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

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Run4_v10.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: Run4
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: FalseS4: False
Run variant: 10
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: 0.003691s
-------------------------------- 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   word[: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   word[:1]           d
11   word[: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=0.3470910117911111, c2=0.03991335109893534 ...................
[CV]  c1=0.3470910117911111, c2=0.03991335109893534, score=0.699577 -   1.0s
[CV] c1=0.28005651437211915, c2=0.04229413285297012 ..................
[CV]  c1=0.28005651437211915, c2=0.04229413285297012, score=0.875189 -   1.5s
[CV] c1=0.04952184713163065, c2=0.06646596631453876 ..................
[CV]  c1=0.04952184713163065, c2=0.06646596631453876, score=0.729433 -   1.4s
[CV] c1=0.3171653792102444, c2=0.05748496250124068 ...................
[CV]  c1=0.3171653792102444, c2=0.05748496250124068, score=0.881402 -   1.6s
[CV] c1=0.1159556030843896, c2=0.006709641998422443 ..................
[CV]  c1=0.1159556030843896, c2=0.006709641998422443, score=0.809947 -   1.5s
[CV] c1=0.014683119594972878, c2=0.16842473334809077 .................
[CV]  c1=0.014683119594972878, c2=0.16842473334809077, score=0.809034 -   1.6s
[CV] c1=0.2724196145259278, c2=0.17578083469290717 ...................
[CV]  c1=0.2724196145259278, c2=0.17578083469290717, score=0.766965 -   1.6s
[CV] c1=0.749264925557617, c2=0.01437312061279477 ....................
[CV]  c1=0.749264925557617, c2=0.01437312061279477, score=0.789213 -   1.7s
[CV] c1=0.5412028894529719, c2=0.17899660543516277 ...................
[CV]  c1=0.5412028894529719, c2=0.17899660543516277, score=0.794017 -   1.8s
[CV] c1=0.02564318754575967, c2=0.14307248581211238 ..................
[CV]  c1=0.02564318754575967, c2=0.14307248581211238, score=0.812633 -   1.6s
[CV] c1=0.2240135814923668, c2=0.011146693388178567 ..................
[CV]  c1=0.2240135814923668, c2=0.011146693388178567, score=0.790982 -   1.6s
[CV] c1=0.5662227489664927, c2=0.005754677131051197 ..................
[CV]  c1=0.5662227489664927, c2=0.005754677131051197, score=0.721191 -   1.2s
[CV] c1=0.713873954328252, c2=0.02719635667314815 ....................
[CV]  c1=0.713873954328252, c2=0.02719635667314815, score=0.673186 -   1.2s
[CV] c1=0.0855109219316382, c2=0.08488925717468383 ...................
[CV]  c1=0.0855109219316382, c2=0.08488925717468383, score=0.785017 -   1.6s
[CV] c1=0.13788008889709122, c2=0.006992093291245026 .................
[CV]  c1=0.13788008889709122, c2=0.006992093291245026, score=0.800760 -   1.4s
[CV] c1=1.352121398852716, c2=0.1479112783780243 .....................
[CV]  c1=1.352121398852716, c2=0.1479112783780243, score=0.732793 -   1.4s
[CV] c1=1.4148731652266529, c2=0.1747628662187567 ....................
[CV]  c1=1.4148731652266529, c2=0.1747628662187567, score=0.554311 -   1.2s
[CV] c1=0.11134781491446011, c2=0.008862030286693235 .................
[CV]  c1=0.11134781491446011, c2=0.008862030286693235, score=0.817865 -   1.5s
[CV] c1=0.05363660295635994, c2=0.09119677432969177 ..................
[CV]  c1=0.05363660295635994, c2=0.09119677432969177, score=0.881523 -   1.5s
[CV] c1=0.020611827825698904, c2=0.08532665428195474 .................
[CV]  c1=0.020611827825698904, c2=0.08532665428195474, score=0.810402 -   1.6s
[CV] c1=0.2578319461851329, c2=0.02609632723111458 ...................
[CV]  c1=0.2578319461851329, c2=0.02609632723111458, score=0.815269 -   1.6s
[CV] c1=0.9794041482839381, c2=0.03365096809768724 ...................
[CV]  c1=0.9794041482839381, c2=0.03365096809768724, score=0.653513 -   1.2s
[CV] c1=0.10327106900870416, c2=0.041252435426680126 .................
[CV]  c1=0.10327106900870416, c2=0.041252435426680126, score=0.813970 -   1.5s
[CV] c1=0.21313384069997235, c2=0.09262510450524081 ..................
[CV]  c1=0.21313384069997235, c2=0.09262510450524081, score=0.784587 -   1.6s
[CV] c1=1.8428848334806183, c2=0.0010556929126026829 .................
[CV]  c1=1.8428848334806183, c2=0.0010556929126026829, score=0.800866 -   1.5s
[CV] c1=0.08050239228994328, c2=0.004231368330993498 .................
[CV]  c1=0.08050239228994328, c2=0.004231368330993498, score=0.780996 -   1.6s
[CV] c1=0.09812502303967864, c2=0.05776601277788376 ..................
[CV]  c1=0.09812502303967864, c2=0.05776601277788376, score=0.808851 -   1.5s
[CV] c1=0.1159556030843896, c2=0.006709641998422443 ..................
[CV]  c1=0.1159556030843896, c2=0.006709641998422443, score=0.859922 -   1.5s
[CV] c1=0.014683119594972878, c2=0.16842473334809077 .................
[CV]  c1=0.014683119594972878, c2=0.16842473334809077, score=0.882191 -   1.5s
[CV] c1=0.02262080940724448, c2=0.04916388945297456 ..................
[CV]  c1=0.02262080940724448, c2=0.04916388945297456, score=0.834752 -   1.5s
[CV] c1=0.28090375013115104, c2=0.044947838325449505 .................
[CV]  c1=0.28090375013115104, c2=0.044947838325449505, score=0.812821 -   1.6s
[CV] c1=0.13515575975519534, c2=0.06445383611390927 ..................
[CV]  c1=0.13515575975519534, c2=0.06445383611390927, score=0.700872 -   1.2s
[CV] c1=0.5329459143182432, c2=0.0715829674361131 ....................
[CV]  c1=0.5329459143182432, c2=0.0715829674361131, score=0.689871 -   1.2s
[CV] c1=0.9794041482839381, c2=0.03365096809768724 ...................
[CV]  c1=0.9794041482839381, c2=0.03365096809768724, score=0.649529 -   1.6s
[CV] c1=0.28281076678710815, c2=0.008126115993909047 .................
[CV]  c1=0.28281076678710815, c2=0.008126115993909047, score=0.683013 -   1.2s
[CV] c1=0.5662227489664927, c2=0.005754677131051197 ..................
[CV]  c1=0.5662227489664927, c2=0.005754677131051197, score=0.861239 -   1.5s
[CV] c1=0.3286251296658367, c2=0.004113761259995997 ..................
[CV]  c1=0.3286251296658367, c2=0.004113761259995997, score=0.787362 -   1.5s
[CV] c1=0.08050239228994328, c2=0.004231368330993498 .................
[CV]  c1=0.08050239228994328, c2=0.004231368330993498, score=0.813191 -   1.5s
[CV] c1=0.09812502303967864, c2=0.05776601277788376 ..................
[CV]  c1=0.09812502303967864, c2=0.05776601277788376, score=0.877695 -   1.5s
[CV] c1=2.4631922123693997, c2=0.02105090317954967 ...................
[CV]  c1=2.4631922123693997, c2=0.02105090317954967, score=0.595991 -   1.6s
[CV] c1=0.06441097334306181, c2=0.08274981412464522 ..................
[CV]  c1=0.06441097334306181, c2=0.08274981412464522, score=0.790547 -   1.5s
[CV] c1=0.02262080940724448, c2=0.04916388945297456 ..................
[CV]  c1=0.02262080940724448, c2=0.04916388945297456, score=0.861155 -   1.5s
[CV] c1=0.28090375013115104, c2=0.044947838325449505 .................
[CV]  c1=0.28090375013115104, c2=0.044947838325449505, score=0.703909 -   1.3s
[CV] c1=0.14738380924647737, c2=0.12730090363385113 ..................
[CV]  c1=0.14738380924647737, c2=0.12730090363385113, score=0.793428 -   1.5s
[CV] c1=0.009586667784366308, c2=0.10597825073074069 .................
[CV]  c1=0.009586667784366308, c2=0.10597825073074069, score=0.885593 -   1.5s
[CV] c1=0.2442288011919667, c2=0.02261111523165212 ...................
[CV]  c1=0.2442288011919667, c2=0.02261111523165212, score=0.683013 -   1.2s
[CV] c1=0.04106662322769217, c2=0.02079979161812707 ..................
[CV]  c1=0.04106662322769217, c2=0.02079979161812707, score=0.878120 -   1.4s
[CV] c1=0.016440999435706934, c2=0.03904797907113168 .................
[CV]  c1=0.016440999435706934, c2=0.03904797907113168, score=0.788602 -   1.6s
[CV] c1=0.1844137949597487, c2=0.00415564023133949 ...................
[CV]  c1=0.1844137949597487, c2=0.00415564023133949, score=0.874927 -   1.6s
[CV] c1=0.0855109219316382, c2=0.08488925717468383 ...................
[CV]  c1=0.0855109219316382, c2=0.08488925717468383, score=0.766255 -   1.4s
[CV] c1=1.0110002141368792, c2=0.02510793263803356 ...................
[CV]  c1=1.0110002141368792, c2=0.02510793263803356, score=0.777169 -   1.5s
[CV] c1=0.2919700643476051, c2=0.045576565136867864 ..................
[CV]  c1=0.2919700643476051, c2=0.045576565136867864, score=0.807511 -   1.5s
[CV] c1=0.2326000118714465, c2=0.035018025659448025 ..................
[CV]  c1=0.2326000118714465, c2=0.035018025659448025, score=0.805250 -   1.6s
[CV] c1=0.4668417026324115, c2=0.2854850274743206 ....................
[CV]  c1=0.4668417026324115, c2=0.2854850274743206, score=0.656348 -   1.2s
[CV] c1=0.2860294591083142, c2=0.03169258091399065 ...................
[CV]  c1=0.2860294591083142, c2=0.03169258091399065, score=0.830838 -   1.5s
[CV] c1=0.6791163836372508, c2=0.009236184552580802 ..................
[CV]  c1=0.6791163836372508, c2=0.009236184552580802, score=0.796725 -   1.4s
[CV] c1=0.0025946937601966707, c2=0.07180096937621817 ................
[CV]  c1=0.0025946937601966707, c2=0.07180096937621817, score=0.825246 -   1.5s
[CV] c1=0.02564318754575967, c2=0.14307248581211238 ..................
[CV]  c1=0.02564318754575967, c2=0.14307248581211238, score=0.816145 -   1.5s
[CV] c1=0.10327106900870416, c2=0.041252435426680126 .................
[CV]  c1=0.10327106900870416, c2=0.041252435426680126, score=0.776501 -   1.6s
[CV] c1=0.016440999435706934, c2=0.03904797907113168 .................
[CV]  c1=0.016440999435706934, c2=0.03904797907113168, score=0.821232 -   1.6s
[CV] c1=0.051040803148721205, c2=0.07430147426016706 .................
