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

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Run4_v13.txt 68.9 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: Run4
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: FalseS4: False
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: 0.003688s
-------------------------------- 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       word      :
12    isUpper  False
13    isLower  False
14    isGreek  False
15   isNumber  False
16    -1:word     in
17    +1:word     M9
--------------------------- 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       word  delta-arcA
13    isUpper       False
14    isLower       False
15    isGreek       False
16   isNumber       False
17    -1:word           _
18    +1:word           _
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.6059356538728049, c2=0.03717717023950646 ...................
[CV]  c1=0.6059356538728049, c2=0.03717717023950646, score=0.781519 -   1.4s
[CV] c1=0.48323052181428283, c2=0.019851606278533367 .................
[CV]  c1=0.48323052181428283, c2=0.019851606278533367, score=0.860582 -   1.5s
[CV] c1=0.16643367730363873, c2=0.028855432135868483 .................
[CV]  c1=0.16643367730363873, c2=0.028855432135868483, score=0.891421 -   1.5s
[CV] c1=0.21876680369900037, c2=0.01448079821120813 ..................
[CV]  c1=0.21876680369900037, c2=0.01448079821120813, score=0.805250 -   1.5s
[CV] c1=0.21136359495397825, c2=0.16797570803176087 ..................
[CV]  c1=0.21136359495397825, c2=0.16797570803176087, score=0.815418 -   1.6s
[CV] c1=0.332951156272704, c2=0.02807717866471864 ....................
[CV]  c1=0.332951156272704, c2=0.02807717866471864, score=0.822105 -   1.4s
[CV] c1=0.1397392200197607, c2=0.047367540446401374 ..................
[CV]  c1=0.1397392200197607, c2=0.047367540446401374, score=0.815696 -   1.5s
[CV] c1=0.6660305756702616, c2=0.03801888360018453 ...................
[CV]  c1=0.6660305756702616, c2=0.03801888360018453, score=0.796807 -   1.5s
[CV] c1=2.7152898226454973, c2=0.00296333056970149 ...................
[CV]  c1=2.7152898226454973, c2=0.00296333056970149, score=0.500758 -   1.1s
[CV] c1=0.568770701113226, c2=0.010275299162847508 ...................
[CV]  c1=0.568770701113226, c2=0.010275299162847508, score=0.808551 -   1.4s
[CV] c1=0.1804257741620827, c2=0.024462784726632533 ..................
[CV]  c1=0.1804257741620827, c2=0.024462784726632533, score=0.821444 -   1.5s
[CV] c1=0.1450010892760449, c2=0.03932575967305351 ...................
[CV]  c1=0.1450010892760449, c2=0.03932575967305351, score=0.807541 -   1.6s
[CV] c1=0.16212380904412416, c2=0.054002149027002226 .................
[CV]  c1=0.16212380904412416, c2=0.054002149027002226, score=0.805250 -   1.6s
[CV] c1=0.7520678091891515, c2=0.164338757318189 .....................
[CV]  c1=0.7520678091891515, c2=0.164338757318189, score=0.747642 -   1.4s
[CV] c1=0.11217449404791537, c2=0.03453441784924781 ..................
[CV]  c1=0.11217449404791537, c2=0.03453441784924781, score=0.871459 -   1.5s
[CV] c1=0.422663266934568, c2=0.08006700331211714 ....................
[CV]  c1=0.422663266934568, c2=0.08006700331211714, score=0.809007 -   1.6s
[CV] c1=0.5866447648275678, c2=0.015428146765883617 ..................
[CV]  c1=0.5866447648275678, c2=0.015428146765883617, score=0.789530 -   1.4s
[CV] c1=0.546735904004489, c2=0.09710447179272048 ....................
[CV]  c1=0.546735904004489, c2=0.09710447179272048, score=0.662646 -   1.2s
[CV] c1=0.1397392200197607, c2=0.047367540446401374 ..................
[CV]  c1=0.1397392200197607, c2=0.047367540446401374, score=0.808161 -   1.5s
[CV] c1=0.6660305756702616, c2=0.03801888360018453 ...................
[CV]  c1=0.6660305756702616, c2=0.03801888360018453, score=0.678111 -   1.2s
[CV] c1=0.6703824613947087, c2=0.10604398210568117 ...................
[CV]  c1=0.6703824613947087, c2=0.10604398210568117, score=0.798793 -   1.6s
[CV] c1=0.14917309200417395, c2=0.03743599826455451 ..................
[CV]  c1=0.14917309200417395, c2=0.03743599826455451, score=0.807541 -   1.5s
[CV] c1=0.8068378894353769, c2=0.04435856330534721 ...................
[CV]  c1=0.8068378894353769, c2=0.04435856330534721, score=0.865686 -   1.4s
[CV] c1=0.09050303009930263, c2=0.011376919062801187 .................
[CV]  c1=0.09050303009930263, c2=0.011376919062801187, score=0.816307 -   1.5s
[CV] c1=0.06080938207496893, c2=0.013060148576803763 .................
[CV]  c1=0.06080938207496893, c2=0.013060148576803763, score=0.825871 -   1.6s
[CV] c1=0.25913743483588936, c2=0.03424556017491182 ..................
[CV]  c1=0.25913743483588936, c2=0.03424556017491182, score=0.877300 -   1.5s
[CV] c1=0.6373958691473455, c2=0.1342139249135402 ....................
[CV]  c1=0.6373958691473455, c2=0.1342139249135402, score=0.864543 -   1.5s
[CV] c1=0.422663266934568, c2=0.08006700331211714 ....................
[CV]  c1=0.422663266934568, c2=0.08006700331211714, score=0.750181 -   1.5s
[CV] c1=0.6493769802036019, c2=0.01831715676191443 ...................
[CV]  c1=0.6493769802036019, c2=0.01831715676191443, score=0.712544 -   1.3s
[CV] c1=1.4940927614308166, c2=0.04755715021857891 ...................
[CV]  c1=1.4940927614308166, c2=0.04755715021857891, score=0.554860 -   1.5s
[CV] c1=0.6082423319750007, c2=0.03386518884697164 ...................
[CV]  c1=0.6082423319750007, c2=0.03386518884697164, score=0.781519 -   1.6s
[CV] c1=0.6660305756702616, c2=0.03801888360018453 ...................
[CV]  c1=0.6660305756702616, c2=0.03801888360018453, score=0.736691 -   1.6s
[CV] c1=2.7152898226454973, c2=0.00296333056970149 ...................
[CV]  c1=2.7152898226454973, c2=0.00296333056970149, score=0.563977 -   1.5s
[CV] c1=0.27856578800127324, c2=0.031391443391974895 .................
[CV]  c1=0.27856578800127324, c2=0.031391443391974895, score=0.835289 -   1.5s
[CV] c1=0.8068378894353769, c2=0.04435856330534721 ...................
[CV]  c1=0.8068378894353769, c2=0.04435856330534721, score=0.780549 -   1.5s
[CV] c1=1.412323870795772, c2=0.009853495335469009 ...................
[CV]  c1=1.412323870795772, c2=0.009853495335469009, score=0.767661 -   1.5s
[CV] c1=0.16212380904412416, c2=0.054002149027002226 .................
[CV]  c1=0.16212380904412416, c2=0.054002149027002226, score=0.785130 -   1.6s
[CV] c1=0.7520678091891515, c2=0.164338757318189 .....................
[CV]  c1=0.7520678091891515, c2=0.164338757318189, score=0.694053 -   1.5s
[CV] c1=0.11217449404791537, c2=0.03453441784924781 ..................
[CV]  c1=0.11217449404791537, c2=0.03453441784924781, score=0.781715 -   1.6s
[CV] c1=0.2989785685500741, c2=0.038663856385073116 ..................
[CV]  c1=0.2989785685500741, c2=0.038663856385073116, score=0.699577 -   1.2s
[CV] c1=0.5866447648275678, c2=0.015428146765883617 ..................
[CV]  c1=0.5866447648275678, c2=0.015428146765883617, score=0.861239 -   1.5s
[CV] c1=0.546735904004489, c2=0.09710447179272048 ....................
[CV]  c1=0.546735904004489, c2=0.09710447179272048, score=0.833367 -   1.5s
[CV] c1=0.2803477098117216, c2=0.10069818112701674 ...................
[CV]  c1=0.2803477098117216, c2=0.10069818112701674, score=0.790465 -   1.6s
[CV] c1=1.2034439455582002, c2=0.14311605972004712 ...................
[CV]  c1=1.2034439455582002, c2=0.14311605972004712, score=0.732793 -   1.4s
[CV] c1=0.0071366018169590605, c2=0.031201712275129828 ...............
[CV]  c1=0.0071366018169590605, c2=0.031201712275129828, score=0.737350 -   1.3s
[CV] c1=0.3926596945083282, c2=0.01222612102055061 ...................
[CV]  c1=0.3926596945083282, c2=0.01222612102055061, score=0.879061 -   1.5s
[CV] c1=0.23736590423801038, c2=0.019449018120597517 .................
[CV]  c1=0.23736590423801038, c2=0.019449018120597517, score=0.863349 -   1.5s
[CV] c1=0.23516062605183924, c2=0.13881433144025296 ..................
[CV]  c1=0.23516062605183924, c2=0.13881433144025296, score=0.689544 -   1.3s
[CV] c1=0.03862011261321529, c2=0.00767759052967457 ..................
[CV]  c1=0.03862011261321529, c2=0.00767759052967457, score=0.868345 -   1.4s
[CV] c1=0.16078058852514576, c2=0.1112267410206729 ...................
[CV]  c1=0.16078058852514576, c2=0.1112267410206729, score=0.787031 -   1.7s
[CV] c1=0.5713304445278728, c2=0.01746194553504593 ...................
[CV]  c1=0.5713304445278728, c2=0.01746194553504593, score=0.785957 -   1.6s
[CV] c1=0.03222690730008687, c2=0.03579549782154897 ..................
[CV]  c1=0.03222690730008687, c2=0.03579549782154897, score=0.812131 -   1.4s
[CV] c1=0.02838930137324649, c2=0.11040986970329501 ..................
[CV]  c1=0.02838930137324649, c2=0.11040986970329501, score=0.875762 -   1.5s
[CV] c1=1.5751200166163168, c2=0.02363951551792225 ...................
[CV]  c1=1.5751200166163168, c2=0.02363951551792225, score=0.603762 -   1.6s
[CV] c1=0.45380896721154, c2=0.03301581282283355 .....................
[CV]  c1=0.45380896721154, c2=0.03301581282283355, score=0.805820 -   1.6s
[CV] c1=0.022685039779723325, c2=0.05936561012071402 .................
