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

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Run4_v11.txt 67.2 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run4
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: FalseS4: False
Run variant: 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: 0.003670s
-------------------------------- 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        word      :
13     isUpper  False
14     isLower  False
15     isGreek  False
16    isNumber  False
17     -1:word     in
18     +1:word     M9
--------------------------- FeaturesTest -----------------------------
             0           1
0        lemma  delta-arca
1       postag          NN
2     -1:lemma           _
3    -1:postag          NN
4     +1:lemma           _
5    +1:postag          CD
6       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10   lemma[:1]           d
11  postag[:1]           N
12   lemma[:2]          de
13  postag[:2]          NN
14        word  delta-arcA
15     isUpper       False
16     isLower       False
17     isGreek       False
18    isNumber       False
19     -1:word           _
20     +1:word           _
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=1.0356986268911696, c2=0.18539422903117275 ...................
[CV]  c1=1.0356986268911696, c2=0.18539422903117275, score=0.736628 -   1.4s
[CV] c1=1.5169705301011542, c2=0.03627434083301859 ...................
[CV]  c1=1.5169705301011542, c2=0.03627434083301859, score=0.553795 -   1.6s
[CV] c1=0.16643831456933392, c2=0.11461482865000193 ..................
[CV]  c1=0.16643831456933392, c2=0.11461482865000193, score=0.784652 -   1.5s
[CV] c1=0.13418082596666567, c2=0.03936774809302657 ..................
[CV]  c1=0.13418082596666567, c2=0.03936774809302657, score=0.817919 -   1.4s
[CV] c1=0.10258848797683388, c2=0.07196935286167695 ..................
[CV]  c1=0.10258848797683388, c2=0.07196935286167695, score=0.778945 -   1.5s
[CV] c1=0.8625845193453798, c2=0.08977828588586959 ...................
[CV]  c1=0.8625845193453798, c2=0.08977828588586959, score=0.640475 -   1.2s
[CV] c1=1.1734361087827856, c2=0.004088168332605826 ..................
[CV]  c1=1.1734361087827856, c2=0.004088168332605826, score=0.815112 -   1.5s
[CV] c1=0.012997711289087097, c2=0.023921705374249338 ................
[CV]  c1=0.012997711289087097, c2=0.023921705374249338, score=0.866799 -   1.6s
[CV] c1=0.577118784315513, c2=0.23678774119479606 ....................
[CV]  c1=0.577118784315513, c2=0.23678774119479606, score=0.655013 -   1.3s
[CV] c1=0.6856838626595704, c2=0.09107735143652325 ...................
[CV]  c1=0.6856838626595704, c2=0.09107735143652325, score=0.676535 -   1.2s
[CV] c1=0.05179216723063261, c2=0.015970756087741646 .................
[CV]  c1=0.05179216723063261, c2=0.015970756087741646, score=0.712013 -   1.2s
[CV] c1=0.4053354864196367, c2=0.0412373940604573 ....................
[CV]  c1=0.4053354864196367, c2=0.0412373940604573, score=0.794513 -   1.6s
[CV] c1=0.1250372189395467, c2=0.008106631479160251 ..................
[CV]  c1=0.1250372189395467, c2=0.008106631479160251, score=0.714574 -   1.2s
[CV] c1=0.34314988174673794, c2=0.0514146290042336 ...................
[CV]  c1=0.34314988174673794, c2=0.0514146290042336, score=0.800591 -   1.6s
[CV] c1=0.5131619394507986, c2=0.09464763711950408 ...................
[CV]  c1=0.5131619394507986, c2=0.09464763711950408, score=0.763320 -   1.4s
[CV] c1=0.06120934708786098, c2=0.07159555948298034 ..................
[CV]  c1=0.06120934708786098, c2=0.07159555948298034, score=0.810402 -   1.6s
[CV] c1=1.520660946790567, c2=0.14629533579243578 ....................
[CV]  c1=1.520660946790567, c2=0.14629533579243578, score=0.683223 -   1.6s
[CV] c1=0.8925668490582348, c2=0.12081787734660779 ...................
