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

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Run14_v11.txt 73 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run14
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: TrueS4: True
Run variant: 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: 0.003691s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0        1
0        lemma        :
1       postag        :
2     -1:lemma       in
3    -1:postag       IN
4     +1:lemma       m9
5    +1:postag       NN
6       hUpper    False
7       hLower    False
8       hGreek    False
9         symb    False
10   lemma[:1]        :
11  postag[:1]        :
12    -2:lemma  culture
13   -2:postag      VBN
14    +2:lemma  minimal
15   +2:postag       JJ
16      -1:ner        _
17      +1:ner      MED
18      -2:ner        _
19      +2:ner      MED
--------------------------- FeaturesTest -----------------------------
             0           1
0        lemma  delta-arca
1       postag          NN
2     -1:lemma           _
3    -1:postag          NN
4     +1:lemma           _
5    +1:postag          CD
6       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10   lemma[:1]           d
11  postag[:1]           N
12   lemma[:2]          de
13  postag[:2]          NN
14    -2:lemma     affyexp
15   -2:postag          JJ
16    +2:lemma     glucose
17   +2:postag          NN
18      -1:ner           _
19      +1:ner           _
20      -2:ner           _
21      +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.5881090428732516, c2=0.03678960779835911 ...................
[CV]  c1=0.5881090428732516, c2=0.03678960779835911, score=0.809730 -   1.6s
[CV] c1=1.049218390084249, c2=0.004947423747346979 ...................
[CV]  c1=1.049218390084249, c2=0.004947423747346979, score=0.825058 -   1.6s
[CV] c1=0.5869368690331094, c2=0.04706407022187178 ...................
[CV]  c1=0.5869368690331094, c2=0.04706407022187178, score=0.893740 -   1.8s
[CV] c1=0.0057102365616473185, c2=0.017584096266275145 ...............
[CV]  c1=0.0057102365616473185, c2=0.017584096266275145, score=0.831130 -   1.5s
[CV] c1=0.37495088240606705, c2=0.039941759901681834 .................
[CV]  c1=0.37495088240606705, c2=0.039941759901681834, score=0.775864 -   1.6s
[CV] c1=0.42390115368487247, c2=0.05519447545440323 ..................
[CV]  c1=0.42390115368487247, c2=0.05519447545440323, score=0.862264 -   1.5s
[CV] c1=0.6843579878295039, c2=0.00366547992128914 ...................
[CV]  c1=0.6843579878295039, c2=0.00366547992128914, score=0.809730 -   1.6s
[CV] c1=0.08545815335459342, c2=0.03020717737485409 ..................
[CV]  c1=0.08545815335459342, c2=0.03020717737485409, score=0.840803 -   1.6s
[CV] c1=0.3736490895033531, c2=0.03007607803682973 ...................
[CV]  c1=0.3736490895033531, c2=0.03007607803682973, score=0.807648 -   1.1s
[CV] c1=0.8257400150281647, c2=0.023273783537989944 ..................
[CV]  c1=0.8257400150281647, c2=0.023273783537989944, score=0.755862 -   1.3s
[CV] c1=0.007378010287255391, c2=0.004742206391253202 ................
[CV]  c1=0.007378010287255391, c2=0.004742206391253202, score=0.835701 -   1.6s
[CV] c1=0.3596656344885462, c2=0.020798147571764843 ..................
[CV]  c1=0.3596656344885462, c2=0.020798147571764843, score=0.770170 -   1.7s
[CV] c1=0.05711937070867948, c2=0.013052825165816545 .................
[CV]  c1=0.05711937070867948, c2=0.013052825165816545, score=0.855866 -   1.3s
[CV] c1=0.27905290928200804, c2=0.08397184620504408 ..................
[CV]  c1=0.27905290928200804, c2=0.08397184620504408, score=0.790738 -   1.6s
[CV] c1=0.1697721903811023, c2=0.10746934675314786 ...................
[CV]  c1=0.1697721903811023, c2=0.10746934675314786, score=0.876044 -   1.6s
[CV] c1=0.14164617171811109, c2=0.04997699036453621 ..................
[CV]  c1=0.14164617171811109, c2=0.04997699036453621, score=0.794229 -   1.5s
[CV] c1=0.3170216654741829, c2=0.01046037574159093 ...................
[CV]  c1=0.3170216654741829, c2=0.01046037574159093, score=0.859573 -   1.6s
[CV] c1=0.35995985547176484, c2=0.0269366957001545 ...................
[CV]  c1=0.35995985547176484, c2=0.0269366957001545, score=0.879898 -   1.7s
[CV] c1=0.4350537138900594, c2=0.013638808298569142 ..................
[CV]  c1=0.4350537138900594, c2=0.013638808298569142, score=0.845724 -   1.6s
[CV] c1=0.7126624068406737, c2=0.027517675216687423 ..................
[CV]  c1=0.7126624068406737, c2=0.027517675216687423, score=0.801316 -   1.7s
[CV] c1=0.0022722118303813675, c2=0.03351477261740443 ................
[CV]  c1=0.0022722118303813675, c2=0.03351477261740443, score=0.855597 -   1.4s
[CV] c1=0.3507196206655005, c2=0.29861534738038803 ...................
[CV]  c1=0.3507196206655005, c2=0.29861534738038803, score=0.797067 -   1.5s
[CV] c1=0.7331320219474328, c2=0.027572731792704364 ..................
[CV]  c1=0.7331320219474328, c2=0.027572731792704364, score=0.799470 -   1.5s
[CV] c1=0.291206672654717, c2=0.15507786032169688 ....................
[CV]  c1=0.291206672654717, c2=0.15507786032169688, score=0.881941 -   1.7s
[CV] c1=0.06474398057994372, c2=0.16439065815818246 ..................
[CV]  c1=0.06474398057994372, c2=0.16439065815818246, score=0.890913 -   1.7s
[CV] c1=0.2900393234231441, c2=0.0694227997442133 ....................
[CV]  c1=0.2900393234231441, c2=0.0694227997442133, score=0.830504 -   1.5s
[CV] c1=0.02392463674180274, c2=0.047434260326878086 .................
[CV]  c1=0.02392463674180274, c2=0.047434260326878086, score=0.823018 -   1.2s
[CV] c1=0.510788004436526, c2=0.05062106865565308 ....................
[CV]  c1=0.510788004436526, c2=0.05062106865565308, score=0.721758 -   1.5s
[CV] c1=0.07089207297338677, c2=0.011908252552254769 .................
[CV]  c1=0.07089207297338677, c2=0.011908252552254769, score=0.848802 -   1.5s
[CV] c1=0.8317438719654041, c2=0.10801562855196103 ...................
[CV]  c1=0.8317438719654041, c2=0.10801562855196103, score=0.683599 -   1.7s
[CV] c1=0.4761640998155952, c2=0.04914532575343689 ...................
[CV]  c1=0.4761640998155952, c2=0.04914532575343689, score=0.848605 -   1.6s
[CV] c1=0.3022793516220613, c2=0.07863265466652217 ...................
[CV]  c1=0.3022793516220613, c2=0.07863265466652217, score=0.780835 -   1.3s
[CV] c1=0.03536747444049399, c2=0.052187108485254756 .................
[CV]  c1=0.03536747444049399, c2=0.052187108485254756, score=0.854825 -   1.6s
[CV] c1=0.3507196206655005, c2=0.29861534738038803 ...................
[CV]  c1=0.3507196206655005, c2=0.29861534738038803, score=0.697313 -   1.6s
[CV] c1=0.32440690974370245, c2=0.023013050431471463 .................
[CV]  c1=0.32440690974370245, c2=0.023013050431471463, score=0.918463 -   1.6s
[CV] c1=0.291206672654717, c2=0.15507786032169688 ....................
[CV]  c1=0.291206672654717, c2=0.15507786032169688, score=0.850727 -   1.5s
[CV] c1=0.37148163855418465, c2=0.03594465103275947 ..................
[CV]  c1=0.37148163855418465, c2=0.03594465103275947, score=0.802532 -   1.3s
[CV] c1=0.00409443049548168, c2=0.03418175411871737 ..................
[CV]  c1=0.00409443049548168, c2=0.03418175411871737, score=0.848410 -   1.5s
[CV] c1=0.02392463674180274, c2=0.047434260326878086 .................
[CV]  c1=0.02392463674180274, c2=0.047434260326878086, score=0.850279 -   1.5s
[CV] c1=0.0057102365616473185, c2=0.017584096266275145 ...............
[CV]  c1=0.0057102365616473185, c2=0.017584096266275145, score=0.804983 -   1.6s
[CV] c1=0.1816441030518201, c2=0.053079560179868514 ..................
[CV]  c1=0.1816441030518201, c2=0.053079560179868514, score=0.894302 -   1.5s
[CV] c1=0.09802523227404089, c2=0.05512422915284716 ..................
[CV]  c1=0.09802523227404089, c2=0.05512422915284716, score=0.814888 -   1.3s
[CV] c1=0.33185795252234673, c2=0.03444237379899675 ..................
[CV]  c1=0.33185795252234673, c2=0.03444237379899675, score=0.859573 -   1.4s
[CV] c1=0.3022793516220613, c2=0.07863265466652217 ...................
[CV]  c1=0.3022793516220613, c2=0.07863265466652217, score=0.884388 -   1.5s
[CV] c1=0.7146903449275559, c2=0.049568429620237386 ..................
[CV]  c1=0.7146903449275559, c2=0.049568429620237386, score=0.882179 -   1.6s
[CV] c1=0.8257400150281647, c2=0.023273783537989944 ..................
[CV]  c1=0.8257400150281647, c2=0.023273783537989944, score=0.816533 -   1.5s
[CV] c1=0.1706908544734029, c2=0.0253022216402211 ....................
[CV]  c1=0.1706908544734029, c2=0.0253022216402211, score=0.787238 -   1.3s
[CV] c1=0.3596656344885462, c2=0.020798147571764843 ..................
[CV]  c1=0.3596656344885462, c2=0.020798147571764843, score=0.898543 -   1.7s
[CV] c1=0.22000564486228752, c2=0.05849374323432353 ..................
[CV]  c1=0.22000564486228752, c2=0.05849374323432353, score=0.857318 -   1.5s
[CV] c1=0.00409443049548168, c2=0.03418175411871737 ..................
[CV]  c1=0.00409443049548168, c2=0.03418175411871737, score=0.805959 -   1.3s
[CV] c1=0.6745773013653575, c2=0.053069254572634665 ..................
[CV]  c1=0.6745773013653575, c2=0.053069254572634665, score=0.693713 -   1.6s
[CV] c1=0.01936035939080093, c2=0.04405780361516607 ..................
[CV]  c1=0.01936035939080093, c2=0.04405780361516607, score=0.869403 -   1.4s
[CV] c1=0.07089207297338677, c2=0.011908252552254769 .................
[CV]  c1=0.07089207297338677, c2=0.011908252552254769, score=0.805293 -   1.2s
[CV] c1=0.35995985547176484, c2=0.0269366957001545 ...................
[CV]  c1=0.35995985547176484, c2=0.0269366957001545, score=0.861876 -   1.5s
[CV] c1=0.7107223690750704, c2=0.00936489383246576 ...................
[CV]  c1=0.7107223690750704, c2=0.00936489383246576, score=0.809429 -   1.5s
[CV] c1=1.0995858115089423, c2=0.0769816618844063 ....................