[CV]  c1=0.022685039779723325, c2=0.05936561012071402, score=0.878120 -   1.5s
[CV] c1=0.09707164168422479, c2=0.02399690422460596 ..................
[CV]  c1=0.09707164168422479, c2=0.02399690422460596, score=0.688646 -   1.2s
[CV] c1=0.21424417450060065, c2=0.0071789231070504035 ................
[CV]  c1=0.21424417450060065, c2=0.0071789231070504035, score=0.793890 -   1.6s
[CV] c1=0.1804257741620827, c2=0.024462784726632533 ..................
[CV]  c1=0.1804257741620827, c2=0.024462784726632533, score=0.832373 -   1.5s
[CV] c1=0.1450010892760449, c2=0.03932575967305351 ...................
[CV]  c1=0.1450010892760449, c2=0.03932575967305351, score=0.811875 -   1.6s
[CV] c1=0.010282986493093815, c2=0.03274468699878101 .................
[CV]  c1=0.010282986493093815, c2=0.03274468699878101, score=0.704234 -   1.2s
[CV] c1=0.48323052181428283, c2=0.019851606278533367 .................
[CV]  c1=0.48323052181428283, c2=0.019851606278533367, score=0.794606 -   1.9s
[CV] c1=0.11217449404791537, c2=0.03453441784924781 ..................
[CV]  c1=0.11217449404791537, c2=0.03453441784924781, score=0.691422 -   1.2s
[CV] c1=0.01196257099961101, c2=0.05133865983858234 ..................
[CV]  c1=0.01196257099961101, c2=0.05133865983858234, score=0.725485 -   1.2s
[CV] c1=0.02838930137324649, c2=0.11040986970329501 ..................
[CV]  c1=0.02838930137324649, c2=0.11040986970329501, score=0.808082 -   1.6s
[CV] c1=1.4940927614308166, c2=0.04755715021857891 ...................
[CV]  c1=1.4940927614308166, c2=0.04755715021857891, score=0.816257 -   1.5s
[CV] c1=0.6082423319750007, c2=0.03386518884697164 ...................
[CV]  c1=0.6082423319750007, c2=0.03386518884697164, score=0.804179 -   1.5s
[CV] c1=0.022685039779723325, c2=0.05936561012071402 .................
[CV]  c1=0.022685039779723325, c2=0.05936561012071402, score=0.790547 -   1.6s
[CV] c1=2.7152898226454973, c2=0.00296333056970149 ...................
[CV]  c1=2.7152898226454973, c2=0.00296333056970149, score=0.595660 -   1.5s
[CV] c1=0.27856578800127324, c2=0.031391443391974895 .................
[CV]  c1=0.27856578800127324, c2=0.031391443391974895, score=0.798834 -   1.6s
[CV] c1=0.23736590423801038, c2=0.019449018120597517 .................
[CV]  c1=0.23736590423801038, c2=0.019449018120597517, score=0.681088 -   1.2s
[CV] c1=0.09050303009930263, c2=0.011376919062801187 .................
[CV]  c1=0.09050303009930263, c2=0.011376919062801187, score=0.768028 -   1.5s
[CV] c1=0.06080938207496893, c2=0.013060148576803763 .................
[CV]  c1=0.06080938207496893, c2=0.013060148576803763, score=0.787700 -   1.6s
[CV] c1=0.25913743483588936, c2=0.03424556017491182 ..................
[CV]  c1=0.25913743483588936, c2=0.03424556017491182, score=0.830838 -   1.5s
[CV] c1=0.6373958691473455, c2=0.1342139249135402 ....................
[CV]  c1=0.6373958691473455, c2=0.1342139249135402, score=0.666918 -   1.2s
[CV] c1=0.21876680369900037, c2=0.01448079821120813 ..................
[CV]  c1=0.21876680369900037, c2=0.01448079821120813, score=0.823785 -   1.6s
[CV] c1=0.3482549288060025, c2=0.04162636071346842 ...................
[CV]  c1=0.3482549288060025, c2=0.04162636071346842, score=0.821183 -   1.6s
[CV] c1=0.21615683025438026, c2=0.08344011791173625 ..................
[CV]  c1=0.21615683025438026, c2=0.08344011791173625, score=0.792808 -   1.5s
[CV] c1=0.7804950024316997, c2=0.029189962842512747 ..................
[CV]  c1=0.7804950024316997, c2=0.029189962842512747, score=0.657018 -   1.2s
[CV] c1=0.022685039779723325, c2=0.05936561012071402 .................
[CV]  c1=0.022685039779723325, c2=0.05936561012071402, score=0.834752 -   1.5s
[CV] c1=0.09707164168422479, c2=0.02399690422460596 ..................
[CV]  c1=0.09707164168422479, c2=0.02399690422460596, score=0.782360 -   1.6s
[CV] c1=0.27856578800127324, c2=0.031391443391974895 .................
[CV]  c1=0.27856578800127324, c2=0.031391443391974895, score=0.812821 -   1.6s
[CV] c1=0.23736590423801038, c2=0.019449018120597517 .................
[CV]  c1=0.23736590423801038, c2=0.019449018120597517, score=0.821444 -   1.5s
[CV] c1=0.23516062605183924, c2=0.13881433144025296 ..................
[CV]  c1=0.23516062605183924, c2=0.13881433144025296, score=0.802078 -   1.3s
[CV] c1=0.2544781445753282, c2=0.06975357264467005 ...................
[CV]  c1=0.2544781445753282, c2=0.06975357264467005, score=0.811525 -   1.4s
[CV] c1=0.48323052181428283, c2=0.019851606278533367 .................
[CV]  c1=0.48323052181428283, c2=0.019851606278533367, score=0.806076 -   1.4s
[CV] c1=0.16643367730363873, c2=0.028855432135868483 .................
[CV]  c1=0.16643367730363873, c2=0.028855432135868483, score=0.823735 -   1.6s
[CV] c1=0.01196257099961101, c2=0.05133865983858234 ..................
[CV]  c1=0.01196257099961101, c2=0.05133865983858234, score=0.878120 -   1.6s
[CV] c1=0.3482549288060025, c2=0.04162636071346842 ...................
[CV]  c1=0.3482549288060025, c2=0.04162636071346842, score=0.755375 -   1.6s
[CV] c1=0.21615683025438026, c2=0.08344011791173625 ..................
[CV]  c1=0.21615683025438026, c2=0.08344011791173625, score=0.873711 -   1.6s
[CV] c1=0.7804950024316997, c2=0.029189962842512747 ..................
[CV]  c1=0.7804950024316997, c2=0.029189962842512747, score=0.696148 -   1.6s
[CV] c1=0.25329242527467244, c2=0.006012108703712775 .................
[CV]  c1=0.25329242527467244, c2=0.006012108703712775, score=0.802727 -   1.7s
[CV] c1=0.11375468701217502, c2=0.04648383161616079 ..................
[CV]  c1=0.11375468701217502, c2=0.04648383161616079, score=0.882754 -   1.5s
[CV] c1=0.07031783696023794, c2=0.0675205275422686 ...................
[CV]  c1=0.07031783696023794, c2=0.0675205275422686, score=0.715406 -   1.3s
[CV] c1=0.0795506850288996, c2=0.0764622329744973 ....................
[CV]  c1=0.0795506850288996, c2=0.0764622329744973, score=0.879412 -   1.5s
[CV] c1=0.7339556643117122, c2=0.1128139396919668 ....................
[CV]  c1=0.7339556643117122, c2=0.1128139396919668, score=0.654763 -   1.3s
[CV] c1=0.03862011261321529, c2=0.00767759052967457 ..................
[CV]  c1=0.03862011261321529, c2=0.00767759052967457, score=0.780996 -   1.6s
[CV] c1=0.48323052181428283, c2=0.019851606278533367 .................
[CV]  c1=0.48323052181428283, c2=0.019851606278533367, score=0.759317 -   1.7s
[CV] c1=0.8073982406469783, c2=0.0486531550679955 ....................
[CV]  c1=0.8073982406469783, c2=0.0486531550679955, score=0.690289 -   1.6s
[CV] c1=0.422663266934568, c2=0.08006700331211714 ....................
[CV]  c1=0.422663266934568, c2=0.08006700331211714, score=0.873827 -   1.6s
[CV] c1=0.6493769802036019, c2=0.01831715676191443 ...................
[CV]  c1=0.6493769802036019, c2=0.01831715676191443, score=0.773548 -   1.5s
[CV] c1=0.21615683025438026, c2=0.08344011791173625 ..................
[CV]  c1=0.21615683025438026, c2=0.08344011791173625, score=0.811525 -   1.6s
[CV] c1=0.2803477098117216, c2=0.10069818112701674 ...................
[CV]  c1=0.2803477098117216, c2=0.10069818112701674, score=0.685539 -   1.3s
[CV] c1=0.25329242527467244, c2=0.006012108703712775 .................
[CV]  c1=0.25329242527467244, c2=0.006012108703712775, score=0.695973 -   1.3s
[CV] c1=0.09707164168422479, c2=0.02399690422460596 ..................
[CV]  c1=0.09707164168422479, c2=0.02399690422460596, score=0.789428 -   1.5s
[CV] c1=0.14917309200417395, c2=0.03743599826455451 ..................
[CV]  c1=0.14917309200417395, c2=0.03743599826455451, score=0.822513 -   1.5s
[CV] c1=0.21047644386534628, c2=0.032533881040727346 .................
[CV]  c1=0.21047644386534628, c2=0.032533881040727346, score=0.807541 -   1.6s
[CV] c1=1.412323870795772, c2=0.009853495335469009 ...................
[CV]  c1=1.412323870795772, c2=0.009853495335469009, score=0.621442 -   1.6s
[CV] c1=0.6059356538728049, c2=0.03717717023950646 ...................
[CV]  c1=0.6059356538728049, c2=0.03717717023950646, score=0.805165 -   1.5s
[CV] c1=0.48323052181428283, c2=0.019851606278533367 .................
[CV]  c1=0.48323052181428283, c2=0.019851606278533367, score=0.720947 -   1.2s
[CV] c1=0.5713304445278728, c2=0.01746194553504593 ...................
[CV]  c1=0.5713304445278728, c2=0.01746194553504593, score=0.737438 -   1.6s
[CV] c1=0.03222690730008687, c2=0.03579549782154897 ..................
[CV]  c1=0.03222690730008687, c2=0.03579549782154897, score=0.880721 -   1.5s
[CV] c1=0.02838930137324649, c2=0.11040986970329501 ..................
[CV]  c1=0.02838930137324649, c2=0.11040986970329501, score=0.733373 -   1.2s
[CV] c1=0.03792652980525441, c2=0.06175179164400947 ..................
