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

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Run14_v13.txt 72.9 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: Run14
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: TrueS4: True
Run variant: 13
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: 0.003720s
-------------------------------- 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      hUpper    False
7      hLower    False
8      hGreek    False
9        symb    False
10  lemma[:1]        :
11   -2:lemma  culture
12  -2:postag      VBN
13   +2:lemma  minimal
14  +2:postag       JJ
15     -1:ner        _
16     +1:ner      MED
17     -2:ner        _
18     +2:ner      MED
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10  lemma[:1]           d
11  lemma[:2]          de
12   -2:lemma     affyexp
13  -2:postag          JJ
14   +2:lemma     glucose
15  +2:postag          NN
16     -1:ner           _
17     +1:ner           _
18     -2:ner           _
19     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.35017827071383684, c2=0.015532124372292944 .................
[CV]  c1=0.35017827071383684, c2=0.015532124372292944, score=0.758081 -   1.8s
[CV] c1=0.44884727557679893, c2=0.0951546492440048 ...................
[CV]  c1=0.44884727557679893, c2=0.0951546492440048, score=0.885128 -   1.6s
[CV] c1=0.43317489371498913, c2=0.0015076639103849703 ................
[CV]  c1=0.43317489371498913, c2=0.0015076639103849703, score=0.920520 -   1.5s
[CV] c1=0.24856907124337033, c2=0.01714745797315375 ..................
[CV]  c1=0.24856907124337033, c2=0.01714745797315375, score=0.902926 -   1.6s
[CV] c1=0.06693083602818718, c2=0.05033525005800468 ..................
[CV]  c1=0.06693083602818718, c2=0.05033525005800468, score=0.799708 -   1.6s
[CV] c1=1.39422323224944, c2=0.010648963337882634 ....................
[CV]  c1=1.39422323224944, c2=0.010648963337882634, score=0.645115 -   1.6s
[CV] c1=0.5479857315428167, c2=0.023902595251252146 ..................
[CV]  c1=0.5479857315428167, c2=0.023902595251252146, score=0.883078 -   1.6s
[CV] c1=0.004619256178922591, c2=0.011346727482700849 ................
[CV]  c1=0.004619256178922591, c2=0.011346727482700849, score=0.845273 -   1.2s
[CV] c1=0.4770580786112717, c2=0.10956970400748285 ...................
[CV]  c1=0.4770580786112717, c2=0.10956970400748285, score=0.787382 -   1.2s
[CV] c1=1.3402754604540517, c2=0.0352185906538046 ....................
[CV]  c1=1.3402754604540517, c2=0.0352185906538046, score=0.855458 -   1.5s
[CV] c1=0.37895085742782786, c2=0.012073355073022644 .................
[CV]  c1=0.37895085742782786, c2=0.012073355073022644, score=0.803372 -   1.2s
[CV] c1=0.6859915230875829, c2=0.00033244895461042277 ................
[CV]  c1=0.6859915230875829, c2=0.00033244895461042277, score=0.893135 -   1.6s
[CV] c1=0.35017827071383684, c2=0.015532124372292944 .................
[CV]  c1=0.35017827071383684, c2=0.015532124372292944, score=0.864991 -   1.6s
[CV] c1=0.44884727557679893, c2=0.0951546492440048 ...................
[CV]  c1=0.44884727557679893, c2=0.0951546492440048, score=0.799704 -   1.3s
[CV] c1=0.345370905298738, c2=0.020689004526098054 ...................
[CV]  c1=0.345370905298738, c2=0.020689004526098054, score=0.812341 -   1.3s
[CV] c1=0.11056333963434634, c2=0.019476159050850757 .................
[CV]  c1=0.11056333963434634, c2=0.019476159050850757, score=0.840926 -   1.6s
[CV] c1=0.8286595389522671, c2=0.10426164668578633 ...................
[CV]  c1=0.8286595389522671, c2=0.10426164668578633, score=0.737595 -   1.3s
[CV] c1=0.5146580495008997, c2=0.004644405370589561 ..................
[CV]  c1=0.5146580495008997, c2=0.004644405370589561, score=0.850420 -   1.6s
[CV] c1=0.5864101363282318, c2=0.10719609312982284 ...................
[CV]  c1=0.5864101363282318, c2=0.10719609312982284, score=0.807716 -   1.5s
[CV] c1=0.46503923134934333, c2=0.0020288596414143683 ................
[CV]  c1=0.46503923134934333, c2=0.0020288596414143683, score=0.843421 -   1.5s
[CV] c1=0.39281875610104267, c2=0.03622909070084669 ..................
[CV]  c1=0.39281875610104267, c2=0.03622909070084669, score=0.867969 -   1.5s
[CV] c1=0.492038989936289, c2=0.022237559129727802 ...................
[CV]  c1=0.492038989936289, c2=0.022237559129727802, score=0.861150 -   1.6s
[CV] c1=0.05275382353533498, c2=0.05447748280630224 ..................
[CV]  c1=0.05275382353533498, c2=0.05447748280630224, score=0.799708 -   1.6s
[CV] c1=0.16868628827662824, c2=0.318197384951879 ....................
[CV]  c1=0.16868628827662824, c2=0.318197384951879, score=0.804870 -   1.6s
[CV] c1=1.160111299913775, c2=1.2264479048164272e-05 .................
[CV]  c1=1.160111299913775, c2=1.2264479048164272e-05, score=0.868205 -   1.5s
[CV] c1=0.5109549113896857, c2=0.02335641013164197 ...................
[CV]  c1=0.5109549113896857, c2=0.02335641013164197, score=0.844311 -   1.6s
[CV] c1=0.5273015450976181, c2=0.007072915916148783 ..................
[CV]  c1=0.5273015450976181, c2=0.007072915916148783, score=0.720898 -   1.5s
[CV] c1=0.10228019424453735, c2=0.13802412050084736 ..................
[CV]  c1=0.10228019424453735, c2=0.13802412050084736, score=0.864230 -   1.5s
[CV] c1=0.15589746668357796, c2=0.01688484300668192 ..................
[CV]  c1=0.15589746668357796, c2=0.01688484300668192, score=0.792198 -   1.3s
[CV] c1=0.17198204063587502, c2=0.03279007282690281 ..................
[CV]  c1=0.17198204063587502, c2=0.03279007282690281, score=0.790047 -   1.3s
[CV] c1=0.3135219409457214, c2=0.09242331180923632 ...................
[CV]  c1=0.3135219409457214, c2=0.09242331180923632, score=0.857318 -   1.5s
[CV] c1=0.36008497511819726, c2=0.0049277185031961985 ................
[CV]  c1=0.36008497511819726, c2=0.0049277185031961985, score=0.759959 -   1.5s
[CV] c1=0.4607606239336078, c2=0.006306276957035579 ..................
[CV]  c1=0.4607606239336078, c2=0.006306276957035579, score=0.830563 -   1.5s
[CV] c1=0.23724446580655864, c2=0.00765495768357585 ..................
[CV]  c1=0.23724446580655864, c2=0.00765495768357585, score=0.861876 -   1.5s
[CV] c1=0.05275382353533498, c2=0.05447748280630224 ..................
[CV]  c1=0.05275382353533498, c2=0.05447748280630224, score=0.857037 -   1.6s
[CV] c1=0.6859915230875829, c2=0.00033244895461042277 ................
[CV]  c1=0.6859915230875829, c2=0.00033244895461042277, score=0.710540 -   1.6s
[CV] c1=0.3499210771405884, c2=0.16390782693132555 ...................
[CV]  c1=0.3499210771405884, c2=0.16390782693132555, score=0.808595 -   1.5s
[CV] c1=0.5109549113896857, c2=0.02335641013164197 ...................
[CV]  c1=0.5109549113896857, c2=0.02335641013164197, score=0.899870 -   1.4s
[CV] c1=1.091718294696756, c2=0.003724639287813176 ...................
[CV]  c1=1.091718294696756, c2=0.003724639287813176, score=0.863055 -   1.6s
[CV] c1=0.3941762010865895, c2=0.12085744605712634 ...................
[CV]  c1=0.3941762010865895, c2=0.12085744605712634, score=0.697084 -   1.5s
[CV] c1=0.8286595389522671, c2=0.10426164668578633 ...................
[CV]  c1=0.8286595389522671, c2=0.10426164668578633, score=0.789087 -   1.6s
[CV] c1=0.5538245585407736, c2=0.08155262915965236 ...................
[CV]  c1=0.5538245585407736, c2=0.08155262915965236, score=0.801316 -   1.6s
[CV] c1=0.47969917335007534, c2=0.019563648919512892 .................
[CV]  c1=0.47969917335007534, c2=0.019563648919512892, score=0.840866 -   1.5s
[CV] c1=0.21408009705706021, c2=0.03805721417360694 ..................
[CV]  c1=0.21408009705706021, c2=0.03805721417360694, score=0.908131 -   1.5s
[CV] c1=0.18410088255751675, c2=0.0201875355495236 ...................
[CV]  c1=0.18410088255751675, c2=0.0201875355495236, score=0.856161 -   1.5s
[CV] c1=1.3402754604540517, c2=0.0352185906538046 ....................
[CV]  c1=1.3402754604540517, c2=0.0352185906538046, score=0.638155 -   1.6s
[CV] c1=1.0327099064783274, c2=0.05341569690901378 ...................
[CV]  c1=1.0327099064783274, c2=0.05341569690901378, score=0.725538 -   1.3s
[CV] c1=0.9938724238132204, c2=0.028626395615959456 ..................
[CV]  c1=0.9938724238132204, c2=0.028626395615959456, score=0.880599 -   1.5s
[CV] c1=0.10526779866529709, c2=0.05176166415817373 ..................
[CV]  c1=0.10526779866529709, c2=0.05176166415817373, score=0.799708 -   1.3s
[CV] c1=0.48453492674632, c2=0.04231488867732899 .....................
[CV]  c1=0.48453492674632, c2=0.04231488867732899, score=0.833403 -   1.5s
[CV] c1=0.933403764050804, c2=0.04439289870191057 ....................
[CV]  c1=0.933403764050804, c2=0.04439289870191057, score=0.677438 -   1.6s
[CV] c1=1.8438873356069236, c2=0.02219821925603281 ...................
[CV]  c1=1.8438873356069236, c2=0.02219821925603281, score=0.625480 -   1.7s
[CV] c1=0.12479052036798916, c2=0.07272692658736098 ..................
[CV]  c1=0.12479052036798916, c2=0.07272692658736098, score=0.889951 -   1.6s
[CV] c1=0.5146580495008997, c2=0.004644405370589561 ..................
[CV]  c1=0.5146580495008997, c2=0.004644405370589561, score=0.841436 -   1.7s
[CV] c1=0.3135219409457214, c2=0.09242331180923632 ...................
[CV]  c1=0.3135219409457214, c2=0.09242331180923632, score=0.749641 -   2.0s
[CV] c1=0.0564305540840522, c2=0.0034465956033383795 .................
[CV]  c1=0.0564305540840522, c2=0.0034465956033383795, score=0.806378 -   1.3s
[CV] c1=0.03566611936135428, c2=0.009499702640697872 .................
[CV]  c1=0.03566611936135428, c2=0.009499702640697872, score=0.851904 -   1.5s
[CV] c1=0.17393800725550876, c2=0.010926973341189892 .................
