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

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Run5_v12.txt 72.4 KB
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-------------------------------- 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: Run5
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: TrueS4: 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: 0.003733s
-------------------------------- 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
6   -2:lemma  culture
7  -2:postag      VBN
8   +2:lemma  minimal
9  +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
           0           1
0      lemma  delta-arca
1     postag          NN
2   -1:lemma           _
3  -1:postag          NN
4   +1:lemma           _
5  +1:postag          CD
6   -2:lemma     affyexp
7  -2:postag          JJ
8   +2:lemma     glucose
9  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=1.0543144197947105, c2=0.10239829113303651 ...................
[CV]  c1=1.0543144197947105, c2=0.10239829113303651, score=0.636308 -   1.3s
[CV] c1=1.0327592829824714, c2=0.00853168977662099 ...................
[CV]  c1=1.0327592829824714, c2=0.00853168977662099, score=0.857586 -   1.2s
[CV] c1=1.0632514897075251, c2=0.021995905534860544 ..................
[CV]  c1=1.0632514897075251, c2=0.021995905534860544, score=0.640530 -   1.2s
[CV] c1=0.3123324371098123, c2=0.030267778479554277 ..................
[CV]  c1=0.3123324371098123, c2=0.030267778479554277, score=0.803391 -   1.3s
[CV] c1=0.5215624333821032, c2=0.04611165426714978 ...................
[CV]  c1=0.5215624333821032, c2=0.04611165426714978, score=0.723065 -   1.3s
[CV] c1=0.10347960495005633, c2=0.039155572848516396 .................
[CV]  c1=0.10347960495005633, c2=0.039155572848516396, score=0.855151 -   1.2s
[CV] c1=0.12248527521132078, c2=0.0011191322589546185 ................
[CV]  c1=0.12248527521132078, c2=0.0011191322589546185, score=0.868725 -   1.2s
[CV] c1=0.5966133865643183, c2=0.07231338895892986 ...................
[CV]  c1=0.5966133865643183, c2=0.07231338895892986, score=0.693383 -   1.2s
[CV] c1=0.3554737006125487, c2=0.13657527991906568 ...................
[CV]  c1=0.3554737006125487, c2=0.13657527991906568, score=0.835795 -   1.2s
[CV] c1=0.8840377024142682, c2=0.01129570556368462 ...................
[CV]  c1=0.8840377024142682, c2=0.01129570556368462, score=0.688713 -   1.0s
[CV] c1=0.922136680239156, c2=0.002012877106511246 ...................
[CV]  c1=0.922136680239156, c2=0.002012877106511246, score=0.653513 -   1.0s
[CV] c1=1.2728939615687187, c2=0.049566562205776404 ..................
[CV]  c1=1.2728939615687187, c2=0.049566562205776404, score=0.576130 -   1.3s
[CV] c1=1.0543144197947105, c2=0.10239829113303651 ...................
[CV]  c1=1.0543144197947105, c2=0.10239829113303651, score=0.631306 -   1.3s
[CV] c1=1.0327592829824714, c2=0.00853168977662099 ...................
[CV]  c1=1.0327592829824714, c2=0.00853168977662099, score=0.641481 -   1.0s
[CV] c1=0.34702772995043246, c2=0.036919838334062184 .................
[CV]  c1=0.34702772995043246, c2=0.036919838334062184, score=0.803391 -   1.3s
[CV] c1=0.8549657069053862, c2=0.09670228115708934 ...................
[CV]  c1=0.8549657069053862, c2=0.09670228115708934, score=0.666644 -   1.2s
[CV] c1=0.15097876323276538, c2=0.047877882595375953 .................
[CV]  c1=0.15097876323276538, c2=0.047877882595375953, score=0.879215 -   1.2s
[CV] c1=1.4882288246113147, c2=0.06871473213207809 ...................
[CV]  c1=1.4882288246113147, c2=0.06871473213207809, score=0.573658 -   1.0s
[CV] c1=0.8879324452002045, c2=0.0072216291713244375 .................
[CV]  c1=0.8879324452002045, c2=0.0072216291713244375, score=0.670876 -   1.3s
[CV] c1=0.3236889274987152, c2=0.34745221021383954 ...................
[CV]  c1=0.3236889274987152, c2=0.34745221021383954, score=0.833805 -   1.3s
[CV] c1=0.14874335196057092, c2=0.05373922644303139 ..................
[CV]  c1=0.14874335196057092, c2=0.05373922644303139, score=0.790037 -   1.3s
[CV] c1=1.4716690127043035, c2=0.011619989954349583 ..................
[CV]  c1=1.4716690127043035, c2=0.011619989954349583, score=0.840709 -   1.2s
[CV] c1=0.05867915019377369, c2=0.08533335732344298 ..................
[CV]  c1=0.05867915019377369, c2=0.08533335732344298, score=0.700855 -   1.0s
[CV] c1=0.29126432456289325, c2=0.06135825623214974 ..................
[CV]  c1=0.29126432456289325, c2=0.06135825623214974, score=0.842635 -   1.2s
[CV] c1=1.0543144197947105, c2=0.10239829113303651 ...................
[CV]  c1=1.0543144197947105, c2=0.10239829113303651, score=0.737771 -   1.2s
[CV] c1=0.8758584709368444, c2=0.077032465415149 .....................
[CV]  c1=0.8758584709368444, c2=0.077032465415149, score=0.761170 -   1.2s
[CV] c1=0.4575227056593519, c2=0.003458752372454399 ..................
[CV]  c1=0.4575227056593519, c2=0.003458752372454399, score=0.755456 -   1.2s
[CV] c1=0.8549657069053862, c2=0.09670228115708934 ...................
[CV]  c1=0.8549657069053862, c2=0.09670228115708934, score=0.638003 -   1.3s
[CV] c1=0.15097876323276538, c2=0.047877882595375953 .................
[CV]  c1=0.15097876323276538, c2=0.047877882595375953, score=0.793437 -   1.3s
[CV] c1=1.4882288246113147, c2=0.06871473213207809 ...................
[CV]  c1=1.4882288246113147, c2=0.06871473213207809, score=0.546901 -   1.2s
[CV] c1=0.12248527521132078, c2=0.0011191322589546185 ................
[CV]  c1=0.12248527521132078, c2=0.0011191322589546185, score=0.897692 -   1.2s
[CV] c1=0.5240221357943933, c2=0.012735510453285429 ..................
[CV]  c1=0.5240221357943933, c2=0.012735510453285429, score=0.798014 -   1.3s
[CV] c1=0.3554737006125487, c2=0.13657527991906568 ...................
[CV]  c1=0.3554737006125487, c2=0.13657527991906568, score=0.735941 -   1.3s
[CV] c1=0.18593792668039855, c2=0.0113435921541083 ...................
[CV]  c1=0.18593792668039855, c2=0.0113435921541083, score=0.732727 -   0.9s
[CV] c1=0.05867915019377369, c2=0.08533335732344298 ..................
[CV]  c1=0.05867915019377369, c2=0.08533335732344298, score=0.874397 -   1.2s
[CV] c1=0.49882647578199146, c2=0.05641809563950412 ..................
[CV]  c1=0.49882647578199146, c2=0.05641809563950412, score=0.690917 -   1.0s
[CV] c1=0.13610355449188674, c2=0.08515642452357902 ..................
[CV]  c1=0.13610355449188674, c2=0.08515642452357902, score=0.876654 -   1.1s
[CV] c1=0.13124995289391914, c2=0.01436255645946885 ..................
[CV]  c1=0.13124995289391914, c2=0.01436255645946885, score=0.803391 -   1.3s
[CV] c1=0.5801988724226915, c2=0.018159246620154623 ..................
[CV]  c1=0.5801988724226915, c2=0.018159246620154623, score=0.713036 -   1.3s
[CV] c1=0.26832150963765394, c2=0.16742904275501547 ..................
[CV]  c1=0.26832150963765394, c2=0.16742904275501547, score=0.788934 -   1.3s
[CV] c1=0.38317137888250047, c2=0.23821406635414477 ..................
[CV]  c1=0.38317137888250047, c2=0.23821406635414477, score=0.693217 -   1.3s
[CV] c1=0.6377875163770037, c2=0.0009787531681947949 .................
[CV]  c1=0.6377875163770037, c2=0.0009787531681947949, score=0.835847 -   1.2s
[CV] c1=0.8879324452002045, c2=0.0072216291713244375 .................
[CV]  c1=0.8879324452002045, c2=0.0072216291713244375, score=0.806048 -   1.2s
[CV] c1=1.5224116472791613, c2=0.007277525104163821 ..................
[CV]  c1=1.5224116472791613, c2=0.007277525104163821, score=0.733134 -   1.2s
[CV] c1=0.26543500831285194, c2=0.01620082630760978 ..................
[CV]  c1=0.26543500831285194, c2=0.01620082630760978, score=0.870427 -   1.2s
[CV] c1=0.15133593730168737, c2=0.030257770623261883 .................
[CV]  c1=0.15133593730168737, c2=0.030257770623261883, score=0.799467 -   1.3s
[CV] c1=0.922136680239156, c2=0.002012877106511246 ...................
[CV]  c1=0.922136680239156, c2=0.002012877106511246, score=0.863232 -   1.2s
[CV] c1=0.034224859090997456, c2=0.05703966764982746 .................
[CV]  c1=0.034224859090997456, c2=0.05703966764982746, score=0.879215 -   1.2s
[CV] c1=0.24819655641509653, c2=0.12989273833258114 ..................
[CV]  c1=0.24819655641509653, c2=0.12989273833258114, score=0.785388 -   1.1s
[CV] c1=0.10316071552476618, c2=0.03277356160413752 ..................
[CV]  c1=0.10316071552476618, c2=0.03277356160413752, score=0.860542 -   1.2s
[CV] c1=0.23610502350349594, c2=0.012937351889081112 .................
[CV]  c1=0.23610502350349594, c2=0.012937351889081112, score=0.862518 -   1.3s
[CV] c1=0.5498563956811809, c2=0.03717291428012482 ...................
[CV]  c1=0.5498563956811809, c2=0.03717291428012482, score=0.820222 -   1.2s
[CV] c1=0.4856208587666309, c2=0.05843613260400739 ...................
[CV]  c1=0.4856208587666309, c2=0.05843613260400739, score=0.836670 -   1.2s
[CV] c1=0.6599996924863498, c2=0.0018658990829951403 .................
[CV]  c1=0.6599996924863498, c2=0.0018658990829951403, score=0.820222 -   1.2s
[CV] c1=0.3436102657712511, c2=0.01959957461316604 ...................
[CV]  c1=0.3436102657712511, c2=0.01959957461316604, score=0.787691 -   1.4s
[CV] c1=1.3767787996126326, c2=0.013614591624128076 ..................
[CV]  c1=1.3767787996126326, c2=0.013614591624128076, score=0.632351 -   1.3s
[CV] c1=0.12238535059373482, c2=0.081905744055225 ....................
[CV]  c1=0.12238535059373482, c2=0.081905744055225, score=0.876654 -   1.3s
[CV] c1=0.32124088853517885, c2=0.018973025941432797 .................
[CV]  c1=0.32124088853517885, c2=0.018973025941432797, score=0.853423 -   1.2s
[CV] c1=0.0007640764352162197, c2=0.07575823796669318 ................
