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

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Run11_v11.txt 69.1 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: Run11
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: FalseS4: True
Run variant: 11
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: 0.003765s
-------------------------------- 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        word      :
7     isUpper  False
8     isLower  False
9     isGreek  False
10   isNumber  False
11    -1:word     in
12    +1:word     M9
13     -1:ner      _
14     +1:ner    MED
15     -2:ner      _
16     +2:ner    MED
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
13     -1:ner           _
14     +1:ner           _
15     -2:ner           _
16     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.3521125256022878, c2=0.015682195968417797 ..................
[CV]  c1=0.3521125256022878, c2=0.015682195968417797, score=0.834717 -   1.4s
[CV] c1=0.3327902089440841, c2=0.004133594414056319 ..................
[CV]  c1=0.3327902089440841, c2=0.004133594414056319, score=0.787251 -   1.5s
[CV] c1=0.48435074553180507, c2=0.00027586853677214477 ...............
[CV]  c1=0.48435074553180507, c2=0.00027586853677214477, score=0.785741 -   1.6s
[CV] c1=0.3884777108418319, c2=0.17399255958331863 ...................
[CV]  c1=0.3884777108418319, c2=0.17399255958331863, score=0.778731 -   1.5s
[CV] c1=0.2624311869649458, c2=0.008605271141833489 ..................
[CV]  c1=0.2624311869649458, c2=0.008605271141833489, score=0.796670 -   1.5s
[CV] c1=0.9441257251272218, c2=0.15711861601547827 ...................
[CV]  c1=0.9441257251272218, c2=0.15711861601547827, score=0.778972 -   1.4s
[CV] c1=0.19374057097273342, c2=0.005579424776965659 .................
[CV]  c1=0.19374057097273342, c2=0.005579424776965659, score=0.689871 -   1.2s
[CV] c1=0.2634801609209307, c2=0.03009411744761469 ...................
[CV]  c1=0.2634801609209307, c2=0.03009411744761469, score=0.887282 -   1.5s
[CV] c1=0.43515194179340067, c2=0.04858947678428396 ..................
[CV]  c1=0.43515194179340067, c2=0.04858947678428396, score=0.869561 -   1.5s
[CV] c1=0.4970496252142712, c2=0.11562684809206958 ...................
[CV]  c1=0.4970496252142712, c2=0.11562684809206958, score=0.848741 -   1.5s
[CV] c1=1.5438098905326205, c2=0.07033389318438257 ...................
[CV]  c1=1.5438098905326205, c2=0.07033389318438257, score=0.522788 -   1.1s
[CV] c1=0.03642311811831235, c2=0.153417069068176 ....................
[CV]  c1=0.03642311811831235, c2=0.153417069068176, score=0.787542 -   1.6s
[CV] c1=0.6344766605832503, c2=0.06235816218304252 ...................
[CV]  c1=0.6344766605832503, c2=0.06235816218304252, score=0.789081 -   1.6s
[CV] c1=1.6493488704046586, c2=0.08972671753929702 ...................
[CV]  c1=1.6493488704046586, c2=0.08972671753929702, score=0.778738 -   1.5s
[CV] c1=0.5372421214174691, c2=0.07523338116733261 ...................
[CV]  c1=0.5372421214174691, c2=0.07523338116733261, score=0.670737 -   1.2s
[CV] c1=3.567759410774442, c2=0.0698389256990575 .....................
[CV]  c1=3.567759410774442, c2=0.0698389256990575, score=0.468154 -   1.5s
[CV] c1=0.2624311869649458, c2=0.008605271141833489 ..................
[CV]  c1=0.2624311869649458, c2=0.008605271141833489, score=0.687320 -   1.3s
[CV] c1=0.21361261316488064, c2=0.0018931625063237601 ................
[CV]  c1=0.21361261316488064, c2=0.0018931625063237601, score=0.809201 -   1.6s
[CV] c1=0.7152236155573353, c2=0.0005859993773227859 .................
[CV]  c1=0.7152236155573353, c2=0.0005859993773227859, score=0.794575 -   1.4s
[CV] c1=0.4546768482816445, c2=0.0038721130621345943 .................
[CV]  c1=0.4546768482816445, c2=0.0038721130621345943, score=0.701734 -   1.2s
[CV] c1=0.5615101263018096, c2=0.028351712257579237 ..................
[CV]  c1=0.5615101263018096, c2=0.028351712257579237, score=0.801569 -   1.5s
[CV] c1=0.8257943656429666, c2=0.017163331968504364 ..................
[CV]  c1=0.8257943656429666, c2=0.017163331968504364, score=0.855679 -   1.5s
[CV] c1=0.3555559947700272, c2=0.0022296727998478327 .................
[CV]  c1=0.3555559947700272, c2=0.0022296727998478327, score=0.786273 -   1.5s
[CV] c1=0.09932279440938452, c2=0.00868724458554053 ..................
[CV]  c1=0.09932279440938452, c2=0.00868724458554053, score=0.808864 -   1.6s
[CV] c1=0.16133388452784694, c2=0.03857239128418517 ..................
[CV]  c1=0.16133388452784694, c2=0.03857239128418517, score=0.792900 -   1.4s
[CV] c1=0.8191148337248148, c2=0.00030100747809674346 ................
[CV]  c1=0.8191148337248148, c2=0.00030100747809674346, score=0.801767 -   1.5s
[CV] c1=0.21699597897905032, c2=0.10538217555392373 ..................
[CV]  c1=0.21699597897905032, c2=0.10538217555392373, score=0.833986 -   1.5s
[CV] c1=0.37736565505259334, c2=0.00030218693040165597 ...............
[CV]  c1=0.37736565505259334, c2=0.00030218693040165597, score=0.894180 -   1.5s
[CV] c1=0.36894174125025253, c2=0.028651097172574858 .................
[CV]  c1=0.36894174125025253, c2=0.028651097172574858, score=0.681062 -   1.4s
[CV] c1=0.4809452977619614, c2=0.028091502602496043 ..................
[CV]  c1=0.4809452977619614, c2=0.028091502602496043, score=0.760019 -   1.7s
[CV] c1=0.18447821820777272, c2=0.00040858046238523185 ...............
[CV]  c1=0.18447821820777272, c2=0.00040858046238523185, score=0.781514 -   1.6s
[CV] c1=0.19655607673333345, c2=0.003647617363125726 .................
[CV]  c1=0.19655607673333345, c2=0.003647617363125726, score=0.884450 -   1.5s
[CV] c1=0.5615101263018096, c2=0.028351712257579237 ..................
[CV]  c1=0.5615101263018096, c2=0.028351712257579237, score=0.740115 -   1.7s
[CV] c1=0.8257943656429666, c2=0.017163331968504364 ..................
[CV]  c1=0.8257943656429666, c2=0.017163331968504364, score=0.607568 -   1.2s
[CV] c1=0.06583011486607598, c2=0.05371181579946404 ..................
[CV]  c1=0.06583011486607598, c2=0.05371181579946404, score=0.793539 -   1.5s
[CV] c1=0.09932279440938452, c2=0.00868724458554053 ..................
[CV]  c1=0.09932279440938452, c2=0.00868724458554053, score=0.880632 -   1.6s
[CV] c1=0.2755592355630445, c2=0.022687333114868626 ..................
[CV]  c1=0.2755592355630445, c2=0.022687333114868626, score=0.843668 -   1.5s
[CV] c1=0.605090712883871, c2=0.01893154167788636 ....................
[CV]  c1=0.605090712883871, c2=0.01893154167788636, score=0.855375 -   1.5s
[CV] c1=0.32224563394077516, c2=0.030856019646777436 .................
[CV]  c1=0.32224563394077516, c2=0.030856019646777436, score=0.837316 -   1.5s
[CV] c1=0.04992806486260107, c2=0.04865258543370034 ..................
[CV]  c1=0.04992806486260107, c2=0.04865258543370034, score=0.852828 -   1.4s
[CV] c1=0.330614099354637, c2=0.014026861764720093 ...................
[CV]  c1=0.330614099354637, c2=0.014026861764720093, score=0.698576 -   1.2s
[CV] c1=0.04798803743412485, c2=0.07048187324482792 ..................
[CV]  c1=0.04798803743412485, c2=0.07048187324482792, score=0.787542 -   1.6s
[CV] c1=0.39639998264962156, c2=0.004290427429449114 .................
[CV]  c1=0.39639998264962156, c2=0.004290427429449114, score=0.785727 -   1.6s
[CV] c1=0.19655607673333345, c2=0.003647617363125726 .................
[CV]  c1=0.19655607673333345, c2=0.003647617363125726, score=0.800276 -   1.5s
[CV] c1=0.14208484294407503, c2=0.13554753784444845 ..................
[CV]  c1=0.14208484294407503, c2=0.13554753784444845, score=0.764651 -   1.5s
[CV] c1=0.8257943656429666, c2=0.017163331968504364 ..................
[CV]  c1=0.8257943656429666, c2=0.017163331968504364, score=0.693860 -   1.5s
[CV] c1=0.3555559947700272, c2=0.0022296727998478327 .................
[CV]  c1=0.3555559947700272, c2=0.0022296727998478327, score=0.839195 -   1.5s
[CV] c1=0.09932279440938452, c2=0.00868724458554053 ..................
[CV]  c1=0.09932279440938452, c2=0.00868724458554053, score=0.856953 -   1.4s
[CV] c1=0.6344766605832503, c2=0.06235816218304252 ...................
[CV]  c1=0.6344766605832503, c2=0.06235816218304252, score=0.876233 -   1.5s
[CV] c1=0.36839296248112013, c2=0.058325013736890564 .................
[CV]  c1=0.36839296248112013, c2=0.058325013736890564, score=0.873293 -   1.6s
[CV] c1=0.11322705554825763, c2=0.042085389571648514 .................
[CV]  c1=0.11322705554825763, c2=0.042085389571648514, score=0.776836 -   1.6s
[CV] c1=0.4852261138509036, c2=0.025147996352290244 ..................
[CV]  c1=0.4852261138509036, c2=0.025147996352290244, score=0.687927 -   1.3s
[CV] c1=0.04078691285622204, c2=0.12000191621957024 ..................
[CV]  c1=0.04078691285622204, c2=0.12000191621957024, score=0.781398 -   1.6s
[CV] c1=0.9441257251272218, c2=0.15711861601547827 ...................
[CV]  c1=0.9441257251272218, c2=0.15711861601547827, score=0.654813 -   1.6s
[CV] c1=0.19374057097273342, c2=0.005579424776965659 .................
[CV]  c1=0.19374057097273342, c2=0.005579424776965659, score=0.812785 -   1.5s
[CV] c1=0.059775783302620115, c2=0.01908628560472441 .................