[CV]  c1=0.17393800725550876, c2=0.010926973341189892, score=0.860719 -   1.5s
[CV] c1=1.8684882216157765, c2=0.0035617404682536293 .................
[CV]  c1=1.8684882216157765, c2=0.0035617404682536293, score=0.722861 -   1.4s
[CV] c1=0.6859915230875829, c2=0.00033244895461042277 ................
[CV]  c1=0.6859915230875829, c2=0.00033244895461042277, score=0.828668 -   1.6s
[CV] c1=0.10526779866529709, c2=0.05176166415817373 ..................
[CV]  c1=0.10526779866529709, c2=0.05176166415817373, score=0.875863 -   1.5s
[CV] c1=0.24889918852558449, c2=0.019279108189258213 .................
[CV]  c1=0.24889918852558449, c2=0.019279108189258213, score=0.859573 -   1.5s
[CV] c1=0.12382007129628783, c2=0.05932820188251432 ..................
[CV]  c1=0.12382007129628783, c2=0.05932820188251432, score=0.864230 -   1.5s
[CV] c1=0.9418093654817888, c2=0.0705509194515223 ....................
[CV]  c1=0.9418093654817888, c2=0.0705509194515223, score=0.794131 -   1.5s
[CV] c1=0.12479052036798916, c2=0.07272692658736098 ..................
[CV]  c1=0.12479052036798916, c2=0.07272692658736098, score=0.863073 -   1.5s
[CV] c1=0.5146580495008997, c2=0.004644405370589561 ..................
[CV]  c1=0.5146580495008997, c2=0.004644405370589561, score=0.747202 -   1.9s
[CV] c1=0.9775751843705213, c2=0.06857026266481418 ...................
[CV]  c1=0.9775751843705213, c2=0.06857026266481418, score=0.788725 -   1.6s
[CV] c1=0.8145637004837758, c2=0.07566595563211083 ...................
[CV]  c1=0.8145637004837758, c2=0.07566595563211083, score=0.784362 -   1.5s
[CV] c1=0.03566611936135428, c2=0.009499702640697872 .................
[CV]  c1=0.03566611936135428, c2=0.009499702640697872, score=0.799708 -   1.5s
[CV] c1=0.17393800725550876, c2=0.010926973341189892 .................
[CV]  c1=0.17393800725550876, c2=0.010926973341189892, score=0.873746 -   1.6s
[CV] c1=0.37895085742782786, c2=0.012073355073022644 .................
[CV]  c1=0.37895085742782786, c2=0.012073355073022644, score=0.914232 -   1.5s
[CV] c1=0.9938724238132204, c2=0.028626395615959456 ..................
[CV]  c1=0.9938724238132204, c2=0.028626395615959456, score=0.670853 -   1.4s
[CV] c1=0.3315998658905508, c2=0.1047720979684843 ....................
[CV]  c1=0.3315998658905508, c2=0.1047720979684843, score=0.884351 -   1.6s
[CV] c1=0.33133344754934924, c2=0.03172193716962281 ..................
[CV]  c1=0.33133344754934924, c2=0.03172193716962281, score=0.867699 -   1.6s
[CV] c1=1.091718294696756, c2=0.003724639287813176 ...................
[CV]  c1=1.091718294696756, c2=0.003724639287813176, score=0.727551 -   1.6s
[CV] c1=0.28965637935674193, c2=0.05046769613185388 ..................
[CV]  c1=0.28965637935674193, c2=0.05046769613185388, score=0.803263 -   1.3s
[CV] c1=0.8286595389522671, c2=0.10426164668578633 ...................
[CV]  c1=0.8286595389522671, c2=0.10426164668578633, score=0.866814 -   1.5s
[CV] c1=0.5538245585407736, c2=0.08155262915965236 ...................
[CV]  c1=0.5538245585407736, c2=0.08155262915965236, score=0.883523 -   1.6s
[CV] c1=0.9775751843705213, c2=0.06857026266481418 ...................
[CV]  c1=0.9775751843705213, c2=0.06857026266481418, score=0.876206 -   1.6s
[CV] c1=0.36008497511819726, c2=0.0049277185031961985 ................
[CV]  c1=0.36008497511819726, c2=0.0049277185031961985, score=0.833883 -   1.7s
[CV] c1=0.18410088255751675, c2=0.0201875355495236 ...................
[CV]  c1=0.18410088255751675, c2=0.0201875355495236, score=0.880562 -   1.6s
[CV] c1=1.3402754604540517, c2=0.0352185906538046 ....................
[CV]  c1=1.3402754604540517, c2=0.0352185906538046, score=0.680104 -   1.7s
[CV] c1=1.0327099064783274, c2=0.05341569690901378 ...................
[CV]  c1=1.0327099064783274, c2=0.05341569690901378, score=0.777176 -   1.5s
[CV] c1=0.05966058457149725, c2=0.05790297039077297 ..................
[CV]  c1=0.05966058457149725, c2=0.05790297039077297, score=0.799708 -   1.5s
[CV] c1=0.3499210771405884, c2=0.16390782693132555 ...................
[CV]  c1=0.3499210771405884, c2=0.16390782693132555, score=0.711391 -   1.5s
[CV] c1=0.21663422296601376, c2=0.03878464949225092 ..................
[CV]  c1=0.21663422296601376, c2=0.03878464949225092, score=0.787617 -   1.5s
[CV] c1=0.345370905298738, c2=0.020689004526098054 ...................
[CV]  c1=0.345370905298738, c2=0.020689004526098054, score=0.905393 -   1.6s
[CV] c1=0.28965637935674193, c2=0.05046769613185388 ..................
[CV]  c1=0.28965637935674193, c2=0.05046769613185388, score=0.859573 -   1.6s
[CV] c1=0.23339523762714956, c2=0.07024090800020376 ..................
[CV]  c1=0.23339523762714956, c2=0.07024090800020376, score=0.841377 -   1.5s
[CV] c1=0.23756433513447545, c2=0.10571731941217435 ..................
[CV]  c1=0.23756433513447545, c2=0.10571731941217435, score=0.826952 -   1.2s
[CV] c1=0.9775751843705213, c2=0.06857026266481418 ...................
[CV]  c1=0.9775751843705213, c2=0.06857026266481418, score=0.677515 -   1.7s
[CV] c1=0.8145637004837758, c2=0.07566595563211083 ...................
[CV]  c1=0.8145637004837758, c2=0.07566595563211083, score=0.831012 -   1.6s
[CV] c1=0.18410088255751675, c2=0.0201875355495236 ...................
[CV]  c1=0.18410088255751675, c2=0.0201875355495236, score=0.788968 -   1.6s
[CV] c1=1.2984206990640026, c2=0.0003948181529397419 .................
[CV]  c1=1.2984206990640026, c2=0.0003948181529397419, score=0.874335 -   1.5s
[CV] c1=1.0327099064783274, c2=0.05341569690901378 ...................
[CV]  c1=1.0327099064783274, c2=0.05341569690901378, score=0.876687 -   1.5s
[CV] c1=0.05966058457149725, c2=0.05790297039077297 ..................
[CV]  c1=0.05966058457149725, c2=0.05790297039077297, score=0.835744 -   1.2s
[CV] c1=0.34520210743600516, c2=0.03518078471827048 ..................
[CV]  c1=0.34520210743600516, c2=0.03518078471827048, score=0.859573 -   1.7s
[CV] c1=0.29583830508201236, c2=0.01798643548950671 ..................
[CV]  c1=0.29583830508201236, c2=0.01798643548950671, score=0.900877 -   1.5s
[CV] c1=0.18955402917458045, c2=0.08636412091972144 ..................
[CV]  c1=0.18955402917458045, c2=0.08636412091972144, score=0.885194 -   1.5s
[CV] c1=0.24856907124337033, c2=0.01714745797315375 ..................
[CV]  c1=0.24856907124337033, c2=0.01714745797315375, score=0.840791 -   1.5s
[CV] c1=0.06693083602818718, c2=0.05033525005800468 ..................
[CV]  c1=0.06693083602818718, c2=0.05033525005800468, score=0.863974 -   1.6s
[CV] c1=0.5601587388496887, c2=0.18473556942910357 ...................
[CV]  c1=0.5601587388496887, c2=0.18473556942910357, score=0.856663 -   1.5s
[CV] c1=0.5479857315428167, c2=0.023902595251252146 ..................
[CV]  c1=0.5479857315428167, c2=0.023902595251252146, score=0.736314 -   1.2s
[CV] c1=0.1461541183199563, c2=0.05600986562284919 ...................
[CV]  c1=0.1461541183199563, c2=0.05600986562284919, score=0.885341 -   1.5s
[CV] c1=0.09391933000869136, c2=0.02282051715163126 ..................
[CV]  c1=0.09391933000869136, c2=0.02282051715163126, score=0.800635 -   1.2s
[CV] c1=1.3402754604540517, c2=0.0352185906538046 ....................
[CV]  c1=1.3402754604540517, c2=0.0352185906538046, score=0.787711 -   1.4s
[CV] c1=0.37895085742782786, c2=0.012073355073022644 .................
[CV]  c1=0.37895085742782786, c2=0.012073355073022644, score=0.737956 -   1.6s
[CV] c1=0.9938724238132204, c2=0.028626395615959456 ..................
[CV]  c1=0.9938724238132204, c2=0.028626395615959456, score=0.727551 -   1.6s
[CV] c1=0.3499210771405884, c2=0.16390782693132555 ...................
[CV]  c1=0.3499210771405884, c2=0.16390782693132555, score=0.878156 -   1.4s
[CV] c1=0.33133344754934924, c2=0.03172193716962281 ..................
[CV]  c1=0.33133344754934924, c2=0.03172193716962281, score=0.768554 -   1.6s
[CV] c1=0.31223272822526443, c2=0.03335184211391016 ..................
[CV]  c1=0.31223272822526443, c2=0.03335184211391016, score=0.867098 -   1.6s
[CV] c1=0.3941762010865895, c2=0.12085744605712634 ...................
[CV]  c1=0.3941762010865895, c2=0.12085744605712634, score=0.833403 -   1.6s
[CV] c1=0.23339523762714956, c2=0.07024090800020376 ..................
[CV]  c1=0.23339523762714956, c2=0.07024090800020376, score=0.804088 -   1.3s
[CV] c1=0.6491879071335226, c2=0.20906933145423615 ...................
[CV]  c1=0.6491879071335226, c2=0.20906933145423615, score=0.784521 -   1.6s
[CV] c1=0.3135219409457214, c2=0.09242331180923632 ...................
[CV]  c1=0.3135219409457214, c2=0.09242331180923632, score=0.816937 -   1.8s
[CV] c1=0.0564305540840522, c2=0.0034465956033383795 .................
[CV]  c1=0.0564305540840522, c2=0.0034465956033383795, score=0.882329 -   1.6s
[CV] c1=0.4770580786112717, c2=0.10956970400748285 ...................
[CV]  c1=0.4770580786112717, c2=0.10956970400748285, score=0.698242 -   1.6s
[CV] c1=4.109273215106011, c2=0.0078119457141073104 ..................
[CV]  c1=4.109273215106011, c2=0.0078119457141073104, score=0.534209 -   1.2s
[CV] c1=0.37895085742782786, c2=0.012073355073022644 .................
[CV]  c1=0.37895085742782786, c2=0.012073355073022644, score=0.853673 -   1.6s
[CV] c1=0.05966058457149725, c2=0.05790297039077297 ..................
