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

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Estefani Gaytan Nunez
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from optparse import OptionParser
import re
from collections import defaultdict as df
import os
import random
from pandas import DataFrame as DF
import matplotlib.pyplot as plt
# Objective
# Drawn figures of grid reports
#
# Input parameters
# --inputPath=PATH Path of inputfiles
# --outputPath=PATH Path to place output figures
# --figureName single run specific name figure, multifigure first part of name
# --inputFile Use it for a single report
# --version CRF-script version of reports
#
# Output
# training and test data set
#
# Examples
# python figures-reports.py
# --inputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/reports/
# --outputPath /home/egaytan/automatic-extraction-growth-conditions/CRF/figures/
# --figureName FiguresGrid
# --inputFile report_Run1_v11.txt
# -version v11
# 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
__author__ = 'egaytan'
####################################################################################
# FUNCTIONS #
####################################################################################
def Filter(rfile, options,v):
if options[0]=='all':
if rfile[0:6]=='report' and rfile[-7:-4]==v: return(True)
elif rfile in options:
return(True)
return(False)
####################################################################################
# MAIN PROGRAM #
####################################################################################
if __name__ == '__main__':
# Defining parameters
parser = OptionParser()
parser.add_option('--inputPath', dest='inputPath', help='Path of output from CoreNLP', metavar='PATH')
parser.add_option('--outputPath', dest='outputPath', help='Path to place output figures', metavar='PATH')
parser.add_option('--figureName', dest='figureName', help='Specific or first part of figurename', metavar='FILE')
parser.add_option('--version', dest='version', help='script version', metavar='FILE')
parser.add_option('--inputFile', dest='inputFile', help='Use it for a specific report files', metavar='FILE', default='all,')
(options, args) = parser.parse_args()
if len(args) > 0:
parser.error('Any parameter given.\nFor multi input files be sure to seprate the filenames by coma')
sys.exit(1)
print('-------------------------------- PARAMETERS --------------------------------')
print('Path of output from CoreNLP: ' + str(options.inputPath))
print('Path to place output figures: ' + str(options.outputPath))
print('Specific or first part of figurename: ' + str(options.figureName))
print('CRF-script version: ' + str(options.version))
print('-------------------------------- PROCESSING --------------------------------')
rawInputRepotsList = str(options.inputFile).split(',')
reportFileList = [ rfile for rfile in os.listdir(options.inputPath) if Filter(rfile, rawInputRepotsList, str(options.version)) ]
scores = df(dict)
#CV={}
print('Report files: ' + str(options.inputFile ))
print('\n'.join(reportFileList))
print('----------------------------------- NOTE -----------------------------------')
print('\n-------- All chosen report files should be in inputPath given---------------\n')
print('------------------------------- SAVING DATA --------------------------------\n')
for report in reportFileList:
with open(os.path.join(options.inputPath, report), 'r') as File:
string = File.read()
scores[report[7:11]]['CV']=re.findall('best\sCV\sscore\:(\d+\.\d+)', string)[0]
summaryScores = re.findall('avg\s\/\stotal\s+(\d+\.\d+)\s+(\d+\.\d+)\s+(\d+\.\d+)', string)[0]
scores[report[7:11]]['precision']=summaryScores[0]
scores[report[7:11]]['recall']=summaryScores[1]
scores[report[7:11]]['f1-score']=summaryScores[2]
print(DF(scores).T)
scoresTable = DF(scores).T
imageName=os.path.join(options.outputPath, options.figureName)
ylab = "score",
fig = plt.figure()
plt.grid(False)
plt.rcParams.update({'font.size': 15})
fig.set_figheight(13)
fig.set_figwidth(20)
plt.xlabel("Runs")
plt.ylabel("score")
plt.xticks(range(8),scoresTable["CV"].index)
plt.plot(scoresTable['CV'], "--", color="red", label="CV")
plt.plot(scoresTable['precision'], color="blue", label="precision")
plt.plot(scoresTable['f1-score'], color="orange", label="F1")
plt.plot(scoresTable['recall'], color="g", label="recall")
plt.legend(loc='lower right')
plt.tight_layout()
fig.savefig(imageName, pad_inches=0.5)
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 Run1 --version _v10 > ../outputs/Run1_v10.txt
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
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
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
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
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
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
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
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-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: False False
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003860s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.865443 - 0.8s
[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.679190 - 1.2s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.894596 - 0.9s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.827517 - 1.0s
[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
[CV] c1=1.3554102602892857, c2=0.04064106043794771, score=0.883195 - 1.1s
[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.836344 - 0.9s
[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.873860 - 1.0s
[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
[CV] c1=0.09740360970030945, c2=0.028519696998299794, score=0.849711 - 1.0s
[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
[CV] c1=0.7400583455049986, c2=0.11089308616237473, score=0.769308 - 1.1s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.687408 - 1.1s
[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.820852 - 1.0s
[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.914320 - 1.0s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.683676 - 1.0s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.794216 - 1.1s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.595497 - 1.1s
[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
[CV] c1=1.5046786522259286, c2=0.10025629970071295, score=0.876340 - 1.2s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.809458 - 1.1s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.708368 - 1.1s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.765873 - 1.1s
[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.894596 - 0.8s
[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.905059 - 1.2s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.836344 - 1.0s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.764496 - 1.2s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.884863 - 1.0s
[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.683676 - 1.1s
[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.874120 - 1.1s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.879946 - 1.0s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.869930 - 1.1s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.815705 - 1.1s
[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.790884 - 1.0s
[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.914857 - 1.1s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.895137 - 1.1s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.887885 - 1.1s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.840073 - 1.0s
[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
[CV] c1=0.26477192990624615, c2=0.05577785462906174, score=0.879946 - 1.0s
[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
[CV] c1=0.06809850332119287, c2=0.01656792754467579, score=0.848881 - 1.1s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.856620 - 1.1s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.868591 - 1.0s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.861725 - 1.2s
[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
[CV] c1=0.37691263592010804, c2=0.010709701276127422, score=0.703882 - 1.0s
[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
[CV] c1=0.0024717739018770973, c2=0.1040320995921139, score=0.856469 - 0.9s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.820852 - 1.1s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.920058 - 1.1s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.914811 - 1.0s
[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
[CV] c1=0.37691263592010804, c2=0.010709701276127422, score=0.827517 - 1.0s
[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
[CV] c1=0.0024717739018770973, c2=0.1040320995921139, score=0.859998 - 1.0s
[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
[CV] c1=0.040228507114711654, c2=0.07249239303768308, score=0.879947 - 1.0s
[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
[CV] c1=0.46927069932753585, c2=0.02038989539209574, score=0.812884 - 1.1s
[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
[CV] c1=0.8293777602265241, c2=0.030882995150252723, score=0.735694 - 1.1s
[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.849711 - 1.1s
[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.701318 - 1.1s
[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
[CV] c1=0.040228507114711654, c2=0.07249239303768308, score=0.849711 - 1.1s
[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.857679 - 1.1s
[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
[CV] c1=0.12232540864976137, c2=0.05565442682947846, score=0.889676 - 1.0s
[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.703530 - 1.1s
[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
[CV] c1=0.0024717739018770973, c2=0.1040320995921139, score=0.889676 - 1.0s
[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
[CV] c1=0.040228507114711654, c2=0.07249239303768308, score=0.914669 - 1.2s
[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.879947 - 1.0s
[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
[CV] c1=0.12232540864976137, c2=0.05565442682947846, score=0.841215 - 1.1s
[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.910520 - 1.1s
[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.797169 - 1.0s
[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
[CV] c1=0.040228507114711654, c2=0.07249239303768308, score=0.859998 - 1.1s
[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.703530 - 1.1s
[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
[CV] c1=0.12232540864976137, c2=0.05565442682947846, score=0.794216 - 1.0s
[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.932708 - 1.0s
[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
[CV] c1=0.0024717739018770973, c2=0.1040320995921139, score=0.879947 - 1.1s
[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
[CV] c1=0.2635919732062477, c2=0.05276315772327436, score=0.921133 - 1.2s
[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.932708 - 1.1s
[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
[CV] c1=0.12232540864976137, c2=0.05565442682947846, score=0.879947 - 1.0s
[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
[CV] c1=0.00041876301422586143, c2=0.03251553476135004, score=0.876457 - 1.0s
[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
[CV] c1=0.0024717739018770973, c2=0.1040320995921139, score=0.679174 - 1.1s
[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
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[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.790088 - 1.1s
[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
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[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
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[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
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[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
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[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.914857 - 1.0s
[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
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[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
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[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
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[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
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[CV] c1=0.024804754224065653, c2=0.026332251363984482, score=0.909664 - 1.1s
[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
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[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
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[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.824046 - 1.1s
[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
[CV] c1=0.6870593229988403, c2=0.05265737914059501, score=0.884863 - 1.1s
[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
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[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
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[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
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[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
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[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
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[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
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[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
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[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
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[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
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[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
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[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
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[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
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[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
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[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
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[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
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[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
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[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
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[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
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[CV] c1=0.12232540864976137, c2=0.05565442682947846 ..................
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[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
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[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
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[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
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[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
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[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
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[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
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[CV] c1=0.040228507114711654, c2=0.07249239303768308 .................
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[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
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[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
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[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
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[CV] c1=0.024804754224065653, c2=0.026332251363984482 ................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
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[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
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[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
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[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
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[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
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[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
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[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
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[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
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[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
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[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
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[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
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[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
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[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
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[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
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[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
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[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
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[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
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[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
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[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=0.26477192990624615, c2=0.05577785462906174 ..................
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[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
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[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
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[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
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[CV] c1=0.0024717739018770973, c2=0.1040320995921139 .................
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[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
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[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
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[CV] c1=0.7762766866633338, c2=0.06044187771534946 ...................
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[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
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[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
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[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
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[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
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[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
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[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
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[CV] c1=0.06809850332119287, c2=0.01656792754467579 ..................
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[CV] c1=0.2635919732062477, c2=0.05276315772327436 ...................
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[CV] c1=0.46927069932753585, c2=0.02038989539209574 ..................
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[CV] c1=0.8293777602265241, c2=0.030882995150252723 ..................
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[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
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[CV] c1=0.00041876301422586143, c2=0.03251553476135004 ...............
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[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.865939 - 1.1s
[CV] c1=0.6870593229988403, c2=0.05265737914059501 ...................
[CV] c1=0.6870593229988403, c2=0.05265737914059501, score=0.623578 - 1.2s
[CV] c1=0.6940531517638533, c2=0.05125577006946058 ...................
[CV] c1=0.6940531517638533, c2=0.05125577006946058, score=0.919477 - 1.1s
[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
[CV] c1=0.6885635276120627, c2=0.024418511748123376, score=0.672898 - 0.9s
[CV] c1=0.37691263592010804, c2=0.010709701276127422 .................
[CV] c1=0.37691263592010804, c2=0.010709701276127422, score=0.854844 - 1.1s
[CV] c1=0.665990903123903, c2=0.0644784925454884 .....................
[CV] c1=0.665990903123903, c2=0.0644784925454884, score=0.884863 - 1.3s
[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
[CV] c1=0.7400583455049986, c2=0.11089308616237473, score=0.790873 - 1.1s
[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
[CV] c1=1.3554102602892857, c2=0.04064106043794771, score=0.846283 - 1.1s
[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
[CV] c1=0.6885635276120627, c2=0.024418511748123376, score=0.839367 - 0.8s
[CV] c1=1.5046786522259286, c2=0.10025629970071295 ...................
[CV] c1=1.5046786522259286, c2=0.10025629970071295, score=0.785357 - 1.0s
[CV] c1=0.09740360970030945, c2=0.028519696998299794 .................
[CV] c1=0.09740360970030945, c2=0.028519696998299794, score=0.794216 - 1.2s
[CV] c1=0.7400583455049986, c2=0.11089308616237473 ...................
[CV] c1=0.7400583455049986, c2=0.11089308616237473, score=0.834999 - 1.2s
[CV] c1=1.3554102602892857, c2=0.04064106043794771 ...................
[CV] c1=1.3554102602892857, c2=0.04064106043794771, score=0.703937 - 1.0s
[CV] c1=0.6885635276120627, c2=0.024418511748123376 ..................
[CV] c1=0.6885635276120627, c2=0.024418511748123376, score=0.852253 - 0.8s
Training done in: 7.112705s
Saving training model...
Saving training model done in: 0.013436s
*********************************
Prediction done in: 0.025684s
-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: True False
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003744s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 hUpper False
5 hLower False
6 hGreek False
7 symb False
8 word[:1] 2
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 hUpper True
7 hLower True
8 hGreek False
9 symb True
10 word[:1] d
11 word[:2] de
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.19934495558505577, c2=0.010637632177256148 .................
[CV] c1=0.19934495558505577, c2=0.010637632177256148, score=0.900467 - 1.2s
[CV] c1=0.4982058629999599, c2=0.006198006617897045 ..................
[CV] c1=0.4982058629999599, c2=0.006198006617897045, score=0.825530 - 1.4s
[CV] c1=0.3848418204399571, c2=0.0490844099596465 ....................
[CV] c1=0.3848418204399571, c2=0.0490844099596465, score=0.825765 - 1.4s
[CV] c1=0.2744903549388577, c2=0.005826833407596435 ..................
[CV] c1=0.2744903549388577, c2=0.005826833407596435, score=0.857808 - 1.4s
[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.949229 - 1.1s
[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.750717 - 1.1s
[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.822589 - 1.3s
[CV] c1=0.3848418204399571, c2=0.0490844099596465 ....................
[CV] c1=0.3848418204399571, c2=0.0490844099596465, score=0.926111 - 1.4s
[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.867326 - 1.4s
[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.861150 - 1.1s
[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.636809 - 1.4s
[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.762779 - 1.4s
[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.949229 - 1.2s
[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.753849 - 1.5s
[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.874120 - 1.2s
[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.905789 - 1.2s
[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.825397 - 1.3s
[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.828577 - 1.4s
[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.922774 - 1.3s
[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.849711 - 1.4s
[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.830336 - 1.2s
[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.941563 - 1.4s
[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.924615 - 1.2s
[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.865015 - 1.3s
[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
[CV] c1=0.21310787431780126, c2=0.011293437507544645, score=0.879247 - 1.4s
[CV] c1=0.003814225451432829, c2=0.089206470981278 ...................
[CV] c1=0.003814225451432829, c2=0.089206470981278, score=0.859994 - 1.2s
[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
[CV] c1=0.4120790146768621, c2=0.06811336809743664, score=0.830357 - 1.3s
[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
[CV] c1=0.6345283186223429, c2=0.12168650777470569, score=0.913871 - 1.2s
[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.910267 - 1.2s
[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.762779 - 1.3s
[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.816562 - 1.2s
[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.862778 - 1.4s
[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.865015 - 1.4s
[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.922662 - 1.4s
[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
[CV] c1=0.43856886108935933, c2=0.07988403179866013, score=0.860487 - 1.0s
[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.857689 - 1.4s
[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.849711 - 1.3s
[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.849711 - 1.4s
[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.849711 - 1.4s
[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
[CV] c1=0.43856886108935933, c2=0.07988403179866013, score=0.844928 - 1.1s
[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.802949 - 1.5s
[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.924615 - 1.3s
[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.927954 - 1.6s
[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.897132 - 1.3s
[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
[CV] c1=0.21310787431780126, c2=0.011293437507544645, score=0.821654 - 1.3s
[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.874372 - 1.4s
[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
[CV] c1=0.4120790146768621, c2=0.06811336809743664, score=0.872541 - 1.3s
[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
[CV] c1=0.6345283186223429, c2=0.12168650777470569, score=0.816050 - 1.3s
[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.821631 - 1.2s
[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
[CV] c1=0.43856886108935933, c2=0.07988403179866013, score=0.913871 - 1.4s
[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.842269 - 1.3s
[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
[CV] c1=0.4120790146768621, c2=0.06811336809743664, score=0.913871 - 1.3s
[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
[CV] c1=0.6345283186223429, c2=0.12168650777470569, score=0.686689 - 1.3s
[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.788563 - 1.4s
[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
[CV] c1=0.21310787431780126, c2=0.011293437507544645, score=0.862696 - 1.3s
[CV] c1=0.003814225451432829, c2=0.089206470981278 ...................
[CV] c1=0.003814225451432829, c2=0.089206470981278, score=0.758223 - 1.3s
[CV] c1=0.3323283838305798, c2=0.007002119097026294 ..................
[CV] c1=0.3323283838305798, c2=0.007002119097026294, score=0.835700 - 1.3s
[CV] c1=0.25950466232991165, c2=0.01977365441523948 ..................
[CV] c1=0.25950466232991165, c2=0.01977365441523948, score=0.940326 - 1.3s
[CV] c1=0.3888158389962884, c2=0.1590586327437522 ....................
[CV] c1=0.3888158389962884, c2=0.1590586327437522, score=0.834928 - 1.2s
[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.844309 - 1.3s
[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.854924 - 1.3s
[CV] c1=0.0669479769366607, c2=0.03552427653715395 ...................
[CV] c1=0.0669479769366607, c2=0.03552427653715395, score=0.922774 - 1.3s
[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
[CV] c1=0.12196360597096503, c2=0.023886738697024967, score=0.762779 - 1.3s
[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
[CV] c1=0.10308889515554251, c2=0.05215780911438919, score=0.828577 - 1.5s
[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
[CV] c1=0.43856886108935933, c2=0.07988403179866013, score=0.819260 - 1.5s
[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.929894 - 1.3s
[CV] c1=0.3323283838305798, c2=0.007002119097026294 ..................
[CV] c1=0.3323283838305798, c2=0.007002119097026294, score=0.828612 - 1.2s
[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
[CV] c1=0.6345283186223429, c2=0.12168650777470569, score=0.853416 - 1.2s
[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.570164 - 1.4s
[CV] c1=0.032724042233347544, c2=0.018322020146790692 ................
[CV] c1=0.032724042233347544, c2=0.018322020146790692, score=0.903957 - 1.5s
[CV] c1=1.0969898445289075, c2=0.053534474792157685 ..................
[CV] c1=1.0969898445289075, c2=0.053534474792157685, score=0.926537 - 1.4s
[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
[CV] c1=0.4120790146768621, c2=0.06811336809743664, score=0.804307 - 1.4s
[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
[CV] c1=0.6345283186223429, c2=0.12168650777470569, score=0.804477 - 1.3s
[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.718760 - 1.4s
[CV] c1=0.43856886108935933, c2=0.07988403179866013 ..................
[CV] c1=0.43856886108935933, c2=0.07988403179866013, score=0.899245 - 1.4s
[CV] c1=0.24595106020216595, c2=0.003274392069456766 .................
[CV] c1=0.24595106020216595, c2=0.003274392069456766, score=0.907764 - 1.4s
[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
[CV] c1=0.4120790146768621, c2=0.06811336809743664, score=0.926111 - 1.3s
[CV] c1=0.25950466232991165, c2=0.01977365441523948 ..................
[CV] c1=0.25950466232991165, c2=0.01977365441523948, score=0.827742 - 1.2s
[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.922012 - 1.2s
[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
[CV] c1=0.21310787431780126, c2=0.011293437507544645, score=0.830740 - 1.3s
[CV] c1=0.003814225451432829, c2=0.089206470981278 ...................
[CV] c1=0.003814225451432829, c2=0.089206470981278, score=0.903957 - 1.3s
[CV] c1=0.4120790146768621, c2=0.06811336809743664 ...................
[CV] c1=0.4120790146768621, c2=0.06811336809743664, score=0.914569 - 1.3s
[CV] c1=0.6345283186223429, c2=0.12168650777470569 ...................
[CV] c1=0.6345283186223429, c2=0.12168650777470569, score=0.857375 - 1.3s
[CV] c1=1.7398839313283918, c2=0.014437753456864834 ..................
[CV] c1=1.7398839313283918, c2=0.014437753456864834, score=0.839313 - 1.3s
[CV] c1=0.21310787431780126, c2=0.011293437507544645 .................
[CV] c1=0.21310787431780126, c2=0.011293437507544645, score=0.830456 - 1.3s
[CV] c1=0.003814225451432829, c2=0.089206470981278 ...................
[CV] c1=0.003814225451432829, c2=0.089206470981278, score=0.873652 - 1.2s
[CV] c1=0.3323283838305798, c2=0.007002119097026294 ..................
[CV] c1=0.3323283838305798, c2=0.007002119097026294, score=0.762779 - 1.4s
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[CV] c1=0.12196360597096503, c2=0.023886738697024967 .................
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[CV] c1=0.10308889515554251, c2=0.05215780911438919 ..................
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[CV] c1=0.3200158533908076, c2=0.12353349840454286 ...................
[CV] c1=0.3200158533908076, c2=0.12353349840454286, score=0.820852 - 1.0s
Training done in: 8.867335s
Saving training model...
Saving training model done in: 0.013562s
*********************************
Prediction done in: 0.033568s
-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: False True
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003659s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 word 2
5 isUpper False
6 isLower False
7 isGreek False
8 isNumber True
9 -1:word fructose
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 word delta-arcA
7 isUpper False
8 isLower False
9 isGreek False
10 isNumber False
11 -1:word _
12 +1:word _
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.795121 - 0.8s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.794216 - 1.1s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.955586 - 1.5s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.844100 - 1.3s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.936685 - 1.5s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.799176 - 1.5s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.922832 - 1.4s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.857663 - 1.4s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.809719 - 1.3s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.864872 - 1.0s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.879946 - 1.2s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.740710 - 1.3s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.856072 - 1.3s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.799176 - 1.4s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.676325 - 0.9s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.935722 - 1.3s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.870142 - 1.3s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.674940 - 1.4s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.657226 - 1.3s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.928690 - 1.4s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.567922 - 1.4s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.818335 - 1.4s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.851982 - 1.4s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.777774 - 1.4s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.927937 - 1.2s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.819890 - 1.5s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.818796 - 1.3s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.876078 - 1.3s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.830318 - 1.1s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.856620 - 1.4s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.820986 - 1.4s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.927937 - 1.5s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.936685 - 1.4s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.863495 - 1.5s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.799176 - 1.5s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.926918 - 1.3s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.791905 - 1.3s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.866478 - 1.2s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.903946 - 1.4s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.928690 - 1.4s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.826386 - 1.3s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.845643 - 1.3s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.926918 - 1.3s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.805552 - 1.2s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.930828 - 1.4s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.684280 - 1.2s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.927937 - 1.3s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.799867 - 1.0s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.808847 - 1.5s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.767166 - 1.6s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.911649 - 1.6s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.721431 - 1.5s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.941978 - 1.5s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.876795 - 1.2s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.696588 - 1.4s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.816251 - 1.5s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.928690 - 1.4s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.813651 - 1.4s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.839700 - 1.2s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.879946 - 1.2s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.687196 - 1.4s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.921976 - 1.3s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.759313 - 1.0s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.904027 - 1.4s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.683171 - 1.4s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.683171 - 1.5s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.799176 - 1.4s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.926918 - 1.4s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.849728 - 1.3s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.926918 - 1.5s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.863576 - 1.4s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.926918 - 1.4s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.679139 - 0.9s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.835213 - 1.1s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.927937 - 1.3s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.839700 - 1.2s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.849130 - 1.3s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.870142 - 0.9s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.922832 - 1.4s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.814733 - 1.4s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.941978 - 1.5s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.920093 - 1.5s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.780680 - 1.3s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.699747 - 1.5s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.735062 - 1.4s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.835213 - 1.3s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.941978 - 1.6s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.939743 - 1.3s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.796283 - 1.1s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.684802 - 1.4s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.794216 - 1.5s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.822899 - 1.4s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.637697 - 1.4s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.839697 - 1.1s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.926918 - 1.4s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.828806 - 1.8s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.826386 - 1.2s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.780680 - 1.4s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.928690 - 1.1s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.808847 - 1.4s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.886202 - 1.4s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.927177 - 1.7s
[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
[CV] c1=0.49992902650593407, c2=0.08388896794863827, score=0.863495 - 1.3s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.886202 - 1.4s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.871506 - 1.4s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.856620 - 1.4s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.838519 - 1.3s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.715291 - 1.2s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.926918 - 1.3s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.794216 - 1.4s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.703776 - 1.2s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.758571 - 1.3s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.782270 - 1.1s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.709711 - 1.4s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.863495 - 1.6s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.841653 - 1.4s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.751641 - 1.4s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.926390 - 1.0s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.787033 - 1.5s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.684280 - 1.5s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.768979 - 1.3s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.805380 - 1.3s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.849130 - 1.1s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.780680 - 1.4s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.795527 - 1.3s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.922832 - 1.4s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.823253 - 1.5s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.687196 - 1.3s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.823253 - 1.5s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.821418 - 1.3s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.858405 - 1.7s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.870142 - 1.5s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.754879 - 1.1s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.936685 - 1.3s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.813649 - 1.3s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.908106 - 1.3s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.926918 - 1.4s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.927937 - 0.9s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.675309 - 1.4s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.942526 - 1.4s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.915933 - 1.4s
[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
[CV] c1=0.25811836591886456, c2=0.003502908245478619, score=0.922832 - 1.6s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.850237 - 1.2s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.799176 - 1.5s
[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
[CV] c1=0.020277686812257625, c2=0.011330282151507338, score=0.839499 - 1.4s
[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
[CV] c1=0.28014290890938814, c2=0.0075068096809199365, score=0.785482 - 1.5s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.560775 - 1.6s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.738861 - 1.2s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.567922 - 1.5s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.780680 - 1.4s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.928690 - 1.3s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.772475 - 1.4s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.839020 - 1.1s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.649262 - 1.5s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.910205 - 1.4s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.936685 - 1.7s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.863495 - 1.4s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.920093 - 0.9s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.904039 - 1.6s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.926918 - 1.3s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.813038 - 1.4s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.721885 - 1.4s
[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
[CV] c1=1.1782099999148323, c2=0.0899930872363767, score=0.560775 - 1.3s
[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
[CV] c1=0.6460969376585063, c2=0.003577453523196396, score=0.875374 - 1.4s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.674636 - 1.4s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.794216 - 1.5s
[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
[CV] c1=1.2364932529016426, c2=0.01658666364686931, score=0.926390 - 1.4s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.839700 - 1.1s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.926918 - 0.8s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.776972 - 1.3s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.666006 - 1.4s
[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
[CV] c1=0.14463635619711196, c2=0.12339706484363977, score=0.818018 - 1.4s
[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
[CV] c1=0.4507902692616989, c2=0.05467840903622824, score=0.742498 - 1.3s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.941978 - 0.9s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.851982 - 1.2s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.815542 - 1.6s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.959931 - 1.4s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.808847 - 1.4s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.836868 - 1.0s
[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
[CV] c1=1.8079092343180891, c2=0.06997547880890734, score=0.690777 - 1.5s
[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
[CV] c1=0.5816474911196993, c2=0.03579145791331891, score=0.928690 - 1.4s
[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
[CV] c1=0.28631733190101855, c2=0.05766330662617827, score=0.780680 - 1.5s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.674636 - 1.4s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.705243 - 1.1s
[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
[CV] c1=0.4725358701847051, c2=0.011338641103277501, score=0.678668 - 1.4s
[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
[CV] c1=0.21690218524714605, c2=0.03082367232859979, score=0.858405 - 1.4s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.841947 - 1.3s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.789760 - 1.5s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.935212 - 1.0s
[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
[CV] c1=0.24755785273147432, c2=0.0030619502477866327, score=0.849047 - 0.8s
[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
[CV] c1=0.30316655208380183, c2=0.057223035304640284, score=0.678668 - 1.2s
[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
[CV] c1=1.585708701874957, c2=0.052463644285994385, score=0.676325 - 1.3s
[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
[CV] c1=0.05852852169391957, c2=0.0012440931972528355, score=0.914914 - 1.3s
[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
[CV] c1=0.539526422204713, c2=0.0031127217504277726, score=0.928690 - 1.3s
[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
[CV] c1=0.15406215902868822, c2=0.04226744278958694, score=0.862849 - 1.0s
Training done in: 9.095942s
Saving training model...