[CV]  c1=0.059775783302620115, c2=0.01908628560472441, score=0.787542 -   1.6s
[CV] c1=0.42965099290929143, c2=0.048970439448327054 .................
[CV]  c1=0.42965099290929143, c2=0.048970439448327054, score=0.675776 -   1.2s
[CV] c1=0.4970496252142712, c2=0.11562684809206958 ...................
[CV]  c1=0.4970496252142712, c2=0.11562684809206958, score=0.809411 -   1.5s
[CV] c1=1.5438098905326205, c2=0.07033389318438257 ...................
[CV]  c1=1.5438098905326205, c2=0.07033389318438257, score=0.733426 -   1.5s
[CV] c1=0.4291373633215439, c2=0.024742563314512356 ..................
[CV]  c1=0.4291373633215439, c2=0.024742563314512356, score=0.822201 -   1.4s
[CV] c1=0.6344766605832503, c2=0.06235816218304252 ...................
[CV]  c1=0.6344766605832503, c2=0.06235816218304252, score=0.627079 -   1.3s
[CV] c1=0.605090712883871, c2=0.01893154167788636 ....................
[CV]  c1=0.605090712883871, c2=0.01893154167788636, score=0.704080 -   1.4s
[CV] c1=0.26625226660661055, c2=0.02746753019956373 ..................
[CV]  c1=0.26625226660661055, c2=0.02746753019956373, score=0.849955 -   1.5s
[CV] c1=1.0190234741276387, c2=0.020979120021187594 ..................
[CV]  c1=1.0190234741276387, c2=0.020979120021187594, score=0.625272 -   1.6s
[CV] c1=0.330614099354637, c2=0.014026861764720093 ...................
[CV]  c1=0.330614099354637, c2=0.014026861764720093, score=0.839195 -   1.5s
[CV] c1=0.21361261316488064, c2=0.0018931625063237601 ................
[CV]  c1=0.21361261316488064, c2=0.0018931625063237601, score=0.851061 -   1.6s
[CV] c1=0.7152236155573353, c2=0.0005859993773227859 .................
[CV]  c1=0.7152236155573353, c2=0.0005859993773227859, score=0.725476 -   1.6s
[CV] c1=0.4546768482816445, c2=0.0038721130621345943 .................
[CV]  c1=0.4546768482816445, c2=0.0038721130621345943, score=0.819131 -   1.4s
[CV] c1=0.43515194179340067, c2=0.04858947678428396 ..................
[CV]  c1=0.43515194179340067, c2=0.04858947678428396, score=0.833026 -   1.5s
[CV] c1=0.4970496252142712, c2=0.11562684809206958 ...................
[CV]  c1=0.4970496252142712, c2=0.11562684809206958, score=0.725145 -   1.6s
[CV] c1=1.2984624848396915, c2=0.045848204842124436 ..................
[CV]  c1=1.2984624848396915, c2=0.045848204842124436, score=0.566510 -   1.3s
[CV] c1=0.4291373633215439, c2=0.024742563314512356 ..................
[CV]  c1=0.4291373633215439, c2=0.024742563314512356, score=0.873293 -   1.6s
[CV] c1=0.23332082713842342, c2=0.10637675231923208 ..................
[CV]  c1=0.23332082713842342, c2=0.10637675231923208, score=0.832842 -   1.5s
[CV] c1=0.8191148337248148, c2=0.00030100747809674346 ................
[CV]  c1=0.8191148337248148, c2=0.00030100747809674346, score=0.721216 -   1.6s
[CV] c1=0.04927884872899443, c2=0.006258329733624678 .................
[CV]  c1=0.04927884872899443, c2=0.006258329733624678, score=0.856953 -   1.5s
[CV] c1=0.37736565505259334, c2=0.00030218693040165597 ...............
[CV]  c1=0.37736565505259334, c2=0.00030218693040165597, score=0.809139 -   1.6s
[CV] c1=0.1404287428192883, c2=0.07446605741793792 ...................
[CV]  c1=0.1404287428192883, c2=0.07446605741793792, score=0.787542 -   1.6s
[CV] c1=0.21361261316488064, c2=0.0018931625063237601 ................
[CV]  c1=0.21361261316488064, c2=0.0018931625063237601, score=0.804060 -   1.5s
[CV] c1=1.0980852538734023, c2=0.027293436804763118 ..................
[CV]  c1=1.0980852538734023, c2=0.027293436804763118, score=0.615996 -   1.7s
[CV] c1=0.059775783302620115, c2=0.01908628560472441 .................
[CV]  c1=0.059775783302620115, c2=0.01908628560472441, score=0.696076 -   1.2s
[CV] c1=0.14208484294407503, c2=0.13554753784444845 ..................
[CV]  c1=0.14208484294407503, c2=0.13554753784444845, score=0.784885 -   1.6s
[CV] c1=0.4970496252142712, c2=0.11562684809206958 ...................
[CV]  c1=0.4970496252142712, c2=0.11562684809206958, score=0.668435 -   1.2s
[CV] c1=0.06583011486607598, c2=0.05371181579946404 ..................
[CV]  c1=0.06583011486607598, c2=0.05371181579946404, score=0.782981 -   1.6s
[CV] c1=0.09932279440938452, c2=0.00868724458554053 ..................
[CV]  c1=0.09932279440938452, c2=0.00868724458554053, score=0.799063 -   1.6s
[CV] c1=0.16133388452784694, c2=0.03857239128418517 ..................
[CV]  c1=0.16133388452784694, c2=0.03857239128418517, score=0.688999 -   1.0s
[CV] c1=0.23349529297144925, c2=0.023661794060841762 .................
[CV]  c1=0.23349529297144925, c2=0.023661794060841762, score=0.884781 -   1.5s
[CV] c1=0.40427406981261044, c2=0.13256226676684607 ..................
[CV]  c1=0.40427406981261044, c2=0.13256226676684607, score=0.661593 -   1.3s
[CV] c1=0.5372421214174691, c2=0.07523338116733261 ...................
[CV]  c1=0.5372421214174691, c2=0.07523338116733261, score=0.860321 -   1.5s
[CV] c1=0.4852261138509036, c2=0.025147996352290244 ..................
[CV]  c1=0.4852261138509036, c2=0.025147996352290244, score=0.757020 -   1.6s
[CV] c1=0.1391100124518207, c2=0.029146592970682346 ..................
[CV]  c1=0.1391100124518207, c2=0.029146592970682346, score=0.784982 -   1.6s
[CV] c1=0.2270663495169445, c2=0.017541427725577523 ..................
[CV]  c1=0.2270663495169445, c2=0.017541427725577523, score=0.664408 -   1.2s
[CV] c1=0.3643307085370925, c2=0.01637022101981155 ...................
[CV]  c1=0.3643307085370925, c2=0.01637022101981155, score=0.894180 -   1.5s
[CV] c1=0.2519208420633794, c2=0.037198889137296146 ..................
[CV]  c1=0.2519208420633794, c2=0.037198889137296146, score=0.789217 -   1.6s
[CV] c1=0.42965099290929143, c2=0.048970439448327054 .................
[CV]  c1=0.42965099290929143, c2=0.048970439448327054, score=0.800892 -   1.6s
[CV] c1=0.2759919474039698, c2=0.01726476375968212 ...................
[CV]  c1=0.2759919474039698, c2=0.01726476375968212, score=0.695634 -   1.2s
[CV] c1=1.002102809622162, c2=0.2708633101207173 .....................
[CV]  c1=1.002102809622162, c2=0.2708633101207173, score=0.809575 -   1.5s
[CV] c1=0.2777947433656883, c2=0.1087205609634252 ....................
[CV]  c1=0.2777947433656883, c2=0.1087205609634252, score=0.668161 -   1.2s
[CV] c1=0.16133388452784694, c2=0.03857239128418517 ..................
[CV]  c1=0.16133388452784694, c2=0.03857239128418517, score=0.882404 -   1.3s
[CV] c1=0.8191148337248148, c2=0.00030100747809674346 ................
[CV]  c1=0.8191148337248148, c2=0.00030100747809674346, score=0.655572 -   1.4s
[CV] c1=0.40427406981261044, c2=0.13256226676684607 ..................
[CV]  c1=0.40427406981261044, c2=0.13256226676684607, score=0.805023 -   1.6s
[CV] c1=0.765675591470504, c2=0.006590267759763152 ...................
[CV]  c1=0.765675591470504, c2=0.006590267759763152, score=0.704570 -   1.6s
[CV] c1=0.030898950809914023, c2=0.004484786228530031 ................
[CV]  c1=0.030898950809914023, c2=0.004484786228530031, score=0.784885 -   1.6s
[CV] c1=0.04798803743412485, c2=0.07048187324482792 ..................
[CV]  c1=0.04798803743412485, c2=0.07048187324482792, score=0.808394 -   1.6s
[CV] c1=0.39639998264962156, c2=0.004290427429449114 .................
[CV]  c1=0.39639998264962156, c2=0.004290427429449114, score=0.874473 -   1.6s
[CV] c1=0.19655607673333345, c2=0.003647617363125726 .................
[CV]  c1=0.19655607673333345, c2=0.003647617363125726, score=0.781505 -   1.6s
[CV] c1=0.14208484294407503, c2=0.13554753784444845 ..................
[CV]  c1=0.14208484294407503, c2=0.13554753784444845, score=0.879649 -   1.6s
[CV] c1=0.8257943656429666, c2=0.017163331968504364 ..................
[CV]  c1=0.8257943656429666, c2=0.017163331968504364, score=0.793494 -   1.5s
[CV] c1=0.3555559947700272, c2=0.0022296727998478327 .................
[CV]  c1=0.3555559947700272, c2=0.0022296727998478327, score=0.830813 -   1.6s
[CV] c1=0.4291373633215439, c2=0.024742563314512356 ..................
[CV]  c1=0.4291373633215439, c2=0.024742563314512356, score=0.780984 -   1.6s
[CV] c1=0.6344766605832503, c2=0.06235816218304252 ...................
[CV]  c1=0.6344766605832503, c2=0.06235816218304252, score=0.793166 -   1.5s
[CV] c1=0.36839296248112013, c2=0.058325013736890564 .................
[CV]  c1=0.36839296248112013, c2=0.058325013736890564, score=0.668161 -   1.5s
[CV] c1=0.11322705554825763, c2=0.042085389571648514 .................
[CV]  c1=0.11322705554825763, c2=0.042085389571648514, score=0.805410 -   1.5s
[CV] c1=0.3884777108418319, c2=0.17399255958331863 ...................
[CV]  c1=0.3884777108418319, c2=0.17399255958331863, score=0.796426 -   1.6s
[CV] c1=0.1391100124518207, c2=0.029146592970682346 ..................
