-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run1
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: FalseS4: False
Run variant: 12
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003653s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
           0   1
0      lemma   :
1     postag   :
2   -1:lemma  in
3  -1:postag  IN
4   +1:lemma  m9
5  +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 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.19428375218713267, c2=0.1072604219376388 ...................
[CV]  c1=0.19428375218713267, c2=0.1072604219376388, score=0.760700 -   1.1s
[CV] c1=0.29597444287242825, c2=0.0011772897837615968 ................
[CV]  c1=0.29597444287242825, c2=0.0011772897837615968, score=0.710138 -   0.9s
[CV] c1=0.1445915914734329, c2=0.03734301524670186 ...................
[CV]  c1=0.1445915914734329, c2=0.03734301524670186, score=0.766527 -   1.1s
[CV] c1=0.4584831813836262, c2=0.01783639295537388 ...................
[CV]  c1=0.4584831813836262, c2=0.01783639295537388, score=0.738373 -   1.1s
[CV] c1=0.9679162418288665, c2=0.044033568213365876 ..................
[CV]  c1=0.9679162418288665, c2=0.044033568213365876, score=0.662431 -   1.1s
[CV] c1=0.6100969254490771, c2=0.07700074329622246 ...................
[CV]  c1=0.6100969254490771, c2=0.07700074329622246, score=0.731257 -   1.0s
[CV] c1=0.036697724901602335, c2=0.017372595114945193 ................
[CV]  c1=0.036697724901602335, c2=0.017372595114945193, score=0.672142 -   0.9s
[CV] c1=0.000759865671322364, c2=0.03558403356854586 .................
[CV]  c1=0.000759865671322364, c2=0.03558403356854586, score=0.847760 -   1.0s
[CV] c1=0.6806083221000208, c2=0.0015445185292079452 .................
[CV]  c1=0.6806083221000208, c2=0.0015445185292079452, score=0.830186 -   1.0s
[CV] c1=0.42434987412735586, c2=0.025315486184378785 .................
[CV]  c1=0.42434987412735586, c2=0.025315486184378785, score=0.752184 -   1.1s
[CV] c1=2.6819394929454945, c2=0.006419071517425965 ..................
[CV]  c1=2.6819394929454945, c2=0.006419071517425965, score=0.461893 -   0.9s
[CV] c1=1.5507179021106103, c2=0.07496132741971476 ...................
[CV]  c1=1.5507179021106103, c2=0.07496132741971476, score=0.683989 -   1.0s
[CV] c1=0.05015393677504569, c2=0.08692464824660819 ..................
[CV]  c1=0.05015393677504569, c2=0.08692464824660819, score=0.792571 -   1.0s
[CV] c1=0.29597444287242825, c2=0.0011772897837615968 ................
[CV]  c1=0.29597444287242825, c2=0.0011772897837615968, score=0.787071 -   1.1s
[CV] c1=0.10430438263055204, c2=0.01937206239539747 ..................
[CV]  c1=0.10430438263055204, c2=0.01937206239539747, score=0.772672 -   1.1s
[CV] c1=0.3351589255131935, c2=0.018064742639211623 ..................
[CV]  c1=0.3351589255131935, c2=0.018064742639211623, score=0.875651 -   1.1s
[CV] c1=0.3920429244243515, c2=0.0003105295710314177 .................
[CV]  c1=0.3920429244243515, c2=0.0003105295710314177, score=0.884227 -   1.1s
[CV] c1=0.047154283669869304, c2=0.03807135139843089 .................
[CV]  c1=0.047154283669869304, c2=0.03807135139843089, score=0.667657 -   0.9s
[CV] c1=0.036697724901602335, c2=0.017372595114945193 ................
[CV]  c1=0.036697724901602335, c2=0.017372595114945193, score=0.852388 -   1.0s
[CV] c1=0.030873622963942172, c2=2.2927855946129546e-05 ..............
[CV]  c1=0.030873622963942172, c2=2.2927855946129546e-05, score=0.812744 -   1.1s
[CV] c1=0.9989531477711957, c2=0.0038812050013617575 .................
[CV]  c1=0.9989531477711957, c2=0.0038812050013617575, score=0.621244 -   0.9s
[CV] c1=0.26519551920565504, c2=0.07163741359181416 ..................
[CV]  c1=0.26519551920565504, c2=0.07163741359181416, score=0.773232 -   1.1s
[CV] c1=0.9241631283098553, c2=0.05085501849350568 ...................
[CV]  c1=0.9241631283098553, c2=0.05085501849350568, score=0.607903 -   0.9s
[CV] c1=1.0093898550607132, c2=0.06313381156236984 ...................
[CV]  c1=1.0093898550607132, c2=0.06313381156236984, score=0.574105 -   0.9s
[CV] c1=0.2470957904003579, c2=0.01482887198822182 ...................
[CV]  c1=0.2470957904003579, c2=0.01482887198822182, score=0.879517 -   1.0s
[CV] c1=1.8895926196372141, c2=0.039131124880354695 ..................
[CV]  c1=1.8895926196372141, c2=0.039131124880354695, score=0.584446 -   1.0s
[CV] c1=0.19084936585711326, c2=0.016158001686309997 .................
[CV]  c1=0.19084936585711326, c2=0.016158001686309997, score=0.668577 -   0.9s
[CV] c1=0.32756062610299447, c2=0.003155387570338788 .................
[CV]  c1=0.32756062610299447, c2=0.003155387570338788, score=0.883546 -   1.1s
[CV] c1=1.5209693937219353, c2=0.00127997511065957 ...................
[CV]  c1=1.5209693937219353, c2=0.00127997511065957, score=0.783862 -   1.1s
[CV] c1=0.1399037138978219, c2=0.03208034196861651 ...................
[CV]  c1=0.1399037138978219, c2=0.03208034196861651, score=0.801994 -   1.2s
[CV] c1=0.06746606571624555, c2=0.026030645057851434 .................
[CV]  c1=0.06746606571624555, c2=0.026030645057851434, score=0.898137 -   1.1s
[CV] c1=1.3289983607356612, c2=0.06713974176830143 ...................
[CV]  c1=1.3289983607356612, c2=0.06713974176830143, score=0.766879 -   1.0s
[CV] c1=0.3846373632706468, c2=0.06000126756561165 ...................
[CV]  c1=0.3846373632706468, c2=0.06000126756561165, score=0.790867 -   1.2s
[CV] c1=0.01769232821918989, c2=0.09729621875041167 ..................
[CV]  c1=0.01769232821918989, c2=0.09729621875041167, score=0.813821 -   1.1s
[CV] c1=0.9758472607249478, c2=0.006069642839169277 ..................
[CV]  c1=0.9758472607249478, c2=0.006069642839169277, score=0.633684 -   1.1s
[CV] c1=1.5507179021106103, c2=0.07496132741971476 ...................
[CV]  c1=1.5507179021106103, c2=0.07496132741971476, score=0.653189 -   1.0s
[CV] c1=0.19428375218713267, c2=0.1072604219376388 ...................
[CV]  c1=0.19428375218713267, c2=0.1072604219376388, score=0.659964 -   0.9s
[CV] c1=1.1338522336044112, c2=0.09540108761305022 ...................
[CV]  c1=1.1338522336044112, c2=0.09540108761305022, score=0.680967 -   1.0s
[CV] c1=0.5559200250577303, c2=0.09221277763152685 ...................
[CV]  c1=0.5559200250577303, c2=0.09221277763152685, score=0.835077 -   1.1s
[CV] c1=0.4584831813836262, c2=0.01783639295537388 ...................
[CV]  c1=0.4584831813836262, c2=0.01783639295537388, score=0.864247 -   1.0s
[CV] c1=0.1005651513627764, c2=0.08599894835046414 ...................
[CV]  c1=0.1005651513627764, c2=0.08599894835046414, score=0.884459 -   1.1s
[CV] c1=0.260196952923773, c2=0.008148420543050556 ...................
[CV]  c1=0.260196952923773, c2=0.008148420543050556, score=0.707208 -   0.9s
[CV] c1=0.08055062919581613, c2=0.030815941882287597 .................
[CV]  c1=0.08055062919581613, c2=0.030815941882287597, score=0.891149 -   1.1s
[CV] c1=0.000759865671322364, c2=0.03558403356854586 .................
[CV]  c1=0.000759865671322364, c2=0.03558403356854586, score=0.694926 -   0.9s
[CV] c1=0.3846373632706468, c2=0.06000126756561165 ...................
[CV]  c1=0.3846373632706468, c2=0.06000126756561165, score=0.738865 -   1.1s
[CV] c1=0.8385351533335189, c2=0.08411228141310506 ...................
[CV]  c1=0.8385351533335189, c2=0.08411228141310506, score=0.598175 -   1.1s
[CV] c1=0.9758472607249478, c2=0.006069642839169277 ..................
[CV]  c1=0.9758472607249478, c2=0.006069642839169277, score=0.664556 -   1.1s
[CV] c1=1.2410932341901608, c2=0.03480149231175205 ...................
[CV]  c1=1.2410932341901608, c2=0.03480149231175205, score=0.569537 -   1.2s
[CV] c1=1.586571212896539, c2=0.014509503887024364 ...................
[CV]  c1=1.586571212896539, c2=0.014509503887024364, score=0.684561 -   1.1s
[CV] c1=0.016391745297519796, c2=0.03642629607397973 .................
[CV]  c1=0.016391745297519796, c2=0.03642629607397973, score=0.899689 -   1.1s
[CV] c1=0.21565946930765814, c2=0.10438232343412013 ..................
[CV]  c1=0.21565946930765814, c2=0.10438232343412013, score=0.877784 -   1.1s
[CV] c1=0.46404112015208304, c2=0.011231189422522618 .................
[CV]  c1=0.46404112015208304, c2=0.011231189422522618, score=0.863255 -   1.1s
[CV] c1=0.9679162418288665, c2=0.044033568213365876 ..................
[CV]  c1=0.9679162418288665, c2=0.044033568213365876, score=0.626819 -   1.1s
[CV] c1=0.08685247342717484, c2=0.010945563048258907 .................
[CV]  c1=0.08685247342717484, c2=0.010945563048258907, score=0.894934 -   1.1s
[CV] c1=0.9241495908433734, c2=0.01443620569300335 ...................
[CV]  c1=0.9241495908433734, c2=0.01443620569300335, score=0.641212 -   0.8s
[CV] c1=0.6009171532276203, c2=0.022560602852854023 ..................
[CV]  c1=0.6009171532276203, c2=0.022560602852854023, score=0.732494 -   1.1s
[CV] c1=0.6806083221000208, c2=0.0015445185292079452 .................
[CV]  c1=0.6806083221000208, c2=0.0015445185292079452, score=0.788634 -   1.0s
[CV] c1=0.26519551920565504, c2=0.07163741359181416 ..................
[CV]  c1=0.26519551920565504, c2=0.07163741359181416, score=0.809696 -   1.0s
[CV] c1=2.6819394929454945, c2=0.006419071517425965 ..................
[CV]  c1=2.6819394929454945, c2=0.006419071517425965, score=0.520395 -   1.0s
[CV] c1=1.0093898550607132, c2=0.06313381156236984 ...................