Saving training model done in: 0.014360s
*********************************
Prediction done in: 0.036528s
-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: True True
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003643s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 hUpper False
5 hLower False
6 hGreek False
7 symb False
8 word[:1] 2
9 word 2
10 isUpper False
11 isLower False
12 isGreek False
13 isNumber True
14 -1:word fructose
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 hUpper True
7 hLower True
8 hGreek False
9 symb True
10 word[:1] d
11 word[:2] de
12 word delta-arcA
13 isUpper False
14 isLower False
15 isGreek False
16 isNumber False
17 -1:word _
18 +1:word _
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.816050 - 1.6s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.926953 - 1.7s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.933744 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.887494 - 1.6s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.709618 - 1.3s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.855428 - 1.4s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.879162 - 1.5s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.845321 - 1.6s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.862696 - 1.5s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.757732 - 1.7s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.764025 - 1.7s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.820536 - 1.7s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.946184 - 1.8s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.744402 - 0.9s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.877385 - 1.8s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.764655 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.798251 - 1.4s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.855428 - 1.6s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.842326 - 1.3s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.823547 - 1.8s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.917533 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.849461 - 1.6s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.956017 - 1.7s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.718760 - 1.1s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.769157 - 1.6s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.962317 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.755875 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.825397 - 1.7s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.917914 - 1.7s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.953924 - 1.4s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.837545 - 1.4s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.936979 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.917533 - 1.5s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.910399 - 1.2s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.824698 - 1.5s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.949229 - 1.5s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.901481 - 1.5s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.773844 - 1.6s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.933539 - 1.4s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.773844 - 1.6s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.861150 - 1.6s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.923280 - 1.5s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.837545 - 1.3s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.562594 - 1.3s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.822589 - 1.5s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.851303 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.939878 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.924709 - 1.5s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.902555 - 1.7s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.910399 - 1.5s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.755875 - 1.6s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.818139 - 1.4s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.923280 - 1.2s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.796199 - 1.5s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.844380 - 1.6s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.970312 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.816050 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.845585 - 1.7s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.926953 - 1.5s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.818277 - 1.5s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.923280 - 1.4s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.833612 - 1.3s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.822589 - 1.1s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.953924 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.902555 - 1.5s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.949229 - 1.6s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.764655 - 1.6s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.903957 - 1.7s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.818687 - 1.5s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.923750 - 1.5s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.892091 - 1.8s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.903957 - 1.7s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.769157 - 1.6s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.917705 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.866333 - 1.6s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.815575 - 1.8s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.866245 - 1.5s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.830232 - 1.5s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.807845 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.872561 - 1.6s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.764655 - 1.7s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.833612 - 1.7s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.815575 - 1.6s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.818862 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.800809 - 1.5s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.922774 - 1.5s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.923750 - 1.5s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.866245 - 1.2s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.867361 - 1.8s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.709618 - 1.7s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.773844 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.927469 - 1.6s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.761612 - 1.3s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.862696 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.924709 - 1.7s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.820631 - 1.5s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.839590 - 1.7s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.915929 - 1.6s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.799746 - 1.4s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.799127 - 1.6s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.852815 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.816050 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.851303 - 1.1s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.562594 - 1.7s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.897897 - 1.6s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.924709 - 1.8s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.815575 - 1.8s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.855428 - 1.6s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.773844 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.841687 - 1.6s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.970312 - 1.7s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.915242 - 1.7s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.923750 - 1.5s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.851303 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.587985 - 1.6s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.820536 - 1.8s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.877385 - 1.6s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.898395 - 1.4s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.927469 - 1.4s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.797908 - 1.5s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.936167 - 1.6s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.928824 - 1.7s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.738520 - 1.1s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.789367 - 1.4s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.922590 - 1.7s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.855428 - 1.6s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.849711 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.944383 - 1.5s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.937833 - 1.7s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.851303 - 1.7s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.923750 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.773844 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.953924 - 1.4s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.818277 - 1.5s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.835700 - 1.9s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.901386 - 1.4s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.815575 - 1.6s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.829464 - 1.2s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.903755 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.917705 - 1.6s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.834806 - 1.5s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.950725 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.796213 - 1.4s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.833433 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.718389 - 1.5s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.902555 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.825277 - 1.9s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.956017 - 1.5s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.814586 - 1.5s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.830981 - 1.6s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.857375 - 1.6s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.820536 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.834585 - 1.6s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.714999 - 1.2s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.896825 - 1.4s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.825397 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.820536 - 1.5s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.828677 - 1.4s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.900788 - 1.1s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.772182 - 1.7s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.753726 - 1.6s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.764655 - 1.7s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.923280 - 1.5s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.792455 - 1.3s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.738520 - 1.6s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.927469 - 1.5s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.816050 - 1.6s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.870928 - 1.8s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.929580 - 1.4s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.848984 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.867361 - 1.7s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.840134 - 1.7s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.764655 - 1.7s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.927469 - 1.2s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.956704 - 1.7s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.793425 - 1.6s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.936979 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.868815 - 1.7s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.789891 - 1.4s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.807541 - 1.0s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.856062 - 1.4s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.816050 - 1.9s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.773844 - 1.6s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.953924 - 1.5s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.926953 - 1.0s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.829464 - 1.6s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.900788 - 1.7s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.851163 - 1.7s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.866245 - 1.6s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.817461 - 1.3s
Training done in: 10.755133s
Saving training model...
Saving training model done in: 0.015111s
*********************************
Prediction done in: 0.045793s
-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: False False
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003733s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 -2:lemma Cra
5 -2:postag NNP
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 -2:lemma affyexp
7 -2:postag JJ
8 +2:lemma glucose
9 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.612120 - 0.9s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.884047 - 1.2s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.835967 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.892074 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.782679 - 1.2s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.941312 - 1.3s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.942944 - 1.3s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.836305 - 1.4s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.891300 - 1.2s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.866806 - 0.9s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.722395 - 1.3s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.924842 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.722395 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.697995 - 1.3s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.773327 - 0.7s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.850992 - 1.4s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.722395 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.796785 - 1.3s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.620509 - 1.3s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.880963 - 1.2s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.806609 - 1.1s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.830824 - 1.3s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.672936 - 1.1s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
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[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
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[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
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[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.884047 - 1.2s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.694375 - 1.0s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.864680 - 1.2s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
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[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.954937 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.888803 - 1.2s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.911799 - 1.1s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.722395 - 1.3s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.731953 - 1.3s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.864680 - 1.1s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
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[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.796785 - 1.3s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.903868 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
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[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
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[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
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[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
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[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
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[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
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[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
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[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
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[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
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[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
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[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
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[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
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[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
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[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.907978 - 1.3s
[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.850314 - 1.2s
[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.824789 - 1.1s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.925790 - 1.3s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
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[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
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[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
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[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.859890 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.787478 - 1.2s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.885987 - 1.3s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
[CV] c1=0.5377631801313764, c2=0.022195953517007455, score=0.857192 - 1.0s
[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.836305 - 1.2s
[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
[CV] c1=0.07920069893418874, c2=0.005807967291107957, score=0.893442 - 1.2s
[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
[CV] c1=0.26371633815592305, c2=0.12274372539673989, score=0.850314 - 1.4s
[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.942868 - 1.2s
[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
[CV] c1=0.5377631801313764, c2=0.022195953517007455, score=0.812584 - 0.9s
[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.939034 - 1.3s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.866353 - 1.1s
[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
[CV] c1=0.26371633815592305, c2=0.12274372539673989, score=0.907893 - 1.2s
[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.934983 - 1.2s
[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
[CV] c1=0.5377631801313764, c2=0.022195953517007455, score=0.692146 - 1.2s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.820456 - 1.1s
[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
[CV] c1=0.07920069893418874, c2=0.005807967291107957, score=0.805308 - 1.2s
[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
[CV] c1=0.26371633815592305, c2=0.12274372539673989, score=0.702102 - 1.2s
[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.722395 - 1.2s
[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
[CV] c1=0.5377631801313764, c2=0.022195953517007455, score=0.787478 - 1.1s
[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.902225 - 1.3s
[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
[CV] c1=0.07920069893418874, c2=0.005807967291107957, score=0.935490 - 1.3s
[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
[CV] c1=0.26371633815592305, c2=0.12274372539673989, score=0.939034 - 1.3s
[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.836305 - 1.2s
[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
[CV] c1=0.5377631801313764, c2=0.022195953517007455, score=0.878964 - 1.0s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.836305 - 1.2s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.890571 - 1.4s
[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
[CV] c1=0.26371633815592305, c2=0.12274372539673989, score=0.800397 - 1.4s
[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.874448 - 1.3s
[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
[CV] c1=0.5377631801313764, c2=0.022195953517007455, score=0.939034 - 1.0s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.888787 - 1.3s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.801130 - 1.2s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.849255 - 1.4s
[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.796785 - 1.4s
[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
[CV] c1=0.5377631801313764, c2=0.022195953517007455, score=0.925933 - 1.0s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.692146 - 1.3s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.851597 - 1.3s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.864680 - 1.2s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.854874 - 1.2s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.691907 - 0.9s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.805444 - 1.3s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.820044 - 1.3s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.935724 - 1.2s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.812584 - 1.1s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.791992 - 0.9s
[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.716783 - 1.4s
[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
[CV] c1=0.07920069893418874, c2=0.005807967291107957, score=0.931890 - 1.2s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.839355 - 1.3s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.778057 - 1.4s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.924842 - 1.0s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.787400 - 1.2s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.787478 - 1.4s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.909759 - 1.2s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.920937 - 1.1s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.772405 - 1.1s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.847786 - 1.2s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.876912 - 1.2s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.722395 - 1.2s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.692146 - 1.5s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.945082 - 0.9s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.782242 - 1.3s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.732358 - 1.4s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.954937 - 1.3s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.914038 - 1.3s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.849422 - 0.9s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.848606 - 1.2s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.896731 - 1.1s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.796785 - 1.3s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.787478 - 1.3s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.840127 - 1.0s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.743110 - 0.9s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.954937 - 1.2s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.872936 - 1.2s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.897917 - 1.2s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.939034 - 1.2s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.816898 - 1.0s
Training done in: 8.255246s
Saving training model...
Saving training model done in: 0.013229s
*********************************
Prediction done in: 0.030456s
-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: True False
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003691s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 hUpper False
5 hLower False
6 hGreek False
7 symb False
8 word[:1] 2
9 -2:lemma Cra
10 -2:postag NNP
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 hUpper True
7 hLower True
8 hGreek False
9 symb True
10 word[:1] d
11 word[:2] de
12 -2:lemma affyexp
13 -2:postag JJ
14 +2:lemma glucose
15 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
[CV] c1=2.0772840450026786, c2=0.01612403394563899, score=0.793425 - 1.4s
[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
[CV] c1=0.9447446796043686, c2=0.014950641482488432, score=0.867343 - 1.3s
[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.690464 - 1.7s
[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.927296 - 1.5s
[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.865012 - 1.4s
[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.929588 - 1.5s
[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.794911 - 1.3s
[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.879117 - 1.7s
[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
[CV] c1=1.2084188241795155, c2=0.05654297208049296, score=0.778490 - 1.3s
[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.865854 - 1.4s
[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.935899 - 1.4s
[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.867343 - 1.4s
[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
[CV] c1=0.22034340464816077, c2=0.023290360446083555, score=0.821783 - 1.5s
[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.939330 - 1.5s
[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.853112 - 1.3s
[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
[CV] c1=0.16931667210800003, c2=0.01855789911042521, score=0.865456 - 1.4s
[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
[CV] c1=0.12921575529399648, c2=0.022522239009519832, score=0.894301 - 1.3s
[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
[CV] c1=0.09691034944164684, c2=0.004204871857834622, score=0.865456 - 1.3s
[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
[CV] c1=1.2084188241795155, c2=0.05654297208049296, score=0.894474 - 1.4s
[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
[CV] c1=0.15419879816724802, c2=0.012826859604695727, score=0.834907 - 1.3s
[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.858859 - 1.4s
[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.841065 - 1.3s
[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.935899 - 1.6s
[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.828226 - 1.6s
[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
[CV] c1=0.15419879816724802, c2=0.012826859604695727, score=0.854635 - 1.3s
[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
[CV] c1=2.0772840450026786, c2=0.01612403394563899, score=0.757614 - 1.4s
[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
[CV] c1=0.9447446796043686, c2=0.014950641482488432, score=0.812241 - 1.4s
[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.835814 - 1.6s
[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
[CV] c1=0.33724815678767384, c2=0.15538629766986978, score=0.879798 - 1.6s
[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
[CV] c1=0.2074777767896592, c2=0.02494933488641053, score=0.700963 - 1.8s
[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
[CV] c1=2.0772840450026786, c2=0.01612403394563899, score=0.900542 - 1.2s
[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
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[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
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[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
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[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
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[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
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[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
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[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
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[CV] c1=0.33724815678767384, c2=0.15538629766986978 ..................
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[CV] c1=0.2074777767896592, c2=0.02494933488641053 ...................
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[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
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[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
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[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
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[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
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[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
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[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
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[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
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[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
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[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
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[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
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[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
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[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
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[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
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[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
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[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
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[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
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[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
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[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
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[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
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[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
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[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
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[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
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[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
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[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
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[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
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[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
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[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
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[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
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[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
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[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
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[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
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[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
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[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
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[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
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[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
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[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
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[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
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[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
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[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
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[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
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[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
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[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
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[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
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[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
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[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
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[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
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[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
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[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
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[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
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[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
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[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
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[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
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[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
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[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
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[CV] c1=0.15419879816724802, c2=0.012826859604695727 .................
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[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
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[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
[CV] c1=0.12921575529399648, c2=0.022522239009519832, score=0.867318 - 1.8s
[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
[CV] c1=0.16045199952287093, c2=0.03349544150437709, score=0.846341 - 1.6s
[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
[CV] c1=1.102798163509896, c2=0.07441446987912796, score=0.867343 - 1.4s
[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.879798 - 1.2s
[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
[CV] c1=0.7077783869918963, c2=0.018821218321315464, score=0.898930 - 1.6s
[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
[CV] c1=0.49390388777624017, c2=0.07495517296178955, score=0.881616 - 1.4s
[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
[CV] c1=0.09691034944164684, c2=0.004204871857834622, score=0.935899 - 1.4s
[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
[CV] c1=0.2992471675291976, c2=0.04387206593008659, score=0.901459 - 1.5s
[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
[CV] c1=0.7138037380094754, c2=0.09821277598627046, score=0.928279 - 1.3s
[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
[CV] c1=0.16931667210800003, c2=0.01855789911042521, score=0.914826 - 1.5s
[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
[CV] c1=0.49390388777624017, c2=0.07495517296178955, score=0.793739 - 1.4s
[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
[CV] c1=0.09691034944164684, c2=0.004204871857834622, score=0.902301 - 1.3s
[CV] c1=1.2084188241795155, c2=0.05654297208049296 ...................
[CV] c1=1.2084188241795155, c2=0.05654297208049296, score=0.808333 - 1.5s
[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
[CV] c1=0.7138037380094754, c2=0.09821277598627046, score=0.744355 - 1.5s
[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
[CV] c1=0.16931667210800003, c2=0.01855789911042521, score=0.946103 - 1.6s
[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
[CV] c1=0.49390388777624017, c2=0.07495517296178955, score=0.946103 - 1.6s
[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
[CV] c1=0.16045199952287093, c2=0.03349544150437709, score=0.853112 - 1.5s
[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
[CV] c1=1.102798163509896, c2=0.07441446987912796, score=0.789267 - 1.3s
[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.926731 - 1.2s
[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
[CV] c1=0.16931667210800003, c2=0.01855789911042521, score=0.864529 - 1.5s
[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
[CV] c1=0.49390388777624017, c2=0.07495517296178955, score=0.918393 - 1.3s
[CV] c1=0.09691034944164684, c2=0.004204871857834622 .................
[CV] c1=0.09691034944164684, c2=0.004204871857834622, score=0.917968 - 1.6s
[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
[CV] c1=1.102798163509896, c2=0.07441446987912796, score=0.723972 - 1.5s
[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.843948 - 1.3s
[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.914386 - 1.2s
[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
[CV] c1=0.9447446796043686, c2=0.014950641482488432, score=0.904019 - 1.3s
[CV] c1=0.1805136966403216, c2=0.07777892802577017 ...................
[CV] c1=0.1805136966403216, c2=0.07777892802577017, score=0.860367 - 1.3s
[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
[CV] c1=0.16045199952287093, c2=0.03349544150437709, score=0.877204 - 1.3s
[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
[CV] c1=1.102798163509896, c2=0.07441446987912796, score=0.903885 - 1.3s
[CV] c1=0.7138037380094754, c2=0.09821277598627046 ...................
[CV] c1=0.7138037380094754, c2=0.09821277598627046, score=0.824101 - 1.4s
[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
[CV] c1=0.16931667210800003, c2=0.01855789911042521, score=0.725655 - 1.5s
[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
[CV] c1=0.49390388777624017, c2=0.07495517296178955, score=0.728502 - 1.7s
[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
[CV] c1=0.16045199952287093, c2=0.03349544150437709, score=0.840805 - 1.5s
[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
[CV] c1=1.102798163509896, c2=0.07441446987912796, score=0.922388 - 1.5s
[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.871305 - 1.1s
[CV] c1=0.7077783869918963, c2=0.018821218321315464 ..................
[CV] c1=0.7077783869918963, c2=0.018821218321315464, score=0.838552 - 1.4s
[CV] c1=0.880769811590579, c2=0.06496317380759915 ....................
[CV] c1=0.880769811590579, c2=0.06496317380759915, score=0.816538 - 1.4s
[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
[CV] c1=0.22034340464816077, c2=0.023290360446083555, score=0.951395 - 1.8s
[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
[CV] c1=0.2992471675291976, c2=0.04387206593008659, score=0.831561 - 1.6s
[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.857572 - 1.2s
[CV] c1=0.1226651147490872, c2=0.0059614661118123965 .................
[CV] c1=0.1226651147490872, c2=0.0059614661118123965, score=0.951395 - 1.7s
[CV] c1=0.12921575529399648, c2=0.022522239009519832 .................
[CV] c1=0.12921575529399648, c2=0.022522239009519832, score=0.935899 - 1.6s
[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
[CV] c1=0.16045199952287093, c2=0.03349544150437709, score=0.850847 - 1.4s
[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
[CV] c1=0.2992471675291976, c2=0.04387206593008659, score=0.921722 - 1.6s
[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.683730 - 1.4s
[CV] c1=0.16931667210800003, c2=0.01855789911042521 ..................
[CV] c1=0.16931667210800003, c2=0.01855789911042521, score=0.814557 - 1.6s
[CV] c1=0.49390388777624017, c2=0.07495517296178955 ..................
[CV] c1=0.49390388777624017, c2=0.07495517296178955, score=0.857594 - 1.3s
[CV] c1=0.16045199952287093, c2=0.03349544150437709 ..................
[CV] c1=0.16045199952287093, c2=0.03349544150437709, score=0.710879 - 1.5s
[CV] c1=1.102798163509896, c2=0.07441446987912796 ....................
[CV] c1=1.102798163509896, c2=0.07441446987912796, score=0.599896 - 1.5s
[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.839397 - 1.3s
[CV] c1=2.0772840450026786, c2=0.01612403394563899 ...................
[CV] c1=2.0772840450026786, c2=0.01612403394563899, score=0.825639 - 1.4s
[CV] c1=0.9447446796043686, c2=0.014950641482488432 ..................
[CV] c1=0.9447446796043686, c2=0.014950641482488432, score=0.816538 - 1.5s
[CV] c1=0.22034340464816077, c2=0.023290360446083555 .................
[CV] c1=0.22034340464816077, c2=0.023290360446083555, score=0.911621 - 2.0s
[CV] c1=0.2992471675291976, c2=0.04387206593008659 ...................
[CV] c1=0.2992471675291976, c2=0.04387206593008659, score=0.946103 - 1.7s
[CV] c1=0.10042756262488722, c2=0.2272603272440672 ...................
[CV] c1=0.10042756262488722, c2=0.2272603272440672, score=0.922662 - 1.3s
Training done in: 9.974953s
Saving training model...
Saving training model done in: 0.014405s
*********************************
Prediction done in: 0.041326s
-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: False True
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003589s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 word 2
5 isUpper False
6 isLower False
7 isGreek False
8 isNumber True
9 -1:word fructose
10 -2:lemma Cra
11 -2:postag NNP
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 word delta-arcA
7 isUpper False
8 isLower False
9 isGreek False
10 isNumber False
11 -1:word _
12 +1:word _
13 -2:lemma affyexp
14 -2:postag JJ
15 +2:lemma glucose
16 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.812004 - 1.8s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.942897 - 1.7s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.864398 - 1.4s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.913784 - 1.6s
[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.925023 - 1.5s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.857259 - 1.7s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.832339 - 1.5s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.797155 - 1.5s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.722085 - 1.3s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.593248 - 1.5s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.931991 - 1.5s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.631304 - 1.6s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.818750 - 1.5s
[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.934247 - 1.5s
[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.892921 - 1.5s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.931991 - 1.4s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.884219 - 1.4s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.900039 - 1.5s
[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.847604 - 1.4s
[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.888803 - 1.4s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.908106 - 1.5s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.820419 - 1.6s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.792413 - 1.5s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.866353 - 1.1s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.754354 - 1.6s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.866353 - 1.5s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.795729 - 1.7s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.896776 - 1.6s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.923188 - 1.5s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.880703 - 1.3s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.826748 - 1.6s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.854874 - 1.5s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.862900 - 1.6s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.889632 - 1.4s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.795935 - 1.5s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.932685 - 1.5s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.900039 - 1.7s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.832762 - 1.5s
[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.854811 - 1.5s
[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.931991 - 1.6s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.863001 - 1.6s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.869996 - 1.5s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.794118 - 1.3s
[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.931991 - 1.5s
[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.717781 - 1.6s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.717781 - 1.6s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.927267 - 1.5s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.938179 - 1.4s
[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.702261 - 1.7s
[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.847604 - 1.7s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.931991 - 1.5s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.888803 - 1.4s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.885973 - 1.3s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.836597 - 1.5s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.841763 - 1.8s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.909826 - 1.6s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.707282 - 1.5s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
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[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.897630 - 1.4s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.902216 - 1.5s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.827578 - 1.6s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.800618 - 1.7s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.725502 - 1.3s
[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.858211 - 1.5s
[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.822379 - 1.8s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.889602 - 1.3s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.863344 - 1.6s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.857036 - 1.4s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.931991 - 1.4s
[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.913784 - 1.5s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.932685 - 1.6s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.859339 - 1.6s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.779870 - 1.3s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.853767 - 1.4s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.722644 - 1.6s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.931814 - 1.6s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
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[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
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[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
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[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
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[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
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[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
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[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
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[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.951585 - 1.6s
[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.812297 - 1.5s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
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[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.808831 - 1.7s
[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
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[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
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[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
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[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
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[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
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[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
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[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
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[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.812491 - 1.7s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.888803 - 1.5s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.847604 - 1.9s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.874665 - 1.4s
[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.824167 - 1.6s
[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.847336 - 1.6s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.874448 - 1.5s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.932685 - 1.6s
[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
[CV] c1=0.08021472274752509, c2=0.027005041681951836, score=0.869996 - 1.3s
[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.913784 - 1.6s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.865491 - 1.5s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.927146 - 1.4s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.867607 - 1.4s
[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
[CV] c1=0.08021472274752509, c2=0.027005041681951836, score=0.842929 - 1.2s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.842929 - 1.6s
[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.923193 - 1.6s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.695368 - 1.5s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.690732 - 1.4s
[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
[CV] c1=0.08021472274752509, c2=0.027005041681951836, score=0.931991 - 1.3s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.727697 - 1.6s
[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.869996 - 1.4s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.808087 - 1.6s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.853767 - 1.6s
[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
[CV] c1=0.08021472274752509, c2=0.027005041681951836, score=0.964555 - 1.3s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.889602 - 1.4s
[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.853767 - 1.5s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.844828 - 1.5s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.826198 - 1.7s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.879728 - 1.4s
[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.685173 - 1.6s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.906999 - 1.4s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.827578 - 1.5s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.892921 - 1.4s
[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
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[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
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[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
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[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.889632 - 1.5s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
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[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
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[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.819378 - 1.5s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.794678 - 1.7s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.913784 - 1.5s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.875811 - 1.3s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.889602 - 1.2s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
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[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
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[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
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[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
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[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
[CV] c1=0.08021472274752509, c2=0.027005041681951836, score=0.847336 - 1.4s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
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[CV] c1=0.2746340819596076, c2=0.08419699865455273 ...................
[CV] c1=0.2746340819596076, c2=0.08419699865455273, score=0.942868 - 1.6s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.707282 - 1.5s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.822156 - 1.5s
[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
[CV] c1=0.08021472274752509, c2=0.027005041681951836, score=0.889602 - 1.2s
[CV] c1=0.13042374827778608, c2=0.06368270039584899 ..................
[CV] c1=0.13042374827778608, c2=0.06368270039584899, score=0.816610 - 1.7s
[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.897630 - 1.4s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.931814 - 1.6s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.931991 - 1.5s
[CV] c1=0.08021472274752509, c2=0.027005041681951836 .................
[CV] c1=0.08021472274752509, c2=0.027005041681951836, score=0.727697 - 1.5s
[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.857043 - 1.5s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.854023 - 1.6s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.819378 - 1.5s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.922396 - 1.4s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.848337 - 1.1s
[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.875532 - 1.4s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.874121 - 1.4s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.829863 - 1.5s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.813378 - 1.5s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.707282 - 1.2s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.923193 - 1.6s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.844710 - 1.8s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.853767 - 1.5s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.859362 - 1.4s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.927267 - 1.1s
[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.848460 - 1.5s
[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
[CV] c1=0.01276023136139416, c2=0.00034626793107697863, score=0.742472 - 1.5s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.862013 - 1.4s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.811515 - 1.6s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.847604 - 1.3s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.832180 - 1.3s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.813706 - 1.4s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.853767 - 1.5s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.906331 - 1.4s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.832339 - 1.3s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.858557 - 1.1s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.931991 - 1.1s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.651310 - 1.4s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.848517 - 1.5s
[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
[CV] c1=0.4405650987742859, c2=0.004235340563311358, score=0.808180 - 1.5s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.808180 - 1.5s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.854811 - 1.1s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.818254 - 1.6s
[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.833325 - 1.6s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.942868 - 1.7s
[CV] c1=0.48249797043815057, c2=0.05667772111237003 ..................
[CV] c1=0.48249797043815057, c2=0.05667772111237003, score=0.831708 - 1.7s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.929748 - 1.1s
[CV] c1=0.08233258385147266, c2=0.020833701807043192 .................
[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.847332 - 1.6s
[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.863001 - 1.6s
[CV] c1=0.15772557550797406, c2=0.061939583345932074 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.937977 - 1.6s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.939034 - 1.8s
[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
[CV] c1=0.03298015153695654, c2=0.07572577302563187, score=0.969518 - 1.2s
Training done in: 10.136854s
Saving training model...
Saving training model done in: 0.013141s
*********************************
Prediction done in: 0.039379s
-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: True True
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003613s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 hUpper False
5 hLower False
6 hGreek False
7 symb False
8 word[:1] 2
9 word 2
10 isUpper False
11 isLower False
12 isGreek False
13 isNumber True
14 -1:word fructose
15 -2:lemma Cra
16 -2:postag NNP
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 hUpper True
7 hLower True
8 hGreek False
9 symb True
10 word[:1] d
11 word[:2] de
12 word delta-arcA
13 isUpper False
14 isLower False
15 isGreek False
16 isNumber False
17 -1:word _
18 +1:word _
19 -2:lemma affyexp
20 -2:postag JJ
21 +2:lemma glucose
22 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.856131 - 1.3s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.850628 - 1.8s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.855584 - 1.8s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.805243 - 1.9s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.860618 - 1.9s
[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
[CV] c1=0.7548748937747425, c2=0.01567613490693052, score=0.817562 - 1.5s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.936699 - 1.8s
[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
[CV] c1=0.3472271220144462, c2=0.014176061322889857, score=0.839785 - 1.6s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.940884 - 1.7s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.880183 - 1.6s
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.946646 - 1.8s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.904483 - 1.6s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.931991 - 1.8s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.927469 - 1.9s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.831340 - 1.8s
[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
[CV] c1=0.4217142984283428, c2=0.1679065014088753, score=0.931991 - 1.8s
[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
[CV] c1=0.2336502013872894, c2=0.09318602763483955, score=0.860367 - 1.6s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.931487 - 1.8s
[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
[CV] c1=0.15298119165388915, c2=0.018482656916134235, score=0.843262 - 1.9s
[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.694284 - 1.7s
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.684520 - 1.4s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.860618 - 1.7s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.866388 - 2.0s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.792923 - 1.8s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.834495 - 2.0s
[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
[CV] c1=0.7548748937747425, c2=0.01567613490693052, score=0.823620 - 1.7s
[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
[CV] c1=0.2336502013872894, c2=0.09318602763483955, score=0.862461 - 1.6s
[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
[CV] c1=0.3472271220144462, c2=0.014176061322889857, score=0.835917 - 1.8s
[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
[CV] c1=0.15298119165388915, c2=0.018482656916134235, score=0.931991 - 1.6s
[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.866388 - 1.5s
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.904483 - 1.5s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.931991 - 1.7s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.834436 - 1.8s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.820947 - 1.7s
[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.923585 - 2.2s
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.819500 - 1.7s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.819500 - 1.7s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.886301 - 1.6s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.932900 - 1.9s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.831561 - 1.8s
[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
[CV] c1=0.4217142984283428, c2=0.1679065014088753, score=0.859499 - 1.6s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.950725 - 1.8s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.919606 - 1.8s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.876202 - 1.7s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.922774 - 1.9s
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.922774 - 1.7s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.857572 - 1.9s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.854858 - 1.8s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.816251 - 1.9s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.932775 - 1.9s
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.873704 - 1.7s
[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
[CV] c1=0.40509433275603074, c2=0.06406543656353396, score=0.848780 - 1.9s
[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
[CV] c1=0.006371899009903469, c2=0.06787470837280492, score=0.867297 - 1.8s
[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.852277 - 1.9s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
[CV] c1=0.41559189389198053, c2=0.024104836626471112, score=0.946646 - 2.0s
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
[CV] c1=0.4420415052296795, c2=0.07721906671833131, score=0.936699 - 1.8s
[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
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[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
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[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
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[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.849184 - 1.8s
[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
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[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
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[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
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[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
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[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
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[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
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[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
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[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
[CV] c1=0.012363125351600902, c2=0.1572507114704887, score=0.931991 - 1.8s
[CV] c1=0.4420415052296795, c2=0.07721906671833131 ...................
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[CV] c1=0.40509433275603074, c2=0.06406543656353396 ..................
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[CV] c1=0.006371899009903469, c2=0.06787470837280492 .................
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[CV] c1=0.5360507066860308, c2=0.22373749787706054 ...................
[CV] c1=0.5360507066860308, c2=0.22373749787706054, score=0.677786 - 1.9s
[CV] c1=0.41559189389198053, c2=0.024104836626471112 .................
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[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
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[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
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[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
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[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
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[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
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[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
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[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
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[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
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[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
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[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
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[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
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[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
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[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
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[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
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[CV] c1=0.012363125351600902, c2=0.1572507114704887 ..................
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[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
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[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
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[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
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[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
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[CV] c1=0.011895855801865073, c2=0.13347483267807422 .................
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[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
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[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
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[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
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[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
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[CV] c1=0.011895855801865073, c2=0.13347483267807422 .................
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[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
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[CV] c1=0.011895855801865073, c2=0.13347483267807422 .................
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[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
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[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
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[CV] c1=0.011895855801865073, c2=0.13347483267807422 .................
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[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
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[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
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[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
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[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
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[CV] c1=0.3472271220144462, c2=0.014176061322889857 ..................
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[CV] c1=0.15298119165388915, c2=0.018482656916134235 .................
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[CV] c1=0.011895855801865073, c2=0.13347483267807422 .................
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[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
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[CV] c1=0.2336502013872894, c2=0.09318602763483955 ...................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
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[CV] c1=0.011895855801865073, c2=0.13347483267807422 .................
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[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
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[CV] c1=0.011895855801865073, c2=0.13347483267807422 .................
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[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
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[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
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[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
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[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
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[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
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[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
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[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
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[CV] c1=0.4217142984283428, c2=0.1679065014088753 ....................
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[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
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[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
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[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
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[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
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[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.855584 - 1.8s
[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.834495 - 1.9s
[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.872206 - 1.7s
[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.647210 - 1.8s
[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.821826 - 1.4s
[CV] c1=0.7548748937747425, c2=0.01567613490693052 ...................
[CV] c1=0.7548748937747425, c2=0.01567613490693052, score=0.815186 - 1.7s
[CV] c1=0.8144879781785279, c2=0.024720227111225807 ..................
[CV] c1=0.8144879781785279, c2=0.024720227111225807, score=0.927028 - 1.8s
[CV] c1=0.28682775544038513, c2=0.08729987447030063 ..................
