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

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Run15_v10.txt 71.1 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: Run15
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: TrueS4: True
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: 0.003810s
-------------------------------- 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   -2:lemma  culture
14  -2:postag      VBN
15   +2:lemma  minimal
16  +2:postag       JJ
17     -1:ner        _
18     +1:ner      MED
19     -2:ner        _
20     +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   -2:lemma     affyexp
14  -2:postag          JJ
15   +2:lemma     glucose
16  +2:postag          NN
17     -1:ner           _
18     +1:ner           _
19     -2:ner           _
20     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.3383024046500895, c2=0.0003534675505184426 .................
[CV]  c1=0.3383024046500895, c2=0.0003534675505184426, score=0.915009 -   1.4s
[CV] c1=1.399809768322859, c2=0.016509227839435578 ...................
[CV]  c1=1.399809768322859, c2=0.016509227839435578, score=0.589917 -   1.7s
[CV] c1=0.06881339851691709, c2=0.014586774247086412 .................
[CV]  c1=0.06881339851691709, c2=0.014586774247086412, score=0.880152 -   1.7s
[CV] c1=0.283002363988031, c2=0.051564542864592805 ...................
[CV]  c1=0.283002363988031, c2=0.051564542864592805, score=0.730083 -   1.5s
[CV] c1=0.22748236375769482, c2=0.02816836314202676 ..................
[CV]  c1=0.22748236375769482, c2=0.02816836314202676, score=0.731145 -   1.4s
[CV] c1=0.26683274860778244, c2=0.01579445397417717 ..................
[CV]  c1=0.26683274860778244, c2=0.01579445397417717, score=0.792691 -   2.0s
[CV] c1=0.07836738706773885, c2=0.13798614617417787 ..................
[CV]  c1=0.07836738706773885, c2=0.13798614617417787, score=0.789764 -   1.7s
[CV] c1=0.03788220558668229, c2=0.11069780327091983 ..................
[CV]  c1=0.03788220558668229, c2=0.11069780327091983, score=0.820007 -   1.8s
[CV] c1=1.39167039337033, c2=0.03260464233728402 .....................
[CV]  c1=1.39167039337033, c2=0.03260464233728402, score=0.767825 -   1.6s
[CV] c1=0.4435254812081989, c2=0.06620987198368401 ...................
[CV]  c1=0.4435254812081989, c2=0.06620987198368401, score=0.742057 -   2.0s
[CV] c1=0.26922246234283664, c2=0.05522974648017738 ..................
[CV]  c1=0.26922246234283664, c2=0.05522974648017738, score=0.743181 -   1.7s
[CV] c1=0.42993653631292755, c2=0.032052532109216124 .................
[CV]  c1=0.42993653631292755, c2=0.032052532109216124, score=0.734015 -   1.7s
[CV] c1=0.2545668581813172, c2=0.003645812248352836 ..................
[CV]  c1=0.2545668581813172, c2=0.003645812248352836, score=0.713280 -   1.4s
[CV] c1=0.6860057322161962, c2=0.05233197492167299 ...................
[CV]  c1=0.6860057322161962, c2=0.05233197492167299, score=0.817925 -   1.7s
[CV] c1=0.13612879705272415, c2=0.023644639356958604 .................
[CV]  c1=0.13612879705272415, c2=0.023644639356958604, score=0.802734 -   1.9s
[CV] c1=0.121922733882416, c2=0.010006070322911087 ...................
[CV]  c1=0.121922733882416, c2=0.010006070322911087, score=0.716611 -   1.3s
[CV] c1=0.10027381372868208, c2=0.025843796223627192 .................
[CV]  c1=0.10027381372868208, c2=0.025843796223627192, score=0.866839 -   1.7s
[CV] c1=0.354969468087072, c2=0.08988711163478096 ....................
[CV]  c1=0.354969468087072, c2=0.08988711163478096, score=0.864929 -   1.7s
[CV] c1=0.2656855290680333, c2=0.00291087058336738 ...................
[CV]  c1=0.2656855290680333, c2=0.00291087058336738, score=0.854546 -   1.6s
[CV] c1=0.07396747259471256, c2=0.01639537372088613 ..................
[CV]  c1=0.07396747259471256, c2=0.01639537372088613, score=0.820419 -   1.7s
[CV] c1=0.19278126588302807, c2=0.05604459720727455 ..................
[CV]  c1=0.19278126588302807, c2=0.05604459720727455, score=0.864206 -   1.7s
[CV] c1=0.23349370992979918, c2=0.034232593562376866 .................
[CV]  c1=0.23349370992979918, c2=0.034232593562376866, score=0.826145 -   1.7s
[CV] c1=0.0537235372480205, c2=0.006772684588234417 ..................
[CV]  c1=0.0537235372480205, c2=0.006772684588234417, score=0.783214 -   1.3s
[CV] c1=0.17681500511814044, c2=0.01961468932109517 ..................
[CV]  c1=0.17681500511814044, c2=0.01961468932109517, score=0.867011 -   1.6s
[CV] c1=0.9438574526134879, c2=0.04933756777991323 ...................
[CV]  c1=0.9438574526134879, c2=0.04933756777991323, score=0.704546 -   1.7s
[CV] c1=0.2889658995882343, c2=0.11129213680881998 ...................
[CV]  c1=0.2889658995882343, c2=0.11129213680881998, score=0.783483 -   1.7s
[CV] c1=0.13612879705272415, c2=0.023644639356958604 .................
[CV]  c1=0.13612879705272415, c2=0.023644639356958604, score=0.904099 -   1.7s
[CV] c1=0.32447946043747833, c2=0.07512485336117448 ..................
[CV]  c1=0.32447946043747833, c2=0.07512485336117448, score=0.715498 -   1.4s
[CV] c1=0.007269466909359532, c2=0.07983454557526679 .................
[CV]  c1=0.007269466909359532, c2=0.07983454557526679, score=0.854694 -   1.6s
[CV] c1=0.2759635479944556, c2=0.026353940335847665 ..................
[CV]  c1=0.2759635479944556, c2=0.026353940335847665, score=0.846730 -   1.8s
[CV] c1=0.2689815786720161, c2=0.04826856650263703 ...................
[CV]  c1=0.2689815786720161, c2=0.04826856650263703, score=0.789008 -   1.7s
[CV] c1=0.6738051254925908, c2=0.01084209453589081 ...................
[CV]  c1=0.6738051254925908, c2=0.01084209453589081, score=0.821605 -   1.7s
[CV] c1=0.7441069174066204, c2=0.09149739212880395 ...................
[CV]  c1=0.7441069174066204, c2=0.09149739212880395, score=0.795633 -   1.8s
[CV] c1=0.2752571001876341, c2=0.0002921841929626291 .................
[CV]  c1=0.2752571001876341, c2=0.0002921841929626291, score=0.911556 -   1.6s
[CV] c1=0.2629342383996823, c2=0.043418842555850636 ..................
[CV]  c1=0.2629342383996823, c2=0.043418842555850636, score=0.725907 -   1.6s
[CV] c1=0.42993653631292755, c2=0.032052532109216124 .................
[CV]  c1=0.42993653631292755, c2=0.032052532109216124, score=0.859635 -   1.7s
[CV] c1=1.213298300528486, c2=0.015054130435847291 ...................
[CV]  c1=1.213298300528486, c2=0.015054130435847291, score=0.861557 -   1.7s
[CV] c1=2.3985864302839195, c2=0.0020791701833517817 .................
[CV]  c1=2.3985864302839195, c2=0.0020791701833517817, score=0.768974 -   1.6s
[CV] c1=1.119700252482296, c2=0.038024054596143504 ...................
[CV]  c1=1.119700252482296, c2=0.038024054596143504, score=0.861066 -   1.7s
[CV] c1=1.1699021421184708, c2=0.15938271287021513 ...................
[CV]  c1=1.1699021421184708, c2=0.15938271287021513, score=0.644394 -   1.6s
[CV] c1=0.9135860394887109, c2=0.014909961637782588 ..................
[CV]  c1=0.9135860394887109, c2=0.014909961637782588, score=0.705367 -   1.7s
[CV] c1=0.9440341145898674, c2=0.0024048770523303416 .................
[CV]  c1=0.9440341145898674, c2=0.0024048770523303416, score=0.660453 -   1.7s
[CV] c1=0.63441555355732, c2=0.02249850492496925 .....................
[CV]  c1=0.63441555355732, c2=0.02249850492496925, score=0.700251 -   1.4s
[CV] c1=0.07396747259471256, c2=0.01639537372088613 ..................
[CV]  c1=0.07396747259471256, c2=0.01639537372088613, score=0.858778 -   1.7s
[CV] c1=0.19278126588302807, c2=0.05604459720727455 ..................
[CV]  c1=0.19278126588302807, c2=0.05604459720727455, score=0.875794 -   1.6s
[CV] c1=0.23349370992979918, c2=0.034232593562376866 .................
[CV]  c1=0.23349370992979918, c2=0.034232593562376866, score=0.893660 -   1.7s
[CV] c1=1.7464413560398806, c2=0.018000291346809524 ..................
[CV]  c1=1.7464413560398806, c2=0.018000291346809524, score=0.624197 -   1.8s
[CV] c1=1.9104489274623706, c2=0.03578265192415962 ...................
[CV]  c1=1.9104489274623706, c2=0.03578265192415962, score=0.567498 -   1.4s
[CV] c1=1.213298300528486, c2=0.015054130435847291 ...................
[CV]  c1=1.213298300528486, c2=0.015054130435847291, score=0.636557 -   1.6s
[CV] c1=2.3985864302839195, c2=0.0020791701833517817 .................
[CV]  c1=2.3985864302839195, c2=0.0020791701833517817, score=0.711243 -   1.5s
[CV] c1=0.13612879705272415, c2=0.023644639356958604 .................
[CV]  c1=0.13612879705272415, c2=0.023644639356958604, score=0.863073 -   1.7s
[CV] c1=0.32447946043747833, c2=0.07512485336117448 ..................
[CV]  c1=0.32447946043747833, c2=0.07512485336117448, score=0.805908 -   1.7s
[CV] c1=0.9135860394887109, c2=0.014909961637782588 ..................
[CV]  c1=0.9135860394887109, c2=0.014909961637782588, score=0.863471 -   1.7s
[CV] c1=0.9440341145898674, c2=0.0024048770523303416 .................
[CV]  c1=0.9440341145898674, c2=0.0024048770523303416, score=0.721830 -   1.7s
[CV] c1=1.057926735082023, c2=0.049779991406913526 ...................
[CV]  c1=1.057926735082023, c2=0.049779991406913526, score=0.787534 -   1.7s
[CV] c1=0.5344813907351637, c2=0.012231161841096126 ..................
[CV]  c1=0.5344813907351637, c2=0.012231161841096126, score=0.832142 -   1.6s
[CV] c1=0.19278126588302807, c2=0.05604459720727455 ..................
[CV]  c1=0.19278126588302807, c2=0.05604459720727455, score=0.712196 -   1.3s
[CV] c1=0.08647325204597384, c2=0.026913321381371542 .................