[CV]  c1=0.1391100124518207, c2=0.029146592970682346, score=0.666054 -   1.2s
[CV] c1=0.9441257251272218, c2=0.15711861601547827 ...................
[CV]  c1=0.9441257251272218, c2=0.15711861601547827, score=0.830982 -   1.4s
[CV] c1=0.7152236155573353, c2=0.0005859993773227859 .................
[CV]  c1=0.7152236155573353, c2=0.0005859993773227859, score=0.695546 -   1.6s
[CV] c1=0.059775783302620115, c2=0.01908628560472441 .................
[CV]  c1=0.059775783302620115, c2=0.01908628560472441, score=0.846433 -   1.4s
[CV] c1=0.12833921337325083, c2=0.10416712540419651 ..................
[CV]  c1=0.12833921337325083, c2=0.10416712540419651, score=0.771159 -   1.6s
[CV] c1=0.7147495911055963, c2=0.04101806647404548 ...................
[CV]  c1=0.7147495911055963, c2=0.04101806647404548, score=0.794575 -   1.5s
[CV] c1=1.2984624848396915, c2=0.045848204842124436 ..................
[CV]  c1=1.2984624848396915, c2=0.045848204842124436, score=0.780708 -   1.4s
[CV] c1=0.4291373633215439, c2=0.024742563314512356 ..................
[CV]  c1=0.4291373633215439, c2=0.024742563314512356, score=0.800892 -   1.5s
[CV] c1=0.1689631364837027, c2=0.02206880085184593 ...................
[CV]  c1=0.1689631364837027, c2=0.02206880085184593, score=0.851061 -   1.5s
[CV] c1=1.6493488704046586, c2=0.08972671753929702 ...................
[CV]  c1=1.6493488704046586, c2=0.08972671753929702, score=0.730509 -   1.5s
[CV] c1=0.5372421214174691, c2=0.07523338116733261 ...................
[CV]  c1=0.5372421214174691, c2=0.07523338116733261, score=0.821892 -   1.4s
[CV] c1=0.4852261138509036, c2=0.025147996352290244 ..................
[CV]  c1=0.4852261138509036, c2=0.025147996352290244, score=0.878066 -   1.7s
[CV] c1=0.1391100124518207, c2=0.029146592970682346 ..................
[CV]  c1=0.1391100124518207, c2=0.029146592970682346, score=0.851061 -   1.4s
[CV] c1=0.5452453304262193, c2=0.010806292055544856 ..................
[CV]  c1=0.5452453304262193, c2=0.010806292055544856, score=0.824141 -   1.5s
[CV] c1=0.3643307085370925, c2=0.01637022101981155 ...................
[CV]  c1=0.3643307085370925, c2=0.01637022101981155, score=0.820508 -   1.6s
[CV] c1=0.30775433143596564, c2=0.01982968594577648 ..................
[CV]  c1=0.30775433143596564, c2=0.01982968594577648, score=0.889773 -   1.6s
[CV] c1=0.07213680085805456, c2=0.03772449829104393 ..................
[CV]  c1=0.07213680085805456, c2=0.03772449829104393, score=0.857456 -   1.4s
[CV] c1=0.2759919474039698, c2=0.01726476375968212 ...................
[CV]  c1=0.2759919474039698, c2=0.01726476375968212, score=0.839090 -   1.4s
[CV] c1=0.2346871348191043, c2=0.04536641381260594 ...................
[CV]  c1=0.2346871348191043, c2=0.04536641381260594, score=0.672493 -   1.3s
[CV] c1=0.2777947433656883, c2=0.1087205609634252 ....................
[CV]  c1=0.2777947433656883, c2=0.1087205609634252, score=0.869122 -   1.4s
[CV] c1=0.2755592355630445, c2=0.022687333114868626 ..................
[CV]  c1=0.2755592355630445, c2=0.022687333114868626, score=0.820334 -   1.6s
[CV] c1=0.605090712883871, c2=0.01893154167788636 ....................
[CV]  c1=0.605090712883871, c2=0.01893154167788636, score=0.790272 -   1.5s
[CV] c1=0.32224563394077516, c2=0.030856019646777436 .................
[CV]  c1=0.32224563394077516, c2=0.030856019646777436, score=0.812163 -   1.5s
[CV] c1=3.567759410774442, c2=0.0698389256990575 .....................
[CV]  c1=3.567759410774442, c2=0.0698389256990575, score=0.359646 -   1.2s
[CV] c1=0.1404287428192883, c2=0.07446605741793792 ...................
[CV]  c1=0.1404287428192883, c2=0.07446605741793792, score=0.778618 -   1.5s
[CV] c1=0.10420151283463165, c2=0.08111518616909741 ..................
[CV]  c1=0.10420151283463165, c2=0.08111518616909741, score=0.691101 -   1.1s
[CV] c1=0.0036688661640346446, c2=0.01675965861599105 ................
[CV]  c1=0.0036688661640346446, c2=0.01675965861599105, score=0.837741 -   1.5s
[CV] c1=0.26086182600212726, c2=0.06858316756441539 ..................
[CV]  c1=0.26086182600212726, c2=0.06858316756441539, score=0.820508 -   1.5s
[CV] c1=0.23957312002330655, c2=0.04650637034883595 ..................
[CV]  c1=0.23957312002330655, c2=0.04650637034883595, score=0.885236 -   1.5s
[CV] c1=0.2891804247893258, c2=0.013972876254318171 ..................
[CV]  c1=0.2891804247893258, c2=0.013972876254318171, score=0.849584 -   1.5s
[CV] c1=0.41468947750311996, c2=0.18172276383883837 ..................
[CV]  c1=0.41468947750311996, c2=0.18172276383883837, score=0.704576 -   1.5s
[CV] c1=0.03642311811831235, c2=0.153417069068176 ....................
[CV]  c1=0.03642311811831235, c2=0.153417069068176, score=0.880050 -   1.7s
[CV] c1=0.7436130129070168, c2=0.019154754734212173 ..................
[CV]  c1=0.7436130129070168, c2=0.019154754734212173, score=0.871775 -   1.5s
[CV] c1=0.32853589221465024, c2=0.03734935838100841 ..................
[CV]  c1=0.32853589221465024, c2=0.03734935838100841, score=0.817676 -   1.5s
[CV] c1=0.32224563394077516, c2=0.030856019646777436 .................
[CV]  c1=0.32224563394077516, c2=0.030856019646777436, score=0.789286 -   1.6s
[CV] c1=3.567759410774442, c2=0.0698389256990575 .....................
[CV]  c1=3.567759410774442, c2=0.0698389256990575, score=0.601056 -   1.5s
[CV] c1=0.04078691285622204, c2=0.12000191621957024 ..................
[CV]  c1=0.04078691285622204, c2=0.12000191621957024, score=0.782589 -   1.5s
[CV] c1=0.13686606360014314, c2=0.06721374768220545 ..................
[CV]  c1=0.13686606360014314, c2=0.06721374768220545, score=0.787542 -   1.5s
[CV] c1=0.19374057097273342, c2=0.005579424776965659 .................
[CV]  c1=0.19374057097273342, c2=0.005579424776965659, score=0.856474 -   1.5s
[CV] c1=0.059775783302620115, c2=0.01908628560472441 .................
[CV]  c1=0.059775783302620115, c2=0.01908628560472441, score=0.881792 -   1.4s
[CV] c1=0.12833921337325083, c2=0.10416712540419651 ..................
[CV]  c1=0.12833921337325083, c2=0.10416712540419651, score=0.879465 -   1.5s
[CV] c1=0.7147495911055963, c2=0.04101806647404548 ...................
[CV]  c1=0.7147495911055963, c2=0.04101806647404548, score=0.659209 -   1.5s
[CV] c1=1.2984624848396915, c2=0.045848204842124436 ..................
[CV]  c1=1.2984624848396915, c2=0.045848204842124436, score=0.819614 -   1.5s
[CV] c1=0.13461264513286827, c2=0.05551876426864895 ..................
[CV]  c1=0.13461264513286827, c2=0.05551876426864895, score=0.889335 -   1.5s
[CV] c1=0.14874901590553227, c2=0.06533726356673838 ..................
[CV]  c1=0.14874901590553227, c2=0.06533726356673838, score=0.674270 -   1.1s
[CV] c1=0.23349529297144925, c2=0.023661794060841762 .................
[CV]  c1=0.23349529297144925, c2=0.023661794060841762, score=0.827104 -   1.7s
[CV] c1=0.21699597897905032, c2=0.10538217555392373 ..................
[CV]  c1=0.21699597897905032, c2=0.10538217555392373, score=0.778741 -   1.5s
[CV] c1=0.37736565505259334, c2=0.00030218693040165597 ...............
[CV]  c1=0.37736565505259334, c2=0.00030218693040165597, score=0.778316 -   1.6s
[CV] c1=0.36894174125025253, c2=0.028651097172574858 .................
[CV]  c1=0.36894174125025253, c2=0.028651097172574858, score=0.814241 -   1.6s
[CV] c1=0.10420151283463165, c2=0.08111518616909741 ..................
[CV]  c1=0.10420151283463165, c2=0.08111518616909741, score=0.787542 -   1.6s
[CV] c1=1.0980852538734023, c2=0.027293436804763118 ..................
[CV]  c1=1.0980852538734023, c2=0.027293436804763118, score=0.669087 -   1.6s
[CV] c1=0.4546768482816445, c2=0.0038721130621345943 .................
[CV]  c1=0.4546768482816445, c2=0.0038721130621345943, score=0.875147 -   1.5s
[CV] c1=0.43515194179340067, c2=0.04858947678428396 ..................
[CV]  c1=0.43515194179340067, c2=0.04858947678428396, score=0.765136 -   1.6s
[CV] c1=0.4970496252142712, c2=0.11562684809206958 ...................
[CV]  c1=0.4970496252142712, c2=0.11562684809206958, score=0.788138 -   1.5s
[CV] c1=1.5438098905326205, c2=0.07033389318438257 ...................
[CV]  c1=1.5438098905326205, c2=0.07033389318438257, score=0.561611 -   1.6s
[CV] c1=0.13461264513286827, c2=0.05551876426864895 ..................
[CV]  c1=0.13461264513286827, c2=0.05551876426864895, score=0.852828 -   1.4s
[CV] c1=0.23332082713842342, c2=0.10637675231923208 ..................
[CV]  c1=0.23332082713842342, c2=0.10637675231923208, score=0.811612 -   1.6s
[CV] c1=1.8680241079230193, c2=0.0012513997515460277 .................
[CV]  c1=1.8680241079230193, c2=0.0012513997515460277, score=0.520901 -   1.2s
[CV] c1=0.21699597897905032, c2=0.10538217555392373 ..................