[CV] c1=0.28682775544038513, c2=0.08729987447030063, score=0.709513 - 1.8s
[CV] c1=0.4023568295081368, c2=0.005508317640747278 ..................
[CV] c1=0.4023568295081368, c2=0.005508317640747278, score=0.834495 - 1.8s
[CV] c1=0.011895855801865073, c2=0.13347483267807422 .................
[CV] c1=0.011895855801865073, c2=0.13347483267807422, score=0.931991 - 1.4s
[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.869204 - 1.7s
[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.858068 - 1.9s
[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.965003 - 1.8s
[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.827485 - 1.8s
[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.793883 - 1.2s
[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.929431 - 1.8s
[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.811937 - 1.8s
[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.878301 - 1.7s
[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.932900 - 1.8s
[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.928279 - 1.2s
[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.872206 - 1.8s
[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.917821 - 1.7s
[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.694284 - 1.8s
[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.834495 - 2.0s
[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.851880 - 1.4s
[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.854858 - 1.7s
[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.827485 - 1.7s
[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.931991 - 1.7s
[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.781928 - 1.8s
[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.607714 - 1.5s
[CV] c1=0.0006462709537178506, c2=0.04908644406590121 ................
[CV] c1=0.0006462709537178506, c2=0.04908644406590121, score=0.834436 - 1.8s
[CV] c1=0.8064748804871678, c2=0.0566511582931341 ....................
[CV] c1=0.8064748804871678, c2=0.0566511582931341, score=0.932900 - 2.0s
[CV] c1=0.034331838389826896, c2=0.07441350049485611 .................
[CV] c1=0.034331838389826896, c2=0.07441350049485611, score=0.939823 - 1.8s
[CV] c1=0.7303370849262278, c2=0.0338506308830609 ....................
[CV] c1=0.7303370849262278, c2=0.0338506308830609, score=0.819500 - 1.8s
[CV] c1=1.327429294256592, c2=0.014318433897260289 ...................
[CV] c1=1.327429294256592, c2=0.014318433897260289, score=0.799616 - 1.2s
Training done in: 11.832994s
Saving training model...
Saving training model done in: 0.013243s
*********************************
Prediction done in: 0.046246s
********** TRAINING AND TESTING REPORT **********
Training file: training-data-set-70.txt
best params:{'c1': 0.024804754224065653, 'c2': 0.026332251363984482}
best CV score:0.8626966953699922
model size: 0.10M
Flat F1: 0.7953444873529578
precision recall f1-score support
OD 1.000 0.818 0.900 22
pH 1.000 1.000 1.000 8
Technique 0.955 0.913 0.933 23
Med 1.000 0.925 0.961 53
Temp 1.000 0.862 0.926 29
Vess 1.000 1.000 1.000 1
Agit 0.000 0.000 0.000 0
Phase 0.882 1.000 0.938 15
Air 0.556 0.362 0.439 69
Anti 1.000 1.000 1.000 11
Strain 0.000 0.000 0.000 1
Gtype 0.885 0.812 0.847 85
Substrain 0.000 0.000 0.000 0
Supp 0.740 0.806 0.771 134
Gversion 0.000 0.000 0.000 0
avg / total 0.824 0.776 0.795 451
Top likely transitions:
Med -> Med 5.545764
Temp -> Temp 5.118869
Anti -> Anti 5.022474
Supp -> Supp 4.944409
Agit -> Agit 4.925593
O -> O 4.888680
OD -> OD 4.698686
Gversion -> Gversion 4.350063
Phase -> Phase 4.290854
Gtype -> Gtype 4.215846
Air -> Air 4.181005
pH -> pH 2.956106
Technique -> Technique 2.838587
Substrain -> Gtype 1.873535
Air -> O 1.516447
O -> Supp 1.415331
O -> Gtype 1.270233
O -> Technique 1.261122
Gtype -> Supp 1.190061
Technique -> Air 0.959217
Gtype -> Air 0.936830
Gtype -> pH 0.853710
O -> Temp 0.845524
Supp -> O 0.704955
O -> Anti 0.694667
Med -> O 0.684291
Temp -> O 0.625417
Strain -> O 0.581167
O -> Phase 0.421082
O -> Vess 0.413494
O -> pH 0.339073
OD -> O 0.300062
O -> Gversion 0.261830
Vess -> O 0.192023
pH -> O 0.184368
O -> OD 0.116488
Anti -> O 0.089973
Phase -> O 0.051721
O -> Med 0.019469
O -> Agit 0.015049
Phase -> Air 0.003425
Agit -> O 0.002023
O -> Substrain -0.000032
Substrain -> Supp -0.002943
Temp -> OD -0.004215
Phase -> Temp -0.007335
Phase -> pH -0.025090
Agit -> Technique -0.025722
Med -> Temp -0.029032
Med -> pH -0.034229
Top unlikely transitions:
Phase -> Gtype -0.294057
OD -> Technique -0.297711
Technique -> O -0.306623
Air -> OD -0.307225
Gversion -> Gtype -0.310374
Supp -> Phase -0.319140
Gversion -> Air -0.333906
pH -> Supp -0.335852
Med -> Air -0.349176
Gtype -> OD -0.377741
Gversion -> Supp -0.404348
Supp -> Gversion -0.405275
Air -> Gtype -0.418074
Technique -> Gversion -0.422829
Anti -> Supp -0.435123
Phase -> Med -0.453374
Supp -> pH -0.462162
Supp -> OD -0.467003
OD -> Med -0.473832
Phase -> Supp -0.489054
Supp -> Technique -0.515059
Anti -> Temp -0.526236
Anti -> Med -0.565094
Anti -> Gtype -0.573872
Air -> Agit -0.584026
O -> Air -0.598917
Supp -> Gtype -0.641271
OD -> Supp -0.659591
Phase -> Technique -0.661699
Gtype -> Technique -0.664240
Supp -> Air -0.666549
Technique -> Supp -0.698075
Gtype -> Gversion -0.701157
Temp -> Med -0.725327
Agit -> Air -0.745117
Air -> Supp -0.749135
Gtype -> Anti -0.788528
Supp -> Anti -0.838413
OD -> Air -0.847265
Air -> Temp -0.911031
Technique -> OD -0.965718
Air -> Phase -0.970480
Air -> Med -0.991698
Phase -> OD -1.016577
Gtype -> Med -1.049535
Supp -> Med -1.191676
Technique -> pH -1.256688
Substrain -> O -1.424097
Technique -> Gtype -1.566747
Med -> Supp -2.218671
Top positive:
7.776659 O b'lemma:_'
5.975571 Supp b'lemma:Iron'
5.907511 O b'lemma:2'
5.710914 Phase b'lemma:mid-log'
5.647215 Air b'lemma:anaerobic'
5.345989 O b'lemma:1'
5.262494 Air b'lemma:Aerobic'
5.215827 Technique b'lemma:ChIP-exo'
5.200674 Phase b'lemma:exponential'
5.200674 Phase b'lemma:stationary'
5.199049 Supp b'lemma:pq'
5.112428 Technique b'lemma:chipseq'
4.963988 Gtype b'lemma:wt'
4.802177 Gtype b'lemma:\xce\xb4cra'
4.761611 O b'lemma:3'
4.603616 Gtype b'lemma:flag-tag'
4.603616 Gtype b'-1:lemma:c-terminal'
4.598900 Supp b'lemma:glucose'
4.572147 O b'lemma:Cra'
4.478959 Gversion b'lemma:asm584v2'
4.462051 Med b'lemma:MOPS'
4.432094 O b'lemma:rpob'
4.402956 O b'lemma:-'
4.395801 Gtype b'lemma:arca8myc'
4.377686 O b'postag:IN'
4.195141 Supp b'lemma:acetate'
4.159898 O b'-1:lemma:tag'
4.110268 O b'lemma:rep1'
4.085656 Supp b'+1:lemma:\xc2\xb5m'
4.013271 O b'lemma:b'
3.973978 O b'lemma:rep3'
3.961464 Air b'lemma:aerobic'
3.871776 Supp b'lemma:nacl'
3.858182 Gtype b'lemma:wild-type'
3.858045 Supp b'lemma:nh4cl'
3.841591 Supp b'lemma:no3'
3.812132 O b'lemma:a'
3.775627 Technique b'lemma:rna-seq'
3.774431 Substrain b'lemma:mg1655'
3.733252 Strain b'+1:lemma:substr'
3.717605 Gtype b'lemma:fnr8myc'
3.639440 Air b'-1:lemma:ChIP-Seq'
3.635441 O b'lemma:rep2'
3.605965 Supp b'-1:lemma:Cra'
3.600877 Technique b'lemma:rnaseq'
3.557392 Supp b'lemma:dpd'
3.524445 Med b'lemma:lb'
3.501719 O b'+1:lemma:pq'
3.496865 Technique b'lemma:chip-seq'
3.480585 Strain b'lemma:k-12'
3.475081 Gtype b'lemma:delta-fnr'
3.470758 Supp b'-1:lemma:with'
3.470048 Anti b'lemma:none'
3.469906 Med b'-1:lemma:ml'
3.463179 O b'postag:VBN'
3.451746 O b'-1:lemma:ChIP-exo'
3.432020 Supp b'lemma:rifampicin'
3.426582 O b'lemma:CEL'
3.416815 Gtype b'lemma:type'
3.406077 Supp b'+1:lemma:Deficient'
3.398632 Air b'lemma:anaeroibc'
3.388380 Air b'postag:RB'
3.388370 O b'lemma:.'
3.388370 O b'postag:.'
3.371443 Gtype b'lemma:\xe2\x88\x86'
3.357054 Anti b'lemma:\xcf\x8332'
3.354154 Gtype b'+1:lemma:type'
3.342879 Anti b'lemma:seqa'
3.329824 O b'-1:lemma:glucose'
3.324574 O b'lemma:Custom'
3.300771 Gtype b'lemma:\xce\xb4fur'
3.284311 Gtype b'lemma:\xce\xb4soxr'
3.253912 O b'postag:CC'
3.238363 Gtype b'-1:lemma:\xe2\x88\x86'
3.210983 O b'lemma:ompr'
3.144517 Gversion b'lemma:chip-seq'
3.115739 Med b'+1:lemma:0.4'
3.112118 O b'-1:lemma:lb'
3.095696 Gtype b'lemma:delta-arca'
3.089280 Air b'-1:lemma:-'
3.088994 Gtype b'lemma:dfnr'
3.086043 O b'lemma:\xcf\x8332'
3.067881 Gversion b'lemma:nc'
3.060922 O b'lemma:with'
3.044778 O b'postag::'
3.026219 Gtype b'+1:lemma:with'
3.026177 Supp b'lemma:Leu'
3.022500 Gtype b'lemma:WT'
3.007071 O b'-1:lemma:0.3'
2.991648 Supp b'-1:lemma:+'
2.954869 O b'lemma:chip-arca'
2.954041 O b'-1:lemma:stpa'
2.923318 Phase b'lemma:phase'
2.899089 Supp b'lemma:nitrate'
2.892849 O b'lemma:affyexp'
2.883565 Gtype b'+1:lemma:ph5'
2.870173 Temp b'+1:lemma:in'
2.870110 Supp b'-1:lemma:vol'
2.867188 Vess b'lemma:flask'
2.867188 Vess b'-1:lemma:warm'
2.866190 Supp b'+1:lemma:1'
2.839661 Supp b'lemma:Fe'
2.826816 O b'lemma:s'
2.806231 Med b'lemma:m63'
2.799579 O b'-1:lemma:Aerobic'
2.787436 O b'lemma:chip'
2.772363 Anti b'lemma:anti-myc'
2.760574 Air b'lemma:anaerobically'
2.749559 O b'postag:VBG'
2.746154 Gversion b'lemma:u00096'
2.746154 Gversion b'+1:lemma:.2'
2.725160 Gtype b'+1:lemma:pq'
2.719444 Gtype b'lemma:\xce\xb4oxyr'
2.718369 Agit b'lemma:rpm'
2.713268 Temp b'-1:lemma:43'
2.704978 pH b'lemma:ph5'
2.704978 pH b'+1:lemma:.5'
2.678136 OD b'lemma:od450'
2.673757 Phase b'-1:lemma:mid-log'
2.658189 Gversion b'lemma:000913'
2.646163 Technique b'lemma:ChIP-Seq'
2.638208 Supp b'lemma:Adenine'
2.625538 Substrain b'+1:lemma:phtpg'
2.623144 Supp b'lemma:arginine'
2.622109 pH b'+1:postag:CD'
2.620233 O b'+1:lemma:od600'
2.619615 Technique b'-1:lemma:IP'
2.614363 Substrain b'lemma:mg1655star'
2.584166 Gversion b'lemma:.2'
2.584166 Gversion b'-1:lemma:u00096'
2.582884 O b'+1:lemma:or'
2.578376 Agit b'+1:lemma:rpm'
2.573834 O b'lemma:soxs'
2.573834 O b'lemma:soxr'
2.571090 O b'-1:lemma:type'
2.570894 Gtype b'lemma:nsrr'
2.564906 Gversion b'-1:lemma:nc'
2.544758 Gtype b'-1:lemma:ptac'
2.544060 Temp b'lemma:43'
2.513790 Temp b'-1:lemma:\xcf\x8332'
2.505626 O b'+1:lemma:anti-fur'
2.485957 Gtype b'lemma:pk4854'
2.464374 O b'lemma:harbor'
2.459753 Med b'+1:lemma:2.0'
2.455274 Supp b'lemma:1m'
2.448776 O b'+1:lemma:arca-8myc'
2.437104 Gtype b'lemma:\xce\xb4ompr'
2.429234 O b'lemma:argr'
2.422222 O b'+1:lemma:43'
2.420882 O b'lemma::'
2.400301 Med b'lemma:broth'
2.400301 Med b'-1:lemma:L'
2.396784 Temp b'lemma:\xc2\xb0c'
2.387858 O b'lemma:csir'
2.374023 O b'-1:lemma:into'
2.372527 Med b'lemma:L'
2.372527 Med b'+1:lemma:broth'
2.369331 Temp b'+1:lemma:\xc2\xb0c'
2.364183 Supp b'+1:lemma:2'
2.361581 Supp b'lemma:fructose'
2.343986 O b'lemma:at'
2.343800 O b'+1:lemma:chip-seq'
2.341893 Air b'lemma:aerobically'
2.341609 Technique b'-1:lemma:chip-exo'
2.333411 Gtype b'lemma:deltaseqa'
2.333411 Gtype b'-1:lemma:old'
2.331338 Supp b'-1:lemma:sodium'
2.325489 Gtype b'-1:lemma:rpob'
2.319371 O b'lemma:purr'
2.316608 O b'-1:lemma:0.3-0.35'
2.315695 Anti b'+1:lemma:antibody'
2.314295 Air b'-1:postag::'
2.307494 Gtype b'+1:lemma:flagtag'
2.298263 O b'lemma:genotype/variation'
2.282408 O b'+1:lemma:coli'
2.270195 Supp b'+1:lemma:mm'
2.255021 O b'-1:lemma:phase'
2.251701 Gtype b'+1:lemma:_'
2.240808 Gtype b'lemma:ptac'
2.222334 O b'lemma:Lrp'
2.213769 Gtype b'-1:postag:VBG'
2.209438 Med b'lemma:media'
2.205047 Gtype b'lemma:wildtype'
2.197976 O b'+1:lemma:250'
2.195683 Med b'-1:lemma:fresh'
2.183406 O b'+1:lemma:acetate'
2.173410 Temp b'-1:lemma:37'
2.168454 O b'lemma:culture'
2.162203 Technique b'+1:lemma:chip-exo'
2.148760 Temp b'-1:lemma:sample'
2.146904 Supp b'+1:lemma:deficient'
2.134656 O b'lemma:agitation'
2.129546 O b'lemma:chip-fnr'
2.123198 Gtype b'-1:lemma:phtpg'
2.107558 Technique b'postag:NNP'
2.097464 Phase b'+1:lemma:for'
2.094964 O b'lemma:Fur'
2.087490 O b'-1:lemma:media'
2.083663 Med b'lemma:minimal'
2.083660 O b'+1:postag:RB'
Top negative:
-0.174984 Gtype b'+1:lemma:a'
-0.175111 O b'lemma:\xce\xb4ompr'
-0.176457 O b'-1:lemma:phosphate'
-0.178044 O b'-1:lemma:um'
-0.178044 O b'+1:lemma:paraquat'
-0.181336 O b'+1:lemma:0.3'
-0.181512 O b'-1:postag:VBP'
-0.185291 Temp b'postag:JJ'
-0.188594 Air b'-1:postag:VBN'
-0.190205 O b'lemma:1m'
-0.191849 OD b'+1:lemma:0.4'
-0.193985 O b'+1:lemma:-lcb-'
-0.208435 O b'-1:lemma:with'
-0.212946 O b'+1:lemma:pk4854'
-0.226805 O b'lemma:150'
-0.226805 O b'+1:lemma:mg/ml'
-0.230522 Supp b'-1:postag:VBN'
-0.232012 O b'+1:lemma:%'
-0.233366 Med b'+1:postag:NNS'
-0.235908 Supp b'lemma:-lrb-'
-0.237406 O b'+1:lemma:delta'
-0.237640 O b'+1:lemma:mg1655'
-0.242684 O b'+1:postag:FW'
-0.245254 O b'lemma:250'
-0.247303 Technique b'-1:lemma::'
-0.256478 Supp b'+1:postag::'
-0.264983 O b'+1:lemma:antibody'
-0.269912 Supp b'postag:-LRB-'
-0.274283 Air b'lemma:,'
-0.274283 Air b'postag:,'
-0.275591 O b'-1:lemma:affinity'
-0.277397 O b'+1:lemma:~'
-0.277798 O b'+1:lemma:dissolve'
-0.284360 O b'+1:lemma:1/100'
-0.285004 O b'+1:lemma:-rrb-'
-0.289757 O b'+1:lemma:min'
-0.291019 O b'+1:lemma:.'
-0.291019 O b'+1:postag:.'
-0.291324 O b'+1:lemma:ph'
-0.293067 O b'+1:lemma:contain'
-0.294747 Supp b'postag:CC'
-0.295296 O b'-1:lemma:sodium'
-0.305162 O b'lemma:glucose'
-0.306210 Gtype b'+1:lemma:-lrb-'
-0.306561 Air b'-1:postag:JJ'
-0.306990 O b'-1:lemma:-lrb-'
-0.308709 O b'lemma:medium'
-0.314476 Gtype b'-1:postag:CD'
-0.319661 O b'+1:lemma:95'
-0.323711 O b'lemma:n2'
-0.323841 Gtype b'-1:postag:DT'
-0.328426 Gtype b'postag::'
-0.329445 Supp b'-1:lemma:.'
-0.329445 Supp b'-1:postag:.'
-0.331488 Phase b'+1:postag:NN'
-0.344945 Gtype b'+1:lemma:\xe2\x88\x86'
-0.348101 Med b'+1:postag:NN'
-0.354035 O b'-1:postag:-LRB-'
-0.355550 O b'-1:lemma:purify'
-0.364834 O b'lemma:fecl2'
-0.365459 O b'-1:lemma:contain'
-0.366207 Phase b'-1:lemma:at'
-0.370185 O b'-1:lemma:g/l'
-0.371566 O b'lemma:dissolve'
-0.387878 O b'lemma:od600'
-0.391543 O b'+1:lemma:rep2'
-0.401392 Med b'-1:postag:NN'
-0.411862 OD b'+1:lemma:in'
-0.420984 O b'+1:lemma:m'
-0.423597 O b'-1:lemma:250'
-0.428355 Supp b'-1:lemma:dpd'
-0.431875 O b'+1:lemma:arginine'
-0.432941 Med b'lemma:-lrb-'
-0.448225 Supp b'+1:lemma:glucose'
-0.475541 O b'-1:lemma:cra'
-0.485416 O b'-1:lemma:~'
-0.488327 O b'-1:postag:IN'
-0.490690 O b'+1:lemma:c'
-0.501823 Gtype b'lemma:control'
-0.518147 O b'lemma:m'
-0.520898 O b'-1:lemma:chip-exo'
-0.520911 O b'-1:lemma:1m'
-0.530972 Air b'postag:CD'
-0.533615 Med b'+1:postag:IN'
-0.533950 O b'+1:lemma:Aerobic'
-0.535032 O b'+1:postag:IN'
-0.537990 Med b'postag:CD'
-0.552230 Supp b'-1:postag:NNP'
-0.554504 O b'-1:lemma:iptg'
-0.560648 Technique b'-1:postag::'
-0.569323 Temp b'-1:lemma:\xc2\xb0c'
-0.587750 O b'lemma:ph'
-0.589612 O b'lemma:c'
-0.599532 O b'+1:lemma:gadw'
-0.600196 pH b'postag:NN'
-0.604905 O b'+1:lemma:for'
-0.609268 Med b'postag:-LRB-'
-0.618702 Med b'-1:postag:IN'
-0.619269 O b'lemma:minimal'
-0.629693 O b'lemma:20'
-0.631990 O b'-1:lemma:from'
-0.642428 O b'lemma:fructose'
-0.643103 O b'+1:lemma:_'
-0.648865 O b'+1:lemma:supplement'
-0.654014 O b'lemma:m63'
-0.654637 Med b'-1:postag:CD'
-0.656946 O b'+1:postag:-RRB-'
-0.662949 O b'lemma:mid-log'
-0.667280 Gtype b'lemma:delta'
-0.671297 O b'lemma:nh4cl'
-0.673779 Gtype b'-1:lemma:mg1655'
-0.676356 Supp b'-1:lemma:-lrb-'
-0.676911 O b'+1:lemma:gade'
-0.680909 Supp b'+1:postag:VBN'
-0.700244 O b'+1:postag:VBG'
-0.713869 Supp b'+1:lemma:dpd'
-0.718506 O b'lemma:aerobically'
-0.729253 Supp b'-1:postag:-LRB-'
-0.747512 O b'lemma:anaerobic'
-0.750112 O b'lemma:of'
-0.759612 O b'lemma:purify'
-0.811688 O b'-1:lemma:mm'
-0.815880 O b'postag:RB'
-0.833362 O b'-1:lemma:m'
-0.839191 Temp b'postag:NN'
-0.842880 O b'lemma:oxyr-8myc'
-0.843811 Phase b'postag:JJ'
-0.846319 Supp b'+1:lemma:rifampicin'
-0.855050 O b'-1:lemma:37'
-0.894989 O b'lemma:37'
-0.896970 O b'lemma:\xe2\x88\x86'
-0.897433 O b'-1:lemma:dfnr'
-0.903317 O b'-1:lemma:delta'
-0.927725 O b'-1:lemma:n2'
-0.928830 Anti b'+1:lemma:anti-fur'
-0.933781 O b'lemma:soxs-8myc'
-0.969007 O b'+1:lemma:until'
-1.006131 O b'-1:lemma:final'
-1.030646 O b'+1:lemma:at'
-1.065596 Air b'-1:lemma:or'
-1.067927 Supp b'lemma:10'
-1.089953 O b'-1:lemma:dissolve'
-1.089953 O b'+1:lemma:methanol'
-1.101429 Supp b'postag::'
-1.103920 O b'lemma:anaerobically'
-1.138517 O b'lemma:k-12'
-1.144078 O b'lemma:nitrate'
-1.155284 O b'+1:lemma:g/l'
-1.191494 O b'+1:lemma:1m'
-1.196211 O b'-1:lemma:ph'
-1.201813 O b'lemma:methanol'
-1.231550 O b'-1:lemma:1'
-1.253084 O b'lemma:30'
-1.253161 OD b'+1:postag:NN'
-1.258208 O b'-1:lemma:30'
-1.265784 O b'lemma:2h'
-1.265784 O b'-1:lemma:additional'
-1.271069 Supp b'postag:JJ'
-1.272675 Supp b'+1:lemma:nacl'
-1.283136 Gtype b'postag:VBG'
-1.288901 O b'-1:lemma:co2'
-1.309636 Supp b'+1:lemma:acetate'
-1.356245 O b'-1:lemma:\xe2\x88\x86'
-1.424461 O b'lemma:wt'
-1.425479 O b'lemma:media'
-1.438386 O b'-1:lemma:rpob'
-1.441853 Supp b'+1:lemma:fructose'
-1.450682 O b'-1:lemma:until'
-1.496752 O b'-1:lemma:nsrr'
-1.503723 O b'-1:lemma:sample'
-1.537683 Air b'postag:NN'
-1.565620 O b'-1:postag::'
-1.606129 O b'lemma:\xce\xb4fur'
-1.611875 O b'lemma:nitrogen'
-1.617485 O b'+1:lemma:mm'
-1.634468 O b'lemma:aerobic'
-1.689765 O b'-1:lemma:2'
-1.720709 O b'+1:lemma:2.0'
-1.752075 O b'postag:VBP'
-1.758371 Phase b'-1:postag:JJ'
-1.794596 Air b'+1:postag:JJ'
-1.810302 Anti b'postag:NNP'
-1.816064 O b'+1:lemma:in'
-1.816300 Supp b'+1:lemma:-lrb-'
-1.825172 O b'-1:lemma:ml'
-1.873304 Supp b'+1:postag:-LRB-'
-1.964431 O b'lemma:0.3'
-2.003409 Supp b'+1:lemma:,'
-2.003409 Supp b'+1:postag:,'
-2.036747 O b'+1:lemma:+'
-2.046421 Temp b'+1:postag:IN'
-2.066376 O b'-1:lemma:fresh'
-2.082420 O b'+1:lemma:1'
-2.240298 O b'-1:postag:VBG'
-2.287095 O b'-1:lemma:IP'
-2.453890 O b'-1:lemma:vol'
-2.551419 O b'lemma:rifampicin'
-2.585186 O b'+1:lemma:2'
-3.289500 O b'-1:lemma:_'
-3.739594 O b'-1:lemma::'
********** TRAINING AND TESTING REPORT **********
Training file: training-data-set-70.txt
best params:{'c1': 0.0669479769366607, 'c2': 0.03552427653715395}
best CV score:0.8806802697362962
model size: 0.10M
Flat F1: 0.8120536430169567
precision recall f1-score support
OD 1.000 0.818 0.900 22
pH 1.000 1.000 1.000 8
Technique 1.000 0.913 0.955 23
Med 1.000 0.962 0.981 53
Temp 1.000 0.724 0.840 29
Vess 1.000 1.000 1.000 1
Agit 0.000 0.000 0.000 0
Phase 0.882 1.000 0.938 15
Air 0.543 0.362 0.435 69
Anti 1.000 1.000 1.000 11
Strain 0.000 0.000 0.000 1
Gtype 0.897 0.824 0.859 85
Substrain 0.000 0.000 0.000 0
Supp 0.845 0.813 0.829 134
Gversion 0.000 0.000 0.000 0
avg / total 0.859 0.776 0.812 451
Top likely transitions:
Agit -> Agit 5.730270
Temp -> Temp 5.261959
Supp -> Supp 5.111767
OD -> OD 4.977486
Med -> Med 4.943896
Anti -> Anti 4.412265
Phase -> Phase 4.353663
O -> O 4.349582
Gtype -> Gtype 4.162337
Air -> Air 4.071838
Gversion -> Gversion 3.889029
Technique -> Technique 3.450549
pH -> pH 2.429439
Air -> O 1.278594
Substrain -> Gtype 1.152727
O -> Technique 1.138561
O -> Supp 1.024054
O -> Gtype 0.772226
Supp -> O 0.646228
Gtype -> Supp 0.519928
O -> Temp 0.504171
Temp -> O 0.481115
Strain -> O 0.334947
Technique -> Air 0.324028
O -> Phase 0.301154
pH -> O 0.231769
Med -> O 0.204250
Gtype -> Air 0.166981
Phase -> O 0.107485
OD -> O 0.025617
O -> Anti 0.015100
O -> pH 0.001727
Agit -> O 0.000970
Med -> Air -0.000105
Gtype -> Phase -0.001446
Technique -> Anti -0.022195
Temp -> Med -0.022384
Anti -> Air -0.027064
Anti -> pH -0.032063
Anti -> Med -0.071242
Gtype -> Temp -0.074067
Supp -> pH -0.076320
Technique -> Gversion -0.076908
Supp -> Air -0.088988
Gversion -> Supp -0.092556
Phase -> Gtype -0.093077
Air -> Agit -0.104036
Gtype -> OD -0.125259
O -> Med -0.171632
Anti -> Supp -0.191856
Top unlikely transitions:
Agit -> O 0.000970
Med -> Air -0.000105
Gtype -> Phase -0.001446
Technique -> Anti -0.022195
Temp -> Med -0.022384
Anti -> Air -0.027064
Anti -> pH -0.032063
Anti -> Med -0.071242
Gtype -> Temp -0.074067
Supp -> pH -0.076320
Technique -> Gversion -0.076908
Supp -> Air -0.088988
Gversion -> Supp -0.092556
Phase -> Gtype -0.093077
Air -> Agit -0.104036
Gtype -> OD -0.125259
O -> Med -0.171632
Anti -> Supp -0.191856
OD -> Supp -0.193758
Anti -> Gtype -0.221899
Technique -> Supp -0.236281
Supp -> Anti -0.250851
Supp -> Gversion -0.251041
Air -> Med -0.255356
Anti -> Temp -0.270943
Agit -> Air -0.311453
Gversion -> O -0.315475
Phase -> Supp -0.321570
OD -> Technique -0.323122
Supp -> Gtype -0.353133
Phase -> OD -0.387122
Gtype -> Gversion -0.394249
Technique -> Gtype -0.412211
Air -> Supp -0.516212
Phase -> Technique -0.516308
Gtype -> Technique -0.539638
Technique -> pH -0.542821
Gtype -> O -0.557687
Air -> Phase -0.577013
Supp -> Technique -0.675489
OD -> Air -0.707177
Technique -> O -0.707975
Gtype -> Anti -0.709674
Technique -> OD -0.723625
Gtype -> Med -0.763138
O -> Air -0.792010
Air -> Temp -0.840769
Substrain -> O -1.160694
Supp -> Med -1.290121
Med -> Supp -1.935474
Top positive:
5.197607 O b'lemma:2'
4.343474 O b'word[:2]:re'
4.324248 O b'-1:lemma:tag'
4.211985 O b'lemma:3'
4.205982 Air b'word[:2]:Ae'
4.179659 O b'postag:IN'
3.998448 O b'lemma:_'
3.998448 O b'word[:1]:_'
3.980939 Gtype b'word[:1]:\xce\x94'
3.962691 O b'lemma:1'
3.896975 Air b'lemma:anaerobic'
3.606216 O b'lemma:a'
3.591195 Technique b'word[:2]:Ch'
3.572533 Air b'word[:2]:An'
3.429263 Supp b'+1:lemma:\xc2\xb5m'
3.284877 Supp b'-1:lemma:Cra'
3.217008 O b'postag::'
3.211581 Phase b'lemma:mid-log'
3.140992 O b'lemma:.'
3.140992 O b'postag:.'
3.054409 Gtype b'-1:lemma:\xe2\x88\x86'
3.047239 Gtype b'lemma:arca8myc'
3.031972 Supp b'-1:lemma:with'
3.031526 Supp b'lemma:Iron'
3.031526 Supp b'word[:2]:Ir'
2.991347 O b'lemma:with'
2.982445 O b'lemma:-'
2.956803 O b'postag:CC'
2.926083 Supp b'-1:lemma:vol'
2.918832 O b'+1:lemma:pq'
2.903495 Supp b'word[:1]:I'
2.883995 O b'-1:lemma:glucose'
2.867408 O b'-1:lemma:lb'
2.864405 O b'word[:1]:S'
2.852569 Gtype b'lemma:wt'
2.849941 Air b'postag:RB'
2.776348 O b'-1:lemma:0.3'
2.602950 Supp b'lemma:arginine'
2.580441 O b'word[:2]:ge'
2.565736 Gtype b'word[:2]:Fl'
2.549904 O b'postag:VBN'
2.541503 Med b'word[:1]:M'
2.498908 OD b'word[:1]:O'
2.495287 O b'word[:2]:Cr'
2.484677 Phase b'lemma:stationary'
2.483306 Strain b'+1:lemma:substr'
2.457405 pH b'word[:2]:pH'
2.456365 Supp b'lemma:pq'
2.456365 Supp b'word[:2]:PQ'
2.439095 O b'lemma:delta'
2.396366 Technique b'word[:2]:RN'
2.395719 Supp b'word[:2]:ni'
2.386055 O b'-1:lemma:Aerobic'
2.383149 Supp b'+1:lemma:1'
2.337551 Gtype b'word[:1]:d'
2.326720 Supp b'lemma:acetate'
2.325394 Supp b'-1:lemma:+'
2.316784 Med b'lemma:MOPS'
2.316784 Med b'word[:2]:MO'
2.281531 Temp b'+1:lemma:in'
2.271226 Air b'word[:1]:A'
2.270613 Substrain b'word[:2]:MG'
2.248219 O b'word[:1]:G'
2.216505 Supp b'lemma:nacl'
2.208674 O b'word[:1]:B'
2.199231 Med b'-1:lemma:ml'
2.195586 O b'word[:2]:Rp'
2.168321 O b'-1:lemma:stpa'
2.152429 Supp b'-1:lemma:sodium'
2.145539 O b'lemma:argr'
2.134901 Substrain b'word[:1]:M'
2.133413 Air b'word[:2]:an'
2.120670 Gtype b'lemma:type'
2.120670 Gtype b'word[:2]:ty'
2.118126 Med b'word[:1]:L'
2.105700 O b'lemma:Nac'
2.100072 O b'lemma:purr'
2.087072 Gtype b'word[:1]:W'
2.068635 O b'lemma:ompr'
2.068635 O b'word[:2]:Om'
2.063173 Supp b'+1:lemma:mm'
2.060411 O b'+1:lemma:od600'
2.057816 O b'word[:2]:ch'
2.051673 Gtype b'word[:2]:Ar'
2.022062 Gtype b'-1:lemma:_'
2.010318 Supp b'lemma:sodium'
2.008903 Supp b'word[:2]:ac'
2.006175 Technique b'word[:1]:R'
2.003588 Gtype b'lemma:flag-tag'
2.003588 Gtype b'-1:lemma:c-terminal'
2.001858 Anti b'+1:lemma:antibody'
2.001849 Gtype b'hGreek'
1.999056 Phase b'word[:2]:ex'
1.996110 O b'lemma:b'
1.988243 Gtype b'lemma:nsrr'
1.988243 Gtype b'word[:2]:Ns'
1.982191 Supp b'+1:lemma:phosphate'
1.976855 Temp b'-1:lemma:\xcf\x8332'
1.966179 Technique b'word[:1]:C'
1.938678 Supp b'word[:2]:Fe'
1.938022 Anti b'word[:2]:an'
1.932248 Supp b'-1:postag:CC'
1.911063 Phase b'word[:1]:e'
1.907821 Gversion b'lemma:asm584v2'
1.907821 Gversion b'word[:2]:AS'
1.905625 O b'postag:DT'
1.897238 O b'-1:lemma:into'
1.896923 O b'-1:lemma:0.3-0.35'
1.892887 Gversion b'-1:lemma:nc'
1.874980 Supp b'+1:lemma:2'
1.874512 Air b'+1:postag:IN'
1.873185 O b'lemma:Custom'
1.873101 O b'word[:2]:Cu'
1.872862 O b'word[:1]:c'
1.868647 O b'+1:lemma:or'
1.867229 Gtype b'+1:lemma:type'
1.864929 Med b'+1:lemma:0.4'
1.846915 O b'lemma:A'
1.836827 O b'-1:lemma:anaerobic'
1.829081 Supp b'lemma:rifampicin'
1.821988 Supp b'word[:2]:ri'
1.820197 Air b'-1:lemma:ChIP-Seq'
1.819408 pH b'+1:postag:CD'
1.813057 Gversion b'lemma:chip-seq'
1.808900 Phase b'-1:lemma:mid-log'
1.800361 Supp b'lemma:Leu'
1.800361 Supp b'word[:2]:Le'
1.799360 Supp b'word[:2]:gl'
1.793727 Gtype b'word[:1]:w'
1.791679 O b'word[:1]:E'
1.789827 Air b'-1:lemma:-'
1.779400 Supp b'+1:lemma:min'
1.777560 Gtype b'word[:2]:cr'
1.777381 Technique b'lemma:ChIP-exo'
1.773352 O b'word[:1]:R'
1.772804 O b'+1:lemma:250'
1.772220 Gversion b'word[:2]:00'
1.767331 Supp b'-1:lemma:final'
1.765950 O b'-1:lemma:type'
1.751683 O b'postag:VBG'
1.747918 O b'word[:2]:ha'
1.733991 Gtype b'word[:2]:PK'
1.733248 O b'+1:lemma:mid-log'
1.721176 O b'word[:2]:Pu'
1.718066 Technique b'lemma:chipseq'
1.715045 O b'+1:postag:RB'
1.714257 Supp b'lemma:Fe'
1.712494 O b'+1:lemma:sparging'
1.710768 Gversion b'lemma:nc'
1.710768 Gversion b'word[:2]:NC'
1.706907 O b'-1:lemma:phase'
1.695825 Air b'-1:lemma:co2'
1.693473 Gtype b'word[:1]:F'
1.693330 Gtype b'word[:1]:t'
1.689604 O b'lemma:\xcf\x8332'
1.689604 O b'word[:1]:\xcf\x83'
1.689604 O b'word[:2]:\xcf\x833'
1.687943 Gtype b'+1:lemma:flagtag'
1.687830 Strain b'-1:lemma:.'
1.687830 Strain b'-1:postag:.'
1.680651 Gtype b'+1:lemma:_'
1.676295 Gtype b'-1:postag:VBG'
1.672589 Gtype b'symb'
1.668599 Gtype b'word[:2]:WT'
1.667990 Med b'-1:lemma:fresh'
1.664383 Temp b'-1:lemma:43'
1.654146 O b'lemma:rpob'
1.652234 Strain b'lemma:k-12'
1.652234 Strain b'word[:2]:K-'
1.648550 Supp b'word[:2]:30'
1.648025 Med b'lemma:broth'
1.648025 Med b'-1:lemma:L'
1.648025 Med b'word[:2]:br'
1.646791 Supp b'lemma:fructose'
1.643771 Anti b'-1:lemma::'
1.634632 Med b'lemma:L'
1.634632 Med b'+1:lemma:broth'
1.627352 O b'word[:2]:In'
1.622224 Air b'lemma:Aerobic'
1.621209 Strain b'word[:1]:K'
1.618073 Phase b'-1:lemma:until'
1.612647 Air b'word[:1]:a'
1.611079 O b'word[:1]:C'
1.610394 O b'+1:lemma:arca-8myc'
1.595786 Supp b'-1:lemma:contain'
1.594864 Gtype b'lemma:\xe2\x88\x86'
1.594864 Gtype b'word[:1]:\xe2\x88\x86'
1.583723 Air b'lemma:aerobic'
1.581020 O b'-1:lemma:wt'
1.580311 O b'word[:1]:a'
1.577732 Temp b'-1:lemma:sample'
1.576145 Technique b'lemma:rnaseq'
1.571124 O b'+1:postag:NNP'
1.560522 O b'-1:lemma:media'
1.558793 O b'+1:lemma:chip-seq'
1.555710 Supp b'lemma:dpd'
1.555710 Supp b'word[:2]:DP'
1.548557 O b'lemma:at'
1.545932 Phase b'word[:2]:st'
1.535531 Gtype b'word[:2]:ga'
Top negative:
-0.222385 O b'-1:lemma:n2'
-0.223068 Med b'-1:postag:NN'
-0.229421 O b'lemma:nitrogen'
-0.229586 Air b'+1:lemma:-lrb-'
-0.235112 Supp b'+1:postag::'
-0.236341 O b'-1:lemma:of'
-0.239334 pH b'postag:NN'
-0.246473 O b'lemma:of'
-0.246473 O b'word[:2]:of'
-0.248678 Gtype b'+1:postag:CD'
-0.250091 O b'lemma:k-12'
-0.250091 O b'word[:2]:K-'
-0.250281 O b'-1:postag:IN'
-0.250791 OD b'hUpper'
-0.250791 OD b'hLower'
-0.252179 O b'-1:lemma:dfnr'
-0.254406 O b'+1:lemma:sample'
-0.255303 Gtype b'word[:1]:g'
-0.256791 Air b'-1:postag:CC'
-0.257558 Supp b'postag:CC'
-0.261584 O b'-1:lemma:sodium'
-0.263082 O b'+1:lemma:m'
-0.263509 Air b'+1:postag:NNS'
-0.266301 O b'-1:lemma:phosphate'
-0.266984 O b'lemma:minimal'
-0.274317 O b'lemma:glucose'
-0.277606 O b'-1:lemma:with'
-0.282203 O b'word[:2]:0.'
-0.288431 O b'lemma:150'
-0.288431 O b'+1:lemma:mg/ml'
-0.288431 O b'word[:2]:15'
-0.289147 Gtype b'word[:1]:N'
-0.289611 Gtype b'word[:1]:h'
-0.292168 OD b'+1:lemma:0.4'
-0.293694 Anti b'lemma:antibody'
-0.296743 Air b'-1:postag:VBN'
-0.305504 O b'lemma:20'
-0.309832 O b'word[:2]:gl'
-0.313652 O b'lemma:\xe2\x88\x86'
-0.313652 O b'word[:1]:\xe2\x88\x86'
-0.315980 Gtype b'-1:lemma:-lrb-'
-0.318705 OD b'symb'
-0.320576 O b'lemma:1m'
-0.320576 O b'word[:2]:1M'
-0.323557 O b'lemma:oxyr-8myc'
-0.333499 O b'lemma:control'
-0.336999 O b'+1:lemma:.'
-0.336999 O b'+1:postag:.'
-0.338184 Supp b'word[:2]:an'
-0.339759 Supp b'-1:lemma:%'
-0.341972 O b'lemma:sodium'
-0.350224 O b'+1:lemma:-rrb-'
-0.357360 Gtype b'+1:lemma:-lrb-'
-0.359089 O b'-1:postag:-LRB-'
-0.359269 Supp b'+1:lemma:rifampicin'
-0.361354 Phase b'+1:postag:NN'
-0.369958 O b'-1:lemma:g/l'
-0.370938 O b'+1:lemma:ph'
-0.380417 O b'-1:lemma:control'
-0.393185 O b'+1:lemma:1/100'
-0.401365 O b'+1:lemma:arginine'
-0.402963 Gtype b'postag:VBG'
-0.406830 Technique b'-1:lemma::'
-0.407359 O b'word[:1]:d'
-0.408895 O b'+1:postag:-RRB-'
-0.410325 O b'word[:2]:cr'
-0.414862 O b'lemma:media'
-0.417218 Supp b'lemma:1'
-0.421741 Air b'+1:postag:JJ'
-0.422308 Air b'symb'
-0.424867 O b'lemma:purify'
-0.426894 O b'+1:lemma:phosphate'
-0.427754 Med b'-1:postag:CD'
-0.432980 O b'-1:lemma:mm'
-0.439910 Gtype b'word[:1]:A'
-0.452411 Supp b'-1:lemma:dpd'
-0.458153 O b'word[:2]:OD'
-0.458602 Supp b'+1:lemma:nacl'
-0.460350 O b'-1:lemma:delta'
-0.460942 Gtype b'postag::'
-0.461016 O b'+1:postag:VBG'
-0.466602 O b'+1:lemma:supplement'
-0.469862 Temp b'postag:NN'
-0.479736 O b'word[:2]:ae'
-0.482738 O b'-1:lemma:250'
-0.495883 O b'-1:lemma:37'
-0.497098 O b'-1:lemma:1m'
-0.499515 Supp b'+1:lemma:fructose'
-0.499529 O b'-1:lemma:iptg'
-0.509960 Anti b'+1:lemma:anti-fur'
-0.519769 O b'lemma:37'
-0.519769 O b'word[:2]:37'
-0.522094 O b'lemma:fructose'
-0.522953 O b'lemma:aerobically'
-0.529231 O b'+1:lemma:for'
-0.535592 Agit b'hUpper'
-0.535592 Agit b'hLower'
-0.542571 Supp b'-1:lemma:-lrb-'
-0.543730 Temp b'-1:lemma:\xc2\xb0c'
-0.544383 O b'word[:1]:0'
-0.549506 Technique b'-1:postag::'
-0.551118 Supp b'+1:lemma:acetate'
-0.566147 O b'-1:lemma:cra'
-0.569703 O b'word[:1]:4'
-0.572560 O b'word[:2]:ce'
-0.574858 Supp b'postag:CD'
-0.595300 O b'+1:postag:IN'
-0.599638 Supp b'-1:postag:NNP'
-0.605965 O b'word[:1]:M'
-0.612343 Agit b'symb'
-0.615100 O b'+1:lemma:_'
-0.618065 O b'-1:lemma:30'
-0.631349 Supp b'-1:postag:-LRB-'
-0.639788 O b'-1:lemma:\xe2\x88\x86'
-0.646356 O b'lemma:mid-log'
-0.668003 O b'lemma:2h'
-0.668003 O b'-1:lemma:additional'
-0.668003 O b'word[:2]:2h'
-0.672963 Temp b'hGreek'
-0.687801 Gtype b'+1:lemma:-rrb-'
-0.688426 O b'lemma:aerobic'
-0.690108 Med b'+1:postag:IN'
-0.690593 Gtype b'word[:1]:-'
-0.696545 O b'+1:lemma:antibody'
-0.697177 Med b'symb'
-0.699587 O b'lemma:anaerobically'
-0.699918 O b'+1:lemma:1m'
-0.707099 O b'word[:1]:F'
-0.708674 O b'word[:2]:30'
-0.745965 O b'word[:1]:K'
-0.785524 Supp b'+1:postag:VBN'
-0.788643 O b'lemma:soxs-8myc'
-0.799607 O b'-1:lemma:dissolve'
-0.799607 O b'+1:lemma:methanol'
-0.800538 O b'-1:lemma:IP'
-0.808177 O b'word[:2]:mg'
-0.823560 O b'+1:lemma:at'
-0.823819 Med b'-1:postag:IN'
-0.829683 Gtype b'lemma:delta'
-0.834314 O b'+1:lemma:until'
-0.834554 Gtype b'-1:lemma:mg1655'
-0.837477 Phase b'hUpper'
-0.837477 Phase b'hLower'
-0.875134 O b'lemma:wt'
-0.892468 O b'+1:lemma:rep2'
-0.900925 O b'lemma:c'
-0.911577 Supp b'symb'
-0.935276 O b'lemma:methanol'
-0.939294 O b'word[:2]:me'
-0.951862 Gtype b'word[:1]:C'
-0.957544 O b'lemma:0.3'
-0.961774 O b'-1:lemma:ph'
-0.982702 O b'word[:2]:ri'
-0.994311 O b'word[:2]:pH'
-1.000643 Air b'-1:postag:JJ'
-1.002379 Anti b'postag:NNP'
-1.008594 O b'+1:lemma:+'
-1.024921 O b'+1:lemma:mm'
-1.026429 Air b'-1:lemma:or'
-1.033879 O b'postag:RB'
-1.050623 O b'+1:lemma:g/l'
-1.061501 OD b'+1:postag:NN'
-1.074979 O b'-1:lemma:rpob'
-1.085560 O b'-1:lemma:1'
-1.090454 O b'-1:lemma:final'
-1.092753 Technique b'postag:NN'
-1.092846 O b'lemma:rifampicin'
-1.102416 O b'-1:lemma:nsrr'
-1.118910 Supp b'word[:1]:C'
-1.163411 O b'word[:2]:ni'
-1.202046 O b'postag:VBP'
-1.209582 O b'-1:postag::'
-1.218263 O b'-1:lemma:until'
-1.238993 Air b'postag:NN'
-1.263449 Supp b'hGreek'
-1.265029 O b'word[:1]:N'
-1.315756 O b'+1:lemma:2.0'
-1.323803 O b'word[:2]:fl'
-1.379566 O b'-1:lemma:ml'
-1.421957 Phase b'postag:JJ'
-1.437134 Supp b'postag:JJ'
-1.444357 O b'-1:lemma:sample'
-1.460302 O b'-1:lemma:co2'
-1.585483 Phase b'-1:postag:JJ'
-1.638491 O b'-1:postag:VBG'
-1.655599 O b'-1:lemma:fresh'
-1.660989 O b'+1:lemma:1'
-1.668500 Supp b'+1:lemma:-lrb-'
-1.694618 Supp b'+1:postag:-LRB-'
-1.706414 O b'-1:lemma:2'
-1.722864 O b'+1:lemma:in'
-1.841815 Temp b'+1:postag:IN'
-1.876180 O b'word[:1]:P'
-1.904317 Supp b'+1:lemma:,'
-1.904317 Supp b'+1:postag:,'
-2.088295 O b'word[:2]:Ch'
-2.262332 O b'+1:lemma:2'
-2.592460 O b'-1:lemma:vol'
-3.316905 O b'-1:lemma:_'
-4.428349 O b'-1:lemma::'
********** TRAINING AND TESTING REPORT **********
Training file: training-data-set-70.txt
best params:{'c1': 0.15406215902868822, 'c2': 0.04226744278958694}
best CV score:0.8596370019235678
model size: 0.12M
Flat F1: 0.7628595463981331
precision recall f1-score support
OD 1.000 0.818 0.900 22
pH 1.000 1.000 1.000 8
Technique 0.955 0.913 0.933 23
Med 1.000 0.925 0.961 53
Temp 1.000 0.690 0.816 29
Vess 1.000 1.000 1.000 1
Agit 0.000 0.000 0.000 0
Phase 0.875 0.933 0.903 15
Air 0.556 0.362 0.439 69
Anti 0.579 1.000 0.733 11
Strain 0.000 0.000 0.000 1
Gtype 0.877 0.753 0.810 85
Substrain 0.000 0.000 0.000 0
Supp 0.675 0.806 0.735 134
Gversion 0.000 0.000 0.000 0
avg / total 0.793 0.752 0.763 451
Top likely transitions:
Temp -> Temp 5.110459
Agit -> Agit 5.017935
Anti -> Anti 4.938650
OD -> OD 4.825556
Supp -> Supp 4.712858
Gtype -> Gtype 4.678424
Med -> Med 4.638385
Gversion -> Gversion 4.224640
Air -> Air 4.223412
O -> O 3.873161
Phase -> Phase 3.806018
Technique -> Technique 3.527725
pH -> pH 2.599944
Gtype -> Supp 1.497521
Substrain -> Gtype 1.352716
O -> Gtype 1.238587
O -> Supp 1.162728
Air -> O 1.113709
O -> Technique 1.086494
Gtype -> Air 0.890610
Technique -> Air 0.790851
Gtype -> pH 0.476347
Supp -> O 0.342000
O -> Temp 0.264657
Med -> O 0.256803
Temp -> O 0.225939
O -> Anti 0.129094
O -> OD 0.005737
O -> Phase 0.003554
Supp -> Air -0.000004
Anti -> O -0.000506
O -> Agit -0.012375
Technique -> OD -0.029963
Phase -> O -0.035227
Air -> Temp -0.053461
Supp -> Gtype -0.074666
O -> Med -0.080001
Air -> Phase -0.085473
Phase -> Supp -0.126042
Agit -> O -0.135568
Technique -> O -0.155818
Gtype -> Med -0.295463
Phase -> OD -0.308398
Gtype -> Anti -0.318100
Technique -> pH -0.318842
OD -> Air -0.391856
Gtype -> O -0.411784
O -> Air -0.438824
Supp -> Med -0.713976
Technique -> Gtype -0.921584
Top unlikely transitions:
Anti -> Anti 4.938650
OD -> OD 4.825556
Supp -> Supp 4.712858
Gtype -> Gtype 4.678424
Med -> Med 4.638385
Gversion -> Gversion 4.224640
Air -> Air 4.223412
O -> O 3.873161
Phase -> Phase 3.806018
Technique -> Technique 3.527725
pH -> pH 2.599944
Gtype -> Supp 1.497521
Substrain -> Gtype 1.352716
O -> Gtype 1.238587
O -> Supp 1.162728
Air -> O 1.113709
O -> Technique 1.086494
Gtype -> Air 0.890610
Technique -> Air 0.790851
Gtype -> pH 0.476347
Supp -> O 0.342000
O -> Temp 0.264657
Med -> O 0.256803
Temp -> O 0.225939
O -> Anti 0.129094
O -> OD 0.005737
O -> Phase 0.003554
Supp -> Air -0.000004
Anti -> O -0.000506
O -> Agit -0.012375
Technique -> OD -0.029963
Phase -> O -0.035227
Air -> Temp -0.053461
Supp -> Gtype -0.074666
O -> Med -0.080001
Air -> Phase -0.085473
Phase -> Supp -0.126042
Agit -> O -0.135568
Technique -> O -0.155818
Gtype -> Med -0.295463
Phase -> OD -0.308398
Gtype -> Anti -0.318100
Technique -> pH -0.318842
OD -> Air -0.391856
Gtype -> O -0.411784
O -> Air -0.438824
Supp -> Med -0.713976
Technique -> Gtype -0.921584
Substrain -> O -1.113692
Med -> Supp -1.471991
Top positive:
4.749372 Air b'word:Aerobic'
4.524583 O b'lemma:_'
4.524583 O b'word:_'
4.098279 Air b'lemma:anaerobic'
3.877804 O b'postag:IN'
3.595104 O b'word:Cra'
3.530479 O b'postag::'
3.410481 Technique b'word:ChIP-Seq'
3.231475 Air b'postag:RB'
3.216656 Gtype b'lemma:wt'
3.136173 Gtype b'lemma:wild-type'
3.108997 Technique b'word:ChIP-exo'
3.044194 O b'-1:lemma:ChIP-exo'
2.991141 Air b'word:Anaerobic'
2.905621 Supp b'lemma:nh4cl'
2.900437 Technique b'word:ChIPSeq'
2.896382 Technique b'lemma:ChIP-exo'
2.892866 Gtype b'word:WT'
2.840495 Supp b'lemma:Iron'
2.840495 Supp b'word:Iron'
2.840495 Supp b'+1:word:Deficient'
2.808087 O b'lemma:2'
2.808087 O b'word:2'
2.787965 Phase b'lemma:mid-log'
2.787965 Phase b'word:mid-log'
2.749236 Supp b'lemma:pq'
2.749236 Supp b'word:PQ'
2.657709 Technique b'lemma:rna-seq'
2.573610 O b'lemma:rpob'
2.573610 O b'word:RpoB'
2.535672 Supp b'-1:word:Cra'
2.480323 O b'postag:CC'
2.478905 O b'lemma:1'
2.478905 O b'word:1'
2.437366 Gversion b'lemma:asm584v2'
2.437366 Gversion b'word:ASM584v2'
2.416156 Strain b'+1:lemma:substr'
2.416156 Strain b'+1:word:substr'
2.414892 O b'lemma:-'
2.414892 O b'word:-'
2.342731 O b'lemma:3'
2.342731 O b'word:3'
2.332854 O b'lemma:.'
2.332854 O b'postag:.'
2.332854 O b'word:.'
2.332241 Gtype b'lemma:type'
2.332241 Gtype b'word:type'
2.300103 Gtype b'lemma:\xce\xb4cra'
2.297195 Gtype b'word:\xce\x94cra'
2.292746 Med b'lemma:MOPS'
2.292746 Med b'word:MOPS'
2.285733 Technique b'lemma:chipseq'
2.278904 Supp b'+1:lemma:\xc2\xb5m'
2.278904 Supp b'+1:word:\xc2\xb5M'
2.247697 O b'lemma:a'
2.221104 O b'lemma:chip'
2.208674 O b'-1:lemma:tag'
2.169172 Gtype b'+1:lemma:type'
2.169172 Gtype b'+1:word:type'
2.090683 O b'lemma:Custom'
2.090683 O b'word:Custom'
2.057527 Phase b'lemma:exponential'
2.057527 Phase b'word:exponential'
2.057527 Phase b'lemma:stationary'
2.057527 Phase b'word:stationary'
2.052897 Supp b'lemma:glucose'
2.052897 Supp b'word:glucose'
2.046732 O b'lemma:b'
2.046732 O b'word:B'
2.046220 pH b'+1:postag:CD'
2.039388 Air b'word:anaerobic'
2.024557 O b'postag:VBN'
1.999765 O b'-1:word:tag'
1.998647 Gtype b'-1:postag:VBG'
1.985487 Supp b'lemma:nacl'
1.985487 Supp b'word:NaCl'
1.972682 Substrain b'lemma:mg1655'
1.972682 Substrain b'word:MG1655'
1.936337 Supp b'lemma:arginine'
1.923159 Gtype b'lemma:flag-tag'
1.923159 Gtype b'-1:lemma:c-terminal'
1.923159 Gtype b'word:Flag-tag'
1.923159 Gtype b'-1:word:C-terminal'
1.916724 Gversion b'lemma:nc'
1.916724 Gversion b'word:NC'
1.913111 O b'+1:word:were'
1.902708 Agit b'+1:lemma:rpm'
1.902708 Agit b'+1:word:rpm'
1.898835 Strain b'lemma:k-12'
1.898835 Strain b'word:K-12'
1.890731 Technique b'lemma:rnaseq'
1.890731 Technique b'word:RNASeq'
1.878930 Supp b'lemma:nitrate'
1.878930 Supp b'word:nitrate'
1.876600 Gtype b'lemma:delta-fnr'
1.876600 Gtype b'word:delta-fnr'
1.871969 O b'+1:lemma:pq'
1.871969 O b'+1:word:PQ'
1.852036 O b'+1:postag:RB'
1.844216 Supp b'lemma:acetate'
1.844216 Supp b'word:acetate'
1.808898 O b'-1:word:Aerobic'
1.797382 Technique b'-1:lemma:chip-exo'
1.794780 O b'word:A'
1.780521 Supp b'lemma:rifampicin'
1.780521 Supp b'word:rifampicin'
1.778273 Gtype b'-1:lemma:\xe2\x88\x86'
1.778273 Gtype b'-1:word:\xe2\x88\x86'
1.771797 Supp b'-1:lemma:with'
1.771797 Supp b'-1:word:with'
1.768638 O b'lemma:ompr'
1.768638 O b'word:OmpR'
1.733628 O b'+1:postag:NNP'
1.710033 Gtype b'lemma:\xe2\x88\x86'
1.710033 Gtype b'word:\xe2\x88\x86'
1.709664 Gtype b'lemma:arca8myc'
1.709664 Gtype b'word:ArcA8myc'
1.705119 Supp b'-1:lemma:Cra'
1.699139 O b'+1:word:ChIP-Seq'
1.687699 O b'lemma:rep1'
1.687699 O b'word:rep1'
1.687382 Gtype b'postag:-LRB-'
1.664564 O b'isLower'
1.628461 Vess b'lemma:flask'
1.628461 Vess b'-1:lemma:warm'
1.628461 Vess b'word:flask'
1.628461 Vess b'-1:word:warmed'
1.625452 Gtype b'+1:lemma:ph5'
1.625452 Gtype b'+1:word:pH5'
1.614155 O b'lemma:rep3'
1.614155 O b'word:rep3'
1.604080 Agit b'lemma:rpm'
1.604080 Agit b'word:rpm'
1.598554 Gversion b'-1:lemma:nc'
1.598554 Gversion b'-1:word:NC'
1.595352 Gtype b'lemma:pk4854'
1.595352 Gtype b'word:PK4854'
1.594618 O b'-1:lemma:lb'
1.594618 O b'-1:word:LB'
1.573032 Anti b'lemma:seqa'
1.573032 Anti b'word:SeqA'
1.572524 Med b'+1:lemma:0.4'
1.572524 Med b'+1:word:0.4'
1.562391 Gtype b'postag:NN'
1.542677 Gtype b'word:cra'
1.526806 O b'lemma:culture'
1.526423 Air b'lemma:aerobic'
1.513795 Med b'-1:lemma:ml'
1.513795 Med b'-1:word:ml'
1.512620 Gtype b'lemma:\xce\xb4soxr'
1.512620 Gtype b'word:\xce\x94soxR'
1.507915 O b'lemma:Cra'
1.506239 Med b'isUpper'
1.484419 Air b'-1:postag::'
1.474572 Phase b'isLower'
1.473040 Gversion b'lemma:chip-seq'
1.473008 Gtype b'+1:lemma:with'
1.473008 Gtype b'+1:word:with'
1.471321 Air b'lemma:anaeroibc'
1.471321 Air b'word:Anaeroibc'
1.469722 Supp b'lemma:no3'
1.469722 Supp b'word:NO3'
1.461978 Supp b'-1:lemma:+'
1.461978 Supp b'-1:word:+'
1.456064 O b'-1:lemma:glucose'
1.456064 O b'-1:word:glucose'
1.455233 Air b'-1:lemma:ChIP-Seq'
1.455233 Air b'-1:word:ChIP-Seq'
1.454619 Anti b'lemma:none'
1.454619 Anti b'word:none'
1.448341 Technique b'word:RNA-Seq'
1.445166 O b'lemma:with'
1.445166 O b'word:with'
1.437837 Air b'lemma:Aerobic'
1.425780 Gversion b'word:ChIP-Seq'
1.420913 Supp b'lemma:Fe'
1.420913 Supp b'word:Fe'
1.415834 Gtype b'+1:postag::'
1.413544 Supp b'-1:lemma:vol'
1.413544 Supp b'-1:word:vol'
1.412341 Anti b'lemma:\xcf\x8332'
1.412341 Anti b'word:\xcf\x8332'
1.411854 Supp b'-1:lemma:sodium'
1.411854 Supp b'-1:word:Sodium'
1.405489 O b'-1:lemma:0.3'
1.405489 O b'-1:word:0.3'
1.396245 O b'lemma:at'
1.392279 Air b'lemma:aerobically'
1.392279 Air b'word:aerobically'
1.381644 Temp b'isNumber'
1.375696 Supp b'lemma:Leu'
1.375696 Supp b'word:Leu'
1.370498 Gtype b'postag:-RRB-'
1.368435 OD b'-1:postag:IN'
1.368324 Air b'lemma:anaerobically'
1.368324 Air b'word:anaerobically'
1.362352 Anti b'+1:lemma:antibody'
1.362352 Anti b'+1:word:antibody'
1.351031 Gtype b'lemma:\xce\xb4fur'
1.351031 Gtype b'word:\xce\x94fur'
Top negative:
-0.161425 O b'+1:lemma:for'
-0.161435 O b'-1:word:from'
-0.163031 O b'-1:postag:JJ'
-0.170208 pH b'isNumber'
-0.175388 Phase b'-1:word:at'
-0.176185 O b'-1:lemma:final'
-0.176185 O b'-1:word:final'
-0.179051 Temp b'isLower'
-0.182276 O b'-1:lemma:1m'
-0.182276 O b'-1:word:1M'
-0.182335 O b'lemma:nitrate'
-0.182335 O b'word:nitrate'
-0.186837 O b'-1:lemma:of'
-0.186837 O b'-1:word:of'
-0.187743 O b'lemma:20'
-0.187743 O b'word:20'
-0.191386 Gtype b'-1:lemma:mg1655'
-0.191386 Gtype b'-1:word:MG1655'
-0.196154 Phase b'+1:postag:NN'
-0.202412 O b'-1:lemma:delta'
-0.202412 O b'-1:word:delta'
-0.212437 O b'-1:lemma:the'
-0.212759 O b'-1:lemma:-lrb-'
-0.212759 O b'-1:word:-LRB-'
-0.213350 O b'word:cells'
-0.216427 O b'-1:word:the'
-0.240040 O b'+1:lemma:.'
