Carlos-Francisco Méndez-Cruz / automatic-extraction-growth-conditions

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Estefani Gaytan Nunez
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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-reports.py --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/reports/ --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/figures/ --figureName FiguresGrid_v1 --inputFile report_Run1_v11.txt ..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 + for report in reportFileList:
80 + with open(os.path.join(options.inputPath, report), 'r') as File:
81 + string = File.read()
82 + scores[report[7:11]]['CV']=re.findall('best\sCV\sscore\:(\d+\.\d+)', string)[0]
83 + summaryScores = re.findall('avg\s\/\stotal\s+(\d+\.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
84 + scores[report[7:11]]['precision']=summaryScores[0]
85 + scores[report[7:11]]['recall']=summaryScores[1]
86 + scores[report[7:11]]['f1-score']=summaryScores[2]
87 +
88 + print(DF(scores).T)
89 + scoresTable = DF(scores).T
90 +
91 + imageName=os.path.join(options.outputPath, options.figureName)
92 + ylab = "score",
93 + fig = plt.figure()
94 + plt.grid(False)
95 + plt.rcParams.update({'font.size': 15})
96 + fig.set_figheight(13)
97 + fig.set_figwidth(20)
98 + plt.xlabel("Runs")
99 + plt.ylabel("score")
100 + plt.xticks(range(8),scoresTable["CV"].index)
101 + plt.plot(scoresTable['CV'], "--", color="red", label="CV")
102 + plt.plot(scoresTable['precision'], color="blue", label="precision")
103 + plt.plot(scoresTable['f1-score'], color="orange", label="F1")
104 + plt.plot(scoresTable['recall'], color="g", label="recall")
105 + plt.legend(loc='lower right')
106 + plt.tight_layout()
107 + fig.savefig(imageName, pad_inches=0.5)
108 +
109 +
110 +
111 +
112 +
113 +
1 +
2 +python3 training_validation_v10.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 Run1 --version _v10 > ../outputs/Run1_v10.txt
3 +python3 training_validation_v10.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 Run2 --version _v10 --S1 > ../outputs/Run2_v10.txt
4 +python3 training_validation_v10.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 Run3 --version _v10 --S2 > ../outputs/Run3_v10.txt
5 +python3 training_validation_v10.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 Run4 --version _v10 --S1 --S2 > ../outputs/Run4_v10.txt
6 +python3 training_validation_v10.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 Run5 --version _v10 --S3 > ../outputs/Run5_v10.txt
7 +python3 training_validation_v10.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 Run6 --version _v10 --S1 --S3 > ../outputs/Run6_v10.txt
8 +python3 training_validation_v10.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 Run7 --version _v10 --S2 --S3 > ../outputs/Run7_v10.txt
9 +python3 training_validation_v10.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 Run8 --version _v10 --S1 --S2 --S3 > ../outputs/Run8_v10.txt
10 +
11 +
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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: _v10
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003860s
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=0.26477192990624615, c2=0.05577785462906174 ..................
32 +[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.865443 - 0.8s
33 +[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
34 +[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.679190 - 1.2s
35 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
36 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.894596 - 0.9s
37 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
38 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.827517 - 1.0s
39 +[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
40 +[CV] c1=1.3554102602892857, c2=0.04064106043794771, score=0.883195 - 1.1s
41 +[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
42 +[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.836344 - 0.9s
43 +[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
44 +[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.873860 - 1.0s
45 +[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
46 +[CV] c1=0.09740360970030945, c2=0.028519696998299794, score=0.849711 - 1.0s
47 +[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
48 +[CV] c1=0.7400583455049986, c2=0.11089308616237473, score=0.769308 - 1.1s
49 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
50 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.687408 - 1.1s
51 +[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
52 +[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.820852 - 1.0s
53 +[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
54 +[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.914320 - 1.0s
55 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
56 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.683676 - 1.0s
57 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
58 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.794216 - 1.1s
59 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
60 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.595497 - 1.1s
61 +[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
62 +[CV] c1=1.5046786522259286, c2=0.10025629970071295, score=0.876340 - 1.2s
63 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
64 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.809458 - 1.1s
65 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
66 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.708368 - 1.1s
67 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
68 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.765873 - 1.1s
69 +[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
70 +[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.894596 - 0.8s
71 +[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
72 +[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.905059 - 1.2s
73 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
74 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.836344 - 1.0s
75 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
76 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.764496 - 1.2s
77 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
78 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.884863 - 1.0s
79 +[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
80 +[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.683676 - 1.1s
81 +[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
82 +[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.874120 - 1.1s
83 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
84 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.879946 - 1.0s
85 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
86 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.869930 - 1.1s
87 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
88 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.815705 - 1.1s
89 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
90 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.790884 - 1.0s
91 +[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
92 +[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.914857 - 1.1s
93 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
94 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.895137 - 1.1s
95 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
96 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.887885 - 1.1s
97 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
98 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.840073 - 1.0s
99 +[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
100 +[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.879946 - 1.0s
101 +[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
102 +[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.848881 - 1.1s
103 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
104 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.856620 - 1.1s
105 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
106 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.868591 - 1.0s
107 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
108 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.861725 - 1.2s
109 +[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
110 +[CV] c1=0.37691263592010804, c2=0.010709701276127422, score=0.703882 - 1.0s
111 +[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
112 +[CV] c1=0.0024717739018770973, c2=0.1040320995921139, score=0.856469 - 0.9s
113 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
114 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.820852 - 1.1s
115 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
116 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.920058 - 1.1s
117 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
118 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.914811 - 1.0s
119 +[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
120 +[CV] c1=0.37691263592010804, c2=0.010709701276127422, score=0.827517 - 1.0s
121 +[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
122 +[CV] c1=0.0024717739018770973, c2=0.1040320995921139, score=0.859998 - 1.0s
123 +[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
124 +[CV] c1=0.040228507114711654, c2=0.07249239303768308, score=0.879947 - 1.0s
125 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
126 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.812884 - 1.1s
127 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
128 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.735694 - 1.1s
129 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
130 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.849711 - 1.1s
131 +[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
132 +[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.701318 - 1.1s
133 +[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
134 +[CV] c1=0.040228507114711654, c2=0.07249239303768308, score=0.849711 - 1.1s
135 +[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
136 +[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.857679 - 1.1s
137 +[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
138 +[CV] c1=0.12232540864976137, c2=0.05565442682947846, score=0.889676 - 1.0s
139 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
140 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.703530 - 1.1s
141 +[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
142 +[CV] c1=0.0024717739018770973, c2=0.1040320995921139, score=0.889676 - 1.0s
143 +[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
144 +[CV] c1=0.040228507114711654, c2=0.07249239303768308, score=0.914669 - 1.2s
145 +[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
146 +[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.879947 - 1.0s
147 +[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
148 +[CV] c1=0.12232540864976137, c2=0.05565442682947846, score=0.841215 - 1.1s
149 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
150 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.910520 - 1.1s
151 +[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
152 +[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.797169 - 1.0s
153 +[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
154 +[CV] c1=0.040228507114711654, c2=0.07249239303768308, score=0.859998 - 1.1s
155 +[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
156 +[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.703530 - 1.1s
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359 +[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
360 +[CV] c1=1.5046786522259286, c2=0.10025629970071295, score=0.675699 - 1.2s
361 +[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
362 +[CV] c1=0.09740360970030945, c2=0.028519696998299794, score=0.679190 - 1.1s
363 +[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
364 +[CV] c1=0.7400583455049986, c2=0.11089308616237473, score=0.587002 - 1.1s
365 +[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
366 +[CV] c1=1.3554102602892857, c2=0.04064106043794771, score=0.746345 - 1.1s
367 +[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
368 +[CV] c1=0.6885635276120627, c2=0.024418511748123376, score=0.865939 - 0.8s
369 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
370 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.876058 - 0.9s
371 +[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
372 +[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.804534 - 1.1s
373 +[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
374 +[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.794216 - 1.0s
375 +[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
376 +[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.894596 - 1.0s
377 +[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
378 +[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.774719 - 1.0s
379 +[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
380 +[CV] c1=0.6885635276120627, c2=0.024418511748123376, score=0.804678 - 0.8s
381 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
382 +[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.883209 - 1.2s
383 +[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
384 +[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.865939 - 1.1s
385 +[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
386 +[CV] c1=0.6870593229988403, c2=0.05265737914059501, score=0.623578 - 1.2s
387 +[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
388 +[CV] c1=0.6940531517638533, c2=0.05125577006946058, score=0.919477 - 1.1s
389 +[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
390 +[CV] c1=0.6885635276120627, c2=0.024418511748123376, score=0.672898 - 0.9s
391 +[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
392 +[CV] c1=0.37691263592010804, c2=0.010709701276127422, score=0.854844 - 1.1s
393 +[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
394 +[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.884863 - 1.3s
395 +[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
396 +[CV] c1=0.7400583455049986, c2=0.11089308616237473, score=0.790873 - 1.1s
397 +[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
398 +[CV] c1=1.3554102602892857, c2=0.04064106043794771, score=0.846283 - 1.1s
399 +[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
400 +[CV] c1=0.6885635276120627, c2=0.024418511748123376, score=0.839367 - 0.8s
401 +[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
402 +[CV] c1=1.5046786522259286, c2=0.10025629970071295, score=0.785357 - 1.0s
403 +[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
404 +[CV] c1=0.09740360970030945, c2=0.028519696998299794, score=0.794216 - 1.2s
405 +[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
406 +[CV] c1=0.7400583455049986, c2=0.11089308616237473, score=0.834999 - 1.2s
407 +[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
408 +[CV] c1=1.3554102602892857, c2=0.04064106043794771, score=0.703937 - 1.0s
409 +[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
410 +[CV] c1=0.6885635276120627, c2=0.024418511748123376, score=0.852253 - 0.8s
411 +Training done in: 7.112705s
412 + Saving training model...
413 + Saving training model done in: 0.013436s
414 +*********************************
415 +Prediction done in: 0.025684s
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: _v10
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003744s
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 word[: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 word[:1] d
40 +11 word[:2] de
41 +Fitting 10 folds for each of 20 candidates, totalling 200 fits
42 +[CV] c1=0.19934495558505577, c2=0.010637632177256148 .................
43 +[CV] c1=0.19934495558505577, c2=0.010637632177256148, score=0.900467 - 1.2s
44 +[CV] c1=0.4982058629999599, c2=0.006198006617897045 ..................
45 +[CV] c1=0.4982058629999599, c2=0.006198006617897045, score=0.825530 - 1.4s
46 +[CV] c1=0.3848418204399571, c2=0.0490844099596465 ....................
47 +[CV] c1=0.3848418204399571, c2=0.0490844099596465, score=0.825765 - 1.4s
48 +[CV] c1=0.2744903549388577, c2=0.005826833407596435 ..................
49 +[CV] c1=0.2744903549388577, c2=0.005826833407596435, score=0.857808 - 1.4s
50 +[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
51 +[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.949229 - 1.1s
52 +[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
53 +[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.750717 - 1.1s
54 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
55 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.822589 - 1.3s
56 +[CV] c1=0.3848418204399571, c2=0.0490844099596465 ....................
57 +[CV] c1=0.3848418204399571, c2=0.0490844099596465, score=0.926111 - 1.4s
58 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
59 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.867326 - 1.4s
60 +[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
61 +[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.861150 - 1.1s
62 +[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
63 +[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.636809 - 1.4s
64 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
65 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.762779 - 1.4s
66 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
67 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.949229 - 1.2s
68 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
69 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.753849 - 1.5s
70 +[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
71 +[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.874120 - 1.2s
72 +[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
73 +[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.905789 - 1.2s
74 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
75 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.825397 - 1.3s
76 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
77 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.828577 - 1.4s
78 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
79 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.922774 - 1.3s
80 +[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
81 +[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.849711 - 1.4s
82 +[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
83 +[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.830336 - 1.2s
84 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
85 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.941563 - 1.4s
86 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
87 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.924615 - 1.2s
88 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
89 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.865015 - 1.3s
90 +[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
91 +[CV] c1=0.21310787431780126, c2=0.011293437507544645, score=0.879247 - 1.4s
92 +[CV] c1=0.003814225451432829, c2=0.089206470981278 ...................
93 +[CV] c1=0.003814225451432829, c2=0.089206470981278, score=0.859994 - 1.2s
94 +[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
95 +[CV] c1=0.4120790146768621, c2=0.06811336809743664, score=0.830357 - 1.3s
96 +[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
97 +[CV] c1=0.6345283186223429, c2=0.12168650777470569, score=0.913871 - 1.2s
98 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
99 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.910267 - 1.2s
100 +[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
101 +[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.762779 - 1.3s
102 +[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
103 +[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.816562 - 1.2s
104 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
105 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.862778 - 1.4s
106 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
107 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.865015 - 1.4s
108 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
109 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.922662 - 1.4s
110 +[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
111 +[CV] c1=0.43856886108935933, c2=0.07988403179866013, score=0.860487 - 1.0s
112 +[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
113 +[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.857689 - 1.4s
114 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
115 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.849711 - 1.3s
116 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
117 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.849711 - 1.4s
118 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
119 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.849711 - 1.4s
120 +[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
121 +[CV] c1=0.43856886108935933, c2=0.07988403179866013, score=0.844928 - 1.1s
122 +[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
123 +[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.802949 - 1.5s
124 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
125 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.924615 - 1.3s
126 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
127 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.927954 - 1.6s
128 +[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
129 +[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.897132 - 1.3s
130 +[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
131 +[CV] c1=0.21310787431780126, c2=0.011293437507544645, score=0.821654 - 1.3s
132 +[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
133 +[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.874372 - 1.4s
134 +[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
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136 +[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
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138 +[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
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140 +[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
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142 +[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
143 +[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.842269 - 1.3s
144 +[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
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146 +[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
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148 +[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
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150 +[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
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152 +[CV] c1=0.003814225451432829, c2=0.089206470981278 ...................
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154 +[CV] c1=0.3323283838305798, c2=0.007002119097026294 ..................
155 +[CV] c1=0.3323283838305798, c2=0.007002119097026294, score=0.835700 - 1.3s
156 +[CV] c1=0.25950466232991165, c2=0.01977365441523948 ..................
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158 +[CV] c1=0.3888158389962884, c2=0.1590586327437522 ....................
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160 +[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
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162 +[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
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164 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
165 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.922774 - 1.3s
166 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
167 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.762779 - 1.3s
168 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
169 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.828577 - 1.5s
170 +[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
171 +[CV] c1=0.43856886108935933, c2=0.07988403179866013, score=0.819260 - 1.5s
172 +[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
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174 +[CV] c1=0.3323283838305798, c2=0.007002119097026294 ..................
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377 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.924057 - 1.4s
378 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
379 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.920347 - 1.3s
380 +[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
381 +[CV] c1=0.21310787431780126, c2=0.011293437507544645, score=0.949229 - 1.1s
382 +[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
383 +[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.762779 - 1.4s
384 +[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
385 +[CV] c1=0.4120790146768621, c2=0.06811336809743664, score=0.762779 - 1.3s
386 +[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
387 +[CV] c1=0.6345283186223429, c2=0.12168650777470569, score=0.803708 - 1.3s
388 +[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
389 +[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.821592 - 1.3s
390 +[CV] c1=0.19934495558505577, c2=0.010637632177256148 .................
391 +[CV] c1=0.19934495558505577, c2=0.010637632177256148, score=0.865015 - 1.4s
392 +[CV] c1=0.4982058629999599, c2=0.006198006617897045 ..................
393 +[CV] c1=0.4982058629999599, c2=0.006198006617897045, score=0.903005 - 1.4s
394 +[CV] c1=0.3848418204399571, c2=0.0490844099596465 ....................
395 +[CV] c1=0.3848418204399571, c2=0.0490844099596465, score=0.816050 - 1.4s
396 +[CV] c1=0.2744903549388577, c2=0.005826833407596435 ..................
397 +[CV] c1=0.2744903549388577, c2=0.005826833407596435, score=0.928927 - 1.2s
398 +[CV] c1=0.3200158533908076, c2=0.12353349840454286 ...................
399 +[CV] c1=0.3200158533908076, c2=0.12353349840454286, score=0.922662 - 1.1s
400 +[CV] c1=0.19934495558505577, c2=0.010637632177256148 .................
401 +[CV] c1=0.19934495558505577, c2=0.010637632177256148, score=0.845585 - 1.5s
402 +[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
403 +[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.966179 - 1.4s
404 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
405 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.822589 - 1.1s
406 +[CV] c1=0.2744903549388577, c2=0.005826833407596435 ..................
407 +[CV] c1=0.2744903549388577, c2=0.005826833407596435, score=0.901386 - 1.3s
408 +[CV] c1=0.3200158533908076, c2=0.12353349840454286 ...................
409 +[CV] c1=0.3200158533908076, c2=0.12353349840454286, score=0.862806 - 1.1s
410 +[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
411 +[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.841740 - 1.0s
412 +[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
413 +[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.710089 - 1.4s
414 +[CV] c1=0.4982058629999599, c2=0.006198006617897045 ..................
415 +[CV] c1=0.4982058629999599, c2=0.006198006617897045, score=0.926953 - 1.4s
416 +[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
417 +[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.949716 - 1.4s
418 +[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
419 +[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.822589 - 1.2s
420 +[CV] c1=0.3200158533908076, c2=0.12353349840454286 ...................
421 +[CV] c1=0.3200158533908076, c2=0.12353349840454286, score=0.820852 - 1.0s
422 +Training done in: 8.867335s
423 + Saving training model...
424 + Saving training model done in: 0.013562s
425 +*********************************
426 +Prediction done in: 0.033568s
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: _v10
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003659s
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=0.24755785273147432, c2=0.0030619502477866327 ................
45 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.795121 - 0.8s
46 +[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
47 +[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.794216 - 1.1s
48 +[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
49 +[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.955586 - 1.5s
50 +[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
51 +[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.844100 - 1.3s
52 +[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
53 +[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.936685 - 1.5s
54 +[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
55 +[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.799176 - 1.5s
56 +[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
57 +[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.922832 - 1.4s
58 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
59 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.857663 - 1.4s
60 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
61 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.809719 - 1.3s
62 +[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
63 +[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.864872 - 1.0s
64 +[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
65 +[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.879946 - 1.2s
66 +[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
67 +[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.740710 - 1.3s
68 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
69 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.856072 - 1.3s
70 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
71 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.799176 - 1.4s
72 +[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
73 +[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.676325 - 0.9s
74 +[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
75 +[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.935722 - 1.3s
76 +[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
77 +[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.870142 - 1.3s
78 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
79 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.674940 - 1.4s
80 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
81 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.657226 - 1.3s
82 +[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
83 +[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.928690 - 1.4s
84 +[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
85 +[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.567922 - 1.4s
86 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
87 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.818335 - 1.4s
88 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
89 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.851982 - 1.4s
90 +[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
91 +[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.777774 - 1.4s
92 +[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
93 +[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.927937 - 1.2s
94 +[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
95 +[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.819890 - 1.5s
96 +[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
97 +[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.818796 - 1.3s
98 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
99 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.876078 - 1.3s
100 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
101 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.830318 - 1.1s
102 +[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
103 +[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.856620 - 1.4s
104 +[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
105 +[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.820986 - 1.4s
106 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
107 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.927937 - 1.5s
108 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
109 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.936685 - 1.4s
110 +[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
111 +[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.863495 - 1.5s
112 +[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
113 +[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.799176 - 1.5s
114 +[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
115 +[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.926918 - 1.3s
116 +[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
117 +[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.791905 - 1.3s
118 +[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
119 +[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.866478 - 1.2s
120 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
121 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.903946 - 1.4s
122 +[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
123 +[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.928690 - 1.4s
124 +[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
125 +[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.826386 - 1.3s
126 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
127 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.845643 - 1.3s
128 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
129 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.926918 - 1.3s
130 +[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
131 +[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.805552 - 1.2s
132 +[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
133 +[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.930828 - 1.4s
134 +[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
135 +[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.684280 - 1.2s
136 +[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
137 +[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.927937 - 1.3s
138 +[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
139 +[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.799867 - 1.0s
140 +[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
141 +[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.808847 - 1.5s
142 +[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
143 +[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.767166 - 1.6s
144 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
145 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.911649 - 1.6s
146 +[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
147 +[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.721431 - 1.5s
148 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
149 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.941978 - 1.5s
150 +[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
151 +[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.876795 - 1.2s
152 +[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
153 +[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.696588 - 1.4s
154 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
155 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.816251 - 1.5s
156 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
157 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.928690 - 1.4s
158 +[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
159 +[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.813651 - 1.4s
160 +[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
161 +[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.839700 - 1.2s
162 +[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
163 +[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.879946 - 1.2s
164 +[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
165 +[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.687196 - 1.4s
166 +[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
167 +[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.921976 - 1.3s
168 +[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
169 +[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.759313 - 1.0s
170 +[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
171 +[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.904027 - 1.4s
172 +[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
173 +[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.683171 - 1.4s
174 +[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
175 +[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.683171 - 1.5s
176 +[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
177 +[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.799176 - 1.4s
178 +[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
179 +[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.926918 - 1.4s
180 +[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
181 +[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.849728 - 1.3s
182 +[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
183 +[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.926918 - 1.5s
184 +[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
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385 +[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.666006 - 1.4s
386 +[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
387 +[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.818018 - 1.4s
388 +[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
389 +[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.742498 - 1.3s
390 +[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
391 +[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.941978 - 0.9s
392 +[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
393 +[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.851982 - 1.2s
394 +[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
395 +[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.815542 - 1.6s
396 +[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
397 +[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.959931 - 1.4s
398 +[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
399 +[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.808847 - 1.4s
400 +[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
401 +[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.836868 - 1.0s
402 +[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
403 +[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.690777 - 1.5s
404 +[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
405 +[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.928690 - 1.4s
406 +[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
407 +[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.780680 - 1.5s
408 +[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
409 +[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.674636 - 1.4s
410 +[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
411 +[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.705243 - 1.1s
412 +[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
413 +[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.678668 - 1.4s
414 +[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
415 +[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.858405 - 1.4s
416 +[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
417 +[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.841947 - 1.3s
418 +[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
419 +[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.789760 - 1.5s
420 +[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
421 +[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.935212 - 1.0s
422 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
423 +[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.849047 - 0.8s
424 +[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
425 +[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.678668 - 1.2s
426 +[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
427 +[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.676325 - 1.3s
428 +[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
429 +[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.914914 - 1.3s
430 +[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
431 +[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.928690 - 1.3s
432 +[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
433 +[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.862849 - 1.0s
434 +Training done in: 9.095942s
435 + Saving training model...
436 + Saving training model done in: 0.014360s
437 +*********************************
438 +Prediction done in: 0.036528s
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: _v10
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003643s
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 word[: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 word[:1] d
46 +11 word[: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=0.6046210421342428, c2=0.0018704346879680148 .................
56 +[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.816050 - 1.6s
57 +[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
58 +[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.926953 - 1.7s
59 +[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
60 +[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.933744 - 1.7s
61 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
62 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.887494 - 1.6s
63 +[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
64 +[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.709618 - 1.3s
65 +[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
66 +[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.855428 - 1.4s
67 +[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
68 +[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.879162 - 1.5s
69 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
70 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.845321 - 1.6s
71 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
72 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.862696 - 1.5s
73 +[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
74 +[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.757732 - 1.7s
75 +[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
76 +[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.764025 - 1.7s
77 +[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
78 +[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.820536 - 1.7s
79 +[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
80 +[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.946184 - 1.8s
81 +[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
82 +[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.744402 - 0.9s
83 +[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
84 +[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.877385 - 1.8s
85 +[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
86 +[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.764655 - 1.6s
87 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
88 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.798251 - 1.4s
89 +[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
90 +[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.855428 - 1.6s
91 +[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
92 +[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.842326 - 1.3s
93 +[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
94 +[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.823547 - 1.8s
95 +[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
96 +[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.917533 - 1.6s
97 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
98 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.849461 - 1.6s
99 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
100 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.956017 - 1.7s
101 +[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
102 +[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.718760 - 1.1s
103 +[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
104 +[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.769157 - 1.6s
105 +[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
106 +[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.962317 - 1.6s
107 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
108 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.755875 - 1.7s
109 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
110 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.825397 - 1.7s
111 +[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
112 +[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.917914 - 1.7s
113 +[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
114 +[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.953924 - 1.4s
115 +[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
116 +[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.837545 - 1.4s
117 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
118 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.936979 - 1.7s
119 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
120 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.917533 - 1.5s
121 +[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
122 +[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.910399 - 1.2s
123 +[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
124 +[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.824698 - 1.5s
125 +[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
126 +[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.949229 - 1.5s
127 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
128 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.901481 - 1.5s
129 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
130 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.773844 - 1.6s
131 +[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
132 +[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.933539 - 1.4s
133 +[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
134 +[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.773844 - 1.6s
135 +[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
136 +[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.861150 - 1.6s
137 +[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
138 +[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.923280 - 1.5s
139 +[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
140 +[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.837545 - 1.3s
141 +[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
142 +[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.562594 - 1.3s
143 +[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
144 +[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.822589 - 1.5s
145 +[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
146 +[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.851303 - 1.6s
147 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
148 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.939878 - 1.7s
149 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
150 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.924709 - 1.5s
151 +[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
152 +[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.902555 - 1.7s
153 +[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
154 +[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.910399 - 1.5s
155 +[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
156 +[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.755875 - 1.6s
157 +[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
158 +[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.818139 - 1.4s
159 +[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
160 +[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.923280 - 1.2s
161 +[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
162 +[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.796199 - 1.5s
163 +[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
164 +[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.844380 - 1.6s
165 +[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
166 +[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.970312 - 1.6s
167 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
168 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.816050 - 1.7s
169 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
170 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.845585 - 1.7s
171 +[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
172 +[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.926953 - 1.5s
173 +[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
174 +[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.818277 - 1.5s
175 +[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
176 +[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.923280 - 1.4s
177 +[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
178 +[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.833612 - 1.3s
179 +[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
180 +[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.822589 - 1.1s
181 +[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
182 +[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.953924 - 1.6s
183 +[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
184 +[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.902555 - 1.5s
185 +[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
186 +[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.949229 - 1.6s
187 +[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
188 +[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.764655 - 1.6s
189 +[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
190 +[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.903957 - 1.7s
191 +[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
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390 +[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.870928 - 1.8s
391 +[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
392 +[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.929580 - 1.4s
393 +[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
394 +[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.848984 - 1.6s
395 +[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
396 +[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.867361 - 1.7s
397 +[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
398 +[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.840134 - 1.7s
399 +[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
400 +[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.764655 - 1.7s
401 +[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
402 +[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.927469 - 1.2s
403 +[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
404 +[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.956704 - 1.7s
405 +[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
406 +[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.793425 - 1.6s
407 +[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
408 +[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.936979 - 1.7s
409 +[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
410 +[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.868815 - 1.7s
411 +[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
412 +[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.789891 - 1.4s
413 +[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
414 +[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.807541 - 1.0s
415 +[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
416 +[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.856062 - 1.4s
417 +[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
418 +[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.816050 - 1.9s
419 +[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
420 +[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.773844 - 1.6s
421 +[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
422 +[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.953924 - 1.5s
423 +[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
424 +[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.926953 - 1.0s
425 +[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
426 +[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.829464 - 1.6s
427 +[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
428 +[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.900788 - 1.7s
429 +[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
430 +[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.851163 - 1.7s
431 +[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
432 +[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.866245 - 1.6s
433 +[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
434 +[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.817461 - 1.3s
435 +Training done in: 10.755133s
436 + Saving training model...
437 + Saving training model done in: 0.015111s
438 +*********************************
439 +Prediction done in: 0.045793s
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: _v10
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003733s
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=1.4038809296134227, c2=0.0037087674059544267 .................
38 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.612120 - 0.9s
39 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
40 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.884047 - 1.2s
41 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
42 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.835967 - 1.3s
43 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
44 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.892074 - 1.2s
45 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
46 +[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.782679 - 1.2s
47 +[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
48 +[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.941312 - 1.3s
49 +[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
50 +[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.942944 - 1.3s
51 +[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
52 +[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.836305 - 1.4s
53 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
54 +[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.891300 - 1.2s
55 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
56 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.866806 - 0.9s
57 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
58 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.722395 - 1.3s
59 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
60 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.924842 - 1.3s
61 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
62 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.722395 - 1.2s
63 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
64 +[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.697995 - 1.3s
65 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
66 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.773327 - 0.7s
67 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
68 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.850992 - 1.4s
69 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
70 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.722395 - 1.3s
71 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
72 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.796785 - 1.3s
73 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
74 +[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.620509 - 1.3s
75 +[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
76 +[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.880963 - 1.2s
77 +[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
78 +[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.806609 - 1.1s
79 +[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
80 +[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.830824 - 1.3s
81 +[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
82 +[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.672936 - 1.1s
83 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
84 +[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.806478 - 1.2s
85 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
86 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.855013 - 1.0s
87 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
88 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.842052 - 1.2s
89 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
90 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.850677 - 1.4s
91 +[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
92 +[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.694375 - 1.3s
93 +[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
94 +[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.884047 - 1.2s
95 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
96 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.694375 - 1.0s
97 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
98 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.864680 - 1.2s
99 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
100 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.850314 - 1.3s
101 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
102 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.954937 - 1.2s
103 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
104 +[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.783151 - 1.4s
105 +[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
106 +[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.888803 - 1.2s
107 +[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
108 +[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.911799 - 1.1s
109 +[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
110 +[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.722395 - 1.3s
111 +[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
112 +[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.731953 - 1.3s
113 +[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
114 +[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.864680 - 1.1s
115 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
116 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.813162 - 0.8s
117 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
118 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.796785 - 1.3s
119 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
120 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.903868 - 1.3s
121 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
122 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.913784 - 1.3s
123 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
124 +[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.925944 - 1.3s
125 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
126 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.799307 - 0.9s
127 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
128 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.925790 - 1.4s
129 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
130 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.843508 - 1.2s
131 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
132 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.889632 - 1.2s
133 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
134 +[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.806520 - 1.3s
135 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
136 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.906118 - 1.2s
137 +[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
138 +[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.720990 - 1.4s
139 +[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
140 +[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.894372 - 1.2s
141 +[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
142 +[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.870921 - 1.2s
143 +[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
144 +[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.796785 - 1.3s
145 +[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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147 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
148 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.935724 - 1.2s
149 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
150 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.942868 - 1.2s
151 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
152 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.842052 - 1.2s
153 +[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
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155 +[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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157 +[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
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159 +[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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161 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
162 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.942868 - 1.3s
163 +[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
164 +[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.850992 - 1.4s
165 +[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
166 +[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.717373 - 1.3s
167 +[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
168 +[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.858590 - 1.2s
169 +[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
170 +[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.925790 - 1.3s
171 +[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
172 +[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.795650 - 1.1s
173 +[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
174 +[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.927267 - 1.3s
175 +[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
176 +[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.835695 - 1.5s
177 +[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
178 +[CV] c1=0.07920069893418874, c2=0.005807967291107957, score=0.747086 - 1.2s
179 +[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
180 +[CV] c1=0.26371633815592305, c2=0.12274372539673989, score=0.815595 - 1.2s
181 +[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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383 +[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
384 +[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.772405 - 1.1s
385 +[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
386 +[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.847786 - 1.2s
387 +[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
388 +[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.876912 - 1.2s
389 +[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
390 +[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.722395 - 1.2s
391 +[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
392 +[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.692146 - 1.5s
393 +[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
394 +[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.945082 - 0.9s
395 +[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
396 +[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.782242 - 1.3s
397 +[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
398 +[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.732358 - 1.4s
399 +[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
400 +[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.954937 - 1.3s
401 +[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
402 +[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.914038 - 1.3s
403 +[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
404 +[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.849422 - 0.9s
405 +[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
406 +[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.848606 - 1.2s
407 +[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
408 +[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.896731 - 1.1s
409 +[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
410 +[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.796785 - 1.3s
411 +[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
412 +[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.787478 - 1.3s
413 +[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
414 +[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.840127 - 1.0s
415 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
416 +[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.743110 - 0.9s
417 +[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
418 +[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.954937 - 1.2s
419 +[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
420 +[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.872936 - 1.2s
421 +[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
422 +[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.897917 - 1.2s
423 +[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
424 +[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.939034 - 1.2s
425 +[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
426 +[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.816898 - 1.0s
427 +Training done in: 8.255246s
428 + Saving training model...