[CV]  c1=0.051040803148721205, c2=0.07430147426016706, score=0.811185 -   1.5s
[CV] c1=0.7758310697297072, c2=0.02211502084695107 ...................
[CV]  c1=0.7758310697297072, c2=0.02211502084695107, score=0.690791 -   1.3s
[CV] c1=0.2691293785632799, c2=0.028344217102315036 ..................
[CV]  c1=0.2691293785632799, c2=0.028344217102315036, score=0.798834 -   1.6s
[CV] c1=0.5453438627032172, c2=0.025552923785401832 ..................
[CV]  c1=0.5453438627032172, c2=0.025552923785401832, score=0.824620 -   1.6s
[CV] c1=0.07395030890219287, c2=0.021195742426359587 .................
[CV]  c1=0.07395030890219287, c2=0.021195742426359587, score=0.830163 -   1.6s
[CV] c1=0.11134781491446011, c2=0.008862030286693235 .................
[CV]  c1=0.11134781491446011, c2=0.008862030286693235, score=0.885915 -   1.5s
[CV] c1=0.2860294591083142, c2=0.03169258091399065 ...................
[CV]  c1=0.2860294591083142, c2=0.03169258091399065, score=0.873367 -   1.6s
[CV] c1=0.6791163836372508, c2=0.009236184552580802 ..................
[CV]  c1=0.6791163836372508, c2=0.009236184552580802, score=0.781519 -   1.6s
[CV] c1=0.2578319461851329, c2=0.02609632723111458 ...................
[CV]  c1=0.2578319461851329, c2=0.02609632723111458, score=0.826531 -   1.5s
[CV] c1=0.9794041482839381, c2=0.03365096809768724 ...................
[CV]  c1=0.9794041482839381, c2=0.03365096809768724, score=0.833534 -   1.6s
[CV] c1=0.04106662322769217, c2=0.02079979161812707 ..................
[CV]  c1=0.04106662322769217, c2=0.02079979161812707, score=0.717450 -   1.3s
[CV] c1=0.016440999435706934, c2=0.03904797907113168 .................
[CV]  c1=0.016440999435706934, c2=0.03904797907113168, score=0.890099 -   1.5s
[CV] c1=0.1844137949597487, c2=0.00415564023133949 ...................
[CV]  c1=0.1844137949597487, c2=0.00415564023133949, score=0.819270 -   1.5s
[CV] c1=0.0855109219316382, c2=0.08488925717468383 ...................
[CV]  c1=0.0855109219316382, c2=0.08488925717468383, score=0.808082 -   1.6s
[CV] c1=0.13788008889709122, c2=0.006992093291245026 .................
[CV]  c1=0.13788008889709122, c2=0.006992093291245026, score=0.684030 -   1.2s
[CV] c1=0.7716385938399174, c2=0.005481862979406157 ..................
[CV]  c1=0.7716385938399174, c2=0.005481862979406157, score=0.781519 -   1.6s
[CV] c1=0.2326000118714465, c2=0.035018025659448025 ..................
[CV]  c1=0.2326000118714465, c2=0.035018025659448025, score=0.780657 -   1.6s
[CV] c1=0.4668417026324115, c2=0.2854850274743206 ....................
[CV]  c1=0.4668417026324115, c2=0.2854850274743206, score=0.788285 -   1.6s
[CV] c1=0.23988479828129272, c2=0.026882102120936138 .................
[CV]  c1=0.23988479828129272, c2=0.026882102120936138, score=0.837224 -   1.5s
[CV] c1=0.4550065110626027, c2=0.06994771154238986 ...................
[CV]  c1=0.4550065110626027, c2=0.06994771154238986, score=0.734455 -   1.6s
[CV] c1=0.5329459143182432, c2=0.0715829674361131 ....................
[CV]  c1=0.5329459143182432, c2=0.0715829674361131, score=0.872035 -   1.5s
[CV] c1=0.7992889407261708, c2=0.08489470320096498 ...................
[CV]  c1=0.7992889407261708, c2=0.08489470320096498, score=0.644756 -   1.2s
[CV] c1=0.28281076678710815, c2=0.008126115993909047 .................
[CV]  c1=0.28281076678710815, c2=0.008126115993909047, score=0.906426 -   1.5s
[CV] c1=0.4055634822493545, c2=0.012982757028645054 ..................
[CV]  c1=0.4055634822493545, c2=0.012982757028645054, score=0.718144 -   1.2s
[CV] c1=0.1844137949597487, c2=0.00415564023133949 ...................
[CV]  c1=0.1844137949597487, c2=0.00415564023133949, score=0.695693 -   1.2s
[CV] c1=0.7758310697297072, c2=0.02211502084695107 ...................
[CV]  c1=0.7758310697297072, c2=0.02211502084695107, score=0.782419 -   1.4s
[CV] c1=0.4949797874571482, c2=0.07915020746015955 ...................
[CV]  c1=0.4949797874571482, c2=0.07915020746015955, score=0.734455 -   1.6s
[CV] c1=0.7716385938399174, c2=0.005481862979406157 ..................
[CV]  c1=0.7716385938399174, c2=0.005481862979406157, score=0.865686 -   1.5s
[CV] c1=0.37105974225355287, c2=0.008699944148543286 .................
[CV]  c1=0.37105974225355287, c2=0.008699944148543286, score=0.789086 -   1.5s
[CV] c1=0.11134781491446011, c2=0.008862030286693235 .................
[CV]  c1=0.11134781491446011, c2=0.008862030286693235, score=0.796244 -   1.5s
[CV] c1=0.2860294591083142, c2=0.03169258091399065 ...................
[CV]  c1=0.2860294591083142, c2=0.03169258091399065, score=0.812730 -   1.6s
[CV] c1=0.020611827825698904, c2=0.08532665428195474 .................
[CV]  c1=0.020611827825698904, c2=0.08532665428195474, score=0.812131 -   1.4s
[CV] c1=0.2578319461851329, c2=0.02609632723111458 ...................
[CV]  c1=0.2578319461851329, c2=0.02609632723111458, score=0.805250 -   1.5s
[CV] c1=0.5505299533629106, c2=0.00020428667712839245 ................
[CV]  c1=0.5505299533629106, c2=0.00020428667712839245, score=0.791488 -   1.6s
[CV] c1=0.04106662322769217, c2=0.02079979161812707 ..................
[CV]  c1=0.04106662322769217, c2=0.02079979161812707, score=0.822853 -   1.5s
[CV] c1=0.5662227489664927, c2=0.005754677131051197 ..................
[CV]  c1=0.5662227489664927, c2=0.005754677131051197, score=0.814897 -   1.5s
[CV] c1=1.067907221292077, c2=0.05104189123142702 ....................
[CV]  c1=1.067907221292077, c2=0.05104189123142702, score=0.835351 -   1.6s
[CV] c1=0.017811850395264693, c2=0.014351884396512455 ................
[CV]  c1=0.017811850395264693, c2=0.014351884396512455, score=0.834061 -   1.6s
[CV] c1=1.0110002141368792, c2=0.02510793263803356 ...................
[CV]  c1=1.0110002141368792, c2=0.02510793263803356, score=0.658375 -   1.2s
[CV] c1=0.5453438627032172, c2=0.025552923785401832 ..................
[CV]  c1=0.5453438627032172, c2=0.025552923785401832, score=0.809007 -   1.6s
[CV] c1=0.37105974225355287, c2=0.008699944148543286 .................
[CV]  c1=0.37105974225355287, c2=0.008699944148543286, score=0.810701 -   1.7s
[CV] c1=0.4668417026324115, c2=0.2854850274743206 ....................
[CV]  c1=0.4668417026324115, c2=0.2854850274743206, score=0.847272 -   1.5s
[CV] c1=0.000766574274409609, c2=0.011639596535262382 ................
[CV]  c1=0.000766574274409609, c2=0.011639596535262382, score=0.871327 -   1.5s
[CV] c1=0.14738380924647737, c2=0.12730090363385113 ..................
[CV]  c1=0.14738380924647737, c2=0.12730090363385113, score=0.693677 -   1.2s
[CV] c1=0.0025946937601966707, c2=0.07180096937621817 ................
[CV]  c1=0.0025946937601966707, c2=0.07180096937621817, score=0.808052 -   1.6s
[CV] c1=0.5505299533629106, c2=0.00020428667712839245 ................
[CV]  c1=0.5505299533629106, c2=0.00020428667712839245, score=0.754607 -   1.6s
[CV] c1=0.2240135814923668, c2=0.011146693388178567 ..................
[CV]  c1=0.2240135814923668, c2=0.011146693388178567, score=0.804066 -   1.5s
[CV] c1=0.5662227489664927, c2=0.005754677131051197 ..................
[CV]  c1=0.5662227489664927, c2=0.005754677131051197, score=0.756849 -   1.5s
[CV] c1=1.8428848334806183, c2=0.0010556929126026829 .................
[CV]  c1=1.8428848334806183, c2=0.0010556929126026829, score=0.712435 -   1.4s
[CV] c1=0.8456246544187831, c2=0.026394580460576134 ..................
[CV]  c1=0.8456246544187831, c2=0.026394580460576134, score=0.675524 -   1.2s
[CV] c1=1.0110002141368792, c2=0.02510793263803356 ...................
[CV]  c1=1.0110002141368792, c2=0.02510793263803356, score=0.652617 -   1.6s
[CV] c1=1.352121398852716, c2=0.1479112783780243 .....................
[CV]  c1=1.352121398852716, c2=0.1479112783780243, score=0.624917 -   1.6s
[CV] c1=1.4148731652266529, c2=0.1747628662187567 ....................
[CV]  c1=1.4148731652266529, c2=0.1747628662187567, score=0.688926 -   1.4s
[CV] c1=0.4668417026324115, c2=0.2854850274743206 ....................
[CV]  c1=0.4668417026324115, c2=0.2854850274743206, score=0.692947 -   1.5s
[CV] c1=0.000766574274409609, c2=0.011639596535262382 ................
[CV]  c1=0.000766574274409609, c2=0.011639596535262382, score=0.817032 -   1.4s
[CV] c1=0.14738380924647737, c2=0.12730090363385113 ..................
[CV]  c1=0.14738380924647737, c2=0.12730090363385113, score=0.810476 -   1.4s
[CV] c1=0.6395799518265777, c2=0.0034885136857412064 .................
[CV]  c1=0.6395799518265777, c2=0.0034885136857412064, score=0.784870 -   1.5s
[CV] c1=0.9794041482839381, c2=0.03365096809768724 ...................
[CV]  c1=0.9794041482839381, c2=0.03365096809768724, score=0.652617 -   1.5s
[CV] c1=0.04106662322769217, c2=0.02079979161812707 ..................
[CV]  c1=0.04106662322769217, c2=0.02079979161812707, score=0.811040 -   1.5s
[CV] c1=0.4055634822493545, c2=0.012982757028645054 ..................
[CV]  c1=0.4055634822493545, c2=0.012982757028645054, score=0.879291 -   1.4s
[CV] c1=0.3286251296658367, c2=0.004113761259995997 ..................
[CV]  c1=0.3286251296658367, c2=0.004113761259995997, score=0.812398 -   1.5s
[CV] c1=0.08050239228994328, c2=0.004231368330993498 .................
