Estefani Gaytan Nunez

upload

Showing 97 changed files with 13096 additions and 2 deletions
...@@ -86,6 +86,9 @@ if __name__ == '__main__': ...@@ -86,6 +86,9 @@ if __name__ == '__main__':
86 scores[report[7:11]]['f1-score']=summaryScores[2] 86 scores[report[7:11]]['f1-score']=summaryScores[2]
87 87
88 print(DF(scores).T) 88 print(DF(scores).T)
89 + print('------------------------------- SAVING TABLE --------------------------------\n')
90 + with open(os.path.join(options.inputPath, str(options.figureName) ), 'w') as File:
91 +
89 scoresTable = DF(scores).T 92 scoresTable = DF(scores).T
90 93
91 imageName=os.path.join(options.outputPath, options.figureName) 94 imageName=os.path.join(options.outputPath, options.figureName)
......
1 +from optparse import OptionParser
2 +import re
3 +from collections import defaultdict as df
4 +import os
5 +import random
6 +from pandas import DataFrame as DF
7 +import matplotlib.pyplot as plt
8 +
9 +# Objective
10 +# Drawn figures of grid reports
11 +#
12 +# Input parameters
13 +# --inputPath=PATH Path of inputfiles
14 +# --outputPath=PATH Path to place output figures
15 +# --figureName single run specific name figure, multifigure first part of name
16 +# --inputFile Use it for a single report
17 +# --version CRF-script version of reports
18 +#
19 +# Output
20 +# training and test data set
21 +#
22 +# Examples
23 +# python figures-reports.py
24 +# --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/reports/
25 +# --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/figures/
26 +# --figureName FiguresGrid
27 +# --inputFile report_Run1_v11.txt
28 +# --version v11
29 +
30 +# python figures-tag-report.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/reports/ --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/figures/ --figureName FiguresGrid_v11 --version v11
31 +__author__ = 'egaytan'
32 +
33 +####################################################################################
34 +# FUNCTIONS #
35 +####################################################################################
36 +def Filter(rfile, options,v):
37 + if options[0]=='all':
38 + if rfile[0:6]=='report' and rfile[-7:-4]==v: return(True)
39 + elif rfile in options:
40 + return(True)
41 + return(False)
42 +
43 +####################################################################################
44 +# MAIN PROGRAM #
45 +####################################################################################
46 +
47 +if __name__ == '__main__':
48 + # Defining parameters
49 + parser = OptionParser()
50 + parser.add_option('--inputPath', dest='inputPath', help='Path of output from CoreNLP', metavar='PATH')
51 + parser.add_option('--outputPath', dest='outputPath', help='Path to place output figures', metavar='PATH')
52 + parser.add_option('--figureName', dest='figureName', help='Specific or first part of figurename', metavar='FILE')
53 + parser.add_option('--version', dest='version', help='script version', metavar='FILE')
54 + parser.add_option('--inputFile', dest='inputFile', help='Use it for a specific report files', metavar='FILE', default='all,')
55 +
56 + (options, args) = parser.parse_args()
57 + if len(args) > 0:
58 + parser.error('Any parameter given.\nFor multi input files be sure to seprate the filenames by coma')
59 + sys.exit(1)
60 +
61 + print('-------------------------------- PARAMETERS --------------------------------')
62 + print('Path of output from CoreNLP: ' + str(options.inputPath))
63 + print('Path to place output figures: ' + str(options.outputPath))
64 + print('Specific or first part of figurename: ' + str(options.figureName))
65 + print('CRF-script version: ' + str(options.version))
66 +
67 + print('-------------------------------- PROCESSING --------------------------------')
68 +
69 + rawInputRepotsList = str(options.inputFile).split(',')
70 + reportFileList = [ rfile for rfile in os.listdir(options.inputPath) if Filter(rfile, rawInputRepotsList, str(options.version)) ]
71 + scores = df(dict)
72 + #CV={}
73 + print('Report files: ' + str(options.inputFile ))
74 + print('\n'.join(reportFileList))
75 + print('----------------------------------- NOTE -----------------------------------')
76 + print('\n-------- All chosen report files should be in inputPath given---------------\n')
77 +
78 + print('------------------------------- SAVING DATA --------------------------------\n')
79 + OD, pH, Technique, Med, Temp, Vess, Agit, Phase, Air, Anti, Strain, Gtype, Substrain, Supp, Gversion = [], [], [], [], [], [], [], [], [], [], [], [], [], [], []
80 +
81 + precision = df(list)
82 + recall = df(list)
83 + fscore = df(list)
84 + support = df(list)
85 + for report in reportFileList:
86 + tags = {}
87 + with open(os.path.join(options.inputPath, report), 'r') as File:
88 + string = File.read()
89 + tags['OD']= re.findall('OD\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
90 + tags['pH']= re.findall('pH\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
91 + tags['Technique']= re.findall('Technique\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
92 + tags['Med']= re.findall('Med\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
93 + tags['Temp']= re.findall('Temp\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
94 + tags['Vess']= re.findall('Vess\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
95 + tags['Agit']= re.findall('Agit\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
96 + tags['Phase']= re.findall('Phase\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
97 + tags['Air']= re.findall('Air\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
98 + tags['Anti']= re.findall('Anti\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
99 + tags['Strain']= re.findall('Strain\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
100 + tags['Gtype']= re.findall('Gtype\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
101 + tags['Substrain']= re.findall('Substrain\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
102 + tags['Supp']= re.findall('Supp\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
103 + tags['Gversion']= re.findall('Gversion\s+(\d+.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
104 +
105 + for k in tags.keys():
106 + precision[k].append(float(tags[k][0]))
107 + recall[k].append(float(tags[k][1]))
108 + fscore[k].append(float(tags[k][2]))
109 + #support[k].append(tags[k][3])
110 + print(DF(precision))
111 + print(precision)
112 + #lines = ['-', '--', '-.', ':', '.', ',', 'o', 'v', '^', '<', '>', '1', '2', '3', '4', 's', 'p', '*', 'h', 'H', '+', 'x', 'D', 'd', '|', '_']
113 + lines = ['-','--','-.',':','o','v','^','<','>','s','p','*','H','+','x','D','|']
114 + imageName = str(options.figureName) + '_' + str(options.version)
115 + fig = plt.figure()
116 + plt.rcParams.update({'font.size': 15})
117 + #fig.set_figheight(13)
118 + #fig.set_figwidth(20)
119 + plt.xlabel("Runs")
120 + plt.ylabel("score")
121 + plt.ylim(-0.2, 1.2)
122 + lines=['-', '--', '-.', ':', ',', 'o', 'v', '^', '<', '>', '1', '2', '3', '4', 's', 'p', '*', 'h', 'H', '+', 'x', 'D', 'd', '|', '_']
123 + for i,k in enumerate(tags.keys()):
124 + plt.grid(False)
125 +
126 + plt.plot(precision[k], lines[i], label=k, linewidth=8)
127 + plt.legend(loc='lower right')
128 + plt.tight_layout()
129 + plt.xticks(range(8),['run1', 'run2', 'run3', 'run4', 'run5', 'run6', 'run7', 'run8'])
130 + fig.savefig(imageName, bbox_inches='tight', pad_inches = 0.5)
1 +python3 training_validation_v12.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_1 --version _v12 > ../outputs/Run_1.txt
2 +python3 training_validation_v12.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_2 --version _v12 --S1 > ../outputs/Run_2.txt
3 +python3 training_validation_v12.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_3 --version _v12 --S2 > ../outputs/Run_3.txt
4 +python3 training_validation_v12.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_4 --version _v12 --S1 --S2 > ../outputs/Run_4.txt
5 +python3 training_validation_v12.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_5 --version _v12 --S3 > ../outputs/Run_5.txt
6 +python3 training_validation_v12.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_6 --version _v12 --S1 --S3 > ../outputs/Run_6.txt
7 +python3 training_validation_v12.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_7 --version _v12 --S2 --S3 > ../outputs/Run_7.txt
8 +python3 training_validation_v12.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_8 --version _v12 --S1 --S2 --S3 > ../outputs/Run_8.txt
9 +
10 +
1 +python3 training_validation_v13.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_1 --version _v13 > ../outputs/Run_1.txt
2 +python3 training_validation_v13.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_2 --version _v13 --S1 > ../outputs/Run_2.txt
3 +python3 training_validation_v13.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_3 --version _v13 --S2 > ../outputs/Run_3.txt
4 +python3 training_validation_v13.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_4 --version _v13 --S1 --S2 > ../outputs/Run_4.txt
5 +python3 training_validation_v13.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_5 --version _v13 --S3 > ../outputs/Run_5.txt
6 +python3 training_validation_v13.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_6 --version _v13 --S1 --S3 > ../outputs/Run_6.txt
7 +python3 training_validation_v13.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_7 --version _v13 --S2 --S3 > ../outputs/Run_7.txt
8 +python3 training_validation_v13.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --Gridname Run_8 --version _v13 --S1 --S2 --S3 > ../outputs/Run_8.txt
9 +
10 +
...@@ -423,7 +423,8 @@ if __name__ == "__main__": ...@@ -423,7 +423,8 @@ if __name__ == "__main__":
423 # Saving model 423 # Saving model
424 print(" Saving training model...") 424 print(" Saving training model...")
425 t1 = time() 425 t1 = time()
426 - nameModel = 'model_S1_' + str(options.S1) + '_S2_' + str(options.S2) + str(options.version) + '.mod' 426 + #nameModel = 'model_S1_' + str(options.S1) + '_S2_' + str(options.S2) + str(options.version) + '_S3_' + str(options.S3) + '.mod'
427 + nameModel = 'model_S1_' + str(options.S1) + '_S2_' + str(options.S2) + '_S3_' + str(options.S3) + '_' + str(options.Gridname) + str(options.version) + '.mod'
427 joblib.dump(crf, os.path.join(options.outputPath, "models", nameModel)) 428 joblib.dump(crf, os.path.join(options.outputPath, "models", nameModel))
428 print(" Saving training model done in: %fs" % (time() - t1)) 429 print(" Saving training model done in: %fs" % (time() - t1))
429 430
......
...@@ -423,7 +423,9 @@ if __name__ == "__main__": ...@@ -423,7 +423,9 @@ if __name__ == "__main__":
423 # Saving model 423 # Saving model
424 print(" Saving training model...") 424 print(" Saving training model...")
425 t1 = time() 425 t1 = time()
426 - nameModel = 'model_S1_' + str(options.S1) + '_S2_' + str(options.S2) + str(options.version) + '_S3_' + str(options.S3) + '.mod' 426 + #nameModel = 'model_S1_' + str(options.S1) + '_S2_' + str(options.S2) + str(options.version) + '_S3_' + str(options.S3) + '.mod'
427 + nameModel = 'model_S1_' + str(options.S1) + '_S2_' + str(options.S2) + '_S3_' + str(options.S3) + '_' + str(options.Gridname) + str(options.version) + '.mod'
428 +
427 joblib.dump(crf, os.path.join(options.outputPath, "models", nameModel)) 429 joblib.dump(crf, os.path.join(options.outputPath, "models", nameModel))
428 print(" Saving training model done in: %fs" % (time() - t1)) 430 print(" Saving training model done in: %fs" % (time() - t1))
429 431
......
1 +# -*- coding: UTF-8 -*-
2 +
3 +import os
4 +from itertools import chain
5 +from optparse import OptionParser
6 +from time import time
7 +from collections import Counter
8 +import re
9 +
10 +import nltk
11 +import sklearn
12 +import scipy.stats
13 +import sys
14 +
15 +from sklearn.externals import joblib
16 +from sklearn.metrics import make_scorer
17 +from sklearn.cross_validation import cross_val_score
18 +from sklearn.grid_search import RandomizedSearchCV
19 +
20 +import sklearn_crfsuite
21 +from sklearn_crfsuite import scorers
22 +from sklearn_crfsuite import metrics
23 +
24 +from pandas import DataFrame as DF
25 +from nltk.corpus import stopwords
26 +
27 +
28 +# Objective
29 +# Training and evaluation of CRFs with sklearn-crfsuite.
30 +#
31 +# Input parameters
32 +# --inputPath=PATH Path of training and test data set
33 +# --trainingFile File with training data set
34 +# --testFile File with test data set
35 +# --outputPath=PATH Output path to place output files
36 +# --nameGrid Number of run
37 +# --version Version Report
38 +
39 +# Output
40 +# 1) Best model
41 +# 2) Report
42 +
43 +# Examples
44 +# python training_validation_v10.py
45 +# --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
46 +# --trainingFile training-data-set-70.txt
47 +# --testFile test-data-set-30.txt
48 +# --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/
49 +# --version _v1
50 +# python3 training_validation_v9.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --nameGrid Run1 --version _v1 --S1 --S2 --S3
51 +
52 +##################################################################
53 +# FEATURES #
54 +##################################################################
55 +
56 +#================== COMPLETE WORD FEATURES ======================#
57 +
58 +def isGreek(word):
59 + ## Complete word are greek letters
60 + alphabet = ['Α','Β','Γ','Δ','Ε','Ζ','Η','Θ','Ι','Κ','Λ','Μ','Ν','Ξ','Ο','Π','Ρ','Σ','Τ','Υ','Φ','Χ','Ψ','Ω',
61 + 'α','β','γ','δ','ε','ζ','η','θ','ι','κ','λ','μ','ν','ξ','ο','π','ρ','ς','σ','τ','υ','φ','χ','ψ','ω']
62 + if word in alphabet:
63 + return True
64 + else:
65 + return False
66 +
67 +#================ INNER OF THE WORD FEATURES ====================#
68 +
69 +def hNumber(word):
70 + ## Al leats has one greek letter
71 + for l in word:
72 + if l.isdigit():
73 + return True
74 + return False
75 +
76 +def symb(word):
77 + n=0
78 + ## At least a not alphanumeric character
79 + for l in word:
80 + if l.isdigit(): n = n+1
81 + if l.isalpha(): n = n+1
82 + #Exclude Greek letters
83 + if isGreek(l): n = n+1
84 +
85 + if n<len(word): return True
86 + else: return False
87 +
88 +def hUpper(word):
89 + ## At least an upper letter
90 + for l in word:
91 + if l.isupper(): return True
92 + return False
93 +
94 +def hLower(word):
95 + ## At least a lower letter
96 + for l in word:
97 + if l.islower(): return True
98 + return False
99 +
100 +def hGreek(word):
101 + ## At least a greek letter
102 + for l in word:
103 + if isGreek(l): return True
104 + return False
105 +
106 +#============================FEATURES===========================#
107 +
108 +def word2features(sent, i, S1, S2, S3):
109 + ## Getting word features
110 +
111 + ## Saving CoreNLP annotations
112 + listElem = sent[i].split('|')
113 + word = listElem[0]
114 + lemma = listElem[1]
115 + postag = listElem[2]
116 + #ner = listElem[4]
117 +
118 + #=========================== G =============================#
119 + ## NAME LEVEL G
120 + ## FUTURE TYPE General features
121 +
122 + features = {
123 + ## basal features
124 + 'lemma': lemma,
125 + 'postag': postag
126 + }
127 +
128 + ## more tha one word in sentence
129 + if i > 0:
130 + ## Anterior word
131 + listElem = sent[i - 1].split('|')
132 +
133 + ## Saving CoreNLP annotations
134 + lemma0 = listElem[1]
135 + postag0 = listElem[2]
136 + features.update({
137 + #LemaG anterior
138 + '-1:lemma': lemma0,
139 + #Postag anterior
140 + '-1:postag': postag0,
141 + })
142 +
143 + ## is not the last word
144 + if i < len(sent) - 1:
145 + ## Posterior word
146 + listElem = sent[i + 1].split('|')
147 + ## Saving CoreNLP annotations
148 + lemma2 = listElem[1]
149 + postag2 = listElem[2]
150 +
151 + features.update({
152 + #LemaG posterior
153 + '+1:lemma': lemma2,
154 + #Postag posterior
155 + '+1:postag': postag2,
156 + })
157 +
158 + #=========================== S1 =============================#
159 + ## NAME LEVEL S1
160 + ## FEATURE TYPE Inner word features
161 +
162 + if S1:
163 + #Add features
164 + features['hUpper']= hUpper(word)
165 + features['hLower']= hUpper(word)
166 + features['hGreek']= hGreek(word)
167 + features['symb']= symb(word)
168 + #word firstChar
169 + features['word[:1]']= word[:1]
170 + #word secondChar
171 + if len(word)>1:
172 + features['word[:2]']= word[:2]
173 + #lemma and postag firstChar
174 + #features['lemma[:1]']= lemma[:1]
175 + features['postag[:1]']= postag[:1]
176 + #lemma and postag secondChar
177 + #if len(lemma)>1:
178 + # features['lemma[:2]']= lemma[:2]
179 + if len(postag)>1:
180 + features['postag[:2]']= postag[:2]
181 + #=========================== S2 =============================#
182 + ## NAME LEVEL S2
183 + ## FEATURE TYPE Complete word features
184 +
185 + if S2:
186 + #Add features
187 + features['word']= word
188 + features['isUpper']= word.isupper()
189 + features['isLower']= word.islower()
190 + features['isGreek']= isGreek(word)
191 + features['isNumber']= word.isdigit()
192 + ## more tha one word in sentence
193 + if i > 0:
194 + ## Anterior word
195 + listElem = sent[i - 1].split('|')
196 + ## Saving CoreNLP annotations
197 + word0 = listElem[0]
198 + features['-1:word']= word0
199 +
200 + ## is not the last word
201 + if i < len(sent)-1:
202 + listElem = sent[i + 1].split('|')
203 + ## Saving CoreNLP annotations
204 + word2 = listElem[0]
205 + ## Posterior word
206 + features['+1:word']= word2
207 +
208 + #=========================== S3 =============================#
209 + ## NAME LEVEL S3
210 + ## FEATURE TYPE Extended context features
211 + if S3:
212 + ## more tha two words in sentence
213 + if i > 1:
214 + ## two anterior lemma and postag
215 + listElem = sent[i - 2].split('|')
216 + ## Saving CoreNLP annotations
217 + lemma01 = listElem[1]
218 + postag01 = listElem[2]
219 + features['-2:lemma']= lemma01
220 + features['-2:postag']= postag01
221 +
222 + ## is not the penultimate word
223 + if i < len(sent) - 2:
224 + listElem = sent[i + 2].split('|')
225 + ## Saving CoreNLP annotations
226 + lemma02 = listElem[1]
227 + postag02 = listElem[2]
228 + ## two posterior lemma and postag
229 + features['+2:lemma']= lemma02
230 + features['+2:postag']= postag02
231 +
232 + return features
233 +
234 +def sent2features(sent, S1, S2, S3):
235 + ## Itering in sentence for each word and saving its features
236 + return [word2features(sent, i, S1, S2, S3) for i in range(len(sent))]
237 +
238 +def sent2labels(sent):
239 + ## 3rd position by word is the label
240 + return [elem.split('|')[3] for elem in sent]
241 +
242 +def sent2tokens(sent):
243 + return [token for token, postag, label in sent]
244 +
245 +def print_transitions(trans_features, f):
246 + for (label_from, label_to), weight in trans_features:
247 + f.write("{:6} -> {:7} {:0.6f}\n".format(label_from, label_to, weight))
248 +
249 +def print_state_features(state_features, f):
250 + for (attr, label), weight in state_features:
251 + f.write("{:0.6f} {:8} {}\n".format(weight, label, attr.encode("utf-8")))
252 +
253 +
254 +__author__ = 'egaytan'
255 +
256 +##################################################################
257 +# MAIN PROGRAM #
258 +##################################################################
259 +
260 +if __name__ == "__main__":
261 + ## Defining parameters
262 + parser = OptionParser()
263 + parser.add_option("--inputPath", dest="inputPath", help="Path of training data set", metavar="PATH")
264 + parser.add_option("--outputPath", dest="outputPath", help="Output path to place output files", metavar="PATH")
265 + parser.add_option("--trainingFile", dest="trainingFile", help="File with training data set", metavar="FILE")
266 + parser.add_option("--testFile", dest="testFile", help="File with test data set", metavar="FILE")
267 + parser.add_option("--Gridname", dest="Gridname", help="Report number run", metavar="FILE")
268 + parser.add_option("--version", dest="version", help="Report file", metavar="FILE")
269 + parser.add_option("--S1", dest="S1", help="Future Type", action="store_true", default=False)
270 + parser.add_option("--S2", dest="S2", help="Future Type", action="store_true", default=False)
271 + parser.add_option("--S3", dest="S3", help="Future Type", action="store_true", default=False)
272 + parser.add_option("--excludeStopWords", dest="excludeStopWords",help="Exclude stop words", action="store_true", default=False)
273 + parser.add_option("--excludeSymbols", dest="excludeSymbols", help="Exclude punctuation marks", action="store_true", default=False)
274 +
275 +
276 + (options, args) = parser.parse_args()
277 + if len(args) > 0:
278 + parser.error("Any parameter given.")
279 + sys.exit(1)
280 +
281 + print('-------------------------------- PARAMETERS --------------------------------')
282 + print("Path of training data set: " + options.inputPath)
283 + print("File with training data set: " + str(options.trainingFile))
284 + print("Path of test data set: " + options.inputPath)
285 + print("File with test data set: " + str(options.testFile))
286 + print("Exclude stop words: " + str(options.excludeStopWords))
287 + print("Levels: " + str(options.S1) + " " + str(options.S2))
288 + print("Report file: " + str(options.version))
289 +
290 +
291 + symbols = ['.', ',', ':', ';', '?', '!', '\'', '"', '<', '>', '(', ')', '-', '_', '/', '\\', '¿', '¡', '+', '{',
292 + '}', '[', ']', '*', '%', '$', '#', '&', '°', '`', '...']
293 + print("Exclude symbols: " + str(options.excludeSymbols))
294 +
295 + print('-------------------------------- PROCESSING --------------------------------')
296 + print('Reading corpus...')
297 + t0 = time()
298 +
299 + sentencesTrainingData = []
300 + sentencesTestData = []
301 +
302 + stopwords = [word for word in stopwords.words('english')]
303 +
304 + with open(os.path.join(options.inputPath, options.trainingFile), "r") as iFile:
305 + for line in iFile.readlines():
306 + listLine = []
307 + line = line.strip('\n')
308 + for token in line.split():
309 + if options.excludeStopWords:
310 + listToken = token.split('|')
311 + lemma = listToken[1]
312 + if lemma in stopwords:
313 + continue
314 + if options.excludeSymbols:
315 + listToken = token.split('|')
316 + lemma = listToken[1]
317 + if lemma in symbols:
318 + continue
319 + listLine.append(token)
320 + sentencesTrainingData.append(listLine)
321 + print(" Sentences training data: " + str(len(sentencesTrainingData)))
322 +
323 + with open(os.path.join(options.inputPath, options.testFile), "r") as iFile:
324 + for line in iFile.readlines():
325 + listLine = []
326 + line = line.strip('\n')
327 + for token in line.split():
328 + if options.excludeStopWords:
329 + listToken = token.split('|')
330 + lemma = listToken[1]
331 + if lemma in stopwords:
332 + continue
333 + if options.excludeSymbols:
334 + listToken = token.split('|')
335 + lemma = listToken[1]
336 + if lemma in symbols:
337 + continue
338 + listLine.append(token)
339 + sentencesTestData.append(listLine)
340 + print(" Sentences test data: " + str(len(sentencesTestData)))
341 +
342 + print("Reading corpus done in: %fs" % (time() - t0))
343 +
344 + print('-------------------------------- FEATURES --------------------------------')
345 +
346 + Dtraning = sent2features(sentencesTrainingData[0], options.S1, options.S2, options.S3)[2]
347 + Dtest = sent2features(sentencesTestData[0], options.S1, options.S2, options.S3)[2]
348 + print('--------------------------Features Training ---------------------------')
349 + print(DF(list(Dtraning.items())))
350 + print('--------------------------- FeaturesTest -----------------------------')
351 + print(DF(list(Dtest.items())))
352 +
353 + t0 = time()
354 +
355 + X_train = [sent2features(s, options.S1, options.S2, options.S3) for s in sentencesTrainingData]
356 + y_train = [sent2labels(s) for s in sentencesTrainingData]
357 +
358 + X_test = [sent2features(s, options.S1, options.S2, options.S3) for s in sentencesTestData]
359 + # print X_test
360 + y_test = [sent2labels(s) for s in sentencesTestData]
361 +
362 + # Fixed parameters
363 + # crf = sklearn_crfsuite.CRF(
364 + # algorithm='lbfgs',
365 + # c1=0.1,
366 + # c2=0.1,
367 + # max_iterations=100,
368 + # all_pgossible_transitions=True
369 + # )
370 +
371 + # Hyperparameter Optimization
372 + crf = sklearn_crfsuite.CRF(
373 + algorithm='lbfgs',
374 + max_iterations=100,
375 + all_possible_transitions=True
376 + )
377 + params_space = {
378 + 'c1': scipy.stats.expon(scale=0.5),
379 + 'c2': scipy.stats.expon(scale=0.05),
380 + }
381 +
382 + # Original: labels = list(crf.classes_)
383 + # Original: labels.remove('O')
384 + labels = list(['Gtype', 'Gversion', 'Med', 'Phase', 'Strain', 'Substrain', 'Supp', 'Technique', 'Temp', 'OD', 'Anti', 'Agit', 'Air', 'Vess', 'pH'])
385 +
386 + # use the same metric for evaluation
387 + f1_scorer = make_scorer(metrics.flat_f1_score,
388 + average='weighted', labels=labels)
389 +
390 + # search
391 + rs = RandomizedSearchCV(crf, params_space,
392 + cv=10,
393 + verbose=3,
394 + n_jobs=-1,
395 + n_iter=20,
396 + # n_iter=50,
397 + scoring=f1_scorer)
398 + rs.fit(X_train, y_train)
399 +
400 + # Fixed parameters
401 + # crf.fit(X_train, y_train)
402 +
403 + # Best hiperparameters
404 + # crf = rs.best_estimator_
405 +
406 + nameReport = str(options.Gridname) + str(options.version) + '.txt'
407 + with open(os.path.join(options.outputPath, "reports", "report_" + nameReport), mode="w") as oFile:
408 + oFile.write("********** TRAINING AND TESTING REPORT **********\n")
409 + oFile.write("Training file: " + options.trainingFile + '\n')
410 + oFile.write('\n')
411 + oFile.write('best params:' + str(rs.best_params_) + '\n')
412 + oFile.write('best CV score:' + str(rs.best_score_) + '\n')
413 + oFile.write('model size: {:0.2f}M\n'.format(rs.best_estimator_.size_ / 1000000))
414 +
415 + print("Training done in: %fs" % (time() - t0))
416 + t0 = time()
417 +
418 + # Update best crf
419 + crf = rs.best_estimator_
420 +
421 + # Saving model
422 + print(" Saving training model...")
423 + t1 = time()
424 + nameModel = 'model_S1_' + str(options.S1) + '_S2_' + str(options.S2) + '_S3_' + str(options.S3) + '_' + str(options.Gridname) + str(options.version) + '.mod'
425 + joblib.dump(crf, os.path.join(options.outputPath, "models", nameModel))
426 + print(" Saving training model done in: %fs" % (time() - t1))
427 +
428 + # Evaluation against test data
429 + y_pred = crf.predict(X_test)
430 + print("*********************************")
431 + print("Prediction done in: %fs" % (time() - t0))
432 +
433 + # labels = list(crf.classes_)
434 + # labels.remove('O')
435 +
436 + with open(os.path.join(options.outputPath, "reports", "report_" + nameReport), mode="a") as oFile:
437 + oFile.write('\n')
438 + oFile.write("Flat F1: " + str(metrics.flat_f1_score(y_test, y_pred, average='weighted', labels=labels)))
439 + oFile.write('\n')
440 + # labels = list(crf.classes_)
441 + sorted_labels = sorted(
442 + labels,
443 + key=lambda name: (name[1:], name[0])
444 + )
445 + oFile.write(metrics.flat_classification_report(
446 + y_test, y_pred, labels=sorted_labels, digits=3
447 + ))
448 + oFile.write('\n')
449 +
450 + oFile.write("\nTop likely transitions:\n")
451 + print_transitions(Counter(crf.transition_features_).most_common(50), oFile)
452 + oFile.write('\n')
453 +
454 + oFile.write("\nTop unlikely transitions:\n")
455 + print_transitions(Counter(crf.transition_features_).most_common()[-50:], oFile)
456 + oFile.write('\n')
457 +
458 + oFile.write("\nTop positive:\n")
459 + print_state_features(Counter(crf.state_features_).most_common(200), oFile)
460 + oFile.write('\n')
461 +
462 + oFile.write("\nTop negative:\n")
463 + print_state_features(Counter(crf.state_features_).most_common()[-200:], oFile)
464 + oFile.write('\n')
465 +
1 +# -*- coding: UTF-8 -*-
2 +
3 +import os
4 +from itertools import chain
5 +from optparse import OptionParser
6 +from time import time
7 +from collections import Counter
8 +import re
9 +
10 +import nltk
11 +import sklearn
12 +import scipy.stats
13 +import sys
14 +
15 +from sklearn.externals import joblib
16 +from sklearn.metrics import make_scorer
17 +from sklearn.cross_validation import cross_val_score
18 +from sklearn.grid_search import RandomizedSearchCV
19 +
20 +import sklearn_crfsuite
21 +from sklearn_crfsuite import scorers
22 +from sklearn_crfsuite import metrics
23 +
24 +from pandas import DataFrame as DF
25 +from nltk.corpus import stopwords
26 +
27 +
28 +# Objective
29 +# Training and evaluation of CRFs with sklearn-crfsuite.
30 +#
31 +# Input parameters
32 +# --inputPath=PATH Path of training and test data set
33 +# --trainingFile File with training data set
34 +# --testFile File with test data set
35 +# --outputPath=PATH Output path to place output files
36 +# --nameGrid Number of run
37 +# --version Version Report
38 +
39 +# Output
40 +# 1) Best model
41 +# 2) Report
42 +
43 +# Examples
44 +# python training_validation_v10.py
45 +# --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
46 +# --trainingFile training-data-set-70.txt
47 +# --testFile test-data-set-30.txt
48 +# --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/
49 +# --version _v1
50 +# python3 training_validation_v9.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets --trainingFile training-data-set-70.txt --testFile test-data-set-30.txt --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/ --nameGrid Run1 --version _v1 --S1 --S2 --S3
51 +
52 +##################################################################
53 +# FEATURES #
54 +##################################################################
55 +
56 +#================== COMPLETE WORD FEATURES ======================#
57 +
58 +def isGreek(word):
59 + ## Complete word are greek letters
60 + alphabet = ['Α','Β','Γ','Δ','Ε','Ζ','Η','Θ','Ι','Κ','Λ','Μ','Ν','Ξ','Ο','Π','Ρ','Σ','Τ','Υ','Φ','Χ','Ψ','Ω',
61 + 'α','β','γ','δ','ε','ζ','η','θ','ι','κ','λ','μ','ν','ξ','ο','π','ρ','ς','σ','τ','υ','φ','χ','ψ','ω']
62 + if word in alphabet:
63 + return True
64 + else:
65 + return False
66 +
67 +#================ INNER OF THE WORD FEATURES ====================#
68 +
69 +def hNumber(word):
70 + ## Al leats has one greek letter
71 + for l in word:
72 + if l.isdigit():
73 + return True
74 + return False
75 +
76 +def symb(word):
77 + n=0
78 + ## At least a not alphanumeric character
79 + for l in word:
80 + if l.isdigit(): n = n+1
81 + if l.isalpha(): n = n+1
82 + #Exclude Greek letters
83 + if isGreek(l): n = n+1
84 +
85 + if n<len(word): return True
86 + else: return False
87 +
88 +def hUpper(word):
89 + ## At least an upper letter
90 + for l in word:
91 + if l.isupper(): return True
92 + return False
93 +
94 +def hLower(word):
95 + ## At least a lower letter
96 + for l in word:
97 + if l.islower(): return True
98 + return False
99 +
100 +def hGreek(word):
101 + ## At least a greek letter
102 + for l in word:
103 + if isGreek(l): return True
104 + return False
105 +
106 +#============================FEATURES===========================#
107 +
108 +def word2features(sent, i, S1, S2, S3):
109 + ## Getting word features
110 +
111 + ## Saving CoreNLP annotations
112 + listElem = sent[i].split('|')
113 + word = listElem[0]
114 + lemma = listElem[1]
115 + postag = listElem[2]
116 + #ner = listElem[4]
117 +
118 + #=========================== G =============================#
119 + ## NAME LEVEL G
120 + ## FUTURE TYPE General features
121 +
122 + features = {
123 + ## basal features
124 + 'lemma': lemma,
125 + 'postag': postag
126 + }
127 +
128 + ## more tha one word in sentence
129 + if i > 0:
130 + ## Anterior word
131 + listElem = sent[i - 1].split('|')
132 +
133 + ## Saving CoreNLP annotations
134 + lemma0 = listElem[1]
135 + postag0 = listElem[2]
136 + features.update({
137 + #LemaG anterior
138 + '-1:lemma': lemma0,
139 + #Postag anterior
140 + '-1:postag': postag0,
141 + })
142 +
143 + ## is not the last word
144 + if i < len(sent) - 1:
145 + ## Posterior word
146 + listElem = sent[i + 1].split('|')
147 + ## Saving CoreNLP annotations
148 + lemma2 = listElem[1]
149 + postag2 = listElem[2]
150 +
151 + features.update({
152 + #LemaG posterior
153 + '+1:lemma': lemma2,
154 + #Postag posterior
155 + '+1:postag': postag2,
156 + })
157 +
158 + #=========================== S1 =============================#
159 + ## NAME LEVEL S1
160 + ## FEATURE TYPE Inner word features
161 +
162 + if S1:
163 + #Add features
164 + features['hUpper']= hUpper(word)
165 + features['hLower']= hUpper(word)
166 + features['hGreek']= hGreek(word)
167 + features['symb']= symb(word)
168 + '''
169 + #word firstChar
170 + features['word[:1]']= word[:1]
171 + #word secondChar
172 + if len(word)>1:
173 + features['word[:2]']= word[:2]
174 + '''
175 + #lemma and postag firstChar
176 + features['lemma[:1]']= lemma[:1]
177 + #features['postag[:1]']= postag[:1]
178 + #lemma and postag secondChar
179 + if len(lemma)>1:
180 + features['lemma[:2]']= lemma[:2]
181 + '''
182 + if len(postag)>1:
183 + features['postag[:2]']= postag[:2]
184 + '''
185 + #=========================== S2 =============================#
186 + ## NAME LEVEL S2
187 + ## FEATURE TYPE Complete word features
188 +
189 + if S2:
190 + #Add features
191 + features['word']= word
192 + features['isUpper']= word.isupper()
193 + features['isLower']= word.islower()
194 + features['isGreek']= isGreek(word)
195 + features['isNumber']= word.isdigit()
196 + ## more tha one word in sentence
197 + if i > 0:
198 + ## Anterior word
199 + listElem = sent[i - 1].split('|')
200 + ## Saving CoreNLP annotations
201 + word0 = listElem[0]
202 + features['-1:word']= word0
203 +
204 + ## is not the last word
205 + if i < len(sent)-1:
206 + listElem = sent[i + 1].split('|')
207 + ## Saving CoreNLP annotations
208 + word2 = listElem[0]
209 + ## Posterior word
210 + features['+1:word']= word2
211 +
212 + #=========================== S3 =============================#
213 + ## NAME LEVEL S3
214 + ## FEATURE TYPE Extended context features
215 + if S3:
216 + ## more tha two words in sentence
217 + if i > 1:
218 + ## two anterior lemma and postag
219 + listElem = sent[i - 2].split('|')
220 + ## Saving CoreNLP annotations
221 + lemma01 = listElem[1]
222 + postag01 = listElem[2]
223 + features['-2:lemma']= lemma01
224 + features['-2:postag']= postag01
225 +
226 + ## is not the penultimate word
227 + if i < len(sent) - 2:
228 + listElem = sent[i + 2].split('|')
229 + ## Saving CoreNLP annotations
230 + lemma02 = listElem[1]
231 + postag02 = listElem[2]
232 + ## two posterior lemma and postag
233 + features['+2:lemma']= lemma02
234 + features['+2:postag']= postag02
235 +
236 + return features
237 +
238 +def sent2features(sent, S1, S2, S3):
239 + ## Itering in sentence for each word and saving its features
240 + return [word2features(sent, i, S1, S2, S3) for i in range(len(sent))]
241 +
242 +def sent2labels(sent):
243 + ## 3rd position by word is the label
244 + return [elem.split('|')[3] for elem in sent]
245 +
246 +def sent2tokens(sent):
247 + return [token for token, postag, label in sent]
248 +
249 +def print_transitions(trans_features, f):
250 + for (label_from, label_to), weight in trans_features:
251 + f.write("{:6} -> {:7} {:0.6f}\n".format(label_from, label_to, weight))
252 +
253 +def print_state_features(state_features, f):
254 + for (attr, label), weight in state_features:
255 + f.write("{:0.6f} {:8} {}\n".format(weight, label, attr.encode("utf-8")))
256 +
257 +
258 +__author__ = 'egaytan'
259 +
260 +##################################################################
261 +# MAIN PROGRAM #
262 +##################################################################
263 +
264 +if __name__ == "__main__":
265 + ## Defining parameters
266 + parser = OptionParser()
267 + parser.add_option("--inputPath", dest="inputPath", help="Path of training data set", metavar="PATH")
268 + parser.add_option("--outputPath", dest="outputPath", help="Output path to place output files", metavar="PATH")
269 + parser.add_option("--trainingFile", dest="trainingFile", help="File with training data set", metavar="FILE")
270 + parser.add_option("--testFile", dest="testFile", help="File with test data set", metavar="FILE")
271 + parser.add_option("--Gridname", dest="Gridname", help="Report number run", metavar="FILE")
272 + parser.add_option("--version", dest="version", help="Report file", metavar="FILE")
273 + parser.add_option("--S1", dest="S1", help="Future Type", action="store_true", default=False)
274 + parser.add_option("--S2", dest="S2", help="Future Type", action="store_true", default=False)
275 + parser.add_option("--S3", dest="S3", help="Future Type", action="store_true", default=False)
276 + parser.add_option("--excludeStopWords", dest="excludeStopWords",help="Exclude stop words", action="store_true", default=False)
277 + parser.add_option("--excludeSymbols", dest="excludeSymbols", help="Exclude punctuation marks", action="store_true", default=False)
278 +
279 +
280 + (options, args) = parser.parse_args()
281 + if len(args) > 0:
282 + parser.error("Any parameter given.")
283 + sys.exit(1)
284 +
285 + print('-------------------------------- PARAMETERS --------------------------------')
286 + print("Path of training data set: " + options.inputPath)
287 + print("File with training data set: " + str(options.trainingFile))
288 + print("Path of test data set: " + options.inputPath)
289 + print("File with test data set: " + str(options.testFile))
290 + print("Exclude stop words: " + str(options.excludeStopWords))
291 + print("Levels: " + str(options.S1) + " " + str(options.S2))
292 + print("Report file: " + str(options.version))
293 +
294 +
295 + symbols = ['.', ',', ':', ';', '?', '!', '\'', '"', '<', '>', '(', ')', '-', '_', '/', '\\', '¿', '¡', '+', '{',
296 + '}', '[', ']', '*', '%', '$', '#', '&', '°', '`', '...']
297 + print("Exclude symbols: " + str(options.excludeSymbols))
298 +
299 + print('-------------------------------- PROCESSING --------------------------------')
300 + print('Reading corpus...')
301 + t0 = time()
302 +
303 + sentencesTrainingData = []
304 + sentencesTestData = []
305 +
306 + stopwords = [word for word in stopwords.words('english')]
307 +
308 + with open(os.path.join(options.inputPath, options.trainingFile), "r") as iFile:
309 + for line in iFile.readlines():
310 + listLine = []
311 + line = line.strip('\n')
312 + for token in line.split():
313 + if options.excludeStopWords:
314 + listToken = token.split('|')
315 + lemma = listToken[1]
316 + if lemma in stopwords:
317 + continue
318 + if options.excludeSymbols:
319 + listToken = token.split('|')
320 + lemma = listToken[1]
321 + if lemma in symbols:
322 + continue
323 + listLine.append(token)
324 + sentencesTrainingData.append(listLine)
325 + print(" Sentences training data: " + str(len(sentencesTrainingData)))
326 +
327 + with open(os.path.join(options.inputPath, options.testFile), "r") as iFile:
328 + for line in iFile.readlines():
329 + listLine = []
330 + line = line.strip('\n')
331 + for token in line.split():
332 + if options.excludeStopWords:
333 + listToken = token.split('|')
334 + lemma = listToken[1]
335 + if lemma in stopwords:
336 + continue
337 + if options.excludeSymbols:
338 + listToken = token.split('|')
339 + lemma = listToken[1]
340 + if lemma in symbols:
341 + continue
342 + listLine.append(token)
343 + sentencesTestData.append(listLine)
344 + print(" Sentences test data: " + str(len(sentencesTestData)))
345 +
346 + print("Reading corpus done in: %fs" % (time() - t0))
347 +
348 + print('-------------------------------- FEATURES --------------------------------')
349 +
350 + Dtraning = sent2features(sentencesTrainingData[0], options.S1, options.S2, options.S3)[2]
351 + Dtest = sent2features(sentencesTestData[0], options.S1, options.S2, options.S3)[2]
352 + print('--------------------------Features Training ---------------------------')
353 + print(DF(list(Dtraning.items())))
354 + print('--------------------------- FeaturesTest -----------------------------')
355 + print(DF(list(Dtest.items())))
356 +
357 + t0 = time()
358 +
359 + X_train = [sent2features(s, options.S1, options.S2, options.S3) for s in sentencesTrainingData]
360 + y_train = [sent2labels(s) for s in sentencesTrainingData]
361 +
362 + X_test = [sent2features(s, options.S1, options.S2, options.S3) for s in sentencesTestData]
363 + # print X_test
364 + y_test = [sent2labels(s) for s in sentencesTestData]
365 +
366 + # Fixed parameters
367 + # crf = sklearn_crfsuite.CRF(
368 + # algorithm='lbfgs',
369 + # c1=0.1,
370 + # c2=0.1,
371 + # max_iterations=100,
372 + # all_pgossible_transitions=True
373 + # )
374 +
375 + # Hyperparameter Optimization
376 + crf = sklearn_crfsuite.CRF(
377 + algorithm='lbfgs',
378 + max_iterations=100,
379 + all_possible_transitions=True
380 + )
381 + params_space = {
382 + 'c1': scipy.stats.expon(scale=0.5),
383 + 'c2': scipy.stats.expon(scale=0.05),
384 + }
385 +
386 + # Original: labels = list(crf.classes_)
387 + # Original: labels.remove('O')
388 + labels = list(['Gtype', 'Gversion', 'Med', 'Phase', 'Strain', 'Substrain', 'Supp', 'Technique', 'Temp', 'OD', 'Anti', 'Agit', 'Air', 'Vess', 'pH'])
389 +
390 + # use the same metric for evaluation
391 + f1_scorer = make_scorer(metrics.flat_f1_score,
392 + average='weighted', labels=labels)
393 +
394 + # search
395 + rs = RandomizedSearchCV(crf, params_space,
396 + cv=10,
397 + verbose=3,
398 + n_jobs=-1,
399 + n_iter=20,
400 + # n_iter=50,
401 + scoring=f1_scorer)
402 + rs.fit(X_train, y_train)
403 +
404 + # Fixed parameters
405 + # crf.fit(X_train, y_train)
406 +
407 + # Best hiperparameters
408 + # crf = rs.best_estimator_
409 +
410 + nameReport = str(options.Gridname) + str(options.version) + '.txt'
411 + with open(os.path.join(options.outputPath, "reports", "report_" + nameReport), mode="w") as oFile:
412 + oFile.write("********** TRAINING AND TESTING REPORT **********\n")
413 + oFile.write("Training file: " + options.trainingFile + '\n')
414 + oFile.write('\n')
415 + oFile.write('best params:' + str(rs.best_params_) + '\n')
416 + oFile.write('best CV score:' + str(rs.best_score_) + '\n')
417 + oFile.write('model size: {:0.2f}M\n'.format(rs.best_estimator_.size_ / 1000000))
418 +
419 + print("Training done in: %fs" % (time() - t0))
420 + t0 = time()
421 +
422 + # Update best crf
423 + crf = rs.best_estimator_
424 +
425 + # Saving model
426 + print(" Saving training model...")
427 + t1 = time()
428 + nameModel = 'model_S1_' + str(options.S1) + '_S2_' + str(options.S2) + '_S3_' + str(options.S3) + '_' + str(options.Gridname) + str(options.version) +'.mod'
429 + joblib.dump(crf, os.path.join(options.outputPath, "models", nameModel))
430 + print(" Saving training model done in: %fs" % (time() - t1))
431 +
432 + # Evaluation against test data
433 + y_pred = crf.predict(X_test)
434 + print("*********************************")
435 + print("Prediction done in: %fs" % (time() - t0))
436 +
437 + # labels = list(crf.classes_)
438 + # labels.remove('O')
439 +
440 + with open(os.path.join(options.outputPath, "reports", "report_" + nameReport), mode="a") as oFile:
441 + oFile.write('\n')
442 + oFile.write("Flat F1: " + str(metrics.flat_f1_score(y_test, y_pred, average='weighted', labels=labels)))
443 + oFile.write('\n')
444 + # labels = list(crf.classes_)
445 + sorted_labels = sorted(
446 + labels,
447 + key=lambda name: (name[1:], name[0])
448 + )
449 + oFile.write(metrics.flat_classification_report(
450 + y_test, y_pred, labels=sorted_labels, digits=3
451 + ))
452 + oFile.write('\n')
453 +
454 + oFile.write("\nTop likely transitions:\n")
455 + print_transitions(Counter(crf.transition_features_).most_common(50), oFile)
456 + oFile.write('\n')
457 +
458 + oFile.write("\nTop unlikely transitions:\n")
459 + print_transitions(Counter(crf.transition_features_).most_common()[-50:], oFile)
460 + oFile.write('\n')
461 +
462 + oFile.write("\nTop positive:\n")
463 + print_state_features(Counter(crf.state_features_).most_common(200), oFile)
464 + oFile.write('\n')
465 +
466 + oFile.write("\nTop negative:\n")
467 + print_state_features(Counter(crf.state_features_).most_common()[-200:], oFile)
468 + oFile.write('\n')
469 +
1 +mv model_S1_False_S2_False_v11_S3_False.mod model_S1_False_S2_False_S3_False_Run_1_v11.mod
2 +mv model_S1_True_S2_False_v11_S3_False.mod model_S1_True_S2_False_S3_False_Run_2_v11.mod
3 +mv model_S1_False_S2_True_v11_S3_False.mod model_S1_False_S2_True_S3_False_Run_3_v11.mod
4 +mv model_S1_True_S2_True_v11_S3_False.mod model_S1_True_S2_True_S3_False_Run_4_v11.mod
5 +mv model_S1_False_S2_False_v11_S3_True.mod model_S1_False_S2_False_S3_True_Run_5_v11.mod
6 +mv model_S1_True_S2_False_v11_S3_True.mod model_S1_True_S2_False_S3_True_Run_6_v11.mod
7 +mv model_S1_False_S2_True_v11_S3_True.mod model_S1_False_S2_True_S3_True_Run_7_v11.mod
8 +mv model_S1_True_S2_True_v11_S3_True.mod model_S1_True_S2_True_S3_True_Run_8_v11.mod
1 +-------------------------------- PARAMETERS --------------------------------
2 +Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
3 +File with training data set: training-data-set-70.txt
4 +Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
5 +File with test data set: test-data-set-30.txt
6 +Exclude stop words: False
7 +Levels: False False
8 +Report file: _v13
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003697s
15 +-------------------------------- FEATURES --------------------------------
16 +--------------------------Features Training ---------------------------
17 + 0 1
18 +0 lemma 2
19 +1 postag CD
20 +2 -1:lemma fructose
21 +3 -1:postag NN
22 +--------------------------- FeaturesTest -----------------------------
23 + 0 1
24 +0 lemma delta-arca
25 +1 postag NN
26 +2 -1:lemma _
27 +3 -1:postag NN
28 +4 +1:lemma _
29 +5 +1:postag CD
30 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
31 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
32 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.754459 - 0.9s
33 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
34 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.884863 - 1.0s
35 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
36 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.921051 - 1.0s
37 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
38 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.708368 - 1.1s
39 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
40 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.823525 - 1.0s
41 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
42 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.686315 - 0.9s
43 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
44 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.797169 - 1.0s
45 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
46 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.891872 - 1.1s
47 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
48 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.827517 - 1.0s
49 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
50 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.790114 - 1.1s
51 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
52 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.846283 - 1.0s
53 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
54 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.794216 - 1.0s
55 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
56 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.794216 - 1.1s
57 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
58 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.921051 - 1.0s
59 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
60 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.898568 - 1.0s
61 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
62 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.894596 - 0.9s
63 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
64 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.862491 - 1.1s
65 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
66 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.902103 - 1.1s
67 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
68 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.816050 - 1.1s
69 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
70 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.920164 - 1.0s
71 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
72 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.827517 - 0.9s
73 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
74 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.865939 - 1.1s
75 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
76 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.920093 - 1.0s
77 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
78 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.913639 - 1.1s
79 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
80 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.807845 - 1.1s
81 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
82 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.692888 - 0.8s
83 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
84 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.710242 - 1.2s
85 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
86 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.879947 - 1.0s
87 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
88 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.792622 - 1.2s
89 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
90 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.683676 - 1.1s
91 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
92 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.708368 - 1.0s
93 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
94 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.839343 - 0.9s
95 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
96 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.683676 - 1.1s
97 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
98 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.794216 - 1.1s
99 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
100 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.794216 - 1.1s
101 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
102 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.854405 - 0.9s
103 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
104 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.634294 - 1.1s
105 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
106 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.853754 - 1.1s
107 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
108 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.857529 - 1.1s
109 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
110 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.872319 - 1.1s
111 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
112 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.868591 - 1.0s
113 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
114 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.856415 - 1.0s
115 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
116 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.921051 - 1.0s
117 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
118 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.673456 - 0.9s
119 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
120 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.879946 - 1.0s
121 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
122 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.902301 - 1.1s
123 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
124 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.707416 - 1.0s
125 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
126 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.844183 - 1.0s
127 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
128 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.868591 - 1.0s
129 +[CV] c1=0.25820273038993297, c2=0.1449995527843055 ...................
130 +[CV] c1=0.25820273038993297, c2=0.1449995527843055, score=0.848009 - 1.1s
131 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
132 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.792622 - 1.1s
133 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
134 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.619013 - 1.0s
135 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
136 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.708368 - 1.1s
137 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
138 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.829117 - 1.0s
139 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
140 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.827517 - 0.9s
141 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
142 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.773639 - 1.1s
143 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
144 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.885444 - 0.9s
145 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
146 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.820852 - 1.1s
147 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
148 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.785357 - 1.0s
149 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
150 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.911899 - 1.0s
151 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
152 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.794216 - 1.1s
153 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
154 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.835390 - 0.9s
155 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
156 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.924830 - 1.1s
157 +[CV] c1=0.36321959660359887, c2=0.030083524897554965 .................
158 +[CV] c1=0.36321959660359887, c2=0.030083524897554965, score=0.925063 - 1.0s
159 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
160 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.755188 - 1.1s
161 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
162 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.881748 - 1.2s
163 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
164 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.791386 - 0.9s
165 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
166 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.903946 - 1.0s
167 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
168 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.692122 - 1.1s
169 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
170 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.868591 - 1.0s
171 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
172 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.595497 - 1.2s
173 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
174 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.927188 - 1.0s
175 +[CV] c1=0.14843910146742284, c2=0.03226312504680252 ..................
176 +[CV] c1=0.14843910146742284, c2=0.03226312504680252, score=0.846394 - 1.1s
177 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
178 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.675699 - 1.1s
179 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
180 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.708368 - 1.1s
181 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
182 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.794216 - 1.1s
183 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
184 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.881136 - 1.1s
185 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
186 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.868591 - 1.0s
187 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
188 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.791386 - 0.9s
189 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
190 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.794216 - 1.0s
191 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
192 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.788431 - 1.1s
193 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
194 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.884863 - 1.0s
195 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
196 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.794216 - 1.1s
197 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
198 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.548315 - 1.1s
199 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
200 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.857529 - 1.0s
201 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
202 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.708368 - 1.1s
203 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
204 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.690231 - 1.0s
205 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
206 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.920954 - 1.1s
207 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
208 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.677135 - 1.0s
209 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
210 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.812884 - 1.0s
211 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
212 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.921051 - 1.0s
213 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
214 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.914982 - 1.0s
215 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
216 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.772194 - 1.1s
217 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
218 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.712032 - 1.0s
219 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
220 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.906157 - 1.0s
221 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
222 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.869930 - 1.1s
223 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
224 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.862491 - 1.0s
225 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
226 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.827517 - 1.1s
227 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
228 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.831867 - 1.1s
229 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
230 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.755303 - 0.9s
231 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
232 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.931111 - 1.1s
233 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
234 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.708368 - 1.0s
235 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
236 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.912263 - 1.0s
237 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
238 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.708368 - 1.1s
239 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
240 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.874799 - 0.9s
241 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
242 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.794216 - 1.0s
243 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
244 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.857895 - 1.0s
245 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
246 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.920058 - 1.1s
247 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
248 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.804678 - 1.0s
249 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
250 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.809814 - 0.9s
251 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
252 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.913639 - 1.1s
253 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
254 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.839367 - 0.9s
255 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
256 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.794216 - 1.1s
257 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
258 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.874176 - 1.0s
259 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
260 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.852946 - 0.9s
261 +[CV] c1=0.40043615725844317, c2=0.045177502071716565 .................
262 +[CV] c1=0.40043615725844317, c2=0.045177502071716565, score=0.812884 - 1.1s
263 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
264 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.807845 - 1.0s
265 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
266 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.708368 - 1.1s
267 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
268 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.794216 - 1.1s
269 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
270 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.761012 - 0.9s
271 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
272 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.851982 - 1.0s
273 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
274 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.655956 - 0.9s
275 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
276 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.869930 - 1.0s
277 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
278 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.884863 - 1.0s
279 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
280 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.686315 - 1.0s
281 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
282 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.869930 - 1.1s
283 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
284 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.794216 - 1.1s
285 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
286 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.894739 - 1.1s
287 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
288 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.848019 - 1.0s
289 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
290 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.587002 - 1.0s
291 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
292 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.921051 - 1.0s
293 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
294 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.924261 - 1.1s
295 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
296 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.839679 - 1.1s
297 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
298 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.884863 - 1.0s
299 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
300 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.879947 - 0.8s
301 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
302 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.920058 - 1.1s
303 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
304 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.765776 - 1.1s
305 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
306 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.920093 - 1.0s
307 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
308 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.797169 - 0.9s
309 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
310 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.735694 - 1.0s
311 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
312 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.783479 - 1.1s
313 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
314 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.846283 - 1.0s
315 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
316 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.853491 - 1.0s
317 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
318 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.707416 - 1.1s
319 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
320 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.679174 - 0.9s
321 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
322 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.752310 - 1.1s
323 +[CV] c1=0.5538405782197408, c2=0.07960946817558003 ...................
324 +[CV] c1=0.5538405782197408, c2=0.07960946817558003, score=0.807845 - 1.1s
325 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
326 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.855893 - 1.1s
327 +[CV] c1=1.7051690366028645, c2=0.04119436723956498 ...................
328 +[CV] c1=1.7051690366028645, c2=0.04119436723956498, score=0.693211 - 1.1s
329 +[CV] c1=0.506331063874698, c2=0.006453306084976453 ...................
330 +[CV] c1=0.506331063874698, c2=0.006453306084976453, score=0.920058 - 1.1s
331 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
332 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.812884 - 1.0s
333 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
334 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.759895 - 1.0s
335 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
336 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.708368 - 1.1s
337 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
338 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.856415 - 1.0s
339 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
340 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.859998 - 0.9s
341 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
342 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.868591 - 1.0s
343 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
344 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.683196 - 1.1s
345 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
346 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.921051 - 1.0s
347 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
348 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.619013 - 1.1s
349 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
350 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.781269 - 0.8s
351 +[CV] c1=1.1447553603576668, c2=0.01990190550729197 ...................
352 +[CV] c1=1.1447553603576668, c2=0.01990190550729197, score=0.729107 - 1.1s
353 +[CV] c1=0.566877090439985, c2=0.11885476879365008 ....................
354 +[CV] c1=0.566877090439985, c2=0.11885476879365008, score=0.797169 - 1.0s
355 +[CV] c1=0.2423964251520167, c2=0.029664141745187163 ..................
356 +[CV] c1=0.2423964251520167, c2=0.029664141745187163, score=0.871681 - 1.3s
357 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
358 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.707115 - 1.1s
359 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
360 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.765873 - 1.1s
361 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
362 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.868591 - 1.0s
363 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
364 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.893214 - 1.1s
365 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
366 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.857498 - 1.0s
367 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
368 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.862342 - 1.1s
369 +[CV] c1=0.8754300341342343, c2=0.07834116642130053 ...................
370 +[CV] c1=0.8754300341342343, c2=0.07834116642130053, score=0.905836 - 1.0s
371 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
372 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.913639 - 1.1s
373 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
374 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.709347 - 1.1s
375 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
376 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.922832 - 1.1s
377 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
378 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.919477 - 1.1s
379 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
380 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.927169 - 0.8s
381 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
382 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.708368 - 1.1s
383 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
384 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.548315 - 1.1s
385 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
386 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.794216 - 1.1s
387 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
388 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.821611 - 1.1s
389 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
390 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.836791 - 0.8s
391 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
392 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.827517 - 1.0s
393 +[CV] c1=0.6408852258158738, c2=0.00974947513922504 ...................
394 +[CV] c1=0.6408852258158738, c2=0.00974947513922504, score=0.804678 - 1.1s
395 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165 .................
396 +[CV] c1=0.5013481333641194, c2=0.0038888430334755165, score=0.812884 - 1.1s
397 +[CV] c1=0.55474081003644, c2=0.03200599838771336 .....................
398 +[CV] c1=0.55474081003644, c2=0.03200599838771336, score=0.927188 - 1.1s
399 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
400 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.919905 - 0.9s
401 +[CV] c1=0.37003802271170205, c2=0.03235596392564057 ..................
402 +[CV] c1=0.37003802271170205, c2=0.03235596392564057, score=0.914009 - 1.0s
403 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
404 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.883195 - 1.0s
405 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
406 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.824977 - 1.0s
407 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
408 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.824046 - 1.0s
409 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
410 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.889676 - 0.9s
411 +[CV] c1=0.4716413701252996, c2=0.020707741802851287 ..................
412 +[CV] c1=0.4716413701252996, c2=0.020707741802851287, score=0.812884 - 1.1s
413 +[CV] c1=1.3109075902903429, c2=0.0987913465628396 ....................
414 +[CV] c1=1.3109075902903429, c2=0.0987913465628396, score=0.746345 - 1.1s
415 +[CV] c1=0.19892136084009834, c2=0.0215890963028946 ...................
416 +[CV] c1=0.19892136084009834, c2=0.0215890963028946, score=0.906540 - 1.1s
417 +[CV] c1=0.6236675675631103, c2=0.08801024577462967 ...................
418 +[CV] c1=0.6236675675631103, c2=0.08801024577462967, score=0.772475 - 1.1s
419 +[CV] c1=0.06704945233304155, c2=0.06794151143065376 ..................
420 +[CV] c1=0.06704945233304155, c2=0.06794151143065376, score=0.876457 - 0.8s
421 +Training done in: 6.765294s
422 + Saving training model...
423 + Saving training model done in: 0.016333s
424 +*********************************
425 +Prediction done in: 0.029945s
1 +-------------------------------- PARAMETERS --------------------------------
2 +Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
3 +File with training data set: training-data-set-70.txt
4 +Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
5 +File with test data set: test-data-set-30.txt
6 +Exclude stop words: False
7 +Levels: True False
8 +Report file: _v13
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003524s
15 +-------------------------------- FEATURES --------------------------------
16 +--------------------------Features Training ---------------------------
17 + 0 1
18 +0 lemma 2
19 +1 postag CD
20 +2 -1:lemma fructose
21 +3 -1:postag NN
22 +4 hUpper False
23 +5 hLower False
24 +6 hGreek False
25 +7 symb False
26 +8 lemma[:1] 2
27 +--------------------------- FeaturesTest -----------------------------
28 + 0 1
29 +0 lemma delta-arca
30 +1 postag NN
31 +2 -1:lemma _
32 +3 -1:postag NN
33 +4 +1:lemma _
34 +5 +1:postag CD
35 +6 hUpper True
36 +7 hLower True
37 +8 hGreek False
38 +9 symb True
39 +10 lemma[:1] d
40 +11 lemma[:2] de
41 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
42 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
43 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.903013 - 1.0s
44 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
45 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.823347 - 1.2s
46 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
47 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.826770 - 1.3s
48 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
49 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.804632 - 1.3s
50 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
51 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.822297 - 1.3s
52 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
53 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.768346 - 1.2s
54 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
55 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.914124 - 1.2s
56 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
57 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.826784 - 1.2s
58 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
59 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.818942 - 1.2s
60 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
61 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.813100 - 1.4s
62 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
63 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.839590 - 1.2s
64 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
65 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.920107 - 1.2s
66 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
67 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.914124 - 1.3s
68 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
69 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.832633 - 1.3s
70 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
71 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.914124 - 1.2s
72 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
73 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.845585 - 1.0s
74 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
75 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.768346 - 1.4s
76 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
77 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.794216 - 1.3s
78 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
79 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.914573 - 1.2s
80 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
81 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.741087 - 1.4s
82 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
83 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.822003 - 1.1s
84 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
85 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.858878 - 1.3s
86 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
87 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.927031 - 1.2s
88 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
89 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.858878 - 1.3s
90 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
91 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.830456 - 1.3s
92 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
93 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.885830 - 1.2s
94 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
95 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.794216 - 1.4s
96 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
97 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.839590 - 1.2s
98 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
99 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.799176 - 1.4s
100 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
101 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.851102 - 1.3s
102 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
103 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.923528 - 1.4s
104 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
105 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.820019 - 1.2s
106 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
107 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.920107 - 1.2s
108 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
109 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.665260 - 1.1s
110 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
111 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.908120 - 1.3s
112 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
113 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.839590 - 1.3s
114 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
115 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.794216 - 1.3s
116 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
117 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.869411 - 1.2s
118 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
119 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.794216 - 1.1s
120 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
121 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.772731 - 1.1s
122 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
123 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.820019 - 1.1s
124 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
125 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.807863 - 1.4s
126 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
127 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.768346 - 1.3s
128 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
129 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.768346 - 1.3s
130 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
131 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.794216 - 1.3s
132 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
133 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.914124 - 1.4s
134 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
135 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.854074 - 1.3s
136 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
137 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.822253 - 1.1s
138 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
139 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.746818 - 1.3s
140 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
141 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.897054 - 1.1s
142 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
143 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.857708 - 1.2s
144 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
145 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.847686 - 1.4s
146 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
147 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.914573 - 1.2s
148 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
149 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.706226 - 1.3s
150 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
151 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.674835 - 1.2s
152 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
153 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.796207 - 1.3s
154 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
155 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.830456 - 1.3s
156 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
157 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.801006 - 1.4s
158 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
159 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.824189 - 1.3s
160 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
161 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.789187 - 1.3s
162 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
163 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.768346 - 1.3s
164 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
165 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.768346 - 1.3s
166 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
167 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.909849 - 1.2s
168 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
169 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.826784 - 1.1s
170 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
171 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.829732 - 1.2s
172 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
173 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.917297 - 1.2s
174 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
175 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.823347 - 1.2s
176 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
177 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.845585 - 1.3s
178 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
179 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.816370 - 1.3s
180 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
181 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.932108 - 1.4s
182 +[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
183 +[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.820852 - 1.3s
184 +[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
185 +[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.920280 - 1.2s
186 +[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
187 +[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.900097 - 1.2s
188 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
189 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.931072 - 1.3s
190 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
191 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.923528 - 0.9s
192 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
193 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.807863 - 1.3s
194 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
195 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.834657 - 1.3s
196 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
197 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.820852 - 1.2s
198 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
199 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.786768 - 1.3s
200 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
201 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.908567 - 1.2s
202 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
203 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.914124 - 1.2s
204 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
205 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.935664 - 1.3s
206 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
207 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.741087 - 1.3s
208 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
209 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.940579 - 1.1s
210 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
211 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.736415 - 1.2s
212 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
213 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.927877 - 1.3s
214 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
215 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.845779 - 1.3s
216 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
217 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.818860 - 1.3s
218 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
219 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.548190 - 1.3s
220 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
221 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.575242 - 1.3s
222 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
223 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.864170 - 1.2s
224 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
225 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.932108 - 1.3s
226 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
227 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.935664 - 1.3s
228 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
229 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.956378 - 1.3s
230 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
231 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.706226 - 1.3s
232 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
233 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.823347 - 1.2s
234 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
235 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.837271 - 1.3s
236 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
237 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.887639 - 1.3s
238 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
239 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.748339 - 1.2s
240 +[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
241 +[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.805600 - 1.3s
242 +[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
243 +[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.927031 - 1.1s
244 +[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
245 +[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.839590 - 1.3s
246 +[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
247 +[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.858878 - 1.4s
248 +[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
249 +[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.840483 - 1.3s
250 +[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
251 +[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.892261 - 1.4s
252 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
253 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.878705 - 1.3s
254 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
255 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.932267 - 1.2s
256 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
257 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.853503 - 1.3s
258 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
259 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.786945 - 1.3s
260 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
261 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.807863 - 1.2s
262 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
263 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.830456 - 1.2s
264 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
265 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.829930 - 1.3s
266 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
267 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.741087 - 1.4s
268 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
269 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.872107 - 1.3s
270 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
271 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.815014 - 1.2s
272 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
273 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.845585 - 1.3s
274 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
275 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.926835 - 1.3s
276 +[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
277 +[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.727852 - 1.3s
278 +[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
279 +[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.826784 - 1.2s
280 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
281 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.914124 - 1.1s
282 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
283 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.835278 - 1.4s
284 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
285 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.914124 - 1.2s
286 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
287 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.789346 - 1.3s
288 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
289 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.741087 - 1.3s
290 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
291 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.741087 - 1.2s
292 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
293 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.864170 - 1.3s
294 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
295 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.888631 - 1.2s
296 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
297 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.834890 - 1.3s
298 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
299 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.860459 - 1.3s
300 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
301 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.892261 - 1.1s
302 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
303 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.796207 - 1.4s
304 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
305 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.866858 - 1.3s
306 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
307 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.929292 - 1.3s
308 +[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
309 +[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.864644 - 1.3s
310 +[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
311 +[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.823109 - 1.0s
312 +[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
313 +[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.837805 - 1.3s
314 +[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
315 +[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.894860 - 1.2s
316 +[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
317 +[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.783557 - 1.2s
318 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
319 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.897553 - 1.3s
320 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
321 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.908120 - 1.1s
322 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
323 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.919306 - 1.3s
324 +[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
325 +[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.823347 - 1.1s
326 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
327 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.860662 - 1.3s
328 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
329 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.924267 - 1.2s
330 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
331 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.794216 - 1.3s
332 +[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
333 +[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.806663 - 1.4s
334 +[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
335 +[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.858057 - 1.3s
336 +[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
337 +[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.804464 - 1.4s
338 +[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
339 +[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.940579 - 1.2s
340 +[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
341 +[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.741087 - 1.1s
342 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
343 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.855571 - 1.4s
344 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
345 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.845585 - 1.3s
346 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
347 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.929292 - 1.3s
348 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
349 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.847686 - 1.4s
350 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
351 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.820852 - 1.2s
352 +[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
353 +[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.927031 - 1.3s
354 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
355 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.839590 - 1.3s
356 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
357 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.904818 - 1.3s
358 +[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
359 +[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.845585 - 1.3s
360 +[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
361 +[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.807863 - 1.2s
362 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
363 +[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.741087 - 1.3s
364 +[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
365 +[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.768346 - 1.4s
366 +[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
367 +[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.794216 - 1.4s
368 +[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
369 +[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.728777 - 1.4s
370 +[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
371 +[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.860459 - 1.3s
372 +[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
373 +[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.818942 - 1.3s
374 +[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
375 +[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.840844 - 1.4s
376 +[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
377 +[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.798293 - 1.2s
378 +[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
379 +[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.796207 - 1.3s
380 +[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
381 +[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.855571 - 1.1s
382 +[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
383 +[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.768346 - 1.4s
384 +[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
385 +[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.892817 - 1.3s
386 +[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
387 +[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.857689 - 1.3s
388 +[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
389 +[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.927031 - 1.3s
390 +[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
391 +[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.896765 - 1.1s
392 +[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
393 +[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.914573 - 1.2s
394 +[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
395 +[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.845585 - 1.2s
396 +[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
397 +[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.816050 - 1.4s
398 +[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
399 +[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.768346 - 1.3s
400 +[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
401 +[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.857708 - 1.2s
402 +[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
403 +[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.948580 - 1.4s
404 +[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
405 +[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.935664 - 1.3s
406 +[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
407 +[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.934521 - 1.3s
408 +[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
409 +[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.926835 - 1.3s
410 +[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
411 +[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.830456 - 1.1s
412 +[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
413 +[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.799176 - 1.3s
414 +[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
415 +[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.822181 - 1.3s
416 +[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
417 +[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.856309 - 1.3s
418 +[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
419 +[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.864170 - 1.4s
420 +[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
421 +[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.923528 - 1.1s
422 +Training done in: 8.470806s
423 + Saving training model...