429 + Saving training model done in: 0.013229s
430 +*********************************
431 +Prediction done in: 0.030456s
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: _v10
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003691s
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 word[: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 word[:1] d
42 +11 word[: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=2.0772840450026786, c2=0.01612403394563899 ...................
49 +[CV] c1=2.0772840450026786, c2=0.01612403394563899, score=0.793425 - 1.4s
50 +[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
51 +[CV] c1=0.9447446796043686, c2=0.014950641482488432, score=0.867343 - 1.3s
52 +[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
53 +[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.690464 - 1.7s
54 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
55 +[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.927296 - 1.5s
56 +[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
57 +[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.865012 - 1.4s
58 +[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
59 +[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.929588 - 1.5s
60 +[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
61 +[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.794911 - 1.3s
62 +[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
63 +[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.879117 - 1.7s
64 +[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
65 +[CV] c1=1.2084188241795155, c2=0.05654297208049296, score=0.778490 - 1.3s
66 +[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
67 +[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.865854 - 1.4s
68 +[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
69 +[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.935899 - 1.4s
70 +[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
71 +[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.867343 - 1.4s
72 +[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
73 +[CV] c1=0.22034340464816077, c2=0.023290360446083555, score=0.821783 - 1.5s
74 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
75 +[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.939330 - 1.5s
76 +[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
77 +[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.853112 - 1.3s
78 +[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
79 +[CV] c1=0.16931667210800003, c2=0.01855789911042521, score=0.865456 - 1.4s
80 +[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
81 +[CV] c1=0.12921575529399648, c2=0.022522239009519832, score=0.894301 - 1.3s
82 +[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
83 +[CV] c1=0.09691034944164684, c2=0.004204871857834622, score=0.865456 - 1.3s
84 +[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
85 +[CV] c1=1.2084188241795155, c2=0.05654297208049296, score=0.894474 - 1.4s
86 +[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
87 +[CV] c1=0.15419879816724802, c2=0.012826859604695727, score=0.834907 - 1.3s
88 +[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
89 +[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.858859 - 1.4s
90 +[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
91 +[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.841065 - 1.3s
92 +[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
93 +[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.935899 - 1.6s
94 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
95 +[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.828226 - 1.6s
96 +[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
97 +[CV] c1=0.15419879816724802, c2=0.012826859604695727, score=0.854635 - 1.3s
98 +[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
99 +[CV] c1=2.0772840450026786, c2=0.01612403394563899, score=0.757614 - 1.4s
100 +[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
101 +[CV] c1=0.9447446796043686, c2=0.014950641482488432, score=0.812241 - 1.4s
102 +[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
103 +[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.835814 - 1.6s
104 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
105 +[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.879798 - 1.6s
106 +[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
107 +[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.700963 - 1.8s
108 +[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
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110 +[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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112 +[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
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114 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
115 +[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.798780 - 1.8s
116 +[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
117 +[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.835917 - 1.5s
118 +[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
119 +[CV] c1=2.0772840450026786, c2=0.01612403394563899, score=0.783001 - 1.5s
120 +[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
121 +[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.733105 - 1.6s
122 +[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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124 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
125 +[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.922662 - 1.6s
126 +[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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128 +[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
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130 +[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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132 +[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
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134 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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136 +[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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142 +[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
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144 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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146 +[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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148 +[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
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150 +[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
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158 +[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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160 +[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
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162 +[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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166 +[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
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170 +[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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172 +[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
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174 +[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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176 +[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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178 +[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
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180 +[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
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182 +[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
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184 +[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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186 +[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
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390 +[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
391 +[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.816538 - 1.4s
392 +[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
393 +[CV] c1=0.22034340464816077, c2=0.023290360446083555, score=0.951395 - 1.8s
394 +[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
395 +[CV] c1=0.2992471675291976, c2=0.04387206593008659, score=0.831561 - 1.6s
396 +[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
397 +[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.857572 - 1.2s
398 +[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
399 +[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.951395 - 1.7s
400 +[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
401 +[CV] c1=0.12921575529399648, c2=0.022522239009519832, score=0.935899 - 1.6s
402 +[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
403 +[CV] c1=0.16045199952287093, c2=0.03349544150437709, score=0.850847 - 1.4s
404 +[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
405 +[CV] c1=0.2992471675291976, c2=0.04387206593008659, score=0.921722 - 1.6s
406 +[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
407 +[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.683730 - 1.4s
408 +[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
409 +[CV] c1=0.16931667210800003, c2=0.01855789911042521, score=0.814557 - 1.6s
410 +[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
411 +[CV] c1=0.49390388777624017, c2=0.07495517296178955, score=0.857594 - 1.3s
412 +[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
413 +[CV] c1=0.16045199952287093, c2=0.03349544150437709, score=0.710879 - 1.5s
414 +[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
415 +[CV] c1=1.102798163509896, c2=0.07441446987912796, score=0.599896 - 1.5s
416 +[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
417 +[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.839397 - 1.3s
418 +[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
419 +[CV] c1=2.0772840450026786, c2=0.01612403394563899, score=0.825639 - 1.4s
420 +[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
421 +[CV] c1=0.9447446796043686, c2=0.014950641482488432, score=0.816538 - 1.5s
422 +[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
423 +[CV] c1=0.22034340464816077, c2=0.023290360446083555, score=0.911621 - 2.0s
424 +[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
425 +[CV] c1=0.2992471675291976, c2=0.04387206593008659, score=0.946103 - 1.7s
426 +[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
427 +[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.922662 - 1.3s
428 +Training done in: 9.974953s
429 + Saving training model...
430 + Saving training model done in: 0.014405s
431 +*********************************
432 +Prediction done in: 0.041326s
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: _v10
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003589s
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=0.5483816183090657, c2=0.007358724121889613 ..................
51 +[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.812004 - 1.8s
52 +[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
53 +[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.942897 - 1.7s
54 +[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
55 +[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.864398 - 1.4s
56 +[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
57 +[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.913784 - 1.6s
58 +[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
59 +[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.925023 - 1.5s
60 +[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
61 +[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.857259 - 1.7s
62 +[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
63 +[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.832339 - 1.5s
64 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
65 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.797155 - 1.5s
66 +[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
67 +[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.722085 - 1.3s
68 +[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
69 +[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.593248 - 1.5s
70 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
71 +[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.931991 - 1.5s
72 +[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
73 +[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.631304 - 1.6s
74 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
75 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.818750 - 1.5s
76 +[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
77 +[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.934247 - 1.5s
78 +[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
79 +[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.892921 - 1.5s
80 +[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
81 +[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.931991 - 1.4s
82 +[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
83 +[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.884219 - 1.4s
84 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
85 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.900039 - 1.5s
86 +[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
87 +[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.847604 - 1.4s
88 +[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
89 +[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.888803 - 1.4s
90 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
91 +[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.908106 - 1.5s
92 +[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
93 +[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.820419 - 1.6s
94 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
95 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.792413 - 1.5s
96 +[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
97 +[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.866353 - 1.1s
98 +[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
99 +[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.754354 - 1.6s
100 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
101 +[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.866353 - 1.5s
102 +[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
103 +[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.795729 - 1.7s
104 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
105 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.896776 - 1.6s
106 +[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
107 +[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.923188 - 1.5s
108 +[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
109 +[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.880703 - 1.3s
110 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
111 +[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.826748 - 1.6s
112 +[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
113 +[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.854874 - 1.5s
114 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
115 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.862900 - 1.6s
116 +[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
117 +[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.889632 - 1.4s
118 +[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
119 +[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.795935 - 1.5s
120 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
121 +[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.932685 - 1.5s
122 +[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
123 +[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.900039 - 1.7s
124 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
125 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.832762 - 1.5s
126 +[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
127 +[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.854811 - 1.5s
128 +[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
129 +[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.931991 - 1.6s
130 +[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
131 +[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.863001 - 1.6s
132 +[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
133 +[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.869996 - 1.5s
134 +[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
135 +[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.794118 - 1.3s
136 +[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
137 +[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.931991 - 1.5s
138 +[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
139 +[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.717781 - 1.6s
140 +[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
141 +[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.717781 - 1.6s
142 +[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
143 +[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.927267 - 1.5s
144 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
145 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.938179 - 1.4s
146 +[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
147 +[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.702261 - 1.7s
148 +[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
149 +[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.847604 - 1.7s
150 +[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
151 +[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.931991 - 1.5s
152 +[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
153 +[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.888803 - 1.4s
154 +[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
155 +[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.885973 - 1.3s
156 +[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
157 +[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.836597 - 1.5s
158 +[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
159 +[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.841763 - 1.8s
160 +[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
161 +[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.909826 - 1.6s
162 +[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
163 +[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.707282 - 1.5s
164 +[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
165 +[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.766544 - 1.5s
166 +[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
167 +[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.897630 - 1.4s
168 +[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
169 +[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.902216 - 1.5s
170 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
171 +[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.827578 - 1.6s
172 +[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
173 +[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.800618 - 1.7s
174 +[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
175 +[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.725502 - 1.3s
176 +[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
177 +[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.858211 - 1.5s
178 +[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
179 +[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.822379 - 1.8s
180 +[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
181 +[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.889602 - 1.3s
182 +[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
183 +[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.863344 - 1.6s
184 +[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
185 +[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.857036 - 1.4s
186 +[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
187 +[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.931991 - 1.4s
188 +[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
189 +[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.913784 - 1.5s
190 +[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
191 +[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.932685 - 1.6s
192 +[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
193 +[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.859339 - 1.6s
194 +[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
195 +[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.779870 - 1.3s
196 +[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
197 +[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.853767 - 1.4s
198 +[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
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200 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
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400 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
401 +[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.853767 - 1.5s
402 +[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
403 +[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.906331 - 1.4s
404 +[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
405 +[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.832339 - 1.3s
406 +[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
407 +[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.858557 - 1.1s
408 +[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
409 +[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.931991 - 1.1s
410 +[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
411 +[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.651310 - 1.4s
412 +[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
413 +[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.848517 - 1.5s
414 +[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
415 +[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.808180 - 1.5s
416 +[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
417 +[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.808180 - 1.5s
418 +[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
419 +[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.854811 - 1.1s
420 +[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
421 +[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.818254 - 1.6s
422 +[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
423 +[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.833325 - 1.6s
424 +[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
425 +[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.942868 - 1.7s
426 +[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
427 +[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.831708 - 1.7s
428 +[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
429 +[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.929748 - 1.1s
430 +[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
431 +[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.847332 - 1.6s
432 +[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
433 +[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.863001 - 1.6s
434 +[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
435 +[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.937977 - 1.6s
436 +[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
437 +[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.939034 - 1.8s
438 +[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
439 +[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.969518 - 1.2s
440 +Training done in: 10.136854s
441 + Saving training model...
442 + Saving training model done in: 0.013141s
443 +*********************************
444 +Prediction done in: 0.039379s
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: _v10
9 +Exclude symbols: False
10 +-------------------------------- PROCESSING --------------------------------
11 +Reading corpus...
12 + Sentences training data: 286
13 + Sentences test data: 123
14 +Reading corpus done in: 0.003613s
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 word[: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 word[:1] d
48 +11 word[: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=0.4420415052296795, c2=0.07721906671833131 ...................
62 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.856131 - 1.3s
63 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
64 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.850628 - 1.8s
65 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
66 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.855584 - 1.8s
67 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
68 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.805243 - 1.9s
69 +[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
70 +[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.860618 - 1.9s
71 +[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
72 +[CV] c1=0.7548748937747425, c2=0.01567613490693052, score=0.817562 - 1.5s
73 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
74 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.936699 - 1.8s
75 +[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
76 +[CV] c1=0.3472271220144462, c2=0.014176061322889857, score=0.839785 - 1.6s
77 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
78 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.940884 - 1.7s
79 +[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
80 +[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.880183 - 1.6s
81 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
82 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.946646 - 1.8s
83 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
84 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.904483 - 1.6s
85 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
86 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.931991 - 1.8s
87 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
88 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.927469 - 1.9s
89 +[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
90 +[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.831340 - 1.8s
91 +[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
92 +[CV] c1=0.4217142984283428, c2=0.1679065014088753, score=0.931991 - 1.8s
93 +[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
94 +[CV] c1=0.2336502013872894, c2=0.09318602763483955, score=0.860367 - 1.6s
95 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
96 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.931487 - 1.8s
97 +[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
98 +[CV] c1=0.15298119165388915, c2=0.018482656916134235, score=0.843262 - 1.9s
99 +[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
100 +[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.694284 - 1.7s
101 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
102 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.684520 - 1.4s
103 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
104 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.860618 - 1.7s
105 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
106 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.866388 - 2.0s
107 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
108 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.792923 - 1.8s
109 +[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
110 +[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.834495 - 2.0s
111 +[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
112 +[CV] c1=0.7548748937747425, c2=0.01567613490693052, score=0.823620 - 1.7s
113 +[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
114 +[CV] c1=0.2336502013872894, c2=0.09318602763483955, score=0.862461 - 1.6s
115 +[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
116 +[CV] c1=0.3472271220144462, c2=0.014176061322889857, score=0.835917 - 1.8s
117 +[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
118 +[CV] c1=0.15298119165388915, c2=0.018482656916134235, score=0.931991 - 1.6s
119 +[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
120 +[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.866388 - 1.5s
121 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
122 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.904483 - 1.5s
123 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
124 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.931991 - 1.7s
125 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
126 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.834436 - 1.8s
127 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
128 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.820947 - 1.7s
129 +[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
130 +[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.923585 - 2.2s
131 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
132 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.819500 - 1.7s
133 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
134 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.819500 - 1.7s
135 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
136 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.886301 - 1.6s
137 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
138 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.932900 - 1.9s
139 +[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
140 +[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.831561 - 1.8s
141 +[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
142 +[CV] c1=0.4217142984283428, c2=0.1679065014088753, score=0.859499 - 1.6s
143 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
144 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.950725 - 1.8s
145 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
146 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.919606 - 1.8s
147 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
148 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.876202 - 1.7s
149 +[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
150 +[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.922774 - 1.9s
151 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
152 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.922774 - 1.7s
153 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
154 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.857572 - 1.9s
155 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
156 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.854858 - 1.8s
157 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
158 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.816251 - 1.9s
159 +[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
160 +[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.932775 - 1.9s
161 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
162 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.873704 - 1.7s
163 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
164 +[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.848780 - 1.9s
165 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
166 +[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.867297 - 1.8s
167 +[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
168 +[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.852277 - 1.9s
169 +[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
170 +[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.946646 - 2.0s
171 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
172 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.936699 - 1.8s
173 +[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
174 +[CV] c1=0.2336502013872894, c2=0.09318602763483955, score=0.889913 - 1.7s
175 +[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
176 +[CV] c1=0.3472271220144462, c2=0.014176061322889857, score=0.872798 - 1.8s
177 +[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
178 +[CV] c1=0.15298119165388915, c2=0.018482656916134235, score=0.854009 - 1.8s
179 +[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
180 +[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.849184 - 1.8s
181 +[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
182 +[CV] c1=0.7548748937747425, c2=0.01567613490693052, score=0.922774 - 1.7s
183 +[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
184 +[CV] c1=0.8144879781785279, c2=0.024720227111225807, score=0.759900 - 1.4s
185 +[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
186 +[CV] c1=0.3472271220144462, c2=0.014176061322889857, score=0.834495 - 1.8s
187 +[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
188 +[CV] c1=0.15298119165388915, c2=0.018482656916134235, score=0.701018 - 1.8s
189 +[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
190 +[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.834436 - 1.9s
191 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
192 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.857572 - 2.0s
193 +[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
194 +[CV] c1=0.2336502013872894, c2=0.09318602763483955, score=0.701018 - 1.7s
195 +[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
196 +[CV] c1=0.3472271220144462, c2=0.014176061322889857, score=0.731222 - 2.0s
197 +[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
198 +[CV] c1=0.15298119165388915, c2=0.018482656916134235, score=0.881053 - 1.7s
199 +[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
200 +[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.931991 - 1.8s
201 +[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
202 +[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.848780 - 1.4s
203 +[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
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205 +[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
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405 +[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
406 +[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.965003 - 1.8s
407 +[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
408 +[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.827485 - 1.8s
409 +[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
410 +[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.793883 - 1.2s
411 +[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
412 +[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.929431 - 1.8s
413 +[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
414 +[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.811937 - 1.8s
415 +[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
416 +[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.878301 - 1.7s
417 +[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
418 +[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.932900 - 1.8s
419 +[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
420 +[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.928279 - 1.2s
421 +[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
422 +[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.872206 - 1.8s
423 +[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
424 +[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.917821 - 1.7s
425 +[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
426 +[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.694284 - 1.8s
427 +[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
428 +[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.834495 - 2.0s
429 +[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
430 +[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.851880 - 1.4s
431 +[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
432 +[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.854858 - 1.7s
433 +[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
434 +[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.827485 - 1.7s
435 +[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
436 +[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.931991 - 1.7s
437 +[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
438 +[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.781928 - 1.8s
439 +[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
440 +[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.607714 - 1.5s
441 +[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
442 +[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.834436 - 1.8s
443 +[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
444 +[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.932900 - 2.0s
445 +[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
446 +[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.939823 - 1.8s
447 +[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
448 +[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.819500 - 1.8s
449 +[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
450 +[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.799616 - 1.2s
451 +Training done in: 11.832994s
452 + Saving training model...
453 + Saving training model done in: 0.013243s
454 +*********************************
455 +Prediction done in: 0.046246s
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.024804754224065653, 'c2': 0.026332251363984482}
5 +best CV score:0.8626966953699922
6 +model size: 0.10M
7 +
8 +Flat F1: 0.7953444873529578
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 0.862 0.926 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 0.885 0.812 0.847 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.740 0.806 0.771 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.824 0.776 0.795 451
28 +
29 +
30 +Top likely transitions:
31 +Med -> Med 5.545764
32 +Temp -> Temp 5.118869
33 +Anti -> Anti 5.022474
34 +Supp -> Supp 4.944409
35 +Agit -> Agit 4.925593
36 +O -> O 4.888680
37 +OD -> OD 4.698686
38 +Gversion -> Gversion 4.350063
39 +Phase -> Phase 4.290854
40 +Gtype -> Gtype 4.215846
41 +Air -> Air 4.181005
42 +pH -> pH 2.956106
43 +Technique -> Technique 2.838587
44 +Substrain -> Gtype 1.873535
45 +Air -> O 1.516447
46 +O -> Supp 1.415331
47 +O -> Gtype 1.270233
48 +O -> Technique 1.261122
49 +Gtype -> Supp 1.190061
50 +Technique -> Air 0.959217
51 +Gtype -> Air 0.936830
52 +Gtype -> pH 0.853710
53 +O -> Temp 0.845524
54 +Supp -> O 0.704955
55 +O -> Anti 0.694667
56 +Med -> O 0.684291
57 +Temp -> O 0.625417
58 +Strain -> O 0.581167
59 +O -> Phase 0.421082
60 +O -> Vess 0.413494
61 +O -> pH 0.339073
62 +OD -> O 0.300062
63 +O -> Gversion 0.261830
64 +Vess -> O 0.192023
65 +pH -> O 0.184368
66 +O -> OD 0.116488
67 +Anti -> O 0.089973
68 +Phase -> O 0.051721
69 +O -> Med 0.019469
70 +O -> Agit 0.015049
71 +Phase -> Air 0.003425
72 +Agit -> O 0.002023
73 +O -> Substrain -0.000032
74 +Substrain -> Supp -0.002943
75 +Temp -> OD -0.004215
76 +Phase -> Temp -0.007335
77 +Phase -> pH -0.025090
78 +Agit -> Technique -0.025722
79 +Med -> Temp -0.029032
80 +Med -> pH -0.034229
81 +
82 +
83 +Top unlikely transitions:
84 +Phase -> Gtype -0.294057
85 +OD -> Technique -0.297711
86 +Technique -> O -0.306623
87 +Air -> OD -0.307225
88 +Gversion -> Gtype -0.310374
89 +Supp -> Phase -0.319140
90 +Gversion -> Air -0.333906
91 +pH -> Supp -0.335852
92 +Med -> Air -0.349176
93 +Gtype -> OD -0.377741
94 +Gversion -> Supp -0.404348
95 +Supp -> Gversion -0.405275
96 +Air -> Gtype -0.418074
97 +Technique -> Gversion -0.422829
98 +Anti -> Supp -0.435123
99 +Phase -> Med -0.453374
100 +Supp -> pH -0.462162
101 +Supp -> OD -0.467003
102 +OD -> Med -0.473832
103 +Phase -> Supp -0.489054
104 +Supp -> Technique -0.515059
105 +Anti -> Temp -0.526236
106 +Anti -> Med -0.565094
107 +Anti -> Gtype -0.573872
108 +Air -> Agit -0.584026
109 +O -> Air -0.598917
110 +Supp -> Gtype -0.641271
111 +OD -> Supp -0.659591
112 +Phase -> Technique -0.661699
113 +Gtype -> Technique -0.664240
114 +Supp -> Air -0.666549
115 +Technique -> Supp -0.698075
116 +Gtype -> Gversion -0.701157
117 +Temp -> Med -0.725327
118 +Agit -> Air -0.745117
119 +Air -> Supp -0.749135
120 +Gtype -> Anti -0.788528
121 +Supp -> Anti -0.838413
122 +OD -> Air -0.847265
123 +Air -> Temp -0.911031
124 +Technique -> OD -0.965718
125 +Air -> Phase -0.970480
126 +Air -> Med -0.991698
127 +Phase -> OD -1.016577
128 +Gtype -> Med -1.049535
129 +Supp -> Med -1.191676
130 +Technique -> pH -1.256688
131 +Substrain -> O -1.424097
132 +Technique -> Gtype -1.566747
133 +Med -> Supp -2.218671
134 +
135 +
136 +Top positive:
137 +7.776659 O b'lemma:_'
138 +5.975571 Supp b'lemma:Iron'
139 +5.907511 O b'lemma:2'
140 +5.710914 Phase b'lemma:mid-log'
141 +5.647215 Air b'lemma:anaerobic'
142 +5.345989 O b'lemma:1'
143 +5.262494 Air b'lemma:Aerobic'
144 +5.215827 Technique b'lemma:ChIP-exo'
145 +5.200674 Phase b'lemma:exponential'
146 +5.200674 Phase b'lemma:stationary'
147 +5.199049 Supp b'lemma:pq'
148 +5.112428 Technique b'lemma:chipseq'
149 +4.963988 Gtype b'lemma:wt'
150 +4.802177 Gtype b'lemma:\xce\xb4cra'
151 +4.761611 O b'lemma:3'
152 +4.603616 Gtype b'lemma:flag-tag'
153 +4.603616 Gtype b'-1:lemma:c-terminal'
154 +4.598900 Supp b'lemma:glucose'
155 +4.572147 O b'lemma:Cra'
156 +4.478959 Gversion b'lemma:asm584v2'
157 +4.462051 Med b'lemma:MOPS'
158 +4.432094 O b'lemma:rpob'
159 +4.402956 O b'lemma:-'
160 +4.395801 Gtype b'lemma:arca8myc'
161 +4.377686 O b'postag:IN'
162 +4.195141 Supp b'lemma:acetate'
163 +4.159898 O b'-1:lemma:tag'
164 +4.110268 O b'lemma:rep1'
165 +4.085656 Supp b'+1:lemma:\xc2\xb5m'
166 +4.013271 O b'lemma:b'
167 +3.973978 O b'lemma:rep3'
168 +3.961464 Air b'lemma:aerobic'
169 +3.871776 Supp b'lemma:nacl'
170 +3.858182 Gtype b'lemma:wild-type'
171 +3.858045 Supp b'lemma:nh4cl'
172 +3.841591 Supp b'lemma:no3'
173 +3.812132 O b'lemma:a'
174 +3.775627 Technique b'lemma:rna-seq'
175 +3.774431 Substrain b'lemma:mg1655'
176 +3.733252 Strain b'+1:lemma:substr'
177 +3.717605 Gtype b'lemma:fnr8myc'
178 +3.639440 Air b'-1:lemma:ChIP-Seq'
179 +3.635441 O b'lemma:rep2'
180 +3.605965 Supp b'-1:lemma:Cra'
181 +3.600877 Technique b'lemma:rnaseq'
182 +3.557392 Supp b'lemma:dpd'
183 +3.524445 Med b'lemma:lb'
184 +3.501719 O b'+1:lemma:pq'
185 +3.496865 Technique b'lemma:chip-seq'
186 +3.480585 Strain b'lemma:k-12'
187 +3.475081 Gtype b'lemma:delta-fnr'
188 +3.470758 Supp b'-1:lemma:with'
189 +3.470048 Anti b'lemma:none'
190 +3.469906 Med b'-1:lemma:ml'
191 +3.463179 O b'postag:VBN'
192 +3.451746 O b'-1:lemma:ChIP-exo'
193 +3.432020 Supp b'lemma:rifampicin'
194 +3.426582 O b'lemma:CEL'
195 +3.416815 Gtype b'lemma:type'
196 +3.406077 Supp b'+1:lemma:Deficient'
197 +3.398632 Air b'lemma:anaeroibc'
198 +3.388380 Air b'postag:RB'
199 +3.388370 O b'lemma:.'
200 +3.388370 O b'postag:.'
201 +3.371443 Gtype b'lemma:\xe2\x88\x86'
202 +3.357054 Anti b'lemma:\xcf\x8332'
203 +3.354154 Gtype b'+1:lemma:type'
204 +3.342879 Anti b'lemma:seqa'
205 +3.329824 O b'-1:lemma:glucose'
206 +3.324574 O b'lemma:Custom'
207 +3.300771 Gtype b'lemma:\xce\xb4fur'
208 +3.284311 Gtype b'lemma:\xce\xb4soxr'
209 +3.253912 O b'postag:CC'
210 +3.238363 Gtype b'-1:lemma:\xe2\x88\x86'
211 +3.210983 O b'lemma:ompr'
212 +3.144517 Gversion b'lemma:chip-seq'
213 +3.115739 Med b'+1:lemma:0.4'
214 +3.112118 O b'-1:lemma:lb'
215 +3.095696 Gtype b'lemma:delta-arca'
216 +3.089280 Air b'-1:lemma:-'
217 +3.088994 Gtype b'lemma:dfnr'
218 +3.086043 O b'lemma:\xcf\x8332'
219 +3.067881 Gversion b'lemma:nc'
220 +3.060922 O b'lemma:with'
221 +3.044778 O b'postag::'
222 +3.026219 Gtype b'+1:lemma:with'
223 +3.026177 Supp b'lemma:Leu'
224 +3.022500 Gtype b'lemma:WT'
225 +3.007071 O b'-1:lemma:0.3'
226 +2.991648 Supp b'-1:lemma:+'
227 +2.954869 O b'lemma:chip-arca'
228 +2.954041 O b'-1:lemma:stpa'
229 +2.923318 Phase b'lemma:phase'
230 +2.899089 Supp b'lemma:nitrate'
231 +2.892849 O b'lemma:affyexp'
232 +2.883565 Gtype b'+1:lemma:ph5'
233 +2.870173 Temp b'+1:lemma:in'
234 +2.870110 Supp b'-1:lemma:vol'
235 +2.867188 Vess b'lemma:flask'
236 +2.867188 Vess b'-1:lemma:warm'
237 +2.866190 Supp b'+1:lemma:1'
238 +2.839661 Supp b'lemma:Fe'
239 +2.826816 O b'lemma:s'
240 +2.806231 Med b'lemma:m63'
241 +2.799579 O b'-1:lemma:Aerobic'
242 +2.787436 O b'lemma:chip'
243 +2.772363 Anti b'lemma:anti-myc'
244 +2.760574 Air b'lemma:anaerobically'
245 +2.749559 O b'postag:VBG'
246 +2.746154 Gversion b'lemma:u00096'
247 +2.746154 Gversion b'+1:lemma:.2'
248 +2.725160 Gtype b'+1:lemma:pq'
249 +2.719444 Gtype b'lemma:\xce\xb4oxyr'
250 +2.718369 Agit b'lemma:rpm'
251 +2.713268 Temp b'-1:lemma:43'
252 +2.704978 pH b'lemma:ph5'
253 +2.704978 pH b'+1:lemma:.5'
254 +2.678136 OD b'lemma:od450'
255 +2.673757 Phase b'-1:lemma:mid-log'
256 +2.658189 Gversion b'lemma:000913'
257 +2.646163 Technique b'lemma:ChIP-Seq'
258 +2.638208 Supp b'lemma:Adenine'
259 +2.625538 Substrain b'+1:lemma:phtpg'
260 +2.623144 Supp b'lemma:arginine'
261 +2.622109 pH b'+1:postag:CD'
262 +2.620233 O b'+1:lemma:od600'
263 +2.619615 Technique b'-1:lemma:IP'
264 +2.614363 Substrain b'lemma:mg1655star'
265 +2.584166 Gversion b'lemma:.2'
266 +2.584166 Gversion b'-1:lemma:u00096'
267 +2.582884 O b'+1:lemma:or'
268 +2.578376 Agit b'+1:lemma:rpm'
269 +2.573834 O b'lemma:soxs'
270 +2.573834 O b'lemma:soxr'
271 +2.571090 O b'-1:lemma:type'
272 +2.570894 Gtype b'lemma:nsrr'
273 +2.564906 Gversion b'-1:lemma:nc'
274 +2.544758 Gtype b'-1:lemma:ptac'
275 +2.544060 Temp b'lemma:43'
276 +2.513790 Temp b'-1:lemma:\xcf\x8332'
277 +2.505626 O b'+1:lemma:anti-fur'
278 +2.485957 Gtype b'lemma:pk4854'
279 +2.464374 O b'lemma:harbor'
280 +2.459753 Med b'+1:lemma:2.0'
281 +2.455274 Supp b'lemma:1m'
282 +2.448776 O b'+1:lemma:arca-8myc'
283 +2.437104 Gtype b'lemma:\xce\xb4ompr'
284 +2.429234 O b'lemma:argr'
285 +2.422222 O b'+1:lemma:43'
286 +2.420882 O b'lemma::'
287 +2.400301 Med b'lemma:broth'
288 +2.400301 Med b'-1:lemma:L'
289 +2.396784 Temp b'lemma:\xc2\xb0c'
290 +2.387858 O b'lemma:csir'
291 +2.374023 O b'-1:lemma:into'
292 +2.372527 Med b'lemma:L'
293 +2.372527 Med b'+1:lemma:broth'
294 +2.369331 Temp b'+1:lemma:\xc2\xb0c'
295 +2.364183 Supp b'+1:lemma:2'
296 +2.361581 Supp b'lemma:fructose'
297 +2.343986 O b'lemma:at'
298 +2.343800 O b'+1:lemma:chip-seq'
299 +2.341893 Air b'lemma:aerobically'
300 +2.341609 Technique b'-1:lemma:chip-exo'
301 +2.333411 Gtype b'lemma:deltaseqa'
302 +2.333411 Gtype b'-1:lemma:old'
303 +2.331338 Supp b'-1:lemma:sodium'
304 +2.325489 Gtype b'-1:lemma:rpob'
305 +2.319371 O b'lemma:purr'
306 +2.316608 O b'-1:lemma:0.3-0.35'
307 +2.315695 Anti b'+1:lemma:antibody'
308 +2.314295 Air b'-1:postag::'
309 +2.307494 Gtype b'+1:lemma:flagtag'
310 +2.298263 O b'lemma:genotype/variation'
311 +2.282408 O b'+1:lemma:coli'
312 +2.270195 Supp b'+1:lemma:mm'
313 +2.255021 O b'-1:lemma:phase'
314 +2.251701 Gtype b'+1:lemma:_'
315 +2.240808 Gtype b'lemma:ptac'
316 +2.222334 O b'lemma:Lrp'
317 +2.213769 Gtype b'-1:postag:VBG'
318 +2.209438 Med b'lemma:media'
319 +2.205047 Gtype b'lemma:wildtype'
320 +2.197976 O b'+1:lemma:250'
321 +2.195683 Med b'-1:lemma:fresh'
322 +2.183406 O b'+1:lemma:acetate'
323 +2.173410 Temp b'-1:lemma:37'
324 +2.168454 O b'lemma:culture'
325 +2.162203 Technique b'+1:lemma:chip-exo'
326 +2.148760 Temp b'-1:lemma:sample'
327 +2.146904 Supp b'+1:lemma:deficient'
328 +2.134656 O b'lemma:agitation'
329 +2.129546 O b'lemma:chip-fnr'
330 +2.123198 Gtype b'-1:lemma:phtpg'
331 +2.107558 Technique b'postag:NNP'
332 +2.097464 Phase b'+1:lemma:for'
333 +2.094964 O b'lemma:Fur'
334 +2.087490 O b'-1:lemma:media'
335 +2.083663 Med b'lemma:minimal'
336 +2.083660 O b'+1:postag:RB'
337 +
338 +
339 +Top negative:
340 +-0.174984 Gtype b'+1:lemma:a'
341 +-0.175111 O b'lemma:\xce\xb4ompr'
342 +-0.176457 O b'-1:lemma:phosphate'
343 +-0.178044 O b'-1:lemma:um'
344 +-0.178044 O b'+1:lemma:paraquat'
345 +-0.181336 O b'+1:lemma:0.3'
346 +-0.181512 O b'-1:postag:VBP'
347 +-0.185291 Temp b'postag:JJ'
348 +-0.188594 Air b'-1:postag:VBN'
349 +-0.190205 O b'lemma:1m'
350 +-0.191849 OD b'+1:lemma:0.4'
351 +-0.193985 O b'+1:lemma:-lcb-'
352 +-0.208435 O b'-1:lemma:with'
353 +-0.212946 O b'+1:lemma:pk4854'
354 +-0.226805 O b'lemma:150'
355 +-0.226805 O b'+1:lemma:mg/ml'
356 +-0.230522 Supp b'-1:postag:VBN'
357 +-0.232012 O b'+1:lemma:%'
358 +-0.233366 Med b'+1:postag:NNS'
359 +-0.235908 Supp b'lemma:-lrb-'
360 +-0.237406 O b'+1:lemma:delta'
361 +-0.237640 O b'+1:lemma:mg1655'
362 +-0.242684 O b'+1:postag:FW'
363 +-0.245254 O b'lemma:250'
364 +-0.247303 Technique b'-1:lemma::'
365 +-0.256478 Supp b'+1:postag::'
366 +-0.264983 O b'+1:lemma:antibody'
367 +-0.269912 Supp b'postag:-LRB-'
368 +-0.274283 Air b'lemma:,'
369 +-0.274283 Air b'postag:,'
370 +-0.275591 O b'-1:lemma:affinity'
371 +-0.277397 O b'+1:lemma:~'
372 +-0.277798 O b'+1:lemma:dissolve'
373 +-0.284360 O b'+1:lemma:1/100'
374 +-0.285004 O b'+1:lemma:-rrb-'
375 +-0.289757 O b'+1:lemma:min'
376 +-0.291019 O b'+1:lemma:.'