[CV]  c1=0.03792652980525441, c2=0.06175179164400947, score=0.878120 -   1.6s
[CV] c1=0.5958286633121188, c2=0.02027773198026364 ...................
[CV]  c1=0.5958286633121188, c2=0.02027773198026364, score=0.825998 -   1.5s
[CV] c1=0.3556875910810544, c2=0.05353519287746805 ...................
[CV]  c1=0.3556875910810544, c2=0.05353519287746805, score=0.776341 -   1.6s
[CV] c1=0.6703824613947087, c2=0.10604398210568117 ...................
[CV]  c1=0.6703824613947087, c2=0.10604398210568117, score=0.852834 -   1.6s
[CV] c1=0.568770701113226, c2=0.010275299162847508 ...................
[CV]  c1=0.568770701113226, c2=0.010275299162847508, score=0.781519 -   1.7s
[CV] c1=0.21047644386534628, c2=0.032533881040727346 .................
[CV]  c1=0.21047644386534628, c2=0.032533881040727346, score=0.797994 -   1.6s
[CV] c1=1.412323870795772, c2=0.009853495335469009 ...................
[CV]  c1=1.412323870795772, c2=0.009853495335469009, score=0.564277 -   1.5s
[CV] c1=0.6059356538728049, c2=0.03717717023950646 ...................
[CV]  c1=0.6059356538728049, c2=0.03717717023950646, score=0.703807 -   1.3s
[CV] c1=0.37853862579163455, c2=0.17056372679716697 ..................
[CV]  c1=0.37853862579163455, c2=0.17056372679716697, score=0.856535 -   1.4s
[CV] c1=0.5713304445278728, c2=0.01746194553504593 ...................
[CV]  c1=0.5713304445278728, c2=0.01746194553504593, score=0.824620 -   1.5s
[CV] c1=1.6070817714210806, c2=0.11534165018718573 ...................
[CV]  c1=1.6070817714210806, c2=0.11534165018718573, score=0.537128 -   1.3s
[CV] c1=0.4021554796323508, c2=0.012075725302900518 ..................
[CV]  c1=0.4021554796323508, c2=0.012075725302900518, score=0.865731 -   1.6s
[CV] c1=0.5466135133412834, c2=0.02634703805521335 ...................
[CV]  c1=0.5466135133412834, c2=0.02634703805521335, score=0.698300 -   1.2s
[CV] c1=1.1824644626317158, c2=0.05975051519344912 ...................
[CV]  c1=1.1824644626317158, c2=0.05975051519344912, score=0.636318 -   1.3s
[CV] c1=0.2803477098117216, c2=0.10069818112701674 ...................
[CV]  c1=0.2803477098117216, c2=0.10069818112701674, score=0.867080 -   1.5s
[CV] c1=1.2034439455582002, c2=0.14311605972004712 ...................
[CV]  c1=1.2034439455582002, c2=0.14311605972004712, score=0.587896 -   1.2s
[CV] c1=2.7152898226454973, c2=0.00296333056970149 ...................
[CV]  c1=2.7152898226454973, c2=0.00296333056970149, score=0.488954 -   1.6s
[CV] c1=0.3926596945083282, c2=0.01222612102055061 ...................
[CV]  c1=0.3926596945083282, c2=0.01222612102055061, score=0.718144 -   1.2s
[CV] c1=0.8068378894353769, c2=0.04435856330534721 ...................
[CV]  c1=0.8068378894353769, c2=0.04435856330534721, score=0.690009 -   1.2s
[CV] c1=0.09050303009930263, c2=0.011376919062801187 .................
[CV]  c1=0.09050303009930263, c2=0.011376919062801187, score=0.879550 -   1.6s
[CV] c1=0.3697783240694128, c2=0.038177067146600296 ..................
[CV]  c1=0.3697783240694128, c2=0.038177067146600296, score=0.830545 -   1.4s
[CV] c1=0.8944349478548007, c2=0.019569643089900512 ..................
[CV]  c1=0.8944349478548007, c2=0.019569643089900512, score=0.782501 -   1.4s
[CV] c1=0.22581558363046442, c2=0.07766166771780159 ..................
[CV]  c1=0.22581558363046442, c2=0.07766166771780159, score=0.790517 -   1.6s
[CV] c1=0.2428426100098983, c2=0.01857649771321082 ...................
[CV]  c1=0.2428426100098983, c2=0.01857649771321082, score=0.891421 -   1.5s
[CV] c1=0.4021554796323508, c2=0.012075725302900518 ..................
[CV]  c1=0.4021554796323508, c2=0.012075725302900518, score=0.722476 -   1.2s
[CV] c1=0.10341733170917823, c2=0.10601120255154345 ..................
[CV]  c1=0.10341733170917823, c2=0.10601120255154345, score=0.807541 -   1.7s
[CV] c1=0.0446992220911316, c2=0.0910360272430232 ....................
[CV]  c1=0.0446992220911316, c2=0.0910360272430232, score=0.884798 -   1.5s
[CV] c1=0.5792404709516087, c2=0.017207984517367363 ..................
[CV]  c1=0.5792404709516087, c2=0.017207984517367363, score=0.737438 -   1.8s
[CV] c1=1.1726984562054434, c2=0.06730839425539295 ...................
[CV]  c1=1.1726984562054434, c2=0.06730839425539295, score=0.646771 -   1.7s
[CV] c1=0.14917309200417395, c2=0.03743599826455451 ..................
[CV]  c1=0.14917309200417395, c2=0.03743599826455451, score=0.877300 -   1.6s
[CV] c1=0.21047644386534628, c2=0.032533881040727346 .................
[CV]  c1=0.21047644386534628, c2=0.032533881040727346, score=0.822513 -   1.5s
[CV] c1=1.412323870795772, c2=0.009853495335469009 ...................
[CV]  c1=1.412323870795772, c2=0.009853495335469009, score=0.798062 -   1.6s
[CV] c1=0.06080938207496893, c2=0.013060148576803763 .................
[CV]  c1=0.06080938207496893, c2=0.013060148576803763, score=0.804212 -   1.5s
[CV] c1=0.45866253752834213, c2=0.02362983554369971 ..................
[CV]  c1=0.45866253752834213, c2=0.02362983554369971, score=0.816717 -   1.5s
[CV] c1=0.8073982406469783, c2=0.0486531550679955 ....................
[CV]  c1=0.8073982406469783, c2=0.0486531550679955, score=0.657018 -   1.3s
[CV] c1=0.21876680369900037, c2=0.01448079821120813 ..................
[CV]  c1=0.21876680369900037, c2=0.01448079821120813, score=0.880350 -   1.5s
[CV] c1=0.21136359495397825, c2=0.16797570803176087 ..................
[CV]  c1=0.21136359495397825, c2=0.16797570803176087, score=0.689544 -   1.2s
[CV] c1=1.5751200166163168, c2=0.02363951551792225 ...................
[CV]  c1=1.5751200166163168, c2=0.02363951551792225, score=0.576668 -   1.3s
[CV] c1=0.5958286633121188, c2=0.02027773198026364 ...................
[CV]  c1=0.5958286633121188, c2=0.02027773198026364, score=0.853756 -   1.5s
[CV] c1=0.3556875910810544, c2=0.05353519287746805 ...................
[CV]  c1=0.3556875910810544, c2=0.05353519287746805, score=0.868723 -   1.5s
[CV] c1=1.1726984562054434, c2=0.06730839425539295 ...................
[CV]  c1=1.1726984562054434, c2=0.06730839425539295, score=0.615247 -   1.3s
[CV] c1=0.18137650302820651, c2=0.09080150014379303 ..................
[CV]  c1=0.18137650302820651, c2=0.09080150014379303, score=0.697731 -   1.2s
[CV] c1=0.19720365935681022, c2=0.011494996513072403 .................
[CV]  c1=0.19720365935681022, c2=0.011494996513072403, score=0.847336 -   1.6s
[CV] c1=0.55180051618144, c2=0.043047775619849446 ....................
[CV]  c1=0.55180051618144, c2=0.043047775619849446, score=0.698300 -   1.2s
[CV] c1=0.7339556643117122, c2=0.1128139396919668 ....................
[CV]  c1=0.7339556643117122, c2=0.1128139396919668, score=0.865251 -   1.4s
[CV] c1=0.3697783240694128, c2=0.038177067146600296 ..................
[CV]  c1=0.3697783240694128, c2=0.038177067146600296, score=0.799420 -   1.5s
[CV] c1=0.16078058852514576, c2=0.1112267410206729 ...................
[CV]  c1=0.16078058852514576, c2=0.1112267410206729, score=0.797273 -   1.5s
[CV] c1=0.11738562858928656, c2=0.0550483103003892 ...................
[CV]  c1=0.11738562858928656, c2=0.0550483103003892, score=0.781715 -   1.6s
[CV] c1=1.6070817714210806, c2=0.11534165018718573 ...................
[CV]  c1=1.6070817714210806, c2=0.11534165018718573, score=0.603762 -   1.7s
[CV] c1=0.02838930137324649, c2=0.11040986970329501 ..................
[CV]  c1=0.02838930137324649, c2=0.11040986970329501, score=0.813923 -   1.5s
[CV] c1=1.5751200166163168, c2=0.02363951551792225 ...................
[CV]  c1=1.5751200166163168, c2=0.02363951551792225, score=0.716501 -   1.5s
[CV] c1=0.45380896721154, c2=0.03301581282283355 .....................
[CV]  c1=0.45380896721154, c2=0.03301581282283355, score=0.778524 -   1.8s
[CV] c1=0.6660305756702616, c2=0.03801888360018453 ...................
[CV]  c1=0.6660305756702616, c2=0.03801888360018453, score=0.842562 -   1.7s
[CV] c1=0.11296032605014049, c2=0.022227748203532863 .................
[CV]  c1=0.11296032605014049, c2=0.022227748203532863, score=0.882754 -   1.6s
[CV] c1=0.3926596945083282, c2=0.01222612102055061 ...................
[CV]  c1=0.3926596945083282, c2=0.01222612102055061, score=0.771487 -   1.6s
[CV] c1=0.0795506850288996, c2=0.0764622329744973 ....................
[CV]  c1=0.0795506850288996, c2=0.0764622329744973, score=0.708449 -   1.3s
[CV] c1=0.23516062605183924, c2=0.13881433144025296 ..................
[CV]  c1=0.23516062605183924, c2=0.13881433144025296, score=0.884252 -   1.5s
[CV] c1=0.2544781445753282, c2=0.06975357264467005 ...................
[CV]  c1=0.2544781445753282, c2=0.06975357264467005, score=0.790517 -   1.5s
[CV] c1=0.45866253752834213, c2=0.02362983554369971 ..................