[CV]  c1=0.05966058457149725, c2=0.05790297039077297, score=0.861157 -   1.5s
[CV] c1=0.17013585464816594, c2=0.07327619961708501 ..................
[CV]  c1=0.17013585464816594, c2=0.07327619961708501, score=0.857318 -   1.5s
[CV] c1=0.33133344754934924, c2=0.03172193716962281 ..................
[CV]  c1=0.33133344754934924, c2=0.03172193716962281, score=0.797896 -   1.2s
[CV] c1=0.933403764050804, c2=0.04439289870191057 ....................
[CV]  c1=0.933403764050804, c2=0.04439289870191057, score=0.769275 -   1.6s
[CV] c1=0.9418093654817888, c2=0.0705509194515223 ....................
[CV]  c1=0.9418093654817888, c2=0.0705509194515223, score=0.874143 -   1.5s
[CV] c1=0.18227274350762185, c2=0.023280094955960853 .................
[CV]  c1=0.18227274350762185, c2=0.023280094955960853, score=0.873321 -   1.6s
[CV] c1=0.5146580495008997, c2=0.004644405370589561 ..................
[CV]  c1=0.5146580495008997, c2=0.004644405370589561, score=0.908403 -   1.5s
[CV] c1=0.5864101363282318, c2=0.10719609312982284 ...................
[CV]  c1=0.5864101363282318, c2=0.10719609312982284, score=0.753385 -   1.2s
[CV] c1=0.5479857315428167, c2=0.023902595251252146 ..................
[CV]  c1=0.5479857315428167, c2=0.023902595251252146, score=0.836485 -   1.5s
[CV] c1=0.004619256178922591, c2=0.011346727482700849 ................
[CV]  c1=0.004619256178922591, c2=0.011346727482700849, score=0.852505 -   1.4s
[CV] c1=0.4825066438142363, c2=0.07353238364511089 ...................
[CV]  c1=0.4825066438142363, c2=0.07353238364511089, score=0.799903 -   1.2s
[CV] c1=1.2984206990640026, c2=0.0003948181529397419 .................
[CV]  c1=1.2984206990640026, c2=0.0003948181529397419, score=0.707427 -   1.5s
[CV] c1=1.0327099064783274, c2=0.05341569690901378 ...................
[CV]  c1=1.0327099064783274, c2=0.05341569690901378, score=0.647512 -   1.7s
[CV] c1=0.7487444955139456, c2=0.04183693501633786 ...................
[CV]  c1=0.7487444955139456, c2=0.04183693501633786, score=0.878184 -   1.4s
[CV] c1=0.34520210743600516, c2=0.03518078471827048 ..................
[CV]  c1=0.34520210743600516, c2=0.03518078471827048, score=0.916600 -   1.6s
[CV] c1=0.3642542974056936, c2=0.25739266202119965 ...................
[CV]  c1=0.3642542974056936, c2=0.25739266202119965, score=0.866169 -   1.5s
[CV] c1=0.5273015450976181, c2=0.007072915916148783 ..................
[CV]  c1=0.5273015450976181, c2=0.007072915916148783, score=0.856255 -   1.6s
[CV] c1=0.24856907124337033, c2=0.01714745797315375 ..................
[CV]  c1=0.24856907124337033, c2=0.01714745797315375, score=0.780987 -   1.3s
[CV] c1=0.15589746668357796, c2=0.01688484300668192 ..................
[CV]  c1=0.15589746668357796, c2=0.01688484300668192, score=0.887452 -   1.6s
[CV] c1=0.23756433513447545, c2=0.10571731941217435 ..................
[CV]  c1=0.23756433513447545, c2=0.10571731941217435, score=0.790738 -   1.6s
[CV] c1=0.12438962942461897, c2=0.007855512708463713 .................
[CV]  c1=0.12438962942461897, c2=0.007855512708463713, score=0.802946 -   1.3s
[CV] c1=0.21408009705706021, c2=0.03805721417360694 ..................
[CV]  c1=0.21408009705706021, c2=0.03805721417360694, score=0.857318 -   1.5s
[CV] c1=0.18410088255751675, c2=0.0201875355495236 ...................
[CV]  c1=0.18410088255751675, c2=0.0201875355495236, score=0.873321 -   1.6s
[CV] c1=1.2984206990640026, c2=0.0003948181529397419 .................
[CV]  c1=1.2984206990640026, c2=0.0003948181529397419, score=0.684793 -   1.6s
[CV] c1=0.04217273311428912, c2=0.01964353271844492 ..................
[CV]  c1=0.04217273311428912, c2=0.01964353271844492, score=0.837512 -   1.2s
[CV] c1=0.05966058457149725, c2=0.05790297039077297 ..................
[CV]  c1=0.05966058457149725, c2=0.05790297039077297, score=0.882679 -   1.6s
[CV] c1=1.160111299913775, c2=1.2264479048164272e-05 .................
[CV]  c1=1.160111299913775, c2=1.2264479048164272e-05, score=0.767032 -   1.5s
[CV] c1=0.44884727557679893, c2=0.0951546492440048 ...................
[CV]  c1=0.44884727557679893, c2=0.0951546492440048, score=0.870867 -   1.6s
[CV] c1=0.345370905298738, c2=0.020689004526098054 ...................
[CV]  c1=0.345370905298738, c2=0.020689004526098054, score=0.903621 -   1.7s
[CV] c1=0.10228019424453735, c2=0.13802412050084736 ..................
[CV]  c1=0.10228019424453735, c2=0.13802412050084736, score=0.826779 -   1.5s
[CV] c1=0.06693083602818718, c2=0.05033525005800468 ..................
[CV]  c1=0.06693083602818718, c2=0.05033525005800468, score=0.890545 -   1.5s
[CV] c1=0.23756433513447545, c2=0.10571731941217435 ..................
[CV]  c1=0.23756433513447545, c2=0.10571731941217435, score=0.833039 -   1.5s
[CV] c1=0.12438962942461897, c2=0.007855512708463713 .................
[CV]  c1=0.12438962942461897, c2=0.007855512708463713, score=0.877016 -   1.5s
[CV] c1=0.1461541183199563, c2=0.05600986562284919 ...................
[CV]  c1=0.1461541183199563, c2=0.05600986562284919, score=0.788968 -   1.5s
[CV] c1=0.09391933000869136, c2=0.02282051715163126 ..................
[CV]  c1=0.09391933000869136, c2=0.02282051715163126, score=0.799708 -   1.6s
[CV] c1=0.0027878779783246195, c2=0.17343822451283591 ................
[CV]  c1=0.0027878779783246195, c2=0.17343822451283591, score=0.882804 -   1.5s
[CV] c1=0.35464015708793156, c2=0.04377167517007998 ..................
[CV]  c1=0.35464015708793156, c2=0.04377167517007998, score=0.908403 -   1.6s
[CV] c1=3.7966328677419514, c2=0.025405069773435818 ..................
[CV]  c1=3.7966328677419514, c2=0.025405069773435818, score=0.519044 -   1.2s
[CV] c1=1.160111299913775, c2=1.2264479048164272e-05 .................
[CV]  c1=1.160111299913775, c2=1.2264479048164272e-05, score=0.645099 -   1.6s
[CV] c1=0.44884727557679893, c2=0.0951546492440048 ...................
[CV]  c1=0.44884727557679893, c2=0.0951546492440048, score=0.829936 -   1.6s
[CV] c1=0.5273015450976181, c2=0.007072915916148783 ..................
[CV]  c1=0.5273015450976181, c2=0.007072915916148783, score=0.856668 -   1.4s
[CV] c1=0.10228019424453735, c2=0.13802412050084736 ..................
[CV]  c1=0.10228019424453735, c2=0.13802412050084736, score=0.888682 -   1.5s
[CV] c1=0.23339523762714956, c2=0.07024090800020376 ..................
[CV]  c1=0.23339523762714956, c2=0.07024090800020376, score=0.861675 -   1.5s
[CV] c1=0.23756433513447545, c2=0.10571731941217435 ..................
[CV]  c1=0.23756433513447545, c2=0.10571731941217435, score=0.895428 -   1.5s
[CV] c1=0.11860589950802516, c2=0.0005088943848650046 ................
[CV]  c1=0.11860589950802516, c2=0.0005088943848650046, score=0.905652 -   1.6s
[CV] c1=0.21408009705706021, c2=0.03805721417360694 ..................
[CV]  c1=0.21408009705706021, c2=0.03805721417360694, score=0.787617 -   1.6s
[CV] c1=0.4770580786112717, c2=0.10956970400748285 ...................
[CV]  c1=0.4770580786112717, c2=0.10956970400748285, score=0.809429 -   1.5s
[CV] c1=1.2984206990640026, c2=0.0003948181529397419 .................
[CV]  c1=1.2984206990640026, c2=0.0003948181529397419, score=0.761687 -   1.3s
[CV] c1=0.37895085742782786, c2=0.012073355073022644 .................
[CV]  c1=0.37895085742782786, c2=0.012073355073022644, score=0.861876 -   1.5s
[CV] c1=0.9938724238132204, c2=0.028626395615959456 ..................
[CV]  c1=0.9938724238132204, c2=0.028626395615959456, score=0.807626 -   1.5s
[CV] c1=0.35017827071383684, c2=0.015532124372292944 .................
[CV]  c1=0.35017827071383684, c2=0.015532124372292944, score=0.912034 -   1.6s
[CV] c1=0.5109549113896857, c2=0.02335641013164197 ...................
[CV]  c1=0.5109549113896857, c2=0.02335641013164197, score=0.825355 -   1.5s
[CV] c1=0.345370905298738, c2=0.020689004526098054 ...................
[CV]  c1=0.345370905298738, c2=0.020689004526098054, score=0.762120 -   1.6s
[CV] c1=0.28965637935674193, c2=0.05046769613185388 ..................
[CV]  c1=0.28965637935674193, c2=0.05046769613185388, score=0.859979 -   1.7s
[CV] c1=0.15589746668357796, c2=0.01688484300668192 ..................
[CV]  c1=0.15589746668357796, c2=0.01688484300668192, score=0.858415 -   1.5s
[CV] c1=0.23756433513447545, c2=0.10571731941217435 ..................
[CV]  c1=0.23756433513447545, c2=0.10571731941217435, score=0.856995 -   1.5s
[CV] c1=0.11860589950802516, c2=0.0005088943848650046 ................
[CV]  c1=0.11860589950802516, c2=0.0005088943848650046, score=0.775088 -   1.5s
[CV] c1=0.0564305540840522, c2=0.0034465956033383795 .................
[CV]  c1=0.0564305540840522, c2=0.0034465956033383795, score=0.840803 -   1.5s
[CV] c1=0.4770580786112717, c2=0.10956970400748285 ...................
[CV]  c1=0.4770580786112717, c2=0.10956970400748285, score=0.793233 -   1.6s
[CV] c1=4.109273215106011, c2=0.0078119457141073104 ..................
[CV]  c1=4.109273215106011, c2=0.0078119457141073104, score=0.605892 -   1.6s
[CV] c1=0.04217273311428912, c2=0.01964353271844492 ..................
[CV]  c1=0.04217273311428912, c2=0.01964353271844492, score=0.799708 -   1.6s
[CV] c1=0.7487444955139456, c2=0.04183693501633786 ...................