[CV]  c1=0.0007640764352162197, c2=0.07575823796669318, score=0.849610 -   1.3s
[CV] c1=0.29126432456289325, c2=0.06135825623214974 ..................
[CV]  c1=0.29126432456289325, c2=0.06135825623214974, score=0.892505 -   1.4s
[CV] c1=0.07703330734473147, c2=0.011531695937040133 .................
[CV]  c1=0.07703330734473147, c2=0.011531695937040133, score=0.803391 -   1.3s
[CV] c1=0.6030222172246862, c2=0.10850622766364314 ...................
[CV]  c1=0.6030222172246862, c2=0.10850622766364314, score=0.627771 -   1.0s
[CV] c1=0.4575227056593519, c2=0.003458752372454399 ..................
[CV]  c1=0.4575227056593519, c2=0.003458752372454399, score=0.866709 -   1.2s
[CV] c1=0.3123324371098123, c2=0.030267778479554277 ..................
[CV]  c1=0.3123324371098123, c2=0.030267778479554277, score=0.911695 -   1.2s
[CV] c1=0.15097876323276538, c2=0.047877882595375953 .................
[CV]  c1=0.15097876323276538, c2=0.047877882595375953, score=0.694422 -   1.0s
[CV] c1=0.6377875163770037, c2=0.0009787531681947949 .................
[CV]  c1=0.6377875163770037, c2=0.0009787531681947949, score=0.698816 -   1.3s
[CV] c1=0.1478245336690899, c2=0.06291137606509484 ...................
[CV]  c1=0.1478245336690899, c2=0.06291137606509484, score=0.876654 -   1.2s
[CV] c1=0.3236889274987152, c2=0.34745221021383954 ...................
[CV]  c1=0.3236889274987152, c2=0.34745221021383954, score=0.691059 -   1.4s
[CV] c1=0.10164332496705585, c2=0.09811400697150874 ..................
[CV]  c1=0.10164332496705585, c2=0.09811400697150874, score=0.849610 -   1.2s
[CV] c1=1.4716690127043035, c2=0.011619989954349583 ..................
[CV]  c1=1.4716690127043035, c2=0.011619989954349583, score=0.733134 -   1.2s
[CV] c1=0.05867915019377369, c2=0.08533335732344298 ..................
[CV]  c1=0.05867915019377369, c2=0.08533335732344298, score=0.849610 -   1.3s
[CV] c1=0.11772145364728798, c2=0.017640750085795822 .................
[CV]  c1=0.11772145364728798, c2=0.017640750085795822, score=0.723856 -   1.0s
[CV] c1=0.3851243500278578, c2=0.0041593430306641485 .................
[CV]  c1=0.3851243500278578, c2=0.0041593430306641485, score=0.797385 -   1.2s
[CV] c1=0.03798832102780942, c2=0.03865575887758005 ..................
[CV]  c1=0.03798832102780942, c2=0.03865575887758005, score=0.797054 -   1.3s
[CV] c1=0.34702772995043246, c2=0.036919838334062184 .................
[CV]  c1=0.34702772995043246, c2=0.036919838334062184, score=0.910398 -   1.3s
[CV] c1=0.22744507719715443, c2=0.02451348101715309 ..................
[CV]  c1=0.22744507719715443, c2=0.02451348101715309, score=0.901503 -   1.3s
[CV] c1=0.38317137888250047, c2=0.23821406635414477 ..................
[CV]  c1=0.38317137888250047, c2=0.23821406635414477, score=0.768232 -   1.3s
[CV] c1=0.6377875163770037, c2=0.0009787531681947949 .................
[CV]  c1=0.6377875163770037, c2=0.0009787531681947949, score=0.775130 -   1.3s
[CV] c1=0.1478245336690899, c2=0.06291137606509484 ...................
[CV]  c1=0.1478245336690899, c2=0.06291137606509484, score=0.698183 -   1.0s
[CV] c1=0.14872725406792042, c2=0.01593432223938637 ..................
[CV]  c1=0.14872725406792042, c2=0.01593432223938637, score=0.803391 -   1.3s
[CV] c1=0.26543500831285194, c2=0.01620082630760978 ..................
[CV]  c1=0.26543500831285194, c2=0.01620082630760978, score=0.797120 -   1.3s
[CV] c1=0.15133593730168737, c2=0.030257770623261883 .................
[CV]  c1=0.15133593730168737, c2=0.030257770623261883, score=0.803391 -   1.3s
[CV] c1=0.922136680239156, c2=0.002012877106511246 ...................
[CV]  c1=0.922136680239156, c2=0.002012877106511246, score=0.790895 -   1.2s
[CV] c1=0.034224859090997456, c2=0.05703966764982746 .................
[CV]  c1=0.034224859090997456, c2=0.05703966764982746, score=0.751055 -   1.0s
[CV] c1=1.0841793321476074, c2=0.0622161824085021 ....................
[CV]  c1=1.0841793321476074, c2=0.0622161824085021, score=0.599884 -   1.2s
[CV] c1=0.13124995289391914, c2=0.01436255645946885 ..................
[CV]  c1=0.13124995289391914, c2=0.01436255645946885, score=0.864640 -   1.2s
[CV] c1=0.13892917335987895, c2=0.03755119114613714 ..................
[CV]  c1=0.13892917335987895, c2=0.03755119114613714, score=0.803391 -   1.4s
[CV] c1=0.22744507719715443, c2=0.02451348101715309 ..................
[CV]  c1=0.22744507719715443, c2=0.02451348101715309, score=0.860111 -   1.2s
[CV] c1=0.38317137888250047, c2=0.23821406635414477 ..................
[CV]  c1=0.38317137888250047, c2=0.23821406635414477, score=0.678079 -   1.0s
[CV] c1=0.21571944939766222, c2=0.07183458928448436 ..................
[CV]  c1=0.21571944939766222, c2=0.07183458928448436, score=0.803391 -   1.3s
[CV] c1=0.7233743140399643, c2=0.1625547297816512 ....................
[CV]  c1=0.7233743140399643, c2=0.1625547297816512, score=0.858944 -   1.3s
[CV] c1=0.14872725406792042, c2=0.01593432223938637 ..................
[CV]  c1=0.14872725406792042, c2=0.01593432223938637, score=0.860111 -   1.3s
[CV] c1=0.26543500831285194, c2=0.01620082630760978 ..................
[CV]  c1=0.26543500831285194, c2=0.01620082630760978, score=0.901503 -   1.3s
[CV] c1=0.15133593730168737, c2=0.030257770623261883 .................
[CV]  c1=0.15133593730168737, c2=0.030257770623261883, score=0.875588 -   1.3s
[CV] c1=0.8420324471192575, c2=0.06810320803126461 ...................
[CV]  c1=0.8420324471192575, c2=0.06810320803126461, score=0.633739 -   1.3s
[CV] c1=0.034224859090997456, c2=0.05703966764982746 .................
[CV]  c1=0.034224859090997456, c2=0.05703966764982746, score=0.802578 -   1.3s
[CV] c1=1.0841793321476074, c2=0.0622161824085021 ....................
[CV]  c1=1.0841793321476074, c2=0.0622161824085021, score=0.638580 -   1.1s
[CV] c1=0.13124995289391914, c2=0.01436255645946885 ..................
[CV]  c1=0.13124995289391914, c2=0.01436255645946885, score=0.895632 -   1.2s
[CV] c1=0.13892917335987895, c2=0.03755119114613714 ..................
[CV]  c1=0.13892917335987895, c2=0.03755119114613714, score=0.692515 -   1.0s
[CV] c1=0.5455935381693826, c2=0.02488383088629692 ...................
[CV]  c1=0.5455935381693826, c2=0.02488383088629692, score=0.782010 -   1.3s
[CV] c1=0.4856208587666309, c2=0.05843613260400739 ...................
[CV]  c1=0.4856208587666309, c2=0.05843613260400739, score=0.713036 -   1.4s
[CV] c1=0.21571944939766222, c2=0.07183458928448436 ..................
[CV]  c1=0.21571944939766222, c2=0.07183458928448436, score=0.900040 -   1.3s
[CV] c1=1.4033519102029808, c2=0.06862683843692478 ...................
[CV]  c1=1.4033519102029808, c2=0.06862683843692478, score=0.622844 -   1.3s
[CV] c1=1.3767787996126326, c2=0.013614591624128076 ..................
[CV]  c1=1.3767787996126326, c2=0.013614591624128076, score=0.733134 -   1.2s
[CV] c1=0.6185481211896823, c2=0.1560519676084868 ....................
[CV]  c1=0.6185481211896823, c2=0.1560519676084868, score=0.762005 -   1.4s
[CV] c1=0.32124088853517885, c2=0.018973025941432797 .................
[CV]  c1=0.32124088853517885, c2=0.018973025941432797, score=0.795741 -   1.3s
[CV] c1=0.0007640764352162197, c2=0.07575823796669318 ................
[CV]  c1=0.0007640764352162197, c2=0.07575823796669318, score=0.760778 -   1.3s
[CV] c1=0.29126432456289325, c2=0.06135825623214974 ..................
[CV]  c1=0.29126432456289325, c2=0.06135825623214974, score=0.785386 -   1.5s
[CV] c1=0.24819655641509653, c2=0.12989273833258114 ..................
[CV]  c1=0.24819655641509653, c2=0.12989273833258114, score=0.840313 -   1.1s
[CV] c1=0.10316071552476618, c2=0.03277356160413752 ..................
[CV]  c1=0.10316071552476618, c2=0.03277356160413752, score=0.804160 -   1.2s
[CV] c1=0.23610502350349594, c2=0.012937351889081112 .................
[CV]  c1=0.23610502350349594, c2=0.012937351889081112, score=0.910611 -   1.3s
[CV] c1=0.5498563956811809, c2=0.03717291428012482 ...................
[CV]  c1=0.5498563956811809, c2=0.03717291428012482, score=0.723065 -   1.2s
[CV] c1=0.3803661953807717, c2=0.03212973505405175 ...................
[CV]  c1=0.3803661953807717, c2=0.03212973505405175, score=0.902202 -   1.2s
[CV] c1=0.6599996924863498, c2=0.0018658990829951403 .................
[CV]  c1=0.6599996924863498, c2=0.0018658990829951403, score=0.773572 -   1.3s
[CV] c1=1.4033519102029808, c2=0.06862683843692478 ...................
[CV]  c1=1.4033519102029808, c2=0.06862683843692478, score=0.797183 -   1.3s
[CV] c1=1.3767787996126326, c2=0.013614591624128076 ..................
[CV]  c1=1.3767787996126326, c2=0.013614591624128076, score=0.598836 -   1.1s
[CV] c1=0.5029585318127142, c2=0.05317729817203879 ...................
[CV]  c1=0.5029585318127142, c2=0.05317729817203879, score=0.686533 -   1.0s
[CV] c1=0.08768443957022072, c2=0.0072050779180903995 ................
[CV]  c1=0.08768443957022072, c2=0.0072050779180903995, score=0.728556 -   0.9s
[CV] c1=1.4716690127043035, c2=0.011619989954349583 ..................
[CV]  c1=1.4716690127043035, c2=0.011619989954349583, score=0.589635 -   1.0s
[CV] c1=0.8420324471192575, c2=0.06810320803126461 ...................