[CV]  c1=1.0995858115089423, c2=0.0769816618844063, score=0.764839 -   1.5s
[CV] c1=0.6691856975787388, c2=0.05532754888449241 ...................
[CV]  c1=0.6691856975787388, c2=0.05532754888449241, score=0.801316 -   1.7s
[CV] c1=0.4095851789297998, c2=0.038171705249193305 ..................
[CV]  c1=0.4095851789297998, c2=0.038171705249193305, score=0.748704 -   1.7s
[CV] c1=0.7331320219474328, c2=0.027572731792704364 ..................
[CV]  c1=0.7331320219474328, c2=0.027572731792704364, score=0.825430 -   1.7s
[CV] c1=0.4980883094666762, c2=0.13914859670470886 ...................
[CV]  c1=0.4980883094666762, c2=0.13914859670470886, score=0.863572 -   1.5s
[CV] c1=0.660071523089771, c2=0.1972461758907003 .....................
[CV]  c1=0.660071523089771, c2=0.1972461758907003, score=0.805423 -   1.6s
[CV] c1=0.06917484486900607, c2=0.019754393869199652 .................
[CV]  c1=0.06917484486900607, c2=0.019754393869199652, score=0.831778 -   1.6s
[CV] c1=0.23526531391421365, c2=0.014209781170597497 .................
[CV]  c1=0.23526531391421365, c2=0.014209781170597497, score=0.908131 -   1.5s
[CV] c1=0.07725327369153852, c2=0.021524061892896733 .................
[CV]  c1=0.07725327369153852, c2=0.021524061892896733, score=0.799909 -   1.2s
[CV] c1=0.37495088240606705, c2=0.039941759901681834 .................
[CV]  c1=0.37495088240606705, c2=0.039941759901681834, score=0.875381 -   1.6s
[CV] c1=0.09802523227404089, c2=0.05512422915284716 ..................
[CV]  c1=0.09802523227404089, c2=0.05512422915284716, score=0.858939 -   1.5s
[CV] c1=0.07146666810751746, c2=0.06544517387666186 ..................
[CV]  c1=0.07146666810751746, c2=0.06544517387666186, score=0.842123 -   1.2s
[CV] c1=0.3022793516220613, c2=0.07863265466652217 ...................
[CV]  c1=0.3022793516220613, c2=0.07863265466652217, score=0.853325 -   1.5s
[CV] c1=0.7146903449275559, c2=0.049568429620237386 ..................
[CV]  c1=0.7146903449275559, c2=0.049568429620237386, score=0.708356 -   1.6s
[CV] c1=0.07369452698255691, c2=0.14459729983288788 ..................
[CV]  c1=0.07369452698255691, c2=0.14459729983288788, score=0.879686 -   1.5s
[CV] c1=0.32440690974370245, c2=0.023013050431471463 .................
[CV]  c1=0.32440690974370245, c2=0.023013050431471463, score=0.871553 -   1.6s
[CV] c1=0.4980883094666762, c2=0.13914859670470886 ...................
[CV]  c1=0.4980883094666762, c2=0.13914859670470886, score=0.687061 -   1.5s
[CV] c1=1.2684060115599922, c2=0.04106935897673147 ...................
[CV]  c1=1.2684060115599922, c2=0.04106935897673147, score=0.759710 -   1.6s
[CV] c1=0.2900393234231441, c2=0.0694227997442133 ....................
[CV]  c1=0.2900393234231441, c2=0.0694227997442133, score=0.879610 -   1.5s
[CV] c1=0.5869368690331094, c2=0.04706407022187178 ...................
[CV]  c1=0.5869368690331094, c2=0.04706407022187178, score=0.721758 -   1.6s
[CV] c1=0.01936035939080093, c2=0.04405780361516607 ..................
[CV]  c1=0.01936035939080093, c2=0.04405780361516607, score=0.824969 -   1.6s
[CV] c1=0.37495088240606705, c2=0.039941759901681834 .................
[CV]  c1=0.37495088240606705, c2=0.039941759901681834, score=0.803583 -   1.3s
[CV] c1=0.09005738502607721, c2=0.055081171193031846 .................
[CV]  c1=0.09005738502607721, c2=0.055081171193031846, score=0.885341 -   1.6s
[CV] c1=0.33185795252234673, c2=0.03444237379899675 ..................
[CV]  c1=0.33185795252234673, c2=0.03444237379899675, score=0.901170 -   1.6s
[CV] c1=0.3022793516220613, c2=0.07863265466652217 ...................
[CV]  c1=0.3022793516220613, c2=0.07863265466652217, score=0.867699 -   1.6s
[CV] c1=0.1976467511466546, c2=0.020853670262011313 ..................
[CV]  c1=0.1976467511466546, c2=0.020853670262011313, score=0.887878 -   1.5s
[CV] c1=0.8257400150281647, c2=0.023273783537989944 ..................
[CV]  c1=0.8257400150281647, c2=0.023273783537989944, score=0.771387 -   1.7s
[CV] c1=0.1706908544734029, c2=0.0253022216402211 ....................
[CV]  c1=0.1706908544734029, c2=0.0253022216402211, score=0.841254 -   1.6s
[CV] c1=0.5248850252865436, c2=0.059364652643663765 ..................
[CV]  c1=0.5248850252865436, c2=0.059364652643663765, score=0.768242 -   1.3s
[CV] c1=0.22000564486228752, c2=0.05849374323432353 ..................
[CV]  c1=0.22000564486228752, c2=0.05849374323432353, score=0.873445 -   1.6s
[CV] c1=0.06917484486900607, c2=0.019754393869199652 .................
[CV]  c1=0.06917484486900607, c2=0.019754393869199652, score=0.802140 -   1.5s
[CV] c1=0.59255641944335, c2=0.058336096506908346 ....................
[CV]  c1=0.59255641944335, c2=0.058336096506908346, score=0.801316 -   1.6s
[CV] c1=0.32685735790037695, c2=0.01613561918928854 ..................
[CV]  c1=0.32685735790037695, c2=0.01613561918928854, score=0.832587 -   1.6s
[CV] c1=1.3650279662442628, c2=0.007841679113328087 ..................
[CV]  c1=1.3650279662442628, c2=0.007841679113328087, score=0.756723 -   1.5s
[CV] c1=0.5534270199254804, c2=0.06919459202483941 ...................
[CV]  c1=0.5534270199254804, c2=0.06919459202483941, score=0.721758 -   1.6s
[CV] c1=0.2972782870874812, c2=0.05345202647455327 ...................
[CV]  c1=0.2972782870874812, c2=0.05345202647455327, score=0.857318 -   1.5s
[CV] c1=1.4734542827638926, c2=0.026371307464365626 ..................
[CV]  c1=1.4734542827638926, c2=0.026371307464365626, score=0.639807 -   1.6s
[CV] c1=0.5194164552242669, c2=0.032613657197637376 ..................
[CV]  c1=0.5194164552242669, c2=0.032613657197637376, score=0.784267 -   1.2s
[CV] c1=0.07369452698255691, c2=0.14459729983288788 ..................
[CV]  c1=0.07369452698255691, c2=0.14459729983288788, score=0.866462 -   1.4s
[CV] c1=0.1706908544734029, c2=0.0253022216402211 ....................
[CV]  c1=0.1706908544734029, c2=0.0253022216402211, score=0.788709 -   1.6s
[CV] c1=0.4980883094666762, c2=0.13914859670470886 ...................
[CV]  c1=0.4980883094666762, c2=0.13914859670470886, score=0.832112 -   1.6s
[CV] c1=1.2684060115599922, c2=0.04106935897673147 ...................
[CV]  c1=1.2684060115599922, c2=0.04106935897673147, score=0.731871 -   1.3s
[CV] c1=0.570882132682692, c2=0.1351689926671496 .....................
[CV]  c1=0.570882132682692, c2=0.1351689926671496, score=0.700284 -   1.6s
[CV] c1=0.9029974484239435, c2=0.02121264683333075 ...................
[CV]  c1=0.9029974484239435, c2=0.02121264683333075, score=0.706427 -   1.5s
[CV] c1=0.14164617171811109, c2=0.04997699036453621 ..................
[CV]  c1=0.14164617171811109, c2=0.04997699036453621, score=0.793675 -   1.6s
[CV] c1=0.1723449402029267, c2=0.05531044488421225 ...................
[CV]  c1=0.1723449402029267, c2=0.05531044488421225, score=0.841377 -   1.6s
[CV] c1=0.8317438719654041, c2=0.10801562855196103 ...................
[CV]  c1=0.8317438719654041, c2=0.10801562855196103, score=0.777069 -   1.5s
[CV] c1=0.4761640998155952, c2=0.04914532575343689 ...................
[CV]  c1=0.4761640998155952, c2=0.04914532575343689, score=0.822800 -   1.5s
[CV] c1=0.16979688510423993, c2=0.04781254198999802 ..................
[CV]  c1=0.16979688510423993, c2=0.04781254198999802, score=0.873445 -   1.7s
[CV] c1=0.7146903449275559, c2=0.049568429620237386 ..................
[CV]  c1=0.7146903449275559, c2=0.049568429620237386, score=0.809794 -   1.6s
[CV] c1=0.07369452698255691, c2=0.14459729983288788 ..................
[CV]  c1=0.07369452698255691, c2=0.14459729983288788, score=0.772373 -   1.5s
[CV] c1=0.1706908544734029, c2=0.0253022216402211 ....................
[CV]  c1=0.1706908544734029, c2=0.0253022216402211, score=0.859573 -   1.5s
[CV] c1=0.4980883094666762, c2=0.13914859670470886 ...................
[CV]  c1=0.4980883094666762, c2=0.13914859670470886, score=0.807175 -   1.6s
[CV] c1=0.660071523089771, c2=0.1972461758907003 .....................
[CV]  c1=0.660071523089771, c2=0.1972461758907003, score=0.837623 -   1.5s
[CV] c1=0.06917484486900607, c2=0.019754393869199652 .................
[CV]  c1=0.06917484486900607, c2=0.019754393869199652, score=0.894624 -   1.6s
[CV] c1=0.59255641944335, c2=0.058336096506908346 ....................
[CV]  c1=0.59255641944335, c2=0.058336096506908346, score=0.725193 -   1.3s
[CV] c1=0.01936035939080093, c2=0.04405780361516607 ..................
[CV]  c1=0.01936035939080093, c2=0.04405780361516607, score=0.848350 -   1.5s
[CV] c1=1.4966627275580957, c2=0.035024296023260196 ..................
[CV]  c1=1.4966627275580957, c2=0.035024296023260196, score=0.630231 -   1.6s
[CV] c1=0.42390115368487247, c2=0.05519447545440323 ..................
[CV]  c1=0.42390115368487247, c2=0.05519447545440323, score=0.748948 -   2.1s
[CV] c1=0.42652735778275347, c2=0.03090487206886787 ..................
[CV]  c1=0.42652735778275347, c2=0.03090487206886787, score=0.906168 -   1.6s
[CV] c1=0.2785069301511475, c2=0.06312468010621632 ...................
[CV]  c1=0.2785069301511475, c2=0.06312468010621632, score=0.900877 -   1.6s
[CV] c1=0.45112821261702396, c2=0.06481152079283765 ..................
[CV]  c1=0.45112821261702396, c2=0.06481152079283765, score=0.782723 -   1.2s
[CV] c1=0.038565896742445274, c2=0.0066487670401834805 ...............