[CV]  c1=0.45866253752834213, c2=0.02362983554369971, score=0.719612 -   1.2s
[CV] c1=0.0445289702870665, c2=0.011471149164595832 ..................
[CV]  c1=0.0445289702870665, c2=0.011471149164595832, score=0.720211 -   1.2s
[CV] c1=0.2428426100098983, c2=0.01857649771321082 ...................
[CV]  c1=0.2428426100098983, c2=0.01857649771321082, score=0.847968 -   1.5s
[CV] c1=0.4021554796323508, c2=0.012075725302900518 ..................
[CV]  c1=0.4021554796323508, c2=0.012075725302900518, score=0.803975 -   1.7s
[CV] c1=0.03792652980525441, c2=0.06175179164400947 ..................
[CV]  c1=0.03792652980525441, c2=0.06175179164400947, score=0.816145 -   1.5s
[CV] c1=0.5958286633121188, c2=0.02027773198026364 ...................
[CV]  c1=0.5958286633121188, c2=0.02027773198026364, score=0.719011 -   1.5s
[CV] c1=0.3556875910810544, c2=0.05353519287746805 ...................
[CV]  c1=0.3556875910810544, c2=0.05353519287746805, score=0.802767 -   1.5s
[CV] c1=1.1726984562054434, c2=0.06730839425539295 ...................
[CV]  c1=1.1726984562054434, c2=0.06730839425539295, score=0.561230 -   1.6s
[CV] c1=0.568770701113226, c2=0.010275299162847508 ...................
[CV]  c1=0.568770701113226, c2=0.010275299162847508, score=0.752259 -   1.5s
[CV] c1=0.1804257741620827, c2=0.024462784726632533 ..................
[CV]  c1=0.1804257741620827, c2=0.024462784726632533, score=0.797994 -   1.7s
[CV] c1=0.09050303009930263, c2=0.011376919062801187 .................
[CV]  c1=0.09050303009930263, c2=0.011376919062801187, score=0.821341 -   1.6s
[CV] c1=2.3616241904947666, c2=0.03718989257855039 ...................
[CV]  c1=2.3616241904947666, c2=0.03718989257855039, score=0.595991 -   1.5s
[CV] c1=0.37853862579163455, c2=0.17056372679716697 ..................
[CV]  c1=0.37853862579163455, c2=0.17056372679716697, score=0.778531 -   1.5s
[CV] c1=0.5713304445278728, c2=0.01746194553504593 ...................
[CV]  c1=0.5713304445278728, c2=0.01746194553504593, score=0.795496 -   1.5s
[CV] c1=1.6070817714210806, c2=0.11534165018718573 ...................
[CV]  c1=1.6070817714210806, c2=0.11534165018718573, score=0.554860 -   1.6s
[CV] c1=0.21136359495397825, c2=0.16797570803176087 ..................
[CV]  c1=0.21136359495397825, c2=0.16797570803176087, score=0.880127 -   1.5s
[CV] c1=1.4940927614308166, c2=0.04755715021857891 ...................
[CV]  c1=1.4940927614308166, c2=0.04755715021857891, score=0.688723 -   1.5s
[CV] c1=0.1397392200197607, c2=0.047367540446401374 ..................
[CV]  c1=0.1397392200197607, c2=0.047367540446401374, score=0.882754 -   1.6s
[CV] c1=0.6660305756702616, c2=0.03801888360018453 ...................
[CV]  c1=0.6660305756702616, c2=0.03801888360018453, score=0.781519 -   1.6s
[CV] c1=0.11296032605014049, c2=0.022227748203532863 .................
[CV]  c1=0.11296032605014049, c2=0.022227748203532863, score=0.823735 -   1.6s
[CV] c1=0.3926596945083282, c2=0.01222612102055061 ...................
[CV]  c1=0.3926596945083282, c2=0.01222612102055061, score=0.826871 -   1.7s
[CV] c1=0.0795506850288996, c2=0.0764622329744973 ....................
[CV]  c1=0.0795506850288996, c2=0.0764622329744973, score=0.790547 -   1.6s
[CV] c1=0.8346298519563908, c2=0.013054212331373076 ..................
[CV]  c1=0.8346298519563908, c2=0.013054212331373076, score=0.688848 -   1.2s
[CV] c1=0.16212380904412416, c2=0.054002149027002226 .................
[CV]  c1=0.16212380904412416, c2=0.054002149027002226, score=0.889183 -   1.6s
[CV] c1=0.7520678091891515, c2=0.164338757318189 .....................
[CV]  c1=0.7520678091891515, c2=0.164338757318189, score=0.610273 -   1.2s
[CV] c1=0.8073982406469783, c2=0.0486531550679955 ....................
[CV]  c1=0.8073982406469783, c2=0.0486531550679955, score=0.796807 -   1.5s
[CV] c1=0.01196257099961101, c2=0.05133865983858234 ..................
[CV]  c1=0.01196257099961101, c2=0.05133865983858234, score=0.827696 -   1.5s
[CV] c1=0.3482549288060025, c2=0.04162636071346842 ...................
[CV]  c1=0.3482549288060025, c2=0.04162636071346842, score=0.791955 -   1.5s
[CV] c1=0.332951156272704, c2=0.02807717866471864 ....................
[CV]  c1=0.332951156272704, c2=0.02807717866471864, score=0.803524 -   1.6s
[CV] c1=0.7804950024316997, c2=0.029189962842512747 ..................
[CV]  c1=0.7804950024316997, c2=0.029189962842512747, score=0.794855 -   1.5s
[CV] c1=0.25329242527467244, c2=0.006012108703712775 .................
[CV]  c1=0.25329242527467244, c2=0.006012108703712775, score=0.833283 -   1.5s
[CV] c1=0.11296032605014049, c2=0.022227748203532863 .................
[CV]  c1=0.11296032605014049, c2=0.022227748203532863, score=0.800760 -   1.5s
[CV] c1=0.3926596945083282, c2=0.01222612102055061 ...................
[CV]  c1=0.3926596945083282, c2=0.01222612102055061, score=0.815306 -   1.5s
[CV] c1=0.23736590423801038, c2=0.019449018120597517 .................
[CV]  c1=0.23736590423801038, c2=0.019449018120597517, score=0.831348 -   1.4s
[CV] c1=0.23516062605183924, c2=0.13881433144025296 ..................
[CV]  c1=0.23516062605183924, c2=0.13881433144025296, score=0.790465 -   1.5s
[CV] c1=2.3616241904947666, c2=0.03718989257855039 ...................
[CV]  c1=2.3616241904947666, c2=0.03718989257855039, score=0.504647 -   1.6s
[CV] c1=0.8874507366205167, c2=0.04958836435662082 ...................
[CV]  c1=0.8874507366205167, c2=0.04958836435662082, score=0.775232 -   1.5s
[CV] c1=0.0445289702870665, c2=0.011471149164595832 ..................
[CV]  c1=0.0445289702870665, c2=0.011471149164595832, score=0.795358 -   1.6s
[CV] c1=0.21876680369900037, c2=0.01448079821120813 ..................
[CV]  c1=0.21876680369900037, c2=0.01448079821120813, score=0.843783 -   1.5s
[CV] c1=0.3482549288060025, c2=0.04162636071346842 ...................
[CV]  c1=0.3482549288060025, c2=0.04162636071346842, score=0.879291 -   1.6s
[CV] c1=0.332951156272704, c2=0.02807717866471864 ....................
[CV]  c1=0.332951156272704, c2=0.02807717866471864, score=0.779628 -   1.6s
[CV] c1=0.7804950024316997, c2=0.029189962842512747 ..................
[CV]  c1=0.7804950024316997, c2=0.029189962842512747, score=0.834146 -   1.6s
[CV] c1=0.25329242527467244, c2=0.006012108703712775 .................
[CV]  c1=0.25329242527467244, c2=0.006012108703712775, score=0.809158 -   1.6s
[CV] c1=0.0071366018169590605, c2=0.031201712275129828 ...............
[CV]  c1=0.0071366018169590605, c2=0.031201712275129828, score=0.886696 -   1.5s
[CV] c1=0.19720365935681022, c2=0.011494996513072403 .................
[CV]  c1=0.19720365935681022, c2=0.011494996513072403, score=0.706415 -   1.2s
[CV] c1=0.8068378894353769, c2=0.04435856330534721 ...................
[CV]  c1=0.8068378894353769, c2=0.04435856330534721, score=0.697147 -   1.7s
[CV] c1=0.23516062605183924, c2=0.13881433144025296 ..................
[CV]  c1=0.23516062605183924, c2=0.13881433144025296, score=0.806902 -   1.5s
[CV] c1=0.3697783240694128, c2=0.038177067146600296 ..................
[CV]  c1=0.3697783240694128, c2=0.038177067146600296, score=0.703909 -   1.2s
[CV] c1=0.8944349478548007, c2=0.019569643089900512 ..................
[CV]  c1=0.8944349478548007, c2=0.019569643089900512, score=0.833166 -   1.7s
[CV] c1=0.22581558363046442, c2=0.07766166771780159 ..................
[CV]  c1=0.22581558363046442, c2=0.07766166771780159, score=0.807511 -   1.6s
[CV] c1=0.2428426100098983, c2=0.01857649771321082 ...................
[CV]  c1=0.2428426100098983, c2=0.01857649771321082, score=0.681088 -   1.3s
[CV] c1=0.2989785685500741, c2=0.038663856385073116 ..................
[CV]  c1=0.2989785685500741, c2=0.038663856385073116, score=0.786377 -   1.7s
[CV] c1=0.5466135133412834, c2=0.02634703805521335 ...................
[CV]  c1=0.5466135133412834, c2=0.02634703805521335, score=0.795506 -   1.5s
[CV] c1=0.0446992220911316, c2=0.0910360272430232 ....................
[CV]  c1=0.0446992220911316, c2=0.0910360272430232, score=0.816145 -   1.6s
[CV] c1=0.3556875910810544, c2=0.05353519287746805 ...................
[CV]  c1=0.3556875910810544, c2=0.05353519287746805, score=0.681088 -   1.3s
[CV] c1=1.199338058147204, c2=0.005192471852316979 ...................
[CV]  c1=1.199338058147204, c2=0.005192471852316979, score=0.644180 -   1.2s
[CV] c1=0.11375468701217502, c2=0.04648383161616079 ..................
[CV]  c1=0.11375468701217502, c2=0.04648383161616079, score=0.691678 -   1.3s
[CV] c1=0.19720365935681022, c2=0.011494996513072403 .................
[CV]  c1=0.19720365935681022, c2=0.011494996513072403, score=0.869263 -   1.4s
[CV] c1=0.23736590423801038, c2=0.019449018120597517 .................