424 + Saving training model done in: 0.013144s
425 +*********************************
426 +Prediction done in: 0.032331s
1 +-------------------------------- PARAMETERS --------------------------------
2 +Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
3 +File with training data set: training-data-set-70.txt
4 +Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
5 +File with test data set: test-data-set-30.txt
6 +Exclude stop words: False
7 +Levels: False True
8 +Report file: _v13
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003601s
15 +-------------------------------- FEATURES --------------------------------
16 +--------------------------Features Training ---------------------------
17 + 0 1
18 +0 lemma 2
19 +1 postag CD
20 +2 -1:lemma fructose
21 +3 -1:postag NN
22 +4 word 2
23 +5 isUpper False
24 +6 isLower False
25 +7 isGreek False
26 +8 isNumber True
27 +9 -1:word fructose
28 +--------------------------- FeaturesTest -----------------------------
29 + 0 1
30 +0 lemma delta-arca
31 +1 postag NN
32 +2 -1:lemma _
33 +3 -1:postag NN
34 +4 +1:lemma _
35 +5 +1:postag CD
36 +6 word delta-arcA
37 +7 isUpper False
38 +8 isLower False
39 +9 isGreek False
40 +10 isNumber False
41 +11 -1:word _
42 +12 +1:word _
43 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
44 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
45 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.930900 - 1.3s
46 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
47 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.928690 - 1.3s
48 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
49 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.930828 - 1.4s
50 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
51 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.683821 - 1.4s
52 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
53 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.719421 - 1.0s
54 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
55 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.867080 - 1.4s
56 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
57 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.756173 - 1.3s
58 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
59 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.773435 - 1.2s
60 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
61 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.795085 - 1.5s
62 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
63 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.684686 - 1.2s
64 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
65 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.684280 - 1.5s
66 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
67 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.856192 - 1.4s
68 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
69 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.859281 - 1.3s
70 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
71 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.870142 - 1.4s
72 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
73 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.849145 - 1.1s
74 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
75 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.954622 - 1.4s
76 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
77 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.780437 - 1.3s
78 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
79 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.876548 - 1.3s
80 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
81 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.846283 - 1.4s
82 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
83 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.848732 - 1.1s
84 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
85 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.853491 - 1.3s
86 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
87 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.788111 - 1.4s
88 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
89 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.926918 - 1.4s
90 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
91 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.757382 - 1.4s
92 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
93 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.927937 - 1.1s
94 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
95 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.935212 - 1.3s
96 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
97 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.772475 - 1.4s
98 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
99 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.693707 - 1.4s
100 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
101 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.785527 - 1.2s
102 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
103 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.760702 - 1.2s
104 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
105 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.920093 - 1.3s
106 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
107 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.859588 - 1.4s
108 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
109 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.855506 - 1.3s
110 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
111 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.828806 - 1.4s
112 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
113 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.890908 - 1.1s
114 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
115 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.794216 - 1.3s
116 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
117 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.572747 - 1.4s
118 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
119 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.789760 - 1.5s
120 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
121 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.740710 - 1.4s
122 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
123 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.814733 - 1.4s
124 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
125 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.879946 - 1.3s
126 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
127 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.794216 - 1.4s
128 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
129 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.795622 - 1.2s
130 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
131 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.926918 - 1.2s
132 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
133 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.915929 - 1.2s
134 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
135 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.636415 - 1.4s
136 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
137 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.926918 - 1.3s
138 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
139 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.773435 - 1.2s
140 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
141 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.700902 - 1.4s
142 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
143 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.865716 - 1.3s
144 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
145 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.854812 - 1.2s
146 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
147 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.785802 - 1.2s
148 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
149 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.643879 - 1.2s
150 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
151 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.904039 - 1.1s
152 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
153 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.824559 - 1.3s
154 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
155 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.835066 - 1.4s
156 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
157 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.835213 - 1.3s
158 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
159 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.928690 - 1.3s
160 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
161 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.896763 - 1.4s
162 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
163 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.678563 - 1.4s
164 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
165 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.852298 - 1.2s
166 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
167 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.785482 - 1.2s
168 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
169 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.859281 - 1.3s
170 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
171 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.799176 - 1.3s
172 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
173 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.792579 - 1.2s
174 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
175 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.926918 - 1.3s
176 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
177 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.890908 - 1.3s
178 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
179 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.674636 - 1.4s
180 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
181 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.560775 - 1.5s
182 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
183 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.826731 - 1.2s
184 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
185 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.840996 - 1.3s
186 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
187 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.915336 - 1.3s
188 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
189 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.800642 - 1.4s
190 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
191 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.722925 - 1.4s
192 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
193 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.694239 - 1.3s
194 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
195 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.794216 - 1.4s
196 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
197 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.903946 - 1.3s
198 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
199 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.900463 - 1.3s
200 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
201 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.674636 - 1.3s
202 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
203 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.763868 - 1.3s
204 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
205 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.755188 - 1.4s
206 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
207 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.688530 - 1.4s
208 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
209 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.643546 - 1.4s
210 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
211 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.863495 - 1.3s
212 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
213 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.909829 - 1.4s
214 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
215 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.927937 - 1.3s
216 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
217 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.831555 - 1.5s
218 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
219 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.789760 - 1.5s
220 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
221 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.864788 - 1.2s
222 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
223 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.833781 - 1.4s
224 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
225 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.841339 - 1.3s
226 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
227 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.532681 - 1.3s
228 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
229 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.567922 - 1.3s
230 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
231 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.773435 - 1.1s
232 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
233 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.789120 - 1.4s
234 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
235 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.830776 - 1.3s
236 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
237 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.694238 - 1.3s
238 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
239 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.870142 - 1.2s
240 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
241 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.681885 - 1.2s
242 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
243 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.865716 - 1.3s
244 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
245 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.926918 - 1.2s
246 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
247 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.876795 - 1.2s
248 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
249 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.825233 - 1.4s
250 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
251 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.855506 - 1.1s
252 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
253 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.851317 - 1.3s
254 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
255 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.935722 - 1.4s
256 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
257 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.922832 - 1.3s
258 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
259 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.935263 - 1.4s
260 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
261 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.939743 - 1.2s
262 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
263 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.594163 - 1.4s
264 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
265 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.923212 - 1.1s
266 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
267 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.676325 - 1.4s
268 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
269 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.719813 - 1.3s
270 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
271 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.668237 - 1.2s
272 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
273 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.859588 - 1.4s
274 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
275 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.859374 - 1.3s
276 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
277 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.927937 - 1.2s
278 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
279 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.747187 - 1.2s
280 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
281 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.859281 - 1.2s
282 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
283 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.930828 - 1.3s
284 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
285 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.928690 - 1.2s
286 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
287 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.846616 - 1.3s
288 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
289 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.876548 - 1.4s
290 +[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
291 +[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.780680 - 1.4s
292 +[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
293 +[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.922818 - 1.4s
294 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
295 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.780680 - 1.4s
296 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
297 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.605839 - 1.3s
298 +[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
299 +[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.780680 - 1.4s
300 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
301 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.786229 - 1.3s
302 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
303 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.743179 - 1.2s
304 +[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
305 +[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.863495 - 1.4s
306 +[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
307 +[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.935722 - 1.4s
308 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
309 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.676325 - 1.4s
310 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
311 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.926918 - 1.2s
312 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
313 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.849478 - 1.3s
314 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
315 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.915929 - 1.4s
316 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
317 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.906810 - 1.3s
318 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
319 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.877904 - 1.3s
320 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
321 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.928690 - 1.1s
322 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
323 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.838249 - 1.3s
324 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
325 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.876548 - 1.4s
326 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
327 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.867517 - 1.2s
328 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
329 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.794216 - 1.4s
330 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
331 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.684751 - 1.0s
332 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
333 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.919847 - 1.4s
334 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
335 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.714206 - 1.4s
336 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
337 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.709493 - 1.4s
338 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
339 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.927937 - 1.3s
340 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
341 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.857498 - 1.1s
342 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
343 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.772475 - 1.3s
344 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
345 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.780680 - 1.3s
346 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
347 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.839499 - 1.3s
348 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
349 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.915933 - 1.2s
350 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
351 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.927937 - 1.0s
352 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
353 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.890908 - 1.3s
354 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
355 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.694239 - 1.4s
356 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
357 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.617476 - 1.4s
358 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
359 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.796283 - 1.3s
360 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
361 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.876548 - 1.3s
362 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
363 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.743179 - 1.2s
364 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
365 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.814733 - 1.4s
366 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
367 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.533174 - 1.4s
368 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
369 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.834805 - 1.3s
370 +[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
371 +[CV] c1=0.7292179112540754, c2=0.004120725812307264, score=0.800642 - 1.2s
372 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
373 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.772475 - 1.4s
374 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
375 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.930828 - 1.3s
376 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
377 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.717659 - 1.4s
378 +[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
379 +[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.690777 - 1.4s
380 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
381 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.808985 - 1.2s
382 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
383 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.890908 - 1.3s
384 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
385 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.773435 - 1.2s
386 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
387 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.666013 - 1.4s
388 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
389 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.853328 - 1.5s
390 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
391 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.862849 - 1.1s
392 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
393 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.594163 - 1.4s
394 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
395 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.863495 - 1.3s
396 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
397 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.856072 - 1.4s
398 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
399 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.863576 - 1.3s
400 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
401 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.941978 - 1.1s
402 +[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
403 +[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.876548 - 1.4s
404 +[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
405 +[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.849711 - 1.3s
406 +[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
407 +[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.853878 - 1.4s
408 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
409 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.683171 - 1.4s
410 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
411 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.803015 - 1.2s
412 +[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
413 +[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.678563 - 1.4s
414 +[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
415 +[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.786229 - 1.4s
416 +[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
417 +[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.946871 - 1.4s
418 +[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
419 +[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.922832 - 1.3s
420 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
421 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.892921 - 1.1s
422 +[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
423 +[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.553702 - 1.1s
424 +[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
425 +[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.839700 - 1.1s
426 +[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
427 +[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.690587 - 1.3s
428 +[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
429 +[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.714206 - 1.4s
430 +[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
431 +[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.648506 - 1.4s
432 +[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
433 +[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.813649 - 1.0s
434 +Training done in: 8.711573s
435 + Saving training model...
436 + Saving training model done in: 0.013376s
437 +*********************************
438 +Prediction done in: 0.034608s
1 +-------------------------------- PARAMETERS --------------------------------
2 +Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
3 +File with training data set: training-data-set-70.txt
4 +Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
5 +File with test data set: test-data-set-30.txt
6 +Exclude stop words: False
7 +Levels: True True
8 +Report file: _v13
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003628s
15 +-------------------------------- FEATURES --------------------------------
16 +--------------------------Features Training ---------------------------
17 + 0 1
18 +0 lemma 2
19 +1 postag CD
20 +2 -1:lemma fructose
21 +3 -1:postag NN
22 +4 hUpper False
23 +5 hLower False
24 +6 hGreek False
25 +7 symb False
26 +8 lemma[:1] 2
27 +9 word 2
28 +10 isUpper False
29 +11 isLower False
30 +12 isGreek False
31 +13 isNumber True
32 +14 -1:word fructose
33 +--------------------------- FeaturesTest -----------------------------
34 + 0 1
35 +0 lemma delta-arca
36 +1 postag NN
37 +2 -1:lemma _
38 +3 -1:postag NN
39 +4 +1:lemma _
40 +5 +1:postag CD
41 +6 hUpper True
42 +7 hLower True
43 +8 hGreek False
44 +9 symb True
45 +10 lemma[:1] d
46 +11 lemma[:2] de
47 +12 word delta-arcA
48 +13 isUpper False
49 +14 isLower False
50 +15 isGreek False
51 +16 isNumber False
52 +17 -1:word _
53 +18 +1:word _
54 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
55 +[CV] c1=0.31977486593330257, c2=0.02388226330543089 ..................
56 +[CV] c1=0.31977486593330257, c2=0.02388226330543089, score=0.946646 - 1.6s
57 +[CV] c1=0.07274256234028868, c2=0.03280670164668215 ..................
58 +[CV] c1=0.07274256234028868, c2=0.03280670164668215, score=0.864170 - 1.6s
59 +[CV] c1=1.129501798705037, c2=0.020140916704590495 ...................
60 +[CV] c1=1.129501798705037, c2=0.020140916704590495, score=0.807845 - 1.7s
61 +[CV] c1=1.119719790930437, c2=0.054437062769718686 ...................
62 +[CV] c1=1.119719790930437, c2=0.054437062769718686, score=0.929494 - 1.6s
63 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
64 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.803340 - 1.4s
65 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
66 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.840339 - 1.6s
67 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
68 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.923027 - 1.5s
69 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
70 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.798710 - 1.6s
71 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
72 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.926918 - 1.5s
73 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
74 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.837807 - 1.2s
75 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
76 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.714781 - 1.6s
77 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
78 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.820752 - 1.5s
79 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
80 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.743438 - 1.5s
81 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
82 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.830582 - 1.6s
83 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
84 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.884496 - 1.4s
85 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
86 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.929494 - 1.5s
87 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
88 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.908120 - 1.5s
89 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
90 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.913219 - 1.5s
91 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
92 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.742060 - 1.6s
93 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
94 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.904631 - 1.4s
95 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
96 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.852640 - 1.5s
97 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
98 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.830314 - 1.5s
99 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
100 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.643754 - 1.6s
101 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
102 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.815575 - 1.6s
103 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
104 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.760326 - 1.4s
105 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
106 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.913219 - 1.5s
107 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
108 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.742060 - 1.7s
109 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
110 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.817039 - 1.7s
111 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
112 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.837271 - 1.6s
113 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
114 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.932576 - 1.6s
115 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
116 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.830873 - 1.4s
117 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
118 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.820852 - 1.6s
119 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
120 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.844732 - 1.6s
121 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
122 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.924267 - 1.5s
123 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
124 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.839590 - 1.5s
125 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
126 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.830314 - 1.5s
127 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
128 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.817039 - 1.5s
129 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
130 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.798710 - 1.6s
131 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
132 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.923027 - 1.3s
133 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
134 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.769157 - 1.6s
135 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
136 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.645578 - 1.4s
137 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
138 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.870314 - 1.5s
139 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
140 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.913219 - 1.5s
141 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
142 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.820752 - 1.5s
143 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
144 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.837807 - 1.3s
145 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
146 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.807845 - 1.6s
147 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
148 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.914885 - 1.7s
149 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
150 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.734123 - 1.5s
151 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
152 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.956017 - 1.6s
153 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
154 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.826784 - 1.3s
155 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
156 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.896825 - 1.5s
157 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
158 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.731320 - 1.4s
159 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
160 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.857484 - 1.7s
161 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
162 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.851303 - 1.6s
163 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
164 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.839590 - 1.3s
165 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
166 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.794652 - 1.7s
167 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
168 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.950725 - 1.7s
169 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
170 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.772475 - 1.6s
171 +[CV] c1=0.1252600216535052, c2=0.03782809818801547 ...................
172 +[CV] c1=0.1252600216535052, c2=0.03782809818801547, score=0.923229 - 1.6s
173 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
174 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.865652 - 1.4s
175 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
176 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.794216 - 1.6s
177 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
178 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.913219 - 1.4s
179 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05 .................
180 +[CV] c1=1.1633545759416617, c2=4.814017520065372e-05, score=0.929494 - 1.6s
181 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
182 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.807863 - 1.6s
183 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
184 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.912280 - 1.5s
185 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
186 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.784595 - 1.5s
187 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
188 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.787673 - 1.6s
189 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
190 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.799746 - 1.5s
191 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
192 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.908120 - 1.4s
193 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
194 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.855428 - 1.6s
195 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
196 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.820852 - 1.6s
197 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
198 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.914210 - 1.6s
199 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
200 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.755608 - 1.7s
201 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
202 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.814665 - 1.3s
203 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
204 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.763659 - 1.5s
205 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
206 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.769157 - 1.6s
207 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
208 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.798710 - 1.6s
209 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
210 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.587894 - 1.6s
211 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
212 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.789624 - 1.6s
213 +[CV] c1=0.31977486593330257, c2=0.02388226330543089 ..................
214 +[CV] c1=0.31977486593330257, c2=0.02388226330543089, score=0.923027 - 1.5s
215 +[CV] c1=0.07274256234028868, c2=0.03280670164668215 ..................
216 +[CV] c1=0.07274256234028868, c2=0.03280670164668215, score=0.823347 - 1.5s
217 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
218 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.884120 - 1.5s
219 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
220 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.946646 - 1.6s
221 +[CV] c1=0.19452520614152963, c2=0.07921367781554413 ..................
222 +[CV] c1=0.19452520614152963, c2=0.07921367781554413, score=0.832065 - 1.1s
223 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
224 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.930758 - 1.6s
225 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
226 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.524048 - 1.6s
227 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
228 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.848615 - 1.6s
229 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
230 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.922774 - 1.5s
231 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
232 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.830456 - 1.4s
233 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
234 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.839590 - 1.6s
235 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
236 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.876468 - 1.5s
237 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
238 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.799746 - 1.7s
239 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
240 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.843908 - 1.5s
241 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
242 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.922774 - 1.3s
243 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
244 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.818335 - 1.7s
245 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
246 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.805797 - 1.6s
247 +[CV] c1=1.129501798705037, c2=0.020140916704590495 ...................
248 +[CV] c1=1.129501798705037, c2=0.020140916704590495, score=0.714781 - 1.6s
249 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
250 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.929292 - 1.5s
251 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
252 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.920107 - 1.3s
253 +[CV] c1=0.31977486593330257, c2=0.02388226330543089 ..................
254 +[CV] c1=0.31977486593330257, c2=0.02388226330543089, score=0.848615 - 1.7s
255 +[CV] c1=0.07274256234028868, c2=0.03280670164668215 ..................
256 +[CV] c1=0.07274256234028868, c2=0.03280670164668215, score=0.851303 - 1.5s
257 +[CV] c1=1.129501798705037, c2=0.020140916704590495 ...................
258 +[CV] c1=1.129501798705037, c2=0.020140916704590495, score=0.867361 - 1.6s
259 +[CV] c1=1.119719790930437, c2=0.054437062769718686 ...................
260 +[CV] c1=1.119719790930437, c2=0.054437062769718686, score=0.844732 - 1.3s
261 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
262 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.833705 - 1.3s
263 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
264 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.923229 - 1.4s
265 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
266 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.814642 - 1.7s
267 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
268 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.663126 - 1.5s
269 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
270 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.712432 - 1.6s
271 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
272 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.731210 - 1.6s
273 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
274 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.923229 - 1.6s
275 +[CV] c1=0.07274256234028868, c2=0.03280670164668215 ..................
276 +[CV] c1=0.07274256234028868, c2=0.03280670164668215, score=0.857414 - 1.6s
277 +[CV] c1=1.129501798705037, c2=0.020140916704590495 ...................
278 +[CV] c1=1.129501798705037, c2=0.020140916704590495, score=0.719025 - 1.4s
279 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
280 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.880765 - 1.5s
281 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
282 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.904043 - 1.3s
283 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
284 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.845585 - 1.3s
285 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
286 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.867361 - 1.7s
287 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
288 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.723924 - 1.8s
289 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
290 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.848984 - 1.8s
291 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
292 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.855571 - 1.4s
293 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
294 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.926918 - 1.5s
295 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
296 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.950725 - 1.6s
297 +[CV] c1=1.0317333456990663, c2=0.008270998659918627 ..................
298 +[CV] c1=1.0317333456990663, c2=0.008270998659918627, score=0.816050 - 1.6s
299 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
300 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.772475 - 1.8s
301 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
302 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.734741 - 1.5s
303 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
304 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.851303 - 1.6s
305 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
306 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.761785 - 1.6s
307 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
308 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.820852 - 1.7s
309 +[CV] c1=1.119719790930437, c2=0.054437062769718686 ...................
310 +[CV] c1=1.119719790930437, c2=0.054437062769718686, score=0.913219 - 1.4s
311 +[CV] c1=0.19452520614152963, c2=0.07921367781554413 ..................
312 +[CV] c1=0.19452520614152963, c2=0.07921367781554413, score=0.829435 - 1.2s
313 +[CV] c1=0.31977486593330257, c2=0.02388226330543089 ..................
314 +[CV] c1=0.31977486593330257, c2=0.02388226330543089, score=0.820752 - 1.5s
315 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
316 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.797878 - 1.5s
317 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
318 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.799176 - 1.6s
319 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
320 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.735326 - 1.6s
321 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
322 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.802530 - 1.5s
323 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
324 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.926918 - 1.5s
325 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
326 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.706226 - 1.6s
327 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
328 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.769157 - 1.6s
329 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
330 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.799176 - 1.6s
331 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
332 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.789624 - 1.5s
333 +[CV] c1=0.31977486593330257, c2=0.02388226330543089 ..................
334 +[CV] c1=0.31977486593330257, c2=0.02388226330543089, score=0.794216 - 1.6s
335 +[CV] c1=0.07274256234028868, c2=0.03280670164668215 ..................
336 +[CV] c1=0.07274256234028868, c2=0.03280670164668215, score=0.926918 - 1.5s
337 +[CV] c1=1.129501798705037, c2=0.020140916704590495 ...................
338 +[CV] c1=1.129501798705037, c2=0.020140916704590495, score=0.637277 - 1.6s
339 +[CV] c1=1.119719790930437, c2=0.054437062769718686 ...................
340 +[CV] c1=1.119719790930437, c2=0.054437062769718686, score=0.656649 - 1.6s
341 +[CV] c1=0.19452520614152963, c2=0.07921367781554413 ..................
342 +[CV] c1=0.19452520614152963, c2=0.07921367781554413, score=0.794216 - 1.3s
343 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653 ................
344 +[CV] c1=6.554750484992917e-05, c2=0.05088901762281653, score=0.867442 - 1.7s
345 +[CV] c1=0.2482723614159239, c2=0.0959138388411172 ....................
346 +[CV] c1=0.2482723614159239, c2=0.0959138388411172, score=0.921016 - 1.7s
347 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
348 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.950725 - 1.7s
349 +[CV] c1=1.119719790930437, c2=0.054437062769718686 ...................
350 +[CV] c1=1.119719790930437, c2=0.054437062769718686, score=0.734123 - 1.5s
351 +[CV] c1=0.19452520614152963, c2=0.07921367781554413 ..................
352 +[CV] c1=0.19452520614152963, c2=0.07921367781554413, score=0.742060 - 1.3s
353 +[CV] c1=0.10224977118326696, c2=0.08574073868552615 ..................
354 +[CV] c1=0.10224977118326696, c2=0.08574073868552615, score=0.922774 - 1.3s
355 +[CV] c1=1.1334212532044017, c2=0.007010862010272158 ..................
356 +[CV] c1=1.1334212532044017, c2=0.007010862010272158, score=0.643754 - 1.7s
357 +[CV] c1=0.24448285707107864, c2=0.07828996063095572 ..................
358 +[CV] c1=0.24448285707107864, c2=0.07828996063095572, score=0.806504 - 2.0s
359 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
360 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.817039 - 1.6s
361 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
362 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.860742 - 1.6s
363 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
364 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.820676 - 1.7s
365 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
366 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.852396 - 1.5s
367 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
368 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.923027 - 1.4s
369 +[CV] c1=1.3271060079387977, c2=0.016327328938926227 ..................
370 +[CV] c1=1.3271060079387977, c2=0.016327328938926227, score=0.924280 - 1.6s
371 +[CV] c1=0.28189060423376666, c2=0.03192405059605604 ..................
372 +[CV] c1=0.28189060423376666, c2=0.03192405059605604, score=0.923528 - 1.4s
373 +[CV] c1=0.31977486593330257, c2=0.02388226330543089 ..................
374 +[CV] c1=0.31977486593330257, c2=0.02388226330543089, score=0.807863 - 1.6s
375 +[CV] c1=0.07274256234028868, c2=0.03280670164668215 ..................
376 +[CV] c1=0.07274256234028868, c2=0.03280670164668215, score=0.742060 - 1.6s
377 +[CV] c1=1.129501798705037, c2=0.020140916704590495 ...................
378 +[CV] c1=1.129501798705037, c2=0.020140916704590495, score=0.798710 - 1.5s
379 +[CV] c1=1.119719790930437, c2=0.054437062769718686 ...................
380 +[CV] c1=1.119719790930437, c2=0.054437062769718686, score=0.798710 - 1.6s
381 +[CV] c1=0.19452520614152963, c2=0.07921367781554413 ..................
382 +[CV] c1=0.19452520614152963, c2=0.07921367781554413, score=0.923027 - 1.3s
383 +[CV] c1=0.31977486593330257, c2=0.02388226330543089 ..................
384 +[CV] c1=0.31977486593330257, c2=0.02388226330543089, score=0.734741 - 1.7s
385 +[CV] c1=0.07274256234028868, c2=0.03280670164668215 ..................
386 +[CV] c1=0.07274256234028868, c2=0.03280670164668215, score=0.924267 - 1.5s
387 +[CV] c1=1.129501798705037, c2=0.020140916704590495 ...................
388 +[CV] c1=1.129501798705037, c2=0.020140916704590495, score=0.817039 - 1.6s
389 +[CV] c1=1.119719790930437, c2=0.054437062769718686 ...................
390 +[CV] c1=1.119719790930437, c2=0.054437062769718686, score=0.890895 - 1.6s
391 +[CV] c1=0.19452520614152963, c2=0.07921367781554413 ..................
392 +[CV] c1=0.19452520614152963, c2=0.07921367781554413, score=0.842269 - 1.2s
393 +[CV] c1=0.07240461944941606, c2=0.016662416283521466 .................
394 +[CV] c1=0.07240461944941606, c2=0.016662416283521466, score=0.936198 - 1.7s
395 +[CV] c1=1.9180357321696457, c2=0.042428547481606495 ..................
396 +[CV] c1=1.9180357321696457, c2=0.042428547481606495, score=0.886457 - 1.5s
397 +[CV] c1=0.35893080441515235, c2=0.06547892139571729 ..................
398 +[CV] c1=0.35893080441515235, c2=0.06547892139571729, score=0.929292 - 1.6s
399 +[CV] c1=0.5319496072976292, c2=0.07723824010154955 ...................
400 +[CV] c1=0.5319496072976292, c2=0.07723824010154955, score=0.816050 - 1.6s
401 +[CV] c1=0.26433572200108835, c2=0.022956147621051873 .................
402 +[CV] c1=0.26433572200108835, c2=0.022956147621051873, score=0.914885 - 1.4s
403 +[CV] c1=0.31977486593330257, c2=0.02388226330543089 ..................
404 +[CV] c1=0.31977486593330257, c2=0.02388226330543089, score=0.920107 - 1.5s
405 +[CV] c1=0.07274256234028868, c2=0.03280670164668215 ..................
406 +[CV] c1=0.07274256234028868, c2=0.03280670164668215, score=0.815575 - 1.7s
407 +[CV] c1=1.129501798705037, c2=0.020140916704590495 ...................
408 +[CV] c1=1.129501798705037, c2=0.020140916704590495, score=0.866417 - 1.5s
409 +[CV] c1=1.119719790930437, c2=0.054437062769718686 ...................
410 +[CV] c1=1.119719790930437, c2=0.054437062769718686, score=0.817039 - 1.6s
411 +[CV] c1=0.19452520614152963, c2=0.07921367781554413 ..................
412 +[CV] c1=0.19452520614152963, c2=0.07921367781554413, score=0.837271 - 1.2s
413 +Training done in: 10.069118s
414 + Saving training model...
415 + Saving training model done in: 0.014113s
416 +*********************************
417 +Prediction done in: 0.045015s
1 +-------------------------------- PARAMETERS --------------------------------
2 +Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
3 +File with training data set: training-data-set-70.txt
4 +Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
5 +File with test data set: test-data-set-30.txt
6 +Exclude stop words: False
7 +Levels: False False
8 +Report file: _v13
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003560s
15 +-------------------------------- FEATURES --------------------------------
16 +--------------------------Features Training ---------------------------
17 + 0 1
18 +0 lemma 2
19 +1 postag CD
20 +2 -1:lemma fructose
21 +3 -1:postag NN
22 +4 -2:lemma Cra
23 +5 -2:postag NNP
24 +--------------------------- FeaturesTest -----------------------------
25 + 0 1
26 +0 lemma delta-arca
27 +1 postag NN
28 +2 -1:lemma _
29 +3 -1:postag NN
30 +4 +1:lemma _
31 +5 +1:postag CD
32 +6 -2:lemma affyexp
33 +7 -2:postag JJ
34 +8 +2:lemma glucose
35 +9 +2:postag NN
36 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
37 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
38 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.904317 - 1.1s
39 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
40 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.866353 - 1.2s
41 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
42 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.782679 - 1.2s
43 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
44 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.844592 - 1.2s
45 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
46 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.665848 - 1.2s
47 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
48 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.935724 - 1.0s
49 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
50 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.866353 - 1.1s
51 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
52 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.777310 - 1.2s
53 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
54 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.722395 - 1.2s
55 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
56 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.566809 - 1.2s
57 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
58 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.889632 - 1.1s
59 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
60 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.893442 - 1.2s
61 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
62 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.876191 - 1.2s
63 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
64 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.796785 - 1.2s
65 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
66 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.808421 - 1.2s
67 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
68 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.884047 - 0.9s
69 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
70 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.907978 - 1.3s
71 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
72 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.697995 - 1.3s
73 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
74 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.884047 - 1.1s
75 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
76 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.681687 - 1.3s
77 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
78 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.702102 - 1.2s
79 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
80 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.892074 - 1.1s
81 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
82 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.881520 - 1.2s
83 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
84 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.874448 - 1.1s
85 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
86 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.911799 - 1.1s
87 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
88 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.935724 - 1.3s
89 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
90 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.878257 - 1.2s
91 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
92 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.799307 - 1.2s
93 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
94 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.934983 - 1.1s
95 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
96 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.823276 - 1.1s
97 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
98 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.854811 - 1.0s
99 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
100 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.842052 - 1.2s
101 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
102 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.791206 - 1.2s
103 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
104 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.836305 - 1.1s
105 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
106 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.652057 - 1.2s
107 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
108 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.934983 - 1.0s
109 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
110 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.722395 - 1.3s
111 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
112 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.620509 - 1.3s
113 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
114 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.934983 - 1.1s
115 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
116 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.661453 - 1.3s
117 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
118 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.864680 - 1.1s
119 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
120 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.797327 - 1.3s
121 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
122 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.803280 - 1.2s
123 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
124 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.864680 - 1.2s
125 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
126 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.676857 - 1.2s
127 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
128 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.924118 - 1.1s
129 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
130 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.938750 - 1.3s
131 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
132 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.925944 - 1.2s
133 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
134 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.901233 - 1.2s
135 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
136 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.839358 - 1.2s
137 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
138 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.722395 - 1.1s
139 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
140 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.954937 - 1.3s
141 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
142 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.806520 - 1.3s
143 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
144 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.854811 - 1.1s
145 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
146 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.742882 - 1.3s
147 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
148 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.934983 - 1.2s
149 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
150 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.859890 - 1.2s
151 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
152 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.612120 - 1.2s
153 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
154 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.884047 - 1.0s
155 +[CV] c1=2.282844107076996, c2=0.02119864096637369 ....................
156 +[CV] c1=2.282844107076996, c2=0.02119864096637369, score=0.777084 - 1.2s
157 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
158 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.922360 - 1.1s
159 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
160 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.707667 - 1.2s
161 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
162 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.722857 - 1.1s
163 +[CV] c1=0.06582026288344721, c2=0.05682820602315697 ..................
164 +[CV] c1=0.06582026288344721, c2=0.05682820602315697, score=0.935724 - 1.2s
165 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
166 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.759131 - 1.3s
167 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
168 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.842052 - 1.0s
169 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
170 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.797327 - 1.3s
171 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
172 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.844358 - 1.2s
173 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
174 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.843508 - 1.2s
175 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
176 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.839973 - 1.1s
177 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
178 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.884047 - 1.1s
179 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
180 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.902661 - 1.3s
181 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
182 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.876191 - 1.2s
183 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
184 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.722395 - 1.2s
185 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
186 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.854874 - 1.2s
187 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
188 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.796785 - 1.1s
189 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
190 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.869105 - 1.3s
191 +[CV] c1=1.1460943161482862, c2=0.026153895974214678 ..................
192 +[CV] c1=1.1460943161482862, c2=0.026153895974214678, score=0.867125 - 1.4s
193 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
194 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.901578 - 1.2s
195 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
196 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.626801 - 1.3s
197 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
198 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.806478 - 1.2s
199 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
200 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.934983 - 1.1s
201 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
202 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.814901 - 1.1s
203 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
204 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.859890 - 1.2s
205 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
206 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.787478 - 1.2s
207 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
208 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.864680 - 1.2s
209 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
210 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.845755 - 1.3s
211 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
212 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.911204 - 1.1s
213 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
214 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.697995 - 1.2s
215 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
216 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.884047 - 1.1s
217 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
218 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.737329 - 1.3s
219 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
220 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.916469 - 1.3s
221 +[CV] c1=0.008182384829545907, c2=0.06802178300715349 .................
222 +[CV] c1=0.008182384829545907, c2=0.06802178300715349, score=0.722395 - 1.2s
223 +[CV] c1=0.026900741799377164, c2=0.022970822090078655 ................
224 +[CV] c1=0.026900741799377164, c2=0.022970822090078655, score=0.954937 - 1.0s
225 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
226 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.907124 - 1.0s
227 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
228 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.839355 - 1.2s
229 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
230 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.925933 - 1.3s
231 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
232 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.717653 - 1.3s
233 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
234 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.777416 - 1.1s
235 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
236 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.891392 - 1.2s
237 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
238 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.706867 - 1.1s
239 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
240 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.824358 - 1.2s
241 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
242 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.713003 - 1.3s
243 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
244 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.620509 - 1.2s
245 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
246 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.864680 - 1.1s
247 +[CV] c1=0.0977605809688258, c2=0.02758489827313711 ...................
248 +[CV] c1=0.0977605809688258, c2=0.02758489827313711, score=0.842052 - 1.1s
249 +[CV] c1=0.14456252410554848, c2=0.011570925278244349 .................
250 +[CV] c1=0.14456252410554848, c2=0.011570925278244349, score=0.927980 - 1.3s
251 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
252 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.752310 - 1.3s
253 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
254 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.946778 - 1.2s
255 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
256 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.804379 - 1.2s
257 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
258 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.717653 - 1.2s
259 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
260 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.843508 - 1.3s
261 +[CV] c1=0.008182384829545907, c2=0.06802178300715349 .................
262 +[CV] c1=0.008182384829545907, c2=0.06802178300715349, score=0.884047 - 1.1s
263 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
264 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.796008 - 1.2s
265 +[CV] c1=1.28661684935985, c2=0.0006449825527911529 ...................
266 +[CV] c1=1.28661684935985, c2=0.0006449825527911529, score=0.777416 - 0.9s
267 +[CV] c1=0.16188575490577647, c2=0.010872239640626618 .................
268 +[CV] c1=0.16188575490577647, c2=0.010872239640626618, score=0.954937 - 1.2s
269 +[CV] c1=1.0207079957485827, c2=0.004519504876816081 ..................
270 +[CV] c1=1.0207079957485827, c2=0.004519504876816081, score=0.788527 - 1.1s
271 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
272 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.817065 - 1.1s
273 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
274 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.876191 - 1.1s
275 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
276 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.722395 - 1.1s
277 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
278 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.799307 - 1.2s
279 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
280 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.859890 - 1.2s
281 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
282 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.878774 - 1.2s
283 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
284 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.796238 - 1.2s
285 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
286 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.954937 - 1.1s
287 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
288 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.612120 - 1.2s
289 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
290 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.722395 - 1.2s
291 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
292 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.626801 - 1.2s
293 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
294 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.777310 - 1.3s
295 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
296 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.889632 - 1.0s
297 +[CV] c1=0.16188575490577647, c2=0.010872239640626618 .................
298 +[CV] c1=0.16188575490577647, c2=0.010872239640626618, score=0.866353 - 1.2s
299 +[CV] c1=1.0207079957485827, c2=0.004519504876816081 ..................
300 +[CV] c1=1.0207079957485827, c2=0.004519504876816081, score=0.701275 - 1.2s
301 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
302 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.801130 - 1.2s
303 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
304 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.915357 - 1.2s
305 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
306 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.931814 - 1.0s
307 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
308 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.722395 - 1.1s
309 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
310 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.945584 - 1.2s
311 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
312 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.694375 - 1.3s
313 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
314 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.796785 - 1.3s
315 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
316 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.913214 - 1.2s
317 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
318 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.884038 - 1.2s
319 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
320 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.874448 - 1.1s
321 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
322 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.783151 - 1.3s
323 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
324 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.806478 - 1.1s
325 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
326 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.796785 - 1.2s
327 +[CV] c1=0.16188575490577647, c2=0.010872239640626618 .................
328 +[CV] c1=0.16188575490577647, c2=0.010872239640626618, score=0.900231 - 1.3s
329 +[CV] c1=1.0207079957485827, c2=0.004519504876816081 ..................
330 +[CV] c1=1.0207079957485827, c2=0.004519504876816081, score=0.803280 - 1.1s
331 +[CV] c1=0.008182384829545907, c2=0.06802178300715349 .................
332 +[CV] c1=0.008182384829545907, c2=0.06802178300715349, score=0.934983 - 1.1s
333 +[CV] c1=0.026900741799377164, c2=0.022970822090078655 ................
334 +[CV] c1=0.026900741799377164, c2=0.022970822090078655, score=0.884047 - 1.1s
335 +[CV] c1=0.09869732897335494, c2=0.023452935233575632 .................
336 +[CV] c1=0.09869732897335494, c2=0.023452935233575632, score=0.842052 - 1.1s
337 +[CV] c1=0.16188575490577647, c2=0.010872239640626618 .................
338 +[CV] c1=0.16188575490577647, c2=0.010872239640626618, score=0.805308 - 1.3s
339 +[CV] c1=1.0207079957485827, c2=0.004519504876816081 ..................
340 +[CV] c1=1.0207079957485827, c2=0.004519504876816081, score=0.858736 - 1.1s
341 +[CV] c1=0.008182384829545907, c2=0.06802178300715349 .................
342 +[CV] c1=0.008182384829545907, c2=0.06802178300715349, score=0.796785 - 1.2s
343 +[CV] c1=0.026900741799377164, c2=0.022970822090078655 ................
344 +[CV] c1=0.026900741799377164, c2=0.022970822090078655, score=0.844494 - 1.2s
345 +[CV] c1=1.28661684935985, c2=0.0006449825527911529 ...................
346 +[CV] c1=1.28661684935985, c2=0.0006449825527911529, score=0.866806 - 1.0s
347 +[CV] c1=0.16188575490577647, c2=0.010872239640626618 .................
348 +[CV] c1=0.16188575490577647, c2=0.010872239640626618, score=0.909061 - 1.3s
349 +[CV] c1=1.0207079957485827, c2=0.004519504876816081 ..................
350 +[CV] c1=1.0207079957485827, c2=0.004519504876816081, score=0.620509 - 1.2s
351 +[CV] c1=0.008182384829545907, c2=0.06802178300715349 .................
352 +[CV] c1=0.008182384829545907, c2=0.06802178300715349, score=0.864680 - 1.2s
353 +[CV] c1=0.026900741799377164, c2=0.022970822090078655 ................
354 +[CV] c1=0.026900741799377164, c2=0.022970822090078655, score=0.925790 - 1.2s
355 +[CV] c1=1.28661684935985, c2=0.0006449825527911529 ...................
356 +[CV] c1=1.28661684935985, c2=0.0006449825527911529, score=0.803280 - 0.9s
357 +[CV] c1=0.16188575490577647, c2=0.010872239640626618 .................
358 +[CV] c1=0.16188575490577647, c2=0.010872239640626618, score=0.722395 - 1.3s
359 +[CV] c1=1.0207079957485827, c2=0.004519504876816081 ..................
360 +[CV] c1=1.0207079957485827, c2=0.004519504876816081, score=0.881724 - 1.1s
361 +[CV] c1=0.008182384829545907, c2=0.06802178300715349 .................
362 +[CV] c1=0.008182384829545907, c2=0.06802178300715349, score=0.841204 - 1.2s
363 +[CV] c1=0.026900741799377164, c2=0.022970822090078655 ................
364 +[CV] c1=0.026900741799377164, c2=0.022970822090078655, score=0.850992 - 1.2s
365 +[CV] c1=1.28661684935985, c2=0.0006449825527911529 ...................
366 +[CV] c1=1.28661684935985, c2=0.0006449825527911529, score=0.777310 - 1.0s
367 +[CV] c1=0.16188575490577647, c2=0.010872239640626618 .................
368 +[CV] c1=0.16188575490577647, c2=0.010872239640626618, score=0.893442 - 1.1s
369 +[CV] c1=1.0207079957485827, c2=0.004519504876816081 ..................
370 +[CV] c1=1.0207079957485827, c2=0.004519504876816081, score=0.783151 - 1.2s
371 +[CV] c1=0.008182384829545907, c2=0.06802178300715349 .................
372 +[CV] c1=0.008182384829545907, c2=0.06802178300715349, score=0.900894 - 1.2s
373 +[CV] c1=0.026900741799377164, c2=0.022970822090078655 ................
374 +[CV] c1=0.026900741799377164, c2=0.022970822090078655, score=0.889632 - 1.1s
375 +[CV] c1=1.28661684935985, c2=0.0006449825527911529 ...................
376 +[CV] c1=1.28661684935985, c2=0.0006449825527911529, score=0.612120 - 1.1s
377 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
378 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.876191 - 1.2s
379 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
380 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.796785 - 1.3s
381 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
382 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.863374 - 1.2s
383 +[CV] c1=1.1335935695692325, c2=0.045601607829839186 ..................
384 +[CV] c1=1.1335935695692325, c2=0.045601607829839186, score=0.855013 - 1.3s
385 +[CV] c1=1.28661684935985, c2=0.0006449825527911529 ...................
386 +[CV] c1=1.28661684935985, c2=0.0006449825527911529, score=0.697995 - 1.1s
387 +[CV] c1=0.05355864292308304, c2=0.0537875036655877 ...................
388 +[CV] c1=0.05355864292308304, c2=0.0537875036655877, score=0.796785 - 1.2s
389 +[CV] c1=0.25945079081541905, c2=0.010397595986328969 .................
390 +[CV] c1=0.25945079081541905, c2=0.010397595986328969, score=0.927980 - 1.2s
391 +[CV] c1=1.3026087883632722, c2=0.0508985293942068 ....................
392 +[CV] c1=1.3026087883632722, c2=0.0508985293942068, score=0.816360 - 1.2s
393 +[CV] c1=0.12284069651421997, c2=0.07728931563717421 ..................
394 +[CV] c1=0.12284069651421997, c2=0.07728931563717421, score=0.903868 - 1.3s
395 +[CV] c1=0.6718735077115858, c2=0.005745367898834753 ..................
396 +[CV] c1=0.6718735077115858, c2=0.005745367898834753, score=0.943246 - 1.1s
397 +[CV] c1=0.16188575490577647, c2=0.010872239640626618 .................
398 +[CV] c1=0.16188575490577647, c2=0.010872239640626618, score=0.927980 - 1.2s
399 +[CV] c1=1.0207079957485827, c2=0.004519504876816081 ..................
400 +[CV] c1=1.0207079957485827, c2=0.004519504876816081, score=0.801130 - 1.2s
401 +[CV] c1=0.008182384829545907, c2=0.06802178300715349 .................
402 +[CV] c1=0.008182384829545907, c2=0.06802178300715349, score=0.854811 - 1.1s
403 +[CV] c1=0.026900741799377164, c2=0.022970822090078655 ................
404 +[CV] c1=0.026900741799377164, c2=0.022970822090078655, score=0.796785 - 1.2s
405 +[CV] c1=1.28661684935985, c2=0.0006449825527911529 ...................
406 +[CV] c1=1.28661684935985, c2=0.0006449825527911529, score=0.867125 - 1.0s
407 +[CV] c1=1.3592042869129366, c2=0.07476636430730615 ...................
408 +[CV] c1=1.3592042869129366, c2=0.07476636430730615, score=0.844358 - 1.3s
409 +[CV] c1=0.09124769571379378, c2=0.04714194115622477 ..................
410 +[CV] c1=0.09124769571379378, c2=0.04714194115622477, score=0.935724 - 1.2s
411 +[CV] c1=0.8596830833517516, c2=0.025827069173659647 ..................
412 +[CV] c1=0.8596830833517516, c2=0.025827069173659647, score=0.934870 - 1.2s
413 +[CV] c1=0.026900741799377164, c2=0.022970822090078655 ................
414 +[CV] c1=0.026900741799377164, c2=0.022970822090078655, score=0.722395 - 1.2s
415 +[CV] c1=1.28661684935985, c2=0.0006449825527911529 ...................
416 +[CV] c1=1.28661684935985, c2=0.0006449825527911529, score=0.806520 - 1.1s
417 +Training done in: 7.767506s
418 + Saving training model...
419 + Saving training model done in: 0.012868s
420 +*********************************
421 +Prediction done in: 0.030345s
1 +-------------------------------- PARAMETERS --------------------------------
2 +Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
3 +File with training data set: training-data-set-70.txt
4 +Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
5 +File with test data set: test-data-set-30.txt
6 +Exclude stop words: False
7 +Levels: True False
8 +Report file: _v13
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003627s
15 +-------------------------------- FEATURES --------------------------------
16 +--------------------------Features Training ---------------------------
17 + 0 1
18 +0 lemma 2
19 +1 postag CD
20 +2 -1:lemma fructose
21 +3 -1:postag NN
22 +4 hUpper False
23 +5 hLower False
24 +6 hGreek False
25 +7 symb False
26 +8 lemma[:1] 2
27 +9 -2:lemma Cra
28 +10 -2:postag NNP
29 +--------------------------- FeaturesTest -----------------------------
30 + 0 1
31 +0 lemma delta-arca
32 +1 postag NN
33 +2 -1:lemma _
34 +3 -1:postag NN
35 +4 +1:lemma _
36 +5 +1:postag CD
37 +6 hUpper True
38 +7 hLower True
39 +8 hGreek False
40 +9 symb True
41 +10 lemma[:1] d
42 +11 lemma[:2] de
43 +12 -2:lemma affyexp
44 +13 -2:postag JJ
45 +14 +2:lemma glucose
46 +15 +2:postag NN
47 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
48 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
49 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.890024 - 1.2s
50 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
51 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.880403 - 1.3s
52 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
53 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.690341 - 1.5s
54 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
55 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.890024 - 1.4s
56 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
57 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.869691 - 1.4s
58 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
59 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.744355 - 1.2s
60 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
61 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.786360 - 1.4s
62 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
63 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.846486 - 1.5s
64 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
65 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.826344 - 1.4s
66 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
67 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.843948 - 1.5s
68 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
69 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.804014 - 1.0s
70 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
71 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.804464 - 1.5s
72 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
73 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.874372 - 1.4s
74 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
75 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.852277 - 1.4s
76 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
77 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.815278 - 1.5s
78 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
79 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.819477 - 1.2s
80 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
81 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.898446 - 1.3s
82 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
83 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.813790 - 1.5s
84 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
85 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.804464 - 1.5s
86 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
87 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.867416 - 1.4s
88 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
89 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.635785 - 1.2s
90 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
91 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.603359 - 1.5s
92 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
93 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.908587 - 1.4s
94 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
95 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.635785 - 1.6s
96 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
97 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.926731 - 1.4s
98 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
99 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.934128 - 1.1s
100 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
101 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.879259 - 1.5s
102 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
103 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.893806 - 1.4s
104 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
105 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.899473 - 1.6s
106 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
107 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.856700 - 1.3s
108 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
109 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.826344 - 1.1s
110 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
111 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.723972 - 1.5s
112 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
113 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.858021 - 1.4s
114 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
115 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.752973 - 1.6s
116 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
117 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.679842 - 1.6s
118 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
119 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.890024 - 1.4s
120 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
121 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.694229 - 1.5s
122 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
123 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.910493 - 1.3s
124 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
125 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.855584 - 1.5s
126 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
127 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.694229 - 1.4s
128 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
129 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.804464 - 1.3s
130 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
131 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.767841 - 1.5s
132 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
133 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.921722 - 1.5s
134 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
135 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.685251 - 1.5s
136 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
137 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.899776 - 1.4s
138 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
139 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.932900 - 1.3s
140 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
141 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.832818 - 1.5s
142 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
143 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.841420 - 1.3s
144 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
145 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.819477 - 1.4s
146 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
147 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.858878 - 1.6s
148 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
149 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.854189 - 1.4s
150 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
151 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.862461 - 1.4s
152 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
153 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.876867 - 1.4s
154 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
155 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.867297 - 1.4s
156 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
157 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.804464 - 1.5s
158 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
159 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.868123 - 1.3s
160 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
161 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.920290 - 1.5s
162 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
163 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.848986 - 1.5s
164 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
165 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.810774 - 1.6s
166 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
167 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.872936 - 1.3s
168 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
169 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.619521 - 1.5s
170 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
171 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.897095 - 1.2s
172 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
173 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.769842 - 1.5s
174 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
175 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.926731 - 1.3s
176 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
177 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.802648 - 1.4s
178 +[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
179 +[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.810774 - 1.2s
180 +[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
181 +[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.793199 - 1.4s
182 +[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
183 +[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.956017 - 1.6s
184 +[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
185 +[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.937766 - 1.5s
186 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
187 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.941948 - 1.4s
188 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
189 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.909675 - 1.4s
190 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
191 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.839218 - 1.5s
192 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
193 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.739063 - 1.3s
194 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
195 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.871884 - 1.4s
196 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
197 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.946646 - 1.4s
198 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
199 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.868596 - 1.5s
200 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
201 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.950725 - 1.5s
202 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
203 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.854858 - 1.5s
204 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
205 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.835814 - 1.6s
206 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
207 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.881118 - 1.1s
208 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
209 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.804464 - 1.4s
210 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
211 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.877252 - 1.3s
212 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
213 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.833135 - 1.5s
214 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
215 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.877252 - 1.4s
216 +[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
217 +[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.843508 - 1.4s
218 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
219 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.927009 - 1.5s
220 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
221 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.925560 - 1.4s
222 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
223 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.886827 - 1.4s
224 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
225 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.873517 - 1.5s
226 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
227 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.909115 - 1.3s
228 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
229 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.734639 - 1.5s
230 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
231 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.926731 - 1.3s
232 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
233 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.825018 - 1.5s
234 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
235 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.823313 - 1.5s
236 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
237 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.868123 - 1.5s
238 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
239 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.806460 - 1.3s
240 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
241 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.828274 - 1.5s
242 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
243 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.882504 - 1.5s
244 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
245 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.843508 - 1.5s
246 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
247 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.835814 - 1.3s
248 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
249 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.819477 - 1.5s
250 +[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
251 +[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.839383 - 1.5s
252 +[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
253 +[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.935899 - 1.4s
254 +[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
255 +[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.941948 - 1.4s
256 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
257 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.824101 - 1.4s
258 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
259 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.785460 - 1.5s
260 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
261 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.926731 - 1.3s
262 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
263 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.710008 - 1.5s
264 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
265 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.873366 - 1.3s
266 +[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
267 +[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.914143 - 1.4s
268 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
269 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.898170 - 1.5s
270 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
271 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.839383 - 1.5s
272 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
273 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.798268 - 1.3s
274 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
275 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.823313 - 1.5s
276 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
277 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.867416 - 1.3s
278 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
279 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.862461 - 1.4s
280 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
281 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.694229 - 1.7s
282 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
283 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.749548 - 1.4s
284 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
285 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.931609 - 1.6s
286 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
287 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.866956 - 1.0s
288 +[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
289 +[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.850736 - 1.3s
290 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
291 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.928660 - 1.6s
292 +[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
293 +[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.804464 - 1.5s
294 +[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
295 +[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.873246 - 1.4s
296 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
297 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.919144 - 1.1s
298 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
299 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.694229 - 1.5s
300 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
301 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.867416 - 1.5s
302 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
303 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.882373 - 1.4s
304 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
305 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.679842 - 1.6s
306 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
307 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.843508 - 1.2s
308 +[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
309 +[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.926892 - 1.5s
310 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
311 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.884477 - 1.5s
312 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
313 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.573561 - 1.5s
314 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
315 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.926731 - 1.4s
316 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
317 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.820238 - 1.4s
318 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
319 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.839383 - 1.4s
320 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
321 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.893806 - 1.4s
322 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
323 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.847032 - 1.4s
324 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
325 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.867416 - 1.3s
326 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
327 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.679842 - 1.4s
328 +[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
329 +[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.876690 - 1.4s
330 +[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
331 +[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.858068 - 1.5s
332 +[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
333 +[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.899473 - 1.5s
334 +[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
335 +[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.889289 - 1.3s
336 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
337 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.862528 - 1.1s
338 +[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
339 +[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.925107 - 1.3s
340 +[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
341 +[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.727632 - 1.5s
342 +[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
343 +[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.752973 - 1.5s
344 +[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
345 +[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.918674 - 1.3s
346 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
347 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.810648 - 1.3s
348 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
349 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.865193 - 1.5s
350 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
351 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.823313 - 1.5s
352 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
353 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.789187 - 1.5s
354 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
355 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.894971 - 1.4s
356 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
357 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.894971 - 1.3s
358 +[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
359 +[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.925560 - 1.5s
360 +[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
361 +[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.934128 - 1.4s
362 +[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
363 +[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.810774 - 1.5s
364 +[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
365 +[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.824101 - 1.5s
366 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
367 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.912532 - 1.0s
368 +[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
369 +[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.729474 - 1.4s
370 +[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
371 +[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.826344 - 1.3s
372 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
373 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.860604 - 1.5s
374 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
375 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.856700 - 1.3s
376 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
377 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.926731 - 1.5s
378 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
379 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.925560 - 1.5s
380 +[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
381 +[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.635785 - 1.5s
382 +[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
383 +[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.868123 - 1.4s
384 +[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
385 +[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.718921 - 1.5s
386 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
387 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.804464 - 1.3s
388 +[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
389 +[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.813790 - 1.5s
390 +[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
391 +[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.899473 - 1.5s
392 +[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
393 +[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.838488 - 1.4s
394 +[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
395 +[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.917297 - 1.6s
396 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
397 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.917115 - 1.0s
398 +[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
399 +[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.849701 - 1.4s
400 +[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
401 +[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.804464 - 1.4s
402 +[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
403 +[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.635785 - 1.5s
404 +[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
405 +[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.804464 - 1.6s
406 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
407 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.950725 - 1.1s
408 +[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
409 +[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.852560 - 1.5s
410 +[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
411 +[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.890024 - 1.4s
412 +[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
413 +[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.826344 - 1.3s
414 +[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
415 +[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.843508 - 1.4s
416 +[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
417 +[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.848700 - 1.5s
418 +[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
419 +[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.950725 - 1.5s
420 +[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
421 +[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.925560 - 1.5s
422 +[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
423 +[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.873786 - 1.5s
424 +[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
425 +[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.802648 - 1.5s
426 +[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
427 +[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.694229 - 1.3s
428 +Training done in: 9.576261s
429 + Saving training model...
430 + Saving training model done in: 0.014119s
431 +*********************************
432 +Prediction done in: 0.040201s
1 +-------------------------------- PARAMETERS --------------------------------
2 +Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
3 +File with training data set: training-data-set-70.txt
4 +Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
5 +File with test data set: test-data-set-30.txt
6 +Exclude stop words: False
7 +Levels: False True
8 +Report file: _v13
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003575s
15 +-------------------------------- FEATURES --------------------------------
16 +--------------------------Features Training ---------------------------
17 + 0 1
18 +0 lemma 2
19 +1 postag CD
20 +2 -1:lemma fructose
21 +3 -1:postag NN
22 +4 word 2
23 +5 isUpper False
24 +6 isLower False
25 +7 isGreek False
26 +8 isNumber True
27 +9 -1:word fructose
28 +10 -2:lemma Cra
29 +11 -2:postag NNP
30 +--------------------------- FeaturesTest -----------------------------
31 + 0 1
32 +0 lemma delta-arca
33 +1 postag NN
34 +2 -1:lemma _
35 +3 -1:postag NN
36 +4 +1:lemma _
37 +5 +1:postag CD
38 +6 word delta-arcA
39 +7 isUpper False
40 +8 isLower False
41 +9 isGreek False
42 +10 isNumber False
43 +11 -1:word _
44 +12 +1:word _
45 +13 -2:lemma affyexp
46 +14 -2:postag JJ
47 +15 +2:lemma glucose
48 +16 +2:postag NN
49 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
50 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
51 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.778117 - 1.3s
52 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
53 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.853767 - 1.5s
54 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
55 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.931253 - 1.4s
56 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
57 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.593248 - 1.6s
58 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
59 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.927267 - 1.4s
60 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
61 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.798145 - 0.9s
62 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
63 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.885817 - 1.6s
64 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
65 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.856059 - 1.4s
66 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
67 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.766544 - 1.6s
68 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
69 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.897630 - 1.4s
70 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
71 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.885973 - 1.0s
72 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
73 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.866353 - 1.4s
74 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
75 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.938157 - 1.5s
76 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
77 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.907533 - 1.5s
78 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
79 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.794758 - 1.6s
80 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
81 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.853967 - 1.2s
82 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
83 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.931991 - 1.5s
84 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
85 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.695368 - 1.6s
86 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
87 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.793626 - 1.5s
88 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
89 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.798753 - 1.5s
90 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
91 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.812996 - 1.2s
92 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
93 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.836597 - 1.6s
94 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
95 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.853767 - 1.5s
96 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
97 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.880703 - 1.4s
98 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
99 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.707282 - 1.6s
100 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
101 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.601824 - 1.2s
102 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
103 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.717781 - 1.6s
104 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
105 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.814418 - 1.6s
106 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
107 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.813706 - 1.5s
108 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
109 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.848812 - 1.5s
110 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
111 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.818821 - 1.2s
112 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
113 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.892921 - 1.5s
114 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
115 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.913784 - 1.6s
116 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
117 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.800038 - 1.5s
118 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
119 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.913784 - 1.5s
120 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
121 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.903311 - 1.3s
122 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
123 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.765908 - 1.6s
124 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
125 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.845227 - 1.4s
126 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
127 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.738812 - 1.5s
128 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
129 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.868921 - 1.4s
130 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
131 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.889602 - 1.1s
132 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
133 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.913784 - 1.8s
134 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
135 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.818750 - 1.5s
136 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
137 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.867753 - 1.4s
138 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
139 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.631304 - 1.2s
140 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
141 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.764357 - 1.3s
142 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
143 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.827578 - 1.5s
144 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
145 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.811515 - 1.5s
146 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
147 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.866963 - 1.6s
148 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
149 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.783556 - 1.5s
150 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
151 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.852879 - 1.4s
152 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
153 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.913784 - 1.6s
154 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
155 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.912193 - 1.5s
156 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
157 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.866353 - 1.4s
158 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
159 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.900039 - 1.3s
160 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
161 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.866353 - 1.4s
162 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
163 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.853559 - 1.4s
164 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
165 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.900039 - 1.5s
166 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
167 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.869996 - 1.4s
168 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
169 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.859362 - 1.3s
170 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
171 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.863001 - 1.3s
172 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
173 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.849838 - 1.4s
174 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
175 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.925823 - 1.4s
176 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
177 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.913214 - 1.6s
178 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
179 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.906331 - 1.4s
180 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
181 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.818254 - 1.3s
182 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
183 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.686298 - 1.5s
184 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
185 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.680687 - 1.6s
186 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
187 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.931991 - 1.4s
188 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
189 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.867607 - 1.4s
190 +[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
191 +[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.902496 - 1.5s
192 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
193 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.790902 - 1.6s
194 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
195 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.857043 - 1.5s
196 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
197 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.809731 - 1.6s
198 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
199 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.840372 - 1.3s
200 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
201 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.727697 - 1.4s
202 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
203 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.917874 - 1.4s
204 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
205 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.797760 - 1.6s
206 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
207 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.727697 - 1.5s
208 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
209 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.819378 - 1.5s
210 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
211 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.833325 - 1.5s
212 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
213 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.888803 - 1.4s
214 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
215 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.851826 - 1.4s
216 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
217 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.969518 - 1.6s
218 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
219 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.917037 - 1.3s
220 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
221 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.832339 - 1.5s
222 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
223 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.847604 - 1.5s
224 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
225 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.798145 - 1.3s
226 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
227 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.884921 - 1.4s
228 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
229 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.722395 - 1.2s
230 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
231 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.931814 - 1.4s
232 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
233 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.939034 - 1.6s
234 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
235 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.842339 - 1.4s
236 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
237 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.842929 - 1.5s
238 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
239 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.804932 - 1.4s
240 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
241 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.951585 - 1.5s
242 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
243 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.780124 - 1.5s
244 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
245 +[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.803867 - 1.5s
246 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
247 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.923193 - 1.5s
248 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
249 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.866911 - 1.3s
250 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
251 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.848812 - 1.5s
252 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
253 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.913784 - 1.6s
254 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
255 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.849422 - 1.4s
256 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
257 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.853767 - 1.4s
258 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
259 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.931991 - 1.3s
260 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
261 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.931991 - 1.2s
262 +[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
263 +[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.927980 - 1.6s
264 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
265 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.928742 - 1.6s
266 +[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
267 +[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.889602 - 1.4s
268 +[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
269 +[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.942868 - 1.5s
270 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
271 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.928742 - 1.4s
272 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
273 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.808180 - 1.5s
274 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
275 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.804932 - 1.5s
276 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
277 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.808180 - 1.5s
278 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
279 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.931814 - 1.1s
280 +[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
281 +[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.847604 - 1.3s
282 +[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
283 +[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.855349 - 1.4s
284 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
285 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.892921 - 1.6s
286 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
287 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.902216 - 1.6s
288 +[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
289 +[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.795123 - 1.6s
290 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
291 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.808180 - 1.6s
292 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
293 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.939034 - 1.5s
294 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
295 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.795123 - 1.5s
296 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
297 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.707282 - 1.5s
298 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
299 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.885973 - 1.1s
300 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
301 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.778117 - 1.6s
302 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
303 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.826198 - 1.5s
304 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
305 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.896776 - 1.4s
306 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
307 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.884219 - 1.3s
308 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
309 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.858948 - 1.1s
310 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
311 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.864761 - 1.4s
312 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
313 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.848812 - 1.4s
314 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
315 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.917433 - 1.4s
316 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
317 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.866714 - 1.5s
318 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
319 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.854195 - 1.3s
320 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
321 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.601824 - 1.5s
322 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
323 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.707282 - 1.5s
324 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
325 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.812996 - 1.5s
326 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
327 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.927267 - 1.3s
328 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
329 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.798145 - 1.2s
330 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
331 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.696344 - 1.4s
332 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
333 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.804491 - 1.5s
334 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
335 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.686298 - 1.5s
336 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
337 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.931991 - 1.4s
338 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
339 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.826012 - 1.4s
340 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
341 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.913784 - 1.5s
342 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
343 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.884106 - 1.4s
344 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
345 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.900039 - 1.6s
346 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
347 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.928742 - 1.4s
348 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
349 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.838813 - 1.3s
350 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
351 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.885714 - 1.6s
352 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
353 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.931991 - 1.3s
354 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
355 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.790054 - 1.5s
356 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
357 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.696344 - 1.5s
358 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
359 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.869958 - 1.4s
360 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
361 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.818750 - 1.5s
362 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
363 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.906003 - 1.4s
364 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
365 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.612088 - 1.5s
366 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
367 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.830299 - 1.5s
368 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
369 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.848792 - 1.1s
370 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
371 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.922396 - 1.4s
372 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
373 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.712608 - 1.5s
374 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
375 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.827116 - 1.6s
376 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
377 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.913784 - 1.6s
378 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
379 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.778117 - 1.3s
380 +[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
381 +[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.827116 - 1.5s
382 +[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
383 +[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.785941 - 1.5s
384 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
385 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.859362 - 1.5s
386 +[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
387 +[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.814418 - 1.6s
388 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
389 +[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.939803 - 1.4s
390 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
391 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.907533 - 1.6s
392 +[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
393 +[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.839546 - 1.5s
394 +[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
395 +[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.719375 - 1.3s
396 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
397 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.849255 - 1.5s
398 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
399 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.806478 - 1.2s
400 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
401 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.896776 - 1.4s
402 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
403 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.884219 - 1.4s
404 +[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
405 +[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.910483 - 1.5s
406 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
407 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.841204 - 1.5s
408 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
409 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.601824 - 1.3s
410 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
411 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.806478 - 1.4s
412 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
413 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.863344 - 1.5s
414 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
415 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.854202 - 1.4s
416 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
417 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.856387 - 1.3s
418 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
419 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.812996 - 1.3s
420 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
421 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.908387 - 1.6s
422 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
423 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.869996 - 1.5s
424 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
425 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.908387 - 1.5s
426 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
427 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.854811 - 1.4s
428 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
429 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.902496 - 1.2s
430 +[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
431 +[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.792413 - 1.5s
432 +[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
433 +[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.859339 - 1.5s
434 +[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
435 +[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.818821 - 1.4s
436 +[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
437 +[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.952892 - 1.5s
438 +[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
439 +[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.792413 - 1.2s
440 +Training done in: 9.689625s
441 + Saving training model...
442 + Saving training model done in: 0.014153s
443 +*********************************
444 +Prediction done in: 0.041572s
1 +-------------------------------- PARAMETERS --------------------------------
2 +Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
3 +File with training data set: training-data-set-70.txt
4 +Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
5 +File with test data set: test-data-set-30.txt
6 +Exclude stop words: False
7 +Levels: True True
8 +Report file: _v13
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003530s
15 +-------------------------------- FEATURES --------------------------------
16 +--------------------------Features Training ---------------------------
17 + 0 1
18 +0 lemma 2
19 +1 postag CD
20 +2 -1:lemma fructose
21 +3 -1:postag NN
22 +4 hUpper False
23 +5 hLower False
24 +6 hGreek False
25 +7 symb False
26 +8 lemma[:1] 2
27 +9 word 2
28 +10 isUpper False
29 +11 isLower False
30 +12 isGreek False
31 +13 isNumber True
32 +14 -1:word fructose
33 +15 -2:lemma Cra
34 +16 -2:postag NNP
35 +--------------------------- FeaturesTest -----------------------------
36 + 0 1
37 +0 lemma delta-arca
38 +1 postag NN
39 +2 -1:lemma _
40 +3 -1:postag NN
41 +4 +1:lemma _
42 +5 +1:postag CD
43 +6 hUpper True
44 +7 hLower True
45 +8 hGreek False
46 +9 symb True
47 +10 lemma[:1] d
48 +11 lemma[:2] de
49 +12 word delta-arcA
50 +13 isUpper False
51 +14 isLower False
52 +15 isGreek False
53 +16 isNumber False
54 +17 -1:word _
55 +18 +1:word _
56 +19 -2:lemma affyexp
57 +20 -2:postag JJ
58 +21 +2:lemma glucose
59 +22 +2:postag NN
60 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
61 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
62 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.855584 - 1.4s
63 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
64 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.839443 - 1.6s
65 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
66 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.744355 - 1.9s
67 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
68 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.837423 - 1.7s
69 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
70 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.786374 - 1.9s
71 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
72 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.894214 - 1.4s
73 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
74 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.927296 - 1.6s
75 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
76 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.769561 - 1.6s
77 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
78 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.820276 - 1.8s
79 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
80 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.852241 - 1.8s
81 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
82 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.701018 - 1.5s
83 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
84 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.823313 - 1.8s
85 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
86 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.810806 - 1.7s
87 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
88 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.862528 - 1.8s
89 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
90 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.917821 - 1.7s
91 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
92 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.927296 - 1.4s
93 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
94 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.871337 - 1.6s
95 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
96 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.928279 - 1.8s
97 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
98 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.905285 - 1.8s
99 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
100 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.877672 - 1.7s
101 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
102 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.947560 - 1.5s
103 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
104 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.827435 - 1.7s
105 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
106 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.934961 - 1.8s
107 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
108 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.871999 - 1.7s
109 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
110 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.877726 - 1.6s
111 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
112 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.832180 - 1.6s
113 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
114 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.905285 - 1.6s
115 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
116 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.908266 - 1.7s
117 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
118 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.712673 - 1.9s
119 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
120 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.818750 - 1.8s
121 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
122 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.844088 - 1.3s
123 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
124 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.876526 - 1.8s
125 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
126 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.786169 - 1.6s
127 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
128 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.917821 - 1.6s
129 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
130 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.677786 - 1.9s
131 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
132 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.854858 - 1.5s
133 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
134 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.827337 - 1.7s
135 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
136 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.854189 - 1.8s
137 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
138 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.797575 - 1.8s
139 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
140 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.936486 - 1.7s
141 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
142 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.882807 - 1.2s
143 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
144 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.827690 - 2.0s
145 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
146 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.601194 - 1.8s
147 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
148 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.813790 - 2.0s
149 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
150 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.932900 - 1.9s
151 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
152 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.867297 - 1.5s
153 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
154 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.945654 - 2.0s
155 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
156 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.848253 - 1.6s
157 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
158 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.927509 - 1.9s
159 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
160 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.609476 - 1.7s
161 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
162 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.945871 - 1.4s
163 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
164 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.940537 - 1.7s
165 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
166 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.767841 - 1.7s
167 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
168 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.824101 - 1.9s
169 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
170 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.777170 - 1.7s
171 +[CV] c1=0.014622839747769914, c2=0.061827531030816944 ................
172 +[CV] c1=0.014622839747769914, c2=0.061827531030816944, score=0.927296 - 1.3s
173 +[CV] c1=0.2546256913180655, c2=0.08567888835212083 ...................
174 +[CV] c1=0.2546256913180655, c2=0.08567888835212083, score=0.701018 - 1.8s
175 +[CV] c1=1.320423767018736, c2=0.0006342386585221799 ..................
176 +[CV] c1=1.320423767018736, c2=0.0006342386585221799, score=0.818750 - 1.9s
177 +[CV] c1=0.3895794958853977, c2=0.008826457669620126 ..................
178 +[CV] c1=0.3895794958853977, c2=0.008826457669620126, score=0.950725 - 2.0s
179 +[CV] c1=0.6190712080838937, c2=0.07176205729861096 ...................
180 +[CV] c1=0.6190712080838937, c2=0.07176205729861096, score=0.824101 - 1.9s
181 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
182 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.844088 - 1.6s
183 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
184 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.874253 - 1.6s
185 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
186 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.927296 - 1.6s
187 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
188 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.686282 - 1.8s
189 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
190 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.818750 - 1.8s
191 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
192 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.849406 - 1.8s
193 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
194 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.701018 - 1.8s
195 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
196 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.812996 - 1.7s
197 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
198 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.841763 - 1.5s
199 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
200 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.772963 - 1.6s
201 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
202 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.950946 - 1.7s
203 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
204 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.927296 - 1.6s
205 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
206 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.729474 - 1.8s
207 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
208 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.917821 - 1.6s
209 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
210 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.744355 - 1.8s
211 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
212 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.898170 - 1.7s
213 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
214 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.947560 - 1.7s
215 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
216 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.898170 - 1.7s
217 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
218 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.946646 - 1.8s
219 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
220 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.932900 - 1.7s
221 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
222 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.876526 - 1.7s
223 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
224 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.927296 - 1.6s
225 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
226 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.777170 - 1.7s
227 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
228 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.816898 - 1.8s
229 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
230 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.931245 - 1.6s
231 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
232 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.950876 - 1.6s
233 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
234 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.879222 - 1.6s
235 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
236 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.964555 - 1.8s
237 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
238 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.892910 - 1.7s
239 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
240 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.908266 - 1.7s
241 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
242 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.849406 - 1.5s
243 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
244 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.714964 - 1.9s
245 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
246 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.813790 - 1.8s
247 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
248 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.868123 - 1.8s
249 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
250 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.794077 - 1.7s
251 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
252 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.839383 - 1.8s
253 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
254 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.859593 - 1.7s
255 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
256 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.925645 - 1.8s
257 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
258 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.850628 - 1.8s
259 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
260 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.839785 - 1.6s
261 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
262 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.701018 - 1.7s
263 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
264 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.824097 - 1.7s
265 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
266 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.888272 - 1.7s
267 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
268 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.818750 - 1.8s
269 +[CV] c1=1.1730395683067192, c2=0.04136085455259575 ...................