[CV]  c1=1.0093898550607132, c2=0.06313381156236984, score=0.821572 -   1.1s
[CV] c1=0.05015393677504569, c2=0.08692464824660819 ..................
[CV]  c1=0.05015393677504569, c2=0.08692464824660819, score=0.899464 -   1.1s
[CV] c1=0.29597444287242825, c2=0.0011772897837615968 ................
[CV]  c1=0.29597444287242825, c2=0.0011772897837615968, score=0.885314 -   1.1s
[CV] c1=0.10430438263055204, c2=0.01937206239539747 ..................
[CV]  c1=0.10430438263055204, c2=0.01937206239539747, score=0.892967 -   1.0s
[CV] c1=2.269555110936901, c2=0.01994111748156398 ....................
[CV]  c1=2.269555110936901, c2=0.01994111748156398, score=0.652626 -   1.0s
[CV] c1=0.21713244616829586, c2=0.04920875904958219 ..................
[CV]  c1=0.21713244616829586, c2=0.04920875904958219, score=0.895074 -   1.1s
[CV] c1=0.08685247342717484, c2=0.010945563048258907 .................
[CV]  c1=0.08685247342717484, c2=0.010945563048258907, score=0.827589 -   1.1s
[CV] c1=0.9241495908433734, c2=0.01443620569300335 ...................
[CV]  c1=0.9241495908433734, c2=0.01443620569300335, score=0.720525 -   1.0s
[CV] c1=0.4637378355323681, c2=0.0299995696634474 ....................
[CV]  c1=0.4637378355323681, c2=0.0299995696634474, score=0.725482 -   1.0s
[CV] c1=0.9989531477711957, c2=0.0038812050013617575 .................
[CV]  c1=0.9989531477711957, c2=0.0038812050013617575, score=0.835627 -   1.1s
[CV] c1=0.04331496042136797, c2=0.01521119658992789 ..................
[CV]  c1=0.04331496042136797, c2=0.01521119658992789, score=0.683195 -   0.8s
[CV] c1=0.5537815806317729, c2=0.03620675215830064 ...................
[CV]  c1=0.5537815806317729, c2=0.03620675215830064, score=0.798002 -   1.0s
[CV] c1=1.5507179021106103, c2=0.07496132741971476 ...................
[CV]  c1=1.5507179021106103, c2=0.07496132741971476, score=0.605137 -   1.1s
[CV] c1=0.0014821677089361922, c2=0.08337286118307417 ................
[CV]  c1=0.0014821677089361922, c2=0.08337286118307417, score=0.903396 -   1.1s
[CV] c1=1.1338522336044112, c2=0.09540108761305022 ...................
[CV]  c1=1.1338522336044112, c2=0.09540108761305022, score=0.778499 -   1.1s
[CV] c1=0.1445915914734329, c2=0.03734301524670186 ...................
[CV]  c1=0.1445915914734329, c2=0.03734301524670186, score=0.672408 -   0.9s
[CV] c1=0.32756062610299447, c2=0.003155387570338788 .................
[CV]  c1=0.32756062610299447, c2=0.003155387570338788, score=0.795712 -   1.1s
[CV] c1=1.38546322850174, c2=0.029014409221299664 ....................
[CV]  c1=1.38546322850174, c2=0.029014409221299664, score=0.610901 -   1.1s
[CV] c1=1.1800622672948204, c2=0.2251725962273687 ....................
[CV]  c1=1.1800622672948204, c2=0.2251725962273687, score=0.511812 -   0.9s
[CV] c1=0.24429795198331336, c2=0.006700580651803594 .................
[CV]  c1=0.24429795198331336, c2=0.006700580651803594, score=0.881629 -   1.1s
[CV] c1=0.4252785267877091, c2=0.022789053616376807 ..................
[CV]  c1=0.4252785267877091, c2=0.022789053616376807, score=0.760073 -   1.2s
[CV] c1=0.27334887881062087, c2=0.05365056929111528 ..................
[CV]  c1=0.27334887881062087, c2=0.05365056929111528, score=0.809696 -   1.0s
[CV] c1=0.01769232821918989, c2=0.09729621875041167 ..................
[CV]  c1=0.01769232821918989, c2=0.09729621875041167, score=0.832210 -   1.2s
[CV] c1=0.5537815806317729, c2=0.03620675215830064 ...................
[CV]  c1=0.5537815806317729, c2=0.03620675215830064, score=0.730540 -   1.1s
[CV] c1=1.5507179021106103, c2=0.07496132741971476 ...................
[CV]  c1=1.5507179021106103, c2=0.07496132741971476, score=0.549783 -   1.2s
[CV] c1=0.0014821677089361922, c2=0.08337286118307417 ................
[CV]  c1=0.0014821677089361922, c2=0.08337286118307417, score=0.813821 -   1.1s
[CV] c1=1.1338522336044112, c2=0.09540108761305022 ...................
[CV]  c1=1.1338522336044112, c2=0.09540108761305022, score=0.518840 -   0.9s
[CV] c1=0.06485141295871423, c2=0.09543550016899288 ..................
[CV]  c1=0.06485141295871423, c2=0.09543550016899288, score=0.781425 -   1.1s
[CV] c1=0.966253646302503, c2=0.02988131152877705 ....................
[CV]  c1=0.966253646302503, c2=0.02988131152877705, score=0.826352 -   1.1s
[CV] c1=1.38546322850174, c2=0.029014409221299664 ....................
[CV]  c1=1.38546322850174, c2=0.029014409221299664, score=0.523073 -   0.8s
[CV] c1=0.06405272696973713, c2=0.007858525694003344 .................
[CV]  c1=0.06405272696973713, c2=0.007858525694003344, score=0.676500 -   0.9s
[CV] c1=0.047154283669869304, c2=0.03807135139843089 .................
[CV]  c1=0.047154283669869304, c2=0.03807135139843089, score=0.824968 -   1.0s
[CV] c1=0.6735197158295594, c2=0.002828009715365975 ..................
[CV]  c1=0.6735197158295594, c2=0.002828009715365975, score=0.690704 -   0.9s
[CV] c1=0.030873622963942172, c2=2.2927855946129546e-05 ..............
[CV]  c1=0.030873622963942172, c2=2.2927855946129546e-05, score=0.848388 -   1.0s
[CV] c1=0.5182719208226855, c2=0.01023839862191722 ...................
[CV]  c1=0.5182719208226855, c2=0.01023839862191722, score=0.859272 -   1.1s
[CV] c1=0.4063833513739474, c2=0.11885252760711854 ...................
[CV]  c1=0.4063833513739474, c2=0.11885252760711854, score=0.772532 -   1.1s
[CV] c1=0.9241631283098553, c2=0.05085501849350568 ...................
[CV]  c1=0.9241631283098553, c2=0.05085501849350568, score=0.718789 -   1.1s
[CV] c1=0.07803255410891896, c2=0.022691281326800365 .................
[CV]  c1=0.07803255410891896, c2=0.022691281326800365, score=0.840721 -   1.0s
[CV] c1=0.2470957904003579, c2=0.01482887198822182 ...................
[CV]  c1=0.2470957904003579, c2=0.01482887198822182, score=0.837696 -   1.1s
[CV] c1=1.1338522336044112, c2=0.09540108761305022 ...................
[CV]  c1=1.1338522336044112, c2=0.09540108761305022, score=0.573058 -   1.1s
[CV] c1=0.5559200250577303, c2=0.09221277763152685 ...................
[CV]  c1=0.5559200250577303, c2=0.09221277763152685, score=0.700479 -   1.1s
[CV] c1=0.4584831813836262, c2=0.01783639295537388 ...................
[CV]  c1=0.4584831813836262, c2=0.01783639295537388, score=0.778595 -   1.2s
[CV] c1=0.21713244616829586, c2=0.04920875904958219 ..................
[CV]  c1=0.21713244616829586, c2=0.04920875904958219, score=0.791130 -   1.1s
[CV] c1=0.08685247342717484, c2=0.010945563048258907 .................
[CV]  c1=0.08685247342717484, c2=0.010945563048258907, score=0.846508 -   1.1s
[CV] c1=0.9241495908433734, c2=0.01443620569300335 ...................
[CV]  c1=0.9241495908433734, c2=0.01443620569300335, score=0.629757 -   1.1s
[CV] c1=0.32230009127546083, c2=0.026053218342524376 .................
[CV]  c1=0.32230009127546083, c2=0.026053218342524376, score=0.667923 -   0.9s
[CV] c1=0.5182719208226855, c2=0.01023839862191722 ...................
[CV]  c1=0.5182719208226855, c2=0.01023839862191722, score=0.784739 -   1.1s
[CV] c1=0.04331496042136797, c2=0.01521119658992789 ..................
[CV]  c1=0.04331496042136797, c2=0.01521119658992789, score=0.819077 -   1.2s
[CV] c1=0.04887039254834628, c2=0.024633069162840155 .................
[CV]  c1=0.04887039254834628, c2=0.024633069162840155, score=0.664619 -   0.9s
[CV] c1=0.00217868466039115, c2=0.005171872729007372 .................
[CV]  c1=0.00217868466039115, c2=0.005171872729007372, score=0.713390 -   0.9s
[CV] c1=1.682657720679361, c2=0.0023282702843674466 ..................
[CV]  c1=1.682657720679361, c2=0.0023282702843674466, score=0.684561 -   0.9s
[CV] c1=0.15182326137586297, c2=0.09421077967266668 ..................
[CV]  c1=0.15182326137586297, c2=0.09421077967266668, score=0.761151 -   1.2s
[CV] c1=0.06485141295871423, c2=0.09543550016899288 ..................
[CV]  c1=0.06485141295871423, c2=0.09543550016899288, score=0.884459 -   1.1s
[CV] c1=0.32756062610299447, c2=0.003155387570338788 .................
[CV]  c1=0.32756062610299447, c2=0.003155387570338788, score=0.714079 -   0.8s
[CV] c1=0.3351589255131935, c2=0.018064742639211623 ..................
[CV]  c1=0.3351589255131935, c2=0.018064742639211623, score=0.792128 -   1.2s
[CV] c1=0.06405272696973713, c2=0.007858525694003344 .................
[CV]  c1=0.06405272696973713, c2=0.007858525694003344, score=0.778183 -   1.2s
[CV] c1=0.24429795198331336, c2=0.006700580651803594 .................
[CV]  c1=0.24429795198331336, c2=0.006700580651803594, score=0.815374 -   1.2s
[CV] c1=1.3289983607356612, c2=0.06713974176830143 ...................
[CV]  c1=1.3289983607356612, c2=0.06713974176830143, score=0.558477 -   1.2s
[CV] c1=0.058966892906616206, c2=0.010722716072599415 ................
[CV]  c1=0.058966892906616206, c2=0.010722716072599415, score=0.776256 -   1.1s
[CV] c1=0.26519551920565504, c2=0.07163741359181416 ..................
[CV]  c1=0.26519551920565504, c2=0.07163741359181416, score=0.750005 -   1.2s
[CV] c1=0.9241631283098553, c2=0.05085501849350568 ...................
[CV]  c1=0.9241631283098553, c2=0.05085501849350568, score=0.660853 -   1.0s
[CV] c1=1.0093898550607132, c2=0.06313381156236984 ...................