[CV]  c1=0.21699597897905032, c2=0.10538217555392373, score=0.868667 -   1.5s
[CV] c1=0.765675591470504, c2=0.006590267759763152 ...................
[CV]  c1=0.765675591470504, c2=0.006590267759763152, score=0.662501 -   1.3s
[CV] c1=0.6689815067387193, c2=0.12334339510390091 ...................
[CV]  c1=0.6689815067387193, c2=0.12334339510390091, score=0.691675 -   1.5s
[CV] c1=1.48360720788056, c2=0.008794872425526236 ....................
[CV]  c1=1.48360720788056, c2=0.008794872425526236, score=0.733199 -   1.6s
[CV] c1=0.0036688661640346446, c2=0.01675965861599105 ................
[CV]  c1=0.0036688661640346446, c2=0.01675965861599105, score=0.741086 -   1.2s
[CV] c1=0.5438827879073329, c2=0.0040182160598956455 .................
[CV]  c1=0.5438827879073329, c2=0.0040182160598956455, score=0.877993 -   1.5s
[CV] c1=0.30775433143596564, c2=0.01982968594577648 ..................
[CV]  c1=0.30775433143596564, c2=0.01982968594577648, score=0.793758 -   1.6s
[CV] c1=0.21054326497303535, c2=0.03140365842113424 ..................
[CV]  c1=0.21054326497303535, c2=0.03140365842113424, score=0.881024 -   1.5s
[CV] c1=0.7812239786001232, c2=0.06270877296729775 ...................
[CV]  c1=0.7812239786001232, c2=0.06270877296729775, score=0.644650 -   1.2s
[CV] c1=0.2346871348191043, c2=0.04536641381260594 ...................
[CV]  c1=0.2346871348191043, c2=0.04536641381260594, score=0.886721 -   1.5s
[CV] c1=0.3154187683468529, c2=0.018788191665600203 ..................
[CV]  c1=0.3154187683468529, c2=0.018788191665600203, score=0.657171 -   1.2s
[CV] c1=0.7436130129070168, c2=0.019154754734212173 ..................
[CV]  c1=0.7436130129070168, c2=0.019154754734212173, score=0.757345 -   1.5s
[CV] c1=0.3327902089440841, c2=0.004133594414056319 ..................
[CV]  c1=0.3327902089440841, c2=0.004133594414056319, score=0.879099 -   1.5s
[CV] c1=0.48435074553180507, c2=0.00027586853677214477 ...............
[CV]  c1=0.48435074553180507, c2=0.00027586853677214477, score=0.878066 -   1.6s
[CV] c1=0.3884777108418319, c2=0.17399255958331863 ...................
[CV]  c1=0.3884777108418319, c2=0.17399255958331863, score=0.660843 -   1.3s
[CV] c1=0.04078691285622204, c2=0.12000191621957024 ..................
[CV]  c1=0.04078691285622204, c2=0.12000191621957024, score=0.880050 -   1.5s
[CV] c1=0.13686606360014314, c2=0.06721374768220545 ..................
[CV]  c1=0.13686606360014314, c2=0.06721374768220545, score=0.767288 -   1.6s
[CV] c1=0.19374057097273342, c2=0.005579424776965659 .................
[CV]  c1=0.19374057097273342, c2=0.005579424776965659, score=0.794466 -   1.5s
[CV] c1=0.059775783302620115, c2=0.01908628560472441 .................
[CV]  c1=0.059775783302620115, c2=0.01908628560472441, score=0.813323 -   1.6s
[CV] c1=0.42965099290929143, c2=0.048970439448327054 .................
[CV]  c1=0.42965099290929143, c2=0.048970439448327054, score=0.868667 -   1.6s
[CV] c1=0.10494867831333105, c2=0.014154327562454772 .................
[CV]  c1=0.10494867831333105, c2=0.014154327562454772, score=0.691749 -   1.2s
[CV] c1=1.5438098905326205, c2=0.07033389318438257 ...................
[CV]  c1=1.5438098905326205, c2=0.07033389318438257, score=0.611450 -   1.7s
[CV] c1=0.13461264513286827, c2=0.05551876426864895 ..................
[CV]  c1=0.13461264513286827, c2=0.05551876426864895, score=0.791036 -   1.5s
[CV] c1=0.23332082713842342, c2=0.10637675231923208 ..................
[CV]  c1=0.23332082713842342, c2=0.10637675231923208, score=0.665231 -   1.1s
[CV] c1=0.23349529297144925, c2=0.023661794060841762 .................
[CV]  c1=0.23349529297144925, c2=0.023661794060841762, score=0.675533 -   1.3s
[CV] c1=0.40427406981261044, c2=0.13256226676684607 ..................
[CV]  c1=0.40427406981261044, c2=0.13256226676684607, score=0.870471 -   1.6s
[CV] c1=0.010768822256624434, c2=0.0777339562711509 ..................
[CV]  c1=0.010768822256624434, c2=0.0777339562711509, score=0.877791 -   1.6s
[CV] c1=0.6689815067387193, c2=0.12334339510390091 ...................
[CV]  c1=0.6689815067387193, c2=0.12334339510390091, score=0.619581 -   1.3s
[CV] c1=0.1391100124518207, c2=0.029146592970682346 ..................
[CV]  c1=0.1391100124518207, c2=0.029146592970682346, score=0.799353 -   1.5s
[CV] c1=0.5452453304262193, c2=0.010806292055544856 ..................
[CV]  c1=0.5452453304262193, c2=0.010806292055544856, score=0.780365 -   1.6s
[CV] c1=0.5438827879073329, c2=0.0040182160598956455 .................
[CV]  c1=0.5438827879073329, c2=0.0040182160598956455, score=0.684247 -   1.3s
[CV] c1=0.2519208420633794, c2=0.037198889137296146 ..................
[CV]  c1=0.2519208420633794, c2=0.037198889137296146, score=0.662631 -   1.3s
[CV] c1=0.12833921337325083, c2=0.10416712540419651 ..................
[CV]  c1=0.12833921337325083, c2=0.10416712540419651, score=0.850588 -   1.5s
[CV] c1=0.7147495911055963, c2=0.04101806647404548 ...................
[CV]  c1=0.7147495911055963, c2=0.04101806647404548, score=0.795530 -   1.6s
[CV] c1=1.002102809622162, c2=0.2708633101207173 .....................
[CV]  c1=1.002102809622162, c2=0.2708633101207173, score=0.594267 -   1.6s
[CV] c1=0.3154187683468529, c2=0.018788191665600203 ..................
[CV]  c1=0.3154187683468529, c2=0.018788191665600203, score=0.832842 -   1.2s
[CV] c1=0.14874901590553227, c2=0.06533726356673838 ..................
[CV]  c1=0.14874901590553227, c2=0.06533726356673838, score=0.889553 -   1.4s
[CV] c1=1.8680241079230193, c2=0.0012513997515460277 .................
[CV]  c1=1.8680241079230193, c2=0.0012513997515460277, score=0.771180 -   1.5s
[CV] c1=0.04927884872899443, c2=0.006258329733624678 .................
[CV]  c1=0.04927884872899443, c2=0.006258329733624678, score=0.706899 -   1.2s
[CV] c1=0.765675591470504, c2=0.006590267759763152 ...................
[CV]  c1=0.765675591470504, c2=0.006590267759763152, score=0.857926 -   1.6s
[CV] c1=0.030898950809914023, c2=0.004484786228530031 ................
[CV]  c1=0.030898950809914023, c2=0.004484786228530031, score=0.705534 -   1.2s
[CV] c1=1.48360720788056, c2=0.008794872425526236 ....................
[CV]  c1=1.48360720788056, c2=0.008794872425526236, score=0.570708 -   1.3s
[CV] c1=0.5452453304262193, c2=0.010806292055544856 ..................
[CV]  c1=0.5452453304262193, c2=0.010806292055544856, score=0.878432 -   1.5s
[CV] c1=0.3643307085370925, c2=0.01637022101981155 ...................
[CV]  c1=0.3643307085370925, c2=0.01637022101981155, score=0.847386 -   1.6s
[CV] c1=0.2519208420633794, c2=0.037198889137296146 ..................
[CV]  c1=0.2519208420633794, c2=0.037198889137296146, score=0.814363 -   1.6s
[CV] c1=0.07213680085805456, c2=0.03772449829104393 ..................
[CV]  c1=0.07213680085805456, c2=0.03772449829104393, score=0.696076 -   1.2s
[CV] c1=0.10494867831333105, c2=0.014154327562454772 .................
[CV]  c1=0.10494867831333105, c2=0.014154327562454772, score=0.880377 -   1.5s
[CV] c1=1.002102809622162, c2=0.2708633101207173 .....................
[CV]  c1=1.002102809622162, c2=0.2708633101207173, score=0.553274 -   1.3s
[CV] c1=0.13461264513286827, c2=0.05551876426864895 ..................
[CV]  c1=0.13461264513286827, c2=0.05551876426864895, score=0.671667 -   1.2s
[CV] c1=0.3521125256022878, c2=0.015682195968417797 ..................
[CV]  c1=0.3521125256022878, c2=0.015682195968417797, score=0.779896 -   1.5s
[CV] c1=0.3327902089440841, c2=0.004133594414056319 ..................
[CV]  c1=0.3327902089440841, c2=0.004133594414056319, score=0.797093 -   1.6s
[CV] c1=0.11322705554825763, c2=0.042085389571648514 .................
[CV]  c1=0.11322705554825763, c2=0.042085389571648514, score=0.672160 -   1.2s
[CV] c1=0.04992806486260107, c2=0.04865258543370034 ..................
[CV]  c1=0.04992806486260107, c2=0.04865258543370034, score=0.807990 -   1.5s
[CV] c1=0.330614099354637, c2=0.014026861764720093 ...................
[CV]  c1=0.330614099354637, c2=0.014026861764720093, score=0.814363 -   1.6s
[CV] c1=0.13686606360014314, c2=0.06721374768220545 ..................
[CV]  c1=0.13686606360014314, c2=0.06721374768220545, score=0.852828 -   1.4s
[CV] c1=0.7152236155573353, c2=0.0005859993773227859 .................
[CV]  c1=0.7152236155573353, c2=0.0005859993773227859, score=0.857448 -   1.6s
[CV] c1=0.4546768482816445, c2=0.0038721130621345943 .................
[CV]  c1=0.4546768482816445, c2=0.0038721130621345943, score=0.741754 -   1.5s
[CV] c1=0.43515194179340067, c2=0.04858947678428396 ..................
[CV]  c1=0.43515194179340067, c2=0.04858947678428396, score=0.806801 -   1.6s
[CV] c1=0.7147495911055963, c2=0.04101806647404548 ...................