[CV]  c1=0.038565896742445274, c2=0.0066487670401834805, score=0.874268 -   1.6s
[CV] c1=0.36298072116073404, c2=0.002336988733060484 .................
[CV]  c1=0.36298072116073404, c2=0.002336988733060484, score=0.782186 -   1.3s
[CV] c1=0.5248850252865436, c2=0.059364652643663765 ..................
[CV]  c1=0.5248850252865436, c2=0.059364652643663765, score=0.893740 -   1.4s
[CV] c1=1.2684060115599922, c2=0.04106935897673147 ...................
[CV]  c1=1.2684060115599922, c2=0.04106935897673147, score=0.645115 -   1.6s
[CV] c1=0.2900393234231441, c2=0.0694227997442133 ....................
[CV]  c1=0.2900393234231441, c2=0.0694227997442133, score=0.790738 -   1.6s
[CV] c1=0.02392463674180274, c2=0.047434260326878086 .................
[CV]  c1=0.02392463674180274, c2=0.047434260326878086, score=0.869403 -   1.6s
[CV] c1=0.0057102365616473185, c2=0.017584096266275145 ...............
[CV]  c1=0.0057102365616473185, c2=0.017584096266275145, score=0.887817 -   1.5s
[CV] c1=0.37495088240606705, c2=0.039941759901681834 .................
[CV]  c1=0.37495088240606705, c2=0.039941759901681834, score=0.901170 -   1.6s
[CV] c1=0.42390115368487247, c2=0.05519447545440323 ..................
[CV]  c1=0.42390115368487247, c2=0.05519447545440323, score=0.835958 -   1.7s
[CV] c1=0.07146666810751746, c2=0.06544517387666186 ..................
[CV]  c1=0.07146666810751746, c2=0.06544517387666186, score=0.799708 -   1.7s
[CV] c1=0.036582766719224356, c2=0.032313197023867965 ................
[CV]  c1=0.036582766719224356, c2=0.032313197023867965, score=0.839747 -   1.3s
[CV] c1=0.3736490895033531, c2=0.03007607803682973 ...................
[CV]  c1=0.3736490895033531, c2=0.03007607803682973, score=0.918463 -   1.5s
[CV] c1=0.5135166009262927, c2=0.07276902967381389 ...................
[CV]  c1=0.5135166009262927, c2=0.07276902967381389, score=0.771146 -   1.2s
[CV] c1=0.32440690974370245, c2=0.023013050431471463 .................
[CV]  c1=0.32440690974370245, c2=0.023013050431471463, score=0.764859 -   1.5s
[CV] c1=0.291206672654717, c2=0.15507786032169688 ....................
[CV]  c1=0.291206672654717, c2=0.15507786032169688, score=0.755081 -   1.6s
[CV] c1=0.05711937070867948, c2=0.013052825165816545 .................
[CV]  c1=0.05711937070867948, c2=0.013052825165816545, score=0.877175 -   1.4s
[CV] c1=0.27905290928200804, c2=0.08397184620504408 ..................
[CV]  c1=0.27905290928200804, c2=0.08397184620504408, score=0.859979 -   1.8s
[CV] c1=0.9029974484239435, c2=0.02121264683333075 ...................
[CV]  c1=0.9029974484239435, c2=0.02121264683333075, score=0.790067 -   1.5s
[CV] c1=0.510788004436526, c2=0.05062106865565308 ....................
[CV]  c1=0.510788004436526, c2=0.05062106865565308, score=0.888875 -   1.6s
[CV] c1=0.07089207297338677, c2=0.011908252552254769 .................
[CV]  c1=0.07089207297338677, c2=0.011908252552254769, score=0.799708 -   1.6s
[CV] c1=0.8317438719654041, c2=0.10801562855196103 ...................
[CV]  c1=0.8317438719654041, c2=0.10801562855196103, score=0.742129 -   1.7s
[CV] c1=0.33185795252234673, c2=0.03444237379899675 ..................
[CV]  c1=0.33185795252234673, c2=0.03444237379899675, score=0.767879 -   1.6s
[CV] c1=0.08545815335459342, c2=0.03020717737485409 ..................
[CV]  c1=0.08545815335459342, c2=0.03020717737485409, score=0.893106 -   1.7s
[CV] c1=0.1976467511466546, c2=0.020853670262011313 ..................
[CV]  c1=0.1976467511466546, c2=0.020853670262011313, score=0.859573 -   1.5s
[CV] c1=0.07369452698255691, c2=0.14459729983288788 ..................
[CV]  c1=0.07369452698255691, c2=0.14459729983288788, score=0.854825 -   1.7s
[CV] c1=0.6231937141563678, c2=0.009368239014084226 ..................
[CV]  c1=0.6231937141563678, c2=0.009368239014084226, score=0.824078 -   1.6s
[CV] c1=0.4328447495311577, c2=0.012669311160642936 ..................
[CV]  c1=0.4328447495311577, c2=0.012669311160642936, score=0.802483 -   1.3s
[CV] c1=0.05711937070867948, c2=0.013052825165816545 .................
[CV]  c1=0.05711937070867948, c2=0.013052825165816545, score=0.799708 -   1.3s
[CV] c1=0.27905290928200804, c2=0.08397184620504408 ..................
[CV]  c1=0.27905290928200804, c2=0.08397184620504408, score=0.793996 -   1.3s
[CV] c1=1.3288922545042134, c2=0.034469554891793326 ..................
[CV]  c1=1.3288922545042134, c2=0.034469554891793326, score=0.637256 -   1.6s
[CV] c1=0.025888784619198895, c2=0.02536934617887517 .................
[CV]  c1=0.025888784619198895, c2=0.02536934617887517, score=0.834200 -   1.6s
[CV] c1=0.3170216654741829, c2=0.01046037574159093 ...................
[CV]  c1=0.3170216654741829, c2=0.01046037574159093, score=0.803193 -   1.3s
[CV] c1=0.656788515777649, c2=0.04017420583361697 ....................
[CV]  c1=0.656788515777649, c2=0.04017420583361697, score=0.721839 -   1.5s
[CV] c1=0.09723432837818818, c2=0.03875365734699727 ..................
[CV]  c1=0.09723432837818818, c2=0.03875365734699727, score=0.816079 -   1.2s
[CV] c1=0.2972782870874812, c2=0.05345202647455327 ...................
[CV]  c1=0.2972782870874812, c2=0.05345202647455327, score=0.803263 -   1.3s
[CV] c1=1.4734542827638926, c2=0.026371307464365626 ..................
[CV]  c1=1.4734542827638926, c2=0.026371307464365626, score=0.852490 -   1.6s
[CV] c1=0.3736490895033531, c2=0.03007607803682973 ...................
[CV]  c1=0.3736490895033531, c2=0.03007607803682973, score=0.758081 -   1.5s
[CV] c1=0.5135166009262927, c2=0.07276902967381389 ...................
[CV]  c1=0.5135166009262927, c2=0.07276902967381389, score=0.807175 -   1.5s
[CV] c1=0.6231937141563678, c2=0.009368239014084226 ..................
[CV]  c1=0.6231937141563678, c2=0.009368239014084226, score=0.716735 -   1.6s
[CV] c1=0.4328447495311577, c2=0.012669311160642936 ..................
[CV]  c1=0.4328447495311577, c2=0.012669311160642936, score=0.908403 -   1.4s
[CV] c1=0.06474398057994372, c2=0.16439065815818246 ..................
[CV]  c1=0.06474398057994372, c2=0.16439065815818246, score=0.829011 -   1.6s
[CV] c1=0.00409443049548168, c2=0.03418175411871737 ..................
[CV]  c1=0.00409443049548168, c2=0.03418175411871737, score=0.824631 -   1.6s
[CV] c1=0.59255641944335, c2=0.058336096506908346 ....................
[CV]  c1=0.59255641944335, c2=0.058336096506908346, score=0.888868 -   1.5s
[CV] c1=0.0057102365616473185, c2=0.017584096266275145 ...............
[CV]  c1=0.0057102365616473185, c2=0.017584096266275145, score=0.787804 -   1.6s
[CV] c1=0.1816441030518201, c2=0.053079560179868514 ..................
[CV]  c1=0.1816441030518201, c2=0.053079560179868514, score=0.802240 -   1.2s
[CV] c1=0.42390115368487247, c2=0.05519447545440323 ..................
[CV]  c1=0.42390115368487247, c2=0.05519447545440323, score=0.891102 -   1.5s
[CV] c1=0.6843579878295039, c2=0.00366547992128914 ...................
[CV]  c1=0.6843579878295039, c2=0.00366547992128914, score=0.888822 -   1.6s
[CV] c1=0.08545815335459342, c2=0.03020717737485409 ..................
[CV]  c1=0.08545815335459342, c2=0.03020717737485409, score=0.799708 -   1.6s
[CV] c1=0.1976467511466546, c2=0.020853670262011313 ..................
[CV]  c1=0.1976467511466546, c2=0.020853670262011313, score=0.840914 -   1.6s
[CV] c1=0.5135166009262927, c2=0.07276902967381389 ...................
[CV]  c1=0.5135166009262927, c2=0.07276902967381389, score=0.863572 -   1.5s
[CV] c1=0.6231937141563678, c2=0.009368239014084226 ..................
[CV]  c1=0.6231937141563678, c2=0.009368239014084226, score=0.789202 -   1.2s
[CV] c1=0.291206672654717, c2=0.15507786032169688 ....................
[CV]  c1=0.291206672654717, c2=0.15507786032169688, score=0.810247 -   1.8s
[CV] c1=0.660071523089771, c2=0.1972461758907003 .....................
[CV]  c1=0.660071523089771, c2=0.1972461758907003, score=0.672983 -   2.0s
[CV] c1=1.3288922545042134, c2=0.034469554891793326 ..................
[CV]  c1=1.3288922545042134, c2=0.034469554891793326, score=0.865320 -   1.5s
[CV] c1=0.23526531391421365, c2=0.014209781170597497 .................
[CV]  c1=0.23526531391421365, c2=0.014209781170597497, score=0.864540 -   1.6s
[CV] c1=0.7014077813926546, c2=0.004039700351220156 ..................
[CV]  c1=0.7014077813926546, c2=0.004039700351220156, score=0.889301 -   1.4s
[CV] c1=1.3650279662442628, c2=0.007841679113328087 ..................
[CV]  c1=1.3650279662442628, c2=0.007841679113328087, score=0.639687 -   1.7s
[CV] c1=0.5534270199254804, c2=0.06919459202483941 ...................
[CV]  c1=0.5534270199254804, c2=0.06919459202483941, score=0.849206 -   1.5s
[CV] c1=0.2972782870874812, c2=0.05345202647455327 ...................
[CV]  c1=0.2972782870874812, c2=0.05345202647455327, score=0.841377 -   1.6s
[CV] c1=0.036582766719224356, c2=0.032313197023867965 ................
[CV]  c1=0.036582766719224356, c2=0.032313197023867965, score=0.824518 -   1.6s
[CV] c1=0.5194164552242669, c2=0.032613657197637376 ..................
[CV]  c1=0.5194164552242669, c2=0.032613657197637376, score=0.885609 -   1.6s
[CV] c1=0.8614702078839122, c2=0.08302775454851075 ...................