[CV]  c1=0.08050239228994328, c2=0.004231368330993498, score=0.691094 -   1.2s
[CV] c1=0.11610340303841932, c2=0.03812199504315776 ..................
[CV]  c1=0.11610340303841932, c2=0.03812199504315776, score=0.826067 -   1.5s
[CV] c1=0.7716385938399174, c2=0.005481862979406157 ..................
[CV]  c1=0.7716385938399174, c2=0.005481862979406157, score=0.700462 -   1.5s
[CV] c1=0.37105974225355287, c2=0.008699944148543286 .................
[CV]  c1=0.37105974225355287, c2=0.008699944148543286, score=0.811913 -   1.5s
[CV] c1=0.11134781491446011, c2=0.008862030286693235 .................
[CV]  c1=0.11134781491446011, c2=0.008862030286693235, score=0.800438 -   1.6s
[CV] c1=0.05363660295635994, c2=0.09119677432969177 ..................
[CV]  c1=0.05363660295635994, c2=0.09119677432969177, score=0.790547 -   1.6s
[CV] c1=0.4550065110626027, c2=0.06994771154238986 ...................
[CV]  c1=0.4550065110626027, c2=0.06994771154238986, score=0.865282 -   1.5s
[CV] c1=0.009586667784366308, c2=0.10597825073074069 .................
[CV]  c1=0.009586667784366308, c2=0.10597825073074069, score=0.732246 -   1.2s
[CV] c1=0.5505299533629106, c2=0.00020428667712839245 ................
[CV]  c1=0.5505299533629106, c2=0.00020428667712839245, score=0.795990 -   1.5s
[CV] c1=0.2240135814923668, c2=0.011146693388178567 ..................
[CV]  c1=0.2240135814923668, c2=0.011146693388178567, score=0.805505 -   1.4s
[CV] c1=0.016440999435706934, c2=0.03904797907113168 .................
[CV]  c1=0.016440999435706934, c2=0.03904797907113168, score=0.834752 -   1.6s
[CV] c1=0.5115282310814802, c2=0.06689067622416868 ...................
[CV]  c1=0.5115282310814802, c2=0.06689067622416868, score=0.816803 -   1.4s
[CV] c1=0.017811850395264693, c2=0.014351884396512455 ................
[CV]  c1=0.017811850395264693, c2=0.014351884396512455, score=0.793728 -   1.6s
[CV] c1=1.0110002141368792, c2=0.02510793263803356 ...................
[CV]  c1=1.0110002141368792, c2=0.02510793263803356, score=0.721704 -   1.5s
[CV] c1=1.352121398852716, c2=0.1479112783780243 .....................
[CV]  c1=1.352121398852716, c2=0.1479112783780243, score=0.801776 -   1.7s
[CV] c1=0.06441097334306181, c2=0.08274981412464522 ..................
[CV]  c1=0.06441097334306181, c2=0.08274981412464522, score=0.871691 -   1.5s
[CV] c1=0.1483583815837606, c2=0.03661230112299967 ...................
[CV]  c1=0.1483583815837606, c2=0.03661230112299967, score=0.823735 -   1.6s
[CV] c1=0.28090375013115104, c2=0.044947838325449505 .................
[CV]  c1=0.28090375013115104, c2=0.044947838325449505, score=0.867282 -   1.5s
[CV] c1=0.20019290703791595, c2=0.034188441272407236 .................
[CV]  c1=0.20019290703791595, c2=0.034188441272407236, score=0.891421 -   1.5s
[CV] c1=0.009586667784366308, c2=0.10597825073074069 .................
[CV]  c1=0.009586667784366308, c2=0.10597825073074069, score=0.802849 -   1.6s
[CV] c1=0.7992889407261708, c2=0.08489470320096498 ...................
[CV]  c1=0.7992889407261708, c2=0.08489470320096498, score=0.674887 -   1.7s
[CV] c1=0.7421083562497381, c2=0.05641581912694524 ...................
[CV]  c1=0.7421083562497381, c2=0.05641581912694524, score=0.640748 -   1.2s
[CV] c1=1.0430380978432616, c2=0.013013559012067914 ..................
[CV]  c1=1.0430380978432616, c2=0.013013559012067914, score=0.659560 -   1.2s
[CV] c1=0.3286251296658367, c2=0.004113761259995997 ..................
[CV]  c1=0.3286251296658367, c2=0.004113761259995997, score=0.724402 -   1.3s
[CV] c1=0.017811850395264693, c2=0.014351884396512455 ................
[CV]  c1=0.017811850395264693, c2=0.014351884396512455, score=0.821232 -   1.4s
[CV] c1=0.11610340303841932, c2=0.03812199504315776 ..................
[CV]  c1=0.11610340303841932, c2=0.03812199504315776, score=0.694487 -   1.2s
[CV] c1=0.5922163123235465, c2=0.0050503850196520735 .................
[CV]  c1=0.5922163123235465, c2=0.0050503850196520735, score=0.781519 -   1.6s
[CV] c1=0.07395030890219287, c2=0.021195742426359587 .................
[CV]  c1=0.07395030890219287, c2=0.021195742426359587, score=0.884124 -   1.5s
[CV] c1=0.25932631822490215, c2=0.018026771657704745 .................
[CV]  c1=0.25932631822490215, c2=0.018026771657704745, score=0.877300 -   1.5s
[CV] c1=0.25129308786210586, c2=0.0062635036986667105 ................
[CV]  c1=0.25129308786210586, c2=0.0062635036986667105, score=0.877348 -   1.5s
[CV] c1=0.22203262879396796, c2=0.13677670249492022 ..................
[CV]  c1=0.22203262879396796, c2=0.13677670249492022, score=0.862912 -   1.5s
[CV] c1=0.04036936689291469, c2=0.06790225952072913 ..................
[CV]  c1=0.04036936689291469, c2=0.06790225952072913, score=0.719083 -   1.2s
[CV] c1=0.03433826453694907, c2=0.08950702083752687 ..................
[CV]  c1=0.03433826453694907, c2=0.08950702083752687, score=0.882191 -   1.5s
[CV] c1=0.4140742545169596, c2=0.047105168004902054 ..................
[CV]  c1=0.4140742545169596, c2=0.047105168004902054, score=0.698300 -   1.5s
[CV] c1=1.2862404468003117, c2=0.02022619330789313 ...................
[CV]  c1=1.2862404468003117, c2=0.02022619330789313, score=0.615779 -   1.2s
[CV] c1=0.027162948199619744, c2=0.19360199147863993 .................
[CV]  c1=0.027162948199619744, c2=0.19360199147863993, score=0.730014 -   1.2s
[CV] c1=0.3470910117911111, c2=0.03991335109893534 ...................
[CV]  c1=0.3470910117911111, c2=0.03991335109893534, score=0.786377 -   1.6s
[CV] c1=0.7758310697297072, c2=0.02211502084695107 ...................
[CV]  c1=0.7758310697297072, c2=0.02211502084695107, score=0.688465 -   1.7s
[CV] c1=0.11610340303841932, c2=0.03812199504315776 ..................
[CV]  c1=0.11610340303841932, c2=0.03812199504315776, score=0.816726 -   1.5s
[CV] c1=0.7716385938399174, c2=0.005481862979406157 ..................
[CV]  c1=0.7716385938399174, c2=0.005481862979406157, score=0.759199 -   1.5s
[CV] c1=0.2326000118714465, c2=0.035018025659448025 ..................
[CV]  c1=0.2326000118714465, c2=0.035018025659448025, score=0.881618 -   1.6s
[CV] c1=0.23934469107187453, c2=0.003678935129411592 .................
[CV]  c1=0.23934469107187453, c2=0.003678935129411592, score=0.821444 -   1.5s
[CV] c1=0.05363660295635994, c2=0.09119677432969177 ..................
[CV]  c1=0.05363660295635994, c2=0.09119677432969177, score=0.816145 -   1.5s
[CV] c1=0.020611827825698904, c2=0.08532665428195474 .................
[CV]  c1=0.020611827825698904, c2=0.08532665428195474, score=0.809034 -   1.6s
[CV] c1=0.6395799518265777, c2=0.0034885136857412064 .................
[CV]  c1=0.6395799518265777, c2=0.0034885136857412064, score=0.787663 -   1.6s
[CV] c1=0.2442288011919667, c2=0.02261111523165212 ...................
[CV]  c1=0.2442288011919667, c2=0.02261111523165212, score=0.837088 -   1.5s
[CV] c1=0.3777050673702827, c2=0.06629257176758296 ...................
[CV]  c1=0.3777050673702827, c2=0.06629257176758296, score=0.676755 -   1.3s
[CV] c1=0.5662227489664927, c2=0.005754677131051197 ..................
[CV]  c1=0.5662227489664927, c2=0.005754677131051197, score=0.798646 -   1.6s
[CV] c1=0.051040803148721205, c2=0.07430147426016706 .................
[CV]  c1=0.051040803148721205, c2=0.07430147426016706, score=0.810402 -   1.2s
[CV] c1=0.32616890027345447, c2=0.10306066235017464 ..................
[CV]  c1=0.32616890027345447, c2=0.10306066235017464, score=0.682789 -   1.3s
[CV] c1=0.04952184713163065, c2=0.06646596631453876 ..................
[CV]  c1=0.04952184713163065, c2=0.06646596631453876, score=0.808082 -   1.6s
[CV] c1=0.10089637910577749, c2=0.005357861926959621 .................
[CV]  c1=0.10089637910577749, c2=0.005357861926959621, score=0.822822 -   1.5s
[CV] c1=1.0163714614063044, c2=0.031361095882872746 ..................
[CV]  c1=1.0163714614063044, c2=0.031361095882872746, score=0.650476 -   1.5s
[CV] c1=0.9732542459251261, c2=0.006074661719460219 ..................
[CV]  c1=0.9732542459251261, c2=0.006074661719460219, score=0.653994 -   1.6s
[CV] c1=0.1792490675057888, c2=0.0063973303361398726 .................
[CV]  c1=0.1792490675057888, c2=0.0063973303361398726, score=0.709264 -   1.2s
[CV] c1=0.749264925557617, c2=0.01437312061279477 ....................
[CV]  c1=0.749264925557617, c2=0.01437312061279477, score=0.703197 -   1.2s
[CV] c1=0.20019290703791595, c2=0.034188441272407236 .................
[CV]  c1=0.20019290703791595, c2=0.034188441272407236, score=0.683013 -   1.2s
[CV] c1=0.6395799518265777, c2=0.0034885136857412064 .................
[CV]  c1=0.6395799518265777, c2=0.0034885136857412064, score=0.728123 -   1.6s
[CV] c1=0.2442288011919667, c2=0.02261111523165212 ...................
[CV]  c1=0.2442288011919667, c2=0.02261111523165212, score=0.891421 -   1.5s
[CV] c1=0.28281076678710815, c2=0.008126115993909047 .................
[CV]  c1=0.28281076678710815, c2=0.008126115993909047, score=0.815028 -   1.5s
[CV] c1=0.4055634822493545, c2=0.012982757028645054 ..................
[CV]  c1=0.4055634822493545, c2=0.012982757028645054, score=0.823017 -   1.5s
[CV] c1=0.3286251296658367, c2=0.004113761259995997 ..................