[CV]  c1=0.8420324471192575, c2=0.06810320803126461, score=0.784463 -   1.3s
[CV] c1=0.29126432456289325, c2=0.06135825623214974 ..................
[CV]  c1=0.29126432456289325, c2=0.06135825623214974, score=0.800115 -   1.3s
[CV] c1=0.07703330734473147, c2=0.011531695937040133 .................
[CV]  c1=0.07703330734473147, c2=0.011531695937040133, score=0.881721 -   1.3s
[CV] c1=0.8758584709368444, c2=0.077032465415149 .....................
[CV]  c1=0.8758584709368444, c2=0.077032465415149, score=0.633739 -   1.3s
[CV] c1=1.0632514897075251, c2=0.021995905534860544 ..................
[CV]  c1=1.0632514897075251, c2=0.021995905534860544, score=0.779947 -   1.1s
[CV] c1=0.3123324371098123, c2=0.030267778479554277 ..................
[CV]  c1=0.3123324371098123, c2=0.030267778479554277, score=0.785386 -   1.3s
[CV] c1=0.15097876323276538, c2=0.047877882595375953 .................
[CV]  c1=0.15097876323276538, c2=0.047877882595375953, score=0.803391 -   1.3s
[CV] c1=0.10347960495005633, c2=0.039155572848516396 .................
[CV]  c1=0.10347960495005633, c2=0.039155572848516396, score=0.705135 -   1.0s
[CV] c1=0.1478245336690899, c2=0.06291137606509484 ...................
[CV]  c1=0.1478245336690899, c2=0.06291137606509484, score=0.790037 -   1.3s
[CV] c1=0.3236889274987152, c2=0.34745221021383954 ...................
[CV]  c1=0.3236889274987152, c2=0.34745221021383954, score=0.731488 -   1.3s
[CV] c1=0.10164332496705585, c2=0.09811400697150874 ..................
[CV]  c1=0.10164332496705585, c2=0.09811400697150874, score=0.782395 -   1.3s
[CV] c1=0.8840377024142682, c2=0.01129570556368462 ...................
[CV]  c1=0.8840377024142682, c2=0.01129570556368462, score=0.864182 -   1.2s
[CV] c1=0.05867915019377369, c2=0.08533335732344298 ..................
[CV]  c1=0.05867915019377369, c2=0.08533335732344298, score=0.787131 -   1.3s
[CV] c1=0.49882647578199146, c2=0.05641809563950412 ..................
[CV]  c1=0.49882647578199146, c2=0.05641809563950412, score=0.838342 -   1.2s
[CV] c1=0.24819655641509653, c2=0.12989273833258114 ..................
[CV]  c1=0.24819655641509653, c2=0.12989273833258114, score=0.768812 -   1.0s
[CV] c1=0.9201081683294792, c2=0.03022370419421382 ...................
[CV]  c1=0.9201081683294792, c2=0.03022370419421382, score=0.676265 -   1.4s
[CV] c1=0.23610502350349594, c2=0.012937351889081112 .................
[CV]  c1=0.23610502350349594, c2=0.012937351889081112, score=0.793437 -   1.4s
[CV] c1=0.6805571273567418, c2=0.005704509615493046 ..................
[CV]  c1=0.6805571273567418, c2=0.005704509615493046, score=0.820222 -   1.2s
[CV] c1=0.3803661953807717, c2=0.03212973505405175 ...................
[CV]  c1=0.3803661953807717, c2=0.03212973505405175, score=0.843721 -   1.2s
[CV] c1=0.21571944939766222, c2=0.07183458928448436 ..................
[CV]  c1=0.21571944939766222, c2=0.07183458928448436, score=0.839330 -   1.3s
[CV] c1=1.4033519102029808, c2=0.06862683843692478 ...................
[CV]  c1=1.4033519102029808, c2=0.06862683843692478, score=0.711730 -   1.2s
[CV] c1=1.3767787996126326, c2=0.013614591624128076 ..................
[CV]  c1=1.3767787996126326, c2=0.013614591624128076, score=0.563897 -   1.3s
[CV] c1=0.12238535059373482, c2=0.081905744055225 ....................
[CV]  c1=0.12238535059373482, c2=0.081905744055225, score=0.797959 -   1.3s
[CV] c1=0.32124088853517885, c2=0.018973025941432797 .................
[CV]  c1=0.32124088853517885, c2=0.018973025941432797, score=0.800364 -   1.3s
[CV] c1=0.8420324471192575, c2=0.06810320803126461 ...................
[CV]  c1=0.8420324471192575, c2=0.06810320803126461, score=0.668707 -   1.4s
[CV] c1=0.034224859090997456, c2=0.05703966764982746 .................
[CV]  c1=0.034224859090997456, c2=0.05703966764982746, score=0.855537 -   1.2s
[CV] c1=1.0543144197947105, c2=0.10239829113303651 ...................
[CV]  c1=1.0543144197947105, c2=0.10239829113303651, score=0.857162 -   1.2s
[CV] c1=0.8758584709368444, c2=0.077032465415149 .....................
[CV]  c1=0.8758584709368444, c2=0.077032465415149, score=0.639953 -   1.0s
[CV] c1=0.5801988724226915, c2=0.018159246620154623 ..................
[CV]  c1=0.5801988724226915, c2=0.018159246620154623, score=0.785028 -   1.3s
[CV] c1=0.8549657069053862, c2=0.09670228115708934 ...................
[CV]  c1=0.8549657069053862, c2=0.09670228115708934, score=0.856792 -   1.3s
[CV] c1=0.8537442079314304, c2=0.03379959462779685 ...................
[CV]  c1=0.8537442079314304, c2=0.03379959462779685, score=0.786703 -   1.2s
[CV] c1=0.021916225273621876, c2=0.0022395533692888396 ...............
[CV]  c1=0.021916225273621876, c2=0.0022395533692888396, score=0.870572 -   1.2s
[CV] c1=0.1478245336690899, c2=0.06291137606509484 ...................
[CV]  c1=0.1478245336690899, c2=0.06291137606509484, score=0.849818 -   1.3s
[CV] c1=0.3236889274987152, c2=0.34745221021383954 ...................
[CV]  c1=0.3236889274987152, c2=0.34745221021383954, score=0.768232 -   1.2s
[CV] c1=0.14874335196057092, c2=0.05373922644303139 ..................
[CV]  c1=0.14874335196057092, c2=0.05373922644303139, score=0.803391 -   1.3s
[CV] c1=1.4716690127043035, c2=0.011619989954349583 ..................
[CV]  c1=1.4716690127043035, c2=0.011619989954349583, score=0.617331 -   1.3s
[CV] c1=0.18530671978055652, c2=0.002732284962587329 .................
[CV]  c1=0.18530671978055652, c2=0.002732284962587329, score=0.729707 -   1.0s
[CV] c1=0.034224859090997456, c2=0.05703966764982746 .................
[CV]  c1=0.034224859090997456, c2=0.05703966764982746, score=0.800192 -   1.3s
[CV] c1=0.09999548039813017, c2=0.07868478606875728 ..................
[CV]  c1=0.09999548039813017, c2=0.07868478606875728, score=0.793371 -   1.3s
[CV] c1=0.6030222172246862, c2=0.10850622766364314 ...................
[CV]  c1=0.6030222172246862, c2=0.10850622766364314, score=0.771600 -   1.3s
[CV] c1=0.5455935381693826, c2=0.02488383088629692 ...................
[CV]  c1=0.5455935381693826, c2=0.02488383088629692, score=0.721906 -   1.0s
[CV] c1=0.5396978149792845, c2=0.1124696918942961 ....................
[CV]  c1=0.5396978149792845, c2=0.1124696918942961, score=0.844421 -   1.2s
[CV] c1=0.5215624333821032, c2=0.04611165426714978 ...................
[CV]  c1=0.5215624333821032, c2=0.04611165426714978, score=0.705636 -   1.0s
[CV] c1=0.021916225273621876, c2=0.0022395533692888396 ...............
[CV]  c1=0.021916225273621876, c2=0.0022395533692888396, score=0.816264 -   1.3s
[CV] c1=0.5504909284596913, c2=0.012494754679558738 ..................
[CV]  c1=0.5504909284596913, c2=0.012494754679558738, score=0.846298 -   1.2s
[CV] c1=0.5240221357943933, c2=0.012735510453285429 ..................
[CV]  c1=0.5240221357943933, c2=0.012735510453285429, score=0.723065 -   1.3s
[CV] c1=0.10164332496705585, c2=0.09811400697150874 ..................
[CV]  c1=0.10164332496705585, c2=0.09811400697150874, score=0.800192 -   1.3s
[CV] c1=0.8840377024142682, c2=0.01129570556368462 ...................
[CV]  c1=0.8840377024142682, c2=0.01129570556368462, score=0.668694 -   1.3s
[CV] c1=0.04874104969910125, c2=0.02772087437545434 ..................
[CV]  c1=0.04874104969910125, c2=0.02772087437545434, score=0.879215 -   1.2s
[CV] c1=0.38909125040831827, c2=0.10666678492361062 ..................
[CV]  c1=0.38909125040831827, c2=0.10666678492361062, score=0.683694 -   1.0s
[CV] c1=0.09999548039813017, c2=0.07868478606875728 ..................
[CV]  c1=0.09999548039813017, c2=0.07868478606875728, score=0.876654 -   1.3s
[CV] c1=1.0327592829824714, c2=0.00853168977662099 ...................
[CV]  c1=1.0327592829824714, c2=0.00853168977662099, score=0.629837 -   1.3s
[CV] c1=0.005927613336160409, c2=0.02011203496580617 .................
[CV]  c1=0.005927613336160409, c2=0.02011203496580617, score=0.802578 -   1.3s
[CV] c1=0.5396978149792845, c2=0.1124696918942961 ....................
[CV]  c1=0.5396978149792845, c2=0.1124696918942961, score=0.774044 -   1.3s
[CV] c1=0.21428600669139106, c2=0.033595589347625694 .................
[CV]  c1=0.21428600669139106, c2=0.033595589347625694, score=0.888841 -   1.3s
[CV] c1=0.5947247664401019, c2=0.012587722259678477 ..................
[CV]  c1=0.5947247664401019, c2=0.012587722259678477, score=0.715161 -   1.3s
[CV] c1=0.14040850888631407, c2=0.01727873719752727 ..................
[CV]  c1=0.14040850888631407, c2=0.01727873719752727, score=0.865502 -   1.2s
[CV] c1=0.3854603167002756, c2=0.03826086483701084 ...................
[CV]  c1=0.3854603167002756, c2=0.03826086483701084, score=0.849959 -   1.2s
[CV] c1=0.08768443957022072, c2=0.0072050779180903995 ................
[CV]  c1=0.08768443957022072, c2=0.0072050779180903995, score=0.801018 -   1.3s
[CV] c1=0.18593792668039855, c2=0.0113435921541083 ...................
[CV]  c1=0.18593792668039855, c2=0.0113435921541083, score=0.803391 -   1.3s
[CV] c1=0.876986427049812, c2=0.0768202787817279 .....................
[CV]  c1=0.876986427049812, c2=0.0768202787817279, score=0.639953 -   1.0s
[CV] c1=0.11772145364728798, c2=0.017640750085795822 .................
[CV]  c1=0.11772145364728798, c2=0.017640750085795822, score=0.803391 -   1.1s
[CV] c1=1.0543144197947105, c2=0.10239829113303651 ...................