[CV]  c1=0.08647325204597384, c2=0.026913321381371542, score=0.801362 -   1.7s
[CV] c1=0.26922246234283664, c2=0.05522974648017738 ..................
[CV]  c1=0.26922246234283664, c2=0.05522974648017738, score=0.789008 -   1.8s
[CV] c1=0.17681500511814044, c2=0.01961468932109517 ..................
[CV]  c1=0.17681500511814044, c2=0.01961468932109517, score=0.816835 -   1.7s
[CV] c1=0.22065988934084935, c2=0.046573972885594936 .................
[CV]  c1=0.22065988934084935, c2=0.046573972885594936, score=0.855079 -   1.7s
[CV] c1=0.6860057322161962, c2=0.05233197492167299 ...................
[CV]  c1=0.6860057322161962, c2=0.05233197492167299, score=0.711744 -   1.8s
[CV] c1=1.119700252482296, c2=0.038024054596143504 ...................
[CV]  c1=1.119700252482296, c2=0.038024054596143504, score=0.653060 -   1.7s
[CV] c1=1.1699021421184708, c2=0.15938271287021513 ...................
[CV]  c1=1.1699021421184708, c2=0.15938271287021513, score=0.776777 -   1.7s
[CV] c1=0.9135860394887109, c2=0.014909961637782588 ..................
[CV]  c1=0.9135860394887109, c2=0.014909961637782588, score=0.801792 -   1.7s
[CV] c1=0.9440341145898674, c2=0.0024048770523303416 .................
[CV]  c1=0.9440341145898674, c2=0.0024048770523303416, score=0.787618 -   1.6s
[CV] c1=1.057926735082023, c2=0.049779991406913526 ...................
[CV]  c1=1.057926735082023, c2=0.049779991406913526, score=0.618031 -   1.7s
[CV] c1=0.5344813907351637, c2=0.012231161841096126 ..................
[CV]  c1=0.5344813907351637, c2=0.012231161841096126, score=0.745023 -   1.7s
[CV] c1=0.19278126588302807, c2=0.05604459720727455 ..................
[CV]  c1=0.19278126588302807, c2=0.05604459720727455, score=0.838837 -   1.7s
[CV] c1=1.0830756259646128, c2=0.11196077185630529 ...................
[CV]  c1=1.0830756259646128, c2=0.11196077185630529, score=0.644672 -   1.3s
[CV] c1=0.2629342383996823, c2=0.043418842555850636 ..................
[CV]  c1=0.2629342383996823, c2=0.043418842555850636, score=0.871305 -   1.7s
[CV] c1=1.4345347974113392, c2=0.023629288992304064 ..................
[CV]  c1=1.4345347974113392, c2=0.023629288992304064, score=0.861557 -   1.7s
[CV] c1=0.8323772134158005, c2=0.11354053467388388 ...................
[CV]  c1=0.8323772134158005, c2=0.11354053467388388, score=0.865543 -   1.7s
[CV] c1=0.6860057322161962, c2=0.05233197492167299 ...................
[CV]  c1=0.6860057322161962, c2=0.05233197492167299, score=0.798546 -   1.8s
[CV] c1=1.119700252482296, c2=0.038024054596143504 ...................
[CV]  c1=1.119700252482296, c2=0.038024054596143504, score=0.657585 -   1.7s
[CV] c1=0.121922733882416, c2=0.010006070322911087 ...................
[CV]  c1=0.121922733882416, c2=0.010006070322911087, score=0.902448 -   1.7s
[CV] c1=0.21988616980844147, c2=0.04266248657833232 ..................
[CV]  c1=0.21988616980844147, c2=0.04266248657833232, score=0.785161 -   1.7s
[CV] c1=0.031183218438062626, c2=0.14701569986932647 .................
[CV]  c1=0.031183218438062626, c2=0.14701569986932647, score=0.857790 -   1.6s
[CV] c1=0.63441555355732, c2=0.02249850492496925 .....................
[CV]  c1=0.63441555355732, c2=0.02249850492496925, score=0.818186 -   1.6s
[CV] c1=1.1071898663046398, c2=0.08584796979399784 ...................
[CV]  c1=1.1071898663046398, c2=0.08584796979399784, score=0.617698 -   1.3s
[CV] c1=0.7645765633730559, c2=0.020786203764327597 ..................
[CV]  c1=0.7645765633730559, c2=0.020786203764327597, score=0.712201 -   1.7s
[CV] c1=0.2752571001876341, c2=0.0002921841929626291 .................
[CV]  c1=0.2752571001876341, c2=0.0002921841929626291, score=0.800837 -   1.7s
[CV] c1=0.2629342383996823, c2=0.043418842555850636 ..................
[CV]  c1=0.2629342383996823, c2=0.043418842555850636, score=0.846730 -   1.6s
[CV] c1=0.17681500511814044, c2=0.01961468932109517 ..................
[CV]  c1=0.17681500511814044, c2=0.01961468932109517, score=0.802641 -   1.7s
[CV] c1=1.6921763196606217, c2=2.422364669477049e-05 .................
[CV]  c1=1.6921763196606217, c2=2.422364669477049e-05, score=0.568118 -   1.4s
[CV] c1=1.4824376508839594, c2=0.06305248218931143 ...................
[CV]  c1=1.4824376508839594, c2=0.06305248218931143, score=0.638136 -   1.7s
[CV] c1=0.22419399494249548, c2=0.02600910984349681 ..................
[CV]  c1=0.22419399494249548, c2=0.02600910984349681, score=0.849909 -   1.7s
[CV] c1=0.2274694300691082, c2=0.0018969924017619112 .................
[CV]  c1=0.2274694300691082, c2=0.0018969924017619112, score=0.718278 -   1.3s
[CV] c1=0.9135860394887109, c2=0.014909961637782588 ..................
[CV]  c1=0.9135860394887109, c2=0.014909961637782588, score=0.696457 -   1.7s
[CV] c1=0.031183218438062626, c2=0.14701569986932647 .................
[CV]  c1=0.031183218438062626, c2=0.14701569986932647, score=0.818893 -   1.7s
[CV] c1=0.63441555355732, c2=0.02249850492496925 .....................
[CV]  c1=0.63441555355732, c2=0.02249850492496925, score=0.815183 -   1.7s
[CV] c1=1.1071898663046398, c2=0.08584796979399784 ...................
[CV]  c1=1.1071898663046398, c2=0.08584796979399784, score=0.624948 -   1.8s
[CV] c1=0.35086839328743696, c2=0.07475172104896907 ..................
[CV]  c1=0.35086839328743696, c2=0.07475172104896907, score=0.894129 -   1.7s
[CV] c1=1.0863386583090267, c2=0.007588190896289883 ..................
[CV]  c1=1.0863386583090267, c2=0.007588190896289883, score=0.786536 -   1.6s
[CV] c1=0.7716185030739643, c2=0.18207769689339415 ...................
[CV]  c1=0.7716185030739643, c2=0.18207769689339415, score=0.638639 -   1.4s
[CV] c1=1.4345347974113392, c2=0.023629288992304064 ..................
[CV]  c1=1.4345347974113392, c2=0.023629288992304064, score=0.761763 -   1.6s
[CV] c1=1.6921763196606217, c2=2.422364669477049e-05 .................
[CV]  c1=1.6921763196606217, c2=2.422364669477049e-05, score=0.566890 -   1.8s
[CV] c1=0.11178546517494199, c2=0.03717545498500123 ..................
[CV]  c1=0.11178546517494199, c2=0.03717545498500123, score=0.749783 -   1.3s
[CV] c1=0.22419399494249548, c2=0.02600910984349681 ..................
[CV]  c1=0.22419399494249548, c2=0.02600910984349681, score=0.865850 -   1.7s
[CV] c1=0.2274694300691082, c2=0.0018969924017619112 .................
[CV]  c1=0.2274694300691082, c2=0.0018969924017619112, score=0.897838 -   1.7s
[CV] c1=0.26683274860778244, c2=0.01579445397417717 ..................
[CV]  c1=0.26683274860778244, c2=0.01579445397417717, score=0.893996 -   1.6s
[CV] c1=0.24706463517641974, c2=0.008468234384304578 .................
[CV]  c1=0.24706463517641974, c2=0.008468234384304578, score=0.902448 -   1.7s
[CV] c1=0.01619553927565075, c2=0.1519225464356474 ...................
[CV]  c1=0.01619553927565075, c2=0.1519225464356474, score=0.882653 -   1.7s
[CV] c1=0.677707646686801, c2=0.05807379724836054 ....................
[CV]  c1=0.677707646686801, c2=0.05807379724836054, score=0.870360 -   1.8s
[CV] c1=0.35086839328743696, c2=0.07475172104896907 ..................
[CV]  c1=0.35086839328743696, c2=0.07475172104896907, score=0.868501 -   1.6s
[CV] c1=1.0863386583090267, c2=0.007588190896289883 ..................
[CV]  c1=1.0863386583090267, c2=0.007588190896289883, score=0.656071 -   1.9s
[CV] c1=0.07163725700163182, c2=0.06737927016390562 ..................
[CV]  c1=0.07163725700163182, c2=0.06737927016390562, score=0.736063 -   1.3s
[CV] c1=0.1457222959616001, c2=0.17673432825833416 ...................
[CV]  c1=0.1457222959616001, c2=0.17673432825833416, score=0.716437 -   1.3s
[CV] c1=0.14990625764809212, c2=0.0027377372990656378 ................
[CV]  c1=0.14990625764809212, c2=0.0027377372990656378, score=0.740470 -   1.3s
[CV] c1=1.399809768322859, c2=0.016509227839435578 ...................
[CV]  c1=1.399809768322859, c2=0.016509227839435578, score=0.636962 -   1.8s
[CV] c1=0.11178546517494199, c2=0.03717545498500123 ..................
[CV]  c1=0.11178546517494199, c2=0.03717545498500123, score=0.838386 -   1.7s
[CV] c1=0.283002363988031, c2=0.051564542864592805 ...................
[CV]  c1=0.283002363988031, c2=0.051564542864592805, score=0.909197 -   1.8s
[CV] c1=0.9153310069466278, c2=0.01943976817588536 ...................
[CV]  c1=0.9153310069466278, c2=0.01943976817588536, score=0.664796 -   1.5s
[CV] c1=0.1036183700487528, c2=0.04662847211111415 ...................
[CV]  c1=0.1036183700487528, c2=0.04662847211111415, score=0.730187 -   1.3s
[CV] c1=0.24706463517641974, c2=0.008468234384304578 .................
[CV]  c1=0.24706463517641974, c2=0.008468234384304578, score=0.706050 -   1.4s
[CV] c1=1.057926735082023, c2=0.049779991406913526 ...................
[CV]  c1=1.057926735082023, c2=0.049779991406913526, score=0.600715 -   1.8s
[CV] c1=1.1071898663046398, c2=0.08584796979399784 ...................