[CV]  c1=0.7487444955139456, c2=0.04183693501633786, score=0.809794 -   1.3s
[CV] c1=0.34520210743600516, c2=0.03518078471827048 ..................
[CV]  c1=0.34520210743600516, c2=0.03518078471827048, score=0.773573 -   1.6s
[CV] c1=0.3642542974056936, c2=0.25739266202119965 ...................
[CV]  c1=0.3642542974056936, c2=0.25739266202119965, score=0.707204 -   1.6s
[CV] c1=0.43317489371498913, c2=0.0015076639103849703 ................
[CV]  c1=0.43317489371498913, c2=0.0015076639103849703, score=0.850097 -   1.5s
[CV] c1=0.24856907124337033, c2=0.01714745797315375 ..................
[CV]  c1=0.24856907124337033, c2=0.01714745797315375, score=0.776445 -   1.6s
[CV] c1=0.06693083602818718, c2=0.05033525005800468 ..................
[CV]  c1=0.06693083602818718, c2=0.05033525005800468, score=0.856755 -   1.5s
[CV] c1=1.39422323224944, c2=0.010648963337882634 ....................
[CV]  c1=1.39422323224944, c2=0.010648963337882634, score=0.784559 -   1.5s
[CV] c1=0.12438962942461897, c2=0.007855512708463713 .................
[CV]  c1=0.12438962942461897, c2=0.007855512708463713, score=0.860719 -   1.5s
[CV] c1=0.1461541183199563, c2=0.05600986562284919 ...................
[CV]  c1=0.1461541183199563, c2=0.05600986562284919, score=0.861171 -   1.5s
[CV] c1=0.09391933000869136, c2=0.02282051715163126 ..................
[CV]  c1=0.09391933000869136, c2=0.02282051715163126, score=0.853124 -   1.5s
[CV] c1=4.109273215106011, c2=0.0078119457141073104 ..................
[CV]  c1=4.109273215106011, c2=0.0078119457141073104, score=0.468504 -   1.7s
[CV] c1=0.35464015708793156, c2=0.04377167517007998 ..................
[CV]  c1=0.35464015708793156, c2=0.04377167517007998, score=0.806986 -   1.3s
[CV] c1=0.05966058457149725, c2=0.05790297039077297 ..................
[CV]  c1=0.05966058457149725, c2=0.05790297039077297, score=0.854438 -   1.6s
[CV] c1=0.2828535722174934, c2=0.01810910845295029 ...................
[CV]  c1=0.2828535722174934, c2=0.01810910845295029, score=0.788709 -   1.3s
[CV] c1=0.48453492674632, c2=0.04231488867732899 .....................
[CV]  c1=0.48453492674632, c2=0.04231488867732899, score=0.901937 -   1.6s
[CV] c1=0.933403764050804, c2=0.04439289870191057 ....................
[CV]  c1=0.933403764050804, c2=0.04439289870191057, score=0.716506 -   1.4s
[CV] c1=0.18955402917458045, c2=0.08636412091972144 ..................
[CV]  c1=0.18955402917458045, c2=0.08636412091972144, score=0.856995 -   1.7s
[CV] c1=0.16513973560730638, c2=0.019615704640653153 .................
[CV]  c1=0.16513973560730638, c2=0.019615704640653153, score=0.872870 -   1.6s
[CV] c1=0.3773321987706548, c2=0.026220211689977926 ..................
[CV]  c1=0.3773321987706548, c2=0.026220211689977926, score=0.751070 -   1.7s
[CV] c1=0.5864101363282318, c2=0.10719609312982284 ...................
[CV]  c1=0.5864101363282318, c2=0.10719609312982284, score=0.709079 -   2.0s
[CV] c1=0.8145637004837758, c2=0.07566595563211083 ...................
[CV]  c1=0.8145637004837758, c2=0.07566595563211083, score=0.730900 -   1.3s
[CV] c1=0.4607606239336078, c2=0.006306276957035579 ..................
[CV]  c1=0.4607606239336078, c2=0.006306276957035579, score=0.752896 -   1.7s
[CV] c1=0.17393800725550876, c2=0.010926973341189892 .................
[CV]  c1=0.17393800725550876, c2=0.010926973341189892, score=0.788709 -   1.6s
[CV] c1=1.8684882216157765, c2=0.0035617404682536293 .................
[CV]  c1=1.8684882216157765, c2=0.0035617404682536293, score=0.625480 -   1.6s
[CV] c1=0.9938724238132204, c2=0.028626395615959456 ..................
[CV]  c1=0.9938724238132204, c2=0.028626395615959456, score=0.694157 -   1.6s
[CV] c1=0.35017827071383684, c2=0.015532124372292944 .................
[CV]  c1=0.35017827071383684, c2=0.015532124372292944, score=0.774388 -   1.3s
[CV] c1=0.21663422296601376, c2=0.03878464949225092 ..................
[CV]  c1=0.21663422296601376, c2=0.03878464949225092, score=0.803751 -   1.3s
[CV] c1=0.31223272822526443, c2=0.03335184211391016 ..................
[CV]  c1=0.31223272822526443, c2=0.03335184211391016, score=0.910171 -   1.6s
[CV] c1=0.11056333963434634, c2=0.019476159050850757 .................
[CV]  c1=0.11056333963434634, c2=0.019476159050850757, score=0.859573 -   1.5s
[CV] c1=0.019961198292223682, c2=0.06145112972655941 .................
[CV]  c1=0.019961198292223682, c2=0.06145112972655941, score=0.878068 -   1.5s
[CV] c1=0.6491879071335226, c2=0.20906933145423615 ...................
[CV]  c1=0.6491879071335226, c2=0.20906933145423615, score=0.712922 -   1.3s
[CV] c1=0.5864101363282318, c2=0.10719609312982284 ...................
[CV]  c1=0.5864101363282318, c2=0.10719609312982284, score=0.879209 -   1.5s
[CV] c1=0.0038572341770633472, c2=0.04403566067632515 ................
[CV]  c1=0.0038572341770633472, c2=0.04403566067632515, score=0.824969 -   1.6s
[CV] c1=0.39281875610104267, c2=0.03622909070084669 ..................
[CV]  c1=0.39281875610104267, c2=0.03622909070084669, score=0.803583 -   1.2s
[CV] c1=1.5980169814733622, c2=0.010299441778147927 ..................
[CV]  c1=1.5980169814733622, c2=0.010299441778147927, score=0.855156 -   1.6s
[CV] c1=0.34280014202946474, c2=0.02701576135616265 ..................
[CV]  c1=0.34280014202946474, c2=0.02701576135616265, score=0.807076 -   1.3s
[CV] c1=0.04217273311428912, c2=0.01964353271844492 ..................
[CV]  c1=0.04217273311428912, c2=0.01964353271844492, score=0.829184 -   1.6s
[CV] c1=3.7966328677419514, c2=0.025405069773435818 ..................
[CV]  c1=3.7966328677419514, c2=0.025405069773435818, score=0.639059 -   1.3s
[CV] c1=0.2828535722174934, c2=0.01810910845295029 ...................
[CV]  c1=0.2828535722174934, c2=0.01810910845295029, score=0.861876 -   1.2s
[CV] c1=0.2088043497589667, c2=0.0530114239340468 ....................
[CV]  c1=0.2088043497589667, c2=0.0530114239340468, score=0.859550 -   1.5s
[CV] c1=0.29583830508201236, c2=0.01798643548950671 ..................
[CV]  c1=0.29583830508201236, c2=0.01798643548950671, score=0.832323 -   1.7s
[CV] c1=1.8438873356069236, c2=0.02219821925603281 ...................
[CV]  c1=1.8438873356069236, c2=0.02219821925603281, score=0.808766 -   1.6s
[CV] c1=0.18227274350762185, c2=0.023280094955960853 .................
[CV]  c1=0.18227274350762185, c2=0.023280094955960853, score=0.800865 -   1.3s
[CV] c1=1.2004114073834975, c2=0.07759628861364987 ...................
[CV]  c1=1.2004114073834975, c2=0.07759628861364987, score=0.619521 -   1.6s
[CV] c1=0.5601587388496887, c2=0.18473556942910357 ...................
[CV]  c1=0.5601587388496887, c2=0.18473556942910357, score=0.795271 -   1.6s
[CV] c1=0.0038572341770633472, c2=0.04403566067632515 ................
[CV]  c1=0.0038572341770633472, c2=0.04403566067632515, score=0.797811 -   1.2s
[CV] c1=0.004619256178922591, c2=0.011346727482700849 ................
[CV]  c1=0.004619256178922591, c2=0.011346727482700849, score=0.869464 -   1.6s
[CV] c1=0.4825066438142363, c2=0.07353238364511089 ...................
[CV]  c1=0.4825066438142363, c2=0.07353238364511089, score=0.721839 -   1.6s
[CV] c1=0.34280014202946474, c2=0.02701576135616265 ..................
[CV]  c1=0.34280014202946474, c2=0.02701576135616265, score=0.892680 -   1.6s
[CV] c1=0.18197996328294597, c2=0.015469518125976174 .................
[CV]  c1=0.18197996328294597, c2=0.015469518125976174, score=0.898148 -   1.6s
[CV] c1=0.9278693790972031, c2=0.026427588277525078 ..................
[CV]  c1=0.9278693790972031, c2=0.026427588277525078, score=0.712200 -   1.1s
[CV] c1=1.160111299913775, c2=1.2264479048164272e-05 .................
[CV]  c1=1.160111299913775, c2=1.2264479048164272e-05, score=0.701189 -   1.7s
[CV] c1=0.3642542974056936, c2=0.25739266202119965 ...................
[CV]  c1=0.3642542974056936, c2=0.25739266202119965, score=0.747268 -   1.3s
[CV] c1=0.345370905298738, c2=0.020689004526098054 ...................
[CV]  c1=0.345370905298738, c2=0.020689004526098054, score=0.855250 -   1.5s
[CV] c1=0.28965637935674193, c2=0.05046769613185388 ..................
[CV]  c1=0.28965637935674193, c2=0.05046769613185388, score=0.790738 -   1.8s
[CV] c1=0.06693083602818718, c2=0.05033525005800468 ..................
[CV]  c1=0.06693083602818718, c2=0.05033525005800468, score=0.830069 -   1.2s
[CV] c1=0.17198204063587502, c2=0.03279007282690281 ..................
[CV]  c1=0.17198204063587502, c2=0.03279007282690281, score=0.840803 -   1.6s
[CV] c1=0.11860589950802516, c2=0.0005088943848650046 ................
[CV]  c1=0.11860589950802516, c2=0.0005088943848650046, score=0.859985 -   1.5s
[CV] c1=0.0564305540840522, c2=0.0034465956033383795 .................
[CV]  c1=0.0564305540840522, c2=0.0034465956033383795, score=0.858415 -   1.5s
[CV] c1=0.4770580786112717, c2=0.10956970400748285 ...................
[CV]  c1=0.4770580786112717, c2=0.10956970400748285, score=0.884207 -   1.6s
[CV] c1=1.2984206990640026, c2=0.0003948181529397419 .................
[CV]  c1=1.2984206990640026, c2=0.0003948181529397419, score=0.625312 -   1.6s
[CV] c1=0.04217273311428912, c2=0.01964353271844492 ..................