[CV]  c1=0.8614702078839122, c2=0.08302775454851075, score=0.736166 -   1.1s
[CV] c1=0.36298072116073404, c2=0.002336988733060484 .................
[CV]  c1=0.36298072116073404, c2=0.002336988733060484, score=0.912034 -   1.5s
[CV] c1=0.5248850252865436, c2=0.059364652643663765 ..................
[CV]  c1=0.5248850252865436, c2=0.059364652643663765, score=0.827682 -   1.4s
[CV] c1=0.37148163855418465, c2=0.03594465103275947 ..................
[CV]  c1=0.37148163855418465, c2=0.03594465103275947, score=0.897196 -   1.6s
[CV] c1=0.06917484486900607, c2=0.019754393869199652 .................
[CV]  c1=0.06917484486900607, c2=0.019754393869199652, score=0.855924 -   1.5s
[CV] c1=0.59255641944335, c2=0.058336096506908346 ....................
[CV]  c1=0.59255641944335, c2=0.058336096506908346, score=0.856888 -   1.5s
[CV] c1=0.32685735790037695, c2=0.01613561918928854 ..................
[CV]  c1=0.32685735790037695, c2=0.01613561918928854, score=0.859573 -   1.5s
[CV] c1=0.1816441030518201, c2=0.053079560179868514 ..................
[CV]  c1=0.1816441030518201, c2=0.053079560179868514, score=0.791300 -   1.6s
[CV] c1=0.09802523227404089, c2=0.05512422915284716 ..................
[CV]  c1=0.09802523227404089, c2=0.05512422915284716, score=0.841377 -   1.6s
[CV] c1=0.2972782870874812, c2=0.05345202647455327 ...................
[CV]  c1=0.2972782870874812, c2=0.05345202647455327, score=0.886251 -   1.6s
[CV] c1=0.036582766719224356, c2=0.032313197023867965 ................
[CV]  c1=0.036582766719224356, c2=0.032313197023867965, score=0.880630 -   1.5s
[CV] c1=0.3736490895033531, c2=0.03007607803682973 ...................
[CV]  c1=0.3736490895033531, c2=0.03007607803682973, score=0.867098 -   1.6s
[CV] c1=0.038565896742445274, c2=0.0066487670401834805 ...............
[CV]  c1=0.038565896742445274, c2=0.0066487670401834805, score=0.792666 -   1.5s
[CV] c1=0.36298072116073404, c2=0.002336988733060484 .................
[CV]  c1=0.36298072116073404, c2=0.002336988733060484, score=0.855250 -   1.5s
[CV] c1=0.4328447495311577, c2=0.012669311160642936 ..................
[CV]  c1=0.4328447495311577, c2=0.012669311160642936, score=0.898721 -   1.4s
[CV] c1=0.06474398057994372, c2=0.16439065815818246 ..................
[CV]  c1=0.06474398057994372, c2=0.16439065815818246, score=0.738644 -   1.2s
[CV] c1=0.570882132682692, c2=0.1351689926671496 .....................
[CV]  c1=0.570882132682692, c2=0.1351689926671496, score=0.841270 -   1.8s
[CV] c1=0.5869368690331094, c2=0.04706407022187178 ...................
[CV]  c1=0.5869368690331094, c2=0.04706407022187178, score=0.783955 -   1.2s
[CV] c1=0.14164617171811109, c2=0.04997699036453621 ..................
[CV]  c1=0.14164617171811109, c2=0.04997699036453621, score=0.841254 -   1.6s
[CV] c1=0.07089207297338677, c2=0.011908252552254769 .................
[CV]  c1=0.07089207297338677, c2=0.011908252552254769, score=0.885356 -   1.5s
[CV] c1=0.8317438719654041, c2=0.10801562855196103 ...................
[CV]  c1=0.8317438719654041, c2=0.10801562855196103, score=0.873771 -   1.5s
[CV] c1=0.4761640998155952, c2=0.04914532575343689 ...................
[CV]  c1=0.4761640998155952, c2=0.04914532575343689, score=0.895508 -   1.6s
[CV] c1=0.16979688510423993, c2=0.04781254198999802 ..................
[CV]  c1=0.16979688510423993, c2=0.04781254198999802, score=0.887452 -   1.5s
[CV] c1=0.0022722118303813675, c2=0.03351477261740443 ................
[CV]  c1=0.0022722118303813675, c2=0.03351477261740443, score=0.818055 -   1.3s
[CV] c1=0.4095851789297998, c2=0.038171705249193305 ..................
[CV]  c1=0.4095851789297998, c2=0.038171705249193305, score=0.808938 -   1.3s
[CV] c1=0.08592962825061623, c2=0.05012135820011222 ..................
[CV]  c1=0.08592962825061623, c2=0.05012135820011222, score=0.805745 -   1.2s
[CV] c1=0.36298072116073404, c2=0.002336988733060484 .................
[CV]  c1=0.36298072116073404, c2=0.002336988733060484, score=0.870482 -   1.6s
[CV] c1=0.10001977035183252, c2=0.014717681452479781 .................
[CV]  c1=0.10001977035183252, c2=0.014717681452479781, score=0.798122 -   1.2s
[CV] c1=0.00444682791069022, c2=0.007411715883721967 .................
[CV]  c1=0.00444682791069022, c2=0.007411715883721967, score=0.873862 -   1.2s
[CV] c1=0.855934878135884, c2=0.11145871321894155 ....................
[CV]  c1=0.855934878135884, c2=0.11145871321894155, score=0.728304 -   1.3s
[CV] c1=0.1406336408482676, c2=0.018633292684277807 ..................
[CV]  c1=0.1406336408482676, c2=0.018633292684277807, score=0.809771 -   1.3s
[CV] c1=0.59255641944335, c2=0.058336096506908346 ....................
[CV]  c1=0.59255641944335, c2=0.058336096506908346, score=0.708356 -   1.6s
[CV] c1=0.07725327369153852, c2=0.021524061892896733 .................
[CV]  c1=0.07725327369153852, c2=0.021524061892896733, score=0.896611 -   1.5s
[CV] c1=1.3650279662442628, c2=0.007841679113328087 ..................
[CV]  c1=1.3650279662442628, c2=0.007841679113328087, score=0.881165 -   1.6s
[CV] c1=0.5534270199254804, c2=0.06919459202483941 ...................
[CV]  c1=0.5534270199254804, c2=0.06919459202483941, score=0.751195 -   1.3s
[CV] c1=0.6843579878295039, c2=0.00366547992128914 ...................
[CV]  c1=0.6843579878295039, c2=0.00366547992128914, score=0.829718 -   1.7s
[CV] c1=1.4734542827638926, c2=0.026371307464365626 ..................
[CV]  c1=1.4734542827638926, c2=0.026371307464365626, score=0.740878 -   1.6s
[CV] c1=0.5194164552242669, c2=0.032613657197637376 ..................
[CV]  c1=0.5194164552242669, c2=0.032613657197637376, score=0.891241 -   1.6s
[CV] c1=0.038565896742445274, c2=0.0066487670401834805 ...............
[CV]  c1=0.038565896742445274, c2=0.0066487670401834805, score=0.823330 -   1.2s
[CV] c1=0.6231937141563678, c2=0.009368239014084226 ..................
[CV]  c1=0.6231937141563678, c2=0.009368239014084226, score=0.887241 -   1.6s
[CV] c1=0.5248850252865436, c2=0.059364652643663765 ..................
[CV]  c1=0.5248850252865436, c2=0.059364652643663765, score=0.721758 -   1.6s
[CV] c1=0.37148163855418465, c2=0.03594465103275947 ..................
[CV]  c1=0.37148163855418465, c2=0.03594465103275947, score=0.857318 -   1.7s
[CV] c1=0.1406336408482676, c2=0.018633292684277807 ..................
[CV]  c1=0.1406336408482676, c2=0.018633292684277807, score=0.799708 -   1.6s
[CV] c1=0.025888784619198895, c2=0.02536934617887517 .................
[CV]  c1=0.025888784619198895, c2=0.02536934617887517, score=0.873581 -   1.5s
[CV] c1=0.07725327369153852, c2=0.021524061892896733 .................
[CV]  c1=0.07725327369153852, c2=0.021524061892896733, score=0.831448 -   1.6s
[CV] c1=0.656788515777649, c2=0.04017420583361697 ....................
[CV]  c1=0.656788515777649, c2=0.04017420583361697, score=0.744421 -   1.3s
[CV] c1=0.5534270199254804, c2=0.06919459202483941 ...................
[CV]  c1=0.5534270199254804, c2=0.06919459202483941, score=0.893205 -   1.5s
[CV] c1=0.07146666810751746, c2=0.06544517387666186 ..................
[CV]  c1=0.07146666810751746, c2=0.06544517387666186, score=0.831906 -   1.6s
[CV] c1=0.036582766719224356, c2=0.032313197023867965 ................
[CV]  c1=0.036582766719224356, c2=0.032313197023867965, score=0.859063 -   1.5s
[CV] c1=0.5194164552242669, c2=0.032613657197637376 ..................
[CV]  c1=0.5194164552242669, c2=0.032613657197637376, score=0.743007 -   1.6s
[CV] c1=0.8614702078839122, c2=0.08302775454851075 ...................
[CV]  c1=0.8614702078839122, c2=0.08302775454851075, score=0.876858 -   1.5s
[CV] c1=0.44351975696171764, c2=0.03747150515715909 ..................
[CV]  c1=0.44351975696171764, c2=0.03747150515715909, score=0.792224 -   1.3s
[CV] c1=0.5248850252865436, c2=0.059364652643663765 ..................
[CV]  c1=0.5248850252865436, c2=0.059364652643663765, score=0.885128 -   1.6s
[CV] c1=0.660071523089771, c2=0.1972461758907003 .....................
[CV]  c1=0.660071523089771, c2=0.1972461758907003, score=0.816588 -   1.6s
[CV] c1=0.1406336408482676, c2=0.018633292684277807 ..................
[CV]  c1=0.1406336408482676, c2=0.018633292684277807, score=0.882674 -   1.6s
[CV] c1=0.23526531391421365, c2=0.014209781170597497 .................
[CV]  c1=0.23526531391421365, c2=0.014209781170597497, score=0.799676 -   1.3s
[CV] c1=0.32685735790037695, c2=0.01613561918928854 ..................
[CV]  c1=0.32685735790037695, c2=0.01613561918928854, score=0.918463 -   1.6s
[CV] c1=0.1816441030518201, c2=0.053079560179868514 ..................
[CV]  c1=0.1816441030518201, c2=0.053079560179868514, score=0.857318 -   1.4s
[CV] c1=0.09802523227404089, c2=0.05512422915284716 ..................
[CV]  c1=0.09802523227404089, c2=0.05512422915284716, score=0.799708 -   1.6s
[CV] c1=0.07146666810751746, c2=0.06544517387666186 ..................
[CV]  c1=0.07146666810751746, c2=0.06544517387666186, score=0.862046 -   1.5s
[CV] c1=1.4734542827638926, c2=0.026371307464365626 ..................
[CV]  c1=1.4734542827638926, c2=0.026371307464365626, score=0.619809 -   1.6s
[CV] c1=0.3736490895033531, c2=0.03007607803682973 ...................
[CV]  c1=0.3736490895033531, c2=0.03007607803682973, score=0.859573 -   1.5s
[CV] c1=0.5135166009262927, c2=0.07276902967381389 ...................