377 +-0.291019 O b'+1:postag:.'
378 +-0.291324 O b'+1:lemma:ph'
379 +-0.293067 O b'+1:lemma:contain'
380 +-0.294747 Supp b'postag:CC'
381 +-0.295296 O b'-1:lemma:sodium'
382 +-0.305162 O b'lemma:glucose'
383 +-0.306210 Gtype b'+1:lemma:-lrb-'
384 +-0.306561 Air b'-1:postag:JJ'
385 +-0.306990 O b'-1:lemma:-lrb-'
386 +-0.308709 O b'lemma:medium'
387 +-0.314476 Gtype b'-1:postag:CD'
388 +-0.319661 O b'+1:lemma:95'
389 +-0.323711 O b'lemma:n2'
390 +-0.323841 Gtype b'-1:postag:DT'
391 +-0.328426 Gtype b'postag::'
392 +-0.329445 Supp b'-1:lemma:.'
393 +-0.329445 Supp b'-1:postag:.'
394 +-0.331488 Phase b'+1:postag:NN'
395 +-0.344945 Gtype b'+1:lemma:\xe2\x88\x86'
396 +-0.348101 Med b'+1:postag:NN'
397 +-0.354035 O b'-1:postag:-LRB-'
398 +-0.355550 O b'-1:lemma:purify'
399 +-0.364834 O b'lemma:fecl2'
400 +-0.365459 O b'-1:lemma:contain'
401 +-0.366207 Phase b'-1:lemma:at'
402 +-0.370185 O b'-1:lemma:g/l'
403 +-0.371566 O b'lemma:dissolve'
404 +-0.387878 O b'lemma:od600'
405 +-0.391543 O b'+1:lemma:rep2'
406 +-0.401392 Med b'-1:postag:NN'
407 +-0.411862 OD b'+1:lemma:in'
408 +-0.420984 O b'+1:lemma:m'
409 +-0.423597 O b'-1:lemma:250'
410 +-0.428355 Supp b'-1:lemma:dpd'
411 +-0.431875 O b'+1:lemma:arginine'
412 +-0.432941 Med b'lemma:-lrb-'
413 +-0.448225 Supp b'+1:lemma:glucose'
414 +-0.475541 O b'-1:lemma:cra'
415 +-0.485416 O b'-1:lemma:~'
416 +-0.488327 O b'-1:postag:IN'
417 +-0.490690 O b'+1:lemma:c'
418 +-0.501823 Gtype b'lemma:control'
419 +-0.518147 O b'lemma:m'
420 +-0.520898 O b'-1:lemma:chip-exo'
421 +-0.520911 O b'-1:lemma:1m'
422 +-0.530972 Air b'postag:CD'
423 +-0.533615 Med b'+1:postag:IN'
424 +-0.533950 O b'+1:lemma:Aerobic'
425 +-0.535032 O b'+1:postag:IN'
426 +-0.537990 Med b'postag:CD'
427 +-0.552230 Supp b'-1:postag:NNP'
428 +-0.554504 O b'-1:lemma:iptg'
429 +-0.560648 Technique b'-1:postag::'
430 +-0.569323 Temp b'-1:lemma:\xc2\xb0c'
431 +-0.587750 O b'lemma:ph'
432 +-0.589612 O b'lemma:c'
433 +-0.599532 O b'+1:lemma:gadw'
434 +-0.600196 pH b'postag:NN'
435 +-0.604905 O b'+1:lemma:for'
436 +-0.609268 Med b'postag:-LRB-'
437 +-0.618702 Med b'-1:postag:IN'
438 +-0.619269 O b'lemma:minimal'
439 +-0.629693 O b'lemma:20'
440 +-0.631990 O b'-1:lemma:from'
441 +-0.642428 O b'lemma:fructose'
442 +-0.643103 O b'+1:lemma:_'
443 +-0.648865 O b'+1:lemma:supplement'
444 +-0.654014 O b'lemma:m63'
445 +-0.654637 Med b'-1:postag:CD'
446 +-0.656946 O b'+1:postag:-RRB-'
447 +-0.662949 O b'lemma:mid-log'
448 +-0.667280 Gtype b'lemma:delta'
449 +-0.671297 O b'lemma:nh4cl'
450 +-0.673779 Gtype b'-1:lemma:mg1655'
451 +-0.676356 Supp b'-1:lemma:-lrb-'
452 +-0.676911 O b'+1:lemma:gade'
453 +-0.680909 Supp b'+1:postag:VBN'
454 +-0.700244 O b'+1:postag:VBG'
455 +-0.713869 Supp b'+1:lemma:dpd'
456 +-0.718506 O b'lemma:aerobically'
457 +-0.729253 Supp b'-1:postag:-LRB-'
458 +-0.747512 O b'lemma:anaerobic'
459 +-0.750112 O b'lemma:of'
460 +-0.759612 O b'lemma:purify'
461 +-0.811688 O b'-1:lemma:mm'
462 +-0.815880 O b'postag:RB'
463 +-0.833362 O b'-1:lemma:m'
464 +-0.839191 Temp b'postag:NN'
465 +-0.842880 O b'lemma:oxyr-8myc'
466 +-0.843811 Phase b'postag:JJ'
467 +-0.846319 Supp b'+1:lemma:rifampicin'
468 +-0.855050 O b'-1:lemma:37'
469 +-0.894989 O b'lemma:37'
470 +-0.896970 O b'lemma:\xe2\x88\x86'
471 +-0.897433 O b'-1:lemma:dfnr'
472 +-0.903317 O b'-1:lemma:delta'
473 +-0.927725 O b'-1:lemma:n2'
474 +-0.928830 Anti b'+1:lemma:anti-fur'
475 +-0.933781 O b'lemma:soxs-8myc'
476 +-0.969007 O b'+1:lemma:until'
477 +-1.006131 O b'-1:lemma:final'
478 +-1.030646 O b'+1:lemma:at'
479 +-1.065596 Air b'-1:lemma:or'
480 +-1.067927 Supp b'lemma:10'
481 +-1.089953 O b'-1:lemma:dissolve'
482 +-1.089953 O b'+1:lemma:methanol'
483 +-1.101429 Supp b'postag::'
484 +-1.103920 O b'lemma:anaerobically'
485 +-1.138517 O b'lemma:k-12'
486 +-1.144078 O b'lemma:nitrate'
487 +-1.155284 O b'+1:lemma:g/l'
488 +-1.191494 O b'+1:lemma:1m'
489 +-1.196211 O b'-1:lemma:ph'
490 +-1.201813 O b'lemma:methanol'
491 +-1.231550 O b'-1:lemma:1'
492 +-1.253084 O b'lemma:30'
493 +-1.253161 OD b'+1:postag:NN'
494 +-1.258208 O b'-1:lemma:30'
495 +-1.265784 O b'lemma:2h'
496 +-1.265784 O b'-1:lemma:additional'
497 +-1.271069 Supp b'postag:JJ'
498 +-1.272675 Supp b'+1:lemma:nacl'
499 +-1.283136 Gtype b'postag:VBG'
500 +-1.288901 O b'-1:lemma:co2'
501 +-1.309636 Supp b'+1:lemma:acetate'
502 +-1.356245 O b'-1:lemma:\xe2\x88\x86'
503 +-1.424461 O b'lemma:wt'
504 +-1.425479 O b'lemma:media'
505 +-1.438386 O b'-1:lemma:rpob'
506 +-1.441853 Supp b'+1:lemma:fructose'
507 +-1.450682 O b'-1:lemma:until'
508 +-1.496752 O b'-1:lemma:nsrr'
509 +-1.503723 O b'-1:lemma:sample'
510 +-1.537683 Air b'postag:NN'
511 +-1.565620 O b'-1:postag::'
512 +-1.606129 O b'lemma:\xce\xb4fur'
513 +-1.611875 O b'lemma:nitrogen'
514 +-1.617485 O b'+1:lemma:mm'
515 +-1.634468 O b'lemma:aerobic'
516 +-1.689765 O b'-1:lemma:2'
517 +-1.720709 O b'+1:lemma:2.0'
518 +-1.752075 O b'postag:VBP'
519 +-1.758371 Phase b'-1:postag:JJ'
520 +-1.794596 Air b'+1:postag:JJ'
521 +-1.810302 Anti b'postag:NNP'
522 +-1.816064 O b'+1:lemma:in'
523 +-1.816300 Supp b'+1:lemma:-lrb-'
524 +-1.825172 O b'-1:lemma:ml'
525 +-1.873304 Supp b'+1:postag:-LRB-'
526 +-1.964431 O b'lemma:0.3'
527 +-2.003409 Supp b'+1:lemma:,'
528 +-2.003409 Supp b'+1:postag:,'
529 +-2.036747 O b'+1:lemma:+'
530 +-2.046421 Temp b'+1:postag:IN'
531 +-2.066376 O b'-1:lemma:fresh'
532 +-2.082420 O b'+1:lemma:1'
533 +-2.240298 O b'-1:postag:VBG'
534 +-2.287095 O b'-1:lemma:IP'
535 +-2.453890 O b'-1:lemma:vol'
536 +-2.551419 O b'lemma:rifampicin'
537 +-2.585186 O b'+1:lemma:2'
538 +-3.289500 O b'-1:lemma:_'
539 +-3.739594 O b'-1:lemma::'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.0669479769366607, 'c2': 0.03552427653715395}
5 +best CV score:0.8806802697362962
6 +model size: 0.10M
7 +
8 +Flat F1: 0.8120536430169567
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 0.724 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 0.543 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 0.897 0.824 0.859 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.845 0.813 0.829 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.859 0.776 0.812 451
28 +
29 +
30 +Top likely transitions:
31 +Agit -> Agit 5.730270
32 +Temp -> Temp 5.261959
33 +Supp -> Supp 5.111767
34 +OD -> OD 4.977486
35 +Med -> Med 4.943896
36 +Anti -> Anti 4.412265
37 +Phase -> Phase 4.353663
38 +O -> O 4.349582
39 +Gtype -> Gtype 4.162337
40 +Air -> Air 4.071838
41 +Gversion -> Gversion 3.889029
42 +Technique -> Technique 3.450549
43 +pH -> pH 2.429439
44 +Air -> O 1.278594
45 +Substrain -> Gtype 1.152727
46 +O -> Technique 1.138561
47 +O -> Supp 1.024054
48 +O -> Gtype 0.772226
49 +Supp -> O 0.646228
50 +Gtype -> Supp 0.519928
51 +O -> Temp 0.504171
52 +Temp -> O 0.481115
53 +Strain -> O 0.334947
54 +Technique -> Air 0.324028
55 +O -> Phase 0.301154
56 +pH -> O 0.231769
57 +Med -> O 0.204250
58 +Gtype -> Air 0.166981
59 +Phase -> O 0.107485
60 +OD -> O 0.025617
61 +O -> Anti 0.015100
62 +O -> pH 0.001727
63 +Agit -> O 0.000970
64 +Med -> Air -0.000105
65 +Gtype -> Phase -0.001446
66 +Technique -> Anti -0.022195
67 +Temp -> Med -0.022384
68 +Anti -> Air -0.027064
69 +Anti -> pH -0.032063
70 +Anti -> Med -0.071242
71 +Gtype -> Temp -0.074067
72 +Supp -> pH -0.076320
73 +Technique -> Gversion -0.076908
74 +Supp -> Air -0.088988
75 +Gversion -> Supp -0.092556
76 +Phase -> Gtype -0.093077
77 +Air -> Agit -0.104036
78 +Gtype -> OD -0.125259
79 +O -> Med -0.171632
80 +Anti -> Supp -0.191856
81 +
82 +
83 +Top unlikely transitions:
84 +Agit -> O 0.000970
85 +Med -> Air -0.000105
86 +Gtype -> Phase -0.001446
87 +Technique -> Anti -0.022195
88 +Temp -> Med -0.022384
89 +Anti -> Air -0.027064
90 +Anti -> pH -0.032063
91 +Anti -> Med -0.071242
92 +Gtype -> Temp -0.074067
93 +Supp -> pH -0.076320
94 +Technique -> Gversion -0.076908
95 +Supp -> Air -0.088988
96 +Gversion -> Supp -0.092556
97 +Phase -> Gtype -0.093077
98 +Air -> Agit -0.104036
99 +Gtype -> OD -0.125259
100 +O -> Med -0.171632
101 +Anti -> Supp -0.191856
102 +OD -> Supp -0.193758
103 +Anti -> Gtype -0.221899
104 +Technique -> Supp -0.236281
105 +Supp -> Anti -0.250851
106 +Supp -> Gversion -0.251041
107 +Air -> Med -0.255356
108 +Anti -> Temp -0.270943
109 +Agit -> Air -0.311453
110 +Gversion -> O -0.315475
111 +Phase -> Supp -0.321570
112 +OD -> Technique -0.323122
113 +Supp -> Gtype -0.353133
114 +Phase -> OD -0.387122
115 +Gtype -> Gversion -0.394249
116 +Technique -> Gtype -0.412211
117 +Air -> Supp -0.516212
118 +Phase -> Technique -0.516308
119 +Gtype -> Technique -0.539638
120 +Technique -> pH -0.542821
121 +Gtype -> O -0.557687
122 +Air -> Phase -0.577013
123 +Supp -> Technique -0.675489
124 +OD -> Air -0.707177
125 +Technique -> O -0.707975
126 +Gtype -> Anti -0.709674
127 +Technique -> OD -0.723625
128 +Gtype -> Med -0.763138
129 +O -> Air -0.792010
130 +Air -> Temp -0.840769
131 +Substrain -> O -1.160694
132 +Supp -> Med -1.290121
133 +Med -> Supp -1.935474
134 +
135 +
136 +Top positive:
137 +5.197607 O b'lemma:2'
138 +4.343474 O b'word[:2]:re'
139 +4.324248 O b'-1:lemma:tag'
140 +4.211985 O b'lemma:3'
141 +4.205982 Air b'word[:2]:Ae'
142 +4.179659 O b'postag:IN'
143 +3.998448 O b'lemma:_'
144 +3.998448 O b'word[:1]:_'
145 +3.980939 Gtype b'word[:1]:\xce\x94'
146 +3.962691 O b'lemma:1'
147 +3.896975 Air b'lemma:anaerobic'
148 +3.606216 O b'lemma:a'
149 +3.591195 Technique b'word[:2]:Ch'
150 +3.572533 Air b'word[:2]:An'
151 +3.429263 Supp b'+1:lemma:\xc2\xb5m'
152 +3.284877 Supp b'-1:lemma:Cra'
153 +3.217008 O b'postag::'
154 +3.211581 Phase b'lemma:mid-log'
155 +3.140992 O b'lemma:.'
156 +3.140992 O b'postag:.'
157 +3.054409 Gtype b'-1:lemma:\xe2\x88\x86'
158 +3.047239 Gtype b'lemma:arca8myc'
159 +3.031972 Supp b'-1:lemma:with'
160 +3.031526 Supp b'lemma:Iron'
161 +3.031526 Supp b'word[:2]:Ir'
162 +2.991347 O b'lemma:with'
163 +2.982445 O b'lemma:-'
164 +2.956803 O b'postag:CC'
165 +2.926083 Supp b'-1:lemma:vol'
166 +2.918832 O b'+1:lemma:pq'
167 +2.903495 Supp b'word[:1]:I'
168 +2.883995 O b'-1:lemma:glucose'
169 +2.867408 O b'-1:lemma:lb'
170 +2.864405 O b'word[:1]:S'
171 +2.852569 Gtype b'lemma:wt'
172 +2.849941 Air b'postag:RB'
173 +2.776348 O b'-1:lemma:0.3'
174 +2.602950 Supp b'lemma:arginine'
175 +2.580441 O b'word[:2]:ge'
176 +2.565736 Gtype b'word[:2]:Fl'
177 +2.549904 O b'postag:VBN'
178 +2.541503 Med b'word[:1]:M'
179 +2.498908 OD b'word[:1]:O'
180 +2.495287 O b'word[:2]:Cr'
181 +2.484677 Phase b'lemma:stationary'
182 +2.483306 Strain b'+1:lemma:substr'
183 +2.457405 pH b'word[:2]:pH'
184 +2.456365 Supp b'lemma:pq'
185 +2.456365 Supp b'word[:2]:PQ'
186 +2.439095 O b'lemma:delta'
187 +2.396366 Technique b'word[:2]:RN'
188 +2.395719 Supp b'word[:2]:ni'
189 +2.386055 O b'-1:lemma:Aerobic'
190 +2.383149 Supp b'+1:lemma:1'
191 +2.337551 Gtype b'word[:1]:d'
192 +2.326720 Supp b'lemma:acetate'
193 +2.325394 Supp b'-1:lemma:+'
194 +2.316784 Med b'lemma:MOPS'
195 +2.316784 Med b'word[:2]:MO'
196 +2.281531 Temp b'+1:lemma:in'
197 +2.271226 Air b'word[:1]:A'
198 +2.270613 Substrain b'word[:2]:MG'
199 +2.248219 O b'word[:1]:G'
200 +2.216505 Supp b'lemma:nacl'
201 +2.208674 O b'word[:1]:B'
202 +2.199231 Med b'-1:lemma:ml'
203 +2.195586 O b'word[:2]:Rp'
204 +2.168321 O b'-1:lemma:stpa'
205 +2.152429 Supp b'-1:lemma:sodium'
206 +2.145539 O b'lemma:argr'
207 +2.134901 Substrain b'word[:1]:M'
208 +2.133413 Air b'word[:2]:an'
209 +2.120670 Gtype b'lemma:type'
210 +2.120670 Gtype b'word[:2]:ty'
211 +2.118126 Med b'word[:1]:L'
212 +2.105700 O b'lemma:Nac'
213 +2.100072 O b'lemma:purr'
214 +2.087072 Gtype b'word[:1]:W'
215 +2.068635 O b'lemma:ompr'
216 +2.068635 O b'word[:2]:Om'
217 +2.063173 Supp b'+1:lemma:mm'
218 +2.060411 O b'+1:lemma:od600'
219 +2.057816 O b'word[:2]:ch'
220 +2.051673 Gtype b'word[:2]:Ar'
221 +2.022062 Gtype b'-1:lemma:_'
222 +2.010318 Supp b'lemma:sodium'
223 +2.008903 Supp b'word[:2]:ac'
224 +2.006175 Technique b'word[:1]:R'
225 +2.003588 Gtype b'lemma:flag-tag'
226 +2.003588 Gtype b'-1:lemma:c-terminal'
227 +2.001858 Anti b'+1:lemma:antibody'
228 +2.001849 Gtype b'hGreek'
229 +1.999056 Phase b'word[:2]:ex'
230 +1.996110 O b'lemma:b'
231 +1.988243 Gtype b'lemma:nsrr'
232 +1.988243 Gtype b'word[:2]:Ns'
233 +1.982191 Supp b'+1:lemma:phosphate'
234 +1.976855 Temp b'-1:lemma:\xcf\x8332'
235 +1.966179 Technique b'word[:1]:C'
236 +1.938678 Supp b'word[:2]:Fe'
237 +1.938022 Anti b'word[:2]:an'
238 +1.932248 Supp b'-1:postag:CC'
239 +1.911063 Phase b'word[:1]:e'
240 +1.907821 Gversion b'lemma:asm584v2'
241 +1.907821 Gversion b'word[:2]:AS'
242 +1.905625 O b'postag:DT'
243 +1.897238 O b'-1:lemma:into'
244 +1.896923 O b'-1:lemma:0.3-0.35'
245 +1.892887 Gversion b'-1:lemma:nc'
246 +1.874980 Supp b'+1:lemma:2'
247 +1.874512 Air b'+1:postag:IN'
248 +1.873185 O b'lemma:Custom'
249 +1.873101 O b'word[:2]:Cu'
250 +1.872862 O b'word[:1]:c'
251 +1.868647 O b'+1:lemma:or'
252 +1.867229 Gtype b'+1:lemma:type'
253 +1.864929 Med b'+1:lemma:0.4'
254 +1.846915 O b'lemma:A'
255 +1.836827 O b'-1:lemma:anaerobic'
256 +1.829081 Supp b'lemma:rifampicin'
257 +1.821988 Supp b'word[:2]:ri'
258 +1.820197 Air b'-1:lemma:ChIP-Seq'
259 +1.819408 pH b'+1:postag:CD'
260 +1.813057 Gversion b'lemma:chip-seq'
261 +1.808900 Phase b'-1:lemma:mid-log'
262 +1.800361 Supp b'lemma:Leu'
263 +1.800361 Supp b'word[:2]:Le'
264 +1.799360 Supp b'word[:2]:gl'
265 +1.793727 Gtype b'word[:1]:w'
266 +1.791679 O b'word[:1]:E'
267 +1.789827 Air b'-1:lemma:-'
268 +1.779400 Supp b'+1:lemma:min'
269 +1.777560 Gtype b'word[:2]:cr'
270 +1.777381 Technique b'lemma:ChIP-exo'
271 +1.773352 O b'word[:1]:R'
272 +1.772804 O b'+1:lemma:250'
273 +1.772220 Gversion b'word[:2]:00'
274 +1.767331 Supp b'-1:lemma:final'
275 +1.765950 O b'-1:lemma:type'
276 +1.751683 O b'postag:VBG'
277 +1.747918 O b'word[:2]:ha'
278 +1.733991 Gtype b'word[:2]:PK'
279 +1.733248 O b'+1:lemma:mid-log'
280 +1.721176 O b'word[:2]:Pu'
281 +1.718066 Technique b'lemma:chipseq'
282 +1.715045 O b'+1:postag:RB'
283 +1.714257 Supp b'lemma:Fe'
284 +1.712494 O b'+1:lemma:sparging'
285 +1.710768 Gversion b'lemma:nc'
286 +1.710768 Gversion b'word[:2]:NC'
287 +1.706907 O b'-1:lemma:phase'
288 +1.695825 Air b'-1:lemma:co2'
289 +1.693473 Gtype b'word[:1]:F'
290 +1.693330 Gtype b'word[:1]:t'
291 +1.689604 O b'lemma:\xcf\x8332'
292 +1.689604 O b'word[:1]:\xcf\x83'
293 +1.689604 O b'word[:2]:\xcf\x833'
294 +1.687943 Gtype b'+1:lemma:flagtag'
295 +1.687830 Strain b'-1:lemma:.'
296 +1.687830 Strain b'-1:postag:.'
297 +1.680651 Gtype b'+1:lemma:_'
298 +1.676295 Gtype b'-1:postag:VBG'
299 +1.672589 Gtype b'symb'
300 +1.668599 Gtype b'word[:2]:WT'
301 +1.667990 Med b'-1:lemma:fresh'
302 +1.664383 Temp b'-1:lemma:43'
303 +1.654146 O b'lemma:rpob'
304 +1.652234 Strain b'lemma:k-12'
305 +1.652234 Strain b'word[:2]:K-'
306 +1.648550 Supp b'word[:2]:30'
307 +1.648025 Med b'lemma:broth'
308 +1.648025 Med b'-1:lemma:L'
309 +1.648025 Med b'word[:2]:br'
310 +1.646791 Supp b'lemma:fructose'
311 +1.643771 Anti b'-1:lemma::'
312 +1.634632 Med b'lemma:L'
313 +1.634632 Med b'+1:lemma:broth'
314 +1.627352 O b'word[:2]:In'
315 +1.622224 Air b'lemma:Aerobic'
316 +1.621209 Strain b'word[:1]:K'
317 +1.618073 Phase b'-1:lemma:until'
318 +1.612647 Air b'word[:1]:a'
319 +1.611079 O b'word[:1]:C'
320 +1.610394 O b'+1:lemma:arca-8myc'
321 +1.595786 Supp b'-1:lemma:contain'
322 +1.594864 Gtype b'lemma:\xe2\x88\x86'
323 +1.594864 Gtype b'word[:1]:\xe2\x88\x86'
324 +1.583723 Air b'lemma:aerobic'
325 +1.581020 O b'-1:lemma:wt'
326 +1.580311 O b'word[:1]:a'
327 +1.577732 Temp b'-1:lemma:sample'
328 +1.576145 Technique b'lemma:rnaseq'
329 +1.571124 O b'+1:postag:NNP'
330 +1.560522 O b'-1:lemma:media'
331 +1.558793 O b'+1:lemma:chip-seq'
332 +1.555710 Supp b'lemma:dpd'
333 +1.555710 Supp b'word[:2]:DP'
334 +1.548557 O b'lemma:at'
335 +1.545932 Phase b'word[:2]:st'
336 +1.535531 Gtype b'word[:2]:ga'
337 +
338 +
339 +Top negative:
340 +-0.222385 O b'-1:lemma:n2'
341 +-0.223068 Med b'-1:postag:NN'
342 +-0.229421 O b'lemma:nitrogen'
343 +-0.229586 Air b'+1:lemma:-lrb-'
344 +-0.235112 Supp b'+1:postag::'
345 +-0.236341 O b'-1:lemma:of'
346 +-0.239334 pH b'postag:NN'
347 +-0.246473 O b'lemma:of'
348 +-0.246473 O b'word[:2]:of'
349 +-0.248678 Gtype b'+1:postag:CD'
350 +-0.250091 O b'lemma:k-12'
351 +-0.250091 O b'word[:2]:K-'
352 +-0.250281 O b'-1:postag:IN'
353 +-0.250791 OD b'hUpper'
354 +-0.250791 OD b'hLower'
355 +-0.252179 O b'-1:lemma:dfnr'
356 +-0.254406 O b'+1:lemma:sample'
357 +-0.255303 Gtype b'word[:1]:g'
358 +-0.256791 Air b'-1:postag:CC'
359 +-0.257558 Supp b'postag:CC'
360 +-0.261584 O b'-1:lemma:sodium'
361 +-0.263082 O b'+1:lemma:m'
362 +-0.263509 Air b'+1:postag:NNS'
363 +-0.266301 O b'-1:lemma:phosphate'
364 +-0.266984 O b'lemma:minimal'
365 +-0.274317 O b'lemma:glucose'
366 +-0.277606 O b'-1:lemma:with'
367 +-0.282203 O b'word[:2]:0.'
368 +-0.288431 O b'lemma:150'
369 +-0.288431 O b'+1:lemma:mg/ml'
370 +-0.288431 O b'word[:2]:15'
371 +-0.289147 Gtype b'word[:1]:N'
372 +-0.289611 Gtype b'word[:1]:h'
373 +-0.292168 OD b'+1:lemma:0.4'
374 +-0.293694 Anti b'lemma:antibody'
375 +-0.296743 Air b'-1:postag:VBN'
376 +-0.305504 O b'lemma:20'
377 +-0.309832 O b'word[:2]:gl'
378 +-0.313652 O b'lemma:\xe2\x88\x86'
379 +-0.313652 O b'word[:1]:\xe2\x88\x86'
380 +-0.315980 Gtype b'-1:lemma:-lrb-'
381 +-0.318705 OD b'symb'
382 +-0.320576 O b'lemma:1m'
383 +-0.320576 O b'word[:2]:1M'
384 +-0.323557 O b'lemma:oxyr-8myc'
385 +-0.333499 O b'lemma:control'
386 +-0.336999 O b'+1:lemma:.'
387 +-0.336999 O b'+1:postag:.'