[CV]  c1=0.3286251296658367, c2=0.004113761259995997, score=0.811609 -   1.6s
[CV] c1=0.8456246544187831, c2=0.026394580460576134 ..................
[CV]  c1=0.8456246544187831, c2=0.026394580460576134, score=0.777169 -   1.5s
[CV] c1=0.09812502303967864, c2=0.05776601277788376 ..................
[CV]  c1=0.09812502303967864, c2=0.05776601277788376, score=0.812131 -   1.5s
[CV] c1=2.4631922123693997, c2=0.02105090317954967 ...................
[CV]  c1=2.4631922123693997, c2=0.02105090317954967, score=0.509015 -   1.6s
[CV] c1=0.014683119594972878, c2=0.16842473334809077 .................
[CV]  c1=0.014683119594972878, c2=0.16842473334809077, score=0.814184 -   1.5s
[CV] c1=0.02262080940724448, c2=0.04916388945297456 ..................
[CV]  c1=0.02262080940724448, c2=0.04916388945297456, score=0.820285 -   1.5s
[CV] c1=0.28090375013115104, c2=0.044947838325449505 .................
[CV]  c1=0.28090375013115104, c2=0.044947838325449505, score=0.792869 -   1.5s
[CV] c1=0.20019290703791595, c2=0.034188441272407236 .................
[CV]  c1=0.20019290703791595, c2=0.034188441272407236, score=0.806749 -   1.6s
[CV] c1=0.11558048542070656, c2=0.014400073763779608 .................
[CV]  c1=0.11558048542070656, c2=0.014400073763779608, score=0.823735 -   1.5s
[CV] c1=0.5590255009290254, c2=0.08148354479093985 ...................
[CV]  c1=0.5590255009290254, c2=0.08148354479093985, score=0.784626 -   1.4s
[CV] c1=0.3777050673702827, c2=0.06629257176758296 ...................
[CV]  c1=0.3777050673702827, c2=0.06629257176758296, score=0.802430 -   1.5s
[CV] c1=0.027162948199619744, c2=0.19360199147863993 .................
[CV]  c1=0.027162948199619744, c2=0.19360199147863993, score=0.882191 -   1.3s
[CV] c1=0.713873954328252, c2=0.02719635667314815 ....................
[CV]  c1=0.713873954328252, c2=0.02719635667314815, score=0.700462 -   1.6s
[CV] c1=0.04952184713163065, c2=0.06646596631453876 ..................
[CV]  c1=0.04952184713163065, c2=0.06646596631453876, score=0.881523 -   1.5s
[CV] c1=0.10089637910577749, c2=0.005357861926959621 .................
[CV]  c1=0.10089637910577749, c2=0.005357861926959621, score=0.878670 -   1.5s
[CV] c1=1.0163714614063044, c2=0.031361095882872746 ..................
[CV]  c1=1.0163714614063044, c2=0.031361095882872746, score=0.840991 -   1.5s
[CV] c1=0.9732542459251261, c2=0.006074661719460219 ..................
[CV]  c1=0.9732542459251261, c2=0.006074661719460219, score=0.836635 -   1.5s
[CV] c1=0.2724196145259278, c2=0.17578083469290717 ...................
[CV]  c1=0.2724196145259278, c2=0.17578083469290717, score=0.684789 -   1.2s
[CV] c1=0.23988479828129272, c2=0.026882102120936138 .................
[CV]  c1=0.23988479828129272, c2=0.026882102120936138, score=0.825623 -   1.6s
[CV] c1=0.20019290703791595, c2=0.034188441272407236 .................
[CV]  c1=0.20019290703791595, c2=0.034188441272407236, score=0.807541 -   1.5s
[CV] c1=0.11558048542070656, c2=0.014400073763779608 .................
[CV]  c1=0.11558048542070656, c2=0.014400073763779608, score=0.888878 -   1.5s
[CV] c1=0.5590255009290254, c2=0.08148354479093985 ...................
[CV]  c1=0.5590255009290254, c2=0.08148354479093985, score=0.663981 -   1.2s
[CV] c1=0.3777050673702827, c2=0.06629257176758296 ...................
[CV]  c1=0.3777050673702827, c2=0.06629257176758296, score=0.864625 -   1.5s
[CV] c1=1.0430380978432616, c2=0.013013559012067914 ..................
[CV]  c1=1.0430380978432616, c2=0.013013559012067914, score=0.817056 -   1.5s
[CV] c1=1.8428848334806183, c2=0.0010556929126026829 .................
[CV]  c1=1.8428848334806183, c2=0.0010556929126026829, score=0.612183 -   1.6s
[CV] c1=0.1550863442936185, c2=0.020351283674137195 ..................
[CV]  c1=0.1550863442936185, c2=0.020351283674137195, score=0.678511 -   1.2s
[CV] c1=0.13788008889709122, c2=0.006992093291245026 .................
[CV]  c1=0.13788008889709122, c2=0.006992093291245026, score=0.815574 -   1.5s
[CV] c1=2.4631922123693997, c2=0.02105090317954967 ...................
[CV]  c1=2.4631922123693997, c2=0.02105090317954967, score=0.745957 -   1.6s
[CV] c1=0.06441097334306181, c2=0.08274981412464522 ..................
[CV]  c1=0.06441097334306181, c2=0.08274981412464522, score=0.808851 -   1.5s
[CV] c1=0.1483583815837606, c2=0.03661230112299967 ...................
[CV]  c1=0.1483583815837606, c2=0.03661230112299967, score=0.815696 -   1.4s
[CV] c1=0.23988479828129272, c2=0.026882102120936138 .................
[CV]  c1=0.23988479828129272, c2=0.026882102120936138, score=0.806937 -   1.5s
[CV] c1=0.4550065110626027, c2=0.06994771154238986 ...................
[CV]  c1=0.4550065110626027, c2=0.06994771154238986, score=0.684567 -   1.3s
[CV] c1=0.6395799518265777, c2=0.0034885136857412064 .................
[CV]  c1=0.6395799518265777, c2=0.0034885136857412064, score=0.835816 -   1.6s
[CV] c1=0.9794041482839381, c2=0.03365096809768724 ...................
[CV]  c1=0.9794041482839381, c2=0.03365096809768724, score=0.777102 -   1.5s
[CV] c1=0.04106662322769217, c2=0.02079979161812707 ..................
[CV]  c1=0.04106662322769217, c2=0.02079979161812707, score=0.790144 -   1.6s
[CV] c1=0.4055634822493545, c2=0.012982757028645054 ..................
[CV]  c1=0.4055634822493545, c2=0.012982757028645054, score=0.787785 -   1.5s
[CV] c1=0.5115282310814802, c2=0.06689067622416868 ...................
[CV]  c1=0.5115282310814802, c2=0.06689067622416868, score=0.779075 -   1.8s
[CV] c1=0.8456246544187831, c2=0.026394580460576134 ..................
[CV]  c1=0.8456246544187831, c2=0.026394580460576134, score=0.677066 -   1.7s
[CV] c1=0.3171653792102444, c2=0.05748496250124068 ...................
[CV]  c1=0.3171653792102444, c2=0.05748496250124068, score=0.784101 -   1.6s
[CV] c1=0.1159556030843896, c2=0.006709641998422443 ..................
[CV]  c1=0.1159556030843896, c2=0.006709641998422443, score=0.815264 -   1.6s
[CV] c1=0.9732542459251261, c2=0.006074661719460219 ..................
[CV]  c1=0.9732542459251261, c2=0.006074661719460219, score=0.677066 -   1.7s
[CV] c1=0.2724196145259278, c2=0.17578083469290717 ...................
[CV]  c1=0.2724196145259278, c2=0.17578083469290717, score=0.812261 -   1.5s
[CV] c1=0.30444272198207234, c2=0.16108952074021207 ..................
[CV]  c1=0.30444272198207234, c2=0.16108952074021207, score=0.669410 -   1.3s
[CV] c1=0.13515575975519534, c2=0.06445383611390927 ..................
[CV]  c1=0.13515575975519534, c2=0.06445383611390927, score=0.882754 -   1.5s
[CV] c1=0.11558048542070656, c2=0.014400073763779608 .................
[CV]  c1=0.11558048542070656, c2=0.014400073763779608, score=0.679619 -   1.2s
[CV] c1=0.2442288011919667, c2=0.02261111523165212 ...................
[CV]  c1=0.2442288011919667, c2=0.02261111523165212, score=0.805250 -   1.5s
[CV] c1=0.28281076678710815, c2=0.008126115993909047 .................
[CV]  c1=0.28281076678710815, c2=0.008126115993909047, score=0.817857 -   1.6s
[CV] c1=1.0430380978432616, c2=0.013013559012067914 ..................
[CV]  c1=1.0430380978432616, c2=0.013013559012067914, score=0.777102 -   1.4s
[CV] c1=0.5115282310814802, c2=0.06689067622416868 ...................
[CV]  c1=0.5115282310814802, c2=0.06689067622416868, score=0.685902 -   1.2s
[CV] c1=0.32616890027345447, c2=0.10306066235017464 ..................
[CV]  c1=0.32616890027345447, c2=0.10306066235017464, score=0.806902 -   1.6s
[CV] c1=0.4949797874571482, c2=0.07915020746015955 ...................
[CV]  c1=0.4949797874571482, c2=0.07915020746015955, score=0.685902 -   1.3s
[CV] c1=0.5922163123235465, c2=0.0050503850196520735 .................
[CV]  c1=0.5922163123235465, c2=0.0050503850196520735, score=0.751554 -   1.6s
[CV] c1=0.7315064660272935, c2=0.005230880194301065 ..................
[CV]  c1=0.7315064660272935, c2=0.005230880194301065, score=0.773505 -   1.5s
[CV] c1=0.9729609505212734, c2=0.09585878620662079 ...................
[CV]  c1=0.9729609505212734, c2=0.09585878620662079, score=0.646771 -   1.6s
[CV] c1=0.25129308786210586, c2=0.0062635036986667105 ................
[CV]  c1=0.25129308786210586, c2=0.0062635036986667105, score=0.721799 -   1.2s
[CV] c1=0.30444272198207234, c2=0.16108952074021207 ..................
[CV]  c1=0.30444272198207234, c2=0.16108952074021207, score=0.859872 -   1.5s
[CV] c1=0.5412028894529719, c2=0.17899660543516277 ...................
[CV]  c1=0.5412028894529719, c2=0.17899660543516277, score=0.656348 -   1.2s
[CV] c1=0.5329459143182432, c2=0.0715829674361131 ....................
[CV]  c1=0.5329459143182432, c2=0.0715829674361131, score=0.759298 -   1.5s
[CV] c1=0.7992889407261708, c2=0.08489470320096498 ...................
[CV]  c1=0.7992889407261708, c2=0.08489470320096498, score=0.754723 -   1.5s
[CV] c1=0.3777050673702827, c2=0.06629257176758296 ...................
[CV]  c1=0.3777050673702827, c2=0.06629257176758296, score=0.783353 -   1.4s
[CV] c1=1.0430380978432616, c2=0.013013559012067914 ..................
[CV]  c1=1.0430380978432616, c2=0.013013559012067914, score=0.645794 -   1.4s
[CV] c1=0.713873954328252, c2=0.02719635667314815 ....................