[CV]  c1=0.7147495911055963, c2=0.04101806647404548, score=0.709317 -   1.5s
[CV] c1=1.2984624848396915, c2=0.045848204842124436 ..................
[CV]  c1=1.2984624848396915, c2=0.045848204842124436, score=0.573503 -   1.5s
[CV] c1=0.2777947433656883, c2=0.1087205609634252 ....................
[CV]  c1=0.2777947433656883, c2=0.1087205609634252, score=0.764789 -   1.4s
[CV] c1=0.6344766605832503, c2=0.06235816218304252 ...................
[CV]  c1=0.6344766605832503, c2=0.06235816218304252, score=0.712555 -   1.6s
[CV] c1=0.36839296248112013, c2=0.058325013736890564 .................
[CV]  c1=0.36839296248112013, c2=0.058325013736890564, score=0.809457 -   1.9s
[CV] c1=0.010768822256624434, c2=0.0777339562711509 ..................
[CV]  c1=0.010768822256624434, c2=0.0777339562711509, score=0.694686 -   1.2s
[CV] c1=0.4852261138509036, c2=0.025147996352290244 ..................
[CV]  c1=0.4852261138509036, c2=0.025147996352290244, score=0.818490 -   1.5s
[CV] c1=0.1391100124518207, c2=0.029146592970682346 ..................
[CV]  c1=0.1391100124518207, c2=0.029146592970682346, score=0.882906 -   1.5s
[CV] c1=0.5452453304262193, c2=0.010806292055544856 ..................
[CV]  c1=0.5452453304262193, c2=0.010806292055544856, score=0.760347 -   1.5s
[CV] c1=0.3643307085370925, c2=0.01637022101981155 ...................
[CV]  c1=0.3643307085370925, c2=0.01637022101981155, score=0.776876 -   1.5s
[CV] c1=0.2519208420633794, c2=0.037198889137296146 ..................
[CV]  c1=0.2519208420633794, c2=0.037198889137296146, score=0.839090 -   1.5s
[CV] c1=0.42965099290929143, c2=0.048970439448327054 .................
[CV]  c1=0.42965099290929143, c2=0.048970439448327054, score=0.837716 -   1.5s
[CV] c1=0.10494867831333105, c2=0.014154327562454772 .................
[CV]  c1=0.10494867831333105, c2=0.014154327562454772, score=0.797924 -   1.5s
[CV] c1=1.002102809622162, c2=0.2708633101207173 .....................
[CV]  c1=1.002102809622162, c2=0.2708633101207173, score=0.647972 -   1.6s
[CV] c1=0.3154187683468529, c2=0.018788191665600203 ..................
[CV]  c1=0.3154187683468529, c2=0.018788191665600203, score=0.889407 -   1.4s
[CV] c1=0.3521125256022878, c2=0.015682195968417797 ..................
[CV]  c1=0.3521125256022878, c2=0.015682195968417797, score=0.828795 -   1.6s
[CV] c1=0.36839296248112013, c2=0.058325013736890564 .................
[CV]  c1=0.36839296248112013, c2=0.058325013736890564, score=0.760843 -   1.5s
[CV] c1=0.11322705554825763, c2=0.042085389571648514 .................
[CV]  c1=0.11322705554825763, c2=0.042085389571648514, score=0.847537 -   1.4s
[CV] c1=0.3884777108418319, c2=0.17399255958331863 ...................
[CV]  c1=0.3884777108418319, c2=0.17399255958331863, score=0.740981 -   1.6s
[CV] c1=0.2624311869649458, c2=0.008605271141833489 ..................
[CV]  c1=0.2624311869649458, c2=0.008605271141833489, score=0.808864 -   1.6s
[CV] c1=0.5452453304262193, c2=0.010806292055544856 ..................
[CV]  c1=0.5452453304262193, c2=0.010806292055544856, score=0.674264 -   1.2s
[CV] c1=0.19374057097273342, c2=0.005579424776965659 .................
[CV]  c1=0.19374057097273342, c2=0.005579424776965659, score=0.886355 -   1.5s
[CV] c1=0.4546768482816445, c2=0.0038721130621345943 .................
[CV]  c1=0.4546768482816445, c2=0.0038721130621345943, score=0.797862 -   1.5s
[CV] c1=0.12833921337325083, c2=0.10416712540419651 ..................
[CV]  c1=0.12833921337325083, c2=0.10416712540419651, score=0.673589 -   1.5s
[CV] c1=0.7147495911055963, c2=0.04101806647404548 ...................
[CV]  c1=0.7147495911055963, c2=0.04101806647404548, score=0.857448 -   1.5s
[CV] c1=1.2984624848396915, c2=0.045848204842124436 ..................
[CV]  c1=1.2984624848396915, c2=0.045848204842124436, score=0.641621 -   1.5s
[CV] c1=0.13461264513286827, c2=0.05551876426864895 ..................
[CV]  c1=0.13461264513286827, c2=0.05551876426864895, score=0.785099 -   1.5s
[CV] c1=0.1689631364837027, c2=0.02206880085184593 ...................
[CV]  c1=0.1689631364837027, c2=0.02206880085184593, score=0.870738 -   1.6s
[CV] c1=1.6493488704046586, c2=0.08972671753929702 ...................
[CV]  c1=1.6493488704046586, c2=0.08972671753929702, score=0.527153 -   1.2s
[CV] c1=0.48435074553180507, c2=0.00027586853677214477 ...............
[CV]  c1=0.48435074553180507, c2=0.00027586853677214477, score=0.715346 -   1.2s
[CV] c1=1.0190234741276387, c2=0.020979120021187594 ..................
[CV]  c1=1.0190234741276387, c2=0.020979120021187594, score=0.588448 -   1.2s
[CV] c1=0.36894174125025253, c2=0.028651097172574858 .................
[CV]  c1=0.36894174125025253, c2=0.028651097172574858, score=0.879194 -   1.5s
[CV] c1=0.04798803743412485, c2=0.07048187324482792 ..................
[CV]  c1=0.04798803743412485, c2=0.07048187324482792, score=0.873621 -   1.5s
[CV] c1=0.18447821820777272, c2=0.00040858046238523185 ...............
[CV]  c1=0.18447821820777272, c2=0.00040858046238523185, score=0.874888 -   1.5s
[CV] c1=0.13450230541973002, c2=0.023951250181480546 .................
[CV]  c1=0.13450230541973002, c2=0.023951250181480546, score=0.875732 -   1.5s
[CV] c1=0.23957312002330655, c2=0.04650637034883595 ..................
[CV]  c1=0.23957312002330655, c2=0.04650637034883595, score=0.659827 -   1.3s
[CV] c1=0.21054326497303535, c2=0.03140365842113424 ..................
[CV]  c1=0.21054326497303535, c2=0.03140365842113424, score=0.801195 -   1.6s
[CV] c1=0.41468947750311996, c2=0.18172276383883837 ..................
[CV]  c1=0.41468947750311996, c2=0.18172276383883837, score=0.859556 -   1.5s
[CV] c1=0.10724416249811214, c2=0.01520199866728039 ..................
[CV]  c1=0.10724416249811214, c2=0.01520199866728039, score=0.881792 -   1.5s
[CV] c1=0.0220088948866951, c2=0.07796062857856151 ...................
[CV]  c1=0.0220088948866951, c2=0.07796062857856151, score=0.696635 -   1.0s
[CV] c1=0.2755592355630445, c2=0.022687333114868626 ..................
[CV]  c1=0.2755592355630445, c2=0.022687333114868626, score=0.657163 -   1.4s
[CV] c1=1.8680241079230193, c2=0.0012513997515460277 .................
[CV]  c1=1.8680241079230193, c2=0.0012513997515460277, score=0.548124 -   1.6s
[CV] c1=0.26625226660661055, c2=0.02746753019956373 ..................
[CV]  c1=0.26625226660661055, c2=0.02746753019956373, score=0.814363 -   1.6s
[CV] c1=0.04992806486260107, c2=0.04865258543370034 ..................
[CV]  c1=0.04992806486260107, c2=0.04865258543370034, score=0.684509 -   1.2s
[CV] c1=0.1404287428192883, c2=0.07446605741793792 ...................
[CV]  c1=0.1404287428192883, c2=0.07446605741793792, score=0.883573 -   1.6s
[CV] c1=0.21361261316488064, c2=0.0018931625063237601 ................
[CV]  c1=0.21361261316488064, c2=0.0018931625063237601, score=0.877517 -   1.5s
[CV] c1=1.0980852538734023, c2=0.027293436804763118 ..................
[CV]  c1=1.0980852538734023, c2=0.027293436804763118, score=0.595784 -   1.3s
[CV] c1=0.13450230541973002, c2=0.023951250181480546 .................
[CV]  c1=0.13450230541973002, c2=0.023951250181480546, score=0.805377 -   1.6s
[CV] c1=0.5615101263018096, c2=0.028351712257579237 ..................
[CV]  c1=0.5615101263018096, c2=0.028351712257579237, score=0.660982 -   1.2s
[CV] c1=0.21054326497303535, c2=0.03140365842113424 ..................
[CV]  c1=0.21054326497303535, c2=0.03140365842113424, score=0.817789 -   1.5s
[CV] c1=0.41468947750311996, c2=0.18172276383883837 ..................
[CV]  c1=0.41468947750311996, c2=0.18172276383883837, score=0.658901 -   1.2s
[CV] c1=0.12508962574647095, c2=0.0026720826751303658 ................
[CV]  c1=0.12508962574647095, c2=0.0026720826751303658, score=0.854213 -   1.5s
[CV] c1=0.26124263216050614, c2=0.03619788701434234 ..................
[CV]  c1=0.26124263216050614, c2=0.03619788701434234, score=0.668161 -   1.1s
[CV] c1=0.14874901590553227, c2=0.06533726356673838 ..................
[CV]  c1=0.14874901590553227, c2=0.06533726356673838, score=0.852828 -   1.3s
[CV] c1=0.8191148337248148, c2=0.00030100747809674346 ................
[CV]  c1=0.8191148337248148, c2=0.00030100747809674346, score=0.676694 -   1.6s
[CV] c1=0.26625226660661055, c2=0.02746753019956373 ..................
[CV]  c1=0.26625226660661055, c2=0.02746753019956373, score=0.886827 -   1.6s
[CV] c1=1.0190234741276387, c2=0.020979120021187594 ..................
[CV]  c1=1.0190234741276387, c2=0.020979120021187594, score=0.791284 -   1.4s
[CV] c1=0.1404287428192883, c2=0.07446605741793792 ...................
[CV]  c1=0.1404287428192883, c2=0.07446605741793792, score=0.665743 -   1.2s
[CV] c1=0.04798803743412485, c2=0.07048187324482792 ..................