[CV]  c1=0.23736590423801038, c2=0.019449018120597517, score=0.806749 -   1.6s
[CV] c1=0.7339556643117122, c2=0.1128139396919668 ....................
[CV]  c1=0.7339556643117122, c2=0.1128139396919668, score=0.769029 -   1.4s
[CV] c1=0.3697783240694128, c2=0.038177067146600296 ..................
[CV]  c1=0.3697783240694128, c2=0.038177067146600296, score=0.760848 -   1.5s
[CV] c1=0.16078058852514576, c2=0.1112267410206729 ...................
[CV]  c1=0.16078058852514576, c2=0.1112267410206729, score=0.792808 -   1.6s
[CV] c1=0.5713304445278728, c2=0.01746194553504593 ...................
[CV]  c1=0.5713304445278728, c2=0.01746194553504593, score=0.694203 -   1.2s
[CV] c1=0.9185287933708295, c2=0.0162608955002464 ....................
[CV]  c1=0.9185287933708295, c2=0.0162608955002464, score=0.782501 -   1.5s
[CV] c1=0.2989785685500741, c2=0.038663856385073116 ..................
[CV]  c1=0.2989785685500741, c2=0.038663856385073116, score=0.810052 -   1.6s
[CV] c1=0.5466135133412834, c2=0.02634703805521335 ...................
[CV]  c1=0.5466135133412834, c2=0.02634703805521335, score=0.730003 -   1.6s
[CV] c1=0.5958286633121188, c2=0.02027773198026364 ...................
[CV]  c1=0.5958286633121188, c2=0.02027773198026364, score=0.716614 -   1.2s
[CV] c1=0.5792404709516087, c2=0.017207984517367363 ..................
[CV]  c1=0.5792404709516087, c2=0.017207984517367363, score=0.861239 -   1.7s
[CV] c1=1.199338058147204, c2=0.005192471852316979 ...................
[CV]  c1=1.199338058147204, c2=0.005192471852316979, score=0.771420 -   1.4s
[CV] c1=0.18137650302820651, c2=0.09080150014379303 ..................
[CV]  c1=0.18137650302820651, c2=0.09080150014379303, score=0.793428 -   1.6s
[CV] c1=0.47849668587066785, c2=0.009988770401590503 .................
[CV]  c1=0.47849668587066785, c2=0.009988770401590503, score=0.716614 -   1.2s
[CV] c1=0.15518396002301416, c2=0.08776978858808249 ..................
[CV]  c1=0.15518396002301416, c2=0.08776978858808249, score=0.693876 -   1.2s
[CV] c1=0.8346298519563908, c2=0.013054212331373076 ..................
[CV]  c1=0.8346298519563908, c2=0.013054212331373076, score=0.837898 -   1.4s
[CV] c1=0.2544781445753282, c2=0.06975357264467005 ...................
[CV]  c1=0.2544781445753282, c2=0.06975357264467005, score=0.818351 -   1.6s
[CV] c1=0.45866253752834213, c2=0.02362983554369971 ..................
[CV]  c1=0.45866253752834213, c2=0.02362983554369971, score=0.797231 -   1.6s
[CV] c1=0.6373958691473455, c2=0.1342139249135402 ....................
[CV]  c1=0.6373958691473455, c2=0.1342139249135402, score=0.697589 -   1.7s
[CV] c1=0.26564860313679384, c2=0.011321791845827017 .................
[CV]  c1=0.26564860313679384, c2=0.011321791845827017, score=0.815043 -   1.5s
[CV] c1=0.5866447648275678, c2=0.015428146765883617 ..................
[CV]  c1=0.5866447648275678, c2=0.015428146765883617, score=0.732238 -   1.6s
[CV] c1=0.546735904004489, c2=0.09710447179272048 ....................
[CV]  c1=0.546735904004489, c2=0.09710447179272048, score=0.781519 -   1.7s
[CV] c1=0.24274637561419665, c2=0.020416112638347975 .................
[CV]  c1=0.24274637561419665, c2=0.020416112638347975, score=0.815574 -   1.6s
[CV] c1=0.7826724756824776, c2=0.0009111337885994368 .................
[CV]  c1=0.7826724756824776, c2=0.0009111337885994368, score=0.816213 -   1.6s
[CV] c1=0.18137650302820651, c2=0.09080150014379303 ..................
[CV]  c1=0.18137650302820651, c2=0.09080150014379303, score=0.884565 -   1.5s
[CV] c1=0.14239912680956432, c2=0.10574915860590775 ..................
[CV]  c1=0.14239912680956432, c2=0.10574915860590775, score=0.698009 -   1.2s
[CV] c1=0.55180051618144, c2=0.043047775619849446 ....................
[CV]  c1=0.55180051618144, c2=0.043047775619849446, score=0.861239 -   1.6s
[CV] c1=0.8346298519563908, c2=0.013054212331373076 ..................
[CV]  c1=0.8346298519563908, c2=0.013054212331373076, score=0.782501 -   1.3s
[CV] c1=0.03862011261321529, c2=0.00767759052967457 ..................
[CV]  c1=0.03862011261321529, c2=0.00767759052967457, score=0.808986 -   1.2s
[CV] c1=0.16078058852514576, c2=0.1112267410206729 ...................
[CV]  c1=0.16078058852514576, c2=0.1112267410206729, score=0.878821 -   1.4s
[CV] c1=0.11738562858928656, c2=0.0550483103003892 ...................
[CV]  c1=0.11738562858928656, c2=0.0550483103003892, score=0.875094 -   1.5s
[CV] c1=0.9185287933708295, c2=0.0162608955002464 ....................
[CV]  c1=0.9185287933708295, c2=0.0162608955002464, score=0.690860 -   1.6s
[CV] c1=0.4021554796323508, c2=0.012075725302900518 ..................
[CV]  c1=0.4021554796323508, c2=0.012075725302900518, score=0.771539 -   1.6s
[CV] c1=0.03792652980525441, c2=0.06175179164400947 ..................
[CV]  c1=0.03792652980525441, c2=0.06175179164400947, score=0.719083 -   1.2s
[CV] c1=1.1824644626317158, c2=0.05975051519344912 ...................
[CV]  c1=1.1824644626317158, c2=0.05975051519344912, score=0.573401 -   1.5s
[CV] c1=0.5792404709516087, c2=0.017207984517367363 ..................
[CV]  c1=0.5792404709516087, c2=0.017207984517367363, score=0.716614 -   1.2s
[CV] c1=1.2034439455582002, c2=0.14311605972004712 ...................
[CV]  c1=1.2034439455582002, c2=0.14311605972004712, score=0.571432 -   1.6s
[CV] c1=0.11375468701217502, c2=0.04648383161616079 ..................
[CV]  c1=0.11375468701217502, c2=0.04648383161616079, score=0.823735 -   1.6s
[CV] c1=0.14239912680956432, c2=0.10574915860590775 ..................
[CV]  c1=0.14239912680956432, c2=0.10574915860590775, score=0.880643 -   1.5s
[CV] c1=0.15518396002301416, c2=0.08776978858808249 ..................
[CV]  c1=0.15518396002301416, c2=0.08776978858808249, score=0.880643 -   1.5s
[CV] c1=0.2643900161999591, c2=0.0861755083761943 ....................
[CV]  c1=0.2643900161999591, c2=0.0861755083761943, score=0.684873 -   1.2s
[CV] c1=0.06080938207496893, c2=0.013060148576803763 .................
[CV]  c1=0.06080938207496893, c2=0.013060148576803763, score=0.884124 -   1.5s
[CV] c1=0.45866253752834213, c2=0.02362983554369971 ..................
[CV]  c1=0.45866253752834213, c2=0.02362983554369971, score=0.869940 -   1.5s
[CV] c1=0.8073982406469783, c2=0.0486531550679955 ....................
[CV]  c1=0.8073982406469783, c2=0.0486531550679955, score=0.858693 -   1.5s
[CV] c1=0.01196257099961101, c2=0.05133865983858234 ..................
[CV]  c1=0.01196257099961101, c2=0.05133865983858234, score=0.828882 -   1.5s
[CV] c1=0.3482549288060025, c2=0.04162636071346842 ...................
[CV]  c1=0.3482549288060025, c2=0.04162636071346842, score=0.703909 -   1.3s
[CV] c1=1.5751200166163168, c2=0.02363951551792225 ...................
[CV]  c1=1.5751200166163168, c2=0.02363951551792225, score=0.539595 -   1.6s
[CV] c1=0.6082423319750007, c2=0.03386518884697164 ...................
[CV]  c1=0.6082423319750007, c2=0.03386518884697164, score=0.703807 -   1.2s
[CV] c1=0.3556875910810544, c2=0.05353519287746805 ...................
[CV]  c1=0.3556875910810544, c2=0.05353519287746805, score=0.807806 -   1.6s
[CV] c1=0.6703824613947087, c2=0.10604398210568117 ...................
[CV]  c1=0.6703824613947087, c2=0.10604398210568117, score=0.772889 -   1.4s
[CV] c1=0.568770701113226, c2=0.010275299162847508 ...................
[CV]  c1=0.568770701113226, c2=0.010275299162847508, score=0.861239 -   1.5s
[CV] c1=0.1804257741620827, c2=0.024462784726632533 ..................
[CV]  c1=0.1804257741620827, c2=0.024462784726632533, score=0.666958 -   1.2s
[CV] c1=0.18921456274394427, c2=0.08084766785445435 ..................
[CV]  c1=0.18921456274394427, c2=0.08084766785445435, score=0.880248 -   1.5s
[CV] c1=0.10979796536706792, c2=0.005933566109332422 .................
[CV]  c1=0.10979796536706792, c2=0.005933566109332422, score=0.699291 -   1.0s
[CV] c1=0.2544781445753282, c2=0.06975357264467005 ...................
[CV]  c1=0.2544781445753282, c2=0.06975357264467005, score=0.867282 -   1.4s
[CV] c1=0.8874507366205167, c2=0.04958836435662082 ...................
[CV]  c1=0.8874507366205167, c2=0.04958836435662082, score=0.671243 -   1.2s
[CV] c1=0.11738562858928656, c2=0.0550483103003892 ...................
[CV]  c1=0.11738562858928656, c2=0.0550483103003892, score=0.807541 -   1.6s
[CV] c1=0.2428426100098983, c2=0.01857649771321082 ...................
[CV]  c1=0.2428426100098983, c2=0.01857649771321082, score=0.814329 -   1.6s
[CV] c1=0.14794526354386, c2=0.013345509310352416 ....................
[CV]  c1=0.14794526354386, c2=0.013345509310352416, score=0.679619 -   1.2s
[CV] c1=0.10341733170917823, c2=0.10601120255154345 ..................