[CV]  c1=1.1071898663046398, c2=0.08584796979399784, score=0.769774 -   1.8s
[CV] c1=0.7342896986274028, c2=0.0032285114248774022 .................
[CV]  c1=0.7342896986274028, c2=0.0032285114248774022, score=0.796185 -   1.7s
[CV] c1=1.0830756259646128, c2=0.11196077185630529 ...................
[CV]  c1=1.0830756259646128, c2=0.11196077185630529, score=0.784690 -   1.6s
[CV] c1=0.0537235372480205, c2=0.006772684588234417 ..................
[CV]  c1=0.0537235372480205, c2=0.006772684588234417, score=0.866601 -   1.7s
[CV] c1=1.9104489274623706, c2=0.03578265192415962 ...................
[CV]  c1=1.9104489274623706, c2=0.03578265192415962, score=0.737298 -   1.5s
[CV] c1=1.6921763196606217, c2=2.422364669477049e-05 .................
[CV]  c1=1.6921763196606217, c2=2.422364669477049e-05, score=0.844592 -   1.6s
[CV] c1=1.4824376508839594, c2=0.06305248218931143 ...................
[CV]  c1=1.4824376508839594, c2=0.06305248218931143, score=0.566890 -   1.6s
[CV] c1=0.22419399494249548, c2=0.02600910984349681 ..................
[CV]  c1=0.22419399494249548, c2=0.02600910984349681, score=0.791397 -   1.7s
[CV] c1=0.121922733882416, c2=0.010006070322911087 ...................
[CV]  c1=0.121922733882416, c2=0.010006070322911087, score=0.861556 -   1.6s
[CV] c1=0.21988616980844147, c2=0.04266248657833232 ..................
[CV]  c1=0.21988616980844147, c2=0.04266248657833232, score=0.863073 -   1.7s
[CV] c1=0.031183218438062626, c2=0.14701569986932647 .................
[CV]  c1=0.031183218438062626, c2=0.14701569986932647, score=0.820007 -   1.7s
[CV] c1=0.01619553927565075, c2=0.1519225464356474 ...................
[CV]  c1=0.01619553927565075, c2=0.1519225464356474, score=0.756228 -   1.3s
[CV] c1=0.5344813907351637, c2=0.012231161841096126 ..................
[CV]  c1=0.5344813907351637, c2=0.012231161841096126, score=0.899649 -   1.7s
[CV] c1=0.19278126588302807, c2=0.05604459720727455 ..................
[CV]  c1=0.19278126588302807, c2=0.05604459720727455, score=0.791397 -   1.7s
[CV] c1=0.23349370992979918, c2=0.034232593562376866 .................
[CV]  c1=0.23349370992979918, c2=0.034232593562376866, score=0.867011 -   1.6s
[CV] c1=1.7464413560398806, c2=0.018000291346809524 ..................
[CV]  c1=1.7464413560398806, c2=0.018000291346809524, score=0.739702 -   1.7s
[CV] c1=1.9104489274623706, c2=0.03578265192415962 ...................
[CV]  c1=1.9104489274623706, c2=0.03578265192415962, score=0.792230 -   1.6s
[CV] c1=0.3383024046500895, c2=0.0003534675505184426 .................
[CV]  c1=0.3383024046500895, c2=0.0003534675505184426, score=0.834244 -   1.6s
[CV] c1=1.5151101468325439, c2=0.019594191061742865 ..................
[CV]  c1=1.5151101468325439, c2=0.019594191061742865, score=0.723578 -   1.9s
[CV] c1=0.5911266719616585, c2=0.033181174485832875 ..................
[CV]  c1=0.5911266719616585, c2=0.033181174485832875, score=0.816274 -   1.7s
[CV] c1=0.061647237734679235, c2=0.009776314978400608 ................
[CV]  c1=0.061647237734679235, c2=0.009776314978400608, score=0.877750 -   1.7s
[CV] c1=1.0901437936246998, c2=0.058611418842310616 ..................
[CV]  c1=1.0901437936246998, c2=0.058611418842310616, score=0.650410 -   1.8s
[CV] c1=0.354969468087072, c2=0.08988711163478096 ....................
[CV]  c1=0.354969468087072, c2=0.08988711163478096, score=0.700234 -   1.5s
[CV] c1=0.2689815786720161, c2=0.04826856650263703 ...................
[CV]  c1=0.2689815786720161, c2=0.04826856650263703, score=0.868501 -   1.7s
[CV] c1=0.6738051254925908, c2=0.01084209453589081 ...................
[CV]  c1=0.6738051254925908, c2=0.01084209453589081, score=0.801396 -   1.8s
[CV] c1=0.7645765633730559, c2=0.020786203764327597 ..................
[CV]  c1=0.7645765633730559, c2=0.020786203764327597, score=0.801396 -   1.8s
[CV] c1=0.23349370992979918, c2=0.034232593562376866 .................
[CV]  c1=0.23349370992979918, c2=0.034232593562376866, score=0.790857 -   1.7s
[CV] c1=0.0537235372480205, c2=0.006772684588234417 ..................
[CV]  c1=0.0537235372480205, c2=0.006772684588234417, score=0.882954 -   1.6s
[CV] c1=1.4345347974113392, c2=0.023629288992304064 ..................
[CV]  c1=1.4345347974113392, c2=0.023629288992304064, score=0.579498 -   1.7s
[CV] c1=0.2545668581813172, c2=0.003645812248352836 ..................
[CV]  c1=0.2545668581813172, c2=0.003645812248352836, score=0.898263 -   1.6s
[CV] c1=1.4824376508839594, c2=0.06305248218931143 ...................
[CV]  c1=1.4824376508839594, c2=0.06305248218931143, score=0.571026 -   1.5s
[CV] c1=1.119700252482296, c2=0.038024054596143504 ...................
[CV]  c1=1.119700252482296, c2=0.038024054596143504, score=0.633852 -   1.3s
[CV] c1=0.061647237734679235, c2=0.009776314978400608 ................
[CV]  c1=0.061647237734679235, c2=0.009776314978400608, score=0.751879 -   1.3s
[CV] c1=0.9153310069466278, c2=0.01943976817588536 ...................
[CV]  c1=0.9153310069466278, c2=0.01943976817588536, score=0.738662 -   1.8s
[CV] c1=0.2759635479944556, c2=0.026353940335847665 ..................
[CV]  c1=0.2759635479944556, c2=0.026353940335847665, score=0.722117 -   1.4s
[CV] c1=1.0149606005391238, c2=0.008123223706514178 ..................
[CV]  c1=1.0149606005391238, c2=0.008123223706514178, score=0.644644 -   1.4s
[CV] c1=0.01619553927565075, c2=0.1519225464356474 ...................
[CV]  c1=0.01619553927565075, c2=0.1519225464356474, score=0.820007 -   1.7s
[CV] c1=0.5449673663593712, c2=0.04275810308970008 ...................
[CV]  c1=0.5449673663593712, c2=0.04275810308970008, score=0.743094 -   1.8s
[CV] c1=0.07397859731609842, c2=0.029260890288920205 .................
[CV]  c1=0.07397859731609842, c2=0.029260890288920205, score=0.864061 -   1.6s
[CV] c1=0.4747417455137994, c2=0.004118373723763304 ..................
[CV]  c1=0.4747417455137994, c2=0.004118373723763304, score=0.854789 -   1.6s
[CV] c1=0.07163725700163182, c2=0.06737927016390562 ..................
[CV]  c1=0.07163725700163182, c2=0.06737927016390562, score=0.792113 -   1.7s
[CV] c1=0.32114847574325966, c2=0.026135847181237012 .................
[CV]  c1=0.32114847574325966, c2=0.026135847181237012, score=0.740949 -   1.2s
[CV] c1=0.22065988934084935, c2=0.046573972885594936 .................
[CV]  c1=0.22065988934084935, c2=0.046573972885594936, score=0.722133 -   1.3s
[CV] c1=1.5151101468325439, c2=0.019594191061742865 ..................
[CV]  c1=1.5151101468325439, c2=0.019594191061742865, score=0.629332 -   1.9s
[CV] c1=0.06881339851691709, c2=0.014586774247086412 .................
[CV]  c1=0.06881339851691709, c2=0.014586774247086412, score=0.878599 -   1.8s
[CV] c1=0.25756093254868656, c2=0.023310406104783247 .................
[CV]  c1=0.25756093254868656, c2=0.023310406104783247, score=0.791397 -   1.8s
[CV] c1=1.0901437936246998, c2=0.058611418842310616 ..................
[CV]  c1=1.0901437936246998, c2=0.058611418842310616, score=0.870436 -   1.9s
[CV] c1=0.354969468087072, c2=0.08988711163478096 ....................
[CV]  c1=0.354969468087072, c2=0.08988711163478096, score=0.764604 -   1.8s
[CV] c1=1.057926735082023, c2=0.049779991406913526 ...................
[CV]  c1=1.057926735082023, c2=0.049779991406913526, score=0.658413 -   1.7s
[CV] c1=1.1071898663046398, c2=0.08584796979399784 ...................
[CV]  c1=1.1071898663046398, c2=0.08584796979399784, score=0.870436 -   1.9s
[CV] c1=0.7342896986274028, c2=0.0032285114248774022 .................
[CV]  c1=0.7342896986274028, c2=0.0032285114248774022, score=0.825484 -   1.8s
[CV] c1=1.0863386583090267, c2=0.007588190896289883 ..................
[CV]  c1=1.0863386583090267, c2=0.007588190896289883, score=0.650966 -   1.3s
[CV] c1=1.7464413560398806, c2=0.018000291346809524 ..................
[CV]  c1=1.7464413560398806, c2=0.018000291346809524, score=0.562292 -   1.8s
[CV] c1=1.9104489274623706, c2=0.03578265192415962 ...................
[CV]  c1=1.9104489274623706, c2=0.03578265192415962, score=0.625314 -   1.6s
[CV] c1=0.2545668581813172, c2=0.003645812248352836 ..................
[CV]  c1=0.2545668581813172, c2=0.003645812248352836, score=0.817301 -   1.8s
[CV] c1=0.38683996486106387, c2=0.044234292550653 ....................
[CV]  c1=0.38683996486106387, c2=0.044234292550653, score=0.781179 -   1.7s
[CV] c1=1.7153457140751087, c2=0.0007295704292215504 .................
[CV]  c1=1.7153457140751087, c2=0.0007295704292215504, score=0.564822 -   2.0s
[CV] c1=0.9153310069466278, c2=0.01943976817588536 ...................
[CV]  c1=0.9153310069466278, c2=0.01943976817588536, score=0.870536 -   1.7s
[CV] c1=0.1036183700487528, c2=0.04662847211111415 ...................
[CV]  c1=0.1036183700487528, c2=0.04662847211111415, score=0.819066 -   1.6s
[CV] c1=1.0149606005391238, c2=0.008123223706514178 ..................
[CV]  c1=1.0149606005391238, c2=0.008123223706514178, score=0.863471 -   1.7s
[CV] c1=0.21540739380669988, c2=0.10583431797761163 ..................