[CV]  c1=0.04798803743412485, c2=0.07048187324482792, score=0.692640 -   1.2s
[CV] c1=0.2270663495169445, c2=0.017541427725577523 ..................
[CV]  c1=0.2270663495169445, c2=0.017541427725577523, score=0.844193 -   1.4s
[CV] c1=0.5438827879073329, c2=0.0040182160598956455 .................
[CV]  c1=0.5438827879073329, c2=0.0040182160598956455, score=0.811197 -   1.7s
[CV] c1=0.1363296317862595, c2=0.11756501748338487 ...................
[CV]  c1=0.1363296317862595, c2=0.11756501748338487, score=0.841406 -   1.5s
[CV] c1=0.21054326497303535, c2=0.03140365842113424 ..................
[CV]  c1=0.21054326497303535, c2=0.03140365842113424, score=0.848722 -   1.4s
[CV] c1=0.7812239786001232, c2=0.06270877296729775 ...................
[CV]  c1=0.7812239786001232, c2=0.06270877296729775, score=0.781397 -   1.6s
[CV] c1=0.10724416249811214, c2=0.01520199866728039 ..................
[CV]  c1=0.10724416249811214, c2=0.01520199866728039, score=0.688999 -   1.2s
[CV] c1=0.26124263216050614, c2=0.03619788701434234 ..................
[CV]  c1=0.26124263216050614, c2=0.03619788701434234, score=0.891210 -   1.3s
[CV] c1=0.1689631364837027, c2=0.02206880085184593 ...................
[CV]  c1=0.1689631364837027, c2=0.02206880085184593, score=0.809489 -   1.5s
[CV] c1=1.6493488704046586, c2=0.08972671753929702 ...................
[CV]  c1=1.6493488704046586, c2=0.08972671753929702, score=0.588630 -   1.5s
[CV] c1=0.5372421214174691, c2=0.07523338116733261 ...................
[CV]  c1=0.5372421214174691, c2=0.07523338116733261, score=0.714341 -   1.6s
[CV] c1=0.4852261138509036, c2=0.025147996352290244 ..................
[CV]  c1=0.4852261138509036, c2=0.025147996352290244, score=0.800707 -   1.6s
[CV] c1=1.48360720788056, c2=0.008794872425526236 ....................
[CV]  c1=1.48360720788056, c2=0.008794872425526236, score=0.800739 -   1.5s
[CV] c1=0.2270663495169445, c2=0.017541427725577523 ..................
[CV]  c1=0.2270663495169445, c2=0.017541427725577523, score=0.885236 -   1.6s
[CV] c1=0.5438827879073329, c2=0.0040182160598956455 .................
[CV]  c1=0.5438827879073329, c2=0.0040182160598956455, score=0.751165 -   1.5s
[CV] c1=0.30775433143596564, c2=0.01982968594577648 ..................
[CV]  c1=0.30775433143596564, c2=0.01982968594577648, score=0.820508 -   1.6s
[CV] c1=0.21054326497303535, c2=0.03140365842113424 ..................
[CV]  c1=0.21054326497303535, c2=0.03140365842113424, score=0.676739 -   1.3s
[CV] c1=0.2759919474039698, c2=0.01726476375968212 ...................
[CV]  c1=0.2759919474039698, c2=0.01726476375968212, score=0.889098 -   1.5s
[CV] c1=0.2346871348191043, c2=0.04536641381260594 ...................
[CV]  c1=0.2346871348191043, c2=0.04536641381260594, score=0.769410 -   1.5s
[CV] c1=0.3154187683468529, c2=0.018788191665600203 ..................
[CV]  c1=0.3154187683468529, c2=0.018788191665600203, score=0.812163 -   1.4s
[CV] c1=0.23332082713842342, c2=0.10637675231923208 ..................
[CV]  c1=0.23332082713842342, c2=0.10637675231923208, score=0.868667 -   1.2s
[CV] c1=0.23349529297144925, c2=0.023661794060841762 .................
[CV]  c1=0.23349529297144925, c2=0.023661794060841762, score=0.784143 -   1.6s
[CV] c1=0.40427406981261044, c2=0.13256226676684607 ..................
[CV]  c1=0.40427406981261044, c2=0.13256226676684607, score=0.816482 -   1.5s
[CV] c1=0.010768822256624434, c2=0.0777339562711509 ..................
[CV]  c1=0.010768822256624434, c2=0.0777339562711509, score=0.847537 -   1.6s
[CV] c1=0.6689815067387193, c2=0.12334339510390091 ...................
[CV]  c1=0.6689815067387193, c2=0.12334339510390091, score=0.701235 -   1.6s
[CV] c1=0.4809452977619614, c2=0.028091502602496043 ..................
[CV]  c1=0.4809452977619614, c2=0.028091502602496043, score=0.687927 -   1.3s
[CV] c1=0.2270663495169445, c2=0.017541427725577523 ..................
[CV]  c1=0.2270663495169445, c2=0.017541427725577523, score=0.792900 -   1.6s
[CV] c1=0.26086182600212726, c2=0.06858316756441539 ..................
[CV]  c1=0.26086182600212726, c2=0.06858316756441539, score=0.874928 -   1.5s
[CV] c1=0.1363296317862595, c2=0.11756501748338487 ...................
[CV]  c1=0.1363296317862595, c2=0.11756501748338487, score=0.674031 -   1.3s
[CV] c1=0.07213680085805456, c2=0.03772449829104393 ..................
[CV]  c1=0.07213680085805456, c2=0.03772449829104393, score=0.878734 -   1.5s
[CV] c1=0.2759919474039698, c2=0.01726476375968212 ...................
[CV]  c1=0.2759919474039698, c2=0.01726476375968212, score=0.800895 -   1.5s
[CV] c1=0.2346871348191043, c2=0.04536641381260594 ...................
[CV]  c1=0.2346871348191043, c2=0.04536641381260594, score=0.838079 -   1.5s
[CV] c1=0.3154187683468529, c2=0.018788191665600203 ..................
[CV]  c1=0.3154187683468529, c2=0.018788191665600203, score=0.761253 -   1.4s
[CV] c1=0.3521125256022878, c2=0.015682195968417797 ..................
[CV]  c1=0.3521125256022878, c2=0.015682195968417797, score=0.658299 -   1.3s
[CV] c1=0.32853589221465024, c2=0.03734935838100841 ..................
[CV]  c1=0.32853589221465024, c2=0.03734935838100841, score=0.837316 -   1.5s
[CV] c1=0.32224563394077516, c2=0.030856019646777436 .................
[CV]  c1=0.32224563394077516, c2=0.030856019646777436, score=0.664944 -   1.2s
[CV] c1=0.37736565505259334, c2=0.00030218693040165597 ...............
[CV]  c1=0.37736565505259334, c2=0.00030218693040165597, score=0.706036 -   1.2s
[CV] c1=0.6689815067387193, c2=0.12334339510390091 ...................
[CV]  c1=0.6689815067387193, c2=0.12334339510390091, score=0.822025 -   1.4s
[CV] c1=1.48360720788056, c2=0.008794872425526236 ....................
[CV]  c1=1.48360720788056, c2=0.008794872425526236, score=0.568096 -   1.6s
[CV] c1=0.0036688661640346446, c2=0.01675965861599105 ................
[CV]  c1=0.0036688661640346446, c2=0.01675965861599105, score=0.861607 -   1.4s
[CV] c1=0.5438827879073329, c2=0.0040182160598956455 .................
[CV]  c1=0.5438827879073329, c2=0.0040182160598956455, score=0.809514 -   1.5s
[CV] c1=0.30775433143596564, c2=0.01982968594577648 ..................
[CV]  c1=0.30775433143596564, c2=0.01982968594577648, score=0.837316 -   1.5s
[CV] c1=0.07213680085805456, c2=0.03772449829104393 ..................
[CV]  c1=0.07213680085805456, c2=0.03772449829104393, score=0.815835 -   1.5s
[CV] c1=0.2759919474039698, c2=0.01726476375968212 ...................
[CV]  c1=0.2759919474039698, c2=0.01726476375968212, score=0.814241 -   1.6s
[CV] c1=0.12508962574647095, c2=0.0026720826751303658 ................
[CV]  c1=0.12508962574647095, c2=0.0026720826751303658, score=0.687479 -   1.2s
[CV] c1=0.2777947433656883, c2=0.1087205609634252 ....................
[CV]  c1=0.2777947433656883, c2=0.1087205609634252, score=0.781296 -   1.5s
[CV] c1=0.1689631364837027, c2=0.02206880085184593 ...................
[CV]  c1=0.1689631364837027, c2=0.02206880085184593, score=0.812611 -   1.6s
[CV] c1=1.6493488704046586, c2=0.08972671753929702 ...................
[CV]  c1=1.6493488704046586, c2=0.08972671753929702, score=0.561611 -   1.6s
[CV] c1=0.5372421214174691, c2=0.07523338116733261 ...................
[CV]  c1=0.5372421214174691, c2=0.07523338116733261, score=0.769851 -   1.6s
[CV] c1=0.6689815067387193, c2=0.12334339510390091 ...................
[CV]  c1=0.6689815067387193, c2=0.12334339510390091, score=0.850576 -   1.6s
[CV] c1=1.48360720788056, c2=0.008794872425526236 ....................
[CV]  c1=1.48360720788056, c2=0.008794872425526236, score=0.626994 -   1.6s
[CV] c1=0.2270663495169445, c2=0.017541427725577523 ..................
[CV]  c1=0.2270663495169445, c2=0.017541427725577523, score=0.808814 -   1.5s
[CV] c1=0.26086182600212726, c2=0.06858316756441539 ..................
[CV]  c1=0.26086182600212726, c2=0.06858316756441539, score=0.767498 -   1.5s
[CV] c1=0.1363296317862595, c2=0.11756501748338487 ...................
[CV]  c1=0.1363296317862595, c2=0.11756501748338487, score=0.763885 -   1.6s
[CV] c1=0.2891804247893258, c2=0.013972876254318171 ..................
[CV]  c1=0.2891804247893258, c2=0.013972876254318171, score=0.884781 -   1.5s
[CV] c1=0.41468947750311996, c2=0.18172276383883837 ..................
[CV]  c1=0.41468947750311996, c2=0.18172276383883837, score=0.808788 -   1.5s
[CV] c1=0.10724416249811214, c2=0.01520199866728039 ..................
[CV]  c1=0.10724416249811214, c2=0.01520199866728039, score=0.852165 -   1.4s
[CV] c1=0.0220088948866951, c2=0.07796062857856151 ...................
[CV]  c1=0.0220088948866951, c2=0.07796062857856151, score=0.852828 -   1.1s
[CV] c1=0.7436130129070168, c2=0.019154754734212173 ..................