[CV]  c1=0.04217273311428912, c2=0.01964353271844492, score=0.899700 -   1.5s
[CV] c1=0.7487444955139456, c2=0.04183693501633786 ...................
[CV]  c1=0.7487444955139456, c2=0.04183693501633786, score=0.710790 -   1.3s
[CV] c1=0.17013585464816594, c2=0.07327619961708501 ..................
[CV]  c1=0.17013585464816594, c2=0.07327619961708501, score=0.843976 -   1.4s
[CV] c1=0.24889918852558449, c2=0.019279108189258213 .................
[CV]  c1=0.24889918852558449, c2=0.019279108189258213, score=0.876725 -   1.7s
[CV] c1=0.31223272822526443, c2=0.03335184211391016 ..................
[CV]  c1=0.31223272822526443, c2=0.03335184211391016, score=0.788112 -   1.6s
[CV] c1=0.3941762010865895, c2=0.12085744605712634 ...................
[CV]  c1=0.3941762010865895, c2=0.12085744605712634, score=0.870867 -   1.6s
[CV] c1=0.8286595389522671, c2=0.10426164668578633 ...................
[CV]  c1=0.8286595389522671, c2=0.10426164668578633, score=0.710186 -   1.7s
[CV] c1=0.17198204063587502, c2=0.03279007282690281 ..................
[CV]  c1=0.17198204063587502, c2=0.03279007282690281, score=0.856161 -   1.5s
[CV] c1=0.47969917335007534, c2=0.019563648919512892 .................
[CV]  c1=0.47969917335007534, c2=0.019563648919512892, score=0.737001 -   1.6s
[CV] c1=0.21408009705706021, c2=0.03805721417360694 ..................
[CV]  c1=0.21408009705706021, c2=0.03805721417360694, score=0.872870 -   1.6s
[CV] c1=0.09391933000869136, c2=0.02282051715163126 ..................
[CV]  c1=0.09391933000869136, c2=0.02282051715163126, score=0.889885 -   1.6s
[CV] c1=4.109273215106011, c2=0.0078119457141073104 ..................
[CV]  c1=4.109273215106011, c2=0.0078119457141073104, score=0.542350 -   1.6s
[CV] c1=0.04217273311428912, c2=0.01964353271844492 ..................
[CV]  c1=0.04217273311428912, c2=0.01964353271844492, score=0.856161 -   1.5s
[CV] c1=0.7487444955139456, c2=0.04183693501633786 ...................
[CV]  c1=0.7487444955139456, c2=0.04183693501633786, score=0.703334 -   1.5s
[CV] c1=0.10526779866529709, c2=0.05176166415817373 ..................
[CV]  c1=0.10526779866529709, c2=0.05176166415817373, score=0.797708 -   1.0s
[CV] c1=0.2088043497589667, c2=0.0530114239340468 ....................
[CV]  c1=0.2088043497589667, c2=0.0530114239340468, score=0.787617 -   1.6s
[CV] c1=0.29583830508201236, c2=0.01798643548950671 ..................
[CV]  c1=0.29583830508201236, c2=0.01798643548950671, score=0.861876 -   1.5s
[CV] c1=0.18955402917458045, c2=0.08636412091972144 ..................
[CV]  c1=0.18955402917458045, c2=0.08636412091972144, score=0.787617 -   1.6s
[CV] c1=0.16513973560730638, c2=0.019615704640653153 .................
[CV]  c1=0.16513973560730638, c2=0.019615704640653153, score=0.859573 -   1.5s
[CV] c1=1.2004114073834975, c2=0.07759628861364987 ...................
[CV]  c1=1.2004114073834975, c2=0.07759628861364987, score=0.742547 -   1.5s
[CV] c1=0.5601587388496887, c2=0.18473556942910357 ...................
[CV]  c1=0.5601587388496887, c2=0.18473556942910357, score=0.790155 -   1.6s
[CV] c1=0.5479857315428167, c2=0.023902595251252146 ..................
[CV]  c1=0.5479857315428167, c2=0.023902595251252146, score=0.876179 -   1.6s
[CV] c1=0.4302211184672593, c2=0.3100961765853407 ....................
[CV]  c1=0.4302211184672593, c2=0.3100961765853407, score=0.773729 -   1.2s
[CV] c1=0.4825066438142363, c2=0.07353238364511089 ...................
[CV]  c1=0.4825066438142363, c2=0.07353238364511089, score=0.888441 -   1.5s
[CV] c1=0.0027878779783246195, c2=0.17343822451283591 ................
[CV]  c1=0.0027878779783246195, c2=0.17343822451283591, score=0.745078 -   1.2s
[CV] c1=1.0327099064783274, c2=0.05341569690901378 ...................
[CV]  c1=1.0327099064783274, c2=0.05341569690901378, score=0.707922 -   1.8s
[CV] c1=3.7966328677419514, c2=0.025405069773435818 ..................
[CV]  c1=3.7966328677419514, c2=0.025405069773435818, score=0.556974 -   1.3s
[CV] c1=0.35017827071383684, c2=0.015532124372292944 .................
[CV]  c1=0.35017827071383684, c2=0.015532124372292944, score=0.859573 -   1.5s
[CV] c1=0.5109549113896857, c2=0.02335641013164197 ...................
[CV]  c1=0.5109549113896857, c2=0.02335641013164197, score=0.725951 -   1.6s
[CV] c1=0.5273015450976181, c2=0.007072915916148783 ..................
[CV]  c1=0.5273015450976181, c2=0.007072915916148783, score=0.784934 -   1.3s
[CV] c1=0.3941762010865895, c2=0.12085744605712634 ...................
[CV]  c1=0.3941762010865895, c2=0.12085744605712634, score=0.844182 -   1.6s
[CV] c1=0.23339523762714956, c2=0.07024090800020376 ..................
[CV]  c1=0.23339523762714956, c2=0.07024090800020376, score=0.789275 -   1.6s
[CV] c1=0.17198204063587502, c2=0.03279007282690281 ..................
[CV]  c1=0.17198204063587502, c2=0.03279007282690281, score=0.791300 -   1.6s
[CV] c1=0.11860589950802516, c2=0.0005088943848650046 ................
[CV]  c1=0.11860589950802516, c2=0.0005088943848650046, score=0.803906 -   1.2s
[CV] c1=0.8145637004837758, c2=0.07566595563211083 ...................
[CV]  c1=0.8145637004837758, c2=0.07566595563211083, score=0.885069 -   1.5s
[CV] c1=0.03566611936135428, c2=0.009499702640697872 .................
[CV]  c1=0.03566611936135428, c2=0.009499702640697872, score=0.885356 -   1.4s
[CV] c1=0.23724446580655864, c2=0.00765495768357585 ..................
[CV]  c1=0.23724446580655864, c2=0.00765495768357585, score=0.903572 -   1.6s
[CV] c1=1.8684882216157765, c2=0.0035617404682536293 .................
[CV]  c1=1.8684882216157765, c2=0.0035617404682536293, score=0.616160 -   1.5s
[CV] c1=0.6859915230875829, c2=0.00033244895461042277 ................
[CV]  c1=0.6859915230875829, c2=0.00033244895461042277, score=0.871308 -   1.6s
[CV] c1=0.3315998658905508, c2=0.1047720979684843 ....................
[CV]  c1=0.3315998658905508, c2=0.1047720979684843, score=0.853325 -   1.5s
[CV] c1=0.33133344754934924, c2=0.03172193716962281 ..................
[CV]  c1=0.33133344754934924, c2=0.03172193716962281, score=0.857318 -   1.6s
[CV] c1=1.091718294696756, c2=0.003724639287813176 ...................
[CV]  c1=1.091718294696756, c2=0.003724639287813176, score=0.726333 -   1.3s
[CV] c1=0.11056333963434634, c2=0.019476159050850757 .................
[CV]  c1=0.11056333963434634, c2=0.019476159050850757, score=0.796103 -   1.2s
[CV] c1=0.18227274350762185, c2=0.023280094955960853 .................
[CV]  c1=0.18227274350762185, c2=0.023280094955960853, score=0.786377 -   1.6s
[CV] c1=0.3773321987706548, c2=0.026220211689977926 ..................
[CV]  c1=0.3773321987706548, c2=0.026220211689977926, score=0.835457 -   1.5s
[CV] c1=0.13441192925291173, c2=0.04569887735387225 ..................
[CV]  c1=0.13441192925291173, c2=0.04569887735387225, score=0.841377 -   1.6s
[CV] c1=0.46503923134934333, c2=0.0020288596414143683 ................
[CV]  c1=0.46503923134934333, c2=0.0020288596414143683, score=0.914649 -   1.6s
[CV] c1=0.39281875610104267, c2=0.03622909070084669 ..................
[CV]  c1=0.39281875610104267, c2=0.03622909070084669, score=0.908183 -   1.6s
[CV] c1=0.492038989936289, c2=0.022237559129727802 ...................
[CV]  c1=0.492038989936289, c2=0.022237559129727802, score=0.807648 -   1.2s
[CV] c1=0.0027878779783246195, c2=0.17343822451283591 ................
[CV]  c1=0.0027878779783246195, c2=0.17343822451283591, score=0.851930 -   1.6s
[CV] c1=0.18197996328294597, c2=0.015469518125976174 .................
[CV]  c1=0.18197996328294597, c2=0.015469518125976174, score=0.810789 -   1.3s
[CV] c1=0.7487444955139456, c2=0.04183693501633786 ...................
[CV]  c1=0.7487444955139456, c2=0.04183693501633786, score=0.848952 -   1.4s
[CV] c1=0.17013585464816594, c2=0.07327619961708501 ..................
[CV]  c1=0.17013585464816594, c2=0.07327619961708501, score=0.894448 -   1.4s
[CV] c1=0.24889918852558449, c2=0.019279108189258213 .................
[CV]  c1=0.24889918852558449, c2=0.019279108189258213, score=0.788968 -   1.6s
[CV] c1=0.12382007129628783, c2=0.05932820188251432 ..................
[CV]  c1=0.12382007129628783, c2=0.05932820188251432, score=0.873445 -   1.6s
[CV] c1=0.11056333963434634, c2=0.019476159050850757 .................
[CV]  c1=0.11056333963434634, c2=0.019476159050850757, score=0.888909 -   1.6s
[CV] c1=0.019961198292223682, c2=0.06145112972655941 .................
[CV]  c1=0.019961198292223682, c2=0.06145112972655941, score=0.828698 -   1.3s
[CV] c1=0.5146580495008997, c2=0.004644405370589561 ..................
[CV]  c1=0.5146580495008997, c2=0.004644405370589561, score=0.737589 -   1.3s
[CV] c1=0.13441192925291173, c2=0.04569887735387225 ..................
[CV]  c1=0.13441192925291173, c2=0.04569887735387225, score=0.890013 -   1.6s
[CV] c1=0.0038572341770633472, c2=0.04403566067632515 ................
[CV]  c1=0.0038572341770633472, c2=0.04403566067632515, score=0.880176 -   1.6s
[CV] c1=0.4302211184672593, c2=0.3100961765853407 ....................
[CV]  c1=0.4302211184672593, c2=0.3100961765853407, score=0.805545 -   1.5s
[CV] c1=1.5980169814733622, c2=0.010299441778147927 ..................
[CV]  c1=1.5980169814733622, c2=0.010299441778147927, score=0.625480 -   1.6s
[CV] c1=0.10394823493885684, c2=0.01878967169912779 ..................