[CV]  c1=0.21540739380669988, c2=0.10583431797761163, score=0.785161 -   1.7s
[CV] c1=1.39167039337033, c2=0.03260464233728402 .....................
[CV]  c1=1.39167039337033, c2=0.03260464233728402, score=0.577605 -   1.7s
[CV] c1=1.303070371157959, c2=0.01287113607008341 ....................
[CV]  c1=1.303070371157959, c2=0.01287113607008341, score=0.609646 -   1.5s
[CV] c1=0.4073869287111141, c2=0.043614941970917566 ..................
[CV]  c1=0.4073869287111141, c2=0.043614941970917566, score=0.895039 -   1.7s
[CV] c1=0.8257522204550956, c2=0.09190224703607028 ...................
[CV]  c1=0.8257522204550956, c2=0.09190224703607028, score=0.648970 -   1.3s
[CV] c1=0.1457222959616001, c2=0.17673432825833416 ...................
[CV]  c1=0.1457222959616001, c2=0.17673432825833416, score=0.858778 -   1.5s
[CV] c1=0.2545668581813172, c2=0.003645812248352836 ..................
[CV]  c1=0.2545668581813172, c2=0.003645812248352836, score=0.794774 -   1.7s
[CV] c1=0.38683996486106387, c2=0.044234292550653 ....................
[CV]  c1=0.38683996486106387, c2=0.044234292550653, score=0.895039 -   1.7s
[CV] c1=1.7153457140751087, c2=0.0007295704292215504 .................
[CV]  c1=1.7153457140751087, c2=0.0007295704292215504, score=0.570024 -   1.4s
[CV] c1=1.1699021421184708, c2=0.15938271287021513 ...................
[CV]  c1=1.1699021421184708, c2=0.15938271287021513, score=0.588976 -   1.7s
[CV] c1=0.21988616980844147, c2=0.04266248657833232 ..................
[CV]  c1=0.21988616980844147, c2=0.04266248657833232, score=0.736349 -   1.4s
[CV] c1=0.354969468087072, c2=0.08988711163478096 ....................
[CV]  c1=0.354969468087072, c2=0.08988711163478096, score=0.823317 -   1.9s
[CV] c1=0.63441555355732, c2=0.02249850492496925 .....................
[CV]  c1=0.63441555355732, c2=0.02249850492496925, score=0.731996 -   1.8s
[CV] c1=0.677707646686801, c2=0.05807379724836054 ....................
[CV]  c1=0.677707646686801, c2=0.05807379724836054, score=0.677438 -   1.3s
[CV] c1=0.7342896986274028, c2=0.0032285114248774022 .................
[CV]  c1=0.7342896986274028, c2=0.0032285114248774022, score=0.883673 -   1.7s
[CV] c1=1.0830756259646128, c2=0.11196077185630529 ...................
[CV]  c1=1.0830756259646128, c2=0.11196077185630529, score=0.648457 -   1.7s
[CV] c1=0.0537235372480205, c2=0.006772684588234417 ..................
[CV]  c1=0.0537235372480205, c2=0.006772684588234417, score=0.822560 -   1.7s
[CV] c1=0.1457222959616001, c2=0.17673432825833416 ...................
[CV]  c1=0.1457222959616001, c2=0.17673432825833416, score=0.883709 -   1.6s
[CV] c1=1.6921763196606217, c2=2.422364669477049e-05 .................
[CV]  c1=1.6921763196606217, c2=2.422364669477049e-05, score=0.630543 -   1.8s
[CV] c1=0.38683996486106387, c2=0.044234292550653 ....................
[CV]  c1=0.38683996486106387, c2=0.044234292550653, score=0.814662 -   1.8s
[CV] c1=0.23368355620553308, c2=0.09674630510132419 ..................
[CV]  c1=0.23368355620553308, c2=0.09674630510132419, score=0.863073 -   1.6s
[CV] c1=0.22748236375769482, c2=0.02816836314202676 ..................
[CV]  c1=0.22748236375769482, c2=0.02816836314202676, score=0.897838 -   1.8s
[CV] c1=0.1036183700487528, c2=0.04662847211111415 ...................
[CV]  c1=0.1036183700487528, c2=0.04662847211111415, score=0.878942 -   1.7s
[CV] c1=0.24706463517641974, c2=0.008468234384304578 .................
[CV]  c1=0.24706463517641974, c2=0.008468234384304578, score=0.813717 -   1.7s
[CV] c1=0.03788220558668229, c2=0.11069780327091983 ..................
[CV]  c1=0.03788220558668229, c2=0.11069780327091983, score=0.890318 -   1.7s
[CV] c1=0.5449673663593712, c2=0.04275810308970008 ...................
[CV]  c1=0.5449673663593712, c2=0.04275810308970008, score=0.731312 -   1.4s
[CV] c1=0.35086839328743696, c2=0.07475172104896907 ..................
[CV]  c1=0.35086839328743696, c2=0.07475172104896907, score=0.695122 -   1.4s
[CV] c1=1.0830756259646128, c2=0.11196077185630529 ...................
[CV]  c1=1.0830756259646128, c2=0.11196077185630529, score=0.870436 -   1.7s
[CV] c1=0.0537235372480205, c2=0.006772684588234417 ..................
[CV]  c1=0.0537235372480205, c2=0.006772684588234417, score=0.795925 -   1.7s
[CV] c1=1.9104489274623706, c2=0.03578265192415962 ...................
[CV]  c1=1.9104489274623706, c2=0.03578265192415962, score=0.558569 -   1.7s
[CV] c1=0.9438574526134879, c2=0.04933756777991323 ...................
[CV]  c1=0.9438574526134879, c2=0.04933756777991323, score=0.659590 -   1.5s
[CV] c1=0.5181557050826823, c2=0.022658408792526525 ..................
[CV]  c1=0.5181557050826823, c2=0.022658408792526525, score=0.897484 -   1.7s
[CV] c1=0.5911266719616585, c2=0.033181174485832875 ..................
[CV]  c1=0.5911266719616585, c2=0.033181174485832875, score=0.743094 -   1.8s
[CV] c1=0.061647237734679235, c2=0.009776314978400608 ................
[CV]  c1=0.061647237734679235, c2=0.009776314978400608, score=0.803196 -   1.8s
[CV] c1=0.10027381372868208, c2=0.025843796223627192 .................
[CV]  c1=0.10027381372868208, c2=0.025843796223627192, score=0.876692 -   1.7s
[CV] c1=0.354969468087072, c2=0.08988711163478096 ....................
[CV]  c1=0.354969468087072, c2=0.08988711163478096, score=0.889894 -   1.7s
[CV] c1=0.2656855290680333, c2=0.00291087058336738 ...................
[CV]  c1=0.2656855290680333, c2=0.00291087058336738, score=0.795080 -   1.7s
[CV] c1=0.07396747259471256, c2=0.01639537372088613 ..................
[CV]  c1=0.07396747259471256, c2=0.01639537372088613, score=0.795080 -   1.7s
[CV] c1=0.7645765633730559, c2=0.020786203764327597 ..................
[CV]  c1=0.7645765633730559, c2=0.020786203764327597, score=0.816153 -   1.7s
[CV] c1=0.2752571001876341, c2=0.0002921841929626291 .................
[CV]  c1=0.2752571001876341, c2=0.0002921841929626291, score=0.853389 -   1.7s
[CV] c1=1.7464413560398806, c2=0.018000291346809524 ..................
[CV]  c1=1.7464413560398806, c2=0.018000291346809524, score=0.840592 -   1.8s
[CV] c1=1.4345347974113392, c2=0.023629288992304064 ..................
[CV]  c1=1.4345347974113392, c2=0.023629288992304064, score=0.636962 -   1.7s
[CV] c1=0.9438574526134879, c2=0.04933756777991323 ...................
[CV]  c1=0.9438574526134879, c2=0.04933756777991323, score=0.661259 -   1.1s
[CV] c1=1.399809768322859, c2=0.016509227839435578 ...................
[CV]  c1=1.399809768322859, c2=0.016509227839435578, score=0.777267 -   1.7s
[CV] c1=0.11178546517494199, c2=0.03717545498500123 ..................
[CV]  c1=0.11178546517494199, c2=0.03717545498500123, score=0.863073 -   1.6s
[CV] c1=0.23368355620553308, c2=0.09674630510132419 ..................
[CV]  c1=0.23368355620553308, c2=0.09674630510132419, score=0.803185 -   1.8s
[CV] c1=0.22748236375769482, c2=0.02816836314202676 ..................
[CV]  c1=0.22748236375769482, c2=0.02816836314202676, score=0.854628 -   1.8s
[CV] c1=0.14769395093917706, c2=0.02910891786757075 ..................
[CV]  c1=0.14769395093917706, c2=0.02910891786757075, score=0.798771 -   1.8s
[CV] c1=0.5162605363323295, c2=0.1521258308231137 ....................
[CV]  c1=0.5162605363323295, c2=0.1521258308231137, score=0.867141 -   1.8s
[CV] c1=0.6738051254925908, c2=0.01084209453589081 ...................
[CV]  c1=0.6738051254925908, c2=0.01084209453589081, score=0.879680 -   1.7s
[CV] c1=0.7441069174066204, c2=0.09149739212880395 ...................
[CV]  c1=0.7441069174066204, c2=0.09149739212880395, score=0.870360 -   1.8s
[CV] c1=0.08647325204597384, c2=0.026913321381371542 .................
[CV]  c1=0.08647325204597384, c2=0.026913321381371542, score=0.853487 -   1.7s
[CV] c1=0.2629342383996823, c2=0.043418842555850636 ..................
[CV]  c1=0.2629342383996823, c2=0.043418842555850636, score=0.915919 -   1.7s
[CV] c1=0.17681500511814044, c2=0.01961468932109517 ..................
[CV]  c1=0.17681500511814044, c2=0.01961468932109517, score=0.894251 -   2.0s
[CV] c1=0.14990625764809212, c2=0.0027377372990656378 ................
[CV]  c1=0.14990625764809212, c2=0.0027377372990656378, score=0.808039 -   1.7s
[CV] c1=0.2889658995882343, c2=0.11129213680881998 ...................
[CV]  c1=0.2889658995882343, c2=0.11129213680881998, score=0.697025 -   1.3s
[CV] c1=0.06881339851691709, c2=0.014586774247086412 .................
[CV]  c1=0.06881339851691709, c2=0.014586774247086412, score=0.859492 -   1.6s
[CV] c1=0.283002363988031, c2=0.051564542864592805 ...................
[CV]  c1=0.283002363988031, c2=0.051564542864592805, score=0.868501 -   1.7s
[CV] c1=0.9153310069466278, c2=0.01943976817588536 ...................
[CV]  c1=0.9153310069466278, c2=0.01943976817588536, score=0.782978 -   1.7s
[CV] c1=0.14769395093917706, c2=0.02910891786757075 ..................
[CV]  c1=0.14769395093917706, c2=0.02910891786757075, score=0.739863 -   1.5s
[CV] c1=0.07836738706773885, c2=0.13798614617417787 ..................