[CV]  c1=0.8925668490582348, c2=0.12081787734660779, score=0.681530 -   1.5s
[CV] c1=0.6088093604567822, c2=0.063155503453338 .....................
[CV]  c1=0.6088093604567822, c2=0.063155503453338, score=0.732595 -   1.6s
[CV] c1=0.631250380536868, c2=0.014307664633156726 ...................
[CV]  c1=0.631250380536868, c2=0.014307664633156726, score=0.716614 -   1.2s
[CV] c1=0.30385144308267525, c2=0.054976012583899836 .................
[CV]  c1=0.30385144308267525, c2=0.054976012583899836, score=0.684873 -   1.2s
[CV] c1=0.7784280388109375, c2=0.11450535805042195 ...................
[CV]  c1=0.7784280388109375, c2=0.11450535805042195, score=0.766212 -   1.6s
[CV] c1=1.081207686477318, c2=0.028570811254647895 ...................
[CV]  c1=1.081207686477318, c2=0.028570811254647895, score=0.777102 -   1.5s
[CV] c1=0.4053354864196367, c2=0.0412373940604573 ....................
[CV]  c1=0.4053354864196367, c2=0.0412373940604573, score=0.773509 -   1.7s
[CV] c1=1.0356986268911696, c2=0.18539422903117275 ...................
[CV]  c1=1.0356986268911696, c2=0.18539422903117275, score=0.652405 -   1.6s
[CV] c1=0.9823273121989701, c2=0.05703352022778301 ...................
[CV]  c1=0.9823273121989701, c2=0.05703352022778301, score=0.643204 -   1.6s
[CV] c1=0.013991418995822043, c2=0.015531900249690204 ................
[CV]  c1=0.013991418995822043, c2=0.015531900249690204, score=0.868443 -   1.5s
[CV] c1=0.2852647613650967, c2=0.09477699787061604 ...................
[CV]  c1=0.2852647613650967, c2=0.09477699787061604, score=0.861072 -   1.5s
[CV] c1=0.8514499630715727, c2=0.0027002735979854177 .................
[CV]  c1=0.8514499630715727, c2=0.0027002735979854177, score=0.690660 -   1.2s
[CV] c1=0.011266576934865779, c2=0.08929072464405084 .................
[CV]  c1=0.011266576934865779, c2=0.08929072464405084, score=0.778290 -   1.5s
[CV] c1=1.1734361087827856, c2=0.004088168332605826 ..................
[CV]  c1=1.1734361087827856, c2=0.004088168332605826, score=0.644933 -   1.3s
[CV] c1=0.7023656082915171, c2=0.054433632475242244 ..................
[CV]  c1=0.7023656082915171, c2=0.054433632475242244, score=0.707034 -   1.5s
[CV] c1=0.7488670514795623, c2=0.06055052787960683 ...................
[CV]  c1=0.7488670514795623, c2=0.06055052787960683, score=0.676535 -   1.2s
[CV] c1=0.29098153522093584, c2=0.0070186178887449956 ................
[CV]  c1=0.29098153522093584, c2=0.0070186178887449956, score=0.811243 -   1.6s
[CV] c1=0.05179216723063261, c2=0.015970756087741646 .................
[CV]  c1=0.05179216723063261, c2=0.015970756087741646, score=0.815307 -   1.5s
[CV] c1=0.07173443559173624, c2=0.0896339283731331 ...................
[CV]  c1=0.07173443559173624, c2=0.0896339283731331, score=0.816145 -   1.5s
[CV] c1=1.4965228874666876, c2=0.00982563991055071 ...................
[CV]  c1=1.4965228874666876, c2=0.00982563991055071, score=0.688723 -   1.6s
[CV] c1=0.9823273121989701, c2=0.05703352022778301 ...................
[CV]  c1=0.9823273121989701, c2=0.05703352022778301, score=0.634953 -   1.2s
[CV] c1=0.48716802559317096, c2=0.004863345569183439 .................
[CV]  c1=0.48716802559317096, c2=0.004863345569183439, score=0.811615 -   1.4s
[CV] c1=0.4877953933269321, c2=0.0114997024317934 ....................
[CV]  c1=0.4877953933269321, c2=0.0114997024317934, score=0.814897 -   1.4s
[CV] c1=0.9067443503240884, c2=0.00410147866172495 ...................