[CV]  c1=0.10394823493885684, c2=0.01878967169912779, score=0.874904 -   1.5s
[CV] c1=0.059292821179741474, c2=0.06213167609729712 .................
[CV]  c1=0.059292821179741474, c2=0.06213167609729712, score=0.883272 -   1.6s
[CV] c1=0.465956978456729, c2=0.03411015468295849 ....................
[CV]  c1=0.465956978456729, c2=0.03411015468295849, score=0.815696 -   1.0s
[CV] c1=0.3499210771405884, c2=0.16390782693132555 ...................
[CV]  c1=0.3499210771405884, c2=0.16390782693132555, score=0.770415 -   1.3s
[CV] c1=0.33133344754934924, c2=0.03172193716962281 ..................
[CV]  c1=0.33133344754934924, c2=0.03172193716962281, score=0.886039 -   1.6s
[CV] c1=0.31223272822526443, c2=0.03335184211391016 ..................
[CV]  c1=0.31223272822526443, c2=0.03335184211391016, score=0.793847 -   1.3s
[CV] c1=1.8438873356069236, c2=0.02219821925603281 ...................
[CV]  c1=1.8438873356069236, c2=0.02219821925603281, score=0.722861 -   1.5s
[CV] c1=0.18227274350762185, c2=0.023280094955960853 .................
[CV]  c1=0.18227274350762185, c2=0.023280094955960853, score=0.858415 -   1.5s
[CV] c1=0.3773321987706548, c2=0.026220211689977926 ..................
[CV]  c1=0.3773321987706548, c2=0.026220211689977926, score=0.839967 -   1.4s
[CV] c1=0.13441192925291173, c2=0.04569887735387225 ..................
[CV]  c1=0.13441192925291173, c2=0.04569887735387225, score=0.795065 -   1.3s
[CV] c1=0.12438962942461897, c2=0.007855512708463713 .................
[CV]  c1=0.12438962942461897, c2=0.007855512708463713, score=0.835582 -   1.6s
[CV] c1=0.004619256178922591, c2=0.011346727482700849 ................
[CV]  c1=0.004619256178922591, c2=0.011346727482700849, score=0.809398 -   1.5s
[CV] c1=0.4825066438142363, c2=0.07353238364511089 ...................
[CV]  c1=0.4825066438142363, c2=0.07353238364511089, score=0.849206 -   1.7s
[CV] c1=0.34280014202946474, c2=0.02701576135616265 ..................
[CV]  c1=0.34280014202946474, c2=0.02701576135616265, score=0.859573 -   1.5s
[CV] c1=0.18197996328294597, c2=0.015469518125976174 .................
[CV]  c1=0.18197996328294597, c2=0.015469518125976174, score=0.788968 -   1.6s
[CV] c1=0.9278693790972031, c2=0.026427588277525078 ..................
[CV]  c1=0.9278693790972031, c2=0.026427588277525078, score=0.734520 -   1.2s
[CV] c1=0.2828535722174934, c2=0.01810910845295029 ...................
[CV]  c1=0.2828535722174934, c2=0.01810910845295029, score=0.875592 -   1.3s
[CV] c1=0.48453492674632, c2=0.04231488867732899 .....................
[CV]  c1=0.48453492674632, c2=0.04231488867732899, score=0.737001 -   1.6s
[CV] c1=0.12382007129628783, c2=0.05932820188251432 ..................
[CV]  c1=0.12382007129628783, c2=0.05932820188251432, score=0.794229 -   1.3s
[CV] c1=1.8438873356069236, c2=0.02219821925603281 ...................
[CV]  c1=1.8438873356069236, c2=0.02219821925603281, score=0.688747 -   1.3s
[CV] c1=0.16513973560730638, c2=0.019615704640653153 .................
[CV]  c1=0.16513973560730638, c2=0.019615704640653153, score=0.788968 -   1.6s
[CV] c1=1.2004114073834975, c2=0.07759628861364987 ...................
[CV]  c1=1.2004114073834975, c2=0.07759628861364987, score=0.736726 -   1.3s
[CV] c1=1.39422323224944, c2=0.010648963337882634 ....................
[CV]  c1=1.39422323224944, c2=0.010648963337882634, score=0.672611 -   1.3s
[CV] c1=0.47969917335007534, c2=0.019563648919512892 .................
[CV]  c1=0.47969917335007534, c2=0.019563648919512892, score=0.866233 -   1.6s
[CV] c1=0.0564305540840522, c2=0.0034465956033383795 .................
[CV]  c1=0.0564305540840522, c2=0.0034465956033383795, score=0.813512 -   1.6s
[CV] c1=0.09391933000869136, c2=0.02282051715163126 ..................
[CV]  c1=0.09391933000869136, c2=0.02282051715163126, score=0.841254 -   1.6s
[CV] c1=0.0027878779783246195, c2=0.17343822451283591 ................
[CV]  c1=0.0027878779783246195, c2=0.17343822451283591, score=0.785590 -   1.8s
[CV] c1=0.059292821179741474, c2=0.06213167609729712 .................
[CV]  c1=0.059292821179741474, c2=0.06213167609729712, score=0.834346 -   1.2s
[CV] c1=3.7966328677419514, c2=0.025405069773435818 ..................
[CV]  c1=3.7966328677419514, c2=0.025405069773435818, score=0.526374 -   1.4s
[CV] c1=0.3315998658905508, c2=0.1047720979684843 ....................
[CV]  c1=0.3315998658905508, c2=0.1047720979684843, score=0.803127 -   1.1s
[CV] c1=0.48453492674632, c2=0.04231488867732899 .....................
[CV]  c1=0.48453492674632, c2=0.04231488867732899, score=0.862264 -   1.5s
[CV] c1=0.12382007129628783, c2=0.05932820188251432 ..................
[CV]  c1=0.12382007129628783, c2=0.05932820188251432, score=0.895156 -   1.6s
[CV] c1=0.9418093654817888, c2=0.0705509194515223 ....................
[CV]  c1=0.9418093654817888, c2=0.0705509194515223, score=0.731099 -   1.3s
[CV] c1=0.18227274350762185, c2=0.023280094955960853 .................
[CV]  c1=0.18227274350762185, c2=0.023280094955960853, score=0.894645 -   1.5s
[CV] c1=0.3773321987706548, c2=0.026220211689977926 ..................
[CV]  c1=0.3773321987706548, c2=0.026220211689977926, score=0.898831 -   1.5s
[CV] c1=0.13441192925291173, c2=0.04569887735387225 ..................
[CV]  c1=0.13441192925291173, c2=0.04569887735387225, score=0.791300 -   1.7s
[CV] c1=0.46503923134934333, c2=0.0020288596414143683 ................
[CV]  c1=0.46503923134934333, c2=0.0020288596414143683, score=0.759682 -   1.2s
[CV] c1=0.004619256178922591, c2=0.011346727482700849 ................
[CV]  c1=0.004619256178922591, c2=0.011346727482700849, score=0.787407 -   1.6s
[CV] c1=1.5980169814733622, c2=0.010299441778147927 ..................
[CV]  c1=1.5980169814733622, c2=0.010299441778147927, score=0.672444 -   1.3s
[CV] c1=4.109273215106011, c2=0.0078119457141073104 ..................
[CV]  c1=4.109273215106011, c2=0.0078119457141073104, score=0.428320 -   1.7s
[CV] c1=0.35464015708793156, c2=0.04377167517007998 ..................
[CV]  c1=0.35464015708793156, c2=0.04377167517007998, score=0.859573 -   1.5s
[CV] c1=3.7966328677419514, c2=0.025405069773435818 ..................
[CV]  c1=3.7966328677419514, c2=0.025405069773435818, score=0.432735 -   1.3s
[CV] c1=0.10526779866529709, c2=0.05176166415817373 ..................
[CV]  c1=0.10526779866529709, c2=0.05176166415817373, score=0.885341 -   1.3s
[CV] c1=0.48453492674632, c2=0.04231488867732899 .....................
[CV]  c1=0.48453492674632, c2=0.04231488867732899, score=0.782960 -   1.3s
[CV] c1=0.29583830508201236, c2=0.01798643548950671 ..................
[CV]  c1=0.29583830508201236, c2=0.01798643548950671, score=0.801165 -   1.3s
[CV] c1=0.43317489371498913, c2=0.0015076639103849703 ................
[CV]  c1=0.43317489371498913, c2=0.0015076639103849703, score=0.761764 -   1.7s
[CV] c1=0.16513973560730638, c2=0.019615704640653153 .................
[CV]  c1=0.16513973560730638, c2=0.019615704640653153, score=0.890545 -   1.6s
[CV] c1=1.2004114073834975, c2=0.07759628861364987 ...................
[CV]  c1=1.2004114073834975, c2=0.07759628861364987, score=0.863704 -   1.5s
[CV] c1=0.5601587388496887, c2=0.18473556942910357 ...................
[CV]  c1=0.5601587388496887, c2=0.18473556942910357, score=0.719498 -   1.3s
[CV] c1=0.12438962942461897, c2=0.007855512708463713 .................
[CV]  c1=0.12438962942461897, c2=0.007855512708463713, score=0.790703 -   1.6s
[CV] c1=0.1461541183199563, c2=0.05600986562284919 ...................
[CV]  c1=0.1461541183199563, c2=0.05600986562284919, score=0.841377 -   1.7s
[CV] c1=0.4825066438142363, c2=0.07353238364511089 ...................
[CV]  c1=0.4825066438142363, c2=0.07353238364511089, score=0.818695 -   1.5s
[CV] c1=0.0027878779783246195, c2=0.17343822451283591 ................
[CV]  c1=0.0027878779783246195, c2=0.17343822451283591, score=0.858948 -   1.5s
[CV] c1=0.35464015708793156, c2=0.04377167517007998 ..................
[CV]  c1=0.35464015708793156, c2=0.04377167517007998, score=0.759193 -   1.7s
[CV] c1=0.9278693790972031, c2=0.026427588277525078 ..................
[CV]  c1=0.9278693790972031, c2=0.026427588277525078, score=0.883149 -   1.4s
[CV] c1=0.34520210743600516, c2=0.03518078471827048 ..................
[CV]  c1=0.34520210743600516, c2=0.03518078471827048, score=0.867699 -   1.6s
[CV] c1=0.3642542974056936, c2=0.25739266202119965 ...................
[CV]  c1=0.3642542974056936, c2=0.25739266202119965, score=0.828593 -   1.6s
[CV] c1=0.18955402917458045, c2=0.08636412091972144 ..................
[CV]  c1=0.18955402917458045, c2=0.08636412091972144, score=0.800062 -   1.5s
[CV] c1=0.24856907124337033, c2=0.01714745797315375 ..................
[CV]  c1=0.24856907124337033, c2=0.01714745797315375, score=0.859573 -   1.9s
[CV] c1=1.2004114073834975, c2=0.07759628861364987 ...................
[CV]  c1=1.2004114073834975, c2=0.07759628861364987, score=0.658583 -   1.6s
[CV] c1=0.13441192925291173, c2=0.04569887735387225 ..................
[CV]  c1=0.13441192925291173, c2=0.04569887735387225, score=0.860647 -   1.5s
[CV] c1=0.0038572341770633472, c2=0.04403566067632515 ................