270 +[CV] c1=1.1730395683067192, c2=0.04136085455259575, score=0.832561 - 1.7s
271 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
272 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.898170 - 1.7s
273 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
274 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.912922 - 1.7s
275 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
276 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.774381 - 1.6s
277 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
278 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.889771 - 1.6s
279 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
280 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.872077 - 1.5s
281 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
282 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.876526 - 1.7s
283 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
284 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.854858 - 1.8s
285 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
286 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.745317 - 1.8s
287 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
288 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.687982 - 1.8s
289 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
290 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.694284 - 1.6s
291 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
292 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.898170 - 1.7s
293 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
294 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.867297 - 1.7s
295 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
296 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.859655 - 1.6s
297 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
298 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.818750 - 1.8s
299 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
300 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.917821 - 1.5s
301 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
302 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.927296 - 1.6s
303 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
304 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.865754 - 1.8s
305 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
306 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.601194 - 1.8s
307 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
308 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.917821 - 1.7s
309 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
310 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.818750 - 1.5s
311 +[CV] c1=0.16796773996321945, c2=0.051466183184993 ....................
312 +[CV] c1=0.16796773996321945, c2=0.051466183184993, score=0.823313 - 1.9s
313 +[CV] c1=0.00632707477587882, c2=0.032688081217957285 .................
314 +[CV] c1=0.00632707477587882, c2=0.032688081217957285, score=0.939823 - 1.7s
315 +[CV] c1=0.12475431096451621, c2=0.013861677898849787 .................
316 +[CV] c1=0.12475431096451621, c2=0.013861677898849787, score=0.864462 - 1.8s
317 +[CV] c1=0.6186211042682789, c2=0.021841056417535254 ..................
318 +[CV] c1=0.6186211042682789, c2=0.021841056417535254, score=0.923585 - 1.8s
319 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
320 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.803283 - 1.7s
321 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
322 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.842165 - 1.6s
323 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
324 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.947560 - 1.8s
325 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
326 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.767841 - 1.7s
327 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
328 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.824101 - 1.6s
329 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
330 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.950725 - 1.5s
331 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
332 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.926731 - 1.7s
333 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
334 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.839785 - 1.8s
335 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
336 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.744355 - 1.7s
337 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
338 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.923585 - 1.7s
339 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
340 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.827435 - 1.4s
341 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
342 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.701018 - 1.8s
343 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
344 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.832180 - 1.8s
345 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
346 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.810806 - 1.7s
347 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
348 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.869758 - 1.8s
349 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
350 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.905285 - 1.5s
351 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
352 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.940537 - 1.8s
353 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
354 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.945871 - 1.8s
355 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
356 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.930867 - 1.8s
357 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
358 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.848003 - 1.7s
359 +[CV] c1=0.35540949764912066, c2=0.05344196426839372 ..................
360 +[CV] c1=0.35540949764912066, c2=0.05344196426839372, score=0.931225 - 1.5s
361 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
362 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.813790 - 1.8s
363 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
364 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.950725 - 1.8s
365 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
366 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.932900 - 1.8s
367 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
368 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.920469 - 1.6s
369 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
370 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.818750 - 1.3s
371 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
372 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.950946 - 1.8s
373 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
374 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.854858 - 1.7s
375 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
376 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.812988 - 1.6s
377 +[CV] c1=0.5174874167807753, c2=0.020703126745445985 ..................
378 +[CV] c1=0.5174874167807753, c2=0.020703126745445985, score=0.946646 - 1.9s
379 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
380 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.850628 - 1.5s
381 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
382 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.929483 - 1.8s
383 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
384 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.927302 - 1.7s
385 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
386 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.825027 - 1.7s
387 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
388 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.950725 - 1.7s
389 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
390 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.912264 - 1.2s
391 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
392 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.883482 - 1.8s
393 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
394 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.872077 - 1.8s
395 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
396 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.862659 - 1.7s
397 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
398 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.917821 - 1.6s
399 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
400 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.841763 - 1.5s
401 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
402 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.839383 - 1.7s
403 +[CV] c1=0.022485418318991247, c2=0.07226838517970073 .................
404 +[CV] c1=0.022485418318991247, c2=0.07226838517970073, score=0.886214 - 1.7s
405 +[CV] c1=1.4962368934644148, c2=0.005609305438174272 ..................
406 +[CV] c1=1.4962368934644148, c2=0.005609305438174272, score=0.907688 - 1.9s
407 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
408 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.902802 - 1.8s
409 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
410 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.677786 - 1.5s
411 +[CV] c1=0.190929240598343, c2=0.04355186228965651 ....................
412 +[CV] c1=0.190929240598343, c2=0.04355186228965651, score=0.813790 - 1.9s
413 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
414 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.865505 - 1.8s
415 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
416 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.609476 - 1.8s
417 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
418 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.813790 - 1.8s
419 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
420 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.946646 - 1.4s
421 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
422 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.847957 - 1.8s
423 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
424 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.824101 - 1.7s
425 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
426 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.931245 - 1.7s
427 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
428 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.927509 - 1.7s
429 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
430 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.824101 - 1.3s
431 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
432 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.844455 - 1.9s
433 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
434 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.818750 - 1.8s
435 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
436 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.818750 - 1.8s
437 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
438 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.862528 - 1.7s
439 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
440 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.882795 - 1.4s
441 +[CV] c1=0.1736092848065649, c2=0.02070619498632359 ...................
442 +[CV] c1=0.1736092848065649, c2=0.02070619498632359, score=0.711517 - 1.8s
443 +[CV] c1=0.3890080123705456, c2=0.06863542905418545 ...................
444 +[CV] c1=0.3890080123705456, c2=0.06863542905418545, score=0.694284 - 1.9s
445 +[CV] c1=0.9907276867534006, c2=0.015068999673777204 ..................
446 +[CV] c1=0.9907276867534006, c2=0.015068999673777204, score=0.908266 - 1.6s
447 +[CV] c1=0.37993592904226775, c2=0.001287546330642171 .................
448 +[CV] c1=0.37993592904226775, c2=0.001287546330642171, score=0.696477 - 1.8s
449 +[CV] c1=0.5132989845379167, c2=0.04018212909012408 ...................
450 +[CV] c1=0.5132989845379167, c2=0.04018212909012408, score=0.917821 - 1.5s
451 +Training done in: 11.427793s
452 + Saving training model...
453 + Saving training model done in: 0.013545s
454 +*********************************
455 +Prediction done in: 0.047166s
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.17555398242003323, 'c2': 0.0008367558417380293}
5 +best CV score:0.8636034196474707
6 +model size: 0.06M
7 +
8 +Flat F1: 0.7624930609829998
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 0.955 0.913 0.933 23
14 + Med 1.000 0.925 0.961 53
15 + Temp 1.000 0.690 0.816 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.882 1.000 0.938 15
19 + Air 0.543 0.362 0.435 69
20 + Anti 0.786 1.000 0.880 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.873 0.812 0.841 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.627 0.791 0.700 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.782 0.761 0.762 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 6.236783
32 +Agit -> Agit 5.977368
33 +Supp -> Supp 5.723953
34 +Med -> Med 5.445232
35 +Anti -> Anti 5.324268
36 +OD -> OD 5.311513
37 +Phase -> Phase 4.992339
38 +O -> O 4.981091
39 +Gtype -> Gtype 4.717730
40 +Gversion -> Gversion 4.330989
41 +Air -> Air 4.201627
42 +Technique -> Technique 3.925712
43 +pH -> pH 2.615370
44 +O -> Supp 1.837983
45 +Substrain -> Gtype 1.799206
46 +O -> Technique 1.591877
47 +Gtype -> Supp 1.476534
48 +O -> Gtype 1.337075
49 +Air -> O 1.306525
50 +O -> Temp 0.991053
51 +Supp -> O 0.824285
52 +Temp -> O 0.739357
53 +O -> Phase 0.680154
54 +Gtype -> pH 0.472477
55 +Med -> O 0.436738
56 +Gtype -> Air 0.397033
57 +O -> Anti 0.333293
58 +O -> Gversion 0.293983
59 +Phase -> O 0.274110
60 +O -> Med 0.270711
61 +O -> pH 0.265830
62 +Technique -> Air 0.239225
63 +O -> OD 0.208609
64 +OD -> O 0.168573
65 +Anti -> O 0.047017
66 +Strain -> O 0.043724
67 +Technique -> Gtype -0.000116
68 +Gtype -> Anti -0.013188
69 +Technique -> O -0.023355
70 +Supp -> Med -0.155280
71 +Gtype -> Med -0.630390
72 +Gtype -> O -0.667165
73 +O -> Air -0.778473
74 +Phase -> OD -1.117260
75 +Med -> Supp -1.179521
76 +Substrain -> O -1.530930
77 +
78 +
79 +Top unlikely transitions:
80 +Temp -> Temp 6.236783
81 +Agit -> Agit 5.977368
82 +Supp -> Supp 5.723953
83 +Med -> Med 5.445232
84 +Anti -> Anti 5.324268
85 +OD -> OD 5.311513
86 +Phase -> Phase 4.992339
87 +O -> O 4.981091
88 +Gtype -> Gtype 4.717730
89 +Gversion -> Gversion 4.330989
90 +Air -> Air 4.201627
91 +Technique -> Technique 3.925712
92 +pH -> pH 2.615370
93 +O -> Supp 1.837983
94 +Substrain -> Gtype 1.799206
95 +O -> Technique 1.591877
96 +Gtype -> Supp 1.476534
97 +O -> Gtype 1.337075
98 +Air -> O 1.306525
99 +O -> Temp 0.991053
100 +Supp -> O 0.824285
101 +Temp -> O 0.739357
102 +O -> Phase 0.680154
103 +Gtype -> pH 0.472477
104 +Med -> O 0.436738
105 +Gtype -> Air 0.397033
106 +O -> Anti 0.333293
107 +O -> Gversion 0.293983
108 +Phase -> O 0.274110
109 +O -> Med 0.270711
110 +O -> pH 0.265830
111 +Technique -> Air 0.239225
112 +O -> OD 0.208609
113 +OD -> O 0.168573
114 +Anti -> O 0.047017
115 +Strain -> O 0.043724
116 +Technique -> Gtype -0.000116
117 +Gtype -> Anti -0.013188
118 +Technique -> O -0.023355
119 +Supp -> Med -0.155280
120 +Gtype -> Med -0.630390
121 +Gtype -> O -0.667165
122 +O -> Air -0.778473
123 +Phase -> OD -1.117260
124 +Med -> Supp -1.179521
125 +Substrain -> O -1.530930
126 +
127 +
128 +Top positive:
129 +10.045367 Supp b'lemma:Iron'
130 +9.100880 O b'lemma:_'
131 +8.242002 Strain b'+1:lemma:substr'
132 +8.132268 O b'lemma:Custom'
133 +7.734397 Air b'lemma:anaerobic'
134 +7.632513 Med b'lemma:MOPS'
135 +7.625936 Technique b'lemma:ChIP-exo'
136 +7.390329 O b'lemma:-'
137 +7.321441 Phase b'lemma:exponential'
138 +7.321441 Phase b'lemma:stationary'
139 +7.253404 O b'lemma:2'
140 +7.222756 Supp b'lemma:pq'
141 +7.207380 Air b'-1:lemma:ChIP-Seq'
142 +7.155349 Air b'lemma:aerobic'
143 +6.813539 Gtype b'lemma:wt'
144 +6.702581 Technique b'lemma:chipseq'
145 +6.645365 O b'lemma:rpob'
146 +6.639496 Phase b'lemma:mid-log'
147 +6.639111 Gtype b'lemma:type'
148 +6.622009 Air b'lemma:Aerobic'
149 +6.527859 O b'lemma:3'
150 +6.516390 Gtype b'lemma:\xce\xb4cra'
151 +6.499705 O b'lemma:1'
152 +6.263452 O b'-1:lemma:tag'
153 +6.173201 O b'lemma:b'
154 +6.155179 O b'-1:lemma:ChIP-exo'
155 +6.024948 Gversion b'lemma:asm584v2'
156 +6.012376 Gtype b'lemma:wild-type'
157 +5.936435 Supp b'+1:lemma:\xc2\xb5m'
158 +5.737282 O b'lemma:Cra'
159 +5.711321 O b'lemma:a'
160 +5.696390 Gversion b'lemma:nc'
161 +5.639739 Gtype b'lemma:flag-tag'
162 +5.639739 Gtype b'-1:lemma:c-terminal'
163 +5.628162 O b'lemma:rep1'
164 +5.614254 O b'lemma:rep3'
165 +5.494137 Gtype b'+1:lemma:type'
166 +5.430135 Supp b'lemma:nacl'
167 +5.262704 Technique b'lemma:ChIP-Seq'
168 +4.943606 Supp b'-1:lemma:Cra'
169 +4.865297 O b'lemma:\xcf\x8332'
170 +4.856195 Gtype b'lemma:\xce\xb4fur'
171 +4.812215 Gtype b'lemma:arca8myc'
172 +4.661623 Supp b'lemma:rifampicin'
173 +4.591681 Technique b'lemma:rna-seq'
174 +4.567002 O b'+1:lemma:pq'
175 +4.496950 O b'-1:lemma:type'
176 +4.491357 OD b'lemma:od450'
177 +4.482197 O b'postag:IN'
178 +4.479634 Supp b'lemma:acetate'
179 +4.472507 Med b'-1:lemma:ml'
180 +4.471210 Gtype b'lemma:dfnr'
181 +4.467873 Supp b'lemma:nitrate'
182 +4.378040 Technique b'lemma:rnaseq'
183 +4.342911 O b'lemma:ompr'
184 +4.332518 Supp b'-1:lemma:+'
185 +4.328989 Supp b'lemma:glucose'
186 +4.308726 O b'lemma:chip'
187 +4.302072 Gtype b'lemma:fnr8myc'
188 +4.273847 Gtype b'lemma:\xce\xb4soxr'
189 +4.190264 Gtype b'lemma:pk4854'
190 +4.098705 Anti b'lemma:none'
191 +4.079404 Supp b'lemma:nh4cl'
192 +3.957229 Anti b'lemma:\xcf\x8332'
193 +3.956003 Gtype b'-1:lemma:\xe2\x88\x86'
194 +3.953278 Agit b'+1:lemma:rpm'
195 +3.941726 Gtype b'lemma:\xe2\x88\x86'
196 +3.907768 Technique b'lemma:chip-seq'
197 +3.905761 Agit b'lemma:rpm'
198 +3.904057 Supp b'-1:lemma:with'
199 +3.875117 O b'lemma:with'
200 +3.849561 Gtype b'lemma:nsrr'
201 +3.837199 Strain b'lemma:k-12'
202 +3.821133 O b'-1:lemma:0.3'
203 +3.819067 Substrain b'lemma:mg1655'
204 +3.801355 Air b'postag:RB'
205 +3.742394 Gtype b'lemma:delta-fnr'
206 +3.723431 O b'lemma:.'
207 +3.723431 O b'postag:.'
208 +3.712638 Gtype b'+1:lemma:ph5'
209 +3.706468 Technique b'+1:lemma:chip-exo'
210 +3.704888 O b'-1:lemma:lb'
211 +3.700597 O b'postag:VBN'
212 +3.687731 Med b'lemma:lb'
213 +3.613975 O b'lemma:rep2'
214 +3.608532 Med b'+1:lemma:0.4'
215 +3.574989 Temp b'+1:lemma:in'
216 +3.569955 Gtype b'lemma:delta-arca'
217 +3.550905 O b'-1:lemma:Aerobic'
218 +3.528303 Anti b'lemma:seqa'
219 +3.503539 Supp b'lemma:Fe'
220 +3.492004 Supp b'lemma:no3'
221 +3.441556 O b'postag::'
222 +3.422006 O b'lemma:s'
223 +3.421977 Air b'-1:lemma:-'
224 +3.409494 Anti b'+1:lemma:antibody'
225 +3.369142 Supp b'lemma:Leu'
226 +3.366238 Gversion b'lemma:chip-seq'
227 +3.352237 pH b'lemma:5.5'
228 +3.322800 Supp b'lemma:dpd'
229 +3.313361 O b'postag:CC'
230 +3.300844 Air b'lemma:anaerobically'
231 +3.294952 O b'-1:lemma:glucose'
232 +3.283475 Gtype b'lemma:\xce\xb4ompr'
233 +3.272195 Gversion b'lemma:000913'
234 +3.262789 Air b'lemma:aerobically'
235 +3.220393 Temp b'-1:lemma:43'
236 +3.217440 Temp b'lemma:43'
237 +3.214588 O b'+1:lemma:arca-8myc'
238 +3.198442 Gtype b'-1:lemma:rpob'
239 +3.188606 O b'+1:lemma:250'
240 +3.187173 O b'lemma:harbor'
241 +3.185320 Gversion b'lemma:u00096'
242 +3.185320 Gversion b'+1:lemma:.2'
243 +3.175362 Substrain b'+1:lemma:phtpg'
244 +3.172542 Gtype b'lemma:\xce\xb4oxyr'
245 +3.170170 Supp b'lemma:Adenine'
246 +3.164012 Supp b'lemma:arginine'
247 +3.136227 O b'postag:VBG'
248 +3.104172 Med b'+1:lemma:2.0'
249 +3.096505 Temp b'-1:lemma:\xcf\x8332'
250 +3.074944 Technique b'-1:lemma:IP'
251 +3.067448 O b'-1:lemma:0.3-0.35'
252 +3.065444 Med b'lemma:L'
253 +3.065444 Med b'+1:lemma:broth'
254 +3.060118 O b'lemma:CEL'
255 +3.054281 O b'+1:lemma:coli'
256 +3.051410 O b'-1:lemma:\xc2\xb0c'
257 +3.034615 Temp b'-1:lemma:sample'
258 +3.029536 Air b'lemma:anaeroibc'
259 +3.023155 Substrain b'lemma:mg1655star'
260 +3.019933 Gtype b'+1:lemma:pq'
261 +2.995596 O b'+1:lemma:acetate'
262 +2.984619 Gversion b'-1:lemma:nc'
263 +2.925612 Vess b'lemma:flask'
264 +2.925612 Vess b'-1:lemma:warm'
265 +2.899963 O b'-1:lemma:into'
266 +2.891018 Technique b'-1:lemma:chip-exo'
267 +2.890525 O b'+1:lemma:od600'
268 +2.858430 Supp b'-1:lemma:vol'
269 +2.849587 Supp b'+1:lemma:1'
270 +2.828369 pH b'lemma:ph5'
271 +2.828369 pH b'+1:lemma:.5'
272 +2.824538 Technique b'+1:lemma:rna-seq'
273 +2.822954 O b'lemma:ml'
274 +2.817516 Med b'lemma:m63'
275 +2.799830 O b'+1:lemma:chip-seq'
276 +2.787598 Gtype b'-1:lemma:delta'
277 +2.779697 Supp b'lemma:fructose'
278 +2.767969 Anti b'lemma:anti-myc'
279 +2.763373 Med b'lemma:minimal'
280 +2.743566 Gversion b'lemma:.2'
281 +2.743566 Gversion b'-1:lemma:u00096'
282 +2.740028 O b'lemma:at'
283 +2.726573 O b'+1:lemma:mid-log'
284 +2.723830 Med b'lemma:media'
285 +2.690230 Gtype b'-1:lemma:ptac'
286 +2.654749 Phase b'-1:lemma:mid-log'
287 +2.599977 Temp b'-1:lemma:37'
288 +2.596352 Supp b'+1:lemma:mm'
289 +2.585123 O b'lemma:genotype/variation'
290 +2.571508 pH b'+1:lemma:5.5'
291 +2.562718 O b'+1:postag:RB'
292 +2.562005 Med b'lemma:broth'
293 +2.562005 Med b'-1:lemma:L'
294 +2.554222 O b'+1:postag:NNP'
295 +2.535600 Gtype b'+1:lemma:_'
296 +2.518199 pH b'+1:postag:CD'
297 +2.518124 Gtype b'+1:lemma:with'
298 +2.491187 Supp b'-1:lemma:sodium'
299 +2.469590 Gtype b'-1:postag:VBG'
300 +2.467682 O b'lemma::'
301 +2.457707 Gtype b'+1:lemma:flagtag'
302 +2.438605 Supp b'-1:lemma:\xc2\xb5m'
303 +2.431369 O b'lemma:delta'
304 +2.383985 O b'-1:lemma:rpm'
305 +2.377086 O b'lemma:condition'
306 +2.376152 Gtype b'-1:lemma:factor'
307 +2.371623 Med b'-1:lemma:fresh'
308 +2.370677 O b'lemma:agitation'
309 +2.284942 O b'-1:lemma:l1'
310 +2.275556 Supp b'lemma:2h'
311 +2.275556 Supp b'-1:lemma:additional'
312 +2.274947 Phase b'lemma:phase'
313 +2.266504 Gtype b'+1:postag::'
314 +2.261288 Supp b'+1:lemma:2'
315 +2.260087 O b'lemma:culture'
316 +2.253128 Temp b'lemma:\xc2\xb0c'
317 +2.230044 Gtype b'lemma:deltaseqa'
318 +2.230044 Gtype b'-1:lemma:old'
319 +2.227831 O b'+1:lemma:or'
320 +2.192592 O b'+1:lemma:sparging'
321 +2.165330 O b'lemma:chip-arca'
322 +2.117423 Gtype b'lemma:ptac'
323 +2.114952 Temp b'lemma:37'
324 +2.108020 Med b'-1:lemma:glucose'
325 +2.104393 Supp b'+1:lemma:_'
326 +2.087736 Med b'+1:lemma:g/l'
327 +2.077989 Vess b'+1:lemma:at'
328 +2.059857 Phase b'-1:lemma:until'
329 +
330 +
331 +Top negative:
332 +0.000742 Supp b'postag::'
333 +0.000442 Air b'-1:lemma:phase'
334 +0.000211 Supp b'lemma:,'
335 +0.000211 Supp b'postag:,'
336 +0.000137 O b'+1:postag:CD'
337 +0.000131 Supp b'lemma:;'
338 +0.000131 Supp b'-1:lemma:7.6'
339 +0.000123 Air b'lemma:-lrb-'
340 +0.000116 Air b'postag:-LRB-'
341 +0.000115 Temp b'postag:CD'
342 +0.000114 Air b'lemma:95'
343 +0.000098 O b'lemma:IP'
344 +0.000087 Supp b'+1:lemma:10'
345 +0.000082 Air b'+1:postag:CC'
346 +0.000081 O b'+1:lemma:phase'
347 +0.000081 Air b'+1:lemma:n2'
348 +0.000068 Air b'-1:lemma:and'
349 +0.000067 O b'lemma:dpd'
350 +0.000062 Temp b'-1:postag:IN'
351 +0.000059 Air b'+1:lemma:-rrb-'
352 +0.000058 Air b'+1:postag:-RRB-'
353 +0.000057 Air b'postag:CC'
354 +0.000036 Supp b'lemma:m'
355 +0.000028 Med b'+1:postag:VBG'
356 +0.000020 Gversion b'-1:postag::'
357 +0.000008 Air b'-1:lemma:-lrb-'
358 +0.000007 Air b'-1:postag:-LRB-'
359 +0.000001 O b'+1:lemma:anti-fur'
360 +-0.000004 O b'+1:lemma:contain'
361 +-0.000005 O b'+1:lemma:7.6'
362 +-0.000018 O b'-1:lemma:95'
363 +-0.000026 O b'-1:lemma:anaerobically'
364 +-0.000028 O b'lemma:m'
365 +-0.000035 O b'lemma:co2'
366 +-0.000041 Supp b'+1:postag:IN'
367 +-0.000044 O b'lemma:n2'
368 +-0.000052 Gtype b'-1:postag:NNP'
369 +-0.000060 O b'lemma:;'
370 +-0.000060 O b'-1:lemma:7.6'
371 +-0.000139 O b'+1:lemma:95'
372 +-0.000142 O b'lemma:phase'
373 +-0.000218 O b'lemma:7.6'
374 +-0.000218 O b'+1:lemma:;'
375 +-0.000325 O b'-1:lemma:rifampicin'
376 +-0.000388 Med b'postag:JJ'
377 +-0.000590 Gtype b'+1:lemma:\xe2\x88\x86'
378 +-0.000903 O b'lemma:fecl2'
379 +-0.001037 Med b'-1:postag:CD'
380 +-0.002018 OD b'postag:NN'
381 +-0.002219 O b'-1:postag:DT'
382 +-0.002619 Agit b'-1:postag:NN'
383 +-0.002670 Agit b'postag:NN'
384 +-0.002713 Supp b'-1:lemma:,'
385 +-0.002713 Supp b'-1:postag:,'
386 +-0.002864 O b'-1:lemma:rpob'
387 +-0.004052 Gtype b'+1:lemma:-rrb-'
388 +-0.005593 O b'lemma:%'
389 +-0.005800 Supp b'+1:lemma:of'
390 +-0.006031 O b'-1:postag:-RRB-'
391 +-0.006630 Supp b'lemma:and'
392 +-0.008960 O b'+1:lemma:5'
393 +-0.009041 Gtype b'-1:lemma:mg1655'
394 +-0.010663 O b'+1:lemma:-lrb-'
395 +-0.011765 O b'+1:lemma:for'
396 +-0.012164 Gtype b'+1:postag:CD'
397 +-0.013897 Supp b'-1:lemma:dpd'
398 +-0.017334 Gtype b'-1:postag:NN'
399 +-0.017694 Gtype b'postag:VBG'
400 +-0.017980 O b'lemma:dissolve'
401 +-0.019810 O b'+1:lemma:co2'
402 +-0.022198 Supp b'-1:lemma:10'
403 +-0.025394 Med b'-1:postag:NN'
404 +-0.025755 Air b'-1:postag:CC'
405 +-0.043211 Supp b'-1:lemma:.'
406 +-0.043211 Supp b'-1:postag:.'
407 +-0.051959 O b'-1:lemma:g/l'
408 +-0.055702 O b'-1:lemma:with'
409 +-0.063942 Supp b'lemma:mm'
410 +-0.068985 Technique b'postag:NN'
411 +-0.073087 Air b'postag:CD'
412 +-0.077219 O b'lemma:1m'
413 +-0.080485 O b'-1:lemma:~'
414 +-0.085050 O b'+1:lemma:-rrb-'
415 +-0.092426 Supp b'-1:lemma:;'
416 +-0.092628 Gtype b'-1:postag:CD'
417 +-0.096816 Gtype b'postag:CD'
418 +-0.119110 O b'lemma:aerobic'
419 +-0.126644 O b'-1:lemma:of'
420 +-0.131761 Supp b'-1:postag:NN'
421 +-0.134231 Phase b'-1:lemma:at'
422 +-0.136658 O b'+1:lemma:%'
423 +-0.141146 O b'-1:lemma:iptg'
424 +-0.144992 O b'+1:lemma:ph'
425 +-0.157744 Phase b'+1:postag:NN'
426 +-0.157765 Anti b'+1:postag:JJ'
427 +-0.163999 O b'lemma:wt'
428 +-0.189704 O b'+1:lemma:fnr'
429 +-0.198314 Gversion b'+1:postag:NN'
430 +-0.216819 Technique b'-1:lemma::'
431 +-0.221198 O b'-1:lemma:from'
432 +-0.226083 Med b'postag:CD'
433 +-0.230714 O b'-1:lemma:until'
434 +-0.237769 Supp b'postag:NN'
435 +-0.242723 O b'-1:lemma:m'
436 +-0.263854 O b'-1:lemma:1m'
437 +-0.266928 O b'+1:postag:-LRB-'
438 +-0.269887 O b'lemma:od600'
439 +-0.286157 Supp b'postag:CD'
440 +-0.303058 Supp b'lemma:10'
441 +-0.318379 O b'lemma:37'
442 +-0.338883 O b'lemma:medium'
443 +-0.349993 Supp b'postag:CC'
444 +-0.363924 Gtype b'+1:lemma:-lrb-'
445 +-0.367167 O b'+1:lemma:.'
446 +-0.367167 O b'+1:postag:.'
447 +-0.369526 O b'-1:postag:IN'
448 +-0.374776 O b'-1:lemma:-lrb-'
449 +-0.396666 O b'lemma:minimal'
450 +-0.401132 Supp b'+1:lemma:nacl'
451 +-0.401200 O b'lemma:20'
452 +-0.413658 O b'+1:lemma:+'
453 +-0.420906 O b'+1:lemma:supplement'
454 +-0.422140 O b'-1:lemma:37'
455 +-0.449399 O b'-1:lemma:final'
456 +-0.475371 Supp b'+1:lemma:rifampicin'
457 +-0.479924 O b'-1:postag:-LRB-'
458 +-0.482195 Med b'+1:postag:NN'
459 +-0.502676 Med b'-1:postag:IN'
460 +-0.510386 O b'lemma:aerobically'
461 +-0.534746 O b'lemma:ph'
462 +-0.537042 Supp b'+1:lemma:dpd'
463 +-0.553037 O b'lemma:\xe2\x88\x86'
464 +-0.562667 Supp b'+1:lemma:fructose'
465 +-0.579922 O b'+1:postag:-RRB-'
466 +-0.590146 Air b'-1:lemma:or'
467 +-0.593093 O b'lemma:mid-log'
468 +-0.607111 O b'-1:lemma:n2'
469 +-0.610949 Supp b'-1:lemma:-lrb-'
470 +-0.623891 O b'-1:lemma:cra'
471 +-0.632807 pH b'postag:NN'
472 +-0.636218 O b'lemma:nitrogen'
473 +-0.650697 Technique b'-1:postag::'
474 +-0.667765 Supp b'-1:postag:-LRB-'
475 +-0.674159 O b'+1:lemma:2.0'
476 +-0.694197 O b'-1:lemma:co2'
477 +-0.701703 O b'-1:lemma:ml'
478 +-0.713992 O b'-1:lemma:\xe2\x88\x86'
479 +-0.749394 O b'-1:lemma:mm'
480 +-0.789720 O b'lemma:2h'
481 +-0.789720 O b'-1:lemma:additional'
482 +-0.820603 O b'+1:lemma:until'
483 +-0.839385 O b'lemma:methanol'
484 +-0.843808 O b'lemma:anaerobically'
485 +-0.860222 O b'-1:lemma:delta'
486 +-0.871696 O b'+1:lemma:1m'
487 +-0.880227 O b'+1:postag:IN'
488 +-0.923850 Supp b'+1:postag:VBN'
489 +-0.934662 Supp b'+1:lemma:acetate'
490 +-0.987240 O b'+1:lemma:g/l'
491 +-0.987424 O b'-1:postag::'
492 +-1.031889 O b'lemma:media'
493 +-1.050292 O b'-1:lemma:dissolve'
494 +-1.050292 O b'+1:lemma:methanol'
495 +-1.063258 O b'+1:lemma:at'
496 +-1.121215 O b'-1:lemma:ph'
497 +-1.124241 Supp b'-1:postag:NNP'
498 +-1.124243 O b'-1:lemma:nsrr'
499 +-1.178115 Anti b'postag:NNP'
500 +-1.210563 O b'lemma:of'
501 +-1.231717 O b'+1:lemma:mm'
502 +-1.234806 Air b'postag:NN'
503 +-1.361331 Air b'+1:postag:JJ'
504 +-1.388315 O b'+1:postag:VBG'
505 +-1.395520 O b'postag:VBP'
506 +-1.437329 Temp b'postag:NN'
507 +-1.497705 O b'-1:lemma:30'
508 +-1.515627 Phase b'-1:postag:JJ'
509 +-1.587348 O b'-1:lemma:fresh'
510 +-1.648330 O b'-1:lemma:sample'
511 +-1.699219 Supp b'+1:lemma:-lrb-'
512 +-1.725672 O b'+1:lemma:1'
513 +-1.740394 O b'lemma:30'
514 +-1.747868 Supp b'+1:postag:-LRB-'
515 +-1.758948 O b'-1:lemma:IP'
516 +-1.840034 Supp b'+1:lemma:,'
517 +-1.840034 Supp b'+1:postag:,'
518 +-1.883643 Phase b'postag:JJ'
519 +-1.897236 O b'-1:lemma:2'
520 +-1.932081 OD b'+1:postag:NN'
521 +-1.999100 O b'lemma:rifampicin'
522 +-2.008414 O b'+1:lemma:in'
523 +-2.134731 O b'-1:lemma:1'
524 +-2.149272 Supp b'postag:JJ'
525 +-2.244551 O b'lemma:0.3'
526 +-2.273539 O b'+1:lemma:2'
527 +-2.385609 O b'-1:postag:VBG'
528 +-2.393117 O b'-1:lemma:vol'
529 +-2.614797 Temp b'+1:postag:IN'
530 +-4.634459 O b'-1:lemma:_'
531 +-4.978327 O b'-1:lemma::'
532 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.14843910146742284, 'c2': 0.03226312504680252}
5 +best CV score:0.8612823170568367
6 +model size: 0.07M
7 +
8 +Flat F1: 0.7860849079440478
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 0.955 0.913 0.933 23
14 + Med 1.000 0.925 0.961 53
15 + Temp 1.000 0.690 0.816 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.875 0.933 0.903 15
19 + Air 0.543 0.362 0.435 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.878 0.847 0.862 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.731 0.791 0.760 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.819 0.765 0.786 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 5.530931
32 +Agit -> Agit 5.252892
33 +Med -> Med 5.060058
34 +OD -> OD 5.010656
35 +Supp -> Supp 4.868977
36 +Anti -> Anti 4.778087
37 +Phase -> Phase 4.545953
38 +Gtype -> Gtype 4.505488
39 +O -> O 4.397808
40 +Air -> Air 4.207182
41 +Gversion -> Gversion 4.184434
42 +Technique -> Technique 3.303412
43 +pH -> pH 2.824139
44 +Gtype -> Supp 1.667731
45 +O -> Supp 1.652196
46 +Substrain -> Gtype 1.583082
47 +Air -> O 1.417656
48 +O -> Technique 1.331982
49 +O -> Gtype 1.241437
50 +Gtype -> Air 0.970767
51 +O -> Temp 0.956558
52 +Technique -> Air 0.825884
53 +Supp -> O 0.782386
54 +Gtype -> pH 0.768653
55 +Med -> O 0.684439
56 +Temp -> O 0.624874
57 +O -> Anti 0.553272
58 +O -> Phase 0.459901
59 +O -> Gversion 0.367975
60 +Strain -> O 0.312627
61 +O -> Med 0.232469
62 +Phase -> O 0.226758
63 +OD -> O 0.226193
64 +O -> OD 0.174193
65 +O -> pH 0.160341
66 +Anti -> O 0.049474
67 +Phase -> Supp -0.001306
68 +Anti -> Gtype -0.002165
69 +Anti -> Med -0.020656
70 +Temp -> Med -0.024123
71 +Supp -> Technique -0.033921
72 +Phase -> Technique -0.039561
73 +Supp -> Gtype -0.050932
74 +Gtype -> Technique -0.103217
75 +Gtype -> O -0.123668
76 +Supp -> Air -0.177566
77 +Gtype -> Gversion -0.243460
78 +Air -> Phase -0.247860
79 +Technique -> OD -0.306784
80 +Gtype -> Anti -0.344939
81 +
82 +
83 +Top unlikely transitions:
84 +Air -> Air 4.207182
85 +Gversion -> Gversion 4.184434
86 +Technique -> Technique 3.303412
87 +pH -> pH 2.824139
88 +Gtype -> Supp 1.667731
89 +O -> Supp 1.652196
90 +Substrain -> Gtype 1.583082
91 +Air -> O 1.417656
92 +O -> Technique 1.331982
93 +O -> Gtype 1.241437
94 +Gtype -> Air 0.970767
95 +O -> Temp 0.956558
96 +Technique -> Air 0.825884
97 +Supp -> O 0.782386
98 +Gtype -> pH 0.768653
99 +Med -> O 0.684439
100 +Temp -> O 0.624874
101 +O -> Anti 0.553272
102 +O -> Phase 0.459901
103 +O -> Gversion 0.367975
104 +Strain -> O 0.312627
105 +O -> Med 0.232469
106 +Phase -> O 0.226758
107 +OD -> O 0.226193
108 +O -> OD 0.174193
109 +O -> pH 0.160341
110 +Anti -> O 0.049474
111 +Phase -> Supp -0.001306
112 +Anti -> Gtype -0.002165
113 +Anti -> Med -0.020656
114 +Temp -> Med -0.024123
115 +Supp -> Technique -0.033921
116 +Phase -> Technique -0.039561
117 +Supp -> Gtype -0.050932
118 +Gtype -> Technique -0.103217
119 +Gtype -> O -0.123668
120 +Supp -> Air -0.177566
121 +Gtype -> Gversion -0.243460
122 +Air -> Phase -0.247860
123 +Technique -> OD -0.306784
124 +Gtype -> Anti -0.344939
125 +O -> Air -0.501788
126 +Supp -> Med -0.605352
127 +OD -> Air -0.613240
128 +Technique -> pH -0.690682
129 +Gtype -> Med -0.722078
130 +Phase -> OD -0.801917
131 +Technique -> Gtype -1.071131
132 +Substrain -> O -1.244706
133 +Med -> Supp -1.620782
134 +
135 +
136 +Top positive:
137 +7.616993 O b'lemma:_'
138 +6.105092 Supp b'lemma:Iron'
139 +6.103829 Air b'lemma:anaerobic'
140 +5.778936 O b'lemma:2'
141 +5.395636 Technique b'lemma:ChIP-exo'
142 +5.204401 O b'lemma:1'
143 +5.144386 Supp b'lemma:pq'
144 +5.103835 Phase b'lemma:mid-log'
145 +5.083193 Air b'lemma:Aerobic'
146 +5.031561 Technique b'lemma:chipseq'
147 +5.005363 Gtype b'lemma:wt'
148 +4.790043 O b'postag:IN'
149 +4.685173 O b'lemma:3'
150 +4.622144 Gtype b'lemma:\xce\xb4cra'
151 +4.524605 Air b'lemma:aerobic'
152 +4.365549 O b'lemma:rpob'
153 +4.310154 O b'lemma:-'
154 +4.272698 Gtype b'lemma:wild-type'
155 +4.264401 Phase b'lemma:exponential'
156 +4.264401 Phase b'lemma:stationary'
157 +4.248629 Gversion b'lemma:asm584v2'
158 +4.178525 Supp b'+1:lemma:\xc2\xb5m'
159 +4.162767 Supp b'lemma:glucose'
160 +4.086811 O b'lemma:b'
161 +4.074447 O b'lemma:Cra'
162 +4.061821 Gtype b'lemma:flag-tag'
163 +4.061821 Gtype b'-1:lemma:c-terminal'
164 +4.047125 O b'-1:lemma:tag'
165 +4.029539 Med b'lemma:MOPS'
166 +4.012096 Air b'-1:lemma:ChIP-Seq'
167 +3.859049 Strain b'+1:lemma:substr'
168 +3.808960 Gtype b'lemma:type'
169 +3.796393 Gtype b'lemma:arca8myc'
170 +3.770798 Gtype b'+1:lemma:type'
171 +3.739682 Substrain b'lemma:mg1655'
172 +3.729115 O b'postag::'
173 +3.712923 Supp b'lemma:acetate'
174 +3.671833 O b'lemma:a'
175 +3.624682 O b'postag:CC'
176 +3.612738 Technique b'lemma:rna-seq'
177 +3.596048 Gtype b'lemma:\xe2\x88\x86'
178 +3.593479 O b'lemma:rep1'
179 +3.583965 Supp b'lemma:nh4cl'
180 +3.580142 O b'-1:lemma:ChIP-exo'
181 +3.553131 Supp b'lemma:nacl'
182 +3.491025 Strain b'lemma:k-12'
183 +3.486896 Gversion b'lemma:nc'
184 +3.433417 Med b'lemma:lb'
185 +3.397151 O b'lemma:Custom'
186 +3.387581 O b'lemma:rep3'
187 +3.356308 O b'lemma:.'
188 +3.356308 O b'postag:.'
189 +3.347331 Gtype b'-1:lemma:\xe2\x88\x86'
190 +3.332260 O b'postag:VBN'
191 +3.317828 Technique b'lemma:chip-seq'
192 +3.289766 Technique b'lemma:rnaseq'
193 +3.273328 Supp b'lemma:rifampicin'
194 +3.260083 Air b'postag:RB'
195 +3.239788 O b'lemma:\xcf\x8332'
196 +3.184025 Supp b'lemma:no3'
197 +3.179953 Supp b'-1:lemma:with'
198 +3.167149 Gtype b'lemma:fnr8myc'
199 +3.116958 Supp b'lemma:nitrate'
200 +3.090571 Gtype b'+1:lemma:ph5'
201 +3.048182 O b'lemma:rep2'
202 +3.022284 Gtype b'lemma:\xce\xb4fur'
203 +3.020572 Supp b'-1:lemma:Cra'
204 +2.950744 O b'-1:lemma:type'
205 +2.942210 Supp b'lemma:dpd'
206 +2.937225 Technique b'lemma:ChIP-Seq'
207 +2.936793 Gtype b'lemma:\xce\xb4soxr'
208 +2.927620 Gtype b'lemma:delta-fnr'
209 +2.925981 O b'-1:lemma:lb'
210 +2.918937 Gtype b'lemma:dfnr'
211 +2.900745 Anti b'lemma:none'
212 +2.897719 Gtype b'+1:lemma:with'
213 +2.890673 O b'+1:lemma:pq'
214 +2.880633 Agit b'+1:lemma:rpm'
215 +2.873201 O b'lemma:CEL'
216 +2.867468 Agit b'lemma:rpm'
217 +2.840511 Air b'-1:lemma:-'
218 +2.820801 Technique b'-1:lemma:IP'
219 +2.805716 Anti b'lemma:\xcf\x8332'
220 +2.773458 O b'lemma:ompr'
221 +2.771820 Med b'-1:lemma:ml'
222 +2.757736 Supp b'lemma:Leu'
223 +2.751066 O b'lemma:chip'
224 +2.746879 Med b'+1:lemma:0.4'
225 +2.739214 O b'lemma:with'
226 +2.708793 Gversion b'-1:lemma:nc'
227 +2.677018 Gtype b'lemma:nsrr'
228 +2.670707 Anti b'lemma:seqa'
229 +2.659020 O b'-1:lemma:glucose'
230 +2.657995 Air b'lemma:anaeroibc'
231 +2.657818 Supp b'+1:lemma:Deficient'
232 +2.656948 O b'-1:lemma:0.3'
233 +2.632783 Supp b'-1:lemma:vol'
234 +2.623222 Supp b'-1:lemma:+'
235 +2.618308 Med b'lemma:m63'
236 +2.613887 Gtype b'lemma:pk4854'
237 +2.602756 Anti b'+1:lemma:antibody'
238 +2.584538 Gversion b'lemma:chip-seq'
239 +2.544864 Gversion b'lemma:u00096'
240 +2.544864 Gversion b'+1:lemma:.2'
241 +2.544234 Air b'lemma:anaerobically'
242 +2.544093 O b'postag:VBG'
243 +2.528939 Gtype b'-1:lemma:ptac'
244 +2.520188 Gtype b'lemma:delta-arca'
245 +2.516132 Gversion b'lemma:000913'
246 +2.509681 Vess b'lemma:flask'
247 +2.509681 Vess b'-1:lemma:warm'
248 +2.499520 Supp b'lemma:Fe'
249 +2.491894 Substrain b'+1:lemma:phtpg'
250 +2.487911 O b'-1:lemma:Aerobic'
251 +2.475312 Temp b'-1:lemma:43'
252 +2.473537 Phase b'-1:lemma:mid-log'
253 +2.445140 pH b'+1:postag:CD'
254 +2.435584 O b'-1:lemma:stpa'
255 +2.432404 O b'+1:lemma:coli'
256 +2.392472 Technique b'-1:lemma:chip-exo'
257 +2.379148 Air b'lemma:aerobically'
258 +2.378189 Gversion b'lemma:.2'
259 +2.378189 Gversion b'-1:lemma:u00096'
260 +2.373909 Med b'lemma:media'
261 +2.372719 Temp b'lemma:\xc2\xb0c'
262 +2.370280 O b'lemma:affyexp'
263 +2.367475 Supp b'lemma:fructose'
264 +2.367118 pH b'lemma:ph5'
265 +2.367118 pH b'+1:lemma:.5'
266 +2.365883 O b'lemma:harbor'
267 +2.365510 Gtype b'+1:lemma:_'
268 +2.364550 O b'lemma:chip-arca'
269 +2.364293 Supp b'+1:lemma:1'
270 +2.351215 Supp b'lemma:arginine'
271 +2.338576 O b'+1:lemma:od600'
272 +2.338214 Phase b'lemma:phase'
273 +2.325110 O b'lemma:s'
274 +2.324133 Supp b'+1:lemma:mm'
275 +2.321311 Gtype b'+1:lemma:pq'
276 +2.296132 Supp b'-1:lemma:sodium'
277 +2.261992 Temp b'-1:lemma:\xcf\x8332'
278 +2.260351 Substrain b'lemma:mg1655star'
279 +2.248740 Gtype b'lemma:WT'
280 +2.246446 Supp b'lemma:Adenine'
281 +2.241646 Temp b'+1:lemma:in'
282 +2.224289 Anti b'lemma:anti-myc'
283 +2.211744 Med b'lemma:broth'
284 +2.211744 Med b'-1:lemma:L'
285 +2.206966 O b'+1:lemma:arca-8myc'
286 +2.206282 Med b'+1:lemma:2.0'
287 +2.189025 Med b'lemma:L'
288 +2.189025 Med b'+1:lemma:broth'
289 +2.156370 Air b'lemma:Anaerobic'
290 +2.151046 Temp b'lemma:43'
291 +2.123118 Temp b'+1:lemma:\xc2\xb0c'
292 +2.116886 Gtype b'lemma:\xce\xb4oxyr'
293 +2.111247 O b'-1:lemma:0.3-0.35'
294 +2.110756 Gtype b'lemma:\xce\xb4ompr'
295 +2.098031 O b'+1:lemma:250'
296 +2.072829 OD b'lemma:od450'
297 +2.054078 O b'-1:lemma:l1'
298 +2.027132 O b'postag:DT'
299 +2.020949 Technique b'+1:lemma:chip-exo'
300 +2.012421 Med b'lemma:minimal'
301 +2.004375 Gtype b'+1:lemma:flagtag'
302 +1.990269 O b'-1:lemma:\xc2\xb0c'
303 +1.950886 O b'+1:postag:RB'
304 +1.941939 Supp b'+1:lemma:2'
305 +1.933357 O b'lemma:culture'
306 +1.927257 O b'-1:lemma:anaerobic'
307 +1.918285 O b'+1:lemma:mid-log'
308 +1.906662 O b'postag:NNS'
309 +1.903182 Gtype b'lemma:deltaseqa'
310 +1.903182 Gtype b'-1:lemma:old'
311 +1.889101 Gtype b'lemma:ptac'
312 +1.886365 Gtype b'-1:postag:VBG'
313 +1.879594 O b'+1:lemma:chip-seq'
314 +1.877669 O b'lemma:contain'
315 +1.875514 O b'lemma:ml'
316 +1.873847 O b'+1:lemma:43'
317 +1.872843 O b'lemma:genotype/variation'
318 +1.866446 O b'lemma:soxs'
319 +1.866446 O b'lemma:soxr'
320 +1.865566 Gversion b'lemma:_'
321 +1.858956 Temp b'-1:lemma:sample'
322 +1.836548 O b'+1:postag:NNP'
323 +1.835787 O b'lemma::'
324 +1.805360 Technique b'-1:lemma:rna-seq'
325 +1.803739 O b'-1:lemma:into'
326 +1.801193 Supp b'-1:lemma:mm'
327 +1.798395 Temp b'lemma:37'
328 +1.798227 Technique b'-1:lemma:_'
329 +1.796930 Gtype b'-1:lemma:rpob'
330 +1.786304 Air b'-1:postag::'
331 +1.781423 Med b'+1:lemma:+'
332 +1.773280 Supp b'-1:lemma:\xc2\xb5m'
333 +1.770143 O b'-1:lemma:phase'
334 +1.766358 Temp b'-1:lemma:37'
335 +1.764495 O b'lemma:condition'
336 +1.753857 O b'lemma:argr'
337 +
338 +
339 +Top negative:
340 +0.000080 Gtype b'+1:lemma:-rcb-'
341 +0.000058 O b"lemma:'s"
342 +0.000058 O b'postag:POS'
343 +0.000058 O b'-1:lemma:manufacturer'
344 +0.000058 O b'+1:lemma:instruction'
345 +0.000036 O b'-1:lemma:0.1'
346 +0.000003 Air b'+1:lemma:n2'
347 +0.000003 O b'-1:lemma:4'
348 +-0.000081 O b'+1:lemma:1/100'
349 +-0.000104 O b'+1:lemma:m'
350 +-0.000105 O b'-1:lemma:phosphate'
351 +-0.000227 O b'-1:lemma:0.2'
352 +-0.000342 O b'-1:lemma:with'
353 +-0.000398 Gversion b'-1:postag:NN'
354 +-0.000464 O b'lemma:%'
355 +-0.001787 O b'lemma:7.6'
356 +-0.001787 O b'+1:lemma:;'
357 +-0.002156 Med b'-1:postag:CD'
358 +-0.002253 O b'lemma:;'
359 +-0.002253 O b'-1:lemma:7.6'
360 +-0.002551 O b'+1:lemma:c'
361 +-0.002951 O b'+1:lemma:gadw'
362 +-0.004097 O b'+1:lemma:gade'
363 +-0.008822 Gtype b'+1:postag:CD'
364 +-0.009586 Med b'postag:JJ'
365 +-0.010831 Agit b'-1:postag:NN'
366 +-0.013524 O b'+1:lemma:antibody'
367 +-0.014706 Anti b'+1:postag:JJ'
368 +-0.015602 Supp b'-1:postag:VBN'
369 +-0.020869 O b'-1:postag:DT'
370 +-0.021186 Gtype b'+1:lemma:\xe2\x88\x86'
371 +-0.025812 OD b'postag:NN'
372 +-0.032647 Gtype b'-1:postag:NNP'
373 +-0.035397 O b'lemma:1m'
374 +-0.038554 O b'+1:lemma:rep2'
375 +-0.041306 Gtype b'-1:postag:NN'
376 +-0.042250 O b'+1:lemma:95'
377 +-0.042668 O b'-1:lemma:contain'
378 +-0.044065 Supp b'-1:lemma:.'
379 +-0.044065 Supp b'-1:postag:.'
380 +-0.055911 Supp b'postag:NN'
381 +-0.056075 O b'lemma:anaerobic'
382 +-0.061212 Agit b'postag:NN'
383 +-0.062946 Supp b'-1:lemma:;'
384 +-0.069294 O b'+1:lemma:%'
385 +-0.071027 O b'+1:lemma:~'
386 +-0.078046 O b'+1:lemma:Aerobic'
387 +-0.079728 O b'lemma:m'
388 +-0.082704 O b'-1:lemma:250'
389 +-0.083986 O b'lemma:150'
390 +-0.083986 O b'+1:lemma:mg/ml'
391 +-0.093290 Gtype b'postag:CD'
392 +-0.098235 Temp b'postag:JJ'
393 +-0.102223 Supp b'+1:postag:NNS'
394 +-0.108761 O b'-1:lemma:of'
395 +-0.112579 O b'lemma:nitrate'
396 +-0.112840 O b'+1:lemma:-rrb-'
397 +-0.114513 O b'-1:lemma:~'
398 +-0.115788 Supp b'+1:postag:-RRB-'
399 +-0.126267 Gtype b'+1:lemma:-rrb-'
400 +-0.133344 O b'-1:lemma:chip-exo'
401 +-0.133967 O b'+1:lemma:arginine'
402 +-0.142732 Air b'postag:CD'
403 +-0.146065 O b'-1:lemma:the'
404 +-0.160763 Supp b'postag:CD'
405 +-0.162843 O b'+1:lemma:for'
406 +-0.169917 Gtype b'-1:lemma:mg1655'
407 +-0.174714 Gversion b'+1:postag:NN'
408 +-0.177235 O b'lemma:dissolve'
409 +-0.186720 Air b'-1:postag:JJ'
410 +-0.197341 Supp b'+1:lemma:glucose'
411 +-0.197861 O b'lemma:fructose'
412 +-0.199130 Med b'+1:postag:IN'
413 +-0.212273 Supp b'lemma:mm'
414 +-0.221938 O b'lemma:soxs-8myc'
415 +-0.223055 O b'lemma:nh4cl'
416 +-0.233773 Phase b'-1:lemma:at'
417 +-0.236512 Gtype b'-1:postag:CD'
418 +-0.242620 Technique b'-1:lemma::'
419 +-0.244933 O b'+1:lemma:ph'
420 +-0.246714 O b'lemma:medium'
421 +-0.248246 O b'+1:postag:-LRB-'
422 +-0.257991 O b'-1:lemma:from'
423 +-0.261029 O b'+1:lemma:.'
424 +-0.261029 O b'+1:postag:.'
425 +-0.263252 Med b'-1:postag:NN'
426 +-0.265835 Supp b'-1:lemma:dpd'
427 +-0.268481 O b'lemma:\xe2\x88\x86'
428 +-0.270497 Med b'postag:CD'
429 +-0.275308 O b'lemma:m63'
430 +-0.280878 O b'+1:lemma:_'
431 +-0.290836 O b'lemma:c'
432 +-0.297682 Gtype b'lemma:control'
433 +-0.298656 O b'lemma:oxyr-8myc'
434 +-0.301488 O b'-1:lemma:-lrb-'
435 +-0.302521 Supp b'lemma:10'
436 +-0.313280 O b'-1:lemma:g/l'
437 +-0.314256 Temp b'-1:lemma:\xc2\xb0c'
438 +-0.320715 O b'-1:lemma:cra'
439 +-0.339495 O b'lemma:od600'
440 +-0.344406 O b'lemma:37'
441 +-0.344682 O b'lemma:purify'
442 +-0.346138 O b'lemma:k-12'
443 +-0.356822 O b'lemma:20'
444 +-0.371207 Med b'+1:postag:NN'
445 +-0.380751 O b'-1:lemma:1m'
446 +-0.381781 O b'+1:lemma:fnr'
447 +-0.384037 Supp b'postag:CC'
448 +-0.394501 Phase b'+1:postag:NN'
449 +-0.399220 O b'-1:postag:-LRB-'
450 +-0.413224 Air b'-1:lemma:or'
451 +-0.419362 O b'-1:lemma:iptg'
452 +-0.424394 O b'-1:lemma:m'
453 +-0.428528 O b'-1:lemma:37'
454 +-0.428627 O b'-1:postag:IN'
455 +-0.429204 Supp b'+1:lemma:dpd'
456 +-0.431781 Supp b'+1:lemma:nacl'
457 +-0.443043 Supp b'+1:lemma:rifampicin'
458 +-0.443466 O b'lemma:minimal'
459 +-0.507877 O b'-1:lemma:n2'
460 +-0.508911 Anti b'+1:lemma:anti-fur'
461 +-0.509943 Gtype b'+1:lemma:-lrb-'
462 +-0.514268 O b'+1:postag:IN'
463 +-0.520329 Phase b'postag:JJ'
464 +-0.539205 O b'lemma:ph'
465 +-0.579756 Supp b'-1:lemma:-lrb-'
466 +-0.580872 Supp b'+1:postag:VBN'
467 +-0.593989 Technique b'-1:postag::'
468 +-0.601568 O b'-1:lemma:final'
469 +-0.601806 O b'+1:lemma:supplement'
470 +-0.607385 pH b'postag:NN'
471 +-0.616692 Med b'-1:postag:IN'
472 +-0.619922 O b'lemma:mid-log'
473 +-0.636160 Supp b'-1:postag:-LRB-'
474 +-0.639809 O b'-1:lemma:dfnr'
475 +-0.664912 O b'+1:postag:-RRB-'
476 +-0.668954 O b'lemma:aerobically'
477 +-0.675066 Supp b'-1:postag:NNP'
478 +-0.687148 O b'-1:lemma:mm'
479 +-0.708508 O b'+1:lemma:until'
480 +-0.783735 O b'-1:postag::'
481 +-0.785090 Gtype b'postag:VBG'
482 +-0.800517 O b'-1:lemma:\xe2\x88\x86'
483 +-0.823546 O b'lemma:wt'
484 +-0.853934 O b'lemma:anaerobically'
485 +-0.856870 O b'-1:lemma:until'
486 +-0.876446 O b'-1:lemma:delta'
487 +-0.913178 O b'-1:lemma:co2'
488 +-0.927211 O b'+1:lemma:1m'
489 +-0.944621 Supp b'+1:lemma:acetate'
490 +-0.951325 O b'lemma:methanol'
491 +-0.963142 O b'lemma:aerobic'
492 +-0.977606 Supp b'+1:lemma:fructose'
493 +-0.979652 O b'lemma:nitrogen'
494 +-1.005488 O b'+1:lemma:g/l'
495 +-1.033787 O b'+1:lemma:at'
496 +-1.033823 O b'-1:lemma:rpob'
497 +-1.043256 O b'lemma:2h'
498 +-1.043256 O b'-1:lemma:additional'
499 +-1.063486 O b'+1:lemma:2.0'
500 +-1.064526 O b'lemma:media'
501 +-1.081067 O b'+1:postag:VBG'
502 +-1.106410 O b'-1:lemma:dissolve'
503 +-1.106410 O b'+1:lemma:methanol'
504 +-1.110835 Temp b'postag:NN'
505 +-1.163232 O b'lemma:\xce\xb4fur'
506 +-1.176341 Air b'postag:NN'
507 +-1.224656 O b'-1:lemma:ph'
508 +-1.256518 O b'lemma:of'
509 +-1.275712 Temp b'+1:postag:IN'
510 +-1.278051 O b'postag:VBP'
511 +-1.280734 O b'lemma:30'
512 +-1.283875 Air b'+1:postag:JJ'
513 +-1.295409 O b'-1:lemma:30'
514 +-1.304660 O b'+1:lemma:+'
515 +-1.311794 O b'-1:lemma:1'
516 +-1.371031 O b'-1:lemma:nsrr'
517 +-1.376731 O b'-1:lemma:fresh'
518 +-1.379175 O b'-1:lemma:ml'
519 +-1.408674 O b'-1:lemma:sample'
520 +-1.445343 Anti b'postag:NNP'
521 +-1.459575 Supp b'+1:lemma:-lrb-'
522 +-1.506932 O b'+1:lemma:mm'
523 +-1.510376 Supp b'+1:postag:-LRB-'
524 +-1.529217 Supp b'postag:JJ'
525 +-1.624777 Supp b'+1:lemma:,'
526 +-1.624777 Supp b'+1:postag:,'
527 +-1.649260 Phase b'-1:postag:JJ'
528 +-1.668731 O b'+1:lemma:in'
529 +-1.717464 O b'lemma:0.3'
530 +-1.719606 OD b'+1:postag:NN'
531 +-1.847089 O b'-1:lemma:2'
532 +-1.871052 O b'lemma:rifampicin'
533 +-1.883719 O b'+1:lemma:1'
534 +-1.954580 O b'-1:postag:VBG'
535 +-2.049608 O b'-1:lemma:IP'
536 +-2.191282 O b'-1:lemma:vol'
537 +-2.323780 O b'+1:lemma:2'
538 +-3.283742 O b'-1:lemma:_'
539 +-3.922389 O b'-1:lemma::'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.1779311060486324, 'c2': 0.0005619148999585256}
5 +best CV score:0.8815860410516979
6 +model size: 0.07M
7 +
8 +Flat F1: 0.7874835473429163
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 0.913 0.955 23
14 + Med 1.000 0.962 0.981 53
15 + Temp 1.000 0.931 0.964 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.882 1.000 0.938 15
19 + Air 0.543 0.362 0.435 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.893 0.788 0.837 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.677 0.799 0.733 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.808 0.778 0.787 451
28 +
29 +
30 +Top likely transitions:
31 +Agit -> Agit 7.599672
32 +Temp -> Temp 6.866268
33 +OD -> OD 6.223914
34 +Med -> Med 6.223896
35 +Anti -> Anti 5.733249
36 +Supp -> Supp 5.501969
37 +Phase -> Phase 5.255937
38 +Air -> Air 5.242444
39 +Gversion -> Gversion 4.759517
40 +Technique -> Technique 4.572796
41 +Gtype -> Gtype 4.408618
42 +pH -> pH 4.148766
43 +O -> O 3.770155
44 +O -> Technique 1.394833
45 +Air -> O 0.934701
46 +O -> Supp 0.603143
47 +Gtype -> Supp 0.602203
48 +O -> Temp 0.531294
49 +O -> Gtype 0.244043
50 +Substrain -> Gtype 0.178777
51 +Temp -> O 0.116666
52 +O -> Anti 0.073374
53 +Technique -> Air 0.057205
54 +O -> Phase 0.016593
55 +Med -> O 0.014656
56 +O -> OD 0.003771
57 +O -> pH 0.001976
58 +Anti -> O -0.000356
59 +Phase -> O -0.013827
60 +Supp -> O -0.037801
61 +Gversion -> O -0.118955
62 +OD -> O -0.146201
63 +Air -> Temp -0.162047
64 +O -> Med -0.221356
65 +Gtype -> Anti -0.235366
66 +OD -> Air -0.430187
67 +Technique -> O -0.658505
68 +Supp -> Med -0.680587
69 +O -> Air -1.100972
70 +Gtype -> O -1.334900
71 +Med -> Supp -1.533125
72 +Substrain -> O -2.088700
73 +
74 +
75 +Top unlikely transitions:
76 +Agit -> Agit 7.599672
77 +Temp -> Temp 6.866268
78 +OD -> OD 6.223914
79 +Med -> Med 6.223896
80 +Anti -> Anti 5.733249
81 +Supp -> Supp 5.501969
82 +Phase -> Phase 5.255937
83 +Air -> Air 5.242444
84 +Gversion -> Gversion 4.759517
85 +Technique -> Technique 4.572796
86 +Gtype -> Gtype 4.408618
87 +pH -> pH 4.148766
88 +O -> O 3.770155
89 +O -> Technique 1.394833
90 +Air -> O 0.934701
91 +O -> Supp 0.603143
92 +Gtype -> Supp 0.602203
93 +O -> Temp 0.531294
94 +O -> Gtype 0.244043
95 +Substrain -> Gtype 0.178777
96 +Temp -> O 0.116666
97 +O -> Anti 0.073374
98 +Technique -> Air 0.057205
99 +O -> Phase 0.016593
100 +Med -> O 0.014656
101 +O -> OD 0.003771
102 +O -> pH 0.001976
103 +Anti -> O -0.000356
104 +Phase -> O -0.013827
105 +Supp -> O -0.037801
106 +Gversion -> O -0.118955
107 +OD -> O -0.146201
108 +Air -> Temp -0.162047
109 +O -> Med -0.221356
110 +Gtype -> Anti -0.235366
111 +OD -> Air -0.430187
112 +Technique -> O -0.658505
113 +Supp -> Med -0.680587
114 +O -> Air -1.100972
115 +Gtype -> O -1.334900
116 +Med -> Supp -1.533125
117 +Substrain -> O -2.088700
118 +
119 +
120 +Top positive:
121 +10.204453 Air b'word[:2]:Ae'
122 +7.959700 Strain b'+1:lemma:substr'
123 +7.931315 Gtype b'word[:1]:\xce\x94'
124 +7.211296 O b'lemma:2'
125 +6.951384 Technique b'word[:2]:Ch'
126 +6.897705 Air b'word[:2]:An'
127 +6.430948 O b'word[:2]:re'
128 +6.304459 Supp b'+1:lemma:\xc2\xb5m'
129 +6.277176 O b'lemma:3'
130 +6.259509 O b'-1:lemma:tag'
131 +5.784951 Phase b'lemma:stationary'
132 +5.680889 O b'lemma:1'
133 +5.565991 Air b'lemma:anaerobic'
134 +5.496150 O b'lemma:-'
135 +5.307683 Phase b'lemma:mid-log'
136 +5.051659 O b'lemma:a'
137 +4.964154 O b'+1:lemma:pq'
138 +4.949696 O b'lemma:with'
139 +4.849415 Gversion b'-1:lemma:nc'
140 +4.834323 Substrain b'word[:2]:MG'
141 +4.807181 O b'lemma:_'
142 +4.807181 O b'word[:1]:_'
143 +4.804254 Supp b'-1:lemma:Cra'
144 +4.759024 Gtype b'lemma:wt'
145 +4.715524 Supp b'lemma:Iron'
146 +4.715524 Supp b'word[:2]:Ir'
147 +4.706542 Supp b'lemma:arginine'
148 +4.646874 Supp b'-1:lemma:vol'
149 +4.197413 O b'word[:2]:Cr'
150 +4.195753 O b'-1:lemma:lb'
151 +4.181423 Gtype b'word[:2]:Fl'
152 +4.134022 OD b'word[:1]:O'
153 +4.052226 Med b'lemma:MOPS'
154 +4.052226 Med b'word[:2]:MO'
155 +4.022958 pH b'word[:2]:pH'
156 +3.975313 Temp b'-1:lemma:sample'
157 +3.962014 Gversion b'lemma:chip-seq'
158 +3.951951 Phase b'word[:2]:ex'
159 +3.931899 Supp b'-1:lemma:with'
160 +3.883643 Gtype b'lemma:arca8myc'
161 +3.879479 Supp b'word[:2]:ni'
162 +3.856134 Temp b'+1:lemma:in'
163 +3.810759 Gtype b'-1:lemma:\xe2\x88\x86'
164 +3.789132 Supp b'-1:lemma:+'
165 +3.786509 O b'word[:2]:ha'
166 +3.757509 Gtype b'word[:1]:d'
167 +3.684952 Supp b'lemma:nacl'
168 +3.663349 O b'word[:2]:Cu'
169 +3.647265 O b'word[:2]:ge'
170 +3.618268 Technique b'word[:2]:RN'
171 +3.420924 Med b'-1:lemma:ml'
172 +3.399171 O b'lemma:.'
173 +3.399171 O b'postag:.'
174 +3.399171 O b'postag[:1]:.'
175 +3.295302 O b'-1:lemma:0.3'
176 +3.233537 O b'-1:lemma:glucose'
177 +3.232228 Anti b'+1:lemma:antibody'
178 +3.166537 O b'word[:1]:B'
179 +3.151800 Gtype b'lemma:type'
180 +3.151800 Gtype b'word[:2]:ty'
181 +3.074513 Supp b'word[:1]:I'
182 +3.066493 O b'word[:1]:G'
183 +3.049541 O b'-1:lemma:into'
184 +2.995715 O b'word[:2]:Rp'
185 +2.974033 Temp b'-1:lemma:\xcf\x8332'
186 +2.939937 O b'lemma:delta'
187 +2.929545 O b'word[:1]:E'
188 +2.889138 Supp b'lemma:acetate'
189 +2.884567 O b'word[:1]:S'
190 +2.849582 Supp b'lemma:pq'
191 +2.849582 Supp b'word[:2]:PQ'
192 +2.796468 Med b'+1:lemma:0.4'
193 +2.748041 Gtype b'word[:2]:cr'
194 +2.715155 O b'postag::'
195 +2.715155 O b'postag[:1]::'
196 +2.711740 Gtype b'word[:1]:w'
197 +2.648443 O b'-1:lemma:0.3-0.35'
198 +2.642979 Temp b'-1:lemma:43'
199 +2.605602 Supp b'+1:lemma:1'
200 +2.584485 Med b'word[:1]:M'
201 +2.543511 Gtype b'lemma:nsrr'
202 +2.543511 Gtype b'word[:2]:Ns'
203 +2.528316 Supp b'+1:lemma:mm'
204 +2.526101 Gtype b'word[:1]:W'
205 +2.518551 Supp b'+1:lemma:2'
206 +2.493071 Technique b'lemma:ChIP-exo'
207 +2.492470 Gtype b'word[:2]:PK'
208 +2.417633 O b'lemma:ompr'
209 +2.417633 O b'word[:2]:Om'
210 +2.403384 O b'lemma:purr'
211 +2.399480 Air b'-1:lemma:ChIP-Seq'
212 +2.385701 Phase b'-1:lemma:until'
213 +2.383512 Gtype b'word[:1]:t'
214 +2.374150 Gtype b'-1:lemma:rpob'
215 +2.368626 O b'word[:1]:R'
216 +2.336211 Supp b'-1:lemma:final'
217 +2.331497 Gversion b'word[:2]:00'
218 +2.322056 O b'+1:lemma:od600'
219 +2.317008 O b'lemma:Custom'
220 +2.307666 Gversion b'lemma:asm584v2'
221 +2.307666 Gversion b'word[:2]:AS'
222 +2.305354 Med b'lemma:L'
223 +2.305354 Med b'+1:lemma:broth'
224 +2.285067 Supp b'lemma:sodium'
225 +2.270312 O b'postag:CC'
226 +2.270312 O b'postag[:2]:CC'
227 +2.257396 Air b'word[:1]:a'
228 +2.233372 Med b'+1:lemma:g/l'
229 +2.223950 Supp b'+1:lemma:phosphate'
230 +2.222780 O b'+1:lemma:mid-log'
231 +2.221972 O b'-1:lemma:type'
232 +2.203153 O b'word[:1]:C'
233 +2.199367 Med b'+1:lemma:2.0'
234 +2.195464 Gversion b'lemma:nc'
235 +2.195464 Gversion b'word[:2]:NC'
236 +2.192101 O b'+1:postag:RB'
237 +2.162744 O b'lemma:b'
238 +2.159358 Air b'-1:lemma:co2'
239 +2.157857 Supp b'+1:lemma:1m'
240 +2.150708 O b'-1:lemma:Aerobic'
241 +2.149348 Air b'+1:postag:IN'
242 +2.138880 Anti b'hGreek'
243 +2.137978 O b'+1:lemma:43'
244 +2.122867 O b'postag:IN'
245 +2.122867 O b'postag[:1]:I'
246 +2.122867 O b'postag[:2]:IN'
247 +2.118447 Supp b'word[:2]:Fe'
248 +2.105815 Anti b'word[:2]:an'
249 +2.075029 Supp b'+1:lemma:and'
250 +2.072990 Gtype b'symb'
251 +2.065880 O b'+1:postag:NNP'
252 +2.062690 O b'+1:lemma:250'
253 +2.020409 Gtype b'-1:postag:VBG'
254 +2.013701 Gtype b'lemma:flag-tag'
255 +2.013701 Gtype b'-1:lemma:c-terminal'
256 +1.989019 Substrain b'word[:1]:M'
257 +1.972823 Agit b'+1:lemma:rpm'
258 +1.953612 Supp b'lemma:Fe'
259 +1.940845 O b'lemma:chip'
260 +1.936105 Med b'word[:1]:L'
261 +1.928291 Supp b'lemma:rifampicin'
262 +1.926687 Supp b'word[:2]:gl'
263 +1.915939 Supp b'word[:2]:ri'
264 +1.913797 Gversion b'lemma:.2'
265 +1.913797 Gversion b'-1:lemma:u00096'
266 +1.913797 Gversion b'word[:2]:.2'
267 +1.910063 Supp b'lemma:fructose'
268 +1.909338 Supp b'word[:2]:30'
269 +1.896702 O b'lemma:growth'
270 +1.895943 Supp b'postag:VBP'
271 +1.892910 Gtype b'+1:lemma:type'
272 +1.889532 O b'lemma:0.4'
273 +1.871889 Gtype b'lemma:\xe2\x88\x86'
274 +1.871889 Gtype b'word[:1]:\xe2\x88\x86'
275 +1.871050 O b'lemma:at'
276 +1.869248 O b'word[:2]:In'
277 +1.859503 Gtype b'word[:1]:F'
278 +1.851083 Supp b'word[:2]:ac'
279 +1.849424 O b'-1:lemma:anaerobic'
280 +1.842373 O b'-1:lemma:media'
281 +1.841449 Supp b'-1:postag:CC'
282 +1.836269 O b'lemma:ml'
283 +1.836269 O b'word[:2]:ml'
284 +1.828600 O b'word[:1]:i'
285 +1.828258 Gtype b'word[:1]:f'
286 +1.827189 Technique b'word[:1]:R'
287 +1.813413 O b'-1:lemma:mg1655'
288 +1.805298 Temp b'lemma:43'
289 +1.805298 Temp b'word[:2]:43'
290 +1.800703 Med b'lemma:broth'
291 +1.800703 Med b'-1:lemma:L'
292 +1.800703 Med b'word[:2]:br'
293 +1.795613 O b'word[:1]:u'
294 +1.759212 O b'postag[:1]:V'
295 +1.759212 O b'postag[:2]:VB'
296 +1.754974 Gtype b'-1:lemma:_'
297 +1.745663 Supp b'word[:1]:1'
298 +1.723877 Supp b'lemma:Leu'
299 +1.723877 Supp b'word[:2]:Le'
300 +1.721581 Technique b'lemma:chipseq'
301 +1.707824 Phase b'+1:postag:NNS'
302 +1.696873 Gtype b'-1:lemma:vector'
303 +1.690920 Air b'word[:2]:an'
304 +1.681189 Gtype b'word[:2]:Ar'
305 +1.652222 O b'+1:postag:VBZ'
306 +1.635512 O b'+1:lemma:30'
307 +1.623155 Med b'+1:lemma:-lrb-'
308 +1.621988 O b'-1:lemma:stpa'
309 +1.619973 Substrain b'+1:lemma:phtpg'
310 +1.619895 Vess b'lemma:flask'
311 +1.619895 Vess b'-1:lemma:warm'
312 +1.613546 Supp b'+1:lemma:min'
313 +1.611072 Vess b'word[:2]:fl'
314 +1.610373 O b'+1:postag:VBN'
315 +1.603394 Air b'+1:lemma:until'
316 +1.591021 Temp b'-1:lemma:degree'
317 +1.586003 O b'word[:1]:-'
318 +1.583870 O b'-1:lemma:phase'
319 +1.582561 Supp b'lemma:2h'
320 +1.582561 Supp b'-1:lemma:additional'
321 +
322 +
323 +Top negative:
324 +-0.059848 OD b'postag[:1]:N'
325 +-0.059848 OD b'postag[:2]:NN'
326 +-0.059922 O b'-1:lemma:phosphate'
327 +-0.060173 Technique b'-1:lemma::'
328 +-0.060454 O b'word[:1]:2'
329 +-0.061725 OD b'+1:lemma:0.4'
330 +-0.062364 Technique b'postag[:1]:N'
331 +-0.062364 Technique b'postag[:2]:NN'
332 +-0.063877 Gtype b'word[:1]:-'
333 +-0.063940 O b'-1:lemma:-lrb-'
334 +-0.065863 Supp b'-1:postag:NN'
335 +-0.066673 OD b'lemma:0.4'
336 +-0.067069 O b'word[:2]:fi'
337 +-0.068494 O b'word[:1]:.'