[CV]  c1=0.5135166009262927, c2=0.07276902967381389, score=0.830324 -   1.7s
[CV] c1=0.36298072116073404, c2=0.002336988733060484 .................
[CV]  c1=0.36298072116073404, c2=0.002336988733060484, score=0.760492 -   1.6s
[CV] c1=0.4328447495311577, c2=0.012669311160642936 ..................
[CV]  c1=0.4328447495311577, c2=0.012669311160642936, score=0.853325 -   1.5s
[CV] c1=0.05711937070867948, c2=0.013052825165816545 .................
[CV]  c1=0.05711937070867948, c2=0.013052825165816545, score=0.843277 -   1.3s
[CV] c1=0.27905290928200804, c2=0.08397184620504408 ..................
[CV]  c1=0.27905290928200804, c2=0.08397184620504408, score=0.856995 -   1.5s
[CV] c1=0.1697721903811023, c2=0.10746934675314786 ...................
[CV]  c1=0.1697721903811023, c2=0.10746934675314786, score=0.863907 -   1.5s
[CV] c1=0.07250664451564304, c2=0.0006854036772409662 ................
[CV]  c1=0.07250664451564304, c2=0.0006854036772409662, score=0.789857 -   1.6s
[CV] c1=0.3170216654741829, c2=0.01046037574159093 ...................
[CV]  c1=0.3170216654741829, c2=0.01046037574159093, score=0.778863 -   1.6s
[CV] c1=0.4359820237768474, c2=0.019640473809677976 ..................
[CV]  c1=0.4359820237768474, c2=0.019640473809677976, score=0.899528 -   1.6s
[CV] c1=0.4350537138900594, c2=0.013638808298569142 ..................
[CV]  c1=0.4350537138900594, c2=0.013638808298569142, score=0.774409 -   1.3s
[CV] c1=1.0995858115089423, c2=0.0769816618844063 ....................
[CV]  c1=1.0995858115089423, c2=0.0769816618844063, score=0.726024 -   1.4s
[CV] c1=0.2785069301511475, c2=0.06312468010621632 ...................
[CV]  c1=0.2785069301511475, c2=0.06312468010621632, score=0.798095 -   1.4s
[CV] c1=0.5194164552242669, c2=0.032613657197637376 ..................
[CV]  c1=0.5194164552242669, c2=0.032613657197637376, score=0.809429 -   1.5s
[CV] c1=0.038565896742445274, c2=0.0066487670401834805 ...............
[CV]  c1=0.038565896742445274, c2=0.0066487670401834805, score=0.857318 -   1.5s
[CV] c1=0.44351975696171764, c2=0.03747150515715909 ..................
[CV]  c1=0.44351975696171764, c2=0.03747150515715909, score=0.901579 -   1.5s
[CV] c1=0.10001977035183252, c2=0.014717681452479781 .................
[CV]  c1=0.10001977035183252, c2=0.014717681452479781, score=0.876623 -   1.4s
[CV] c1=0.06474398057994372, c2=0.16439065815818246 ..................
[CV]  c1=0.06474398057994372, c2=0.16439065815818246, score=0.771771 -   1.6s
[CV] c1=0.00409443049548168, c2=0.03418175411871737 ..................
[CV]  c1=0.00409443049548168, c2=0.03418175411871737, score=0.885490 -   1.5s
[CV] c1=0.02392463674180274, c2=0.047434260326878086 .................
[CV]  c1=0.02392463674180274, c2=0.047434260326878086, score=0.809489 -   1.7s
[CV] c1=0.32685735790037695, c2=0.01613561918928854 ..................
[CV]  c1=0.32685735790037695, c2=0.01613561918928854, score=0.781559 -   1.3s
[CV] c1=0.37495088240606705, c2=0.039941759901681834 .................
[CV]  c1=0.37495088240606705, c2=0.039941759901681834, score=0.836963 -   1.3s
[CV] c1=0.09005738502607721, c2=0.055081171193031846 .................
[CV]  c1=0.09005738502607721, c2=0.055081171193031846, score=0.863974 -   1.6s
[CV] c1=0.6843579878295039, c2=0.00366547992128914 ...................
[CV]  c1=0.6843579878295039, c2=0.00366547992128914, score=0.736738 -   1.4s
[CV] c1=0.3022793516220613, c2=0.07863265466652217 ...................
[CV]  c1=0.3022793516220613, c2=0.07863265466652217, score=0.785213 -   1.8s
[CV] c1=0.1976467511466546, c2=0.020853670262011313 ..................
[CV]  c1=0.1976467511466546, c2=0.020853670262011313, score=0.780658 -   1.7s
[CV] c1=0.5135166009262927, c2=0.07276902967381389 ...................
[CV]  c1=0.5135166009262927, c2=0.07276902967381389, score=0.747200 -   1.6s
[CV] c1=0.6231937141563678, c2=0.009368239014084226 ..................
[CV]  c1=0.6231937141563678, c2=0.009368239014084226, score=0.834785 -   1.6s
[CV] c1=0.4328447495311577, c2=0.012669311160642936 ..................
[CV]  c1=0.4328447495311577, c2=0.012669311160642936, score=0.750450 -   1.5s
[CV] c1=0.5881090428732516, c2=0.03678960779835911 ...................
[CV]  c1=0.5881090428732516, c2=0.03678960779835911, score=0.716735 -   1.4s
[CV] c1=0.570882132682692, c2=0.1351689926671496 .....................
[CV]  c1=0.570882132682692, c2=0.1351689926671496, score=0.794819 -   1.7s
[CV] c1=0.6745773013653575, c2=0.053069254572634665 ..................
[CV]  c1=0.6745773013653575, c2=0.053069254572634665, score=0.790124 -   1.2s
[CV] c1=0.14164617171811109, c2=0.04997699036453621 ..................
[CV]  c1=0.14164617171811109, c2=0.04997699036453621, score=0.893106 -   1.6s
[CV] c1=0.1723449402029267, c2=0.05531044488421225 ...................
[CV]  c1=0.1723449402029267, c2=0.05531044488421225, score=0.804271 -   1.3s
[CV] c1=0.656788515777649, c2=0.04017420583361697 ....................
[CV]  c1=0.656788515777649, c2=0.04017420583361697, score=0.828429 -   1.6s
[CV] c1=0.7107223690750704, c2=0.00936489383246576 ...................
[CV]  c1=0.7107223690750704, c2=0.00936489383246576, score=0.751083 -   1.3s
[CV] c1=0.42652735778275347, c2=0.03090487206886787 ..................
[CV]  c1=0.42652735778275347, c2=0.03090487206886787, score=0.796289 -   1.3s
[CV] c1=0.036582766719224356, c2=0.032313197023867965 ................
[CV]  c1=0.036582766719224356, c2=0.032313197023867965, score=0.799708 -   1.7s
[CV] c1=0.45112821261702396, c2=0.06481152079283765 ..................
[CV]  c1=0.45112821261702396, c2=0.06481152079283765, score=0.881489 -   1.6s
[CV] c1=0.8614702078839122, c2=0.08302775454851075 ...................
[CV]  c1=0.8614702078839122, c2=0.08302775454851075, score=0.772520 -   1.5s
[CV] c1=0.44351975696171764, c2=0.03747150515715909 ..................
[CV]  c1=0.44351975696171764, c2=0.03747150515715909, score=0.752725 -   1.6s
[CV] c1=0.003048258427769184, c2=0.021229417597779715 ................
[CV]  c1=0.003048258427769184, c2=0.021229417597779715, score=0.825754 -   1.1s
[CV] c1=0.06474398057994372, c2=0.16439065815818246 ..................
[CV]  c1=0.06474398057994372, c2=0.16439065815818246, score=0.851065 -   1.5s
[CV] c1=0.2900393234231441, c2=0.0694227997442133 ....................
[CV]  c1=0.2900393234231441, c2=0.0694227997442133, score=0.803263 -   1.3s
[CV] c1=0.9029974484239435, c2=0.02121264683333075 ...................
[CV]  c1=0.9029974484239435, c2=0.02121264683333075, score=0.743445 -   1.6s
[CV] c1=0.510788004436526, c2=0.05062106865565308 ....................
[CV]  c1=0.510788004436526, c2=0.05062106865565308, score=0.718449 -   1.4s
[CV] c1=0.1723449402029267, c2=0.05531044488421225 ...................
[CV]  c1=0.1723449402029267, c2=0.05531044488421225, score=0.859573 -   1.4s
[CV] c1=0.4359820237768474, c2=0.019640473809677976 ..................
[CV]  c1=0.4359820237768474, c2=0.019640473809677976, score=0.800363 -   1.2s
[CV] c1=0.7107223690750704, c2=0.00936489383246576 ...................
[CV]  c1=0.7107223690750704, c2=0.00936489383246576, score=0.882323 -   1.5s
[CV] c1=0.42652735778275347, c2=0.03090487206886787 ..................
[CV]  c1=0.42652735778275347, c2=0.03090487206886787, score=0.829082 -   1.8s
[CV] c1=0.6691856975787388, c2=0.05532754888449241 ...................
[CV]  c1=0.6691856975787388, c2=0.05532754888449241, score=0.836529 -   1.6s
[CV] c1=0.4095851789297998, c2=0.038171705249193305 ..................
[CV]  c1=0.4095851789297998, c2=0.038171705249193305, score=0.902238 -   1.6s
[CV] c1=0.007378010287255391, c2=0.004742206391253202 ................
[CV]  c1=0.007378010287255391, c2=0.004742206391253202, score=0.844555 -   1.3s
[CV] c1=0.44351975696171764, c2=0.03747150515715909 ..................
[CV]  c1=0.44351975696171764, c2=0.03747150515715909, score=0.903621 -   1.6s
[CV] c1=0.003048258427769184, c2=0.021229417597779715 ................
[CV]  c1=0.003048258427769184, c2=0.021229417597779715, score=0.836221 -   1.1s
[CV] c1=0.660071523089771, c2=0.1972461758907003 .....................
[CV]  c1=0.660071523089771, c2=0.1972461758907003, score=0.697405 -   1.2s
[CV] c1=1.049218390084249, c2=0.004947423747346979 ...................
[CV]  c1=1.049218390084249, c2=0.004947423747346979, score=0.767739 -   1.6s
[CV] c1=0.5869368690331094, c2=0.04706407022187178 ...................
[CV]  c1=0.5869368690331094, c2=0.04706407022187178, score=0.821824 -   1.4s
[CV] c1=0.01936035939080093, c2=0.04405780361516607 ..................
[CV]  c1=0.01936035939080093, c2=0.04405780361516607, score=0.825747 -   1.1s
[CV] c1=0.3170216654741829, c2=0.01046037574159093 ...................
[CV]  c1=0.3170216654741829, c2=0.01046037574159093, score=0.829185 -   1.7s
[CV] c1=0.4359820237768474, c2=0.019640473809677976 ..................
[CV]  c1=0.4359820237768474, c2=0.019640473809677976, score=0.862800 -   1.6s
[CV] c1=0.4761640998155952, c2=0.04914532575343689 ...................
[CV]  c1=0.4761640998155952, c2=0.04914532575343689, score=0.725951 -   1.5s
[CV] c1=0.16979688510423993, c2=0.04781254198999802 ..................
[CV]  c1=0.16979688510423993, c2=0.04781254198999802, score=0.793635 -   1.7s
[CV] c1=0.7146903449275559, c2=0.049568429620237386 ..................