[CV]  c1=0.0038572341770633472, c2=0.04403566067632515, score=0.803520 -   1.5s
[CV] c1=0.4302211184672593, c2=0.3100961765853407 ....................
[CV]  c1=0.4302211184672593, c2=0.3100961765853407, score=0.800060 -   1.5s
[CV] c1=0.492038989936289, c2=0.022237559129727802 ...................
[CV]  c1=0.492038989936289, c2=0.022237559129727802, score=0.908688 -   1.6s
[CV] c1=0.10394823493885684, c2=0.01878967169912779 ..................
[CV]  c1=0.10394823493885684, c2=0.01878967169912779, score=0.799708 -   1.5s
[CV] c1=0.059292821179741474, c2=0.06213167609729712 .................
[CV]  c1=0.059292821179741474, c2=0.06213167609729712, score=0.864230 -   1.5s
[CV] c1=0.465956978456729, c2=0.03411015468295849 ....................
[CV]  c1=0.465956978456729, c2=0.03411015468295849, score=0.827609 -   1.1s
[CV] c1=0.2828535722174934, c2=0.01810910845295029 ...................
[CV]  c1=0.2828535722174934, c2=0.01810910845295029, score=0.898148 -   1.1s
[CV] c1=0.2088043497589667, c2=0.0530114239340468 ....................
[CV]  c1=0.2088043497589667, c2=0.0530114239340468, score=0.889670 -   1.7s
[CV] c1=0.29583830508201236, c2=0.01798643548950671 ..................
[CV]  c1=0.29583830508201236, c2=0.01798643548950671, score=0.788112 -   1.7s
[CV] c1=0.18955402917458045, c2=0.08636412091972144 ..................
[CV]  c1=0.18955402917458045, c2=0.08636412091972144, score=0.861375 -   1.9s
[CV] c1=0.12479052036798916, c2=0.07272692658736098 ..................
[CV]  c1=0.12479052036798916, c2=0.07272692658736098, score=0.793675 -   1.6s
[CV] c1=0.6491879071335226, c2=0.20906933145423615 ...................
[CV]  c1=0.6491879071335226, c2=0.20906933145423615, score=0.667036 -   1.9s
[CV] c1=0.9775751843705213, c2=0.06857026266481418 ...................
[CV]  c1=0.9775751843705213, c2=0.06857026266481418, score=0.746028 -   1.7s
[CV] c1=0.21408009705706021, c2=0.03805721417360694 ..................
[CV]  c1=0.21408009705706021, c2=0.03805721417360694, score=0.799174 -   1.3s
[CV] c1=0.03566611936135428, c2=0.009499702640697872 .................
[CV]  c1=0.03566611936135428, c2=0.009499702640697872, score=0.840523 -   1.3s
[CV] c1=0.23724446580655864, c2=0.00765495768357585 ..................
[CV]  c1=0.23724446580655864, c2=0.00765495768357585, score=0.802802 -   1.3s
[CV] c1=0.10394823493885684, c2=0.01878967169912779 ..................
[CV]  c1=0.10394823493885684, c2=0.01878967169912779, score=0.837683 -   1.3s
[CV] c1=0.35464015708793156, c2=0.04377167517007998 ..................
[CV]  c1=0.35464015708793156, c2=0.04377167517007998, score=0.867699 -   1.6s
[CV] c1=0.9278693790972031, c2=0.026427588277525078 ..................
[CV]  c1=0.9278693790972031, c2=0.026427588277525078, score=0.694659 -   1.3s
[CV] c1=0.3315998658905508, c2=0.1047720979684843 ....................
[CV]  c1=0.3315998658905508, c2=0.1047720979684843, score=0.854582 -   1.6s
[CV] c1=0.21663422296601376, c2=0.03878464949225092 ..................
[CV]  c1=0.21663422296601376, c2=0.03878464949225092, score=0.840926 -   1.7s
[CV] c1=0.5273015450976181, c2=0.007072915916148783 ..................
[CV]  c1=0.5273015450976181, c2=0.007072915916148783, score=0.901937 -   1.6s
[CV] c1=0.10228019424453735, c2=0.13802412050084736 ..................
[CV]  c1=0.10228019424453735, c2=0.13802412050084736, score=0.795704 -   1.5s
[CV] c1=0.15589746668357796, c2=0.01688484300668192 ..................
[CV]  c1=0.15589746668357796, c2=0.01688484300668192, score=0.788709 -   1.6s
[CV] c1=1.39422323224944, c2=0.010648963337882634 ....................
[CV]  c1=1.39422323224944, c2=0.010648963337882634, score=0.863523 -   1.5s
[CV] c1=0.11860589950802516, c2=0.0005088943848650046 ................
[CV]  c1=0.11860589950802516, c2=0.0005088943848650046, score=0.826247 -   1.6s
[CV] c1=0.1461541183199563, c2=0.05600986562284919 ...................
[CV]  c1=0.1461541183199563, c2=0.05600986562284919, score=0.808641 -   1.2s
[CV] c1=0.18410088255751675, c2=0.0201875355495236 ...................
[CV]  c1=0.18410088255751675, c2=0.0201875355495236, score=0.798975 -   1.2s
[CV] c1=0.17393800725550876, c2=0.010926973341189892 .................
[CV]  c1=0.17393800725550876, c2=0.010926973341189892, score=0.896977 -   1.6s
[CV] c1=1.8684882216157765, c2=0.0035617404682536293 .................
[CV]  c1=1.8684882216157765, c2=0.0035617404682536293, score=0.683465 -   1.3s
[CV] c1=0.16868628827662824, c2=0.318197384951879 ....................
[CV]  c1=0.16868628827662824, c2=0.318197384951879, score=0.757390 -   1.2s
[CV] c1=0.9278693790972031, c2=0.026427588277525078 ..................
[CV]  c1=0.9278693790972031, c2=0.026427588277525078, score=0.799896 -   1.3s
[CV] c1=0.17013585464816594, c2=0.07327619961708501 ..................
[CV]  c1=0.17013585464816594, c2=0.07327619961708501, score=0.787617 -   1.3s
[CV] c1=0.24889918852558449, c2=0.019279108189258213 .................
[CV]  c1=0.24889918852558449, c2=0.019279108189258213, score=0.813967 -   1.4s
[CV] c1=0.933403764050804, c2=0.04439289870191057 ....................
[CV]  c1=0.933403764050804, c2=0.04439289870191057, score=0.785219 -   1.6s
[CV] c1=1.8438873356069236, c2=0.02219821925603281 ...................
[CV]  c1=1.8438873356069236, c2=0.02219821925603281, score=0.612411 -   1.7s
[CV] c1=0.12479052036798916, c2=0.07272692658736098 ..................
[CV]  c1=0.12479052036798916, c2=0.07272692658736098, score=0.812068 -   1.3s
[CV] c1=0.3773321987706548, c2=0.026220211689977926 ..................
[CV]  c1=0.3773321987706548, c2=0.026220211689977926, score=0.798672 -   1.3s
[CV] c1=0.5601587388496887, c2=0.18473556942910357 ...................
[CV]  c1=0.5601587388496887, c2=0.18473556942910357, score=0.687061 -   1.8s
[CV] c1=0.0038572341770633472, c2=0.04403566067632515 ................
[CV]  c1=0.0038572341770633472, c2=0.04403566067632515, score=0.847870 -   1.4s
[CV] c1=0.4302211184672593, c2=0.3100961765853407 ....................
[CV]  c1=0.4302211184672593, c2=0.3100961765853407, score=0.686206 -   1.6s
[CV] c1=1.5980169814733622, c2=0.010299441778147927 ..................
[CV]  c1=1.5980169814733622, c2=0.010299441778147927, score=0.740979 -   1.5s
[CV] c1=0.34280014202946474, c2=0.02701576135616265 ..................
[CV]  c1=0.34280014202946474, c2=0.02701576135616265, score=0.759795 -   1.6s
[CV] c1=0.18197996328294597, c2=0.015469518125976174 .................
[CV]  c1=0.18197996328294597, c2=0.015469518125976174, score=0.859573 -   1.5s
[CV] c1=0.465956978456729, c2=0.03411015468295849 ....................
[CV]  c1=0.465956978456729, c2=0.03411015468295849, score=0.901454 -   1.2s
[CV] c1=0.17013585464816594, c2=0.07327619961708501 ..................
[CV]  c1=0.17013585464816594, c2=0.07327619961708501, score=0.810242 -   1.1s
[CV] c1=0.2088043497589667, c2=0.0530114239340468 ....................
[CV]  c1=0.2088043497589667, c2=0.0530114239340468, score=0.873445 -   1.6s
[CV] c1=0.933403764050804, c2=0.04439289870191057 ....................
[CV]  c1=0.933403764050804, c2=0.04439289870191057, score=0.871430 -   1.8s
[CV] c1=0.9418093654817888, c2=0.0705509194515223 ....................
[CV]  c1=0.9418093654817888, c2=0.0705509194515223, score=0.677515 -   1.7s
[CV] c1=0.019961198292223682, c2=0.06145112972655941 .................
[CV]  c1=0.019961198292223682, c2=0.06145112972655941, score=0.818706 -   1.6s
[CV] c1=0.5538245585407736, c2=0.08155262915965236 ...................
[CV]  c1=0.5538245585407736, c2=0.08155262915965236, score=0.760209 -   1.3s
[CV] c1=0.3135219409457214, c2=0.09242331180923632 ...................
[CV]  c1=0.3135219409457214, c2=0.09242331180923632, score=0.780835 -   1.3s
[CV] c1=0.46503923134934333, c2=0.0020288596414143683 ................
[CV]  c1=0.46503923134934333, c2=0.0020288596414143683, score=0.752727 -   1.6s
[CV] c1=0.39281875610104267, c2=0.03622909070084669 ..................
[CV]  c1=0.39281875610104267, c2=0.03622909070084669, score=0.853325 -   1.5s
[CV] c1=0.492038989936289, c2=0.022237559129727802 ...................
[CV]  c1=0.492038989936289, c2=0.022237559129727802, score=0.838212 -   1.4s
[CV] c1=0.10394823493885684, c2=0.01878967169912779 ..................
[CV]  c1=0.10394823493885684, c2=0.01878967169912779, score=0.848802 -   1.5s
[CV] c1=0.059292821179741474, c2=0.06213167609729712 .................
[CV]  c1=0.059292821179741474, c2=0.06213167609729712, score=0.799708 -   1.7s
[CV] c1=0.2235008798038101, c2=0.027933643994481713 ..................
[CV]  c1=0.2235008798038101, c2=0.027933643994481713, score=0.821335 -   1.1s
[CV] c1=0.34520210743600516, c2=0.03518078471827048 ..................
[CV]  c1=0.34520210743600516, c2=0.03518078471827048, score=0.800270 -   1.5s
[CV] c1=0.44884727557679893, c2=0.0951546492440048 ...................
[CV]  c1=0.44884727557679893, c2=0.0951546492440048, score=0.722481 -   1.7s
[CV] c1=0.43317489371498913, c2=0.0015076639103849703 ................
[CV]  c1=0.43317489371498913, c2=0.0015076639103849703, score=0.796101 -   1.3s
[CV] c1=0.10228019424453735, c2=0.13802412050084736 ..................
[CV]  c1=0.10228019424453735, c2=0.13802412050084736, score=0.775023 -   1.2s
[CV] c1=0.8286595389522671, c2=0.10426164668578633 ...................