[CV]  c1=0.713873954328252, c2=0.02719635667314815, score=0.851310 -   1.5s
[CV] c1=0.8456246544187831, c2=0.026394580460576134 ..................
[CV]  c1=0.8456246544187831, c2=0.026394580460576134, score=0.687038 -   1.6s
[CV] c1=0.3171653792102444, c2=0.05748496250124068 ...................
[CV]  c1=0.3171653792102444, c2=0.05748496250124068, score=0.820739 -   1.4s
[CV] c1=0.1159556030843896, c2=0.006709641998422443 ..................
[CV]  c1=0.1159556030843896, c2=0.006709641998422443, score=0.687080 -   1.2s
[CV] c1=1.4148731652266529, c2=0.1747628662187567 ....................
[CV]  c1=1.4148731652266529, c2=0.1747628662187567, score=0.624917 -   1.5s
[CV] c1=0.4668417026324115, c2=0.2854850274743206 ....................
[CV]  c1=0.4668417026324115, c2=0.2854850274743206, score=0.768165 -   1.5s
[CV] c1=0.000766574274409609, c2=0.011639596535262382 ................
[CV]  c1=0.000766574274409609, c2=0.011639596535262382, score=0.834752 -   1.5s
[CV] c1=0.14738380924647737, c2=0.12730090363385113 ..................
[CV]  c1=0.14738380924647737, c2=0.12730090363385113, score=0.790547 -   1.6s
[CV] c1=0.009586667784366308, c2=0.10597825073074069 .................
[CV]  c1=0.009586667784366308, c2=0.10597825073074069, score=0.822229 -   1.6s
[CV] c1=0.2442288011919667, c2=0.02261111523165212 ...................
[CV]  c1=0.2442288011919667, c2=0.02261111523165212, score=0.797994 -   1.4s
[CV] c1=0.28281076678710815, c2=0.008126115993909047 .................
[CV]  c1=0.28281076678710815, c2=0.008126115993909047, score=0.809165 -   1.4s
[CV] c1=0.4055634822493545, c2=0.012982757028645054 ..................
[CV]  c1=0.4055634822493545, c2=0.012982757028645054, score=0.805492 -   1.5s
[CV] c1=1.8428848334806183, c2=0.0010556929126026829 .................
[CV]  c1=1.8428848334806183, c2=0.0010556929126026829, score=0.554860 -   1.6s
[CV] c1=0.1550863442936185, c2=0.020351283674137195 ..................
[CV]  c1=0.1550863442936185, c2=0.020351283674137195, score=0.796266 -   1.5s
[CV] c1=0.3171653792102444, c2=0.05748496250124068 ...................
[CV]  c1=0.3171653792102444, c2=0.05748496250124068, score=0.676755 -   1.2s
[CV] c1=1.352121398852716, c2=0.1479112783780243 .....................
[CV]  c1=1.352121398852716, c2=0.1479112783780243, score=0.560602 -   1.6s
[CV] c1=0.06441097334306181, c2=0.08274981412464522 ..................
[CV]  c1=0.06441097334306181, c2=0.08274981412464522, score=0.708449 -   1.2s
[CV] c1=0.23934469107187453, c2=0.003678935129411592 .................
[CV]  c1=0.23934469107187453, c2=0.003678935129411592, score=0.798378 -   1.6s
[CV] c1=0.000766574274409609, c2=0.011639596535262382 ................
[CV]  c1=0.000766574274409609, c2=0.011639596535262382, score=0.782762 -   1.6s
[CV] c1=0.4550065110626027, c2=0.06994771154238986 ...................
[CV]  c1=0.4550065110626027, c2=0.06994771154238986, score=0.783344 -   1.5s
[CV] c1=0.009586667784366308, c2=0.10597825073074069 .................
[CV]  c1=0.009586667784366308, c2=0.10597825073074069, score=0.816145 -   1.5s
[CV] c1=0.7992889407261708, c2=0.08489470320096498 ...................
[CV]  c1=0.7992889407261708, c2=0.08489470320096498, score=0.858693 -   1.5s
[CV] c1=0.3777050673702827, c2=0.06629257176758296 ...................
[CV]  c1=0.3777050673702827, c2=0.06629257176758296, score=0.764196 -   1.5s
[CV] c1=1.0430380978432616, c2=0.013013559012067914 ..................
[CV]  c1=1.0430380978432616, c2=0.013013559012067914, score=0.649529 -   1.4s
[CV] c1=0.1844137949597487, c2=0.00415564023133949 ...................
[CV]  c1=0.1844137949597487, c2=0.00415564023133949, score=0.813750 -   1.5s
[CV] c1=0.08050239228994328, c2=0.004231368330993498 .................
[CV]  c1=0.08050239228994328, c2=0.004231368330993498, score=0.871231 -   1.6s
[CV] c1=0.13788008889709122, c2=0.006992093291245026 .................
[CV]  c1=0.13788008889709122, c2=0.006992093291245026, score=0.830062 -   1.6s
[CV] c1=2.4631922123693997, c2=0.02105090317954967 ...................
[CV]  c1=2.4631922123693997, c2=0.02105090317954967, score=0.574393 -   1.5s
[CV] c1=0.06441097334306181, c2=0.08274981412464522 ..................
[CV]  c1=0.06441097334306181, c2=0.08274981412464522, score=0.812131 -   1.5s
[CV] c1=0.1483583815837606, c2=0.03661230112299967 ...................
[CV]  c1=0.1483583815837606, c2=0.03661230112299967, score=0.779058 -   1.6s
[CV] c1=0.28090375013115104, c2=0.044947838325449505 .................
[CV]  c1=0.28090375013115104, c2=0.044947838325449505, score=0.793410 -   1.5s
[CV] c1=0.20019290703791595, c2=0.034188441272407236 .................
[CV]  c1=0.20019290703791595, c2=0.034188441272407236, score=0.847968 -   1.5s
[CV] c1=0.5329459143182432, c2=0.0715829674361131 ....................
[CV]  c1=0.5329459143182432, c2=0.0715829674361131, score=0.781519 -   1.6s
[CV] c1=0.5590255009290254, c2=0.08148354479093985 ...................
[CV]  c1=0.5590255009290254, c2=0.08148354479093985, score=0.833367 -   1.5s
[CV] c1=0.7421083562497381, c2=0.05641581912694524 ...................
[CV]  c1=0.7421083562497381, c2=0.05641581912694524, score=0.851071 -   1.6s
[CV] c1=0.027162948199619744, c2=0.19360199147863993 .................
[CV]  c1=0.027162948199619744, c2=0.19360199147863993, score=0.809895 -   1.2s
[CV] c1=0.713873954328252, c2=0.02719635667314815 ....................
[CV]  c1=0.713873954328252, c2=0.02719635667314815, score=0.781519 -   1.5s
[CV] c1=0.1550863442936185, c2=0.020351283674137195 ..................
[CV]  c1=0.1550863442936185, c2=0.020351283674137195, score=0.800438 -   1.7s
[CV] c1=0.10089637910577749, c2=0.005357861926959621 .................
[CV]  c1=0.10089637910577749, c2=0.005357861926959621, score=0.710600 -   1.1s
[CV] c1=2.4631922123693997, c2=0.02105090317954967 ...................
[CV]  c1=2.4631922123693997, c2=0.02105090317954967, score=0.507641 -   1.2s
[CV] c1=0.2326000118714465, c2=0.035018025659448025 ..................
[CV]  c1=0.2326000118714465, c2=0.035018025659448025, score=0.835289 -   1.4s
[CV] c1=0.23934469107187453, c2=0.003678935129411592 .................
[CV]  c1=0.23934469107187453, c2=0.003678935129411592, score=0.683679 -   1.2s
[CV] c1=0.25129308786210586, c2=0.0062635036986667105 ................
[CV]  c1=0.25129308786210586, c2=0.0062635036986667105, score=0.837533 -   1.4s
[CV] c1=0.22203262879396796, c2=0.13677670249492022 ..................
[CV]  c1=0.22203262879396796, c2=0.13677670249492022, score=0.689544 -   1.2s
[CV] c1=0.13515575975519534, c2=0.06445383611390927 ..................
[CV]  c1=0.13515575975519534, c2=0.06445383611390927, score=0.807541 -   1.5s
[CV] c1=0.11558048542070656, c2=0.014400073763779608 .................
[CV]  c1=0.11558048542070656, c2=0.014400073763779608, score=0.835222 -   1.5s
[CV] c1=0.4140742545169596, c2=0.047105168004902054 ..................
[CV]  c1=0.4140742545169596, c2=0.047105168004902054, score=0.878746 -   1.5s
[CV] c1=0.7421083562497381, c2=0.05641581912694524 ...................
[CV]  c1=0.7421083562497381, c2=0.05641581912694524, score=0.780549 -   1.4s
[CV] c1=0.027162948199619744, c2=0.19360199147863993 .................
[CV]  c1=0.027162948199619744, c2=0.19360199147863993, score=0.812633 -   1.3s
[CV] c1=1.8428848334806183, c2=0.0010556929126026829 .................
[CV]  c1=1.8428848334806183, c2=0.0010556929126026829, score=0.523464 -   1.3s
[CV] c1=0.0855109219316382, c2=0.08488925717468383 ...................
[CV]  c1=0.0855109219316382, c2=0.08488925717468383, score=0.707713 -   1.2s
[CV] c1=0.4949797874571482, c2=0.07915020746015955 ...................
[CV]  c1=0.4949797874571482, c2=0.07915020746015955, score=0.779951 -   1.4s
[CV] c1=0.5453438627032172, c2=0.025552923785401832 ..................
[CV]  c1=0.5453438627032172, c2=0.025552923785401832, score=0.745403 -   1.5s
[CV] c1=0.07395030890219287, c2=0.021195742426359587 .................
[CV]  c1=0.07395030890219287, c2=0.021195742426359587, score=0.755615 -   1.4s
[CV] c1=0.25932631822490215, c2=0.018026771657704745 .................
[CV]  c1=0.25932631822490215, c2=0.018026771657704745, score=0.798834 -   1.5s
[CV] c1=0.25129308786210586, c2=0.0062635036986667105 ................
[CV]  c1=0.25129308786210586, c2=0.0062635036986667105, score=0.806034 -   1.6s
[CV] c1=0.6791163836372508, c2=0.009236184552580802 ..................
[CV]  c1=0.6791163836372508, c2=0.009236184552580802, score=0.825632 -   1.5s
[CV] c1=0.0025946937601966707, c2=0.07180096937621817 ................
[CV]  c1=0.0025946937601966707, c2=0.07180096937621817, score=0.723655 -   1.2s
[CV] c1=0.03433826453694907, c2=0.08950702083752687 ..................
[CV]  c1=0.03433826453694907, c2=0.08950702083752687, score=0.816145 -   1.4s
[CV] c1=0.4140742545169596, c2=0.047105168004902054 ..................
[CV]  c1=0.4140742545169596, c2=0.047105168004902054, score=0.811913 -   1.5s
[CV] c1=1.2862404468003117, c2=0.02022619330789313 ...................
[CV]  c1=1.2862404468003117, c2=0.02022619330789313, score=0.739883 -   1.5s
[CV] c1=0.5462986800222647, c2=0.10639241903788083 ...................