[CV]  c1=1.0093898550607132, c2=0.06313381156236984, score=0.713277 -   1.0s
[CV] c1=0.19428375218713267, c2=0.1072604219376388 ...................
[CV]  c1=0.19428375218713267, c2=0.1072604219376388, score=0.751499 -   1.1s
[CV] c1=0.016391745297519796, c2=0.03642629607397973 .................
[CV]  c1=0.016391745297519796, c2=0.03642629607397973, score=0.809100 -   1.1s
[CV] c1=0.10430438263055204, c2=0.01937206239539747 ..................
[CV]  c1=0.10430438263055204, c2=0.01937206239539747, score=0.807249 -   1.1s
[CV] c1=2.269555110936901, c2=0.01994111748156398 ....................
[CV]  c1=2.269555110936901, c2=0.01994111748156398, score=0.508404 -   1.2s
[CV] c1=0.3920429244243515, c2=0.0003105295710314177 .................
[CV]  c1=0.3920429244243515, c2=0.0003105295710314177, score=0.755452 -   1.1s
[CV] c1=0.047154283669869304, c2=0.03807135139843089 .................
[CV]  c1=0.047154283669869304, c2=0.03807135139843089, score=0.773043 -   1.1s
[CV] c1=0.10649922048165489, c2=0.06679508331824632 ..................
[CV]  c1=0.10649922048165489, c2=0.06679508331824632, score=0.668577 -   0.8s
[CV] c1=0.4637378355323681, c2=0.0299995696634474 ....................
[CV]  c1=0.4637378355323681, c2=0.0299995696634474, score=0.832488 -   1.0s
[CV] c1=0.9989531477711957, c2=0.0038812050013617575 .................
[CV]  c1=0.9989531477711957, c2=0.0038812050013617575, score=0.668800 -   1.1s
[CV] c1=0.04331496042136797, c2=0.01521119658992789 ..................
[CV]  c1=0.04331496042136797, c2=0.01521119658992789, score=0.824968 -   1.0s
[CV] c1=0.9057847668798739, c2=0.014788996854031644 ..................
[CV]  c1=0.9057847668798739, c2=0.014788996854031644, score=0.828599 -   1.1s
[CV] c1=0.00217868466039115, c2=0.005171872729007372 .................
[CV]  c1=0.00217868466039115, c2=0.005171872729007372, score=0.871680 -   1.0s
[CV] c1=1.023463193233515, c2=0.054432097216703106 ...................
[CV]  c1=1.023463193233515, c2=0.054432097216703106, score=0.656315 -   1.2s
[CV] c1=1.8895926196372141, c2=0.039131124880354695 ..................
[CV]  c1=1.8895926196372141, c2=0.039131124880354695, score=0.595428 -   1.1s
[CV] c1=0.19084936585711326, c2=0.016158001686309997 .................
[CV]  c1=0.19084936585711326, c2=0.016158001686309997, score=0.770329 -   1.3s
[CV] c1=0.4584831813836262, c2=0.01783639295537388 ...................
[CV]  c1=0.4584831813836262, c2=0.01783639295537388, score=0.832488 -   1.0s
[CV] c1=0.1005651513627764, c2=0.08599894835046414 ...................
[CV]  c1=0.1005651513627764, c2=0.08599894835046414, score=0.761523 -   1.2s
[CV] c1=0.08685247342717484, c2=0.010945563048258907 .................
[CV]  c1=0.08685247342717484, c2=0.010945563048258907, score=0.653633 -   0.9s
[CV] c1=1.0011373930747762, c2=0.04166131681999403 ...................
[CV]  c1=1.0011373930747762, c2=0.04166131681999403, score=0.626819 -   1.1s
[CV] c1=0.030873622963942172, c2=2.2927855946129546e-05 ..............
[CV]  c1=0.030873622963942172, c2=2.2927855946129546e-05, score=0.775924 -   1.1s
[CV] c1=0.9989531477711957, c2=0.0038812050013617575 .................
[CV]  c1=0.9989531477711957, c2=0.0038812050013617575, score=0.629757 -   1.2s
[CV] c1=0.021817354113773405, c2=0.08190760154718163 .................
[CV]  c1=0.021817354113773405, c2=0.08190760154718163, score=0.676534 -   0.9s
[CV] c1=0.9057847668798739, c2=0.014788996854031644 ..................
[CV]  c1=0.9057847668798739, c2=0.014788996854031644, score=0.644347 -   0.9s
[CV] c1=0.07803255410891896, c2=0.022691281326800365 .................
[CV]  c1=0.07803255410891896, c2=0.022691281326800365, score=0.661021 -   0.9s
[CV] c1=0.0014821677089361922, c2=0.08337286118307417 ................
[CV]  c1=0.0014821677089361922, c2=0.08337286118307417, score=0.849533 -   1.0s
[CV] c1=1.8895926196372141, c2=0.039131124880354695 ..................
[CV]  c1=1.8895926196372141, c2=0.039131124880354695, score=0.684790 -   1.0s
[CV] c1=0.06485141295871423, c2=0.09543550016899288 ..................
[CV]  c1=0.06485141295871423, c2=0.09543550016899288, score=0.791359 -   1.1s
[CV] c1=0.966253646302503, c2=0.02988131152877705 ....................
[CV]  c1=0.966253646302503, c2=0.02988131152877705, score=0.662977 -   1.1s
[CV] c1=0.553519399869687, c2=0.1711922438497456 .....................
[CV]  c1=0.553519399869687, c2=0.1711922438497456, score=0.825333 -   1.1s
[CV] c1=0.5739849840970529, c2=0.10341357770773976 ...................
[CV]  c1=0.5739849840970529, c2=0.10341357770773976, score=0.829717 -   1.1s
[CV] c1=0.08055062919581613, c2=0.030815941882287597 .................
[CV]  c1=0.08055062919581613, c2=0.030815941882287597, score=0.827257 -   1.0s
[CV] c1=0.000759865671322364, c2=0.03558403356854586 .................
[CV]  c1=0.000759865671322364, c2=0.03558403356854586, score=0.817505 -   1.1s
[CV] c1=0.058966892906616206, c2=0.010722716072599415 ................
[CV]  c1=0.058966892906616206, c2=0.010722716072599415, score=0.827860 -   1.1s
[CV] c1=0.42434987412735586, c2=0.025315486184378785 .................
[CV]  c1=0.42434987412735586, c2=0.025315486184378785, score=0.830027 -   1.1s
[CV] c1=2.6819394929454945, c2=0.006419071517425965 ..................
[CV]  c1=2.6819394929454945, c2=0.006419071517425965, score=0.625613 -   1.1s
[CV] c1=1.0093898550607132, c2=0.06313381156236984 ...................
[CV]  c1=1.0093898550607132, c2=0.06313381156236984, score=0.660853 -   1.1s
[CV] c1=1.682657720679361, c2=0.0023282702843674466 ..................
[CV]  c1=1.682657720679361, c2=0.0023282702843674466, score=0.607121 -   0.9s
[CV] c1=0.038330447322724136, c2=0.10324818200285223 .................
[CV]  c1=0.038330447322724136, c2=0.10324818200285223, score=0.899464 -   1.1s
[CV] c1=0.641645174629541, c2=0.0074935829130936445 ..................
[CV]  c1=0.641645174629541, c2=0.0074935829130936445, score=0.823731 -   1.1s
[CV] c1=0.028261015884029777, c2=0.010750930647103023 ................
[CV]  c1=0.028261015884029777, c2=0.010750930647103023, score=0.776627 -   1.2s
[CV] c1=1.38546322850174, c2=0.029014409221299664 ....................
[CV]  c1=1.38546322850174, c2=0.029014409221299664, score=0.793697 -   1.2s
[CV] c1=1.1800622672948204, c2=0.2251725962273687 ....................
[CV]  c1=1.1800622672948204, c2=0.2251725962273687, score=0.598400 -   1.1s
[CV] c1=0.06746606571624555, c2=0.026030645057851434 .................
[CV]  c1=0.06746606571624555, c2=0.026030645057851434, score=0.776256 -   1.3s
[CV] c1=0.6009171532276203, c2=0.022560602852854023 ..................
[CV]  c1=0.6009171532276203, c2=0.022560602852854023, score=0.799173 -   1.1s
[CV] c1=0.5182719208226855, c2=0.01023839862191722 ...................
[CV]  c1=0.5182719208226855, c2=0.01023839862191722, score=0.693842 -   1.0s
[CV] c1=0.4063833513739474, c2=0.11885252760711854 ...................
[CV]  c1=0.4063833513739474, c2=0.11885252760711854, score=0.840940 -   1.1s
[CV] c1=0.9241631283098553, c2=0.05085501849350568 ...................
[CV]  c1=0.9241631283098553, c2=0.05085501849350568, score=0.826352 -   1.1s
[CV] c1=0.07803255410891896, c2=0.022691281326800365 .................
[CV]  c1=0.07803255410891896, c2=0.022691281326800365, score=0.886539 -   1.1s
[CV] c1=0.05015393677504569, c2=0.08692464824660819 ..................
[CV]  c1=0.05015393677504569, c2=0.08692464824660819, score=0.813821 -   1.2s
[CV] c1=0.29597444287242825, c2=0.0011772897837615968 ................
[CV]  c1=0.29597444287242825, c2=0.0011772897837615968, score=0.795483 -   1.1s
[CV] c1=0.48492753470940597, c2=0.022722245734558694 .................
[CV]  c1=0.48492753470940597, c2=0.022722245734558694, score=0.680910 -   0.8s
[CV] c1=0.46404112015208304, c2=0.011231189422522618 .................
[CV]  c1=0.46404112015208304, c2=0.011231189422522618, score=0.696758 -   0.8s
[CV] c1=0.553519399869687, c2=0.1711922438497456 .....................
[CV]  c1=0.553519399869687, c2=0.1711922438497456, score=0.759566 -   1.1s
[CV] c1=0.260196952923773, c2=0.008148420543050556 ...................
[CV]  c1=0.260196952923773, c2=0.008148420543050556, score=0.797017 -   1.1s
[CV] c1=0.036697724901602335, c2=0.017372595114945193 ................
[CV]  c1=0.036697724901602335, c2=0.017372595114945193, score=0.885305 -   1.1s
[CV] c1=0.030873622963942172, c2=2.2927855946129546e-05 ..............
[CV]  c1=0.030873622963942172, c2=2.2927855946129546e-05, score=0.703055 -   0.8s
[CV] c1=0.058966892906616206, c2=0.010722716072599415 ................
[CV]  c1=0.058966892906616206, c2=0.010722716072599415, score=0.830028 -   1.1s
[CV] c1=0.26519551920565504, c2=0.07163741359181416 ..................
[CV]  c1=0.26519551920565504, c2=0.07163741359181416, score=0.871726 -   1.1s
[CV] c1=2.6819394929454945, c2=0.006419071517425965 ..................
[CV]  c1=2.6819394929454945, c2=0.006419071517425965, score=0.578186 -   1.2s
[CV] c1=0.07803255410891896, c2=0.022691281326800365 .................
[CV]  c1=0.07803255410891896, c2=0.022691281326800365, score=0.805677 -   1.1s
[CV] c1=1.023463193233515, c2=0.054432097216703106 ...................
[CV]  c1=1.023463193233515, c2=0.054432097216703106, score=0.713277 -   0.9s
[CV] c1=0.038330447322724136, c2=0.10324818200285223 .................