[CV]  c1=0.9067443503240884, c2=0.00410147866172495, score=0.714038 -   1.6s
[CV] c1=0.03652036829507321, c2=0.05165435048758889 ..................
[CV]  c1=0.03652036829507321, c2=0.05165435048758889, score=0.778945 -   1.5s
[CV] c1=0.5479695206259677, c2=0.00557708855621377 ...................
[CV]  c1=0.5479695206259677, c2=0.00557708855621377, score=0.720947 -   1.2s
[CV] c1=0.20833039041368698, c2=0.013356256212530794 .................
[CV]  c1=0.20833039041368698, c2=0.013356256212530794, score=0.850600 -   1.5s
[CV] c1=0.30385144308267525, c2=0.054976012583899836 .................
[CV]  c1=0.30385144308267525, c2=0.054976012583899836, score=0.784101 -   1.6s
[CV] c1=0.6690761932370344, c2=0.03405829163804599 ...................
[CV]  c1=0.6690761932370344, c2=0.03405829163804599, score=0.678111 -   1.2s
[CV] c1=1.081207686477318, c2=0.028570811254647895 ...................
[CV]  c1=1.081207686477318, c2=0.028570811254647895, score=0.642089 -   1.6s
[CV] c1=0.5303056501897584, c2=0.1487793715916113 ....................
[CV]  c1=0.5303056501897584, c2=0.1487793715916113, score=0.834460 -   1.5s
[CV] c1=1.0356986268911696, c2=0.18539422903117275 ...................
[CV]  c1=1.0356986268911696, c2=0.18539422903117275, score=0.828541 -   1.5s
[CV] c1=1.5169705301011542, c2=0.03627434083301859 ...................
[CV]  c1=1.5169705301011542, c2=0.03627434083301859, score=0.756565 -   1.5s
[CV] c1=0.029228889011189137, c2=0.03677164008946981 .................
[CV]  c1=0.029228889011189137, c2=0.03677164008946981, score=0.821232 -   1.4s
[CV] c1=0.01594432567741168, c2=0.012122471629859905 .................
[CV]  c1=0.01594432567741168, c2=0.012122471629859905, score=0.816983 -   1.6s
[CV] c1=0.2635707079008367, c2=0.014292235981128668 ..................
[CV]  c1=0.2635707079008367, c2=0.014292235981128668, score=0.835598 -   1.4s
[CV] c1=0.011266576934865779, c2=0.08929072464405084 .................
[CV]  c1=0.011266576934865779, c2=0.08929072464405084, score=0.718999 -   1.2s
[CV] c1=0.01377682046213379, c2=0.004782085182995012 .................
[CV]  c1=0.01377682046213379, c2=0.004782085182995012, score=0.832432 -   1.5s
[CV] c1=0.20833039041368698, c2=0.013356256212530794 .................
[CV]  c1=0.20833039041368698, c2=0.013356256212530794, score=0.821444 -   1.5s
[CV] c1=0.30385144308267525, c2=0.054976012583899836 .................
[CV]  c1=0.30385144308267525, c2=0.054976012583899836, score=0.807511 -   1.4s
[CV] c1=0.6690761932370344, c2=0.03405829163804599 ...................
[CV]  c1=0.6690761932370344, c2=0.03405829163804599, score=0.862527 -   1.4s
[CV] c1=0.38279902618553907, c2=0.012714117672535594 .................
[CV]  c1=0.38279902618553907, c2=0.012714117672535594, score=0.788562 -   1.4s
[CV] c1=0.5303056501897584, c2=0.1487793715916113 ....................
[CV]  c1=0.5303056501897584, c2=0.1487793715916113, score=0.725908 -   1.5s
[CV] c1=0.7815761760751512, c2=0.028445694571766246 ..................
[CV]  c1=0.7815761760751512, c2=0.028445694571766246, score=0.692750 -   1.5s
[CV] c1=1.5241774345556331, c2=0.04779651062661553 ...................
[CV]  c1=1.5241774345556331, c2=0.04779651062661553, score=0.576668 -   1.2s
[CV] c1=1.0164554443672547, c2=0.04972912186378503 ...................