[CV]  c1=0.07836738706773885, c2=0.13798614617417787, score=0.742850 -   1.5s
[CV] c1=0.01619553927565075, c2=0.1519225464356474 ...................
[CV]  c1=0.01619553927565075, c2=0.1519225464356474, score=0.853639 -   1.7s
[CV] c1=0.677707646686801, c2=0.05807379724836054 ....................
[CV]  c1=0.677707646686801, c2=0.05807379724836054, score=0.801396 -   1.8s
[CV] c1=0.07397859731609842, c2=0.029260890288920205 .................
[CV]  c1=0.07397859731609842, c2=0.029260890288920205, score=0.751722 -   1.4s
[CV] c1=1.0863386583090267, c2=0.007588190896289883 ..................
[CV]  c1=1.0863386583090267, c2=0.007588190896289883, score=0.873046 -   1.8s
[CV] c1=0.7716185030739643, c2=0.18207769689339415 ...................
[CV]  c1=0.7716185030739643, c2=0.18207769689339415, score=0.804776 -   1.7s
[CV] c1=0.1457222959616001, c2=0.17673432825833416 ...................
[CV]  c1=0.1457222959616001, c2=0.17673432825833416, score=0.778231 -   1.6s
[CV] c1=0.8323772134158005, c2=0.11354053467388388 ...................
[CV]  c1=0.8323772134158005, c2=0.11354053467388388, score=0.642489 -   1.3s
[CV] c1=0.5181557050826823, c2=0.022658408792526525 ..................
[CV]  c1=0.5181557050826823, c2=0.022658408792526525, score=0.751572 -   1.8s
[CV] c1=1.3512342941972562, c2=0.03739483203191233 ...................
[CV]  c1=1.3512342941972562, c2=0.03739483203191233, score=0.608642 -   1.3s
[CV] c1=0.25756093254868656, c2=0.023310406104783247 .................
[CV]  c1=0.25756093254868656, c2=0.023310406104783247, score=0.906742 -   1.7s
[CV] c1=0.007269466909359532, c2=0.07983454557526679 .................
[CV]  c1=0.007269466909359532, c2=0.07983454557526679, score=0.878531 -   1.7s
[CV] c1=0.14769395093917706, c2=0.02910891786757075 ..................
[CV]  c1=0.14769395093917706, c2=0.02910891786757075, score=0.809081 -   1.7s
[CV] c1=0.5162605363323295, c2=0.1521258308231137 ....................
[CV]  c1=0.5162605363323295, c2=0.1521258308231137, score=0.715353 -   1.7s
[CV] c1=0.28575276201163763, c2=0.005874861877990237 .................
[CV]  c1=0.28575276201163763, c2=0.005874861877990237, score=0.811449 -   1.7s
[CV] c1=0.7441069174066204, c2=0.09149739212880395 ...................
[CV]  c1=0.7441069174066204, c2=0.09149739212880395, score=0.643615 -   1.3s
[CV] c1=0.4435254812081989, c2=0.06620987198368401 ...................
[CV]  c1=0.4435254812081989, c2=0.06620987198368401, score=0.809286 -   1.7s
[CV] c1=0.4073869287111141, c2=0.043614941970917566 ..................
[CV]  c1=0.4073869287111141, c2=0.043614941970917566, score=0.824423 -   1.7s
[CV] c1=0.037079459751363134, c2=0.01694655455882693 .................
[CV]  c1=0.037079459751363134, c2=0.01694655455882693, score=0.769864 -   1.3s
[CV] c1=1.063980410136246, c2=0.0047312691051774975 ..................
[CV]  c1=1.063980410136246, c2=0.0047312691051774975, score=0.658472 -   1.1s
[CV] c1=1.213298300528486, c2=0.015054130435847291 ...................
[CV]  c1=1.213298300528486, c2=0.015054130435847291, score=0.650290 -   1.4s
[CV] c1=0.6860057322161962, c2=0.05233197492167299 ...................
[CV]  c1=0.6860057322161962, c2=0.05233197492167299, score=0.872440 -   1.7s
[CV] c1=0.13612879705272415, c2=0.023644639356958604 .................
[CV]  c1=0.13612879705272415, c2=0.023644639356958604, score=0.743667 -   1.4s
[CV] c1=0.25756093254868656, c2=0.023310406104783247 .................
[CV]  c1=0.25756093254868656, c2=0.023310406104783247, score=0.862013 -   1.7s
[CV] c1=1.0901437936246998, c2=0.058611418842310616 ..................
[CV]  c1=1.0901437936246998, c2=0.058611418842310616, score=0.634572 -   1.4s
[CV] c1=0.2759635479944556, c2=0.026353940335847665 ..................
[CV]  c1=0.2759635479944556, c2=0.026353940335847665, score=0.910645 -   1.7s
[CV] c1=0.5162605363323295, c2=0.1521258308231137 ....................
[CV]  c1=0.5162605363323295, c2=0.1521258308231137, score=0.697248 -   1.4s
[CV] c1=0.21540739380669988, c2=0.10583431797761163 ..................
[CV]  c1=0.21540739380669988, c2=0.10583431797761163, score=0.732110 -   1.4s
[CV] c1=0.5449673663593712, c2=0.04275810308970008 ...................
[CV]  c1=0.5449673663593712, c2=0.04275810308970008, score=0.896640 -   1.7s
[CV] c1=0.07397859731609842, c2=0.029260890288920205 .................
[CV]  c1=0.07397859731609842, c2=0.029260890288920205, score=0.889719 -   1.7s
[CV] c1=0.4747417455137994, c2=0.004118373723763304 ..................
[CV]  c1=0.4747417455137994, c2=0.004118373723763304, score=0.726031 -   1.4s
[CV] c1=0.7716185030739643, c2=0.18207769689339415 ...................
[CV]  c1=0.7716185030739643, c2=0.18207769689339415, score=0.699999 -   1.8s
[CV] c1=0.32114847574325966, c2=0.026135847181237012 .................
[CV]  c1=0.32114847574325966, c2=0.026135847181237012, score=0.908287 -   1.7s
[CV] c1=0.22065988934084935, c2=0.046573972885594936 .................
[CV]  c1=0.22065988934084935, c2=0.046573972885594936, score=0.903970 -   1.7s
[CV] c1=0.2889658995882343, c2=0.11129213680881998 ...................
[CV]  c1=0.2889658995882343, c2=0.11129213680881998, score=0.786101 -   1.8s
[CV] c1=0.13612879705272415, c2=0.023644639356958604 .................
[CV]  c1=0.13612879705272415, c2=0.023644639356958604, score=0.800837 -   1.7s
[CV] c1=1.1699021421184708, c2=0.15938271287021513 ...................
[CV]  c1=1.1699021421184708, c2=0.15938271287021513, score=0.851831 -   1.9s
[CV] c1=0.21988616980844147, c2=0.04266248657833232 ..................
[CV]  c1=0.21988616980844147, c2=0.04266248657833232, score=0.911556 -   1.7s
[CV] c1=0.031183218438062626, c2=0.14701569986932647 .................
[CV]  c1=0.031183218438062626, c2=0.14701569986932647, score=0.756402 -   1.3s
[CV] c1=0.2656855290680333, c2=0.00291087058336738 ...................
[CV]  c1=0.2656855290680333, c2=0.00291087058336738, score=0.727464 -   1.3s
[CV] c1=0.28575276201163763, c2=0.005874861877990237 .................
[CV]  c1=0.28575276201163763, c2=0.005874861877990237, score=0.712113 -   1.4s
[CV] c1=1.39167039337033, c2=0.03260464233728402 .....................
[CV]  c1=1.39167039337033, c2=0.03260464233728402, score=0.641969 -   1.8s
[CV] c1=1.303070371157959, c2=0.01287113607008341 ....................
[CV]  c1=1.303070371157959, c2=0.01287113607008341, score=0.866465 -   1.7s
[CV] c1=0.4073869287111141, c2=0.043614941970917566 ..................
[CV]  c1=0.4073869287111141, c2=0.043614941970917566, score=0.871305 -   1.8s
[CV] c1=0.037079459751363134, c2=0.01694655455882693 .................
[CV]  c1=0.037079459751363134, c2=0.01694655455882693, score=0.861010 -   1.6s
[CV] c1=0.0707657746227615, c2=0.025225578606571993 ..................
[CV]  c1=0.0707657746227615, c2=0.025225578606571993, score=0.754869 -   1.1s
[CV] c1=1.213298300528486, c2=0.015054130435847291 ...................
[CV]  c1=1.213298300528486, c2=0.015054130435847291, score=0.800716 -   1.6s
[CV] c1=2.3985864302839195, c2=0.0020791701833517817 .................
[CV]  c1=2.3985864302839195, c2=0.0020791701833517817, score=0.622154 -   1.7s
[CV] c1=0.22419399494249548, c2=0.02600910984349681 ..................
[CV]  c1=0.22419399494249548, c2=0.02600910984349681, score=0.890993 -   1.7s
[CV] c1=0.121922733882416, c2=0.010006070322911087 ...................
[CV]  c1=0.121922733882416, c2=0.010006070322911087, score=0.802641 -   1.6s
[CV] c1=0.21988616980844147, c2=0.04266248657833232 ..................
[CV]  c1=0.21988616980844147, c2=0.04266248657833232, score=0.823012 -   1.8s
[CV] c1=0.24706463517641974, c2=0.008468234384304578 .................
[CV]  c1=0.24706463517641974, c2=0.008468234384304578, score=0.796608 -   1.8s
[CV] c1=0.01619553927565075, c2=0.1519225464356474 ...................
[CV]  c1=0.01619553927565075, c2=0.1519225464356474, score=0.804695 -   1.7s
[CV] c1=0.677707646686801, c2=0.05807379724836054 ....................
[CV]  c1=0.677707646686801, c2=0.05807379724836054, score=0.811747 -   1.6s
[CV] c1=0.35086839328743696, c2=0.07475172104896907 ..................
[CV]  c1=0.35086839328743696, c2=0.07475172104896907, score=0.770129 -   1.7s
[CV] c1=1.0863386583090267, c2=0.007588190896289883 ..................
[CV]  c1=1.0863386583090267, c2=0.007588190896289883, score=0.648066 -   1.9s
[CV] c1=0.7716185030739643, c2=0.18207769689339415 ...................
[CV]  c1=0.7716185030739643, c2=0.18207769689339415, score=0.702266 -   1.8s
[CV] c1=0.32114847574325966, c2=0.026135847181237012 .................
[CV]  c1=0.32114847574325966, c2=0.026135847181237012, score=0.832943 -   1.4s
[CV] c1=0.3383024046500895, c2=0.0003534675505184426 .................
[CV]  c1=0.3383024046500895, c2=0.0003534675505184426, score=0.721331 -   1.2s
[CV] c1=1.399809768322859, c2=0.016509227839435578 ...................