388 +-0.338184 Supp b'word[:2]:an'
389 +-0.339759 Supp b'-1:lemma:%'
390 +-0.341972 O b'lemma:sodium'
391 +-0.350224 O b'+1:lemma:-rrb-'
392 +-0.357360 Gtype b'+1:lemma:-lrb-'
393 +-0.359089 O b'-1:postag:-LRB-'
394 +-0.359269 Supp b'+1:lemma:rifampicin'
395 +-0.361354 Phase b'+1:postag:NN'
396 +-0.369958 O b'-1:lemma:g/l'
397 +-0.370938 O b'+1:lemma:ph'
398 +-0.380417 O b'-1:lemma:control'
399 +-0.393185 O b'+1:lemma:1/100'
400 +-0.401365 O b'+1:lemma:arginine'
401 +-0.402963 Gtype b'postag:VBG'
402 +-0.406830 Technique b'-1:lemma::'
403 +-0.407359 O b'word[:1]:d'
404 +-0.408895 O b'+1:postag:-RRB-'
405 +-0.410325 O b'word[:2]:cr'
406 +-0.414862 O b'lemma:media'
407 +-0.417218 Supp b'lemma:1'
408 +-0.421741 Air b'+1:postag:JJ'
409 +-0.422308 Air b'symb'
410 +-0.424867 O b'lemma:purify'
411 +-0.426894 O b'+1:lemma:phosphate'
412 +-0.427754 Med b'-1:postag:CD'
413 +-0.432980 O b'-1:lemma:mm'
414 +-0.439910 Gtype b'word[:1]:A'
415 +-0.452411 Supp b'-1:lemma:dpd'
416 +-0.458153 O b'word[:2]:OD'
417 +-0.458602 Supp b'+1:lemma:nacl'
418 +-0.460350 O b'-1:lemma:delta'
419 +-0.460942 Gtype b'postag::'
420 +-0.461016 O b'+1:postag:VBG'
421 +-0.466602 O b'+1:lemma:supplement'
422 +-0.469862 Temp b'postag:NN'
423 +-0.479736 O b'word[:2]:ae'
424 +-0.482738 O b'-1:lemma:250'
425 +-0.495883 O b'-1:lemma:37'
426 +-0.497098 O b'-1:lemma:1m'
427 +-0.499515 Supp b'+1:lemma:fructose'
428 +-0.499529 O b'-1:lemma:iptg'
429 +-0.509960 Anti b'+1:lemma:anti-fur'
430 +-0.519769 O b'lemma:37'
431 +-0.519769 O b'word[:2]:37'
432 +-0.522094 O b'lemma:fructose'
433 +-0.522953 O b'lemma:aerobically'
434 +-0.529231 O b'+1:lemma:for'
435 +-0.535592 Agit b'hUpper'
436 +-0.535592 Agit b'hLower'
437 +-0.542571 Supp b'-1:lemma:-lrb-'
438 +-0.543730 Temp b'-1:lemma:\xc2\xb0c'
439 +-0.544383 O b'word[:1]:0'
440 +-0.549506 Technique b'-1:postag::'
441 +-0.551118 Supp b'+1:lemma:acetate'
442 +-0.566147 O b'-1:lemma:cra'
443 +-0.569703 O b'word[:1]:4'
444 +-0.572560 O b'word[:2]:ce'
445 +-0.574858 Supp b'postag:CD'
446 +-0.595300 O b'+1:postag:IN'
447 +-0.599638 Supp b'-1:postag:NNP'
448 +-0.605965 O b'word[:1]:M'
449 +-0.612343 Agit b'symb'
450 +-0.615100 O b'+1:lemma:_'
451 +-0.618065 O b'-1:lemma:30'
452 +-0.631349 Supp b'-1:postag:-LRB-'
453 +-0.639788 O b'-1:lemma:\xe2\x88\x86'
454 +-0.646356 O b'lemma:mid-log'
455 +-0.668003 O b'lemma:2h'
456 +-0.668003 O b'-1:lemma:additional'
457 +-0.668003 O b'word[:2]:2h'
458 +-0.672963 Temp b'hGreek'
459 +-0.687801 Gtype b'+1:lemma:-rrb-'
460 +-0.688426 O b'lemma:aerobic'
461 +-0.690108 Med b'+1:postag:IN'
462 +-0.690593 Gtype b'word[:1]:-'
463 +-0.696545 O b'+1:lemma:antibody'
464 +-0.697177 Med b'symb'
465 +-0.699587 O b'lemma:anaerobically'
466 +-0.699918 O b'+1:lemma:1m'
467 +-0.707099 O b'word[:1]:F'
468 +-0.708674 O b'word[:2]:30'
469 +-0.745965 O b'word[:1]:K'
470 +-0.785524 Supp b'+1:postag:VBN'
471 +-0.788643 O b'lemma:soxs-8myc'
472 +-0.799607 O b'-1:lemma:dissolve'
473 +-0.799607 O b'+1:lemma:methanol'
474 +-0.800538 O b'-1:lemma:IP'
475 +-0.808177 O b'word[:2]:mg'
476 +-0.823560 O b'+1:lemma:at'
477 +-0.823819 Med b'-1:postag:IN'
478 +-0.829683 Gtype b'lemma:delta'
479 +-0.834314 O b'+1:lemma:until'
480 +-0.834554 Gtype b'-1:lemma:mg1655'
481 +-0.837477 Phase b'hUpper'
482 +-0.837477 Phase b'hLower'
483 +-0.875134 O b'lemma:wt'
484 +-0.892468 O b'+1:lemma:rep2'
485 +-0.900925 O b'lemma:c'
486 +-0.911577 Supp b'symb'
487 +-0.935276 O b'lemma:methanol'
488 +-0.939294 O b'word[:2]:me'
489 +-0.951862 Gtype b'word[:1]:C'
490 +-0.957544 O b'lemma:0.3'
491 +-0.961774 O b'-1:lemma:ph'
492 +-0.982702 O b'word[:2]:ri'
493 +-0.994311 O b'word[:2]:pH'
494 +-1.000643 Air b'-1:postag:JJ'
495 +-1.002379 Anti b'postag:NNP'
496 +-1.008594 O b'+1:lemma:+'
497 +-1.024921 O b'+1:lemma:mm'
498 +-1.026429 Air b'-1:lemma:or'
499 +-1.033879 O b'postag:RB'
500 +-1.050623 O b'+1:lemma:g/l'
501 +-1.061501 OD b'+1:postag:NN'
502 +-1.074979 O b'-1:lemma:rpob'
503 +-1.085560 O b'-1:lemma:1'
504 +-1.090454 O b'-1:lemma:final'
505 +-1.092753 Technique b'postag:NN'
506 +-1.092846 O b'lemma:rifampicin'
507 +-1.102416 O b'-1:lemma:nsrr'
508 +-1.118910 Supp b'word[:1]:C'
509 +-1.163411 O b'word[:2]:ni'
510 +-1.202046 O b'postag:VBP'
511 +-1.209582 O b'-1:postag::'
512 +-1.218263 O b'-1:lemma:until'
513 +-1.238993 Air b'postag:NN'
514 +-1.263449 Supp b'hGreek'
515 +-1.265029 O b'word[:1]:N'
516 +-1.315756 O b'+1:lemma:2.0'
517 +-1.323803 O b'word[:2]:fl'
518 +-1.379566 O b'-1:lemma:ml'
519 +-1.421957 Phase b'postag:JJ'
520 +-1.437134 Supp b'postag:JJ'
521 +-1.444357 O b'-1:lemma:sample'
522 +-1.460302 O b'-1:lemma:co2'
523 +-1.585483 Phase b'-1:postag:JJ'
524 +-1.638491 O b'-1:postag:VBG'
525 +-1.655599 O b'-1:lemma:fresh'
526 +-1.660989 O b'+1:lemma:1'
527 +-1.668500 Supp b'+1:lemma:-lrb-'
528 +-1.694618 Supp b'+1:postag:-LRB-'
529 +-1.706414 O b'-1:lemma:2'
530 +-1.722864 O b'+1:lemma:in'
531 +-1.841815 Temp b'+1:postag:IN'
532 +-1.876180 O b'word[:1]:P'
533 +-1.904317 Supp b'+1:lemma:,'
534 +-1.904317 Supp b'+1:postag:,'
535 +-2.088295 O b'word[:2]:Ch'
536 +-2.262332 O b'+1:lemma:2'
537 +-2.592460 O b'-1:lemma:vol'
538 +-3.316905 O b'-1:lemma:_'
539 +-4.428349 O b'-1:lemma::'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.15406215902868822, 'c2': 0.04226744278958694}
5 +best CV score:0.8596370019235678
6 +model size: 0.12M
7 +
8 +Flat F1: 0.7628595463981331
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 0.675 0.806 0.735 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.793 0.752 0.763 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 5.110459
32 +Agit -> Agit 5.017935
33 +Anti -> Anti 4.938650
34 +OD -> OD 4.825556
35 +Supp -> Supp 4.712858
36 +Gtype -> Gtype 4.678424
37 +Med -> Med 4.638385
38 +Gversion -> Gversion 4.224640
39 +Air -> Air 4.223412
40 +O -> O 3.873161
41 +Phase -> Phase 3.806018
42 +Technique -> Technique 3.527725
43 +pH -> pH 2.599944
44 +Gtype -> Supp 1.497521
45 +Substrain -> Gtype 1.352716
46 +O -> Gtype 1.238587
47 +O -> Supp 1.162728
48 +Air -> O 1.113709
49 +O -> Technique 1.086494
50 +Gtype -> Air 0.890610
51 +Technique -> Air 0.790851
52 +Gtype -> pH 0.476347
53 +Supp -> O 0.342000
54 +O -> Temp 0.264657
55 +Med -> O 0.256803
56 +Temp -> O 0.225939
57 +O -> Anti 0.129094
58 +O -> OD 0.005737
59 +O -> Phase 0.003554
60 +Supp -> Air -0.000004
61 +Anti -> O -0.000506
62 +O -> Agit -0.012375
63 +Technique -> OD -0.029963
64 +Phase -> O -0.035227
65 +Air -> Temp -0.053461
66 +Supp -> Gtype -0.074666
67 +O -> Med -0.080001
68 +Air -> Phase -0.085473
69 +Phase -> Supp -0.126042
70 +Agit -> O -0.135568
71 +Technique -> O -0.155818
72 +Gtype -> Med -0.295463
73 +Phase -> OD -0.308398
74 +Gtype -> Anti -0.318100
75 +Technique -> pH -0.318842
76 +OD -> Air -0.391856
77 +Gtype -> O -0.411784
78 +O -> Air -0.438824
79 +Supp -> Med -0.713976
80 +Technique -> Gtype -0.921584
81 +
82 +
83 +Top unlikely transitions:
84 +Anti -> Anti 4.938650
85 +OD -> OD 4.825556
86 +Supp -> Supp 4.712858
87 +Gtype -> Gtype 4.678424
88 +Med -> Med 4.638385
89 +Gversion -> Gversion 4.224640
90 +Air -> Air 4.223412
91 +O -> O 3.873161
92 +Phase -> Phase 3.806018
93 +Technique -> Technique 3.527725
94 +pH -> pH 2.599944
95 +Gtype -> Supp 1.497521
96 +Substrain -> Gtype 1.352716
97 +O -> Gtype 1.238587
98 +O -> Supp 1.162728
99 +Air -> O 1.113709
100 +O -> Technique 1.086494
101 +Gtype -> Air 0.890610
102 +Technique -> Air 0.790851
103 +Gtype -> pH 0.476347
104 +Supp -> O 0.342000
105 +O -> Temp 0.264657
106 +Med -> O 0.256803
107 +Temp -> O 0.225939
108 +O -> Anti 0.129094
109 +O -> OD 0.005737
110 +O -> Phase 0.003554
111 +Supp -> Air -0.000004
112 +Anti -> O -0.000506
113 +O -> Agit -0.012375
114 +Technique -> OD -0.029963
115 +Phase -> O -0.035227
116 +Air -> Temp -0.053461
117 +Supp -> Gtype -0.074666
118 +O -> Med -0.080001
119 +Air -> Phase -0.085473
120 +Phase -> Supp -0.126042
121 +Agit -> O -0.135568
122 +Technique -> O -0.155818
123 +Gtype -> Med -0.295463
124 +Phase -> OD -0.308398
125 +Gtype -> Anti -0.318100
126 +Technique -> pH -0.318842
127 +OD -> Air -0.391856
128 +Gtype -> O -0.411784
129 +O -> Air -0.438824
130 +Supp -> Med -0.713976
131 +Technique -> Gtype -0.921584
132 +Substrain -> O -1.113692
133 +Med -> Supp -1.471991
134 +
135 +
136 +Top positive:
137 +4.749372 Air b'word:Aerobic'
138 +4.524583 O b'lemma:_'
139 +4.524583 O b'word:_'
140 +4.098279 Air b'lemma:anaerobic'
141 +3.877804 O b'postag:IN'
142 +3.595104 O b'word:Cra'
143 +3.530479 O b'postag::'
144 +3.410481 Technique b'word:ChIP-Seq'
145 +3.231475 Air b'postag:RB'
146 +3.216656 Gtype b'lemma:wt'
147 +3.136173 Gtype b'lemma:wild-type'
148 +3.108997 Technique b'word:ChIP-exo'
149 +3.044194 O b'-1:lemma:ChIP-exo'
150 +2.991141 Air b'word:Anaerobic'
151 +2.905621 Supp b'lemma:nh4cl'
152 +2.900437 Technique b'word:ChIPSeq'
153 +2.896382 Technique b'lemma:ChIP-exo'
154 +2.892866 Gtype b'word:WT'
155 +2.840495 Supp b'lemma:Iron'
156 +2.840495 Supp b'word:Iron'
157 +2.840495 Supp b'+1:word:Deficient'
158 +2.808087 O b'lemma:2'
159 +2.808087 O b'word:2'
160 +2.787965 Phase b'lemma:mid-log'
161 +2.787965 Phase b'word:mid-log'
162 +2.749236 Supp b'lemma:pq'
163 +2.749236 Supp b'word:PQ'
164 +2.657709 Technique b'lemma:rna-seq'
165 +2.573610 O b'lemma:rpob'
166 +2.573610 O b'word:RpoB'
167 +2.535672 Supp b'-1:word:Cra'
168 +2.480323 O b'postag:CC'
169 +2.478905 O b'lemma:1'
170 +2.478905 O b'word:1'
171 +2.437366 Gversion b'lemma:asm584v2'
172 +2.437366 Gversion b'word:ASM584v2'
173 +2.416156 Strain b'+1:lemma:substr'
174 +2.416156 Strain b'+1:word:substr'
175 +2.414892 O b'lemma:-'
176 +2.414892 O b'word:-'
177 +2.342731 O b'lemma:3'
178 +2.342731 O b'word:3'
179 +2.332854 O b'lemma:.'
180 +2.332854 O b'postag:.'
181 +2.332854 O b'word:.'
182 +2.332241 Gtype b'lemma:type'
183 +2.332241 Gtype b'word:type'
184 +2.300103 Gtype b'lemma:\xce\xb4cra'
185 +2.297195 Gtype b'word:\xce\x94cra'
186 +2.292746 Med b'lemma:MOPS'
187 +2.292746 Med b'word:MOPS'
188 +2.285733 Technique b'lemma:chipseq'
189 +2.278904 Supp b'+1:lemma:\xc2\xb5m'
190 +2.278904 Supp b'+1:word:\xc2\xb5M'
191 +2.247697 O b'lemma:a'
192 +2.221104 O b'lemma:chip'
193 +2.208674 O b'-1:lemma:tag'
194 +2.169172 Gtype b'+1:lemma:type'
195 +2.169172 Gtype b'+1:word:type'
196 +2.090683 O b'lemma:Custom'
197 +2.090683 O b'word:Custom'
198 +2.057527 Phase b'lemma:exponential'
199 +2.057527 Phase b'word:exponential'
200 +2.057527 Phase b'lemma:stationary'
201 +2.057527 Phase b'word:stationary'
202 +2.052897 Supp b'lemma:glucose'
203 +2.052897 Supp b'word:glucose'
204 +2.046732 O b'lemma:b'
205 +2.046732 O b'word:B'
206 +2.046220 pH b'+1:postag:CD'
207 +2.039388 Air b'word:anaerobic'
208 +2.024557 O b'postag:VBN'
209 +1.999765 O b'-1:word:tag'
210 +1.998647 Gtype b'-1:postag:VBG'
211 +1.985487 Supp b'lemma:nacl'
212 +1.985487 Supp b'word:NaCl'
213 +1.972682 Substrain b'lemma:mg1655'
214 +1.972682 Substrain b'word:MG1655'
215 +1.936337 Supp b'lemma:arginine'
216 +1.923159 Gtype b'lemma:flag-tag'
217 +1.923159 Gtype b'-1:lemma:c-terminal'
218 +1.923159 Gtype b'word:Flag-tag'
219 +1.923159 Gtype b'-1:word:C-terminal'
220 +1.916724 Gversion b'lemma:nc'
221 +1.916724 Gversion b'word:NC'
222 +1.913111 O b'+1:word:were'
223 +1.902708 Agit b'+1:lemma:rpm'
224 +1.902708 Agit b'+1:word:rpm'
225 +1.898835 Strain b'lemma:k-12'
226 +1.898835 Strain b'word:K-12'
227 +1.890731 Technique b'lemma:rnaseq'
228 +1.890731 Technique b'word:RNASeq'
229 +1.878930 Supp b'lemma:nitrate'
230 +1.878930 Supp b'word:nitrate'
231 +1.876600 Gtype b'lemma:delta-fnr'
232 +1.876600 Gtype b'word:delta-fnr'
233 +1.871969 O b'+1:lemma:pq'
234 +1.871969 O b'+1:word:PQ'
235 +1.852036 O b'+1:postag:RB'
236 +1.844216 Supp b'lemma:acetate'
237 +1.844216 Supp b'word:acetate'
238 +1.808898 O b'-1:word:Aerobic'
239 +1.797382 Technique b'-1:lemma:chip-exo'
240 +1.794780 O b'word:A'
241 +1.780521 Supp b'lemma:rifampicin'
242 +1.780521 Supp b'word:rifampicin'
243 +1.778273 Gtype b'-1:lemma:\xe2\x88\x86'
244 +1.778273 Gtype b'-1:word:\xe2\x88\x86'
245 +1.771797 Supp b'-1:lemma:with'
246 +1.771797 Supp b'-1:word:with'
247 +1.768638 O b'lemma:ompr'
248 +1.768638 O b'word:OmpR'
249 +1.733628 O b'+1:postag:NNP'
250 +1.710033 Gtype b'lemma:\xe2\x88\x86'
251 +1.710033 Gtype b'word:\xe2\x88\x86'
252 +1.709664 Gtype b'lemma:arca8myc'
253 +1.709664 Gtype b'word:ArcA8myc'
254 +1.705119 Supp b'-1:lemma:Cra'
255 +1.699139 O b'+1:word:ChIP-Seq'
256 +1.687699 O b'lemma:rep1'
257 +1.687699 O b'word:rep1'
258 +1.687382 Gtype b'postag:-LRB-'
259 +1.664564 O b'isLower'
260 +1.628461 Vess b'lemma:flask'
261 +1.628461 Vess b'-1:lemma:warm'
262 +1.628461 Vess b'word:flask'
263 +1.628461 Vess b'-1:word:warmed'
264 +1.625452 Gtype b'+1:lemma:ph5'
265 +1.625452 Gtype b'+1:word:pH5'
266 +1.614155 O b'lemma:rep3'
267 +1.614155 O b'word:rep3'
268 +1.604080 Agit b'lemma:rpm'
269 +1.604080 Agit b'word:rpm'
270 +1.598554 Gversion b'-1:lemma:nc'
271 +1.598554 Gversion b'-1:word:NC'
272 +1.595352 Gtype b'lemma:pk4854'
273 +1.595352 Gtype b'word:PK4854'
274 +1.594618 O b'-1:lemma:lb'
275 +1.594618 O b'-1:word:LB'
276 +1.573032 Anti b'lemma:seqa'
277 +1.573032 Anti b'word:SeqA'
278 +1.572524 Med b'+1:lemma:0.4'
279 +1.572524 Med b'+1:word:0.4'
280 +1.562391 Gtype b'postag:NN'
281 +1.542677 Gtype b'word:cra'
282 +1.526806 O b'lemma:culture'
283 +1.526423 Air b'lemma:aerobic'
284 +1.513795 Med b'-1:lemma:ml'
285 +1.513795 Med b'-1:word:ml'
286 +1.512620 Gtype b'lemma:\xce\xb4soxr'
287 +1.512620 Gtype b'word:\xce\x94soxR'
288 +1.507915 O b'lemma:Cra'
289 +1.506239 Med b'isUpper'
290 +1.484419 Air b'-1:postag::'
291 +1.474572 Phase b'isLower'
292 +1.473040 Gversion b'lemma:chip-seq'
293 +1.473008 Gtype b'+1:lemma:with'
294 +1.473008 Gtype b'+1:word:with'
295 +1.471321 Air b'lemma:anaeroibc'
296 +1.471321 Air b'word:Anaeroibc'
297 +1.469722 Supp b'lemma:no3'
298 +1.469722 Supp b'word:NO3'
299 +1.461978 Supp b'-1:lemma:+'
300 +1.461978 Supp b'-1:word:+'
301 +1.456064 O b'-1:lemma:glucose'
302 +1.456064 O b'-1:word:glucose'
303 +1.455233 Air b'-1:lemma:ChIP-Seq'
304 +1.455233 Air b'-1:word:ChIP-Seq'
305 +1.454619 Anti b'lemma:none'
306 +1.454619 Anti b'word:none'
307 +1.448341 Technique b'word:RNA-Seq'
308 +1.445166 O b'lemma:with'
309 +1.445166 O b'word:with'
310 +1.437837 Air b'lemma:Aerobic'
311 +1.425780 Gversion b'word:ChIP-Seq'
312 +1.420913 Supp b'lemma:Fe'
313 +1.420913 Supp b'word:Fe'
314 +1.415834 Gtype b'+1:postag::'
315 +1.413544 Supp b'-1:lemma:vol'
316 +1.413544 Supp b'-1:word:vol'
317 +1.412341 Anti b'lemma:\xcf\x8332'
318 +1.412341 Anti b'word:\xcf\x8332'
319 +1.411854 Supp b'-1:lemma:sodium'
320 +1.411854 Supp b'-1:word:Sodium'
321 +1.405489 O b'-1:lemma:0.3'
322 +1.405489 O b'-1:word:0.3'
323 +1.396245 O b'lemma:at'
324 +1.392279 Air b'lemma:aerobically'
325 +1.392279 Air b'word:aerobically'
326 +1.381644 Temp b'isNumber'
327 +1.375696 Supp b'lemma:Leu'
328 +1.375696 Supp b'word:Leu'
329 +1.370498 Gtype b'postag:-RRB-'
330 +1.368435 OD b'-1:postag:IN'
331 +1.368324 Air b'lemma:anaerobically'
332 +1.368324 Air b'word:anaerobically'
333 +1.362352 Anti b'+1:lemma:antibody'
334 +1.362352 Anti b'+1:word:antibody'
335 +1.351031 Gtype b'lemma:\xce\xb4fur'
336 +1.351031 Gtype b'word:\xce\x94fur'
337 +
338 +
339 +Top negative:
340 +-0.161425 O b'+1:lemma:for'
341 +-0.161435 O b'-1:word:from'
342 +-0.163031 O b'-1:postag:JJ'
343 +-0.170208 pH b'isNumber'
344 +-0.175388 Phase b'-1:word:at'
345 +-0.176185 O b'-1:lemma:final'
346 +-0.176185 O b'-1:word:final'
347 +-0.179051 Temp b'isLower'
348 +-0.182276 O b'-1:lemma:1m'
349 +-0.182276 O b'-1:word:1M'
350 +-0.182335 O b'lemma:nitrate'
351 +-0.182335 O b'word:nitrate'
352 +-0.186837 O b'-1:lemma:of'
353 +-0.186837 O b'-1:word:of'
354 +-0.187743 O b'lemma:20'
355 +-0.187743 O b'word:20'
356 +-0.191386 Gtype b'-1:lemma:mg1655'
357 +-0.191386 Gtype b'-1:word:MG1655'
358 +-0.196154 Phase b'+1:postag:NN'
359 +-0.202412 O b'-1:lemma:delta'
360 +-0.202412 O b'-1:word:delta'
361 +-0.212437 O b'-1:lemma:the'
362 +-0.212759 O b'-1:lemma:-lrb-'
363 +-0.212759 O b'-1:word:-LRB-'
364 +-0.213350 O b'word:cells'
365 +-0.216427 O b'-1:word:the'
366 +-0.240040 O b'+1:lemma:.'
367 +-0.240040 O b'+1:postag:.'
368 +-0.240040 O b'+1:word:.'
369 +-0.243920 O b'-1:lemma:37'
370 +-0.243920 O b'-1:word:37'
371 +-0.251381 O b'lemma:fructose'
372 +-0.251381 O b'word:fructose'
373 +-0.258298 Gtype b'+1:postag:CD'
374 +-0.264062 O b'lemma:glucose'
375 +-0.264062 O b'word:glucose'
376 +-0.265863 O b'-1:lemma:n2'
377 +-0.265863 O b'-1:word:N2'
378 +-0.266546 Med b'+1:postag:IN'
379 +-0.269386 Technique b'-1:postag::'
380 +-0.281436 Gtype b'-1:postag:CD'
381 +-0.293367 OD b'isNumber'
382 +-0.297545 Med b'-1:postag:CD'
383 +-0.298264 Med b'+1:postag:NN'
384 +-0.299287 O b'+1:postag:-LRB-'
385 +-0.310462 O b'+1:word:C'
386 +-0.312013 O b'+1:lemma:supplement'
387 +-0.312013 O b'+1:word:supplemented'
388 +-0.315139 Air b'isUpper'
389 +-0.323254 O b'lemma:minimal'
390 +-0.323254 O b'word:minimal'
391 +-0.325354 Air b'isLower'
392 +-0.330197 O b'lemma:medium'
393 +-0.330197 O b'word:medium'
394 +-0.334804 O b'+1:word:was'
395 +-0.338934 O b'lemma:mid-log'
396 +-0.338934 O b'word:mid-log'
397 +-0.339837 O b'-1:lemma:ph'
398 +-0.339837 O b'-1:word:pH'
399 +-0.343351 O b'+1:postag:IN'
400 +-0.352158 O b'lemma:aerobically'
401 +-0.352158 O b'word:aerobically'
402 +-0.353505 Supp b'+1:lemma:acetate'
403 +-0.353505 Supp b'+1:word:acetate'
404 +-0.354637 O b'-1:lemma:until'
405 +-0.354637 O b'-1:word:until'
406 +-0.366063 Gtype b'+1:lemma:-lrb-'
407 +-0.366063 Gtype b'+1:word:-LRB-'
408 +-0.366626 O b'+1:lemma:1m'
409 +-0.366626 O b'+1:word:1M'
410 +-0.367334 O b'lemma:\xce\xb4fur'
411 +-0.367334 O b'word:\xce\x94fur'
412 +-0.367534 Supp b'+1:lemma:rifampicin'
413 +-0.367534 Supp b'+1:word:rifampicin'
414 +-0.376560 Air b'postag:CD'
415 +-0.381184 O b'word:ChIP-exo'
416 +-0.381356 O b'-1:postag:-LRB-'
417 +-0.384332 Supp b'+1:lemma:nacl'
418 +-0.384332 Supp b'+1:word:NaCl'
419 +-0.386705 Supp b'+1:postag:VBN'
420 +-0.388164 O b'-1:lemma:mm'
421 +-0.388164 O b'-1:word:mM'
422 +-0.390523 O b'+1:postag:-RRB-'
423 +-0.398465 Supp b'+1:lemma:fructose'
424 +-0.398465 Supp b'+1:word:fructose'
425 +-0.401244 Supp b'-1:lemma:-lrb-'
426 +-0.401244 Supp b'-1:word:-LRB-'
427 +-0.402437 O b'lemma:methanol'
428 +-0.402437 O b'word:methanol'
429 +-0.409150 O b'+1:lemma:2.0'
430 +-0.409150 O b'+1:word:2.0'
431 +-0.411366 Anti b'isUpper'
432 +-0.423965 pH b'isUpper'
433 +-0.430054 O b'-1:lemma:co2'
434 +-0.430054 O b'-1:word:CO2'
435 +-0.440932 Supp b'-1:postag:-LRB-'
436 +-0.442403 O b'+1:lemma:until'
437 +-0.442403 O b'+1:word:until'
438 +-0.446535 O b'lemma:37'
439 +-0.446535 O b'word:37'
440 +-0.457767 O b'-1:lemma:rpob'
441 +-0.457767 O b'-1:word:RpoB'
442 +-0.477776 O b'-1:lemma:dissolve'
443 +-0.477776 O b'+1:lemma:methanol'
444 +-0.477776 O b'-1:word:dissolved'
445 +-0.477776 O b'+1:word:methanol'
446 +-0.477792 O b'+1:lemma:at'
447 +-0.477792 O b'+1:word:at'
448 +-0.483118 Supp b'postag:CC'
449 +-0.489848 Phase b'isUpper'
450 +-0.495038 O b'-1:lemma:chip-exo'
451 +-0.497308 Air b'-1:lemma:or'
452 +-0.497308 Air b'-1:word:or'
453 +-0.506461 O b'postag:RB'
454 +-0.529298 O b'+1:lemma:+'
455 +-0.529298 O b'+1:word:+'
456 +-0.531127 O b'-1:lemma:\xe2\x88\x86'
457 +-0.531127 O b'-1:word:\xe2\x88\x86'
458 +-0.538507 O b'+1:lemma:mm'
459 +-0.538507 O b'+1:word:mM'
460 +-0.548092 O b'lemma:0.3'
461 +-0.548092 O b'word:0.3'
462 +-0.563525 O b'+1:lemma:g/l'
463 +-0.563525 O b'+1:word:g/L'
464 +-0.570744 O b'-1:lemma:ml'
465 +-0.570744 O b'-1:word:ml'
466 +-0.591829 O b'lemma:anaerobically'
467 +-0.591829 O b'word:anaerobically'
468 +-0.598110 O b'lemma:2h'
469 +-0.598110 O b'-1:lemma:additional'
470 +-0.598110 O b'word:2h'
471 +-0.598110 O b'-1:word:additional'
472 +-0.600779 O b'-1:postag:IN'
473 +-0.607624 Med b'-1:postag:IN'
474 +-0.609092 pH b'isLower'
475 +-0.613065 O b'+1:word:ChIP-exo'
476 +-0.626312 O b'-1:lemma:30'
477 +-0.626312 O b'-1:word:30'
478 +-0.630541 O b'-1:lemma:2'
479 +-0.630541 O b'-1:word:2'
480 +-0.638505 Med b'-1:postag:NN'
481 +-0.651973 O b'lemma:30'
482 +-0.651973 O b'word:30'
483 +-0.665379 Supp b'-1:postag:NNP'
484 +-0.670601 O b'-1:lemma:nsrr'
485 +-0.670601 O b'-1:word:NsrR'
486 +-0.680571 Temp b'postag:NN'
487 +-0.684733 O b'-1:lemma:1'
488 +-0.684733 O b'-1:word:1'
489 +-0.687802 O b'lemma:media'
490 +-0.687802 O b'word:media'
491 +-0.721685 O b'lemma:nitrogen'
492 +-0.721685 O b'word:nitrogen'
493 +-0.722056 O b'lemma:wt'
494 +-0.741258 O b'-1:lemma:fresh'
495 +-0.741258 O b'-1:word:fresh'
496 +-0.753223 O b'-1:lemma:IP'
497 +-0.753223 O b'-1:word:IP'
498 +-0.763524 O b'-1:postag::'
499 +-0.789743 O b'+1:lemma:1'
500 +-0.789743 O b'+1:word:1'
501 +-0.826009 Agit b'isUpper'
502 +-0.838640 O b'lemma:of'
503 +-0.838640 O b'word:of'
504 +-0.900576 Technique b'isNumber'
505 +-0.929708 Air b'+1:postag:JJ'
506 +-0.932673 Air b'postag:NN'
507 +-0.941122 O b'-1:lemma:sample'
508 +-0.941205 Supp b'+1:lemma:-lrb-'
509 +-0.941205 Supp b'+1:word:-LRB-'
510 +-0.985729 O b'+1:postag:VBG'
511 +-0.986793 O b'+1:lemma:in'
512 +-0.986793 O b'+1:word:in'
513 +-1.003856 Supp b'+1:postag:-LRB-'
514 +-1.027764 Gtype b'isLower'
515 +-1.044653 Supp b'+1:lemma:,'
516 +-1.044653 Supp b'+1:postag:,'
517 +-1.044653 Supp b'+1:word:,'
518 +-1.056696 O b'postag:VBP'
519 +-1.079385 O b'+1:lemma:2'
520 +-1.079385 O b'+1:word:2'
521 +-1.104140 Phase b'postag:JJ'
522 +-1.176289 O b'lemma:rifampicin'
523 +-1.176289 O b'word:rifampicin'
524 +-1.182781 Gtype b'isUpper'
525 +-1.265677 Gversion b'isLower'
526 +-1.274432 O b'-1:lemma:vol'
527 +-1.274432 O b'-1:word:vol'
528 +-1.294047 Technique b'isLower'
529 +-1.345193 Gtype b'isNumber'
530 +-1.368743 OD b'+1:postag:NN'
531 +-1.433260 Anti b'postag:NNP'
532 +-1.439292 Temp b'+1:postag:IN'
533 +-1.581204 Supp b'postag:JJ'
534 +-1.682734 Phase b'-1:postag:JJ'
535 +-1.916711 O b'-1:postag:VBG'
536 +-1.991385 O b'-1:lemma:_'
537 +-1.991385 O b'-1:word:_'
538 +-2.027885 O b'-1:lemma::'
539 +-2.027885 O b'-1:word::'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.05028906165720029, 'c2': 0.013800616937860201}
5 +best CV score:0.88742941188346
6 +model size: 0.15M
7 +
8 +Flat F1: 0.7898290630427373
9 + precision recall f1-score support
10 +
11 + OD 0.720 0.818 0.766 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 0.724 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 1.000 1.000 1.000 1
22 + Gtype 0.897 0.824 0.859 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.732 0.813 0.770 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.813 0.778 0.790 451
28 +
29 +
30 +Top likely transitions:
31 +Agit -> Agit 6.109590
32 +Temp -> Temp 5.811903
33 +Anti -> Anti 5.262249
34 +Med -> Med 5.103938
35 +Supp -> Supp 4.904278
36 +OD -> OD 4.790162
37 +Gversion -> Gversion 4.698942
38 +Gtype -> Gtype 4.209922
39 +Phase -> Phase 4.104196
40 +O -> O 3.995376
41 +Air -> Air 3.716034
42 +Technique -> Technique 3.620673
43 +pH -> pH 3.119671
44 +O -> Technique 0.701338
45 +Substrain -> Gtype 0.676777
46 +O -> Gtype 0.289823
47 +Technique -> Air 0.121096
48 +Gtype -> Supp 0.100772
49 +Air -> O 0.080919
50 +O -> Anti 0.071010
51 +O -> Supp 0.059391
52 +Temp -> O 0.059203
53 +Gtype -> Substrain -0.000305
54 +O -> Substrain -0.001303
55 +O -> Strain -0.001660
56 +O -> Temp -0.004966
57 +Phase -> Air -0.022029
58 +Technique -> Supp -0.049531
59 +Air -> Agit -0.068359
60 +Phase -> Technique -0.070606
61 +Anti -> Gtype -0.083548
62 +OD -> Supp -0.090468
63 +Anti -> Supp -0.120287
64 +Phase -> Gtype -0.143036
65 +Agit -> Air -0.174747
66 +Technique -> OD -0.200986
67 +Anti -> Temp -0.205319
68 +Phase -> OD -0.217351
69 +Supp -> Technique -0.233971
70 +Supp -> Gtype -0.263727
71 +O -> Phase -0.272927
72 +Supp -> Anti -0.274653
73 +Anti -> O -0.304091
74 +Technique -> Gtype -0.363832
75 +Gtype -> Technique -0.369874
76 +Supp -> Air -0.382660
77 +Supp -> O -0.386124
78 +Temp -> Med -0.389357
79 +OD -> O -0.415227
80 +Gversion -> O -0.421904
81 +
82 +
83 +Top unlikely transitions:
84 +O -> Supp 0.059391
85 +Temp -> O 0.059203
86 +Gtype -> Substrain -0.000305
87 +O -> Substrain -0.001303
88 +O -> Strain -0.001660
89 +O -> Temp -0.004966
90 +Phase -> Air -0.022029
91 +Technique -> Supp -0.049531
92 +Air -> Agit -0.068359
93 +Phase -> Technique -0.070606
94 +Anti -> Gtype -0.083548
95 +OD -> Supp -0.090468
96 +Anti -> Supp -0.120287
97 +Phase -> Gtype -0.143036
98 +Agit -> Air -0.174747
99 +Technique -> OD -0.200986
100 +Anti -> Temp -0.205319
101 +Phase -> OD -0.217351
102 +Supp -> Technique -0.233971
103 +Supp -> Gtype -0.263727
104 +O -> Phase -0.272927
105 +Supp -> Anti -0.274653
106 +Anti -> O -0.304091
107 +Technique -> Gtype -0.363832
108 +Gtype -> Technique -0.369874
109 +Supp -> Air -0.382660
110 +Supp -> O -0.386124
111 +Temp -> Med -0.389357
112 +OD -> O -0.415227
113 +Gversion -> O -0.421904
114 +OD -> Air -0.437118
115 +Med -> O -0.457761
116 +Phase -> Med -0.566106
117 +Technique -> pH -0.588485
118 +Air -> Supp -0.749133
119 +Gtype -> Med -0.749905
120 +Air -> Phase -0.761522
121 +O -> OD -0.761983
122 +Air -> Med -0.800817
123 +Gtype -> Anti -0.885857
124 +O -> Med -0.928117
125 +Phase -> O -0.934773
126 +Technique -> O -0.944445
127 +Air -> Temp -0.967834
128 +Phase -> Supp -1.004648
129 +Gtype -> O -1.364531
130 +O -> Air -1.614738
131 +Substrain -> O -1.728040
132 +Supp -> Med -1.841267
133 +Med -> Supp -2.122160
134 +
135 +
136 +Top positive:
137 +4.639572 Gtype b'word[:1]:\xce\x94'
138 +4.300520 O b'word[:2]:re'
139 +4.022984 Air b'postag:RB'
140 +3.627801 Air b'lemma:anaerobic'
141 +3.468741 O b'-1:lemma:tag'
142 +3.363521 Supp b'-1:word:Cra'
143 +3.318146 O b'lemma:_'
144 +3.318146 O b'word[:1]:_'
145 +3.318146 O b'word:_'
146 +3.308857 Air b'word[:2]:Ae'
147 +3.308857 Air b'word:Aerobic'
148 +3.289642 Technique b'word[:2]:Ch'
149 +3.223570 Air b'word[:2]:An'
150 +3.197124 O b'postag::'
151 +3.084091 O b'-1:word:tag'
152 +2.996318 O b'word:A'
153 +2.988262 O b'lemma:-'
154 +2.988262 O b'word:-'
155 +2.840867 Gtype b'word[:1]:d'
156 +2.829005 O b'postag:IN'
157 +2.786835 O b'lemma:with'
158 +2.786835 O b'word:with'
159 +2.782828 Supp b'word[:2]:ni'
160 +2.740660 Phase b'lemma:stationary'
161 +2.740660 Phase b'word:stationary'
162 +2.739492 Gtype b'word[:2]:Fl'
163 +2.729139 Gtype b'lemma:wt'
164 +2.700600 O b'lemma:2'
165 +2.700600 O b'word:2'
166 +2.647887 O b'lemma:.'