[CV]  c1=1.0164554443672547, c2=0.04972912186378503, score=0.637580 -   1.3s
[CV] c1=0.013991418995822043, c2=0.015531900249690204 ................
[CV]  c1=0.013991418995822043, c2=0.015531900249690204, score=0.822853 -   1.6s
[CV] c1=0.2852647613650967, c2=0.09477699787061604 ...................
[CV]  c1=0.2852647613650967, c2=0.09477699787061604, score=0.803908 -   1.6s
[CV] c1=1.111464359230027, c2=0.010576370645009072 ...................
[CV]  c1=1.111464359230027, c2=0.010576370645009072, score=0.817360 -   1.5s
[CV] c1=0.8003007800583896, c2=0.007944703665525738 ..................
[CV]  c1=0.8003007800583896, c2=0.007944703665525738, score=0.690791 -   1.2s
[CV] c1=0.5833382775884716, c2=0.014312645791008941 ..................
[CV]  c1=0.5833382775884716, c2=0.014312645791008941, score=0.823963 -   1.5s
[CV] c1=0.012997711289087097, c2=0.023921705374249338 ................
[CV]  c1=0.012997711289087097, c2=0.023921705374249338, score=0.784072 -   1.6s
[CV] c1=0.3446953467300803, c2=0.004994407430160709 ..................
[CV]  c1=0.3446953467300803, c2=0.004994407430160709, score=0.815028 -   1.8s
[CV] c1=0.6003701074020492, c2=0.0790825371107937 ....................
[CV]  c1=0.6003701074020492, c2=0.0790825371107937, score=0.676558 -   1.2s
[CV] c1=0.6707553769486142, c2=0.09558291595072649 ...................
[CV]  c1=0.6707553769486142, c2=0.09558291595072649, score=0.654763 -   1.2s
[CV] c1=0.16094662661387904, c2=0.10086163805206064 ..................
[CV]  c1=0.16094662661387904, c2=0.10086163805206064, score=0.799474 -   1.4s
[CV] c1=0.7815761760751512, c2=0.028445694571766246 ..................
[CV]  c1=0.7815761760751512, c2=0.028445694571766246, score=0.697147 -   1.5s
[CV] c1=1.5241774345556331, c2=0.04779651062661553 ...................
[CV]  c1=1.5241774345556331, c2=0.04779651062661553, score=0.621442 -   1.6s
[CV] c1=0.08208443710303363, c2=0.05220535582967828 ..................
[CV]  c1=0.08208443710303363, c2=0.05220535582967828, score=0.719083 -   1.2s
[CV] c1=0.086893510817588, c2=0.022311879098590115 ...................
[CV]  c1=0.086893510817588, c2=0.022311879098590115, score=0.830163 -   1.6s
[CV] c1=1.520660946790567, c2=0.14629533579243578 ....................
[CV]  c1=1.520660946790567, c2=0.14629533579243578, score=0.799056 -   1.5s
[CV] c1=0.7122223874360031, c2=0.013767337992427 .....................
[CV]  c1=0.7122223874360031, c2=0.013767337992427, score=0.781519 -   1.5s
[CV] c1=0.005630734990831444, c2=0.028577686212361078 ................
[CV]  c1=0.005630734990831444, c2=0.028577686212361078, score=0.878120 -   1.5s
[CV] c1=0.21876786819356706, c2=0.008355512101067693 .................
[CV]  c1=0.21876786819356706, c2=0.008355512101067693, score=0.725596 -   1.3s
[CV] c1=0.4491534474969529, c2=0.043242334289829716 ..................
[CV]  c1=0.4491534474969529, c2=0.043242334289829716, score=0.745403 -   1.7s
[CV] c1=0.8460691016833224, c2=0.03239376659961427 ...................
[CV]  c1=0.8460691016833224, c2=0.03239376659961427, score=0.865686 -   1.5s
[CV] c1=1.081207686477318, c2=0.028570811254647895 ...................
[CV]  c1=1.081207686477318, c2=0.028570811254647895, score=0.639460 -   1.6s
[CV] c1=0.5303056501897584, c2=0.1487793715916113 ....................