[CV]  c1=0.5462986800222647, c2=0.10639241903788083, score=0.662646 -   1.2s
[CV] c1=0.5115282310814802, c2=0.06689067622416868 ...................
[CV]  c1=0.5115282310814802, c2=0.06689067622416868, score=0.723348 -   1.5s
[CV] c1=0.0855109219316382, c2=0.08488925717468383 ...................
[CV]  c1=0.0855109219316382, c2=0.08488925717468383, score=0.876009 -   1.4s
[CV] c1=0.11610340303841932, c2=0.03812199504315776 ..................
[CV]  c1=0.11610340303841932, c2=0.03812199504315776, score=0.785130 -   1.5s
[CV] c1=0.2919700643476051, c2=0.045576565136867864 ..................
[CV]  c1=0.2919700643476051, c2=0.045576565136867864, score=0.704960 -   1.3s
[CV] c1=0.37105974225355287, c2=0.008699944148543286 .................
[CV]  c1=0.37105974225355287, c2=0.008699944148543286, score=0.865219 -   1.5s
[CV] c1=0.11134781491446011, c2=0.008862030286693235 .................
[CV]  c1=0.11134781491446011, c2=0.008862030286693235, score=0.668204 -   1.2s
[CV] c1=0.1792490675057888, c2=0.0063973303361398726 .................
[CV]  c1=0.1792490675057888, c2=0.0063973303361398726, score=0.814078 -   1.6s
[CV] c1=0.22203262879396796, c2=0.13677670249492022 ..................
[CV]  c1=0.22203262879396796, c2=0.13677670249492022, score=0.802078 -   1.4s
[CV] c1=0.04036936689291469, c2=0.06790225952072913 ..................
[CV]  c1=0.04036936689291469, c2=0.06790225952072913, score=0.834061 -   1.6s
[CV] c1=0.3777659384073591, c2=0.06462538086055038 ...................
[CV]  c1=0.3777659384073591, c2=0.06462538086055038, score=0.799364 -   1.5s
[CV] c1=0.0025592519098406137, c2=0.024317460731590163 ...............
[CV]  c1=0.0025592519098406137, c2=0.024317460731590163, score=0.825246 -   1.5s
[CV] c1=1.0676184918505476, c2=0.016453240128889674 ..................
[CV]  c1=1.0676184918505476, c2=0.016453240128889674, score=0.643204 -   1.6s
[CV] c1=0.010579273225818555, c2=0.005206924160261198 ................
[CV]  c1=0.010579273225818555, c2=0.005206924160261198, score=0.746699 -   0.9s
[CV] c1=1.067907221292077, c2=0.05104189123142702 ....................
[CV]  c1=1.067907221292077, c2=0.05104189123142702, score=0.627351 -   1.1s
[CV] c1=0.28005651437211915, c2=0.04229413285297012 ..................
[CV]  c1=0.28005651437211915, c2=0.04229413285297012, score=0.812475 -   1.6s
[CV] c1=0.2691293785632799, c2=0.028344217102315036 ..................
[CV]  c1=0.2691293785632799, c2=0.028344217102315036, score=0.817857 -   1.5s
[CV] c1=0.5922163123235465, c2=0.0050503850196520735 .................
[CV]  c1=0.5922163123235465, c2=0.0050503850196520735, score=0.806528 -   1.7s
[CV] c1=0.07395030890219287, c2=0.021195742426359587 .................
[CV]  c1=0.07395030890219287, c2=0.021195742426359587, score=0.695972 -   1.2s
[CV] c1=0.9729609505212734, c2=0.09585878620662079 ...................
[CV]  c1=0.9729609505212734, c2=0.09585878620662079, score=0.615857 -   1.2s
[CV] c1=0.2724196145259278, c2=0.17578083469290717 ...................
[CV]  c1=0.2724196145259278, c2=0.17578083469290717, score=0.865855 -   1.5s
[CV] c1=0.749264925557617, c2=0.01437312061279477 ....................
[CV]  c1=0.749264925557617, c2=0.01437312061279477, score=0.850183 -   1.6s
[CV] c1=0.13515575975519534, c2=0.06445383611390927 ..................
[CV]  c1=0.13515575975519534, c2=0.06445383611390927, score=0.816726 -   1.4s
[CV] c1=0.11558048542070656, c2=0.014400073763779608 .................
[CV]  c1=0.11558048542070656, c2=0.014400073763779608, score=0.780970 -   1.5s
[CV] c1=0.5590255009290254, c2=0.08148354479093985 ...................
[CV]  c1=0.5590255009290254, c2=0.08148354479093985, score=0.779075 -   1.6s
[CV] c1=1.2862404468003117, c2=0.02022619330789313 ...................
[CV]  c1=1.2862404468003117, c2=0.02022619330789313, score=0.634061 -   1.6s
[CV] c1=0.48045429195942063, c2=0.006185147013150674 .................
[CV]  c1=0.48045429195942063, c2=0.006185147013150674, score=0.865501 -   1.1s
[CV] c1=1.067907221292077, c2=0.05104189123142702 ....................
[CV]  c1=1.067907221292077, c2=0.05104189123142702, score=0.749324 -   1.2s
[CV] c1=0.32616890027345447, c2=0.10306066235017464 ..................
[CV]  c1=0.32616890027345447, c2=0.10306066235017464, score=0.804186 -   1.5s
[CV] c1=0.2691293785632799, c2=0.028344217102315036 ..................
[CV]  c1=0.2691293785632799, c2=0.028344217102315036, score=0.817948 -   1.6s
[CV] c1=0.5453438627032172, c2=0.025552923785401832 ..................
[CV]  c1=0.5453438627032172, c2=0.025552923785401832, score=0.716614 -   1.2s
[CV] c1=0.7315064660272935, c2=0.005230880194301065 ..................
[CV]  c1=0.7315064660272935, c2=0.005230880194301065, score=0.703197 -   1.3s
[CV] c1=0.9732542459251261, c2=0.006074661719460219 ..................
[CV]  c1=0.9732542459251261, c2=0.006074661719460219, score=0.687236 -   1.3s
[CV] c1=0.02262080940724448, c2=0.04916388945297456 ..................
[CV]  c1=0.02262080940724448, c2=0.04916388945297456, score=0.709077 -   1.2s
[CV] c1=0.23988479828129272, c2=0.026882102120936138 .................
[CV]  c1=0.23988479828129272, c2=0.026882102120936138, score=0.877300 -   1.6s
[CV] c1=0.4550065110626027, c2=0.06994771154238986 ...................
[CV]  c1=0.4550065110626027, c2=0.06994771154238986, score=0.825160 -   1.6s
[CV] c1=0.5329459143182432, c2=0.0715829674361131 ....................
[CV]  c1=0.5329459143182432, c2=0.0715829674361131, score=0.734455 -   1.6s
[CV] c1=0.7992889407261708, c2=0.08489470320096498 ...................
[CV]  c1=0.7992889407261708, c2=0.08489470320096498, score=0.697147 -   1.7s
[CV] c1=0.7421083562497381, c2=0.05641581912694524 ...................
[CV]  c1=0.7421083562497381, c2=0.05641581912694524, score=0.691117 -   1.5s
[CV] c1=0.027162948199619744, c2=0.19360199147863993 .................
[CV]  c1=0.027162948199619744, c2=0.19360199147863993, score=0.809034 -   1.3s
[CV] c1=0.3470910117911111, c2=0.03991335109893534 ...................
[CV]  c1=0.3470910117911111, c2=0.03991335109893534, score=0.831964 -   1.2s
[CV] c1=0.28005651437211915, c2=0.04229413285297012 ..................
[CV]  c1=0.28005651437211915, c2=0.04229413285297012, score=0.803060 -   1.5s
[CV] c1=0.04952184713163065, c2=0.06646596631453876 ..................
[CV]  c1=0.04952184713163065, c2=0.06646596631453876, score=0.806591 -   1.6s
[CV] c1=0.5922163123235465, c2=0.0050503850196520735 .................
[CV]  c1=0.5922163123235465, c2=0.0050503850196520735, score=0.860582 -   1.6s
[CV] c1=0.7315064660272935, c2=0.005230880194301065 ..................
[CV]  c1=0.7315064660272935, c2=0.005230880194301065, score=0.718836 -   1.7s
[CV] c1=0.25932631822490215, c2=0.018026771657704745 .................
[CV]  c1=0.25932631822490215, c2=0.018026771657704745, score=0.705835 -   1.2s
[CV] c1=0.1792490675057888, c2=0.0063973303361398726 .................
[CV]  c1=0.1792490675057888, c2=0.0063973303361398726, score=0.883777 -   1.6s
[CV] c1=0.30444272198207234, c2=0.16108952074021207 ..................
[CV]  c1=0.30444272198207234, c2=0.16108952074021207, score=0.812261 -   1.5s
[CV] c1=0.04036936689291469, c2=0.06790225952072913 ..................
[CV]  c1=0.04036936689291469, c2=0.06790225952072913, score=0.878120 -   1.5s
[CV] c1=0.3777659384073591, c2=0.06462538086055038 ...................
[CV]  c1=0.3777659384073591, c2=0.06462538086055038, score=0.667214 -   1.3s
[CV] c1=0.4140742545169596, c2=0.047105168004902054 ..................
[CV]  c1=0.4140742545169596, c2=0.047105168004902054, score=0.734828 -   1.6s
[CV] c1=1.2862404468003117, c2=0.02022619330789313 ...................
[CV]  c1=1.2862404468003117, c2=0.02022619330789313, score=0.567649 -   1.6s
[CV] c1=0.48045429195942063, c2=0.006185147013150674 .................
[CV]  c1=0.48045429195942063, c2=0.006185147013150674, score=0.720947 -   1.1s
[CV] c1=1.067907221292077, c2=0.05104189123142702 ....................
[CV]  c1=1.067907221292077, c2=0.05104189123142702, score=0.600769 -   1.5s
[CV] c1=0.017811850395264693, c2=0.014351884396512455 ................
[CV]  c1=0.017811850395264693, c2=0.014351884396512455, score=0.715078 -   1.1s
[CV] c1=0.2691293785632799, c2=0.028344217102315036 ..................
[CV]  c1=0.2691293785632799, c2=0.028344217102315036, score=0.681088 -   1.3s
[CV] c1=0.10089637910577749, c2=0.005357861926959621 .................
[CV]  c1=0.10089637910577749, c2=0.005357861926959621, score=0.806749 -   1.6s
[CV] c1=0.7315064660272935, c2=0.005230880194301065 ..................
[CV]  c1=0.7315064660272935, c2=0.005230880194301065, score=0.837898 -   1.5s
[CV] c1=0.9729609505212734, c2=0.09585878620662079 ...................
[CV]  c1=0.9729609505212734, c2=0.09585878620662079, score=0.841893 -   1.6s
[CV] c1=0.1792490675057888, c2=0.0063973303361398726 .................
[CV]  c1=0.1792490675057888, c2=0.0063973303361398726, score=0.815574 -   1.5s
[CV] c1=0.30444272198207234, c2=0.16108952074021207 ..................
[CV]  c1=0.30444272198207234, c2=0.16108952074021207, score=0.797558 -   1.5s
[CV] c1=0.5412028894529719, c2=0.17899660543516277 ...................