[CV]  c1=0.038330447322724136, c2=0.10324818200285223, score=0.674035 -   0.9s
[CV] c1=0.384577013201829, c2=0.10323881543368357 ....................
[CV]  c1=0.384577013201829, c2=0.10323881543368357, score=0.717550 -   1.2s
[CV] c1=0.028261015884029777, c2=0.010750930647103023 ................
[CV]  c1=0.028261015884029777, c2=0.010750930647103023, score=0.687681 -   0.8s
[CV] c1=0.3351589255131935, c2=0.018064742639211623 ..................
[CV]  c1=0.3351589255131935, c2=0.018064742639211623, score=0.665047 -   0.9s
[CV] c1=0.9679162418288665, c2=0.044033568213365876 ..................
[CV]  c1=0.9679162418288665, c2=0.044033568213365876, score=0.587707 -   0.9s
[CV] c1=0.5739849840970529, c2=0.10341357770773976 ...................
[CV]  c1=0.5739849840970529, c2=0.10341357770773976, score=0.777757 -   1.1s
[CV] c1=1.0011373930747762, c2=0.04166131681999403 ...................
[CV]  c1=1.0011373930747762, c2=0.04166131681999403, score=0.582684 -   0.8s
[CV] c1=0.000759865671322364, c2=0.03558403356854586 .................
[CV]  c1=0.000759865671322364, c2=0.03558403356854586, score=0.899689 -   1.1s
[CV] c1=0.27334887881062087, c2=0.05365056929111528 ..................
[CV]  c1=0.27334887881062087, c2=0.05365056929111528, score=0.800443 -   1.2s
[CV] c1=0.42434987412735586, c2=0.025315486184378785 .................
[CV]  c1=0.42434987412735586, c2=0.025315486184378785, score=0.778595 -   1.2s
[CV] c1=2.6819394929454945, c2=0.006419071517425965 ..................
[CV]  c1=2.6819394929454945, c2=0.006419071517425965, score=0.482427 -   1.2s
[CV] c1=0.07803255410891896, c2=0.022691281326800365 .................
[CV]  c1=0.07803255410891896, c2=0.022691281326800365, score=0.770112 -   1.1s
[CV] c1=1.023463193233515, c2=0.054432097216703106 ...................
[CV]  c1=1.023463193233515, c2=0.054432097216703106, score=0.817442 -   0.9s
[CV] c1=0.15182326137586297, c2=0.09421077967266668 ..................
[CV]  c1=0.15182326137586297, c2=0.09421077967266668, score=0.803909 -   1.1s
[CV] c1=0.384577013201829, c2=0.10323881543368357 ....................
[CV]  c1=0.384577013201829, c2=0.10323881543368357, score=0.772532 -   1.0s
[CV] c1=0.48492753470940597, c2=0.022722245734558694 .................
[CV]  c1=0.48492753470940597, c2=0.022722245734558694, score=0.832488 -   1.1s
[CV] c1=0.15301242275565224, c2=0.035704503459572115 .................
[CV]  c1=0.15301242275565224, c2=0.035704503459572115, score=0.878521 -   1.1s
[CV] c1=0.06405272696973713, c2=0.007858525694003344 .................
[CV]  c1=0.06405272696973713, c2=0.007858525694003344, score=0.845520 -   1.0s
[CV] c1=1.3408166744809271, c2=0.03032182401773777 ...................
[CV]  c1=1.3408166744809271, c2=0.03032182401773777, score=0.616019 -   1.1s
[CV] c1=0.10649922048165489, c2=0.06679508331824632 ..................
[CV]  c1=0.10649922048165489, c2=0.06679508331824632, score=0.772672 -   1.3s
[CV] c1=0.27334887881062087, c2=0.05365056929111528 ..................
[CV]  c1=0.27334887881062087, c2=0.05365056929111528, score=0.767272 -   1.1s
[CV] c1=0.42434987412735586, c2=0.025315486184378785 .................
[CV]  c1=0.42434987412735586, c2=0.025315486184378785, score=0.871161 -   1.1s
[CV] c1=0.5537815806317729, c2=0.03620675215830064 ...................
[CV]  c1=0.5537815806317729, c2=0.03620675215830064, score=0.765786 -   1.2s
[CV] c1=1.0093898550607132, c2=0.06313381156236984 ...................
[CV]  c1=1.0093898550607132, c2=0.06313381156236984, score=0.589773 -   1.1s
[CV] c1=0.7514335282742236, c2=0.0008512627183757363 .................
[CV]  c1=0.7514335282742236, c2=0.0008512627183757363, score=0.697058 -   1.1s
[CV] c1=0.07069701382439365, c2=0.07961979792037131 ..................
[CV]  c1=0.07069701382439365, c2=0.07961979792037131, score=0.672631 -   0.8s
[CV] c1=0.384577013201829, c2=0.10323881543368357 ....................
[CV]  c1=0.384577013201829, c2=0.10323881543368357, score=0.777850 -   1.0s
[CV] c1=0.48492753470940597, c2=0.022722245734558694 .................
[CV]  c1=0.48492753470940597, c2=0.022722245734558694, score=0.785016 -   1.1s
[CV] c1=0.15301242275565224, c2=0.035704503459572115 .................
[CV]  c1=0.15301242275565224, c2=0.035704503459572115, score=0.795658 -   1.1s
[CV] c1=0.06405272696973713, c2=0.007858525694003344 .................
[CV]  c1=0.06405272696973713, c2=0.007858525694003344, score=0.821277 -   1.1s
[CV] c1=1.3408166744809271, c2=0.03032182401773777 ...................
[CV]  c1=1.3408166744809271, c2=0.03032182401773777, score=0.565236 -   1.1s
[CV] c1=0.4252785267877091, c2=0.022789053616376807 ..................
[CV]  c1=0.4252785267877091, c2=0.022789053616376807, score=0.680910 -   0.9s
[CV] c1=0.7141966522774261, c2=0.1282453850325421 ....................
[CV]  c1=0.7141966522774261, c2=0.1282453850325421, score=0.611956 -   0.9s
[CV] c1=0.004792697338661991, c2=0.06096858340950152 .................
[CV]  c1=0.004792697338661991, c2=0.06096858340950152, score=0.899689 -   1.1s
[CV] c1=0.021817354113773405, c2=0.08190760154718163 .................
[CV]  c1=0.021817354113773405, c2=0.08190760154718163, score=0.897578 -   1.1s
[CV] c1=0.04887039254834628, c2=0.024633069162840155 .................
[CV]  c1=0.04887039254834628, c2=0.024633069162840155, score=0.895079 -   1.1s
[CV] c1=0.11360811427959656, c2=0.05511342184733731 ..................
[CV]  c1=0.11360811427959656, c2=0.05511342184733731, score=0.668577 -   0.9s
[CV] c1=1.586571212896539, c2=0.014509503887024364 ...................
[CV]  c1=1.586571212896539, c2=0.014509503887024364, score=0.607006 -   1.1s
[CV] c1=0.8080977170165776, c2=0.04170115654950744 ...................
[CV]  c1=0.8080977170165776, c2=0.04170115654950744, score=0.672374 -   1.1s
[CV] c1=0.21565946930765814, c2=0.10438232343412013 ..................
[CV]  c1=0.21565946930765814, c2=0.10438232343412013, score=0.800506 -   1.1s
[CV] c1=0.46404112015208304, c2=0.011231189422522618 .................
[CV]  c1=0.46404112015208304, c2=0.011231189422522618, score=0.830027 -   1.0s
[CV] c1=0.9679162418288665, c2=0.044033568213365876 ..................
[CV]  c1=0.9679162418288665, c2=0.044033568213365876, score=0.826370 -   1.1s
[CV] c1=0.6100969254490771, c2=0.07700074329622246 ...................
[CV]  c1=0.6100969254490771, c2=0.07700074329622246, score=0.642515 -   0.9s
[CV] c1=0.08055062919581613, c2=0.030815941882287597 .................
[CV]  c1=0.08055062919581613, c2=0.030815941882287597, score=0.770112 -   1.1s
[CV] c1=0.6009171532276203, c2=0.022560602852854023 ..................
[CV]  c1=0.6009171532276203, c2=0.022560602852854023, score=0.687768 -   0.9s
[CV] c1=0.27334887881062087, c2=0.05365056929111528 ..................
[CV]  c1=0.27334887881062087, c2=0.05365056929111528, score=0.660714 -   0.9s
[CV] c1=0.8385351533335189, c2=0.08411228141310506 ...................
[CV]  c1=0.8385351533335189, c2=0.08411228141310506, score=0.821590 -   1.1s
[CV] c1=0.5489664169150476, c2=0.0402913799366951 ....................
[CV]  c1=0.5489664169150476, c2=0.0402913799366951, score=0.654048 -   0.8s
[CV] c1=1.5661094316136437, c2=0.12568881161063872 ...................
[CV]  c1=1.5661094316136437, c2=0.12568881161063872, score=0.682133 -   1.1s
[CV] c1=2.1013414913214334, c2=0.023194433361359176 ..................
[CV]  c1=2.1013414913214334, c2=0.023194433361359176, score=0.480422 -   0.7s
[CV] c1=1.023463193233515, c2=0.054432097216703106 ...................
[CV]  c1=1.023463193233515, c2=0.054432097216703106, score=0.626819 -   1.2s
[CV] c1=1.8895926196372141, c2=0.039131124880354695 ..................
[CV]  c1=1.8895926196372141, c2=0.039131124880354695, score=0.521892 -   1.2s
[CV] c1=0.5559200250577303, c2=0.09221277763152685 ...................
[CV]  c1=0.5559200250577303, c2=0.09221277763152685, score=0.772227 -   1.1s
[CV] c1=0.46404112015208304, c2=0.011231189422522618 .................
[CV]  c1=0.46404112015208304, c2=0.011231189422522618, score=0.748985 -   1.1s
[CV] c1=0.9679162418288665, c2=0.044033568213365876 ..................
[CV]  c1=0.9679162418288665, c2=0.044033568213365876, score=0.718789 -   1.1s
[CV] c1=0.6100969254490771, c2=0.07700074329622246 ...................
[CV]  c1=0.6100969254490771, c2=0.07700074329622246, score=0.702626 -   1.1s
[CV] c1=0.036697724901602335, c2=0.017372595114945193 ................
[CV]  c1=0.036697724901602335, c2=0.017372595114945193, score=0.776256 -   1.2s
[CV] c1=0.4637378355323681, c2=0.0299995696634474 ....................
[CV]  c1=0.4637378355323681, c2=0.0299995696634474, score=0.784962 -   1.1s
[CV] c1=0.004792697338661991, c2=0.06096858340950152 .................
[CV]  c1=0.004792697338661991, c2=0.06096858340950152, score=0.678236 -   0.9s
[CV] c1=0.04331496042136797, c2=0.01521119658992789 ..................
[CV]  c1=0.04331496042136797, c2=0.01521119658992789, score=0.899689 -   1.1s
[CV] c1=0.9057847668798739, c2=0.014788996854031644 ..................
[CV]  c1=0.9057847668798739, c2=0.014788996854031644, score=0.685167 -   1.1s
[CV] c1=0.00217868466039115, c2=0.005171872729007372 .................