[CV]  c1=0.5303056501897584, c2=0.1487793715916113, score=0.784626 -   1.4s
[CV] c1=0.6323454716834743, c2=0.08476774458104697 ...................
[CV]  c1=0.6323454716834743, c2=0.08476774458104697, score=0.855775 -   1.5s
[CV] c1=0.1333933917636539, c2=0.005727730662748451 ..................
[CV]  c1=0.1333933917636539, c2=0.005727730662748451, score=0.807656 -   1.6s
[CV] c1=0.029228889011189137, c2=0.03677164008946981 .................
[CV]  c1=0.029228889011189137, c2=0.03677164008946981, score=0.878120 -   1.4s
[CV] c1=0.01594432567741168, c2=0.012122471629859905 .................
[CV]  c1=0.01594432567741168, c2=0.012122471629859905, score=0.731504 -   1.3s
[CV] c1=0.9067443503240884, c2=0.00410147866172495 ...................
[CV]  c1=0.9067443503240884, c2=0.00410147866172495, score=0.688717 -   1.2s
[CV] c1=0.7122223874360031, c2=0.013767337992427 .....................
[CV]  c1=0.7122223874360031, c2=0.013767337992427, score=0.773548 -   1.4s
[CV] c1=0.7441382469752713, c2=0.0040934329174263945 .................
[CV]  c1=0.7441382469752713, c2=0.0040934329174263945, score=0.711037 -   1.7s
[CV] c1=0.21876786819356706, c2=0.008355512101067693 .................
[CV]  c1=0.21876786819356706, c2=0.008355512101067693, score=0.833283 -   1.5s
[CV] c1=0.026978643606810293, c2=0.002662234558274076 ................
[CV]  c1=0.026978643606810293, c2=0.002662234558274076, score=0.806663 -   1.6s
[CV] c1=0.29098153522093584, c2=0.0070186178887449956 ................
[CV]  c1=0.29098153522093584, c2=0.0070186178887449956, score=0.815028 -   1.6s
[CV] c1=0.05179216723063261, c2=0.015970756087741646 .................
[CV]  c1=0.05179216723063261, c2=0.015970756087741646, score=0.875584 -   1.4s
[CV] c1=0.07173443559173624, c2=0.0896339283731331 ...................
[CV]  c1=0.07173443559173624, c2=0.0896339283731331, score=0.884124 -   1.5s
[CV] c1=0.6323454716834743, c2=0.08476774458104697 ...................
[CV]  c1=0.6323454716834743, c2=0.08476774458104697, score=0.781519 -   1.6s
[CV] c1=1.5169705301011542, c2=0.03627434083301859 ...................
[CV]  c1=1.5169705301011542, c2=0.03627434083301859, score=0.603762 -   1.6s
[CV] c1=0.029228889011189137, c2=0.03677164008946981 .................
[CV]  c1=0.029228889011189137, c2=0.03677164008946981, score=0.778945 -   1.6s
[CV] c1=0.13418082596666567, c2=0.03936774809302657 ..................
[CV]  c1=0.13418082596666567, c2=0.03936774809302657, score=0.799384 -   1.5s
[CV] c1=0.10258848797683388, c2=0.07196935286167695 ..................
[CV]  c1=0.10258848797683388, c2=0.07196935286167695, score=0.808851 -   1.5s
[CV] c1=0.07681338241054074, c2=0.08799618871402576 ..................
[CV]  c1=0.07681338241054074, c2=0.08799618871402576, score=0.720406 -   1.2s
[CV] c1=0.5479695206259677, c2=0.00557708855621377 ...................
[CV]  c1=0.5479695206259677, c2=0.00557708855621377, score=0.870044 -   1.5s
[CV] c1=0.631250380536868, c2=0.014307664633156726 ...................
[CV]  c1=0.631250380536868, c2=0.014307664633156726, score=0.861239 -   1.4s
[CV] c1=1.0617553450214, c2=0.03687147490368 .........................
[CV]  c1=1.0617553450214, c2=0.03687147490368, score=0.777169 -   1.5s
[CV] c1=0.6690761932370344, c2=0.03405829163804599 ...................