[CV]  c1=1.399809768322859, c2=0.016509227839435578, score=0.857538 -   1.6s
[CV] c1=0.11178546517494199, c2=0.03717545498500123 ..................
[CV]  c1=0.11178546517494199, c2=0.03717545498500123, score=0.897967 -   1.7s
[CV] c1=0.23368355620553308, c2=0.09674630510132419 ..................
[CV]  c1=0.23368355620553308, c2=0.09674630510132419, score=0.777306 -   1.8s
[CV] c1=0.22748236375769482, c2=0.02816836314202676 ..................
[CV]  c1=0.22748236375769482, c2=0.02816836314202676, score=0.866965 -   1.6s
[CV] c1=0.1036183700487528, c2=0.04662847211111415 ...................
[CV]  c1=0.1036183700487528, c2=0.04662847211111415, score=0.858778 -   1.7s
[CV] c1=0.07836738706773885, c2=0.13798614617417787 ..................
[CV]  c1=0.07836738706773885, c2=0.13798614617417787, score=0.883470 -   1.7s
[CV] c1=0.03788220558668229, c2=0.11069780327091983 ..................
[CV]  c1=0.03788220558668229, c2=0.11069780327091983, score=0.806751 -   1.8s
[CV] c1=1.39167039337033, c2=0.03260464233728402 .....................
[CV]  c1=1.39167039337033, c2=0.03260464233728402, score=0.600314 -   1.4s
[CV] c1=0.35086839328743696, c2=0.07475172104896907 ..................
[CV]  c1=0.35086839328743696, c2=0.07475172104896907, score=0.816074 -   1.7s
[CV] c1=0.4747417455137994, c2=0.004118373723763304 ..................
[CV]  c1=0.4747417455137994, c2=0.004118373723763304, score=0.763383 -   1.7s
[CV] c1=0.07163725700163182, c2=0.06737927016390562 ..................
[CV]  c1=0.07163725700163182, c2=0.06737927016390562, score=0.781828 -   1.8s
[CV] c1=1.063980410136246, c2=0.0047312691051774975 ..................
[CV]  c1=1.063980410136246, c2=0.0047312691051774975, score=0.797793 -   1.2s
[CV] c1=0.14990625764809212, c2=0.0027377372990656378 ................
[CV]  c1=0.14990625764809212, c2=0.0027377372990656378, score=0.893649 -   1.5s
[CV] c1=1.5151101468325439, c2=0.019594191061742865 ..................
[CV]  c1=1.5151101468325439, c2=0.019594191061742865, score=0.589761 -   1.3s
[CV] c1=0.11178546517494199, c2=0.03717545498500123 ..................
[CV]  c1=0.11178546517494199, c2=0.03717545498500123, score=0.792691 -   1.6s
[CV] c1=0.23368355620553308, c2=0.09674630510132419 ..................
[CV]  c1=0.23368355620553308, c2=0.09674630510132419, score=0.888577 -   1.8s
[CV] c1=0.22748236375769482, c2=0.02816836314202676 ..................
[CV]  c1=0.22748236375769482, c2=0.02816836314202676, score=0.802641 -   1.9s
[CV] c1=0.14769395093917706, c2=0.02910891786757075 ..................
[CV]  c1=0.14769395093917706, c2=0.02910891786757075, score=0.882777 -   1.7s
[CV] c1=1.0149606005391238, c2=0.008123223706514178 ..................
[CV]  c1=1.0149606005391238, c2=0.008123223706514178, score=0.662701 -   1.7s
[CV] c1=0.21540739380669988, c2=0.10583431797761163 ..................
[CV]  c1=0.21540739380669988, c2=0.10583431797761163, score=0.818714 -   1.6s
[CV] c1=0.5449673663593712, c2=0.04275810308970008 ...................
[CV]  c1=0.5449673663593712, c2=0.04275810308970008, score=0.844795 -   1.7s
[CV] c1=0.4435254812081989, c2=0.06620987198368401 ...................
[CV]  c1=0.4435254812081989, c2=0.06620987198368401, score=0.732272 -   1.4s
[CV] c1=0.4747417455137994, c2=0.004118373723763304 ..................
[CV]  c1=0.4747417455137994, c2=0.004118373723763304, score=0.890260 -   1.8s
[CV] c1=0.07163725700163182, c2=0.06737927016390562 ..................
[CV]  c1=0.07163725700163182, c2=0.06737927016390562, score=0.858770 -   1.7s
[CV] c1=0.32114847574325966, c2=0.026135847181237012 .................
[CV]  c1=0.32114847574325966, c2=0.026135847181237012, score=0.781105 -   1.5s
[CV] c1=0.9438574526134879, c2=0.04933756777991323 ...................
[CV]  c1=0.9438574526134879, c2=0.04933756777991323, score=0.786564 -   1.6s
[CV] c1=0.5181557050826823, c2=0.022658408792526525 ..................
[CV]  c1=0.5181557050826823, c2=0.022658408792526525, score=0.827523 -   1.6s
[CV] c1=0.5911266719616585, c2=0.033181174485832875 ..................
[CV]  c1=0.5911266719616585, c2=0.033181174485832875, score=0.711436 -   1.3s
[CV] c1=0.283002363988031, c2=0.051564542864592805 ...................
[CV]  c1=0.283002363988031, c2=0.051564542864592805, score=0.791397 -   1.9s
[CV] c1=0.007269466909359532, c2=0.07983454557526679 .................
[CV]  c1=0.007269466909359532, c2=0.07983454557526679, score=0.775104 -   1.6s
[CV] c1=0.14769395093917706, c2=0.02910891786757075 ..................
[CV]  c1=0.14769395093917706, c2=0.02910891786757075, score=0.854456 -   1.7s
[CV] c1=1.0149606005391238, c2=0.008123223706514178 ..................
[CV]  c1=1.0149606005391238, c2=0.008123223706514178, score=0.785482 -   1.8s
[CV] c1=0.28575276201163763, c2=0.005874861877990237 .................
[CV]  c1=0.28575276201163763, c2=0.005874861877990237, score=0.909444 -   1.6s
[CV] c1=0.6344827290020737, c2=0.013557532949526399 ..................
[CV]  c1=0.6344827290020737, c2=0.013557532949526399, score=0.714377 -   1.4s
[CV] c1=0.07397859731609842, c2=0.029260890288920205 .................
[CV]  c1=0.07397859731609842, c2=0.029260890288920205, score=0.790583 -   1.8s
[CV] c1=0.4073869287111141, c2=0.043614941970917566 ..................
[CV]  c1=0.4073869287111141, c2=0.043614941970917566, score=0.718467 -   1.4s
[CV] c1=0.07163725700163182, c2=0.06737927016390562 ..................
[CV]  c1=0.07163725700163182, c2=0.06737927016390562, score=0.885096 -   1.8s
[CV] c1=0.32114847574325966, c2=0.026135847181237012 .................
[CV]  c1=0.32114847574325966, c2=0.026135847181237012, score=0.862013 -   1.5s
[CV] c1=1.6921763196606217, c2=2.422364669477049e-05 .................
[CV]  c1=1.6921763196606217, c2=2.422364669477049e-05, score=0.725685 -   1.5s
[CV] c1=0.38683996486106387, c2=0.044234292550653 ....................
[CV]  c1=0.38683996486106387, c2=0.044234292550653, score=0.724827 -   1.3s
[CV] c1=1.119700252482296, c2=0.038024054596143504 ...................
[CV]  c1=1.119700252482296, c2=0.038024054596143504, score=0.786536 -   1.6s
[CV] c1=1.1699021421184708, c2=0.15938271287021513 ...................
[CV]  c1=1.1699021421184708, c2=0.15938271287021513, score=0.605082 -   1.3s
[CV] c1=1.0901437936246998, c2=0.058611418842310616 ..................
[CV]  c1=1.0901437936246998, c2=0.058611418842310616, score=0.798735 -   1.6s
[CV] c1=0.9726757718127094, c2=0.017538125424807725 ..................
[CV]  c1=0.9726757718127094, c2=0.017538125424807725, score=0.873046 -   1.7s
[CV] c1=0.5162605363323295, c2=0.1521258308231137 ....................
[CV]  c1=0.5162605363323295, c2=0.1521258308231137, score=0.795451 -   1.8s
[CV] c1=0.6738051254925908, c2=0.01084209453589081 ...................
[CV]  c1=0.6738051254925908, c2=0.01084209453589081, score=0.740287 -   1.7s
[CV] c1=0.7441069174066204, c2=0.09149739212880395 ...................
[CV]  c1=0.7441069174066204, c2=0.09149739212880395, score=0.822160 -   1.6s
[CV] c1=0.08647325204597384, c2=0.026913321381371542 .................
[CV]  c1=0.08647325204597384, c2=0.026913321381371542, score=0.742645 -   1.4s
[CV] c1=0.4073869287111141, c2=0.043614941970917566 ..................
[CV]  c1=0.4073869287111141, c2=0.043614941970917566, score=0.755632 -   1.7s
[CV] c1=0.8257522204550956, c2=0.09190224703607028 ...................
[CV]  c1=0.8257522204550956, c2=0.09190224703607028, score=0.806432 -   1.6s
[CV] c1=1.063980410136246, c2=0.0047312691051774975 ..................
[CV]  c1=1.063980410136246, c2=0.0047312691051774975, score=0.642222 -   1.3s
[CV] c1=0.22065988934084935, c2=0.046573972885594936 .................
[CV]  c1=0.22065988934084935, c2=0.046573972885594936, score=0.867011 -   1.5s
[CV] c1=0.2889658995882343, c2=0.11129213680881998 ...................
[CV]  c1=0.2889658995882343, c2=0.11129213680881998, score=0.900508 -   1.7s
[CV] c1=1.3512342941972562, c2=0.03739483203191233 ...................
[CV]  c1=1.3512342941972562, c2=0.03739483203191233, score=0.647946 -   1.6s
[CV] c1=0.061647237734679235, c2=0.009776314978400608 ................
[CV]  c1=0.061647237734679235, c2=0.009776314978400608, score=0.869079 -   1.5s
[CV] c1=0.007269466909359532, c2=0.07983454557526679 .................
[CV]  c1=0.007269466909359532, c2=0.07983454557526679, score=0.785565 -   1.8s
[CV] c1=0.9726757718127094, c2=0.017538125424807725 ..................
[CV]  c1=0.9726757718127094, c2=0.017538125424807725, score=0.661342 -   1.7s
[CV] c1=0.2656855290680333, c2=0.00291087058336738 ...................
[CV]  c1=0.2656855290680333, c2=0.00291087058336738, score=0.905541 -   1.7s
[CV] c1=0.07396747259471256, c2=0.01639537372088613 ..................
[CV]  c1=0.07396747259471256, c2=0.01639537372088613, score=0.886425 -   1.6s
[CV] c1=0.7645765633730559, c2=0.020786203764327597 ..................
[CV]  c1=0.7645765633730559, c2=0.020786203764327597, score=0.866294 -   1.8s
[CV] c1=0.2752571001876341, c2=0.0002921841929626291 .................