[CV]  c1=0.00217868466039115, c2=0.005171872729007372, score=0.818512 -   0.9s
[CV] c1=1.586571212896539, c2=0.014509503887024364 ...................
[CV]  c1=1.586571212896539, c2=0.014509503887024364, score=0.537862 -   1.1s
[CV] c1=0.016391745297519796, c2=0.03642629607397973 .................
[CV]  c1=0.016391745297519796, c2=0.03642629607397973, score=0.817505 -   1.0s
[CV] c1=0.21565946930765814, c2=0.10438232343412013 ..................
[CV]  c1=0.21565946930765814, c2=0.10438232343412013, score=0.757244 -   1.2s
[CV] c1=2.269555110936901, c2=0.01994111748156398 ....................
[CV]  c1=2.269555110936901, c2=0.01994111748156398, score=0.584167 -   1.1s
[CV] c1=0.21713244616829586, c2=0.04920875904958219 ..................
[CV]  c1=0.21713244616829586, c2=0.04920875904958219, score=0.773683 -   1.1s
[CV] c1=0.08685247342717484, c2=0.010945563048258907 .................
[CV]  c1=0.08685247342717484, c2=0.010945563048258907, score=0.778183 -   1.1s
[CV] c1=0.6735197158295594, c2=0.002828009715365975 ..................
[CV]  c1=0.6735197158295594, c2=0.002828009715365975, score=0.721522 -   1.1s
[CV] c1=0.32230009127546083, c2=0.026053218342524376 .................
[CV]  c1=0.32230009127546083, c2=0.026053218342524376, score=0.775326 -   1.2s
[CV] c1=0.004792697338661991, c2=0.06096858340950152 .................
[CV]  c1=0.004792697338661991, c2=0.06096858340950152, score=0.801334 -   1.1s
[CV] c1=0.0376580578128403, c2=0.007307182157801905 ..................
[CV]  c1=0.0376580578128403, c2=0.007307182157801905, score=0.698781 -   0.9s
[CV] c1=0.04887039254834628, c2=0.024633069162840155 .................
[CV]  c1=0.04887039254834628, c2=0.024633069162840155, score=0.830028 -   1.0s
[CV] c1=0.11360811427959656, c2=0.05511342184733731 ..................
[CV]  c1=0.11360811427959656, c2=0.05511342184733731, score=0.801994 -   0.9s
[CV] c1=0.2470957904003579, c2=0.01482887198822182 ...................
[CV]  c1=0.2470957904003579, c2=0.01482887198822182, score=0.774401 -   1.1s
[CV] c1=0.8080977170165776, c2=0.04170115654950744 ...................
[CV]  c1=0.8080977170165776, c2=0.04170115654950744, score=0.791575 -   1.0s
[CV] c1=0.5559200250577303, c2=0.09221277763152685 ...................
[CV]  c1=0.5559200250577303, c2=0.09221277763152685, score=0.642515 -   0.9s
[CV] c1=0.966253646302503, c2=0.02988131152877705 ....................
[CV]  c1=0.966253646302503, c2=0.02988131152877705, score=0.591761 -   0.8s
[CV] c1=0.15301242275565224, c2=0.035704503459572115 .................
[CV]  c1=0.15301242275565224, c2=0.035704503459572115, score=0.772915 -   1.1s
[CV] c1=0.1399037138978219, c2=0.03208034196861651 ...................
[CV]  c1=0.1399037138978219, c2=0.03208034196861651, score=0.672408 -   0.9s
[CV] c1=1.3408166744809271, c2=0.03032182401773777 ...................
[CV]  c1=1.3408166744809271, c2=0.03032182401773777, score=0.792319 -   1.0s
[CV] c1=0.10649922048165489, c2=0.06679508331824632 ..................
[CV]  c1=0.10649922048165489, c2=0.06679508331824632, score=0.884459 -   1.1s
[CV] c1=0.7141966522774261, c2=0.1282453850325421 ....................
[CV]  c1=0.7141966522774261, c2=0.1282453850325421, score=0.664771 -   1.1s
[CV] c1=0.6139338022423636, c2=0.19984250550673963 ...................
[CV]  c1=0.6139338022423636, c2=0.19984250550673963, score=0.652133 -   1.1s
[CV] c1=0.0376580578128403, c2=0.007307182157801905 ..................
[CV]  c1=0.0376580578128403, c2=0.007307182157801905, score=0.771737 -   1.1s
[CV] c1=0.14180541463530005, c2=0.013356782941838577 .................
[CV]  c1=0.14180541463530005, c2=0.013356782941838577, score=0.660439 -   0.9s
[CV] c1=2.1013414913214334, c2=0.023194433361359176 ..................
[CV]  c1=2.1013414913214334, c2=0.023194433361359176, score=0.652626 -   0.9s
[CV] c1=0.2470957904003579, c2=0.01482887198822182 ...................
[CV]  c1=0.2470957904003579, c2=0.01482887198822182, score=0.798273 -   1.1s
[CV] c1=0.8080977170165776, c2=0.04170115654950744 ...................
[CV]  c1=0.8080977170165776, c2=0.04170115654950744, score=0.825363 -   1.0s
[CV] c1=0.1445915914734329, c2=0.03734301524670186 ...................
[CV]  c1=0.1445915914734329, c2=0.03734301524670186, score=0.833524 -   1.1s
[CV] c1=1.1692965346749342, c2=0.15426502346877313 ...................
[CV]  c1=1.1692965346749342, c2=0.15426502346877313, score=0.660970 -   1.0s
[CV] c1=0.553519399869687, c2=0.1711922438497456 .....................
[CV]  c1=0.553519399869687, c2=0.1711922438497456, score=0.657592 -   1.1s
[CV] c1=0.260196952923773, c2=0.008148420543050556 ...................
[CV]  c1=0.260196952923773, c2=0.008148420543050556, score=0.881629 -   1.1s
[CV] c1=1.0011373930747762, c2=0.04166131681999403 ...................
[CV]  c1=1.0011373930747762, c2=0.04166131681999403, score=0.718789 -   1.0s
[CV] c1=0.030873622963942172, c2=2.2927855946129546e-05 ..............
[CV]  c1=0.030873622963942172, c2=2.2927855946129546e-05, score=0.884124 -   1.1s
[CV] c1=0.5182719208226855, c2=0.01023839862191722 ...................
[CV]  c1=0.5182719208226855, c2=0.01023839862191722, score=0.732643 -   1.1s
[CV] c1=0.4063833513739474, c2=0.11885252760711854 ...................
[CV]  c1=0.4063833513739474, c2=0.11885252760711854, score=0.777850 -   1.1s
[CV] c1=0.9057847668798739, c2=0.014788996854031644 ..................
[CV]  c1=0.9057847668798739, c2=0.014788996854031644, score=0.720525 -   1.1s
[CV] c1=0.00217868466039115, c2=0.005171872729007372 .................
[CV]  c1=0.00217868466039115, c2=0.005171872729007372, score=0.851162 -   0.9s
[CV] c1=0.7514335282742236, c2=0.0008512627183757363 .................
[CV]  c1=0.7514335282742236, c2=0.0008512627183757363, score=0.843069 -   1.1s
[CV] c1=0.07069701382439365, c2=0.07961979792037131 ..................
[CV]  c1=0.07069701382439365, c2=0.07961979792037131, score=0.796735 -   1.2s
[CV] c1=0.1445915914734329, c2=0.03734301524670186 ...................
[CV]  c1=0.1445915914734329, c2=0.03734301524670186, score=0.803566 -   1.1s
[CV] c1=1.1692965346749342, c2=0.15426502346877313 ...................
[CV]  c1=1.1692965346749342, c2=0.15426502346877313, score=0.556614 -   1.1s
[CV] c1=0.1005651513627764, c2=0.08599894835046414 ...................
[CV]  c1=0.1005651513627764, c2=0.08599894835046414, score=0.809117 -   1.1s
[CV] c1=0.260196952923773, c2=0.008148420543050556 ...................
[CV]  c1=0.260196952923773, c2=0.008148420543050556, score=0.792128 -   1.1s
[CV] c1=0.9241495908433734, c2=0.01443620569300335 ...................
[CV]  c1=0.9241495908433734, c2=0.01443620569300335, score=0.831319 -   1.2s
[CV] c1=0.32230009127546083, c2=0.026053218342524376 .................
[CV]  c1=0.32230009127546083, c2=0.026053218342524376, score=0.873403 -   1.1s
[CV] c1=0.004792697338661991, c2=0.06096858340950152 .................
[CV]  c1=0.004792697338661991, c2=0.06096858340950152, score=0.817505 -   1.2s
[CV] c1=0.0376580578128403, c2=0.007307182157801905 ..................
[CV]  c1=0.0376580578128403, c2=0.007307182157801905, score=0.879754 -   1.1s
[CV] c1=1.5661094316136437, c2=0.12568881161063872 ...................
[CV]  c1=1.5661094316136437, c2=0.12568881161063872, score=0.502999 -   0.8s
[CV] c1=0.11360811427959656, c2=0.05511342184733731 ..................
[CV]  c1=0.11360811427959656, c2=0.05511342184733731, score=0.884459 -   1.0s
[CV] c1=1.682657720679361, c2=0.0023282702843674466 ..................
[CV]  c1=1.682657720679361, c2=0.0023282702843674466, score=0.537623 -   1.2s
[CV] c1=0.07069701382439365, c2=0.07961979792037131 ..................
[CV]  c1=0.07069701382439365, c2=0.07961979792037131, score=0.818006 -   1.1s
[CV] c1=0.19084936585711326, c2=0.016158001686309997 .................
[CV]  c1=0.19084936585711326, c2=0.016158001686309997, score=0.878698 -   1.1s
[CV] c1=0.966253646302503, c2=0.02988131152877705 ....................
[CV]  c1=0.966253646302503, c2=0.02988131152877705, score=0.743300 -   1.0s
[CV] c1=1.38546322850174, c2=0.029014409221299664 ....................
[CV]  c1=1.38546322850174, c2=0.029014409221299664, score=0.679197 -   1.2s
[CV] c1=0.5739849840970529, c2=0.10341357770773976 ...................
[CV]  c1=0.5739849840970529, c2=0.10341357770773976, score=0.695971 -   1.1s
[CV] c1=1.0011373930747762, c2=0.04166131681999403 ...................
[CV]  c1=1.0011373930747762, c2=0.04166131681999403, score=0.820489 -   1.1s
[CV] c1=0.6009171532276203, c2=0.022560602852854023 ..................
[CV]  c1=0.6009171532276203, c2=0.022560602852854023, score=0.765786 -   1.2s
[CV] c1=0.5182719208226855, c2=0.01023839862191722 ...................
[CV]  c1=0.5182719208226855, c2=0.01023839862191722, score=0.830027 -   1.0s
[CV] c1=0.4063833513739474, c2=0.11885252760711854 ...................
[CV]  c1=0.4063833513739474, c2=0.11885252760711854, score=0.713397 -   1.1s
[CV] c1=0.9241631283098553, c2=0.05085501849350568 ...................
[CV]  c1=0.9241631283098553, c2=0.05085501849350568, score=0.626819 -   1.1s
[CV] c1=0.00217868466039115, c2=0.005171872729007372 .................