[CV]  c1=0.6690761932370344, c2=0.03405829163804599, score=0.736691 -   1.6s
[CV] c1=0.05179216723063261, c2=0.015970756087741646 .................
[CV]  c1=0.05179216723063261, c2=0.015970756087741646, score=0.790144 -   1.6s
[CV] c1=0.16094662661387904, c2=0.10086163805206064 ..................
[CV]  c1=0.16094662661387904, c2=0.10086163805206064, score=0.803858 -   1.4s
[CV] c1=0.1250372189395467, c2=0.008106631479160251 ..................
[CV]  c1=0.1250372189395467, c2=0.008106631479160251, score=0.817865 -   1.5s
[CV] c1=0.001366471373335289, c2=0.04676457694769755 .................
[CV]  c1=0.001366471373335289, c2=0.04676457694769755, score=0.843366 -   1.5s
[CV] c1=0.48716802559317096, c2=0.004863345569183439 .................
[CV]  c1=0.48716802559317096, c2=0.004863345569183439, score=0.750623 -   1.6s
[CV] c1=0.01594432567741168, c2=0.012122471629859905 .................
[CV]  c1=0.01594432567741168, c2=0.012122471629859905, score=0.869318 -   1.5s
[CV] c1=0.2635707079008367, c2=0.014292235981128668 ..................
[CV]  c1=0.2635707079008367, c2=0.014292235981128668, score=0.805250 -   1.5s
[CV] c1=0.011266576934865779, c2=0.08929072464405084 .................
[CV]  c1=0.011266576934865779, c2=0.08929072464405084, score=0.825246 -   1.4s
[CV] c1=0.5479695206259677, c2=0.00557708855621377 ...................
[CV]  c1=0.5479695206259677, c2=0.00557708855621377, score=0.795990 -   1.5s
[CV] c1=0.631250380536868, c2=0.014307664633156726 ...................
[CV]  c1=0.631250380536868, c2=0.014307664633156726, score=0.787075 -   1.4s
[CV] c1=0.7488670514795623, c2=0.06055052787960683 ...................
[CV]  c1=0.7488670514795623, c2=0.06055052787960683, score=0.702720 -   1.6s
[CV] c1=0.19686817518614833, c2=0.02291276875629326 ..................
[CV]  c1=0.19686817518614833, c2=0.02291276875629326, score=0.684860 -   1.2s
[CV] c1=0.5030767644540799, c2=0.04816375115198358 ...................
[CV]  c1=0.5030767644540799, c2=0.04816375115198358, score=0.698300 -   1.2s
[CV] c1=0.5303056501897584, c2=0.1487793715916113 ....................
[CV]  c1=0.5303056501897584, c2=0.1487793715916113, score=0.794017 -   1.6s
[CV] c1=1.0356986268911696, c2=0.18539422903117275 ...................
[CV]  c1=1.0356986268911696, c2=0.18539422903117275, score=0.592258 -   1.2s
[CV] c1=0.1333933917636539, c2=0.005727730662748451 ..................
[CV]  c1=0.1333933917636539, c2=0.005727730662748451, score=0.803768 -   1.5s
[CV] c1=0.48716802559317096, c2=0.004863345569183439 .................
[CV]  c1=0.48716802559317096, c2=0.004863345569183439, score=0.837290 -   1.6s
[CV] c1=0.13418082596666567, c2=0.03936774809302657 ..................
[CV]  c1=0.13418082596666567, c2=0.03936774809302657, score=0.882754 -   1.5s
[CV] c1=0.10258848797683388, c2=0.07196935286167695 ..................
[CV]  c1=0.10258848797683388, c2=0.07196935286167695, score=0.877695 -   1.6s
[CV] c1=0.07681338241054074, c2=0.08799618871402576 ..................
[CV]  c1=0.07681338241054074, c2=0.08799618871402576, score=0.812131 -   1.4s
[CV] c1=1.1734361087827856, c2=0.004088168332605826 ..................
[CV]  c1=1.1734361087827856, c2=0.004088168332605826, score=0.639948 -   1.7s
[CV] c1=0.16590783156931938, c2=0.03206909401474936 ..................