[CV]  c1=0.5412028894529719, c2=0.17899660543516277, score=0.730376 -   1.6s
[CV] c1=0.3777659384073591, c2=0.06462538086055038 ...................
[CV]  c1=0.3777659384073591, c2=0.06462538086055038, score=0.864625 -   1.5s
[CV] c1=0.0025592519098406137, c2=0.024317460731590163 ...............
[CV]  c1=0.0025592519098406137, c2=0.024317460731590163, score=0.715747 -   1.2s
[CV] c1=1.2862404468003117, c2=0.02022619330789313 ...................
[CV]  c1=1.2862404468003117, c2=0.02022619330789313, score=0.814997 -   1.6s
[CV] c1=0.5462986800222647, c2=0.10639241903788083 ...................
[CV]  c1=0.5462986800222647, c2=0.10639241903788083, score=0.779390 -   1.2s
[CV] c1=0.3286251296658367, c2=0.004113761259995997 ..................
[CV]  c1=0.3286251296658367, c2=0.004113761259995997, score=0.877348 -   1.6s
[CV] c1=0.08050239228994328, c2=0.004231368330993498 .................
[CV]  c1=0.08050239228994328, c2=0.004231368330993498, score=0.840610 -   1.4s
[CV] c1=0.13788008889709122, c2=0.006992093291245026 .................
[CV]  c1=0.13788008889709122, c2=0.006992093291245026, score=0.886810 -   1.5s
[CV] c1=1.352121398852716, c2=0.1479112783780243 .....................
[CV]  c1=1.352121398852716, c2=0.1479112783780243, score=0.549317 -   1.2s
[CV] c1=0.37105974225355287, c2=0.008699944148543286 .................
[CV]  c1=0.37105974225355287, c2=0.008699944148543286, score=0.722476 -   1.2s
[CV] c1=0.9729609505212734, c2=0.09585878620662079 ...................
[CV]  c1=0.9729609505212734, c2=0.09585878620662079, score=0.749391 -   1.5s
[CV] c1=0.1792490675057888, c2=0.0063973303361398726 .................
[CV]  c1=0.1792490675057888, c2=0.0063973303361398726, score=0.831546 -   1.4s
[CV] c1=0.30444272198207234, c2=0.16108952074021207 ..................
[CV]  c1=0.30444272198207234, c2=0.16108952074021207, score=0.761699 -   1.6s
[CV] c1=0.5412028894529719, c2=0.17899660543516277 ...................
[CV]  c1=0.5412028894529719, c2=0.17899660543516277, score=0.751582 -   1.4s
[CV] c1=0.03433826453694907, c2=0.08950702083752687 ..................
[CV]  c1=0.03433826453694907, c2=0.08950702083752687, score=0.716219 -   1.2s
[CV] c1=0.5590255009290254, c2=0.08148354479093985 ...................
[CV]  c1=0.5590255009290254, c2=0.08148354479093985, score=0.736691 -   1.6s
[CV] c1=0.7421083562497381, c2=0.05641581912694524 ...................
[CV]  c1=0.7421083562497381, c2=0.05641581912694524, score=0.771938 -   1.6s
[CV] c1=0.5462986800222647, c2=0.10639241903788083 ...................
[CV]  c1=0.5462986800222647, c2=0.10639241903788083, score=0.837415 -   1.3s
[CV] c1=0.713873954328252, c2=0.02719635667314815 ....................
[CV]  c1=0.713873954328252, c2=0.02719635667314815, score=0.794855 -   1.5s
[CV] c1=0.1550863442936185, c2=0.020351283674137195 ..................
[CV]  c1=0.1550863442936185, c2=0.020351283674137195, score=0.815574 -   1.5s
[CV] c1=0.3171653792102444, c2=0.05748496250124068 ...................
[CV]  c1=0.3171653792102444, c2=0.05748496250124068, score=0.809596 -   1.6s
[CV] c1=1.0163714614063044, c2=0.031361095882872746 ..................
[CV]  c1=1.0163714614063044, c2=0.031361095882872746, score=0.658375 -   1.2s
[CV] c1=0.014683119594972878, c2=0.16842473334809077 .................
[CV]  c1=0.014683119594972878, c2=0.16842473334809077, score=0.734228 -   1.2s
[CV] c1=0.1483583815837606, c2=0.03661230112299967 ...................
[CV]  c1=0.1483583815837606, c2=0.03661230112299967, score=0.896874 -   1.5s
[CV] c1=0.23988479828129272, c2=0.026882102120936138 .................
[CV]  c1=0.23988479828129272, c2=0.026882102120936138, score=0.711218 -   1.1s
[CV] c1=0.020611827825698904, c2=0.08532665428195474 .................
[CV]  c1=0.020611827825698904, c2=0.08532665428195474, score=0.722705 -   1.2s
[CV] c1=0.0025946937601966707, c2=0.07180096937621817 ................
[CV]  c1=0.0025946937601966707, c2=0.07180096937621817, score=0.884982 -   1.5s
[CV] c1=0.02564318754575967, c2=0.14307248581211238 ..................
[CV]  c1=0.02564318754575967, c2=0.14307248581211238, score=0.882191 -   1.5s
[CV] c1=0.10327106900870416, c2=0.041252435426680126 .................
[CV]  c1=0.10327106900870416, c2=0.041252435426680126, score=0.874292 -   1.5s
[CV] c1=0.21313384069997235, c2=0.09262510450524081 ..................
[CV]  c1=0.21313384069997235, c2=0.09262510450524081, score=0.693210 -   1.1s
[CV] c1=0.5462986800222647, c2=0.10639241903788083 ...................
[CV]  c1=0.5462986800222647, c2=0.10639241903788083, score=0.806943 -   1.3s
[CV] c1=0.051040803148721205, c2=0.07430147426016706 .................
[CV]  c1=0.051040803148721205, c2=0.07430147426016706, score=0.707524 -   0.9s
[CV] c1=0.28005651437211915, c2=0.04229413285297012 ..................
[CV]  c1=0.28005651437211915, c2=0.04229413285297012, score=0.676755 -   1.3s
[CV] c1=0.1550863442936185, c2=0.020351283674137195 ..................
[CV]  c1=0.1550863442936185, c2=0.020351283674137195, score=0.891421 -   1.5s
[CV] c1=0.09812502303967864, c2=0.05776601277788376 ..................
[CV]  c1=0.09812502303967864, c2=0.05776601277788376, score=0.778945 -   1.6s
[CV] c1=0.1159556030843896, c2=0.006709641998422443 ..................
[CV]  c1=0.1159556030843896, c2=0.006709641998422443, score=0.850291 -   1.4s
[CV] c1=0.014683119594972878, c2=0.16842473334809077 .................
[CV]  c1=0.014683119594972878, c2=0.16842473334809077, score=0.816145 -   1.5s
[CV] c1=0.02262080940724448, c2=0.04916388945297456 ..................
[CV]  c1=0.02262080940724448, c2=0.04916388945297456, score=0.778945 -   1.6s
[CV] c1=0.749264925557617, c2=0.01437312061279477 ....................
[CV]  c1=0.749264925557617, c2=0.01437312061279477, score=0.692750 -   1.6s
[CV] c1=0.5412028894529719, c2=0.17899660543516277 ...................
[CV]  c1=0.5412028894529719, c2=0.17899660543516277, score=0.849879 -   1.6s
[CV] c1=0.03433826453694907, c2=0.08950702083752687 ..................
[CV]  c1=0.03433826453694907, c2=0.08950702083752687, score=0.809711 -   1.6s
[CV] c1=0.4140742545169596, c2=0.047105168004902054 ..................
[CV]  c1=0.4140742545169596, c2=0.047105168004902054, score=0.807395 -   1.6s
[CV] c1=1.0676184918505476, c2=0.016453240128889674 ..................
[CV]  c1=1.0676184918505476, c2=0.016453240128889674, score=0.777102 -   1.5s
[CV] c1=0.48045429195942063, c2=0.006185147013150674 .................
[CV]  c1=0.48045429195942063, c2=0.006185147013150674, score=0.811615 -   1.2s
[CV] c1=0.3470910117911111, c2=0.03991335109893534 ...................
[CV]  c1=0.3470910117911111, c2=0.03991335109893534, score=0.809596 -   1.3s
[CV] c1=0.32616890027345447, c2=0.10306066235017464 ..................
[CV]  c1=0.32616890027345447, c2=0.10306066235017464, score=0.784049 -   1.3s
[CV] c1=0.04952184713163065, c2=0.06646596631453876 ..................
[CV]  c1=0.04952184713163065, c2=0.06646596631453876, score=0.811185 -   1.5s
[CV] c1=0.10089637910577749, c2=0.005357861926959621 .................
[CV]  c1=0.10089637910577749, c2=0.005357861926959621, score=0.817865 -   1.7s
[CV] c1=1.0163714614063044, c2=0.031361095882872746 ..................
[CV]  c1=1.0163714614063044, c2=0.031361095882872746, score=0.676625 -   1.7s
[CV] c1=0.9729609505212734, c2=0.09585878620662079 ...................
[CV]  c1=0.9729609505212734, c2=0.09585878620662079, score=0.647108 -   1.6s
[CV] c1=0.25129308786210586, c2=0.0062635036986667105 ................
[CV]  c1=0.25129308786210586, c2=0.0062635036986667105, score=0.801717 -   1.7s
[CV] c1=0.6791163836372508, c2=0.009236184552580802 ..................
[CV]  c1=0.6791163836372508, c2=0.009236184552580802, score=0.712544 -   1.2s
[CV] c1=0.04036936689291469, c2=0.06790225952072913 ..................
[CV]  c1=0.04036936689291469, c2=0.06790225952072913, score=0.816145 -   1.5s
[CV] c1=0.3777659384073591, c2=0.06462538086055038 ...................
[CV]  c1=0.3777659384073591, c2=0.06462538086055038, score=0.776799 -   1.6s
[CV] c1=0.10327106900870416, c2=0.041252435426680126 .................
[CV]  c1=0.10327106900870416, c2=0.041252435426680126, score=0.698315 -   1.2s
[CV] c1=1.0676184918505476, c2=0.016453240128889674 ..................
[CV]  c1=1.0676184918505476, c2=0.016453240128889674, score=0.649232 -   1.3s
[CV] c1=0.5462986800222647, c2=0.10639241903788083 ...................
[CV]  c1=0.5462986800222647, c2=0.10639241903788083, score=0.725924 -   1.3s
[CV] c1=0.051040803148721205, c2=0.07430147426016706 .................
[CV]  c1=0.051040803148721205, c2=0.07430147426016706, score=0.785017 -   1.5s
[CV] c1=0.017811850395264693, c2=0.014351884396512455 ................
[CV]  c1=0.017811850395264693, c2=0.014351884396512455, score=0.880228 -   1.5s
[CV] c1=0.11610340303841932, c2=0.03812199504315776 ..................
[CV]  c1=0.11610340303841932, c2=0.03812199504315776, score=0.880643 -   1.5s
[CV] c1=0.7716385938399174, c2=0.005481862979406157 ..................
[CV]  c1=0.7716385938399174, c2=0.005481862979406157, score=0.670955 -   1.3s
[CV] c1=0.7315064660272935, c2=0.005230880194301065 ..................