[CV]  c1=0.00217868466039115, c2=0.005171872729007372, score=0.850161 -   1.2s
[CV] c1=0.0014821677089361922, c2=0.08337286118307417 ................
[CV]  c1=0.0014821677089361922, c2=0.08337286118307417, score=0.681813 -   0.8s
[CV] c1=0.038330447322724136, c2=0.10324818200285223 .................
[CV]  c1=0.038330447322724136, c2=0.10324818200285223, score=0.811219 -   1.0s
[CV] c1=0.641645174629541, c2=0.0074935829130936445 ..................
[CV]  c1=0.641645174629541, c2=0.0074935829130936445, score=0.690704 -   0.9s
[CV] c1=0.48492753470940597, c2=0.022722245734558694 .................
[CV]  c1=0.48492753470940597, c2=0.022722245734558694, score=0.736589 -   1.1s
[CV] c1=0.3351589255131935, c2=0.018064742639211623 ..................
[CV]  c1=0.3351589255131935, c2=0.018064742639211623, score=0.835236 -   1.0s
[CV] c1=0.3920429244243515, c2=0.0003105295710314177 .................
[CV]  c1=0.3920429244243515, c2=0.0003105295710314177, score=0.835236 -   1.0s
[CV] c1=0.047154283669869304, c2=0.03807135139843089 .................
[CV]  c1=0.047154283669869304, c2=0.03807135139843089, score=0.817505 -   1.1s
[CV] c1=0.6735197158295594, c2=0.002828009715365975 ..................
[CV]  c1=0.6735197158295594, c2=0.002828009715365975, score=0.767962 -   1.2s
[CV] c1=0.32230009127546083, c2=0.026053218342524376 .................
[CV]  c1=0.32230009127546083, c2=0.026053218342524376, score=0.789338 -   1.2s
[CV] c1=0.6139338022423636, c2=0.19984250550673963 ...................
[CV]  c1=0.6139338022423636, c2=0.19984250550673963, score=0.679154 -   1.1s
[CV] c1=0.0376580578128403, c2=0.007307182157801905 ..................
[CV]  c1=0.0376580578128403, c2=0.007307182157801905, score=0.843793 -   1.1s
[CV] c1=0.14180541463530005, c2=0.013356782941838577 .................
[CV]  c1=0.14180541463530005, c2=0.013356782941838577, score=0.889944 -   1.1s
[CV] c1=0.05441439631599848, c2=0.1579761333881583 ...................
[CV]  c1=0.05441439631599848, c2=0.1579761333881583, score=0.667549 -   0.7s
[CV] c1=0.2470957904003579, c2=0.01482887198822182 ...................
[CV]  c1=0.2470957904003579, c2=0.01482887198822182, score=0.668577 -   0.9s
[CV] c1=0.038330447322724136, c2=0.10324818200285223 .................
[CV]  c1=0.038330447322724136, c2=0.10324818200285223, score=0.787195 -   1.2s
[CV] c1=0.06485141295871423, c2=0.09543550016899288 ..................
[CV]  c1=0.06485141295871423, c2=0.09543550016899288, score=0.811219 -   1.0s
[CV] c1=0.32756062610299447, c2=0.003155387570338788 .................
[CV]  c1=0.32756062610299447, c2=0.003155387570338788, score=0.835236 -   1.0s
[CV] c1=1.5209693937219353, c2=0.00127997511065957 ...................
[CV]  c1=1.5209693937219353, c2=0.00127997511065957, score=0.684561 -   1.0s
[CV] c1=0.1399037138978219, c2=0.03208034196861651 ...................
[CV]  c1=0.1399037138978219, c2=0.03208034196861651, score=0.846508 -   1.1s
[CV] c1=0.24429795198331336, c2=0.006700580651803594 .................
[CV]  c1=0.24429795198331336, c2=0.006700580651803594, score=0.683469 -   0.9s
[CV] c1=0.10649922048165489, c2=0.06679508331824632 ..................
[CV]  c1=0.10649922048165489, c2=0.06679508331824632, score=0.797842 -   1.1s
[CV] c1=0.7141966522774261, c2=0.1282453850325421 ....................
[CV]  c1=0.7141966522774261, c2=0.1282453850325421, score=0.726983 -   1.0s
[CV] c1=0.6139338022423636, c2=0.19984250550673963 ...................
[CV]  c1=0.6139338022423636, c2=0.19984250550673963, score=0.639929 -   1.2s
[CV] c1=0.9758472607249478, c2=0.006069642839169277 ..................
[CV]  c1=0.9758472607249478, c2=0.006069642839169277, score=0.835253 -   1.1s
[CV] c1=1.2410932341901608, c2=0.03480149231175205 ...................
[CV]  c1=1.2410932341901608, c2=0.03480149231175205, score=0.574770 -   0.8s
[CV] c1=2.1013414913214334, c2=0.023194433361359176 ..................
[CV]  c1=2.1013414913214334, c2=0.023194433361359176, score=0.550779 -   0.8s
[CV] c1=0.05015393677504569, c2=0.08692464824660819 ..................
[CV]  c1=0.05015393677504569, c2=0.08692464824660819, score=0.672631 -   0.9s
[CV] c1=0.8080977170165776, c2=0.04170115654950744 ...................
[CV]  c1=0.8080977170165776, c2=0.04170115654950744, score=0.685167 -   1.2s
[CV] c1=0.21565946930765814, c2=0.10438232343412013 ..................
[CV]  c1=0.21565946930765814, c2=0.10438232343412013, score=0.787500 -   1.2s
[CV] c1=2.269555110936901, c2=0.01994111748156398 ....................
[CV]  c1=2.269555110936901, c2=0.01994111748156398, score=0.539841 -   1.0s
[CV] c1=0.21713244616829586, c2=0.04920875904958219 ..................
[CV]  c1=0.21713244616829586, c2=0.04920875904958219, score=0.661368 -   0.9s
[CV] c1=0.6100969254490771, c2=0.07700074329622246 ...................
[CV]  c1=0.6100969254490771, c2=0.07700074329622246, score=0.829727 -   1.1s
[CV] c1=0.036697724901602335, c2=0.017372595114945193 ................
[CV]  c1=0.036697724901602335, c2=0.017372595114945193, score=0.830028 -   1.1s
[CV] c1=0.4637378355323681, c2=0.0299995696634474 ....................
[CV]  c1=0.4637378355323681, c2=0.0299995696634474, score=0.861286 -   1.1s
[CV] c1=0.9989531477711957, c2=0.0038812050013617575 .................
[CV]  c1=0.9989531477711957, c2=0.0038812050013617575, score=0.718789 -   1.1s
[CV] c1=0.04331496042136797, c2=0.01521119658992789 ..................
[CV]  c1=0.04331496042136797, c2=0.01521119658992789, score=0.776256 -   1.2s
[CV] c1=0.9057847668798739, c2=0.014788996854031644 ..................
[CV]  c1=0.9057847668798739, c2=0.014788996854031644, score=0.671403 -   1.1s
[CV] c1=0.11360811427959656, c2=0.05511342184733731 ..................
[CV]  c1=0.11360811427959656, c2=0.05511342184733731, score=0.815693 -   1.0s
[CV] c1=0.19428375218713267, c2=0.1072604219376388 ...................
[CV]  c1=0.19428375218713267, c2=0.1072604219376388, score=0.874995 -   1.1s
[CV] c1=0.016391745297519796, c2=0.03642629607397973 .................
[CV]  c1=0.016391745297519796, c2=0.03642629607397973, score=0.685083 -   0.9s
[CV] c1=0.1445915914734329, c2=0.03734301524670186 ...................
[CV]  c1=0.1445915914734329, c2=0.03734301524670186, score=0.886782 -   1.1s
[CV] c1=1.1692965346749342, c2=0.15426502346877313 ...................
[CV]  c1=1.1692965346749342, c2=0.15426502346877313, score=0.603372 -   1.1s
[CV] c1=0.1005651513627764, c2=0.08599894835046414 ...................
[CV]  c1=0.1005651513627764, c2=0.08599894835046414, score=0.664245 -   0.9s
[CV] c1=1.1800622672948204, c2=0.2251725962273687 ....................
[CV]  c1=1.1800622672948204, c2=0.2251725962273687, score=0.552313 -   1.1s
[CV] c1=0.08055062919581613, c2=0.030815941882287597 .................
[CV]  c1=0.08055062919581613, c2=0.030815941882287597, score=0.805677 -   1.1s
[CV] c1=0.000759865671322364, c2=0.03558403356854586 .................
[CV]  c1=0.000759865671322364, c2=0.03558403356854586, score=0.821697 -   1.2s
[CV] c1=0.6806083221000208, c2=0.0015445185292079452 .................
[CV]  c1=0.6806083221000208, c2=0.0015445185292079452, score=0.765786 -   1.0s
[CV] c1=0.26519551920565504, c2=0.07163741359181416 ..................
[CV]  c1=0.26519551920565504, c2=0.07163741359181416, score=0.659964 -   0.8s
[CV] c1=0.9758472607249478, c2=0.006069642839169277 ..................
[CV]  c1=0.9758472607249478, c2=0.006069642839169277, score=0.621244 -   0.8s
[CV] c1=1.5661094316136437, c2=0.12568881161063872 ...................
[CV]  c1=1.5661094316136437, c2=0.12568881161063872, score=0.585597 -   1.1s
[CV] c1=2.1013414913214334, c2=0.023194433361359176 ..................
[CV]  c1=2.1013414913214334, c2=0.023194433361359176, score=0.519817 -   0.8s
[CV] c1=0.0014821677089361922, c2=0.08337286118307417 ................
[CV]  c1=0.0014821677089361922, c2=0.08337286118307417, score=0.812990 -   1.0s
[CV] c1=1.8895926196372141, c2=0.039131124880354695 ..................
[CV]  c1=1.8895926196372141, c2=0.039131124880354695, score=0.501727 -   0.8s
[CV] c1=0.641645174629541, c2=0.0074935829130936445 ..................
[CV]  c1=0.641645174629541, c2=0.0074935829130936445, score=0.765786 -   1.2s
[CV] c1=0.32756062610299447, c2=0.003155387570338788 .................
[CV]  c1=0.32756062610299447, c2=0.003155387570338788, score=0.797757 -   1.1s
[CV] c1=1.5209693937219353, c2=0.00127997511065957 ...................
[CV]  c1=1.5209693937219353, c2=0.00127997511065957, score=0.542899 -   1.2s
[CV] c1=1.1800622672948204, c2=0.2251725962273687 ....................
[CV]  c1=1.1800622672948204, c2=0.2251725962273687, score=0.652869 -   1.0s
[CV] c1=0.06746606571624555, c2=0.026030645057851434 .................
[CV]  c1=0.06746606571624555, c2=0.026030645057851434, score=0.845520 -   1.0s
[CV] c1=1.3289983607356612, c2=0.06713974176830143 ...................
[CV]  c1=1.3289983607356612, c2=0.06713974176830143, score=0.598400 -   1.1s
[CV] c1=0.27334887881062087, c2=0.05365056929111528 ..................
[CV]  c1=0.27334887881062087, c2=0.05365056929111528, score=0.880532 -   1.1s
[CV] c1=0.01769232821918989, c2=0.09729621875041167 ..................