338 +-0.070950 Air b'postag:CC'
339 +-0.070950 Air b'postag[:2]:CC'
340 +-0.078141 O b'word[:1]:g'
341 +-0.079781 Supp b'word[:2]:10'
342 +-0.085611 O b'-1:postag:-LRB-'
343 +-0.085744 O b'lemma:minimal'
344 +-0.086337 O b'word[:1]:d'
345 +-0.087082 Supp b'word[:2]:vo'
346 +-0.091121 Gtype b'+1:postag:NN'
347 +-0.094589 Supp b'postag:CD'
348 +-0.094589 Supp b'postag[:2]:CD'
349 +-0.098403 Temp b'-1:lemma:\xc2\xb0c'
350 +-0.099548 O b'+1:postag:-LRB-'
351 +-0.099870 O b'+1:lemma:rep2'
352 +-0.103006 O b'+1:lemma:1/100'
353 +-0.107449 Gversion b'+1:postag:NN'
354 +-0.108265 Temp b'postag[:1]:N'
355 +-0.108265 Temp b'postag[:2]:NN'
356 +-0.108397 Supp b'-1:lemma:.'
357 +-0.108397 Supp b'-1:postag:.'
358 +-0.109037 Gtype b'postag[:1]:V'
359 +-0.109037 Gtype b'postag[:2]:VB'
360 +-0.109312 Supp b'lemma:10'
361 +-0.113057 O b'+1:lemma:%'
362 +-0.120224 Phase b'-1:lemma:at'
363 +-0.130743 O b'+1:postag:CD'
364 +-0.133476 Supp b'lemma:,'
365 +-0.133476 Supp b'postag:,'
366 +-0.133476 Supp b'word[:1]:,'
367 +-0.133476 Supp b'postag[:1]:,'
368 +-0.136463 Air b'hUpper'
369 +-0.136463 Air b'hLower'
370 +-0.150682 O b'word[:2]:OD'
371 +-0.151965 O b'-1:lemma:rpob'
372 +-0.154235 O b'+1:lemma:-rrb-'
373 +-0.158600 Gtype b'-1:lemma:mg1655'
374 +-0.164950 O b'word[:1]:M'
375 +-0.174920 Air b'+1:postag:-LRB-'
376 +-0.176710 Med b'lemma:m9'
377 +-0.176710 Med b'word[:2]:M9'
378 +-0.178022 Med b'postag[:1]:C'
379 +-0.180125 O b'-1:lemma:of'
380 +-0.181701 Phase b'+1:postag:NN'
381 +-0.183270 Supp b'postag[:1]:C'
382 +-0.184142 Med b'-1:lemma:m9'
383 +-0.185330 OD b'lemma:od600'
384 +-0.194943 O b'word[:2]:ae'
385 +-0.196910 Technique b'-1:postag::'
386 +-0.198688 Supp b'word[:1]:C'
387 +-0.198890 Gtype b'-1:lemma:-lrb-'
388 +-0.199882 pH b'postag[:1]:N'
389 +-0.199882 pH b'postag[:2]:NN'
390 +-0.200375 Air b'-1:lemma:grow'
391 +-0.201809 O b'lemma:2h'
392 +-0.201809 O b'-1:lemma:additional'
393 +-0.201809 O b'word[:2]:2h'
394 +-0.205749 Supp b'+1:lemma:10'
395 +-0.216714 Gtype b'+1:postag:CD'
396 +-0.224065 O b'+1:postag:-RRB-'
397 +-0.226472 O b'lemma:co2'
398 +-0.226472 O b'word[:2]:CO'
399 +-0.232140 Air b'-1:postag:VBN'
400 +-0.241573 Air b'-1:postag:CC'
401 +-0.242963 Air b'symb'
402 +-0.250464 Phase b'postag[:1]:J'
403 +-0.250464 Phase b'postag[:2]:JJ'
404 +-0.270255 O b'lemma:aerobically'
405 +-0.270737 O b'lemma:media'
406 +-0.271988 O b'word[:2]:gl'
407 +-0.275321 O b'+1:lemma:supplement'
408 +-0.276089 O b'-1:postag:IN'
409 +-0.281202 O b'word[:2]:ce'
410 +-0.282921 O b'-1:lemma:250'
411 +-0.284342 Air b'+1:postag:JJ'
412 +-0.285982 O b'lemma:of'
413 +-0.285982 O b'word[:2]:of'
414 +-0.299888 Supp b'word[:2]:an'
415 +-0.300445 O b'word[:1]:F'
416 +-0.311626 O b'+1:lemma:for'
417 +-0.312645 Phase b'postag:JJ'
418 +-0.314439 Temp b'postag:NN'
419 +-0.318498 O b'+1:lemma:mm'
420 +-0.321300 Supp b'-1:lemma:-lrb-'
421 +-0.328758 O b'lemma:1m'
422 +-0.328758 O b'word[:2]:1M'
423 +-0.333791 O b'-1:lemma:sodium'
424 +-0.336871 Med b'+1:postag:NN'
425 +-0.348304 Gtype b'+1:lemma:-lrb-'
426 +-0.350520 Med b'-1:postag:CD'
427 +-0.352516 O b'lemma:37'
428 +-0.352516 O b'word[:2]:37'
429 +-0.362946 O b'+1:lemma:.'
430 +-0.362946 O b'+1:postag:.'
431 +-0.363307 Med b'-1:postag:NN'
432 +-0.370538 Air b'postag:NN'
433 +-0.375679 Supp b'-1:postag:-LRB-'
434 +-0.378467 O b'+1:postag:VBG'
435 +-0.380556 O b'-1:lemma:ml'
436 +-0.380799 O b'-1:lemma:final'
437 +-0.381345 O b'+1:lemma:ph'
438 +-0.383546 O b'-1:lemma:n2'
439 +-0.385967 O b'lemma:mid-log'
440 +-0.387867 Air b'postag[:1]:N'
441 +-0.387867 Air b'postag[:2]:NN'
442 +-0.397798 Supp b'postag:JJ'
443 +-0.400326 Supp b'postag[:1]:J'
444 +-0.400326 Supp b'postag[:2]:JJ'
445 +-0.407602 O b'-1:lemma:mm'
446 +-0.431970 Med b'-1:postag:IN'
447 +-0.434055 O b'-1:lemma:1m'
448 +-0.445787 Temp b'hGreek'
449 +-0.452175 Med b'symb'
450 +-0.460332 O b'-1:lemma:IP'
451 +-0.467068 O b'-1:lemma:37'
452 +-0.478293 O b'+1:lemma:phosphate'
453 +-0.537372 O b'word[:2]:ni'
454 +-0.545269 O b'-1:lemma:until'
455 +-0.548531 O b'word[:2]:0.'
456 +-0.623964 O b'word[:1]:0'
457 +-0.624246 Supp b'-1:postag:NNP'
458 +-0.632176 O b'lemma:c'
459 +-0.637617 O b'+1:postag:IN'
460 +-0.640663 OD b'hUpper'
461 +-0.640663 OD b'hLower'
462 +-0.643238 O b'lemma:sodium'
463 +-0.678960 O b'word[:2]:pH'
464 +-0.686405 O b'word[:2]:ri'
465 +-0.690472 Air b'-1:lemma:or'
466 +-0.706445 O b'-1:lemma:delta'
467 +-0.723520 O b'+1:lemma:g/l'
468 +-0.736143 Supp b'hGreek'
469 +-0.746481 O b'lemma:methanol'
470 +-0.769671 O b'-1:lemma:nsrr'
471 +-0.784252 Air b'-1:postag:JJ'
472 +-0.788281 Med b'+1:postag:IN'
473 +-0.822122 Supp b'+1:lemma:rifampicin'
474 +-0.838923 Supp b'symb'
475 +-0.852449 Agit b'symb'
476 +-0.867354 O b'-1:lemma:co2'
477 +-0.874419 O b'-1:lemma:30'
478 +-0.894271 O b'word[:2]:me'
479 +-0.895822 O b'word[:2]:mg'
480 +-0.898915 O b'-1:lemma:1'
481 +-0.904279 O b'lemma:0.3'
482 +-0.910372 O b'+1:lemma:at'
483 +-0.910865 Phase b'hUpper'
484 +-0.910865 Phase b'hLower'
485 +-1.005990 O b'-1:postag::'
486 +-1.027364 O b'+1:lemma:1m'
487 +-1.029400 O b'-1:lemma:dissolve'
488 +-1.029400 O b'+1:lemma:methanol'
489 +-1.037454 Gtype b'lemma:delta'
490 +-1.044796 O b'-1:lemma:fresh'
491 +-1.052334 O b'+1:lemma:until'
492 +-1.062610 O b'word[:1]:N'
493 +-1.076834 O b'word[:2]:fl'
494 +-1.106973 O b'word[:2]:30'
495 +-1.108666 Phase b'-1:postag:JJ'
496 +-1.184488 Gtype b'+1:lemma:-rrb-'
497 +-1.190874 Agit b'hUpper'
498 +-1.190874 Agit b'hLower'
499 +-1.198537 Anti b'postag:NNP'
500 +-1.237479 Technique b'postag:NN'
501 +-1.254724 Gtype b'word[:1]:C'
502 +-1.285720 O b'+1:lemma:2.0'
503 +-1.319520 O b'-1:lemma:cra'
504 +-1.367368 O b'-1:lemma:sample'
505 +-1.499105 O b'-1:postag:VBG'
506 +-1.499318 O b'+1:lemma:in'
507 +-1.578496 O b'-1:lemma:ph'
508 +-1.679574 OD b'+1:postag:NN'
509 +-1.738083 O b'word[:2]:Ch'
510 +-1.860176 O b'+1:lemma:1'
511 +-1.912082 O b'lemma:rifampicin'
512 +-1.975467 Supp b'+1:lemma:-lrb-'
513 +-2.013762 Supp b'+1:postag:-LRB-'
514 +-2.120131 O b'+1:lemma:2'
515 +-2.321555 Supp b'+1:lemma:,'
516 +-2.321555 Supp b'+1:postag:,'
517 +-2.461859 O b'word[:1]:P'
518 +-2.555572 Temp b'+1:postag:IN'
519 +-2.561836 O b'-1:lemma:2'
520 +-3.242599 O b'postag:VBP'
521 +-3.584101 O b'-1:lemma:vol'
522 +-5.325671 O b'-1:lemma:_'
523 +-5.823992 O b'-1:lemma::'
524 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.13330184503096318, 'c2': 0.015952382909212963}
5 +best CV score:0.8603877155764311
6 +model size: 0.08M
7 +
8 +Flat F1: 0.7890643233991025
9 + precision recall f1-score support
10 +
11 + OD 0.857 0.818 0.837 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 0.913 0.955 23
14 + Med 1.000 0.943 0.971 53
15 + Temp 1.000 0.690 0.816 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.882 1.000 0.938 15
19 + Air 0.543 0.362 0.435 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.868 0.776 0.820 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.779 0.813 0.796 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.826 0.763 0.789 451
28 +
29 +
30 +Top likely transitions:
31 +Agit -> Agit 6.893287
32 +Temp -> Temp 6.021557
33 +Med -> Med 5.295918
34 +OD -> OD 5.124787
35 +Anti -> Anti 5.077725
36 +Phase -> Phase 4.805244
37 +Supp -> Supp 4.676680
38 +Gversion -> Gversion 4.270632
39 +O -> O 4.151009
40 +Gtype -> Gtype 4.130084
41 +Air -> Air 4.099435
42 +Technique -> Technique 3.483421
43 +pH -> pH 2.997159
44 +Substrain -> Gtype 1.124559
45 +O -> Technique 1.003751
46 +O -> Supp 0.947717
47 +Air -> O 0.873831
48 +Temp -> O 0.565967
49 +O -> Temp 0.479055
50 +O -> Gtype 0.462638
51 +Gtype -> Air 0.167055
52 +Supp -> O 0.160803
53 +Technique -> Air 0.116967
54 +O -> OD 0.109397
55 +Med -> O 0.103673
56 +O -> Phase 0.083258
57 +Gtype -> Supp 0.074101
58 +OD -> O 0.051003
59 +Phase -> O 0.029928
60 +Strain -> O 0.000886
61 +O -> Anti 0.000637
62 +O -> Gversion 0.000062
63 +Anti -> Air -0.001399
64 +Phase -> Supp -0.014135
65 +Gtype -> Gversion -0.023045
66 +Technique -> Gtype -0.145953
67 +Supp -> Technique -0.164756
68 +Technique -> pH -0.188040
69 +Supp -> Air -0.262229
70 +Gtype -> Technique -0.360196
71 +OD -> Air -0.397656
72 +Air -> Phase -0.403726
73 +Gtype -> Med -0.439722
74 +Gversion -> O -0.476476
75 +Air -> Supp -0.501806
76 +Gtype -> Anti -0.567560
77 +Supp -> Gtype -0.583004
78 +Air -> Temp -0.652068
79 +Technique -> O -0.816523
80 +O -> Air -0.975032
81 +
82 +
83 +Top unlikely transitions:
84 +Anti -> Anti 5.077725
85 +Phase -> Phase 4.805244
86 +Supp -> Supp 4.676680
87 +Gversion -> Gversion 4.270632
88 +O -> O 4.151009
89 +Gtype -> Gtype 4.130084
90 +Air -> Air 4.099435
91 +Technique -> Technique 3.483421
92 +pH -> pH 2.997159
93 +Substrain -> Gtype 1.124559
94 +O -> Technique 1.003751
95 +O -> Supp 0.947717
96 +Air -> O 0.873831
97 +Temp -> O 0.565967
98 +O -> Temp 0.479055
99 +O -> Gtype 0.462638
100 +Gtype -> Air 0.167055
101 +Supp -> O 0.160803
102 +Technique -> Air 0.116967
103 +O -> OD 0.109397
104 +Med -> O 0.103673
105 +O -> Phase 0.083258
106 +Gtype -> Supp 0.074101
107 +OD -> O 0.051003
108 +Phase -> O 0.029928
109 +Strain -> O 0.000886
110 +O -> Anti 0.000637
111 +O -> Gversion 0.000062
112 +Anti -> Air -0.001399
113 +Phase -> Supp -0.014135
114 +Gtype -> Gversion -0.023045
115 +Technique -> Gtype -0.145953
116 +Supp -> Technique -0.164756
117 +Technique -> pH -0.188040
118 +Supp -> Air -0.262229
119 +Gtype -> Technique -0.360196
120 +OD -> Air -0.397656
121 +Air -> Phase -0.403726
122 +Gtype -> Med -0.439722
123 +Gversion -> O -0.476476
124 +Air -> Supp -0.501806
125 +Gtype -> Anti -0.567560
126 +Supp -> Gtype -0.583004
127 +Air -> Temp -0.652068
128 +Technique -> O -0.816523
129 +O -> Air -0.975032
130 +Gtype -> O -1.058292
131 +Supp -> Med -1.159468
132 +Med -> Supp -1.481426
133 +Substrain -> O -1.534528
134 +
135 +
136 +Top positive:
137 +6.792977 Technique b'lemma[:2]:Ch'
138 +6.185501 O b'lemma:2'
139 +5.372196 O b'lemma:3'
140 +5.171879 O b'-1:lemma:tag'
141 +5.142744 Gtype b'lemma[:1]:\xce\xb4'
142 +4.788508 O b'lemma:1'
143 +4.739414 O b'postag:IN'
144 +4.709882 O b'lemma:-'
145 +4.462687 Technique b'lemma:chipseq'
146 +4.337449 O b'lemma[:2]:re'
147 +4.272091 Supp b'+1:lemma:\xc2\xb5m'
148 +4.219425 O b'lemma:with'
149 +4.162550 O b'+1:lemma:pq'
150 +4.046798 O b'lemma:_'
151 +4.046798 O b'lemma[:1]:_'
152 +4.040972 Gtype b'-1:lemma:\xe2\x88\x86'
153 +4.018468 Phase b'lemma:mid-log'
154 +3.950059 Air b'lemma[:2]:ae'
155 +3.882373 O b'postag::'
156 +3.866328 Supp b'lemma:Iron'
157 +3.866328 Supp b'lemma[:2]:Ir'
158 +3.865451 O b'lemma:b'
159 +3.666419 O b'lemma:a'
160 +3.658095 Substrain b'lemma[:2]:mg'
161 +3.641844 Air b'-1:lemma:ChIP-Seq'
162 +3.630211 Supp b'-1:lemma:Cra'
163 +3.616609 O b'postag:CC'
164 +3.541072 Air b'lemma:anaerobic'
165 +3.460006 Air b'lemma[:2]:an'
166 +3.437202 O b'lemma:rpob'
167 +3.400149 Gtype b'lemma:arca8myc'
168 +3.376119 Strain b'+1:lemma:substr'
169 +3.310669 O b'lemma:.'
170 +3.310669 O b'postag:.'
171 +3.265211 O b'-1:lemma:lb'
172 +3.262791 Supp b'-1:lemma:with'
173 +3.123788 Supp b'-1:lemma:vol'
174 +3.100190 Air b'-1:lemma:-'
175 +3.079730 Supp b'lemma:pq'
176 +3.079730 Supp b'lemma[:2]:pq'
177 +3.061798 Agit b'+1:lemma:rpm'
178 +3.060071 O b'-1:lemma:0.3'
179 +2.985771 Supp b'lemma:arginine'
180 +2.958596 O b'lemma[:1]:h'
181 +2.939765 O b'lemma[:2]:ge'
182 +2.920828 O b'lemma:delta'
183 +2.918295 Phase b'lemma:stationary'
184 +2.910332 Supp b'-1:lemma:+'
185 +2.845649 Technique b'lemma[:2]:ch'
186 +2.823670 Gversion b'lemma:chip-seq'
187 +2.791251 O b'postag:VBN'
188 +2.770882 Anti b'+1:lemma:antibody'
189 +2.759206 Gtype b'lemma:type'
190 +2.759206 Gtype b'lemma[:2]:ty'
191 +2.752479 Temp b'+1:lemma:in'
192 +2.715434 Med b'-1:lemma:ml'
193 +2.707247 Air b'lemma:Aerobic'
194 +2.707247 Air b'lemma[:2]:Ae'
195 +2.706748 Med b'+1:lemma:0.4'
196 +2.704634 O b'-1:lemma:glucose'
197 +2.684854 Phase b'lemma[:2]:ex'
198 +2.662573 Anti b'lemma[:2]:an'
199 +2.630158 Technique b'lemma[:2]:rn'
200 +2.608017 Supp b'lemma:acetate'
201 +2.554332 OD b'lemma[:1]:o'
202 +2.549906 Gtype b'lemma:fnr8myc'
203 +2.524063 O b'-1:lemma:0.3-0.35'
204 +2.521537 O b'-1:lemma:Aerobic'
205 +2.508216 Supp b'lemma:rifampicin'
206 +2.505724 O b'lemma:ompr'
207 +2.499756 Supp b'lemma[:2]:ri'
208 +2.491716 O b'lemma:chip'
209 +2.488425 Supp b'-1:lemma:final'
210 +2.473021 Gtype b'lemma[:2]:cr'
211 +2.448300 Med b'lemma:MOPS'
212 +2.448300 Med b'lemma[:1]:M'
213 +2.448300 Med b'lemma[:2]:MO'
214 +2.444945 Supp b'+1:lemma:1'
215 +2.444634 Gtype b'lemma:wt'
216 +2.444634 Gtype b'lemma[:2]:wt'
217 +2.439447 Gtype b'lemma[:2]:ar'
218 +2.423220 Gtype b'lemma[:2]:pk'
219 +2.411016 Technique b'lemma[:1]:C'
220 +2.409772 O b'postag:DT'
221 +2.401919 Supp b'+1:lemma:mm'
222 +2.397549 Supp b'-1:lemma:sodium'
223 +2.386531 Agit b'lemma:rpm'
224 +2.384742 Med b'lemma:broth'
225 +2.384742 Med b'-1:lemma:L'
226 +2.384742 Med b'lemma[:2]:br'
227 +2.380245 Supp b'lemma[:1]:I'
228 +2.354434 O b'lemma[:1]:C'
229 +2.351237 Technique b'-1:lemma:input'
230 +2.341179 Air b'postag:RB'
231 +2.337517 O b'-1:lemma:into'
232 +2.316952 Gtype b'lemma[:2]:de'
233 +2.308227 Gversion b'lemma:asm584v2'
234 +2.304126 Gtype b'lemma:nsrr'
235 +2.304126 Gtype b'lemma[:2]:ns'
236 +2.302775 Gversion b'lemma[:2]:as'
237 +2.247462 Gtype b'lemma[:1]:W'
238 +2.232742 Supp b'lemma[:2]:ni'
239 +2.228857 Gtype b'-1:lemma:_'
240 +2.228364 Med b'lemma:L'
241 +2.228364 Med b'+1:lemma:broth'
242 +2.215606 Gtype b'+1:lemma:type'
243 +2.215192 Supp b'lemma:fructose'
244 +2.213388 O b'-1:lemma:ChIP-exo'
245 +2.205310 Gversion b'lemma[:2]:00'
246 +2.189511 O b'lemma:Custom'
247 +2.189511 O b'lemma[:2]:Cu'
248 +2.189327 Gversion b'lemma:nc'
249 +2.189327 Gversion b'lemma[:2]:nc'
250 +2.187007 Anti b'lemma:none'
251 +2.170324 O b'+1:lemma:or'
252 +2.165483 Phase b'lemma[:1]:e'
253 +2.157215 Air b'lemma[:1]:a'
254 +2.155510 O b'+1:lemma:acetate'
255 +2.137294 O b'-1:lemma:phase'
256 +2.120304 O b'lemma[:2]:om'
257 +2.109931 Temp b'-1:lemma:43'
258 +2.093355 pH b'+1:postag:CD'
259 +2.087626 O b'lemma[:1]:e'
260 +2.082218 Gtype b'+1:lemma::'
261 +2.080609 O b'+1:lemma:mid-log'
262 +2.064412 O b'-1:lemma:type'
263 +2.055018 Temp b'-1:lemma:sample'
264 +2.048893 Temp b'-1:lemma:\xcf\x8332'
265 +2.048779 O b'+1:lemma:od600'
266 +2.037410 Med b'+1:lemma:2.0'
267 +2.035956 O b'+1:postag:NNP'
268 +2.030314 O b'+1:postag:RB'
269 +2.027123 Gtype b'lemma[:1]:w'
270 +2.011116 O b'-1:lemma:anaerobic'
271 +2.006058 Gtype b'lemma[:1]:f'
272 +1.994696 pH b'lemma[:2]:ph'
273 +1.971101 Supp b'lemma:no3'
274 +1.963975 Technique b'+1:lemma:rna-seq'
275 +1.963032 O b'lemma:purr'
276 +1.954191 O b'lemma:Cra'
277 +1.953081 Gtype b'lemma:flag-tag'
278 +1.953081 Gtype b'-1:lemma:c-terminal'
279 +1.929362 Technique b'+1:lemma:chip-exo'
280 +1.926848 Med b'lemma[:1]:m'
281 +1.913449 Substrain b'lemma[:1]:m'
282 +1.912657 Gtype b'-1:lemma:vector'
283 +1.903374 Gtype b'lemma:\xe2\x88\x86'
284 +1.903374 Gtype b'lemma[:1]:\xe2\x88\x86'
285 +1.901605 O b'lemma[:2]:Cr'
286 +1.900522 Supp b'lemma[:2]:gl'
287 +1.899158 O b'lemma[:1]:s'
288 +1.875620 O b'postag:VBG'
289 +1.860683 O b'lemma:n'
290 +1.859831 Strain b'lemma:k-12'
291 +1.859831 Strain b'lemma[:2]:k-'
292 +1.859641 Supp b'lemma[:2]:ac'
293 +1.834220 Supp b'lemma:nacl'
294 +1.834220 Supp b'lemma[:2]:na'
295 +1.829854 Supp b'+1:lemma:2'
296 +1.820248 Strain b'lemma[:1]:k'
297 +1.810126 Temp b'lemma:43'
298 +1.810126 Temp b'lemma[:2]:43'
299 +1.789121 Gtype b'+1:lemma:with'
300 +1.787780 Gversion b'-1:lemma:nc'
301 +1.784140 Med b'-1:lemma:fresh'
302 +1.776852 Gtype b'-1:postag:VBG'
303 +1.769935 Supp b'lemma:Leu'
304 +1.769935 Supp b'lemma[:2]:Le'
305 +1.761067 Gtype b'symb'
306 +1.756726 O b'-1:lemma:stpa'
307 +1.755310 Phase b'-1:lemma:until'
308 +1.753083 Supp b'-1:postag:CC'
309 +1.751530 Anti b'-1:lemma::'
310 +1.746658 O b'lemma:argr'
311 +1.741299 O b'lemma:\xcf\x8332'
312 +1.741299 O b'lemma[:1]:\xcf\x83'
313 +1.741299 O b'lemma[:2]:\xcf\x833'
314 +1.735808 Supp b'lemma:Fe'
315 +1.735808 Supp b'lemma[:2]:Fe'
316 +1.734847 Anti b'hGreek'
317 +1.731060 Gtype b'-1:lemma:knock-out'
318 +1.724076 O b'-1:lemma:aerobically'
319 +1.721770 O b'lemma:A'
320 +1.714736 O b'lemma:0.4'
321 +1.713906 Gtype b'lemma[:1]:t'
322 +1.706889 Air b'+1:postag:IN'
323 +1.699701 Supp b'lemma:glucose'
324 +1.698973 O b'lemma:chip-arca'
325 +1.681807 O b'+1:lemma:coli'
326 +1.680743 O b'+1:lemma:sparging'
327 +1.679592 O b'-1:postag:NNS'
328 +1.678415 Air b'-1:lemma:co2'
329 +1.676578 O b'lemma[:1]:-'
330 +1.669982 pH b'lemma:ph5'
331 +1.669982 pH b'+1:lemma:.5'
332 +1.659378 Substrain b'+1:lemma:phtpg'
333 +1.658130 Gtype b'-1:lemma:rpob'
334 +1.643206 O b'lemma[:1]:c'
335 +1.637539 Gtype b'lemma[:2]:wi'
336 +1.628222 Supp b'+1:lemma:min'
337 +
338 +
339 +Top negative:
340 +-0.048858 Air b'lemma:-rrb-'
341 +-0.053617 OD b'-1:lemma:od600'
342 +-0.056105 Supp b'+1:lemma:dpd'
343 +-0.058525 O b'+1:lemma:95'
344 +-0.061956 Supp b'-1:lemma:%'
345 +-0.062560 O b'+1:lemma:cell'
346 +-0.065163 Supp b'lemma:vol'
347 +-0.065163 Supp b'-1:lemma:1/100'
348 +-0.067871 O b'+1:lemma:antibody'
349 +-0.069248 Gtype b'+1:postag:NN'
350 +-0.072048 O b'lemma:2.0'
351 +-0.078220 Supp b'lemma[:2]:vo'
352 +-0.079573 Supp b'-1:postag::'
353 +-0.084349 Supp b'-1:lemma:;'
354 +-0.085848 O b'-1:lemma:-lrb-'
355 +-0.097584 O b'+1:lemma:phosphate'
356 +-0.098013 Supp b'+1:lemma:rifampicin'
357 +-0.104233 Phase b'-1:lemma:at'
358 +-0.109073 O b'lemma:7.6'
359 +-0.109073 O b'+1:lemma:;'
360 +-0.109073 O b'lemma[:2]:7.'
361 +-0.110982 Air b'-1:postag:CC'
362 +-0.115095 O b'+1:lemma:0.3'
363 +-0.124835 Gtype b'lemma[:1]:g'
364 +-0.138288 O b'-1:lemma:g/l'
365 +-0.139335 O b'-1:lemma:control'
366 +-0.140398 O b'lemma:1/100'
367 +-0.140398 O b'+1:lemma:vol'
368 +-0.140398 O b'lemma[:2]:1/'
369 +-0.142417 O b'lemma[:2]:ph'
370 +-0.150417 Supp b'-1:lemma:dpd'
371 +-0.152181 Air b'postag:CC'
372 +-0.156096 Supp b'lemma[:2]:mm'
373 +-0.170571 Supp b'lemma[:1]:v'
374 +-0.176750 Supp b'-1:lemma:.'
375 +-0.176750 Supp b'-1:postag:.'
376 +-0.177644 Air b'+1:postag:JJ'
377 +-0.183264 O b'lemma:ph'
378 +-0.194456 O b'+1:lemma:_'
379 +-0.198008 O b'lemma[:1]:I'
380 +-0.198858 Med b'lemma[:1]:c'
381 +-0.200600 Supp b'postag:CD'
382 +-0.200922 Supp b'lemma[:2]:10'
383 +-0.225778 O b'lemma:sodium'
384 +-0.227988 O b'lemma:150'
385 +-0.227988 O b'+1:lemma:mg/ml'
386 +-0.227988 O b'lemma[:2]:15'
387 +-0.230044 Air b'-1:lemma:grow'
388 +-0.230726 O b'lemma[:1]:L'
389 +-0.242707 OD b'+1:lemma:0.4'
390 +-0.247792 O b'lemma:aerobic'
391 +-0.250676 Gtype b'postag:CD'
392 +-0.251160 O b'lemma:37'
393 +-0.251160 O b'lemma[:2]:37'
394 +-0.252456 Supp b'lemma[:1]:o'
395 +-0.257318 Supp b'lemma:mm'
396 +-0.261677 O b'lemma:minimal'
397 +-0.264264 O b'-1:lemma:phosphate'
398 +-0.265979 O b'lemma:1m'
399 +-0.265979 O b'lemma[:2]:1m'
400 +-0.266597 O b'lemma:media'
401 +-0.267452 O b'lemma[:2]:an'
402 +-0.267991 Supp b'lemma:10'
403 +-0.278125 O b'lemma[:2]:0.'
404 +-0.280995 Supp b'lemma[:1]:a'
405 +-0.282672 Phase b'+1:postag:NN'
406 +-0.283800 O b'-1:lemma:iptg'
407 +-0.286359 O b'+1:lemma:1/100'
408 +-0.296570 O b'-1:postag:IN'
409 +-0.303339 O b'lemma:wt'
410 +-0.303339 O b'lemma[:2]:wt'
411 +-0.304954 O b'-1:lemma:n2'
412 +-0.305002 O b'+1:lemma:for'
413 +-0.313331 O b'+1:lemma:ph'
414 +-0.315827 O b'+1:lemma:rep2'
415 +-0.316914 Supp b'-1:postag:NNP'
416 +-0.317533 O b'+1:lemma:.'
417 +-0.317533 O b'+1:postag:.'
418 +-0.319317 O b'lemma[:2]:od'
419 +-0.321743 Supp b'+1:lemma:fructose'
420 +-0.325179 Gtype b'-1:lemma:-lrb-'
421 +-0.327448 Technique b'-1:lemma::'
422 +-0.332177 O b'+1:lemma:supplement'
423 +-0.340289 O b'lemma:of'
424 +-0.340289 O b'lemma[:2]:of'
425 +-0.346020 pH b'postag:NN'
426 +-0.348702 O b'-1:lemma:1m'
427 +-0.348772 O b'-1:lemma:of'
428 +-0.353402 O b'-1:postag:-LRB-'
429 +-0.353653 Gtype b'lemma[:1]:-'
430 +-0.370016 Air b'+1:postag:-LRB-'
431 +-0.378377 Med b'+1:postag:NN'
432 +-0.386701 O b'lemma:co2'
433 +-0.387052 O b'+1:lemma:-rrb-'
434 +-0.410253 O b'lemma:anaerobically'
435 +-0.410584 O b'-1:lemma:from'
436 +-0.411044 Med b'-1:postag:NN'
437 +-0.423352 Med b'+1:postag:IN'
438 +-0.425947 O b'lemma:glucose'
439 +-0.439413 O b'+1:postag:-RRB-'
440 +-0.439693 O b'+1:postag:IN'
441 +-0.445043 O b'lemma:c'
442 +-0.449206 Air b'-1:postag:JJ'
443 +-0.454193 Med b'symb'
444 +-0.455690 O b'lemma:2h'
445 +-0.455690 O b'-1:lemma:additional'
446 +-0.455690 O b'lemma[:2]:2h'
447 +-0.456326 OD b'hUpper'
448 +-0.456326 OD b'hLower'
449 +-0.457470 O b'-1:lemma:mm'
450 +-0.459860 O b'lemma[:1]:0'
451 +-0.476971 Anti b'+1:lemma:anti-fur'
452 +-0.481570 Air b'-1:lemma:or'
453 +-0.487911 Med b'-1:postag:IN'
454 +-0.497805 O b'-1:lemma:37'
455 +-0.503733 O b'postag:RB'
456 +-0.518906 Gtype b'-1:lemma:mg1655'
457 +-0.521608 O b'lemma[:2]:mg'
458 +-0.539310 Supp b'-1:lemma:-lrb-'
459 +-0.544818 Air b'-1:postag:VBN'
460 +-0.554971 Air b'+1:lemma:-lrb-'
461 +-0.564728 O b'+1:lemma:at'
462 +-0.575151 O b'lemma[:2]:gl'
463 +-0.586132 Temp b'hGreek'
464 +-0.613309 O b'lemma:methanol'
465 +-0.622499 Supp b'lemma[:1]:s'
466 +-0.648351 Supp b'-1:postag:-LRB-'
467 +-0.649606 Air b'symb'
468 +-0.665356 O b'-1:lemma:delta'
469 +-0.666424 Technique b'postag:NN'
470 +-0.679462 O b'lemma[:2]:ar'
471 +-0.680103 Med b'-1:postag:CD'
472 +-0.690689 O b'-1:lemma:\xe2\x88\x86'
473 +-0.694572 Supp b'symb'
474 +-0.699321 Supp b'+1:postag:VBN'
475 +-0.711427 Agit b'symb'
476 +-0.727728 Gtype b'lemma[:1]:c'
477 +-0.728934 O b'lemma:mid-log'
478 +-0.732994 Supp b'postag:JJ'
479 +-0.763056 O b'-1:lemma:final'
480 +-0.787433 Technique b'-1:postag::'
481 +-0.799920 Phase b'postag:JJ'
482 +-0.805670 O b'+1:postag:VBG'
483 +-0.811006 O b'-1:lemma:nsrr'
484 +-0.817629 Gtype b'+1:lemma:-rrb-'
485 +-0.826953 Phase b'hUpper'
486 +-0.826953 Phase b'hLower'
487 +-0.832803 O b'-1:lemma:30'
488 +-0.866445 O b'+1:lemma:2.0'
489 +-0.869353 O b'-1:lemma:dissolve'
490 +-0.869353 O b'+1:lemma:methanol'
491 +-0.879555 Phase b'-1:postag:JJ'
492 +-0.902450 Agit b'hUpper'
493 +-0.902450 Agit b'hLower'
494 +-0.908311 O b'-1:lemma:cra'
495 +-0.913033 O b'-1:lemma:IP'
496 +-0.913247 Temp b'postag:NN'
497 +-0.923496 O b'-1:lemma:co2'
498 +-0.928549 O b'+1:lemma:until'
499 +-0.945079 O b'+1:lemma:1m'
500 +-0.973593 O b'postag:VBP'
501 +-0.977346 O b'-1:lemma:rpob'
502 +-0.993918 O b'+1:lemma:g/l'
503 +-0.995081 O b'-1:lemma:ph'
504 +-1.012606 O b'lemma[:2]:ri'
505 +-1.015626 O b'-1:lemma:until'
506 +-1.019941 Gtype b'lemma[:1]:r'
507 +-1.020871 Anti b'postag:NNP'
508 +-1.021292 Gtype b'lemma[:1]:a'
509 +-1.043259 O b'+1:lemma:+'
510 +-1.064769 O b'-1:lemma:ml'
511 +-1.086182 O b'lemma[:2]:30'
512 +-1.110227 O b'lemma:soxs-8myc'
513 +-1.112350 O b'lemma:rifampicin'
514 +-1.121024 O b'+1:lemma:mm'
515 +-1.200742 O b'lemma:0.3'
516 +-1.229817 O b'lemma[:2]:me'
517 +-1.241013 O b'-1:postag::'
518 +-1.292670 Supp b'hGreek'
519 +-1.298761 O b'-1:lemma:1'
520 +-1.329722 Supp b'+1:lemma:-lrb-'
521 +-1.340009 O b'lemma[:2]:ae'
522 +-1.343861 Supp b'+1:postag:-LRB-'
523 +-1.407876 OD b'+1:postag:NN'
524 +-1.634875 O b'-1:lemma:fresh'
525 +-1.659704 O b'+1:lemma:1'
526 +-1.811326 Supp b'lemma[:1]:c'
527 +-1.853339 O b'-1:lemma:sample'
528 +-1.870273 Air b'postag:NN'
529 +-2.008997 Supp b'+1:lemma:,'
530 +-2.008997 Supp b'+1:postag:,'
531 +-2.030519 O b'+1:lemma:in'
532 +-2.074714 O b'-1:postag:VBG'
533 +-2.120965 Temp b'+1:postag:IN'
534 +-2.153912 O b'+1:lemma:2'
535 +-2.533264 O b'-1:lemma:vol'
536 +-2.654052 O b'-1:lemma:2'
537 +-2.901215 O b'lemma[:2]:fl'
538 +-4.156418 O b'-1:lemma:_'
539 +-4.945535 O b'-1:lemma::'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.11720815886647881, 'c2': 0.026187454028628224}
5 +best CV score:0.8623150078546968
6 +model size: 0.12M
7 +
8 +Flat F1: 0.7729583914691408
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 0.955 0.913 0.933 23
14 + Med 1.000 0.925 0.961 53
15 + Temp 1.000 0.690 0.816 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.875 0.933 0.903 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 0.579 1.000 0.733 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.877 0.753 0.810 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.735 0.806 0.769 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.811 0.752 0.773 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 5.534350
32 +Anti -> Anti 5.202035
33 +OD -> OD 5.162013
34 +Agit -> Agit 5.101850
35 +Supp -> Supp 4.862669
36 +Med -> Med 4.742631
37 +Gtype -> Gtype 4.690492
38 +Gversion -> Gversion 4.253159
39 +Phase -> Phase 4.193306
40 +O -> O 4.143359
41 +Air -> Air 4.079274
42 +Technique -> Technique 3.737825
43 +pH -> pH 2.701172
44 +Substrain -> Gtype 1.413086
45 +Gtype -> Supp 1.215131
46 +O -> Gtype 1.183861
47 +O -> Technique 1.124196
48 +Gtype -> Air 0.906865
49 +O -> Supp 0.894361
50 +Air -> O 0.782291
51 +Technique -> Air 0.697709
52 +Gtype -> pH 0.616305
53 +Temp -> O 0.413091
54 +Supp -> O 0.344753
55 +O -> Temp 0.252965
56 +O -> Anti 0.243401
57 +Med -> O 0.118001
58 +O -> pH 0.044367
59 +Strain -> O 0.008900
60 +O -> Phase 0.000404
61 +O -> Gversion 0.000174
62 +O -> Agit -0.000001
63 +OD -> O -0.000957
64 +O -> OD -0.000978
65 +Anti -> Med -0.003482
66 +Phase -> O -0.006839
67 +Technique -> O -0.130344
68 +Agit -> O -0.145879
69 +Air -> Supp -0.189667
70 +O -> Med -0.260087
71 +Phase -> Supp -0.337496
72 +Gtype -> Anti -0.357408
73 +Phase -> OD -0.410012
74 +OD -> Air -0.412447
75 +Air -> Temp -0.475634
76 +Gtype -> Med -0.476794
77 +Air -> Phase -0.503738
78 +Gtype -> O -0.571166
79 +Air -> Med -0.589897
80 +O -> Air -0.677813
81 +
82 +
83 +Top unlikely transitions:
84 +Med -> Med 4.742631
85 +Gtype -> Gtype 4.690492
86 +Gversion -> Gversion 4.253159
87 +Phase -> Phase 4.193306
88 +O -> O 4.143359
89 +Air -> Air 4.079274
90 +Technique -> Technique 3.737825
91 +pH -> pH 2.701172
92 +Substrain -> Gtype 1.413086
93 +Gtype -> Supp 1.215131
94 +O -> Gtype 1.183861
95 +O -> Technique 1.124196
96 +Gtype -> Air 0.906865
97 +O -> Supp 0.894361
98 +Air -> O 0.782291
99 +Technique -> Air 0.697709
100 +Gtype -> pH 0.616305
101 +Temp -> O 0.413091
102 +Supp -> O 0.344753
103 +O -> Temp 0.252965
104 +O -> Anti 0.243401
105 +Med -> O 0.118001
106 +O -> pH 0.044367
107 +Strain -> O 0.008900
108 +O -> Phase 0.000404
109 +O -> Gversion 0.000174
110 +O -> Agit -0.000001
111 +OD -> O -0.000957
112 +O -> OD -0.000978
113 +Anti -> Med -0.003482
114 +Phase -> O -0.006839
115 +Technique -> O -0.130344
116 +Agit -> O -0.145879
117 +Air -> Supp -0.189667
118 +O -> Med -0.260087
119 +Phase -> Supp -0.337496
120 +Gtype -> Anti -0.357408
121 +Phase -> OD -0.410012
122 +OD -> Air -0.412447
123 +Air -> Temp -0.475634
124 +Gtype -> Med -0.476794
125 +Air -> Phase -0.503738
126 +Gtype -> O -0.571166
127 +Air -> Med -0.589897
128 +O -> Air -0.677813
129 +Technique -> pH -0.697146
130 +Supp -> Med -0.874957
131 +Technique -> Gtype -0.966031
132 +Substrain -> O -1.152021
133 +Med -> Supp -1.883468
134 +
135 +
136 +Top positive:
137 +5.346056 Air b'word:Aerobic'
138 +4.814989 O b'lemma:_'
139 +4.814989 O b'word:_'
140 +4.683626 Air b'lemma:anaerobic'
141 +4.137422 O b'word:Cra'
142 +3.717067 Air b'postag:RB'
143 +3.648734 Technique b'word:ChIP-Seq'
144 +3.591761 O b'postag:IN'
145 +3.527991 Gtype b'lemma:wt'
146 +3.502005 O b'-1:lemma:ChIP-exo'
147 +3.404088 Gtype b'lemma:wild-type'
148 +3.374603 Air b'word:Anaerobic'
149 +3.313814 Technique b'lemma:ChIP-exo'
150 +3.289286 Supp b'lemma:nh4cl'
151 +3.261253 O b'postag::'
152 +3.210614 Supp b'lemma:Iron'
153 +3.210614 Supp b'word:Iron'
154 +3.210614 Supp b'+1:word:Deficient'
155 +3.205283 Technique b'word:ChIP-exo'
156 +3.177621 Supp b'lemma:pq'
157 +3.177621 Supp b'word:PQ'
158 +3.149226 Technique b'word:ChIPSeq'
159 +3.063798 O b'lemma:2'
160 +3.063798 O b'word:2'
161 +3.039767 Supp b'-1:word:Cra'
162 +2.926997 Strain b'+1:lemma:substr'
163 +2.926997 Strain b'+1:word:substr'
164 +2.924815 Gtype b'lemma:type'
165 +2.924815 Gtype b'word:type'
166 +2.895571 Med b'lemma:MOPS'
167 +2.895571 Med b'word:MOPS'
168 +2.886364 Phase b'lemma:mid-log'
169 +2.886364 Phase b'word:mid-log'
170 +2.877854 O b'lemma:-'
171 +2.877854 O b'word:-'
172 +2.870915 Technique b'lemma:rna-seq'
173 +2.819786 Gtype b'word:WT'
174 +2.808619 O b'lemma:rpob'
175 +2.808619 O b'word:RpoB'
176 +2.775553 O b'lemma:1'
177 +2.775553 O b'word:1'
178 +2.716320 Gversion b'lemma:asm584v2'
179 +2.716320 Gversion b'word:ASM584v2'
180 +2.606208 O b'-1:lemma:tag'
181 +2.586384 O b'lemma:Custom'
182 +2.586384 O b'word:Custom'
183 +2.582328 O b'lemma:.'
184 +2.582328 O b'postag:.'
185 +2.582328 O b'word:.'
186 +2.554026 Gtype b'lemma:\xce\xb4cra'
187 +2.550784 Gtype b'word:\xce\x94cra'
188 +2.548130 O b'lemma:chip'
189 +2.540102 Phase b'lemma:exponential'
190 +2.540102 Phase b'word:exponential'
191 +2.540102 Phase b'lemma:stationary'
192 +2.540102 Phase b'word:stationary'
193 +2.534852 O b'lemma:3'
194 +2.534852 O b'word:3'
195 +2.483583 Supp b'+1:lemma:\xc2\xb5m'
196 +2.483583 Supp b'+1:word:\xc2\xb5M'
197 +2.428266 Gtype b'+1:lemma:type'
198 +2.428266 Gtype b'+1:word:type'
199 +2.423833 Technique b'lemma:chipseq'
200 +2.335552 Supp b'lemma:glucose'
201 +2.335552 Supp b'word:glucose'
202 +2.303572 O b'lemma:b'
203 +2.303572 O b'word:B'
204 +2.275983 Supp b'lemma:arginine'
205 +2.258897 O b'postag:CC'
206 +2.258702 Supp b'lemma:nacl'
207 +2.258702 Supp b'word:NaCl'
208 +2.248340 O b'lemma:a'
209 +2.240067 O b'-1:word:tag'
210 +2.219665 O b'+1:lemma:pq'
211 +2.219665 O b'+1:word:PQ'
212 +2.201128 O b'lemma:ompr'
213 +2.201128 O b'word:OmpR'
214 +2.196031 Supp b'lemma:rifampicin'
215 +2.196031 Supp b'word:rifampicin'
216 +2.166584 Substrain b'lemma:mg1655'
217 +2.166584 Substrain b'word:MG1655'
218 +2.150321 Gtype b'lemma:flag-tag'
219 +2.150321 Gtype b'-1:lemma:c-terminal'
220 +2.150321 Gtype b'word:Flag-tag'
221 +2.150321 Gtype b'-1:word:C-terminal'
222 +2.144846 Gtype b'-1:postag:VBG'
223 +2.133181 pH b'+1:postag:CD'
224 +2.127721 O b'word:A'
225 +2.115852 O b'-1:word:Aerobic'
226 +2.096172 Gtype b'lemma:delta-fnr'
227 +2.096172 Gtype b'word:delta-fnr'
228 +2.095669 Gversion b'lemma:nc'
229 +2.095669 Gversion b'word:NC'
230 +2.056559 Technique b'lemma:rnaseq'
231 +2.056559 Technique b'word:RNASeq'
232 +2.056377 Air b'word:anaerobic'
233 +2.035701 O b'+1:postag:RB'
234 +2.004258 Supp b'lemma:acetate'
235 +2.004258 Supp b'word:acetate'
236 +1.965988 O b'+1:postag:NNP'
237 +1.964752 Gtype b'-1:lemma:\xe2\x88\x86'
238 +1.964752 Gtype b'-1:word:\xe2\x88\x86'
239 +1.910185 Gtype b'lemma:\xe2\x88\x86'
240 +1.910185 Gtype b'word:\xe2\x88\x86'
241 +1.904605 Strain b'lemma:k-12'
242 +1.904605 Strain b'word:K-12'
243 +1.891315 Gtype b'postag:-LRB-'
244 +1.887141 Air b'-1:lemma:ChIP-Seq'
245 +1.887141 Air b'-1:word:ChIP-Seq'
246 +1.880957 Agit b'+1:lemma:rpm'
247 +1.880957 Agit b'+1:word:rpm'
248 +1.877174 O b'postag:VBN'
249 +1.877047 Supp b'-1:lemma:with'
250 +1.877047 Supp b'-1:word:with'
251 +1.865462 Gversion b'-1:lemma:nc'
252 +1.865462 Gversion b'-1:word:NC'
253 +1.861443 Gtype b'lemma:arca8myc'
254 +1.861443 Gtype b'word:ArcA8myc'
255 +1.839749 O b'+1:word:were'
256 +1.838491 O b'+1:word:ChIP-Seq'
257 +1.824231 O b'lemma:rep1'
258 +1.824231 O b'word:rep1'
259 +1.824111 Supp b'lemma:nitrate'
260 +1.824111 Supp b'word:nitrate'
261 +1.816106 O b'-1:lemma:lb'
262 +1.816106 O b'-1:word:LB'
263 +1.809240 Technique b'-1:lemma:chip-exo'
264 +1.802237 Gtype b'word:cra'
265 +1.797362 Agit b'lemma:rpm'
266 +1.797362 Agit b'word:rpm'
267 +1.796466 Anti b'lemma:seqa'
268 +1.796466 Anti b'word:SeqA'
269 +1.788369 Supp b'-1:lemma:Cra'
270 +1.787306 O b'lemma:rep3'
271 +1.787306 O b'word:rep3'
272 +1.759779 O b'isLower'
273 +1.740278 O b'lemma:Cra'
274 +1.724562 O b'lemma:with'
275 +1.724562 O b'word:with'
276 +1.722881 Med b'+1:lemma:0.4'
277 +1.722881 Med b'+1:word:0.4'
278 +1.704798 O b'lemma:at'
279 +1.698923 Gversion b'lemma:chip-seq'
280 +1.683530 Gtype b'lemma:pk4854'
281 +1.683530 Gtype b'word:PK4854'
282 +1.671411 Air b'lemma:aerobic'
283 +1.666004 Vess b'lemma:flask'
284 +1.666004 Vess b'-1:lemma:warm'
285 +1.666004 Vess b'word:flask'
286 +1.666004 Vess b'-1:word:warmed'
287 +1.665360 Gtype b'postag:NN'
288 +1.664894 Supp b'lemma:no3'
289 +1.664894 Supp b'word:NO3'
290 +1.657234 Anti b'lemma:none'
291 +1.657234 Anti b'word:none'
292 +1.654372 O b'lemma:culture'
293 +1.643899 Supp b'-1:lemma:+'
294 +1.643899 Supp b'-1:word:+'
295 +1.641571 Air b'-1:postag::'
296 +1.637039 Supp b'-1:lemma:vol'
297 +1.637039 Supp b'-1:word:vol'
298 +1.618213 Supp b'lemma:dpd'
299 +1.618213 Supp b'word:DPD'
300 +1.611503 O b'-1:lemma:glucose'
301 +1.611503 O b'-1:word:glucose'
302 +1.609875 Anti b'lemma:\xcf\x8332'
303 +1.609875 Anti b'word:\xcf\x8332'
304 +1.607928 Gtype b'lemma:\xce\xb4soxr'
305 +1.607928 Gtype b'word:\xce\x94soxR'
306 +1.605256 Med b'-1:lemma:ml'
307 +1.605256 Med b'-1:word:ml'
308 +1.602162 Technique b'word:RNA-Seq'
309 +1.589352 Air b'lemma:Aerobic'
310 +1.584726 Gversion b'word:ChIP-Seq'
311 +1.580172 Air b'lemma:anaeroibc'
312 +1.580172 Air b'word:Anaeroibc'
313 +1.571537 O b'lemma:\xcf\x8332'
314 +1.571537 O b'word:\xcf\x8332'
315 +1.571064 Supp b'lemma:Leu'
316 +1.571064 Supp b'word:Leu'
317 +1.570481 Gtype b'lemma:\xce\xb4fur'
318 +1.570481 Gtype b'word:\xce\x94fur'
319 +1.563108 O b'-1:lemma:0.3'
320 +1.563108 O b'-1:word:0.3'
321 +1.559415 Vess b'-1:postag:VBN'
322 +1.558118 O b'lemma::'
323 +1.558118 O b'word::'
324 +1.538469 Med b'lemma:broth'
325 +1.538469 Med b'-1:lemma:L'
326 +1.538469 Med b'word:broth'
327 +1.538469 Med b'-1:word:L'
328 +1.521808 Gtype b'+1:lemma:with'
329 +1.521808 Gtype b'+1:word:with'
330 +1.520140 Air b'lemma:anaerobically'
331 +1.520140 Air b'word:anaerobically'
332 +1.513230 Supp b'lemma:Fe'
333 +1.513230 Supp b'word:Fe'
334 +1.508184 O b'-1:lemma:wt'
335 +1.482348 Gtype b'word:Wild-type'
336 +1.478153 O b'lemma:harbor'
337 +
338 +
339 +Top negative:
340 +-0.165864 O b'word:glucose'
341 +-0.166177 Supp b'lemma:10'
342 +-0.166177 Supp b'word:10'
343 +-0.167098 Air b'isLower'
344 +-0.167761 O b'-1:word:from'
345 +-0.171430 O b'-1:lemma:delta'
346 +-0.171430 O b'-1:word:delta'
347 +-0.173899 O b'+1:word:was'
348 +-0.175064 O b'-1:lemma:final'
349 +-0.175064 O b'-1:word:final'
350 +-0.175415 O b'+1:lemma:for'
351 +-0.175588 O b'-1:lemma:sodium'
352 +-0.175588 O b'-1:word:Sodium'
353 +-0.176424 O b'-1:lemma:m'
354 +-0.176424 O b'-1:word:M'
355 +-0.177631 O b'-1:postag:DT'
356 +-0.184729 Supp b'+1:lemma:rifampicin'
357 +-0.184729 Supp b'+1:word:rifampicin'
358 +-0.185903 O b'lemma:fructose'
359 +-0.185903 O b'word:fructose'
360 +-0.186123 Air b'-1:postag:VBN'
361 +-0.189612 O b'word:cells'
362 +-0.196713 O b'-1:lemma:1m'
363 +-0.196713 O b'-1:word:1M'
364 +-0.207755 O b'-1:lemma:cra'
365 +-0.208558 O b'+1:word:C'
366 +-0.208657 Med b'+1:postag:NN'
367 +-0.233153 O b'word:ChIP-exo'
368 +-0.245194 Supp b'+1:lemma:dpd'
369 +-0.245194 Supp b'+1:word:DPD'
370 +-0.252316 O b'-1:word:the'
371 +-0.254853 O b'+1:lemma:.'
372 +-0.254853 O b'+1:postag:.'
373 +-0.254853 O b'+1:word:.'
374 +-0.256451 O b'+1:lemma:until'
375 +-0.256451 O b'+1:word:until'
376 +-0.258020 O b'-1:postag:JJ'
377 +-0.259972 O b'lemma:20'
378 +-0.259972 O b'word:20'
379 +-0.260590 Med b'+1:postag:IN'
380 +-0.262788 O b'-1:lemma:the'
381 +-0.270489 Phase b'+1:postag:NN'
382 +-0.272030 Gtype b'+1:postag:CD'
383 +-0.288673 pH b'postag:NN'
384 +-0.294614 O b'+1:lemma:supplement'
385 +-0.294614 O b'+1:word:supplemented'
386 +-0.295450 Technique b'-1:postag::'
387 +-0.298173 OD b'isNumber'
388 +-0.300823 O b'+1:postag:-LRB-'
389 +-0.316781 O b'lemma:minimal'
390 +-0.316781 O b'word:minimal'
391 +-0.331660 O b'-1:postag:-LRB-'
392 +-0.339761 O b'-1:lemma:mm'
393 +-0.339761 O b'-1:word:mM'
394 +-0.342651 O b'-1:lemma:n2'
395 +-0.342651 O b'-1:word:N2'
396 +-0.348976 O b'-1:lemma:37'
397 +-0.348976 O b'-1:word:37'
398 +-0.350719 pH b'isUpper'
399 +-0.355836 O b'lemma:medium'
400 +-0.355836 O b'word:medium'
401 +-0.358797 O b'-1:lemma:co2'
402 +-0.358797 O b'-1:word:CO2'
403 +-0.360206 O b'lemma:37'
404 +-0.360206 O b'word:37'
405 +-0.363212 Anti b'isUpper'
406 +-0.363229 O b'lemma:aerobically'
407 +-0.363229 O b'word:aerobically'
408 +-0.387107 O b'-1:lemma:ph'
409 +-0.387107 O b'-1:word:pH'
410 +-0.388937 Air b'-1:postag:CC'
411 +-0.403999 Supp b'+1:lemma:acetate'
412 +-0.403999 Supp b'+1:word:acetate'
413 +-0.405755 O b'+1:postag:IN'
414 +-0.405984 Supp b'-1:lemma:-lrb-'
415 +-0.405984 Supp b'-1:word:-LRB-'
416 +-0.407871 O b'lemma:\xce\xb4fur'
417 +-0.407871 O b'word:\xce\x94fur'
418 +-0.410756 O b'lemma:mid-log'
419 +-0.410756 O b'word:mid-log'
420 +-0.413451 Gtype b'+1:lemma:-lrb-'
421 +-0.413451 Gtype b'+1:word:-LRB-'
422 +-0.415001 O b'lemma:nitrate'
423 +-0.415001 O b'word:nitrate'
424 +-0.418409 Gtype b'-1:postag:CD'
425 +-0.421257 Supp b'+1:lemma:fructose'
426 +-0.421257 Supp b'+1:word:fructose'
427 +-0.422476 O b'+1:postag:-RRB-'
428 +-0.439758 Supp b'+1:lemma:nacl'
429 +-0.439758 Supp b'+1:word:NaCl'
430 +-0.439850 Supp b'-1:postag:-LRB-'
431 +-0.441680 O b'+1:lemma:2.0'
432 +-0.441680 O b'+1:word:2.0'
433 +-0.451586 O b'-1:lemma:until'
434 +-0.451586 O b'-1:word:until'
435 +-0.452607 Air b'-1:lemma:or'
436 +-0.452607 Air b'-1:word:or'
437 +-0.458248 Med b'-1:postag:NN'
438 +-0.459831 O b'+1:lemma:+'
439 +-0.459831 O b'+1:word:+'
440 +-0.460799 O b'-1:lemma:dissolve'
441 +-0.460799 O b'+1:lemma:methanol'
442 +-0.460799 O b'-1:word:dissolved'
443 +-0.460799 O b'+1:word:methanol'
444 +-0.475659 O b'-1:lemma:rpob'
445 +-0.475659 O b'-1:word:RpoB'
446 +-0.489439 O b'-1:lemma:chip-exo'
447 +-0.516959 O b'lemma:methanol'
448 +-0.516959 O b'word:methanol'
449 +-0.519060 O b'lemma:0.3'
450 +-0.519060 O b'word:0.3'
451 +-0.521823 O b'-1:lemma:\xe2\x88\x86'
452 +-0.521823 O b'-1:word:\xe2\x88\x86'
453 +-0.532528 Supp b'postag:CC'
454 +-0.555308 O b'+1:lemma:at'
455 +-0.555308 O b'+1:word:at'
456 +-0.568935 O b'+1:word:ChIP-exo'
457 +-0.587243 pH b'isLower'
458 +-0.598998 O b'lemma:anaerobically'
459 +-0.598998 O b'word:anaerobically'
460 +-0.601761 O b'lemma:30'
461 +-0.601761 O b'word:30'
462 +-0.604543 Phase b'isUpper'
463 +-0.609562 O b'+1:lemma:1m'
464 +-0.609562 O b'+1:word:1M'
465 +-0.624149 O b'+1:lemma:g/l'
466 +-0.624149 O b'+1:word:g/L'
467 +-0.632418 O b'-1:lemma:30'
468 +-0.632418 O b'-1:word:30'
469 +-0.633125 O b'lemma:2h'
470 +-0.633125 O b'-1:lemma:additional'
471 +-0.633125 O b'word:2h'
472 +-0.633125 O b'-1:word:additional'
473 +-0.634616 O b'+1:lemma:mm'
474 +-0.634616 O b'+1:word:mM'
475 +-0.640250 Air b'+1:postag:JJ'
476 +-0.653940 O b'lemma:of'
477 +-0.653940 O b'word:of'
478 +-0.659372 O b'-1:postag:IN'
479 +-0.692700 O b'-1:lemma:nsrr'
480 +-0.692700 O b'-1:word:NsrR'
481 +-0.702058 O b'lemma:wt'
482 +-0.715997 Supp b'-1:postag:NNP'
483 +-0.732594 O b'-1:lemma:ml'
484 +-0.732594 O b'-1:word:ml'
485 +-0.739666 Supp b'+1:postag:VBN'
486 +-0.740410 O b'lemma:nitrogen'
487 +-0.740410 O b'word:nitrogen'
488 +-0.774393 O b'-1:lemma:1'
489 +-0.774393 O b'-1:word:1'
490 +-0.775963 Med b'-1:postag:IN'
491 +-0.800588 O b'-1:lemma:2'
492 +-0.800588 O b'-1:word:2'
493 +-0.803460 O b'lemma:media'
494 +-0.803460 O b'word:media'
495 +-0.804540 O b'-1:postag::'
496 +-0.811529 O b'-1:lemma:IP'
497 +-0.811529 O b'-1:word:IP'
498 +-0.838460 Air b'postag:NN'
499 +-0.839107 O b'postag:RB'
500 +-0.861540 O b'-1:lemma:fresh'
501 +-0.861540 O b'-1:word:fresh'
502 +-0.888556 O b'+1:lemma:1'
503 +-0.888556 O b'+1:word:1'
504 +-0.893910 Temp b'postag:NN'
505 +-0.912818 O b'-1:lemma:sample'
506 +-0.918416 O b'+1:postag:VBG'
507 +-0.932692 Gtype b'isUpper'
508 +-0.946508 Agit b'isUpper'
509 +-0.991033 Gtype b'isLower'
510 +-1.014529 O b'+1:lemma:in'
511 +-1.014529 O b'+1:word:in'
512 +-1.018421 Technique b'isNumber'
513 +-1.123268 O b'lemma:rifampicin'
514 +-1.123268 O b'word:rifampicin'
515 +-1.152939 Technique b'isLower'
516 +-1.187285 Supp b'+1:lemma:-lrb-'
517 +-1.187285 Supp b'+1:word:-LRB-'
518 +-1.223419 Supp b'+1:postag:-LRB-'
519 +-1.268612 O b'postag:VBP'
520 +-1.279408 O b'+1:lemma:2'
521 +-1.279408 O b'+1:word:2'
522 +-1.359325 Gtype b'isNumber'
523 +-1.384781 Supp b'+1:lemma:,'
524 +-1.384781 Supp b'+1:postag:,'
525 +-1.384781 Supp b'+1:word:,'
526 +-1.428559 O b'-1:lemma:vol'
527 +-1.428559 O b'-1:word:vol'
528 +-1.432202 Gversion b'isLower'
529 +-1.530158 Supp b'postag:JJ'
530 +-1.621285 OD b'+1:postag:NN'
531 +-1.631452 Phase b'postag:JJ'
532 +-1.756839 Temp b'+1:postag:IN'
533 +-1.806660 Anti b'postag:NNP'
534 +-1.859199 Phase b'-1:postag:JJ'
535 +-1.984210 O b'-1:lemma:_'
536 +-1.984210 O b'-1:word:_'
537 +-2.026219 O b'-1:postag:VBG'
538 +-2.285116 O b'-1:lemma::'
539 +-2.285116 O b'-1:word::'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.025397838188738985, 'c2': 0.010943674737961755}
5 +best CV score:0.866151069813274
6 +model size: 0.15M
7 +
8 +Flat F1: 0.7919663066130411
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 0.955 0.913 0.933 23
14 + Med 1.000 0.925 0.961 53
15 + Temp 1.000 0.724 0.840 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.882 1.000 0.938 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.886 0.824 0.854 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.745 0.806 0.774 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.826 0.769 0.792 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 5.760887
32 +Med -> Med 5.678477
33 +Anti -> Anti 5.326115
34 +Agit -> Agit 5.286360
35 +Supp -> Supp 5.206097
36 +Gtype -> Gtype 5.054366
37 +OD -> OD 4.762019
38 +O -> O 4.584226
39 +Gversion -> Gversion 4.568451
40 +Phase -> Phase 4.187286
41 +Technique -> Technique 4.138629
42 +Air -> Air 4.000035
43 +pH -> pH 2.729965
44 +Substrain -> Gtype 1.627917
45 +O -> Technique 1.124864
46 +O -> Gtype 0.872372
47 +Technique -> Air 0.731367
48 +Gtype -> Supp 0.637844
49 +Gtype -> Air 0.628544
50 +Gtype -> pH 0.590887
51 +Temp -> O 0.369557
52 +Air -> O 0.111207
53 +O -> Temp 0.069854
54 +Strain -> O 0.060323
55 +O -> pH 0.012969
56 +O -> Gversion 0.008119
57 +O -> Anti 0.005882
58 +O -> Strain -0.000031
59 +O -> Substrain -0.000043
60 +Supp -> Gversion -0.000207
61 +Vess -> O -0.012750
62 +Phase -> Anti -0.021251
63 +Supp -> OD -0.026454
64 +Gtype -> OD -0.036196
65 +O -> Phase -0.036759
66 +pH -> O -0.045025
67 +Phase -> Air -0.050032
68 +Phase -> Technique -0.056805
69 +Gtype -> Technique -0.057557
70 +Supp -> Phase -0.061193
71 +Med -> O -0.061484
72 +O -> Supp -0.071678
73 +Agit -> O -0.081937
74 +Anti -> Gtype -0.086639
75 +Anti -> Phase -0.088763
76 +OD -> Med -0.098634
77 +Supp -> pH -0.101552
78 +Supp -> O -0.105915
79 +Gtype -> Phase -0.115027
80 +pH -> Supp -0.117891
81 +
82 +
83 +Top unlikely transitions:
84 +O -> Supp -0.071678
85 +Agit -> O -0.081937
86 +Anti -> Gtype -0.086639
87 +Anti -> Phase -0.088763
88 +OD -> Med -0.098634
89 +Supp -> pH -0.101552
90 +Supp -> O -0.105915
91 +Gtype -> Phase -0.115027
92 +pH -> Supp -0.117891
93 +Gtype -> Gversion -0.121895
94 +Anti -> O -0.201256
95 +Technique -> Supp -0.229809
96 +Gversion -> O -0.230521
97 +Med -> Air -0.267137
98 +O -> Agit -0.281266
99 +Gversion -> Supp -0.287197
100 +Supp -> Gtype -0.291702
101 +Anti -> Supp -0.353269
102 +Technique -> OD -0.362376
103 +Technique -> O -0.381273
104 +Supp -> Anti -0.420491
105 +Anti -> Temp -0.442117
106 +Air -> OD -0.473267
107 +Temp -> Air -0.506469
108 +O -> OD -0.516111
109 +Air -> Agit -0.518285
110 +OD -> Supp -0.549851
111 +OD -> O -0.692796
112 +Gtype -> O -0.708611
113 +Supp -> Air -0.710521
114 +Gtype -> Anti -0.742633
115 +Gtype -> Med -0.747450
116 +Phase -> Med -0.781570
117 +OD -> Air -0.812786
118 +O -> Med -0.889466
119 +Agit -> Air -0.930785
120 +Phase -> OD -0.941459
121 +Technique -> pH -1.069982
122 +Phase -> Supp -1.109907
123 +Air -> Med -1.179927
124 +Air -> Phase -1.299860
125 +Substrain -> O -1.308161
126 +Temp -> Med -1.308517
127 +Phase -> O -1.327800
128 +Air -> Temp -1.331056
129 +Air -> Supp -1.346362
130 +O -> Air -1.390028
131 +Technique -> Gtype -1.424338
132 +Supp -> Med -1.619256
133 +Med -> Supp -2.800528
134 +
135 +
136 +Top positive:
137 +5.583316 Air b'word:Aerobic'
138 +5.568452 O b'lemma:_'
139 +5.568452 O b'word:_'
140 +5.408845 O b'word:Cra'
141 +4.999592 Air b'lemma:anaerobic'
142 +4.519603 Supp b'-1:word:Cra'
143 +4.085441 Technique b'word:ChIP-Seq'
144 +4.045495 Gtype b'lemma:wt'
145 +4.028624 Phase b'lemma:exponential'
146 +4.028624 Phase b'word:exponential'
147 +4.028624 Phase b'lemma:stationary'
148 +4.028624 Phase b'word:stationary'
149 +3.845256 Gtype b'lemma:wild-type'
150 +3.774295 Supp b'lemma:Iron'
151 +3.774295 Supp b'word:Iron'
152 +3.774295 Supp b'+1:word:Deficient'
153 +3.734294 O b'lemma:-'
154 +3.734294 O b'word:-'
155 +3.706486 Supp b'lemma:nh4cl'
156 +3.556725 O b'+1:postag:RB'
157 +3.535557 Phase b'lemma:mid-log'
158 +3.535557 Phase b'word:mid-log'
159 +3.518403 Air b'word:Anaerobic'
160 +3.506387 Air b'postag:RB'
161 +3.497482 O b'-1:lemma:ChIP-exo'
162 +3.467179 Med b'lemma:MOPS'
163 +3.467179 Med b'word:MOPS'
164 +3.455080 Gtype b'word:WT'
165 +3.454991 Technique b'lemma:ChIP-exo'
166 +3.420923 Gtype b'lemma:\xce\xb4cra'
167 +3.417588 Gtype b'word:\xce\x94cra'
168 +3.314327 Supp b'lemma:pq'
169 +3.314327 Supp b'word:PQ'
170 +3.305655 Technique b'word:ChIPSeq'
171 +3.233996 O b'lemma:rpob'
172 +3.233996 O b'word:RpoB'
173 +3.230643 O b'-1:word:tag'
174 +3.215437 Technique b'word:ChIP-exo'
175 +3.209263 Gversion b'lemma:asm584v2'
176 +3.209263 Gversion b'word:ASM584v2'
177 +3.172641 O b'lemma:at'
178 +3.144467 O b'lemma:Custom'
179 +3.144467 O b'word:Custom'
180 +3.098885 Technique b'lemma:rna-seq'
181 +3.054449 O b'lemma:2'
182 +3.054449 O b'word:2'
183 +3.034553 Supp b'+1:lemma:\xc2\xb5m'
184 +3.034553 Supp b'+1:word:\xc2\xb5M'
185 +3.000931 O b'-1:lemma:tag'
186 +2.989138 O b'lemma:.'