[CV]  c1=0.7146903449275559, c2=0.049568429620237386, score=0.744855 -   1.3s
[CV] c1=0.4095851789297998, c2=0.038171705249193305 ..................
[CV]  c1=0.4095851789297998, c2=0.038171705249193305, score=0.835631 -   1.6s
[CV] c1=0.7331320219474328, c2=0.027572731792704364 ..................
[CV]  c1=0.7331320219474328, c2=0.027572731792704364, score=0.758549 -   1.2s
[CV] c1=0.16858213415961223, c2=0.04113326419181017 ..................
[CV]  c1=0.16858213415961223, c2=0.04113326419181017, score=0.840926 -   1.6s
[CV] c1=0.6120293841064556, c2=0.015394657112149336 ..................
[CV]  c1=0.6120293841064556, c2=0.015394657112149336, score=0.728863 -   1.0s
[CV] c1=0.05711937070867948, c2=0.013052825165816545 .................
[CV]  c1=0.05711937070867948, c2=0.013052825165816545, score=0.791400 -   1.1s
[CV] c1=0.855934878135884, c2=0.11145871321894155 ....................
[CV]  c1=0.855934878135884, c2=0.11145871321894155, score=0.786128 -   1.4s
[CV] c1=1.3288922545042134, c2=0.034469554891793326 ..................
[CV]  c1=1.3288922545042134, c2=0.034469554891793326, score=0.725577 -   1.4s
[CV] c1=0.23526531391421365, c2=0.014209781170597497 .................
[CV]  c1=0.23526531391421365, c2=0.014209781170597497, score=0.861876 -   1.9s
[CV] c1=0.7014077813926546, c2=0.004039700351220156 ..................
[CV]  c1=0.7014077813926546, c2=0.004039700351220156, score=0.843068 -   1.7s
[CV] c1=0.35995985547176484, c2=0.0269366957001545 ...................
[CV]  c1=0.35995985547176484, c2=0.0269366957001545, score=0.805388 -   1.3s
[CV] c1=0.09723432837818818, c2=0.03875365734699727 ..................
[CV]  c1=0.09723432837818818, c2=0.03875365734699727, score=0.793675 -   1.6s
[CV] c1=0.42652735778275347, c2=0.03090487206886787 ..................
[CV]  c1=0.42652735778275347, c2=0.03090487206886787, score=0.851070 -   1.5s
[CV] c1=0.2785069301511475, c2=0.06312468010621632 ...................
[CV]  c1=0.2785069301511475, c2=0.06312468010621632, score=0.853325 -   1.6s
[CV] c1=0.45112821261702396, c2=0.06481152079283765 ..................
[CV]  c1=0.45112821261702396, c2=0.06481152079283765, score=0.853981 -   1.7s
[CV] c1=0.08592962825061623, c2=0.05012135820011222 ..................
[CV]  c1=0.08592962825061623, c2=0.05012135820011222, score=0.890545 -   1.5s
[CV] c1=0.16858213415961223, c2=0.04113326419181017 ..................
[CV]  c1=0.16858213415961223, c2=0.04113326419181017, score=0.799987 -   1.3s
[CV] c1=0.10001977035183252, c2=0.014717681452479781 .................
[CV]  c1=0.10001977035183252, c2=0.014717681452479781, score=0.794727 -   1.4s
[CV] c1=0.00444682791069022, c2=0.007411715883721967 .................
[CV]  c1=0.00444682791069022, c2=0.007411715883721967, score=0.804983 -   1.2s
[CV] c1=0.855934878135884, c2=0.11145871321894155 ....................
[CV]  c1=0.855934878135884, c2=0.11145871321894155, score=0.670063 -   1.6s
[CV] c1=0.1697721903811023, c2=0.10746934675314786 ...................
[CV]  c1=0.1697721903811023, c2=0.10746934675314786, score=0.814717 -   1.3s
[CV] c1=0.025888784619198895, c2=0.02536934617887517 .................
[CV]  c1=0.025888784619198895, c2=0.02536934617887517, score=0.830499 -   1.3s
[CV] c1=0.07725327369153852, c2=0.021524061892896733 .................
[CV]  c1=0.07725327369153852, c2=0.021524061892896733, score=0.799708 -   1.5s
[CV] c1=0.656788515777649, c2=0.04017420583361697 ....................
[CV]  c1=0.656788515777649, c2=0.04017420583361697, score=0.879936 -   1.6s
[CV] c1=0.09723432837818818, c2=0.03875365734699727 ..................
[CV]  c1=0.09723432837818818, c2=0.03875365734699727, score=0.887902 -   1.6s
[CV] c1=0.42652735778275347, c2=0.03090487206886787 ..................
[CV]  c1=0.42652735778275347, c2=0.03090487206886787, score=0.752725 -   1.8s
[CV] c1=0.6691856975787388, c2=0.05532754888449241 ...................
[CV]  c1=0.6691856975787388, c2=0.05532754888449241, score=0.756998 -   1.3s
[CV] c1=0.45112821261702396, c2=0.06481152079283765 ..................
[CV]  c1=0.45112821261702396, c2=0.06481152079283765, score=0.845561 -   1.5s
[CV] c1=0.8614702078839122, c2=0.08302775454851075 ...................
[CV]  c1=0.8614702078839122, c2=0.08302775454851075, score=0.675559 -   1.7s
[CV] c1=0.16858213415961223, c2=0.04113326419181017 ..................
[CV]  c1=0.16858213415961223, c2=0.04113326419181017, score=0.880562 -   1.5s
[CV] c1=0.10001977035183252, c2=0.014717681452479781 .................
[CV]  c1=0.10001977035183252, c2=0.014717681452479781, score=0.841377 -   1.3s
[CV] c1=0.00444682791069022, c2=0.007411715883721967 .................
[CV]  c1=0.00444682791069022, c2=0.007411715883721967, score=0.786955 -   1.4s
[CV] c1=0.570882132682692, c2=0.1351689926671496 .....................
[CV]  c1=0.570882132682692, c2=0.1351689926671496, score=0.879247 -   1.5s
[CV] c1=0.9029974484239435, c2=0.02121264683333075 ...................
[CV]  c1=0.9029974484239435, c2=0.02121264683333075, score=0.871961 -   1.6s
[CV] c1=0.14164617171811109, c2=0.04997699036453621 ..................
[CV]  c1=0.14164617171811109, c2=0.04997699036453621, score=0.857318 -   1.8s
[CV] c1=1.4966627275580957, c2=0.035024296023260196 ..................
[CV]  c1=1.4966627275580957, c2=0.035024296023260196, score=0.858983 -   1.6s
[CV] c1=0.09005738502607721, c2=0.055081171193031846 .................
[CV]  c1=0.09005738502607721, c2=0.055081171193031846, score=0.858939 -   1.5s
[CV] c1=0.33185795252234673, c2=0.03444237379899675 ..................
[CV]  c1=0.33185795252234673, c2=0.03444237379899675, score=0.805181 -   1.3s
[CV] c1=0.16979688510423993, c2=0.04781254198999802 ..................
[CV]  c1=0.16979688510423993, c2=0.04781254198999802, score=0.806082 -   1.4s
[CV] c1=0.03536747444049399, c2=0.052187108485254756 .................
[CV]  c1=0.03536747444049399, c2=0.052187108485254756, score=0.824945 -   1.3s
[CV] c1=0.17224512398006186, c2=0.02902754488826792 ..................
[CV]  c1=0.17224512398006186, c2=0.02902754488826792, score=0.797146 -   1.3s
[CV] c1=0.038565896742445274, c2=0.0066487670401834805 ...............
[CV]  c1=0.038565896742445274, c2=0.0066487670401834805, score=0.834592 -   1.7s
[CV] c1=0.44351975696171764, c2=0.03747150515715909 ..................
[CV]  c1=0.44351975696171764, c2=0.03747150515715909, score=0.843169 -   1.5s
[CV] c1=0.10001977035183252, c2=0.014717681452479781 .................
[CV]  c1=0.10001977035183252, c2=0.014717681452479781, score=0.854093 -   1.3s
[CV] c1=0.37148163855418465, c2=0.03594465103275947 ..................
[CV]  c1=0.37148163855418465, c2=0.03594465103275947, score=0.754473 -   1.8s
[CV] c1=0.1406336408482676, c2=0.018633292684277807 ..................
[CV]  c1=0.1406336408482676, c2=0.018633292684277807, score=0.841254 -   1.6s
[CV] c1=0.025888784619198895, c2=0.02536934617887517 .................
[CV]  c1=0.025888784619198895, c2=0.02536934617887517, score=0.807056 -   1.6s
[CV] c1=0.7014077813926546, c2=0.004039700351220156 ..................
[CV]  c1=0.7014077813926546, c2=0.004039700351220156, score=0.722084 -   1.6s
[CV] c1=0.656788515777649, c2=0.04017420583361697 ....................
[CV]  c1=0.656788515777649, c2=0.04017420583361697, score=0.797211 -   1.6s
[CV] c1=0.09723432837818818, c2=0.03875365734699727 ..................
[CV]  c1=0.09723432837818818, c2=0.03875365734699727, score=0.841377 -   1.6s
[CV] c1=1.0995858115089423, c2=0.0769816618844063 ....................
[CV]  c1=1.0995858115089423, c2=0.0769816618844063, score=0.641343 -   1.6s
[CV] c1=0.6691856975787388, c2=0.05532754888449241 ...................
[CV]  c1=0.6691856975787388, c2=0.05532754888449241, score=0.697519 -   1.6s
[CV] c1=0.17224512398006186, c2=0.02902754488826792 ..................
[CV]  c1=0.17224512398006186, c2=0.02902754488826792, score=0.857318 -   1.5s
[CV] c1=0.08592962825061623, c2=0.05012135820011222 ..................
[CV]  c1=0.08592962825061623, c2=0.05012135820011222, score=0.858939 -   1.5s
[CV] c1=0.16858213415961223, c2=0.04113326419181017 ..................
[CV]  c1=0.16858213415961223, c2=0.04113326419181017, score=0.861804 -   1.5s
[CV] c1=0.003048258427769184, c2=0.021229417597779715 ................
[CV]  c1=0.003048258427769184, c2=0.021229417597779715, score=0.795522 -   1.2s
[CV] c1=0.00444682791069022, c2=0.007411715883721967 .................
[CV]  c1=0.00444682791069022, c2=0.007411715883721967, score=0.846752 -   1.3s
[CV] c1=0.855934878135884, c2=0.11145871321894155 ....................
[CV]  c1=0.855934878135884, c2=0.11145871321894155, score=0.631140 -   1.6s
[CV] c1=0.1697721903811023, c2=0.10746934675314786 ...................
[CV]  c1=0.1697721903811023, c2=0.10746934675314786, score=0.787617 -   1.6s
[CV] c1=0.07250664451564304, c2=0.0006854036772409662 ................
[CV]  c1=0.07250664451564304, c2=0.0006854036772409662, score=0.798917 -   1.7s
[CV] c1=0.1723449402029267, c2=0.05531044488421225 ...................
[CV]  c1=0.1723449402029267, c2=0.05531044488421225, score=0.787617 -   1.6s
[CV] c1=0.8317438719654041, c2=0.10801562855196103 ...................
[CV]  c1=0.8317438719654041, c2=0.10801562855196103, score=0.723460 -   1.2s
[CV] c1=0.7107223690750704, c2=0.00936489383246576 ...................