-0.240040 O b'+1:postag:.'
-0.240040 O b'+1:word:.'
-0.243920 O b'-1:lemma:37'
-0.243920 O b'-1:word:37'
-0.251381 O b'lemma:fructose'
-0.251381 O b'word:fructose'
-0.258298 Gtype b'+1:postag:CD'
-0.264062 O b'lemma:glucose'
-0.264062 O b'word:glucose'
-0.265863 O b'-1:lemma:n2'
-0.265863 O b'-1:word:N2'
-0.266546 Med b'+1:postag:IN'
-0.269386 Technique b'-1:postag::'
-0.281436 Gtype b'-1:postag:CD'
-0.293367 OD b'isNumber'
-0.297545 Med b'-1:postag:CD'
-0.298264 Med b'+1:postag:NN'
-0.299287 O b'+1:postag:-LRB-'
-0.310462 O b'+1:word:C'
-0.312013 O b'+1:lemma:supplement'
-0.312013 O b'+1:word:supplemented'
-0.315139 Air b'isUpper'
-0.323254 O b'lemma:minimal'
-0.323254 O b'word:minimal'
-0.325354 Air b'isLower'
-0.330197 O b'lemma:medium'
-0.330197 O b'word:medium'
-0.334804 O b'+1:word:was'
-0.338934 O b'lemma:mid-log'
-0.338934 O b'word:mid-log'
-0.339837 O b'-1:lemma:ph'
-0.339837 O b'-1:word:pH'
-0.343351 O b'+1:postag:IN'
-0.352158 O b'lemma:aerobically'
-0.352158 O b'word:aerobically'
-0.353505 Supp b'+1:lemma:acetate'
-0.353505 Supp b'+1:word:acetate'
-0.354637 O b'-1:lemma:until'
-0.354637 O b'-1:word:until'
-0.366063 Gtype b'+1:lemma:-lrb-'
-0.366063 Gtype b'+1:word:-LRB-'
-0.366626 O b'+1:lemma:1m'
-0.366626 O b'+1:word:1M'
-0.367334 O b'lemma:\xce\xb4fur'
-0.367334 O b'word:\xce\x94fur'
-0.367534 Supp b'+1:lemma:rifampicin'
-0.367534 Supp b'+1:word:rifampicin'
-0.376560 Air b'postag:CD'
-0.381184 O b'word:ChIP-exo'
-0.381356 O b'-1:postag:-LRB-'
-0.384332 Supp b'+1:lemma:nacl'
-0.384332 Supp b'+1:word:NaCl'
-0.386705 Supp b'+1:postag:VBN'
-0.388164 O b'-1:lemma:mm'
-0.388164 O b'-1:word:mM'
-0.390523 O b'+1:postag:-RRB-'
-0.398465 Supp b'+1:lemma:fructose'
-0.398465 Supp b'+1:word:fructose'
-0.401244 Supp b'-1:lemma:-lrb-'
-0.401244 Supp b'-1:word:-LRB-'
-0.402437 O b'lemma:methanol'
-0.402437 O b'word:methanol'
-0.409150 O b'+1:lemma:2.0'
-0.409150 O b'+1:word:2.0'
-0.411366 Anti b'isUpper'
-0.423965 pH b'isUpper'
-0.430054 O b'-1:lemma:co2'
-0.430054 O b'-1:word:CO2'
-0.440932 Supp b'-1:postag:-LRB-'
-0.442403 O b'+1:lemma:until'
-0.442403 O b'+1:word:until'
-0.446535 O b'lemma:37'
-0.446535 O b'word:37'
-0.457767 O b'-1:lemma:rpob'
-0.457767 O b'-1:word:RpoB'
-0.477776 O b'-1:lemma:dissolve'
-0.477776 O b'+1:lemma:methanol'
-0.477776 O b'-1:word:dissolved'
-0.477776 O b'+1:word:methanol'
-0.477792 O b'+1:lemma:at'
-0.477792 O b'+1:word:at'
-0.483118 Supp b'postag:CC'
-0.489848 Phase b'isUpper'
-0.495038 O b'-1:lemma:chip-exo'
-0.497308 Air b'-1:lemma:or'
-0.497308 Air b'-1:word:or'
-0.506461 O b'postag:RB'
-0.529298 O b'+1:lemma:+'
-0.529298 O b'+1:word:+'
-0.531127 O b'-1:lemma:\xe2\x88\x86'
-0.531127 O b'-1:word:\xe2\x88\x86'
-0.538507 O b'+1:lemma:mm'
-0.538507 O b'+1:word:mM'
-0.548092 O b'lemma:0.3'
-0.548092 O b'word:0.3'
-0.563525 O b'+1:lemma:g/l'
-0.563525 O b'+1:word:g/L'
-0.570744 O b'-1:lemma:ml'
-0.570744 O b'-1:word:ml'
-0.591829 O b'lemma:anaerobically'
-0.591829 O b'word:anaerobically'
-0.598110 O b'lemma:2h'
-0.598110 O b'-1:lemma:additional'
-0.598110 O b'word:2h'
-0.598110 O b'-1:word:additional'
-0.600779 O b'-1:postag:IN'
-0.607624 Med b'-1:postag:IN'
-0.609092 pH b'isLower'
-0.613065 O b'+1:word:ChIP-exo'
-0.626312 O b'-1:lemma:30'
-0.626312 O b'-1:word:30'
-0.630541 O b'-1:lemma:2'
-0.630541 O b'-1:word:2'
-0.638505 Med b'-1:postag:NN'
-0.651973 O b'lemma:30'
-0.651973 O b'word:30'
-0.665379 Supp b'-1:postag:NNP'
-0.670601 O b'-1:lemma:nsrr'
-0.670601 O b'-1:word:NsrR'
-0.680571 Temp b'postag:NN'
-0.684733 O b'-1:lemma:1'
-0.684733 O b'-1:word:1'
-0.687802 O b'lemma:media'
-0.687802 O b'word:media'
-0.721685 O b'lemma:nitrogen'
-0.721685 O b'word:nitrogen'
-0.722056 O b'lemma:wt'
-0.741258 O b'-1:lemma:fresh'
-0.741258 O b'-1:word:fresh'
-0.753223 O b'-1:lemma:IP'
-0.753223 O b'-1:word:IP'
-0.763524 O b'-1:postag::'
-0.789743 O b'+1:lemma:1'
-0.789743 O b'+1:word:1'
-0.826009 Agit b'isUpper'
-0.838640 O b'lemma:of'
-0.838640 O b'word:of'
-0.900576 Technique b'isNumber'
-0.929708 Air b'+1:postag:JJ'
-0.932673 Air b'postag:NN'
-0.941122 O b'-1:lemma:sample'
-0.941205 Supp b'+1:lemma:-lrb-'
-0.941205 Supp b'+1:word:-LRB-'
-0.985729 O b'+1:postag:VBG'
-0.986793 O b'+1:lemma:in'
-0.986793 O b'+1:word:in'
-1.003856 Supp b'+1:postag:-LRB-'
-1.027764 Gtype b'isLower'
-1.044653 Supp b'+1:lemma:,'
-1.044653 Supp b'+1:postag:,'
-1.044653 Supp b'+1:word:,'
-1.056696 O b'postag:VBP'
-1.079385 O b'+1:lemma:2'
-1.079385 O b'+1:word:2'
-1.104140 Phase b'postag:JJ'
-1.176289 O b'lemma:rifampicin'
-1.176289 O b'word:rifampicin'
-1.182781 Gtype b'isUpper'
-1.265677 Gversion b'isLower'
-1.274432 O b'-1:lemma:vol'
-1.274432 O b'-1:word:vol'
-1.294047 Technique b'isLower'
-1.345193 Gtype b'isNumber'
-1.368743 OD b'+1:postag:NN'
-1.433260 Anti b'postag:NNP'
-1.439292 Temp b'+1:postag:IN'
-1.581204 Supp b'postag:JJ'
-1.682734 Phase b'-1:postag:JJ'
-1.916711 O b'-1:postag:VBG'
-1.991385 O b'-1:lemma:_'
-1.991385 O b'-1:word:_'
-2.027885 O b'-1:lemma::'
-2.027885 O b'-1:word::'
********** TRAINING AND TESTING REPORT **********
Training file: training-data-set-70.txt
best params:{'c1': 0.05028906165720029, 'c2': 0.013800616937860201}
best CV score:0.88742941188346
model size: 0.15M
Flat F1: 0.7898290630427373
precision recall f1-score support
OD 0.720 0.818 0.766 22
pH 1.000 1.000 1.000 8
Technique 0.955 0.913 0.933 23
Med 1.000 0.962 0.981 53
Temp 1.000 0.724 0.840 29
Vess 1.000 1.000 1.000 1
Agit 0.000 0.000 0.000 0
Phase 0.882 1.000 0.938 15
Air 0.556 0.362 0.439 69
Anti 1.000 1.000 1.000 11
Strain 1.000 1.000 1.000 1
Gtype 0.897 0.824 0.859 85
Substrain 0.000 0.000 0.000 0
Supp 0.732 0.813 0.770 134
Gversion 0.000 0.000 0.000 0
avg / total 0.813 0.778 0.790 451
Top likely transitions:
Agit -> Agit 6.109590
Temp -> Temp 5.811903
Anti -> Anti 5.262249
Med -> Med 5.103938
Supp -> Supp 4.904278
OD -> OD 4.790162
Gversion -> Gversion 4.698942
Gtype -> Gtype 4.209922
Phase -> Phase 4.104196
O -> O 3.995376
Air -> Air 3.716034
Technique -> Technique 3.620673
pH -> pH 3.119671
O -> Technique 0.701338
Substrain -> Gtype 0.676777
O -> Gtype 0.289823
Technique -> Air 0.121096
Gtype -> Supp 0.100772
Air -> O 0.080919
O -> Anti 0.071010
O -> Supp 0.059391
Temp -> O 0.059203
Gtype -> Substrain -0.000305
O -> Substrain -0.001303
O -> Strain -0.001660
O -> Temp -0.004966
Phase -> Air -0.022029
Technique -> Supp -0.049531
Air -> Agit -0.068359
Phase -> Technique -0.070606
Anti -> Gtype -0.083548
OD -> Supp -0.090468
Anti -> Supp -0.120287
Phase -> Gtype -0.143036
Agit -> Air -0.174747
Technique -> OD -0.200986
Anti -> Temp -0.205319
Phase -> OD -0.217351
Supp -> Technique -0.233971
Supp -> Gtype -0.263727
O -> Phase -0.272927
Supp -> Anti -0.274653
Anti -> O -0.304091
Technique -> Gtype -0.363832
Gtype -> Technique -0.369874
Supp -> Air -0.382660
Supp -> O -0.386124
Temp -> Med -0.389357
OD -> O -0.415227
Gversion -> O -0.421904
Top unlikely transitions:
O -> Supp 0.059391
Temp -> O 0.059203
Gtype -> Substrain -0.000305
O -> Substrain -0.001303
O -> Strain -0.001660
O -> Temp -0.004966
Phase -> Air -0.022029
Technique -> Supp -0.049531
Air -> Agit -0.068359
Phase -> Technique -0.070606
Anti -> Gtype -0.083548
OD -> Supp -0.090468
Anti -> Supp -0.120287
Phase -> Gtype -0.143036
Agit -> Air -0.174747
Technique -> OD -0.200986
Anti -> Temp -0.205319
Phase -> OD -0.217351
Supp -> Technique -0.233971
Supp -> Gtype -0.263727
O -> Phase -0.272927
Supp -> Anti -0.274653
Anti -> O -0.304091
Technique -> Gtype -0.363832
Gtype -> Technique -0.369874
Supp -> Air -0.382660
Supp -> O -0.386124
Temp -> Med -0.389357
OD -> O -0.415227
Gversion -> O -0.421904
OD -> Air -0.437118
Med -> O -0.457761
Phase -> Med -0.566106
Technique -> pH -0.588485
Air -> Supp -0.749133
Gtype -> Med -0.749905
Air -> Phase -0.761522
O -> OD -0.761983
Air -> Med -0.800817
Gtype -> Anti -0.885857
O -> Med -0.928117
Phase -> O -0.934773
Technique -> O -0.944445
Air -> Temp -0.967834
Phase -> Supp -1.004648
Gtype -> O -1.364531
O -> Air -1.614738
Substrain -> O -1.728040
Supp -> Med -1.841267
Med -> Supp -2.122160
Top positive:
4.639572 Gtype b'word[:1]:\xce\x94'
4.300520 O b'word[:2]:re'
4.022984 Air b'postag:RB'
3.627801 Air b'lemma:anaerobic'
3.468741 O b'-1:lemma:tag'
3.363521 Supp b'-1:word:Cra'
3.318146 O b'lemma:_'
3.318146 O b'word[:1]:_'
3.318146 O b'word:_'
3.308857 Air b'word[:2]:Ae'
3.308857 Air b'word:Aerobic'
3.289642 Technique b'word[:2]:Ch'
3.223570 Air b'word[:2]:An'
3.197124 O b'postag::'
3.084091 O b'-1:word:tag'
2.996318 O b'word:A'
2.988262 O b'lemma:-'
2.988262 O b'word:-'
2.840867 Gtype b'word[:1]:d'
2.829005 O b'postag:IN'
2.786835 O b'lemma:with'
2.786835 O b'word:with'
2.782828 Supp b'word[:2]:ni'
2.740660 Phase b'lemma:stationary'
2.740660 Phase b'word:stationary'
2.739492 Gtype b'word[:2]:Fl'
2.729139 Gtype b'lemma:wt'
2.700600 O b'lemma:2'
2.700600 O b'word:2'
2.647887 O b'lemma:.'
2.647887 O b'postag:.'
2.647887 O b'word:.'
2.619024 Supp b'+1:lemma:\xc2\xb5m'
2.619024 Supp b'+1:word:\xc2\xb5M'
2.615368 O b'word[:1]:S'
2.613499 Anti b'word[:2]:an'
2.594946 O b'+1:postag:RB'
2.569496 Gtype b'word[:1]:W'
2.549272 Strain b'+1:lemma:substr'
2.549272 Strain b'+1:word:substr'
2.513933 O b'word[:2]:Cu'
2.467059 Air b'word[:1]:A'
2.464095 O b'lemma:3'
2.464095 O b'word:3'
2.462122 Phase b'word[:1]:e'
2.460202 Phase b'lemma:mid-log'
2.460202 Phase b'word:mid-log'
2.433822 Supp b'-1:lemma:vol'
2.433822 Supp b'-1:word:vol'
2.404119 O b'postag:VBN'
2.403872 O b'lemma:1'
2.403872 O b'word:1'
2.395598 Supp b'word[:1]:I'
2.389732 O b'word[:2]:Rp'
2.385820 Technique b'word[:2]:RN'
2.354852 Supp b'postag:VBP'
2.345794 O b'word[:1]:G'
2.326682 Supp b'lemma:Iron'
2.326682 Supp b'word[:2]:Ir'
2.326682 Supp b'word:Iron'
2.326682 Supp b'+1:word:Deficient'
2.299398 O b'-1:word:Aerobic'
2.288147 O b'lemma:Custom'
2.288147 O b'word:Custom'
2.281710 Technique b'lemma:ChIP-exo'
2.276249 Supp b'-1:lemma:with'
2.276249 Supp b'-1:word:with'
2.249269 O b'-1:lemma:lb'
2.249269 O b'-1:word:LB'
2.249119 O b'lemma:a'
2.237257 O b'word[:2]:Cr'
2.232635 Supp b'lemma:arginine'
2.214367 Gtype b'word[:2]:PK'
2.207423 O b'isNumber'
2.202429 Gtype b'lemma:arca8myc'
2.202429 Gtype b'word:ArcA8myc'
2.192107 Gtype b'word[:1]:w'
2.183043 O b'lemma:at'
2.175197 Supp b'word[:2]:Fe'
2.159024 O b'postag:CC'
2.155380 O b'-1:lemma:glucose'
2.155380 O b'-1:word:glucose'
2.119159 Supp b'lemma:pq'
2.119159 Supp b'word[:2]:PQ'
2.119159 Supp b'word:PQ'
2.088381 Technique b'lemma:rna-seq'
2.079903 O b'+1:lemma:or'
2.079903 O b'+1:word:or'
2.068009 Supp b'word[:1]:1'
2.067542 O b'postag:VBG'
2.066432 O b'word[:2]:ge'
2.058739 Technique b'word[:1]:C'
2.044761 Supp b'-1:lemma:Cra'
2.043046 O b'word:Cra'
2.038603 Temp b'+1:lemma:in'
2.038603 Temp b'+1:word:in'
2.015876 O b'word[:2]:ch'
2.009137 O b'+1:word:ChIP-Seq'
1.989519 O b'-1:lemma:0.3'
1.989519 O b'-1:word:0.3'
1.978424 O b'+1:postag:NNP'
1.973212 Phase b'word[:2]:ex'
1.972232 Supp b'-1:postag:CC'
1.959095 Air b'word:anaerobic'
1.957164 Gtype b'word[:1]:t'
1.948276 Gtype b'word[:2]:cr'
1.939810 Med b'lemma:MOPS'
1.939810 Med b'word[:2]:MO'
1.939810 Med b'word:MOPS'
1.939729 Air b'+1:postag:IN'
1.934822 Supp b'lemma:nacl'
1.934822 Supp b'word:NaCl'
1.926545 O b'lemma:ompr'
1.926545 O b'word[:2]:Om'
1.926545 O b'word:OmpR'
1.924885 pH b'word[:2]:pH'
1.920642 Med b'+1:lemma:0.4'
1.920642 Med b'+1:word:0.4'
1.911633 Technique b'word[:1]:R'
1.891089 O b'isLower'
1.886521 Supp b'-1:lemma:+'
1.886521 Supp b'-1:word:+'
1.870705 Substrain b'word[:2]:MG'
1.852940 O b'lemma:delta'
1.852940 O b'word:delta'
1.848066 O b'word[:1]:E'
1.846119 O b'word[:1]:R'
1.831986 Gversion b'lemma:chip-seq'
1.821131 Gtype b'hGreek'
1.820825 Med b'word[:1]:M'
1.809718 O b'+1:lemma:pq'
1.809718 O b'+1:word:PQ'
1.793169 O b'word[:1]:B'
1.790300 Gtype b'-1:lemma:\xe2\x88\x86'
1.790300 Gtype b'-1:word:\xe2\x88\x86'
1.784099 O b'lemma:purr'
1.784099 O b'word:PurR'
1.777360 Supp b'lemma:acetate'
1.777360 Supp b'word:acetate'
1.774907 Gtype b'word[:1]:F'
1.753560 Gversion b'word[:2]:00'
1.753502 O b'postag:DT'
1.733991 Gversion b'lemma:nc'
1.733991 Gversion b'word[:2]:NC'
1.733991 Gversion b'word:NC'
1.727458 Technique b'-1:lemma:chip-exo'
1.727043 Gversion b'lemma:asm584v2'
1.727043 Gversion b'word[:2]:AS'
1.727043 Gversion b'word:ASM584v2'
1.725711 O b'-1:lemma:0.3-0.35'
1.725711 O b'-1:word:0.3-0.35'
1.718272 Med b'-1:lemma:ml'
1.718272 Med b'-1:word:ml'
1.708599 Air b'word[:1]:a'
1.705288 Gtype b'word[:2]:WT'
1.705288 Gtype b'word:WT'
1.702939 Gtype b'lemma:type'
1.702939 Gtype b'word[:2]:ty'
1.702939 Gtype b'word:type'
1.700727 Gversion b'word:ChIP-Seq'
1.678369 Med b'word[:1]:L'
1.677602 Substrain b'word[:1]:M'
1.675405 Air b'word:Anaerobic'
1.673928 O b'-1:lemma:phase'
1.673928 O b'-1:word:phase'
1.670556 Gtype b'symb'
1.664412 Gtype b'word[:2]:Ar'
1.656247 Air b'lemma:anaerobically'
1.656247 Air b'word:anaerobically'
1.629999 O b'-1:lemma:into'
1.629999 O b'-1:word:into'
1.625974 Agit b'+1:lemma:rpm'
1.625974 Agit b'+1:word:rpm'
1.623101 Air b'-1:postag::'
1.617445 O b'word[:1]:C'
1.614655 O b'+1:lemma:od600'
1.614655 O b'+1:word:OD600'
1.613598 Supp b'lemma:rifampicin'
1.613598 Supp b'word:rifampicin'
1.609900 Supp b'word[:2]:ri'
1.592698 O b'lemma:b'
1.592698 O b'word:B'
1.589084 Gtype b'lemma:flag-tag'
1.589084 Gtype b'-1:lemma:c-terminal'
1.589084 Gtype b'word:Flag-tag'
1.589084 Gtype b'-1:word:C-terminal'
1.588544 Gtype b'word[:1]:f'
1.561372 Med b'+1:lemma:2.0'
1.561372 Med b'+1:word:2.0'
1.560963 Supp b'word[:2]:gl'
1.560208 O b'-1:postag:NNS'
1.547132 O b'-1:lemma:type'
1.547132 O b'-1:word:type'
1.539083 O b'+1:lemma:mid-log'
1.539083 O b'+1:word:mid-log'
1.531367 Strain b'lemma:k-12'
1.531367 Strain b'word[:2]:K-'
1.531367 Strain b'word:K-12'
1.524189 Med b'word[:2]:me'
1.516646 Temp b'-1:word:sample'
Top negative:
-0.288032 O b'-1:lemma:delta'
-0.288032 O b'-1:word:delta'
-0.292633 O b'-1:lemma:mm'
-0.292633 O b'-1:word:mM'
-0.294985 O b'-1:lemma:250'
-0.294985 O b'-1:word:250'
-0.296179 Temp b'symb'
-0.301980 O b'-1:lemma:control'
-0.301980 O b'-1:word:control'
-0.308283 O b'lemma:sodium'
-0.308283 O b'word:Sodium'
-0.314104 O b'word[:2]:OD'
-0.314668 O b'lemma:20'
-0.314668 O b'word:20'
-0.316973 O b'-1:lemma:cra'
-0.318579 OD b'hUpper'
-0.318579 OD b'hLower'
-0.320649 Strain b'isLower'
-0.322585 O b'+1:lemma:phosphate'
-0.322585 O b'+1:word:phosphate'
-0.324375 Technique b'-1:postag::'
-0.329447 Vess b'hUpper'
-0.329447 Vess b'hLower'
-0.331787 O b'lemma:37'
-0.331787 O b'word[:2]:37'
-0.331787 O b'word:37'
-0.334237 O b'+1:lemma:antibody'
-0.334237 O b'+1:word:antibody'
-0.334457 O b'+1:postag:-RRB-'
-0.344240 O b'+1:lemma:-rrb-'
-0.344240 O b'+1:word:-RRB-'
-0.345027 O b'lemma:30'
-0.345027 O b'word:30'
-0.346004 O b'lemma:glucose'
-0.346004 O b'word:glucose'
-0.346763 O b'+1:word:for'
-0.348278 O b'+1:lemma:supplement'
-0.348278 O b'+1:word:supplemented'
-0.354399 O b'word[:2]:Fe'
-0.354537 Gtype b'-1:lemma:mg1655'
-0.354537 Gtype b'-1:word:MG1655'
-0.357807 O b'word[:1]:p'
-0.358553 O b'lemma:fructose'
-0.358553 O b'word:fructose'
-0.365765 O b'word[:2]:cr'
-0.366538 O b'-1:lemma:nsrr'
-0.366538 O b'-1:word:NsrR'
-0.380953 Gtype b'lemma:delta'
-0.380953 Gtype b'word:delta'
-0.384577 O b'lemma:wt'
-0.388919 O b'lemma:0.3'
-0.388919 O b'word:0.3'
-0.393930 O b'word[:2]:gl'
-0.394132 O b'-1:lemma:37'
-0.394132 O b'-1:word:37'
-0.397348 O b'word[:2]:ae'
-0.400421 Anti b'symb'
-0.403822 Temp b'postag:NN'
-0.416428 O b'+1:lemma:_'
-0.416428 O b'+1:word:_'
-0.418494 Gtype b'+1:postag:CD'
-0.429910 O b'lemma:anaerobically'
-0.429910 O b'word:anaerobically'
-0.430496 O b'-1:lemma:\xe2\x88\x86'
-0.430496 O b'-1:word:\xe2\x88\x86'
-0.435685 Anti b'isUpper'
-0.439926 O b'word[:1]:0'
-0.455543 Supp b'-1:postag:NNP'
-0.459841 O b'+1:word:ChIP-exo'
-0.467718 O b'+1:lemma:until'
-0.467718 O b'+1:word:until'
-0.471394 Technique b'isLower'
-0.477058 O b'+1:lemma:mm'
-0.477058 O b'+1:word:mM'
-0.479461 O b'lemma:methanol'
-0.479461 O b'word:methanol'
-0.479626 O b'+1:lemma:2.0'
-0.479626 O b'+1:word:2.0'
-0.483129 Gtype b'+1:lemma:-rrb-'
-0.483129 Gtype b'+1:word:-RRB-'
-0.493814 O b'-1:lemma:final'
-0.493814 O b'-1:word:final'
-0.494462 O b'+1:lemma:1m'
-0.494462 O b'+1:word:1M'
-0.498667 O b'word[:2]:ce'
-0.519190 Air b'-1:postag:JJ'
-0.523733 O b'-1:lemma:dissolve'
-0.523733 O b'+1:lemma:methanol'
-0.523733 O b'-1:word:dissolved'
-0.523733 O b'+1:word:methanol'
-0.526708 O b'word:cells'
-0.526835 O b'lemma:aerobically'
-0.526835 O b'word:aerobically'
-0.527859 O b'lemma:mid-log'
-0.527859 O b'word:mid-log'
-0.533576 O b'-1:lemma:ml'
-0.533576 O b'-1:word:ml'
-0.561344 Supp b'word[:2]:an'
-0.570853 O b'+1:lemma:+'
-0.570853 O b'+1:word:+'
-0.571720 O b'word[:2]:mg'
-0.573354 O b'-1:lemma:co2'
-0.573354 O b'-1:word:CO2'
-0.605365 O b'+1:lemma:at'
-0.605365 O b'+1:word:at'
-0.606419 O b'-1:lemma:1'
-0.606419 O b'-1:word:1'
-0.606723 O b'-1:lemma:IP'
-0.606723 O b'-1:word:IP'
-0.612276 Gtype b'postag::'
-0.613913 O b'lemma:2h'
-0.613913 O b'-1:lemma:additional'
-0.613913 O b'word[:2]:2h'
-0.613913 O b'word:2h'
-0.613913 O b'-1:word:additional'
-0.615802 O b'-1:lemma:30'
-0.615802 O b'-1:word:30'
-0.619836 O b'+1:lemma:rep2'
-0.619836 O b'+1:word:rep2'
-0.621214 O b'+1:lemma:for'
-0.640517 O b'word[:1]:K'
-0.670387 O b'word[:1]:4'
-0.678961 Med b'+1:postag:IN'
-0.690560 Supp b'-1:lemma:-lrb-'
-0.690560 Supp b'-1:word:-LRB-'
-0.718679 Air b'-1:lemma:or'
-0.718679 Air b'-1:word:or'
-0.725669 Technique b'isNumber'
-0.728283 O b'-1:lemma:rpob'
-0.728283 O b'-1:word:RpoB'
-0.748299 Gtype b'isNumber'
-0.754138 Supp b'-1:postag:-LRB-'
-0.776918 O b'+1:postag:IN'
-0.784907 O b'+1:lemma:g/l'
-0.784907 O b'+1:word:g/L'
-0.790364 Agit b'symb'
-0.802282 pH b'isLower'
-0.823837 Air b'symb'
-0.845641 Supp b'+1:postag:VBN'
-0.868864 O b'word[:1]:N'
-0.880681 O b'word[:1]:M'
-0.885424 O b'-1:lemma:until'
-0.885424 O b'-1:word:until'
-0.887496 Med b'symb'
-0.888872 O b'+1:postag:VBG'
-0.890184 O b'word[:2]:ri'
-0.907641 Air b'postag:NN'
-0.915110 Phase b'hUpper'
-0.915110 Phase b'hLower'
-0.929811 O b'lemma:rifampicin'
-0.929811 O b'word:rifampicin'
-0.929936 Anti b'postag:NNP'
-0.930510 O b'+1:lemma:1'
-0.930510 O b'+1:word:1'
-0.961858 O b'word[:2]:ni'
-1.003184 O b'-1:lemma:sample'
-1.005029 O b'postag:RB'
-1.007966 O b'+1:lemma:in'
-1.007966 O b'+1:word:in'
-1.010292 Supp b'postag:JJ'
-1.060178 Technique b'postag:NN'
-1.065943 O b'word[:2]:me'
-1.096716 O b'word[:2]:30'
-1.098543 O b'-1:lemma:2'
-1.098543 O b'-1:word:2'
-1.120503 Agit b'hUpper'
-1.120503 Agit b'hLower'
-1.151730 Gtype b'isUpper'
-1.162851 O b'word[:2]:fl'
-1.291732 Med b'-1:postag:IN'
-1.298568 Supp b'hGreek'
-1.326735 Supp b'+1:lemma:-lrb-'
-1.326735 Supp b'+1:word:-LRB-'
-1.328519 O b'+1:lemma:2'
-1.328519 O b'+1:word:2'
-1.354230 Supp b'+1:postag:-LRB-'
-1.356038 O b'-1:lemma:fresh'
-1.356038 O b'-1:word:fresh'
-1.359201 Gversion b'isLower'
-1.362233 Supp b'word[:1]:C'
-1.378443 O b'-1:postag::'
-1.474890 OD b'+1:postag:NN'
-1.530172 O b'postag:VBP'
-1.570112 Supp b'symb'
-1.647234 Gtype b'word[:1]:C'
-1.681334 Supp b'+1:lemma:,'
-1.681334 Supp b'+1:postag:,'
-1.681334 Supp b'+1:word:,'
-1.795778 Phase b'-1:postag:JJ'
-1.890265 O b'word[:2]:Ch'
-1.929419 O b'-1:lemma:vol'
-1.929419 O b'-1:word:vol'
-2.060566 O b'-1:lemma:_'
-2.060566 O b'-1:word:_'
-2.190996 O b'-1:postag:VBG'
-2.302290 O b'word[:1]:P'
-2.881552 Phase b'postag:JJ'
-2.952863 O b'-1:lemma::'
-2.952863 O b'-1:word::'
-3.410195 Temp b'+1:postag:IN'
********** TRAINING AND TESTING REPORT **********
Training file: training-data-set-70.txt
best params:{'c1': 0.11742461718830033, 'c2': 0.02662617554316118}
best CV score:0.8708719401464459
model size: 0.09M
Flat F1: 0.7826516624223783
precision recall f1-score support
OD 1.000 0.818 0.900 22
pH 1.000 1.000 1.000 8
Technique 1.000 0.870 0.930 23
Med 1.000 0.925 0.961 53
Temp 0.923 0.828 0.873 29
Vess 1.000 1.000 1.000 1
Agit 0.000 0.000 0.000 0
Phase 0.875 0.933 0.903 15
Air 0.545 0.348 0.425 69
Anti 1.000 1.000 1.000 11
Strain 0.000 0.000 0.000 1
Gtype 0.857 0.847 0.852 85
Substrain 0.000 0.000 0.000 0
Supp 0.704 0.799 0.748 134
Gversion 0.000 0.000 0.000 0
avg / total 0.804 0.772 0.783 451
Top likely transitions:
Agit -> Agit 5.439901
Temp -> Temp 5.396669
Med -> Med 5.065020
OD -> OD 4.953210
Supp -> Supp 4.896498
Anti -> Anti 4.277247
Gversion -> Gversion 4.163938
Air -> Air 4.130174
Phase -> Phase 4.128094
Gtype -> Gtype 3.922783
O -> O 3.869994
Technique -> Technique 3.221345
pH -> pH 2.835222
Substrain -> Gtype 1.574095
Gtype -> Supp 1.244904
Air -> O 1.082917
O -> Supp 0.945786
Gtype -> Air 0.814323
O -> Technique 0.803752
Technique -> Air 0.755226
O -> Gtype 0.648261
Temp -> O 0.611338
Supp -> O 0.532088
Med -> O 0.507836
Gtype -> pH 0.235927
O -> Phase 0.033778
O -> Temp 0.009155
OD -> O 0.003553
Phase -> O 0.002640
O -> Anti 0.000010
Agit -> Air -0.021320
Gtype -> Gversion -0.030123
OD -> Supp -0.033547
Temp -> Med -0.036476
Anti -> Supp -0.053259
Gversion -> Supp -0.053463
pH -> Supp -0.054168
Agit -> O -0.058474
Anti -> Gtype -0.061061
Air -> Supp -0.073851
Air -> Gtype -0.074481
Gtype -> Anti -0.117328
Technique -> O -0.137588
Technique -> Supp -0.248290
Phase -> Supp -0.268131
Supp -> Gtype -0.293733
Technique -> pH -0.298257
Gtype -> Technique -0.326009
Air -> Agit -0.339414
OD -> Air -0.488502
Top unlikely transitions:
Phase -> Phase 4.128094
Gtype -> Gtype 3.922783
O -> O 3.869994
Technique -> Technique 3.221345
pH -> pH 2.835222
Substrain -> Gtype 1.574095
Gtype -> Supp 1.244904
Air -> O 1.082917
O -> Supp 0.945786
Gtype -> Air 0.814323
O -> Technique 0.803752
Technique -> Air 0.755226
O -> Gtype 0.648261
Temp -> O 0.611338
Supp -> O 0.532088
Med -> O 0.507836
Gtype -> pH 0.235927
O -> Phase 0.033778
O -> Temp 0.009155
OD -> O 0.003553
Phase -> O 0.002640
O -> Anti 0.000010
Agit -> Air -0.021320
Gtype -> Gversion -0.030123
OD -> Supp -0.033547
Temp -> Med -0.036476
Anti -> Supp -0.053259
Gversion -> Supp -0.053463
pH -> Supp -0.054168
Agit -> O -0.058474
Anti -> Gtype -0.061061
Air -> Supp -0.073851
Air -> Gtype -0.074481
Gtype -> Anti -0.117328
Technique -> O -0.137588
Technique -> Supp -0.248290
Phase -> Supp -0.268131
Supp -> Gtype -0.293733
Technique -> pH -0.298257
Gtype -> Technique -0.326009
Air -> Agit -0.339414
OD -> Air -0.488502
Supp -> Med -0.523205
Gtype -> Med -0.574774
Phase -> OD -0.634226
Gtype -> O -0.677390
O -> Air -0.728489
Substrain -> O -1.385260
Technique -> Gtype -1.386457
Med -> Supp -1.650239
Top positive:
5.983679 O b'lemma:2'
5.708283 O b'lemma:1'
5.291727 Anti b'-2:lemma:antibody'
5.271899 O b'lemma:_'
5.171865 O b'-2:lemma:_'
5.109951 Air b'lemma:anaerobic'
4.833145 Supp b'lemma:pq'
4.718160 Gtype b'lemma:wt'
4.673729 Air b'lemma:Aerobic'
4.664753 Phase b'lemma:mid-log'
4.425413 Technique b'lemma:ChIP-exo'
4.373332 O b'lemma:3'
4.329653 Technique b'lemma:chipseq'
4.295751 Gtype b'lemma:\xce\xb4cra'
4.272115 O b'postag:IN'
4.193944 O b'lemma:-'
4.105250 O b'-2:lemma:flagtag'
3.881424 Gtype b'lemma:\xe2\x88\x86'
3.811304 Gtype b'lemma:type'
3.772718 Supp b'lemma:acetate'
3.730833 Air b'lemma:aerobic'
3.724640 Supp b'lemma:Iron'
3.724640 Supp b'-2:lemma:Anaerobic'
3.702380 Technique b'lemma:rna-seq'
3.629433 Med b'lemma:MOPS'
3.616769 Phase b'-2:lemma:phase'
3.559707 Gtype b'-2:lemma:genotype/variation'
3.537572 O b'-1:lemma:ChIP-exo'
3.496406 O b'lemma:rpob'
3.490750 O b'lemma:b'
3.490732 Supp b'lemma:no3'
3.489138 Gtype b'-1:lemma:\xe2\x88\x86'
3.452471 Gtype b'lemma:wild-type'
3.420571 O b'lemma:.'
3.420571 O b'postag:.'
3.356242 Technique b'lemma:chip-seq'
3.342023 Gtype b'lemma:flag-tag'
3.342023 Gtype b'-1:lemma:c-terminal'
3.304679 Supp b'lemma:glucose'
3.282996 Gtype b'+1:lemma:type'
3.241512 Gtype b'-2:lemma:genotype'
3.239460 Supp b'lemma:nh4cl'
3.218527 O b'postag:VBN'
3.217484 Gtype b'lemma:\xce\xb4fur'
3.214660 O b'postag:CC'
3.210243 Air b'postag:RB'
3.201840 Supp b'lemma:nacl'
3.109296 O b'lemma:Cra'
3.084845 Med b'lemma:lb'
3.063147 Technique b'+2:lemma:ph5'
2.988964 Gtype b'lemma:\xce\xb4soxr'
2.984262 Substrain b'lemma:mg1655'
2.978054 O b'lemma:a'
2.956989 O b'+2:lemma:\xc2\xb0c'
2.950924 Supp b'-1:lemma:Cra'
2.931773 Supp b'-1:lemma:with'
2.929761 Gtype b'lemma:dfnr'
2.905654 Supp b'+2:lemma:iptg'
2.866746 Gtype b'+1:lemma:with'
2.842281 Air b'-1:lemma:ChIP-Seq'
2.828322 Gversion b'lemma:chip-seq'
2.823426 O b'lemma:with'
2.760771 Supp b'+1:lemma:1'
2.758606 O b'-2:lemma:medium'
2.741640 O b'lemma:harbor'
2.720158 O b'postag::'
2.703191 O b'-2:lemma:myc'
2.679753 Supp b'lemma:arginine'
2.637422 O b'lemma:CEL'
2.617257 Supp b'lemma:nitrate'
2.594301 Med b'lemma:m63'
2.591729 Gtype b'-2:lemma:affyexp'
2.582886 O b'+1:lemma:arca-8myc'
2.577790 O b'lemma:rep2'
2.534418 O b'-1:lemma:tag'
2.528514 Air b'-2:lemma:IP'
2.504515 Technique b'lemma:rnaseq'
2.471761 Anti b'+2:lemma:antibody'
2.471597 Gtype b'-2:lemma:delta'
2.467503 O b'+1:postag:RB'
2.427219 Gtype b'lemma:nsrr'
2.421459 Temp b'+1:lemma:\xc2\xb0c'
2.372534 pH b'lemma:ph5'
2.372534 pH b'+1:lemma:.5'
2.367833 O b'-1:lemma:\xc2\xb0c'
2.356914 O b'-1:lemma:lb'
2.353522 pH b'+1:postag:CD'
2.353189 Substrain b'-2:lemma:substr'
2.337098 O b'-1:lemma:media'
2.331240 Substrain b'+1:lemma:phtpg'
2.324866 O b'lemma:chip'
2.323779 Supp b'+1:lemma:\xc2\xb5m'
2.323177 Technique b'lemma:ChIP-Seq'
2.307876 Med b'+2:lemma:b2'
2.303217 Technique b'-2:lemma:Fur'
2.273849 O b'-1:lemma:0.3'
2.257978 O b'postag:VBG'
2.240524 Supp b'lemma:rifampicin'
2.236973 Supp b'lemma:Leu'
2.236973 Supp b'-2:lemma:Lrp'
2.235697 Supp b'+1:lemma:2'
2.230133 Phase b'-1:lemma:mid-log'
2.228853 O b'-1:lemma:glucose'
2.227815 Gtype b'lemma:pk4854'
2.224657 O b'-1:lemma:type'
2.216378 Temp b'lemma:43'
2.186438 Technique b'-1:lemma:IP'
2.183211 Air b'lemma:anaeroibc'
2.178971 O b'lemma:ompr'
2.172933 O b'postag:DT'
2.169610 Gtype b'lemma:\xce\xb4ompr'
2.165614 Med b'+2:postag:CC'
2.159914 Anti b'+1:lemma:antibody'
2.153606 Temp b'-1:lemma:43'
2.153085 Strain b'+1:lemma:substr'
2.153085 Strain b'-2:lemma:str'
2.150589 Technique b'-1:lemma:chip-exo'
2.149006 O b'lemma:\xcf\x8332'
2.146310 Gversion b'lemma:.2'
2.146310 Gversion b'-1:lemma:u00096'
2.114460 Supp b'-2:lemma:agent'
2.108548 Gtype b'lemma:\xce\xb4oxyr'
2.105031 Phase b'lemma:phase'
2.100300 Supp b'lemma:Adenine'
2.098088 Phase b'lemma:exponential'
2.098088 Phase b'lemma:stationary'
2.094636 Med b'lemma:media'
2.086211 O b'-1:lemma:anaerobic'
2.078690 Temp b'-2:lemma:\xcf\x8332'
2.068985 Strain b'lemma:k-12'
2.060042 Gtype b'+1:lemma:ph5'
2.060042 Gtype b'+2:lemma:.5'
2.045367 Supp b'-1:postag:CC'
2.044761 O b'lemma:culture'
2.040704 Air b'-1:lemma:-'
2.031026 Agit b'+1:lemma:rpm'
2.005630 Temp b'lemma:\xc2\xb0c'
2.002408 Gversion b'lemma:nc'
1.977153 O b'+1:postag:NNP'
1.977024 Temp b'-1:lemma:\xcf\x8332'
1.951581 Agit b'lemma:rpm'
1.949335 O b'+2:lemma:cra'
1.935385 O b'+1:lemma:coli'
1.922594 O b'-2:lemma:min'
1.919473 O b'lemma:trpr'
1.912878 O b'+1:lemma:pq'
1.906260 Gtype b'-1:lemma:rpob'
1.904505 O b'lemma:affyexp'
1.904293 O b'+2:postag:JJ'
1.894199 O b'lemma::'
1.893995 Supp b'+1:lemma:_'
1.893414 O b'lemma:ml'
1.888699 Gtype b'+2:lemma:glucose'
1.886515 Air b'lemma:aerobically'
1.883298 O b'lemma:soxs'
1.883298 O b'lemma:soxr'
1.880710 Technique b'-1:lemma:input'
1.869042 O b'+1:lemma:chip-seq'
1.862515 O b'lemma:purr'
1.862115 Supp b'-1:lemma:+'
1.858052 Gversion b'-2:lemma:nc'
1.854664 Med b'lemma:broth'
1.854664 Med b'-1:lemma:L'
1.847606 O b'lemma:argr'
1.839375 Supp b'lemma:fructose'
1.836951 Med b'+2:lemma:b1'
1.831180 O b'+1:lemma:od600'
1.812452 Supp b'-2:lemma:media'
1.805430 O b'+2:lemma:70'
1.783003 O b'postag:NNS'
1.764987 O b'lemma:Custom'
1.761982 O b'postag:VBD'
1.753599 Gtype b'lemma:ptac'
1.745562 O b'-1:lemma:into'
1.741499 Gversion b'-2:lemma:build'
1.738402 O b'-1:lemma:Aerobic'
1.737853 O b'-1:lemma:aerobically'
1.729257 Gtype b'-1:lemma:ptac'
1.698587 Med b'lemma:minimal'
1.685171 Gtype b'-1:postag:VBG'
1.673819 Supp b'+1:lemma:mm'
1.660602 Gtype b'-2:postag:DT'
1.656972 Gversion b'lemma:u00096'
1.656972 Gversion b'+1:lemma:.2'
1.651395 O b'+1:lemma:condition'
1.646766 Med b'+1:lemma:0.4'
1.640461 Med b'+1:lemma:minimal'
1.624295 Phase b'+1:lemma:phase'
1.616317 O b'+1:lemma:wt'
1.615928 O b'-2:lemma:ChIP-Seq'
1.609855 O b'-2:lemma:='
1.606382 O b'lemma:s'
1.604664 Med b'-1:lemma:in'
1.594986 Temp b'-1:lemma:sample'
1.583211 Technique b'-1:lemma:rna-seq'
1.582844 Gtype b'+1:lemma:_'
1.568792 Gtype b'+1:lemma:flagtag'
1.567871 Technique b'-2:lemma:wt'
1.565512 Supp b'-2:lemma:condition'
1.560908 Gversion b'lemma:asm584v2'
Top negative:
-0.122905 Supp b'+2:postag::'
-0.125639 Gtype b'-2:postag:IN'
-0.129668 O b'+2:lemma:genome'
-0.129916 OD b'postag:NN'
-0.133563 O b'+1:lemma:95'
-0.133782 Supp b'lemma:10'
-0.137203 Supp b'+1:lemma:fructose'
-0.138947 O b'lemma:7.6'
-0.138947 O b'+1:lemma:;'
-0.140900 Technique b'-2:postag:NN'
-0.146216 Supp b'-1:postag:VBN'
-0.149727 Supp b'-1:lemma:dpd'
-0.150840 O b'-1:lemma:from'
-0.154233 O b'+2:lemma:0.2'
-0.156252 Supp b'+2:lemma:dpd'
-0.158510 Agit b'postag:NN'
-0.165524 O b'+2:lemma:ph'
-0.168672 O b'+1:lemma:fecl2'
-0.171936 O b'+1:lemma:_'
-0.172454 O b'lemma:m63'
-0.175276 Temp b'-2:postag:NN'
-0.175662 Supp b'-1:lemma:10'
-0.177633 O b'-2:lemma:nh4cl'
-0.178297 O b'lemma:fructose'
-0.181700 Strain b'postag:NN'
-0.186490 Med b'-1:postag:NN'
-0.190632 O b'-2:lemma:IP'
-0.198455 Supp b'-1:lemma:-lrb-'
-0.208745 O b'-1:lemma:final'
-0.210669 Med b'postag:CD'
-0.211549 O b'lemma:glucose'
-0.214880 O b'-2:lemma:pahse'
-0.215158 O b'-2:postag::'
-0.218218 O b'-1:lemma:0.2'
-0.219180 Supp b'-1:postag:-LRB-'
-0.219569 O b'-1:lemma:1m'
-0.219569 O b'+2:lemma:7.6'
-0.220852 O b'-1:lemma:n2'
-0.222501 O b'-1:lemma:until'
-0.222521 Supp b'postag:CC'
-0.222681 Gtype b'-2:postag:CD'
-0.225491 O b'-2:lemma:a'
-0.225642 O b'+1:postag:IN'
-0.238241 O b'+2:lemma:tag'
-0.239847 Phase b'+1:postag:NN'
-0.245822 O b'+1:lemma:culture'
-0.245990 O b'+2:lemma:-rrb-'
-0.251435 O b'-2:lemma:2'
-0.259209 Supp b'+2:lemma:glucose'
-0.263857 O b'-1:lemma:contain'
-0.266029 O b'+2:lemma:.'
-0.266029 O b'+2:postag:.'
-0.272384 O b'-1:postag:IN'
-0.280150 O b'lemma:methanol'
-0.280150 O b'-2:lemma:dissolve'
-0.280766 Supp b'-2:postag:NNS'
-0.281284 O b'+1:lemma:dissolve'
-0.282125 O b'lemma:nitrogen'
-0.286106 Air b'+2:postag:IN'
-0.286614 Vess b'postag:NN'
-0.290771 Supp b'+1:postag:VBN'
-0.294029 O b'lemma:dissolve'
-0.294029 O b'+2:lemma:methanol'
-0.308167 O b'-2:lemma:mm'
-0.308179 O b'+1:postag:VBG'
-0.309130 O b'-1:postag::'
-0.311264 O b'+1:lemma:%'
-0.314557 Med b'+1:postag:NN'
-0.317091 O b'lemma:ph'
-0.319094 O b'-2:lemma:anaerobically'
-0.325470 Supp b'+1:lemma:acetate'
-0.329167 O b'-1:lemma:\xe2\x88\x86'
-0.329997 O b'-2:lemma:rpob'
-0.330702 Med b'-1:postag:CD'
-0.340266 Supp b'-2:lemma:treat'
-0.352446 Med b'+1:postag:IN'
-0.354861 O b'-1:lemma:dfnr'
-0.355419 Supp b'+1:postag:-RRB-'
-0.355421 O b'+1:lemma:m'
-0.357278 O b'+1:lemma:minimal'
-0.359465 Supp b'+2:lemma:-rrb-'
-0.367414 O b'-1:lemma:minimal'
-0.370003 O b'+2:lemma:reference'
-0.379815 Med b'+2:postag:VBN'
-0.383359 O b'lemma:k-12'
-0.387499 O b'-1:lemma:ml'
-0.388508 O b'lemma:minimal'
-0.388706 O b'+2:lemma:at'
-0.392682 O b'-1:lemma:iptg'
-0.399575 O b'-2:lemma:phase'
-0.400445 O b'+1:lemma:supplement'
-0.404432 Supp b'+2:postag:-RRB-'
-0.408454 O b'-1:lemma:cra'
-0.419658 Gtype b'-2:lemma:\xe2\x88\x86'
-0.425412 Supp b'+1:lemma:rifampicin'
-0.430592 O b'-1:lemma:37'
-0.432588 O b'-2:lemma:genome'
-0.439826 Supp b'+1:postag:NNS'
-0.440081 O b'lemma:37'
-0.442882 O b'lemma:fecl2'
-0.451777 Air b'-1:postag:JJ'
-0.458476 O b'-1:lemma:grow'
-0.465492 Anti b'+2:postag:JJ'
-0.467044 Supp b'-1:postag:NNP'
-0.467062 O b'-2:lemma:glucose'
-0.469267 O b'-2:lemma:aerobically'
-0.471301 O b'+2:lemma:250'
-0.471705 O b'+1:lemma:1m'
-0.471705 O b'-2:lemma:vol'
-0.473531 O b'-1:lemma:fresh'
-0.492301 O b'+1:lemma:mm'
-0.515099 O b'-2:lemma:dpd'
-0.521569 O b'-1:lemma:dissolve'
-0.521569 O b'+1:lemma:methanol'
-0.529190 Med b'-2:postag:VBN'
-0.533536 O b'+2:lemma:10'
-0.541211 O b'lemma:\xe2\x88\x86'
-0.552068 O b'+2:lemma:a'
-0.552946 O b'-2:lemma:supplement'
-0.553876 O b'lemma:nh4cl'
-0.558873 O b'+1:lemma:g/l'
-0.583192 O b'-2:postag:RB'
-0.602995 O b'-2:lemma:fresh'
-0.607129 Anti b'+1:lemma:anti-fur'
-0.616470 O b'-2:lemma:until'
-0.622508 Supp b'+1:lemma:-lrb-'
-0.633942 O b'-1:lemma:co2'
-0.644305 O b'-1:lemma:mm'
-0.657904 Supp b'+1:lemma:,'
-0.657904 Supp b'+1:postag:,'
-0.660633 Supp b'+1:postag:-LRB-'
-0.666254 O b'lemma:aerobically'
-0.675920 O b'+2:lemma:add'
-0.696030 O b'-2:lemma::'
-0.728447 O b'lemma:anaerobically'
-0.729069 Supp b'-2:postag:JJ'
-0.750640 O b'lemma:mid-log'
-0.757698 O b'+1:lemma:until'
-0.764380 O b'-1:lemma:2'
-0.774540 pH b'postag:NN'
-0.777219 O b'-2:postag:DT'
-0.791258 O b'+1:lemma:+'
-0.799398 O b'-1:lemma:vol'
-0.799398 O b'-2:lemma:1/100'
-0.799398 O b'+2:lemma:1m'
-0.804358 O b'-2:lemma:media'
-0.826814 O b'lemma:2h'
-0.826814 O b'-1:lemma:additional'
-0.844528 O b'+2:lemma:then'
-0.848644 O b'postag:VBP'
-0.866499 O b'-1:lemma:rpob'
-0.908725 O b'lemma:nitrate'
-0.909674 O b'+1:lemma:2.0'
-0.916868 Air b'+1:postag:JJ'
-0.918767 O b'+2:postag:-RRB-'
-0.919409 O b'-2:postag:SYM'
-0.963818 O b'lemma:media'
-0.964473 O b'-1:lemma:30'
-0.973816 O b'lemma:aerobic'
-0.982445 O b'+2:lemma:mid-log'
-0.988785 Air b'postag:NN'
-0.998382 Med b'-2:lemma:grow'
-1.008737 O b'lemma:wt'
-1.010487 O b'-1:lemma:ph'
-1.024124 O b'+2:lemma:b'
-1.040129 Temp b'postag:NN'
-1.057545 O b'+2:lemma:+'
-1.108476 O b'-2:lemma:0.3'
-1.115369 O b'-1:lemma:1'
-1.147864 O b'+2:lemma:fnr'
-1.151725 O b'lemma:rifampicin'
-1.174456 Anti b'+2:lemma:polyclonal'
-1.209398 O b'+1:lemma:at'
-1.221671 Phase b'-1:postag:JJ'
-1.225571 O b'+1:lemma:in'
-1.265681 O b'lemma:30'
-1.278429 O b'-1:lemma:nsrr'
-1.300006 O b'lemma:of'
-1.305228 O b'-2:lemma:rifampicin'
-1.327520 Phase b'postag:JJ'
-1.341460 Gtype b'+2:lemma:cra'
-1.349031 O b'-1:lemma:sample'
-1.354421 OD b'+1:postag:NN'
-1.384060 Supp b'+2:postag:CD'
-1.402439 Supp b'+2:lemma:1'
-1.421354 Supp b'postag:JJ'
-1.452090 Supp b'+2:lemma:2'
-1.469017 Supp b'+2:lemma:fructose'
-1.483051 O b'lemma:\xce\xb4fur'
-1.497875 O b'-1:postag:VBG'
-1.616380 O b'+2:lemma:rifampicin'
-1.618848 OD b'+2:lemma:aerobically'
-1.638433 O b'lemma:0.3'
-1.688434 O b'-1:lemma:IP'
-1.782473 Gtype b'postag:VBG'
-1.872064 Anti b'postag:NNP'
-2.074764 O b'+1:lemma:1'
-2.613257 O b'+1:lemma:2'
-3.621417 O b'-1:lemma::'
-4.047765 O b'-1:lemma:_'
********** TRAINING AND TESTING REPORT **********
Training file: training-data-set-70.txt
best params:{'c1': 0.1226651147490872, 'c2': 0.0059614661118123965}
best CV score:0.8803342557712798
model size: 0.09M
Flat F1: 0.7870322428727526
precision recall f1-score support
OD 0.720 0.818 0.766 22
pH 1.000 1.000 1.000 8
Technique 1.000 1.000 1.000 23
Med 1.000 0.962 0.981 53
Temp 0.857 0.828 0.842 29
Vess 1.000 1.000 1.000 1
Agit 0.000 0.000 0.000 0
Phase 0.882 1.000 0.938 15
Air 0.556 0.362 0.439 69
Anti 1.000 1.000 1.000 11
Strain 0.000 0.000 0.000 1
Gtype 0.878 0.847 0.862 85
Substrain 0.000 0.000 0.000 0
Supp 0.703 0.813 0.754 134
Gversion 0.000 0.000 0.000 0
avg / total 0.792 0.792 0.787 451
Top likely transitions:
Agit -> Agit 6.546314
Temp -> Temp 6.273908
Med -> Med 5.505671
OD -> OD 5.123355
Supp -> Supp 4.942859
Gversion -> Gversion 4.729429
Anti -> Anti 4.720916
O -> O 4.426960
Technique -> Technique 4.406068
Phase -> Phase 4.280949
Gtype -> Gtype 3.891716
Air -> Air 3.810675
pH -> pH 2.819825
O -> Technique 1.044775
Substrain -> Gtype 0.705848
Air -> O 0.556302
O -> Supp 0.379959
O -> Gtype 0.375188
Gtype -> Supp 0.243828
Temp -> O 0.177380
Supp -> O 0.169874
Med -> O 0.125191
O -> Anti 0.110740
Technique -> Air 0.060678
Phase -> O 0.013007
O -> Phase 0.000798
Gtype -> Air 0.000572
Gversion -> O -0.000102
Technique -> pH -0.016599
O -> OD -0.024272
O -> Med -0.119569
Supp -> Technique -0.216815
OD -> O -0.243487
Gtype -> Technique -0.497025
Technique -> O -0.605664
O -> Air -0.748418
Gtype -> Med -0.888115
Gtype -> O -1.060047
Substrain -> O -1.304321
Med -> Supp -2.225828
Top unlikely transitions:
Agit -> Agit 6.546314
Temp -> Temp 6.273908
Med -> Med 5.505671
OD -> OD 5.123355
Supp -> Supp 4.942859
Gversion -> Gversion 4.729429
Anti -> Anti 4.720916
O -> O 4.426960
Technique -> Technique 4.406068
Phase -> Phase 4.280949
Gtype -> Gtype 3.891716
Air -> Air 3.810675
pH -> pH 2.819825
O -> Technique 1.044775
Substrain -> Gtype 0.705848
Air -> O 0.556302
O -> Supp 0.379959
O -> Gtype 0.375188
Gtype -> Supp 0.243828
Temp -> O 0.177380
Supp -> O 0.169874
Med -> O 0.125191
O -> Anti 0.110740
Technique -> Air 0.060678
Phase -> O 0.013007
O -> Phase 0.000798
Gtype -> Air 0.000572
Gversion -> O -0.000102
Technique -> pH -0.016599
O -> OD -0.024272
O -> Med -0.119569
Supp -> Technique -0.216815
OD -> O -0.243487
Gtype -> Technique -0.497025
Technique -> O -0.605664
O -> Air -0.748418
Gtype -> Med -0.888115
Gtype -> O -1.060047
Substrain -> O -1.304321
Med -> Supp -2.225828
Top positive:
7.575252 O b'lemma:2'
6.809640 Air b'word[:2]:Ae'
6.662167 O b'lemma:1'
6.403734 O b'word[:2]:re'
6.054204 Anti b'-2:lemma:antibody'
5.739687 O b'lemma:3'
5.489244 Gtype b'word[:1]:\xce\x94'
5.302961 Technique b'word[:2]:Ch'
5.137089 O b'-2:lemma:_'
5.097720 O b'lemma:with'
4.688056 Air b'word[:2]:An'
4.594330 O b'lemma:-'
4.473065 Substrain b'word[:2]:MG'
4.408720 Phase b'-2:lemma:phase'
4.331788 O b'postag:IN'
4.219811 O b'lemma:a'
4.171346 Air b'lemma:anaerobic'
4.154474 Phase b'lemma:mid-log'
4.118404 Gtype b'-1:lemma:\xe2\x88\x86'
4.098792 O b'postag:CC'
4.072045 O b'-1:lemma:tag'
3.984012 O b'+2:lemma:\xc2\xb0c'
3.862377 O b'lemma:.'
3.862377 O b'postag:.'
3.844935 O b'+2:lemma:cra'
3.743179 Gversion b'lemma:chip-seq'
3.675544 O b'postag:VBN'
3.627422 Supp b'lemma:arginine'
3.618052 O b'lemma:_'
3.618052 O b'word[:1]:_'
3.608645 Supp b'word[:2]:ni'
3.520948 Technique b'word[:2]:RN'
3.500782 Supp b'-1:lemma:Cra'
3.401140 Air b'postag:RB'
3.388544 Gtype b'lemma:type'
3.388544 Gtype b'word[:2]:ty'
3.357883 Med b'lemma:MOPS'
3.357883 Med b'word[:2]:MO'
3.356317 Supp b'+1:lemma:\xc2\xb5m'
3.344199 O b'-2:lemma:medium'
3.257816 Supp b'lemma:Iron'
3.257816 Supp b'word[:2]:Ir'
3.257816 Supp b'-2:lemma:Anaerobic'
3.226031 Supp b'+2:lemma:iptg'
3.178102 Supp b'-1:lemma:with'
3.157084 Gtype b'word[:2]:Fl'
3.102194 O b'word[:1]:G'
3.053652 O b'-1:lemma:anaerobic'
3.026889 O b'word[:2]:ge'
2.969238 Med b'+2:postag:CC'
2.948927 O b'-1:lemma:\xc2\xb0c'
2.927664 O b'-1:lemma:glucose'
2.925690 O b'+1:lemma:pq'
2.916048 O b'-1:lemma:0.3'
2.909720 Gtype b'lemma:wt'
2.897608 Supp b'lemma:acetate'
2.896988 O b'-1:lemma:lb'
2.865201 Temp b'-1:lemma:sample'
2.856196 Gtype b'-2:lemma:genotype/variation'
2.769228 Supp b'word[:1]:I'
2.666120 O b'word[:1]:S'
2.649328 Supp b'+1:lemma:1'
2.649075 Gtype b'-2:lemma:delta'
2.642282 pH b'word[:2]:pH'
2.634945 Anti b'+1:lemma:antibody'
2.626979 Strain b'+1:lemma:substr'
2.626979 Strain b'-2:lemma:str'
2.616241 Gtype b'word[:1]:d'
2.594465 O b'postag::'
2.590957 O b'word[:2]:Cr'
2.572107 O b'word[:1]:B'
2.554486 Phase b'word[:2]:ex'
2.536212 O b'-1:lemma:media'
2.524774 Anti b'+2:lemma:antibody'
2.488471 O b'-2:lemma:myc'
2.482474 Supp b'lemma:nacl'
2.459061 O b'word[:2]:ha'
2.450073 Supp b'-1:postag:CC'
2.444363 Gtype b'word[:1]:W'
2.438081 Supp b'-1:lemma:+'
2.395443 Supp b'word[:2]:Fe'
2.329329 Supp b'lemma:pq'
2.329329 Supp b'word[:2]:PQ'
2.326544 Med b'word[:1]:M'
2.324335 O b'+1:postag:RB'
2.306092 Substrain b'word[:1]:M'
2.304851 Air b'word[:1]:A'
2.293822 Phase b'-2:lemma:until'
2.252925 Gtype b'word[:2]:PK'
2.249470 Gtype b'-2:postag:DT'
2.241387 O b'word[:1]:R'
2.215324 Gtype b'lemma:nsrr'
2.215324 Gtype b'word[:2]:Ns'
2.215274 OD b'word[:1]:O'
2.191687 O b'postag:DT'
2.188516 Supp b'-2:lemma:induce'
2.177885 Supp b'+2:lemma:rifampicin'
2.164470 Supp b'lemma:fructose'
2.153102 Phase b'lemma:stationary'
2.149132 O b'lemma:0.4'
2.135722 O b'lemma:b'
2.124012 Supp b'+1:lemma:2'
2.122572 O b'postag:VBD'
2.116686 O b'lemma:purr'
2.085879 O b'+1:lemma:arca-8myc'
2.083414 O b'+1:postag:NNP'
2.075593 O b'lemma:growth'
2.055319 Gtype b'lemma:\xe2\x88\x86'
2.055319 Gtype b'word[:1]:\xe2\x88\x86'
2.048280 Med b'word[:1]:L'
2.012888 Temp b'-2:lemma:\xcf\x8332'
2.007442 Supp b'-2:lemma:for'
2.006901 O b'lemma:argr'
2.005941 O b'word[:2]:Rp'
1.980113 O b'-1:lemma:aerobically'
1.969163 O b'word[:1]:c'
1.964013 Supp b'lemma:Leu'
1.964013 Supp b'word[:2]:Le'
1.964013 Supp b'-2:lemma:Lrp'
1.955566 Temp b'-2:lemma:30'
1.937909 Gtype b'lemma:flag-tag'
1.937909 Gtype b'-1:lemma:c-terminal'
1.931820 Med b'+2:lemma:b2'
1.926115 Gtype b'word[:1]:F'
1.924551 Supp b'word[:2]:gl'
1.923659 Gtype b'-1:lemma:vector'
1.919359 Temp b'lemma:43'
1.919359 Temp b'word[:2]:43'
1.905770 Gtype b'+2:lemma:glucose'
1.901138 Temp b'-1:lemma:\xcf\x8332'
1.896040 Air b'+1:postag:IN'
1.895113 Technique b'word[:1]:R'
1.891367 O b'+1:lemma:250'
1.890079 O b'+2:lemma:70'
1.889582 Supp b'-2:lemma:media'
1.886753 O b'-1:lemma:Aerobic'
1.881608 O b'word[:2]:In'
1.873786 O b'-2:lemma:fructose'
1.861532 O b'word[:2]:Cu'
1.859000 O b'-2:lemma:ChIP-Seq'
1.840363 Temp b'+2:postag:DT'
1.822321 Gtype b'-1:lemma:rpob'
1.816828 Temp b'-1:lemma:43'
1.814588 O b'word[:1]:-'
1.800198 O b'lemma:ompr'
1.800198 O b'word[:2]:Om'
1.797377 Temp b'word[:1]:3'
1.790537 Gtype b'+1:lemma:type'
1.781626 Supp b'-2:lemma:agent'
1.776197 O b'lemma:harbor'
1.766609 Med b'+1:lemma:0.4'
1.759749 O b'-2:lemma:\xe2\x88\x86'
1.755643 Supp b'word[:2]:ac'
1.740069 Med b'lemma:broth'
1.740069 Med b'-1:lemma:L'
1.740069 Med b'word[:2]:br'
1.738945 Supp b'-1:lemma:_'
1.738689 Phase b'-1:lemma:mid-log'
1.736794 O b'lemma:ml'
1.736794 O b'word[:2]:ml'
1.723796 O b'+2:postag:JJ'
1.674359 O b'+1:lemma:mid-log'
1.669011 O b'-1:postag:NNS'
1.668164 O b'postag:VBG'
1.662173 O b'+1:lemma:od600'
1.661476 Supp b'-1:lemma:final'
1.654403 Supp b'lemma:rifampicin'
1.652994 Gtype b'word[:1]:w'
1.648808 pH b'word[:1]:p'
1.646604 O b'word[:2]:Pu'
1.633654 O b'+2:lemma:fructose'
1.630978 Supp b'word[:2]:ri'
1.623384 Gtype b'+1:lemma:with'
1.614375 Supp b'lemma:Adenine'
1.614375 Supp b'word[:2]:Ad'
1.596390 O b'lemma:at'
1.588885 Med b'lemma:L'
1.588885 Med b'+1:lemma:broth'
1.583682 O b'-2:postag:FW'
1.554727 Supp b'-2:lemma:supplement'
1.549286 O b'word[:2]:ch'
1.545587 O b'-1:lemma:type'
1.543468 Gtype b'-2:lemma:genotype'
1.542533 Med b'+2:lemma:b1'
1.538337 O b'+1:lemma:chip-seq'
1.537052 Gtype b'word[:2]:WT'
1.520544 Air b'word[:1]:a'
1.520380 Gtype b'hGreek'
1.520335 O b'lemma:A'
1.516773 Air b'-2:lemma:%'
1.514240 Supp b'lemma:no3'
1.514240 Supp b'word[:2]:NO'
1.492873 Gversion b'lemma:.2'
1.492873 Gversion b'-1:lemma:u00096'
1.492873 Gversion b'word[:2]:.2'
1.488140 O b'+2:lemma:allow'
1.476148 O b'word[:1]:h'
1.475371 Supp b'-1:lemma:vol'
1.475371 Supp b'-2:lemma:1/100'
1.475371 Supp b'+2:lemma:1m'
Top negative:
-0.162054 Phase b'-2:postag:NN'
-0.163078 Gtype b'word[:1]:-'
-0.164615 Supp b'+2:lemma:glucose'
-0.165684 O b'-1:lemma:30'
-0.169375 Supp b'+1:postag:-RRB-'
-0.170442 Med b'+1:postag:IN'
-0.172422 O b'+1:postag:-RRB-'
-0.174439 O b'word[:2]:ae'
-0.175236 Supp b'-2:postag:-LRB-'
-0.177435 Temp b'hGreek'
-0.181562 O b'lemma:of'
-0.181562 O b'word[:2]:of'
-0.184084 O b'+1:lemma:-rrb-'
-0.189656 O b'+2:lemma:at'
-0.190247 O b'word[:2]:0.'
-0.194061 O b'+2:lemma:until'
-0.195801 O b'-2:postag:SYM'
-0.202103 O b'-1:lemma:0.2'
-0.203062 O b'-2:lemma:30'
-0.203787 Supp b'+2:postag:NNP'
-0.211804 O b'lemma:co2'
-0.211804 O b'word[:2]:CO'
-0.213063 O b'-2:lemma:2'
-0.216419 O b'-1:lemma:until'
-0.216729 O b'lemma:1m'
-0.216729 O b'word[:2]:1M'
-0.221397 O b'-2:lemma:genome'
-0.225533 Air b'+2:lemma:95'
-0.228195 O b'-1:lemma:g/l'
-0.228754 Supp b'+2:lemma:-rrb-'
-0.236812 O b'-1:lemma:iptg'
-0.242981 O b'-2:lemma:10'
-0.249890 Supp b'+2:postag:-RRB-'
-0.253101 Supp b'-1:postag:NNP'
-0.254872 O b'word[:1]:2'
-0.258890 Supp b'-1:lemma:-lrb-'
-0.259217 O b'-1:lemma:minimal'
-0.261201 O b'-2:postag:-LRB-'
-0.263028 O b'+1:lemma:phosphate'
-0.263082 O b'lemma:methanol'
-0.263082 O b'-2:lemma:dissolve'
-0.269144 O b'+1:lemma:.'
-0.269144 O b'+1:postag:.'
-0.271418 O b'+1:lemma:1/100'
-0.271418 O b'-2:lemma:sodium'
-0.271418 O b'+2:lemma:vol'
-0.272080 Temp b'postag:NN'
-0.277250 O b'lemma:nitrate'
-0.277269 O b'-2:lemma:phase'
-0.280720 O b'word[:2]:Fe'
-0.292805 O b'-1:lemma:control'
-0.294148 Gtype b'word[:1]:h'
-0.311048 Gversion b'-1:postag:NN'
-0.314490 Med b'+2:postag:VBN'
-0.322935 Supp b'lemma:10'
-0.323427 O b'-2:lemma:anaerobically'
-0.325607 O b'word[:2]:OD'
-0.329365 O b'lemma:media'
-0.333354 O b'-2:lemma:at'
-0.333503 O b'lemma:wt'
-0.333755 O b'-2:lemma:aerobically'
-0.335336 OD b'hUpper'
-0.335336 OD b'hLower'
-0.335952 O b'lemma:aerobically'
-0.338742 O b'word[:1]:K'
-0.340286 O b'+2:lemma:-rrb-'
-0.344360 Supp b'-1:postag:-LRB-'
-0.350896 O b'-1:lemma:of'
-0.352645 Med b'-2:postag:IN'
-0.354858 O b'-1:lemma:1m'
-0.354858 O b'+2:lemma:7.6'
-0.372252 Supp b'symb'
-0.378465 O b'word[:2]:ri'
-0.381134 Phase b'+1:postag:NN'
-0.384639 O b'-2:lemma:pahse'
-0.391314 O b'+1:lemma:1m'
-0.391314 O b'-2:lemma:vol'
-0.397247 O b'-1:lemma:sodium'
-0.397247 O b'+2:lemma:1/100'
-0.409851 O b'+1:lemma:supplement'
-0.413141 O b'-1:lemma:37'
-0.413339 O b'lemma:rifampicin'
-0.414986 O b'+2:lemma:10'
-0.415120 O b'+1:lemma:+'
-0.416764 O b'+2:lemma:ph'
-0.432602 O b'word[:1]:F'
-0.434646 Med b'-1:postag:NN'
-0.435221 O b'-1:lemma:dissolve'
-0.435221 O b'+1:lemma:methanol'
-0.438173 Anti b'+2:postag:JJ'
-0.438380 O b'lemma:30'
-0.438561 O b'lemma:2h'
-0.438561 O b'-1:lemma:additional'
-0.438561 O b'word[:2]:2h'
-0.438599 Gtype b'+1:lemma:-rrb-'
-0.448423 O b'lemma:sodium'
-0.448756 O b'+1:lemma:_'
-0.449001 Supp b'-2:postag:JJ'
-0.453606 O b'word[:1]:0'
-0.454508 O b'-2:postag:DT'
-0.456094 O b'-2:lemma:dpd'
-0.459173 O b'-2:lemma:supplement'
-0.461268 O b'word[:2]:gl'
-0.474879 Anti b'+2:lemma:polyclonal'
-0.477585 O b'lemma:anaerobically'
-0.477773 Supp b'+1:postag:NNS'
-0.479099 O b'-1:lemma:IP'
-0.482821 Supp b'word[:2]:an'
-0.485864 O b'+1:lemma:g/l'
-0.488474 O b'-2:lemma:IP'
-0.491811 Gtype b'postag:VBG'
-0.492017 O b'-1:lemma:\xe2\x88\x86'
-0.495222 O b'+2:postag:-RRB-'
-0.498620 Anti b'+1:lemma:anti-fur'
-0.499738 Med b'symb'
-0.502087 O b'+2:lemma:tag'
-0.520791 O b'+2:lemma:add'
-0.549562 O b'-1:lemma:mm'
-0.588913 O b'+1:lemma:until'
-0.589527 O b'word[:2]:pH'
-0.594102 O b'+2:lemma:.'
-0.594102 O b'+2:postag:.'
-0.605760 O b'-1:lemma:ph'
-0.618761 Agit b'symb'
-0.622723 O b'-2:postag::'
-0.638337 Agit b'hUpper'
-0.638337 Agit b'hLower'
-0.641043 Supp b'word[:1]:C'
-0.660369 O b'lemma:mid-log'
-0.661070 O b'+1:lemma:mm'
-0.661103 O b'word[:2]:mg'
-0.665736 O b'+1:lemma:2.0'
-0.668595 O b'word[:2]:ni'
-0.678332 O b'-1:lemma:rpob'
-0.688468 O b'-1:lemma:nsrr'
-0.704290 Supp b'+1:lemma:-lrb-'
-0.704703 Gtype b'+2:lemma:cra'
-0.711182 Med b'-2:postag:VBN'
-0.719312 O b'+2:lemma:a'
-0.720089 O b'-1:lemma:grow'
-0.723645 Supp b'+1:postag:-LRB-'
-0.729817 O b'-2:lemma:glucose'
-0.736832 O b'word[:2]:me'
-0.752358 O b'-2:lemma:until'
-0.753413 O b'-2:postag:RB'
-0.757806 Air b'-1:postag:JJ'
-0.783439 Supp b'+1:lemma:,'
-0.783439 Supp b'+1:postag:,'
-0.848095 O b'-2:lemma::'
-0.852042 O b'-1:lemma:final'
-0.866705 Air b'postag:NN'
-0.881470 O b'+2:lemma:mid-log'
-0.881613 O b'-1:postag::'
-0.885739 OD b'+1:postag:NN'
-0.896826 O b'+2:lemma:+'
-0.916693 O b'postag:RB'
-0.920471 O b'-1:lemma:co2'
-0.941388 Supp b'+2:postag:CD'
-0.944176 O b'word[:2]:fl'
-0.945676 Supp b'postag:JJ'
-0.952271 O b'+1:postag:IN'
-0.963704 Gtype b'word[:1]:C'
-0.984734 O b'postag:VBP'
-1.006778 O b'word[:1]:d'
-1.044447 Phase b'hUpper'
-1.044447 Phase b'hLower'
-1.052063 O b'+2:lemma:fnr'
-1.114096 O b'-1:lemma:cra'
-1.134157 O b'+1:lemma:at'
-1.135934 Supp b'+2:lemma:fructose'
-1.208365 O b'-1:lemma:vol'
-1.208365 O b'-2:lemma:1/100'
-1.208365 O b'+2:lemma:1m'
-1.221260 O b'+2:lemma:then'
-1.299098 O b'-1:lemma:1'
-1.312469 Phase b'-1:postag:JJ'
-1.321864 O b'-2:lemma:0.3'
-1.350629 O b'word[:1]:N'
-1.379890 Med b'-2:lemma:grow'
-1.438599 O b'+1:lemma:in'
-1.474734 Technique b'postag:NN'
-1.506938 O b'lemma:0.3'
-1.612245 O b'-2:lemma:media'
-1.629029 Supp b'+2:lemma:2'
-1.633213 O b'-1:lemma:2'
-1.647783 O b'+2:lemma:rifampicin'
-1.680381 O b'-1:postag:VBG'
-1.728533 Anti b'postag:NNP'
-1.775531 O b'word[:2]:30'
-1.801903 Supp b'+2:lemma:1'
-1.869306 O b'-2:lemma:rifampicin'
-2.061187 O b'-1:lemma:sample'
-2.202629 Phase b'postag:JJ'
-2.454625 O b'word[:2]:Ch'
-2.471569 O b'word[:1]:P'
-2.513568 O b'+1:lemma:1'
-2.695155 OD b'+2:lemma:aerobically'
-3.362641 O b'+1:lemma:2'
-4.267606 O b'-1:lemma::'
-5.439386 O b'-1:lemma:_'
********** TRAINING AND TESTING REPORT **********
Training file: training-data-set-70.txt
best params:{'c1': 0.08021472274752509, 'c2': 0.027005041681951836}
best CV score:0.8779980427772918
model size: 0.14M
Flat F1: 0.7956040707847014
precision recall f1-score support
OD 1.000 0.818 0.900 22
pH 1.000 1.000 1.000 8
Technique 1.000 0.913 0.955 23
Med 1.000 0.943 0.971 53
Temp 0.923 0.828 0.873 29
Vess 1.000 1.000 1.000 1
Agit 0.000 0.000 0.000 0
Phase 0.882 1.000 0.938 15
Air 0.556 0.362 0.439 69
Anti 1.000 1.000 1.000 11
Strain 0.000 0.000 0.000 1
Gtype 0.882 0.882 0.882 85
Substrain 0.000 0.000 0.000 0
Supp 0.713 0.799 0.754 134
Gversion 0.000 0.000 0.000 0
avg / total 0.814 0.787 0.796 451
Top likely transitions:
Temp -> Temp 5.388784
OD -> OD 5.140817
Agit -> Agit 5.132255
Med -> Med 4.721438
Supp -> Supp 4.664079
Anti -> Anti 4.454963
Phase -> Phase 4.208793
Gtype -> Gtype 4.106042
Gversion -> Gversion 3.988002
O -> O 3.877714
Air -> Air 3.520636
Technique -> Technique 3.339322
pH -> pH 2.756365
Substrain -> Gtype 1.679774
O -> Technique 0.976956
Gtype -> Supp 0.888340
O -> Gtype 0.667038
Gtype -> Air 0.494333
O -> Supp 0.432374
Gtype -> pH 0.400152
Air -> O 0.329339
Technique -> Air 0.314540
Temp -> O 0.185583
Med -> O 0.110105
Supp -> O 0.051605
O -> Temp 0.006740
O -> Phase -0.001639
pH -> Supp -0.012353
Med -> Air -0.021759
Air -> Agit -0.033843
Phase -> Air -0.037477
Anti -> Supp -0.046737
O -> Agit -0.058265
Vess -> O -0.085300
Gversion -> O -0.093271
Supp -> Gtype -0.153393
Supp -> Air -0.154232
Gversion -> Supp -0.158359
OD -> Supp -0.173307
Agit -> Air -0.179206
Phase -> O -0.181634
Anti -> O -0.199623
Phase -> OD -0.205312
O -> OD -0.243252
Gtype -> Anti -0.275895
Agit -> O -0.297460
OD -> Air -0.307988
Technique -> pH -0.314407
OD -> O -0.327494
Technique -> O -0.386077
Top unlikely transitions:
pH -> pH 2.756365
Substrain -> Gtype 1.679774
O -> Technique 0.976956
Gtype -> Supp 0.888340
O -> Gtype 0.667038
Gtype -> Air 0.494333
O -> Supp 0.432374
Gtype -> pH 0.400152
Air -> O 0.329339
Technique -> Air 0.314540
Temp -> O 0.185583
Med -> O 0.110105
Supp -> O 0.051605
O -> Temp 0.006740
O -> Phase -0.001639
pH -> Supp -0.012353
Med -> Air -0.021759
Air -> Agit -0.033843
Phase -> Air -0.037477
Anti -> Supp -0.046737
O -> Agit -0.058265
Vess -> O -0.085300
Gversion -> O -0.093271
Supp -> Gtype -0.153393
Supp -> Air -0.154232
Gversion -> Supp -0.158359
OD -> Supp -0.173307
Agit -> Air -0.179206
Phase -> O -0.181634
Anti -> O -0.199623
Phase -> OD -0.205312
O -> OD -0.243252
Gtype -> Anti -0.275895
Agit -> O -0.297460
OD -> Air -0.307988
Technique -> pH -0.314407
OD -> O -0.327494
Technique -> O -0.386077
O -> Med -0.415206
Phase -> Supp -0.417896
Gtype -> Technique -0.431421
Air -> Supp -0.649044
Supp -> Med -0.707950
Gtype -> Med -0.744940
Air -> Med -0.785274
Gtype -> O -0.922070
O -> Air -0.953447
Technique -> Gtype -1.117886
Substrain -> O -1.261444
Med -> Supp -1.996253
Top positive:
5.209266 Anti b'-2:lemma:antibody'
4.636548 Air b'word:Aerobic'
4.563533 O b'-2:lemma:_'
3.873699 Air b'lemma:anaerobic'
3.819274 Technique b'word:ChIP-Seq'
3.473174 Air b'postag:RB'
3.322114 Gtype b'-2:lemma:genotype/variation'
3.225119 O b'lemma:_'
3.225119 O b'word:_'
3.207626 O b'word:Cra'
3.196439 O b'lemma:2'
3.196439 O b'word:2'
3.188154 O b'postag:IN'
3.118289 Phase b'-2:lemma:phase'
3.010588 O b'lemma:1'
3.010588 O b'word:1'
2.977143 O b'-1:lemma:ChIP-exo'
2.908964 Technique b'word:ChIP-exo'
2.879517 Technique b'lemma:rna-seq'
2.849540 Supp b'lemma:pq'
2.849540 Supp b'word:PQ'
2.843713 Gtype b'lemma:wild-type'
2.797382 O b'-2:lemma:flagtag'
2.727206 Gtype b'-2:lemma:genotype'
2.725314 Supp b'lemma:nh4cl'
2.719430 Technique b'word:ChIPSeq'
2.689034 O b'postag::'
2.685688 Supp b'-1:word:Cra'
2.678793 Air b'word:Anaerobic'
2.665007 Gtype b'word:WT'
2.645459 Gtype b'lemma:wt'
2.625521 Technique b'lemma:ChIP-exo'
2.608931 O b'lemma:.'
2.608931 O b'postag:.'
2.608931 O b'word:.'
2.573935 Gtype b'lemma:type'
2.573935 Gtype b'word:type'
2.549931 O b'-2:lemma:medium'
2.537319 O b'lemma:3'
2.537319 O b'word:3'
2.427062 O b'+1:postag:RB'
2.424260 O b'lemma:-'
2.424260 O b'word:-'
2.419048 Gtype b'-2:lemma:affyexp'
2.394367 Phase b'lemma:mid-log'
2.394367 Phase b'word:mid-log'
2.378379 O b'lemma:rpob'
2.378379 O b'word:RpoB'
2.361578 Supp b'+2:lemma:iptg'
2.347760 Gtype b'lemma:\xce\xb4cra'
2.343560 Gtype b'word:\xce\x94cra'
2.293225 Gtype b'-2:postag:DT'
2.263496 O b'postag:VBN'
2.203079 Supp b'lemma:Iron'
2.203079 Supp b'word:Iron'
2.203079 Supp b'+1:word:Deficient'
2.203079 Supp b'-2:lemma:Anaerobic'
2.187753 O b'+2:lemma:\xc2\xb0c'
2.174225 Technique b'lemma:chipseq'
2.117805 Med b'lemma:MOPS'
2.117805 Med b'word:MOPS'
2.105813 O b'lemma:b'
2.105813 O b'word:B'
2.071927 Supp b'lemma:acetate'
2.071927 Supp b'word:acetate'
2.071919 Supp b'lemma:no3'
2.071919 Supp b'word:NO3'
2.055002 Supp b'lemma:arginine'
2.035285 O b'word:A'
2.016143 Gtype b'+1:lemma:type'
2.016143 Gtype b'+1:word:type'
2.009171 O b'+2:postag:JJ'
1.999599 Supp b'lemma:nacl'
1.999599 Supp b'word:NaCl'
1.999489 Anti b'+2:lemma:antibody'
1.985618 Gtype b'lemma:\xe2\x88\x86'
1.985618 Gtype b'word:\xe2\x88\x86'
1.978131 Technique b'+2:lemma:ph5'
1.976542 O b'-1:word:Aerobic'
1.941068 pH b'+1:postag:CD'
1.938974 O b'lemma:a'
1.902900 Supp b'-1:lemma:with'
1.902900 Supp b'-1:word:with'
1.901213 Gtype b'-1:lemma:\xe2\x88\x86'
1.901213 Gtype b'-1:word:\xe2\x88\x86'
1.887695 Med b'+2:postag:CC'
1.876457 O b'-1:lemma:tag'
1.873546 Gtype b'-2:lemma:delta'
1.857185 Gtype b'lemma:flag-tag'
1.857185 Gtype b'-1:lemma:c-terminal'
1.857185 Gtype b'word:Flag-tag'
1.857185 Gtype b'-1:word:C-terminal'
1.856146 Air b'lemma:Aerobic'
1.838321 Substrain b'lemma:mg1655'
1.838321 Substrain b'word:MG1655'
1.823456 Technique b'lemma:rnaseq'
1.823456 Technique b'word:RNASeq'
1.808424 O b'postag:CC'
1.786772 Supp b'lemma:glucose'
1.786772 Supp b'word:glucose'
1.780540 O b'-2:lemma:myc'
1.770799 Gversion b'lemma:chip-seq'
1.753973 O b'lemma:ompr'
1.753973 O b'word:OmpR'
1.753471 Supp b'+1:lemma:\xc2\xb5m'
1.753471 Supp b'+1:word:\xc2\xb5M'
1.740692 Air b'word:anaerobic'
1.736806 Gtype b'+2:lemma:glucose'
1.735768 Gversion b'-2:lemma:nc'
1.720567 Substrain b'-2:lemma:substr'
1.719577 Supp b'-1:postag:CC'
1.715683 Gtype b'lemma:\xce\xb4soxr'
1.715683 Gtype b'word:\xce\x94soxR'
1.704129 Technique b'word:RNA-Seq'
1.703347 Gversion b'word:ChIP-Seq'
1.700970 Phase b'lemma:exponential'
1.700970 Phase b'word:exponential'
1.700970 Phase b'lemma:stationary'
1.700970 Phase b'word:stationary'
1.697610 Supp b'lemma:nitrate'
1.697610 Supp b'word:nitrate'
1.694771 Gtype b'lemma:\xce\xb4fur'
1.694771 Gtype b'word:\xce\x94fur'
1.679649 Supp b'-2:lemma:media'
1.678872 O b'postag:VBG'
1.675866 O b'lemma:chip'
1.670928 O b'+1:postag:NNP'
1.665585 O b'lemma:with'
1.665585 O b'word:with'
1.664286 Technique b'-1:lemma:chip-exo'
1.660487 O b'-1:lemma:0.3'
1.660487 O b'-1:word:0.3'
1.652275 Supp b'-1:lemma:Cra'
1.650781 Supp b'lemma:rifampicin'
1.650781 Supp b'word:rifampicin'
1.616567 O b'isLower'
1.615630 O b'-1:lemma:lb'
1.615630 O b'-1:word:LB'
1.611807 Med b'isUpper'
1.602289 O b'lemma:harbor'
1.602289 O b'word:harboring'
1.600482 O b'+1:word:ChIP-Seq'
1.598776 Strain b'+1:lemma:substr'
1.598776 Strain b'+1:word:substr'
1.598776 Strain b'-2:lemma:str'
1.595708 O b'+2:lemma:polyclonal'
1.581382 O b'+2:lemma:70'
1.571652 O b'-1:lemma:anaerobic'
1.571048 O b'+2:lemma:cra'
1.564139 O b'+2:lemma:_'
1.554416 Med b'+2:lemma:b2'
1.552289 O b'-1:word:tag'
1.551146 Gtype b'+1:lemma:with'
1.551146 Gtype b'+1:word:with'
1.544208 O b'+2:lemma:fructose'
1.537359 O b'+1:lemma:arca-8myc'
1.537359 O b'+1:word:ArcA-8myc'
1.532438 Supp b'-2:lemma:agent'
1.511808 O b'lemma:culture'
1.508582 Supp b'lemma:Leu'
1.508582 Supp b'word:Leu'
1.508582 Supp b'-2:lemma:Lrp'
1.507149 O b'-1:lemma:glucose'
1.507149 O b'-1:word:glucose'
1.489396 O b'-1:lemma:media'
1.489396 O b'-1:word:media'
1.479777 Air b'+1:postag:IN'
1.474767 Supp b'-2:lemma:induce'
1.473528 Strain b'lemma:k-12'
1.473528 Strain b'word:K-12'
1.443528 O b'lemma:Cra'
1.442381 Gtype b'-1:postag:VBG'
1.440793 O b'-2:lemma:~'
1.438342 Agit b'lemma:rpm'
1.438342 Agit b'word:rpm'
1.431163 Temp b'isNumber'
1.427166 Temp b'+2:postag:DT'
1.399898 OD b'-1:postag:IN'
1.387409 Gversion b'+2:lemma:000913'
1.386073 Med b'lemma:lb'
1.386073 Med b'word:LB'
1.384321 Gversion b'lemma:nc'
1.384321 Gversion b'word:NC'
1.373722 Air b'lemma:aerobic'
1.373289 O b'+1:lemma:pq'
1.373289 O b'+1:word:PQ'
1.366737 O b'lemma:Custom'
1.366737 O b'word:Custom'
1.358073 Supp b'-2:lemma:for'
1.355336 Supp b'-1:lemma:+'
1.355336 Supp b'-1:word:+'
1.342861 Gtype b'postag:JJ'
1.340505 Temp b'-2:lemma:\xcf\x8332'
1.336886 Phase b'+2:lemma:o.d.'
1.334497 Med b'lemma:media'
1.334497 Med b'word:media'
1.330110 Gtype b'lemma:dfnr'
1.330110 Gtype b'word:dFNR'
1.327344 Gtype b'lemma:pk4854'
1.327344 Gtype b'word:PK4854'
Top negative:
-0.287905 O b'-1:lemma:37'
-0.287905 O b'-1:word:37'
-0.288095 O b'+1:lemma:supplement'
-0.288095 O b'+1:word:supplemented'
-0.289812 Strain b'isLower'
-0.289812 O b'-2:lemma:supplement'
-0.290075 O b'+2:lemma:fnr'
-0.290683 Supp b'-1:postag:-LRB-'
-0.294223 Phase b'+2:postag:NN'
-0.297159 O b'+2:lemma:.'