187 +2.989138 O b'postag:.'
188 +2.989138 O b'word:.'
189 +2.981955 Strain b'+1:lemma:substr'
190 +2.981955 Strain b'+1:word:substr'
191 +2.977816 Technique b'lemma:chipseq'
192 +2.916006 O b'lemma:1'
193 +2.916006 O b'word:1'
194 +2.871451 Supp b'postag:VBP'
195 +2.856639 Gtype b'lemma:delta-fnr'
196 +2.856639 Gtype b'word:delta-fnr'
197 +2.843912 O b'lemma:ompr'
198 +2.843912 O b'word:OmpR'
199 +2.751390 Supp b'lemma:nacl'
200 +2.751390 Supp b'word:NaCl'
201 +2.716201 O b'+1:lemma:pq'
202 +2.716201 O b'+1:word:PQ'
203 +2.704016 O b'postag:CC'
204 +2.702834 O b'lemma:a'
205 +2.688516 O b'lemma:b'
206 +2.688516 O b'word:B'
207 +2.677526 Gtype b'lemma:flag-tag'
208 +2.677526 Gtype b'-1:lemma:c-terminal'
209 +2.677526 Gtype b'word:Flag-tag'
210 +2.677526 Gtype b'-1:word:C-terminal'
211 +2.654486 O b'lemma:with'
212 +2.654486 O b'word:with'
213 +2.651693 O b'postag:IN'
214 +2.649950 Gtype b'lemma:type'
215 +2.649950 Gtype b'word:type'
216 +2.636720 O b'lemma:3'
217 +2.636720 O b'word:3'
218 +2.631937 O b'-1:lemma:lb'
219 +2.631937 O b'-1:word:LB'
220 +2.618290 Supp b'lemma:glucose'
221 +2.618290 Supp b'word:glucose'
222 +2.608453 O b'-1:word:Aerobic'
223 +2.600667 Supp b'lemma:arginine'
224 +2.585328 O b'lemma:chip'
225 +2.578251 Supp b'lemma:rifampicin'
226 +2.578251 Supp b'word:rifampicin'
227 +2.573636 Supp b'+1:lemma:Deficient'
228 +2.514589 O b'postag::'
229 +2.492658 O b'lemma:Cra'
230 +2.487492 Substrain b'lemma:mg1655'
231 +2.487492 Substrain b'word:MG1655'
232 +2.478149 Air b'word:anaerobic'
233 +2.456656 Gversion b'-1:lemma:nc'
234 +2.456656 Gversion b'-1:word:NC'
235 +2.452611 Anti b'lemma:seqa'
236 +2.452611 Anti b'word:SeqA'
237 +2.445869 O b'postag:VBN'
238 +2.441392 O b'word:A'
239 +2.434041 O b'+1:postag:NNP'
240 +2.430022 O b'-1:lemma:0.3'
241 +2.430022 O b'-1:word:0.3'
242 +2.411145 Air b'lemma:Aerobic'
243 +2.390202 Supp b'lemma:Leu'
244 +2.390202 Supp b'word:Leu'
245 +2.387116 Gtype b'lemma:arca8myc'
246 +2.387116 Gtype b'word:ArcA8myc'
247 +2.375840 Technique b'word:RNA-Seq'
248 +2.359444 O b'-1:lemma:glucose'
249 +2.359444 O b'-1:word:glucose'
250 +2.351625 Strain b'lemma:k-12'
251 +2.351625 Strain b'word:K-12'
252 +2.318240 Supp b'-1:lemma:Cra'
253 +2.291182 Gversion b'lemma:chip-seq'
254 +2.291116 Anti b'lemma:none'
255 +2.291116 Anti b'word:none'
256 +2.290566 Gversion b'lemma:nc'
257 +2.290566 Gversion b'word:NC'
258 +2.284268 O b'+1:lemma:or'
259 +2.284268 O b'+1:word:or'
260 +2.283438 O b'lemma::'
261 +2.283438 O b'word::'
262 +2.263553 Supp b'lemma:acetate'
263 +2.263553 Supp b'word:acetate'
264 +2.260492 O b'-1:lemma:0.3-0.35'
265 +2.260492 O b'-1:word:0.3-0.35'
266 +2.253939 Gversion b'word:ChIP-Seq'
267 +2.250232 Technique b'lemma:rnaseq'
268 +2.250232 Technique b'word:RNASeq'
269 +2.232794 O b'+1:word:ChIP-Seq'
270 +2.229103 Med b'-1:lemma:ml'
271 +2.229103 Med b'-1:word:ml'
272 +2.227590 O b'lemma:culture'
273 +2.224596 Gtype b'+1:lemma:type'
274 +2.224596 Gtype b'+1:word:type'
275 +2.200566 O b'lemma:rep3'
276 +2.200566 O b'word:rep3'
277 +2.182661 Anti b'lemma:\xcf\x8332'
278 +2.182661 Anti b'word:\xcf\x8332'
279 +2.181231 Air b'lemma:anaeroibc'
280 +2.181231 Air b'word:Anaeroibc'
281 +2.181006 Gtype b'lemma:wildtype'
282 +2.179557 Supp b'lemma:no3'
283 +2.179557 Supp b'word:NO3'
284 +2.168687 O b'+1:word:were'
285 +2.168597 O b'lemma:rep1'
286 +2.168597 O b'word:rep1'
287 +2.167529 Air b'lemma:aerobically'
288 +2.167529 Air b'word:aerobically'
289 +2.141925 Supp b'-1:lemma:+'
290 +2.141925 Supp b'-1:word:+'
291 +2.141556 Air b'-1:lemma:ChIP-Seq'
292 +2.141556 Air b'-1:word:ChIP-Seq'
293 +2.136723 Temp b'+1:lemma:in'
294 +2.136723 Temp b'+1:word:in'
295 +2.120975 Vess b'lemma:flask'
296 +2.120975 Vess b'-1:lemma:warm'
297 +2.120975 Vess b'word:flask'
298 +2.120975 Vess b'-1:word:warmed'
299 +2.115337 Gtype b'-1:lemma:\xe2\x88\x86'
300 +2.115337 Gtype b'-1:word:\xe2\x88\x86'
301 +2.111591 Gtype b'lemma:\xce\xb4soxr'
302 +2.111591 Gtype b'word:\xce\x94soxR'
303 +2.087111 Technique b'-1:lemma:chip-exo'
304 +2.073917 Gtype b'word:cra'
305 +2.071081 Agit b'+1:lemma:rpm'
306 +2.071081 Agit b'+1:word:rpm'
307 +2.070334 Agit b'lemma:rpm'
308 +2.070334 Agit b'word:rpm'
309 +2.067325 Gtype b'lemma:dfnr'
310 +2.067325 Gtype b'word:dFNR'
311 +2.061229 Air b'lemma:anaerobically'
312 +2.061229 Air b'word:anaerobically'
313 +2.054028 Supp b'-1:lemma:with'
314 +2.054028 Supp b'-1:word:with'
315 +2.046181 O b'postag:VBG'
316 +2.032013 Supp b'lemma:Fe'
317 +2.032013 Supp b'word:Fe'
318 +2.030145 pH b'+1:postag:CD'
319 +2.022741 Med b'-1:lemma:fresh'
320 +2.022741 Med b'-1:word:fresh'
321 +2.019221 Gtype b'+1:lemma:with'
322 +2.019221 Gtype b'+1:word:with'
323 +2.012561 Air b'lemma:aerobic'
324 +2.012064 Gtype b'-1:postag:VBG'
325 +2.011339 Med b'+1:lemma:0.4'
326 +2.011339 Med b'+1:word:0.4'
327 +2.009320 Supp b'lemma:Adenine'
328 +2.009320 Supp b'word:Adenine'
329 +2.007291 Air b'-1:postag::'
330 +1.983786 Anti b'+1:postag:VBN'
331 +1.983224 O b'-1:lemma:into'
332 +1.983224 O b'-1:word:into'
333 +1.964035 O b'lemma:rep2'
334 +1.964035 O b'word:rep2'
335 +1.959783 Gtype b'lemma:pk4854'
336 +1.959783 Gtype b'word:PK4854'
337 +
338 +
339 +Top negative:
340 +-0.303383 Temp b'isLower'
341 +-0.309535 Air b'-1:postag:JJ'
342 +-0.310017 Supp b'postag:-LRB-'
343 +-0.317396 O b'+1:lemma:_'
344 +-0.317396 O b'+1:word:_'
345 +-0.325240 Technique b'-1:postag::'
346 +-0.330686 O b'lemma:20'
347 +-0.330686 O b'word:20'
348 +-0.332939 Gtype b'-1:postag:CD'
349 +-0.338184 O b'+1:lemma:minimal'
350 +-0.338184 O b'+1:word:minimal'
351 +-0.344465 Gtype b'+1:lemma:-lrb-'
352 +-0.344465 Gtype b'+1:word:-LRB-'
353 +-0.348653 O b'+1:postag:IN'
354 +-0.349230 Strain b'isLower'
355 +-0.358539 O b'-1:lemma:n2'
356 +-0.358539 O b'-1:word:N2'
357 +-0.360467 O b'-1:lemma:ph'
358 +-0.360467 O b'-1:word:pH'
359 +-0.372464 O b'lemma:anaerobic'
360 +-0.376573 O b'-1:lemma:with'
361 +-0.376573 O b'-1:word:with'
362 +-0.386822 O b'-1:lemma:delta'
363 +-0.386822 O b'-1:word:delta'
364 +-0.388023 pH b'isNumber'
365 +-0.388961 O b'-1:postag:IN'
366 +-0.389061 O b'-1:lemma:mm'
367 +-0.389061 O b'-1:word:mM'
368 +-0.402376 O b'+1:lemma:rep2'
369 +-0.402376 O b'+1:word:rep2'
370 +-0.428619 Supp b'+1:lemma:rifampicin'
371 +-0.428619 Supp b'+1:word:rifampicin'
372 +-0.428641 O b'lemma:k-12'
373 +-0.428641 O b'word:K-12'
374 +-0.437232 O b'-1:lemma:co2'
375 +-0.437232 O b'-1:word:CO2'
376 +-0.452931 O b'lemma:glucose'
377 +-0.452931 O b'word:glucose'
378 +-0.457255 O b'lemma:aerobically'
379 +-0.457255 O b'word:aerobically'
380 +-0.457512 O b'+1:lemma:for'
381 +-0.459154 Anti b'+1:lemma:anti-fur'
382 +-0.459154 Anti b'+1:word:anti-Fur'
383 +-0.468795 O b'-1:lemma:dissolve'
384 +-0.468795 O b'+1:lemma:methanol'
385 +-0.468795 O b'-1:word:dissolved'
386 +-0.468795 O b'+1:word:methanol'
387 +-0.471109 Supp b'lemma:and'
388 +-0.471109 Supp b'word:and'
389 +-0.472339 O b'lemma:aerobic'
390 +-0.475261 O b'lemma:0.3'
391 +-0.475261 O b'word:0.3'
392 +-0.483590 Air b'postag:CD'
393 +-0.483923 O b'+1:postag:-RRB-'
394 +-0.497463 Med b'-1:postag:NN'
395 +-0.499049 Supp b'-1:lemma:-lrb-'
396 +-0.499049 Supp b'-1:word:-LRB-'
397 +-0.501219 O b'+1:lemma:1m'
398 +-0.501219 O b'+1:word:1M'
399 +-0.502085 Supp b'+1:postag::'
400 +-0.515749 Supp b'+1:postag:VBN'
401 +-0.519934 O b'+1:lemma:supplement'
402 +-0.519934 O b'+1:word:supplemented'
403 +-0.531150 O b'+1:lemma:until'
404 +-0.531150 O b'+1:word:until'
405 +-0.531590 O b'lemma:methanol'
406 +-0.531590 O b'word:methanol'
407 +-0.534769 O b'lemma:medium'
408 +-0.534769 O b'word:medium'
409 +-0.537022 O b'lemma:fructose'
410 +-0.537022 O b'word:fructose'
411 +-0.537520 O b'lemma:of'
412 +-0.537520 O b'word:of'
413 +-0.537621 O b'+1:lemma:2.0'
414 +-0.537621 O b'+1:word:2.0'
415 +-0.541851 O b'+1:lemma:g/l'
416 +-0.541851 O b'+1:word:g/L'
417 +-0.542060 Supp b'-1:postag:-LRB-'
418 +-0.549971 Med b'lemma:-lrb-'
419 +-0.549971 Med b'word:-LRB-'
420 +-0.564385 O b'word:cells'
421 +-0.577014 Anti b'isUpper'
422 +-0.580839 O b'-1:postag:JJ'
423 +-0.595778 Med b'+1:postag:IN'
424 +-0.613291 Med b'postag:CD'
425 +-0.630342 O b'+1:word:C'
426 +-0.633021 O b'lemma:purify'
427 +-0.636573 Supp b'+1:lemma:acetate'
428 +-0.636573 Supp b'+1:word:acetate'
429 +-0.639384 O b'-1:lemma:2'
430 +-0.639384 O b'-1:word:2'
431 +-0.641103 O b'lemma:37'
432 +-0.641103 O b'word:37'
433 +-0.657693 O b'lemma:mid-log'
434 +-0.657693 O b'word:mid-log'
435 +-0.669108 O b'-1:lemma:chip-exo'
436 +-0.676699 O b'-1:lemma:rpob'
437 +-0.676699 O b'-1:word:RpoB'
438 +-0.683926 Supp b'+1:lemma:fructose'
439 +-0.683926 Supp b'+1:word:fructose'
440 +-0.696629 O b'lemma:\xce\xb4fur'
441 +-0.696629 O b'word:\xce\x94fur'
442 +-0.716858 Med b'postag:-LRB-'
443 +-0.717563 O b'-1:lemma:37'
444 +-0.717563 O b'-1:word:37'
445 +-0.742255 pH b'isUpper'
446 +-0.751253 Air b'postag:NN'
447 +-0.760807 O b'-1:lemma:\xe2\x88\x86'
448 +-0.760807 O b'-1:word:\xe2\x88\x86'
449 +-0.762242 O b'lemma:30'
450 +-0.762242 O b'word:30'
451 +-0.778777 O b'+1:lemma:mm'
452 +-0.778777 O b'+1:word:mM'
453 +-0.782724 O b'lemma:nitrate'
454 +-0.782724 O b'word:nitrate'
455 +-0.783200 O b'-1:lemma:1'
456 +-0.783200 O b'-1:word:1'
457 +-0.788591 Phase b'isUpper'
458 +-0.789080 O b'-1:lemma:30'
459 +-0.789080 O b'-1:word:30'
460 +-0.790624 Supp b'postag:CC'
461 +-0.796125 Gtype b'postag:VBG'
462 +-0.802899 O b'-1:lemma:nsrr'
463 +-0.802899 O b'-1:word:NsrR'
464 +-0.828431 Gtype b'postag::'
465 +-0.831044 O b'lemma:2h'
466 +-0.831044 O b'-1:lemma:additional'
467 +-0.831044 O b'word:2h'
468 +-0.831044 O b'-1:word:additional'
469 +-0.839187 O b'lemma:media'
470 +-0.839187 O b'word:media'
471 +-0.840728 Supp b'postag::'
472 +-0.863650 Air b'-1:lemma:or'
473 +-0.863650 Air b'-1:word:or'
474 +-0.885820 Temp b'postag:NN'
475 +-0.897688 Med b'-1:postag:CD'
476 +-0.900253 pH b'isLower'
477 +-0.911088 O b'-1:lemma:until'
478 +-0.911088 O b'-1:word:until'
479 +-0.944420 O b'+1:word:ChIP-exo'
480 +-0.948977 O b'lemma:anaerobically'
481 +-0.948977 O b'word:anaerobically'
482 +-0.951515 Agit b'isUpper'
483 +-0.983125 Gtype b'isUpper'
484 +-0.988396 O b'+1:lemma:at'
485 +-0.988396 O b'+1:word:at'
486 +-0.995833 Supp b'+1:lemma:nacl'
487 +-0.995833 Supp b'+1:word:NaCl'
488 +-0.997040 O b'-1:lemma:ml'
489 +-0.997040 O b'-1:word:ml'
490 +-1.018669 Supp b'-1:postag:NNP'
491 +-1.037921 O b'lemma:nitrogen'
492 +-1.037921 O b'word:nitrogen'
493 +-1.040146 O b'+1:lemma:1'
494 +-1.040146 O b'+1:word:1'
495 +-1.045534 Med b'-1:postag:IN'
496 +-1.056151 O b'word:ChIP-exo'
497 +-1.089520 O b'lemma:wt'
498 +-1.114097 O b'+1:lemma:+'
499 +-1.114097 O b'+1:word:+'
500 +-1.120376 Gtype b'isLower'
501 +-1.143082 O b'-1:lemma:IP'
502 +-1.143082 O b'-1:word:IP'
503 +-1.158305 OD b'+1:postag:NN'
504 +-1.159364 O b'-1:postag::'
505 +-1.163927 O b'+1:lemma:in'
506 +-1.163927 O b'+1:word:in'
507 +-1.192075 O b'+1:postag:VBG'
508 +-1.203597 O b'postag:RB'
509 +-1.328635 O b'+1:lemma:2'
510 +-1.328635 O b'+1:word:2'
511 +-1.418108 Technique b'isLower'
512 +-1.442615 O b'-1:lemma:sample'
513 +-1.516830 O b'lemma:rifampicin'
514 +-1.516830 O b'word:rifampicin'
515 +-1.534388 Supp b'+1:lemma:-lrb-'
516 +-1.534388 Supp b'+1:word:-LRB-'
517 +-1.563425 Supp b'+1:postag:-LRB-'
518 +-1.574320 Supp b'postag:JJ'
519 +-1.581559 O b'-1:lemma:fresh'
520 +-1.581559 O b'-1:word:fresh'
521 +-1.612036 Gversion b'isLower'
522 +-1.656921 Anti b'postag:NNP'
523 +-1.709765 O b'-1:lemma:vol'
524 +-1.709765 O b'-1:word:vol'
525 +-1.748581 Air b'+1:postag:JJ'
526 +-1.800378 Technique b'isNumber'
527 +-1.802484 O b'postag:VBP'
528 +-1.806249 Supp b'+1:lemma:,'
529 +-1.806249 Supp b'+1:postag:,'
530 +-1.806249 Supp b'+1:word:,'
531 +-2.105469 O b'-1:lemma:_'
532 +-2.105469 O b'-1:word:_'
533 +-2.207206 Gtype b'isNumber'
534 +-2.372723 Phase b'-1:postag:JJ'
535 +-2.553668 O b'-1:postag:VBG'
536 +-2.823830 O b'-1:lemma::'
537 +-2.823830 O b'-1:word::'
538 +-3.368572 Temp b'+1:postag:IN'
539 +-3.402875 Phase b'postag:JJ'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.10934136756341511, 'c2': 0.11233592223188592}
5 +best CV score:0.880070585228673
6 +model size: 0.16M
7 +
8 +Flat F1: 0.7987637165072743
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 0.913 0.955 23
14 + Med 1.000 0.962 0.981 53
15 + Temp 0.909 0.690 0.784 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.875 0.933 0.903 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 0.917 1.000 0.957 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.882 0.788 0.832 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.848 0.791 0.819 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.850 0.758 0.799 451
28 +
29 +
30 +Top likely transitions:
31 +OD -> OD 4.835421
32 +Med -> Med 4.432130
33 +Temp -> Temp 4.381858
34 +Supp -> Supp 4.249606
35 +Anti -> Anti 4.153912
36 +Agit -> Agit 3.968681
37 +Air -> Air 3.831359
38 +Gtype -> Gtype 3.677992
39 +Gversion -> Gversion 3.265155
40 +O -> O 3.210778
41 +Phase -> Phase 3.136151
42 +Technique -> Technique 2.609081
43 +pH -> pH 2.036266
44 +Substrain -> Gtype 0.689009
45 +Air -> O 0.614440
46 +O -> Supp 0.599670
47 +O -> Technique 0.575931
48 +Gtype -> Supp 0.484890
49 +O -> Gtype 0.452540
50 +Technique -> Air 0.313681
51 +Gtype -> Air 0.150938
52 +Med -> O 0.101880
53 +Supp -> O 0.080361
54 +Gtype -> pH 0.018366
55 +O -> Strain -0.000117
56 +Supp -> Temp -0.004625
57 +Air -> Agit -0.004733
58 +O -> OD -0.005112
59 +Anti -> Med -0.010247
60 +pH -> Supp -0.019865
61 +Gversion -> Air -0.021135
62 +Technique -> Gversion -0.026379
63 +Vess -> O -0.027766
64 +Gtype -> OD -0.029261
65 +O -> Substrain -0.033985
66 +Air -> Technique -0.035861
67 +O -> Phase -0.036615
68 +OD -> O -0.041954
69 +Gversion -> Gtype -0.044992
70 +OD -> Supp -0.048485
71 +O -> Gversion -0.055499
72 +Phase -> Gtype -0.077815
73 +Anti -> Temp -0.081500
74 +Phase -> Med -0.087481
75 +Temp -> Med -0.102584
76 +Anti -> Supp -0.104656
77 +Gtype -> Phase -0.110657
78 +Supp -> pH -0.119733
79 +Agit -> Air -0.121190
80 +Gtype -> Temp -0.124907
81 +
82 +
83 +Top unlikely transitions:
84 +OD -> O -0.041954
85 +Gversion -> Gtype -0.044992
86 +OD -> Supp -0.048485
87 +O -> Gversion -0.055499
88 +Phase -> Gtype -0.077815
89 +Anti -> Temp -0.081500
90 +Phase -> Med -0.087481
91 +Temp -> Med -0.102584
92 +Anti -> Supp -0.104656
93 +Gtype -> Phase -0.110657
94 +Supp -> pH -0.119733
95 +Agit -> Air -0.121190
96 +Gtype -> Temp -0.124907
97 +OD -> Technique -0.148325
98 +Supp -> Air -0.175860
99 +Anti -> Gtype -0.176413
100 +Phase -> OD -0.183709
101 +Supp -> Anti -0.184780
102 +Air -> Med -0.197230
103 +O -> Agit -0.219762
104 +Gtype -> Gversion -0.221487
105 +Phase -> Supp -0.230211
106 +Air -> Supp -0.237948
107 +Phase -> Technique -0.238586
108 +Gversion -> Supp -0.239381
109 +Technique -> Supp -0.246780
110 +Supp -> Phase -0.249929
111 +Technique -> OD -0.257903
112 +Air -> Phase -0.275963
113 +Agit -> O -0.288627
114 +Anti -> O -0.319981
115 +Supp -> Gversion -0.332251
116 +OD -> Air -0.336991
117 +Air -> Temp -0.361852
118 +Gtype -> Technique -0.399331
119 +Supp -> Technique -0.405956
120 +Phase -> O -0.432789
121 +Technique -> Gtype -0.440396
122 +Supp -> Gtype -0.441214
123 +Technique -> pH -0.443537
124 +Gtype -> Anti -0.491458
125 +O -> Med -0.522931
126 +Gtype -> Med -0.545579
127 +Gversion -> O -0.619815
128 +O -> Air -0.714655
129 +Gtype -> O -0.835271
130 +Technique -> O -0.871817
131 +Supp -> Med -0.890595
132 +Med -> Supp -0.986516
133 +Substrain -> O -1.034601
134 +
135 +
136 +Top positive:
137 +2.709537 Gtype b'word[:1]:\xce\x94'
138 +2.682016 Technique b'word[:2]:Ch'
139 +2.639969 O b'word[:2]:re'
140 +2.530056 O b'lemma:_'
141 +2.530056 O b'word[:1]:_'
142 +2.530056 O b'word:_'
143 +2.312646 Air b'lemma:anaerobic'
144 +2.190494 O b'lemma:2'
145 +2.190494 O b'word:2'
146 +2.027500 O b'word:A'
147 +1.983858 Air b'word[:2]:An'
148 +1.950019 Air b'word[:2]:Ae'
149 +1.950019 Air b'word:Aerobic'
150 +1.947205 Gtype b'lemma:wt'
151 +1.940543 Gtype b'word[:1]:W'
152 +1.844619 Supp b'-1:word:Cra'
153 +1.822143 Air b'word[:1]:A'
154 +1.818988 O b'word[:1]:S'
155 +1.775674 Technique b'word[:2]:RN'
156 +1.765741 O b'lemma:1'
157 +1.765741 O b'word:1'
158 +1.724942 Phase b'lemma:mid-log'
159 +1.724942 Phase b'word:mid-log'
160 +1.723723 Supp b'word[:1]:I'
161 +1.723541 Gtype b'word[:1]:d'
162 +1.713163 O b'postag::'
163 +1.713163 O b'postag[:1]::'
164 +1.712969 Supp b'+1:lemma:\xc2\xb5m'
165 +1.712969 Supp b'+1:word:\xc2\xb5M'
166 +1.705742 O b'lemma:3'
167 +1.705742 O b'word:3'
168 +1.679949 Gtype b'hGreek'
169 +1.676513 Air b'word[:1]:a'
170 +1.653704 Supp b'-1:postag:CC'
171 +1.616788 O b'-1:lemma:tag'
172 +1.599401 Air b'word[:2]:an'
173 +1.579379 O b'isLower'
174 +1.575060 O b'-1:word:tag'
175 +1.543882 O b'word[:1]:G'
176 +1.542332 Substrain b'word[:2]:MG'
177 +1.517878 Anti b'word[:2]:an'
178 +1.501383 O b'lemma:a'
179 +1.478818 Supp b'word[:2]:ni'
180 +1.475795 Supp b'-1:lemma:with'
181 +1.475795 Supp b'-1:word:with'
182 +1.470736 Gtype b'word[:2]:Fl'
183 +1.468144 Gversion b'word[:2]:00'
184 +1.466264 Gtype b'symb'
185 +1.463246 Gtype b'word[:1]:w'
186 +1.451800 O b'lemma:.'
187 +1.451800 O b'postag:.'
188 +1.451800 O b'postag[:1]:.'
189 +1.451800 O b'word:.'
190 +1.449609 pH b'+1:postag:CD'
191 +1.443950 Supp b'lemma:Iron'
192 +1.443950 Supp b'word[:2]:Ir'
193 +1.443950 Supp b'word:Iron'
194 +1.443950 Supp b'+1:word:Deficient'
195 +1.440541 O b'postag:IN'
196 +1.440541 O b'postag[:1]:I'
197 +1.440541 O b'postag[:2]:IN'
198 +1.432941 O b'word[:2]:ch'
199 +1.423481 O b'word[:2]:ge'
200 +1.416303 O b'word[:1]:-'
201 +1.412935 Strain b'+1:lemma:substr'
202 +1.412935 Strain b'+1:word:substr'
203 +1.409982 O b'lemma:with'
204 +1.409982 O b'word:with'
205 +1.409286 Substrain b'word[:1]:M'
206 +1.405314 O b'lemma:-'
207 +1.405314 O b'word:-'
208 +1.400041 Technique b'word[:1]:R'
209 +1.397927 O b'word[:2]:Rp'
210 +1.391254 O b'word[:1]:B'
211 +1.385270 Technique b'word[:1]:C'
212 +1.383408 O b'word[:1]:C'
213 +1.375474 Supp b'lemma:pq'
214 +1.375474 Supp b'word[:2]:PQ'
215 +1.375474 Supp b'word:PQ'
216 +1.368840 Gtype b'word[:2]:PK'
217 +1.361629 Supp b'word[:2]:gl'
218 +1.355258 Supp b'lemma:arginine'
219 +1.351941 Gtype b'lemma:arca8myc'
220 +1.351941 Gtype b'word:ArcA8myc'
221 +1.348800 pH b'word[:2]:pH'
222 +1.345187 O b'+1:lemma:pq'
223 +1.345187 O b'+1:word:PQ'
224 +1.341451 Gtype b'-1:lemma:\xe2\x88\x86'
225 +1.341451 Gtype b'-1:word:\xe2\x88\x86'
226 +1.330835 Supp b'word[:2]:Fe'
227 +1.329888 Gtype b'word[:1]:t'
228 +1.324689 O b'-1:word:Aerobic'
229 +1.311273 Phase b'word[:2]:ex'
230 +1.293669 Air b'word:anaerobic'
231 +1.281678 OD b'word[:1]:O'
232 +1.279382 Air b'+1:postag:IN'
233 +1.278560 O b'postag:CC'
234 +1.278560 O b'postag[:2]:CC'
235 +1.274647 O b'-1:lemma:lb'
236 +1.274647 O b'-1:word:LB'
237 +1.273896 Phase b'word[:1]:e'
238 +1.263423 O b'word[:2]:Cr'
239 +1.244847 Gtype b'word[:2]:WT'
240 +1.244847 Gtype b'word:WT'
241 +1.236647 Gtype b'word[:1]:F'
242 +1.232072 Technique b'lemma:ChIP-exo'
243 +1.218565 Supp b'lemma:acetate'
244 +1.218565 Supp b'word:acetate'
245 +1.218411 O b'word:Cra'
246 +1.214505 Med b'isUpper'
247 +1.210174 Gtype b'word[:2]:Ar'
248 +1.197926 Supp b'word[:1]:N'
249 +1.194956 Air b'word:Anaerobic'
250 +1.192780 O b'+1:word:were'
251 +1.191655 Supp b'-1:lemma:Cra'
252 +1.188100 Med b'word[:1]:L'
253 +1.185467 O b'+1:postag:RB'
254 +1.185391 Gversion b'-1:lemma:nc'
255 +1.185391 Gversion b'-1:word:NC'
256 +1.182343 Med b'word[:1]:M'
257 +1.178948 Gtype b'word[:2]:cr'
258 +1.165949 pH b'word[:1]:p'
259 +1.163893 O b'word[:1]:R'
260 +1.163629 O b'word[:1]:c'
261 +1.155830 Phase b'lemma:stationary'
262 +1.155830 Phase b'word:stationary'
263 +1.142993 O b'+1:postag:NNP'
264 +1.134168 O b'word[:1]:E'
265 +1.133170 O b'-1:lemma:glucose'
266 +1.133170 O b'-1:word:glucose'
267 +1.132500 Supp b'word[:2]:ac'
268 +1.130901 O b'+1:word:ChIP-Seq'
269 +1.120305 Gtype b'lemma:flag-tag'
270 +1.120305 Gtype b'-1:lemma:c-terminal'
271 +1.120305 Gtype b'word:Flag-tag'
272 +1.120305 Gtype b'-1:word:C-terminal'
273 +1.110588 Supp b'postag:NNP'
274 +1.109954 Technique b'symb'
275 +1.108629 Supp b'+1:lemma:1'
276 +1.108629 Supp b'+1:word:1'
277 +1.105428 O b'lemma:b'
278 +1.105428 O b'word:B'
279 +1.104286 Gtype b'lemma:type'
280 +1.104286 Gtype b'word[:2]:ty'
281 +1.104286 Gtype b'word:type'
282 +1.089168 Gtype b'word[:1]:f'
283 +1.087372 Gversion b'lemma:nc'
284 +1.087372 Gversion b'word[:2]:NC'
285 +1.087372 Gversion b'word:NC'
286 +1.083150 O b'-1:lemma:0.3'
287 +1.083150 O b'-1:word:0.3'
288 +1.081216 O b'lemma:Custom'
289 +1.081216 O b'word:Custom'
290 +1.074470 O b'-1:lemma:anaerobic'
291 +1.073417 Gtype b'lemma:nsrr'
292 +1.073417 Gtype b'word[:2]:Ns'
293 +1.073417 Gtype b'word:NsrR'
294 +1.073408 Gtype b'-1:postag:VBG'
295 +1.057426 Supp b'lemma:rifampicin'
296 +1.057426 Supp b'word:rifampicin'
297 +1.055166 Med b'+1:lemma:0.4'
298 +1.055166 Med b'+1:word:0.4'
299 +1.052666 Supp b'word[:2]:ri'
300 +1.044391 Anti b'word[:1]:a'
301 +1.039713 Supp b'lemma:nacl'
302 +1.039713 Supp b'word:NaCl'
303 +1.030612 Gversion b'lemma:asm584v2'
304 +1.030612 Gversion b'word[:2]:AS'
305 +1.030612 Gversion b'word:ASM584v2'
306 +1.030597 Gversion b'lemma:chip-seq'
307 +1.029930 Med b'word[:1]:m'
308 +1.029515 Gtype b'+1:postag::'
309 +1.026311 Med b'lemma:MOPS'
310 +1.026311 Med b'word[:2]:MO'
311 +1.026311 Med b'word:MOPS'
312 +1.021842 O b'-1:lemma:ChIP-exo'
313 +1.020313 Med b'+1:postag:CD'
314 +1.017584 Anti b'+1:lemma:antibody'
315 +1.017584 Anti b'+1:word:antibody'
316 +1.017141 O b'isNumber'
317 +1.015378 O b'+1:lemma:od600'
318 +1.015378 O b'+1:word:OD600'
319 +1.014672 Gversion b'word:ChIP-Seq'
320 +1.011776 Strain b'lemma:k-12'
321 +1.011776 Strain b'word[:2]:K-'
322 +1.011776 Strain b'word:K-12'
323 +1.008575 Agit b'+1:lemma:rpm'
324 +1.008575 Agit b'+1:word:rpm'
325 +1.005191 O b'word[:2]:Cu'
326 +1.002792 Technique b'-1:lemma:chip-exo'
327 +1.000546 Air b'postag:RB'
328 +1.000546 Air b'postag[:1]:R'
329 +1.000546 Air b'postag[:2]:RB'
330 +0.992188 Supp b'-1:lemma:+'
331 +0.992188 Supp b'-1:word:+'
332 +0.991416 Gtype b'word[:1]:P'
333 +0.986807 O b'lemma:rpob'
334 +0.986807 O b'word:RpoB'
335 +0.985164 Supp b'+1:lemma:mm'
336 +0.985164 Supp b'+1:word:mM'
337 +
338 +
339 +Top negative:
340 +-0.277257 O b'-1:lemma:iptg'
341 +-0.277257 O b'-1:word:IPTG'
342 +-0.279683 O b'-1:lemma:37'
343 +-0.279683 O b'-1:word:37'
344 +-0.279732 O b'word[:2]:ce'
345 +-0.280808 O b'lemma:sodium'
346 +-0.280808 O b'word:Sodium'
347 +-0.283552 O b'lemma:37'
348 +-0.283552 O b'word[:2]:37'
349 +-0.283552 O b'word:37'
350 +-0.285904 O b'-1:lemma:cra'
351 +-0.287226 O b'lemma:fructose'
352 +-0.287226 O b'word:fructose'
353 +-0.287570 O b'word[:2]:gl'
354 +-0.288146 O b'+1:word:C'
355 +-0.288657 O b'postag:RB'
356 +-0.288657 O b'postag[:1]:R'
357 +-0.288657 O b'postag[:2]:RB'
358 +-0.290394 O b'+1:lemma:phosphate'
359 +-0.290394 O b'+1:word:phosphate'
360 +-0.291469 Anti b'+1:lemma:anti-fur'
361 +-0.291469 Anti b'+1:word:anti-Fur'
362 +-0.291608 Med b'-1:postag:CD'
363 +-0.292517 O b'+1:lemma:antibody'
364 +-0.292517 O b'+1:word:antibody'
365 +-0.293015 Temp b'postag:NN'
366 +-0.293202 O b'word:cells'
367 +-0.295080 Substrain b'isLower'
368 +-0.301504 Technique b'-1:postag::'
369 +-0.301563 O b'+1:lemma:rep2'
370 +-0.301563 O b'+1:word:rep2'
371 +-0.303285 Gtype b'-1:lemma:mg1655'
372 +-0.303285 Gtype b'-1:word:MG1655'
373 +-0.312135 pH b'isUpper'
374 +-0.315986 O b'word[:1]:\xce\x94'
375 +-0.318042 O b'-1:lemma:control'
376 +-0.318042 O b'-1:word:control'
377 +-0.320219 O b'word[:1]:F'
378 +-0.320234 O b'-1:lemma:mm'
379 +-0.320234 O b'-1:word:mM'
380 +-0.325890 Phase b'postag[:1]:J'
381 +-0.325890 Phase b'postag[:2]:JJ'
382 +-0.329319 Air b'isUpper'
383 +-0.337579 O b'lemma:of'
384 +-0.337579 O b'word[:2]:of'
385 +-0.337579 O b'word:of'
386 +-0.338232 O b'lemma:30'
387 +-0.338232 O b'word:30'
388 +-0.338512 Gtype b'+1:postag:CD'
389 +-0.340489 pH b'isNumber'
390 +-0.349750 Phase b'postag:JJ'
391 +-0.351290 O b'-1:postag:IN'
392 +-0.351993 Gtype b'postag[:1]:V'
393 +-0.351993 Gtype b'postag[:2]:VB'
394 +-0.352349 OD b'symb'
395 +-0.354429 Gtype b'+1:lemma:-rrb-'
396 +-0.354429 Gtype b'+1:word:-RRB-'
397 +-0.356978 O b'-1:lemma:chip-exo'
398 +-0.365676 Air b'postag[:1]:N'
399 +-0.365676 Air b'postag[:2]:NN'
400 +-0.369913 O b'+1:lemma:at'
401 +-0.369913 O b'+1:word:at'
402 +-0.374701 Supp b'-1:lemma:-lrb-'
403 +-0.374701 Supp b'-1:word:-LRB-'
404 +-0.385565 Supp b'+1:postag:VBN'
405 +-0.385693 O b'word[:1]:4'
406 +-0.396082 Technique b'isNumber'
407 +-0.396613 Med b'-1:postag:NN'
408 +-0.398175 O b'word[:1]:0'
409 +-0.400398 Air b'isLower'
410 +-0.400541 O b'+1:lemma:1m'
411 +-0.400541 O b'+1:word:1M'
412 +-0.406455 O b'+1:lemma:until'
413 +-0.406455 O b'+1:word:until'
414 +-0.406467 O b'lemma:0.3'
415 +-0.406467 O b'word:0.3'
416 +-0.406862 Supp b'-1:postag:NNP'
417 +-0.407709 Vess b'hUpper'
418 +-0.407709 Vess b'hLower'
419 +-0.409808 Air b'-1:lemma:or'
420 +-0.409808 Air b'-1:word:or'
421 +-0.411518 Supp b'-1:postag:-LRB-'
422 +-0.413893 O b'word[:2]:mg'
423 +-0.416294 O b'-1:lemma:\xe2\x88\x86'
424 +-0.416294 O b'-1:word:\xe2\x88\x86'
425 +-0.416443 O b'-1:lemma:dissolve'
426 +-0.416443 O b'+1:lemma:methanol'
427 +-0.416443 O b'-1:word:dissolved'
428 +-0.416443 O b'+1:word:methanol'
429 +-0.416730 O b'-1:lemma:rpob'
430 +-0.416730 O b'-1:word:RpoB'
431 +-0.420106 O b'lemma:mid-log'
432 +-0.420106 O b'word:mid-log'
433 +-0.424246 Supp b'postag:JJ'
434 +-0.424315 Med b'+1:postag:IN'
435 +-0.425368 O b'lemma:2h'
436 +-0.425368 O b'-1:lemma:additional'
437 +-0.425368 O b'word[:2]:2h'
438 +-0.425368 O b'word:2h'
439 +-0.425368 O b'-1:word:additional'
440 +-0.427387 Supp b'postag[:1]:J'
441 +-0.427387 Supp b'postag[:2]:JJ'
442 +-0.432272 O b'-1:lemma:ph'
443 +-0.432272 O b'-1:word:pH'
444 +-0.437208 Agit b'symb'
445 +-0.450378 Air b'+1:postag:JJ'
446 +-0.451134 Med b'symb'
447 +-0.452272 O b'-1:lemma:nsrr'
448 +-0.452272 O b'-1:word:NsrR'
449 +-0.452987 O b'-1:lemma:1'
450 +-0.452987 O b'-1:word:1'
451 +-0.453419 OD b'hUpper'
452 +-0.453419 OD b'hLower'
453 +-0.455390 O b'-1:lemma:30'
454 +-0.455390 O b'-1:word:30'
455 +-0.458645 Strain b'isLower'
456 +-0.473382 O b'+1:word:ChIP-exo'
457 +-0.477433 O b'word[:1]:M'
458 +-0.478284 Air b'-1:postag:JJ'
459 +-0.481981 Med b'-1:postag:IN'
460 +-0.490205 O b'-1:lemma:final'
461 +-0.490205 O b'-1:word:final'
462 +-0.498623 O b'+1:lemma:mm'
463 +-0.498623 O b'+1:word:mM'
464 +-0.504915 O b'-1:lemma:IP'
465 +-0.504915 O b'-1:word:IP'
466 +-0.508549 O b'+1:postag:IN'
467 +-0.527183 O b'-1:lemma:until'
468 +-0.527183 O b'-1:word:until'
469 +-0.534060 O b'+1:lemma:+'
470 +-0.534060 O b'+1:word:+'
471 +-0.536386 O b'-1:lemma:co2'
472 +-0.536386 O b'-1:word:CO2'
473 +-0.546923 Technique b'isLower'
474 +-0.549653 O b'+1:lemma:g/l'
475 +-0.549653 O b'+1:word:g/L'
476 +-0.556331 Agit b'hUpper'
477 +-0.556331 Agit b'hLower'
478 +-0.566036 O b'-1:lemma:fresh'
479 +-0.566036 O b'-1:word:fresh'
480 +-0.589166 O b'word[:2]:pH'
481 +-0.606308 Gtype b'isNumber'
482 +-0.608954 O b'-1:lemma:ml'
483 +-0.608954 O b'-1:word:ml'
484 +-0.636500 Air b'postag:NN'
485 +-0.644243 Air b'symb'
486 +-0.644631 O b'-1:lemma:sample'
487 +-0.645479 O b'word[:1]:K'
488 +-0.647685 O b'word[:2]:ri'
489 +-0.648673 Supp b'symb'
490 +-0.654648 Supp b'word[:1]:C'
491 +-0.655830 O b'word[:1]:N'
492 +-0.669514 O b'+1:postag:VBG'
493 +-0.678570 O b'lemma:rifampicin'
494 +-0.678570 O b'word:rifampicin'
495 +-0.685362 O b'+1:lemma:2.0'
496 +-0.685362 O b'+1:word:2.0'
497 +-0.697373 pH b'isLower'
498 +-0.723949 O b'+1:lemma:1'
499 +-0.723949 O b'+1:word:1'
500 +-0.725696 O b'word[:2]:30'
501 +-0.733745 O b'word[:1]:d'
502 +-0.746229 Technique b'postag:NN'
503 +-0.746793 Anti b'postag:NNP'
504 +-0.772686 Phase b'hUpper'
505 +-0.772686 Phase b'hLower'
506 +-0.779562 Supp b'+1:lemma:-lrb-'
507 +-0.779562 Supp b'+1:word:-LRB-'
508 +-0.785425 O b'lemma:wt'
509 +-0.793464 Supp b'+1:postag:-LRB-'
510 +-0.807612 O b'+1:lemma:in'
511 +-0.807612 O b'+1:word:in'
512 +-0.809771 O b'-1:lemma:2'
513 +-0.809771 O b'-1:word:2'
514 +-0.827384 O b'word[:2]:me'
515 +-0.843493 O b'word[:2]:fl'
516 +-0.892217 Temp b'+1:postag:IN'
517 +-0.911652 O b'word[:2]:ni'
518 +-0.928268 O b'-1:lemma:vol'
519 +-0.928268 O b'-1:word:vol'
520 +-0.929689 Gversion b'isLower'
521 +-0.937497 Phase b'-1:postag:JJ'
522 +-0.939661 Supp b'+1:lemma:,'
523 +-0.939661 Supp b'+1:postag:,'
524 +-0.939661 Supp b'+1:word:,'
525 +-0.945384 Supp b'hGreek'
526 +-1.033862 O b'+1:lemma:2'
527 +-1.033862 O b'+1:word:2'
528 +-1.049369 O b'postag:VBP'
529 +-1.064806 Gtype b'word[:1]:C'
530 +-1.103635 OD b'+1:postag:NN'
531 +-1.146336 Gtype b'isUpper'
532 +-1.184986 O b'-1:postag::'
533 +-1.221339 O b'word[:1]:P'
534 +-1.586036 O b'word[:2]:Ch'
535 +-1.596486 O b'-1:postag:VBG'
536 +-1.615380 O b'-1:lemma:_'
537 +-1.615380 O b'-1:word:_'
538 +-1.888889 O b'-1:lemma::'
539 +-1.888889 O b'-1:word::'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.10224977118326696, 'c2': 0.08574073868552615}
5 +best CV score:0.8625521557665096
6 +model size: 0.15M
7 +
8 +Flat F1: 0.7911337627473737
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 0.955 0.913 0.933 23
14 + Med 1.000 0.962 0.981 53
15 + Temp 1.000 0.621 0.766 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.875 0.933 0.903 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.880 0.776 0.825 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.820 0.784 0.802 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.847 0.749 0.791 451
28 +
29 +
30 +Top likely transitions:
31 +Supp -> Supp 4.853883
32 +Med -> Med 4.656088
33 +Temp -> Temp 4.510100
34 +Agit -> Agit 4.465117
35 +OD -> OD 4.340142
36 +Anti -> Anti 4.196466
37 +Air -> Air 3.821484
38 +Gtype -> Gtype 3.782966
39 +Gversion -> Gversion 3.606921
40 +O -> O 3.495921
41 +Phase -> Phase 3.323762
42 +Technique -> Technique 2.563651
43 +pH -> pH 2.180795
44 +O -> Supp 0.898100
45 +Substrain -> Gtype 0.754641
46 +Air -> O 0.647741
47 +O -> Technique 0.571928
48 +O -> Gtype 0.481770
49 +Supp -> O 0.402376
50 +Gtype -> Supp 0.324453
51 +Med -> O 0.307057
52 +Technique -> Air 0.224294
53 +Gtype -> Air 0.168729
54 +O -> Anti 0.038118
55 +O -> Temp 0.032123
56 +Gtype -> pH 0.002908
57 +Temp -> O 0.000361
58 +Strain -> O 0.000160
59 +Technique -> Gversion -0.000416
60 +Air -> Agit -0.005831
61 +Supp -> pH -0.007270
62 +OD -> O -0.014197
63 +Gversion -> Supp -0.015735
64 +Gtype -> OD -0.028160
65 +Supp -> Phase -0.029631
66 +Anti -> Temp -0.035006
67 +Phase -> Gtype -0.044350
68 +OD -> Supp -0.044521
69 +Gtype -> Temp -0.059821
70 +Temp -> Med -0.060792
71 +Gtype -> Phase -0.069441
72 +OD -> Technique -0.077261
73 +Air -> Technique -0.079069
74 +O -> Agit -0.096763
75 +Anti -> Supp -0.100222
76 +Phase -> OD -0.103283
77 +Supp -> Gversion -0.124409
78 +Anti -> Air -0.126752
79 +O -> OD -0.131232
80 +Supp -> Anti -0.144899
81 +
82 +
83 +Top unlikely transitions:
84 +OD -> O -0.014197
85 +Gversion -> Supp -0.015735
86 +Gtype -> OD -0.028160
87 +Supp -> Phase -0.029631
88 +Anti -> Temp -0.035006
89 +Phase -> Gtype -0.044350
90 +OD -> Supp -0.044521
91 +Gtype -> Temp -0.059821
92 +Temp -> Med -0.060792
93 +Gtype -> Phase -0.069441
94 +OD -> Technique -0.077261
95 +Air -> Technique -0.079069
96 +O -> Agit -0.096763
97 +Anti -> Supp -0.100222
98 +Phase -> OD -0.103283
99 +Supp -> Gversion -0.124409
100 +Anti -> Air -0.126752
101 +O -> OD -0.131232
102 +Supp -> Anti -0.144899
103 +Agit -> Air -0.145881
104 +Supp -> Air -0.148035
105 +Anti -> Gtype -0.148967
106 +Phase -> O -0.182539
107 +Gtype -> Gversion -0.218235
108 +Phase -> Supp -0.220677
109 +Agit -> O -0.221526
110 +Supp -> Technique -0.230155
111 +Air -> Med -0.252173
112 +Anti -> O -0.256819
113 +Technique -> Supp -0.258507
114 +Phase -> Technique -0.308300
115 +O -> Med -0.322260
116 +Air -> Phase -0.344611
117 +OD -> Air -0.369099
118 +Air -> Supp -0.381831
119 +Technique -> OD -0.386625
120 +Supp -> Gtype -0.423661
121 +Gversion -> O -0.442929
122 +Gtype -> Med -0.466529
123 +Gtype -> Technique -0.486041
124 +Air -> Temp -0.495035
125 +Technique -> Gtype -0.512140
126 +O -> Air -0.557928
127 +Gtype -> Anti -0.639624
128 +Supp -> Med -0.666805
129 +Technique -> pH -0.687130
130 +Technique -> O -0.804221
131 +Gtype -> O -0.839737
132 +Substrain -> O -1.005940
133 +Med -> Supp -1.140134
134 +
135 +
136 +Top positive:
137 +2.992522 O b'postag:IN'
138 +2.933510 Gtype b'lemma[:1]:\xce\xb4'
139 +2.698175 O b'lemma:_'
140 +2.698175 O b'lemma[:1]:_'
141 +2.698175 O b'word:_'
142 +2.580892 Technique b'lemma[:2]:Ch'
143 +2.528828 Air b'lemma[:2]:an'
144 +2.520301 O b'postag::'
145 +2.475598 Air b'word:Aerobic'
146 +2.397019 O b'lemma[:2]:re'
147 +2.343308 O b'lemma:2'
148 +2.343308 O b'word:2'
149 +2.187375 OD b'lemma[:1]:o'
150 +2.132214 Air b'lemma:anaerobic'
151 +2.102690 O b'lemma:1'
152 +2.102690 O b'word:1'
153 +2.069208 Air b'postag:RB'
154 +2.011921 Supp b'-1:word:Cra'
155 +2.008921 O b'postag:CC'
156 +1.985815 O b'word:Cra'
157 +1.954962 O b'word:A'
158 +1.945886 O b'-1:lemma:tag'
159 +1.944651 Air b'lemma[:1]:a'
160 +1.942100 Gtype b'lemma[:1]:w'
161 +1.941658 O b'isLower'
162 +1.941416 O b'lemma:3'
163 +1.941416 O b'word:3'
164 +1.928794 Anti b'lemma[:2]:an'
165 +1.904875 O b'lemma:-'
166 +1.904875 O b'word:-'
167 +1.894461 Air b'lemma[:2]:ae'
168 +1.837551 Supp b'+1:lemma:\xc2\xb5m'
169 +1.837551 Supp b'+1:word:\xc2\xb5M'
170 +1.827021 O b'lemma:with'
171 +1.827021 O b'word:with'
172 +1.820722 O b'lemma:.'
173 +1.820722 O b'postag:.'
174 +1.820722 O b'word:.'
175 +1.782610 Phase b'lemma:mid-log'
176 +1.782610 Phase b'word:mid-log'
177 +1.757467 Technique b'lemma:chipseq'
178 +1.743523 Technique b'lemma[:1]:C'
179 +1.733249 Technique b'word:ChIPSeq'
180 +1.723058 O b'-1:word:tag'
181 +1.679894 Gtype b'lemma[:2]:pk'
182 +1.670517 Technique b'lemma[:2]:rn'
183 +1.646145 O b'lemma[:2]:ge'
184 +1.642888 Gtype b'word:WT'
185 +1.641812 Air b'word:Anaerobic'
186 +1.636107 Supp b'lemma:pq'
187 +1.636107 Supp b'lemma[:2]:pq'
188 +1.636107 Supp b'word:PQ'
189 +1.616520 Gtype b'lemma:wt'
190 +1.616520 Gtype b'lemma[:2]:wt'
191 +1.602692 Substrain b'lemma[:2]:mg'
192 +1.595791 Gtype b'symb'
193 +1.591226 Gtype b'hGreek'
194 +1.580745 Gtype b'lemma[:2]:ar'
195 +1.553690 O b'isNumber'
196 +1.549681 Supp b'-1:lemma:with'
197 +1.549681 Supp b'-1:word:with'
198 +1.538810 Med b'isUpper'
199 +1.524255 Supp b'lemma:Iron'
200 +1.524255 Supp b'lemma[:2]:Ir'
201 +1.524255 Supp b'word:Iron'
202 +1.524255 Supp b'+1:word:Deficient'
203 +1.523875 Med b'lemma[:1]:m'
204 +1.507350 Supp b'lemma:arginine'
205 +1.506721 O b'-1:word:Aerobic'
206 +1.504743 O b'lemma:b'
207 +1.504743 O b'word:B'
208 +1.503810 O b'+1:lemma:pq'
209 +1.503810 O b'+1:word:PQ'
210 +1.485328 Gtype b'lemma:arca8myc'
211 +1.485328 Gtype b'word:ArcA8myc'
212 +1.478520 Phase b'lemma[:2]:ex'
213 +1.477705 Supp b'-1:postag:CC'
214 +1.473033 Strain b'+1:lemma:substr'
215 +1.473033 Strain b'+1:word:substr'
216 +1.471852 O b'lemma[:1]:h'
217 +1.470534 Gtype b'lemma[:1]:f'
218 +1.432902 Technique b'word:ChIP-Seq'
219 +1.432272 Gtype b'-1:lemma:\xe2\x88\x86'
220 +1.432272 Gtype b'-1:word:\xe2\x88\x86'
221 +1.431861 Supp b'lemma:acetate'
222 +1.431861 Supp b'word:acetate'
223 +1.426205 pH b'+1:postag:CD'
224 +1.426130 O b'lemma:a'
225 +1.423474 Phase b'lemma[:1]:e'
226 +1.416394 Gtype b'lemma[:2]:cr'
227 +1.412091 O b'-1:lemma:lb'
228 +1.412091 O b'-1:word:LB'
229 +1.409559 O b'+1:postag:NNP'
230 +1.396235 Supp b'-1:lemma:Cra'
231 +1.391229 Technique b'lemma:ChIP-exo'
232 +1.387275 Supp b'lemma[:2]:gl'
233 +1.381222 O b'postag:VBN'
234 +1.357861 Technique b'lemma[:2]:ch'
235 +1.349464 O b'-1:lemma:ChIP-exo'
236 +1.337510 Supp b'lemma:rifampicin'
237 +1.337510 Supp b'word:rifampicin'
238 +1.333930 Supp b'lemma[:2]:ri'
239 +1.331717 Supp b'lemma[:2]:ni'
240 +1.308373 Air b'+1:postag:IN'
241 +1.302031 Gtype b'lemma[:2]:de'
242 +1.301579 Supp b'lemma[:1]:I'
243 +1.295057 Gtype b'lemma:type'
244 +1.295057 Gtype b'lemma[:2]:ty'
245 +1.295057 Gtype b'word:type'
246 +1.293141 Technique b'symb'
247 +1.290443 Air b'-1:lemma:ChIP-Seq'
248 +1.290443 Air b'-1:word:ChIP-Seq'
249 +1.286791 Gversion b'lemma[:2]:00'
250 +1.282084 pH b'lemma[:2]:ph'
251 +1.264843 Gversion b'word:ChIP-Seq'
252 +1.249803 Supp b'lemma[:2]:ac'
253 +1.237133 O b'postag:DT'
254 +1.232242 Gversion b'lemma:chip-seq'
255 +1.230130 Gversion b'-1:lemma:nc'
256 +1.230130 Gversion b'-1:word:NC'
257 +1.230000 O b'lemma:rpob'
258 +1.230000 O b'word:RpoB'
259 +1.206427 Air b'lemma:Aerobic'
260 +1.206427 Air b'lemma[:2]:Ae'
261 +1.198600 Technique b'-1:lemma:chip-exo'
262 +1.196166 Phase b'lemma:stationary'
263 +1.196166 Phase b'word:stationary'
264 +1.186607 Supp b'-1:lemma:vol'
265 +1.186607 Supp b'-1:word:vol'
266 +1.185194 Gtype b'-1:postag:VBG'
267 +1.185039 Gversion b'lemma:nc'
268 +1.185039 Gversion b'lemma[:2]:nc'
269 +1.185039 Gversion b'word:NC'
270 +1.183740 O b'-1:lemma:0.3'
271 +1.183740 O b'-1:word:0.3'
272 +1.183722 Substrain b'lemma[:1]:m'
273 +1.178060 Med b'lemma:MOPS'
274 +1.178060 Med b'lemma[:1]:M'
275 +1.178060 Med b'lemma[:2]:MO'
276 +1.178060 Med b'word:MOPS'
277 +1.176455 Agit b'+1:lemma:rpm'
278 +1.176455 Agit b'+1:word:rpm'
279 +1.173660 Air b'lemma[:1]:A'
280 +1.171020 O b'lemma[:1]:C'
281 +1.169586 O b'lemma:Custom'
282 +1.169586 O b'lemma[:2]:Cu'
283 +1.169586 O b'word:Custom'
284 +1.169290 Supp b'lemma[:1]:n'
285 +1.164574 O b'lemma[:1]:r'
286 +1.163122 O b'+1:word:were'
287 +1.161543 O b'+1:postag:RB'
288 +1.160553 Med b'+1:lemma:0.4'
289 +1.160553 Med b'+1:word:0.4'
290 +1.157301 Gtype b'lemma[:1]:t'
291 +1.139447 O b'-1:lemma:glucose'
292 +1.139447 O b'-1:word:glucose'
293 +1.136363 Gtype b'lemma[:1]:W'
294 +1.123777 Gversion b'lemma:asm584v2'
295 +1.123777 Gversion b'word:ASM584v2'
296 +1.122043 Gversion b'lemma[:2]:as'
297 +1.119834 Technique b'word:ChIP-exo'
298 +1.116571 Supp b'+1:lemma:1'
299 +1.116571 Supp b'+1:word:1'
300 +1.109080 O b'-1:lemma:anaerobic'
301 +1.107414 O b'lemma:ompr'
302 +1.107414 O b'word:OmpR'
303 +1.104893 Gtype b'+1:lemma:type'
304 +1.104893 Gtype b'+1:word:type'
305 +1.101638 O b'lemma:chip'
306 +1.101186 Temp b'isUpper'
307 +1.098068 Gtype b'lemma:nsrr'
308 +1.098068 Gtype b'lemma[:2]:ns'
309 +1.098068 Gtype b'word:NsrR'
310 +1.097533 Strain b'lemma:k-12'
311 +1.097533 Strain b'lemma[:2]:k-'
312 +1.097533 Strain b'word:K-12'
313 +1.094717 Agit b'lemma:rpm'
314 +1.094717 Agit b'word:rpm'
315 +1.093697 Anti b'+1:lemma:antibody'
316 +1.093697 Anti b'+1:word:antibody'
317 +1.090349 Supp b'-1:lemma:+'
318 +1.090349 Supp b'-1:word:+'
319 +1.089812 Med b'lemma:broth'
320 +1.089812 Med b'-1:lemma:L'
321 +1.089812 Med b'lemma[:2]:br'
322 +1.089812 Med b'word:broth'
323 +1.089812 Med b'-1:word:L'
324 +1.089439 O b'lemma[:1]:s'
325 +1.089354 Supp b'lemma:glucose'
326 +1.089354 Supp b'word:glucose'
327 +1.075102 Gtype b'-1:lemma:_'
328 +1.075102 Gtype b'-1:word:_'
329 +1.074174 OD b'-1:postag:IN'
330 +1.069035 Air b'-1:lemma:-'
331 +1.069035 Air b'-1:word:-'
332 +1.064267 O b'lemma[:2]:om'
333 +1.059425 Med b'-1:lemma:ml'
334 +1.059425 Med b'-1:word:ml'
335 +1.055151 O b'lemma[:2]:ga'
336 +1.051054 Temp b'isNumber'
337 +
338 +
339 +Top negative:
340 +-0.269566 Med b'+1:postag:NN'
341 +-0.271003 O b'+1:word:C'
342 +-0.272991 Gtype b'lemma[:1]:g'
343 +-0.281915 Substrain b'isLower'
344 +-0.285097 Supp b'+1:lemma:acetate'
345 +-0.285097 Supp b'+1:word:acetate'
346 +-0.289196 O b'-1:lemma:control'
347 +-0.289196 O b'-1:word:control'
348 +-0.291783 O b'lemma:30'
349 +-0.291783 O b'word:30'
350 +-0.296669 Supp b'+1:lemma:nacl'
351 +-0.296669 Supp b'+1:word:NaCl'
352 +-0.299139 Gtype b'lemma[:2]:rp'
353 +-0.299802 Supp b'lemma[:1]:a'
354 +-0.300346 Supp b'isNumber'
355 +-0.302212 Anti b'+1:lemma:anti-fur'
356 +-0.302212 Anti b'+1:word:anti-Fur'
357 +-0.302389 O b'+1:lemma:rep2'
358 +-0.302389 O b'+1:word:rep2'
359 +-0.302698 O b'lemma:methanol'
360 +-0.302698 O b'word:methanol'
361 +-0.303420 Supp b'+1:lemma:fructose'
362 +-0.303420 Supp b'+1:word:fructose'
363 +-0.305531 O b'lemma:aerobically'
364 +-0.305531 O b'word:aerobically'
365 +-0.306175 pH b'isNumber'
366 +-0.306838 O b'lemma[:1]:d'
367 +-0.308262 Gtype b'+1:lemma:-rrb-'
368 +-0.308262 Gtype b'+1:word:-RRB-'
369 +-0.312558 O b'-1:lemma:mm'
370 +-0.312558 O b'-1:word:mM'
371 +-0.313202 O b'-1:postag:-LRB-'
372 +-0.317810 O b'lemma:of'
373 +-0.317810 O b'lemma[:2]:of'
374 +-0.317810 O b'word:of'
375 +-0.319439 O b'-1:lemma:final'
376 +-0.319439 O b'-1:word:final'
377 +-0.321317 O b'lemma:anaerobically'
378 +-0.321317 O b'word:anaerobically'
379 +-0.325460 O b'lemma[:1]:L'
380 +-0.330481 O b'lemma[:1]:A'
381 +-0.332032 O b'+1:lemma:at'
382 +-0.332032 O b'+1:word:at'
383 +-0.333829 OD b'hUpper'
384 +-0.333829 OD b'hLower'
385 +-0.334342 O b'lemma[:1]:\xce\xb4'
386 +-0.338105 O b'-1:lemma:37'
387 +-0.338105 O b'-1:word:37'
388 +-0.345520 O b'lemma[:1]:4'
389 +-0.346277 Vess b'hUpper'
390 +-0.346277 Vess b'hLower'
391 +-0.351779 O b'-1:lemma:cra'
392 +-0.354108 Supp b'-1:lemma:-lrb-'
393 +-0.354108 Supp b'-1:word:-LRB-'
394 +-0.354176 O b'lemma:0.3'
395 +-0.354176 O b'word:0.3'
396 +-0.357826 O b'+1:lemma:1m'
397 +-0.357826 O b'+1:word:1M'
398 +-0.365975 O b'-1:lemma:rpob'
399 +-0.365975 O b'-1:word:RpoB'
400 +-0.369791 Supp b'lemma[:2]:an'
401 +-0.382535 Technique b'-1:postag::'
402 +-0.385806 O b'-1:lemma:ph'
403 +-0.385806 O b'-1:word:pH'
404 +-0.390600 Strain b'isLower'
405 +-0.390996 Med b'+1:postag:IN'
406 +-0.397681 Technique b'isUpper'
407 +-0.402341 O b'lemma[:2]:ph'
408 +-0.407916 O b'-1:lemma:nsrr'
409 +-0.407916 O b'-1:word:NsrR'
410 +-0.408181 pH b'isUpper'
411 +-0.408383 O b'lemma[:1]:p'
412 +-0.410419 O b'-1:lemma:dissolve'
413 +-0.410419 O b'+1:lemma:methanol'
414 +-0.410419 O b'-1:word:dissolved'
415 +-0.410419 O b'+1:word:methanol'
416 +-0.411632 O b'+1:lemma:until'
417 +-0.411632 O b'+1:word:until'
418 +-0.422310 O b'+1:postag:IN'
419 +-0.422805 O b'lemma:wt'
420 +-0.422805 O b'lemma[:2]:wt'
421 +-0.429703 Air b'-1:lemma:or'
422 +-0.429703 Air b'-1:word:or'
423 +-0.430609 O b'lemma:soxs-8myc'
424 +-0.430609 O b'word:soxS-8myc'
425 +-0.437708 O b'word:cells'
426 +-0.439438 Supp b'-1:postag:-LRB-'
427 +-0.443616 O b'lemma[:2]:mg'
428 +-0.447807 O b'-1:postag:IN'
429 +-0.454881 Technique b'postag:NN'
430 +-0.455283 O b'-1:lemma:30'
431 +-0.455283 O b'-1:word:30'
432 +-0.455942 Med b'-1:postag:CD'
433 +-0.456974 O b'-1:lemma:chip-exo'
434 +-0.463642 O b'lemma:2h'
435 +-0.463642 O b'-1:lemma:additional'
436 +-0.463642 O b'lemma[:2]:2h'
437 +-0.463642 O b'word:2h'
438 +-0.463642 O b'-1:word:additional'
439 +-0.463824 O b'lemma[:2]:ni'
440 +-0.473738 O b'-1:lemma:\xe2\x88\x86'
441 +-0.473738 O b'-1:word:\xe2\x88\x86'
442 +-0.483472 Air b'-1:postag:JJ'
443 +-0.485640 O b'lemma[:1]:k'
444 +-0.489700 Agit b'symb'
445 +-0.491876 O b'lemma[:2]:gl'
446 +-0.493145 O b'-1:lemma:1'
447 +-0.493145 O b'-1:word:1'
448 +-0.493324 Supp b'lemma[:1]:s'
449 +-0.495721 O b'-1:lemma:until'
450 +-0.495721 O b'-1:word:until'
451 +-0.510059 O b'+1:word:ChIP-exo'
452 +-0.532260 Supp b'-1:postag:NNP'
453 +-0.532617 O b'lemma:mid-log'
454 +-0.532617 O b'word:mid-log'
455 +-0.538747 O b'lemma[:2]:ar'
456 +-0.539864 Temp b'postag:NN'
457 +-0.544326 Gtype b'postag::'
458 +-0.550034 O b'lemma[:1]:n'
459 +-0.552433 Technique b'isNumber'
460 +-0.552875 O b'-1:lemma:co2'
461 +-0.552875 O b'-1:word:CO2'
462 +-0.553836 O b'+1:lemma:mm'
463 +-0.553836 O b'+1:word:mM'
464 +-0.575360 Agit b'hUpper'
465 +-0.575360 Agit b'hLower'
466 +-0.587589 O b'+1:lemma:2.0'
467 +-0.587589 O b'+1:word:2.0'
468 +-0.589156 Air b'symb'
469 +-0.593266 O b'-1:lemma:IP'
470 +-0.593266 O b'-1:word:IP'
471 +-0.606709 O b'+1:lemma:+'
472 +-0.606709 O b'+1:word:+'
473 +-0.623013 O b'word:ChIP-exo'
474 +-0.624809 Med b'-1:postag:IN'
475 +-0.644672 Med b'symb'
476 +-0.652610 O b'lemma[:2]:an'
477 +-0.663037 O b'+1:postag:VBG'
478 +-0.669924 Air b'isLower'
479 +-0.670219 O b'+1:lemma:g/l'
480 +-0.670219 O b'+1:word:g/L'
481 +-0.695683 pH b'isLower'
482 +-0.700730 O b'-1:lemma:ml'
483 +-0.700730 O b'-1:word:ml'
484 +-0.708528 Technique b'isLower'
485 +-0.713532 Gtype b'lemma[:1]:c'
486 +-0.723267 O b'postag:VBP'
487 +-0.726763 Med b'-1:postag:NN'
488 +-0.730007 O b'-1:lemma:fresh'
489 +-0.730007 O b'-1:word:fresh'
490 +-0.732472 Gtype b'isNumber'
491 +-0.754791 Anti b'postag:NNP'
492 +-0.763751 O b'lemma[:1]:I'
493 +-0.765472 Phase b'hUpper'
494 +-0.765472 Phase b'hLower'
495 +-0.777034 O b'postag:RB'
496 +-0.783888 O b'+1:lemma:1'
497 +-0.783888 O b'+1:word:1'
498 +-0.819356 Supp b'+1:postag:VBN'
499 +-0.832076 Supp b'+1:postag:-LRB-'
500 +-0.834887 Supp b'+1:lemma:-lrb-'
501 +-0.834887 Supp b'+1:word:-LRB-'
502 +-0.845588 O b'lemma[:2]:ri'
503 +-0.859382 O b'+1:lemma:in'
504 +-0.859382 O b'+1:word:in'
505 +-0.863969 O b'-1:lemma:2'
506 +-0.863969 O b'-1:word:2'
507 +-0.863985 Supp b'postag:JJ'
508 +-0.879910 O b'lemma:rifampicin'
509 +-0.879910 O b'word:rifampicin'
510 +-0.890013 O b'-1:lemma:sample'
511 +-0.908122 O b'lemma[:2]:me'
512 +-0.918685 O b'lemma[:2]:30'
513 +-0.977725 Supp b'symb'
514 +-0.998621 Gtype b'lemma[:1]:a'
515 +-1.009514 O b'lemma[:2]:ae'
516 +-1.010867 Supp b'lemma[:1]:c'
517 +-1.019909 Supp b'hGreek'
518 +-1.025689 Gversion b'isLower'
519 +-1.028787 O b'-1:postag::'
520 +-1.033347 Gtype b'lemma[:1]:r'
521 +-1.058669 Phase b'postag:JJ'
522 +-1.063118 OD b'+1:postag:NN'
523 +-1.085470 O b'+1:lemma:2'
524 +-1.085470 O b'+1:word:2'
525 +-1.097595 Temp b'+1:postag:IN'
526 +-1.104571 O b'-1:lemma:vol'
527 +-1.104571 O b'-1:word:vol'
528 +-1.105747 Phase b'-1:postag:JJ'
529 +-1.193803 Supp b'+1:lemma:,'
530 +-1.193803 Supp b'+1:postag:,'
531 +-1.193803 Supp b'+1:word:,'
532 +-1.225152 Gtype b'isUpper'
533 +-1.342867 Air b'postag:NN'
534 +-1.648816 O b'-1:postag:VBG'
535 +-1.734459 O b'-1:lemma:_'
536 +-1.734459 O b'-1:word:_'
537 +-1.809222 O b'lemma[:2]:fl'
538 +-2.034354 O b'-1:lemma::'
539 +-2.034354 O b'-1:word::'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.08547853139018363, 'c2': 0.0718223925603791}
5 +best CV score:0.8618282789423788
6 +model size: 0.12M
7 +
8 +Flat F1: 0.7935612512742225
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 0.870 0.930 23
14 + Med 1.000 0.925 0.961 53
15 + Temp 1.000 0.828 0.906 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.875 0.933 0.903 15
19 + Air 0.545 0.348 0.425 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.847 0.847 0.847 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.764 0.799 0.781 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.825 0.772 0.794 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 4.726292
32 +Med -> Med 4.671738
33 +Supp -> Supp 4.522188
34 +Agit -> Agit 4.377673
35 +OD -> OD 4.308572
36 +Gversion -> Gversion 3.866864
37 +O -> O 3.748552
38 +Air -> Air 3.677475
39 +Anti -> Anti 3.637881
40 +Phase -> Phase 3.501884
41 +Gtype -> Gtype 3.413911
42 +Technique -> Technique 2.611020
43 +pH -> pH 2.492174
44 +Substrain -> Gtype 1.323299
45 +O -> Supp 1.082471
46 +Gtype -> Supp 1.059136
47 +Air -> O 1.056595
48 +O -> Technique 0.788425
49 +Gtype -> Air 0.726982
50 +Supp -> O 0.721855
51 +Technique -> Air 0.676898
52 +Med -> O 0.566862
53 +Temp -> O 0.505913
54 +Gtype -> pH 0.499557
55 +O -> Gtype 0.492671
56 +O -> Temp 0.193445
57 +OD -> O 0.066099
58 +O -> Phase 0.015467
59 +Phase -> O 0.005269
60 +O -> Anti 0.001662
61 +O -> Med 0.000880
62 +Phase -> Technique -0.000017
63 +Gversion -> Technique -0.000081
64 +Supp -> Gversion -0.001487
65 +Supp -> Temp -0.006942
66 +Anti -> Air -0.014046
67 +OD -> Med -0.020526
68 +Air -> Temp -0.030082
69 +O -> Strain -0.036678
70 +Strain -> Supp -0.037261
71 +Anti -> Technique -0.039379
72 +O -> Agit -0.039632
73 +Anti -> O -0.064909
74 +Med -> Gtype -0.069251
75 +Gversion -> Air -0.073290
76 +Supp -> Anti -0.079850
77 +Air -> Phase -0.086231
78 +Gtype -> Agit -0.087068
79 +Technique -> Med -0.107591
80 +Temp -> Supp -0.117927
81 +
82 +
83 +Top unlikely transitions:
84 +Gtype -> Agit -0.087068
85 +Technique -> Med -0.107591
86 +Temp -> Supp -0.117927
87 +Phase -> Med -0.126236
88 +Agit -> Supp -0.127001
89 +Air -> Technique -0.146743
90 +Gtype -> Phase -0.148852
91 +Gversion -> O -0.153972
92 +Temp -> Air -0.155016
93 +Gversion -> Gtype -0.163400
94 +Supp -> pH -0.165945
95 +Technique -> OD -0.170573
96 +Gtype -> OD -0.180802
97 +Supp -> OD -0.185729
98 +Agit -> O -0.186520
99 +Gtype -> Temp -0.191678
100 +Temp -> Med -0.203334
101 +Anti -> Med -0.213478
102 +Med -> Air -0.254265
103 +Supp -> Phase -0.272052
104 +O -> OD -0.284249
105 +Air -> Agit -0.299878
106 +Gtype -> Gversion -0.302074
107 +Technique -> O -0.304509
108 +Supp -> Technique -0.323807
109 +Gversion -> Supp -0.330543
110 +OD -> Supp -0.332686
111 +Supp -> Air -0.350244
112 +Agit -> Air -0.351443
113 +Air -> Med -0.356425
114 +pH -> Supp -0.356600
115 +Phase -> Supp -0.367295
116 +Anti -> Supp -0.388606
117 +Anti -> Gtype -0.420057
118 +Gtype -> Anti -0.437171
119 +Gtype -> O -0.469909
120 +Air -> Gtype -0.491506
121 +Air -> Supp -0.517679
122 +Supp -> Gtype -0.551144
123 +Technique -> Supp -0.555659
124 +OD -> Air -0.572756
125 +Gtype -> Technique -0.574688
126 +O -> Air -0.585607
127 +Phase -> OD -0.592622
128 +Technique -> pH -0.602711
129 +Supp -> Med -0.656480
130 +Gtype -> Med -0.782031
131 +Substrain -> O -1.224113
132 +Technique -> Gtype -1.370410
133 +Med -> Supp -1.466233
134 +
135 +
136 +Top positive:
137 +4.763784 O b'lemma:2'
138 +4.403357 O b'lemma:1'
139 +4.351529 O b'lemma:_'
140 +4.235059 Anti b'-2:lemma:antibody'
141 +4.043801 O b'-2:lemma:_'
142 +3.996162 Air b'lemma:anaerobic'
143 +3.806351 Gtype b'lemma:wt'
144 +3.749108 O b'postag:IN'
145 +3.736227 Supp b'lemma:pq'
146 +3.494745 Air b'lemma:Aerobic'
147 +3.463151 Technique b'lemma:ChIP-exo'
148 +3.331237 Technique b'lemma:chipseq'
149 +3.321703 Phase b'lemma:mid-log'
150 +3.250497 Gtype b'lemma:\xce\xb4cra'
151 +3.170468 Supp b'lemma:acetate'
152 +3.124411 O b'lemma:3'
153 +3.062209 O b'lemma:rpob'
154 +3.054282 Phase b'-2:lemma:phase'
155 +3.044351 Gtype b'lemma:\xe2\x88\x86'
156 +2.982673 O b'postag::'
157 +2.975009 O b'-2:lemma:flagtag'
158 +2.948451 Gtype b'-2:lemma:genotype/variation'
159 +2.880650 O b'postag:VBN'
160 +2.875525 O b'lemma:.'