[CV]  c1=1.0543144197947105, c2=0.10239829113303651, score=0.595395 -   1.0s
[CV] c1=0.03798832102780942, c2=0.03865575887758005 ..................
[CV]  c1=0.03798832102780942, c2=0.03865575887758005, score=0.858341 -   1.2s
[CV] c1=0.5801988724226915, c2=0.018159246620154623 ..................
[CV]  c1=0.5801988724226915, c2=0.018159246620154623, score=0.830673 -   1.2s
[CV] c1=0.26832150963765394, c2=0.16742904275501547 ..................
[CV]  c1=0.26832150963765394, c2=0.16742904275501547, score=0.740578 -   1.3s
[CV] c1=0.38317137888250047, c2=0.23821406635414477 ..................
[CV]  c1=0.38317137888250047, c2=0.23821406635414477, score=0.836389 -   1.2s
[CV] c1=0.032676603676886525, c2=0.03578606703871819 .................
[CV]  c1=0.032676603676886525, c2=0.03578606703871819, score=0.812081 -   1.3s
[CV] c1=0.7233743140399643, c2=0.1625547297816512 ....................
[CV]  c1=0.7233743140399643, c2=0.1625547297816512, score=0.756921 -   1.3s
[CV] c1=1.5224116472791613, c2=0.007277525104163821 ..................
[CV]  c1=1.5224116472791613, c2=0.007277525104163821, score=0.617331 -   1.3s
[CV] c1=0.14874335196057092, c2=0.05373922644303139 ..................
[CV]  c1=0.14874335196057092, c2=0.05373922644303139, score=0.892849 -   1.2s
[CV] c1=0.6198240235639791, c2=0.040418126039538656 ..................
[CV]  c1=0.6198240235639791, c2=0.040418126039538656, score=0.872230 -   1.3s
[CV] c1=0.922136680239156, c2=0.002012877106511246 ...................
[CV]  c1=0.922136680239156, c2=0.002012877106511246, score=0.670876 -   1.3s
[CV] c1=0.49882647578199146, c2=0.05641809563950412 ..................
[CV]  c1=0.49882647578199146, c2=0.05641809563950412, score=0.877977 -   1.2s
[CV] c1=0.13610355449188674, c2=0.08515642452357902 ..................
[CV]  c1=0.13610355449188674, c2=0.08515642452357902, score=0.699507 -   0.8s
[CV] c1=0.10316071552476618, c2=0.03277356160413752 ..................
[CV]  c1=0.10316071552476618, c2=0.03277356160413752, score=0.694715 -   1.1s
[CV] c1=0.2519576381193263, c2=0.03956816748419239 ...................
[CV]  c1=0.2519576381193263, c2=0.03956816748419239, score=0.793437 -   1.3s
[CV] c1=0.5455935381693826, c2=0.02488383088629692 ...................
[CV]  c1=0.5455935381693826, c2=0.02488383088629692, score=0.715161 -   1.2s
[CV] c1=0.4856208587666309, c2=0.05843613260400739 ...................
[CV]  c1=0.4856208587666309, c2=0.05843613260400739, score=0.873221 -   1.3s
[CV] c1=0.6599996924863498, c2=0.0018658990829951403 .................
[CV]  c1=0.6599996924863498, c2=0.0018658990829951403, score=0.719498 -   1.1s
[CV] c1=0.5947247664401019, c2=0.012587722259678477 ..................
[CV]  c1=0.5947247664401019, c2=0.012587722259678477, score=0.720133 -   1.0s
[CV] c1=0.12248527521132078, c2=0.0011191322589546185 ................
[CV]  c1=0.12248527521132078, c2=0.0011191322589546185, score=0.720214 -   1.1s
[CV] c1=0.5240221357943933, c2=0.012735510453285429 ..................
[CV]  c1=0.5240221357943933, c2=0.012735510453285429, score=0.898502 -   1.2s
[CV] c1=0.10164332496705585, c2=0.09811400697150874 ..................
[CV]  c1=0.10164332496705585, c2=0.09811400697150874, score=0.874397 -   1.3s
[CV] c1=1.4716690127043035, c2=0.011619989954349583 ..................
[CV]  c1=1.4716690127043035, c2=0.011619989954349583, score=0.563897 -   1.3s
[CV] c1=0.18530671978055652, c2=0.002732284962587329 .................
[CV]  c1=0.18530671978055652, c2=0.002732284962587329, score=0.847968 -   1.3s
[CV] c1=0.38909125040831827, c2=0.10666678492361062 ..................
[CV]  c1=0.38909125040831827, c2=0.10666678492361062, score=0.854033 -   1.1s
[CV] c1=0.7916832390850732, c2=0.027334001466577957 ..................
[CV]  c1=0.7916832390850732, c2=0.027334001466577957, score=0.861021 -   1.2s
[CV] c1=0.34118505549591205, c2=0.05611493072670373 ..................
[CV]  c1=0.34118505549591205, c2=0.05611493072670373, score=0.898077 -   1.2s
[CV] c1=0.34702772995043246, c2=0.036919838334062184 .................
[CV]  c1=0.34702772995043246, c2=0.036919838334062184, score=0.860111 -   1.2s
[CV] c1=0.22744507719715443, c2=0.02451348101715309 ..................
[CV]  c1=0.22744507719715443, c2=0.02451348101715309, score=0.728894 -   1.0s
[CV] c1=0.3473503556637928, c2=0.14599988035787698 ...................
[CV]  c1=0.3473503556637928, c2=0.14599988035787698, score=0.851623 -   1.3s
[CV] c1=0.032676603676886525, c2=0.03578606703871819 .................
[CV]  c1=0.032676603676886525, c2=0.03578606703871819, score=0.860542 -   1.2s
[CV] c1=0.8879324452002045, c2=0.0072216291713244375 .................
[CV]  c1=0.8879324452002045, c2=0.0072216291713244375, score=0.868670 -   1.3s
[CV] c1=1.5224116472791613, c2=0.007277525104163821 ..................
[CV]  c1=1.5224116472791613, c2=0.007277525104163821, score=0.555665 -   1.2s
[CV] c1=0.14874335196057092, c2=0.05373922644303139 ..................
[CV]  c1=0.14874335196057092, c2=0.05373922644303139, score=0.711419 -   1.2s
[CV] c1=0.6198240235639791, c2=0.040418126039538656 ..................
[CV]  c1=0.6198240235639791, c2=0.040418126039538656, score=0.709013 -   1.4s
[CV] c1=0.18530671978055652, c2=0.002732284962587329 .................
[CV]  c1=0.18530671978055652, c2=0.002732284962587329, score=0.903995 -   1.2s
[CV] c1=0.11772145364728798, c2=0.017640750085795822 .................
[CV]  c1=0.11772145364728798, c2=0.017640750085795822, score=0.898053 -   1.3s
[CV] c1=0.09999548039813017, c2=0.07868478606875728 ..................
[CV]  c1=0.09999548039813017, c2=0.07868478606875728, score=0.851811 -   1.2s
[CV] c1=0.6030222172246862, c2=0.10850622766364314 ...................
[CV]  c1=0.6030222172246862, c2=0.10850622766364314, score=0.691242 -   1.3s
[CV] c1=0.005927613336160409, c2=0.02011203496580617 .................
[CV]  c1=0.005927613336160409, c2=0.02011203496580617, score=0.802991 -   1.3s
[CV] c1=0.595844988159887, c2=0.09865384625998042 ....................
[CV]  c1=0.595844988159887, c2=0.09865384625998042, score=0.639878 -   1.0s
[CV] c1=0.15097876323276538, c2=0.047877882595375953 .................
[CV]  c1=0.15097876323276538, c2=0.047877882595375953, score=0.860111 -   1.4s
[CV] c1=0.10347960495005633, c2=0.039155572848516396 .................
[CV]  c1=0.10347960495005633, c2=0.039155572848516396, score=0.770687 -   1.3s
[CV] c1=0.14040850888631407, c2=0.01727873719752727 ..................
[CV]  c1=0.14040850888631407, c2=0.01727873719752727, score=0.801771 -   1.3s
[CV] c1=0.3854603167002756, c2=0.03826086483701084 ...................
[CV]  c1=0.3854603167002756, c2=0.03826086483701084, score=0.798323 -   1.3s
[CV] c1=1.564070310034985, c2=0.018771180821090236 ...................
[CV]  c1=1.564070310034985, c2=0.018771180821090236, score=0.547220 -   1.0s
[CV] c1=0.18593792668039855, c2=0.0113435921541083 ...................
[CV]  c1=0.18593792668039855, c2=0.0113435921541083, score=0.906707 -   1.2s
[CV] c1=0.04874104969910125, c2=0.02772087437545434 ..................
[CV]  c1=0.04874104969910125, c2=0.02772087437545434, score=0.744326 -   1.0s
[CV] c1=0.49882647578199146, c2=0.05641809563950412 ..................
[CV]  c1=0.49882647578199146, c2=0.05641809563950412, score=0.723065 -   1.3s
[CV] c1=0.7916832390850732, c2=0.027334001466577957 ..................
[CV]  c1=0.7916832390850732, c2=0.027334001466577957, score=0.801857 -   1.2s
[CV] c1=0.8758584709368444, c2=0.077032465415149 .....................
[CV]  c1=0.8758584709368444, c2=0.077032465415149, score=0.857265 -   1.2s
[CV] c1=0.4575227056593519, c2=0.003458752372454399 ..................
[CV]  c1=0.4575227056593519, c2=0.003458752372454399, score=0.713286 -   1.0s
[CV] c1=0.26832150963765394, c2=0.16742904275501547 ..................
[CV]  c1=0.26832150963765394, c2=0.16742904275501547, score=0.816887 -   1.2s
[CV] c1=0.3473503556637928, c2=0.14599988035787698 ...................
[CV]  c1=0.3473503556637928, c2=0.14599988035787698, score=0.808652 -   1.4s
[CV] c1=0.021916225273621876, c2=0.0022395533692888396 ...............
[CV]  c1=0.021916225273621876, c2=0.0022395533692888396, score=0.745692 -   1.0s
[CV] c1=0.7233743140399643, c2=0.1625547297816512 ....................
[CV]  c1=0.7233743140399643, c2=0.1625547297816512, score=0.741768 -   1.2s
[CV] c1=0.14872725406792042, c2=0.01593432223938637 ..................
[CV]  c1=0.14872725406792042, c2=0.01593432223938637, score=0.721656 -   1.1s
[CV] c1=0.6185481211896823, c2=0.1560519676084868 ....................
[CV]  c1=0.6185481211896823, c2=0.1560519676084868, score=0.831319 -   1.2s
[CV] c1=0.9163592929980886, c2=0.00300612805340296 ...................
[CV]  c1=0.9163592929980886, c2=0.00300612805340296, score=0.862837 -   1.2s
[CV] c1=0.27181266578239865, c2=0.04045093163433362 ..................
[CV]  c1=0.27181266578239865, c2=0.04045093163433362, score=0.888638 -   1.3s
[CV] c1=0.031383306346389486, c2=0.030223141645582204 ................
[CV]  c1=0.031383306346389486, c2=0.030223141645582204, score=0.751055 -   1.0s
[CV] c1=0.2170815890989476, c2=0.0009495544487940296 .................