[CV]  c1=0.7107223690750704, c2=0.00936489383246576, score=0.720898 -   1.7s
[CV] c1=1.0995858115089423, c2=0.0769816618844063 ....................
[CV]  c1=1.0995858115089423, c2=0.0769816618844063, score=0.718606 -   1.7s
[CV] c1=0.0022722118303813675, c2=0.03351477261740443 ................
[CV]  c1=0.0022722118303813675, c2=0.03351477261740443, score=0.883003 -   1.5s
[CV] c1=0.3507196206655005, c2=0.29861534738038803 ...................
[CV]  c1=0.3507196206655005, c2=0.29861534738038803, score=0.757099 -   1.3s
[CV] c1=0.08592962825061623, c2=0.05012135820011222 ..................
[CV]  c1=0.08592962825061623, c2=0.05012135820011222, score=0.846395 -   1.6s
[CV] c1=0.8821494671699412, c2=0.03914848250186426 ...................
[CV]  c1=0.8821494671699412, c2=0.03914848250186426, score=0.722981 -   1.2s
[CV] c1=0.003048258427769184, c2=0.021229417597779715 ................
[CV]  c1=0.003048258427769184, c2=0.021229417597779715, score=0.882738 -   1.3s
[CV] c1=0.5881090428732516, c2=0.03678960779835911 ...................
[CV]  c1=0.5881090428732516, c2=0.03678960779835911, score=0.885128 -   1.5s
[CV] c1=1.049218390084249, c2=0.004947423747346979 ...................
[CV]  c1=1.049218390084249, c2=0.004947423747346979, score=0.875592 -   1.5s
[CV] c1=0.6745773013653575, c2=0.053069254572634665 ..................
[CV]  c1=0.6745773013653575, c2=0.053069254572634665, score=0.875750 -   1.6s
[CV] c1=0.510788004436526, c2=0.05062106865565308 ....................
[CV]  c1=0.510788004436526, c2=0.05062106865565308, score=0.827682 -   1.6s
[CV] c1=0.07089207297338677, c2=0.011908252552254769 .................
[CV]  c1=0.07089207297338677, c2=0.011908252552254769, score=0.840803 -   1.6s
[CV] c1=0.09005738502607721, c2=0.055081171193031846 .................
[CV]  c1=0.09005738502607721, c2=0.055081171193031846, score=0.820376 -   1.3s
[CV] c1=0.4350537138900594, c2=0.013638808298569142 ..................
[CV]  c1=0.4350537138900594, c2=0.013638808298569142, score=0.898543 -   1.7s
[CV] c1=0.16979688510423993, c2=0.04781254198999802 ..................
[CV]  c1=0.16979688510423993, c2=0.04781254198999802, score=0.859573 -   1.4s
[CV] c1=0.03536747444049399, c2=0.052187108485254756 .................
[CV]  c1=0.03536747444049399, c2=0.052187108485254756, score=0.800914 -   1.6s
[CV] c1=0.4095851789297998, c2=0.038171705249193305 ..................
[CV]  c1=0.4095851789297998, c2=0.038171705249193305, score=0.859573 -   1.6s
[CV] c1=0.007378010287255391, c2=0.004742206391253202 ................
[CV]  c1=0.007378010287255391, c2=0.004742206391253202, score=0.859012 -   1.4s
[CV] c1=0.8821494671699412, c2=0.03914848250186426 ...................
[CV]  c1=0.8821494671699412, c2=0.03914848250186426, score=0.882366 -   1.6s
[CV] c1=0.6120293841064556, c2=0.015394657112149336 ..................
[CV]  c1=0.6120293841064556, c2=0.015394657112149336, score=0.828211 -   1.1s
[CV] c1=0.37148163855418465, c2=0.03594465103275947 ..................
[CV]  c1=0.37148163855418465, c2=0.03594465103275947, score=0.867969 -   1.7s
[CV] c1=0.1406336408482676, c2=0.018633292684277807 ..................
[CV]  c1=0.1406336408482676, c2=0.018633292684277807, score=0.856161 -   1.4s
[CV] c1=0.23526531391421365, c2=0.014209781170597497 .................
[CV]  c1=0.23526531391421365, c2=0.014209781170597497, score=0.774528 -   1.6s
[CV] c1=0.07725327369153852, c2=0.021524061892896733 .................
[CV]  c1=0.07725327369153852, c2=0.021524061892896733, score=0.856148 -   1.5s
[CV] c1=1.3650279662442628, c2=0.007841679113328087 ..................
[CV]  c1=1.3650279662442628, c2=0.007841679113328087, score=0.684793 -   1.7s
[CV] c1=0.09723432837818818, c2=0.03875365734699727 ..................
[CV]  c1=0.09723432837818818, c2=0.03875365734699727, score=0.859573 -   1.6s
[CV] c1=1.0995858115089423, c2=0.0769816618844063 ....................
[CV]  c1=1.0995858115089423, c2=0.0769816618844063, score=0.861038 -   1.6s
[CV] c1=0.2785069301511475, c2=0.06312468010621632 ...................
[CV]  c1=0.2785069301511475, c2=0.06312468010621632, score=0.833039 -   1.6s
[CV] c1=0.17224512398006186, c2=0.02902754488826792 ..................
[CV]  c1=0.17224512398006186, c2=0.02902754488826792, score=0.790703 -   1.7s
[CV] c1=0.007378010287255391, c2=0.004742206391253202 ................
[CV]  c1=0.007378010287255391, c2=0.004742206391253202, score=0.878211 -   1.6s
[CV] c1=0.8821494671699412, c2=0.03914848250186426 ...................
[CV]  c1=0.8821494671699412, c2=0.03914848250186426, score=0.811749 -   1.6s
[CV] c1=1.7546469725417386, c2=0.015840576861128945 ..................
[CV]  c1=1.7546469725417386, c2=0.015840576861128945, score=0.685347 -   0.9s
[CV] c1=0.5881090428732516, c2=0.03678960779835911 ...................
[CV]  c1=0.5881090428732516, c2=0.03678960779835911, score=0.888972 -   1.4s
[CV] c1=0.570882132682692, c2=0.1351689926671496 .....................
[CV]  c1=0.570882132682692, c2=0.1351689926671496, score=0.716065 -   1.2s
[CV] c1=1.3288922545042134, c2=0.034469554891793326 ..................
[CV]  c1=1.3288922545042134, c2=0.034469554891793326, score=0.741332 -   1.6s
[CV] c1=0.025888784619198895, c2=0.02536934617887517 .................
[CV]  c1=0.025888784619198895, c2=0.02536934617887517, score=0.863073 -   1.6s
[CV] c1=0.7014077813926546, c2=0.004039700351220156 ..................
[CV]  c1=0.7014077813926546, c2=0.004039700351220156, score=0.823401 -   1.7s
[CV] c1=0.35995985547176484, c2=0.0269366957001545 ...................
[CV]  c1=0.35995985547176484, c2=0.0269366957001545, score=0.761515 -   1.7s
[CV] c1=0.4761640998155952, c2=0.04914532575343689 ...................
[CV]  c1=0.4761640998155952, c2=0.04914532575343689, score=0.807432 -   1.4s
[CV] c1=0.7126624068406737, c2=0.027517675216687423 ..................
[CV]  c1=0.7126624068406737, c2=0.027517675216687423, score=0.884202 -   1.5s
[CV] c1=0.03536747444049399, c2=0.052187108485254756 .................
[CV]  c1=0.03536747444049399, c2=0.052187108485254756, score=0.878193 -   1.5s
[CV] c1=0.17224512398006186, c2=0.02902754488826792 ..................
[CV]  c1=0.17224512398006186, c2=0.02902754488826792, score=0.840803 -   1.6s
[CV] c1=0.007378010287255391, c2=0.004742206391253202 ................
[CV]  c1=0.007378010287255391, c2=0.004742206391253202, score=0.825682 -   1.6s
[CV] c1=0.3596656344885462, c2=0.020798147571764843 ..................
[CV]  c1=0.3596656344885462, c2=0.020798147571764843, score=0.817294 -   1.3s
[CV] c1=0.6120293841064556, c2=0.015394657112149336 ..................
[CV]  c1=0.6120293841064556, c2=0.015394657112149336, score=0.893670 -   1.2s
[CV] c1=1.2684060115599922, c2=0.04106935897673147 ...................
[CV]  c1=1.2684060115599922, c2=0.04106935897673147, score=0.637341 -   1.7s
[CV] c1=0.2900393234231441, c2=0.0694227997442133 ....................
[CV]  c1=0.2900393234231441, c2=0.0694227997442133, score=0.859573 -   1.5s
[CV] c1=0.5869368690331094, c2=0.04706407022187178 ...................
[CV]  c1=0.5869368690331094, c2=0.04706407022187178, score=0.880233 -   1.6s
[CV] c1=0.0057102365616473185, c2=0.017584096266275145 ...............
[CV]  c1=0.0057102365616473185, c2=0.017584096266275145, score=0.826850 -   1.2s
[CV] c1=1.4966627275580957, c2=0.035024296023260196 ..................
[CV]  c1=1.4966627275580957, c2=0.035024296023260196, score=0.695916 -   1.2s
[CV] c1=0.4359820237768474, c2=0.019640473809677976 ..................
[CV]  c1=0.4359820237768474, c2=0.019640473809677976, score=0.762289 -   1.5s
[CV] c1=0.4350537138900594, c2=0.013638808298569142 ..................
[CV]  c1=0.4350537138900594, c2=0.013638808298569142, score=0.741506 -   1.6s
[CV] c1=0.7126624068406737, c2=0.027517675216687423 ..................
[CV]  c1=0.7126624068406737, c2=0.027517675216687423, score=0.837174 -   1.6s
[CV] c1=0.0022722118303813675, c2=0.03351477261740443 ................
[CV]  c1=0.0022722118303813675, c2=0.03351477261740443, score=0.824631 -   1.6s
[CV] c1=0.8257400150281647, c2=0.023273783537989944 ..................
[CV]  c1=0.8257400150281647, c2=0.023273783537989944, score=0.697519 -   1.6s
[CV] c1=0.1706908544734029, c2=0.0253022216402211 ....................
[CV]  c1=0.1706908544734029, c2=0.0253022216402211, score=0.903352 -   1.5s
[CV] c1=0.4980883094666762, c2=0.13914859670470886 ...................
[CV]  c1=0.4980883094666762, c2=0.13914859670470886, score=0.775969 -   1.3s
[CV] c1=1.7546469725417386, c2=0.015840576861128945 ..................
[CV]  c1=1.7546469725417386, c2=0.015840576861128945, score=0.735971 -   1.0s
[CV] c1=1.2684060115599922, c2=0.04106935897673147 ...................
[CV]  c1=1.2684060115599922, c2=0.04106935897673147, score=0.865320 -   1.5s
[CV] c1=1.049218390084249, c2=0.004947423747346979 ...................
[CV]  c1=1.049218390084249, c2=0.004947423747346979, score=0.695931 -   1.4s
[CV] c1=0.9029974484239435, c2=0.02121264683333075 ...................
[CV]  c1=0.9029974484239435, c2=0.02121264683333075, score=0.723527 -   1.3s
[CV] c1=0.07250664451564304, c2=0.0006854036772409662 ................
[CV]  c1=0.07250664451564304, c2=0.0006854036772409662, score=0.812838 -   1.3s
[CV] c1=0.7014077813926546, c2=0.004039700351220156 ..................
