Run3_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 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 ...................
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[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
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[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
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[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
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[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
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[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
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[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
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[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
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[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
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[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
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[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
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[CV] c1=0.4507902692616989, c2=0.05467840903622824 ...................
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[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
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[CV] c1=0.30316655208380183, c2=0.057223035304640284 .................
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[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
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[CV] c1=0.14463635619711196, c2=0.12339706484363977 ..................
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[CV] c1=0.49992902650593407, c2=0.08388896794863827 ..................
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[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
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[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
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[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
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[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
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[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
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[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
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[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
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[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
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[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
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[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
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[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
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[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
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[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
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[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
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[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=0.24755785273147432, c2=0.0030619502477866327 ................
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[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
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[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
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[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
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[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
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[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
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[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
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[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
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[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 ................
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[CV] c1=0.28014290890938814, c2=0.0075068096809199365 ................
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[CV] c1=0.25811836591886456, c2=0.003502908245478619 .................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
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[CV] c1=0.020277686812257625, c2=0.011330282151507338 ................
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[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 ...................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
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[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
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[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
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[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
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[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
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[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
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[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
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[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
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[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
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[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
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[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
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[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
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[CV] c1=0.28631733190101855, c2=0.05766330662617827 ..................
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[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
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[CV] c1=1.1782099999148323, c2=0.0899930872363767 ....................
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[CV] c1=0.6460969376585063, c2=0.003577453523196396 ..................
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[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 ..................
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[CV] c1=1.2364932529016426, c2=0.01658666364686931 ...................
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[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
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[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 .................
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[CV] c1=1.585708701874957, c2=0.052463644285994385 ...................
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[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 ..................
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[CV] c1=0.4725358701847051, c2=0.011338641103277501 ..................
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[CV] c1=0.21690218524714605, c2=0.03082367232859979 ..................
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[CV] c1=0.05852852169391957, c2=0.0012440931972528355 ................
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[CV] c1=0.539526422204713, c2=0.0031127217504277726 ..................
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[CV] c1=0.15406215902868822, c2=0.04226744278958694 ..................
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[CV] c1=1.8079092343180891, c2=0.06997547880890734 ...................
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[CV] c1=0.5816474911196993, c2=0.03579145791331891 ...................
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[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
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Prediction done in: 0.036528s