Run_6.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: True False
Report file: _v13
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003627s
-------------------------------- 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 lemma[: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 lemma[:1] d
11 lemma[: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=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.890024 - 1.2s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.880403 - 1.3s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.690341 - 1.5s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.890024 - 1.4s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.869691 - 1.4s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.744355 - 1.2s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.786360 - 1.4s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.846486 - 1.5s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.826344 - 1.4s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.843948 - 1.5s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.804014 - 1.0s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.804464 - 1.5s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.874372 - 1.4s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.852277 - 1.4s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.815278 - 1.5s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.819477 - 1.2s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.898446 - 1.3s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.813790 - 1.5s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.804464 - 1.5s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.867416 - 1.4s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.635785 - 1.2s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.603359 - 1.5s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.908587 - 1.4s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.635785 - 1.6s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.926731 - 1.4s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.934128 - 1.1s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.879259 - 1.5s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.893806 - 1.4s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.899473 - 1.6s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.856700 - 1.3s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.826344 - 1.1s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.723972 - 1.5s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.858021 - 1.4s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.752973 - 1.6s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.679842 - 1.6s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.890024 - 1.4s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.694229 - 1.5s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.910493 - 1.3s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.855584 - 1.5s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.694229 - 1.4s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.804464 - 1.3s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.767841 - 1.5s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.921722 - 1.5s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.685251 - 1.5s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.899776 - 1.4s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.932900 - 1.3s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.832818 - 1.5s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.841420 - 1.3s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.819477 - 1.4s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.858878 - 1.6s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.854189 - 1.4s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.862461 - 1.4s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.876867 - 1.4s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.867297 - 1.4s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.804464 - 1.5s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.868123 - 1.3s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.920290 - 1.5s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.848986 - 1.5s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.810774 - 1.6s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.872936 - 1.3s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.619521 - 1.5s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.897095 - 1.2s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.769842 - 1.5s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.926731 - 1.3s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.802648 - 1.4s
[CV] c1=0.7397744394629708, c2=0.06206881872725856 ...................
[CV] c1=0.7397744394629708, c2=0.06206881872725856, score=0.810774 - 1.2s
[CV] c1=1.2941973038793777, c2=0.037888887789770925 ..................
[CV] c1=1.2941973038793777, c2=0.037888887789770925, score=0.793199 - 1.4s
[CV] c1=0.19824146496587178, c2=0.013797540793034142 .................
[CV] c1=0.19824146496587178, c2=0.013797540793034142, score=0.956017 - 1.6s
[CV] c1=0.7032936215118566, c2=0.10066980363880543 ...................
[CV] c1=0.7032936215118566, c2=0.10066980363880543, score=0.937766 - 1.5s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.941948 - 1.4s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.909675 - 1.4s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.839218 - 1.5s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.739063 - 1.3s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.871884 - 1.4s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.946646 - 1.4s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.868596 - 1.5s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.950725 - 1.5s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.854858 - 1.5s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.835814 - 1.6s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.881118 - 1.1s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.804464 - 1.4s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.877252 - 1.3s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.833135 - 1.5s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.877252 - 1.4s
[CV] c1=0.07958217736939746, c2=0.14062673161534342 ..................
[CV] c1=0.07958217736939746, c2=0.14062673161534342, score=0.843508 - 1.4s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.927009 - 1.5s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.925560 - 1.4s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.886827 - 1.4s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.873517 - 1.5s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.909115 - 1.3s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.734639 - 1.5s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.926731 - 1.3s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.825018 - 1.5s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.823313 - 1.5s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.868123 - 1.5s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.806460 - 1.3s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.828274 - 1.5s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.882504 - 1.5s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.843508 - 1.5s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.835814 - 1.3s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.819477 - 1.5s
[CV] c1=0.216886783747496, c2=0.06401679314680564 ....................
[CV] c1=0.216886783747496, c2=0.06401679314680564, score=0.839383 - 1.5s
[CV] c1=0.004133060166992575, c2=0.011901439513382527 ................
[CV] c1=0.004133060166992575, c2=0.011901439513382527, score=0.935899 - 1.4s
[CV] c1=0.0563192166145737, c2=0.09059169860484621 ...................
[CV] c1=0.0563192166145737, c2=0.09059169860484621, score=0.941948 - 1.4s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.824101 - 1.4s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.785460 - 1.5s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.926731 - 1.3s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.710008 - 1.5s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.873366 - 1.3s
[CV] c1=0.5293995858269901, c2=0.03117434046987838 ...................