[CV]  c1=0.7436130129070168, c2=0.019154754734212173, score=0.695546 -   1.7s
[CV] c1=0.36839296248112013, c2=0.058325013736890564 .................
[CV]  c1=0.36839296248112013, c2=0.058325013736890564, score=0.834420 -   1.4s
[CV] c1=0.11322705554825763, c2=0.042085389571648514 .................
[CV]  c1=0.11322705554825763, c2=0.042085389571648514, score=0.889335 -   1.5s
[CV] c1=0.3884777108418319, c2=0.17399255958331863 ...................
[CV]  c1=0.3884777108418319, c2=0.17399255958331863, score=0.860119 -   1.6s
[CV] c1=0.2624311869649458, c2=0.008605271141833489 ..................
[CV]  c1=0.2624311869649458, c2=0.008605271141833489, score=0.844545 -   1.5s
[CV] c1=0.9441257251272218, c2=0.15711861601547827 ...................
[CV]  c1=0.9441257251272218, c2=0.15711861601547827, score=0.583632 -   1.6s
[CV] c1=0.3643307085370925, c2=0.01637022101981155 ...................
[CV]  c1=0.3643307085370925, c2=0.01637022101981155, score=0.681062 -   1.4s
[CV] c1=0.2519208420633794, c2=0.037198889137296146 ..................
[CV]  c1=0.2519208420633794, c2=0.037198889137296146, score=0.889773 -   1.6s
[CV] c1=0.42965099290929143, c2=0.048970439448327054 .................
[CV]  c1=0.42965099290929143, c2=0.048970439448327054, score=0.748229 -   1.6s
[CV] c1=0.10494867831333105, c2=0.014154327562454772 .................
[CV]  c1=0.10494867831333105, c2=0.014154327562454772, score=0.786025 -   1.6s
[CV] c1=0.2346871348191043, c2=0.04536641381260594 ...................
[CV]  c1=0.2346871348191043, c2=0.04536641381260594, score=0.820722 -   1.5s
[CV] c1=0.26124263216050614, c2=0.03619788701434234 ..................
[CV]  c1=0.26124263216050614, c2=0.03619788701434234, score=0.776896 -   1.3s
[CV] c1=0.16133388452784694, c2=0.03857239128418517 ..................
[CV]  c1=0.16133388452784694, c2=0.03857239128418517, score=0.801171 -   1.2s
[CV] c1=0.8191148337248148, c2=0.00030100747809674346 ................
[CV]  c1=0.8191148337248148, c2=0.00030100747809674346, score=0.863877 -   1.6s
[CV] c1=0.21699597897905032, c2=0.10538217555392373 ..................
[CV]  c1=0.21699597897905032, c2=0.10538217555392373, score=0.668161 -   1.3s
[CV] c1=0.010768822256624434, c2=0.0777339562711509 ..................
[CV]  c1=0.010768822256624434, c2=0.0777339562711509, score=0.837741 -   1.6s
[CV] c1=0.030898950809914023, c2=0.004484786228530031 ................
[CV]  c1=0.030898950809914023, c2=0.004484786228530031, score=0.874562 -   1.5s
[CV] c1=0.4809452977619614, c2=0.028091502602496043 ..................
[CV]  c1=0.4809452977619614, c2=0.028091502602496043, score=0.878432 -   1.6s
[CV] c1=0.0036688661640346446, c2=0.01675965861599105 ................
[CV]  c1=0.0036688661640346446, c2=0.01675965861599105, score=0.853429 -   1.4s
[CV] c1=0.26086182600212726, c2=0.06858316756441539 ..................
[CV]  c1=0.26086182600212726, c2=0.06858316756441539, score=0.835054 -   1.5s
[CV] c1=0.1363296317862595, c2=0.11756501748338487 ...................
[CV]  c1=0.1363296317862595, c2=0.11756501748338487, score=0.790261 -   1.6s
[CV] c1=0.2891804247893258, c2=0.013972876254318171 ..................
[CV]  c1=0.2891804247893258, c2=0.013972876254318171, score=0.798425 -   1.6s
[CV] c1=0.06583011486607598, c2=0.05371181579946404 ..................
[CV]  c1=0.06583011486607598, c2=0.05371181579946404, score=0.876891 -   1.5s
[CV] c1=0.03642311811831235, c2=0.153417069068176 ....................
[CV]  c1=0.03642311811831235, c2=0.153417069068176, score=0.696431 -   1.2s
[CV] c1=0.26124263216050614, c2=0.03619788701434234 ..................
[CV]  c1=0.26124263216050614, c2=0.03619788701434234, score=0.852286 -   1.2s
[CV] c1=0.14874901590553227, c2=0.06533726356673838 ..................
[CV]  c1=0.14874901590553227, c2=0.06533726356673838, score=0.787546 -   1.5s
[CV] c1=0.32853589221465024, c2=0.03734935838100841 ..................
[CV]  c1=0.32853589221465024, c2=0.03734935838100841, score=0.668161 -   1.2s
[CV] c1=0.21699597897905032, c2=0.10538217555392373 ..................
[CV]  c1=0.21699597897905032, c2=0.10538217555392373, score=0.752767 -   1.6s
[CV] c1=0.765675591470504, c2=0.006590267759763152 ...................
[CV]  c1=0.765675591470504, c2=0.006590267759763152, score=0.713701 -   1.6s
[CV] c1=0.36894174125025253, c2=0.028651097172574858 .................
[CV]  c1=0.36894174125025253, c2=0.028651097172574858, score=0.763528 -   1.5s
[CV] c1=0.04798803743412485, c2=0.07048187324482792 ..................
[CV]  c1=0.04798803743412485, c2=0.07048187324482792, score=0.852828 -   1.5s
[CV] c1=0.18447821820777272, c2=0.00040858046238523185 ...............
[CV]  c1=0.18447821820777272, c2=0.00040858046238523185, score=0.700792 -   1.2s
[CV] c1=0.26086182600212726, c2=0.06858316756441539 ..................
[CV]  c1=0.26086182600212726, c2=0.06858316756441539, score=0.668161 -   1.3s
[CV] c1=0.30775433143596564, c2=0.01982968594577648 ..................
[CV]  c1=0.30775433143596564, c2=0.01982968594577648, score=0.675533 -   1.2s
[CV] c1=0.12833921337325083, c2=0.10416712540419651 ..................
[CV]  c1=0.12833921337325083, c2=0.10416712540419651, score=0.790261 -   1.6s
[CV] c1=0.10494867831333105, c2=0.014154327562454772 .................
[CV]  c1=0.10494867831333105, c2=0.014154327562454772, score=0.857456 -   1.5s
[CV] c1=1.002102809622162, c2=0.2708633101207173 .....................
[CV]  c1=1.002102809622162, c2=0.2708633101207173, score=0.739872 -   1.4s
[CV] c1=0.2777947433656883, c2=0.1087205609634252 ....................
[CV]  c1=0.2777947433656883, c2=0.1087205609634252, score=0.832107 -   1.6s
[CV] c1=0.2755592355630445, c2=0.022687333114868626 ..................
[CV]  c1=0.2755592355630445, c2=0.022687333114868626, score=0.792986 -   1.5s
[CV] c1=0.605090712883871, c2=0.01893154167788636 ....................
[CV]  c1=0.605090712883871, c2=0.01893154167788636, score=0.674264 -   1.2s
[CV] c1=0.04927884872899443, c2=0.006258329733624678 .................
[CV]  c1=0.04927884872899443, c2=0.006258329733624678, score=0.872679 -   1.6s
[CV] c1=0.37736565505259334, c2=0.00030218693040165597 ...............
[CV]  c1=0.37736565505259334, c2=0.00030218693040165597, score=0.844783 -   1.5s
[CV] c1=0.36894174125025253, c2=0.028651097172574858 .................
[CV]  c1=0.36894174125025253, c2=0.028651097172574858, score=0.832790 -   1.5s
[CV] c1=0.10420151283463165, c2=0.08111518616909741 ..................
[CV]  c1=0.10420151283463165, c2=0.08111518616909741, score=0.887223 -   1.5s
[CV] c1=0.39639998264962156, c2=0.004290427429449114 .................
[CV]  c1=0.39639998264962156, c2=0.004290427429449114, score=0.708348 -   1.3s
[CV] c1=0.13450230541973002, c2=0.023951250181480546 .................
[CV]  c1=0.13450230541973002, c2=0.023951250181480546, score=0.788117 -   1.6s
[CV] c1=0.5615101263018096, c2=0.028351712257579237 ..................
[CV]  c1=0.5615101263018096, c2=0.028351712257579237, score=0.877993 -   1.4s
[CV] c1=0.2891804247893258, c2=0.013972876254318171 ..................
[CV]  c1=0.2891804247893258, c2=0.013972876254318171, score=0.802720 -   1.5s
[CV] c1=0.06583011486607598, c2=0.05371181579946404 ..................
[CV]  c1=0.06583011486607598, c2=0.05371181579946404, score=0.683175 -   1.2s
[CV] c1=0.12508962574647095, c2=0.0026720826751303658 ................
[CV]  c1=0.12508962574647095, c2=0.0026720826751303658, score=0.851662 -   1.4s
[CV] c1=0.26124263216050614, c2=0.03619788701434234 ..................
[CV]  c1=0.26124263216050614, c2=0.03619788701434234, score=0.815946 -   1.2s
[CV] c1=0.3521125256022878, c2=0.015682195968417797 ..................
[CV]  c1=0.3521125256022878, c2=0.015682195968417797, score=0.894180 -   1.5s
[CV] c1=0.3327902089440841, c2=0.004133594414056319 ..................
[CV]  c1=0.3327902089440841, c2=0.004133594414056319, score=0.839195 -   1.5s
[CV] c1=0.48435074553180507, c2=0.00027586853677214477 ...............
[CV]  c1=0.48435074553180507, c2=0.00027586853677214477, score=0.828924 -   1.5s
[CV] c1=3.567759410774442, c2=0.0698389256990575 .....................
[CV]  c1=3.567759410774442, c2=0.0698389256990575, score=0.529276 -   1.5s
[CV] c1=0.04078691285622204, c2=0.12000191621957024 ..................
[CV]  c1=0.04078691285622204, c2=0.12000191621957024, score=0.852828 -   1.4s
[CV] c1=0.13686606360014314, c2=0.06721374768220545 ..................
[CV]  c1=0.13686606360014314, c2=0.06721374768220545, score=0.668069 -   1.2s
[CV] c1=1.0980852538734023, c2=0.027293436804763118 ..................
[CV]  c1=1.0980852538734023, c2=0.027293436804763118, score=0.830651 -   1.5s
[CV] c1=0.2634801609209307, c2=0.03009411744761469 ...................