167 +2.647887 O b'postag:.'
168 +2.647887 O b'word:.'
169 +2.619024 Supp b'+1:lemma:\xc2\xb5m'
170 +2.619024 Supp b'+1:word:\xc2\xb5M'
171 +2.615368 O b'word[:1]:S'
172 +2.613499 Anti b'word[:2]:an'
173 +2.594946 O b'+1:postag:RB'
174 +2.569496 Gtype b'word[:1]:W'
175 +2.549272 Strain b'+1:lemma:substr'
176 +2.549272 Strain b'+1:word:substr'
177 +2.513933 O b'word[:2]:Cu'
178 +2.467059 Air b'word[:1]:A'
179 +2.464095 O b'lemma:3'
180 +2.464095 O b'word:3'
181 +2.462122 Phase b'word[:1]:e'
182 +2.460202 Phase b'lemma:mid-log'
183 +2.460202 Phase b'word:mid-log'
184 +2.433822 Supp b'-1:lemma:vol'
185 +2.433822 Supp b'-1:word:vol'
186 +2.404119 O b'postag:VBN'
187 +2.403872 O b'lemma:1'
188 +2.403872 O b'word:1'
189 +2.395598 Supp b'word[:1]:I'
190 +2.389732 O b'word[:2]:Rp'
191 +2.385820 Technique b'word[:2]:RN'
192 +2.354852 Supp b'postag:VBP'
193 +2.345794 O b'word[:1]:G'
194 +2.326682 Supp b'lemma:Iron'
195 +2.326682 Supp b'word[:2]:Ir'
196 +2.326682 Supp b'word:Iron'
197 +2.326682 Supp b'+1:word:Deficient'
198 +2.299398 O b'-1:word:Aerobic'
199 +2.288147 O b'lemma:Custom'
200 +2.288147 O b'word:Custom'
201 +2.281710 Technique b'lemma:ChIP-exo'
202 +2.276249 Supp b'-1:lemma:with'
203 +2.276249 Supp b'-1:word:with'
204 +2.249269 O b'-1:lemma:lb'
205 +2.249269 O b'-1:word:LB'
206 +2.249119 O b'lemma:a'
207 +2.237257 O b'word[:2]:Cr'
208 +2.232635 Supp b'lemma:arginine'
209 +2.214367 Gtype b'word[:2]:PK'
210 +2.207423 O b'isNumber'
211 +2.202429 Gtype b'lemma:arca8myc'
212 +2.202429 Gtype b'word:ArcA8myc'
213 +2.192107 Gtype b'word[:1]:w'
214 +2.183043 O b'lemma:at'
215 +2.175197 Supp b'word[:2]:Fe'
216 +2.159024 O b'postag:CC'
217 +2.155380 O b'-1:lemma:glucose'
218 +2.155380 O b'-1:word:glucose'
219 +2.119159 Supp b'lemma:pq'
220 +2.119159 Supp b'word[:2]:PQ'
221 +2.119159 Supp b'word:PQ'
222 +2.088381 Technique b'lemma:rna-seq'
223 +2.079903 O b'+1:lemma:or'
224 +2.079903 O b'+1:word:or'
225 +2.068009 Supp b'word[:1]:1'
226 +2.067542 O b'postag:VBG'
227 +2.066432 O b'word[:2]:ge'
228 +2.058739 Technique b'word[:1]:C'
229 +2.044761 Supp b'-1:lemma:Cra'
230 +2.043046 O b'word:Cra'
231 +2.038603 Temp b'+1:lemma:in'
232 +2.038603 Temp b'+1:word:in'
233 +2.015876 O b'word[:2]:ch'
234 +2.009137 O b'+1:word:ChIP-Seq'
235 +1.989519 O b'-1:lemma:0.3'
236 +1.989519 O b'-1:word:0.3'
237 +1.978424 O b'+1:postag:NNP'
238 +1.973212 Phase b'word[:2]:ex'
239 +1.972232 Supp b'-1:postag:CC'
240 +1.959095 Air b'word:anaerobic'
241 +1.957164 Gtype b'word[:1]:t'
242 +1.948276 Gtype b'word[:2]:cr'
243 +1.939810 Med b'lemma:MOPS'
244 +1.939810 Med b'word[:2]:MO'
245 +1.939810 Med b'word:MOPS'
246 +1.939729 Air b'+1:postag:IN'
247 +1.934822 Supp b'lemma:nacl'
248 +1.934822 Supp b'word:NaCl'
249 +1.926545 O b'lemma:ompr'
250 +1.926545 O b'word[:2]:Om'
251 +1.926545 O b'word:OmpR'
252 +1.924885 pH b'word[:2]:pH'
253 +1.920642 Med b'+1:lemma:0.4'
254 +1.920642 Med b'+1:word:0.4'
255 +1.911633 Technique b'word[:1]:R'
256 +1.891089 O b'isLower'
257 +1.886521 Supp b'-1:lemma:+'
258 +1.886521 Supp b'-1:word:+'
259 +1.870705 Substrain b'word[:2]:MG'
260 +1.852940 O b'lemma:delta'
261 +1.852940 O b'word:delta'
262 +1.848066 O b'word[:1]:E'
263 +1.846119 O b'word[:1]:R'
264 +1.831986 Gversion b'lemma:chip-seq'
265 +1.821131 Gtype b'hGreek'
266 +1.820825 Med b'word[:1]:M'
267 +1.809718 O b'+1:lemma:pq'
268 +1.809718 O b'+1:word:PQ'
269 +1.793169 O b'word[:1]:B'
270 +1.790300 Gtype b'-1:lemma:\xe2\x88\x86'
271 +1.790300 Gtype b'-1:word:\xe2\x88\x86'
272 +1.784099 O b'lemma:purr'
273 +1.784099 O b'word:PurR'
274 +1.777360 Supp b'lemma:acetate'
275 +1.777360 Supp b'word:acetate'
276 +1.774907 Gtype b'word[:1]:F'
277 +1.753560 Gversion b'word[:2]:00'
278 +1.753502 O b'postag:DT'
279 +1.733991 Gversion b'lemma:nc'
280 +1.733991 Gversion b'word[:2]:NC'
281 +1.733991 Gversion b'word:NC'
282 +1.727458 Technique b'-1:lemma:chip-exo'
283 +1.727043 Gversion b'lemma:asm584v2'
284 +1.727043 Gversion b'word[:2]:AS'
285 +1.727043 Gversion b'word:ASM584v2'
286 +1.725711 O b'-1:lemma:0.3-0.35'
287 +1.725711 O b'-1:word:0.3-0.35'
288 +1.718272 Med b'-1:lemma:ml'
289 +1.718272 Med b'-1:word:ml'
290 +1.708599 Air b'word[:1]:a'
291 +1.705288 Gtype b'word[:2]:WT'
292 +1.705288 Gtype b'word:WT'
293 +1.702939 Gtype b'lemma:type'
294 +1.702939 Gtype b'word[:2]:ty'
295 +1.702939 Gtype b'word:type'
296 +1.700727 Gversion b'word:ChIP-Seq'
297 +1.678369 Med b'word[:1]:L'
298 +1.677602 Substrain b'word[:1]:M'
299 +1.675405 Air b'word:Anaerobic'
300 +1.673928 O b'-1:lemma:phase'
301 +1.673928 O b'-1:word:phase'
302 +1.670556 Gtype b'symb'
303 +1.664412 Gtype b'word[:2]:Ar'
304 +1.656247 Air b'lemma:anaerobically'
305 +1.656247 Air b'word:anaerobically'
306 +1.629999 O b'-1:lemma:into'
307 +1.629999 O b'-1:word:into'
308 +1.625974 Agit b'+1:lemma:rpm'
309 +1.625974 Agit b'+1:word:rpm'
310 +1.623101 Air b'-1:postag::'
311 +1.617445 O b'word[:1]:C'
312 +1.614655 O b'+1:lemma:od600'
313 +1.614655 O b'+1:word:OD600'
314 +1.613598 Supp b'lemma:rifampicin'
315 +1.613598 Supp b'word:rifampicin'
316 +1.609900 Supp b'word[:2]:ri'
317 +1.592698 O b'lemma:b'
318 +1.592698 O b'word:B'
319 +1.589084 Gtype b'lemma:flag-tag'
320 +1.589084 Gtype b'-1:lemma:c-terminal'
321 +1.589084 Gtype b'word:Flag-tag'
322 +1.589084 Gtype b'-1:word:C-terminal'
323 +1.588544 Gtype b'word[:1]:f'
324 +1.561372 Med b'+1:lemma:2.0'
325 +1.561372 Med b'+1:word:2.0'
326 +1.560963 Supp b'word[:2]:gl'
327 +1.560208 O b'-1:postag:NNS'
328 +1.547132 O b'-1:lemma:type'
329 +1.547132 O b'-1:word:type'
330 +1.539083 O b'+1:lemma:mid-log'
331 +1.539083 O b'+1:word:mid-log'
332 +1.531367 Strain b'lemma:k-12'
333 +1.531367 Strain b'word[:2]:K-'
334 +1.531367 Strain b'word:K-12'
335 +1.524189 Med b'word[:2]:me'
336 +1.516646 Temp b'-1:word:sample'
337 +
338 +
339 +Top negative:
340 +-0.288032 O b'-1:lemma:delta'
341 +-0.288032 O b'-1:word:delta'
342 +-0.292633 O b'-1:lemma:mm'
343 +-0.292633 O b'-1:word:mM'
344 +-0.294985 O b'-1:lemma:250'
345 +-0.294985 O b'-1:word:250'
346 +-0.296179 Temp b'symb'
347 +-0.301980 O b'-1:lemma:control'
348 +-0.301980 O b'-1:word:control'
349 +-0.308283 O b'lemma:sodium'
350 +-0.308283 O b'word:Sodium'
351 +-0.314104 O b'word[:2]:OD'
352 +-0.314668 O b'lemma:20'
353 +-0.314668 O b'word:20'
354 +-0.316973 O b'-1:lemma:cra'
355 +-0.318579 OD b'hUpper'
356 +-0.318579 OD b'hLower'
357 +-0.320649 Strain b'isLower'
358 +-0.322585 O b'+1:lemma:phosphate'
359 +-0.322585 O b'+1:word:phosphate'
360 +-0.324375 Technique b'-1:postag::'
361 +-0.329447 Vess b'hUpper'
362 +-0.329447 Vess b'hLower'
363 +-0.331787 O b'lemma:37'
364 +-0.331787 O b'word[:2]:37'
365 +-0.331787 O b'word:37'
366 +-0.334237 O b'+1:lemma:antibody'
367 +-0.334237 O b'+1:word:antibody'
368 +-0.334457 O b'+1:postag:-RRB-'
369 +-0.344240 O b'+1:lemma:-rrb-'
370 +-0.344240 O b'+1:word:-RRB-'
371 +-0.345027 O b'lemma:30'
372 +-0.345027 O b'word:30'
373 +-0.346004 O b'lemma:glucose'
374 +-0.346004 O b'word:glucose'
375 +-0.346763 O b'+1:word:for'
376 +-0.348278 O b'+1:lemma:supplement'
377 +-0.348278 O b'+1:word:supplemented'
378 +-0.354399 O b'word[:2]:Fe'
379 +-0.354537 Gtype b'-1:lemma:mg1655'
380 +-0.354537 Gtype b'-1:word:MG1655'
381 +-0.357807 O b'word[:1]:p'
382 +-0.358553 O b'lemma:fructose'
383 +-0.358553 O b'word:fructose'
384 +-0.365765 O b'word[:2]:cr'
385 +-0.366538 O b'-1:lemma:nsrr'
386 +-0.366538 O b'-1:word:NsrR'
387 +-0.380953 Gtype b'lemma:delta'
388 +-0.380953 Gtype b'word:delta'
389 +-0.384577 O b'lemma:wt'
390 +-0.388919 O b'lemma:0.3'
391 +-0.388919 O b'word:0.3'
392 +-0.393930 O b'word[:2]:gl'
393 +-0.394132 O b'-1:lemma:37'
394 +-0.394132 O b'-1:word:37'
395 +-0.397348 O b'word[:2]:ae'
396 +-0.400421 Anti b'symb'
397 +-0.403822 Temp b'postag:NN'
398 +-0.416428 O b'+1:lemma:_'
399 +-0.416428 O b'+1:word:_'
400 +-0.418494 Gtype b'+1:postag:CD'
401 +-0.429910 O b'lemma:anaerobically'
402 +-0.429910 O b'word:anaerobically'
403 +-0.430496 O b'-1:lemma:\xe2\x88\x86'
404 +-0.430496 O b'-1:word:\xe2\x88\x86'
405 +-0.435685 Anti b'isUpper'
406 +-0.439926 O b'word[:1]:0'
407 +-0.455543 Supp b'-1:postag:NNP'
408 +-0.459841 O b'+1:word:ChIP-exo'
409 +-0.467718 O b'+1:lemma:until'
410 +-0.467718 O b'+1:word:until'
411 +-0.471394 Technique b'isLower'
412 +-0.477058 O b'+1:lemma:mm'
413 +-0.477058 O b'+1:word:mM'
414 +-0.479461 O b'lemma:methanol'
415 +-0.479461 O b'word:methanol'
416 +-0.479626 O b'+1:lemma:2.0'
417 +-0.479626 O b'+1:word:2.0'
418 +-0.483129 Gtype b'+1:lemma:-rrb-'
419 +-0.483129 Gtype b'+1:word:-RRB-'
420 +-0.493814 O b'-1:lemma:final'
421 +-0.493814 O b'-1:word:final'
422 +-0.494462 O b'+1:lemma:1m'
423 +-0.494462 O b'+1:word:1M'
424 +-0.498667 O b'word[:2]:ce'
425 +-0.519190 Air b'-1:postag:JJ'
426 +-0.523733 O b'-1:lemma:dissolve'
427 +-0.523733 O b'+1:lemma:methanol'
428 +-0.523733 O b'-1:word:dissolved'
429 +-0.523733 O b'+1:word:methanol'
430 +-0.526708 O b'word:cells'
431 +-0.526835 O b'lemma:aerobically'
432 +-0.526835 O b'word:aerobically'
433 +-0.527859 O b'lemma:mid-log'
434 +-0.527859 O b'word:mid-log'
435 +-0.533576 O b'-1:lemma:ml'
436 +-0.533576 O b'-1:word:ml'
437 +-0.561344 Supp b'word[:2]:an'
438 +-0.570853 O b'+1:lemma:+'
439 +-0.570853 O b'+1:word:+'
440 +-0.571720 O b'word[:2]:mg'
441 +-0.573354 O b'-1:lemma:co2'
442 +-0.573354 O b'-1:word:CO2'
443 +-0.605365 O b'+1:lemma:at'
444 +-0.605365 O b'+1:word:at'
445 +-0.606419 O b'-1:lemma:1'
446 +-0.606419 O b'-1:word:1'
447 +-0.606723 O b'-1:lemma:IP'
448 +-0.606723 O b'-1:word:IP'
449 +-0.612276 Gtype b'postag::'
450 +-0.613913 O b'lemma:2h'
451 +-0.613913 O b'-1:lemma:additional'
452 +-0.613913 O b'word[:2]:2h'
453 +-0.613913 O b'word:2h'
454 +-0.613913 O b'-1:word:additional'
455 +-0.615802 O b'-1:lemma:30'
456 +-0.615802 O b'-1:word:30'
457 +-0.619836 O b'+1:lemma:rep2'
458 +-0.619836 O b'+1:word:rep2'
459 +-0.621214 O b'+1:lemma:for'
460 +-0.640517 O b'word[:1]:K'
461 +-0.670387 O b'word[:1]:4'
462 +-0.678961 Med b'+1:postag:IN'
463 +-0.690560 Supp b'-1:lemma:-lrb-'
464 +-0.690560 Supp b'-1:word:-LRB-'
465 +-0.718679 Air b'-1:lemma:or'
466 +-0.718679 Air b'-1:word:or'
467 +-0.725669 Technique b'isNumber'
468 +-0.728283 O b'-1:lemma:rpob'
469 +-0.728283 O b'-1:word:RpoB'
470 +-0.748299 Gtype b'isNumber'
471 +-0.754138 Supp b'-1:postag:-LRB-'
472 +-0.776918 O b'+1:postag:IN'
473 +-0.784907 O b'+1:lemma:g/l'
474 +-0.784907 O b'+1:word:g/L'
475 +-0.790364 Agit b'symb'
476 +-0.802282 pH b'isLower'
477 +-0.823837 Air b'symb'
478 +-0.845641 Supp b'+1:postag:VBN'
479 +-0.868864 O b'word[:1]:N'
480 +-0.880681 O b'word[:1]:M'
481 +-0.885424 O b'-1:lemma:until'
482 +-0.885424 O b'-1:word:until'
483 +-0.887496 Med b'symb'
484 +-0.888872 O b'+1:postag:VBG'
485 +-0.890184 O b'word[:2]:ri'
486 +-0.907641 Air b'postag:NN'
487 +-0.915110 Phase b'hUpper'
488 +-0.915110 Phase b'hLower'
489 +-0.929811 O b'lemma:rifampicin'
490 +-0.929811 O b'word:rifampicin'
491 +-0.929936 Anti b'postag:NNP'
492 +-0.930510 O b'+1:lemma:1'
493 +-0.930510 O b'+1:word:1'
494 +-0.961858 O b'word[:2]:ni'
495 +-1.003184 O b'-1:lemma:sample'
496 +-1.005029 O b'postag:RB'
497 +-1.007966 O b'+1:lemma:in'
498 +-1.007966 O b'+1:word:in'
499 +-1.010292 Supp b'postag:JJ'
500 +-1.060178 Technique b'postag:NN'
501 +-1.065943 O b'word[:2]:me'
502 +-1.096716 O b'word[:2]:30'
503 +-1.098543 O b'-1:lemma:2'
504 +-1.098543 O b'-1:word:2'
505 +-1.120503 Agit b'hUpper'
506 +-1.120503 Agit b'hLower'
507 +-1.151730 Gtype b'isUpper'
508 +-1.162851 O b'word[:2]:fl'
509 +-1.291732 Med b'-1:postag:IN'
510 +-1.298568 Supp b'hGreek'
511 +-1.326735 Supp b'+1:lemma:-lrb-'
512 +-1.326735 Supp b'+1:word:-LRB-'
513 +-1.328519 O b'+1:lemma:2'
514 +-1.328519 O b'+1:word:2'
515 +-1.354230 Supp b'+1:postag:-LRB-'
516 +-1.356038 O b'-1:lemma:fresh'
517 +-1.356038 O b'-1:word:fresh'
518 +-1.359201 Gversion b'isLower'
519 +-1.362233 Supp b'word[:1]:C'
520 +-1.378443 O b'-1:postag::'
521 +-1.474890 OD b'+1:postag:NN'
522 +-1.530172 O b'postag:VBP'
523 +-1.570112 Supp b'symb'
524 +-1.647234 Gtype b'word[:1]:C'
525 +-1.681334 Supp b'+1:lemma:,'
526 +-1.681334 Supp b'+1:postag:,'
527 +-1.681334 Supp b'+1:word:,'
528 +-1.795778 Phase b'-1:postag:JJ'
529 +-1.890265 O b'word[:2]:Ch'
530 +-1.929419 O b'-1:lemma:vol'
531 +-1.929419 O b'-1:word:vol'
532 +-2.060566 O b'-1:lemma:_'
533 +-2.060566 O b'-1:word:_'
534 +-2.190996 O b'-1:postag:VBG'
535 +-2.302290 O b'word[:1]:P'
536 +-2.881552 Phase b'postag:JJ'
537 +-2.952863 O b'-1:lemma::'
538 +-2.952863 O b'-1:word::'
539 +-3.410195 Temp b'+1:postag:IN'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.11742461718830033, 'c2': 0.02662617554316118}
5 +best CV score:0.8708719401464459
6 +model size: 0.09M
7 +
8 +Flat F1: 0.7826516624223783
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 0.875 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 0.857 0.847 0.852 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.704 0.799 0.748 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.804 0.772 0.783 451
28 +
29 +
30 +Top likely transitions:
31 +Agit -> Agit 5.439901
32 +Temp -> Temp 5.396669
33 +Med -> Med 5.065020
34 +OD -> OD 4.953210
35 +Supp -> Supp 4.896498
36 +Anti -> Anti 4.277247
37 +Gversion -> Gversion 4.163938
38 +Air -> Air 4.130174
39 +Phase -> Phase 4.128094
40 +Gtype -> Gtype 3.922783
41 +O -> O 3.869994
42 +Technique -> Technique 3.221345
43 +pH -> pH 2.835222
44 +Substrain -> Gtype 1.574095
45 +Gtype -> Supp 1.244904
46 +Air -> O 1.082917
47 +O -> Supp 0.945786
48 +Gtype -> Air 0.814323
49 +O -> Technique 0.803752
50 +Technique -> Air 0.755226
51 +O -> Gtype 0.648261
52 +Temp -> O 0.611338
53 +Supp -> O 0.532088
54 +Med -> O 0.507836
55 +Gtype -> pH 0.235927
56 +O -> Phase 0.033778
57 +O -> Temp 0.009155
58 +OD -> O 0.003553
59 +Phase -> O 0.002640
60 +O -> Anti 0.000010
61 +Agit -> Air -0.021320
62 +Gtype -> Gversion -0.030123
63 +OD -> Supp -0.033547
64 +Temp -> Med -0.036476
65 +Anti -> Supp -0.053259
66 +Gversion -> Supp -0.053463
67 +pH -> Supp -0.054168
68 +Agit -> O -0.058474
69 +Anti -> Gtype -0.061061
70 +Air -> Supp -0.073851
71 +Air -> Gtype -0.074481
72 +Gtype -> Anti -0.117328
73 +Technique -> O -0.137588
74 +Technique -> Supp -0.248290
75 +Phase -> Supp -0.268131
76 +Supp -> Gtype -0.293733
77 +Technique -> pH -0.298257
78 +Gtype -> Technique -0.326009
79 +Air -> Agit -0.339414
80 +OD -> Air -0.488502
81 +
82 +
83 +Top unlikely transitions:
84 +Phase -> Phase 4.128094
85 +Gtype -> Gtype 3.922783
86 +O -> O 3.869994
87 +Technique -> Technique 3.221345
88 +pH -> pH 2.835222
89 +Substrain -> Gtype 1.574095
90 +Gtype -> Supp 1.244904
91 +Air -> O 1.082917
92 +O -> Supp 0.945786
93 +Gtype -> Air 0.814323
94 +O -> Technique 0.803752
95 +Technique -> Air 0.755226
96 +O -> Gtype 0.648261
97 +Temp -> O 0.611338
98 +Supp -> O 0.532088
99 +Med -> O 0.507836
100 +Gtype -> pH 0.235927
101 +O -> Phase 0.033778
102 +O -> Temp 0.009155
103 +OD -> O 0.003553
104 +Phase -> O 0.002640
105 +O -> Anti 0.000010
106 +Agit -> Air -0.021320
107 +Gtype -> Gversion -0.030123
108 +OD -> Supp -0.033547
109 +Temp -> Med -0.036476
110 +Anti -> Supp -0.053259
111 +Gversion -> Supp -0.053463
112 +pH -> Supp -0.054168
113 +Agit -> O -0.058474
114 +Anti -> Gtype -0.061061
115 +Air -> Supp -0.073851
116 +Air -> Gtype -0.074481
117 +Gtype -> Anti -0.117328
118 +Technique -> O -0.137588
119 +Technique -> Supp -0.248290
120 +Phase -> Supp -0.268131
121 +Supp -> Gtype -0.293733
122 +Technique -> pH -0.298257
123 +Gtype -> Technique -0.326009
124 +Air -> Agit -0.339414
125 +OD -> Air -0.488502
126 +Supp -> Med -0.523205
127 +Gtype -> Med -0.574774
128 +Phase -> OD -0.634226
129 +Gtype -> O -0.677390
130 +O -> Air -0.728489
131 +Substrain -> O -1.385260
132 +Technique -> Gtype -1.386457
133 +Med -> Supp -1.650239
134 +
135 +
136 +Top positive:
137 +5.983679 O b'lemma:2'
138 +5.708283 O b'lemma:1'
139 +5.291727 Anti b'-2:lemma:antibody'
140 +5.271899 O b'lemma:_'
141 +5.171865 O b'-2:lemma:_'
142 +5.109951 Air b'lemma:anaerobic'
143 +4.833145 Supp b'lemma:pq'
144 +4.718160 Gtype b'lemma:wt'
145 +4.673729 Air b'lemma:Aerobic'
146 +4.664753 Phase b'lemma:mid-log'
147 +4.425413 Technique b'lemma:ChIP-exo'
148 +4.373332 O b'lemma:3'
149 +4.329653 Technique b'lemma:chipseq'
150 +4.295751 Gtype b'lemma:\xce\xb4cra'
151 +4.272115 O b'postag:IN'
152 +4.193944 O b'lemma:-'
153 +4.105250 O b'-2:lemma:flagtag'
154 +3.881424 Gtype b'lemma:\xe2\x88\x86'
155 +3.811304 Gtype b'lemma:type'
156 +3.772718 Supp b'lemma:acetate'
157 +3.730833 Air b'lemma:aerobic'
158 +3.724640 Supp b'lemma:Iron'
159 +3.724640 Supp b'-2:lemma:Anaerobic'
160 +3.702380 Technique b'lemma:rna-seq'
161 +3.629433 Med b'lemma:MOPS'
162 +3.616769 Phase b'-2:lemma:phase'
163 +3.559707 Gtype b'-2:lemma:genotype/variation'
164 +3.537572 O b'-1:lemma:ChIP-exo'
165 +3.496406 O b'lemma:rpob'
166 +3.490750 O b'lemma:b'
167 +3.490732 Supp b'lemma:no3'
168 +3.489138 Gtype b'-1:lemma:\xe2\x88\x86'
169 +3.452471 Gtype b'lemma:wild-type'
170 +3.420571 O b'lemma:.'
171 +3.420571 O b'postag:.'