[CV]  c1=0.8286595389522671, c2=0.10426164668578633, score=0.662527 -   1.6s
[CV] c1=0.5538245585407736, c2=0.08155262915965236 ...................
[CV]  c1=0.5538245585407736, c2=0.08155262915965236, score=0.885128 -   1.6s
[CV] c1=0.47969917335007534, c2=0.019563648919512892 .................
[CV]  c1=0.47969917335007534, c2=0.019563648919512892, score=0.808938 -   1.2s
[CV] c1=0.36008497511819726, c2=0.0049277185031961985 ................
[CV]  c1=0.36008497511819726, c2=0.0049277185031961985, score=0.861876 -   1.4s
[CV] c1=0.4607606239336078, c2=0.006306276957035579 ..................
[CV]  c1=0.4607606239336078, c2=0.006306276957035579, score=0.793036 -   1.3s
[CV] c1=0.492038989936289, c2=0.022237559129727802 ...................
[CV]  c1=0.492038989936289, c2=0.022237559129727802, score=0.731948 -   1.6s
[CV] c1=0.05275382353533498, c2=0.05447748280630224 ..................
[CV]  c1=0.05275382353533498, c2=0.05447748280630224, score=0.890444 -   1.5s
[CV] c1=0.16868628827662824, c2=0.318197384951879 ....................
[CV]  c1=0.16868628827662824, c2=0.318197384951879, score=0.875880 -   1.5s
[CV] c1=0.2235008798038101, c2=0.027933643994481713 ..................
[CV]  c1=0.2235008798038101, c2=0.027933643994481713, score=0.887878 -   1.1s
[CV] c1=0.10526779866529709, c2=0.05176166415817373 ..................
[CV]  c1=0.10526779866529709, c2=0.05176166415817373, score=0.861171 -   1.4s
[CV] c1=0.24889918852558449, c2=0.019279108189258213 .................
[CV]  c1=0.24889918852558449, c2=0.019279108189258213, score=0.902926 -   1.6s
[CV] c1=0.12382007129628783, c2=0.05932820188251432 ..................
[CV]  c1=0.12382007129628783, c2=0.05932820188251432, score=0.799708 -   1.6s
[CV] c1=0.9418093654817888, c2=0.0705509194515223 ....................
[CV]  c1=0.9418093654817888, c2=0.0705509194515223, score=0.747052 -   1.7s
[CV] c1=0.019961198292223682, c2=0.06145112972655941 .................
[CV]  c1=0.019961198292223682, c2=0.06145112972655941, score=0.854438 -   1.7s
[CV] c1=0.5538245585407736, c2=0.08155262915965236 ...................
[CV]  c1=0.5538245585407736, c2=0.08155262915965236, score=0.716507 -   1.5s
[CV] c1=0.9775751843705213, c2=0.06857026266481418 ...................
[CV]  c1=0.9775751843705213, c2=0.06857026266481418, score=0.730854 -   1.3s
[CV] c1=0.36008497511819726, c2=0.0049277185031961985 ................
[CV]  c1=0.36008497511819726, c2=0.0049277185031961985, score=0.772863 -   1.3s
[CV] c1=0.39281875610104267, c2=0.03622909070084669 ..................
[CV]  c1=0.39281875610104267, c2=0.03622909070084669, score=0.747200 -   1.6s
[CV] c1=0.23724446580655864, c2=0.00765495768357585 ..................
[CV]  c1=0.23724446580655864, c2=0.00765495768357585, score=0.905038 -   1.5s
[CV] c1=0.05275382353533498, c2=0.05447748280630224 ..................
[CV]  c1=0.05275382353533498, c2=0.05447748280630224, score=0.839747 -   1.2s
[CV] c1=0.18197996328294597, c2=0.015469518125976174 .................
[CV]  c1=0.18197996328294597, c2=0.015469518125976174, score=0.840202 -   1.6s
[CV] c1=0.465956978456729, c2=0.03411015468295849 ....................
[CV]  c1=0.465956978456729, c2=0.03411015468295849, score=0.752725 -   1.2s
[CV] c1=0.2828535722174934, c2=0.01810910845295029 ...................
[CV]  c1=0.2828535722174934, c2=0.01810910845295029, score=0.785480 -   1.1s
[CV] c1=0.2088043497589667, c2=0.0530114239340468 ....................
[CV]  c1=0.2088043497589667, c2=0.0530114239340468, score=0.810041 -   1.3s
[CV] c1=0.3642542974056936, c2=0.25739266202119965 ...................
[CV]  c1=0.3642542974056936, c2=0.25739266202119965, score=0.823433 -   1.5s
[CV] c1=0.43317489371498913, c2=0.0015076639103849703 ................
[CV]  c1=0.43317489371498913, c2=0.0015076639103849703, score=0.834791 -   1.6s
[CV] c1=0.16513973560730638, c2=0.019615704640653153 .................
[CV]  c1=0.16513973560730638, c2=0.019615704640653153, score=0.801952 -   1.2s
[CV] c1=0.15589746668357796, c2=0.01688484300668192 ..................
[CV]  c1=0.15589746668357796, c2=0.01688484300668192, score=0.840803 -   1.6s
[CV] c1=1.39422323224944, c2=0.010648963337882634 ....................
[CV]  c1=1.39422323224944, c2=0.010648963337882634, score=0.617378 -   1.7s
[CV] c1=0.5479857315428167, c2=0.023902595251252146 ..................
[CV]  c1=0.5479857315428167, c2=0.023902595251252146, score=0.725796 -   1.6s
[CV] c1=0.4302211184672593, c2=0.3100961765853407 ....................
[CV]  c1=0.4302211184672593, c2=0.3100961765853407, score=0.871241 -   1.6s
[CV] c1=1.5980169814733622, c2=0.010299441778147927 ..................
[CV]  c1=1.5980169814733622, c2=0.010299441778147927, score=0.616944 -   1.6s
[CV] c1=0.34280014202946474, c2=0.02701576135616265 ..................
[CV]  c1=0.34280014202946474, c2=0.02701576135616265, score=0.898494 -   1.7s
[CV] c1=0.059292821179741474, c2=0.06213167609729712 .................
[CV]  c1=0.059292821179741474, c2=0.06213167609729712, score=0.854825 -   1.7s
[CV] c1=0.2235008798038101, c2=0.027933643994481713 ..................
[CV]  c1=0.2235008798038101, c2=0.027933643994481713, score=0.862314 -   1.0s
[CV] c1=0.3499210771405884, c2=0.16390782693132555 ...................
[CV]  c1=0.3499210771405884, c2=0.16390782693132555, score=0.814086 -   1.6s
[CV] c1=0.5109549113896857, c2=0.02335641013164197 ...................
[CV]  c1=0.5109549113896857, c2=0.02335641013164197, score=0.793161 -   1.3s
[CV] c1=0.31223272822526443, c2=0.03335184211391016 ..................
[CV]  c1=0.31223272822526443, c2=0.03335184211391016, score=0.859573 -   1.5s
[CV] c1=0.11056333963434634, c2=0.019476159050850757 .................
[CV]  c1=0.11056333963434634, c2=0.019476159050850757, score=0.796093 -   1.6s
[CV] c1=0.019961198292223682, c2=0.06145112972655941 .................
[CV]  c1=0.019961198292223682, c2=0.06145112972655941, score=0.851436 -   1.4s
[CV] c1=0.6491879071335226, c2=0.20906933145423615 ...................
[CV]  c1=0.6491879071335226, c2=0.20906933145423615, score=0.852317 -   1.5s
[CV] c1=0.5864101363282318, c2=0.10719609312982284 ...................
[CV]  c1=0.5864101363282318, c2=0.10719609312982284, score=0.880104 -   1.6s
[CV] c1=0.36008497511819726, c2=0.0049277185031961985 ................
[CV]  c1=0.36008497511819726, c2=0.0049277185031961985, score=0.918463 -   1.6s
[CV] c1=0.4607606239336078, c2=0.006306276957035579 ..................
[CV]  c1=0.4607606239336078, c2=0.006306276957035579, score=0.870482 -   1.6s
[CV] c1=0.17393800725550876, c2=0.010926973341189892 .................
[CV]  c1=0.17393800725550876, c2=0.010926973341189892, score=0.794706 -   1.2s
[CV] c1=0.10394823493885684, c2=0.01878967169912779 ..................
[CV]  c1=0.10394823493885684, c2=0.01878967169912779, score=0.840926 -   1.6s
[CV] c1=0.16868628827662824, c2=0.318197384951879 ....................
[CV]  c1=0.16868628827662824, c2=0.318197384951879, score=0.837184 -   1.5s
[CV] c1=0.2235008798038101, c2=0.027933643994481713 ..................
[CV]  c1=0.2235008798038101, c2=0.027933643994481713, score=0.788968 -   1.1s
[CV] c1=1.160111299913775, c2=1.2264479048164272e-05 .................
[CV]  c1=1.160111299913775, c2=1.2264479048164272e-05, score=0.700038 -   1.3s
[CV] c1=0.21663422296601376, c2=0.03878464949225092 ..................
[CV]  c1=0.21663422296601376, c2=0.03878464949225092, score=0.859550 -   1.4s
[CV] c1=1.091718294696756, c2=0.003724639287813176 ...................
[CV]  c1=1.091718294696756, c2=0.003724639287813176, score=0.662479 -   1.6s
[CV] c1=0.28965637935674193, c2=0.05046769613185388 ..................
[CV]  c1=0.28965637935674193, c2=0.05046769613185388, score=0.908403 -   1.5s
[CV] c1=0.23339523762714956, c2=0.07024090800020376 ..................
[CV]  c1=0.23339523762714956, c2=0.07024090800020376, score=0.894236 -   1.6s
[CV] c1=0.17198204063587502, c2=0.03279007282690281 ..................
[CV]  c1=0.17198204063587502, c2=0.03279007282690281, score=0.880562 -   1.5s
[CV] c1=0.47969917335007534, c2=0.019563648919512892 .................
[CV]  c1=0.47969917335007534, c2=0.019563648919512892, score=0.897876 -   1.5s
[CV] c1=0.8145637004837758, c2=0.07566595563211083 ...................
[CV]  c1=0.8145637004837758, c2=0.07566595563211083, score=0.687628 -   1.6s
[CV] c1=0.03566611936135428, c2=0.009499702640697872 .................
[CV]  c1=0.03566611936135428, c2=0.009499702640697872, score=0.840803 -   1.6s
[CV] c1=1.3402754604540517, c2=0.0352185906538046 ....................
[CV]  c1=1.3402754604540517, c2=0.0352185906538046, score=0.681929 -   1.2s
[CV] c1=1.8684882216157765, c2=0.0035617404682536293 .................
[CV]  c1=1.8684882216157765, c2=0.0035617404682536293, score=0.833931 -   1.5s
[CV] c1=0.6859915230875829, c2=0.00033244895461042277 ................
[CV]  c1=0.6859915230875829, c2=0.00033244895461042277, score=0.721650 -   1.3s
[CV] c1=0.465956978456729, c2=0.03411015468295849 ....................
[CV]  c1=0.465956978456729, c2=0.03411015468295849, score=0.848605 -   1.2s
Training done in: 21.706109s
     Saving training model...
        Saving training model done in: 0.013356s
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Prediction done in: 0.035815s