[CV]  c1=0.10341733170917823, c2=0.10601120255154345, score=0.790547 -   1.6s
[CV] c1=0.0446992220911316, c2=0.0910360272430232 ....................
[CV]  c1=0.0446992220911316, c2=0.0910360272430232, score=0.716219 -   1.2s
[CV] c1=0.24274637561419665, c2=0.020416112638347975 .................
[CV]  c1=0.24274637561419665, c2=0.020416112638347975, score=0.877300 -   1.5s
[CV] c1=0.7826724756824776, c2=0.0009111337885994368 .................
[CV]  c1=0.7826724756824776, c2=0.0009111337885994368, score=0.860673 -   1.4s
[CV] c1=0.0071366018169590605, c2=0.031201712275129828 ...............
[CV]  c1=0.0071366018169590605, c2=0.031201712275129828, score=0.825246 -   1.4s
[CV] c1=0.19720365935681022, c2=0.011494996513072403 .................
[CV]  c1=0.19720365935681022, c2=0.011494996513072403, score=0.833794 -   1.4s
[CV] c1=0.0795506850288996, c2=0.0764622329744973 ....................
[CV]  c1=0.0795506850288996, c2=0.0764622329744973, score=0.810402 -   1.5s
[CV] c1=0.7339556643117122, c2=0.1128139396919668 ....................
[CV]  c1=0.7339556643117122, c2=0.1128139396919668, score=0.700970 -   1.5s
[CV] c1=0.010282986493093815, c2=0.03274468699878101 .................
[CV]  c1=0.010282986493093815, c2=0.03274468699878101, score=0.890767 -   1.5s
[CV] c1=0.25913743483588936, c2=0.03424556017491182 ..................
[CV]  c1=0.25913743483588936, c2=0.03424556017491182, score=0.798834 -   1.5s
[CV] c1=0.6373958691473455, c2=0.1342139249135402 ....................
[CV]  c1=0.6373958691473455, c2=0.1342139249135402, score=0.772889 -   1.5s
[CV] c1=0.422663266934568, c2=0.08006700331211714 ....................
[CV]  c1=0.422663266934568, c2=0.08006700331211714, score=0.786746 -   1.5s
[CV] c1=0.6493769802036019, c2=0.01831715676191443 ...................
[CV]  c1=0.6493769802036019, c2=0.01831715676191443, score=0.785506 -   1.6s
[CV] c1=0.546735904004489, c2=0.09710447179272048 ....................
[CV]  c1=0.546735904004489, c2=0.09710447179272048, score=0.758083 -   1.4s
[CV] c1=0.7804950024316997, c2=0.029189962842512747 ..................
[CV]  c1=0.7804950024316997, c2=0.029189962842512747, score=0.687038 -   1.7s
[CV] c1=0.7826724756824776, c2=0.0009111337885994368 .................
[CV]  c1=0.7826724756824776, c2=0.0009111337885994368, score=0.707478 -   1.2s
[CV] c1=0.11296032605014049, c2=0.022227748203532863 .................
[CV]  c1=0.11296032605014049, c2=0.022227748203532863, score=0.787787 -   1.6s
[CV] c1=0.19720365935681022, c2=0.011494996513072403 .................
[CV]  c1=0.19720365935681022, c2=0.011494996513072403, score=0.815574 -   1.6s
[CV] c1=0.0795506850288996, c2=0.0764622329744973 ....................
[CV]  c1=0.0795506850288996, c2=0.0764622329744973, score=0.812131 -   1.5s
[CV] c1=0.7339556643117122, c2=0.1128139396919668 ....................
[CV]  c1=0.7339556643117122, c2=0.1128139396919668, score=0.692858 -   1.5s
[CV] c1=0.03862011261321529, c2=0.00767759052967457 ..................
[CV]  c1=0.03862011261321529, c2=0.00767759052967457, score=0.815307 -   1.6s
[CV] c1=0.8874507366205167, c2=0.04958836435662082 ...................
[CV]  c1=0.8874507366205167, c2=0.04958836435662082, score=0.694848 -   1.7s
[CV] c1=0.16643367730363873, c2=0.028855432135868483 .................
[CV]  c1=0.16643367730363873, c2=0.028855432135868483, score=0.800438 -   1.6s
[CV] c1=0.01196257099961101, c2=0.05133865983858234 ..................
[CV]  c1=0.01196257099961101, c2=0.05133865983858234, score=0.801980 -   1.6s
[CV] c1=0.6493769802036019, c2=0.01831715676191443 ...................
[CV]  c1=0.6493769802036019, c2=0.01831715676191443, score=0.719428 -   1.6s
[CV] c1=0.21615683025438026, c2=0.08344011791173625 ..................
[CV]  c1=0.21615683025438026, c2=0.08344011791173625, score=0.787031 -   1.7s
[CV] c1=0.2803477098117216, c2=0.10069818112701674 ...................
[CV]  c1=0.2803477098117216, c2=0.10069818112701674, score=0.802078 -   1.5s
[CV] c1=1.2034439455582002, c2=0.14311605972004712 ...................
[CV]  c1=1.2034439455582002, c2=0.14311605972004712, score=0.628999 -   1.6s
[CV] c1=0.0071366018169590605, c2=0.031201712275129828 ...............
[CV]  c1=0.0071366018169590605, c2=0.031201712275129828, score=0.787077 -   1.6s
[CV] c1=0.07031783696023794, c2=0.0675205275422686 ...................
[CV]  c1=0.07031783696023794, c2=0.0675205275422686, score=0.810402 -   1.5s
[CV] c1=0.55180051618144, c2=0.043047775619849446 ....................
[CV]  c1=0.55180051618144, c2=0.043047775619849446, score=0.752074 -   1.6s
[CV] c1=0.8346298519563908, c2=0.013054212331373076 ..................
[CV]  c1=0.8346298519563908, c2=0.013054212331373076, score=0.675423 -   1.3s
[CV] c1=0.010282986493093815, c2=0.03274468699878101 .................
[CV]  c1=0.010282986493093815, c2=0.03274468699878101, score=0.843908 -   1.6s
[CV] c1=0.7520678091891515, c2=0.164338757318189 .....................
[CV]  c1=0.7520678091891515, c2=0.164338757318189, score=0.672848 -   1.6s
[CV] c1=0.11217449404791537, c2=0.03453441784924781 ..................
[CV]  c1=0.11217449404791537, c2=0.03453441784924781, score=0.822513 -   1.4s
[CV] c1=0.26564860313679384, c2=0.011321791845827017 .................
[CV]  c1=0.26564860313679384, c2=0.011321791845827017, score=0.815028 -   1.5s
[CV] c1=0.5866447648275678, c2=0.015428146765883617 ..................
[CV]  c1=0.5866447648275678, c2=0.015428146765883617, score=0.716614 -   1.2s
[CV] c1=0.332951156272704, c2=0.02807717866471864 ....................
[CV]  c1=0.332951156272704, c2=0.02807717866471864, score=0.703909 -   1.2s
[CV] c1=0.45380896721154, c2=0.03301581282283355 .....................
[CV]  c1=0.45380896721154, c2=0.03301581282283355, score=0.715280 -   1.2s
[CV] c1=0.5792404709516087, c2=0.017207984517367363 ..................
[CV]  c1=0.5792404709516087, c2=0.017207984517367363, score=0.781519 -   1.5s
[CV] c1=1.1726984562054434, c2=0.06730839425539295 ...................
[CV]  c1=1.1726984562054434, c2=0.06730839425539295, score=0.815990 -   1.5s
[CV] c1=0.21424417450060065, c2=0.0071789231070504035 ................
[CV]  c1=0.21424417450060065, c2=0.0071789231070504035, score=0.815574 -   1.5s
[CV] c1=0.47849668587066785, c2=0.009988770401590503 .................
[CV]  c1=0.47849668587066785, c2=0.009988770401590503, score=0.773509 -   1.6s
[CV] c1=0.18921456274394427, c2=0.08084766785445435 ..................
[CV]  c1=0.18921456274394427, c2=0.08084766785445435, score=0.809446 -   1.4s
[CV] c1=0.10979796536706792, c2=0.005933566109332422 .................
[CV]  c1=0.10979796536706792, c2=0.005933566109332422, score=0.797099 -   1.1s
[CV] c1=0.03862011261321529, c2=0.00767759052967457 ..................
[CV]  c1=0.03862011261321529, c2=0.00767759052967457, score=0.710380 -   1.3s
[CV] c1=0.8944349478548007, c2=0.019569643089900512 ..................
[CV]  c1=0.8944349478548007, c2=0.019569643089900512, score=0.687038 -   1.5s
[CV] c1=0.11738562858928656, c2=0.0550483103003892 ...................
[CV]  c1=0.11738562858928656, c2=0.0550483103003892, score=0.698428 -   1.1s
[CV] c1=0.9185287933708295, c2=0.0162608955002464 ....................
[CV]  c1=0.9185287933708295, c2=0.0162608955002464, score=0.683447 -   1.6s
[CV] c1=0.2989785685500741, c2=0.038663856385073116 ..................
[CV]  c1=0.2989785685500741, c2=0.038663856385073116, score=0.804186 -   1.5s
[CV] c1=0.10341733170917823, c2=0.10601120255154345 ..................
[CV]  c1=0.10341733170917823, c2=0.10601120255154345, score=0.814489 -   1.5s
[CV] c1=1.1824644626317158, c2=0.05975051519344912 ...................
[CV]  c1=1.1824644626317158, c2=0.05975051519344912, score=0.743709 -   1.5s
[CV] c1=0.24274637561419665, c2=0.020416112638347975 .................
[CV]  c1=0.24274637561419665, c2=0.020416112638347975, score=0.826878 -   1.5s
[CV] c1=0.7826724756824776, c2=0.0009111337885994368 .................
[CV]  c1=0.7826724756824776, c2=0.0009111337885994368, score=0.780506 -   1.4s
[CV] c1=0.11375468701217502, c2=0.04648383161616079 ..................
[CV]  c1=0.11375468701217502, c2=0.04648383161616079, score=0.812131 -   1.5s
[CV] c1=0.07031783696023794, c2=0.0675205275422686 ...................
[CV]  c1=0.07031783696023794, c2=0.0675205275422686, score=0.785017 -   1.6s
[CV] c1=0.15518396002301416, c2=0.08776978858808249 ..................
[CV]  c1=0.15518396002301416, c2=0.08776978858808249, score=0.803659 -   1.5s
[CV] c1=0.2643900161999591, c2=0.0861755083761943 ....................
[CV]  c1=0.2643900161999591, c2=0.0861755083761943, score=0.807511 -   1.3s
[CV] c1=0.2544781445753282, c2=0.06975357264467005 ...................