172 +3.356242 Technique b'lemma:chip-seq'
173 +3.342023 Gtype b'lemma:flag-tag'
174 +3.342023 Gtype b'-1:lemma:c-terminal'
175 +3.304679 Supp b'lemma:glucose'
176 +3.282996 Gtype b'+1:lemma:type'
177 +3.241512 Gtype b'-2:lemma:genotype'
178 +3.239460 Supp b'lemma:nh4cl'
179 +3.218527 O b'postag:VBN'
180 +3.217484 Gtype b'lemma:\xce\xb4fur'
181 +3.214660 O b'postag:CC'
182 +3.210243 Air b'postag:RB'
183 +3.201840 Supp b'lemma:nacl'
184 +3.109296 O b'lemma:Cra'
185 +3.084845 Med b'lemma:lb'
186 +3.063147 Technique b'+2:lemma:ph5'
187 +2.988964 Gtype b'lemma:\xce\xb4soxr'
188 +2.984262 Substrain b'lemma:mg1655'
189 +2.978054 O b'lemma:a'
190 +2.956989 O b'+2:lemma:\xc2\xb0c'
191 +2.950924 Supp b'-1:lemma:Cra'
192 +2.931773 Supp b'-1:lemma:with'
193 +2.929761 Gtype b'lemma:dfnr'
194 +2.905654 Supp b'+2:lemma:iptg'
195 +2.866746 Gtype b'+1:lemma:with'
196 +2.842281 Air b'-1:lemma:ChIP-Seq'
197 +2.828322 Gversion b'lemma:chip-seq'
198 +2.823426 O b'lemma:with'
199 +2.760771 Supp b'+1:lemma:1'
200 +2.758606 O b'-2:lemma:medium'
201 +2.741640 O b'lemma:harbor'
202 +2.720158 O b'postag::'
203 +2.703191 O b'-2:lemma:myc'
204 +2.679753 Supp b'lemma:arginine'
205 +2.637422 O b'lemma:CEL'
206 +2.617257 Supp b'lemma:nitrate'
207 +2.594301 Med b'lemma:m63'
208 +2.591729 Gtype b'-2:lemma:affyexp'
209 +2.582886 O b'+1:lemma:arca-8myc'
210 +2.577790 O b'lemma:rep2'
211 +2.534418 O b'-1:lemma:tag'
212 +2.528514 Air b'-2:lemma:IP'
213 +2.504515 Technique b'lemma:rnaseq'
214 +2.471761 Anti b'+2:lemma:antibody'
215 +2.471597 Gtype b'-2:lemma:delta'
216 +2.467503 O b'+1:postag:RB'
217 +2.427219 Gtype b'lemma:nsrr'
218 +2.421459 Temp b'+1:lemma:\xc2\xb0c'
219 +2.372534 pH b'lemma:ph5'
220 +2.372534 pH b'+1:lemma:.5'
221 +2.367833 O b'-1:lemma:\xc2\xb0c'
222 +2.356914 O b'-1:lemma:lb'
223 +2.353522 pH b'+1:postag:CD'
224 +2.353189 Substrain b'-2:lemma:substr'
225 +2.337098 O b'-1:lemma:media'
226 +2.331240 Substrain b'+1:lemma:phtpg'
227 +2.324866 O b'lemma:chip'
228 +2.323779 Supp b'+1:lemma:\xc2\xb5m'
229 +2.323177 Technique b'lemma:ChIP-Seq'
230 +2.307876 Med b'+2:lemma:b2'
231 +2.303217 Technique b'-2:lemma:Fur'
232 +2.273849 O b'-1:lemma:0.3'
233 +2.257978 O b'postag:VBG'
234 +2.240524 Supp b'lemma:rifampicin'
235 +2.236973 Supp b'lemma:Leu'
236 +2.236973 Supp b'-2:lemma:Lrp'
237 +2.235697 Supp b'+1:lemma:2'
238 +2.230133 Phase b'-1:lemma:mid-log'
239 +2.228853 O b'-1:lemma:glucose'
240 +2.227815 Gtype b'lemma:pk4854'
241 +2.224657 O b'-1:lemma:type'
242 +2.216378 Temp b'lemma:43'
243 +2.186438 Technique b'-1:lemma:IP'
244 +2.183211 Air b'lemma:anaeroibc'
245 +2.178971 O b'lemma:ompr'
246 +2.172933 O b'postag:DT'
247 +2.169610 Gtype b'lemma:\xce\xb4ompr'
248 +2.165614 Med b'+2:postag:CC'
249 +2.159914 Anti b'+1:lemma:antibody'
250 +2.153606 Temp b'-1:lemma:43'
251 +2.153085 Strain b'+1:lemma:substr'
252 +2.153085 Strain b'-2:lemma:str'
253 +2.150589 Technique b'-1:lemma:chip-exo'
254 +2.149006 O b'lemma:\xcf\x8332'
255 +2.146310 Gversion b'lemma:.2'
256 +2.146310 Gversion b'-1:lemma:u00096'
257 +2.114460 Supp b'-2:lemma:agent'
258 +2.108548 Gtype b'lemma:\xce\xb4oxyr'
259 +2.105031 Phase b'lemma:phase'
260 +2.100300 Supp b'lemma:Adenine'
261 +2.098088 Phase b'lemma:exponential'
262 +2.098088 Phase b'lemma:stationary'
263 +2.094636 Med b'lemma:media'
264 +2.086211 O b'-1:lemma:anaerobic'
265 +2.078690 Temp b'-2:lemma:\xcf\x8332'
266 +2.068985 Strain b'lemma:k-12'
267 +2.060042 Gtype b'+1:lemma:ph5'
268 +2.060042 Gtype b'+2:lemma:.5'
269 +2.045367 Supp b'-1:postag:CC'
270 +2.044761 O b'lemma:culture'
271 +2.040704 Air b'-1:lemma:-'
272 +2.031026 Agit b'+1:lemma:rpm'
273 +2.005630 Temp b'lemma:\xc2\xb0c'
274 +2.002408 Gversion b'lemma:nc'
275 +1.977153 O b'+1:postag:NNP'
276 +1.977024 Temp b'-1:lemma:\xcf\x8332'
277 +1.951581 Agit b'lemma:rpm'
278 +1.949335 O b'+2:lemma:cra'
279 +1.935385 O b'+1:lemma:coli'
280 +1.922594 O b'-2:lemma:min'
281 +1.919473 O b'lemma:trpr'
282 +1.912878 O b'+1:lemma:pq'
283 +1.906260 Gtype b'-1:lemma:rpob'
284 +1.904505 O b'lemma:affyexp'
285 +1.904293 O b'+2:postag:JJ'
286 +1.894199 O b'lemma::'
287 +1.893995 Supp b'+1:lemma:_'
288 +1.893414 O b'lemma:ml'
289 +1.888699 Gtype b'+2:lemma:glucose'
290 +1.886515 Air b'lemma:aerobically'
291 +1.883298 O b'lemma:soxs'
292 +1.883298 O b'lemma:soxr'
293 +1.880710 Technique b'-1:lemma:input'
294 +1.869042 O b'+1:lemma:chip-seq'
295 +1.862515 O b'lemma:purr'
296 +1.862115 Supp b'-1:lemma:+'
297 +1.858052 Gversion b'-2:lemma:nc'
298 +1.854664 Med b'lemma:broth'
299 +1.854664 Med b'-1:lemma:L'
300 +1.847606 O b'lemma:argr'
301 +1.839375 Supp b'lemma:fructose'
302 +1.836951 Med b'+2:lemma:b1'
303 +1.831180 O b'+1:lemma:od600'
304 +1.812452 Supp b'-2:lemma:media'
305 +1.805430 O b'+2:lemma:70'
306 +1.783003 O b'postag:NNS'
307 +1.764987 O b'lemma:Custom'
308 +1.761982 O b'postag:VBD'
309 +1.753599 Gtype b'lemma:ptac'
310 +1.745562 O b'-1:lemma:into'
311 +1.741499 Gversion b'-2:lemma:build'
312 +1.738402 O b'-1:lemma:Aerobic'
313 +1.737853 O b'-1:lemma:aerobically'
314 +1.729257 Gtype b'-1:lemma:ptac'
315 +1.698587 Med b'lemma:minimal'
316 +1.685171 Gtype b'-1:postag:VBG'
317 +1.673819 Supp b'+1:lemma:mm'
318 +1.660602 Gtype b'-2:postag:DT'
319 +1.656972 Gversion b'lemma:u00096'
320 +1.656972 Gversion b'+1:lemma:.2'
321 +1.651395 O b'+1:lemma:condition'
322 +1.646766 Med b'+1:lemma:0.4'
323 +1.640461 Med b'+1:lemma:minimal'
324 +1.624295 Phase b'+1:lemma:phase'
325 +1.616317 O b'+1:lemma:wt'
326 +1.615928 O b'-2:lemma:ChIP-Seq'
327 +1.609855 O b'-2:lemma:='
328 +1.606382 O b'lemma:s'
329 +1.604664 Med b'-1:lemma:in'
330 +1.594986 Temp b'-1:lemma:sample'
331 +1.583211 Technique b'-1:lemma:rna-seq'
332 +1.582844 Gtype b'+1:lemma:_'
333 +1.568792 Gtype b'+1:lemma:flagtag'
334 +1.567871 Technique b'-2:lemma:wt'
335 +1.565512 Supp b'-2:lemma:condition'
336 +1.560908 Gversion b'lemma:asm584v2'
337 +
338 +
339 +Top negative:
340 +-0.122905 Supp b'+2:postag::'
341 +-0.125639 Gtype b'-2:postag:IN'
342 +-0.129668 O b'+2:lemma:genome'
343 +-0.129916 OD b'postag:NN'
344 +-0.133563 O b'+1:lemma:95'
345 +-0.133782 Supp b'lemma:10'
346 +-0.137203 Supp b'+1:lemma:fructose'
347 +-0.138947 O b'lemma:7.6'
348 +-0.138947 O b'+1:lemma:;'
349 +-0.140900 Technique b'-2:postag:NN'
350 +-0.146216 Supp b'-1:postag:VBN'
351 +-0.149727 Supp b'-1:lemma:dpd'
352 +-0.150840 O b'-1:lemma:from'
353 +-0.154233 O b'+2:lemma:0.2'
354 +-0.156252 Supp b'+2:lemma:dpd'
355 +-0.158510 Agit b'postag:NN'
356 +-0.165524 O b'+2:lemma:ph'
357 +-0.168672 O b'+1:lemma:fecl2'
358 +-0.171936 O b'+1:lemma:_'
359 +-0.172454 O b'lemma:m63'
360 +-0.175276 Temp b'-2:postag:NN'
361 +-0.175662 Supp b'-1:lemma:10'
362 +-0.177633 O b'-2:lemma:nh4cl'
363 +-0.178297 O b'lemma:fructose'
364 +-0.181700 Strain b'postag:NN'
365 +-0.186490 Med b'-1:postag:NN'
366 +-0.190632 O b'-2:lemma:IP'
367 +-0.198455 Supp b'-1:lemma:-lrb-'
368 +-0.208745 O b'-1:lemma:final'
369 +-0.210669 Med b'postag:CD'
370 +-0.211549 O b'lemma:glucose'
371 +-0.214880 O b'-2:lemma:pahse'
372 +-0.215158 O b'-2:postag::'
373 +-0.218218 O b'-1:lemma:0.2'
374 +-0.219180 Supp b'-1:postag:-LRB-'
375 +-0.219569 O b'-1:lemma:1m'
376 +-0.219569 O b'+2:lemma:7.6'
377 +-0.220852 O b'-1:lemma:n2'
378 +-0.222501 O b'-1:lemma:until'
379 +-0.222521 Supp b'postag:CC'
380 +-0.222681 Gtype b'-2:postag:CD'
381 +-0.225491 O b'-2:lemma:a'
382 +-0.225642 O b'+1:postag:IN'
383 +-0.238241 O b'+2:lemma:tag'
384 +-0.239847 Phase b'+1:postag:NN'
385 +-0.245822 O b'+1:lemma:culture'
386 +-0.245990 O b'+2:lemma:-rrb-'
387 +-0.251435 O b'-2:lemma:2'
388 +-0.259209 Supp b'+2:lemma:glucose'
389 +-0.263857 O b'-1:lemma:contain'
390 +-0.266029 O b'+2:lemma:.'
391 +-0.266029 O b'+2:postag:.'
392 +-0.272384 O b'-1:postag:IN'
393 +-0.280150 O b'lemma:methanol'
394 +-0.280150 O b'-2:lemma:dissolve'
395 +-0.280766 Supp b'-2:postag:NNS'
396 +-0.281284 O b'+1:lemma:dissolve'
397 +-0.282125 O b'lemma:nitrogen'
398 +-0.286106 Air b'+2:postag:IN'
399 +-0.286614 Vess b'postag:NN'
400 +-0.290771 Supp b'+1:postag:VBN'
401 +-0.294029 O b'lemma:dissolve'
402 +-0.294029 O b'+2:lemma:methanol'
403 +-0.308167 O b'-2:lemma:mm'
404 +-0.308179 O b'+1:postag:VBG'
405 +-0.309130 O b'-1:postag::'
406 +-0.311264 O b'+1:lemma:%'
407 +-0.314557 Med b'+1:postag:NN'
408 +-0.317091 O b'lemma:ph'
409 +-0.319094 O b'-2:lemma:anaerobically'
410 +-0.325470 Supp b'+1:lemma:acetate'
411 +-0.329167 O b'-1:lemma:\xe2\x88\x86'
412 +-0.329997 O b'-2:lemma:rpob'
413 +-0.330702 Med b'-1:postag:CD'
414 +-0.340266 Supp b'-2:lemma:treat'
415 +-0.352446 Med b'+1:postag:IN'
416 +-0.354861 O b'-1:lemma:dfnr'
417 +-0.355419 Supp b'+1:postag:-RRB-'
418 +-0.355421 O b'+1:lemma:m'
419 +-0.357278 O b'+1:lemma:minimal'
420 +-0.359465 Supp b'+2:lemma:-rrb-'
421 +-0.367414 O b'-1:lemma:minimal'
422 +-0.370003 O b'+2:lemma:reference'
423 +-0.379815 Med b'+2:postag:VBN'
424 +-0.383359 O b'lemma:k-12'
425 +-0.387499 O b'-1:lemma:ml'
426 +-0.388508 O b'lemma:minimal'
427 +-0.388706 O b'+2:lemma:at'
428 +-0.392682 O b'-1:lemma:iptg'
429 +-0.399575 O b'-2:lemma:phase'
430 +-0.400445 O b'+1:lemma:supplement'
431 +-0.404432 Supp b'+2:postag:-RRB-'
432 +-0.408454 O b'-1:lemma:cra'
433 +-0.419658 Gtype b'-2:lemma:\xe2\x88\x86'
434 +-0.425412 Supp b'+1:lemma:rifampicin'
435 +-0.430592 O b'-1:lemma:37'
436 +-0.432588 O b'-2:lemma:genome'
437 +-0.439826 Supp b'+1:postag:NNS'
438 +-0.440081 O b'lemma:37'
439 +-0.442882 O b'lemma:fecl2'
440 +-0.451777 Air b'-1:postag:JJ'
441 +-0.458476 O b'-1:lemma:grow'
442 +-0.465492 Anti b'+2:postag:JJ'
443 +-0.467044 Supp b'-1:postag:NNP'
444 +-0.467062 O b'-2:lemma:glucose'
445 +-0.469267 O b'-2:lemma:aerobically'
446 +-0.471301 O b'+2:lemma:250'
447 +-0.471705 O b'+1:lemma:1m'
448 +-0.471705 O b'-2:lemma:vol'
449 +-0.473531 O b'-1:lemma:fresh'
450 +-0.492301 O b'+1:lemma:mm'
451 +-0.515099 O b'-2:lemma:dpd'
452 +-0.521569 O b'-1:lemma:dissolve'
453 +-0.521569 O b'+1:lemma:methanol'
454 +-0.529190 Med b'-2:postag:VBN'
455 +-0.533536 O b'+2:lemma:10'
456 +-0.541211 O b'lemma:\xe2\x88\x86'
457 +-0.552068 O b'+2:lemma:a'
458 +-0.552946 O b'-2:lemma:supplement'
459 +-0.553876 O b'lemma:nh4cl'
460 +-0.558873 O b'+1:lemma:g/l'
461 +-0.583192 O b'-2:postag:RB'
462 +-0.602995 O b'-2:lemma:fresh'
463 +-0.607129 Anti b'+1:lemma:anti-fur'
464 +-0.616470 O b'-2:lemma:until'
465 +-0.622508 Supp b'+1:lemma:-lrb-'
466 +-0.633942 O b'-1:lemma:co2'
467 +-0.644305 O b'-1:lemma:mm'
468 +-0.657904 Supp b'+1:lemma:,'
469 +-0.657904 Supp b'+1:postag:,'
470 +-0.660633 Supp b'+1:postag:-LRB-'
471 +-0.666254 O b'lemma:aerobically'
472 +-0.675920 O b'+2:lemma:add'
473 +-0.696030 O b'-2:lemma::'
474 +-0.728447 O b'lemma:anaerobically'
475 +-0.729069 Supp b'-2:postag:JJ'
476 +-0.750640 O b'lemma:mid-log'
477 +-0.757698 O b'+1:lemma:until'
478 +-0.764380 O b'-1:lemma:2'
479 +-0.774540 pH b'postag:NN'
480 +-0.777219 O b'-2:postag:DT'
481 +-0.791258 O b'+1:lemma:+'
482 +-0.799398 O b'-1:lemma:vol'
483 +-0.799398 O b'-2:lemma:1/100'
484 +-0.799398 O b'+2:lemma:1m'
485 +-0.804358 O b'-2:lemma:media'
486 +-0.826814 O b'lemma:2h'
487 +-0.826814 O b'-1:lemma:additional'
488 +-0.844528 O b'+2:lemma:then'
489 +-0.848644 O b'postag:VBP'
490 +-0.866499 O b'-1:lemma:rpob'
491 +-0.908725 O b'lemma:nitrate'
492 +-0.909674 O b'+1:lemma:2.0'
493 +-0.916868 Air b'+1:postag:JJ'
494 +-0.918767 O b'+2:postag:-RRB-'
495 +-0.919409 O b'-2:postag:SYM'
496 +-0.963818 O b'lemma:media'
497 +-0.964473 O b'-1:lemma:30'
498 +-0.973816 O b'lemma:aerobic'
499 +-0.982445 O b'+2:lemma:mid-log'
500 +-0.988785 Air b'postag:NN'
501 +-0.998382 Med b'-2:lemma:grow'
502 +-1.008737 O b'lemma:wt'
503 +-1.010487 O b'-1:lemma:ph'
504 +-1.024124 O b'+2:lemma:b'
505 +-1.040129 Temp b'postag:NN'
506 +-1.057545 O b'+2:lemma:+'
507 +-1.108476 O b'-2:lemma:0.3'
508 +-1.115369 O b'-1:lemma:1'
509 +-1.147864 O b'+2:lemma:fnr'
510 +-1.151725 O b'lemma:rifampicin'
511 +-1.174456 Anti b'+2:lemma:polyclonal'
512 +-1.209398 O b'+1:lemma:at'
513 +-1.221671 Phase b'-1:postag:JJ'
514 +-1.225571 O b'+1:lemma:in'
515 +-1.265681 O b'lemma:30'
516 +-1.278429 O b'-1:lemma:nsrr'
517 +-1.300006 O b'lemma:of'
518 +-1.305228 O b'-2:lemma:rifampicin'
519 +-1.327520 Phase b'postag:JJ'
520 +-1.341460 Gtype b'+2:lemma:cra'
521 +-1.349031 O b'-1:lemma:sample'
522 +-1.354421 OD b'+1:postag:NN'
523 +-1.384060 Supp b'+2:postag:CD'
524 +-1.402439 Supp b'+2:lemma:1'
525 +-1.421354 Supp b'postag:JJ'
526 +-1.452090 Supp b'+2:lemma:2'
527 +-1.469017 Supp b'+2:lemma:fructose'
528 +-1.483051 O b'lemma:\xce\xb4fur'
529 +-1.497875 O b'-1:postag:VBG'
530 +-1.616380 O b'+2:lemma:rifampicin'
531 +-1.618848 OD b'+2:lemma:aerobically'
532 +-1.638433 O b'lemma:0.3'
533 +-1.688434 O b'-1:lemma:IP'
534 +-1.782473 Gtype b'postag:VBG'
535 +-1.872064 Anti b'postag:NNP'
536 +-2.074764 O b'+1:lemma:1'
537 +-2.613257 O b'+1:lemma:2'
538 +-3.621417 O b'-1:lemma::'
539 +-4.047765 O b'-1:lemma:_'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.1226651147490872, 'c2': 0.0059614661118123965}
5 +best CV score:0.8803342557712798
6 +model size: 0.09M
7 +
8 +Flat F1: 0.7870322428727526
9 + precision recall f1-score support
10 +
11 + OD 0.720 0.818 0.766 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 0.857 0.828 0.842 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 0.878 0.847 0.862 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.703 0.813 0.754 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.792 0.792 0.787 451
28 +
29 +
30 +Top likely transitions:
31 +Agit -> Agit 6.546314
32 +Temp -> Temp 6.273908
33 +Med -> Med 5.505671
34 +OD -> OD 5.123355
35 +Supp -> Supp 4.942859
36 +Gversion -> Gversion 4.729429
37 +Anti -> Anti 4.720916
38 +O -> O 4.426960
39 +Technique -> Technique 4.406068
40 +Phase -> Phase 4.280949
41 +Gtype -> Gtype 3.891716
42 +Air -> Air 3.810675
43 +pH -> pH 2.819825
44 +O -> Technique 1.044775
45 +Substrain -> Gtype 0.705848
46 +Air -> O 0.556302
47 +O -> Supp 0.379959
48 +O -> Gtype 0.375188
49 +Gtype -> Supp 0.243828
50 +Temp -> O 0.177380
51 +Supp -> O 0.169874
52 +Med -> O 0.125191
53 +O -> Anti 0.110740
54 +Technique -> Air 0.060678
55 +Phase -> O 0.013007
56 +O -> Phase 0.000798
57 +Gtype -> Air 0.000572
58 +Gversion -> O -0.000102
59 +Technique -> pH -0.016599
60 +O -> OD -0.024272
61 +O -> Med -0.119569
62 +Supp -> Technique -0.216815
63 +OD -> O -0.243487
64 +Gtype -> Technique -0.497025
65 +Technique -> O -0.605664
66 +O -> Air -0.748418
67 +Gtype -> Med -0.888115
68 +Gtype -> O -1.060047
69 +Substrain -> O -1.304321
70 +Med -> Supp -2.225828
71 +
72 +
73 +Top unlikely transitions:
74 +Agit -> Agit 6.546314
75 +Temp -> Temp 6.273908
76 +Med -> Med 5.505671
77 +OD -> OD 5.123355
78 +Supp -> Supp 4.942859
79 +Gversion -> Gversion 4.729429
80 +Anti -> Anti 4.720916
81 +O -> O 4.426960
82 +Technique -> Technique 4.406068
83 +Phase -> Phase 4.280949
84 +Gtype -> Gtype 3.891716
85 +Air -> Air 3.810675
86 +pH -> pH 2.819825
87 +O -> Technique 1.044775
88 +Substrain -> Gtype 0.705848
89 +Air -> O 0.556302
90 +O -> Supp 0.379959
91 +O -> Gtype 0.375188
92 +Gtype -> Supp 0.243828
93 +Temp -> O 0.177380
94 +Supp -> O 0.169874
95 +Med -> O 0.125191
96 +O -> Anti 0.110740
97 +Technique -> Air 0.060678
98 +Phase -> O 0.013007
99 +O -> Phase 0.000798
100 +Gtype -> Air 0.000572
101 +Gversion -> O -0.000102
102 +Technique -> pH -0.016599
103 +O -> OD -0.024272
104 +O -> Med -0.119569
105 +Supp -> Technique -0.216815
106 +OD -> O -0.243487
107 +Gtype -> Technique -0.497025
108 +Technique -> O -0.605664
109 +O -> Air -0.748418
110 +Gtype -> Med -0.888115
111 +Gtype -> O -1.060047
112 +Substrain -> O -1.304321
113 +Med -> Supp -2.225828
114 +
115 +
116 +Top positive:
117 +7.575252 O b'lemma:2'
118 +6.809640 Air b'word[:2]:Ae'
119 +6.662167 O b'lemma:1'
120 +6.403734 O b'word[:2]:re'
121 +6.054204 Anti b'-2:lemma:antibody'
122 +5.739687 O b'lemma:3'
123 +5.489244 Gtype b'word[:1]:\xce\x94'
124 +5.302961 Technique b'word[:2]:Ch'
125 +5.137089 O b'-2:lemma:_'
126 +5.097720 O b'lemma:with'
127 +4.688056 Air b'word[:2]:An'
128 +4.594330 O b'lemma:-'
129 +4.473065 Substrain b'word[:2]:MG'
130 +4.408720 Phase b'-2:lemma:phase'
131 +4.331788 O b'postag:IN'
132 +4.219811 O b'lemma:a'
133 +4.171346 Air b'lemma:anaerobic'
134 +4.154474 Phase b'lemma:mid-log'
135 +4.118404 Gtype b'-1:lemma:\xe2\x88\x86'
136 +4.098792 O b'postag:CC'
137 +4.072045 O b'-1:lemma:tag'
138 +3.984012 O b'+2:lemma:\xc2\xb0c'
139 +3.862377 O b'lemma:.'
140 +3.862377 O b'postag:.'
141 +3.844935 O b'+2:lemma:cra'
142 +3.743179 Gversion b'lemma:chip-seq'
143 +3.675544 O b'postag:VBN'
144 +3.627422 Supp b'lemma:arginine'
145 +3.618052 O b'lemma:_'
146 +3.618052 O b'word[:1]:_'
147 +3.608645 Supp b'word[:2]:ni'
148 +3.520948 Technique b'word[:2]:RN'
149 +3.500782 Supp b'-1:lemma:Cra'
150 +3.401140 Air b'postag:RB'
151 +3.388544 Gtype b'lemma:type'
152 +3.388544 Gtype b'word[:2]:ty'
153 +3.357883 Med b'lemma:MOPS'
154 +3.357883 Med b'word[:2]:MO'
155 +3.356317 Supp b'+1:lemma:\xc2\xb5m'
156 +3.344199 O b'-2:lemma:medium'
157 +3.257816 Supp b'lemma:Iron'
158 +3.257816 Supp b'word[:2]:Ir'
159 +3.257816 Supp b'-2:lemma:Anaerobic'
160 +3.226031 Supp b'+2:lemma:iptg'
161 +3.178102 Supp b'-1:lemma:with'
162 +3.157084 Gtype b'word[:2]:Fl'
163 +3.102194 O b'word[:1]:G'
164 +3.053652 O b'-1:lemma:anaerobic'
165 +3.026889 O b'word[:2]:ge'
166 +2.969238 Med b'+2:postag:CC'
167 +2.948927 O b'-1:lemma:\xc2\xb0c'
168 +2.927664 O b'-1:lemma:glucose'
169 +2.925690 O b'+1:lemma:pq'
170 +2.916048 O b'-1:lemma:0.3'
171 +2.909720 Gtype b'lemma:wt'
172 +2.897608 Supp b'lemma:acetate'
173 +2.896988 O b'-1:lemma:lb'
174 +2.865201 Temp b'-1:lemma:sample'
175 +2.856196 Gtype b'-2:lemma:genotype/variation'
176 +2.769228 Supp b'word[:1]:I'
177 +2.666120 O b'word[:1]:S'
178 +2.649328 Supp b'+1:lemma:1'
179 +2.649075 Gtype b'-2:lemma:delta'
180 +2.642282 pH b'word[:2]:pH'
181 +2.634945 Anti b'+1:lemma:antibody'
182 +2.626979 Strain b'+1:lemma:substr'
183 +2.626979 Strain b'-2:lemma:str'
184 +2.616241 Gtype b'word[:1]:d'
185 +2.594465 O b'postag::'
186 +2.590957 O b'word[:2]:Cr'
187 +2.572107 O b'word[:1]:B'
188 +2.554486 Phase b'word[:2]:ex'
189 +2.536212 O b'-1:lemma:media'
190 +2.524774 Anti b'+2:lemma:antibody'
191 +2.488471 O b'-2:lemma:myc'
192 +2.482474 Supp b'lemma:nacl'
193 +2.459061 O b'word[:2]:ha'
194 +2.450073 Supp b'-1:postag:CC'
195 +2.444363 Gtype b'word[:1]:W'
196 +2.438081 Supp b'-1:lemma:+'
197 +2.395443 Supp b'word[:2]:Fe'
198 +2.329329 Supp b'lemma:pq'
199 +2.329329 Supp b'word[:2]:PQ'
200 +2.326544 Med b'word[:1]:M'
201 +2.324335 O b'+1:postag:RB'
202 +2.306092 Substrain b'word[:1]:M'
203 +2.304851 Air b'word[:1]:A'
204 +2.293822 Phase b'-2:lemma:until'
205 +2.252925 Gtype b'word[:2]:PK'
206 +2.249470 Gtype b'-2:postag:DT'
207 +2.241387 O b'word[:1]:R'
208 +2.215324 Gtype b'lemma:nsrr'
209 +2.215324 Gtype b'word[:2]:Ns'
210 +2.215274 OD b'word[:1]:O'
211 +2.191687 O b'postag:DT'
212 +2.188516 Supp b'-2:lemma:induce'
213 +2.177885 Supp b'+2:lemma:rifampicin'
214 +2.164470 Supp b'lemma:fructose'
215 +2.153102 Phase b'lemma:stationary'
216 +2.149132 O b'lemma:0.4'
217 +2.135722 O b'lemma:b'
218 +2.124012 Supp b'+1:lemma:2'
219 +2.122572 O b'postag:VBD'
220 +2.116686 O b'lemma:purr'
221 +2.085879 O b'+1:lemma:arca-8myc'
222 +2.083414 O b'+1:postag:NNP'
223 +2.075593 O b'lemma:growth'
224 +2.055319 Gtype b'lemma:\xe2\x88\x86'
225 +2.055319 Gtype b'word[:1]:\xe2\x88\x86'
226 +2.048280 Med b'word[:1]:L'
227 +2.012888 Temp b'-2:lemma:\xcf\x8332'
228 +2.007442 Supp b'-2:lemma:for'
229 +2.006901 O b'lemma:argr'
230 +2.005941 O b'word[:2]:Rp'
231 +1.980113 O b'-1:lemma:aerobically'
232 +1.969163 O b'word[:1]:c'
233 +1.964013 Supp b'lemma:Leu'
234 +1.964013 Supp b'word[:2]:Le'
235 +1.964013 Supp b'-2:lemma:Lrp'
236 +1.955566 Temp b'-2:lemma:30'
237 +1.937909 Gtype b'lemma:flag-tag'
238 +1.937909 Gtype b'-1:lemma:c-terminal'
239 +1.931820 Med b'+2:lemma:b2'
240 +1.926115 Gtype b'word[:1]:F'
241 +1.924551 Supp b'word[:2]:gl'
242 +1.923659 Gtype b'-1:lemma:vector'
243 +1.919359 Temp b'lemma:43'
244 +1.919359 Temp b'word[:2]:43'
245 +1.905770 Gtype b'+2:lemma:glucose'
246 +1.901138 Temp b'-1:lemma:\xcf\x8332'
247 +1.896040 Air b'+1:postag:IN'
248 +1.895113 Technique b'word[:1]:R'
249 +1.891367 O b'+1:lemma:250'
250 +1.890079 O b'+2:lemma:70'
251 +1.889582 Supp b'-2:lemma:media'
252 +1.886753 O b'-1:lemma:Aerobic'
253 +1.881608 O b'word[:2]:In'
254 +1.873786 O b'-2:lemma:fructose'
255 +1.861532 O b'word[:2]:Cu'
256 +1.859000 O b'-2:lemma:ChIP-Seq'
257 +1.840363 Temp b'+2:postag:DT'
258 +1.822321 Gtype b'-1:lemma:rpob'
259 +1.816828 Temp b'-1:lemma:43'
260 +1.814588 O b'word[:1]:-'
261 +1.800198 O b'lemma:ompr'
262 +1.800198 O b'word[:2]:Om'
263 +1.797377 Temp b'word[:1]:3'
264 +1.790537 Gtype b'+1:lemma:type'
265 +1.781626 Supp b'-2:lemma:agent'
266 +1.776197 O b'lemma:harbor'
267 +1.766609 Med b'+1:lemma:0.4'
268 +1.759749 O b'-2:lemma:\xe2\x88\x86'
269 +1.755643 Supp b'word[:2]:ac'
270 +1.740069 Med b'lemma:broth'
271 +1.740069 Med b'-1:lemma:L'
272 +1.740069 Med b'word[:2]:br'
273 +1.738945 Supp b'-1:lemma:_'
274 +1.738689 Phase b'-1:lemma:mid-log'
275 +1.736794 O b'lemma:ml'
276 +1.736794 O b'word[:2]:ml'
277 +1.723796 O b'+2:postag:JJ'
278 +1.674359 O b'+1:lemma:mid-log'
279 +1.669011 O b'-1:postag:NNS'
280 +1.668164 O b'postag:VBG'
281 +1.662173 O b'+1:lemma:od600'
282 +1.661476 Supp b'-1:lemma:final'
283 +1.654403 Supp b'lemma:rifampicin'
284 +1.652994 Gtype b'word[:1]:w'
285 +1.648808 pH b'word[:1]:p'
286 +1.646604 O b'word[:2]:Pu'
287 +1.633654 O b'+2:lemma:fructose'
288 +1.630978 Supp b'word[:2]:ri'
289 +1.623384 Gtype b'+1:lemma:with'
290 +1.614375 Supp b'lemma:Adenine'
291 +1.614375 Supp b'word[:2]:Ad'
292 +1.596390 O b'lemma:at'
293 +1.588885 Med b'lemma:L'
294 +1.588885 Med b'+1:lemma:broth'
295 +1.583682 O b'-2:postag:FW'
296 +1.554727 Supp b'-2:lemma:supplement'
297 +1.549286 O b'word[:2]:ch'
298 +1.545587 O b'-1:lemma:type'
299 +1.543468 Gtype b'-2:lemma:genotype'
300 +1.542533 Med b'+2:lemma:b1'
301 +1.538337 O b'+1:lemma:chip-seq'
302 +1.537052 Gtype b'word[:2]:WT'
303 +1.520544 Air b'word[:1]:a'
304 +1.520380 Gtype b'hGreek'
305 +1.520335 O b'lemma:A'
306 +1.516773 Air b'-2:lemma:%'
307 +1.514240 Supp b'lemma:no3'
308 +1.514240 Supp b'word[:2]:NO'
309 +1.492873 Gversion b'lemma:.2'
310 +1.492873 Gversion b'-1:lemma:u00096'
311 +1.492873 Gversion b'word[:2]:.2'
312 +1.488140 O b'+2:lemma:allow'
313 +1.476148 O b'word[:1]:h'
314 +1.475371 Supp b'-1:lemma:vol'
315 +1.475371 Supp b'-2:lemma:1/100'
316 +1.475371 Supp b'+2:lemma:1m'
317 +
318 +
319 +Top negative:
320 +-0.162054 Phase b'-2:postag:NN'
321 +-0.163078 Gtype b'word[:1]:-'
322 +-0.164615 Supp b'+2:lemma:glucose'
323 +-0.165684 O b'-1:lemma:30'
324 +-0.169375 Supp b'+1:postag:-RRB-'
325 +-0.170442 Med b'+1:postag:IN'
326 +-0.172422 O b'+1:postag:-RRB-'
327 +-0.174439 O b'word[:2]:ae'
328 +-0.175236 Supp b'-2:postag:-LRB-'
329 +-0.177435 Temp b'hGreek'
330 +-0.181562 O b'lemma:of'
331 +-0.181562 O b'word[:2]:of'
332 +-0.184084 O b'+1:lemma:-rrb-'
333 +-0.189656 O b'+2:lemma:at'
334 +-0.190247 O b'word[:2]:0.'