[CV]  c1=0.2170815890989476, c2=0.0009495544487940296, score=0.901884 -   1.0s
[CV] c1=0.7916832390850732, c2=0.027334001466577957 ..................
[CV]  c1=0.7916832390850732, c2=0.027334001466577957, score=0.758841 -   1.2s
[CV] c1=0.34118505549591205, c2=0.05611493072670373 ..................
[CV]  c1=0.34118505549591205, c2=0.05611493072670373, score=0.800115 -   1.3s
[CV] c1=0.4575227056593519, c2=0.003458752372454399 ..................
[CV]  c1=0.4575227056593519, c2=0.003458752372454399, score=0.793801 -   1.3s
[CV] c1=0.3123324371098123, c2=0.030267778479554277 ..................
[CV]  c1=0.3123324371098123, c2=0.030267778479554277, score=0.857556 -   1.3s
[CV] c1=0.5215624333821032, c2=0.04611165426714978 ...................
[CV]  c1=0.5215624333821032, c2=0.04611165426714978, score=0.886518 -   1.2s
[CV] c1=1.4882288246113147, c2=0.06871473213207809 ...................
[CV]  c1=1.4882288246113147, c2=0.06871473213207809, score=0.717630 -   1.2s
[CV] c1=0.5504909284596913, c2=0.012494754679558738 ..................
[CV]  c1=0.5504909284596913, c2=0.012494754679558738, score=0.794430 -   1.3s
[CV] c1=0.5966133865643183, c2=0.07231338895892986 ...................
[CV]  c1=0.5966133865643183, c2=0.07231338895892986, score=0.784463 -   1.3s
[CV] c1=0.3554737006125487, c2=0.13657527991906568 ...................
[CV]  c1=0.3554737006125487, c2=0.13657527991906568, score=0.782379 -   1.3s
[CV] c1=0.18593792668039855, c2=0.0113435921541083 ...................
[CV]  c1=0.18593792668039855, c2=0.0113435921541083, score=0.801085 -   1.3s
[CV] c1=0.04874104969910125, c2=0.02772087437545434 ..................
[CV]  c1=0.04874104969910125, c2=0.02772087437545434, score=0.770687 -   1.3s
[CV] c1=0.2170815890989476, c2=0.0009495544487940296 .................
[CV]  c1=0.2170815890989476, c2=0.0009495544487940296, score=0.724428 -   1.0s
[CV] c1=0.3851243500278578, c2=0.0041593430306641485 .................
[CV]  c1=0.3851243500278578, c2=0.0041593430306641485, score=0.781665 -   1.2s
[CV] c1=0.03798832102780942, c2=0.03865575887758005 ..................
[CV]  c1=0.03798832102780942, c2=0.03865575887758005, score=0.728111 -   1.0s
[CV] c1=0.13892917335987895, c2=0.03755119114613714 ..................
[CV]  c1=0.13892917335987895, c2=0.03755119114613714, score=0.798088 -   1.3s
[CV] c1=0.26832150963765394, c2=0.16742904275501547 ..................
[CV]  c1=0.26832150963765394, c2=0.16742904275501547, score=0.858952 -   1.3s
[CV] c1=0.3473503556637928, c2=0.14599988035787698 ...................
[CV]  c1=0.3473503556637928, c2=0.14599988035787698, score=0.689278 -   1.1s
[CV] c1=0.21571944939766222, c2=0.07183458928448436 ..................
[CV]  c1=0.21571944939766222, c2=0.07183458928448436, score=0.709843 -   1.0s
[CV] c1=0.3436102657712511, c2=0.01959957461316604 ...................
[CV]  c1=0.3436102657712511, c2=0.01959957461316604, score=0.910398 -   1.2s
[CV] c1=0.019348816600808696, c2=0.15305668367377323 .................
[CV]  c1=0.019348816600808696, c2=0.15305668367377323, score=0.746341 -   1.0s
[CV] c1=0.3854603167002756, c2=0.03826086483701084 ...................
[CV]  c1=0.3854603167002756, c2=0.03826086483701084, score=0.722402 -   1.1s
[CV] c1=0.3554737006125487, c2=0.13657527991906568 ...................
[CV]  c1=0.3554737006125487, c2=0.13657527991906568, score=0.686437 -   1.0s
[CV] c1=0.6198240235639791, c2=0.040418126039538656 ..................
[CV]  c1=0.6198240235639791, c2=0.040418126039538656, score=0.779524 -   1.3s
[CV] c1=0.05867915019377369, c2=0.08533335732344298 ..................
[CV]  c1=0.05867915019377369, c2=0.08533335732344298, score=0.800192 -   1.3s
[CV] c1=0.49882647578199146, c2=0.05641809563950412 ..................
[CV]  c1=0.49882647578199146, c2=0.05641809563950412, score=0.777049 -   1.3s
[CV] c1=1.0841793321476074, c2=0.0622161824085021 ....................
[CV]  c1=1.0841793321476074, c2=0.0622161824085021, score=0.725225 -   1.0s
[CV] c1=0.10316071552476618, c2=0.03277356160413752 ..................
[CV]  c1=0.10316071552476618, c2=0.03277356160413752, score=0.770379 -   1.2s
[CV] c1=0.13892917335987895, c2=0.03755119114613714 ..................
[CV]  c1=0.13892917335987895, c2=0.03755119114613714, score=0.900296 -   1.3s
[CV] c1=0.6805571273567418, c2=0.005704509615493046 ..................
[CV]  c1=0.6805571273567418, c2=0.005704509615493046, score=0.867918 -   1.2s
[CV] c1=0.3803661953807717, c2=0.03212973505405175 ...................
[CV]  c1=0.3803661953807717, c2=0.03212973505405175, score=0.793437 -   1.3s
[CV] c1=0.032676603676886525, c2=0.03578606703871819 .................
[CV]  c1=0.032676603676886525, c2=0.03578606703871819, score=0.874061 -   1.3s
[CV] c1=0.7233743140399643, c2=0.1625547297816512 ....................
[CV]  c1=0.7233743140399643, c2=0.1625547297816512, score=0.668960 -   1.3s
[CV] c1=1.5224116472791613, c2=0.007277525104163821 ..................
[CV]  c1=1.5224116472791613, c2=0.007277525104163821, score=0.828524 -   1.2s
[CV] c1=0.26543500831285194, c2=0.01620082630760978 ..................
[CV]  c1=0.26543500831285194, c2=0.01620082630760978, score=0.731164 -   1.0s
[CV] c1=0.9163592929980886, c2=0.00300612805340296 ...................
[CV]  c1=0.9163592929980886, c2=0.00300612805340296, score=0.679074 -   1.3s
[CV] c1=0.0007640764352162197, c2=0.07575823796669318 ................
[CV]  c1=0.0007640764352162197, c2=0.07575823796669318, score=0.743315 -   1.0s
[CV] c1=0.031383306346389486, c2=0.030223141645582204 ................
[CV]  c1=0.031383306346389486, c2=0.030223141645582204, score=0.874011 -   1.3s
[CV] c1=0.9418613191188673, c2=0.0973025276734878 ....................
[CV]  c1=0.9418613191188673, c2=0.0973025276734878, score=0.620080 -   0.9s
[CV] c1=0.09999548039813017, c2=0.07868478606875728 ..................
[CV]  c1=0.09999548039813017, c2=0.07868478606875728, score=0.711043 -   1.3s
[CV] c1=0.6030222172246862, c2=0.10850622766364314 ...................
[CV]  c1=0.6030222172246862, c2=0.10850622766364314, score=0.866201 -   1.2s
[CV] c1=0.005927613336160409, c2=0.02011203496580617 .................
[CV]  c1=0.005927613336160409, c2=0.02011203496580617, score=0.757963 -   1.0s
[CV] c1=0.8549657069053862, c2=0.09670228115708934 ...................
[CV]  c1=0.8549657069053862, c2=0.09670228115708934, score=0.789351 -   1.2s
[CV] c1=0.8537442079314304, c2=0.03379959462779685 ...................
[CV]  c1=0.8537442079314304, c2=0.03379959462779685, score=0.678447 -   1.2s
[CV] c1=0.021916225273621876, c2=0.0022395533692888396 ...............
[CV]  c1=0.021916225273621876, c2=0.0022395533692888396, score=0.778523 -   1.3s
[CV] c1=0.5504909284596913, c2=0.012494754679558738 ..................
[CV]  c1=0.5504909284596913, c2=0.012494754679558738, score=0.719682 -   1.3s
[CV] c1=0.5966133865643183, c2=0.07231338895892986 ...................
[CV]  c1=0.5966133865643183, c2=0.07231338895892986, score=0.875284 -   1.2s
[CV] c1=0.3554737006125487, c2=0.13657527991906568 ...................
[CV]  c1=0.3554737006125487, c2=0.13657527991906568, score=0.854033 -   1.3s
[CV] c1=0.8840377024142682, c2=0.01129570556368462 ...................
[CV]  c1=0.8840377024142682, c2=0.01129570556368462, score=0.786703 -   1.2s
[CV] c1=0.18530671978055652, c2=0.002732284962587329 .................
[CV]  c1=0.18530671978055652, c2=0.002732284962587329, score=0.793736 -   1.2s
[CV] c1=0.11772145364728798, c2=0.017640750085795822 .................
[CV]  c1=0.11772145364728798, c2=0.017640750085795822, score=0.855151 -   1.2s
[CV] c1=0.09999548039813017, c2=0.07868478606875728 ..................
[CV]  c1=0.09999548039813017, c2=0.07868478606875728, score=0.800192 -   1.3s
[CV] c1=0.2519576381193263, c2=0.03956816748419239 ...................
[CV]  c1=0.2519576381193263, c2=0.03956816748419239, score=0.906504 -   1.2s
[CV] c1=0.5455935381693826, c2=0.02488383088629692 ...................
[CV]  c1=0.5455935381693826, c2=0.02488383088629692, score=0.886412 -   1.2s
[CV] c1=0.595844988159887, c2=0.09865384625998042 ....................
[CV]  c1=0.595844988159887, c2=0.09865384625998042, score=0.866611 -   1.3s
[CV] c1=0.21428600669139106, c2=0.033595589347625694 .................
[CV]  c1=0.21428600669139106, c2=0.033595589347625694, score=0.706186 -   1.0s
[CV] c1=0.10347960495005633, c2=0.039155572848516396 .................
[CV]  c1=0.10347960495005633, c2=0.039155572848516396, score=0.879215 -   1.3s
[CV] c1=0.12248527521132078, c2=0.0011191322589546185 ................
[CV]  c1=0.12248527521132078, c2=0.0011191322589546185, score=0.804160 -   1.3s
[CV] c1=0.3854603167002756, c2=0.03826086483701084 ...................
[CV]  c1=0.3854603167002756, c2=0.03826086483701084, score=0.900090 -   1.2s
[CV] c1=0.08768443957022072, c2=0.0072050779180903995 ................
[CV]  c1=0.08768443957022072, c2=0.0072050779180903995, score=0.881721 -   1.2s
[CV] c1=0.8840377024142682, c2=0.01129570556368462 ...................
[CV]  c1=0.8840377024142682, c2=0.01129570556368462, score=0.679074 -   1.3s
[CV] c1=0.04874104969910125, c2=0.02772087437545434 ..................