[CV]  c1=0.2544781445753282, c2=0.06975357264467005, score=0.689871 -   1.2s
[CV] c1=0.37853862579163455, c2=0.17056372679716697 ..................
[CV]  c1=0.37853862579163455, c2=0.17056372679716697, score=0.668661 -   1.2s
[CV] c1=0.22581558363046442, c2=0.07766166771780159 ..................
[CV]  c1=0.22581558363046442, c2=0.07766166771780159, score=0.814722 -   1.6s
[CV] c1=0.2428426100098983, c2=0.01857649771321082 ...................
[CV]  c1=0.2428426100098983, c2=0.01857649771321082, score=0.805250 -   1.5s
[CV] c1=0.4021554796323508, c2=0.012075725302900518 ..................
[CV]  c1=0.4021554796323508, c2=0.012075725302900518, score=0.811913 -   1.4s
[CV] c1=0.5466135133412834, c2=0.02634703805521335 ...................
[CV]  c1=0.5466135133412834, c2=0.02634703805521335, score=0.870044 -   1.5s
[CV] c1=0.0446992220911316, c2=0.0910360272430232 ....................
[CV]  c1=0.0446992220911316, c2=0.0910360272430232, score=0.817867 -   1.6s
[CV] c1=0.5792404709516087, c2=0.017207984517367363 ..................
[CV]  c1=0.5792404709516087, c2=0.017207984517367363, score=0.792390 -   1.5s
[CV] c1=1.199338058147204, c2=0.005192471852316979 ...................
[CV]  c1=1.199338058147204, c2=0.005192471852316979, score=0.639460 -   1.5s
[CV] c1=0.21424417450060065, c2=0.0071789231070504035 ................
[CV]  c1=0.21424417450060065, c2=0.0071789231070504035, score=0.883777 -   1.5s
[CV] c1=0.47849668587066785, c2=0.009988770401590503 .................
[CV]  c1=0.47849668587066785, c2=0.009988770401590503, score=0.866157 -   1.6s
[CV] c1=0.18921456274394427, c2=0.08084766785445435 ..................
[CV]  c1=0.18921456274394427, c2=0.08084766785445435, score=0.689871 -   1.2s
[CV] c1=0.2643900161999591, c2=0.0861755083761943 ....................
[CV]  c1=0.2643900161999591, c2=0.0861755083761943, score=0.863515 -   1.3s
[CV] c1=0.010282986493093815, c2=0.03274468699878101 .................
[CV]  c1=0.010282986493093815, c2=0.03274468699878101, score=0.821232 -   1.4s
[CV] c1=0.25913743483588936, c2=0.03424556017491182 ..................
[CV]  c1=0.25913743483588936, c2=0.03424556017491182, score=0.681088 -   1.2s
[CV] c1=0.16643367730363873, c2=0.028855432135868483 .................
[CV]  c1=0.16643367730363873, c2=0.028855432135868483, score=0.850291 -   1.4s
[CV] c1=0.21876680369900037, c2=0.01448079821120813 ..................
[CV]  c1=0.21876680369900037, c2=0.01448079821120813, score=0.705737 -   1.2s
[CV] c1=0.14794526354386, c2=0.013345509310352416 ....................
[CV]  c1=0.14794526354386, c2=0.013345509310352416, score=0.823735 -   1.5s
[CV] c1=0.03792652980525441, c2=0.06175179164400947 ..................
[CV]  c1=0.03792652980525441, c2=0.06175179164400947, score=0.834752 -   1.6s
[CV] c1=0.5958286633121188, c2=0.02027773198026364 ...................
[CV]  c1=0.5958286633121188, c2=0.02027773198026364, score=0.787663 -   1.6s
[CV] c1=0.617151230471866, c2=0.014642995982772836 ...................
[CV]  c1=0.617151230471866, c2=0.014642995982772836, score=0.716614 -   1.2s
[CV] c1=1.199338058147204, c2=0.005192471852316979 ...................
[CV]  c1=1.199338058147204, c2=0.005192471852316979, score=0.654388 -   1.6s
[CV] c1=0.21424417450060065, c2=0.0071789231070504035 ................
[CV]  c1=0.21424417450060065, c2=0.0071789231070504035, score=0.699291 -   1.2s
[CV] c1=0.07031783696023794, c2=0.0675205275422686 ...................
[CV]  c1=0.07031783696023794, c2=0.0675205275422686, score=0.812131 -   1.5s
[CV] c1=0.55180051618144, c2=0.043047775619849446 ....................
[CV]  c1=0.55180051618144, c2=0.043047775619849446, score=0.781519 -   1.6s
[CV] c1=0.2643900161999591, c2=0.0861755083761943 ....................
[CV]  c1=0.2643900161999591, c2=0.0861755083761943, score=0.791137 -   1.3s
[CV] c1=0.010282986493093815, c2=0.03274468699878101 .................
[CV]  c1=0.010282986493093815, c2=0.03274468699878101, score=0.834752 -   1.6s
[CV] c1=0.25913743483588936, c2=0.03424556017491182 ..................
[CV]  c1=0.25913743483588936, c2=0.03424556017491182, score=0.804066 -   1.8s
[CV] c1=0.11217449404791537, c2=0.03453441784924781 ..................
[CV]  c1=0.11217449404791537, c2=0.03453441784924781, score=0.823735 -   1.5s
[CV] c1=0.26564860313679384, c2=0.011321791845827017 .................
[CV]  c1=0.26564860313679384, c2=0.011321791845827017, score=0.803524 -   1.6s
[CV] c1=0.10341733170917823, c2=0.10601120255154345 ..................
[CV]  c1=0.10341733170917823, c2=0.10601120255154345, score=0.876009 -   1.5s
[CV] c1=1.1824644626317158, c2=0.05975051519344912 ...................
[CV]  c1=1.1824644626317158, c2=0.05975051519344912, score=0.818652 -   1.5s
[CV] c1=0.2803477098117216, c2=0.10069818112701674 ...................
[CV]  c1=0.2803477098117216, c2=0.10069818112701674, score=0.780115 -   1.6s
[CV] c1=0.7826724756824776, c2=0.0009111337885994368 .................
[CV]  c1=0.7826724756824776, c2=0.0009111337885994368, score=0.700462 -   1.6s
[CV] c1=0.11375468701217502, c2=0.04648383161616079 ..................
[CV]  c1=0.11375468701217502, c2=0.04648383161616079, score=0.785017 -   1.6s
[CV] c1=0.14239912680956432, c2=0.10574915860590775 ..................
[CV]  c1=0.14239912680956432, c2=0.10574915860590775, score=0.795701 -   1.5s
[CV] c1=0.15518396002301416, c2=0.08776978858808249 ..................
[CV]  c1=0.15518396002301416, c2=0.08776978858808249, score=0.817922 -   1.6s
[CV] c1=0.10979796536706792, c2=0.005933566109332422 .................
[CV]  c1=0.10979796536706792, c2=0.005933566109332422, score=0.818484 -   1.2s
[CV] c1=0.6059356538728049, c2=0.03717717023950646 ...................
[CV]  c1=0.6059356538728049, c2=0.03717717023950646, score=0.833367 -   1.4s
[CV] c1=0.37853862579163455, c2=0.17056372679716697 ..................
[CV]  c1=0.37853862579163455, c2=0.17056372679716697, score=0.750868 -   1.6s
[CV] c1=0.0445289702870665, c2=0.011471149164595832 ..................
[CV]  c1=0.0445289702870665, c2=0.011471149164595832, score=0.816726 -   1.4s
[CV] c1=0.03222690730008687, c2=0.03579549782154897 ..................
[CV]  c1=0.03222690730008687, c2=0.03579549782154897, score=0.707524 -   1.3s
[CV] c1=0.14794526354386, c2=0.013345509310352416 ....................
[CV]  c1=0.14794526354386, c2=0.013345509310352416, score=0.882831 -   1.5s
[CV] c1=0.5466135133412834, c2=0.02634703805521335 ...................
[CV]  c1=0.5466135133412834, c2=0.02634703805521335, score=0.781519 -   1.6s
[CV] c1=0.0446992220911316, c2=0.0910360272430232 ....................
[CV]  c1=0.0446992220911316, c2=0.0910360272430232, score=0.784475 -   1.7s
[CV] c1=0.617151230471866, c2=0.014642995982772836 ...................
[CV]  c1=0.617151230471866, c2=0.014642995982772836, score=0.861239 -   1.5s
[CV] c1=0.6703824613947087, c2=0.10604398210568117 ...................
[CV]  c1=0.6703824613947087, c2=0.10604398210568117, score=0.672254 -   1.2s
[CV] c1=0.18137650302820651, c2=0.09080150014379303 ..................
[CV]  c1=0.18137650302820651, c2=0.09080150014379303, score=0.811850 -   1.6s
[CV] c1=0.47849668587066785, c2=0.009988770401590503 .................
[CV]  c1=0.47849668587066785, c2=0.009988770401590503, score=0.807189 -   1.5s
[CV] c1=0.18921456274394427, c2=0.08084766785445435 ..................
[CV]  c1=0.18921456274394427, c2=0.08084766785445435, score=0.781501 -   1.6s
[CV] c1=0.5693367686920755, c2=0.1226549785981779 ....................
[CV]  c1=0.5693367686920755, c2=0.1226549785981779, score=0.665411 -   0.9s
[CV] c1=0.06080938207496893, c2=0.013060148576803763 .................
[CV]  c1=0.06080938207496893, c2=0.013060148576803763, score=0.697438 -   1.2s
[CV] c1=0.37853862579163455, c2=0.17056372679716697 ..................
[CV]  c1=0.37853862579163455, c2=0.17056372679716697, score=0.794017 -   1.5s
[CV] c1=0.0445289702870665, c2=0.011471149164595832 ..................
[CV]  c1=0.0445289702870665, c2=0.011471149164595832, score=0.882075 -   1.5s
[CV] c1=0.03222690730008687, c2=0.03579549782154897 ..................
[CV]  c1=0.03222690730008687, c2=0.03579549782154897, score=0.831741 -   1.5s
[CV] c1=0.02838930137324649, c2=0.11040986970329501 ..................
[CV]  c1=0.02838930137324649, c2=0.11040986970329501, score=0.790547 -   1.6s
[CV] c1=1.4940927614308166, c2=0.04755715021857891 ...................
[CV]  c1=1.4940927614308166, c2=0.04755715021857891, score=0.576668 -   1.2s
[CV] c1=0.45380896721154, c2=0.03301581282283355 .....................
[CV]  c1=0.45380896721154, c2=0.03301581282283355, score=0.875619 -   1.5s
[CV] c1=0.617151230471866, c2=0.014642995982772836 ...................