335 +-0.194061 O b'+2:lemma:until'
336 +-0.195801 O b'-2:postag:SYM'
337 +-0.202103 O b'-1:lemma:0.2'
338 +-0.203062 O b'-2:lemma:30'
339 +-0.203787 Supp b'+2:postag:NNP'
340 +-0.211804 O b'lemma:co2'
341 +-0.211804 O b'word[:2]:CO'
342 +-0.213063 O b'-2:lemma:2'
343 +-0.216419 O b'-1:lemma:until'
344 +-0.216729 O b'lemma:1m'
345 +-0.216729 O b'word[:2]:1M'
346 +-0.221397 O b'-2:lemma:genome'
347 +-0.225533 Air b'+2:lemma:95'
348 +-0.228195 O b'-1:lemma:g/l'
349 +-0.228754 Supp b'+2:lemma:-rrb-'
350 +-0.236812 O b'-1:lemma:iptg'
351 +-0.242981 O b'-2:lemma:10'
352 +-0.249890 Supp b'+2:postag:-RRB-'
353 +-0.253101 Supp b'-1:postag:NNP'
354 +-0.254872 O b'word[:1]:2'
355 +-0.258890 Supp b'-1:lemma:-lrb-'
356 +-0.259217 O b'-1:lemma:minimal'
357 +-0.261201 O b'-2:postag:-LRB-'
358 +-0.263028 O b'+1:lemma:phosphate'
359 +-0.263082 O b'lemma:methanol'
360 +-0.263082 O b'-2:lemma:dissolve'
361 +-0.269144 O b'+1:lemma:.'
362 +-0.269144 O b'+1:postag:.'
363 +-0.271418 O b'+1:lemma:1/100'
364 +-0.271418 O b'-2:lemma:sodium'
365 +-0.271418 O b'+2:lemma:vol'
366 +-0.272080 Temp b'postag:NN'
367 +-0.277250 O b'lemma:nitrate'
368 +-0.277269 O b'-2:lemma:phase'
369 +-0.280720 O b'word[:2]:Fe'
370 +-0.292805 O b'-1:lemma:control'
371 +-0.294148 Gtype b'word[:1]:h'
372 +-0.311048 Gversion b'-1:postag:NN'
373 +-0.314490 Med b'+2:postag:VBN'
374 +-0.322935 Supp b'lemma:10'
375 +-0.323427 O b'-2:lemma:anaerobically'
376 +-0.325607 O b'word[:2]:OD'
377 +-0.329365 O b'lemma:media'
378 +-0.333354 O b'-2:lemma:at'
379 +-0.333503 O b'lemma:wt'
380 +-0.333755 O b'-2:lemma:aerobically'
381 +-0.335336 OD b'hUpper'
382 +-0.335336 OD b'hLower'
383 +-0.335952 O b'lemma:aerobically'
384 +-0.338742 O b'word[:1]:K'
385 +-0.340286 O b'+2:lemma:-rrb-'
386 +-0.344360 Supp b'-1:postag:-LRB-'
387 +-0.350896 O b'-1:lemma:of'
388 +-0.352645 Med b'-2:postag:IN'
389 +-0.354858 O b'-1:lemma:1m'
390 +-0.354858 O b'+2:lemma:7.6'
391 +-0.372252 Supp b'symb'
392 +-0.378465 O b'word[:2]:ri'
393 +-0.381134 Phase b'+1:postag:NN'
394 +-0.384639 O b'-2:lemma:pahse'
395 +-0.391314 O b'+1:lemma:1m'
396 +-0.391314 O b'-2:lemma:vol'
397 +-0.397247 O b'-1:lemma:sodium'
398 +-0.397247 O b'+2:lemma:1/100'
399 +-0.409851 O b'+1:lemma:supplement'
400 +-0.413141 O b'-1:lemma:37'
401 +-0.413339 O b'lemma:rifampicin'
402 +-0.414986 O b'+2:lemma:10'
403 +-0.415120 O b'+1:lemma:+'
404 +-0.416764 O b'+2:lemma:ph'
405 +-0.432602 O b'word[:1]:F'
406 +-0.434646 Med b'-1:postag:NN'
407 +-0.435221 O b'-1:lemma:dissolve'
408 +-0.435221 O b'+1:lemma:methanol'
409 +-0.438173 Anti b'+2:postag:JJ'
410 +-0.438380 O b'lemma:30'
411 +-0.438561 O b'lemma:2h'
412 +-0.438561 O b'-1:lemma:additional'
413 +-0.438561 O b'word[:2]:2h'
414 +-0.438599 Gtype b'+1:lemma:-rrb-'
415 +-0.448423 O b'lemma:sodium'
416 +-0.448756 O b'+1:lemma:_'
417 +-0.449001 Supp b'-2:postag:JJ'
418 +-0.453606 O b'word[:1]:0'
419 +-0.454508 O b'-2:postag:DT'
420 +-0.456094 O b'-2:lemma:dpd'
421 +-0.459173 O b'-2:lemma:supplement'
422 +-0.461268 O b'word[:2]:gl'
423 +-0.474879 Anti b'+2:lemma:polyclonal'
424 +-0.477585 O b'lemma:anaerobically'
425 +-0.477773 Supp b'+1:postag:NNS'
426 +-0.479099 O b'-1:lemma:IP'
427 +-0.482821 Supp b'word[:2]:an'
428 +-0.485864 O b'+1:lemma:g/l'
429 +-0.488474 O b'-2:lemma:IP'
430 +-0.491811 Gtype b'postag:VBG'
431 +-0.492017 O b'-1:lemma:\xe2\x88\x86'
432 +-0.495222 O b'+2:postag:-RRB-'
433 +-0.498620 Anti b'+1:lemma:anti-fur'
434 +-0.499738 Med b'symb'
435 +-0.502087 O b'+2:lemma:tag'
436 +-0.520791 O b'+2:lemma:add'
437 +-0.549562 O b'-1:lemma:mm'
438 +-0.588913 O b'+1:lemma:until'
439 +-0.589527 O b'word[:2]:pH'
440 +-0.594102 O b'+2:lemma:.'
441 +-0.594102 O b'+2:postag:.'
442 +-0.605760 O b'-1:lemma:ph'
443 +-0.618761 Agit b'symb'
444 +-0.622723 O b'-2:postag::'
445 +-0.638337 Agit b'hUpper'
446 +-0.638337 Agit b'hLower'
447 +-0.641043 Supp b'word[:1]:C'
448 +-0.660369 O b'lemma:mid-log'
449 +-0.661070 O b'+1:lemma:mm'
450 +-0.661103 O b'word[:2]:mg'
451 +-0.665736 O b'+1:lemma:2.0'
452 +-0.668595 O b'word[:2]:ni'
453 +-0.678332 O b'-1:lemma:rpob'
454 +-0.688468 O b'-1:lemma:nsrr'
455 +-0.704290 Supp b'+1:lemma:-lrb-'
456 +-0.704703 Gtype b'+2:lemma:cra'
457 +-0.711182 Med b'-2:postag:VBN'
458 +-0.719312 O b'+2:lemma:a'
459 +-0.720089 O b'-1:lemma:grow'
460 +-0.723645 Supp b'+1:postag:-LRB-'
461 +-0.729817 O b'-2:lemma:glucose'
462 +-0.736832 O b'word[:2]:me'
463 +-0.752358 O b'-2:lemma:until'
464 +-0.753413 O b'-2:postag:RB'
465 +-0.757806 Air b'-1:postag:JJ'
466 +-0.783439 Supp b'+1:lemma:,'
467 +-0.783439 Supp b'+1:postag:,'
468 +-0.848095 O b'-2:lemma::'
469 +-0.852042 O b'-1:lemma:final'
470 +-0.866705 Air b'postag:NN'
471 +-0.881470 O b'+2:lemma:mid-log'
472 +-0.881613 O b'-1:postag::'
473 +-0.885739 OD b'+1:postag:NN'
474 +-0.896826 O b'+2:lemma:+'
475 +-0.916693 O b'postag:RB'
476 +-0.920471 O b'-1:lemma:co2'
477 +-0.941388 Supp b'+2:postag:CD'
478 +-0.944176 O b'word[:2]:fl'
479 +-0.945676 Supp b'postag:JJ'
480 +-0.952271 O b'+1:postag:IN'
481 +-0.963704 Gtype b'word[:1]:C'
482 +-0.984734 O b'postag:VBP'
483 +-1.006778 O b'word[:1]:d'
484 +-1.044447 Phase b'hUpper'
485 +-1.044447 Phase b'hLower'
486 +-1.052063 O b'+2:lemma:fnr'
487 +-1.114096 O b'-1:lemma:cra'
488 +-1.134157 O b'+1:lemma:at'
489 +-1.135934 Supp b'+2:lemma:fructose'
490 +-1.208365 O b'-1:lemma:vol'
491 +-1.208365 O b'-2:lemma:1/100'
492 +-1.208365 O b'+2:lemma:1m'
493 +-1.221260 O b'+2:lemma:then'
494 +-1.299098 O b'-1:lemma:1'
495 +-1.312469 Phase b'-1:postag:JJ'
496 +-1.321864 O b'-2:lemma:0.3'
497 +-1.350629 O b'word[:1]:N'
498 +-1.379890 Med b'-2:lemma:grow'
499 +-1.438599 O b'+1:lemma:in'
500 +-1.474734 Technique b'postag:NN'
501 +-1.506938 O b'lemma:0.3'
502 +-1.612245 O b'-2:lemma:media'
503 +-1.629029 Supp b'+2:lemma:2'
504 +-1.633213 O b'-1:lemma:2'
505 +-1.647783 O b'+2:lemma:rifampicin'
506 +-1.680381 O b'-1:postag:VBG'
507 +-1.728533 Anti b'postag:NNP'
508 +-1.775531 O b'word[:2]:30'
509 +-1.801903 Supp b'+2:lemma:1'
510 +-1.869306 O b'-2:lemma:rifampicin'
511 +-2.061187 O b'-1:lemma:sample'
512 +-2.202629 Phase b'postag:JJ'
513 +-2.454625 O b'word[:2]:Ch'
514 +-2.471569 O b'word[:1]:P'
515 +-2.513568 O b'+1:lemma:1'
516 +-2.695155 OD b'+2:lemma:aerobically'
517 +-3.362641 O b'+1:lemma:2'
518 +-4.267606 O b'-1:lemma::'
519 +-5.439386 O b'-1:lemma:_'
520 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.08021472274752509, 'c2': 0.027005041681951836}
5 +best CV score:0.8779980427772918
6 +model size: 0.14M
7 +
8 +Flat F1: 0.7956040707847014
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 0.882 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 0.882 0.882 0.882 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.713 0.799 0.754 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.814 0.787 0.796 451
28 +
29 +
30 +Top likely transitions:
31 +Temp -> Temp 5.388784
32 +OD -> OD 5.140817
33 +Agit -> Agit 5.132255
34 +Med -> Med 4.721438
35 +Supp -> Supp 4.664079
36 +Anti -> Anti 4.454963
37 +Phase -> Phase 4.208793
38 +Gtype -> Gtype 4.106042
39 +Gversion -> Gversion 3.988002
40 +O -> O 3.877714
41 +Air -> Air 3.520636
42 +Technique -> Technique 3.339322
43 +pH -> pH 2.756365
44 +Substrain -> Gtype 1.679774
45 +O -> Technique 0.976956
46 +Gtype -> Supp 0.888340
47 +O -> Gtype 0.667038
48 +Gtype -> Air 0.494333
49 +O -> Supp 0.432374
50 +Gtype -> pH 0.400152
51 +Air -> O 0.329339
52 +Technique -> Air 0.314540
53 +Temp -> O 0.185583
54 +Med -> O 0.110105
55 +Supp -> O 0.051605
56 +O -> Temp 0.006740
57 +O -> Phase -0.001639
58 +pH -> Supp -0.012353
59 +Med -> Air -0.021759
60 +Air -> Agit -0.033843
61 +Phase -> Air -0.037477
62 +Anti -> Supp -0.046737
63 +O -> Agit -0.058265
64 +Vess -> O -0.085300
65 +Gversion -> O -0.093271
66 +Supp -> Gtype -0.153393
67 +Supp -> Air -0.154232
68 +Gversion -> Supp -0.158359
69 +OD -> Supp -0.173307
70 +Agit -> Air -0.179206
71 +Phase -> O -0.181634
72 +Anti -> O -0.199623
73 +Phase -> OD -0.205312
74 +O -> OD -0.243252
75 +Gtype -> Anti -0.275895
76 +Agit -> O -0.297460
77 +OD -> Air -0.307988
78 +Technique -> pH -0.314407
79 +OD -> O -0.327494
80 +Technique -> O -0.386077
81 +
82 +
83 +Top unlikely transitions:
84 +pH -> pH 2.756365
85 +Substrain -> Gtype 1.679774
86 +O -> Technique 0.976956
87 +Gtype -> Supp 0.888340
88 +O -> Gtype 0.667038
89 +Gtype -> Air 0.494333
90 +O -> Supp 0.432374
91 +Gtype -> pH 0.400152
92 +Air -> O 0.329339
93 +Technique -> Air 0.314540
94 +Temp -> O 0.185583
95 +Med -> O 0.110105
96 +Supp -> O 0.051605
97 +O -> Temp 0.006740
98 +O -> Phase -0.001639
99 +pH -> Supp -0.012353
100 +Med -> Air -0.021759
101 +Air -> Agit -0.033843
102 +Phase -> Air -0.037477
103 +Anti -> Supp -0.046737
104 +O -> Agit -0.058265
105 +Vess -> O -0.085300
106 +Gversion -> O -0.093271
107 +Supp -> Gtype -0.153393
108 +Supp -> Air -0.154232
109 +Gversion -> Supp -0.158359
110 +OD -> Supp -0.173307
111 +Agit -> Air -0.179206
112 +Phase -> O -0.181634
113 +Anti -> O -0.199623
114 +Phase -> OD -0.205312
115 +O -> OD -0.243252
116 +Gtype -> Anti -0.275895
117 +Agit -> O -0.297460
118 +OD -> Air -0.307988
119 +Technique -> pH -0.314407
120 +OD -> O -0.327494
121 +Technique -> O -0.386077
122 +O -> Med -0.415206
123 +Phase -> Supp -0.417896
124 +Gtype -> Technique -0.431421
125 +Air -> Supp -0.649044
126 +Supp -> Med -0.707950
127 +Gtype -> Med -0.744940
128 +Air -> Med -0.785274
129 +Gtype -> O -0.922070
130 +O -> Air -0.953447
131 +Technique -> Gtype -1.117886
132 +Substrain -> O -1.261444
133 +Med -> Supp -1.996253
134 +
135 +
136 +Top positive:
137 +5.209266 Anti b'-2:lemma:antibody'
138 +4.636548 Air b'word:Aerobic'
139 +4.563533 O b'-2:lemma:_'
140 +3.873699 Air b'lemma:anaerobic'
141 +3.819274 Technique b'word:ChIP-Seq'
142 +3.473174 Air b'postag:RB'
143 +3.322114 Gtype b'-2:lemma:genotype/variation'
144 +3.225119 O b'lemma:_'
145 +3.225119 O b'word:_'
146 +3.207626 O b'word:Cra'
147 +3.196439 O b'lemma:2'
148 +3.196439 O b'word:2'
149 +3.188154 O b'postag:IN'
150 +3.118289 Phase b'-2:lemma:phase'
151 +3.010588 O b'lemma:1'
152 +3.010588 O b'word:1'
153 +2.977143 O b'-1:lemma:ChIP-exo'
154 +2.908964 Technique b'word:ChIP-exo'
155 +2.879517 Technique b'lemma:rna-seq'
156 +2.849540 Supp b'lemma:pq'
157 +2.849540 Supp b'word:PQ'
158 +2.843713 Gtype b'lemma:wild-type'
159 +2.797382 O b'-2:lemma:flagtag'
160 +2.727206 Gtype b'-2:lemma:genotype'
161 +2.725314 Supp b'lemma:nh4cl'
162 +2.719430 Technique b'word:ChIPSeq'
163 +2.689034 O b'postag::'
164 +2.685688 Supp b'-1:word:Cra'
165 +2.678793 Air b'word:Anaerobic'
166 +2.665007 Gtype b'word:WT'
167 +2.645459 Gtype b'lemma:wt'
168 +2.625521 Technique b'lemma:ChIP-exo'
169 +2.608931 O b'lemma:.'
170 +2.608931 O b'postag:.'
171 +2.608931 O b'word:.'
172 +2.573935 Gtype b'lemma:type'
173 +2.573935 Gtype b'word:type'
174 +2.549931 O b'-2:lemma:medium'
175 +2.537319 O b'lemma:3'
176 +2.537319 O b'word:3'
177 +2.427062 O b'+1:postag:RB'
178 +2.424260 O b'lemma:-'
179 +2.424260 O b'word:-'
180 +2.419048 Gtype b'-2:lemma:affyexp'
181 +2.394367 Phase b'lemma:mid-log'
182 +2.394367 Phase b'word:mid-log'
183 +2.378379 O b'lemma:rpob'
184 +2.378379 O b'word:RpoB'
185 +2.361578 Supp b'+2:lemma:iptg'
186 +2.347760 Gtype b'lemma:\xce\xb4cra'
187 +2.343560 Gtype b'word:\xce\x94cra'
188 +2.293225 Gtype b'-2:postag:DT'
189 +2.263496 O b'postag:VBN'
190 +2.203079 Supp b'lemma:Iron'
191 +2.203079 Supp b'word:Iron'
192 +2.203079 Supp b'+1:word:Deficient'
193 +2.203079 Supp b'-2:lemma:Anaerobic'
194 +2.187753 O b'+2:lemma:\xc2\xb0c'
195 +2.174225 Technique b'lemma:chipseq'
196 +2.117805 Med b'lemma:MOPS'
197 +2.117805 Med b'word:MOPS'
198 +2.105813 O b'lemma:b'
199 +2.105813 O b'word:B'
200 +2.071927 Supp b'lemma:acetate'
201 +2.071927 Supp b'word:acetate'
202 +2.071919 Supp b'lemma:no3'
203 +2.071919 Supp b'word:NO3'
204 +2.055002 Supp b'lemma:arginine'
205 +2.035285 O b'word:A'
206 +2.016143 Gtype b'+1:lemma:type'
207 +2.016143 Gtype b'+1:word:type'
208 +2.009171 O b'+2:postag:JJ'
209 +1.999599 Supp b'lemma:nacl'
210 +1.999599 Supp b'word:NaCl'
211 +1.999489 Anti b'+2:lemma:antibody'
212 +1.985618 Gtype b'lemma:\xe2\x88\x86'
213 +1.985618 Gtype b'word:\xe2\x88\x86'
214 +1.978131 Technique b'+2:lemma:ph5'
215 +1.976542 O b'-1:word:Aerobic'
216 +1.941068 pH b'+1:postag:CD'
217 +1.938974 O b'lemma:a'
218 +1.902900 Supp b'-1:lemma:with'
219 +1.902900 Supp b'-1:word:with'
220 +1.901213 Gtype b'-1:lemma:\xe2\x88\x86'
221 +1.901213 Gtype b'-1:word:\xe2\x88\x86'
222 +1.887695 Med b'+2:postag:CC'
223 +1.876457 O b'-1:lemma:tag'
224 +1.873546 Gtype b'-2:lemma:delta'
225 +1.857185 Gtype b'lemma:flag-tag'
226 +1.857185 Gtype b'-1:lemma:c-terminal'
227 +1.857185 Gtype b'word:Flag-tag'
228 +1.857185 Gtype b'-1:word:C-terminal'
229 +1.856146 Air b'lemma:Aerobic'
230 +1.838321 Substrain b'lemma:mg1655'
231 +1.838321 Substrain b'word:MG1655'
232 +1.823456 Technique b'lemma:rnaseq'
233 +1.823456 Technique b'word:RNASeq'
234 +1.808424 O b'postag:CC'
235 +1.786772 Supp b'lemma:glucose'
236 +1.786772 Supp b'word:glucose'
237 +1.780540 O b'-2:lemma:myc'
238 +1.770799 Gversion b'lemma:chip-seq'
239 +1.753973 O b'lemma:ompr'
240 +1.753973 O b'word:OmpR'
241 +1.753471 Supp b'+1:lemma:\xc2\xb5m'
242 +1.753471 Supp b'+1:word:\xc2\xb5M'
243 +1.740692 Air b'word:anaerobic'
244 +1.736806 Gtype b'+2:lemma:glucose'
245 +1.735768 Gversion b'-2:lemma:nc'
246 +1.720567 Substrain b'-2:lemma:substr'
247 +1.719577 Supp b'-1:postag:CC'
248 +1.715683 Gtype b'lemma:\xce\xb4soxr'
249 +1.715683 Gtype b'word:\xce\x94soxR'
250 +1.704129 Technique b'word:RNA-Seq'
251 +1.703347 Gversion b'word:ChIP-Seq'
252 +1.700970 Phase b'lemma:exponential'
253 +1.700970 Phase b'word:exponential'
254 +1.700970 Phase b'lemma:stationary'
255 +1.700970 Phase b'word:stationary'
256 +1.697610 Supp b'lemma:nitrate'
257 +1.697610 Supp b'word:nitrate'
258 +1.694771 Gtype b'lemma:\xce\xb4fur'
259 +1.694771 Gtype b'word:\xce\x94fur'
260 +1.679649 Supp b'-2:lemma:media'
261 +1.678872 O b'postag:VBG'
262 +1.675866 O b'lemma:chip'
263 +1.670928 O b'+1:postag:NNP'
264 +1.665585 O b'lemma:with'
265 +1.665585 O b'word:with'
266 +1.664286 Technique b'-1:lemma:chip-exo'
267 +1.660487 O b'-1:lemma:0.3'
268 +1.660487 O b'-1:word:0.3'
269 +1.652275 Supp b'-1:lemma:Cra'
270 +1.650781 Supp b'lemma:rifampicin'
271 +1.650781 Supp b'word:rifampicin'
272 +1.616567 O b'isLower'
273 +1.615630 O b'-1:lemma:lb'
274 +1.615630 O b'-1:word:LB'
275 +1.611807 Med b'isUpper'
276 +1.602289 O b'lemma:harbor'
277 +1.602289 O b'word:harboring'
278 +1.600482 O b'+1:word:ChIP-Seq'
279 +1.598776 Strain b'+1:lemma:substr'
280 +1.598776 Strain b'+1:word:substr'
281 +1.598776 Strain b'-2:lemma:str'
282 +1.595708 O b'+2:lemma:polyclonal'
283 +1.581382 O b'+2:lemma:70'
284 +1.571652 O b'-1:lemma:anaerobic'
285 +1.571048 O b'+2:lemma:cra'
286 +1.564139 O b'+2:lemma:_'
287 +1.554416 Med b'+2:lemma:b2'
288 +1.552289 O b'-1:word:tag'
289 +1.551146 Gtype b'+1:lemma:with'
290 +1.551146 Gtype b'+1:word:with'
291 +1.544208 O b'+2:lemma:fructose'
292 +1.537359 O b'+1:lemma:arca-8myc'
293 +1.537359 O b'+1:word:ArcA-8myc'
294 +1.532438 Supp b'-2:lemma:agent'
295 +1.511808 O b'lemma:culture'
296 +1.508582 Supp b'lemma:Leu'
297 +1.508582 Supp b'word:Leu'
298 +1.508582 Supp b'-2:lemma:Lrp'
299 +1.507149 O b'-1:lemma:glucose'
300 +1.507149 O b'-1:word:glucose'
301 +1.489396 O b'-1:lemma:media'
302 +1.489396 O b'-1:word:media'
303 +1.479777 Air b'+1:postag:IN'
304 +1.474767 Supp b'-2:lemma:induce'
305 +1.473528 Strain b'lemma:k-12'
306 +1.473528 Strain b'word:K-12'
307 +1.443528 O b'lemma:Cra'
308 +1.442381 Gtype b'-1:postag:VBG'
309 +1.440793 O b'-2:lemma:~'
310 +1.438342 Agit b'lemma:rpm'
311 +1.438342 Agit b'word:rpm'
312 +1.431163 Temp b'isNumber'
313 +1.427166 Temp b'+2:postag:DT'
314 +1.399898 OD b'-1:postag:IN'
315 +1.387409 Gversion b'+2:lemma:000913'
316 +1.386073 Med b'lemma:lb'
317 +1.386073 Med b'word:LB'
318 +1.384321 Gversion b'lemma:nc'
319 +1.384321 Gversion b'word:NC'
320 +1.373722 Air b'lemma:aerobic'
321 +1.373289 O b'+1:lemma:pq'
322 +1.373289 O b'+1:word:PQ'
323 +1.366737 O b'lemma:Custom'
324 +1.366737 O b'word:Custom'
325 +1.358073 Supp b'-2:lemma:for'
326 +1.355336 Supp b'-1:lemma:+'
327 +1.355336 Supp b'-1:word:+'
328 +1.342861 Gtype b'postag:JJ'
329 +1.340505 Temp b'-2:lemma:\xcf\x8332'
330 +1.336886 Phase b'+2:lemma:o.d.'
331 +1.334497 Med b'lemma:media'
332 +1.334497 Med b'word:media'
333 +1.330110 Gtype b'lemma:dfnr'
334 +1.330110 Gtype b'word:dFNR'
335 +1.327344 Gtype b'lemma:pk4854'
336 +1.327344 Gtype b'word:PK4854'
337 +
338 +
339 +Top negative:
340 +-0.287905 O b'-1:lemma:37'
341 +-0.287905 O b'-1:word:37'
342 +-0.288095 O b'+1:lemma:supplement'
343 +-0.288095 O b'+1:word:supplemented'
344 +-0.289812 Strain b'isLower'
345 +-0.289812 O b'-2:lemma:supplement'
346 +-0.290075 O b'+2:lemma:fnr'
347 +-0.290683 Supp b'-1:postag:-LRB-'
348 +-0.294223 Phase b'+2:postag:NN'
349 +-0.297159 O b'+2:lemma:.'
350 +-0.297159 O b'+2:postag:.'