[CV]  c1=0.04874104969910125, c2=0.02772087437545434, score=0.804031 -   1.2s
[CV] c1=0.38909125040831827, c2=0.10666678492361062 ..................
[CV]  c1=0.38909125040831827, c2=0.10666678492361062, score=0.825853 -   1.1s
[CV] c1=0.07703330734473147, c2=0.011531695937040133 .................
[CV]  c1=0.07703330734473147, c2=0.011531695937040133, score=0.721349 -   1.0s
[CV] c1=0.34118505549591205, c2=0.05611493072670373 ..................
[CV]  c1=0.34118505549591205, c2=0.05611493072670373, score=0.785386 -   1.3s
[CV] c1=0.4575227056593519, c2=0.003458752372454399 ..................
[CV]  c1=0.4575227056593519, c2=0.003458752372454399, score=0.898622 -   1.1s
[CV] c1=0.22744507719715443, c2=0.02451348101715309 ..................
[CV]  c1=0.22744507719715443, c2=0.02451348101715309, score=0.793437 -   1.2s
[CV] c1=0.38317137888250047, c2=0.23821406635414477 ..................
[CV]  c1=0.38317137888250047, c2=0.23821406635414477, score=0.780848 -   1.3s
[CV] c1=1.4882288246113147, c2=0.06871473213207809 ...................
[CV]  c1=1.4882288246113147, c2=0.06871473213207809, score=0.764791 -   1.3s
[CV] c1=0.5504909284596913, c2=0.012494754679558738 ..................
[CV]  c1=0.5504909284596913, c2=0.012494754679558738, score=0.733547 -   0.9s
[CV] c1=1.5224116472791613, c2=0.007277525104163821 ..................
[CV]  c1=1.5224116472791613, c2=0.007277525104163821, score=0.585104 -   0.9s
[CV] c1=0.6185481211896823, c2=0.1560519676084868 ....................
[CV]  c1=0.6185481211896823, c2=0.1560519676084868, score=0.682825 -   1.3s
[CV] c1=0.9163592929980886, c2=0.00300612805340296 ...................
[CV]  c1=0.9163592929980886, c2=0.00300612805340296, score=0.790895 -   1.2s
[CV] c1=0.27181266578239865, c2=0.04045093163433362 ..................
[CV]  c1=0.27181266578239865, c2=0.04045093163433362, score=0.702727 -   1.1s
[CV] c1=0.876986427049812, c2=0.0768202787817279 .....................
[CV]  c1=0.876986427049812, c2=0.0768202787817279, score=0.666644 -   1.2s
[CV] c1=0.2170815890989476, c2=0.0009495544487940296 .................
[CV]  c1=0.2170815890989476, c2=0.0009495544487940296, score=0.797385 -   1.0s
[CV] c1=0.13610355449188674, c2=0.08515642452357902 ..................
[CV]  c1=0.13610355449188674, c2=0.08515642452357902, score=0.803699 -   1.3s
[CV] c1=0.34118505549591205, c2=0.05611493072670373 ..................
[CV]  c1=0.34118505549591205, c2=0.05611493072670373, score=0.847620 -   1.1s
[CV] c1=0.34702772995043246, c2=0.036919838334062184 .................
[CV]  c1=0.34702772995043246, c2=0.036919838334062184, score=0.722402 -   1.0s
[CV] c1=0.6805571273567418, c2=0.005704509615493046 ..................
[CV]  c1=0.6805571273567418, c2=0.005704509615493046, score=0.688634 -   1.3s
[CV] c1=0.3803661953807717, c2=0.03212973505405175 ...................
[CV]  c1=0.3803661953807717, c2=0.03212973505405175, score=0.803391 -   1.3s
[CV] c1=0.032676603676886525, c2=0.03578606703871819 .................
[CV]  c1=0.032676603676886525, c2=0.03578606703871819, score=0.800333 -   1.3s
[CV] c1=0.8879324452002045, c2=0.0072216291713244375 .................
[CV]  c1=0.8879324452002045, c2=0.0072216291713244375, score=0.671774 -   1.3s
[CV] c1=0.3236889274987152, c2=0.34745221021383954 ...................
[CV]  c1=0.3236889274987152, c2=0.34745221021383954, score=0.661717 -   1.0s
[CV] c1=0.12238535059373482, c2=0.081905744055225 ....................
[CV]  c1=0.12238535059373482, c2=0.081905744055225, score=0.793381 -   1.3s
[CV] c1=0.15133593730168737, c2=0.030257770623261883 .................
[CV]  c1=0.15133593730168737, c2=0.030257770623261883, score=0.713059 -   1.0s
[CV] c1=0.0007640764352162197, c2=0.07575823796669318 ................
[CV]  c1=0.0007640764352162197, c2=0.07575823796669318, score=0.866593 -   1.2s
[CV] c1=1.2728939615687187, c2=0.049566562205776404 ..................
[CV]  c1=1.2728939615687187, c2=0.049566562205776404, score=0.595899 -   1.0s
[CV] c1=0.9418613191188673, c2=0.0973025276734878 ....................
[CV]  c1=0.9418613191188673, c2=0.0973025276734878, score=0.849786 -   1.0s
[CV] c1=0.13610355449188674, c2=0.08515642452357902 ..................
[CV]  c1=0.13610355449188674, c2=0.08515642452357902, score=0.852982 -   1.2s
[CV] c1=0.03798832102780942, c2=0.03865575887758005 ..................
[CV]  c1=0.03798832102780942, c2=0.03865575887758005, score=0.760368 -   1.3s
[CV] c1=0.34702772995043246, c2=0.036919838334062184 .................
[CV]  c1=0.34702772995043246, c2=0.036919838334062184, score=0.785386 -   1.3s
[CV] c1=0.8549657069053862, c2=0.09670228115708934 ...................
[CV]  c1=0.8549657069053862, c2=0.09670228115708934, score=0.639953 -   1.0s
[CV] c1=0.3473503556637928, c2=0.14599988035787698 ...................
[CV]  c1=0.3473503556637928, c2=0.14599988035787698, score=0.779662 -   1.3s
[CV] c1=0.6377875163770037, c2=0.0009787531681947949 .................
[CV]  c1=0.6377875163770037, c2=0.0009787531681947949, score=0.731095 -   1.0s
[CV] c1=0.7233743140399643, c2=0.1625547297816512 ....................
[CV]  c1=0.7233743140399643, c2=0.1625547297816512, score=0.626402 -   1.0s
[CV] c1=0.019348816600808696, c2=0.15305668367377323 .................
[CV]  c1=0.019348816600808696, c2=0.15305668367377323, score=0.849610 -   1.2s
[CV] c1=0.5029585318127142, c2=0.05317729817203879 ...................
[CV]  c1=0.5029585318127142, c2=0.05317729817203879, score=0.827107 -   1.2s
[CV] c1=1.564070310034985, c2=0.018771180821090236 ...................
[CV]  c1=1.564070310034985, c2=0.018771180821090236, score=0.727463 -   1.2s
[CV] c1=1.8598412992299362, c2=0.04728030608282227 ...................
[CV]  c1=1.8598412992299362, c2=0.04728030608282227, score=0.709219 -   1.2s
[CV] c1=0.876986427049812, c2=0.0768202787817279 .....................
[CV]  c1=0.876986427049812, c2=0.0768202787817279, score=0.859337 -   1.2s
[CV] c1=0.2170815890989476, c2=0.0009495544487940296 .................
[CV]  c1=0.2170815890989476, c2=0.0009495544487940296, score=0.793737 -   1.1s
[CV] c1=0.3851243500278578, c2=0.0041593430306641485 .................
[CV]  c1=0.3851243500278578, c2=0.0041593430306641485, score=0.867047 -   1.2s
[CV] c1=0.03798832102780942, c2=0.03865575887758005 ..................
[CV]  c1=0.03798832102780942, c2=0.03865575887758005, score=0.874011 -   1.2s
[CV] c1=0.5801988724226915, c2=0.018159246620154623 ..................
[CV]  c1=0.5801988724226915, c2=0.018159246620154623, score=0.719498 -   1.0s
[CV] c1=0.5498563956811809, c2=0.03717291428012482 ...................
[CV]  c1=0.5498563956811809, c2=0.03717291428012482, score=0.785028 -   1.2s
[CV] c1=0.3803661953807717, c2=0.03212973505405175 ...................
[CV]  c1=0.3803661953807717, c2=0.03212973505405175, score=0.720460 -   1.0s
[CV] c1=0.21428600669139106, c2=0.033595589347625694 .................
[CV]  c1=0.21428600669139106, c2=0.033595589347625694, score=0.803391 -   1.3s
[CV] c1=0.3436102657712511, c2=0.01959957461316604 ...................
[CV]  c1=0.3436102657712511, c2=0.01959957461316604, score=0.727927 -   1.0s
[CV] c1=0.14040850888631407, c2=0.01727873719752727 ..................
[CV]  c1=0.14040850888631407, c2=0.01727873719752727, score=0.879215 -   1.2s
[CV] c1=0.5966133865643183, c2=0.07231338895892986 ...................
[CV]  c1=0.5966133865643183, c2=0.07231338895892986, score=0.774044 -   1.3s
[CV] c1=0.08768443957022072, c2=0.0072050779180903995 ................
[CV]  c1=0.08768443957022072, c2=0.0072050779180903995, score=0.871752 -   1.2s
[CV] c1=0.18593792668039855, c2=0.0113435921541083 ...................
[CV]  c1=0.18593792668039855, c2=0.0113435921541083, score=0.867909 -   1.2s
[CV] c1=0.04874104969910125, c2=0.02772087437545434 ..................
[CV]  c1=0.04874104969910125, c2=0.02772087437545434, score=0.860542 -   1.2s
[CV] c1=0.38909125040831827, c2=0.10666678492361062 ..................
[CV]  c1=0.38909125040831827, c2=0.10666678492361062, score=0.724897 -   1.2s
[CV] c1=1.0841793321476074, c2=0.0622161824085021 ....................
[CV]  c1=1.0841793321476074, c2=0.0622161824085021, score=0.608043 -   0.7s
[CV] c1=0.9201081683294792, c2=0.03022370419421382 ...................
[CV]  c1=0.9201081683294792, c2=0.03022370419421382, score=0.862075 -   1.3s
[CV] c1=0.2519576381193263, c2=0.03956816748419239 ...................
[CV]  c1=0.2519576381193263, c2=0.03956816748419239, score=0.710604 -   1.0s
[CV] c1=1.0632514897075251, c2=0.021995905534860544 ..................
[CV]  c1=1.0632514897075251, c2=0.021995905534860544, score=0.633739 -   1.3s
[CV] c1=0.5396978149792845, c2=0.1124696918942961 ....................
[CV]  c1=0.5396978149792845, c2=0.1124696918942961, score=0.691242 -   1.3s
[CV] c1=0.5215624333821032, c2=0.04611165426714978 ...................
[CV]  c1=0.5215624333821032, c2=0.04611165426714978, score=0.817536 -   1.2s
[CV] c1=0.10347960495005633, c2=0.039155572848516396 .................
[CV]  c1=0.10347960495005633, c2=0.039155572848516396, score=0.806009 -   1.3s
[CV] c1=0.12248527521132078, c2=0.0011191322589546185 ................