[CV]  c1=0.16590783156931938, c2=0.03206909401474936, score=0.678511 -   1.2s
[CV] c1=0.7488670514795623, c2=0.06055052787960683 ...................
[CV]  c1=0.7488670514795623, c2=0.06055052787960683, score=0.773548 -   1.5s
[CV] c1=0.6856838626595704, c2=0.09107735143652325 ...................
[CV]  c1=0.6856838626595704, c2=0.09107735143652325, score=0.855775 -   1.4s
[CV] c1=0.05179216723063261, c2=0.015970756087741646 .................
[CV]  c1=0.05179216723063261, c2=0.015970756087741646, score=0.801940 -   1.5s
[CV] c1=0.07173443559173624, c2=0.0896339283731331 ...................
[CV]  c1=0.07173443559173624, c2=0.0896339283731331, score=0.810402 -   1.4s
[CV] c1=0.1250372189395467, c2=0.008106631479160251 ..................
[CV]  c1=0.1250372189395467, c2=0.008106631479160251, score=0.883729 -   1.4s
[CV] c1=0.001366471373335289, c2=0.04676457694769755 .................
[CV]  c1=0.001366471373335289, c2=0.04676457694769755, score=0.834752 -   1.4s
[CV] c1=0.08208443710303363, c2=0.05220535582967828 ..................
[CV]  c1=0.08208443710303363, c2=0.05220535582967828, score=0.881523 -   1.5s
[CV] c1=0.3687768004276132, c2=0.0005893428985386895 .................
[CV]  c1=0.3687768004276132, c2=0.0005893428985386895, score=0.722476 -   1.3s
[CV] c1=0.265453720060384, c2=0.060085051094849386 ...................
[CV]  c1=0.265453720060384, c2=0.060085051094849386, score=0.806749 -   1.6s
[CV] c1=0.5936969784629992, c2=0.0336528105446181 ....................
[CV]  c1=0.5936969784629992, c2=0.0336528105446181, score=0.717698 -   1.5s
[CV] c1=0.005630734990831444, c2=0.028577686212361078 ................
[CV]  c1=0.005630734990831444, c2=0.028577686212361078, score=0.834061 -   1.5s
[CV] c1=0.21876786819356706, c2=0.008355512101067693 .................
[CV]  c1=0.21876786819356706, c2=0.008355512101067693, score=0.826067 -   1.5s
[CV] c1=0.026978643606810293, c2=0.002662234558274076 ................
[CV]  c1=0.026978643606810293, c2=0.002662234558274076, score=0.806485 -   1.5s
[CV] c1=0.29098153522093584, c2=0.0070186178887449956 ................
[CV]  c1=0.29098153522093584, c2=0.0070186178887449956, score=0.877348 -   1.5s
[CV] c1=0.38279902618553907, c2=0.012714117672535594 .................
[CV]  c1=0.38279902618553907, c2=0.012714117672535594, score=0.787785 -   1.6s
[CV] c1=0.07173443559173624, c2=0.0896339283731331 ...................
[CV]  c1=0.07173443559173624, c2=0.0896339283731331, score=0.725725 -   1.2s
[CV] c1=0.6323454716834743, c2=0.08476774458104697 ...................
[CV]  c1=0.6323454716834743, c2=0.08476774458104697, score=0.673589 -   1.3s
[CV] c1=0.001366471373335289, c2=0.04676457694769755 .................
[CV]  c1=0.001366471373335289, c2=0.04676457694769755, score=0.715058 -   1.2s
[CV] c1=0.01930262562999398, c2=0.01432305778589939 ..................
[CV]  c1=0.01930262562999398, c2=0.01432305778589939, score=0.722615 -   1.2s
[CV] c1=0.013991418995822043, c2=0.015531900249690204 ................
[CV]  c1=0.013991418995822043, c2=0.015531900249690204, score=0.793728 -   1.6s
[CV] c1=0.10166495077422766, c2=0.07892672371482849 ..................
[CV]  c1=0.10166495077422766, c2=0.07892672371482849, score=0.706695 -   1.4s
[CV] c1=0.8514499630715727, c2=0.0027002735979854177 .................