-0.297159 O b'+2:postag:.'
-0.303489 O b'-2:lemma:nh4cl'
-0.305843 O b'-2:lemma:genome'
-0.308014 O b'-1:lemma:dissolve'
-0.308014 O b'+1:lemma:methanol'
-0.308014 O b'-1:word:dissolved'
-0.308014 O b'+1:word:methanol'
-0.308864 O b'-1:lemma:co2'
-0.308864 O b'-1:word:CO2'
-0.310620 O b'+2:lemma:reference'
-0.315887 Supp b'+2:postag::'
-0.317964 O b'lemma:aerobic'
-0.318575 Gtype b'-1:postag:CD'
-0.321321 O b'lemma:fructose'
-0.321321 O b'word:fructose'
-0.334085 O b'+2:lemma:10'
-0.336754 Phase b'-1:postag:NN'
-0.337443 O b'-2:lemma:rpob'
-0.337566 O b'word:ChIP-exo'
-0.344905 O b'-2:postag:SYM'
-0.349662 O b'lemma:minimal'
-0.349662 O b'word:minimal'
-0.351886 O b'-1:lemma:fresh'
-0.351886 O b'-1:word:fresh'
-0.355535 O b'+2:lemma:-rrb-'
-0.355990 O b'lemma:methanol'
-0.355990 O b'word:methanol'
-0.355990 O b'-2:lemma:dissolve'
-0.358472 Air b'+1:postag:JJ'
-0.363373 O b'+2:lemma:add'
-0.364945 O b'-1:lemma:chip-exo'
-0.366081 O b'-2:lemma:glucose'
-0.368793 O b'lemma:37'
-0.368793 O b'word:37'
-0.373039 O b'-1:lemma:2'
-0.373039 O b'-1:word:2'
-0.381340 O b'+1:lemma:1m'
-0.381340 O b'+1:word:1M'
-0.381340 O b'-2:lemma:vol'
-0.382066 OD b'+2:postag:NN'
-0.389528 O b'+2:lemma:mid-log'
-0.392861 O b'+2:lemma:at'
-0.394964 O b'-1:lemma:ml'
-0.394964 O b'-1:word:ml'
-0.396605 Phase b'-2:postag:NN'
-0.399009 O b'-2:lemma:minimal'
-0.399247 O b'-1:lemma:rpob'
-0.399247 O b'-1:word:RpoB'
-0.401395 O b'lemma:aerobically'
-0.401395 O b'word:aerobically'
-0.404932 Temp b'-2:postag:NN'
-0.407934 Anti b'+1:lemma:anti-fur'
-0.407934 Anti b'+1:word:anti-Fur'
-0.411618 O b'-1:lemma:\xe2\x88\x86'
-0.411618 O b'-1:word:\xe2\x88\x86'
-0.411709 Med b'-1:postag:NN'
-0.413181 O b'-2:lemma:dpd'
-0.420107 O b'-1:postag::'
-0.421275 O b'-2:lemma:pahse'
-0.421606 Phase b'isUpper'
-0.422247 O b'lemma:anaerobic'
-0.423121 O b'-1:lemma:mm'
-0.423121 O b'-1:word:mM'
-0.431573 O b'+1:word:ChIP-exo'
-0.437729 O b'+1:lemma:+'
-0.437729 O b'+1:word:+'
-0.441474 O b'+2:postag:-RRB-'
-0.447120 Supp b'+1:lemma:,'
-0.447120 Supp b'+1:postag:,'
-0.447120 Supp b'+1:word:,'
-0.450941 O b'lemma:nitrogen'
-0.450941 O b'word:nitrogen'
-0.457611 Supp b'+1:lemma:-lrb-'
-0.457611 Supp b'+1:word:-LRB-'
-0.461438 pH b'isUpper'
-0.465061 O b'lemma:anaerobically'
-0.465061 O b'word:anaerobically'
-0.469056 Supp b'postag:CC'
-0.476893 O b'-2:lemma:anaerobically'
-0.484124 Supp b'+1:postag:-LRB-'
-0.488236 O b'lemma:glucose'
-0.488236 O b'word:glucose'
-0.489327 O b'-2:lemma:at'
-0.491584 O b'lemma:2h'
-0.491584 O b'-1:lemma:additional'
-0.491584 O b'word:2h'
-0.491584 O b'-1:word:additional'
-0.506103 O b'lemma:\xce\xb4fur'
-0.506103 O b'word:\xce\x94fur'
-0.506640 O b'-2:lemma:IP'
-0.514942 O b'-1:lemma:grow'
-0.520575 O b'-1:lemma:30'
-0.520575 O b'-1:word:30'
-0.523583 O b'-2:postag:DT'
-0.523650 O b'lemma:of'
-0.523650 O b'word:of'
-0.531778 Phase b'+1:postag:NN'
-0.532589 O b'-2:lemma:media'
-0.563587 Gtype b'postag:VBG'
-0.564326 Supp b'-2:lemma:treat'
-0.565411 Supp b'-1:postag:NNP'
-0.584731 O b'-1:lemma:IP'
-0.584731 O b'-1:word:IP'
-0.587211 Supp b'-2:postag:JJ'
-0.593339 Med b'+2:postag:VBN'
-0.596474 O b'-2:lemma:fresh'
-0.602774 O b'+1:lemma:in'
-0.602774 O b'+1:word:in'
-0.611915 O b'+1:lemma:until'
-0.611915 O b'+1:word:until'
-0.628338 O b'-2:postag:RB'
-0.630514 O b'lemma:media'
-0.630514 O b'word:media'
-0.631529 O b'-1:lemma:nsrr'
-0.631529 O b'-1:word:NsrR'
-0.639248 O b'+1:lemma:at'
-0.639248 O b'+1:word:at'
-0.642022 O b'+1:lemma:2.0'
-0.642022 O b'+1:word:2.0'
-0.642115 Supp b'+2:lemma:glucose'
-0.647250 O b'+2:lemma:b'
-0.667222 Supp b'-2:lemma:grow'
-0.673515 O b'lemma:0.3'
-0.673515 O b'word:0.3'
-0.676110 O b'lemma:wt'
-0.680222 O b'-2:lemma:aerobically'
-0.681123 O b'-1:lemma:vol'
-0.681123 O b'-1:word:vol'
-0.681123 O b'-2:lemma:1/100'
-0.681123 O b'+2:lemma:1m'
-0.682710 O b'+2:lemma:250'
-0.694576 Med b'-2:postag:VBN'
-0.697856 O b'-2:lemma:phase'
-0.699444 pH b'isLower'
-0.700808 O b'+1:lemma:g/l'
-0.700808 O b'+1:word:g/L'
-0.717388 Agit b'isUpper'
-0.722541 O b'lemma:mid-log'
-0.722541 O b'word:mid-log'
-0.737608 O b'-1:lemma:1'
-0.737608 O b'-1:word:1'
-0.740499 O b'lemma:nitrate'
-0.740499 O b'word:nitrate'
-0.752485 O b'lemma:30'
-0.752485 O b'word:30'
-0.755988 O b'+1:postag:IN'
-0.779938 O b'lemma:rifampicin'
-0.779938 O b'word:rifampicin'
-0.783115 Anti b'isUpper'
-0.806261 O b'-2:lemma::'
-0.824477 Technique b'isNumber'
-0.832052 Gtype b'-2:lemma:\xe2\x88\x86'
-0.863480 O b'+2:lemma:then'
-0.879672 Gversion b'isLower'
-0.884306 O b'+2:lemma:rifampicin'
-0.892663 Air b'postag:NN'
-0.922574 Gtype b'isLower'
-0.971352 Temp b'postag:NN'
-0.971492 Supp b'+2:postag:CD'
-0.981487 O b'postag:RB'
-0.986273 Gtype b'isNumber'
-0.986626 Gtype b'+2:lemma:cra'
-0.999664 O b'-2:lemma:rifampicin'
-1.005327 O b'+2:lemma:+'
-1.017639 O b'-1:lemma:sample'
-1.052917 O b'+1:postag:VBG'
-1.113487 O b'postag:VBP'
-1.137187 Technique b'isLower'
-1.137961 Anti b'+2:lemma:polyclonal'
-1.218218 OD b'+1:postag:NN'
-1.218506 O b'+1:lemma:1'
-1.218506 O b'+1:word:1'
-1.244460 O b'-2:lemma:until'
-1.246287 O b'-2:lemma:0.3'
-1.318837 Med b'-2:lemma:grow'
-1.418176 O b'+1:lemma:2'
-1.418176 O b'+1:word:2'
-1.420021 Supp b'+2:lemma:1'
-1.433666 Supp b'+2:lemma:fructose'
-1.518266 Supp b'+2:lemma:2'
-1.707448 OD b'+2:lemma:aerobically'
-1.740887 Supp b'postag:JJ'
-1.755089 Anti b'postag:NNP'
-2.017589 O b'-1:postag:VBG'
-2.050337 O b'-1:lemma::'
-2.050337 O b'-1:word::'
-2.210536 Phase b'-1:postag:JJ'
-2.269742 O b'-1:lemma:_'
-2.269742 O b'-1:word:_'
-2.429764 Phase b'postag:JJ'
********** TRAINING AND TESTING REPORT **********
Training file: training-data-set-70.txt
best params:{'c1': 0.2336502013872894, 'c2': 0.09318602763483955}
best CV score:0.8712658288218513
model size: 0.12M
Flat F1: 0.8031511247172385
precision recall f1-score support
OD 1.000 0.818 0.900 22
pH 1.000 1.000 1.000 8
Technique 1.000 1.000 1.000 23
Med 1.000 0.962 0.981 53
Temp 1.000 0.759 0.863 29
Vess 1.000 1.000 1.000 1
Agit 0.000 0.000 0.000 0
Phase 0.875 0.933 0.903 15
Air 0.556 0.362 0.439 69
Anti 0.917 1.000 0.957 11
Strain 0.000 0.000 0.000 1
Gtype 0.864 0.824 0.843 85
Substrain 0.000 0.000 0.000 0
Supp 0.805 0.799 0.801 134
Gversion 0.000 0.000 0.000 0
avg / total 0.840 0.776 0.803 451
Top likely transitions:
Supp -> Supp 5.153612
Agit -> Agit 4.790521
Temp -> Temp 4.687582
OD -> OD 4.667439
Med -> Med 4.449149
Air -> Air 4.119367
Anti -> Anti 3.666040
Gversion -> Gversion 3.630622
Gtype -> Gtype 3.343835
Phase -> Phase 3.256517
O -> O 3.120205
Technique -> Technique 2.701020
pH -> pH 2.114033
O -> Supp 1.047850
Gtype -> Supp 0.792223
Air -> O 0.728052
Supp -> O 0.623465
O -> Technique 0.585886
Substrain -> Gtype 0.536486
O -> Gtype 0.295211
Med -> O 0.290467
Gtype -> Air 0.240427
Technique -> Air 0.102724
Temp -> O 0.077445
Supp -> Technique -0.001389
Phase -> O -0.001768
O -> Agit -0.009169
Anti -> Gtype -0.025365
Agit -> O -0.119785
Supp -> Med -0.148138
OD -> Air -0.152372
Anti -> O -0.184882
O -> Med -0.194559
Gtype -> Anti -0.207364
Gversion -> O -0.213638
Technique -> Gtype -0.242293
Technique -> pH -0.279479
Gtype -> Med -0.396453
Gtype -> Technique -0.457466
O -> Air -0.478572
Med -> Supp -0.652970
Technique -> O -0.741574
Gtype -> O -0.868400
Substrain -> O -0.904616
Top unlikely transitions:
Supp -> Supp 5.153612
Agit -> Agit 4.790521
Temp -> Temp 4.687582
OD -> OD 4.667439
Med -> Med 4.449149
Air -> Air 4.119367
Anti -> Anti 3.666040
Gversion -> Gversion 3.630622
Gtype -> Gtype 3.343835
Phase -> Phase 3.256517
O -> O 3.120205
Technique -> Technique 2.701020
pH -> pH 2.114033
O -> Supp 1.047850
Gtype -> Supp 0.792223
Air -> O 0.728052
Supp -> O 0.623465
O -> Technique 0.585886
Substrain -> Gtype 0.536486
O -> Gtype 0.295211
Med -> O 0.290467
Gtype -> Air 0.240427
Technique -> Air 0.102724
Temp -> O 0.077445
Supp -> Technique -0.001389
Phase -> O -0.001768
O -> Agit -0.009169
Anti -> Gtype -0.025365
Agit -> O -0.119785
Supp -> Med -0.148138
OD -> Air -0.152372
Anti -> O -0.184882
O -> Med -0.194559
Gtype -> Anti -0.207364
Gversion -> O -0.213638
Technique -> Gtype -0.242293
Technique -> pH -0.279479
Gtype -> Med -0.396453
Gtype -> Technique -0.457466
O -> Air -0.478572
Med -> Supp -0.652970
Technique -> O -0.741574
Gtype -> O -0.868400
Substrain -> O -0.904616
Top positive:
3.844745 Anti b'-2:lemma:antibody'
3.075298 O b'-2:lemma:_'
3.031119 O b'postag:IN'
2.910731 Gtype b'word[:1]:\xce\x94'
2.767129 Technique b'word[:2]:Ch'
2.687293 O b'word[:2]:re'
2.397217 O b'isLower'
2.349451 OD b'word[:1]:O'
2.325310 Air b'lemma:anaerobic'
2.308276 Air b'word[:2]:An'
2.302010 O b'postag::'
2.198277 O b'lemma:2'
2.198277 O b'word:2'
2.169367 Air b'word[:2]:Ae'
2.169367 Air b'word:Aerobic'
2.123019 O b'word:A'
2.076492 Air b'postag:RB'
2.043571 O b'lemma:_'
2.043571 O b'word[:1]:_'
2.043571 O b'word:_'
2.029395 Air b'word[:1]:A'
2.002141 O b'postag:CC'
1.942490 O b'lemma:1'
1.942490 O b'word:1'
1.937470 O b'word[:1]:S'
1.896723 Gtype b'hGreek'
1.887387 Air b'word[:1]:a'
1.887291 O b'postag:VBN'
1.861797 Supp b'-1:word:Cra'
1.851009 Gtype b'word[:1]:W'
1.850161 O b'word[:1]:G'
1.829782 Technique b'word[:2]:RN'
1.823057 O b'lemma:.'
1.823057 O b'postag:.'
1.823057 O b'word:.'
1.783472 Gtype b'-2:lemma:genotype/variation'
1.743688 O b'isNumber'
1.737426 Supp b'word[:1]:I'
1.735984 O b'lemma:3'
1.735984 O b'word:3'
1.735450 Gtype b'lemma:wt'
1.732890 Phase b'-2:lemma:phase'
1.713773 O b'+2:lemma:\xc2\xb0c'
1.626531 O b'lemma:-'
1.626531 O b'word:-'
1.621002 Gtype b'word[:1]:d'
1.585833 Substrain b'word[:2]:MG'
1.567249 Med b'+2:postag:CC'
1.561495 Gtype b'-2:lemma:delta'
1.538812 Gtype b'-1:lemma:\xe2\x88\x86'
1.538812 Gtype b'-1:word:\xe2\x88\x86'
1.529675 O b'-2:lemma:medium'
1.528642 Phase b'lemma:mid-log'
1.528642 Phase b'word:mid-log'
1.525710 Supp b'lemma:arginine'
1.515052 Med b'isUpper'
1.509156 Anti b'+2:lemma:antibody'
1.498445 Air b'word[:2]:an'
1.448455 Gtype b'word[:2]:Fl'
1.445971 O b'word[:1]:B'
1.442694 Substrain b'word[:1]:M'
1.424126 Technique b'word[:1]:R'
1.419379 Supp b'-1:lemma:with'
1.419379 Supp b'-1:word:with'
1.408287 O b'-1:word:Aerobic'
1.401018 O b'+2:postag:JJ'
1.385158 Supp b'-1:postag:CC'
1.377203 pH b'word[:2]:pH'
1.376034 O b'word[:2]:Rp'
1.370982 Supp b'+2:lemma:iptg'
1.365225 O b'lemma:a'
1.363156 Gtype b'word[:1]:w'
1.362194 Gtype b'lemma:type'
1.362194 Gtype b'word[:2]:ty'
1.362194 Gtype b'word:type'
1.335730 Supp b'word[:1]:N'
1.328524 Gtype b'word[:2]:PK'
1.323973 Supp b'word[:2]:ni'
1.321948 Anti b'word[:2]:an'
1.321538 Supp b'lemma:acetate'
1.321538 Supp b'word:acetate'
1.318423 O b'word[:2]:ch'
1.318176 Air b'+1:postag:IN'
1.315132 O b'lemma:with'
1.315132 O b'word:with'
1.314507 pH b'+1:postag:CD'
1.302202 Supp b'word[:2]:Fe'
1.295539 Supp b'word[:2]:gl'
1.282771 Gtype b'word[:1]:F'
1.281044 O b'+2:lemma:cra'
1.274682 O b'postag:DT'
1.272939 O b'word[:2]:ge'
1.271317 Med b'word[:1]:L'
1.265104 Technique b'word[:1]:C'
1.259599 Supp b'-2:lemma:for'
1.259424 Supp b'lemma:pq'
1.259424 Supp b'word[:2]:PQ'
1.259424 Supp b'word:PQ'
1.253382 O b'-1:lemma:tag'
1.226505 O b'-1:lemma:anaerobic'
1.220019 Gtype b'+2:lemma:glucose'
1.217394 Gtype b'-2:postag:DT'
1.200992 O b'word[:1]:-'
1.197803 Supp b'+1:lemma:\xc2\xb5m'
1.197803 Supp b'+1:word:\xc2\xb5M'
1.197777 O b'word[:1]:R'
1.178925 Med b'word[:1]:M'
1.178705 pH b'word[:1]:p'
1.165105 Air b'word:Anaerobic'
1.151652 Gtype b'word[:1]:t'
1.150537 O b'word[:1]:C'
1.139639 O b'-2:lemma:flagtag'
1.135644 Technique b'lemma:ChIP-exo'
1.134050 O b'-1:word:tag'
1.133929 O b'+1:postag:RB'
1.129756 Anti b'+1:lemma:antibody'
1.129756 Anti b'+1:word:antibody'
1.121198 Supp b'lemma:Iron'
1.121198 Supp b'word[:2]:Ir'
1.121198 Supp b'word:Iron'
1.121198 Supp b'+1:word:Deficient'
1.121198 Supp b'-2:lemma:Anaerobic'
1.114176 Med b'word[:1]:m'
1.100461 Supp b'word[:2]:ac'
1.099208 Gtype b'symb'
1.094239 Temp b'isUpper'
1.093800 O b'+2:lemma:of'
1.088664 Gtype b'lemma:\xe2\x88\x86'
1.088664 Gtype b'word[:1]:\xe2\x88\x86'
1.088664 Gtype b'word:\xe2\x88\x86'
1.071215 O b'+1:word:ChIP-Seq'
1.066491 Agit b'+2:lemma:at'
1.066258 Gtype b'-2:lemma:affyexp'
1.060022 Gtype b'word[:2]:WT'
1.060022 Gtype b'word:WT'
1.053727 O b'-2:lemma:myc'
1.050067 Technique b'symb'
1.039357 Air b'-2:lemma:%'
1.038444 Gtype b'lemma:nsrr'
1.038444 Gtype b'word[:2]:Ns'
1.038444 Gtype b'word:NsrR'
1.033615 OD b'-1:postag:IN'
1.032571 Supp b'-1:lemma:Cra'
1.027117 O b'lemma:b'
1.027117 O b'word:B'
1.026841 Phase b'word[:2]:ex'
1.020258 Temp b'+2:postag:DT'
1.005720 Med b'word[:1]:g'
1.003046 Phase b'word[:1]:e'
0.988531 Technique b'+2:lemma:ph5'
0.982847 Med b'lemma:MOPS'
0.982847 Med b'word[:2]:MO'
0.982847 Med b'word:MOPS'
0.982044 Gtype b'word[:1]:P'
0.978963 Supp b'+1:lemma:1'
0.978963 Supp b'+1:word:1'
0.977470 O b'+1:postag:VBN'
0.972345 Gversion b'lemma:chip-seq'
0.965776 O b'-1:lemma:0.3'
0.965776 O b'-1:word:0.3'
0.961310 O b'word[:1]:c'
0.961310 Gversion b'word:ChIP-Seq'
0.954008 Supp b'-2:lemma:media'
0.953354 O b'word[:1]:E'
0.952860 OD b'word[:2]:0.'
0.951986 Gversion b'word[:2]:00'
0.951986 Gversion b'-2:lemma:nc'
0.951757 Temp b'isNumber'
0.944374 O b'-1:lemma:glucose'
0.944374 O b'-1:word:glucose'
0.939001 Anti b'word[:1]:a'
0.933490 Gtype b'word[:1]:f'
0.932192 Technique b'lemma:rna-seq'
0.927167 O b'word[:2]:Cr'
0.924784 O b'+1:postag:NNP'
0.923460 Temp b'lemma:43'
0.923460 Temp b'word[:2]:43'
0.923460 Temp b'word:43'
0.922823 Gversion b'postag:NN'
0.920025 O b'word:Cra'
0.919393 Gtype b'-2:lemma:genotype'
0.916703 O b'-1:postag:NNS'
0.914905 Temp b'-1:lemma:43'
0.914905 Temp b'-1:word:43'
0.914011 Supp b'lemma:fructose'
0.914011 Supp b'word:fructose'
0.910162 Gtype b'+2:lemma:a'
0.909270 O b'-1:lemma:ChIP-exo'
0.906917 O b'-1:lemma:lb'
0.906917 O b'-1:word:LB'
0.905676 Temp b'-2:lemma:30'
0.905544 O b'lemma::'
0.905544 O b'word[:1]::'
0.905544 O b'word::'
0.903768 O b'-2:lemma:min'
0.902708 Gtype b'lemma:flag-tag'
0.902708 Gtype b'-1:lemma:c-terminal'
0.902708 Gtype b'word:Flag-tag'
0.902708 Gtype b'-1:word:C-terminal'
0.895846 Gtype b'-1:postag:VBG'
Top negative:
-0.213281 Gtype b'postag:VBG'
-0.213927 O b'lemma:30'
-0.213927 O b'word:30'
-0.214268 O b'+1:lemma:1m'
-0.214268 O b'+1:word:1M'
-0.214268 O b'-2:lemma:vol'
-0.214305 Technique b'isLower'
-0.215229 O b'+2:lemma:tag'
-0.224496 O b'lemma:0.3'
-0.224496 O b'word:0.3'
-0.225047 O b'word[:2]:ae'
-0.225048 O b'+2:lemma:10'
-0.225327 O b'+1:lemma:.'
-0.225327 O b'+1:postag:.'
-0.225327 O b'+1:word:.'
-0.226893 O b'lemma:media'
-0.226893 O b'word:media'
-0.227738 O b'-1:lemma:final'
-0.227738 O b'-1:word:final'
-0.236792 Supp b'-1:postag:NN'
-0.237178 O b'lemma:aerobically'
-0.237178 O b'word:aerobically'
-0.237751 Temp b'-2:postag:NN'
-0.238106 O b'+1:lemma:mm'
-0.238106 O b'+1:word:mM'
-0.238950 Med b'+2:postag:VBN'
-0.239931 Supp b'-2:lemma:treat'
-0.242306 Supp b'+2:lemma:-rrb-'
-0.244385 O b'-2:lemma:fresh'
-0.248124 O b'-1:word:the'
-0.250659 O b'-1:lemma:control'
-0.250659 O b'-1:word:control'
-0.252294 Vess b'hUpper'
-0.252294 Vess b'hLower'
-0.260164 Gtype b'-2:postag:CD'
-0.261752 Supp b'-1:lemma:-lrb-'
-0.261752 Supp b'-1:word:-LRB-'
-0.264366 O b'-1:lemma:dissolve'
-0.264366 O b'+1:lemma:methanol'
-0.264366 O b'-1:word:dissolved'
-0.264366 O b'+1:word:methanol'
-0.265460 O b'+2:lemma:b'
-0.272617 O b'+1:lemma:until'
-0.272617 O b'+1:word:until'
-0.273572 Gtype b'word[:1]:h'
-0.274523 O b'+1:postag:-RRB-'
-0.278891 O b'word[:2]:mg'
-0.284692 O b'-2:lemma:rpob'
-0.286507 Supp b'-1:postag:-LRB-'
-0.287758 Gtype b'+1:postag:CD'
-0.288985 O b'+1:lemma:+'
-0.288985 O b'+1:word:+'
-0.291255 Supp b'+2:postag:CC'
-0.293167 Anti b'isUpper'
-0.295610 Air b'symb'
-0.297086 Med b'+1:postag:IN'
-0.297472 Anti b'+2:lemma:polyclonal'
-0.301599 Supp b'+1:postag:-LRB-'
-0.303534 O b'word[:2]:pH'
-0.308953 O b'+2:lemma:250'
-0.312066 O b'-2:postag::'
-0.312712 O b'-1:lemma:1'
-0.312712 O b'-1:word:1'
-0.314265 Supp b'+2:postag:-RRB-'
-0.320230 Supp b'+1:lemma:-lrb-'
-0.320230 Supp b'+1:word:-LRB-'
-0.322105 Supp b'isLower'
-0.323396 O b'+2:lemma:fnr'
-0.323418 O b'-2:lemma:anaerobically'
-0.325030 O b'-1:lemma:mm'
-0.325030 O b'-1:word:mM'
-0.330509 O b'-2:lemma:IP'
-0.332858 Gtype b'-2:lemma:\xe2\x88\x86'
-0.339609 OD b'hUpper'
-0.339609 OD b'hLower'
-0.339859 O b'-1:lemma:30'
-0.339859 O b'-1:word:30'
-0.350738 O b'postag:VBP'
-0.351658 O b'+2:lemma:.'
-0.351658 O b'+2:postag:.'
-0.352921 O b'-1:lemma:rpob'
-0.352921 O b'-1:word:RpoB'
-0.353783 Anti b'+1:lemma:anti-fur'
-0.353783 Anti b'+1:word:anti-Fur'
-0.354236 O b'-1:postag:IN'
-0.356640 O b'+2:lemma:add'
-0.363002 O b'+1:lemma:g/l'
-0.363002 O b'+1:word:g/L'
-0.363879 O b'-2:lemma:pahse'
-0.364619 Air b'isLower'
-0.365203 Supp b'+1:lemma:,'
-0.365203 Supp b'+1:postag:,'
-0.365203 Supp b'+1:word:,'
-0.365874 O b'-2:lemma:supplement'
-0.369104 O b'-1:lemma:ph'
-0.369104 O b'-1:word:pH'
-0.371371 Supp b'isNumber'
-0.371775 O b'+2:lemma:a'
-0.372992 O b'-2:postag:-LRB-'
-0.377752 O b'-1:lemma:nsrr'
-0.377752 O b'-1:word:NsrR'
-0.378984 O b'-1:lemma:IP'
-0.378984 O b'-1:word:IP'
-0.385721 O b'+2:lemma:at'
-0.390304 O b'-2:lemma:dpd'
-0.398681 O b'-1:lemma:co2'
-0.398681 O b'-1:word:CO2'
-0.401830 Supp b'-2:postag:JJ'
-0.414842 O b'+2:lemma:-rrb-'
-0.419511 O b'-1:lemma:vol'
-0.419511 O b'-1:word:vol'
-0.419511 O b'-2:lemma:1/100'
-0.419511 O b'+2:lemma:1m'
-0.426146 Supp b'+2:postag:NNP'
-0.441021 Gtype b'isNumber'
-0.444323 O b'word[:2]:gl'
-0.446407 O b'-2:lemma:until'
-0.457555 Agit b'symb'
-0.459022 Phase b'postag:JJ'
-0.462341 O b'+1:postag:VBG'
-0.464267 Med b'-1:postag:NN'
-0.468286 O b'lemma:mid-log'
-0.468286 O b'word:mid-log'
-0.472613 O b'+1:lemma:at'
-0.472613 O b'+1:word:at'
-0.477062 pH b'isLower'
-0.477743 Agit b'hUpper'
-0.477743 Agit b'hLower'
-0.479686 O b'+2:lemma:+'
-0.484984 Temp b'postag:NN'
-0.499704 O b'word[:2]:ri'
-0.501394 O b'-2:lemma:media'
-0.507911 O b'lemma:wt'
-0.526226 O b'-2:lemma:phase'
-0.529104 Supp b'-1:postag:NNP'
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