[CV] c1=0.5293995858269901, c2=0.03117434046987838, score=0.914143 - 1.4s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.898170 - 1.5s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.839383 - 1.5s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.798268 - 1.3s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.823313 - 1.5s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.867416 - 1.3s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.862461 - 1.4s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.694229 - 1.7s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.749548 - 1.4s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.931609 - 1.6s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.866956 - 1.0s
[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.850736 - 1.3s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.928660 - 1.6s
[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.804464 - 1.5s
[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.873246 - 1.4s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.919144 - 1.1s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.694229 - 1.5s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.867416 - 1.5s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.882373 - 1.4s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.679842 - 1.6s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.843508 - 1.2s
[CV] c1=0.9074915652851482, c2=0.02543187379319682 ...................
[CV] c1=0.9074915652851482, c2=0.02543187379319682, score=0.926892 - 1.5s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.884477 - 1.5s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.573561 - 1.5s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.926731 - 1.4s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.820238 - 1.4s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.839383 - 1.4s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.893806 - 1.4s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.847032 - 1.4s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.867416 - 1.3s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.679842 - 1.4s
[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.876690 - 1.4s
[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.858068 - 1.5s
[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.899473 - 1.5s
[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.889289 - 1.3s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.862528 - 1.1s
[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.925107 - 1.3s
[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.727632 - 1.5s
[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.752973 - 1.5s
[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.918674 - 1.3s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.810648 - 1.3s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.865193 - 1.5s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.823313 - 1.5s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.789187 - 1.5s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.894971 - 1.4s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.894971 - 1.3s
[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.925560 - 1.5s
[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.934128 - 1.4s
[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.810774 - 1.5s
[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.824101 - 1.5s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.912532 - 1.0s
[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.729474 - 1.4s
[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.826344 - 1.3s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.860604 - 1.5s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.856700 - 1.3s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.926731 - 1.5s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.925560 - 1.5s
[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.635785 - 1.5s
[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.868123 - 1.4s
[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.718921 - 1.5s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.804464 - 1.3s
[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.813790 - 1.5s
[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.899473 - 1.5s
[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.838488 - 1.4s
[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.917297 - 1.6s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.917115 - 1.0s
[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.849701 - 1.4s
[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.804464 - 1.4s
[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.635785 - 1.5s
[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.804464 - 1.6s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.950725 - 1.1s
[CV] c1=0.17182804981226535, c2=0.002428872515053027 .................
[CV] c1=0.17182804981226535, c2=0.002428872515053027, score=0.852560 - 1.5s
[CV] c1=0.792515464743646, c2=0.08571303528654414 ....................
[CV] c1=0.792515464743646, c2=0.08571303528654414, score=0.890024 - 1.4s
[CV] c1=0.6990936193316816, c2=0.08367320545887141 ...................
[CV] c1=0.6990936193316816, c2=0.08367320545887141, score=0.826344 - 1.3s
[CV] c1=0.10386122891558734, c2=0.11287630527447601 ..................
[CV] c1=0.10386122891558734, c2=0.11287630527447601, score=0.843508 - 1.4s
[CV] c1=0.10847613698559176, c2=0.14660104510709368 ..................
[CV] c1=0.10847613698559176, c2=0.14660104510709368, score=0.848700 - 1.5s
[CV] c1=0.1784170122015291, c2=0.026491135561658566 ..................
[CV] c1=0.1784170122015291, c2=0.026491135561658566, score=0.950725 - 1.5s
[CV] c1=0.18847706548586152, c2=0.04745708358881413 ..................
[CV] c1=0.18847706548586152, c2=0.04745708358881413, score=0.925560 - 1.5s
[CV] c1=1.5252837713021872, c2=0.40678698586680273 ...................
[CV] c1=1.5252837713021872, c2=0.40678698586680273, score=0.873786 - 1.5s
[CV] c1=0.4861162646712438, c2=0.023054491303730287 ..................
[CV] c1=0.4861162646712438, c2=0.023054491303730287, score=0.802648 - 1.5s
[CV] c1=0.41184922423682174, c2=0.021708165205365473 .................
[CV] c1=0.41184922423682174, c2=0.021708165205365473, score=0.694229 - 1.3s
Training done in: 9.576261s
Saving training model...
Saving training model done in: 0.014119s
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Prediction done in: 0.040201s