[CV]  c1=0.2752571001876341, c2=0.0002921841929626291, score=0.864218 -   1.7s
[CV] c1=1.7464413560398806, c2=0.018000291346809524 ..................
[CV]  c1=1.7464413560398806, c2=0.018000291346809524, score=0.569550 -   1.3s
[CV] c1=0.42993653631292755, c2=0.032052532109216124 .................
[CV]  c1=0.42993653631292755, c2=0.032052532109216124, score=0.847199 -   1.6s
[CV] c1=1.2338424303035436, c2=0.009311110684953541 ..................
[CV]  c1=1.2338424303035436, c2=0.009311110684953541, score=0.653757 -   1.0s
[CV] c1=0.8323772134158005, c2=0.11354053467388388 ...................
[CV]  c1=0.8323772134158005, c2=0.11354053467388388, score=0.655097 -   1.7s
[CV] c1=2.3985864302839195, c2=0.0020791701833517817 .................
[CV]  c1=2.3985864302839195, c2=0.0020791701833517817, score=0.545981 -   1.3s
[CV] c1=1.3512342941972562, c2=0.03739483203191233 ...................
[CV]  c1=1.3512342941972562, c2=0.03739483203191233, score=0.630548 -   1.7s
[CV] c1=0.32447946043747833, c2=0.07512485336117448 ..................
[CV]  c1=0.32447946043747833, c2=0.07512485336117448, score=0.884991 -   1.8s
[CV] c1=0.10027381372868208, c2=0.025843796223627192 .................
[CV]  c1=0.10027381372868208, c2=0.025843796223627192, score=0.790131 -   1.7s
[CV] c1=0.9440341145898674, c2=0.0024048770523303416 .................
[CV]  c1=0.9440341145898674, c2=0.0024048770523303416, score=0.703897 -   1.4s
[CV] c1=0.2689815786720161, c2=0.04826856650263703 ...................
[CV]  c1=0.2689815786720161, c2=0.04826856650263703, score=0.814257 -   1.8s
[CV] c1=0.07396747259471256, c2=0.01639537372088613 ..................
[CV]  c1=0.07396747259471256, c2=0.01639537372088613, score=0.749910 -   1.4s
[CV] c1=0.6344827290020737, c2=0.013557532949526399 ..................
[CV]  c1=0.6344827290020737, c2=0.013557532949526399, score=0.802429 -   1.7s
[CV] c1=1.303070371157959, c2=0.01287113607008341 ....................
[CV]  c1=1.303070371157959, c2=0.01287113607008341, score=0.631051 -   1.7s
[CV] c1=0.1798169758040397, c2=0.036448473308867295 ..................
[CV]  c1=0.1798169758040397, c2=0.036448473308867295, score=0.858664 -   1.8s
[CV] c1=0.42993653631292755, c2=0.032052532109216124 .................
[CV]  c1=0.42993653631292755, c2=0.032052532109216124, score=0.727404 -   1.4s
[CV] c1=1.063980410136246, c2=0.0047312691051774975 ..................
[CV]  c1=1.063980410136246, c2=0.0047312691051774975, score=0.673704 -   1.3s
[CV] c1=0.8323772134158005, c2=0.11354053467388388 ...................
[CV]  c1=0.8323772134158005, c2=0.11354053467388388, score=0.804527 -   1.8s
[CV] c1=1.4824376508839594, c2=0.06305248218931143 ...................
[CV]  c1=1.4824376508839594, c2=0.06305248218931143, score=0.856007 -   1.9s
[CV] c1=1.7153457140751087, c2=0.0007295704292215504 .................
[CV]  c1=1.7153457140751087, c2=0.0007295704292215504, score=0.639827 -   1.8s
[CV] c1=0.2274694300691082, c2=0.0018969924017619112 .................
[CV]  c1=0.2274694300691082, c2=0.0018969924017619112, score=0.837727 -   1.8s
[CV] c1=0.1036183700487528, c2=0.04662847211111415 ...................
[CV]  c1=0.1036183700487528, c2=0.04662847211111415, score=0.791435 -   1.7s
[CV] c1=0.07836738706773885, c2=0.13798614617417787 ..................
[CV]  c1=0.07836738706773885, c2=0.13798614617417787, score=0.825549 -   1.7s
[CV] c1=0.21540739380669988, c2=0.10583431797761163 ..................
[CV]  c1=0.21540739380669988, c2=0.10583431797761163, score=0.890440 -   1.6s
[CV] c1=1.39167039337033, c2=0.03260464233728402 .....................
[CV]  c1=1.39167039337033, c2=0.03260464233728402, score=0.868759 -   1.8s
[CV] c1=0.4435254812081989, c2=0.06620987198368401 ...................
[CV]  c1=0.4435254812081989, c2=0.06620987198368401, score=0.857178 -   1.8s
[CV] c1=0.1798169758040397, c2=0.036448473308867295 ..................
[CV]  c1=0.1798169758040397, c2=0.036448473308867295, score=0.739850 -   1.3s
[CV] c1=0.8257522204550956, c2=0.09190224703607028 ...................
[CV]  c1=0.8257522204550956, c2=0.09190224703607028, score=0.865543 -   1.7s
[CV] c1=1.063980410136246, c2=0.0047312691051774975 ..................
[CV]  c1=1.063980410136246, c2=0.0047312691051774975, score=0.873046 -   1.5s
[CV] c1=0.14990625764809212, c2=0.0027377372990656378 ................
[CV]  c1=0.14990625764809212, c2=0.0027377372990656378, score=0.793334 -   1.6s
[CV] c1=0.5181557050826823, c2=0.022658408792526525 ..................
[CV]  c1=0.5181557050826823, c2=0.022658408792526525, score=0.720785 -   1.4s
[CV] c1=0.06881339851691709, c2=0.014586774247086412 .................
[CV]  c1=0.06881339851691709, c2=0.014586774247086412, score=0.754869 -   1.3s
[CV] c1=0.23368355620553308, c2=0.09674630510132419 ..................
[CV]  c1=0.23368355620553308, c2=0.09674630510132419, score=0.725709 -   1.5s
[CV] c1=0.2274694300691082, c2=0.0018969924017619112 .................
[CV]  c1=0.2274694300691082, c2=0.0018969924017619112, score=0.796608 -   1.8s
[CV] c1=0.26683274860778244, c2=0.01579445397417717 ..................
[CV]  c1=0.26683274860778244, c2=0.01579445397417717, score=0.849458 -   1.8s
[CV] c1=0.24706463517641974, c2=0.008468234384304578 .................
[CV]  c1=0.24706463517641974, c2=0.008468234384304578, score=0.856468 -   1.8s
[CV] c1=0.03788220558668229, c2=0.11069780327091983 ..................
[CV]  c1=0.03788220558668229, c2=0.11069780327091983, score=0.752817 -   1.3s
[CV] c1=0.677707646686801, c2=0.05807379724836054 ....................
[CV]  c1=0.677707646686801, c2=0.05807379724836054, score=0.728339 -   1.9s
[CV] c1=0.07397859731609842, c2=0.029260890288920205 .................
[CV]  c1=0.07397859731609842, c2=0.029260890288920205, score=0.793824 -   1.8s
[CV] c1=0.4747417455137994, c2=0.004118373723763304 ..................
[CV]  c1=0.4747417455137994, c2=0.004118373723763304, score=0.816074 -   1.8s
[CV] c1=0.8257522204550956, c2=0.09190224703607028 ...................
[CV]  c1=0.8257522204550956, c2=0.09190224703607028, score=0.697603 -   1.9s
[CV] c1=0.0707657746227615, c2=0.025225578606571993 ..................
[CV]  c1=0.0707657746227615, c2=0.025225578606571993, score=0.889719 -   1.2s
[CV] c1=0.3383024046500895, c2=0.0003534675505184426 .................
[CV]  c1=0.3383024046500895, c2=0.0003534675505184426, score=0.794909 -   1.7s
[CV] c1=1.5151101468325439, c2=0.019594191061742865 ..................
[CV]  c1=1.5151101468325439, c2=0.019594191061742865, score=0.572761 -   1.9s
[CV] c1=0.5911266719616585, c2=0.033181174485832875 ..................
[CV]  c1=0.5911266719616585, c2=0.033181174485832875, score=0.836908 -   1.8s
[CV] c1=0.061647237734679235, c2=0.009776314978400608 ................
[CV]  c1=0.061647237734679235, c2=0.009776314978400608, score=0.817390 -   1.8s
[CV] c1=0.10027381372868208, c2=0.025843796223627192 .................
[CV]  c1=0.10027381372868208, c2=0.025843796223627192, score=0.803196 -   1.7s
[CV] c1=0.9440341145898674, c2=0.0024048770523303416 .................
[CV]  c1=0.9440341145898674, c2=0.0024048770523303416, score=0.869926 -   1.7s
[CV] c1=1.057926735082023, c2=0.049779991406913526 ...................
[CV]  c1=1.057926735082023, c2=0.049779991406913526, score=0.872699 -   1.7s
[CV] c1=0.5344813907351637, c2=0.012231161841096126 ..................
[CV]  c1=0.5344813907351637, c2=0.012231161841096126, score=0.720785 -   1.5s
[CV] c1=0.7645765633730559, c2=0.020786203764327597 ..................
[CV]  c1=0.7645765633730559, c2=0.020786203764327597, score=0.680214 -   1.3s
[CV] c1=1.303070371157959, c2=0.01287113607008341 ....................
[CV]  c1=1.303070371157959, c2=0.01287113607008341, score=0.641575 -   1.7s
[CV] c1=0.1798169758040397, c2=0.036448473308867295 ..................
[CV]  c1=0.1798169758040397, c2=0.036448473308867295, score=0.800837 -   1.7s
[CV] c1=0.037079459751363134, c2=0.01694655455882693 .................
[CV]  c1=0.037079459751363134, c2=0.01694655455882693, score=0.788795 -   1.7s
[CV] c1=0.0707657746227615, c2=0.025225578606571993 ..................
[CV]  c1=0.0707657746227615, c2=0.025225578606571993, score=0.840740 -   1.2s
[CV] c1=0.9438574526134879, c2=0.04933756777991323 ...................
[CV]  c1=0.9438574526134879, c2=0.04933756777991323, score=0.868154 -   1.6s
[CV] c1=0.5181557050826823, c2=0.022658408792526525 ..................
[CV]  c1=0.5181557050826823, c2=0.022658408792526525, score=0.815444 -   1.7s
[CV] c1=1.3512342941972562, c2=0.03739483203191233 ...................
[CV]  c1=1.3512342941972562, c2=0.03739483203191233, score=0.858946 -   1.6s
[CV] c1=0.25756093254868656, c2=0.023310406104783247 .................
[CV]  c1=0.25756093254868656, c2=0.023310406104783247, score=0.817905 -   1.8s
[CV] c1=1.0901437936246998, c2=0.058611418842310616 ..................
[CV]  c1=1.0901437936246998, c2=0.058611418842310616, score=0.600715 -   1.7s
[CV] c1=0.9726757718127094, c2=0.017538125424807725 ..................