[CV]  c1=0.617151230471866, c2=0.014642995982772836, score=0.729586 -   1.6s
[CV] c1=0.09707164168422479, c2=0.02399690422460596 ..................
[CV]  c1=0.09707164168422479, c2=0.02399690422460596, score=0.877695 -   1.6s
[CV] c1=0.14917309200417395, c2=0.03743599826455451 ..................
[CV]  c1=0.14917309200417395, c2=0.03743599826455451, score=0.687737 -   1.2s
[CV] c1=0.1804257741620827, c2=0.024462784726632533 ..................
[CV]  c1=0.1804257741620827, c2=0.024462784726632533, score=0.887994 -   1.5s
[CV] c1=0.1450010892760449, c2=0.03932575967305351 ...................
[CV]  c1=0.1450010892760449, c2=0.03932575967305351, score=0.691678 -   1.3s
[CV] c1=0.10979796536706792, c2=0.005933566109332422 .................
[CV]  c1=0.10979796536706792, c2=0.005933566109332422, score=0.868425 -   1.2s
[CV] c1=2.3616241904947666, c2=0.03718989257855039 ...................
[CV]  c1=2.3616241904947666, c2=0.03718989257855039, score=0.585064 -   1.6s
[CV] c1=0.8874507366205167, c2=0.04958836435662082 ...................
[CV]  c1=0.8874507366205167, c2=0.04958836435662082, score=0.677066 -   1.6s
[CV] c1=0.16643367730363873, c2=0.028855432135868483 .................
[CV]  c1=0.16643367730363873, c2=0.028855432135868483, score=0.669217 -   1.2s
[CV] c1=1.6070817714210806, c2=0.11534165018718573 ...................
[CV]  c1=1.6070817714210806, c2=0.11534165018718573, score=0.631240 -   1.5s
[CV] c1=0.14794526354386, c2=0.013345509310352416 ....................
[CV]  c1=0.14794526354386, c2=0.013345509310352416, score=0.811875 -   1.5s
[CV] c1=0.03792652980525441, c2=0.06175179164400947 ..................
[CV]  c1=0.03792652980525441, c2=0.06175179164400947, score=0.794131 -   1.7s
[CV] c1=0.6082423319750007, c2=0.03386518884697164 ...................
[CV]  c1=0.6082423319750007, c2=0.03386518884697164, score=0.839796 -   1.5s
[CV] c1=0.022685039779723325, c2=0.05936561012071402 .................
[CV]  c1=0.022685039779723325, c2=0.05936561012071402, score=0.722705 -   1.2s
[CV] c1=1.1726984562054434, c2=0.06730839425539295 ...................
[CV]  c1=1.1726984562054434, c2=0.06730839425539295, score=0.743709 -   1.5s
[CV] c1=0.21424417450060065, c2=0.0071789231070504035 ................
[CV]  c1=0.21424417450060065, c2=0.0071789231070504035, score=0.838288 -   1.5s
[CV] c1=0.47849668587066785, c2=0.009988770401590503 .................
[CV]  c1=0.47849668587066785, c2=0.009988770401590503, score=0.796957 -   1.6s
[CV] c1=0.1450010892760449, c2=0.03932575967305351 ...................
[CV]  c1=0.1450010892760449, c2=0.03932575967305351, score=0.820190 -   1.5s
[CV] c1=0.5693367686920755, c2=0.1226549785981779 ....................
[CV]  c1=0.5693367686920755, c2=0.1226549785981779, score=0.715963 -   1.1s
[CV] c1=2.3616241904947666, c2=0.03718989257855039 ...................
[CV]  c1=2.3616241904947666, c2=0.03718989257855039, score=0.775579 -   1.4s
[CV] c1=0.16078058852514576, c2=0.1112267410206729 ...................
[CV]  c1=0.16078058852514576, c2=0.1112267410206729, score=0.700901 -   1.2s
[CV] c1=0.22581558363046442, c2=0.07766166771780159 ..................
[CV]  c1=0.22581558363046442, c2=0.07766166771780159, score=0.684153 -   1.3s
[CV] c1=0.9185287933708295, c2=0.0162608955002464 ....................
[CV]  c1=0.9185287933708295, c2=0.0162608955002464, score=0.839973 -   1.5s
[CV] c1=0.2989785685500741, c2=0.038663856385073116 ..................
[CV]  c1=0.2989785685500741, c2=0.038663856385073116, score=0.870835 -   1.6s
[CV] c1=0.10341733170917823, c2=0.10601120255154345 ..................
[CV]  c1=0.10341733170917823, c2=0.10601120255154345, score=0.703147 -   1.3s
[CV] c1=0.546735904004489, c2=0.09710447179272048 ....................
[CV]  c1=0.546735904004489, c2=0.09710447179272048, score=0.730376 -   1.7s
[CV] c1=0.24274637561419665, c2=0.020416112638347975 .................
[CV]  c1=0.24274637561419665, c2=0.020416112638347975, score=0.705835 -   1.3s
[CV] c1=1.2034439455582002, c2=0.14311605972004712 ...................
[CV]  c1=1.2034439455582002, c2=0.14311605972004712, score=0.806953 -   1.6s
[CV] c1=0.0071366018169590605, c2=0.031201712275129828 ...............
[CV]  c1=0.0071366018169590605, c2=0.031201712275129828, score=0.834752 -   1.6s
[CV] c1=0.07031783696023794, c2=0.0675205275422686 ...................
[CV]  c1=0.07031783696023794, c2=0.0675205275422686, score=0.875094 -   1.6s
[CV] c1=0.55180051618144, c2=0.043047775619849446 ....................
[CV]  c1=0.55180051618144, c2=0.043047775619849446, score=0.809011 -   1.4s
[CV] c1=0.8346298519563908, c2=0.013054212331373076 ..................
[CV]  c1=0.8346298519563908, c2=0.013054212331373076, score=0.692750 -   1.5s
[CV] c1=0.16212380904412416, c2=0.054002149027002226 .................
[CV]  c1=0.16212380904412416, c2=0.054002149027002226, score=0.813940 -   1.5s
[CV] c1=0.7520678091891515, c2=0.164338757318189 .....................
[CV]  c1=0.7520678091891515, c2=0.164338757318189, score=0.860541 -   1.5s
[CV] c1=0.6373958691473455, c2=0.1342139249135402 ....................
[CV]  c1=0.6373958691473455, c2=0.1342139249135402, score=0.798793 -   1.6s
[CV] c1=0.26564860313679384, c2=0.011321791845827017 .................
[CV]  c1=0.26564860313679384, c2=0.011321791845827017, score=0.705835 -   1.3s
[CV] c1=0.6493769802036019, c2=0.01831715676191443 ...................
[CV]  c1=0.6493769802036019, c2=0.01831715676191443, score=0.846345 -   1.5s
[CV] c1=0.21615683025438026, c2=0.08344011791173625 ..................
[CV]  c1=0.21615683025438026, c2=0.08344011791173625, score=0.684873 -   1.2s
[CV] c1=0.6082423319750007, c2=0.03386518884697164 ...................
[CV]  c1=0.6082423319750007, c2=0.03386518884697164, score=0.717698 -   1.5s
[CV] c1=0.022685039779723325, c2=0.05936561012071402 .................
[CV]  c1=0.022685039779723325, c2=0.05936561012071402, score=0.825246 -   1.5s
[CV] c1=0.09707164168422479, c2=0.02399690422460596 ..................
[CV]  c1=0.09707164168422479, c2=0.02399690422460596, score=0.826016 -   1.5s
[CV] c1=0.27856578800127324, c2=0.031391443391974895 .................
[CV]  c1=0.27856578800127324, c2=0.031391443391974895, score=0.881959 -   1.4s
[CV] c1=0.21047644386534628, c2=0.032533881040727346 .................
[CV]  c1=0.21047644386534628, c2=0.032533881040727346, score=0.688066 -   1.2s
[CV] c1=0.1450010892760449, c2=0.03932575967305351 ...................
[CV]  c1=0.1450010892760449, c2=0.03932575967305351, score=0.872242 -   1.6s
[CV] c1=0.5693367686920755, c2=0.1226549785981779 ....................
[CV]  c1=0.5693367686920755, c2=0.1226549785981779, score=0.772889 -   1.1s
[CV] c1=0.3697783240694128, c2=0.038177067146600296 ..................
[CV]  c1=0.3697783240694128, c2=0.038177067146600296, score=0.838136 -   1.4s
[CV] c1=0.8944349478548007, c2=0.019569643089900512 ..................
[CV]  c1=0.8944349478548007, c2=0.019569643089900512, score=0.681320 -   1.7s
[CV] c1=0.11738562858928656, c2=0.0550483103003892 ...................
[CV]  c1=0.11738562858928656, c2=0.0550483103003892, score=0.816726 -   1.6s
[CV] c1=1.6070817714210806, c2=0.11534165018718573 ...................
[CV]  c1=1.6070817714210806, c2=0.11534165018718573, score=0.799312 -   1.6s
[CV] c1=0.14794526354386, c2=0.013345509310352416 ....................
[CV]  c1=0.14794526354386, c2=0.013345509310352416, score=0.800760 -   1.5s
[CV] c1=1.5751200166163168, c2=0.02363951551792225 ...................
[CV]  c1=1.5751200166163168, c2=0.02363951551792225, score=0.809491 -   1.6s
[CV] c1=0.45380896721154, c2=0.03301581282283355 .....................
[CV]  c1=0.45380896721154, c2=0.03301581282283355, score=0.816339 -   1.5s
[CV] c1=0.617151230471866, c2=0.014642995982772836 ...................
[CV]  c1=0.617151230471866, c2=0.014642995982772836, score=0.781519 -   1.7s
[CV] c1=2.7152898226454973, c2=0.00296333056970149 ...................
[CV]  c1=2.7152898226454973, c2=0.00296333056970149, score=0.736121 -   1.5s
[CV] c1=0.27856578800127324, c2=0.031391443391974895 .................
[CV]  c1=0.27856578800127324, c2=0.031391443391974895, score=0.681088 -   1.3s
[CV] c1=0.21047644386534628, c2=0.032533881040727346 .................
[CV]  c1=0.21047644386534628, c2=0.032533881040727346, score=0.877300 -   1.5s
[CV] c1=0.09050303009930263, c2=0.011376919062801187 .................
[CV]  c1=0.09050303009930263, c2=0.011376919062801187, score=0.684227 -   1.3s
[CV] c1=0.5693367686920755, c2=0.1226549785981779 ....................
[CV]  c1=0.5693367686920755, c2=0.1226549785981779, score=0.835168 -   1.1s
Training done in: 21.254048s
     Saving training model...
        Saving training model done in: 0.014236s
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Prediction done in: 0.035722s