161 +2.875525 O b'postag:.'
162 +2.856618 O b'lemma:-'
163 +2.842211 Technique b'lemma:rna-seq'
164 +2.822332 O b'lemma:b'
165 +2.802827 Gtype b'lemma:type'
166 +2.797366 Gtype b'-1:lemma:\xe2\x88\x86'
167 +2.793829 Supp b'lemma:glucose'
168 +2.734817 Gtype b'-2:lemma:genotype'
169 +2.701420 Supp b'lemma:no3'
170 +2.661946 Air b'lemma:aerobic'
171 +2.652084 Technique b'lemma:chip-seq'
172 +2.649025 O b'lemma:Cra'
173 +2.638351 Air b'postag:RB'
174 +2.590966 O b'-1:lemma:ChIP-exo'
175 +2.579299 Supp b'lemma:Iron'
176 +2.579299 Supp b'-2:lemma:Anaerobic'
177 +2.569436 O b'lemma:a'
178 +2.546577 Med b'lemma:lb'
179 +2.511450 Supp b'-1:lemma:with'
180 +2.503214 Supp b'lemma:nacl'
181 +2.478452 Substrain b'lemma:mg1655'
182 +2.473536 Technique b'+2:lemma:ph5'
183 +2.456529 Supp b'+1:lemma:1'
184 +2.452327 O b'postag:CC'
185 +2.423475 Gtype b'lemma:\xce\xb4fur'
186 +2.368070 Gtype b'lemma:\xce\xb4soxr'
187 +2.360449 Gtype b'lemma:wild-type'
188 +2.352917 Supp b'lemma:nh4cl'
189 +2.349539 O b'+2:lemma:\xc2\xb0c'
190 +2.337254 Med b'lemma:MOPS'
191 +2.321526 Gtype b'lemma:flag-tag'
192 +2.321526 Gtype b'-1:lemma:c-terminal'
193 +2.314837 O b'lemma:CEL'
194 +2.294955 Gtype b'+1:lemma:with'
195 +2.257644 Gtype b'+1:lemma:type'
196 +2.196496 Supp b'+2:lemma:iptg'
197 +2.196469 Supp b'-1:lemma:Cra'
198 +2.175786 Phase b'-1:lemma:mid-log'
199 +2.173685 O b'postag:VBG'
200 +2.163806 pH b'+1:postag:CD'
201 +2.100627 O b'lemma:with'
202 +2.088770 Gversion b'lemma:chip-seq'
203 +2.085539 O b'-1:lemma:tag'
204 +2.069738 O b'lemma:rep2'
205 +2.069674 Supp b'+1:lemma:\xc2\xb5m'
206 +2.060929 O b'lemma:harbor'
207 +2.060390 Temp b'+1:lemma:\xc2\xb0c'
208 +2.022385 Supp b'lemma:nitrate'
209 +1.998316 pH b'lemma:ph5'
210 +1.998316 pH b'+1:lemma:.5'
211 +1.988849 Air b'-1:lemma:ChIP-Seq'
212 +1.977405 Med b'lemma:m63'
213 +1.976213 Temp b'lemma:\xc2\xb0c'
214 +1.971324 Gtype b'lemma:dfnr'
215 +1.969127 O b'+1:lemma:arca-8myc'
216 +1.955303 O b'-1:lemma:0.3'
217 +1.951821 O b'-2:lemma:medium'
218 +1.942893 Supp b'+1:lemma:_'
219 +1.937510 Gtype b'-2:lemma:affyexp'
220 +1.929115 Air b'-2:lemma:IP'
221 +1.905706 Substrain b'+1:lemma:phtpg'
222 +1.898318 Supp b'+1:lemma:2'
223 +1.895488 Technique b'lemma:rnaseq'
224 +1.881491 Supp b'lemma:arginine'
225 +1.871246 Technique b'-2:lemma:Fur'
226 +1.871212 Med b'+2:lemma:b2'
227 +1.868278 Substrain b'-2:lemma:substr'
228 +1.833742 Gtype b'lemma:nsrr'
229 +1.826714 O b'-1:lemma:media'
230 +1.824754 O b'-1:lemma:anaerobic'
231 +1.808509 Supp b'-2:lemma:agent'
232 +1.807657 O b'+1:postag:RB'
233 +1.807328 Gtype b'-1:lemma:rpob'
234 +1.803500 O b'postag:NNS'
235 +1.797656 Technique b'lemma:ChIP-Seq'
236 +1.773838 O b'lemma:chip'
237 +1.773424 Strain b'+1:lemma:substr'
238 +1.773424 Strain b'-2:lemma:str'
239 +1.772977 O b'-1:lemma:glucose'
240 +1.769253 Anti b'+1:lemma:antibody'
241 +1.768929 Gversion b'lemma:.2'
242 +1.768929 Gversion b'-1:lemma:u00096'
243 +1.753884 O b'lemma:\xcf\x8332'
244 +1.753283 O b'-2:lemma:myc'
245 +1.752434 Anti b'+2:lemma:antibody'
246 +1.746191 Gtype b'lemma:pk4854'
247 +1.745489 Technique b'-1:lemma:IP'
248 +1.733914 Supp b'lemma:Leu'
249 +1.733914 Supp b'-2:lemma:Lrp'
250 +1.720315 O b'postag:DT'
251 +1.720167 Strain b'lemma:k-12'
252 +1.714367 Med b'+2:postag:CC'
253 +1.702196 Gtype b'-2:lemma:delta'
254 +1.700861 O b'lemma:argr'
255 +1.699626 O b'+2:postag:JJ'
256 +1.699572 O b'lemma:affyexp'
257 +1.698615 Air b'-1:lemma:-'
258 +1.698323 Air b'lemma:anaeroibc'
259 +1.697509 Temp b'lemma:43'
260 +1.686900 Supp b'lemma:Adenine'
261 +1.667205 O b'lemma:soxs'
262 +1.667205 O b'lemma:soxr'
263 +1.665708 Supp b'lemma:fructose'
264 +1.663126 O b'lemma:ompr'
265 +1.657174 O b'lemma:purr'
266 +1.642276 Technique b'-1:lemma:chip-exo'
267 +1.640609 Gtype b'+1:lemma:ph5'
268 +1.640609 Gtype b'+2:lemma:.5'
269 +1.635130 Temp b'-1:lemma:43'
270 +1.629117 Med b'+1:lemma:0.4'
271 +1.624603 Supp b'-1:postag:CC'
272 +1.623648 O b'+1:lemma:pq'
273 +1.620057 Med b'-1:lemma:in'
274 +1.607167 Technique b'-1:lemma:_'
275 +1.597588 Technique b'-2:lemma:wt'
276 +1.594913 Med b'lemma:minimal'
277 +1.582538 Temp b'-2:lemma:\xcf\x8332'
278 +1.579977 Gversion b'-2:lemma:nc'
279 +1.577928 O b'-1:lemma:\xc2\xb0c'
280 +1.574442 O b'+1:lemma:wt'
281 +1.571857 Supp b'-1:lemma:+'
282 +1.571133 O b'lemma:trpr'
283 +1.568931 O b'lemma:culture'
284 +1.568914 O b'lemma:genotype/variation'
285 +1.567478 Technique b'-1:lemma:input'
286 +1.560894 O b'+1:postag:NNP'
287 +1.559633 O b'-1:lemma:lb'
288 +1.558911 Gtype b'lemma:\xce\xb4ompr'
289 +1.557164 Phase b'+1:lemma:phase'
290 +1.552494 O b'+2:lemma:cra'
291 +1.551712 Supp b'-2:lemma:for'
292 +1.548775 Gtype b'+2:lemma:glucose'
293 +1.548228 Med b'lemma:media'
294 +1.546489 Supp b'lemma:rifampicin'
295 +1.538993 Air b'lemma:anaerobically'
296 +1.538769 Gtype b'lemma:\xce\xb4oxyr'
297 +1.527888 Gversion b'lemma:u00096'
298 +1.527888 Gversion b'+1:lemma:.2'
299 +1.510740 Phase b'lemma:exponential'
300 +1.510740 Phase b'lemma:stationary'
301 +1.504271 O b'+1:lemma:chip-seq'
302 +1.500405 Gversion b'-2:lemma:build'
303 +1.494395 Gtype b'lemma:ptac'
304 +1.491733 O b'-1:lemma:Aerobic'
305 +1.489191 Agit b'lemma:rpm'
306 +1.488153 Technique b'postag:NNP'
307 +1.481440 pH b'lemma:.5'
308 +1.481440 pH b'-1:lemma:ph5'
309 +1.479765 O b'-2:lemma:min'
310 +1.461483 Med b'+2:lemma:b1'
311 +1.458322 O b'lemma:-lrb-'
312 +1.457545 O b'lemma:ml'
313 +1.456515 O b'-1:lemma:type'
314 +1.455521 Phase b'lemma:phase'
315 +1.454471 Temp b'-1:lemma:\xcf\x8332'
316 +1.445071 Gtype b'-2:postag:DT'
317 +1.444366 O b'+1:lemma:od600'
318 +1.441153 Med b'+1:lemma:minimal'
319 +1.435416 O b'-1:lemma:wt'
320 +1.433093 O b'+1:lemma:coli'
321 +1.432963 Gtype b'+1:lemma:_'
322 +1.414930 Gtype b'+1:lemma:flagtag'
323 +1.409771 Med b'lemma:broth'
324 +1.409771 Med b'-1:lemma:L'
325 +1.404102 Gtype b'-1:postag:VBG'
326 +1.402997 O b'+1:lemma:condition'
327 +1.385125 O b'-2:lemma:ChIP-Seq'
328 +1.378975 O b'lemma:Custom'
329 +1.368428 Gtype b'-1:lemma:ptac'
330 +1.367249 Supp b'-2:lemma:condition'
331 +1.365896 Supp b'-1:lemma:_'
332 +1.360344 Gversion b'-2:postag:VB'
333 +1.358613 Gtype b'lemma:arca8myc'
334 +1.358613 Gtype b'-2:lemma:chip-arca'
335 +1.355013 O b'lemma:s'
336 +1.352241 Technique b'-1:lemma:rna-seq'
337 +
338 +
339 +Top negative:
340 +-0.240864 O b'-1:lemma:n2'
341 +-0.241870 Supp b'+2:postag::'
342 +-0.244948 Supp b'-1:postag:-LRB-'
343 +-0.245788 O b'+1:lemma:_'
344 +-0.250584 O b'+1:lemma:\xc2\xb0c'
345 +-0.251484 Supp b'+1:postag:VBN'
346 +-0.251630 Technique b'-2:postag:NN'
347 +-0.255068 O b'+1:lemma:culture'
348 +-0.255092 O b'lemma:ph'
349 +-0.257956 OD b'+2:postag:NN'
350 +-0.258052 O b'+1:lemma:gade'
351 +-0.259067 Gtype b'-2:postag:CD'
352 +-0.259245 O b'lemma:250'
353 +-0.260012 Phase b'+1:postag:NN'
354 +-0.261463 O b'-1:lemma:sodium'
355 +-0.261463 O b'+2:lemma:1/100'
356 +-0.261641 O b'-1:lemma:1m'
357 +-0.261641 O b'+2:lemma:7.6'
358 +-0.267912 Strain b'postag:NN'
359 +-0.268585 O b'-2:lemma:aerobically'
360 +-0.270821 O b'lemma:0.2'
361 +-0.271046 O b'-2:lemma:2'
362 +-0.273281 Temp b'-1:lemma:\xc2\xb0c'
363 +-0.273389 O b'+1:lemma:mg1655'
364 +-0.275465 Med b'-1:postag:CD'
365 +-0.279720 Supp b'+1:lemma:rifampicin'
366 +-0.282890 O b'+1:postag:IN'
367 +-0.290800 Supp b'+2:lemma:acetate'
368 +-0.293273 O b'-2:lemma:mg1655'
369 +-0.294116 Anti b'+2:postag:JJ'
370 +-0.299017 Supp b'lemma:1'
371 +-0.301190 O b'-1:postag:IN'
372 +-0.309209 Supp b'+1:postag:-RRB-'
373 +-0.311352 Supp b'+2:postag:CC'
374 +-0.313923 O b'+1:postag:VBG'
375 +-0.315176 Supp b'-1:lemma:dpd'
376 +-0.321987 O b'+1:lemma:gadw'
377 +-0.325650 Med b'-1:postag:NN'
378 +-0.327648 O b'lemma:methanol'
379 +-0.327648 O b'-2:lemma:dissolve'
380 +-0.328318 O b'-1:lemma:0.2'
381 +-0.334852 O b'lemma:fecl2'
382 +-0.339654 O b'lemma:anaerobic'
383 +-0.341230 O b'-1:lemma:chip-exo'
384 +-0.353401 O b'-1:lemma:cra'
385 +-0.354424 O b'-2:lemma:anaerobically'
386 +-0.355426 O b'-2:lemma:rpob'
387 +-0.355678 O b'-1:lemma:contain'
388 +-0.361362 O b'+1:lemma:g/l'
389 +-0.361781 O b'lemma:dissolve'
390 +-0.361781 O b'+2:lemma:methanol'
391 +-0.366638 O b'lemma:lb'
392 +-0.367583 Supp b'+1:lemma:fructose'
393 +-0.369374 Med b'+1:postag:NN'
394 +-0.369510 O b'lemma:m63'
395 +-0.370064 O b'-2:lemma:phase'
396 +-0.370439 O b'+1:lemma:minimal'
397 +-0.370982 O b'-2:lemma:pahse'
398 +-0.371136 Supp b'-2:lemma:grow'
399 +-0.375991 Vess b'postag:NN'
400 +-0.378096 O b'+1:lemma:rep2'
401 +-0.378255 O b'+2:lemma:-rrb-'
402 +-0.380278 O b'+2:lemma:at'
403 +-0.384210 O b'-1:lemma:minimal'
404 +-0.388239 O b'-2:lemma:glucose'
405 +-0.391106 Air b'-1:postag:JJ'
406 +-0.391908 O b'-1:lemma:until'
407 +-0.392584 Supp b'+2:lemma:-rrb-'
408 +-0.394595 O b'+1:lemma:Aerobic'
409 +-0.396109 O b'-1:lemma:final'
410 +-0.396858 Med b'+1:postag:IN'
411 +-0.398638 O b'-1:lemma:iptg'
412 +-0.405984 O b'-2:lemma:mm'
413 +-0.412751 O b'-1:lemma:37'
414 +-0.423858 O b'+1:lemma:dissolve'
415 +-0.428909 O b'-2:lemma:supplement'
416 +-0.431989 O b'+1:lemma:m'
417 +-0.436777 Supp b'+2:postag:-RRB-'
418 +-0.437255 Supp b'-1:postag:VBN'
419 +-0.440236 O b'+2:lemma:tag'
420 +-0.446461 Supp b'+1:postag:NNS'
421 +-0.448337 O b'lemma:nitrogen'
422 +-0.452881 Supp b'postag:CC'
423 +-0.454287 Supp b'+2:lemma:glucose'
424 +-0.459760 O b'lemma:minimal'
425 +-0.470804 O b'-2:lemma:nh4cl'
426 +-0.491402 O b'postag:RB'
427 +-0.494015 O b'lemma:37'
428 +-0.499646 O b'-1:lemma:g/l'
429 +-0.502121 O b'+2:lemma:a'
430 +-0.507239 Supp b'+1:lemma:acetate'
431 +-0.509993 O b'-1:lemma:dissolve'
432 +-0.509993 O b'+1:lemma:methanol'
433 +-0.518444 Supp b'-1:postag:NNP'
434 +-0.522170 O b'-1:lemma:grow'
435 +-0.523412 O b'-2:lemma:a'
436 +-0.531453 O b'+1:lemma:1m'
437 +-0.531453 O b'-2:lemma:vol'
438 +-0.534602 O b'+2:lemma:250'
439 +-0.538057 Gtype b'-2:lemma:\xe2\x88\x86'
440 +-0.549372 O b'+2:lemma:then'
441 +-0.549638 O b'+2:lemma:genome'
442 +-0.550134 Supp b'-2:lemma:treat'
443 +-0.556977 O b'-1:lemma:fresh'
444 +-0.558288 O b'-1:lemma:dfnr'
445 +-0.565708 O b'+1:lemma:supplement'
446 +-0.569022 O b'lemma:fructose'
447 +-0.575610 O b'lemma:anaerobically'
448 +-0.577376 O b'-2:lemma:genome'
449 +-0.595858 O b'-2:lemma:fresh'
450 +-0.603206 O b'-2:postag:DT'
451 +-0.608051 O b'+1:lemma:mm'
452 +-0.613648 O b'lemma:glucose'
453 +-0.624344 O b'lemma:k-12'
454 +-0.635426 Supp b'+1:lemma:,'
455 +-0.635426 Supp b'+1:postag:,'
456 +-0.639334 O b'-1:lemma:mm'
457 +-0.646392 O b'-1:lemma:\xe2\x88\x86'
458 +-0.646596 Med b'-2:lemma:grow'
459 +-0.652076 O b'-2:lemma:until'
460 +-0.661116 O b'lemma:2h'
461 +-0.661116 O b'-1:lemma:additional'
462 +-0.663482 O b'-2:postag:RB'
463 +-0.673788 O b'-2:lemma::'
464 +-0.674569 O b'+2:lemma:reference'
465 +-0.683036 O b'+2:lemma:add'
466 +-0.685189 pH b'postag:NN'
467 +-0.685297 O b'postag:VBP'
468 +-0.688346 Med b'+2:postag:VBN'
469 +-0.688555 Supp b'+1:lemma:-lrb-'
470 +-0.690175 Supp b'-2:postag:JJ'
471 +-0.690245 Phase b'postag:JJ'
472 +-0.697689 O b'+2:lemma:10'
473 +-0.703863 Supp b'+1:postag:-LRB-'
474 +-0.708967 Anti b'+1:lemma:anti-fur'
475 +-0.728829 O b'+1:lemma:until'
476 +-0.747693 O b'-1:lemma:ml'
477 +-0.751276 O b'-2:lemma:dpd'
478 +-0.756088 O b'lemma:aerobically'
479 +-0.760131 O b'-1:lemma:30'
480 +-0.766561 O b'lemma:\xe2\x88\x86'
481 +-0.771321 O b'-2:postag:SYM'
482 +-0.778341 O b'-1:lemma:2'
483 +-0.802560 O b'lemma:of'
484 +-0.802884 Med b'-2:postag:VBN'
485 +-0.806377 O b'-1:postag::'
486 +-0.826105 O b'+2:lemma:mid-log'
487 +-0.849054 O b'-2:lemma:media'
488 +-0.867470 O b'-1:lemma:vol'
489 +-0.867470 O b'-2:lemma:1/100'
490 +-0.867470 O b'+2:lemma:1m'
491 +-0.867875 Phase b'-1:postag:JJ'
492 +-0.884642 O b'lemma:nh4cl'
493 +-0.898025 O b'+2:postag:-RRB-'
494 +-0.915346 Temp b'postag:NN'
495 +-0.917405 O b'+2:lemma:+'
496 +-0.919858 O b'-1:lemma:1'
497 +-0.926225 O b'-1:lemma:rpob'
498 +-0.927298 O b'-2:lemma:IP'
499 +-0.934298 O b'lemma:mid-log'
500 +-0.947126 O b'-1:lemma:co2'
501 +-0.947829 Air b'+1:postag:JJ'
502 +-0.976905 O b'+2:lemma:fnr'
503 +-0.983443 Anti b'+2:lemma:polyclonal'
504 +-0.983730 O b'lemma:nitrate'
505 +-0.994076 Supp b'+2:lemma:fructose'
506 +-0.999100 Air b'postag:NN'
507 +-0.999246 O b'-1:lemma:ph'
508 +-1.004751 OD b'+1:postag:NN'
509 +-1.006120 O b'+1:lemma:+'
510 +-1.012830 O b'-2:lemma:0.3'
511 +-1.019854 O b'+2:lemma:b'
512 +-1.020397 O b'+1:lemma:2.0'
513 +-1.043510 O b'-1:lemma:sample'
514 +-1.049774 OD b'+2:lemma:aerobically'
515 +-1.060960 O b'lemma:30'
516 +-1.076454 O b'lemma:rifampicin'
517 +-1.098762 Supp b'+2:postag:CD'
518 +-1.112282 O b'lemma:aerobic'
519 +-1.121896 Gtype b'+2:lemma:cra'
520 +-1.139537 Supp b'+2:lemma:2'
521 +-1.152551 Supp b'+2:lemma:1'
522 +-1.156894 O b'lemma:media'
523 +-1.166267 O b'+1:lemma:at'
524 +-1.166551 O b'-1:lemma:nsrr'
525 +-1.176235 O b'+1:lemma:in'
526 +-1.183711 O b'+2:lemma:rifampicin'
527 +-1.212779 O b'lemma:wt'
528 +-1.245458 O b'-2:lemma:rifampicin'
529 +-1.334770 O b'lemma:\xce\xb4fur'
530 +-1.335529 O b'-1:lemma:IP'
531 +-1.335617 Anti b'postag:NNP'
532 +-1.392108 O b'lemma:0.3'
533 +-1.428060 Gtype b'postag:VBG'
534 +-1.462629 O b'-1:postag:VBG'
535 +-1.559454 Supp b'postag:JJ'
536 +-1.728116 O b'+1:lemma:1'
537 +-2.237261 O b'+1:lemma:2'
538 +-2.735096 O b'-1:lemma::'
539 +-3.093805 O b'-1:lemma:_'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.14456252410554848, 'c2': 0.011570925278244349}
5 +best CV score:0.8716328545433987
6 +model size: 0.08M
7 +
8 +Flat F1: 0.7636412886634287
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 0.870 0.930 23
14 + Med 1.000 0.925 0.961 53
15 + Temp 0.923 0.828 0.873 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.882 1.000 0.938 15
19 + Air 0.545 0.348 0.425 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.867 0.847 0.857 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.588 0.799 0.677 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.772 0.774 0.764 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 6.024803
32 +Agit -> Agit 5.753028
33 +Supp -> Supp 5.295546
34 +Med -> Med 5.289039
35 +OD -> OD 5.264385
36 +Anti -> Anti 4.686479
37 +Phase -> Phase 4.417910
38 +Gversion -> Gversion 4.395019
39 +Gtype -> Gtype 4.186766
40 +Air -> Air 4.136213
41 +O -> O 3.983716
42 +Technique -> Technique 3.660895
43 +pH -> pH 2.993749
44 +Substrain -> Gtype 1.904754
45 +Gtype -> Supp 1.311934
46 +O -> Supp 1.064130
47 +Air -> O 1.010529
48 +O -> Technique 0.929538
49 +O -> Gtype 0.674914
50 +Gtype -> Air 0.657462
51 +Technique -> Air 0.573565
52 +Supp -> O 0.528829
53 +Temp -> O 0.495755
54 +Med -> O 0.454783
55 +O -> Temp 0.096626
56 +Phase -> O 0.074667
57 +O -> Phase 0.052955
58 +O -> Med 0.050244
59 +Gtype -> pH 0.043509
60 +O -> Anti 0.028320
61 +Gtype -> Technique -0.027765
62 +Agit -> O -0.075594
63 +Technique -> O -0.250844
64 +Gtype -> Med -0.292682
65 +Supp -> Med -0.310233
66 +OD -> Air -0.365882
67 +O -> Air -0.729567
68 +Phase -> OD -0.765060
69 +Gtype -> O -0.784406
70 +Technique -> Gtype -1.361493
71 +Substrain -> O -1.377371
72 +Med -> Supp -1.830126
73 +
74 +
75 +Top unlikely transitions:
76 +Temp -> Temp 6.024803
77 +Agit -> Agit 5.753028
78 +Supp -> Supp 5.295546
79 +Med -> Med 5.289039
80 +OD -> OD 5.264385
81 +Anti -> Anti 4.686479
82 +Phase -> Phase 4.417910
83 +Gversion -> Gversion 4.395019
84 +Gtype -> Gtype 4.186766
85 +Air -> Air 4.136213
86 +O -> O 3.983716
87 +Technique -> Technique 3.660895
88 +pH -> pH 2.993749
89 +Substrain -> Gtype 1.904754
90 +Gtype -> Supp 1.311934
91 +O -> Supp 1.064130
92 +Air -> O 1.010529
93 +O -> Technique 0.929538
94 +O -> Gtype 0.674914
95 +Gtype -> Air 0.657462
96 +Technique -> Air 0.573565
97 +Supp -> O 0.528829
98 +Temp -> O 0.495755
99 +Med -> O 0.454783
100 +O -> Temp 0.096626
101 +Phase -> O 0.074667
102 +O -> Phase 0.052955
103 +O -> Med 0.050244
104 +Gtype -> pH 0.043509
105 +O -> Anti 0.028320
106 +Gtype -> Technique -0.027765
107 +Agit -> O -0.075594
108 +Technique -> O -0.250844
109 +Gtype -> Med -0.292682
110 +Supp -> Med -0.310233
111 +OD -> Air -0.365882
112 +O -> Air -0.729567
113 +Phase -> OD -0.765060
114 +Gtype -> O -0.784406
115 +Technique -> Gtype -1.361493
116 +Substrain -> O -1.377371
117 +Med -> Supp -1.830126
118 +
119 +
120 +Top positive:
121 +6.812438 O b'lemma:2'
122 +6.703250 Phase b'lemma:mid-log'
123 +6.559342 O b'lemma:1'
124 +6.133494 Anti b'-2:lemma:antibody'
125 +5.903347 Air b'lemma:anaerobic'
126 +5.834979 O b'-2:lemma:_'
127 +5.776253 Air b'lemma:Aerobic'
128 +5.551637 Gtype b'lemma:wt'
129 +5.548591 Gtype b'lemma:type'
130 +5.516753 O b'lemma:3'
131 +5.468775 O b'-2:lemma:flagtag'
132 +5.270765 Supp b'lemma:pq'
133 +5.224920 Technique b'lemma:chipseq'
134 +5.217760 O b'lemma:_'
135 +5.150603 Technique b'lemma:ChIP-exo'
136 +4.842010 O b'-1:lemma:ChIP-exo'
137 +4.788720 Air b'lemma:aerobic'
138 +4.755345 Gtype b'lemma:\xce\xb4cra'
139 +4.651993 Med b'lemma:MOPS'
140 +4.537114 Gtype b'lemma:\xe2\x88\x86'
141 +4.464327 Gtype b'lemma:wild-type'
142 +4.427065 O b'postag:IN'
143 +4.254029 Supp b'lemma:no3'
144 +4.245214 Gtype b'lemma:flag-tag'
145 +4.245214 Gtype b'-1:lemma:c-terminal'
146 +4.223016 O b'lemma:b'
147 +4.196865 Technique b'lemma:rna-seq'
148 +4.184006 Gtype b'+1:lemma:type'
149 +4.176776 O b'lemma:-'
150 +4.152973 Phase b'-2:lemma:phase'
151 +4.056463 Gtype b'-2:lemma:genotype/variation'
152 +3.986855 Supp b'lemma:Iron'
153 +3.986855 Supp b'-2:lemma:Anaerobic'
154 +3.973602 O b'lemma:rpob'
155 +3.966116 Supp b'lemma:acetate'
156 +3.938991 O b'lemma:.'
157 +3.938991 O b'postag:.'
158 +3.894365 Supp b'lemma:nacl'
159 +3.881738 Gtype b'lemma:\xce\xb4fur'
160 +3.877245 Gtype b'-1:lemma:\xe2\x88\x86'
161 +3.815337 Technique b'lemma:chip-seq'
162 +3.743495 O b'lemma:with'
163 +3.732573 Supp b'lemma:nh4cl'
164 +3.716505 Air b'postag:RB'
165 +3.640623 O b'+2:lemma:\xc2\xb0c'
166 +3.608559 Med b'lemma:lb'
167 +3.571656 O b'postag:VBN'
168 +3.549390 O b'postag:CC'
169 +3.503089 O b'-2:lemma:medium'
170 +3.502227 Gtype b'lemma:dfnr'
171 +3.494672 O b'lemma:a'
172 +3.490805 Supp b'-1:lemma:Cra'
173 +3.447774 Supp b'lemma:nitrate'
174 +3.423108 O b'lemma:Cra'
175 +3.418016 Gtype b'lemma:\xce\xb4soxr'
176 +3.395324 Gtype b'-2:lemma:genotype'
177 +3.386697 Supp b'lemma:glucose'
178 +3.344372 Technique b'+2:lemma:ph5'
179 +3.251866 Supp b'-1:lemma:with'
180 +3.249713 O b'postag::'
181 +3.200140 Gtype b'-2:lemma:affyexp'
182 +3.182935 Supp b'lemma:arginine'
183 +3.180726 Gversion b'lemma:chip-seq'
184 +3.161435 Technique b'lemma:rnaseq'
185 +3.148795 Supp b'+2:lemma:iptg'
186 +3.067497 Substrain b'lemma:mg1655'
187 +3.056568 O b'lemma:CEL'
188 +3.013304 Med b'lemma:m63'
189 +3.005306 Gtype b'-2:lemma:delta'
190 +3.005008 O b'lemma:harbor'
191 +3.001202 Air b'-1:lemma:ChIP-Seq'
192 +2.966077 O b'-1:lemma:\xc2\xb0c'
193 +2.927961 Gtype b'lemma:nsrr'
194 +2.909022 Gtype b'lemma:pk4854'
195 +2.878177 Air b'-2:lemma:IP'
196 +2.876549 Technique b'lemma:ChIP-Seq'
197 +2.870544 O b'+1:lemma:arca-8myc'
198 +2.865302 O b'-2:lemma:myc'
199 +2.847767 Technique b'-2:lemma:Fur'
200 +2.847429 Gtype b'+1:lemma:with'
201 +2.829243 O b'-1:lemma:0.3'
202 +2.778649 O b'lemma:rep2'
203 +2.776931 Technique b'-1:lemma:IP'
204 +2.773491 Supp b'+1:lemma:\xc2\xb5m'
205 +2.763337 O b'postag:DT'
206 +2.746233 Supp b'+1:lemma:1'
207 +2.744343 Anti b'+2:lemma:antibody'
208 +2.730395 O b'lemma:chip'
209 +2.728846 O b'-1:lemma:tag'
210 +2.664541 O b'-1:lemma:media'
211 +2.622991 Supp b'lemma:rifampicin'
212 +2.586777 Temp b'-1:lemma:\xcf\x8332'
213 +2.573215 Gtype b'+1:lemma:ph5'
214 +2.573215 Gtype b'+2:lemma:.5'
215 +2.566604 O b'-1:lemma:lb'
216 +2.552670 Temp b'-2:lemma:\xcf\x8332'
217 +2.541452 O b'-1:lemma:type'
218 +2.526524 pH b'+1:postag:CD'
219 +2.516979 O b'-1:lemma:glucose'
220 +2.501080 Technique b'-1:lemma:chip-exo'
221 +2.497698 Gtype b'lemma:\xce\xb4ompr'
222 +2.495468 Substrain b'-2:lemma:substr'
223 +2.481730 O b'postag:VBG'
224 +2.475769 Med b'+2:lemma:b2'
225 +2.463569 Gtype b'lemma:\xce\xb4oxyr'
226 +2.457060 O b'+1:postag:RB'
227 +2.438239 Temp b'lemma:43'
228 +2.435108 Supp b'lemma:Leu'
229 +2.435108 Supp b'-2:lemma:Lrp'
230 +2.434323 O b'-2:lemma:min'
231 +2.423093 Supp b'-2:lemma:agent'
232 +2.399905 O b'+1:postag:NNP'
233 +2.392843 Anti b'+1:lemma:antibody'
234 +2.387723 Supp b'-1:lemma:+'
235 +2.375278 O b'lemma:ompr'
236 +2.375177 O b'lemma:ml'
237 +2.351025 O b'+2:lemma:cra'
238 +2.328145 Supp b'-2:lemma:media'
239 +2.315613 pH b'lemma:ph5'
240 +2.315613 pH b'+1:lemma:.5'
241 +2.295509 Phase b'lemma:exponential'
242 +2.295509 Phase b'lemma:stationary'
243 +2.282923 Strain b'+1:lemma:substr'
244 +2.282923 Strain b'-2:lemma:str'
245 +2.282875 Gversion b'lemma:.2'
246 +2.282875 Gversion b'-1:lemma:u00096'
247 +2.271205 Supp b'+1:lemma:2'
248 +2.268299 Air b'lemma:anaeroibc'
249 +2.262222 Air b'-1:lemma:-'
250 +2.253598 O b'lemma:s'
251 +2.235400 Temp b'-1:lemma:43'
252 +2.227662 Phase b'lemma:phase'
253 +2.215669 Phase b'-1:lemma:mid-log'
254 +2.203744 Med b'+2:postag:CC'
255 +2.189036 Substrain b'+1:lemma:phtpg'
256 +2.178331 Gtype b'-1:lemma:rpob'
257 +2.173660 Strain b'lemma:k-12'
258 +2.160417 Gtype b'-1:postag:VBG'
259 +2.141054 Agit b'+2:lemma:at'
260 +2.140046 Med b'lemma:broth'
261 +2.140046 Med b'-1:lemma:L'
262 +2.132754 Temp b'+1:lemma:\xc2\xb0c'
263 +2.122883 O b'lemma:soxs'
264 +2.122883 O b'lemma:soxr'
265 +2.115213 O b'postag:VBD'
266 +2.111512 O b'lemma:\xcf\x8332'
267 +2.083781 Agit b'lemma:rpm'
268 +2.051564 O b'lemma:culture'
269 +2.049120 O b'+1:lemma:condition'
270 +2.041245 Gversion b'lemma:nc'
271 +2.038470 O b'+1:lemma:250'
272 +2.033120 O b'lemma:Custom'
273 +2.025823 O b'postag:NNS'
274 +2.016924 O b'+2:lemma:70'
275 +2.010539 O b'+2:postag:JJ'
276 +2.006555 O b'-1:lemma:aerobically'
277 +1.996814 O b'-2:lemma:~'
278 +1.984709 O b'+2:lemma:polyclonal'
279 +1.976905 Supp b'lemma:Adenine'
280 +1.976120 Technique b'-1:lemma:input'
281 +1.964721 Air b'lemma:aerobically'
282 +1.957500 Gversion b'lemma:u00096'
283 +1.957500 Gversion b'+1:lemma:.2'
284 +1.944301 O b'+1:lemma:chip-seq'
285 +1.944163 Temp b'-1:lemma:sample'
286 +1.935179 O b'lemma:trpr'
287 +1.934476 O b'+1:lemma:coli'
288 +1.932800 Supp b'lemma:fructose'
289 +1.929974 Med b'lemma:media'
290 +1.923950 O b'-1:lemma:anaerobic'
291 +1.922151 Gversion b'+2:lemma:000913'
292 +1.917131 Temp b'lemma:\xc2\xb0c'
293 +1.887292 OD b'lemma:od450'
294 +1.883152 Agit b'+1:lemma:rpm'
295 +1.879063 Gtype b'lemma:ptac'
296 +1.875710 O b'+1:lemma:pq'
297 +1.873042 O b'+2:lemma:fructose'
298 +1.856178 Supp b'+1:lemma:_'
299 +1.855822 Gtype b'-1:lemma:ptac'
300 +1.853574 Supp b'+2:lemma:rifampicin'
301 +1.850128 Med b'+2:lemma:b1'
302 +1.848750 O b'-1:lemma:into'
303 +1.826684 Gversion b'-2:lemma:nc'
304 +1.820054 Supp b'+2:lemma:feso4'
305 +1.808700 Supp b'-2:lemma:condition'
306 +1.799712 O b'-1:lemma:Aerobic'
307 +1.787048 Med b'+1:lemma:0.4'
308 +1.768038 O b'lemma:argr'
309 +1.752493 Supp b'-2:lemma:induce'
310 +1.749745 O b'+1:lemma:acetate'
311 +1.744647 O b'+1:lemma:od600'
312 +1.730393 O b'lemma:genotype/variation'
313 +1.700932 Gtype b'-2:postag:DT'
314 +1.688694 Gtype b'+1:lemma:flagtag'
315 +1.685861 Gversion b'-2:lemma:build'
316 +1.683071 Supp b'-2:lemma:purr'
317 +1.676299 Gversion b'lemma:asm584v2'
318 +1.648539 Technique b'-1:lemma:rna-seq'
319 +1.647830 Air b'+2:lemma:L'
320 +1.643928 Med b'-1:lemma:in'
321 +
322 +
323 +Top negative:
324 +-0.078150 O b'-2:lemma:0.1'
325 +-0.081643 O b'lemma:methanol'
326 +-0.081643 O b'-2:lemma:dissolve'
327 +-0.082341 Supp b'-2:postag:-LRB-'
328 +-0.086140 Supp b'-1:lemma:dpd'
329 +-0.088476 Air b'-1:lemma:or'
330 +-0.088979 Supp b'+2:postag:NN'
331 +-0.089036 Supp b'+2:postag:NNP'
332 +-0.089839 O b'+1:lemma:ph'
333 +-0.091080 O b'-1:lemma:0.2'
334 +-0.092461 Technique b'-1:postag::'
335 +-0.092726 Agit b'postag:NN'
336 +-0.097852 Med b'-1:postag:IN'
337 +-0.100389 Supp b'+2:lemma:.'
338 +-0.100389 Supp b'+2:postag:.'
339 +-0.100772 Strain b'postag:NN'
340 +-0.101155 O b'lemma:\xe2\x88\x86'
341 +-0.101175 O b'+2:lemma:supplement'
342 +-0.103582 O b'+1:lemma:of'
343 +-0.104478 O b'-1:lemma:37'
344 +-0.104623 Technique b'-2:postag:NN'
345 +-0.106509 O b'-1:lemma:iptg'
346 +-0.106780 O b'+2:lemma:ph'
347 +-0.107862 Air b'-2:postag:CC'
348 +-0.109728 O b'+1:lemma:.'
349 +-0.109728 O b'+1:postag:.'
350 +-0.113993 Supp b'-1:lemma:10'
351 +-0.114214 O b'lemma:7.6'
352 +-0.114214 O b'+1:lemma:;'
353 +-0.115982 Agit b'-1:postag:NN'
354 +-0.119361 O b'-1:lemma:until'
355 +-0.124272 Gtype b'-2:postag:CD'
356 +-0.129779 O b'lemma:;'
357 +-0.129779 O b'-1:lemma:7.6'
358 +-0.136518 O b'+1:postag:-LRB-'
359 +-0.139593 O b'-1:lemma:of'
360 +-0.140386 O b'+1:lemma:a'
361 +-0.142883 O b'+1:lemma:95'
362 +-0.143055 O b'-2:lemma:pahse'
363 +-0.149480 O b'-2:lemma:the'
364 +-0.150711 O b'-1:lemma:contain'
365 +-0.151497 Temp b'-2:postag:NN'
366 +-0.151937 O b'-2:postag::'
367 +-0.153171 O b'+2:lemma:-rrb-'
368 +-0.153549 Supp b'postag:CC'
369 +-0.158194 O b'+1:lemma:fecl2'
370 +-0.160887 Supp b'+1:lemma:-rrb-'
371 +-0.161707 Supp b'+2:lemma:dpd'
372 +-0.166764 O b'-2:lemma:phase'
373 +-0.171348 Supp b'+1:lemma:acetate'
374 +-0.171861 O b'-1:lemma:sodium'
375 +-0.171861 O b'+2:lemma:1/100'
376 +-0.178092 Supp b'-1:lemma:-lrb-'
377 +-0.181338 O b'lemma:dissolve'
378 +-0.181338 O b'+2:lemma:methanol'
379 +-0.187811 Supp b'+2:lemma:glucose'
380 +-0.194739 O b'-1:lemma:1m'
381 +-0.194739 O b'+2:lemma:7.6'
382 +-0.197753 Supp b'-1:postag:-LRB-'
383 +-0.199612 Med b'-1:postag:NN'
384 +-0.202024 O b'-1:lemma:n2'
385 +-0.203121 Med b'+1:postag:IN'
386 +-0.207404 O b'lemma:ph'
387 +-0.210173 O b'-2:lemma:aerobically'
388 +-0.225375 O b'-1:lemma:cra'
389 +-0.226782 O b'+2:lemma:reference'
390 +-0.229562 O b'-2:lemma:genome'
391 +-0.233367 O b'-2:lemma:dpd'
392 +-0.239153 Supp b'+1:postag:VBN'
393 +-0.249635 O b'-1:postag:IN'
394 +-0.252658 Med b'postag:CD'
395 +-0.254030 Med b'+1:postag:NN'
396 +-0.256499 O b'lemma:fecl2'
397 +-0.259528 Supp b'-2:postag:NNS'
398 +-0.262022 O b'-1:lemma:ml'
399 +-0.263583 Air b'+2:postag:IN'
400 +-0.268766 O b'-2:lemma:mm'
401 +-0.270868 O b'+1:postag:IN'
402 +-0.271998 O b'+2:lemma:250'
403 +-0.273382 O b'+1:lemma:%'
404 +-0.280464 Supp b'+1:postag:-RRB-'
405 +-0.288772 O b'+2:lemma:.'
406 +-0.288772 O b'+2:postag:.'
407 +-0.293729 Gtype b'-1:postag:NN'
408 +-0.294905 Med b'-1:postag:CD'
409 +-0.308324 Phase b'-2:postag:NN'
410 +-0.328837 O b'-2:lemma:anaerobically'
411 +-0.334523 O b'lemma:37'
412 +-0.338413 O b'-1:lemma:fresh'
413 +-0.346729 O b'-2:lemma:rpob'
414 +-0.351198 Gtype b'-2:lemma:\xe2\x88\x86'
415 +-0.355232 Supp b'+2:lemma:-rrb-'
416 +-0.356631 O b'lemma:mid-log'
417 +-0.357653 O b'-1:lemma:minimal'
418 +-0.359546 O b'+1:lemma:+'
419 +-0.363243 O b'+1:lemma:minimal'
420 +-0.365382 O b'-2:lemma:until'
421 +-0.385235 O b'+2:lemma:at'
422 +-0.389156 Anti b'+2:postag:JJ'
423 +-0.391480 O b'+1:lemma:g/l'
424 +-0.399222 Supp b'+2:postag:-RRB-'
425 +-0.412306 O b'lemma:minimal'
426 +-0.429953 O b'+1:lemma:1m'
427 +-0.429953 O b'-2:lemma:vol'
428 +-0.431351 O b'lemma:nitrate'
429 +-0.432398 O b'-2:lemma:media'
430 +-0.449447 Supp b'+1:lemma:rifampicin'
431 +-0.451303 O b'-2:lemma:fresh'
432 +-0.457431 O b'+1:lemma:supplement'
433 +-0.461836 Supp b'-1:postag:NNP'
434 +-0.463561 O b'+1:postag:VBG'
435 +-0.472320 Anti b'+1:lemma:anti-fur'
436 +-0.484075 O b'lemma:aerobically'
437 +-0.484194 O b'-1:postag::'
438 +-0.498931 Supp b'+1:postag:NNS'
439 +-0.503746 Supp b'+1:lemma:,'
440 +-0.503746 Supp b'+1:postag:,'
441 +-0.516754 Supp b'-2:lemma:treat'
442 +-0.528514 O b'+2:lemma:add'
443 +-0.529405 O b'-2:lemma:glucose'
444 +-0.533457 O b'+1:lemma:mm'
445 +-0.546157 Supp b'lemma:10'
446 +-0.565127 Supp b'+1:lemma:-lrb-'
447 +-0.566088 Med b'-2:postag:VBN'
448 +-0.566661 O b'-1:lemma:dissolve'
449 +-0.566661 O b'+1:lemma:methanol'
450 +-0.570423 O b'lemma:wt'
451 +-0.580351 O b'-2:lemma:supplement'
452 +-0.586279 Phase b'+1:postag:NN'
453 +-0.593248 Supp b'+1:postag:-LRB-'
454 +-0.597210 O b'-1:lemma:grow'
455 +-0.598482 O b'-1:lemma:co2'
456 +-0.601257 O b'lemma:anaerobically'
457 +-0.603375 O b'-2:lemma::'
458 +-0.604605 O b'+2:lemma:10'
459 +-0.608424 Med b'+2:postag:VBN'
460 +-0.640686 O b'-1:lemma:rpob'
461 +-0.648211 O b'-1:lemma:mm'
462 +-0.677339 O b'+2:lemma:a'
463 +-0.691258 pH b'postag:NN'
464 +-0.714470 O b'-2:postag:SYM'
465 +-0.753388 O b'-2:postag:RB'
466 +-0.759391 O b'-1:lemma:vol'
467 +-0.759391 O b'-2:lemma:1/100'
468 +-0.759391 O b'+2:lemma:1m'
469 +-0.777706 O b'+2:lemma:fnr'
470 +-0.785687 O b'lemma:aerobic'
471 +-0.789592 Air b'+1:postag:JJ'
472 +-0.815302 O b'postag:VBP'
473 +-0.841098 O b'lemma:2h'
474 +-0.841098 O b'-1:lemma:additional'
475 +-0.842931 O b'+2:lemma:mid-log'
476 +-0.851282 O b'+2:lemma:then'
477 +-0.861129 O b'+1:lemma:until'
478 +-0.862940 Supp b'-2:postag:JJ'
479 +-0.870874 O b'+2:postag:-RRB-'
480 +-0.875415 O b'-2:lemma:2'
481 +-0.885220 O b'lemma:of'
482 +-0.896666 O b'-1:lemma:30'
483 +-0.902553 Air b'postag:NN'
484 +-0.931783 O b'+2:lemma:+'
485 +-0.932080 O b'-2:postag:DT'
486 +-1.044263 O b'+2:lemma:b'
487 +-1.102463 O b'lemma:rifampicin'
488 +-1.119605 O b'lemma:\xce\xb4fur'
489 +-1.163234 O b'lemma:media'
490 +-1.202846 O b'-1:lemma:ph'
491 +-1.209159 O b'-1:lemma:nsrr'
492 +-1.238185 O b'-1:lemma:2'
493 +-1.242160 O b'+1:lemma:at'
494 +-1.252527 Temp b'postag:NN'
495 +-1.263981 Med b'-2:lemma:grow'
496 +-1.295021 O b'-2:lemma:0.3'
497 +-1.322790 Phase b'-1:postag:JJ'
498 +-1.350768 O b'-1:lemma:IP'
499 +-1.357106 Gtype b'+2:lemma:cra'
500 +-1.384802 O b'+1:lemma:in'
501 +-1.421905 O b'+1:lemma:2.0'
502 +-1.436909 OD b'+1:postag:NN'
503 +-1.437140 Anti b'+2:lemma:polyclonal'
504 +-1.442674 Supp b'+2:lemma:2'
505 +-1.474029 O b'-1:postag:VBG'
506 +-1.510725 O b'-1:lemma:1'
507 +-1.511208 O b'+2:lemma:rifampicin'
508 +-1.539773 Supp b'+2:lemma:1'
509 +-1.576652 O b'-1:lemma:sample'
510 +-1.596285 Supp b'+2:postag:CD'
511 +-1.602706 Supp b'+2:lemma:fructose'
512 +-1.609888 OD b'+2:lemma:aerobically'
513 +-1.653266 O b'-2:lemma:rifampicin'
514 +-1.693828 O b'lemma:30'
515 +-1.745628 Supp b'postag:JJ'
516 +-1.754845 Phase b'postag:JJ'
517 +-2.081244 Gtype b'postag:VBG'
518 +-2.085569 O b'lemma:0.3'
519 +-2.233412 O b'+1:lemma:1'
520 +-2.309269 Anti b'postag:NNP'
521 +-2.656990 O b'+1:lemma:2'
522 +-3.924521 O b'-1:lemma::'
523 +-4.650524 O b'-1:lemma:_'
524 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.044162082189650204, 'c2': 0.029804343353737328}
5 +best CV score:0.8706581096952577
6 +model size: 0.14M
7 +
8 +Flat F1: 0.7969827918323339
9 + precision recall f1-score support
10 +
11 + OD 0.818 0.818 0.818 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 1.000 1.000 23
14 + Med 1.000 0.962 0.981 53
15 + Temp 0.923 0.828 0.873 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.882 1.000 0.938 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.875 0.824 0.848 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.752 0.813 0.781 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.815 0.787 0.797 451
28 +
29 +
30 +Top likely transitions:
31 +Supp -> Supp 5.670083
32 +Temp -> Temp 5.254231
33 +Agit -> Agit 5.011354
34 +Med -> Med 4.713332
35 +OD -> OD 4.391989
36 +Anti -> Anti 4.030410
37 +O -> O 3.948161
38 +Gtype -> Gtype 3.922534
39 +Phase -> Phase 3.864108
40 +Gversion -> Gversion 3.673104
41 +Air -> Air 3.570167
42 +Technique -> Technique 3.152316
43 +pH -> pH 2.370151
44 +Substrain -> Gtype 1.132148
45 +O -> Technique 0.880743
46 +Air -> O 0.699229
47 +Supp -> O 0.507469
48 +O -> Supp 0.436503
49 +Gtype -> Supp 0.431300
50 +Technique -> Air 0.416894
51 +Gtype -> Air 0.341610
52 +Temp -> O 0.264669
53 +O -> Gtype 0.262204
54 +O -> Temp 0.066407
55 +Med -> O 0.014255
56 +pH -> O 0.001942
57 +OD -> Technique -0.000000
58 +Supp -> Air -0.000026
59 +Supp -> Gversion -0.000029
60 +Med -> Air -0.000244
61 +O -> Anti -0.000275
62 +Gversion -> Technique -0.000419
63 +Air -> Technique -0.005983
64 +Gversion -> Gtype -0.043836
65 +Supp -> Phase -0.058360
66 +Technique -> Supp -0.061859
67 +Gtype -> Substrain -0.064135
68 +Phase -> O -0.078917
69 +Phase -> Air -0.082322
70 +Gtype -> Temp -0.084430
71 +OD -> O -0.091084
72 +Phase -> Med -0.098419
73 +O -> Phase -0.106844
74 +Anti -> Supp -0.110681
75 +Gtype -> OD -0.111764
76 +OD -> Supp -0.112906
77 +O -> Gversion -0.170423
78 +Gversion -> Supp -0.175049
79 +Air -> Phase -0.184406
80 +Supp -> Gtype -0.187183
81 +
82 +
83 +Top unlikely transitions:
84 +O -> Anti -0.000275
85 +Gversion -> Technique -0.000419
86 +Air -> Technique -0.005983
87 +Gversion -> Gtype -0.043836
88 +Supp -> Phase -0.058360
89 +Technique -> Supp -0.061859
90 +Gtype -> Substrain -0.064135
91 +Phase -> O -0.078917
92 +Phase -> Air -0.082322
93 +Gtype -> Temp -0.084430
94 +OD -> O -0.091084
95 +Phase -> Med -0.098419
96 +O -> Phase -0.106844
97 +Anti -> Supp -0.110681
98 +Gtype -> OD -0.111764
99 +OD -> Supp -0.112906
100 +O -> Gversion -0.170423
101 +Gversion -> Supp -0.175049
102 +Air -> Phase -0.184406
103 +Supp -> Gtype -0.187183
104 +Technique -> OD -0.190052
105 +Gtype -> Gversion -0.198104
106 +Phase -> Technique -0.204487
107 +Phase -> Supp -0.209738
108 +Gtype -> Phase -0.221329
109 +Phase -> OD -0.244051
110 +Anti -> Gtype -0.311771
111 +Air -> Med -0.321626
112 +Air -> Gtype -0.339099
113 +Air -> Temp -0.358085
114 +Air -> Agit -0.378119
115 +Gtype -> Anti -0.413121
116 +O -> Med -0.423939
117 +Agit -> Air -0.427878
118 +Technique -> pH -0.452260
119 +Technique -> Gtype -0.453250
120 +Gversion -> O -0.456685
121 +Supp -> Technique -0.471510
122 +Temp -> Med -0.480258
123 +OD -> Air -0.496263
124 +Air -> Supp -0.503893
125 +Technique -> O -0.618334
126 +O -> OD -0.660464
127 +Gtype -> Med -0.752077
128 +Gtype -> Technique -0.755956
129 +Gtype -> O -0.808067
130 +Supp -> Med -0.862326
131 +Substrain -> O -1.074379
132 +O -> Air -1.358505
133 +Med -> Supp -1.446843
134 +
135 +
136 +Top positive:
137 +4.573871 O b'lemma:2'
138 +4.517132 Anti b'-2:lemma:antibody'
139 +3.918900 O b'lemma:1'
140 +3.762153 O b'-2:lemma:_'
141 +3.676989 Air b'word[:2]:Ae'
142 +3.513121 Technique b'word[:2]:Ch'
143 +3.487470 O b'word[:2]:re'
144 +3.453615 O b'lemma:3'
145 +3.410530 Gtype b'word[:1]:\xce\x94'
146 +3.253388 Phase b'-2:lemma:phase'
147 +3.161045 Supp b'lemma:acetate'
148 +3.107117 O b'lemma:with'
149 +3.044380 O b'lemma:_'
150 +3.044380 O b'word[:1]:_'
151 +2.983175 OD b'word[:1]:O'
152 +2.941437 Supp b'-1:lemma:with'
153 +2.930652 Gtype b'-1:lemma:\xe2\x88\x86'
154 +2.920959 Phase b'lemma:mid-log'
155 +2.889906 Air b'lemma:anaerobic'
156 +2.870929 O b'lemma:a'
157 +2.822057 Air b'word[:2]:An'
158 +2.820469 Supp b'lemma:arginine'
159 +2.801859 Air b'word[:1]:A'
160 +2.780610 Supp b'-1:lemma:Cra'
161 +2.651063 O b'lemma:-'
162 +2.650338 Supp b'-1:lemma:final'
163 +2.629666 O b'-2:lemma:myc'
164 +2.548913 O b'-1:lemma:tag'
165 +2.540238 Supp b'+2:lemma:iptg'
166 +2.444337 Supp b'word[:1]:I'
167 +2.424276 O b'-2:lemma:medium'
168 +2.416308 O b'+2:lemma:\xc2\xb0c'
169 +2.367304 Technique b'word[:2]:RN'
170 +2.366428 Supp b'-1:postag:CC'
171 +2.323976 Supp b'+1:lemma:1'
172 +2.323481 Anti b'+1:lemma:antibody'
173 +2.296032 O b'lemma:.'
174 +2.296032 O b'postag:.'
175 +2.296032 O b'postag[:1]:.'
176 +2.293419 Gtype b'-2:lemma:genotype/variation'
177 +2.263949 Substrain b'word[:2]:MG'
178 +2.253514 Anti b'+2:lemma:antibody'
179 +2.234802 Supp b'lemma:Iron'
180 +2.234802 Supp b'word[:2]:Ir'
181 +2.234802 Supp b'-2:lemma:Anaerobic'
182 +2.224903 Supp b'lemma:pq'
183 +2.224903 Supp b'word[:2]:PQ'
184 +2.221321 Gtype b'lemma:type'
185 +2.221321 Gtype b'word[:2]:ty'
186 +2.211713 Supp b'+1:lemma:\xc2\xb5m'
187 +2.185949 O b'-1:lemma:glucose'
188 +2.178554 Gtype b'word[:2]:Fl'
189 +2.176096 Gtype b'hGreek'
190 +2.169798 O b'+1:postag:RB'
191 +2.145528 O b'-1:lemma:0.3'
192 +2.123487 Gtype b'lemma:wt'
193 +2.107697 Supp b'-1:lemma:_'
194 +2.097155 O b'word[:2]:Cr'
195 +2.082178 Supp b'lemma:nacl'
196 +2.060364 Med b'lemma:MOPS'
197 +2.060364 Med b'word[:2]:MO'
198 +2.053231 Med b'+2:postag:CC'
199 +2.051275 Supp b'word[:2]:ni'
200 +2.042917 pH b'word[:2]:pH'
201 +2.031673 O b'word[:2]:ge'
202 +2.021947 Substrain b'word[:1]:M'
203 +2.011615 O b'lemma:argr'
204 +2.001860 O b'-2:lemma:fructose'
205 +1.996958 O b'lemma:purr'
206 +1.986551 O b'+1:lemma:pq'
207 +1.984749 O b'word[:1]:B'
208 +1.982332 Technique b'word[:1]:R'
209 +1.981990 Phase b'lemma:stationary'
210 +1.934014 O b'word[:2]:Rp'
211 +1.932482 O b'-1:lemma:anaerobic'
212 +1.924219 Gtype b'lemma:\xe2\x88\x86'
213 +1.924219 Gtype b'word[:1]:\xe2\x88\x86'
214 +1.895338 Supp b'+1:lemma:2'
215 +1.878701 Gtype b'word[:1]:W'
216 +1.876510 O b'word[:1]:G'
217 +1.858152 Gtype b'-2:postag:DT'
218 +1.836059 O b'+2:lemma:cra'
219 +1.828873 O b'word[:2]:Pu'
220 +1.827035 OD b'word[:2]:OD'
221 +1.822540 O b'word[:1]:S'
222 +1.806311 O b'postag::'
223 +1.806311 O b'postag[:1]::'
224 +1.800600 pH b'+1:postag:CD'
225 +1.791696 O b'word[:1]:c'
226 +1.789516 O b'-2:lemma:ChIP-Seq'
227 +1.783076 O b'+2:lemma:70'
228 +1.779545 Air b'lemma:Aerobic'
229 +1.771582 Gversion b'lemma:chip-seq'
230 +1.766211 Med b'word[:1]:L'
231 +1.758126 O b'+2:lemma:fructose'
232 +1.756952 O b'-1:lemma:media'
233 +1.756327 O b'lemma:b'
234 +1.748259 O b'word[:2]:ch'
235 +1.737653 O b'+1:lemma:250'
236 +1.731658 Supp b'lemma:nitrate'
237 +1.713215 Gtype b'+1:lemma:type'
238 +1.710562 Med b'word[:1]:M'
239 +1.691656 Phase b'+1:lemma:phase'
240 +1.685599 Gtype b'word[:1]:d'
241 +1.683678 Temp b'+1:lemma:\xc2\xb0c'
242 +1.683098 Supp b'-1:lemma:+'
243 +1.680349 O b'-1:lemma:aerobically'
244 +1.679518 Supp b'+2:lemma:for'
245 +1.667720 Phase b'word[:2]:ex'
246 +1.664701 Supp b'word[:2]:ac'
247 +1.660497 Gtype b'word[:1]:F'
248 +1.651765 Gtype b'word[:2]:PK'
249 +1.639770 Gtype b'lemma:flag-tag'
250 +1.639770 Gtype b'-1:lemma:c-terminal'
251 +1.636705 Supp b'-2:lemma:argr'
252 +1.635237 Gtype b'word[:2]:WT'
253 +1.629154 O b'lemma:Nac'
254 +1.628538 Air b'word[:1]:a'
255 +1.628414 Med b'lemma:minimal'
256 +1.627212 O b'word[:2]:ha'
257 +1.626169 Gtype b'+1:lemma:with'
258 +1.625888 O b'+1:postag:NNP'
259 +1.619736 O b'+1:lemma:chip-seq'
260 +1.607311 Supp b'lemma:fructose'
261 +1.604728 Gtype b'-2:lemma:genotype'
262 +1.603557 Gtype b'lemma:nsrr'
263 +1.603557 Gtype b'word[:2]:Ns'
264 +1.603074 Supp b'lemma:glucose'
265 +1.602745 O b'-1:lemma:\xc2\xb0c'
266 +1.598758 Med b'+2:lemma:b2'
267 +1.598354 Gtype b'-1:lemma:_'
268 +1.594027 Supp b'lemma:Leu'
269 +1.594027 Supp b'word[:2]:Le'
270 +1.594027 Supp b'-2:lemma:Lrp'
271 +1.591661 O b'lemma:A'
272 +1.582547 O b'-1:lemma:Aerobic'
273 +1.575327 Supp b'+1:lemma:_'
274 +1.570281 O b'word[:1]:R'
275 +1.568703 O b'-2:lemma:flagtag'
276 +1.565893 Phase b'+2:lemma:o.d.'