[CV]  c1=0.9726757718127094, c2=0.017538125424807725, score=0.704708 -   1.9s
[CV] c1=0.2656855290680333, c2=0.00291087058336738 ...................
[CV]  c1=0.2656855290680333, c2=0.00291087058336738, score=0.841024 -   1.8s
[CV] c1=0.5344813907351637, c2=0.012231161841096126 ..................
[CV]  c1=0.5344813907351637, c2=0.012231161841096126, score=0.824794 -   1.8s
[CV] c1=0.7342896986274028, c2=0.0032285114248774022 .................
[CV]  c1=0.7342896986274028, c2=0.0032285114248774022, score=0.709385 -   1.4s
[CV] c1=0.23349370992979918, c2=0.034232593562376866 .................
[CV]  c1=0.23349370992979918, c2=0.034232593562376866, score=0.730295 -   1.4s
[CV] c1=0.26922246234283664, c2=0.05522974648017738 ..................
[CV]  c1=0.26922246234283664, c2=0.05522974648017738, score=0.814257 -   1.7s
[CV] c1=0.17681500511814044, c2=0.01961468932109517 ..................
[CV]  c1=0.17681500511814044, c2=0.01961468932109517, score=0.740785 -   1.4s
[CV] c1=0.0707657746227615, c2=0.025225578606571993 ..................
[CV]  c1=0.0707657746227615, c2=0.025225578606571993, score=0.853487 -   1.2s
[CV] c1=1.213298300528486, c2=0.015054130435847291 ...................
[CV]  c1=1.213298300528486, c2=0.015054130435847291, score=0.661981 -   1.7s
[CV] c1=2.3985864302839195, c2=0.0020791701833517817 .................
[CV]  c1=2.3985864302839195, c2=0.0020791701833517817, score=0.547764 -   1.9s
[CV] c1=1.7153457140751087, c2=0.0007295704292215504 .................
[CV]  c1=1.7153457140751087, c2=0.0007295704292215504, score=0.813429 -   1.7s
[CV] c1=0.121922733882416, c2=0.010006070322911087 ...................
[CV]  c1=0.121922733882416, c2=0.010006070322911087, score=0.852486 -   1.7s
[CV] c1=0.26683274860778244, c2=0.01579445397417717 ..................
[CV]  c1=0.26683274860778244, c2=0.01579445397417717, score=0.722968 -   1.4s
[CV] c1=0.031183218438062626, c2=0.14701569986932647 .................
[CV]  c1=0.031183218438062626, c2=0.14701569986932647, score=0.882653 -   1.7s
[CV] c1=0.63441555355732, c2=0.02249850492496925 .....................
[CV]  c1=0.63441555355732, c2=0.02249850492496925, score=0.885693 -   1.7s
[CV] c1=1.1071898663046398, c2=0.08584796979399784 ...................
[CV]  c1=1.1071898663046398, c2=0.08584796979399784, score=0.627637 -   1.8s
[CV] c1=0.7342896986274028, c2=0.0032285114248774022 .................
[CV]  c1=0.7342896986274028, c2=0.0032285114248774022, score=0.705351 -   1.7s
[CV] c1=1.0830756259646128, c2=0.11196077185630529 ...................
[CV]  c1=1.0830756259646128, c2=0.11196077185630529, score=0.616224 -   1.7s
[CV] c1=0.7716185030739643, c2=0.18207769689339415 ...................
[CV]  c1=0.7716185030739643, c2=0.18207769689339415, score=0.865543 -   1.7s
[CV] c1=0.1457222959616001, c2=0.17673432825833416 ...................
[CV]  c1=0.1457222959616001, c2=0.17673432825833416, score=0.790141 -   1.5s
[CV] c1=0.22065988934084935, c2=0.046573972885594936 .................
[CV]  c1=0.22065988934084935, c2=0.046573972885594936, score=0.796569 -   1.6s
[CV] c1=0.2889658995882343, c2=0.11129213680881998 ...................
[CV]  c1=0.2889658995882343, c2=0.11129213680881998, score=0.863073 -   1.6s
[CV] c1=1.3512342941972562, c2=0.03739483203191233 ...................
[CV]  c1=1.3512342941972562, c2=0.03739483203191233, score=0.726696 -   1.8s
[CV] c1=0.32447946043747833, c2=0.07512485336117448 ..................
[CV]  c1=0.32447946043747833, c2=0.07512485336117448, score=0.779218 -   1.8s
[CV] c1=0.9135860394887109, c2=0.014909961637782588 ..................
[CV]  c1=0.9135860394887109, c2=0.014909961637782588, score=0.683406 -   1.4s
[CV] c1=0.9726757718127094, c2=0.017538125424807725 ..................
[CV]  c1=0.9726757718127094, c2=0.017538125424807725, score=0.786536 -   1.6s
[CV] c1=0.2689815786720161, c2=0.04826856650263703 ...................
[CV]  c1=0.2689815786720161, c2=0.04826856650263703, score=0.906469 -   1.7s
[CV] c1=0.6738051254925908, c2=0.01084209453589081 ...................
[CV]  c1=0.6738051254925908, c2=0.01084209453589081, score=0.717471 -   1.4s
[CV] c1=0.6344827290020737, c2=0.013557532949526399 ..................
[CV]  c1=0.6344827290020737, c2=0.013557532949526399, score=0.881935 -   1.8s
[CV] c1=1.303070371157959, c2=0.01287113607008341 ....................
[CV]  c1=1.303070371157959, c2=0.01287113607008341, score=0.782909 -   1.6s
[CV] c1=0.1798169758040397, c2=0.036448473308867295 ..................
[CV]  c1=0.1798169758040397, c2=0.036448473308867295, score=0.896927 -   1.7s
[CV] c1=0.037079459751363134, c2=0.01694655455882693 .................
[CV]  c1=0.037079459751363134, c2=0.01694655455882693, score=0.878146 -   1.8s
[CV] c1=1.2338424303035436, c2=0.009311110684953541 ..................
[CV]  c1=1.2338424303035436, c2=0.009311110684953541, score=0.868316 -   1.2s
[CV] c1=0.2545668581813172, c2=0.003645812248352836 ..................
[CV]  c1=0.2545668581813172, c2=0.003645812248352836, score=0.869269 -   1.6s
[CV] c1=1.4824376508839594, c2=0.06305248218931143 ...................
[CV]  c1=1.4824376508839594, c2=0.06305248218931143, score=0.732960 -   1.6s
[CV] c1=0.22419399494249548, c2=0.02600910984349681 ..................
[CV]  c1=0.22419399494249548, c2=0.02600910984349681, score=0.724484 -   1.3s
[CV] c1=0.32447946043747833, c2=0.07512485336117448 ..................
[CV]  c1=0.32447946043747833, c2=0.07512485336117448, score=0.871305 -   1.6s
[CV] c1=0.10027381372868208, c2=0.025843796223627192 .................
[CV]  c1=0.10027381372868208, c2=0.025843796223627192, score=0.708304 -   1.3s
[CV] c1=0.2759635479944556, c2=0.026353940335847665 ..................
[CV]  c1=0.2759635479944556, c2=0.026353940335847665, score=0.867011 -   1.7s
[CV] c1=0.5162605363323295, c2=0.1521258308231137 ....................
[CV]  c1=0.5162605363323295, c2=0.1521258308231137, score=0.824465 -   1.7s
[CV] c1=0.28575276201163763, c2=0.005874861877990237 .................
[CV]  c1=0.28575276201163763, c2=0.005874861877990237, score=0.800837 -   1.9s
[CV] c1=0.7441069174066204, c2=0.09149739212880395 ...................
[CV]  c1=0.7441069174066204, c2=0.09149739212880395, score=0.695818 -   1.8s
[CV] c1=0.2752571001876341, c2=0.0002921841929626291 .................
[CV]  c1=0.2752571001876341, c2=0.0002921841929626291, score=0.725849 -   1.4s
[CV] c1=0.1798169758040397, c2=0.036448473308867295 ..................
[CV]  c1=0.1798169758040397, c2=0.036448473308867295, score=0.873868 -   1.6s
[CV] c1=0.8257522204550956, c2=0.09190224703607028 ...................
[CV]  c1=0.8257522204550956, c2=0.09190224703607028, score=0.798244 -   1.7s
[CV] c1=0.0707657746227615, c2=0.025225578606571993 ..................
[CV]  c1=0.0707657746227615, c2=0.025225578606571993, score=0.782556 -   1.4s
[CV] c1=0.14990625764809212, c2=0.0027377372990656378 ................
[CV]  c1=0.14990625764809212, c2=0.0027377372990656378, score=0.875032 -   1.4s
[CV] c1=1.5151101468325439, c2=0.019594191061742865 ..................
[CV]  c1=1.5151101468325439, c2=0.019594191061742865, score=0.857095 -   1.8s
[CV] c1=0.06881339851691709, c2=0.014586774247086412 .................
[CV]  c1=0.06881339851691709, c2=0.014586774247086412, score=0.803428 -   1.7s
[CV] c1=0.283002363988031, c2=0.051564542864592805 ...................
[CV]  c1=0.283002363988031, c2=0.051564542864592805, score=0.841292 -   1.9s
[CV] c1=0.007269466909359532, c2=0.07983454557526679 .................
[CV]  c1=0.007269466909359532, c2=0.07983454557526679, score=0.825058 -   1.9s
[CV] c1=0.9726757718127094, c2=0.017538125424807725 ..................
[CV]  c1=0.9726757718127094, c2=0.017538125424807725, score=0.664964 -   1.4s
[CV] c1=1.0149606005391238, c2=0.008123223706514178 ..................
[CV]  c1=1.0149606005391238, c2=0.008123223706514178, score=0.701796 -   1.8s
[CV] c1=0.28575276201163763, c2=0.005874861877990237 .................
[CV]  c1=0.28575276201163763, c2=0.005874861877990237, score=0.862013 -   1.7s
[CV] c1=0.6344827290020737, c2=0.013557532949526399 ..................
[CV]  c1=0.6344827290020737, c2=0.013557532949526399, score=0.815183 -   1.8s
[CV] c1=0.08647325204597384, c2=0.026913321381371542 .................
[CV]  c1=0.08647325204597384, c2=0.026913321381371542, score=0.806769 -   1.8s
[CV] c1=0.2629342383996823, c2=0.043418842555850636 ..................
[CV]  c1=0.2629342383996823, c2=0.043418842555850636, score=0.789008 -   1.9s
[CV] c1=1.4345347974113392, c2=0.023629288992304064 ..................
[CV]  c1=1.4345347974113392, c2=0.023629288992304064, score=0.591768 -   1.4s
[CV] c1=1.2338424303035436, c2=0.009311110684953541 ..................
[CV]  c1=1.2338424303035436, c2=0.009311110684953541, score=0.656178 -   1.2s
Training done in: 23.871196s
     Saving training model...
        Saving training model done in: 0.013183s
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Prediction done in: 0.040100s