[CV]  c1=0.7014077813926546, c2=0.004039700351220156, score=0.760771 -   1.3s
[CV] c1=0.1816441030518201, c2=0.053079560179868514 ..................
[CV]  c1=0.1816441030518201, c2=0.053079560179868514, score=0.873445 -   1.6s
[CV] c1=0.5534270199254804, c2=0.06919459202483941 ...................
[CV]  c1=0.5534270199254804, c2=0.06919459202483941, score=0.803070 -   1.5s
[CV] c1=0.2972782870874812, c2=0.05345202647455327 ...................
[CV]  c1=0.2972782870874812, c2=0.05345202647455327, score=0.770845 -   1.8s
[CV] c1=0.2785069301511475, c2=0.06312468010621632 ...................
[CV]  c1=0.2785069301511475, c2=0.06312468010621632, score=0.780971 -   1.5s
[CV] c1=0.45112821261702396, c2=0.06481152079283765 ..................
[CV]  c1=0.45112821261702396, c2=0.06481152079283765, score=0.755251 -   1.6s
[CV] c1=0.8614702078839122, c2=0.08302775454851075 ...................
[CV]  c1=0.8614702078839122, c2=0.08302775454851075, score=0.775984 -   1.6s
[CV] c1=0.16858213415961223, c2=0.04113326419181017 ..................
[CV]  c1=0.16858213415961223, c2=0.04113326419181017, score=0.788968 -   1.6s
[CV] c1=0.003048258427769184, c2=0.021229417597779715 ................
[CV]  c1=0.003048258427769184, c2=0.021229417597779715, score=0.784808 -   1.3s
[CV] c1=0.22000564486228752, c2=0.05849374323432353 ..................
[CV]  c1=0.22000564486228752, c2=0.05849374323432353, score=0.791300 -   1.6s
[CV] c1=0.06917484486900607, c2=0.019754393869199652 .................
[CV]  c1=0.06917484486900607, c2=0.019754393869199652, score=0.791076 -   1.2s
[CV] c1=0.6745773013653575, c2=0.053069254572634665 ..................
[CV]  c1=0.6745773013653575, c2=0.053069254572634665, score=0.845693 -   1.6s
[CV] c1=0.01936035939080093, c2=0.04405780361516607 ..................
[CV]  c1=0.01936035939080093, c2=0.04405780361516607, score=0.821138 -   1.5s
[CV] c1=1.4966627275580957, c2=0.035024296023260196 ..................
[CV]  c1=1.4966627275580957, c2=0.035024296023260196, score=0.738958 -   1.5s
[CV] c1=0.09005738502607721, c2=0.055081171193031846 .................
[CV]  c1=0.09005738502607721, c2=0.055081171193031846, score=0.793675 -   1.6s
[CV] c1=0.33185795252234673, c2=0.03444237379899675 ..................
[CV]  c1=0.33185795252234673, c2=0.03444237379899675, score=0.833039 -   1.6s
[CV] c1=0.08545815335459342, c2=0.03020717737485409 ..................
[CV]  c1=0.08545815335459342, c2=0.03020717737485409, score=0.845099 -   1.2s
[CV] c1=0.0022722118303813675, c2=0.03351477261740443 ................
[CV]  c1=0.0022722118303813675, c2=0.03351477261740443, score=0.818706 -   1.5s
[CV] c1=0.3507196206655005, c2=0.29861534738038803 ...................
[CV]  c1=0.3507196206655005, c2=0.29861534738038803, score=0.836938 -   1.6s
[CV] c1=0.32440690974370245, c2=0.023013050431471463 .................
[CV]  c1=0.32440690974370245, c2=0.023013050431471463, score=0.857318 -   1.2s
[CV] c1=0.3596656344885462, c2=0.020798147571764843 ..................
[CV]  c1=0.3596656344885462, c2=0.020798147571764843, score=0.908403 -   1.5s
[CV] c1=1.7546469725417386, c2=0.015840576861128945 ..................
[CV]  c1=1.7546469725417386, c2=0.015840576861128945, score=0.830698 -   1.2s
[CV] c1=0.22000564486228752, c2=0.05849374323432353 ..................
[CV]  c1=0.22000564486228752, c2=0.05849374323432353, score=0.805921 -   1.3s
[CV] c1=1.049218390084249, c2=0.004947423747346979 ...................
[CV]  c1=1.049218390084249, c2=0.004947423747346979, score=0.654164 -   1.6s
[CV] c1=0.6745773013653575, c2=0.053069254572634665 ..................
[CV]  c1=0.6745773013653575, c2=0.053069254572634665, score=0.801316 -   1.5s
[CV] c1=0.510788004436526, c2=0.05062106865565308 ....................
[CV]  c1=0.510788004436526, c2=0.05062106865565308, score=0.843581 -   1.6s
[CV] c1=1.4966627275580957, c2=0.035024296023260196 ..................
[CV]  c1=1.4966627275580957, c2=0.035024296023260196, score=0.619809 -   1.6s
[CV] c1=0.42390115368487247, c2=0.05519447545440323 ..................
[CV]  c1=0.42390115368487247, c2=0.05519447545440323, score=0.796668 -   1.6s
[CV] c1=0.6843579878295039, c2=0.00366547992128914 ...................
[CV]  c1=0.6843579878295039, c2=0.00366547992128914, score=0.714386 -   1.6s
[CV] c1=0.08545815335459342, c2=0.03020717737485409 ..................
[CV]  c1=0.08545815335459342, c2=0.03020717737485409, score=0.864230 -   1.5s
[CV] c1=0.1976467511466546, c2=0.020853670262011313 ..................
[CV]  c1=0.1976467511466546, c2=0.020853670262011313, score=0.800969 -   1.3s
[CV] c1=0.8257400150281647, c2=0.023273783537989944 ..................
[CV]  c1=0.8257400150281647, c2=0.023273783537989944, score=0.875526 -   1.5s
[CV] c1=0.32440690974370245, c2=0.023013050431471463 .................
[CV]  c1=0.32440690974370245, c2=0.023013050431471463, score=0.804312 -   1.2s
[CV] c1=0.8821494671699412, c2=0.03914848250186426 ...................
[CV]  c1=0.8821494671699412, c2=0.03914848250186426, score=0.692831 -   1.6s
[CV] c1=0.6120293841064556, c2=0.015394657112149336 ..................
[CV]  c1=0.6120293841064556, c2=0.015394657112149336, score=0.877320 -   1.2s
[CV] c1=0.22000564486228752, c2=0.05849374323432353 ..................
[CV]  c1=0.22000564486228752, c2=0.05849374323432353, score=0.912034 -   1.6s
[CV] c1=0.00409443049548168, c2=0.03418175411871737 ..................
[CV]  c1=0.00409443049548168, c2=0.03418175411871737, score=0.821138 -   1.6s
[CV] c1=0.02392463674180274, c2=0.047434260326878086 .................
[CV]  c1=0.02392463674180274, c2=0.047434260326878086, score=0.822758 -   1.6s
[CV] c1=0.32685735790037695, c2=0.01613561918928854 ..................
[CV]  c1=0.32685735790037695, c2=0.01613561918928854, score=0.770170 -   1.6s
[CV] c1=1.3650279662442628, c2=0.007841679113328087 ..................
[CV]  c1=1.3650279662442628, c2=0.007841679113328087, score=0.707976 -   1.2s
[CV] c1=0.09802523227404089, c2=0.05512422915284716 ..................
[CV]  c1=0.09802523227404089, c2=0.05512422915284716, score=0.885341 -   1.6s
[CV] c1=0.07146666810751746, c2=0.06544517387666186 ..................
[CV]  c1=0.07146666810751746, c2=0.06544517387666186, score=0.883272 -   1.6s
[CV] c1=1.4734542827638926, c2=0.026371307464365626 ..................
[CV]  c1=1.4734542827638926, c2=0.026371307464365626, score=0.700689 -   1.3s
[CV] c1=0.7146903449275559, c2=0.049568429620237386 ..................
[CV]  c1=0.7146903449275559, c2=0.049568429620237386, score=0.849081 -   1.6s
[CV] c1=0.07369452698255691, c2=0.14459729983288788 ..................
[CV]  c1=0.07369452698255691, c2=0.14459729983288788, score=0.754817 -   1.2s
[CV] c1=0.7331320219474328, c2=0.027572731792704364 ..................
[CV]  c1=0.7331320219474328, c2=0.027572731792704364, score=0.713839 -   1.6s
[CV] c1=0.291206672654717, c2=0.15507786032169688 ....................
[CV]  c1=0.291206672654717, c2=0.15507786032169688, score=0.820910 -   1.2s
[CV] c1=0.6120293841064556, c2=0.015394657112149336 ..................
[CV]  c1=0.6120293841064556, c2=0.015394657112149336, score=0.721758 -   1.3s
[CV] c1=0.00444682791069022, c2=0.007411715883721967 .................
[CV]  c1=0.00444682791069022, c2=0.007411715883721967, score=0.822804 -   1.0s
[CV] c1=0.855934878135884, c2=0.11145871321894155 ....................
[CV]  c1=0.855934878135884, c2=0.11145871321894155, score=0.882404 -   1.8s
[CV] c1=1.3288922545042134, c2=0.034469554891793326 ..................
[CV]  c1=1.3288922545042134, c2=0.034469554891793326, score=0.640426 -   1.7s
[CV] c1=0.07250664451564304, c2=0.0006854036772409662 ................
[CV]  c1=0.07250664451564304, c2=0.0006854036772409662, score=0.863496 -   1.6s
[CV] c1=0.1723449402029267, c2=0.05531044488421225 ...................
[CV]  c1=0.1723449402029267, c2=0.05531044488421225, score=0.889951 -   1.6s
[CV] c1=0.4359820237768474, c2=0.019640473809677976 ..................
[CV]  c1=0.4359820237768474, c2=0.019640473809677976, score=0.832817 -   1.5s
[CV] c1=0.4350537138900594, c2=0.013638808298569142 ..................
[CV]  c1=0.4350537138900594, c2=0.013638808298569142, score=0.903911 -   1.6s
[CV] c1=0.7126624068406737, c2=0.027517675216687423 ..................
[CV]  c1=0.7126624068406737, c2=0.027517675216687423, score=0.766408 -   1.3s
[CV] c1=0.6691856975787388, c2=0.05532754888449241 ...................
[CV]  c1=0.6691856975787388, c2=0.05532754888449241, score=0.882156 -   1.6s
[CV] c1=0.17224512398006186, c2=0.02902754488826792 ..................
[CV]  c1=0.17224512398006186, c2=0.02902754488826792, score=0.880562 -   1.6s
[CV] c1=0.08592962825061623, c2=0.05012135820011222 ..................
[CV]  c1=0.08592962825061623, c2=0.05012135820011222, score=0.799708 -   1.8s
[CV] c1=0.8821494671699412, c2=0.03914848250186426 ...................
[CV]  c1=0.8821494671699412, c2=0.03914848250186426, score=0.732409 -   1.7s
[CV] c1=1.7546469725417386, c2=0.015840576861128945 ..................
[CV]  c1=1.7546469725417386, c2=0.015840576861128945, score=0.577221 -   1.1s
Training done in: 21.940556s
     Saving training model...
        Saving training model done in: 0.013072s
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Prediction done in: 0.035328s