277 +1.551889 Supp b'lemma:no3'
278 +1.551889 Supp b'word[:2]:NO'
279 +1.548644 Gtype b'+1:lemma:flagtag'
280 +1.540544 Supp b'-2:lemma:media'
281 +1.538313 O b'+1:lemma:od600'
282 +1.531185 Supp b'-2:lemma:induce'
283 +1.528143 Temp b'-1:lemma:43'
284 +1.521079 Supp b'word[:2]:Fe'
285 +1.519815 Gtype b'+2:lemma:glucose'
286 +1.509812 Supp b'word[:2]:gl'
287 +1.505012 O b'-1:lemma:lb'
288 +1.504397 Supp b'lemma:Adenine'
289 +1.504397 Supp b'word[:2]:Ad'
290 +1.493982 Air b'-2:lemma:%'
291 +1.493425 Technique b'word[:1]:C'
292 +1.484047 Technique b'lemma:ChIP-exo'
293 +1.484009 Supp b'+2:lemma:rifampicin'
294 +1.481786 Supp b'-2:lemma:purr'
295 +1.476648 Supp b'-1:lemma:sodium'
296 +1.476648 Supp b'+2:lemma:1/100'
297 +1.475748 Temp b'lemma:43'
298 +1.475748 Temp b'word[:2]:43'
299 +1.475312 Anti b'word[:2]:an'
300 +1.472220 Temp b'-2:lemma:\xcf\x8332'
301 +1.460306 Supp b'-2:lemma:condition'
302 +1.458045 Temp b'-1:lemma:\xcf\x8332'
303 +1.452126 O b'postag:IN'
304 +1.452126 O b'postag[:1]:I'
305 +1.452126 O b'postag[:2]:IN'
306 +1.446316 Gtype b'-1:lemma:rpob'
307 +1.445179 O b'+2:postag:JJ'
308 +1.441264 Gtype b'word[:1]:w'
309 +1.409352 Supp b'-2:lemma:agent'
310 +1.398563 Phase b'word[:1]:e'
311 +1.391992 Gtype b'-2:lemma:delta'
312 +1.390517 Strain b'+1:lemma:substr'
313 +1.390517 Strain b'-2:lemma:str'
314 +1.386478 O b'word[:1]:-'
315 +1.383676 O b'-2:lemma:no3'
316 +1.382867 Supp b'word[:1]:N'
317 +1.379586 O b'lemma:growth'
318 +1.375672 O b'word[:2]:In'
319 +1.373601 O b'-2:lemma:='
320 +1.372653 Air b'+1:postag:IN'
321 +1.369649 Air b'-1:lemma:ChIP-Seq'
322 +1.366267 Technique b'+2:lemma:ph5'
323 +1.363638 O b'postag:CC'
324 +1.363638 O b'postag[:2]:CC'
325 +1.362930 Air b'-2:lemma:IP'
326 +1.357050 Gtype b'-1:postag:VBG'
327 +1.356760 Gtype b'word[:2]:Ar'
328 +1.356125 pH b'word[:1]:p'
329 +1.352664 Gtype b'lemma:arca8myc'
330 +1.352664 Gtype b'-2:lemma:chip-arca'
331 +1.351882 Gversion b'-2:lemma:build'
332 +1.351286 Substrain b'+1:lemma:phtpg'
333 +1.349261 Gtype b'symb'
334 +1.346252 Gtype b'-2:lemma:affyexp'
335 +1.345488 Air b'lemma:aerobic'
336 +1.336503 pH b'lemma:ph5'
337 +
338 +
339 +Top negative:
340 +-0.330183 O b'lemma:aerobically'
341 +-0.333091 Gtype b'word[:1]:-'
342 +-0.337229 O b'+2:lemma:for'
343 +-0.338988 Anti b'+2:postag:JJ'
344 +-0.340025 Phase b'+1:lemma:pahse'
345 +-0.345106 O b'+1:lemma:phosphate'
346 +-0.350740 O b'-2:lemma:fresh'
347 +-0.359220 Supp b'+2:postag:NNP'
348 +-0.360686 O b'lemma:glucose'
349 +-0.363021 Technique b'lemma:chip-exo'
350 +-0.365042 O b'lemma:sodium'
351 +-0.374157 Supp b'+2:postag::'
352 +-0.387303 O b'-2:lemma:a'
353 +-0.389190 Supp b'-2:postag:NNS'
354 +-0.391761 O b'+2:lemma:0.2'
355 +-0.392117 O b'-1:lemma:g/l'
356 +-0.393789 O b'lemma:250'
357 +-0.396500 Supp b'postag:JJ'
358 +-0.398947 Supp b'postag[:1]:J'
359 +-0.398947 Supp b'postag[:2]:JJ'
360 +-0.401893 O b'-2:postag:SYM'
361 +-0.403955 O b'word[:2]:me'
362 +-0.405899 O b'-1:lemma:contain'
363 +-0.407741 O b'+2:lemma:at'
364 +-0.407872 O b'-2:postag:DT'
365 +-0.409919 Vess b'hUpper'
366 +-0.409919 Vess b'hLower'
367 +-0.416096 Air b'postag:NN'
368 +-0.419923 Supp b'-2:postag:NN'
369 +-0.420193 Supp b'-1:lemma:-lrb-'
370 +-0.422451 O b'+1:lemma:supplement'
371 +-0.426042 Med b'+1:postag:IN'
372 +-0.428819 Supp b'+2:lemma:acetate'
373 +-0.433421 Temp b'postag:NN'
374 +-0.442149 Supp b'+2:postag:NN'
375 +-0.442542 O b'word[:1]:F'
376 +-0.448178 Phase b'postag:JJ'
377 +-0.453154 Temp b'hGreek'
378 +-0.454481 O b'+2:lemma:genome'
379 +-0.456569 Supp b'-2:lemma:grow'
380 +-0.456675 Supp b'+2:lemma:glucose'
381 +-0.461633 O b'lemma:methanol'
382 +-0.461633 O b'-2:lemma:dissolve'
383 +-0.463555 Supp b'-1:postag:-LRB-'
384 +-0.470483 O b'word[:2]:ce'
385 +-0.474148 O b'word[:1]:K'
386 +-0.478774 OD b'+2:postag:NN'
387 +-0.479416 O b'-1:lemma:iptg'
388 +-0.482417 O b'-1:lemma:ml'
389 +-0.482582 Med b'-2:postag:VBN'
390 +-0.493533 O b'+1:postag:IN'
391 +-0.494661 O b'-2:lemma:phase'
392 +-0.500742 O b'lemma:37'
393 +-0.500742 O b'word[:2]:37'
394 +-0.503770 Gtype b'+1:lemma:-rrb-'
395 +-0.509384 O b'-1:lemma:grow'
396 +-0.512233 O b'+1:lemma:m'
397 +-0.512351 Gtype b'word[:1]:h'
398 +-0.529387 O b'+2:lemma:reference'
399 +-0.532265 O b'lemma:anaerobically'
400 +-0.540496 O b'word[:2]:mg'
401 +-0.548480 O b'word[:2]:pH'
402 +-0.550459 Gtype b'-1:lemma:mg1655'
403 +-0.550831 Supp b'-1:postag:NNP'
404 +-0.554325 O b'word[:2]:Fe'
405 +-0.555780 O b'+2:lemma:.'
406 +-0.555780 O b'+2:postag:.'
407 +-0.565490 O b'word[:1]:\xce\x94'
408 +-0.573716 O b'lemma:aerobic'
409 +-0.581553 O b'-2:postag:RB'
410 +-0.582735 O b'-1:lemma:dissolve'
411 +-0.582735 O b'+1:lemma:methanol'
412 +-0.583732 O b'-1:lemma:fresh'
413 +-0.584010 O b'-2:lemma:nh4cl'
414 +-0.585197 O b'word[:2]:ri'
415 +-0.587643 Phase b'postag[:1]:J'
416 +-0.587643 Phase b'postag[:2]:JJ'
417 +-0.594097 O b'-2:lemma:genome'
418 +-0.594675 Supp b'-2:lemma:treat'
419 +-0.594880 O b'+1:lemma:1m'
420 +-0.594880 O b'-2:lemma:vol'
421 +-0.598558 O b'-1:lemma:30'
422 +-0.612132 O b'lemma:2h'
423 +-0.612132 O b'-1:lemma:additional'
424 +-0.612132 O b'word[:2]:2h'
425 +-0.614071 O b'-2:lemma:control'
426 +-0.625762 O b'-1:lemma:until'
427 +-0.628113 Agit b'hUpper'
428 +-0.628113 Agit b'hLower'
429 +-0.629464 O b'+1:postag:VBG'
430 +-0.630986 O b'-2:lemma:aerobically'
431 +-0.640153 O b'-2:lemma:pahse'
432 +-0.640520 O b'lemma:media'
433 +-0.645230 O b'+2:lemma:fnr'
434 +-0.647923 O b'lemma:\xe2\x88\x86'
435 +-0.647923 O b'word[:1]:\xe2\x88\x86'
436 +-0.648261 Supp b'+1:lemma:-lrb-'
437 +-0.648721 O b'+2:lemma:10'
438 +-0.649047 Med b'symb'
439 +-0.658009 O b'-1:lemma:vol'
440 +-0.658009 O b'-2:lemma:1/100'
441 +-0.658009 O b'+2:lemma:1m'
442 +-0.658618 O b'lemma:rifampicin'
443 +-0.660887 O b'+1:lemma:rep2'
444 +-0.661727 Supp b'+1:postag:-LRB-'
445 +-0.665690 Supp b'hGreek'
446 +-0.675815 O b'-1:lemma:37'
447 +-0.677865 O b'word[:2]:0.'
448 +-0.679218 O b'+1:lemma:g/l'
449 +-0.696412 O b'lemma:30'
450 +-0.698147 O b'-1:lemma:cra'
451 +-0.699397 Supp b'lemma:1'
452 +-0.701578 O b'-2:lemma:supplement'
453 +-0.702738 O b'-2:postag::'
454 +-0.703354 O b'-1:lemma:IP'
455 +-0.710621 O b'+2:postag:-RRB-'
456 +-0.719378 Temp b'-2:postag:NN'
457 +-0.722820 O b'+1:lemma:phase'
458 +-0.725117 O b'word[:1]:M'
459 +-0.725209 O b'word[:1]:L'
460 +-0.728868 Supp b'+1:lemma:,'
461 +-0.728868 Supp b'+1:postag:,'
462 +-0.729747 O b'-1:lemma:co2'
463 +-0.732049 O b'word[:1]:0'
464 +-0.732854 O b'lemma:anaerobic'
465 +-0.737211 Agit b'symb'
466 +-0.737781 O b'+1:lemma:_'
467 +-0.738890 O b'+1:lemma:until'
468 +-0.746903 O b'-1:lemma:2'
469 +-0.753105 Anti b'+2:lemma:polyclonal'
470 +-0.756009 Supp b'+1:postag:NNS'
471 +-0.762043 Supp b'word[:2]:an'
472 +-0.766144 Gtype b'-2:lemma:\xe2\x88\x86'
473 +-0.782585 O b'-1:lemma:1'
474 +-0.783172 Technique b'postag:NN'
475 +-0.791028 O b'-2:lemma:dpd'
476 +-0.791117 Gtype b'postag[:1]:V'
477 +-0.791117 Gtype b'postag[:2]:VB'
478 +-0.795652 O b'+2:lemma:mid-log'
479 +-0.814979 O b'lemma:fructose'
480 +-0.818308 O b'+2:lemma:tag'
481 +-0.819349 O b'word[:1]:4'
482 +-0.827940 Phase b'-1:postag:JJ'
483 +-0.840950 O b'+2:lemma:b'
484 +-0.843002 O b'+2:lemma:+'
485 +-0.847830 Supp b'-2:postag:JJ'
486 +-0.872363 O b'word[:1]:d'
487 +-0.873207 O b'lemma:nitrate'
488 +-0.882236 O b'+2:lemma:250'
489 +-0.891744 O b'-2:lemma:IP'
490 +-0.894472 O b'-2:lemma::'
491 +-0.913166 O b'-2:lemma:0.3'
492 +-0.917548 O b'+2:lemma:then'
493 +-0.918623 Air b'-1:postag:JJ'
494 +-0.971796 O b'lemma:0.3'
495 +-0.992363 Anti b'+1:lemma:anti-fur'
496 +-1.000844 O b'word[:2]:fl'
497 +-1.013750 O b'+1:lemma:2.0'
498 +-1.026340 O b'lemma:mid-log'
499 +-1.036499 O b'word[:2]:ni'
500 +-1.065659 Phase b'hUpper'
501 +-1.065659 Phase b'hLower'
502 +-1.068286 O b'-1:postag::'
503 +-1.083222 O b'word[:2]:30'
504 +-1.097164 O b'+1:lemma:+'
505 +-1.104071 O b'-2:lemma:until'
506 +-1.119190 Supp b'word[:1]:C'
507 +-1.133243 Supp b'symb'
508 +-1.144789 O b'-1:lemma:\xe2\x88\x86'
509 +-1.146624 O b'-2:lemma:rifampicin'
510 +-1.150733 O b'-1:lemma:ph'
511 +-1.195095 Gtype b'word[:1]:C'
512 +-1.198322 OD b'+1:postag:NN'
513 +-1.211645 Supp b'+2:lemma:1'
514 +-1.218440 O b'-1:lemma:nsrr'
515 +-1.228481 Anti b'postag:NNP'
516 +-1.235955 Med b'+2:postag:VBN'
517 +-1.254294 O b'word[:1]:N'
518 +-1.260075 O b'-2:lemma:media'
519 +-1.274766 O b'postag:VBP'
520 +-1.280395 O b'-1:lemma:sample'
521 +-1.291770 Supp b'+2:postag:CD'
522 +-1.323295 Gtype b'+2:lemma:cra'
523 +-1.334984 O b'lemma:wt'
524 +-1.365178 Supp b'+2:lemma:2'
525 +-1.369037 O b'+2:lemma:rifampicin'
526 +-1.402494 O b'+1:lemma:in'
527 +-1.453133 O b'+1:lemma:at'
528 +-1.489269 O b'-1:lemma:rpob'
529 +-1.489467 Med b'-2:lemma:grow'
530 +-1.507468 O b'-1:lemma:final'
531 +-1.645797 O b'word[:1]:P'
532 +-1.693990 Supp b'+2:lemma:fructose'
533 +-1.865218 O b'+1:lemma:1'
534 +-1.868753 O b'-1:postag:VBG'
535 +-1.947849 O b'+1:lemma:2'
536 +-1.949557 OD b'+2:lemma:aerobically'
537 +-1.994778 O b'word[:2]:Ch'
538 +-3.488442 O b'-1:lemma::'
539 +-3.970946 O b'-1:lemma:_'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.216886783747496, 'c2': 0.06401679314680564}
5 +best CV score:0.8628969551909399
6 +model size: 0.09M
7 +
8 +Flat F1: 0.7959513846538584
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 0.913 0.955 23
14 + Med 1.000 0.943 0.971 53
15 + Temp 0.923 0.828 0.873 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.875 0.933 0.903 15
19 + Air 0.543 0.362 0.435 69
20 + Anti 0.917 1.000 0.957 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.814 0.824 0.819 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.796 0.813 0.804 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.821 0.778 0.796 451
28 +
29 +
30 +Top likely transitions:
31 +Agit -> Agit 5.554988
32 +Supp -> Supp 5.075372
33 +Temp -> Temp 4.962367
34 +OD -> OD 4.808863
35 +Med -> Med 4.722789
36 +Air -> Air 4.233855
37 +O -> O 3.842262
38 +Anti -> Anti 3.839550
39 +Phase -> Phase 3.786109
40 +Gversion -> Gversion 3.561515
41 +Gtype -> Gtype 3.500625
42 +Technique -> Technique 2.701288
43 +pH -> pH 2.368505
44 +Air -> O 1.248758
45 +O -> Supp 1.184530
46 +Supp -> O 1.041831
47 +O -> Technique 0.884981
48 +Substrain -> Gtype 0.835591
49 +Gtype -> Supp 0.610921
50 +Med -> O 0.552574
51 +O -> Gtype 0.514570
52 +Gtype -> Air 0.471576
53 +Temp -> O 0.349650
54 +Technique -> Air 0.330874
55 +O -> Phase 0.267311
56 +Phase -> O 0.188152
57 +O -> Temp 0.115742
58 +OD -> O 0.034158
59 +pH -> O 0.026851
60 +O -> Anti 0.018274
61 +Supp -> Gtype -0.000011
62 +Technique -> Supp -0.000552
63 +O -> OD -0.010291
64 +Gtype -> Gversion -0.047313
65 +Anti -> Gtype -0.071853
66 +Agit -> Air -0.100169
67 +Gtype -> Anti -0.102605
68 +Gversion -> O -0.105812
69 +Supp -> Med -0.143033
70 +Technique -> pH -0.232213
71 +Technique -> Gtype -0.267078
72 +OD -> Air -0.314439
73 +O -> Air -0.465381
74 +Gtype -> Med -0.468979
75 +Technique -> O -0.504446
76 +Gtype -> Technique -0.550704
77 +Gtype -> O -0.582351
78 +Substrain -> O -0.875234
79 +Med -> Supp -1.007844
80 +
81 +
82 +Top unlikely transitions:
83 +Agit -> Agit 5.554988
84 +Supp -> Supp 5.075372
85 +Temp -> Temp 4.962367
86 +OD -> OD 4.808863
87 +Med -> Med 4.722789
88 +Air -> Air 4.233855
89 +O -> O 3.842262
90 +Anti -> Anti 3.839550
91 +Phase -> Phase 3.786109
92 +Gversion -> Gversion 3.561515
93 +Gtype -> Gtype 3.500625
94 +Technique -> Technique 2.701288
95 +pH -> pH 2.368505
96 +Air -> O 1.248758
97 +O -> Supp 1.184530
98 +Supp -> O 1.041831
99 +O -> Technique 0.884981
100 +Substrain -> Gtype 0.835591
101 +Gtype -> Supp 0.610921
102 +Med -> O 0.552574
103 +O -> Gtype 0.514570
104 +Gtype -> Air 0.471576
105 +Temp -> O 0.349650
106 +Technique -> Air 0.330874
107 +O -> Phase 0.267311
108 +Phase -> O 0.188152
109 +O -> Temp 0.115742
110 +OD -> O 0.034158
111 +pH -> O 0.026851
112 +O -> Anti 0.018274
113 +Supp -> Gtype -0.000011
114 +Technique -> Supp -0.000552
115 +O -> OD -0.010291
116 +Gtype -> Gversion -0.047313
117 +Anti -> Gtype -0.071853
118 +Agit -> Air -0.100169
119 +Gtype -> Anti -0.102605
120 +Gversion -> O -0.105812
121 +Supp -> Med -0.143033
122 +Technique -> pH -0.232213
123 +Technique -> Gtype -0.267078
124 +OD -> Air -0.314439
125 +O -> Air -0.465381
126 +Gtype -> Med -0.468979
127 +Technique -> O -0.504446
128 +Gtype -> Technique -0.550704
129 +Gtype -> O -0.582351
130 +Substrain -> O -0.875234
131 +Med -> Supp -1.007844
132 +
133 +
134 +Top positive:
135 +4.945315 O b'lemma:2'
136 +4.341746 Anti b'-2:lemma:antibody'
137 +4.195357 O b'lemma:1'
138 +4.099828 O b'postag:IN'
139 +4.036396 Technique b'lemma[:2]:Ch'
140 +3.544794 O b'lemma:3'
141 +3.385486 O b'-2:lemma:_'
142 +3.361181 Gtype b'lemma[:1]:\xce\xb4'
143 +3.048558 O b'lemma[:2]:re'
144 +2.941595 Air b'lemma[:2]:ae'
145 +2.883410 Gtype b'-1:lemma:\xe2\x88\x86'
146 +2.795385 O b'lemma:.'
147 +2.795385 O b'postag:.'
148 +2.774702 O b'lemma:with'
149 +2.761558 O b'postag:CC'
150 +2.733259 Phase b'lemma:mid-log'
151 +2.669708 Technique b'lemma:chipseq'
152 +2.662398 O b'lemma:_'
153 +2.662398 O b'lemma[:1]:_'
154 +2.660918 Air b'lemma:anaerobic'
155 +2.627297 O b'postag::'
156 +2.598463 Gtype b'lemma:type'
157 +2.598463 Gtype b'lemma[:2]:ty'
158 +2.432498 Substrain b'lemma[:2]:mg'
159 +2.400856 O b'postag:VBN'
160 +2.383489 Supp b'-1:lemma:with'
161 +2.343528 O b'lemma:b'
162 +2.312992 O b'lemma[:1]:h'
163 +2.296178 Supp b'lemma:acetate'
164 +2.250448 OD b'lemma[:1]:o'
165 +2.249155 O b'lemma:-'
166 +2.239976 Supp b'+2:lemma:iptg'
167 +2.231349 O b'lemma:a'
168 +2.225541 Air b'lemma[:2]:an'
169 +2.205886 O b'lemma[:1]:-'
170 +2.191486 Supp b'lemma:arginine'
171 +2.188955 Supp b'-1:lemma:Cra'
172 +2.152971 Technique b'lemma[:2]:rn'
173 +2.138683 O b'+2:lemma:\xc2\xb0c'
174 +2.118949 O b'lemma[:2]:ge'
175 +2.063110 Supp b'lemma:pq'
176 +2.063110 Supp b'lemma[:2]:pq'
177 +2.058471 Technique b'lemma[:2]:ch'
178 +2.053130 Supp b'+1:lemma:1'
179 +2.052724 Gtype b'-2:lemma:genotype/variation'
180 +2.032657 Gtype b'+1:lemma:type'
181 +2.018103 O b'-2:lemma:medium'
182 +2.013044 Phase b'-2:lemma:phase'
183 +1.969228 Anti b'+2:lemma:antibody'
184 +1.917771 Med b'+2:postag:CC'
185 +1.912680 O b'+1:lemma:pq'
186 +1.908997 pH b'+1:postag:CD'
187 +1.892742 O b'-2:lemma:myc'
188 +1.861128 Supp b'+1:lemma:\xc2\xb5m'
189 +1.848815 Substrain b'lemma[:1]:m'
190 +1.826357 O b'-1:lemma:tag'
191 +1.822886 Air b'lemma:Aerobic'
192 +1.822886 Air b'lemma[:2]:Ae'
193 +1.819467 Supp b'lemma:Iron'
194 +1.819467 Supp b'lemma[:2]:Ir'
195 +1.819467 Supp b'-2:lemma:Anaerobic'
196 +1.817872 O b'-1:lemma:anaerobic'
197 +1.815269 Air b'-1:lemma:ChIP-Seq'
198 +1.810754 Gtype b'lemma:\xe2\x88\x86'
199 +1.810754 Gtype b'lemma[:1]:\xe2\x88\x86'
200 +1.802850 Anti b'+1:lemma:antibody'
201 +1.793608 Gtype b'-2:lemma:delta'
202 +1.790256 Anti b'lemma[:2]:an'
203 +1.782356 O b'postag:DT'
204 +1.779445 O b'-1:lemma:glucose'
205 +1.758763 Gtype b'lemma:wt'
206 +1.758763 Gtype b'lemma[:2]:wt'
207 +1.738367 Gtype b'lemma[:2]:pk'
208 +1.734234 Supp b'lemma[:2]:ac'
209 +1.720838 Air b'lemma[:1]:a'
210 +1.712115 Gtype b'hGreek'
211 +1.699093 pH b'lemma[:2]:ph'
212 +1.692913 O b'+1:postag:RB'
213 +1.678980 Gtype b'lemma:nsrr'
214 +1.678980 Gtype b'lemma[:2]:ns'
215 +1.669471 Technique b'lemma[:1]:C'
216 +1.654089 Med b'lemma:MOPS'
217 +1.654089 Med b'lemma[:1]:M'
218 +1.654089 Med b'lemma[:2]:MO'
219 +1.627991 Air b'-2:lemma:IP'
220 +1.617309 Gtype b'lemma[:1]:w'
221 +1.595727 O b'lemma[:1]:b'
222 +1.590514 Gversion b'lemma:chip-seq'
223 +1.582529 O b'lemma:rpob'
224 +1.580157 Air b'postag:RB'
225 +1.561107 O b'lemma[:1]:c'
226 +1.551094 Supp b'lemma:no3'
227 +1.548068 O b'+2:lemma:cra'
228 +1.540664 O b'+2:postag:JJ'
229 +1.527844 Phase b'lemma[:2]:ex'
230 +1.519293 O b'-1:lemma:0.3'
231 +1.517005 Air b'-1:lemma:-'
232 +1.516109 Supp b'+1:lemma:2'
233 +1.511280 Supp b'lemma[:1]:I'
234 +1.508371 O b'-1:lemma:lb'
235 +1.496440 O b'lemma[:1]:r'
236 +1.490081 Supp b'+1:lemma:_'
237 +1.462019 Air b'-2:lemma:%'
238 +1.448517 O b'+1:postag:NNP'
239 +1.437005 Supp b'-2:lemma:agent'
240 +1.427410 Med b'+2:lemma:b2'
241 +1.427381 Supp b'-1:postag:CC'
242 +1.427067 Gtype b'+1:lemma:with'
243 +1.426523 Temp b'-1:lemma:\xcf\x8332'
244 +1.417716 Gtype b'+2:lemma:glucose'
245 +1.414055 Supp b'lemma[:2]:gl'
246 +1.403575 O b'lemma:0.4'
247 +1.399935 O b'lemma[:1]:s'
248 +1.398381 O b'+1:lemma:coli'
249 +1.396647 O b'-1:lemma:Aerobic'
250 +1.395651 O b'lemma[:1]:a'
251 +1.376438 Temp b'lemma[:1]:3'
252 +1.375520 Med b'lemma:broth'
253 +1.375520 Med b'-1:lemma:L'
254 +1.375520 Med b'lemma[:2]:br'
255 +1.370316 Temp b'lemma:43'
256 +1.370316 Temp b'lemma[:2]:43'
257 +1.364176 O b'-2:lemma:no3'
258 +1.359800 Med b'+1:lemma:0.4'
259 +1.358059 Gtype b'lemma[:1]:f'
260 +1.356613 Temp b'-2:lemma:\xcf\x8332'
261 +1.352851 Med b'lemma[:1]:m'
262 +1.350253 Temp b'-1:lemma:sample'
263 +1.345652 Supp b'-1:lemma:+'
264 +1.343022 O b'-1:lemma:ChIP-exo'
265 +1.341728 Temp b'+1:lemma:\xc2\xb0c'
266 +1.341676 Supp b'-2:lemma:for'
267 +1.334197 Med b'lemma:lb'
268 +1.334197 Med b'lemma[:2]:lb'
269 +1.323689 O b'+2:lemma:70'
270 +1.320454 O b'lemma[:1]:C'
271 +1.317446 Supp b'lemma:fructose'
272 +1.316176 Temp b'-1:lemma:43'
273 +1.310735 O b'+2:lemma:of'
274 +1.307493 Gtype b'-1:lemma:_'
275 +1.291050 Air b'lemma[:1]:A'
276 +1.270256 Gtype b'+1:lemma::'
277 +1.265788 Gtype b'lemma[:1]:W'
278 +1.263375 Supp b'lemma:rifampicin'
279 +1.260542 pH b'lemma:ph5'
280 +1.260542 pH b'+1:lemma:.5'
281 +1.256282 Supp b'lemma[:2]:ri'
282 +1.248005 Gtype b'-2:lemma:genotype'
283 +1.238880 Gtype b'lemma[:2]:ar'
284 +1.230717 Supp b'lemma[:1]:n'
285 +1.230211 Supp b'lemma[:2]:fr'
286 +1.227615 Gtype b'-2:postag:DT'
287 +1.223309 Phase b'-1:lemma:mid-log'
288 +1.214876 O b'lemma:A'
289 +1.212092 O b'-2:lemma:ChIP-Seq'
290 +1.211550 Technique b'symb'
291 +1.210489 Supp b'-1:postag:CD'
292 +1.207243 Supp b'+2:lemma:rifampicin'
293 +1.196436 Supp b'lemma:glucose'
294 +1.194146 Technique b'-2:lemma:wt'
295 +1.191991 Technique b'-1:lemma:input'
296 +1.184869 Air b'+1:postag:IN'
297 +1.180469 O b'lemma:chip'
298 +1.176262 Gtype b'lemma[:2]:fl'
299 +1.175702 Technique b'-1:lemma:_'
300 +1.174787 Supp b'-2:lemma:media'
301 +1.161899 Supp b'-2:lemma:induce'
302 +1.161883 Technique b'+2:lemma:ph5'
303 +1.160285 O b'+1:lemma:od600'
304 +1.157966 Gtype b'-1:lemma:rpob'
305 +1.157628 Supp b'-2:lemma:supplement'
306 +1.156345 Supp b'-1:lemma:_'
307 +1.152383 O b'postag:NNS'
308 +1.151993 Gtype b'lemma[:2]:de'
309 +1.151326 O b'-2:postag:FW'
310 +1.150033 Gversion b'lemma:nc'
311 +1.150033 Gversion b'lemma[:2]:nc'
312 +1.146428 O b'-1:postag:NNS'
313 +1.146219 Temp b'+2:postag:DT'
314 +1.145615 Phase b'lemma[:1]:e'
315 +1.141344 Technique b'-1:lemma:chip-exo'
316 +1.138300 O b'+2:lemma:fructose'
317 +1.135372 Strain b'+1:lemma:substr'
318 +1.135372 Strain b'-2:lemma:str'
319 +1.134450 Supp b'+1:lemma:mm'
320 +1.134095 Technique b'lemma:ChIP-exo'
321 +1.127452 O b'-1:lemma:\xc2\xb0c'
322 +1.123950 O b'lemma[:2]:ga'
323 +1.123563 O b'-1:lemma:aerobically'
324 +1.121892 Air b'-1:lemma:co2'
325 +1.121232 O b'lemma:Cra'
326 +1.119372 Gtype b'-1:postag:VBG'
327 +1.110682 Agit b'lemma:rpm'
328 +1.102814 O b'lemma:ml'
329 +1.102814 O b'lemma[:2]:ml'
330 +1.100677 Gtype b'-2:postag::'
331 +1.098179 Gversion b'lemma[:2]:00'
332 +1.098179 Gversion b'-2:lemma:nc'
333 +1.095659 O b'+1:postag:VBN'
334 +1.095182 Gtype b'+1:lemma:flagtag'
335 +
336 +
337 +Top negative:
338 +-0.181799 O b'-1:lemma:minimal'
339 +-0.182920 O b'lemma[:2]:an'
340 +-0.183892 O b'+1:postag:-LRB-'
341 +-0.185276 O b'-1:postag:-LRB-'
342 +-0.186866 O b'lemma:co2'
343 +-0.188027 Supp b'lemma[:1]:o'
344 +-0.190218 Supp b'-2:lemma:treat'
345 +-0.191930 O b'-1:lemma:g/l'
346 +-0.195921 O b'lemma[:1]:I'
347 +-0.197205 Supp b'lemma[:2]:an'
348 +-0.197254 Gtype b'lemma[:1]:-'
349 +-0.202475 Med b'-1:postag:CD'
350 +-0.204438 O b'+1:lemma:1/100'
351 +-0.204438 O b'-2:lemma:sodium'
352 +-0.204438 O b'+2:lemma:vol'
353 +-0.209335 Supp b'+2:lemma:glucose'
354 +-0.209547 Med b'+1:postag:NN'
355 +-0.209855 O b'-2:lemma:genome'
356 +-0.217016 O b'-1:lemma:the'
357 +-0.222607 O b'+1:lemma:_'
358 +-0.224716 pH b'postag:NN'
359 +-0.224816 O b'lemma[:2]:0.'
360 +-0.226096 Gtype b'-2:postag:IN'
361 +-0.230261 Air b'symb'
362 +-0.237585 O b'lemma[:1]:d'
363 +-0.238640 O b'lemma[:1]:k'
364 +-0.241721 O b'-1:lemma:ml'
365 +-0.242115 Technique b'-2:postag:NN'
366 +-0.243901 O b'lemma:methanol'
367 +-0.243901 O b'-2:lemma:dissolve'
368 +-0.244002 Supp b'-2:postag:-LRB-'
369 +-0.249340 O b'-1:lemma:1m'
370 +-0.249340 O b'+2:lemma:7.6'
371 +-0.249697 Supp b'-1:postag:-LRB-'
372 +-0.249998 O b'lemma:30'
373 +-0.253734 O b'-2:lemma:rpob'
374 +-0.255409 O b'-2:lemma:fresh'
375 +-0.256485 Supp b'lemma[:1]:a'
376 +-0.264086 Supp b'lemma:1'
377 +-0.271675 Gtype b'-1:lemma:-lrb-'
378 +-0.272687 Gtype b'-1:lemma:mg1655'
379 +-0.273508 Supp b'hGreek'
380 +-0.275591 Supp b'postag:CD'
381 +-0.277360 O b'lemma:wt'
382 +-0.277360 O b'lemma[:2]:wt'
383 +-0.279018 Gtype b'-2:postag:CD'
384 +-0.285813 Supp b'+2:lemma:-rrb-'
385 +-0.291830 Temp b'-2:postag:NN'
386 +-0.293279 O b'lemma:media'
387 +-0.299936 O b'-2:lemma:mm'
388 +-0.303152 Med b'-1:postag:NN'
389 +-0.305132 Gtype b'postag:VBG'
390 +-0.311471 O b'lemma:2h'
391 +-0.311471 O b'-1:lemma:additional'
392 +-0.311471 O b'lemma[:2]:2h'
393 +-0.315237 O b'lemma:anaerobic'
394 +-0.317197 O b'-2:lemma:IP'
395 +-0.321974 O b'-2:lemma:supplement'
396 +-0.323791 O b'-2:lemma:nh4cl'
397 +-0.325166 Temp b'hGreek'
398 +-0.325746 O b'-2:lemma:anaerobically'
399 +-0.331627 OD b'hUpper'
400 +-0.331627 OD b'hLower'
401 +-0.334399 Gtype b'lemma[:1]:g'
402 +-0.334670 Supp b'+1:postag:-RRB-'
403 +-0.335261 O b'-2:lemma:glucose'
404 +-0.340278 O b'postag:VBP'
405 +-0.347843 O b'lemma[:1]:L'
406 +-0.348884 Air b'+1:postag:JJ'
407 +-0.349719 O b'+1:lemma:1m'
408 +-0.349719 O b'-2:lemma:vol'
409 +-0.355444 Gtype b'+1:lemma:-rrb-'
410 +-0.362398 O b'+2:lemma:a'
411 +-0.363139 Supp b'+2:postag:NNP'
412 +-0.363539 O b'+2:lemma:at'
413 +-0.373919 O b'lemma:anaerobically'
414 +-0.379359 Supp b'-2:postag:NNS'
415 +-0.382724 O b'+1:lemma:.'
416 +-0.382724 O b'+1:postag:.'
417 +-0.388857 O b'-2:postag:-LRB-'
418 +-0.407105 Supp b'+2:postag:-RRB-'
419 +-0.412054 O b'+2:lemma:.'
420 +-0.412054 O b'+2:postag:.'
421 +-0.413334 Supp b'+1:lemma:-lrb-'
422 +-0.416341 O b'lemma[:1]:n'
423 +-0.418014 O b'lemma[:1]:0'
424 +-0.424605 Med b'+1:postag:IN'
425 +-0.427442 Supp b'+1:postag:-LRB-'
426 +-0.429806 O b'+1:lemma:supplement'
427 +-0.432187 O b'-2:lemma:until'
428 +-0.435863 Gtype b'lemma[:1]:h'
429 +-0.436389 Technique b'-1:postag::'
430 +-0.438245 O b'-1:lemma:cra'
431 +-0.439539 O b'-1:lemma:30'
432 +-0.440803 Supp b'symb'
433 +-0.443573 Med b'+2:postag:VBN'
434 +-0.444210 O b'-1:lemma:dissolve'
435 +-0.444210 O b'+1:lemma:methanol'
436 +-0.445532 O b'-1:lemma:mm'
437 +-0.446820 O b'-2:lemma:phase'
438 +-0.450190 O b'+2:lemma:-rrb-'
439 +-0.451058 Supp b'-1:postag:NNP'
440 +-0.451224 O b'-1:lemma:iptg'
441 +-0.453056 O b'-1:postag:IN'
442 +-0.465158 Gtype b'lemma[:1]:c'
443 +-0.465723 O b'+2:lemma:tag'
444 +-0.468785 O b'lemma[:2]:ar'
445 +-0.475738 Supp b'lemma[:1]:s'
446 +-0.478308 O b'lemma:glucose'
447 +-0.482478 O b'+2:lemma:10'
448 +-0.492471 O b'lemma[:2]:gl'
449 +-0.496458 Gtype b'-2:lemma:\xe2\x88\x86'
450 +-0.510030 O b'-2:lemma:dpd'
451 +-0.515565 O b'lemma:0.3'
452 +-0.520091 O b'+1:postag:VBG'
453 +-0.522258 O b'-2:lemma:pahse'
454 +-0.522746 O b'-2:postag:SYM'
455 +-0.537818 Supp b'-2:postag:JJ'
456 +-0.545668 Gtype b'lemma[:1]:r'
457 +-0.551002 Temp b'postag:NN'
458 +-0.558760 Agit b'symb'
459 +-0.559204 Phase b'postag:JJ'
460 +-0.565136 Supp b'+1:lemma:,'
461 +-0.565136 Supp b'+1:postag:,'
462 +-0.571466 O b'-2:lemma:2'
463 +-0.575665 O b'+1:lemma:until'
464 +-0.577302 O b'-1:lemma:vol'
465 +-0.577302 O b'-2:lemma:1/100'
466 +-0.577302 O b'+2:lemma:1m'
467 +-0.579486 Med b'symb'
468 +-0.581741 O b'lemma:mid-log'
469 +-0.584913 O b'+1:lemma:mm'
470 +-0.585128 O b'+1:lemma:g/l'
471 +-0.586101 Anti b'+1:lemma:anti-fur'
472 +-0.588450 Technique b'postag:NN'
473 +-0.588511 Phase b'-1:postag:JJ'
474 +-0.588605 O b'+2:lemma:fnr'
475 +-0.590129 O b'+2:lemma:+'
476 +-0.590818 O b'+1:lemma:+'
477 +-0.593171 O b'-1:lemma:IP'
478 +-0.595139 O b'+2:lemma:mid-log'
479 +-0.611364 O b'+1:postag:IN'
480 +-0.617324 Agit b'hUpper'
481 +-0.617324 Agit b'hLower'
482 +-0.622906 O b'+2:lemma:then'
483 +-0.626564 Gtype b'lemma[:1]:a'
484 +-0.627601 O b'-1:lemma:rpob'
485 +-0.628334 Supp b'+1:postag:NNS'
486 +-0.636204 O b'-2:postag:DT'
487 +-0.642751 Med b'-2:lemma:grow'
488 +-0.647649 O b'postag:RB'
489 +-0.649486 O b'-1:lemma:final'
490 +-0.651235 O b'+2:lemma:b'
491 +-0.655430 O b'-1:lemma:\xe2\x88\x86'
492 +-0.667559 Anti b'+2:lemma:polyclonal'
493 +-0.669485 O b'lemma:of'
494 +-0.669485 O b'lemma[:2]:of'
495 +-0.672853 O b'-2:lemma::'
496 +-0.676614 O b'-1:lemma:ph'
497 +-0.682840 O b'-1:lemma:nsrr'
498 +-0.686283 O b'+2:postag:-RRB-'
499 +-0.694618 Air b'-1:postag:JJ'
500 +-0.738949 Anti b'postag:NNP'
501 +-0.752290 O b'lemma[:2]:me'
502 +-0.771704 Phase b'hUpper'
503 +-0.771704 Phase b'hLower'
504 +-0.788474 OD b'+2:lemma:aerobically'
505 +-0.820144 Supp b'+2:lemma:fructose'
506 +-0.836881 O b'-2:lemma:0.3'
507 +-0.847160 Supp b'lemma[:1]:c'
508 +-0.858158 Med b'-2:postag:VBN'
509 +-0.861995 O b'-1:lemma:1'
510 +-0.862880 Gtype b'+2:lemma:cra'
511 +-0.873409 O b'+1:lemma:at'
512 +-0.891828 OD b'+1:postag:NN'
513 +-0.923198 Air b'postag:NN'
514 +-0.925308 Supp b'+2:lemma:1'
515 +-0.925325 O b'lemma[:2]:ri'
516 +-0.933014 O b'+1:lemma:2.0'
517 +-0.978288 O b'-2:lemma:media'
518 +-0.980313 O b'lemma:rifampicin'
519 +-1.014527 O b'-1:lemma:co2'
520 +-1.018731 O b'-2:postag:RB'
521 +-1.030401 Supp b'+2:lemma:2'
522 +-1.065251 Supp b'postag:JJ'
523 +-1.073645 O b'+2:lemma:rifampicin'
524 +-1.083180 O b'-1:lemma:sample'
525 +-1.101292 O b'lemma[:2]:ae'
526 +-1.117896 O b'-2:lemma:rifampicin'
527 +-1.140184 O b'-1:postag::'
528 +-1.170288 O b'lemma[:2]:30'
529 +-1.232648 Supp b'+2:postag:CD'
530 +-1.238805 O b'-1:lemma:2'
531 +-1.545952 O b'-1:postag:VBG'
532 +-1.640423 O b'+1:lemma:in'
533 +-1.646059 O b'+1:lemma:1'
534 +-1.993830 O b'lemma[:2]:fl'
535 +-2.235667 O b'+1:lemma:2'
536 +-3.056150 O b'-1:lemma::'
537 +-3.928545 O b'-1:lemma:_'
538 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.19432865325703363, 'c2': 0.003040980714530674}
5 +best CV score:0.8693465985146905
6 +model size: 0.10M
7 +
8 +Flat F1: 0.7784025356677224
9 + precision recall f1-score support
10 +
11 + OD 1.000 0.818 0.900 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 0.913 0.955 23
14 + Med 1.000 0.943 0.971 53
15 + Temp 0.923 0.828 0.873 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.875 0.933 0.903 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.895 0.906 0.901 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.600 0.806 0.688 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.782 0.792 0.778 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 6.494919
32 +OD -> OD 6.471344
33 +Agit -> Agit 6.119106
34 +Med -> Med 5.417640
35 +Anti -> Anti 5.342032
36 +Supp -> Supp 5.069696
37 +Air -> Air 5.063209
38 +Gversion -> Gversion 4.772781
39 +Technique -> Technique 4.679875
40 +Gtype -> Gtype 4.566983
41 +Phase -> Phase 4.367362
42 +O -> O 4.012480
43 +pH -> pH 3.171066
44 +Substrain -> Gtype 2.054037
45 +Gtype -> Supp 1.338135
46 +O -> Technique 1.254842
47 +O -> Gtype 0.899456
48 +Technique -> Air 0.733598
49 +O -> Supp 0.690130
50 +Gtype -> Air 0.439886
51 +Air -> O 0.399521
52 +Med -> O 0.355588
53 +Temp -> O 0.164789
54 +O -> Phase 0.092964
55 +O -> OD 0.041552
56 +Supp -> O 0.021371
57 +O -> Anti 0.011391
58 +Supp -> Med -0.000215
59 +Phase -> OD -0.080887
60 +Technique -> Gtype -0.187130
61 +Air -> Supp -0.201431
62 +O -> Air -0.303507
63 +Technique -> O -0.393310
64 +Gtype -> O -0.823321
65 +Substrain -> O -0.979191
66 +Med -> Supp -2.040767
67 +
68 +
69 +Top unlikely transitions:
70 +Temp -> Temp 6.494919
71 +OD -> OD 6.471344
72 +Agit -> Agit 6.119106
73 +Med -> Med 5.417640
74 +Anti -> Anti 5.342032
75 +Supp -> Supp 5.069696
76 +Air -> Air 5.063209
77 +Gversion -> Gversion 4.772781
78 +Technique -> Technique 4.679875
79 +Gtype -> Gtype 4.566983
80 +Phase -> Phase 4.367362
81 +O -> O 4.012480
82 +pH -> pH 3.171066
83 +Substrain -> Gtype 2.054037
84 +Gtype -> Supp 1.338135
85 +O -> Technique 1.254842
86 +O -> Gtype 0.899456
87 +Technique -> Air 0.733598
88 +O -> Supp 0.690130
89 +Gtype -> Air 0.439886
90 +Air -> O 0.399521
91 +Med -> O 0.355588
92 +Temp -> O 0.164789
93 +O -> Phase 0.092964
94 +O -> OD 0.041552
95 +Supp -> O 0.021371
96 +O -> Anti 0.011391
97 +Supp -> Med -0.000215
98 +Phase -> OD -0.080887
99 +Technique -> Gtype -0.187130
100 +Air -> Supp -0.201431
101 +O -> Air -0.303507
102 +Technique -> O -0.393310
103 +Gtype -> O -0.823321
104 +Substrain -> O -0.979191
105 +Med -> Supp -2.040767
106 +
107 +
108 +Top positive:
109 +8.498661 Air b'word:Aerobic'
110 +7.453902 O b'-1:lemma:ChIP-exo'
111 +6.772658 Anti b'-2:lemma:antibody'
112 +6.165081 Air b'lemma:anaerobic'
113 +6.117950 O b'-2:lemma:flagtag'
114 +5.590845 O b'-2:lemma:_'
115 +5.177165 Gtype b'lemma:wild-type'
116 +4.971807 O b'word:Cra'
117 +4.836191 Technique b'word:ChIP-Seq'
118 +4.497459 O b'+2:lemma:\xc2\xb0c'
119 +4.382845 Air b'word:Anaerobic'
120 +4.352125 Supp b'-1:word:Cra'
121 +4.336687 Technique b'lemma:rna-seq'
122 +4.283630 Technique b'lemma:ChIP-exo'
123 +4.269702 Supp b'lemma:nh4cl'
124 +4.218273 Gtype b'lemma:type'
125 +4.218273 Gtype b'word:type'
126 +3.961606 Phase b'-2:lemma:phase'
127 +3.949218 Gtype b'-2:lemma:affyexp'
128 +3.771576 O b'postag:IN'
129 +3.727619 Technique b'word:ChIPSeq'
130 +3.635085 Air b'postag:RB'
131 +3.622942 Gtype b'-2:lemma:genotype/variation'
132 +3.587121 O b'-2:lemma:medium'
133 +3.544455 O b'lemma:_'
134 +3.544455 O b'word:_'
135 +3.459688 Med b'lemma:MOPS'
136 +3.459688 Med b'word:MOPS'
137 +3.426079 Gtype b'-2:lemma:delta'
138 +3.413198 O b'lemma:2'
139 +3.413198 O b'word:2'
140 +3.403759 O b'lemma:3'
141 +3.403759 O b'word:3'
142 +3.349742 Technique b'word:ChIP-exo'
143 +3.309028 Gtype b'word:WT'
144 +3.276517 O b'lemma:1'
145 +3.276517 O b'word:1'
146 +3.197253 Supp b'lemma:arginine'
147 +3.055830 Supp b'lemma:pq'
148 +3.055830 Supp b'word:PQ'
149 +3.028461 O b'lemma:.'
150 +3.028461 O b'postag:.'
151 +3.028461 O b'word:.'
152 +3.006895 O b'postag:CC'
153 +3.001330 Anti b'+2:lemma:antibody'
154 +2.880709 Gtype b'-2:lemma:genotype'
155 +2.876573 Gversion b'-2:lemma:nc'
156 +2.875941 O b'lemma:-'
157 +2.875941 O b'word:-'
158 +2.850665 Phase b'lemma:mid-log'
159 +2.850665 Phase b'word:mid-log'
160 +2.801983 O b'-1:word:Aerobic'
161 +2.799528 Supp b'lemma:Iron'
162 +2.799528 Supp b'word:Iron'
163 +2.799528 Supp b'+1:word:Deficient'
164 +2.799528 Supp b'-2:lemma:Anaerobic'
165 +2.786563 Supp b'+2:lemma:iptg'
166 +2.718821 O b'+1:word:ChIP-Seq'
167 +2.713296 O b'lemma:chip'
168 +2.703351 Strain b'+1:lemma:substr'
169 +2.703351 Strain b'+1:word:substr'
170 +2.703351 Strain b'-2:lemma:str'
171 +2.679277 O b'postag:VBN'
172 +2.614364 O b'-2:lemma:~'
173 +2.597408 O b'lemma:rpob'
174 +2.597408 O b'word:RpoB'
175 +2.536698 Gtype b'-1:lemma:\xe2\x88\x86'
176 +2.536698 Gtype b'-1:word:\xe2\x88\x86'
177 +2.524686 Substrain b'-2:lemma:substr'
178 +2.524477 O b'lemma:b'
179 +2.524477 O b'word:B'
180 +2.516755 Gtype b'-2:postag:DT'
181 +2.488117 Gtype b'lemma:\xce\xb4cra'
182 +2.483993 Gtype b'lemma:wt'
183 +2.482868 Gtype b'word:\xce\x94cra'
184 +2.435143 O b'word:A'
185 +2.415059 O b'lemma:a'
186 +2.412868 O b'postag::'
187 +2.406725 Supp b'-2:lemma:media'
188 +2.390251 Gtype b'+1:lemma:type'
189 +2.390251 Gtype b'+1:word:type'
190 +2.339888 O b'+1:postag:RB'
191 +2.333432 Supp b'lemma:no3'
192 +2.333432 Supp b'word:NO3'
193 +2.317239 pH b'+1:postag:CD'
194 +2.276706 O b'+2:lemma:70'
195 +2.257460 Med b'+2:postag:CC'
196 +2.243390 O b'+2:postag:JJ'
197 +2.197419 Gtype b'lemma:\xe2\x88\x86'
198 +2.197419 Gtype b'word:\xe2\x88\x86'
199 +2.180922 Supp b'-1:postag:CC'
200 +2.172831 Gtype b'lemma:\xce\xb4fur'
201 +2.172831 Gtype b'word:\xce\x94fur'
202 +2.143238 Supp b'+1:lemma:\xc2\xb5m'
203 +2.143238 Supp b'+1:word:\xc2\xb5M'
204 +2.142465 Supp b'lemma:nacl'
205 +2.142465 Supp b'word:NaCl'
206 +2.120502 Supp b'-1:lemma:with'
207 +2.120502 Supp b'-1:word:with'
208 +2.074609 O b'+2:lemma:fructose'
209 +2.072246 Technique b'lemma:rnaseq'
210 +2.072246 Technique b'word:RNASeq'
211 +2.017366 O b'+2:lemma:cra'
212 +1.976126 O b'+1:postag:NNP'
213 +1.970655 Supp b'-2:lemma:condition'
214 +1.952514 Phase b'-2:lemma:until'
215 +1.949624 Supp b'lemma:nitrate'
216 +1.949624 Supp b'word:nitrate'
217 +1.946689 O b'-1:word:tag'
218 +1.943850 Substrain b'lemma:mg1655'
219 +1.943850 Substrain b'word:MG1655'
220 +1.927111 Gtype b'lemma:\xce\xb4soxr'
221 +1.927111 Gtype b'word:\xce\x94soxR'
222 +1.921168 O b'-1:lemma:media'
223 +1.921168 O b'-1:word:media'
224 +1.878986 Supp b'lemma:acetate'
225 +1.878986 Supp b'word:acetate'
226 +1.874636 Supp b'lemma:glucose'
227 +1.874636 Supp b'word:glucose'
228 +1.872148 O b'lemma:culture'
229 +1.839801 Gtype b'lemma:pk4854'
230 +1.839801 Gtype b'word:PK4854'
231 +1.832298 Gtype b'lemma:flag-tag'
232 +1.832298 Gtype b'-1:lemma:c-terminal'
233 +1.832298 Gtype b'word:Flag-tag'
234 +1.832298 Gtype b'-1:word:C-terminal'
235 +1.820296 O b'lemma:harbor'
236 +1.820296 O b'word:harboring'
237 +1.815309 O b'-1:lemma:tag'
238 +1.807546 O b'lemma:with'
239 +1.807546 O b'word:with'
240 +1.777512 Gversion b'lemma:chip-seq'
241 +1.769268 O b'isLower'
242 +1.765598 O b'-2:lemma:min'
243 +1.763690 Gversion b'-2:lemma:build'
244 +1.761248 Gtype b'+2:lemma:glucose'
245 +1.755584 O b'postag:VBD'
246 +1.743507 O b'lemma:Custom'
247 +1.743507 O b'word:Custom'
248 +1.740985 Med b'+2:lemma:b2'
249 +1.731020 Agit b'+2:lemma:at'
250 +1.725553 O b'+1:lemma:arca-8myc'
251 +1.725553 O b'+1:word:ArcA-8myc'
252 +1.720146 O b'lemma::'
253 +1.720146 O b'word::'
254 +1.712129 Gversion b'lemma:nc'
255 +1.712129 Gversion b'word:NC'
256 +1.707341 O b'-1:lemma:anaerobic'
257 +1.686115 O b'+1:lemma:pq'
258 +1.686115 O b'+1:word:PQ'
259 +1.678834 O b'lemma:ompr'
260 +1.678834 O b'word:OmpR'
261 +1.675572 Gtype b'-2:postag::'
262 +1.672750 Med b'lemma:lb'
263 +1.672750 Med b'word:LB'
264 +1.671736 Gtype b'+1:lemma:ph5'
265 +1.671736 Gtype b'+1:word:pH5'
266 +1.671736 Gtype b'+2:lemma:.5'
267 +1.670759 Air b'lemma:aerobically'
268 +1.670759 Air b'word:aerobically'
269 +1.647866 Temp b'-2:lemma:\xcf\x8332'
270 +1.640244 Supp b'lemma:rifampicin'
271 +1.640244 Supp b'word:rifampicin'
272 +1.626253 Gversion b'word:ChIP-Seq'
273 +1.618940 O b'-2:lemma:myc'
274 +1.612483 Temp b'+2:postag:DT'
275 +1.611153 Technique b'lemma:chipseq'
276 +1.599912 Supp b'-2:lemma:agent'
277 +1.592000 Temp b'isNumber'
278 +1.587160 Agit b'lemma:rpm'
279 +1.587160 Agit b'word:rpm'
280 +1.581472 O b'-2:lemma:with'
281 +1.569842 Temp b'-1:lemma:\xcf\x8332'
282 +1.569842 Temp b'-1:word:\xcf\x8332'
283 +1.563059 Gversion b'-2:postag:VB'
284 +1.527295 O b'postag:DT'
285 +1.515816 O b'-2:lemma:\xe2\x88\x86'
286 +1.507350 Vess b'lemma:flask'
287 +1.507350 Vess b'-1:lemma:warm'
288 +1.507350 Vess b'word:flask'
289 +1.507350 Vess b'-1:word:warmed'
290 +1.507350 Vess b'-2:lemma:pre'
291 +1.507350 Vess b'+2:lemma:43'
292 +1.506594 Gtype b'lemma:nsrr'
293 +1.506594 Gtype b'word:NsrR'
294 +1.504503 Gtype b'lemma:\xce\xb4ompr'
295 +1.504503 Gtype b'word:\xce\x94ompR'
296 +1.503447 O b'+2:lemma:polyclonal'
297 +1.495379 O b'-1:lemma:lb'
298 +1.495379 O b'-1:word:LB'
299 +1.491679 Gtype b'-1:postag:VBG'
300 +1.487841 Med b'isUpper'
301 +1.483957 Gtype b'lemma:dfnr'
302 +1.483957 Gtype b'word:dFNR'
303 +1.474477 Technique b'+2:lemma:ph5'
304 +1.473390 Gversion b'+2:lemma:000913'
305 +1.470703 O b'+1:lemma:mid-log'
306 +1.470703 O b'+1:word:mid-log'
307 +1.470599 Med b'+2:lemma:+'
308 +1.469928 Supp b'-2:lemma:for'
309 +
310 +
311 +Top negative:
312 +-0.126187 Supp b'-2:lemma:.'
313 +-0.126187 Supp b'-2:postag:.'
314 +-0.127621 Med b'+1:postag:IN'
315 +-0.130732 O b'-2:lemma:dpd'
316 +-0.132134 Technique b'postag:NN'
317 +-0.132995 Air b'-2:postag:RB'
318 +-0.133944 O b'-2:lemma:mm'
319 +-0.135455 O b'-2:lemma:pahse'
320 +-0.136661 O b'lemma:37'
321 +-0.136661 O b'word:37'
322 +-0.140067 OD b'+2:postag:NN'
323 +-0.140101 Supp b'+2:lemma:.'
324 +-0.140101 Supp b'+2:postag:.'
325 +-0.140302 O b'-2:lemma:-lrb-'
326 +-0.141434 Supp b'-1:postag:-LRB-'
327 +-0.141915 Air b'+1:postag:JJ'
328 +-0.144090 O b'-1:lemma:fresh'
329 +-0.144090 O b'-1:word:fresh'
330 +-0.153079 Supp b'+2:postag:NNP'
331 +-0.166309 Supp b'+1:postag:VBN'
332 +-0.166863 O b'+1:postag:-LRB-'
333 +-0.175325 Phase b'-2:postag:NN'
334 +-0.178557 O b'+1:lemma:mm'
335 +-0.178557 O b'+1:word:mM'
336 +-0.179047 Supp b'lemma:10'
337 +-0.179047 Supp b'word:10'
338 +-0.181748 O b'-2:lemma:minimal'
339 +-0.181863 O b'-1:word:the'
340 +-0.183178 O b'-1:lemma:of'
341 +-0.183178 O b'-1:word:of'
342 +-0.189370 Air b'+2:postag:CC'
343 +-0.193112 O b'lemma:wt'
344 +-0.194128 O b'-1:lemma:the'
345 +-0.194149 O b'-1:lemma:at'
346 +-0.202859 Temp b'isLower'
347 +-0.206499 O b'+2:postag:RB'
348 +-0.211728 O b'-2:lemma:media'
349 +-0.217752 Supp b'-2:lemma:treat'
350 +-0.226935 Med b'+1:postag:NN'
351 +-0.228587 Phase b'+1:postag:NN'
352 +-0.230504 O b'-1:postag:DT'
353 +-0.231712 Temp b'-2:postag:NN'
354 +-0.235534 Air b'-2:postag:CC'
355 +-0.237756 Air b'-2:postag:-LRB-'
356 +-0.239368 O b'-2:postag:-LRB-'
357 +-0.243864 O b'+1:lemma:g/l'
358 +-0.243864 O b'+1:word:g/L'
359 +-0.244939 O b'lemma:aerobically'
360 +-0.244939 O b'word:aerobically'
361 +-0.253096 O b'-2:lemma:fresh'
362 +-0.263628 O b'-1:postag:IN'
363 +-0.268765 Supp b'+1:lemma:-lrb-'
364 +-0.268765 Supp b'+1:word:-LRB-'
365 +-0.269581 OD b'isUpper'
366 +-0.271938 O b'+1:lemma:supplement'
367 +-0.271938 O b'+1:word:supplemented'
368 +-0.279427 Anti b'+2:postag:JJ'
369 +-0.282509 Air b'-2:lemma:-lrb-'
370 +-0.282587 Supp b'+1:lemma:,'
371 +-0.282587 Supp b'+1:postag:,'
372 +-0.282587 Supp b'+1:word:,'
373 +-0.290826 Supp b'+1:postag:-LRB-'
374 +-0.298496 O b'-2:lemma:supplement'
375 +-0.301952 O b'-2:lemma:at'
376 +-0.302829 O b'+2:lemma:add'
377 +-0.310606 O b'+1:lemma:.'
378 +-0.310606 O b'+1:postag:.'
379 +-0.310606 O b'+1:word:.'
380 +-0.313003 O b'-1:lemma:co2'
381 +-0.313003 O b'-1:word:CO2'
382 +-0.317690 O b'-1:lemma:dissolve'
383 +-0.317690 O b'+1:lemma:methanol'
384 +-0.317690 O b'-1:word:dissolved'
385 +-0.317690 O b'+1:word:methanol'
386 +-0.326174 O b'-1:lemma:minimal'
387 +-0.326174 O b'-1:word:minimal'
388 +-0.326216 O b'-1:lemma:IP'
389 +-0.326216 O b'-1:word:IP'
390 +-0.326756 Med b'-1:postag:NN'
391 +-0.330968 O b'-1:lemma:2'
392 +-0.330968 O b'-1:word:2'
393 +-0.331123 Supp b'isNumber'
394 +-0.331144 O b'+2:lemma:fnr'
395 +-0.342326 Med b'+2:postag:VBN'
396 +-0.348597 O b'-2:lemma:glucose'
397 +-0.349154 O b'-2:lemma:until'
398 +-0.353909 O b'+1:lemma:1m'
399 +-0.353909 O b'+1:word:1M'
400 +-0.353909 O b'-2:lemma:vol'
401 +-0.354844 O b'lemma:media'
402 +-0.354844 O b'word:media'
403 +-0.364311 O b'+2:lemma:a'
404 +-0.368051 O b'lemma:nitrate'
405 +-0.368051 O b'word:nitrate'
406 +-0.369958 Air b'-2:lemma:and'
407 +-0.370055 O b'-2:lemma:aerobically'
408 +-0.371442 O b'-1:lemma:mm'
409 +-0.371442 O b'-1:word:mM'
410 +-0.377685 O b'+2:lemma:10'
411 +-0.378127 Supp b'postag:CC'
412 +-0.381117 O b'+2:lemma:at'
413 +-0.389688 pH b'isLower'
414 +-0.391439 O b'+2:lemma:-rrb-'
415 +-0.401482 O b'-2:lemma:anaerobically'
416 +-0.403860 Air b'-1:postag:RB'
417 +-0.405233 O b'lemma:2h'
418 +-0.405233 O b'-1:lemma:additional'
419 +-0.405233 O b'word:2h'
420 +-0.405233 O b'-1:word:additional'
421 +-0.407301 O b'-1:lemma:grow'
422 +-0.410353 O b'lemma:minimal'
423 +-0.410353 O b'word:minimal'
424 +-0.415960 O b'lemma:anaerobically'
425 +-0.415960 O b'word:anaerobically'
426 +-0.431864 O b'+2:lemma:rifampicin'
427 +-0.435994 Gtype b'+2:lemma:cra'
428 +-0.448208 O b'+2:lemma:.'
429 +-0.448208 O b'+2:postag:.'
430 +-0.457862 O b'-1:lemma:ph'
431 +-0.457862 O b'-1:word:pH'
432 +-0.462522 O b'lemma:mid-log'
433 +-0.462522 O b'word:mid-log'
434 +-0.464717 O b'-1:postag::'
435 +-0.478899 Gtype b'postag:VBG'
436 +-0.480305 O b'+2:postag:-RRB-'
437 +-0.486380 Supp b'-1:postag:NNP'
438 +-0.487200 pH b'postag:NN'
439 +-0.487808 O b'+2:lemma:+'
440 +-0.495639 Air b'-1:postag:JJ'
441 +-0.498421 Phase b'isUpper'
442 +-0.501538 O b'+1:lemma:until'
443 +-0.501538 O b'+1:word:until'
444 +-0.508531 O b'-1:lemma:nsrr'
445 +-0.508531 O b'-1:word:NsrR'
446 +-0.515487 O b'-2:lemma:phase'
447 +-0.515810 O b'-1:lemma:30'
448 +-0.515810 O b'-1:word:30'
449 +-0.523969 Med b'-2:postag:VBN'
450 +-0.536049 Technique b'isNumber'
451 +-0.539654 O b'lemma:of'
452 +-0.539654 O b'word:of'
453 +-0.555532 Supp b'-2:postag:JJ'
454 +-0.605271 O b'postag:VBP'
455 +-0.607462 O b'-1:lemma:1'
456 +-0.607462 O b'-1:word:1'
457 +-0.610401 O b'lemma:0.3'
458 +-0.610401 O b'word:0.3'
459 +-0.654660 O b'+1:lemma:in'
460 +-0.654660 O b'+1:word:in'
461 +-0.674407 Anti b'isUpper'
462 +-0.680937 Air b'postag:NN'
463 +-0.683120 O b'+1:postag:IN'
464 +-0.694831 O b'-2:lemma::'
465 +-0.711579 O b'+2:lemma:mid-log'
466 +-0.717061 O b'postag:RB'
467 +-0.727172 O b'+1:lemma:2.0'
468 +-0.727172 O b'+1:word:2.0'
469 +-0.727991 O b'+1:lemma:at'
470 +-0.727991 O b'+1:word:at'
471 +-0.750617 Gtype b'isNumber'
472 +-0.754171 O b'-1:lemma:vol'
473 +-0.754171 O b'-1:word:vol'
474 +-0.754171 O b'-2:lemma:1/100'
475 +-0.754171 O b'+2:lemma:1m'
476 +-0.769142 Gversion b'isLower'
477 +-0.799722 O b'lemma:rifampicin'
478 +-0.799722 O b'word:rifampicin'
479 +-0.813037 Gtype b'-2:lemma:\xe2\x88\x86'
480 +-0.818783 O b'lemma:30'
481 +-0.818783 O b'word:30'
482 +-0.832669 Technique b'isLower'
483 +-0.884252 O b'+1:postag:VBG'
484 +-0.887424 O b'-2:postag:DT'
485 +-0.937669 O b'-2:lemma:0.3'
486 +-0.940717 Supp b'+2:lemma:fructose'
487 +-0.972116 Supp b'+2:postag:CD'
488 +-0.978709 Gtype b'isLower'
489 +-1.016999 O b'-2:lemma:rifampicin'
490 +-1.111059 Agit b'isUpper'
491 +-1.130478 O b'-2:postag:RB'
492 +-1.171981 O b'+2:lemma:then'
493 +-1.242037 Phase b'postag:JJ'
494 +-1.330863 O b'+1:lemma:1'
495 +-1.330863 O b'+1:word:1'
496 +-1.365191 Temp b'postag:NN'
497 +-1.474036 Supp b'postag:JJ'
498 +-1.619405 Phase b'-1:postag:JJ'
499 +-1.653492 Supp b'+2:lemma:1'
500 +-1.660082 O b'+1:lemma:2'
501 +-1.660082 O b'+1:word:2'
502 +-1.959474 O b'-1:postag:VBG'
503 +-2.021801 Supp b'+2:lemma:2'
504 +-2.109223 Med b'-2:lemma:grow'
505 +-2.312172 OD b'+1:postag:NN'
506 +-2.414666 O b'-1:lemma::'
507 +-2.414666 O b'-1:word::'
508 +-2.754541 O b'-1:lemma:_'
509 +-2.754541 O b'-1:word:_'
510 +-3.657725 OD b'+2:lemma:aerobically'
511 +-4.070887 Anti b'postag:NNP'
512 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.03780171336875179, 'c2': 0.012718090480016972}
5 +best CV score:0.8741870589668248
6 +model size: 0.16M
7 +
8 +Flat F1: 0.764435455440298
9 + precision recall f1-score support
10 +
11 + OD 0.818 0.818 0.818 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 0.955 0.913 0.933 23
14 + Med 1.000 0.925 0.961 53
15 + Temp 1.000 0.759 0.863 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.882 1.000 0.938 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.869 0.859 0.864 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.593 0.806 0.684 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.769 0.778 0.764 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 5.633437
32 +Agit -> Agit 5.242920
33 +Med -> Med 5.205888
34 +OD -> OD 4.820634
35 +Supp -> Supp 4.795672
36 +Anti -> Anti 4.563286
37 +Gversion -> Gversion 4.480777
38 +Gtype -> Gtype 4.410238
39 +O -> O 4.309533
40 +Phase -> Phase 4.099270
41 +Air -> Air 3.591014
42 +Technique -> Technique 3.585887
43 +pH -> pH 2.997587
44 +Substrain -> Gtype 1.829751
45 +O -> Technique 0.949969
46 +Gtype -> Supp 0.738864
47 +O -> Gtype 0.585802
48 +Gtype -> Air 0.391269
49 +Gtype -> pH 0.344184
50 +Technique -> Air 0.264778
51 +O -> Supp 0.191022
52 +Air -> O 0.116016
53 +Temp -> O 0.097547
54 +Med -> O 0.057304
55 +O -> Anti 0.017577
56 +pH -> Supp -0.028693
57 +O -> Phase -0.048549
58 +Technique -> OD -0.055283
59 +Anti -> Med -0.056104
60 +Supp -> O -0.109106
61 +Air -> Temp -0.113829
62 +OD -> Supp -0.116904
63 +Gversion -> Supp -0.118460
64 +Technique -> Supp -0.137571
65 +Air -> OD -0.151166
66 +Agit -> O -0.182410
67 +Air -> Gtype -0.230985
68 +Supp -> Gtype -0.235813
69 +Med -> Air -0.245332
70 +Phase -> O -0.254973
71 +Supp -> Phase -0.254988
72 +Phase -> Air -0.262541
73 +OD -> O -0.278938
74 +Anti -> O -0.285405
75 +Air -> Phase -0.291613
76 +Gtype -> Technique -0.321912
77 +Anti -> Supp -0.329510
78 +O -> OD -0.360061
79 +Gtype -> Anti -0.380808
80 +Gtype -> Med -0.399195
81 +
82 +
83 +Top unlikely transitions:
84 +Gtype -> pH 0.344184
85 +Technique -> Air 0.264778
86 +O -> Supp 0.191022
87 +Air -> O 0.116016
88 +Temp -> O 0.097547
89 +Med -> O 0.057304
90 +O -> Anti 0.017577
91 +pH -> Supp -0.028693
92 +O -> Phase -0.048549
93 +Technique -> OD -0.055283
94 +Anti -> Med -0.056104
95 +Supp -> O -0.109106
96 +Air -> Temp -0.113829
97 +OD -> Supp -0.116904
98 +Gversion -> Supp -0.118460
99 +Technique -> Supp -0.137571
100 +Air -> OD -0.151166
101 +Agit -> O -0.182410
102 +Air -> Gtype -0.230985
103 +Supp -> Gtype -0.235813
104 +Med -> Air -0.245332
105 +Phase -> O -0.254973
106 +Supp -> Phase -0.254988
107 +Phase -> Air -0.262541
108 +OD -> O -0.278938
109 +Anti -> O -0.285405
110 +Air -> Phase -0.291613
111 +Gtype -> Technique -0.321912
112 +Anti -> Supp -0.329510
113 +O -> OD -0.360061
114 +Gtype -> Anti -0.380808
115 +Gtype -> Med -0.399195
116 +Supp -> Air -0.399750
117 +O -> Med -0.419285
118 +Phase -> OD -0.436501
119 +Air -> Agit -0.455472
120 +Technique -> O -0.530788
121 +Temp -> Med -0.544192
122 +Technique -> pH -0.577493
123 +Supp -> Med -0.646950
124 +OD -> Air -0.730559
125 +Phase -> Supp -0.748627
126 +Air -> Med -0.810512
127 +Gtype -> O -0.913442
128 +Air -> Supp -0.986614
129 +Agit -> Air -1.033744
130 +O -> Air -1.071275
131 +Substrain -> O -1.325541
132 +Technique -> Gtype -1.554985
133 +Med -> Supp -2.340793
134 +
135 +
136 +Top positive:
137 +5.181623 Air b'word:Aerobic'
138 +5.069692 O b'-2:lemma:_'
139 +4.702830 Anti b'-2:lemma:antibody'
140 +4.290692 Air b'lemma:anaerobic'
141 +4.139968 Gtype b'-2:lemma:genotype/variation'
142 +4.052057 O b'word:Cra'
143 +3.610352 Technique b'word:ChIP-Seq'
144 +3.589676 O b'lemma:_'
145 +3.589676 O b'word:_'
146 +3.543264 O b'lemma:1'
147 +3.543264 O b'word:1'
148 +3.538307 O b'lemma:2'
149 +3.538307 O b'word:2'
150 +3.447474 Gtype b'-2:lemma:genotype'
151 +3.421203 Air b'postag:RB'
152 +3.390076 Phase b'-2:lemma:phase'
153 +3.349265 Supp b'lemma:pq'
154 +3.349265 Supp b'word:PQ'
155 +3.332208 O b'-2:lemma:medium'
156 +3.230628 O b'-1:lemma:ChIP-exo'
157 +3.167256 Technique b'lemma:rna-seq'
158 +3.159409 O b'-2:lemma:flagtag'
159 +3.114586 Technique b'word:ChIP-exo'
160 +3.101194 Technique b'lemma:ChIP-exo'
161 +2.986312 Supp b'lemma:nh4cl'
162 +2.980962 Technique b'word:ChIPSeq'
163 +2.961365 Gtype b'lemma:type'
164 +2.961365 Gtype b'word:type'
165 +2.960004 Air b'word:Anaerobic'
166 +2.947966 Gtype b'word:WT'
167 +2.932783 O b'+2:lemma:\xc2\xb0c'
168 +2.920653 Supp b'+2:lemma:iptg'
169 +2.872474 O b'lemma:.'
170 +2.872474 O b'postag:.'
171 +2.872474 O b'word:.'