351 +-0.303489 O b'-2:lemma:nh4cl'
352 +-0.305843 O b'-2:lemma:genome'
353 +-0.308014 O b'-1:lemma:dissolve'
354 +-0.308014 O b'+1:lemma:methanol'
355 +-0.308014 O b'-1:word:dissolved'
356 +-0.308014 O b'+1:word:methanol'
357 +-0.308864 O b'-1:lemma:co2'
358 +-0.308864 O b'-1:word:CO2'
359 +-0.310620 O b'+2:lemma:reference'
360 +-0.315887 Supp b'+2:postag::'
361 +-0.317964 O b'lemma:aerobic'
362 +-0.318575 Gtype b'-1:postag:CD'
363 +-0.321321 O b'lemma:fructose'
364 +-0.321321 O b'word:fructose'
365 +-0.334085 O b'+2:lemma:10'
366 +-0.336754 Phase b'-1:postag:NN'
367 +-0.337443 O b'-2:lemma:rpob'
368 +-0.337566 O b'word:ChIP-exo'
369 +-0.344905 O b'-2:postag:SYM'
370 +-0.349662 O b'lemma:minimal'
371 +-0.349662 O b'word:minimal'
372 +-0.351886 O b'-1:lemma:fresh'
373 +-0.351886 O b'-1:word:fresh'
374 +-0.355535 O b'+2:lemma:-rrb-'
375 +-0.355990 O b'lemma:methanol'
376 +-0.355990 O b'word:methanol'
377 +-0.355990 O b'-2:lemma:dissolve'
378 +-0.358472 Air b'+1:postag:JJ'
379 +-0.363373 O b'+2:lemma:add'
380 +-0.364945 O b'-1:lemma:chip-exo'
381 +-0.366081 O b'-2:lemma:glucose'
382 +-0.368793 O b'lemma:37'
383 +-0.368793 O b'word:37'
384 +-0.373039 O b'-1:lemma:2'
385 +-0.373039 O b'-1:word:2'
386 +-0.381340 O b'+1:lemma:1m'
387 +-0.381340 O b'+1:word:1M'
388 +-0.381340 O b'-2:lemma:vol'
389 +-0.382066 OD b'+2:postag:NN'
390 +-0.389528 O b'+2:lemma:mid-log'
391 +-0.392861 O b'+2:lemma:at'
392 +-0.394964 O b'-1:lemma:ml'
393 +-0.394964 O b'-1:word:ml'
394 +-0.396605 Phase b'-2:postag:NN'
395 +-0.399009 O b'-2:lemma:minimal'
396 +-0.399247 O b'-1:lemma:rpob'
397 +-0.399247 O b'-1:word:RpoB'
398 +-0.401395 O b'lemma:aerobically'
399 +-0.401395 O b'word:aerobically'
400 +-0.404932 Temp b'-2:postag:NN'
401 +-0.407934 Anti b'+1:lemma:anti-fur'
402 +-0.407934 Anti b'+1:word:anti-Fur'
403 +-0.411618 O b'-1:lemma:\xe2\x88\x86'
404 +-0.411618 O b'-1:word:\xe2\x88\x86'
405 +-0.411709 Med b'-1:postag:NN'
406 +-0.413181 O b'-2:lemma:dpd'
407 +-0.420107 O b'-1:postag::'
408 +-0.421275 O b'-2:lemma:pahse'
409 +-0.421606 Phase b'isUpper'
410 +-0.422247 O b'lemma:anaerobic'
411 +-0.423121 O b'-1:lemma:mm'
412 +-0.423121 O b'-1:word:mM'
413 +-0.431573 O b'+1:word:ChIP-exo'
414 +-0.437729 O b'+1:lemma:+'
415 +-0.437729 O b'+1:word:+'
416 +-0.441474 O b'+2:postag:-RRB-'
417 +-0.447120 Supp b'+1:lemma:,'
418 +-0.447120 Supp b'+1:postag:,'
419 +-0.447120 Supp b'+1:word:,'
420 +-0.450941 O b'lemma:nitrogen'
421 +-0.450941 O b'word:nitrogen'
422 +-0.457611 Supp b'+1:lemma:-lrb-'
423 +-0.457611 Supp b'+1:word:-LRB-'
424 +-0.461438 pH b'isUpper'
425 +-0.465061 O b'lemma:anaerobically'
426 +-0.465061 O b'word:anaerobically'
427 +-0.469056 Supp b'postag:CC'
428 +-0.476893 O b'-2:lemma:anaerobically'
429 +-0.484124 Supp b'+1:postag:-LRB-'
430 +-0.488236 O b'lemma:glucose'
431 +-0.488236 O b'word:glucose'
432 +-0.489327 O b'-2:lemma:at'
433 +-0.491584 O b'lemma:2h'
434 +-0.491584 O b'-1:lemma:additional'
435 +-0.491584 O b'word:2h'
436 +-0.491584 O b'-1:word:additional'
437 +-0.506103 O b'lemma:\xce\xb4fur'
438 +-0.506103 O b'word:\xce\x94fur'
439 +-0.506640 O b'-2:lemma:IP'
440 +-0.514942 O b'-1:lemma:grow'
441 +-0.520575 O b'-1:lemma:30'
442 +-0.520575 O b'-1:word:30'
443 +-0.523583 O b'-2:postag:DT'
444 +-0.523650 O b'lemma:of'
445 +-0.523650 O b'word:of'
446 +-0.531778 Phase b'+1:postag:NN'
447 +-0.532589 O b'-2:lemma:media'
448 +-0.563587 Gtype b'postag:VBG'
449 +-0.564326 Supp b'-2:lemma:treat'
450 +-0.565411 Supp b'-1:postag:NNP'
451 +-0.584731 O b'-1:lemma:IP'
452 +-0.584731 O b'-1:word:IP'
453 +-0.587211 Supp b'-2:postag:JJ'
454 +-0.593339 Med b'+2:postag:VBN'
455 +-0.596474 O b'-2:lemma:fresh'
456 +-0.602774 O b'+1:lemma:in'
457 +-0.602774 O b'+1:word:in'
458 +-0.611915 O b'+1:lemma:until'
459 +-0.611915 O b'+1:word:until'
460 +-0.628338 O b'-2:postag:RB'
461 +-0.630514 O b'lemma:media'
462 +-0.630514 O b'word:media'
463 +-0.631529 O b'-1:lemma:nsrr'
464 +-0.631529 O b'-1:word:NsrR'
465 +-0.639248 O b'+1:lemma:at'
466 +-0.639248 O b'+1:word:at'
467 +-0.642022 O b'+1:lemma:2.0'
468 +-0.642022 O b'+1:word:2.0'
469 +-0.642115 Supp b'+2:lemma:glucose'
470 +-0.647250 O b'+2:lemma:b'
471 +-0.667222 Supp b'-2:lemma:grow'
472 +-0.673515 O b'lemma:0.3'
473 +-0.673515 O b'word:0.3'
474 +-0.676110 O b'lemma:wt'
475 +-0.680222 O b'-2:lemma:aerobically'
476 +-0.681123 O b'-1:lemma:vol'
477 +-0.681123 O b'-1:word:vol'
478 +-0.681123 O b'-2:lemma:1/100'
479 +-0.681123 O b'+2:lemma:1m'
480 +-0.682710 O b'+2:lemma:250'
481 +-0.694576 Med b'-2:postag:VBN'
482 +-0.697856 O b'-2:lemma:phase'
483 +-0.699444 pH b'isLower'
484 +-0.700808 O b'+1:lemma:g/l'
485 +-0.700808 O b'+1:word:g/L'
486 +-0.717388 Agit b'isUpper'
487 +-0.722541 O b'lemma:mid-log'
488 +-0.722541 O b'word:mid-log'
489 +-0.737608 O b'-1:lemma:1'
490 +-0.737608 O b'-1:word:1'
491 +-0.740499 O b'lemma:nitrate'
492 +-0.740499 O b'word:nitrate'
493 +-0.752485 O b'lemma:30'
494 +-0.752485 O b'word:30'
495 +-0.755988 O b'+1:postag:IN'
496 +-0.779938 O b'lemma:rifampicin'
497 +-0.779938 O b'word:rifampicin'
498 +-0.783115 Anti b'isUpper'
499 +-0.806261 O b'-2:lemma::'
500 +-0.824477 Technique b'isNumber'
501 +-0.832052 Gtype b'-2:lemma:\xe2\x88\x86'
502 +-0.863480 O b'+2:lemma:then'
503 +-0.879672 Gversion b'isLower'
504 +-0.884306 O b'+2:lemma:rifampicin'
505 +-0.892663 Air b'postag:NN'
506 +-0.922574 Gtype b'isLower'
507 +-0.971352 Temp b'postag:NN'
508 +-0.971492 Supp b'+2:postag:CD'
509 +-0.981487 O b'postag:RB'
510 +-0.986273 Gtype b'isNumber'
511 +-0.986626 Gtype b'+2:lemma:cra'
512 +-0.999664 O b'-2:lemma:rifampicin'
513 +-1.005327 O b'+2:lemma:+'
514 +-1.017639 O b'-1:lemma:sample'
515 +-1.052917 O b'+1:postag:VBG'
516 +-1.113487 O b'postag:VBP'
517 +-1.137187 Technique b'isLower'
518 +-1.137961 Anti b'+2:lemma:polyclonal'
519 +-1.218218 OD b'+1:postag:NN'
520 +-1.218506 O b'+1:lemma:1'
521 +-1.218506 O b'+1:word:1'
522 +-1.244460 O b'-2:lemma:until'
523 +-1.246287 O b'-2:lemma:0.3'
524 +-1.318837 Med b'-2:lemma:grow'
525 +-1.418176 O b'+1:lemma:2'
526 +-1.418176 O b'+1:word:2'
527 +-1.420021 Supp b'+2:lemma:1'
528 +-1.433666 Supp b'+2:lemma:fructose'
529 +-1.518266 Supp b'+2:lemma:2'
530 +-1.707448 OD b'+2:lemma:aerobically'
531 +-1.740887 Supp b'postag:JJ'
532 +-1.755089 Anti b'postag:NNP'
533 +-2.017589 O b'-1:postag:VBG'
534 +-2.050337 O b'-1:lemma::'
535 +-2.050337 O b'-1:word::'
536 +-2.210536 Phase b'-1:postag:JJ'
537 +-2.269742 O b'-1:lemma:_'
538 +-2.269742 O b'-1:word:_'
539 +-2.429764 Phase b'postag:JJ'
540 +
1 +********** TRAINING AND TESTING REPORT **********
2 +Training file: training-data-set-70.txt
3 +
4 +best params:{'c1': 0.2336502013872894, 'c2': 0.09318602763483955}
5 +best CV score:0.8712658288218513
6 +model size: 0.12M
7 +
8 +Flat F1: 0.8031511247172385
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 1.000 1.000 23
14 + Med 1.000 0.962 0.981 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 0.875 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 0.864 0.824 0.843 85
23 + Substrain 0.000 0.000 0.000 0
24 + Supp 0.805 0.799 0.801 134
25 + Gversion 0.000 0.000 0.000 0
26 +
27 +avg / total 0.840 0.776 0.803 451
28 +
29 +
30 +Top likely transitions:
31 +Supp -> Supp 5.153612
32 +Agit -> Agit 4.790521
33 +Temp -> Temp 4.687582
34 +OD -> OD 4.667439
35 +Med -> Med 4.449149
36 +Air -> Air 4.119367
37 +Anti -> Anti 3.666040
38 +Gversion -> Gversion 3.630622
39 +Gtype -> Gtype 3.343835
40 +Phase -> Phase 3.256517
41 +O -> O 3.120205
42 +Technique -> Technique 2.701020
43 +pH -> pH 2.114033
44 +O -> Supp 1.047850
45 +Gtype -> Supp 0.792223
46 +Air -> O 0.728052
47 +Supp -> O 0.623465
48 +O -> Technique 0.585886
49 +Substrain -> Gtype 0.536486
50 +O -> Gtype 0.295211
51 +Med -> O 0.290467
52 +Gtype -> Air 0.240427
53 +Technique -> Air 0.102724
54 +Temp -> O 0.077445
55 +Supp -> Technique -0.001389
56 +Phase -> O -0.001768
57 +O -> Agit -0.009169
58 +Anti -> Gtype -0.025365
59 +Agit -> O -0.119785
60 +Supp -> Med -0.148138
61 +OD -> Air -0.152372
62 +Anti -> O -0.184882
63 +O -> Med -0.194559
64 +Gtype -> Anti -0.207364
65 +Gversion -> O -0.213638
66 +Technique -> Gtype -0.242293
67 +Technique -> pH -0.279479
68 +Gtype -> Med -0.396453
69 +Gtype -> Technique -0.457466
70 +O -> Air -0.478572
71 +Med -> Supp -0.652970
72 +Technique -> O -0.741574
73 +Gtype -> O -0.868400
74 +Substrain -> O -0.904616
75 +
76 +
77 +Top unlikely transitions:
78 +Supp -> Supp 5.153612
79 +Agit -> Agit 4.790521
80 +Temp -> Temp 4.687582
81 +OD -> OD 4.667439
82 +Med -> Med 4.449149
83 +Air -> Air 4.119367
84 +Anti -> Anti 3.666040
85 +Gversion -> Gversion 3.630622
86 +Gtype -> Gtype 3.343835
87 +Phase -> Phase 3.256517
88 +O -> O 3.120205
89 +Technique -> Technique 2.701020
90 +pH -> pH 2.114033
91 +O -> Supp 1.047850
92 +Gtype -> Supp 0.792223
93 +Air -> O 0.728052
94 +Supp -> O 0.623465
95 +O -> Technique 0.585886
96 +Substrain -> Gtype 0.536486
97 +O -> Gtype 0.295211
98 +Med -> O 0.290467
99 +Gtype -> Air 0.240427
100 +Technique -> Air 0.102724
101 +Temp -> O 0.077445
102 +Supp -> Technique -0.001389
103 +Phase -> O -0.001768
104 +O -> Agit -0.009169
105 +Anti -> Gtype -0.025365
106 +Agit -> O -0.119785
107 +Supp -> Med -0.148138
108 +OD -> Air -0.152372
109 +Anti -> O -0.184882
110 +O -> Med -0.194559
111 +Gtype -> Anti -0.207364
112 +Gversion -> O -0.213638
113 +Technique -> Gtype -0.242293
114 +Technique -> pH -0.279479
115 +Gtype -> Med -0.396453
116 +Gtype -> Technique -0.457466
117 +O -> Air -0.478572
118 +Med -> Supp -0.652970
119 +Technique -> O -0.741574
120 +Gtype -> O -0.868400
121 +Substrain -> O -0.904616
122 +
123 +
124 +Top positive:
125 +3.844745 Anti b'-2:lemma:antibody'
126 +3.075298 O b'-2:lemma:_'
127 +3.031119 O b'postag:IN'
128 +2.910731 Gtype b'word[:1]:\xce\x94'
129 +2.767129 Technique b'word[:2]:Ch'
130 +2.687293 O b'word[:2]:re'
131 +2.397217 O b'isLower'
132 +2.349451 OD b'word[:1]:O'
133 +2.325310 Air b'lemma:anaerobic'
134 +2.308276 Air b'word[:2]:An'
135 +2.302010 O b'postag::'
136 +2.198277 O b'lemma:2'
137 +2.198277 O b'word:2'
138 +2.169367 Air b'word[:2]:Ae'
139 +2.169367 Air b'word:Aerobic'
140 +2.123019 O b'word:A'
141 +2.076492 Air b'postag:RB'
142 +2.043571 O b'lemma:_'
143 +2.043571 O b'word[:1]:_'
144 +2.043571 O b'word:_'
145 +2.029395 Air b'word[:1]:A'
146 +2.002141 O b'postag:CC'
147 +1.942490 O b'lemma:1'
148 +1.942490 O b'word:1'
149 +1.937470 O b'word[:1]:S'
150 +1.896723 Gtype b'hGreek'
151 +1.887387 Air b'word[:1]:a'
152 +1.887291 O b'postag:VBN'
153 +1.861797 Supp b'-1:word:Cra'
154 +1.851009 Gtype b'word[:1]:W'
155 +1.850161 O b'word[:1]:G'
156 +1.829782 Technique b'word[:2]:RN'
157 +1.823057 O b'lemma:.'
158 +1.823057 O b'postag:.'
159 +1.823057 O b'word:.'
160 +1.783472 Gtype b'-2:lemma:genotype/variation'
161 +1.743688 O b'isNumber'
162 +1.737426 Supp b'word[:1]:I'
163 +1.735984 O b'lemma:3'
164 +1.735984 O b'word:3'
165 +1.735450 Gtype b'lemma:wt'
166 +1.732890 Phase b'-2:lemma:phase'
167 +1.713773 O b'+2:lemma:\xc2\xb0c'
168 +1.626531 O b'lemma:-'
169 +1.626531 O b'word:-'
170 +1.621002 Gtype b'word[:1]:d'
171 +1.585833 Substrain b'word[:2]:MG'
172 +1.567249 Med b'+2:postag:CC'
173 +1.561495 Gtype b'-2:lemma:delta'
174 +1.538812 Gtype b'-1:lemma:\xe2\x88\x86'
175 +1.538812 Gtype b'-1:word:\xe2\x88\x86'
176 +1.529675 O b'-2:lemma:medium'
177 +1.528642 Phase b'lemma:mid-log'
178 +1.528642 Phase b'word:mid-log'
179 +1.525710 Supp b'lemma:arginine'
180 +1.515052 Med b'isUpper'
181 +1.509156 Anti b'+2:lemma:antibody'
182 +1.498445 Air b'word[:2]:an'
183 +1.448455 Gtype b'word[:2]:Fl'
184 +1.445971 O b'word[:1]:B'
185 +1.442694 Substrain b'word[:1]:M'
186 +1.424126 Technique b'word[:1]:R'
187 +1.419379 Supp b'-1:lemma:with'
188 +1.419379 Supp b'-1:word:with'
189 +1.408287 O b'-1:word:Aerobic'
190 +1.401018 O b'+2:postag:JJ'
191 +1.385158 Supp b'-1:postag:CC'
192 +1.377203 pH b'word[:2]:pH'
193 +1.376034 O b'word[:2]:Rp'
194 +1.370982 Supp b'+2:lemma:iptg'
195 +1.365225 O b'lemma:a'
196 +1.363156 Gtype b'word[:1]:w'
197 +1.362194 Gtype b'lemma:type'
198 +1.362194 Gtype b'word[:2]:ty'
199 +1.362194 Gtype b'word:type'
200 +1.335730 Supp b'word[:1]:N'
201 +1.328524 Gtype b'word[:2]:PK'
202 +1.323973 Supp b'word[:2]:ni'
203 +1.321948 Anti b'word[:2]:an'
204 +1.321538 Supp b'lemma:acetate'
205 +1.321538 Supp b'word:acetate'
206 +1.318423 O b'word[:2]:ch'
207 +1.318176 Air b'+1:postag:IN'
208 +1.315132 O b'lemma:with'
209 +1.315132 O b'word:with'
210 +1.314507 pH b'+1:postag:CD'
211 +1.302202 Supp b'word[:2]:Fe'
212 +1.295539 Supp b'word[:2]:gl'
213 +1.282771 Gtype b'word[:1]:F'
214 +1.281044 O b'+2:lemma:cra'
215 +1.274682 O b'postag:DT'
216 +1.272939 O b'word[:2]:ge'
217 +1.271317 Med b'word[:1]:L'
218 +1.265104 Technique b'word[:1]:C'
219 +1.259599 Supp b'-2:lemma:for'
220 +1.259424 Supp b'lemma:pq'
221 +1.259424 Supp b'word[:2]:PQ'
222 +1.259424 Supp b'word:PQ'
223 +1.253382 O b'-1:lemma:tag'
224 +1.226505 O b'-1:lemma:anaerobic'
225 +1.220019 Gtype b'+2:lemma:glucose'
226 +1.217394 Gtype b'-2:postag:DT'
227 +1.200992 O b'word[:1]:-'
228 +1.197803 Supp b'+1:lemma:\xc2\xb5m'
229 +1.197803 Supp b'+1:word:\xc2\xb5M'
230 +1.197777 O b'word[:1]:R'
231 +1.178925 Med b'word[:1]:M'
232 +1.178705 pH b'word[:1]:p'
233 +1.165105 Air b'word:Anaerobic'
234 +1.151652 Gtype b'word[:1]:t'
235 +1.150537 O b'word[:1]:C'
236 +1.139639 O b'-2:lemma:flagtag'
237 +1.135644 Technique b'lemma:ChIP-exo'
238 +1.134050 O b'-1:word:tag'
239 +1.133929 O b'+1:postag:RB'
240 +1.129756 Anti b'+1:lemma:antibody'
241 +1.129756 Anti b'+1:word:antibody'
242 +1.121198 Supp b'lemma:Iron'
243 +1.121198 Supp b'word[:2]:Ir'
244 +1.121198 Supp b'word:Iron'
245 +1.121198 Supp b'+1:word:Deficient'
246 +1.121198 Supp b'-2:lemma:Anaerobic'
247 +1.114176 Med b'word[:1]:m'
248 +1.100461 Supp b'word[:2]:ac'
249 +1.099208 Gtype b'symb'
250 +1.094239 Temp b'isUpper'
251 +1.093800 O b'+2:lemma:of'
252 +1.088664 Gtype b'lemma:\xe2\x88\x86'
253 +1.088664 Gtype b'word[:1]:\xe2\x88\x86'
254 +1.088664 Gtype b'word:\xe2\x88\x86'
255 +1.071215 O b'+1:word:ChIP-Seq'
256 +1.066491 Agit b'+2:lemma:at'
257 +1.066258 Gtype b'-2:lemma:affyexp'
258 +1.060022 Gtype b'word[:2]:WT'
259 +1.060022 Gtype b'word:WT'
260 +1.053727 O b'-2:lemma:myc'
261 +1.050067 Technique b'symb'
262 +1.039357 Air b'-2:lemma:%'
263 +1.038444 Gtype b'lemma:nsrr'
264 +1.038444 Gtype b'word[:2]:Ns'
265 +1.038444 Gtype b'word:NsrR'
266 +1.033615 OD b'-1:postag:IN'
267 +1.032571 Supp b'-1:lemma:Cra'
268 +1.027117 O b'lemma:b'
269 +1.027117 O b'word:B'
270 +1.026841 Phase b'word[:2]:ex'
271 +1.020258 Temp b'+2:postag:DT'
272 +1.005720 Med b'word[:1]:g'
273 +1.003046 Phase b'word[:1]:e'
274 +0.988531 Technique b'+2:lemma:ph5'
275 +0.982847 Med b'lemma:MOPS'
276 +0.982847 Med b'word[:2]:MO'
277 +0.982847 Med b'word:MOPS'
278 +0.982044 Gtype b'word[:1]:P'
279 +0.978963 Supp b'+1:lemma:1'
280 +0.978963 Supp b'+1:word:1'
281 +0.977470 O b'+1:postag:VBN'
282 +0.972345 Gversion b'lemma:chip-seq'
283 +0.965776 O b'-1:lemma:0.3'
284 +0.965776 O b'-1:word:0.3'
285 +0.961310 O b'word[:1]:c'
286 +0.961310 Gversion b'word:ChIP-Seq'
287 +0.954008 Supp b'-2:lemma:media'
288 +0.953354 O b'word[:1]:E'
289 +0.952860 OD b'word[:2]:0.'
290 +0.951986 Gversion b'word[:2]:00'
291 +0.951986 Gversion b'-2:lemma:nc'
292 +0.951757 Temp b'isNumber'
293 +0.944374 O b'-1:lemma:glucose'
294 +0.944374 O b'-1:word:glucose'
295 +0.939001 Anti b'word[:1]:a'
296 +0.933490 Gtype b'word[:1]:f'
297 +0.932192 Technique b'lemma:rna-seq'
298 +0.927167 O b'word[:2]:Cr'
299 +0.924784 O b'+1:postag:NNP'
300 +0.923460 Temp b'lemma:43'
301 +0.923460 Temp b'word[:2]:43'
302 +0.923460 Temp b'word:43'
303 +0.922823 Gversion b'postag:NN'
304 +0.920025 O b'word:Cra'
305 +0.919393 Gtype b'-2:lemma:genotype'
306 +0.916703 O b'-1:postag:NNS'
307 +0.914905 Temp b'-1:lemma:43'
308 +0.914905 Temp b'-1:word:43'
309 +0.914011 Supp b'lemma:fructose'
310 +0.914011 Supp b'word:fructose'
311 +0.910162 Gtype b'+2:lemma:a'
312 +0.909270 O b'-1:lemma:ChIP-exo'
313 +0.906917 O b'-1:lemma:lb'
314 +0.906917 O b'-1:word:LB'
315 +0.905676 Temp b'-2:lemma:30'
316 +0.905544 O b'lemma::'
317 +0.905544 O b'word[:1]::'
318 +0.905544 O b'word::'
319 +0.903768 O b'-2:lemma:min'
320 +0.902708 Gtype b'lemma:flag-tag'
321 +0.902708 Gtype b'-1:lemma:c-terminal'
322 +0.902708 Gtype b'word:Flag-tag'
323 +0.902708 Gtype b'-1:word:C-terminal'
324 +0.895846 Gtype b'-1:postag:VBG'
325 +
326 +
327 +Top negative:
328 +-0.213281 Gtype b'postag:VBG'
329 +-0.213927 O b'lemma:30'
330 +-0.213927 O b'word:30'
331 +-0.214268 O b'+1:lemma:1m'
332 +-0.214268 O b'+1:word:1M'
333 +-0.214268 O b'-2:lemma:vol'
334 +-0.214305 Technique b'isLower'
335 +-0.215229 O b'+2:lemma:tag'
336 +-0.224496 O b'lemma:0.3'
337 +-0.224496 O b'word:0.3'
338 +-0.225047 O b'word[:2]:ae'
339 +-0.225048 O b'+2:lemma:10'
340 +-0.225327 O b'+1:lemma:.'
341 +-0.225327 O b'+1:postag:.'
342 +-0.225327 O b'+1:word:.'
343 +-0.226893 O b'lemma:media'
344 +-0.226893 O b'word:media'
345 +-0.227738 O b'-1:lemma:final'
346 +-0.227738 O b'-1:word:final'
347 +-0.236792 Supp b'-1:postag:NN'
348 +-0.237178 O b'lemma:aerobically'
349 +-0.237178 O b'word:aerobically'
350 +-0.237751 Temp b'-2:postag:NN'
351 +-0.238106 O b'+1:lemma:mm'
352 +-0.238106 O b'+1:word:mM'
353 +-0.238950 Med b'+2:postag:VBN'
354 +-0.239931 Supp b'-2:lemma:treat'
355 +-0.242306 Supp b'+2:lemma:-rrb-'
356 +-0.244385 O b'-2:lemma:fresh'
357 +-0.248124 O b'-1:word:the'
358 +-0.250659 O b'-1:lemma:control'
359 +-0.250659 O b'-1:word:control'
360 +-0.252294 Vess b'hUpper'
361 +-0.252294 Vess b'hLower'
362 +-0.260164 Gtype b'-2:postag:CD'
363 +-0.261752 Supp b'-1:lemma:-lrb-'
364 +-0.261752 Supp b'-1:word:-LRB-'
365 +-0.264366 O b'-1:lemma:dissolve'
366 +-0.264366 O b'+1:lemma:methanol'
367 +-0.264366 O b'-1:word:dissolved'
368 +-0.264366 O b'+1:word:methanol'
369 +-0.265460 O b'+2:lemma:b'
370 +-0.272617 O b'+1:lemma:until'
371 +-0.272617 O b'+1:word:until'
372 +-0.273572 Gtype b'word[:1]:h'
373 +-0.274523 O b'+1:postag:-RRB-'
374 +-0.278891 O b'word[:2]:mg'
375 +-0.284692 O b'-2:lemma:rpob'
376 +-0.286507 Supp b'-1:postag:-LRB-'
377 +-0.287758 Gtype b'+1:postag:CD'
378 +-0.288985 O b'+1:lemma:+'
379 +-0.288985 O b'+1:word:+'
380 +-0.291255 Supp b'+2:postag:CC'
381 +-0.293167 Anti b'isUpper'
382 +-0.295610 Air b'symb'
383 +-0.297086 Med b'+1:postag:IN'
384 +-0.297472 Anti b'+2:lemma:polyclonal'
385 +-0.301599 Supp b'+1:postag:-LRB-'
386 +-0.303534 O b'word[:2]:pH'
387 +-0.308953 O b'+2:lemma:250'
388 +-0.312066 O b'-2:postag::'
389 +-0.312712 O b'-1:lemma:1'
390 +-0.312712 O b'-1:word:1'
391 +-0.314265 Supp b'+2:postag:-RRB-'
392 +-0.320230 Supp b'+1:lemma:-lrb-'
393 +-0.320230 Supp b'+1:word:-LRB-'
394 +-0.322105 Supp b'isLower'
395 +-0.323396 O b'+2:lemma:fnr'
396 +-0.323418 O b'-2:lemma:anaerobically'
397 +-0.325030 O b'-1:lemma:mm'
398 +-0.325030 O b'-1:word:mM'
399 +-0.330509 O b'-2:lemma:IP'
400 +-0.332858 Gtype b'-2:lemma:\xe2\x88\x86'
401 +-0.339609 OD b'hUpper'
402 +-0.339609 OD b'hLower'
403 +-0.339859 O b'-1:lemma:30'
404 +-0.339859 O b'-1:word:30'
405 +-0.350738 O b'postag:VBP'
406 +-0.351658 O b'+2:lemma:.'
407 +-0.351658 O b'+2:postag:.'
408 +-0.352921 O b'-1:lemma:rpob'
409 +-0.352921 O b'-1:word:RpoB'
410 +-0.353783 Anti b'+1:lemma:anti-fur'
411 +-0.353783 Anti b'+1:word:anti-Fur'
412 +-0.354236 O b'-1:postag:IN'
413 +-0.356640 O b'+2:lemma:add'
414 +-0.363002 O b'+1:lemma:g/l'
415 +-0.363002 O b'+1:word:g/L'
416 +-0.363879 O b'-2:lemma:pahse'
417 +-0.364619 Air b'isLower'
418 +-0.365203 Supp b'+1:lemma:,'
419 +-0.365203 Supp b'+1:postag:,'
420 +-0.365203 Supp b'+1:word:,'
421 +-0.365874 O b'-2:lemma:supplement'
422 +-0.369104 O b'-1:lemma:ph'
423 +-0.369104 O b'-1:word:pH'
424 +-0.371371 Supp b'isNumber'
425 +-0.371775 O b'+2:lemma:a'
426 +-0.372992 O b'-2:postag:-LRB-'
427 +-0.377752 O b'-1:lemma:nsrr'
428 +-0.377752 O b'-1:word:NsrR'
429 +-0.378984 O b'-1:lemma:IP'
430 +-0.378984 O b'-1:word:IP'
431 +-0.385721 O b'+2:lemma:at'
432 +-0.390304 O b'-2:lemma:dpd'
433 +-0.398681 O b'-1:lemma:co2'
434 +-0.398681 O b'-1:word:CO2'
435 +-0.401830 Supp b'-2:postag:JJ'
436 +-0.414842 O b'+2:lemma:-rrb-'
437 +-0.419511 O b'-1:lemma:vol'
438 +-0.419511 O b'-1:word:vol'
439 +-0.419511 O b'-2:lemma:1/100'
440 +-0.419511 O b'+2:lemma:1m'
441 +-0.426146 Supp b'+2:postag:NNP'
442 +-0.441021 Gtype b'isNumber'
443 +-0.444323 O b'word[:2]:gl'
444 +-0.446407 O b'-2:lemma:until'
445 +-0.457555 Agit b'symb'
446 +-0.459022 Phase b'postag:JJ'
447 +-0.462341 O b'+1:postag:VBG'
448 +-0.464267 Med b'-1:postag:NN'
449 +-0.468286 O b'lemma:mid-log'
450 +-0.468286 O b'word:mid-log'
451 +-0.472613 O b'+1:lemma:at'
452 +-0.472613 O b'+1:word:at'
453 +-0.477062 pH b'isLower'
454 +-0.477743 Agit b'hUpper'
455 +-0.477743 Agit b'hLower'
456 +-0.479686 O b'+2:lemma:+'
457 +-0.484984 Temp b'postag:NN'
458 +-0.499704 O b'word[:2]:ri'
459 +-0.501394 O b'-2:lemma:media'
460 +-0.507911 O b'lemma:wt'
461 +-0.526226 O b'-2:lemma:phase'
462 +-0.529104 Supp b'-1:postag:NNP'
463 +-0.529212 Phase b'-1:postag:JJ'
464 +-0.533189 O b'lemma:rifampicin'
465 +-0.533189 O b'word:rifampicin'
466 +-0.534646 O b'word[:1]:K'
467 +-0.547839 O b'-1:lemma:2'
468 +-0.547839 O b'-1:word:2'
469 +-0.552833 O b'lemma:of'
470 +-0.552833 O b'word[:2]:of'
471 +-0.552833 O b'word:of'
472 +-0.571985 Phase b'hUpper'
473 +-0.571985 Phase b'hLower'
474 +-0.583528 O b'word[:2]:fl'
475 +-0.593059 O b'+1:lemma:2.0'
476 +-0.593059 O b'+1:word:2.0'
477 +-0.609973 Med b'symb'
478 +-0.616268 O b'-1:lemma:sample'
479 +-0.631905 O b'+2:lemma:rifampicin'
480 +-0.641208 Air b'-1:postag:JJ'
481 +-0.659714 O b'-2:lemma:rifampicin'
482 +-0.668423 O b'+1:lemma:in'
483 +-0.668423 O b'+1:word:in'
484 +-0.684360 Supp b'word[:1]:C'
485 +-0.690468 O b'+1:postag:IN'
486 +-0.691378 Air b'postag:NN'
487 +-0.693290 Supp b'symb'
488 +-0.707852 Gversion b'isLower'
489 +-0.708217 O b'word[:2]:ni'
490 +-0.718338 O b'+2:lemma:mid-log'
491 +-0.730227 O b'+2:postag:-RRB-'
492 +-0.735990 Supp b'+2:lemma:fructose'
493 +-0.747947 Gtype b'isUpper'
494 +-0.749104 O b'-2:lemma::'
495 +-0.749369 O b'+2:lemma:then'
496 +-0.758273 Anti b'postag:NNP'
497 +-0.761155 O b'word[:1]:N'
498 +-0.764889 O b'+1:lemma:1'
499 +-0.764889 O b'+1:word:1'
500 +-0.769928 Gtype b'+2:lemma:cra'
501 +-0.772163 Technique b'postag:NN'
502 +-0.783130 OD b'+2:lemma:aerobically'
503 +-0.809195 Med b'-2:postag:VBN'
504 +-0.836558 Supp b'+2:lemma:1'
505 +-0.847695 O b'word[:1]:d'
506 +-0.850298 Gtype b'word[:1]:C'
507 +-0.867091 Supp b'postag:JJ'
508 +-0.873165 O b'-2:lemma:0.3'
509 +-0.895891 O b'-2:postag:DT'
510 +-0.911570 O b'-1:postag::'
511 +-0.919075 Med b'-2:lemma:grow'
512 +-0.949965 O b'postag:RB'
513 +-0.979639 OD b'+1:postag:NN'
514 +-1.012812 O b'word[:2]:30'
515 +-1.015914 Supp b'+2:lemma:2'
516 +-1.034755 O b'word[:2]:me'
517 +-1.056293 O b'-2:postag:RB'
518 +-1.071688 Supp b'+2:postag:CD'
519 +-1.093793 O b'+1:lemma:2'
520 +-1.093793 O b'+1:word:2'
521 +-1.142191 O b'word[:1]:P'
522 +-1.483645 O b'-1:postag:VBG'
523 +-1.592855 O b'-1:lemma::'
524 +-1.592855 O b'-1:word::'
525 +-1.768431 O b'word[:2]:Ch'
526 +-1.920566 O b'-1:lemma:_'
527 +-1.920566 O b'-1:word:_'
528 +