[CV]  c1=0.12248527521132078, c2=0.0011191322589546185, score=0.803391 -   1.3s
[CV] c1=0.3854603167002756, c2=0.03826086483701084 ...................
[CV]  c1=0.3854603167002756, c2=0.03826086483701084, score=0.768128 -   1.3s
[CV] c1=0.08768443957022072, c2=0.0072050779180903995 ................
[CV]  c1=0.08768443957022072, c2=0.0072050779180903995, score=0.812869 -   1.3s
[CV] c1=1.8598412992299362, c2=0.04728030608282227 ...................
[CV]  c1=1.8598412992299362, c2=0.04728030608282227, score=0.515030 -   1.0s
[CV] c1=0.18530671978055652, c2=0.002732284962587329 .................
[CV]  c1=0.18530671978055652, c2=0.002732284962587329, score=0.803391 -   1.3s
[CV] c1=0.38909125040831827, c2=0.10666678492361062 ..................
[CV]  c1=0.38909125040831827, c2=0.10666678492361062, score=0.782379 -   1.1s
[CV] c1=0.07703330734473147, c2=0.011531695937040133 .................
[CV]  c1=0.07703330734473147, c2=0.011531695937040133, score=0.806751 -   1.2s
[CV] c1=1.0327592829824714, c2=0.00853168977662099 ...................
[CV]  c1=1.0327592829824714, c2=0.00853168977662099, score=0.786703 -   1.2s
[CV] c1=1.0632514897075251, c2=0.021995905534860544 ..................
[CV]  c1=1.0632514897075251, c2=0.021995905534860544, score=0.635204 -   1.0s
[CV] c1=0.22744507719715443, c2=0.02451348101715309 ..................
[CV]  c1=0.22744507719715443, c2=0.02451348101715309, score=0.803391 -   1.3s
[CV] c1=0.8537442079314304, c2=0.03379959462779685 ...................
[CV]  c1=0.8537442079314304, c2=0.03379959462779685, score=0.718939 -   1.3s
[CV] c1=1.4882288246113147, c2=0.06871473213207809 ...................
[CV]  c1=1.4882288246113147, c2=0.06871473213207809, score=0.622844 -   1.2s
[CV] c1=0.1478245336690899, c2=0.06291137606509484 ...................
[CV]  c1=0.1478245336690899, c2=0.06291137606509484, score=0.803391 -   1.3s
[CV] c1=0.5240221357943933, c2=0.012735510453285429 ..................
[CV]  c1=0.5240221357943933, c2=0.012735510453285429, score=0.843358 -   1.2s
[CV] c1=0.10164332496705585, c2=0.09811400697150874 ..................
[CV]  c1=0.10164332496705585, c2=0.09811400697150874, score=0.703628 -   1.0s
[CV] c1=0.15133593730168737, c2=0.030257770623261883 .................
[CV]  c1=0.15133593730168737, c2=0.030257770623261883, score=0.860111 -   1.2s
[CV] c1=0.8420324471192575, c2=0.06810320803126461 ...................
[CV]  c1=0.8420324471192575, c2=0.06810320803126461, score=0.639953 -   0.9s
[CV] c1=0.031383306346389486, c2=0.030223141645582204 ................
[CV]  c1=0.031383306346389486, c2=0.030223141645582204, score=0.810511 -   1.3s
[CV] c1=0.11849749386368723, c2=0.13367171428074986 ..................
[CV]  c1=0.11849749386368723, c2=0.13367171428074986, score=0.700855 -   0.7s
[CV] c1=0.07703330734473147, c2=0.011531695937040133 .................
[CV]  c1=0.07703330734473147, c2=0.011531695937040133, score=0.858592 -   1.2s
[CV] c1=1.0327592829824714, c2=0.00853168977662099 ...................
[CV]  c1=1.0327592829824714, c2=0.00853168977662099, score=0.633301 -   1.3s
[CV] c1=0.005927613336160409, c2=0.02011203496580617 .................
[CV]  c1=0.005927613336160409, c2=0.02011203496580617, score=0.865271 -   1.2s
[CV] c1=0.5396978149792845, c2=0.1124696918942961 ....................
[CV]  c1=0.5396978149792845, c2=0.1124696918942961, score=0.666861 -   1.0s
[CV] c1=0.8537442079314304, c2=0.03379959462779685 ...................
[CV]  c1=0.8537442079314304, c2=0.03379959462779685, score=0.672390 -   1.0s
[CV] c1=0.032676603676886525, c2=0.03578606703871819 .................
[CV]  c1=0.032676603676886525, c2=0.03578606703871819, score=0.730370 -   0.9s
[CV] c1=0.3436102657712511, c2=0.01959957461316604 ...................
[CV]  c1=0.3436102657712511, c2=0.01959957461316604, score=0.803391 -   1.3s
[CV] c1=0.019348816600808696, c2=0.15305668367377323 .................
[CV]  c1=0.019348816600808696, c2=0.15305668367377323, score=0.760368 -   1.3s
[CV] c1=0.6185481211896823, c2=0.1560519676084868 ....................
[CV]  c1=0.6185481211896823, c2=0.1560519676084868, score=0.776221 -   1.2s
[CV] c1=0.9163592929980886, c2=0.00300612805340296 ...................
[CV]  c1=0.9163592929980886, c2=0.00300612805340296, score=0.663261 -   1.3s
[CV] c1=0.27181266578239865, c2=0.04045093163433362 ..................
[CV]  c1=0.27181266578239865, c2=0.04045093163433362, score=0.803391 -   1.3s
[CV] c1=1.2728939615687187, c2=0.049566562205776404 ..................
[CV]  c1=1.2728939615687187, c2=0.049566562205776404, score=0.856500 -   1.2s
[CV] c1=0.11849749386368723, c2=0.13367171428074986 ..................
[CV]  c1=0.11849749386368723, c2=0.13367171428074986, score=0.872534 -   0.9s
[CV] c1=0.7916832390850732, c2=0.027334001466577957 ..................
[CV]  c1=0.7916832390850732, c2=0.027334001466577957, score=0.678484 -   1.3s
[CV] c1=0.8758584709368444, c2=0.077032465415149 .....................
[CV]  c1=0.8758584709368444, c2=0.077032465415149, score=0.666644 -   1.3s
[CV] c1=1.0632514897075251, c2=0.021995905534860544 ..................
[CV]  c1=1.0632514897075251, c2=0.021995905534860544, score=0.863457 -   1.2s
[CV] c1=0.3123324371098123, c2=0.030267778479554277 ..................
[CV]  c1=0.3123324371098123, c2=0.030267778479554277, score=0.709344 -   1.0s
[CV] c1=0.8537442079314304, c2=0.03379959462779685 ...................
[CV]  c1=0.8537442079314304, c2=0.03379959462779685, score=0.861782 -   1.2s
[CV] c1=0.021916225273621876, c2=0.0022395533692888396 ...............
[CV]  c1=0.021916225273621876, c2=0.0022395533692888396, score=0.864166 -   1.4s
[CV] c1=0.5504909284596913, c2=0.012494754679558738 ..................
[CV]  c1=0.5504909284596913, c2=0.012494754679558738, score=0.883242 -   1.2s
[CV] c1=0.5240221357943933, c2=0.012735510453285429 ..................
[CV]  c1=0.5240221357943933, c2=0.012735510453285429, score=0.737645 -   1.0s
[CV] c1=0.26543500831285194, c2=0.01620082630760978 ..................
[CV]  c1=0.26543500831285194, c2=0.01620082630760978, score=0.803391 -   1.3s
[CV] c1=0.6198240235639791, c2=0.040418126039538656 ..................
[CV]  c1=0.6198240235639791, c2=0.040418126039538656, score=0.795964 -   1.2s
[CV] c1=0.922136680239156, c2=0.002012877106511246 ...................
[CV]  c1=0.922136680239156, c2=0.002012877106511246, score=0.671778 -   1.4s
[CV] c1=0.11772145364728798, c2=0.017640750085795822 .................
[CV]  c1=0.11772145364728798, c2=0.017640750085795822, score=0.804160 -   1.2s
[CV] c1=0.7916832390850732, c2=0.027334001466577957 ..................
[CV]  c1=0.7916832390850732, c2=0.027334001466577957, score=0.690039 -   1.0s
[CV] c1=0.13124995289391914, c2=0.01436255645946885 ..................
[CV]  c1=0.13124995289391914, c2=0.01436255645946885, score=0.804160 -   1.3s
[CV] c1=0.5801988724226915, c2=0.018159246620154623 ..................
[CV]  c1=0.5801988724226915, c2=0.018159246620154623, score=0.876291 -   1.3s
[CV] c1=0.26832150963765394, c2=0.16742904275501547 ..................
[CV]  c1=0.26832150963765394, c2=0.16742904275501547, score=0.700888 -   1.0s
[CV] c1=0.4856208587666309, c2=0.05843613260400739 ...................
[CV]  c1=0.4856208587666309, c2=0.05843613260400739, score=0.782379 -   1.3s
[CV] c1=0.21571944939766222, c2=0.07183458928448436 ..................
[CV]  c1=0.21571944939766222, c2=0.07183458928448436, score=0.787733 -   1.3s
[CV] c1=1.4033519102029808, c2=0.06862683843692478 ...................
[CV]  c1=1.4033519102029808, c2=0.06862683843692478, score=0.546901 -   1.3s
[CV] c1=0.14872725406792042, c2=0.01593432223938637 ..................
[CV]  c1=0.14872725406792042, c2=0.01593432223938637, score=0.904464 -   1.2s
[CV] c1=0.12238535059373482, c2=0.081905744055225 ....................
[CV]  c1=0.12238535059373482, c2=0.081905744055225, score=0.720137 -   1.0s
[CV] c1=0.9163592929980886, c2=0.00300612805340296 ...................
[CV]  c1=0.9163592929980886, c2=0.00300612805340296, score=0.685701 -   1.0s
[CV] c1=1.8598412992299362, c2=0.04728030608282227 ...................
[CV]  c1=1.8598412992299362, c2=0.04728030608282227, score=0.602718 -   1.3s
[CV] c1=0.876986427049812, c2=0.0768202787817279 .....................
[CV]  c1=0.876986427049812, c2=0.0768202787817279, score=0.761170 -   1.2s
[CV] c1=0.2170815890989476, c2=0.0009495544487940296 .................
[CV]  c1=0.2170815890989476, c2=0.0009495544487940296, score=0.862518 -   1.1s
[CV] c1=0.3851243500278578, c2=0.0041593430306641485 .................
[CV]  c1=0.3851243500278578, c2=0.0041593430306641485, score=0.910398 -   1.2s
[CV] c1=0.13124995289391914, c2=0.01436255645946885 ..................
[CV]  c1=0.13124995289391914, c2=0.01436255645946885, score=0.727656 -   1.0s
[CV] c1=0.23610502350349594, c2=0.012937351889081112 .................
[CV]  c1=0.23610502350349594, c2=0.012937351889081112, score=0.803391 -   1.3s
[CV] c1=0.6805571273567418, c2=0.005704509615493046 ..................
[CV]  c1=0.6805571273567418, c2=0.005704509615493046, score=0.715792 -   0.9s
[CV] c1=0.595844988159887, c2=0.09865384625998042 ....................
[CV]  c1=0.595844988159887, c2=0.09865384625998042, score=0.771600 -   1.4s
[CV] c1=0.6599996924863498, c2=0.0018658990829951403 .................