[CV]  c1=0.7315064660272935, c2=0.005230880194301065, score=0.789213 -   1.6s
[CV] c1=0.25932631822490215, c2=0.018026771657704745 .................
[CV]  c1=0.25932631822490215, c2=0.018026771657704745, score=0.802727 -   1.6s
[CV] c1=0.2860294591083142, c2=0.03169258091399065 ...................
[CV]  c1=0.2860294591083142, c2=0.03169258091399065, score=0.703909 -   1.2s
[CV] c1=0.22203262879396796, c2=0.13677670249492022 ..................
[CV]  c1=0.22203262879396796, c2=0.13677670249492022, score=0.791085 -   1.6s
[CV] c1=0.04036936689291469, c2=0.06790225952072913 ..................
[CV]  c1=0.04036936689291469, c2=0.06790225952072913, score=0.785017 -   1.6s
[CV] c1=0.02564318754575967, c2=0.14307248581211238 ..................
[CV]  c1=0.02564318754575967, c2=0.14307248581211238, score=0.743693 -   1.2s
[CV] c1=0.0025592519098406137, c2=0.024317460731590163 ...............
[CV]  c1=0.0025592519098406137, c2=0.024317460731590163, score=0.893125 -   1.5s
[CV] c1=1.0676184918505476, c2=0.016453240128889674 ..................
[CV]  c1=1.0676184918505476, c2=0.016453240128889674, score=0.650476 -   1.6s
[CV] c1=0.48045429195942063, c2=0.006185147013150674 .................
[CV]  c1=0.48045429195942063, c2=0.006185147013150674, score=0.799675 -   1.1s
[CV] c1=0.3470910117911111, c2=0.03991335109893534 ...................
[CV]  c1=0.3470910117911111, c2=0.03991335109893534, score=0.865812 -   1.1s
[CV] c1=0.28005651437211915, c2=0.04229413285297012 ..................
[CV]  c1=0.28005651437211915, c2=0.04229413285297012, score=0.784101 -   1.6s
[CV] c1=0.2691293785632799, c2=0.028344217102315036 ..................
[CV]  c1=0.2691293785632799, c2=0.028344217102315036, score=0.877300 -   1.6s
[CV] c1=0.5922163123235465, c2=0.0050503850196520735 .................
[CV]  c1=0.5922163123235465, c2=0.0050503850196520735, score=0.719612 -   1.3s
[CV] c1=1.0163714614063044, c2=0.031361095882872746 ..................
[CV]  c1=1.0163714614063044, c2=0.031361095882872746, score=0.777169 -   1.4s
[CV] c1=0.9732542459251261, c2=0.006074661719460219 ..................
[CV]  c1=0.9732542459251261, c2=0.006074661719460219, score=0.780549 -   1.5s
[CV] c1=0.2724196145259278, c2=0.17578083469290717 ...................
[CV]  c1=0.2724196145259278, c2=0.17578083469290717, score=0.796870 -   1.5s
[CV] c1=0.749264925557617, c2=0.01437312061279477 ....................
[CV]  c1=0.749264925557617, c2=0.01437312061279477, score=0.780549 -   1.5s
[CV] c1=0.13515575975519534, c2=0.06445383611390927 ..................
[CV]  c1=0.13515575975519534, c2=0.06445383611390927, score=0.784159 -   1.7s
[CV] c1=0.03433826453694907, c2=0.08950702083752687 ..................
[CV]  c1=0.03433826453694907, c2=0.08950702083752687, score=0.790547 -   1.6s
[CV] c1=0.0025592519098406137, c2=0.024317460731590163 ...............
[CV]  c1=0.0025592519098406137, c2=0.024317460731590163, score=0.834061 -   1.3s
[CV] c1=1.0676184918505476, c2=0.016453240128889674 ..................
[CV]  c1=1.0676184918505476, c2=0.016453240128889674, score=0.839340 -   1.6s
[CV] c1=0.48045429195942063, c2=0.006185147013150674 .................
[CV]  c1=0.48045429195942063, c2=0.006185147013150674, score=0.780759 -   1.2s
[CV] c1=1.067907221292077, c2=0.05104189123142702 ....................
[CV]  c1=1.067907221292077, c2=0.05104189123142702, score=0.652405 -   1.4s
[CV] c1=0.7758310697297072, c2=0.02211502084695107 ...................
[CV]  c1=0.7758310697297072, c2=0.02211502084695107, score=0.798938 -   1.6s
[CV] c1=1.0110002141368792, c2=0.02510793263803356 ...................
[CV]  c1=1.0110002141368792, c2=0.02510793263803356, score=0.844645 -   1.5s
[CV] c1=0.2919700643476051, c2=0.045576565136867864 ..................
[CV]  c1=0.2919700643476051, c2=0.045576565136867864, score=0.790517 -   1.6s
[CV] c1=1.4148731652266529, c2=0.1747628662187567 ....................
[CV]  c1=1.4148731652266529, c2=0.1747628662187567, score=0.799056 -   1.5s
[CV] c1=0.23934469107187453, c2=0.003678935129411592 .................
[CV]  c1=0.23934469107187453, c2=0.003678935129411592, score=0.835109 -   1.4s
[CV] c1=0.05363660295635994, c2=0.09119677432969177 ..................
[CV]  c1=0.05363660295635994, c2=0.09119677432969177, score=0.716219 -   1.2s
[CV] c1=0.22203262879396796, c2=0.13677670249492022 ..................
[CV]  c1=0.22203262879396796, c2=0.13677670249492022, score=0.781852 -   1.6s
[CV] c1=0.0025946937601966707, c2=0.07180096937621817 ................
[CV]  c1=0.0025946937601966707, c2=0.07180096937621817, score=0.834061 -   1.6s
[CV] c1=0.5505299533629106, c2=0.00020428667712839245 ................
[CV]  c1=0.5505299533629106, c2=0.00020428667712839245, score=0.859755 -   1.5s
[CV] c1=0.2240135814923668, c2=0.011146693388178567 ..................
[CV]  c1=0.2240135814923668, c2=0.011146693388178567, score=0.882965 -   1.5s
[CV] c1=0.016440999435706934, c2=0.03904797907113168 .................
[CV]  c1=0.016440999435706934, c2=0.03904797907113168, score=0.719083 -   1.3s
[CV] c1=0.010579273225818555, c2=0.005206924160261198 ................
[CV]  c1=0.010579273225818555, c2=0.005206924160261198, score=0.868134 -   1.1s
[CV] c1=0.1844137949597487, c2=0.00415564023133949 ...................
[CV]  c1=0.1844137949597487, c2=0.00415564023133949, score=0.797994 -   1.6s
[CV] c1=0.8456246544187831, c2=0.026394580460576134 ..................
[CV]  c1=0.8456246544187831, c2=0.026394580460576134, score=0.856240 -   1.5s
[CV] c1=0.09812502303967864, c2=0.05776601277788376 ..................
[CV]  c1=0.09812502303967864, c2=0.05776601277788376, score=0.702320 -   1.2s
[CV] c1=0.2919700643476051, c2=0.045576565136867864 ..................
[CV]  c1=0.2919700643476051, c2=0.045576565136867864, score=0.804220 -   1.6s
[CV] c1=1.4148731652266529, c2=0.1747628662187567 ....................
[CV]  c1=1.4148731652266529, c2=0.1747628662187567, score=0.554860 -   1.6s
[CV] c1=0.1483583815837606, c2=0.03661230112299967 ...................
[CV]  c1=0.1483583815837606, c2=0.03661230112299967, score=0.680989 -   1.2s
[CV] c1=0.05363660295635994, c2=0.09119677432969177 ..................
[CV]  c1=0.05363660295635994, c2=0.09119677432969177, score=0.817007 -   1.5s
[CV] c1=0.14738380924647737, c2=0.12730090363385113 ..................
[CV]  c1=0.14738380924647737, c2=0.12730090363385113, score=0.862163 -   1.5s
[CV] c1=0.6395799518265777, c2=0.0034885136857412064 .................
[CV]  c1=0.6395799518265777, c2=0.0034885136857412064, score=0.716614 -   1.2s
[CV] c1=0.02564318754575967, c2=0.14307248581211238 ..................
[CV]  c1=0.02564318754575967, c2=0.14307248581211238, score=0.809034 -   1.6s
[CV] c1=0.2240135814923668, c2=0.011146693388178567 ..................
[CV]  c1=0.2240135814923668, c2=0.011146693388178567, score=0.705835 -   1.2s
[CV] c1=0.21313384069997235, c2=0.09262510450524081 ..................
[CV]  c1=0.21313384069997235, c2=0.09262510450524081, score=0.867282 -   1.5s
[CV] c1=0.010579273225818555, c2=0.005206924160261198 ................
[CV]  c1=0.010579273225818555, c2=0.005206924160261198, score=0.831741 -   1.0s
[CV] c1=0.051040803148721205, c2=0.07430147426016706 .................
[CV]  c1=0.051040803148721205, c2=0.07430147426016706, score=0.878120 -   1.2s
[CV] c1=0.32616890027345447, c2=0.10306066235017464 ..................
[CV]  c1=0.32616890027345447, c2=0.10306066235017464, score=0.862378 -   1.6s
[CV] c1=0.4949797874571482, c2=0.07915020746015955 ...................
[CV]  c1=0.4949797874571482, c2=0.07915020746015955, score=0.835816 -   1.6s
[CV] c1=0.5453438627032172, c2=0.025552923785401832 ..................
[CV]  c1=0.5453438627032172, c2=0.025552923785401832, score=0.798899 -   1.5s
[CV] c1=0.07395030890219287, c2=0.021195742426359587 .................
[CV]  c1=0.07395030890219287, c2=0.021195742426359587, score=0.780086 -   1.6s
[CV] c1=0.23934469107187453, c2=0.003678935129411592 .................
[CV]  c1=0.23934469107187453, c2=0.003678935129411592, score=0.877348 -   1.7s
[CV] c1=0.000766574274409609, c2=0.011639596535262382 ................
[CV]  c1=0.000766574274409609, c2=0.011639596535262382, score=0.729351 -   1.3s
[CV] c1=0.6791163836372508, c2=0.009236184552580802 ..................
[CV]  c1=0.6791163836372508, c2=0.009236184552580802, score=0.703114 -   1.6s
[CV] c1=0.2578319461851329, c2=0.02609632723111458 ...................
[CV]  c1=0.2578319461851329, c2=0.02609632723111458, score=0.722476 -   1.2s
[CV] c1=0.3777659384073591, c2=0.06462538086055038 ...................
[CV]  c1=0.3777659384073591, c2=0.06462538086055038, score=0.808868 -   1.7s
[CV] c1=0.10327106900870416, c2=0.041252435426680126 .................
[CV]  c1=0.10327106900870416, c2=0.041252435426680126, score=0.814403 -   1.4s
[CV] c1=0.21313384069997235, c2=0.09262510450524081 ..................
[CV]  c1=0.21313384069997235, c2=0.09262510450524081, score=0.809813 -   1.5s
[CV] c1=0.010579273225818555, c2=0.005206924160261198 ................
[CV]  c1=0.010579273225818555, c2=0.005206924160261198, score=0.838818 -   1.1s
Training done in: 21.263067s
     Saving training model...
        Saving training model done in: 0.013835s
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Prediction done in: 0.036520s