Run7_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: 0.003589s
-------------------------------- 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 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.766544 - 1.5s
[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 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.917037 - 1.7s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.601824 - 1.6s
[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
[CV] c1=0.5483816183090657, c2=0.007358724121889613, score=0.849714 - 1.3s
[CV] c1=0.07349596372789367, c2=0.029205506493995288 .................
[CV] c1=0.07349596372789367, c2=0.029205506493995288, score=0.727697 - 1.4s
[CV] c1=0.1617865615523816, c2=0.035331037724276745 ..................
[CV] c1=0.1617865615523816, c2=0.035331037724276745, score=0.827578 - 1.5s
[CV] c1=0.007996798078715587, c2=0.03827861802760167 .................
[CV] c1=0.007996798078715587, c2=0.03827861802760167, score=0.927103 - 1.5s
[CV] c1=1.3248147014743852, c2=0.2029124753847541 ....................
[CV] c1=1.3248147014743852, c2=0.2029124753847541, score=0.752715 - 1.3s
[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 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.847604 - 1.5s
[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 .................
[CV] c1=0.08021472274752509, c2=0.027005041681951836, score=0.865514 - 1.2s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.913784 - 1.3s
[CV] c1=1.914660803814287, c2=0.023138671237492175 ...................
[CV] c1=1.914660803814287, c2=0.023138671237492175, score=0.788764 - 1.4s
[CV] c1=0.2495039490905518, c2=0.02991704558397489 ...................
[CV] c1=0.2495039490905518, c2=0.02991704558397489, score=0.717781 - 1.6s
[CV] c1=0.6933028993355242, c2=0.03853857409696247 ...................
[CV] c1=0.6933028993355242, c2=0.03853857409696247, score=0.818750 - 1.6s
[CV] c1=0.7638817889692817, c2=0.005325204030365024 ..................
[CV] c1=0.7638817889692817, c2=0.005325204030365024, score=0.631304 - 1.6s
[CV] c1=0.2078923308210963, c2=0.005728236389960638 ..................
[CV] c1=0.2078923308210963, c2=0.005728236389960638, score=0.931814 - 1.4s
[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 .................
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[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 .................
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[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 .................
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[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 .................
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[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 ..................
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[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 .................
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[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
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[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 ...............
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[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 .................
[CV] c1=0.15772557550797406, c2=0.061939583345932074, score=0.858211 - 1.4s
[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
[CV] c1=0.28133713625966017, c2=0.04713945988994525, score=0.717781 - 1.6s
[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 .................
[CV] c1=0.08233258385147266, c2=0.020833701807043192, score=0.869958 - 1.4s
[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 .................
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[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 ..................
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[CV] c1=0.5483816183090657, c2=0.007358724121889613 ..................
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[CV] c1=0.01276023136139416, c2=0.00034626793107697863 ...............
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[CV] c1=0.4405650987742859, c2=0.004235340563311358 ..................
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[CV] c1=0.28133713625966017, c2=0.04713945988994525 ..................
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[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
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[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 ..................
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[CV] c1=0.03298015153695654, c2=0.07572577302563187 ..................
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[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 ...................
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[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 .................
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[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
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Prediction done in: 0.039379s