[CV]  c1=0.01769232821918989, c2=0.09729621875041167, score=0.812990 -   1.1s
[CV] c1=0.5537815806317729, c2=0.03620675215830064 ...................
[CV]  c1=0.5537815806317729, c2=0.03620675215830064, score=0.655212 -   0.9s
[CV] c1=1.2410932341901608, c2=0.03480149231175205 ...................
[CV]  c1=1.2410932341901608, c2=0.03480149231175205, score=0.786265 -   1.0s
[CV] c1=0.05441439631599848, c2=0.1579761333881583 ...................
[CV]  c1=0.05441439631599848, c2=0.1579761333881583, score=0.780599 -   0.8s
[CV] c1=1.023463193233515, c2=0.054432097216703106 ...................
[CV]  c1=1.023463193233515, c2=0.054432097216703106, score=0.572435 -   0.8s
[CV] c1=0.15182326137586297, c2=0.09421077967266668 ..................
[CV]  c1=0.15182326137586297, c2=0.09421077967266668, score=0.664245 -   0.9s
[CV] c1=0.384577013201829, c2=0.10323881543368357 ....................
[CV]  c1=0.384577013201829, c2=0.10323881543368357, score=0.846278 -   1.0s
[CV] c1=0.48492753470940597, c2=0.022722245734558694 .................
[CV]  c1=0.48492753470940597, c2=0.022722245734558694, score=0.859814 -   1.1s
[CV] c1=0.3351589255131935, c2=0.018064742639211623 ..................
[CV]  c1=0.3351589255131935, c2=0.018064742639211623, score=0.764812 -   1.2s
[CV] c1=0.3920429244243515, c2=0.0003105295710314177 .................
[CV]  c1=0.3920429244243515, c2=0.0003105295710314177, score=0.798273 -   1.1s
[CV] c1=1.3408166744809271, c2=0.03032182401773777 ...................
[CV]  c1=1.3408166744809271, c2=0.03032182401773777, score=0.564981 -   0.9s
[CV] c1=0.6735197158295594, c2=0.002828009715365975 ..................
[CV]  c1=0.6735197158295594, c2=0.002828009715365975, score=0.837762 -   1.2s
[CV] c1=0.32230009127546083, c2=0.026053218342524376 .................
[CV]  c1=0.32230009127546083, c2=0.026053218342524376, score=0.837696 -   1.1s
[CV] c1=0.004792697338661991, c2=0.06096858340950152 .................
[CV]  c1=0.004792697338661991, c2=0.06096858340950152, score=0.843560 -   1.1s
[CV] c1=0.021817354113773405, c2=0.08190760154718163 .................
[CV]  c1=0.021817354113773405, c2=0.08190760154718163, score=0.813821 -   1.1s
[CV] c1=0.04887039254834628, c2=0.024633069162840155 .................
[CV]  c1=0.04887039254834628, c2=0.024633069162840155, score=0.766899 -   1.1s
[CV] c1=2.1013414913214334, c2=0.023194433361359176 ..................
[CV]  c1=2.1013414913214334, c2=0.023194433361359176, score=0.580483 -   0.9s
[CV] c1=1.682657720679361, c2=0.0023282702843674466 ..................
[CV]  c1=1.682657720679361, c2=0.0023282702843674466, score=0.518967 -   0.7s
[CV] c1=0.15182326137586297, c2=0.09421077967266668 ..................
[CV]  c1=0.15182326137586297, c2=0.09421077967266668, score=0.871808 -   1.2s
[CV] c1=0.384577013201829, c2=0.10323881543368357 ....................
[CV]  c1=0.384577013201829, c2=0.10323881543368357, score=0.652118 -   0.8s
[CV] c1=0.10430438263055204, c2=0.01937206239539747 ..................
[CV]  c1=0.10430438263055204, c2=0.01937206239539747, score=0.660439 -   1.0s
[CV] c1=0.46404112015208304, c2=0.011231189422522618 .................
[CV]  c1=0.46404112015208304, c2=0.011231189422522618, score=0.780550 -   1.1s
[CV] c1=0.21713244616829586, c2=0.04920875904958219 ..................
[CV]  c1=0.21713244616829586, c2=0.04920875904958219, score=0.814904 -   1.1s
[CV] c1=0.047154283669869304, c2=0.03807135139843089 .................
[CV]  c1=0.047154283669869304, c2=0.03807135139843089, score=0.899689 -   1.1s
[CV] c1=0.6735197158295594, c2=0.002828009715365975 ..................
[CV]  c1=0.6735197158295594, c2=0.002828009715365975, score=0.788297 -   1.2s
[CV] c1=0.7141966522774261, c2=0.1282453850325421 ....................
[CV]  c1=0.7141966522774261, c2=0.1282453850325421, score=0.812183 -   1.1s
[CV] c1=0.6139338022423636, c2=0.19984250550673963 ...................
[CV]  c1=0.6139338022423636, c2=0.19984250550673963, score=0.597535 -   0.9s
[CV] c1=0.021817354113773405, c2=0.08190760154718163 .................
[CV]  c1=0.021817354113773405, c2=0.08190760154718163, score=0.842473 -   1.0s
[CV] c1=0.04887039254834628, c2=0.024633069162840155 .................
[CV]  c1=0.04887039254834628, c2=0.024633069162840155, score=0.824968 -   1.1s
[CV] c1=0.11360811427959656, c2=0.05511342184733731 ..................
[CV]  c1=0.11360811427959656, c2=0.05511342184733731, score=0.772672 -   1.0s
[CV] c1=1.682657720679361, c2=0.0023282702843674466 ..................
[CV]  c1=1.682657720679361, c2=0.0023282702843674466, score=0.750666 -   0.9s
[CV] c1=0.15182326137586297, c2=0.09421077967266668 ..................
[CV]  c1=0.15182326137586297, c2=0.09421077967266668, score=0.752752 -   1.1s
[CV] c1=0.641645174629541, c2=0.0074935829130936445 ..................
[CV]  c1=0.641645174629541, c2=0.0074935829130936445, score=0.843123 -   1.1s
[CV] c1=0.028261015884029777, c2=0.010750930647103023 ................
[CV]  c1=0.028261015884029777, c2=0.010750930647103023, score=0.820986 -   1.2s
[CV] c1=1.5209693937219353, c2=0.00127997511065957 ...................
[CV]  c1=1.5209693937219353, c2=0.00127997511065957, score=0.545216 -   0.9s
[CV] c1=0.06405272696973713, c2=0.007858525694003344 .................
[CV]  c1=0.06405272696973713, c2=0.007858525694003344, score=0.874223 -   1.1s
[CV] c1=1.3408166744809271, c2=0.03032182401773777 ...................
[CV]  c1=1.3408166744809271, c2=0.03032182401773777, score=0.679197 -   1.1s
[CV] c1=0.10649922048165489, c2=0.06679508331824632 ..................
[CV]  c1=0.10649922048165489, c2=0.06679508331824632, score=0.811679 -   1.2s
[CV] c1=0.3846373632706468, c2=0.06000126756561165 ...................
[CV]  c1=0.3846373632706468, c2=0.06000126756561165, score=0.856338 -   1.2s
[CV] c1=0.01769232821918989, c2=0.09729621875041167 ..................
[CV]  c1=0.01769232821918989, c2=0.09729621875041167, score=0.676534 -   0.9s
[CV] c1=0.5489664169150476, c2=0.0402913799366951 ....................
[CV]  c1=0.5489664169150476, c2=0.0402913799366951, score=0.841464 -   1.1s
[CV] c1=0.14180541463530005, c2=0.013356782941838577 .................
[CV]  c1=0.14180541463530005, c2=0.013356782941838577, score=0.805677 -   1.2s
[CV] c1=0.4996774976506405, c2=0.23757306827085167 ...................
[CV]  c1=0.4996774976506405, c2=0.23757306827085167, score=0.629398 -   0.7s
[CV] c1=0.7514335282742236, c2=0.0008512627183757363 .................
[CV]  c1=0.7514335282742236, c2=0.0008512627183757363, score=0.675811 -   1.1s
[CV] c1=1.1338522336044112, c2=0.09540108761305022 ...................
[CV]  c1=1.1338522336044112, c2=0.09540108761305022, score=0.607006 -   1.1s
[CV] c1=0.5559200250577303, c2=0.09221277763152685 ...................
[CV]  c1=0.5559200250577303, c2=0.09221277763152685, score=0.732467 -   1.1s
[CV] c1=0.4584831813836262, c2=0.01783639295537388 ...................
[CV]  c1=0.4584831813836262, c2=0.01783639295537388, score=0.698047 -   0.9s
[CV] c1=0.553519399869687, c2=0.1711922438497456 .....................
[CV]  c1=0.553519399869687, c2=0.1711922438497456, score=0.611956 -   0.8s
[CV] c1=0.1399037138978219, c2=0.03208034196861651 ...................
[CV]  c1=0.1399037138978219, c2=0.03208034196861651, score=0.772915 -   1.1s
[CV] c1=0.06746606571624555, c2=0.026030645057851434 .................
[CV]  c1=0.06746606571624555, c2=0.026030645057851434, score=0.664006 -   0.9s
[CV] c1=0.4252785267877091, c2=0.022789053616376807 ..................
[CV]  c1=0.4252785267877091, c2=0.022789053616376807, score=0.864732 -   1.1s
[CV] c1=0.3846373632706468, c2=0.06000126756561165 ...................
[CV]  c1=0.3846373632706468, c2=0.06000126756561165, score=0.659964 -   0.9s
[CV] c1=0.6139338022423636, c2=0.19984250550673963 ...................
[CV]  c1=0.6139338022423636, c2=0.19984250550673963, score=0.811097 -   1.1s
[CV] c1=0.0376580578128403, c2=0.007307182157801905 ..................
[CV]  c1=0.0376580578128403, c2=0.007307182157801905, score=0.830028 -   1.1s
[CV] c1=1.5661094316136437, c2=0.12568881161063872 ...................
[CV]  c1=1.5661094316136437, c2=0.12568881161063872, score=0.531743 -   1.1s
[CV] c1=0.05441439631599848, c2=0.1579761333881583 ...................
[CV]  c1=0.05441439631599848, c2=0.1579761333881583, score=0.799483 -   0.7s
[CV] c1=1.586571212896539, c2=0.014509503887024364 ...................
[CV]  c1=1.586571212896539, c2=0.014509503887024364, score=0.545216 -   0.8s
[CV] c1=0.07069701382439365, c2=0.07961979792037131 ..................
[CV]  c1=0.07069701382439365, c2=0.07961979792037131, score=0.899464 -   1.0s
[CV] c1=0.06485141295871423, c2=0.09543550016899288 ..................
[CV]  c1=0.06485141295871423, c2=0.09543550016899288, score=0.668299 -   0.8s
[CV] c1=0.028261015884029777, c2=0.010750930647103023 ................
[CV]  c1=0.028261015884029777, c2=0.010750930647103023, score=0.900248 -   1.1s
[CV] c1=0.15301242275565224, c2=0.035704503459572115 .................
[CV]  c1=0.15301242275565224, c2=0.035704503459572115, score=0.668577 -   0.8s
[CV] c1=0.3920429244243515, c2=0.0003105295710314177 .................