[CV]  c1=0.2634801609209307, c2=0.03009411744761469, score=0.709008 -   1.2s
[CV] c1=0.23957312002330655, c2=0.04650637034883595 ..................
[CV]  c1=0.23957312002330655, c2=0.04650637034883595, score=0.844895 -   1.4s
[CV] c1=0.2891804247893258, c2=0.013972876254318171 ..................
[CV]  c1=0.2891804247893258, c2=0.013972876254318171, score=0.709008 -   1.3s
[CV] c1=0.7812239786001232, c2=0.06270877296729775 ...................
[CV]  c1=0.7812239786001232, c2=0.06270877296729775, score=0.694755 -   1.6s
[CV] c1=0.12508962574647095, c2=0.0026720826751303658 ................
[CV]  c1=0.12508962574647095, c2=0.0026720826751303658, score=0.808864 -   1.5s
[CV] c1=0.0220088948866951, c2=0.07796062857856151 ...................
[CV]  c1=0.0220088948866951, c2=0.07796062857856151, score=0.817059 -   1.1s
[CV] c1=0.16133388452784694, c2=0.03857239128418517 ..................
[CV]  c1=0.16133388452784694, c2=0.03857239128418517, score=0.820447 -   1.6s
[CV] c1=0.32853589221465024, c2=0.03734935838100841 ..................
[CV]  c1=0.32853589221465024, c2=0.03734935838100841, score=0.876584 -   1.5s
[CV] c1=0.26625226660661055, c2=0.02746753019956373 ..................
[CV]  c1=0.26625226660661055, c2=0.02746753019956373, score=0.694974 -   1.2s
[CV] c1=0.765675591470504, c2=0.006590267759763152 ...................
[CV]  c1=0.765675591470504, c2=0.006590267759763152, score=0.796551 -   1.5s
[CV] c1=0.030898950809914023, c2=0.004484786228530031 ................
[CV]  c1=0.030898950809914023, c2=0.004484786228530031, score=0.846964 -   1.5s
[CV] c1=0.4809452977619614, c2=0.028091502602496043 ..................
[CV]  c1=0.4809452977619614, c2=0.028091502602496043, score=0.833986 -   1.5s
[CV] c1=0.0036688661640346446, c2=0.01675965861599105 ................
[CV]  c1=0.0036688661640346446, c2=0.01675965861599105, score=0.805052 -   1.6s
[CV] c1=0.13450230541973002, c2=0.023951250181480546 .................
[CV]  c1=0.13450230541973002, c2=0.023951250181480546, score=0.688999 -   1.2s
[CV] c1=0.1363296317862595, c2=0.11756501748338487 ...................
[CV]  c1=0.1363296317862595, c2=0.11756501748338487, score=0.887846 -   1.5s
[CV] c1=0.07213680085805456, c2=0.03772449829104393 ..................
[CV]  c1=0.07213680085805456, c2=0.03772449829104393, score=0.791127 -   1.5s
[CV] c1=0.7812239786001232, c2=0.06270877296729775 ...................
[CV]  c1=0.7812239786001232, c2=0.06270877296729775, score=0.844147 -   1.5s
[CV] c1=0.12508962574647095, c2=0.0026720826751303658 ................
[CV]  c1=0.12508962574647095, c2=0.0026720826751303658, score=0.779641 -   1.6s
[CV] c1=0.0220088948866951, c2=0.07796062857856151 ...................
[CV]  c1=0.0220088948866951, c2=0.07796062857856151, score=0.876524 -   1.3s
[CV] c1=0.1689631364837027, c2=0.02206880085184593 ...................
[CV]  c1=0.1689631364837027, c2=0.02206880085184593, score=0.681398 -   1.2s
[CV] c1=0.605090712883871, c2=0.01893154167788636 ....................
[CV]  c1=0.605090712883871, c2=0.01893154167788636, score=0.779126 -   1.6s
[CV] c1=0.48435074553180507, c2=0.00027586853677214477 ...............
[CV]  c1=0.48435074553180507, c2=0.00027586853677214477, score=0.780391 -   1.5s
[CV] c1=3.567759410774442, c2=0.0698389256990575 .....................
[CV]  c1=3.567759410774442, c2=0.0698389256990575, score=0.558010 -   1.5s
[CV] c1=0.2624311869649458, c2=0.008605271141833489 ..................
[CV]  c1=0.2624311869649458, c2=0.008605271141833489, score=0.885513 -   1.5s
[CV] c1=0.9441257251272218, c2=0.15711861601547827 ...................
[CV]  c1=0.9441257251272218, c2=0.15711861601547827, score=0.574825 -   1.2s
[CV] c1=1.0980852538734023, c2=0.027293436804763118 ..................
[CV]  c1=1.0980852538734023, c2=0.027293436804763118, score=0.791758 -   1.4s
[CV] c1=0.2634801609209307, c2=0.03009411744761469 ...................
[CV]  c1=0.2634801609209307, c2=0.03009411744761469, score=0.792089 -   1.5s
[CV] c1=0.14208484294407503, c2=0.13554753784444845 ..................
[CV]  c1=0.14208484294407503, c2=0.13554753784444845, score=0.812764 -   1.4s
[CV] c1=0.13548015565528768, c2=0.06636719598323937 ..................
[CV]  c1=0.13548015565528768, c2=0.06636719598323937, score=0.824031 -   1.5s
[CV] c1=0.3555559947700272, c2=0.0022296727998478327 .................
[CV]  c1=0.3555559947700272, c2=0.0022296727998478327, score=0.705376 -   1.2s
[CV] c1=0.10724416249811214, c2=0.01520199866728039 ..................
[CV]  c1=0.10724416249811214, c2=0.01520199866728039, score=0.778617 -   1.5s
[CV] c1=0.6649535763732968, c2=0.008566290330535237 ..................
[CV]  c1=0.6649535763732968, c2=0.008566290330535237, score=0.694791 -   1.1s
[CV] c1=0.7436130129070168, c2=0.019154754734212173 ..................
[CV]  c1=0.7436130129070168, c2=0.019154754734212173, score=0.656641 -   1.3s
[CV] c1=0.32853589221465024, c2=0.03734935838100841 ..................
[CV]  c1=0.32853589221465024, c2=0.03734935838100841, score=0.782313 -   1.5s
[CV] c1=0.32224563394077516, c2=0.030856019646777436 .................
[CV]  c1=0.32224563394077516, c2=0.030856019646777436, score=0.876584 -   1.5s
[CV] c1=0.04992806486260107, c2=0.04865258543370034 ..................
[CV]  c1=0.04992806486260107, c2=0.04865258543370034, score=0.872732 -   1.5s
[CV] c1=0.330614099354637, c2=0.014026861764720093 ...................
[CV]  c1=0.330614099354637, c2=0.014026861764720093, score=0.786889 -   1.6s
[CV] c1=0.13686606360014314, c2=0.06721374768220545 ..................
[CV]  c1=0.13686606360014314, c2=0.06721374768220545, score=0.877876 -   1.5s
[CV] c1=0.7152236155573353, c2=0.0005859993773227859 .................
[CV]  c1=0.7152236155573353, c2=0.0005859993773227859, score=0.664675 -   1.4s
[CV] c1=0.2634801609209307, c2=0.03009411744761469 ...................
[CV]  c1=0.2634801609209307, c2=0.03009411744761469, score=0.805841 -   1.5s
[CV] c1=0.43515194179340067, c2=0.04858947678428396 ..................
[CV]  c1=0.43515194179340067, c2=0.04858947678428396, score=0.668161 -   1.4s
[CV] c1=0.8257943656429666, c2=0.017163331968504364 ..................
[CV]  c1=0.8257943656429666, c2=0.017163331968504364, score=0.673326 -   1.5s
[CV] c1=1.5438098905326205, c2=0.07033389318438257 ...................
[CV]  c1=1.5438098905326205, c2=0.07033389318438257, score=0.793110 -   1.6s
[CV] c1=0.4291373633215439, c2=0.024742563314512356 ..................
[CV]  c1=0.4291373633215439, c2=0.024742563314512356, score=0.667411 -   1.2s
[CV] c1=0.6649535763732968, c2=0.008566290330535237 ..................
[CV]  c1=0.6649535763732968, c2=0.008566290330535237, score=0.783670 -   0.9s
[CV] c1=0.7436130129070168, c2=0.019154754734212173 ..................
[CV]  c1=0.7436130129070168, c2=0.019154754734212173, score=0.705597 -   1.5s
[CV] c1=0.3327902089440841, c2=0.004133594414056319 ..................
[CV]  c1=0.3327902089440841, c2=0.004133594414056319, score=0.710934 -   1.2s
[CV] c1=0.26625226660661055, c2=0.02746753019956373 ..................
[CV]  c1=0.26625226660661055, c2=0.02746753019956373, score=0.806766 -   1.7s
[CV] c1=0.04992806486260107, c2=0.04865258543370034 ..................
[CV]  c1=0.04992806486260107, c2=0.04865258543370034, score=0.791127 -   1.5s
[CV] c1=0.04078691285622204, c2=0.12000191621957024 ..................
[CV]  c1=0.04078691285622204, c2=0.12000191621957024, score=0.689882 -   1.2s
[CV] c1=0.10420151283463165, c2=0.08111518616909741 ..................
[CV]  c1=0.10420151283463165, c2=0.08111518616909741, score=0.784476 -   1.5s
[CV] c1=0.39639998264962156, c2=0.004290427429449114 .................
[CV]  c1=0.39639998264962156, c2=0.004290427429449114, score=0.839629 -   1.5s
[CV] c1=0.19655607673333345, c2=0.003647617363125726 .................
[CV]  c1=0.19655607673333345, c2=0.003647617363125726, score=0.851061 -   1.4s
[CV] c1=0.5615101263018096, c2=0.028351712257579237 ..................
[CV]  c1=0.5615101263018096, c2=0.028351712257579237, score=0.829585 -   1.5s
[CV] c1=0.13548015565528768, c2=0.06636719598323937 ..................
[CV]  c1=0.13548015565528768, c2=0.06636719598323937, score=0.774842 -   1.6s
[CV] c1=0.3555559947700272, c2=0.0022296727998478327 .................
[CV]  c1=0.3555559947700272, c2=0.0022296727998478327, score=0.892608 -   1.5s
[CV] c1=0.09932279440938452, c2=0.00868724458554053 ..................
[CV]  c1=0.09932279440938452, c2=0.00868724458554053, score=0.685061 -   1.2s
[CV] c1=0.0220088948866951, c2=0.07796062857856151 ...................
[CV]  c1=0.0220088948866951, c2=0.07796062857856151, score=0.829726 -   1.3s
Training done in: 21.290658s
     Saving training model...
        Saving training model done in: 0.018078s
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Prediction done in: 0.043257s