172 +2.867743 Gtype b'lemma:wild-type'
173 +2.834804 Supp b'-1:word:Cra'
174 +2.831538 O b'lemma:-'
175 +2.831538 O b'word:-'
176 +2.798161 O b'lemma:3'
177 +2.798161 O b'word:3'
178 +2.798112 Gtype b'-2:lemma:affyexp'
179 +2.692314 O b'lemma:rpob'
180 +2.692314 O b'word:RpoB'
181 +2.675098 O b'postag::'
182 +2.664980 Gtype b'lemma:wt'
183 +2.604579 Gtype b'lemma:\xce\xb4cra'
184 +2.592394 O b'postag:VBN'
185 +2.550258 Supp b'lemma:no3'
186 +2.550258 Supp b'word:NO3'
187 +2.533320 Gtype b'word:\xce\x94cra'
188 +2.500008 Technique b'lemma:chipseq'
189 +2.463493 Med b'lemma:MOPS'
190 +2.463493 Med b'word:MOPS'
191 +2.459381 O b'+2:lemma:70'
192 +2.452341 Supp b'lemma:Iron'
193 +2.452341 Supp b'word:Iron'
194 +2.452341 Supp b'+1:word:Deficient'
195 +2.452341 Supp b'-2:lemma:Anaerobic'
196 +2.449771 Med b'+2:postag:CC'
197 +2.435165 Phase b'+2:lemma:o.d.'
198 +2.430391 O b'-1:lemma:tag'
199 +2.425850 Phase b'lemma:mid-log'
200 +2.425850 Phase b'word:mid-log'
201 +2.407993 O b'postag:IN'
202 +2.398217 Phase b'lemma:exponential'
203 +2.398217 Phase b'word:exponential'
204 +2.398217 Phase b'lemma:stationary'
205 +2.398217 Phase b'word:stationary'
206 +2.392837 Supp b'lemma:acetate'
207 +2.392837 Supp b'word:acetate'
208 +2.385444 Gtype b'+1:lemma:type'
209 +2.385444 Gtype b'+1:word:type'
210 +2.380980 Anti b'+2:lemma:antibody'
211 +2.369810 Supp b'-2:lemma:agent'
212 +2.356829 O b'word:A'
213 +2.351468 Med b'+2:lemma:b2'
214 +2.300790 Supp b'lemma:arginine'
215 +2.298306 Supp b'lemma:nacl'
216 +2.298306 Supp b'word:NaCl'
217 +2.295477 O b'+1:postag:NNP'
218 +2.243176 O b'-1:word:Aerobic'
219 +2.239344 Air b'lemma:Aerobic'
220 +2.178927 O b'lemma:b'
221 +2.178927 O b'word:B'
222 +2.167680 Gtype b'lemma:\xe2\x88\x86'
223 +2.167680 Gtype b'word:\xe2\x88\x86'
224 +2.163673 Supp b'lemma:glucose'
225 +2.163673 Supp b'word:glucose'
226 +2.149402 Technique b'+2:lemma:ph5'
227 +2.131320 O b'lemma:with'
228 +2.131320 O b'word:with'
229 +2.107004 Substrain b'lemma:mg1655'
230 +2.107004 Substrain b'word:MG1655'
231 +2.093423 O b'+2:lemma:fructose'
232 +2.092930 Supp b'-1:lemma:with'
233 +2.092930 Supp b'-1:word:with'
234 +2.072607 Supp b'-1:lemma:Cra'
235 +2.061502 O b'+1:word:ChIP-Seq'
236 +2.048739 O b'lemma:ompr'
237 +2.048739 O b'word:OmpR'
238 +2.041804 O b'lemma:culture'
239 +2.035926 Gtype b'-2:postag:DT'
240 +2.033981 Substrain b'-2:lemma:substr'
241 +2.015820 Gtype b'lemma:\xce\xb4soxr'
242 +2.015820 Gtype b'word:\xce\x94soxR'
243 +2.002657 Gtype b'lemma:flag-tag'
244 +2.002657 Gtype b'-1:lemma:c-terminal'
245 +2.002657 Gtype b'word:Flag-tag'
246 +2.002657 Gtype b'-1:word:C-terminal'
247 +1.981109 Supp b'+1:lemma:\xc2\xb5m'
248 +1.981109 Supp b'+1:word:\xc2\xb5M'
249 +1.977275 O b'+2:lemma:cra'
250 +1.976163 Strain b'+1:lemma:substr'
251 +1.976163 Strain b'+1:word:substr'
252 +1.976163 Strain b'-2:lemma:str'
253 +1.966819 Technique b'lemma:rnaseq'
254 +1.966819 Technique b'word:RNASeq'
255 +1.966131 O b'-2:lemma:myc'
256 +1.956221 O b'lemma:harbor'
257 +1.956221 O b'word:harboring'
258 +1.947790 Gtype b'-1:lemma:\xe2\x88\x86'
259 +1.947790 Gtype b'-1:word:\xe2\x88\x86'
260 +1.943715 O b'-1:lemma:lb'
261 +1.943715 O b'-1:word:LB'
262 +1.942277 O b'lemma:a'
263 +1.929064 Gversion b'lemma:chip-seq'
264 +1.918408 Technique b'word:RNA-Seq'
265 +1.915726 pH b'+1:postag:CD'
266 +1.882795 O b'+1:lemma:arca-8myc'
267 +1.882795 O b'+1:word:ArcA-8myc'
268 +1.881377 O b'-2:lemma:fructose'
269 +1.853522 O b'+1:postag:RB'
270 +1.851023 Supp b'postag:VBP'
271 +1.845767 Supp b'-2:lemma:induce'
272 +1.833461 Gtype b'lemma:\xce\xb4fur'
273 +1.833461 Gtype b'word:\xce\x94fur'
274 +1.825330 Gversion b'word:ChIP-Seq'
275 +1.815756 O b'-1:lemma:glucose'
276 +1.815756 O b'-1:word:glucose'
277 +1.815639 Gtype b'+1:lemma:with'
278 +1.815639 Gtype b'+1:word:with'
279 +1.809036 Gtype b'-2:lemma:delta'
280 +1.806217 Technique b'-1:lemma:chip-exo'
281 +1.804393 Temp b'isNumber'
282 +1.797896 O b'-1:word:tag'
283 +1.786674 Supp b'-2:lemma:purr'
284 +1.783032 Supp b'-2:lemma:argr'
285 +1.765681 O b'+2:postag:JJ'
286 +1.765181 Supp b'-1:postag:CC'
287 +1.753024 Air b'word:anaerobic'
288 +1.751122 Gtype b'-1:postag:VBG'
289 +1.742490 Supp b'-2:lemma:media'
290 +1.737277 Med b'+2:lemma:b1'
291 +1.734728 O b'+2:lemma:_'
292 +1.710506 Gtype b'+2:lemma:glucose'
293 +1.709022 Supp b'lemma:Leu'
294 +1.709022 Supp b'word:Leu'
295 +1.709022 Supp b'-2:lemma:Lrp'
296 +1.707829 Supp b'-2:lemma:condition'
297 +1.695253 Gtype b'lemma:\xce\xb4ompr'
298 +1.695253 Gtype b'word:\xce\x94ompR'
299 +1.687283 Med b'+1:lemma:0.4'
300 +1.687283 Med b'+1:word:0.4'
301 +1.680612 Air b'+1:postag:IN'
302 +1.676466 O b'lemma:soxs'
303 +1.676466 O b'word:SoxS'
304 +1.676466 O b'lemma:soxr'
305 +1.676466 O b'word:SoxR'
306 +1.666118 O b'lemma:Cra'
307 +1.639338 O b'-1:lemma:anaerobic'
308 +1.636477 O b'isLower'
309 +1.632852 Med b'lemma:media'
310 +1.632852 Med b'word:media'
311 +1.629462 O b'-2:lemma:treat'
312 +1.626732 Gtype b'lemma:dfnr'
313 +1.626732 Gtype b'word:dFNR'
314 +1.623468 O b'lemma:Custom'
315 +1.623468 O b'word:Custom'
316 +1.621644 O b'postag:CC'
317 +1.618806 Gtype b'lemma:\xce\xb4oxyr'
318 +1.618806 Gtype b'word:\xce\x94oxyR'
319 +1.618168 Med b'lemma:lb'
320 +1.618168 Med b'word:LB'
321 +1.618066 O b'-1:lemma:media'
322 +1.618066 O b'-1:word:media'
323 +1.611062 Gtype b'postag:JJ'
324 +1.608968 O b'lemma:argr'
325 +1.608968 O b'word:ArgR'
326 +1.603897 Gversion b'-2:lemma:nc'
327 +1.594090 O b'lemma:trpr'
328 +1.594090 O b'word:TrpR'
329 +1.583791 Air b'lemma:aerobic'
330 +1.567884 O b'+1:postag:VBP'
331 +1.567340 O b'-1:lemma:0.3'
332 +1.567340 O b'-1:word:0.3'
333 +1.561344 O b'lemma::'
334 +1.561344 O b'word::'
335 +1.560411 O b'lemma:rep2'
336 +1.560411 O b'word:rep2'
337 +
338 +
339 +Top negative:
340 +-0.317190 OD b'+2:postag:NN'
341 +-0.317236 O b'-2:postag::'
342 +-0.319090 O b'+1:lemma:2.0'
343 +-0.319090 O b'+1:word:2.0'
344 +-0.319182 O b'+2:lemma:30'
345 +-0.325633 O b'lemma:nh4cl'
346 +-0.326977 Temp b'+1:postag:IN'
347 +-0.328963 O b'lemma:methanol'
348 +-0.328963 O b'word:methanol'
349 +-0.328963 O b'-2:lemma:dissolve'
350 +-0.330771 O b'-1:lemma:rpob'
351 +-0.330771 O b'-1:word:RpoB'
352 +-0.332385 Supp b'+2:lemma:acetate'
353 +-0.336346 O b'+2:lemma:reference'
354 +-0.340150 Strain b'isLower'
355 +-0.351888 Phase b'+2:postag:NN'
356 +-0.354760 O b'-1:lemma:ph'
357 +-0.354760 O b'-1:word:pH'
358 +-0.356359 O b'word:tag'
359 +-0.356948 O b'-1:lemma:dissolve'
360 +-0.356948 O b'+1:lemma:methanol'
361 +-0.356948 O b'-1:word:dissolved'
362 +-0.356948 O b'+1:word:methanol'
363 +-0.360165 O b'lemma:aerobic'
364 +-0.361875 O b'-1:lemma:2'
365 +-0.361875 O b'-1:word:2'
366 +-0.364393 O b'lemma:medium'
367 +-0.364393 O b'word:medium'
368 +-0.364434 O b'lemma:anaerobic'
369 +-0.365818 O b'-1:lemma:co2'
370 +-0.365818 O b'-1:word:CO2'
371 +-0.372268 O b'-1:lemma:\xe2\x88\x86'
372 +-0.372268 O b'-1:word:\xe2\x88\x86'
373 +-0.380490 Temp b'isLower'
374 +-0.386775 O b'+1:lemma:1m'
375 +-0.386775 O b'+1:word:1M'
376 +-0.386775 O b'-2:lemma:vol'
377 +-0.390297 Supp b'-2:lemma:.'
378 +-0.390297 Supp b'-2:postag:.'
379 +-0.405236 O b'+2:lemma:fnr'
380 +-0.408221 O b'+2:lemma:mid-log'
381 +-0.413792 O b'lemma:fructose'
382 +-0.413792 O b'word:fructose'
383 +-0.413863 Temp b'-2:postag:NN'
384 +-0.414885 O b'-1:postag::'
385 +-0.422156 O b'+1:lemma:+'
386 +-0.422156 O b'+1:word:+'
387 +-0.427210 O b'-1:lemma:37'
388 +-0.427210 O b'-1:word:37'
389 +-0.429642 Supp b'+1:lemma:,'
390 +-0.429642 Supp b'+1:postag:,'
391 +-0.429642 Supp b'+1:word:,'
392 +-0.434934 O b'lemma:37'
393 +-0.434934 O b'word:37'
394 +-0.449375 O b'word:ChIP-exo'
395 +-0.453085 pH b'isUpper'
396 +-0.454154 O b'-2:lemma:IP'
397 +-0.455382 Temp b'+2:postag:IN'
398 +-0.460059 Air b'+1:postag:JJ'
399 +-0.464417 O b'-1:lemma:mm'
400 +-0.464417 O b'-1:word:mM'
401 +-0.467555 O b'+2:lemma:at'
402 +-0.467980 O b'lemma:anaerobically'
403 +-0.467980 O b'word:anaerobically'
404 +-0.470071 O b'-2:lemma:control'
405 +-0.471057 O b'+2:lemma:add'
406 +-0.480066 O b'+1:postag:IN'
407 +-0.484390 O b'lemma:of'
408 +-0.484390 O b'word:of'
409 +-0.485748 O b'lemma:aerobically'
410 +-0.485748 O b'word:aerobically'
411 +-0.496119 O b'-2:lemma:pahse'
412 +-0.501405 O b'-2:lemma:genome'
413 +-0.513871 O b'-2:postag:RB'
414 +-0.528240 O b'-2:postag:DT'
415 +-0.554221 O b'-1:lemma:ml'
416 +-0.554221 O b'-1:word:ml'
417 +-0.555233 O b'lemma:nitrogen'
418 +-0.555233 O b'word:nitrogen'
419 +-0.557362 O b'lemma:2h'
420 +-0.557362 O b'-1:lemma:additional'
421 +-0.557362 O b'word:2h'
422 +-0.557362 O b'-1:word:additional'
423 +-0.574744 O b'+1:postag:VBG'
424 +-0.577749 Supp b'+1:lemma:-lrb-'
425 +-0.577749 Supp b'+1:word:-LRB-'
426 +-0.584147 O b'-2:lemma:glucose'
427 +-0.589012 O b'+1:lemma:g/l'
428 +-0.589012 O b'+1:word:g/L'
429 +-0.592857 O b'lemma:glucose'
430 +-0.592857 O b'word:glucose'
431 +-0.601655 O b'-1:lemma:fresh'
432 +-0.601655 O b'-1:word:fresh'
433 +-0.603478 Supp b'+1:postag:-LRB-'
434 +-0.621366 O b'+1:lemma:in'
435 +-0.621366 O b'+1:word:in'
436 +-0.622465 O b'-1:lemma:30'
437 +-0.622465 O b'-1:word:30'
438 +-0.622636 Supp b'-1:postag:NNP'
439 +-0.623045 Temp b'postag:NN'
440 +-0.628719 O b'-2:lemma:minimal'
441 +-0.629272 O b'+2:lemma:250'
442 +-0.632193 Supp b'+1:postag:NNS'
443 +-0.632244 O b'-2:lemma:nh4cl'
444 +-0.639178 O b'+1:word:ChIP-exo'
445 +-0.641094 Anti b'+1:lemma:anti-fur'
446 +-0.641094 Anti b'+1:word:anti-Fur'
447 +-0.652774 Supp b'postag:CC'
448 +-0.659478 Agit b'isUpper'
449 +-0.660753 O b'-2:lemma:rpob'
450 +-0.662803 O b'+1:lemma:until'
451 +-0.662803 O b'+1:word:until'
452 +-0.684151 O b'-2:postag:SYM'
453 +-0.701908 O b'lemma:0.3'
454 +-0.701908 O b'word:0.3'
455 +-0.708244 O b'-2:lemma:aerobically'
456 +-0.717945 pH b'isLower'
457 +-0.724124 O b'-1:lemma:1'
458 +-0.724124 O b'-1:word:1'
459 +-0.748149 O b'lemma:media'
460 +-0.748149 O b'word:media'
461 +-0.748561 O b'-2:lemma:fresh'
462 +-0.766386 O b'-2:lemma:anaerobically'
463 +-0.773055 O b'-1:lemma:nsrr'
464 +-0.773055 O b'-1:word:NsrR'
465 +-0.780146 O b'lemma:\xce\xb4fur'
466 +-0.780146 O b'word:\xce\x94fur'
467 +-0.780683 O b'-1:lemma:grow'
468 +-0.793481 Supp b'+2:postag:CD'
469 +-0.793996 Supp b'+2:lemma:glucose'
470 +-0.802497 Phase b'isUpper'
471 +-0.818377 O b'+2:lemma:b'
472 +-0.827115 O b'lemma:nitrate'
473 +-0.827115 O b'word:nitrate'
474 +-0.842837 O b'-2:lemma:dpd'
475 +-0.844530 Anti b'isUpper'
476 +-0.848235 O b'lemma:wt'
477 +-0.848520 Supp b'-2:lemma:treat'
478 +-0.856415 O b'-1:lemma:chip-exo'
479 +-0.857668 O b'-2:lemma:rifampicin'
480 +-0.870943 Med b'-2:postag:VBN'
481 +-0.880457 Med b'-1:postag:NN'
482 +-0.892873 Supp b'-2:postag:JJ'
483 +-0.904754 O b'+1:lemma:at'
484 +-0.904754 O b'+1:word:at'
485 +-0.911903 Med b'+2:postag:VBN'
486 +-0.952984 Air b'postag:NN'
487 +-0.961352 Technique b'isNumber'
488 +-0.969534 O b'lemma:rifampicin'
489 +-0.969534 O b'word:rifampicin'
490 +-0.972230 Gtype b'isNumber'
491 +-0.979689 O b'-1:lemma:vol'
492 +-0.979689 O b'-1:word:vol'
493 +-0.979689 O b'-2:lemma:1/100'
494 +-0.979689 O b'+2:lemma:1m'
495 +-0.994381 O b'lemma:mid-log'
496 +-0.994381 O b'word:mid-log'
497 +-0.998905 O b'-1:lemma:IP'
498 +-0.998905 O b'-1:word:IP'
499 +-1.010402 O b'-1:lemma:sample'
500 +-1.039200 O b'+2:lemma:then'
501 +-1.063285 Supp b'-2:lemma:grow'
502 +-1.070057 Gversion b'isLower'
503 +-1.088636 O b'-2:lemma::'
504 +-1.111068 O b'+2:lemma:rifampicin'
505 +-1.141806 O b'lemma:30'
506 +-1.141806 O b'word:30'
507 +-1.155863 Gtype b'isLower'
508 +-1.158383 O b'-2:lemma:media'
509 +-1.163155 Gtype b'-2:lemma:\xe2\x88\x86'
510 +-1.183034 O b'-2:lemma:phase'
511 +-1.187663 O b'-2:lemma:until'
512 +-1.205548 O b'+2:lemma:+'
513 +-1.219191 Technique b'isLower'
514 +-1.223177 O b'postag:RB'
515 +-1.253855 OD b'+1:postag:NN'
516 +-1.256714 O b'+1:lemma:1'
517 +-1.256714 O b'+1:word:1'
518 +-1.263687 Anti b'+2:lemma:polyclonal'
519 +-1.291590 O b'+2:lemma:for'
520 +-1.317736 Gtype b'+2:lemma:cra'
521 +-1.346822 Supp b'postag:JJ'
522 +-1.369654 Gtype b'postag:VBG'
523 +-1.433422 O b'postag:VBP'
524 +-1.476722 O b'+1:lemma:2'
525 +-1.476722 O b'+1:word:2'
526 +-1.525519 O b'-2:lemma:0.3'
527 +-1.666455 Supp b'+2:lemma:1'
528 +-1.826364 Med b'-2:lemma:grow'
529 +-1.900619 Phase b'-1:postag:JJ'
530 +-1.925903 Supp b'+2:lemma:2'
531 +-2.114791 O b'-1:postag:VBG'
532 +-2.153462 Supp b'+2:lemma:fructose'
533 +-2.237029 Anti b'postag:NNP'
534 +-2.314282 O b'-1:lemma::'
535 +-2.314282 O b'-1:word::'
536 +-2.363285 O b'-1:lemma:_'
537 +-2.363285 O b'-1:word:_'
538 +-2.770952 OD b'+2:lemma:aerobically'
539 +-3.794024 Phase b'postag:JJ'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.16987113834357556, 'c2': 0.04496913983225195}
5 +best CV score:0.8747625195626942
6 +model size: 0.13M
7 +
8 +Flat F1: 0.7884082577489101
9 + precision recall f1-score support
10 +
11 + OD 0.818 0.818 0.818 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 1.000 1.000 23
14 + Med 1.000 0.962 0.981 53
15 + Temp 0.923 0.828 0.873 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.875 0.933 0.903 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.864 0.824 0.843 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.712 0.813 0.760 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.801 0.785 0.788 451
28 +
29 +
30 +Top likely transitions:
31 +OD -> OD 5.257890
32 +Temp -> Temp 5.205804
33 +Med -> Med 4.966902
34 +Supp -> Supp 4.928476
35 +Agit -> Agit 4.916983
36 +Anti -> Anti 4.149202
37 +Air -> Air 3.992915
38 +Gversion -> Gversion 3.819753
39 +Gtype -> Gtype 3.718805
40 +Phase -> Phase 3.610359
41 +O -> O 3.452915
42 +Technique -> Technique 3.113366
43 +pH -> pH 2.349939
44 +Substrain -> Gtype 0.775262
45 +O -> Technique 0.770450
46 +O -> Supp 0.669913
47 +Air -> O 0.473830
48 +Gtype -> Supp 0.462636
49 +O -> Gtype 0.453324
50 +Supp -> O 0.311331
51 +Med -> O 0.264436
52 +Gtype -> Air 0.183444
53 +Temp -> O 0.158941
54 +Technique -> Air 0.108884
55 +O -> Phase 0.000506
56 +Air -> Supp -0.000185
57 +Supp -> Gtype -0.002878
58 +O -> OD -0.009866
59 +Supp -> Technique -0.043400
60 +Technique -> Gtype -0.047071
61 +Anti -> O -0.051496
62 +Gtype -> Anti -0.117353
63 +O -> Med -0.118983
64 +Technique -> pH -0.211980
65 +OD -> Air -0.228543
66 +Gversion -> O -0.264567
67 +Gtype -> Med -0.386243
68 +Supp -> Med -0.413936
69 +Gtype -> Technique -0.493289
70 +O -> Air -0.579308
71 +Technique -> O -0.694824
72 +Gtype -> O -0.998730
73 +Med -> Supp -1.066796
74 +Substrain -> O -1.093891
75 +
76 +
77 +Top unlikely transitions:
78 +OD -> OD 5.257890
79 +Temp -> Temp 5.205804
80 +Med -> Med 4.966902
81 +Supp -> Supp 4.928476
82 +Agit -> Agit 4.916983
83 +Anti -> Anti 4.149202
84 +Air -> Air 3.992915
85 +Gversion -> Gversion 3.819753
86 +Gtype -> Gtype 3.718805
87 +Phase -> Phase 3.610359
88 +O -> O 3.452915
89 +Technique -> Technique 3.113366
90 +pH -> pH 2.349939
91 +Substrain -> Gtype 0.775262
92 +O -> Technique 0.770450
93 +O -> Supp 0.669913
94 +Air -> O 0.473830
95 +Gtype -> Supp 0.462636
96 +O -> Gtype 0.453324
97 +Supp -> O 0.311331
98 +Med -> O 0.264436
99 +Gtype -> Air 0.183444
100 +Temp -> O 0.158941
101 +Technique -> Air 0.108884
102 +O -> Phase 0.000506
103 +Air -> Supp -0.000185
104 +Supp -> Gtype -0.002878
105 +O -> OD -0.009866
106 +Supp -> Technique -0.043400
107 +Technique -> Gtype -0.047071
108 +Anti -> O -0.051496
109 +Gtype -> Anti -0.117353
110 +O -> Med -0.118983
111 +Technique -> pH -0.211980
112 +OD -> Air -0.228543
113 +Gversion -> O -0.264567
114 +Gtype -> Med -0.386243
115 +Supp -> Med -0.413936
116 +Gtype -> Technique -0.493289
117 +O -> Air -0.579308
118 +Technique -> O -0.694824
119 +Gtype -> O -0.998730
120 +Med -> Supp -1.066796
121 +Substrain -> O -1.093891
122 +
123 +
124 +Top positive:
125 +4.452085 Anti b'-2:lemma:antibody'
126 +3.689675 O b'word[:2]:re'
127 +3.482630 Gtype b'word[:1]:\xce\x94'
128 +3.342489 O b'-2:lemma:_'
129 +3.175684 Technique b'word[:2]:Ch'
130 +2.884271 OD b'word[:1]:O'
131 +2.741246 Air b'word[:2]:An'
132 +2.637598 Air b'word[:2]:Ae'
133 +2.637598 Air b'word:Aerobic'
134 +2.617531 Air b'lemma:anaerobic'
135 +2.537522 O b'word:A'
136 +2.494524 O b'lemma:2'
137 +2.494524 O b'word:2'
138 +2.467001 Air b'word[:1]:A'
139 +2.363811 Technique b'word[:2]:RN'
140 +2.310310 O b'-2:lemma:medium'
141 +2.291922 Gtype b'-2:lemma:genotype/variation'
142 +2.286103 Supp b'-1:word:Cra'
143 +2.272015 Phase b'-2:lemma:phase'
144 +2.201967 O b'word[:1]:S'
145 +2.155778 O b'lemma:_'
146 +2.155778 O b'word[:1]:_'
147 +2.155778 O b'word:_'
148 +2.134515 Med b'+2:postag:CC'
149 +2.110513 O b'lemma:1'
150 +2.110513 O b'word:1'
151 +2.050395 Gtype b'lemma:wt'
152 +2.025579 Supp b'lemma:arginine'
153 +2.025478 O b'word[:1]:G'
154 +2.007953 Gtype b'word[:1]:d'
155 +1.995272 Gtype b'word[:1]:W'
156 +1.982181 O b'lemma:3'
157 +1.982181 O b'word:3'
158 +1.957486 Gtype b'word[:2]:Fl'
159 +1.925967 Supp b'word[:1]:I'
160 +1.897045 O b'isNumber'
161 +1.871338 Air b'word[:2]:an'
162 +1.870496 Gtype b'hGreek'
163 +1.858144 O b'+2:lemma:cra'
164 +1.842813 Phase b'lemma:mid-log'
165 +1.842813 Phase b'word:mid-log'
166 +1.762000 Supp b'+2:lemma:iptg'
167 +1.751693 Supp b'word[:2]:Fe'
168 +1.733316 Air b'word[:1]:a'
169 +1.731487 O b'isLower'
170 +1.710681 Substrain b'word[:2]:MG'
171 +1.697395 Anti b'+2:lemma:antibody'
172 +1.693427 Gtype b'-1:lemma:\xe2\x88\x86'
173 +1.693427 Gtype b'-1:word:\xe2\x88\x86'
174 +1.672893 O b'postag:IN'
175 +1.672893 O b'postag[:1]:I'
176 +1.672893 O b'postag[:2]:IN'
177 +1.663254 Anti b'word[:2]:an'
178 +1.662524 Gtype b'-2:lemma:delta'
179 +1.648718 Supp b'word[:2]:ni'
180 +1.648211 pH b'word[:2]:pH'
181 +1.646384 pH b'+1:postag:CD'
182 +1.643762 O b'+2:lemma:\xc2\xb0c'
183 +1.636843 Substrain b'word[:1]:M'
184 +1.623586 Supp b'-1:lemma:with'
185 +1.623586 Supp b'-1:word:with'
186 +1.616923 O b'lemma:-'
187 +1.616923 O b'word:-'
188 +1.616244 O b'word[:2]:ge'
189 +1.597930 Supp b'-1:postag:CC'
190 +1.597275 Gtype b'word[:2]:PK'
191 +1.582027 O b'-1:word:Aerobic'
192 +1.576810 O b'lemma:.'
193 +1.576810 O b'postag:.'
194 +1.576810 O b'postag[:1]:.'
195 +1.576810 O b'word:.'
196 +1.554293 Gtype b'word[:1]:w'
197 +1.551110 O b'word[:1]:B'
198 +1.546507 O b'-1:word:tag'
199 +1.529700 Gtype b'lemma:type'
200 +1.529700 Gtype b'word[:2]:ty'
201 +1.529700 Gtype b'word:type'
202 +1.517044 Supp b'lemma:acetate'
203 +1.517044 Supp b'word:acetate'
204 +1.513375 O b'-2:lemma:myc'
205 +1.510589 O b'-1:lemma:tag'
206 +1.507823 O b'word[:2]:Rp'
207 +1.507742 Technique b'word[:1]:R'
208 +1.482889 Technique b'word[:1]:C'
209 +1.482481 Supp b'lemma:pq'
210 +1.482481 Supp b'word[:2]:PQ'
211 +1.482481 Supp b'word:PQ'
212 +1.481495 O b'word[:1]:-'
213 +1.480627 O b'postag::'
214 +1.480627 O b'postag[:1]::'
215 +1.477504 Med b'isUpper'
216 +1.439532 O b'word[:1]:C'
217 +1.433463 Air b'+1:postag:IN'
218 +1.417597 O b'word[:1]:R'
219 +1.408489 Technique b'lemma:ChIP-exo'
220 +1.399469 O b'lemma:a'
221 +1.374497 Temp b'isNumber'
222 +1.369743 O b'postag:CC'
223 +1.369743 O b'postag[:2]:CC'
224 +1.369445 O b'-1:lemma:anaerobic'
225 +1.366915 Temp b'+2:postag:DT'
226 +1.360275 Supp b'+1:lemma:\xc2\xb5m'
227 +1.360275 Supp b'+1:word:\xc2\xb5M'
228 +1.348179 Supp b'-1:lemma:Cra'
229 +1.343465 Supp b'word[:2]:gl'
230 +1.337575 O b'lemma:with'
231 +1.337575 O b'word:with'
232 +1.334448 O b'+2:postag:JJ'
233 +1.332963 Supp b'word[:1]:N'
234 +1.325155 Med b'word[:1]:L'
235 +1.308365 Supp b'lemma:Iron'
236 +1.308365 Supp b'word[:2]:Ir'
237 +1.308365 Supp b'word:Iron'
238 +1.308365 Supp b'+1:word:Deficient'
239 +1.308365 Supp b'-2:lemma:Anaerobic'
240 +1.291354 Med b'word[:1]:M'
241 +1.290809 Gtype b'word[:1]:F'
242 +1.288935 Med b'lemma:MOPS'
243 +1.288935 Med b'word[:2]:MO'
244 +1.288935 Med b'word:MOPS'
245 +1.282537 Gtype b'word[:1]:t'
246 +1.278434 O b'+1:word:ChIP-Seq'
247 +1.273443 Supp b'-2:lemma:for'
248 +1.255541 Gtype b'-2:postag:DT'
249 +1.255203 Technique b'+2:lemma:ph5'
250 +1.250661 Air b'word:Anaerobic'
251 +1.236252 O b'word[:2]:ch'
252 +1.233756 pH b'word[:1]:p'
253 +1.233479 Gtype b'lemma:\xe2\x88\x86'
254 +1.233479 Gtype b'word[:1]:\xe2\x88\x86'
255 +1.233479 Gtype b'word:\xe2\x88\x86'
256 +1.228084 Gtype b'+2:lemma:glucose'
257 +1.223922 O b'+2:lemma:fructose'
258 +1.218698 Gtype b'symb'
259 +1.217647 O b'word[:2]:ha'
260 +1.215512 Strain b'+1:lemma:substr'
261 +1.215512 Strain b'+1:word:substr'
262 +1.215512 Strain b'-2:lemma:str'
263 +1.196793 O b'-1:lemma:glucose'
264 +1.196793 O b'-1:word:glucose'
265 +1.194057 Supp b'-2:lemma:media'
266 +1.184144 O b'-1:lemma:0.3'
267 +1.184144 O b'-1:word:0.3'
268 +1.183310 OD b'-1:postag:IN'
269 +1.178980 O b'word[:1]:c'
270 +1.176425 Supp b'word[:2]:ac'
271 +1.170284 Gversion b'lemma:chip-seq'
272 +1.168235 Gtype b'-2:lemma:affyexp'
273 +1.164552 Gtype b'word[:1]:P'
274 +1.156202 Gversion b'word:ChIP-Seq'
275 +1.156155 O b'-1:lemma:lb'
276 +1.156155 O b'-1:word:LB'
277 +1.149395 O b'-1:lemma:ChIP-exo'
278 +1.146734 Phase b'word[:2]:ex'
279 +1.142864 Gtype b'word[:2]:WT'
280 +1.142864 Gtype b'word:WT'
281 +1.140128 Agit b'+2:lemma:at'
282 +1.135341 O b'+1:postag:VBN'
283 +1.135006 Anti b'+1:lemma:antibody'
284 +1.135006 Anti b'+1:word:antibody'
285 +1.134467 O b'postag:VBN'
286 +1.130287 Supp b'+1:lemma:1'
287 +1.130287 Supp b'+1:word:1'
288 +1.118529 Supp b'postag:VBP'
289 +1.111752 Gtype b'-1:postag:VBG'
290 +1.108134 O b'+1:postag:RB'
291 +1.101074 Temp b'lemma:43'
292 +1.101074 Temp b'word[:2]:43'
293 +1.101074 Temp b'word:43'
294 +1.096502 Supp b'lemma:nacl'
295 +1.096502 Supp b'word:NaCl'
296 +1.094797 O b'word[:2]:Cr'
297 +1.090348 Gtype b'-2:lemma:genotype'
298 +1.090152 Temp b'word[:1]:3'
299 +1.085633 Temp b'-2:lemma:30'
300 +1.082487 O b'-2:lemma:fructose'
301 +1.079531 Gtype b'lemma:nsrr'
302 +1.079531 Gtype b'word[:2]:Ns'
303 +1.079531 Gtype b'word:NsrR'
304 +1.079097 Technique b'symb'
305 +1.077150 Temp b'isUpper'
306 +1.072640 Phase b'word[:1]:e'
307 +1.071712 O b'-2:lemma:flagtag'
308 +1.071622 Technique b'lemma:rna-seq'
309 +1.057972 O b'lemma:b'
310 +1.057972 O b'word:B'
311 +1.057103 Med b'+2:lemma:b2'
312 +1.055515 O b'-1:lemma:media'
313 +1.055515 O b'-1:word:media'
314 +1.054647 O b'+2:lemma:70'
315 +1.051568 Gtype b'+2:lemma:a'
316 +1.051055 Med b'word[:2]:me'
317 +1.050903 Supp b'+2:lemma:rifampicin'
318 +1.049213 O b'word[:1]:E'
319 +1.038966 O b'+1:lemma:pq'
320 +1.038966 O b'+1:word:PQ'
321 +1.036931 Substrain b'-2:lemma:substr'
322 +1.036271 Med b'word[:1]:g'
323 +1.024899 Supp b'-2:lemma:condition'
324 +1.019819 O b'lemma:Custom'
325 +
326 +
327 +Top negative:
328 +-0.233766 O b'-1:lemma:final'
329 +-0.233766 O b'-1:word:final'
330 +-0.234091 O b'+2:lemma:-rrb-'
331 +-0.234779 O b'-1:postag:-LRB-'
332 +-0.238119 Phase b'postag[:1]:J'
333 +-0.238119 Phase b'postag[:2]:JJ'
334 +-0.239654 O b'-2:lemma:a'
335 +-0.240870 O b'+2:lemma:add'
336 +-0.242028 O b'lemma:nitrate'
337 +-0.242028 O b'word:nitrate'
338 +-0.245388 Supp b'-1:lemma:-lrb-'
339 +-0.245388 Supp b'-1:word:-LRB-'
340 +-0.248207 O b'-2:lemma:at'
341 +-0.248837 Air b'isLower'
342 +-0.249358 Supp b'+1:lemma:-lrb-'
343 +-0.249358 Supp b'+1:word:-LRB-'
344 +-0.254940 O b'-2:lemma:rpob'
345 +-0.256776 Supp b'hGreek'
346 +-0.256897 O b'-2:lemma:2'
347 +-0.259614 Supp b'+1:postag:-LRB-'
348 +-0.260142 O b'-2:lemma:fresh'
349 +-0.261060 O b'+1:lemma:+'
350 +-0.261060 O b'+1:word:+'
351 +-0.262071 O b'lemma:2h'
352 +-0.262071 O b'-1:lemma:additional'
353 +-0.262071 O b'word[:2]:2h'
354 +-0.262071 O b'word:2h'
355 +-0.262071 O b'-1:word:additional'
356 +-0.268722 Supp b'word[:2]:an'
357 +-0.270059 Supp b'-1:postag:-LRB-'
358 +-0.274315 O b'+1:lemma:g/l'
359 +-0.274315 O b'+1:word:g/L'
360 +-0.274906 O b'-2:lemma:IP'
361 +-0.275720 Gtype b'isNumber'
362 +-0.280363 O b'-2:lemma:anaerobically'
363 +-0.282585 O b'lemma:0.3'
364 +-0.282585 O b'word:0.3'
365 +-0.284842 O b'word[:2]:gl'
366 +-0.287099 O b'lemma:30'
367 +-0.287099 O b'word:30'
368 +-0.289399 O b'+2:lemma:tag'
369 +-0.289844 Anti b'isUpper'
370 +-0.292297 O b'-1:lemma:control'
371 +-0.292297 O b'-1:word:control'
372 +-0.292666 O b'+1:lemma:1m'
373 +-0.292666 O b'+1:word:1M'
374 +-0.292666 O b'-2:lemma:vol'
375 +-0.294625 O b'+1:lemma:.'
376 +-0.294625 O b'+1:postag:.'
377 +-0.294625 O b'+1:word:.'
378 +-0.294876 Temp b'postag:NN'
379 +-0.297833 O b'-1:lemma:ph'
380 +-0.297833 O b'-1:word:pH'
381 +-0.298423 Technique b'isLower'
382 +-0.300990 Temp b'-2:postag:NN'
383 +-0.305286 O b'-1:lemma:dissolve'
384 +-0.305286 O b'+1:lemma:methanol'
385 +-0.305286 O b'-1:word:dissolved'
386 +-0.305286 O b'+1:word:methanol'
387 +-0.314748 O b'-2:lemma:pahse'
388 +-0.315937 O b'-1:lemma:mm'
389 +-0.315937 O b'-1:word:mM'
390 +-0.322399 Gtype b'word[:1]:h'
391 +-0.323125 OD b'hUpper'
392 +-0.323125 OD b'hLower'
393 +-0.331381 O b'-1:lemma:rpob'
394 +-0.331381 O b'-1:word:RpoB'
395 +-0.339459 O b'-1:postag:IN'
396 +-0.341910 Gtype b'-2:lemma:\xe2\x88\x86'
397 +-0.342651 O b'lemma:of'
398 +-0.342651 O b'word[:2]:of'
399 +-0.342651 O b'word:of'
400 +-0.342819 O b'+2:lemma:fnr'
401 +-0.347959 Med b'+1:postag:IN'
402 +-0.356951 O b'-1:lemma:30'
403 +-0.356951 O b'-1:word:30'
404 +-0.358047 O b'-1:lemma:IP'
405 +-0.358047 O b'-1:word:IP'
406 +-0.360899 O b'+1:lemma:until'
407 +-0.360899 O b'+1:word:until'
408 +-0.364934 O b'-2:lemma:of'
409 +-0.365442 Anti b'+1:lemma:anti-fur'
410 +-0.365442 Anti b'+1:word:anti-Fur'
411 +-0.367544 Med b'+1:postag:NN'
412 +-0.372074 O b'word[:1]:0'
413 +-0.374136 O b'word[:2]:pH'
414 +-0.388322 Supp b'postag:JJ'
415 +-0.391570 Supp b'postag[:1]:J'
416 +-0.391570 Supp b'postag[:2]:JJ'
417 +-0.405960 O b'word[:2]:mg'
418 +-0.412894 O b'-2:lemma:dpd'
419 +-0.416528 Supp b'+1:lemma:,'
420 +-0.416528 Supp b'+1:postag:,'
421 +-0.416528 Supp b'+1:word:,'
422 +-0.419392 O b'+2:lemma:.'
423 +-0.419392 O b'+2:postag:.'
424 +-0.422296 O b'-1:lemma:nsrr'
425 +-0.422296 O b'-1:word:NsrR'
426 +-0.423145 O b'-2:lemma:phase'
427 +-0.426000 O b'+2:lemma:10'
428 +-0.432994 O b'-2:lemma:glucose'
429 +-0.450062 Agit b'symb'
430 +-0.450812 Agit b'hUpper'
431 +-0.450812 Agit b'hLower'
432 +-0.475356 pH b'isLower'
433 +-0.476636 Air b'-1:postag:JJ'
434 +-0.481749 O b'+2:lemma:a'
435 +-0.485266 O b'+2:lemma:250'
436 +-0.496343 O b'word[:2]:ri'
437 +-0.500963 O b'-2:lemma:supplement'
438 +-0.502478 O b'-1:lemma:1'
439 +-0.502478 O b'-1:word:1'
440 +-0.505892 O b'-1:lemma:vol'
441 +-0.505892 O b'-1:word:vol'
442 +-0.505892 O b'-2:lemma:1/100'
443 +-0.505892 O b'+2:lemma:1m'
444 +-0.509659 O b'-2:lemma:until'
445 +-0.510236 O b'-2:postag:-LRB-'
446 +-0.521161 O b'-1:lemma:co2'
447 +-0.521161 O b'-1:word:CO2'
448 +-0.528448 Supp b'+2:postag:NNP'
449 +-0.528535 O b'-2:postag::'
450 +-0.533872 O b'+2:lemma:at'
451 +-0.534880 O b'word[:1]:K'
452 +-0.535293 Med b'+2:postag:VBN'
453 +-0.541773 Supp b'+2:lemma:glucose'
454 +-0.545876 Phase b'postag:JJ'
455 +-0.551702 O b'lemma:rifampicin'
456 +-0.551702 O b'word:rifampicin'
457 +-0.552442 Supp b'-1:postag:NNP'
458 +-0.558246 Gtype b'postag[:1]:V'
459 +-0.558246 Gtype b'postag[:2]:VB'
460 +-0.563240 Med b'-1:postag:NN'
461 +-0.571846 O b'+2:lemma:mid-log'
462 +-0.577127 O b'lemma:wt'
463 +-0.617765 Supp b'symb'
464 +-0.618558 Supp b'-2:postag:JJ'
465 +-0.624362 O b'+1:lemma:2.0'
466 +-0.624362 O b'+1:word:2.0'
467 +-0.628911 O b'word[:2]:fl'
468 +-0.645255 O b'-2:lemma:media'
469 +-0.647985 O b'lemma:mid-log'
470 +-0.647985 O b'word:mid-log'
471 +-0.657965 Anti b'+2:lemma:polyclonal'
472 +-0.658210 O b'word[:2]:ni'
473 +-0.659228 O b'+1:lemma:at'
474 +-0.659228 O b'+1:word:at'
475 +-0.660590 O b'+1:postag:VBG'
476 +-0.660829 O b'-2:lemma::'
477 +-0.663451 Supp b'word[:1]:C'
478 +-0.672793 Med b'symb'
479 +-0.694489 O b'+2:lemma:+'
480 +-0.709178 O b'-1:lemma:2'
481 +-0.709178 O b'-1:word:2'
482 +-0.714094 Phase b'hUpper'
483 +-0.714094 Phase b'hLower'
484 +-0.761826 Gtype b'isUpper'
485 +-0.767486 O b'+1:lemma:in'
486 +-0.767486 O b'+1:word:in'
487 +-0.770064 O b'+1:postag:IN'
488 +-0.778369 O b'+2:lemma:rifampicin'
489 +-0.779812 Air b'postag:NN'
490 +-0.789169 Anti b'postag:NNP'
491 +-0.794413 O b'-1:lemma:sample'
492 +-0.827931 O b'+1:lemma:1'
493 +-0.827931 O b'+1:word:1'
494 +-0.858848 O b'word[:1]:N'
495 +-0.876126 Gversion b'isLower'
496 +-0.907230 O b'+2:postag:-RRB-'
497 +-0.914704 Phase b'-1:postag:JJ'
498 +-0.930998 Gtype b'word[:1]:C'
499 +-0.934673 Med b'-2:lemma:grow'
500 +-0.947305 O b'-2:lemma:rifampicin'
501 +-0.949351 O b'word[:2]:30'
502 +-0.965721 Technique b'postag:NN'
503 +-0.968173 O b'-2:postag:DT'
504 +-0.969881 O b'word[:1]:d'
505 +-0.992013 O b'word[:2]:me'
506 +-1.005304 Gtype b'+2:lemma:cra'
507 +-1.016350 Supp b'+2:lemma:1'
508 +-1.016868 O b'-2:postag:RB'
509 +-1.018698 Med b'-2:postag:VBN'
510 +-1.049404 O b'+2:lemma:then'
511 +-1.070041 Supp b'+2:lemma:fructose'
512 +-1.100907 O b'-2:lemma:0.3'
513 +-1.187447 O b'+1:lemma:2'
514 +-1.187447 O b'+1:word:2'
515 +-1.201747 O b'postag:VBP'
516 +-1.230600 Supp b'+2:postag:CD'
517 +-1.246552 OD b'+2:lemma:aerobically'
518 +-1.286136 Supp b'+2:lemma:2'
519 +-1.312055 O b'word[:1]:P'
520 +-1.352684 OD b'+1:postag:NN'
521 +-1.428576 O b'-1:postag::'
522 +-1.785805 O b'-1:lemma::'
523 +-1.785805 O b'-1:word::'
524 +-1.853048 O b'-1:postag:VBG'
525 +-2.104444 O b'word[:2]:Ch'
526 +-2.120158 O b'-1:lemma:_'
527 +-2.120158 O b'-1:word:_'
528 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.12475431096451621, 'c2': 0.013861677898849787}
5 +best CV score:0.8708258755708097
6 +model size: 0.13M
7 +
8 +Flat F1: 0.7686691050567419
9 + precision recall f1-score support
10 +
11 + OD 0.818 0.818 0.818 22
12 + pH 1.000 1.000 1.000 8
13 + Technique 1.000 0.913 0.955 23
14 + Med 1.000 0.962 0.981 53
15 + Temp 1.000 0.828 0.906 29
16 + Vess 1.000 1.000 1.000 1
17 + Agit 0.000 0.000 0.000 0
18 + Phase 0.882 1.000 0.938 15
19 + Air 0.556 0.362 0.439 69
20 + Anti 1.000 1.000 1.000 11
21 + Strain 0.000 0.000 0.000 1
22 + Gtype 0.867 0.847 0.857 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.586 0.813 0.681 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.769 0.787 0.769 451
28 +
29 +
30 +Top likely transitions:
31 +Agit -> Agit 6.648242
32 +Temp -> Temp 6.282260
33 +OD -> OD 5.656317
34 +Med -> Med 5.374931
35 +Supp -> Supp 5.024760
36 +Gversion -> Gversion 4.860700
37 +Anti -> Anti 4.808761
38 +Phase -> Phase 4.070172
39 +Air -> Air 4.046984
40 +Gtype -> Gtype 3.891102
41 +O -> O 3.673937
42 +Technique -> Technique 3.298287
43 +pH -> pH 2.863141
44 +Substrain -> Gtype 0.869714
45 +O -> Technique 0.537319
46 +Air -> O 0.264430
47 +O -> Gtype 0.222368
48 +Temp -> O 0.130509
49 +Gtype -> Supp 0.079007
50 +Technique -> Air 0.075090
51 +Med -> O 0.071813
52 +O -> Anti 0.041836
53 +O -> Supp 0.033164
54 +Supp -> O -0.011764
55 +Phase -> O -0.027870
56 +OD -> O -0.058085
57 +Gversion -> O -0.096750
58 +O -> Phase -0.097534
59 +Air -> Supp -0.189966
60 +Technique -> pH -0.218375
61 +Temp -> Med -0.224152
62 +O -> Med -0.332474
63 +O -> OD -0.383967
64 +Gtype -> Med -0.624502
65 +Gtype -> Technique -0.734455
66 +Technique -> O -0.940389
67 +O -> Air -1.114206
68 +Gtype -> O -1.304969
69 +Substrain -> O -1.345412
70 +Med -> Supp -2.177917
71 +
72 +
73 +Top unlikely transitions:
74 +Agit -> Agit 6.648242
75 +Temp -> Temp 6.282260
76 +OD -> OD 5.656317
77 +Med -> Med 5.374931
78 +Supp -> Supp 5.024760
79 +Gversion -> Gversion 4.860700
80 +Anti -> Anti 4.808761
81 +Phase -> Phase 4.070172
82 +Air -> Air 4.046984
83 +Gtype -> Gtype 3.891102
84 +O -> O 3.673937
85 +Technique -> Technique 3.298287
86 +pH -> pH 2.863141
87 +Substrain -> Gtype 0.869714
88 +O -> Technique 0.537319
89 +Air -> O 0.264430
90 +O -> Gtype 0.222368
91 +Temp -> O 0.130509
92 +Gtype -> Supp 0.079007
93 +Technique -> Air 0.075090
94 +Med -> O 0.071813
95 +O -> Anti 0.041836
96 +O -> Supp 0.033164
97 +Supp -> O -0.011764
98 +Phase -> O -0.027870
99 +OD -> O -0.058085
100 +Gversion -> O -0.096750
101 +O -> Phase -0.097534
102 +Air -> Supp -0.189966
103 +Technique -> pH -0.218375
104 +Temp -> Med -0.224152
105 +O -> Med -0.332474
106 +O -> OD -0.383967
107 +Gtype -> Med -0.624502
108 +Gtype -> Technique -0.734455
109 +Technique -> O -0.940389
110 +O -> Air -1.114206
111 +Gtype -> O -1.304969
112 +Substrain -> O -1.345412
113 +Med -> Supp -2.177917
114 +
115 +
116 +Top positive:
117 +5.778785 Anti b'-2:lemma:antibody'
118 +5.099975 Technique b'lemma[:2]:Ch'
119 +4.743651 O b'-2:lemma:_'
120 +4.315336 Gtype b'lemma[:1]:\xce\xb4'
121 +4.248364 O b'lemma[:2]:re'
122 +4.215292 Air b'word:Aerobic'
123 +3.511204 O b'postag:CC'
124 +3.394617 O b'postag:IN'
125 +3.322867 O b'lemma:2'
126 +3.322867 O b'word:2'
127 +3.302849 O b'-2:lemma:medium'
128 +3.302673 Substrain b'lemma[:2]:mg'
129 +3.165450 Technique b'lemma[:2]:rn'
130 +3.016068 Med b'+2:postag:CC'
131 +2.985942 Air b'word:Anaerobic'
132 +2.966163 O b'lemma:1'
133 +2.966163 O b'word:1'
134 +2.923025 O b'lemma:3'
135 +2.923025 O b'word:3'
136 +2.877232 Phase b'-2:lemma:phase'
137 +2.867093 Supp b'-1:word:Cra'
138 +2.833973 Supp b'lemma:arginine'
139 +2.812849 O b'+2:lemma:\xc2\xb0c'
140 +2.760554 Air b'postag:RB'
141 +2.740030 O b'lemma[:1]:h'
142 +2.731812 Gtype b'-2:lemma:genotype/variation'
143 +2.708235 Air b'lemma[:2]:an'
144 +2.604774 O b'postag::'
145 +2.584655 Anti b'+2:lemma:antibody'
146 +2.582878 O b'lemma:-'
147 +2.582878 O b'word:-'
148 +2.571693 O b'word:Cra'
149 +2.568004 O b'lemma:_'
150 +2.568004 O b'lemma[:1]:_'
151 +2.568004 O b'word:_'
152 +2.567283 O b'-1:lemma:ChIP-exo'
153 +2.560556 O b'word:A'
154 +2.539743 Gtype b'word:WT'
155 +2.513546 O b'lemma:.'
156 +2.513546 O b'postag:.'
157 +2.513546 O b'word:.'
158 +2.499439 Gtype b'lemma:type'
159 +2.499439 Gtype b'lemma[:2]:ty'
160 +2.499439 Gtype b'word:type'
161 +2.460970 Air b'lemma:anaerobic'
162 +2.408658 O b'+1:postag:RB'
163 +2.388183 Phase b'lemma:mid-log'
164 +2.388183 Phase b'word:mid-log'
165 +2.384478 Supp b'lemma[:2]:gl'
166 +2.383895 O b'postag:VBN'
167 +2.382299 Air b'lemma[:2]:ae'
168 +2.358041 O b'lemma:with'
169 +2.358041 O b'word:with'
170 +2.353625 Supp b'+2:lemma:iptg'
171 +2.350953 Phase b'lemma[:2]:ex'
172 +2.322692 Technique b'word:ChIPSeq'
173 +2.304893 Gtype b'-2:lemma:delta'
174 +2.289460 O b'+2:lemma:fructose'
175 +2.285493 O b'+2:lemma:cra'
176 +2.276073 O b'lemma[:2]:ge'
177 +2.256719 Supp b'-1:postag:CC'
178 +2.250185 Air b'lemma[:1]:a'
179 +2.234168 Gtype b'lemma[:2]:pk'
180 +2.207665 O b'-1:lemma:tag'
181 +2.164408 Technique b'lemma:chipseq'
182 +2.073628 O b'+2:lemma:70'
183 +2.050739 Supp b'lemma:pq'
184 +2.050739 Supp b'lemma[:2]:pq'
185 +2.050739 Supp b'word:PQ'
186 +2.001826 Air b'+1:postag:IN'
187 +1.975647 O b'isLower'
188 +1.936376 O b'-1:word:Aerobic'
189 +1.920820 Gtype b'-1:lemma:\xe2\x88\x86'
190 +1.920820 Gtype b'-1:word:\xe2\x88\x86'
191 +1.908896 O b'-1:lemma:anaerobic'
192 +1.889420 pH b'+1:postag:CD'
193 +1.888509 Supp b'lemma[:1]:n'
194 +1.886729 O b'postag:DT'
195 +1.858376 Supp b'lemma:Iron'
196 +1.858376 Supp b'lemma[:2]:Ir'
197 +1.858376 Supp b'word:Iron'
198 +1.858376 Supp b'+1:word:Deficient'
199 +1.858376 Supp b'-2:lemma:Anaerobic'
200 +1.853608 O b'lemma:chip'
201 +1.838366 Gversion b'lemma:chip-seq'
202 +1.831815 O b'-1:word:tag'
203 +1.820620 Anti b'lemma[:2]:an'
204 +1.815550 Gtype b'lemma[:1]:w'
205 +1.809178 Gtype b'hGreek'
206 +1.792293 Gversion b'word:ChIP-Seq'
207 +1.775178 Gtype b'-2:postag:DT'
208 +1.768307 O b'+1:word:ChIP-Seq'
209 +1.764667 Supp b'-1:lemma:with'
210 +1.764667 Supp b'-1:word:with'
211 +1.722957 Supp b'lemma:acetate'
212 +1.722957 Supp b'word:acetate'
213 +1.713832 Technique b'-1:lemma:chip-exo'
214 +1.710287 Med b'isUpper'
215 +1.709780 O b'lemma:b'
216 +1.709780 O b'word:B'
217 +1.704621 Technique b'word:ChIP-Seq'
218 +1.694028 Phase b'lemma[:1]:e'
219 +1.689430 Gtype b'+1:lemma:type'
220 +1.689430 Gtype b'+1:word:type'
221 +1.679770 Supp b'lemma[:1]:I'
222 +1.670552 Supp b'+2:lemma:rifampicin'
223 +1.664056 O b'lemma[:1]:b'
224 +1.661667 Substrain b'lemma[:1]:m'
225 +1.647294 Gtype b'lemma:wt'
226 +1.647294 Gtype b'lemma[:2]:wt'
227 +1.634965 O b'-2:lemma:myc'
228 +1.622392 pH b'lemma[:2]:ph'
229 +1.620704 Supp b'-2:lemma:agent'
230 +1.618245 Technique b'lemma[:2]:ch'
231 +1.617020 O b'+2:postag:JJ'
232 +1.593807 Supp b'+1:lemma:\xc2\xb5m'
233 +1.593807 Supp b'+1:word:\xc2\xb5M'
234 +1.593155 O b'lemma:a'
235 +1.582387 O b'+1:postag:NNP'
236 +1.579370 Temp b'-1:word:sample'
237 +1.576150 Gtype b'+2:lemma:glucose'
238 +1.562990 O b'+1:lemma:pq'
239 +1.562990 O b'+1:word:PQ'
240 +1.555511 Gtype b'lemma[:2]:wi'
241 +1.554537 Gtype b'lemma[:1]:f'
242 +1.545677 Temp b'-1:lemma:sample'
243 +1.540501 Med b'lemma:MOPS'
244 +1.540501 Med b'lemma[:1]:M'
245 +1.540501 Med b'lemma[:2]:MO'
246 +1.540501 Med b'word:MOPS'
247 +1.522098 OD b'lemma[:1]:o'
248 +1.509875 Med b'lemma[:1]:m'
249 +1.505327 Phase b'-2:lemma:until'
250 +1.505027 O b'-1:lemma:lb'
251 +1.505027 O b'-1:word:LB'
252 +1.497714 Gtype b'-1:postag:VBG'
253 +1.492176 Agit b'+2:lemma:at'
254 +1.486489 O b'isNumber'
255 +1.464199 Gtype b'-2:lemma:affyexp'
256 +1.453424 Supp b'lemma[:2]:30'
257 +1.450691 Gversion b'lemma[:2]:00'
258 +1.450691 Gversion b'-2:lemma:nc'
259 +1.450278 Technique b'lemma:ChIP-exo'
260 +1.448397 O b'-1:lemma:media'
261 +1.448397 O b'-1:word:media'
262 +1.443477 Supp b'lemma[:2]:ni'
263 +1.440399 O b'lemma:Custom'
264 +1.440399 O b'lemma[:2]:Cu'
265 +1.440399 O b'word:Custom'
266 +1.429606 Supp b'-1:lemma:Cra'
267 +1.425430 Supp b'-2:lemma:media'
268 +1.418079 Med b'+2:lemma:b2'
269 +1.404067 O b'-1:lemma:glucose'
270 +1.404067 O b'-1:word:glucose'
271 +1.396114 Phase b'+2:lemma:o.d.'
272 +1.387435 Gtype b'lemma:\xe2\x88\x86'
273 +1.387435 Gtype b'lemma[:1]:\xe2\x88\x86'
274 +1.387435 Gtype b'word:\xe2\x88\x86'
275 +1.349810 Temp b'-2:lemma:\xcf\x8332'
276 +1.346540 Supp b'lemma:fructose'
277 +1.346540 Supp b'word:fructose'
278 +1.343114 Technique b'lemma[:1]:C'
279 +1.341281 Gversion b'-2:lemma:build'
280 +1.336703 O b'-2:lemma:flagtag'
281 +1.328773 Med b'lemma:broth'
282 +1.328773 Med b'-1:lemma:L'
283 +1.328773 Med b'lemma[:2]:br'
284 +1.328773 Med b'word:broth'
285 +1.328773 Med b'-1:word:L'
286 +1.325888 Supp b'+1:lemma:1'
287 +1.325888 Supp b'+1:word:1'
288 +1.321862 Anti b'+1:lemma:antibody'
289 +1.321862 Anti b'+1:word:antibody'
290 +1.316632 O b'+2:lemma:polyclonal'
291 +1.311992 O b'-1:lemma:0.3'
292 +1.311992 O b'-1:word:0.3'
293 +1.295781 Gtype b'lemma[:2]:de'
294 +1.284876 Gtype b'-2:lemma:genotype'
295 +1.277004 Supp b'-2:lemma:condition'
296 +1.273482 Supp b'-2:lemma:induce'
297 +1.271728 Air b'-1:postag::'
298 +1.268149 Phase b'lemma:stationary'
299 +1.268149 Phase b'word:stationary'
300 +1.262573 Technique b'-1:lemma:input'
301 +1.262573 Technique b'-1:word:Input'
302 +1.259324 Gversion b'-2:postag:VB'
303 +1.259137 Supp b'lemma[:2]:ac'
304 +1.259012 O b'+1:lemma:mid-log'
305 +1.259012 O b'+1:word:mid-log'
306 +1.253088 Temp b'-1:lemma:43'
307 +1.253088 Temp b'-1:word:43'
308 +1.253040 Gtype b'lemma:nsrr'
309 +1.253040 Gtype b'lemma[:2]:ns'
310 +1.253040 Gtype b'word:NsrR'
311 +1.237967 O b'lemma:0.4'
312 +1.237967 O b'word:0.4'
313 +1.236427 O b'-1:lemma:type'
314 +1.236427 O b'-1:word:type'
315 +1.229582 O b'lemma:ompr'
316 +1.229582 O b'word:OmpR'
317 +
318 +
319 +Top negative:
320 +-0.226109 O b'+1:word:+'
321 +-0.228043 Supp b'-1:lemma:-lrb-'
322 +-0.228043 Supp b'-1:word:-LRB-'
323 +-0.230436 O b'-1:lemma:37'
324 +-0.230436 O b'-1:word:37'
325 +-0.231705 O b'-2:lemma:rpob'
326 +-0.238413 Supp b'-2:lemma:treat'
327 +-0.244411 O b'+1:lemma:supplement'
328 +-0.244411 O b'+1:word:supplemented'
329 +-0.245251 Supp b'-1:postag:-LRB-'
330 +-0.247310 O b'+2:lemma:at'
331 +-0.248881 Supp b'-2:lemma:grow'
332 +-0.251177 O b'lemma[:1]:I'
333 +-0.254376 Supp b'+2:lemma:glucose'
334 +-0.259696 O b'-1:lemma:ph'
335 +-0.259696 O b'-1:word:pH'
336 +-0.264998 O b'-2:postag:-LRB-'
337 +-0.269895 O b'lemma[:2]:0.'
338 +-0.271060 O b'lemma:media'
339 +-0.271060 O b'word:media'
340 +-0.271346 O b'lemma:of'
341 +-0.271346 O b'lemma[:2]:of'
342 +-0.271346 O b'word:of'
343 +-0.271681 Med b'-1:postag:CD'
344 +-0.273156 Supp b'lemma[:1]:a'
345 +-0.280251 O b'lemma:glucose'
346 +-0.280251 O b'word:glucose'
347 +-0.283644 O b'+1:lemma:1m'
348 +-0.283644 O b'+1:word:1M'
349 +-0.283644 O b'-2:lemma:vol'
350 +-0.283702 Med b'+1:postag:NN'
351 +-0.284709 O b'+2:lemma:a'
352 +-0.285197 Anti b'+2:lemma:polyclonal'
353 +-0.289677 O b'lemma:30'
354 +-0.289677 O b'word:30'
355 +-0.295454 O b'-2:lemma:of'
356 +-0.296935 Phase b'+1:postag:NN'
357 +-0.298375 Phase b'-2:postag:NN'
358 +-0.304558 O b'+1:lemma:until'
359 +-0.304558 O b'+1:word:until'
360 +-0.306703 O b'-1:lemma:30'
361 +-0.306703 O b'-1:word:30'
362 +-0.313912 Supp b'+2:postag:NNP'
363 +-0.316964 O b'+1:lemma:mm'
364 +-0.316964 O b'+1:word:mM'
365 +-0.318525 O b'lemma:0.3'
366 +-0.318525 O b'word:0.3'
367 +-0.320042 Supp b'+1:lemma:-lrb-'
368 +-0.320042 Supp b'+1:word:-LRB-'
369 +-0.320535 Gtype b'-2:postag:CD'
370 +-0.321989 O b'-2:lemma:dpd'
371 +-0.322258 O b'lemma:2h'
372 +-0.322258 O b'-1:lemma:additional'
373 +-0.322258 O b'lemma[:2]:2h'
374 +-0.322258 O b'word:2h'
375 +-0.322258 O b'-1:word:additional'
376 +-0.322790 O b'-1:lemma:final'
377 +-0.322790 O b'-1:word:final'
378 +-0.324434 Air b'+2:lemma:95'
379 +-0.331328 O b'-2:lemma:anaerobically'
380 +-0.334146 O b'+1:lemma:g/l'
381 +-0.334146 O b'+1:word:g/L'
382 +-0.335082 Supp b'+1:postag:-LRB-'
383 +-0.338290 O b'-2:lemma:fresh'
384 +-0.339212 O b'+2:lemma:250'
385 +-0.341268 O b'-2:postag::'
386 +-0.342136 Gtype b'isNumber'
387 +-0.347416 Temp b'isLower'
388 +-0.350883 O b'-1:lemma:nsrr'
389 +-0.350883 O b'-1:word:NsrR'
390 +-0.354035 O b'lemma[:2]:ph'
391 +-0.354572 O b'+2:lemma:10'
392 +-0.357789 O b'-1:postag:IN'
393 +-0.359009 O b'lemma[:2]:gl'
394 +-0.359220 Anti b'+1:lemma:anti-fur'
395 +-0.359220 Anti b'+1:word:anti-Fur'
396 +-0.360276 O b'lemma[:1]:0'
397 +-0.369156 Gtype b'postag:VBG'
398 +-0.370735 O b'lemma[:1]:p'
399 +-0.372427 Supp b'hGreek'
400 +-0.376173 O b'-1:lemma:co2'
401 +-0.376173 O b'-1:word:CO2'
402 +-0.379578 Air b'-1:postag:JJ'
403 +-0.395494 O b'-2:lemma:pahse'
404 +-0.402449 O b'-1:lemma:IP'
405 +-0.402449 O b'-1:word:IP'
406 +-0.408327 O b'-1:lemma:dissolve'
407 +-0.408327 O b'+1:lemma:methanol'
408 +-0.408327 O b'-1:word:dissolved'
409 +-0.408327 O b'+1:word:methanol'
410 +-0.412183 Supp b'-1:postag:NNP'
411 +-0.420616 O b'-1:lemma:mm'
412 +-0.420616 O b'-1:word:mM'
413 +-0.429595 Supp b'-2:postag:JJ'
414 +-0.430195 O b'-1:lemma:grow'
415 +-0.435625 Med b'-1:postag:NN'
416 +-0.448459 O b'lemma[:1]:k'
417 +-0.448610 O b'-2:lemma:supplement'
418 +-0.466479 O b'-1:lemma:1'
419 +-0.466479 O b'-1:word:1'
420 +-0.469602 O b'-2:lemma:until'
421 +-0.479898 O b'lemma[:1]:d'
422 +-0.497095 OD b'isUpper'
423 +-0.504384 O b'+2:lemma:-rrb-'
424 +-0.509042 O b'+2:lemma:.'
425 +-0.509042 O b'+2:postag:.'
426 +-0.509708 O b'lemma[:1]:L'
427 +-0.515769 Supp b'+1:lemma:,'
428 +-0.515769 Supp b'+1:postag:,'
429 +-0.515769 Supp b'+1:word:,'
430 +-0.523080 O b'+2:lemma:mid-log'
431 +-0.538428 O b'+2:lemma:tag'
432 +-0.544421 O b'+1:lemma:at'
433 +-0.544421 O b'+1:word:at'
434 +-0.547856 Air b'isLower'
435 +-0.550244 Supp b'lemma[:1]:s'
436 +-0.559046 O b'+2:postag:-RRB-'
437 +-0.569716 O b'lemma[:1]:n'
438 +-0.570198 Gtype b'-2:lemma:\xe2\x88\x86'
439 +-0.579000 Gtype b'lemma[:1]:a'
440 +-0.583274 Anti b'+2:postag:JJ'
441 +-0.584013 O b'+2:lemma:+'
442 +-0.587165 O b'-2:postag:DT'
443 +-0.588343 Anti b'isUpper'
444 +-0.593932 Temp b'postag:NN'
445 +-0.629429 Technique b'postag:NN'
446 +-0.641599 O b'+1:postag:VBG'
447 +-0.642253 O b'-2:postag:RB'
448 +-0.645675 O b'-2:lemma:glucose'
449 +-0.646300 O b'-2:lemma:aerobically'
450 +-0.655586 Phase b'hUpper'
451 +-0.655586 Phase b'hLower'
452 +-0.667822 Supp b'symb'
453 +-0.684950 O b'lemma:mid-log'
454 +-0.684950 O b'word:mid-log'
455 +-0.696963 Air b'postag:CD'
456 +-0.697392 Gtype b'lemma[:1]:c'
457 +-0.708226 O b'+1:postag:IN'
458 +-0.709735 Agit b'hUpper'
459 +-0.709735 Agit b'hLower'
460 +-0.719991 Supp b'+2:postag:CD'
461 +-0.734493 O b'postag:VBP'
462 +-0.737825 O b'+1:lemma:2.0'
463 +-0.737825 O b'+1:word:2.0'
464 +-0.739276 O b'-2:lemma:phase'
465 +-0.744487 O b'-1:lemma:vol'
466 +-0.744487 O b'-1:word:vol'
467 +-0.744487 O b'-2:lemma:1/100'
468 +-0.744487 O b'+2:lemma:1m'
469 +-0.745820 O b'-1:lemma:2'
470 +-0.745820 O b'-1:word:2'
471 +-0.779133 O b'lemma[:2]:me'
472 +-0.791240 Med b'-2:postag:VBN'
473 +-0.811108 pH b'isLower'
474 +-0.815019 O b'lemma[:2]:ri'
475 +-0.822304 O b'lemma[:2]:ae'
476 +-0.845031 Air b'symb'
477 +-0.852088 O b'-1:postag::'
478 +-0.858500 O b'lemma:rifampicin'
479 +-0.858500 O b'word:rifampicin'
480 +-0.868974 O b'+1:lemma:in'
481 +-0.868974 O b'+1:word:in'
482 +-0.877702 O b'-2:lemma::'
483 +-0.910576 Agit b'symb'
484 +-0.911173 Med b'+2:postag:VBN'
485 +-0.967024 O b'+2:lemma:rifampicin'
486 +-0.974578 Gtype b'lemma[:1]:r'
487 +-0.982189 OD b'+1:postag:NN'
488 +-0.989258 Supp b'+2:lemma:fructose'
489 +-0.999898 Gtype b'isUpper'
490 +-1.007082 Supp b'postag:JJ'
491 +-1.027901 O b'+1:lemma:1'
492 +-1.027901 O b'+1:word:1'
493 +-1.080125 O b'-1:lemma:sample'
494 +-1.081087 Med b'symb'
495 +-1.103669 Anti b'postag:NNP'
496 +-1.119102 Supp b'lemma[:1]:c'
497 +-1.161510 Gtype b'+2:lemma:cra'
498 +-1.168776 O b'postag:RB'
499 +-1.179031 Gversion b'isLower'
500 +-1.264564 Air b'postag:NN'
501 +-1.303121 Phase b'-1:postag:JJ'
502 +-1.313129 O b'-2:lemma:0.3'
503 +-1.354086 O b'+2:lemma:then'
504 +-1.362965 O b'-2:lemma:rifampicin'
505 +-1.372070 O b'lemma[:2]:30'
506 +-1.477845 O b'+1:lemma:2'
507 +-1.477845 O b'+1:word:2'
508 +-1.613769 Med b'-2:lemma:grow'
509 +-1.790036 O b'-1:postag:VBG'
510 +-1.878256 O b'-2:lemma:media'
511 +-1.903402 Supp b'+2:lemma:1'
512 +-1.998576 Phase b'postag:JJ'
513 +-2.018162 Supp b'+2:lemma:2'
514 +-2.234797 OD b'+2:lemma:aerobically'
515 +-2.297320 O b'-1:lemma::'
516 +-2.297320 O b'-1:word::'
517 +-2.625976 O b'lemma[:2]:fl'
518 +-2.846763 O b'-1:lemma:_'
519 +-2.846763 O b'-1:word:_'
520 +