[CV]  c1=0.3920429244243515, c2=0.0003105295710314177, score=0.705541 -   0.9s
[CV] c1=0.6100969254490771, c2=0.07700074329622246 ...................
[CV]  c1=0.6100969254490771, c2=0.07700074329622246, score=0.772227 -   1.1s
[CV] c1=0.9241495908433734, c2=0.01443620569300335 ...................
[CV]  c1=0.9241495908433734, c2=0.01443620569300335, score=0.685167 -   1.0s
[CV] c1=0.4637378355323681, c2=0.0299995696634474 ....................
[CV]  c1=0.4637378355323681, c2=0.0299995696634474, score=0.682186 -   0.9s
[CV] c1=0.6806083221000208, c2=0.0015445185292079452 .................
[CV]  c1=0.6806083221000208, c2=0.0015445185292079452, score=0.717574 -   1.1s
[CV] c1=0.4063833513739474, c2=0.11885252760711854 ...................
[CV]  c1=0.4063833513739474, c2=0.11885252760711854, score=0.652118 -   0.9s
[CV] c1=0.5537815806317729, c2=0.03620675215830064 ...................
[CV]  c1=0.5537815806317729, c2=0.03620675215830064, score=0.846744 -   1.0s
[CV] c1=1.5507179021106103, c2=0.07496132741971476 ...................
[CV]  c1=1.5507179021106103, c2=0.07496132741971476, score=0.515126 -   0.8s
[CV] c1=0.05441439631599848, c2=0.1579761333881583 ...................
[CV]  c1=0.05441439631599848, c2=0.1579761333881583, score=0.767908 -   0.8s
[CV] c1=0.05015393677504569, c2=0.08692464824660819 ..................
[CV]  c1=0.05015393677504569, c2=0.08692464824660819, score=0.807206 -   1.1s
[CV] c1=0.29597444287242825, c2=0.0011772897837615968 ................
[CV]  c1=0.29597444287242825, c2=0.0011772897837615968, score=0.835236 -   1.0s
[CV] c1=0.10430438263055204, c2=0.01937206239539747 ..................
[CV]  c1=0.10430438263055204, c2=0.01937206239539747, score=0.850049 -   1.0s
[CV] c1=2.269555110936901, c2=0.01994111748156398 ....................
[CV]  c1=2.269555110936901, c2=0.01994111748156398, score=0.477346 -   0.9s
[CV] c1=0.1005651513627764, c2=0.08599894835046414 ...................
[CV]  c1=0.1005651513627764, c2=0.08599894835046414, score=0.777273 -   1.1s
[CV] c1=0.260196952923773, c2=0.008148420543050556 ...................
[CV]  c1=0.260196952923773, c2=0.008148420543050556, score=0.843946 -   1.1s
[CV] c1=1.0011373930747762, c2=0.04166131681999403 ...................
[CV]  c1=1.0011373930747762, c2=0.04166131681999403, score=0.662977 -   1.0s
[CV] c1=0.6009171532276203, c2=0.022560602852854023 ..................
[CV]  c1=0.6009171532276203, c2=0.022560602852854023, score=0.838640 -   1.1s
[CV] c1=0.6806083221000208, c2=0.0015445185292079452 .................
[CV]  c1=0.6806083221000208, c2=0.0015445185292079452, score=0.681109 -   0.9s
[CV] c1=0.01769232821918989, c2=0.09729621875041167 ..................
[CV]  c1=0.01769232821918989, c2=0.09729621875041167, score=0.897868 -   1.1s
[CV] c1=0.9758472607249478, c2=0.006069642839169277 ..................
[CV]  c1=0.9758472607249478, c2=0.006069642839169277, score=0.758853 -   1.0s
[CV] c1=1.2410932341901608, c2=0.03480149231175205 ...................
[CV]  c1=1.2410932341901608, c2=0.03480149231175205, score=0.633699 -   1.1s
[CV] c1=0.4996774976506405, c2=0.23757306827085167 ...................
[CV]  c1=0.4996774976506405, c2=0.23757306827085167, score=0.688413 -   0.7s
[CV] c1=0.19428375218713267, c2=0.1072604219376388 ...................
[CV]  c1=0.19428375218713267, c2=0.1072604219376388, score=0.803909 -   1.1s
[CV] c1=0.016391745297519796, c2=0.03642629607397973 .................
[CV]  c1=0.016391745297519796, c2=0.03642629607397973, score=0.847760 -   1.0s
[CV] c1=0.21565946930765814, c2=0.10438232343412013 ..................
[CV]  c1=0.21565946930765814, c2=0.10438232343412013, score=0.659964 -   0.9s
[CV] c1=0.966253646302503, c2=0.02988131152877705 ....................
[CV]  c1=0.966253646302503, c2=0.02988131152877705, score=0.631699 -   1.1s
[CV] c1=0.553519399869687, c2=0.1711922438497456 .....................
[CV]  c1=0.553519399869687, c2=0.1711922438497456, score=0.700197 -   1.1s
[CV] c1=0.5739849840970529, c2=0.10341357770773976 ...................
[CV]  c1=0.5739849840970529, c2=0.10341357770773976, score=0.732467 -   1.0s
[CV] c1=0.08055062919581613, c2=0.030815941882287597 .................
[CV]  c1=0.08055062919581613, c2=0.030815941882287597, score=0.675229 -   0.9s
[CV] c1=0.4252785267877091, c2=0.022789053616376807 ..................
[CV]  c1=0.4252785267877091, c2=0.022789053616376807, score=0.830027 -   1.0s
[CV] c1=0.3846373632706468, c2=0.06000126756561165 ...................
[CV]  c1=0.3846373632706468, c2=0.06000126756561165, score=0.804265 -   1.0s
[CV] c1=0.8385351533335189, c2=0.08411228141310506 ...................
[CV]  c1=0.8385351533335189, c2=0.08411228141310506, score=0.611956 -   0.9s
[CV] c1=0.021817354113773405, c2=0.08190760154718163 .................
[CV]  c1=0.021817354113773405, c2=0.08190760154718163, score=0.805516 -   1.1s
[CV] c1=1.5661094316136437, c2=0.12568881161063872 ...................
[CV]  c1=1.5661094316136437, c2=0.12568881161063872, score=0.600014 -   1.1s
[CV] c1=0.05441439631599848, c2=0.1579761333881583 ...................
[CV]  c1=0.05441439631599848, c2=0.1579761333881583, score=0.871751 -   0.9s
[CV] c1=1.586571212896539, c2=0.014509503887024364 ...................
[CV]  c1=1.586571212896539, c2=0.014509503887024364, score=0.768362 -   1.1s
[CV] c1=0.8080977170165776, c2=0.04170115654950744 ...................
[CV]  c1=0.8080977170165776, c2=0.04170115654950744, score=0.611956 -   0.9s
[CV] c1=0.19084936585711326, c2=0.016158001686309997 .................
[CV]  c1=0.19084936585711326, c2=0.016158001686309997, score=0.805432 -   1.1s
[CV] c1=1.1692965346749342, c2=0.15426502346877313 ...................
[CV]  c1=1.1692965346749342, c2=0.15426502346877313, score=0.771682 -   1.0s
[CV] c1=1.38546322850174, c2=0.029014409221299664 ....................
[CV]  c1=1.38546322850174, c2=0.029014409221299664, score=0.545429 -   1.1s
[CV] c1=0.5739849840970529, c2=0.10341357770773976 ...................
[CV]  c1=0.5739849840970529, c2=0.10341357770773976, score=0.639429 -   0.9s
[CV] c1=0.24429795198331336, c2=0.006700580651803594 .................
[CV]  c1=0.24429795198331336, c2=0.006700580651803594, score=0.795483 -   1.1s
[CV] c1=0.4252785267877091, c2=0.022789053616376807 ..................
[CV]  c1=0.4252785267877091, c2=0.022789053616376807, score=0.778595 -   1.2s
[CV] c1=0.058966892906616206, c2=0.010722716072599415 ................
[CV]  c1=0.058966892906616206, c2=0.010722716072599415, score=0.684438 -   0.9s
[CV] c1=0.8385351533335189, c2=0.08411228141310506 ...................
[CV]  c1=0.8385351533335189, c2=0.08411228141310506, score=0.662431 -   1.1s
[CV] c1=0.5489664169150476, c2=0.0402913799366951 ....................
[CV]  c1=0.5489664169150476, c2=0.0402913799366951, score=0.778282 -   1.1s
[CV] c1=1.2410932341901608, c2=0.03480149231175205 ...................
[CV]  c1=1.2410932341901608, c2=0.03480149231175205, score=0.698646 -   1.0s
[CV] c1=0.4996774976506405, c2=0.23757306827085167 ...................
[CV]  c1=0.4996774976506405, c2=0.23757306827085167, score=0.829644 -   0.8s
[CV] c1=0.7514335282742236, c2=0.0008512627183757363 .................
[CV]  c1=0.7514335282742236, c2=0.0008512627183757363, score=0.678025 -   0.9s
[CV] c1=0.038330447322724136, c2=0.10324818200285223 .................
[CV]  c1=0.038330447322724136, c2=0.10324818200285223, score=0.813821 -   1.0s
[CV] c1=0.641645174629541, c2=0.0074935829130936445 ..................
[CV]  c1=0.641645174629541, c2=0.0074935829130936445, score=0.728655 -   1.1s
[CV] c1=0.028261015884029777, c2=0.010750930647103023 ................
[CV]  c1=0.028261015884029777, c2=0.010750930647103023, score=0.852388 -   1.0s
[CV] c1=0.15301242275565224, c2=0.035704503459572115 .................
[CV]  c1=0.15301242275565224, c2=0.035704503459572115, score=0.817466 -   1.1s
[CV] c1=0.1399037138978219, c2=0.03208034196861651 ...................
[CV]  c1=0.1399037138978219, c2=0.03208034196861651, score=0.880557 -   1.1s
[CV] c1=0.24429795198331336, c2=0.006700580651803594 .................
[CV]  c1=0.24429795198331336, c2=0.006700580651803594, score=0.841811 -   1.1s
[CV] c1=1.3289983607356612, c2=0.06713974176830143 ...................
[CV]  c1=1.3289983607356612, c2=0.06713974176830143, score=0.526988 -   0.9s
[CV] c1=0.7141966522774261, c2=0.1282453850325421 ....................
[CV]  c1=0.7141966522774261, c2=0.1282453850325421, score=0.635042 -   1.2s
[CV] c1=0.8385351533335189, c2=0.08411228141310506 ...................
[CV]  c1=0.8385351533335189, c2=0.08411228141310506, score=0.745036 -   1.0s
[CV] c1=0.5489664169150476, c2=0.0402913799366951 ....................
[CV]  c1=0.5489664169150476, c2=0.0402913799366951, score=0.719433 -   1.0s
[CV] c1=0.14180541463530005, c2=0.013356782941838577 .................
[CV]  c1=0.14180541463530005, c2=0.013356782941838577, score=0.811087 -   1.1s
[CV] c1=0.4996774976506405, c2=0.23757306827085167 ...................
[CV]  c1=0.4996774976506405, c2=0.23757306827085167, score=0.638293 -   0.8s
Training done in: 15.082253s
     Saving training model...
        Saving training model done in: 0.013431s
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Prediction done in: 0.023371s