[CV]  c1=0.6599996924863498, c2=0.0018658990829951403, score=0.698816 -   1.4s
[CV] c1=1.4033519102029808, c2=0.06862683843692478 ...................
[CV]  c1=1.4033519102029808, c2=0.06862683843692478, score=0.573658 -   1.0s
[CV] c1=0.019348816600808696, c2=0.15305668367377323 .................
[CV]  c1=0.019348816600808696, c2=0.15305668367377323, score=0.872534 -   1.3s
[CV] c1=0.5029585318127142, c2=0.05317729817203879 ...................
[CV]  c1=0.5029585318127142, c2=0.05317729817203879, score=0.881456 -   1.3s
[CV] c1=1.564070310034985, c2=0.018771180821090236 ...................
[CV]  c1=1.564070310034985, c2=0.018771180821090236, score=0.617331 -   1.2s
[CV] c1=1.8598412992299362, c2=0.04728030608282227 ...................
[CV]  c1=1.8598412992299362, c2=0.04728030608282227, score=0.540460 -   1.3s
[CV] c1=0.031383306346389486, c2=0.030223141645582204 ................
[CV]  c1=0.031383306346389486, c2=0.030223141645582204, score=0.797054 -   1.3s
[CV] c1=0.9418613191188673, c2=0.0973025276734878 ....................
[CV]  c1=0.9418613191188673, c2=0.0973025276734878, score=0.749901 -   1.0s
[CV] c1=0.3851243500278578, c2=0.0041593430306641485 .................
[CV]  c1=0.3851243500278578, c2=0.0041593430306641485, score=0.740533 -   0.9s
[CV] c1=0.9201081683294792, c2=0.03022370419421382 ...................
[CV]  c1=0.9201081683294792, c2=0.03022370419421382, score=0.633739 -   1.3s
[CV] c1=0.2519576381193263, c2=0.03956816748419239 ...................
[CV]  c1=0.2519576381193263, c2=0.03956816748419239, score=0.803391 -   1.3s
[CV] c1=0.5498563956811809, c2=0.03717291428012482 ...................
[CV]  c1=0.5498563956811809, c2=0.03717291428012482, score=0.715728 -   1.0s
[CV] c1=0.595844988159887, c2=0.09865384625998042 ....................
[CV]  c1=0.595844988159887, c2=0.09865384625998042, score=0.691242 -   1.3s
[CV] c1=0.21428600669139106, c2=0.033595589347625694 .................
[CV]  c1=0.21428600669139106, c2=0.033595589347625694, score=0.857556 -   1.2s
[CV] c1=0.5947247664401019, c2=0.012587722259678477 ..................
[CV]  c1=0.5947247664401019, c2=0.012587722259678477, score=0.785028 -   1.3s
[CV] c1=0.14040850888631407, c2=0.01727873719752727 ..................
[CV]  c1=0.14040850888631407, c2=0.01727873719752727, score=0.803391 -   1.3s
[CV] c1=0.5029585318127142, c2=0.05317729817203879 ...................
[CV]  c1=0.5029585318127142, c2=0.05317729817203879, score=0.723065 -   1.3s
[CV] c1=1.564070310034985, c2=0.018771180821090236 ...................
[CV]  c1=1.564070310034985, c2=0.018771180821090236, score=0.545770 -   1.3s
[CV] c1=0.27181266578239865, c2=0.04045093163433362 ..................
[CV]  c1=0.27181266578239865, c2=0.04045093163433362, score=0.793437 -   1.3s
[CV] c1=0.031383306346389486, c2=0.030223141645582204 ................
[CV]  c1=0.031383306346389486, c2=0.030223141645582204, score=0.860542 -   1.2s
[CV] c1=0.9418613191188673, c2=0.0973025276734878 ....................
[CV]  c1=0.9418613191188673, c2=0.0973025276734878, score=0.659531 -   1.0s
[CV] c1=0.13610355449188674, c2=0.08515642452357902 ..................
[CV]  c1=0.13610355449188674, c2=0.08515642452357902, score=0.790037 -   1.3s
[CV] c1=0.34118505549591205, c2=0.05611493072670373 ..................
[CV]  c1=0.34118505549591205, c2=0.05611493072670373, score=0.694262 -   1.0s
[CV] c1=0.13892917335987895, c2=0.03755119114613714 ..................
[CV]  c1=0.13892917335987895, c2=0.03755119114613714, score=0.858592 -   1.3s
[CV] c1=0.6805571273567418, c2=0.005704509615493046 ..................
[CV]  c1=0.6805571273567418, c2=0.005704509615493046, score=0.771203 -   1.3s
[CV] c1=0.3473503556637928, c2=0.14599988035787698 ...................
[CV]  c1=0.3473503556637928, c2=0.14599988035787698, score=0.730151 -   1.3s
[CV] c1=0.6377875163770037, c2=0.0009787531681947949 .................
[CV]  c1=0.6377875163770037, c2=0.0009787531681947949, score=0.876641 -   1.2s
[CV] c1=0.8879324452002045, c2=0.0072216291713244375 .................
[CV]  c1=0.8879324452002045, c2=0.0072216291713244375, score=0.686292 -   1.1s
[CV] c1=0.14872725406792042, c2=0.01593432223938637 ..................
[CV]  c1=0.14872725406792042, c2=0.01593432223938637, score=0.793721 -   1.3s
[CV] c1=0.12238535059373482, c2=0.081905744055225 ....................
[CV]  c1=0.12238535059373482, c2=0.081905744055225, score=0.852982 -   1.2s
[CV] c1=0.32124088853517885, c2=0.018973025941432797 .................
[CV]  c1=0.32124088853517885, c2=0.018973025941432797, score=0.736796 -   1.0s
[CV] c1=0.27181266578239865, c2=0.04045093163433362 ..................
[CV]  c1=0.27181266578239865, c2=0.04045093163433362, score=0.860111 -   1.3s
[CV] c1=1.2728939615687187, c2=0.049566562205776404 ..................
[CV]  c1=1.2728939615687187, c2=0.049566562205776404, score=0.610594 -   1.3s
[CV] c1=0.11849749386368723, c2=0.13367171428074986 ..................
[CV]  c1=0.11849749386368723, c2=0.13367171428074986, score=0.774516 -   1.0s
[CV] c1=0.24819655641509653, c2=0.12989273833258114 ..................
[CV]  c1=0.24819655641509653, c2=0.12989273833258114, score=0.883734 -   1.1s
[CV] c1=0.10316071552476618, c2=0.03277356160413752 ..................
[CV]  c1=0.10316071552476618, c2=0.03277356160413752, score=0.879215 -   1.3s
[CV] c1=0.23610502350349594, c2=0.012937351889081112 .................
[CV]  c1=0.23610502350349594, c2=0.012937351889081112, score=0.748397 -   1.1s
[CV] c1=0.5455935381693826, c2=0.02488383088629692 ...................
[CV]  c1=0.5455935381693826, c2=0.02488383088629692, score=0.830060 -   1.2s
[CV] c1=0.595844988159887, c2=0.09865384625998042 ....................
[CV]  c1=0.595844988159887, c2=0.09865384625998042, score=0.791352 -   1.4s
[CV] c1=0.6599996924863498, c2=0.0018658990829951403 .................
[CV]  c1=0.6599996924863498, c2=0.0018658990829951403, score=0.883994 -   1.3s
[CV] c1=0.3436102657712511, c2=0.01959957461316604 ...................
[CV]  c1=0.3436102657712511, c2=0.01959957461316604, score=0.865898 -   1.3s
[CV] c1=1.3767787996126326, c2=0.013614591624128076 ..................
[CV]  c1=1.3767787996126326, c2=0.013614591624128076, score=0.851392 -   1.2s
[CV] c1=0.6185481211896823, c2=0.1560519676084868 ....................
[CV]  c1=0.6185481211896823, c2=0.1560519676084868, score=0.632352 -   1.0s
[CV] c1=1.564070310034985, c2=0.018771180821090236 ...................
[CV]  c1=1.564070310034985, c2=0.018771180821090236, score=0.772349 -   1.2s
[CV] c1=1.8598412992299362, c2=0.04728030608282227 ...................
[CV]  c1=1.8598412992299362, c2=0.04728030608282227, score=0.702819 -   1.3s
[CV] c1=0.876986427049812, c2=0.0768202787817279 .....................
[CV]  c1=0.876986427049812, c2=0.0768202787817279, score=0.638003 -   1.4s
[CV] c1=0.9418613191188673, c2=0.0973025276734878 ....................
[CV]  c1=0.9418613191188673, c2=0.0973025276734878, score=0.631306 -   1.1s
[CV] c1=1.0841793321476074, c2=0.0622161824085021 ....................
[CV]  c1=1.0841793321476074, c2=0.0622161824085021, score=0.854406 -   0.9s
[CV] c1=0.9201081683294792, c2=0.03022370419421382 ...................
[CV]  c1=0.9201081683294792, c2=0.03022370419421382, score=0.801857 -   1.3s
[CV] c1=0.2519576381193263, c2=0.03956816748419239 ...................
[CV]  c1=0.2519576381193263, c2=0.03956816748419239, score=0.857556 -   1.3s
[CV] c1=0.5498563956811809, c2=0.03717291428012482 ...................
[CV]  c1=0.5498563956811809, c2=0.03717291428012482, score=0.875609 -   1.2s
[CV] c1=0.4856208587666309, c2=0.05843613260400739 ...................
[CV]  c1=0.4856208587666309, c2=0.05843613260400739, score=0.692544 -   1.0s
[CV] c1=0.21428600669139106, c2=0.033595589347625694 .................
[CV]  c1=0.21428600669139106, c2=0.033595589347625694, score=0.793437 -   1.2s
[CV] c1=0.5947247664401019, c2=0.012587722259678477 ..................
[CV]  c1=0.5947247664401019, c2=0.012587722259678477, score=0.874628 -   1.3s
[CV] c1=0.14040850888631407, c2=0.01727873719752727 ..................
[CV]  c1=0.14040850888631407, c2=0.01727873719752727, score=0.712532 -   1.1s
[CV] c1=0.5966133865643183, c2=0.07231338895892986 ...................
[CV]  c1=0.5966133865643183, c2=0.07231338895892986, score=0.643757 -   1.0s
[CV] c1=0.14874335196057092, c2=0.05373922644303139 ..................
[CV]  c1=0.14874335196057092, c2=0.05373922644303139, score=0.855183 -   1.2s
[CV] c1=0.6198240235639791, c2=0.040418126039538656 ..................
[CV]  c1=0.6198240235639791, c2=0.040418126039538656, score=0.704989 -   1.1s
[CV] c1=0.8420324471192575, c2=0.06810320803126461 ...................
[CV]  c1=0.8420324471192575, c2=0.06810320803126461, score=0.864182 -   1.2s
[CV] c1=1.2728939615687187, c2=0.049566562205776404 ..................
[CV]  c1=1.2728939615687187, c2=0.049566562205776404, score=0.722337 -   1.2s
[CV] c1=0.11849749386368723, c2=0.13367171428074986 ..................
[CV]  c1=0.11849749386368723, c2=0.13367171428074986, score=0.849610 -   0.8s
Training done in: 17.600109s
     Saving training model...
        Saving training model done in: 0.012940s
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Prediction done in: 0.026913s