[CV]  c1=0.8514499630715727, c2=0.0027002735979854177, score=0.766597 -   1.5s
[CV] c1=0.8003007800583896, c2=0.007944703665525738 ..................
[CV]  c1=0.8003007800583896, c2=0.007944703665525738, score=0.825504 -   1.5s
[CV] c1=0.5833382775884716, c2=0.014312645791008941 ..................
[CV]  c1=0.5833382775884716, c2=0.014312645791008941, score=0.781519 -   1.6s
[CV] c1=0.8795516350615689, c2=0.14208159584553065 ...................
[CV]  c1=0.8795516350615689, c2=0.14208159584553065, score=0.605132 -   1.2s
[CV] c1=0.3446953467300803, c2=0.004994407430160709 ..................
[CV]  c1=0.3446953467300803, c2=0.004994407430160709, score=0.873762 -   1.6s
[CV] c1=0.480648609445694, c2=0.0019289679692408468 ..................
[CV]  c1=0.480648609445694, c2=0.0019289679692408468, score=0.716614 -   1.2s
[CV] c1=0.5030767644540799, c2=0.04816375115198358 ...................
[CV]  c1=0.5030767644540799, c2=0.04816375115198358, score=0.740203 -   1.8s
[CV] c1=0.0738488368392876, c2=0.006775359708778248 ..................
[CV]  c1=0.0738488368392876, c2=0.006775359708778248, score=0.705955 -   1.1s
[CV] c1=0.5828732056414047, c2=0.11873745863909886 ...................
[CV]  c1=0.5828732056414047, c2=0.11873745863909886, score=0.835168 -   1.3s
[CV] c1=0.1805124505228887, c2=0.05821402919565574 ...................
[CV]  c1=0.1805124505228887, c2=0.05821402919565574, score=0.820190 -   1.5s
[CV] c1=0.7221717125665201, c2=0.0064899693379827685 .................
[CV]  c1=0.7221717125665201, c2=0.0064899693379827685, score=0.798938 -   1.7s
[CV] c1=0.086893510817588, c2=0.022311879098590115 ...................
[CV]  c1=0.086893510817588, c2=0.022311879098590115, score=0.870633 -   1.6s
[CV] c1=0.265453720060384, c2=0.060085051094849386 ...................
[CV]  c1=0.265453720060384, c2=0.060085051094849386, score=0.790517 -   1.7s
[CV] c1=0.5936969784629992, c2=0.0336528105446181 ....................
[CV]  c1=0.5936969784629992, c2=0.0336528105446181, score=0.698300 -   1.3s
[CV] c1=0.7441382469752713, c2=0.0040934329174263945 .................
[CV]  c1=0.7441382469752713, c2=0.0040934329174263945, score=0.794855 -   1.5s
[CV] c1=0.3704585965888913, c2=0.047499787279413945 ..................
[CV]  c1=0.3704585965888913, c2=0.047499787279413945, score=0.770765 -   1.6s
[CV] c1=0.4491534474969529, c2=0.043242334289829716 ..................
[CV]  c1=0.4491534474969529, c2=0.043242334289829716, score=0.803376 -   1.6s
[CV] c1=0.8460691016833224, c2=0.03239376659961427 ...................
[CV]  c1=0.8460691016833224, c2=0.03239376659961427, score=0.762774 -   1.6s
[CV] c1=0.38279902618553907, c2=0.012714117672535594 .................
[CV]  c1=0.38279902618553907, c2=0.012714117672535594, score=0.814329 -   1.7s
[CV] c1=0.16094662661387904, c2=0.10086163805206064 ..................
[CV]  c1=0.16094662661387904, c2=0.10086163805206064, score=0.885984 -   1.6s
[CV] c1=0.5828732056414047, c2=0.11873745863909886 ...................
[CV]  c1=0.5828732056414047, c2=0.11873745863909886, score=0.715963 -   1.3s
[CV] c1=0.1805124505228887, c2=0.05821402919565574 ...................
[CV]  c1=0.1805124505228887, c2=0.05821402919565574, score=0.779058 -   1.7s
[CV] c1=1.0164554443672547, c2=0.04972912186378503 ...................
[CV]  c1=1.0164554443672547, c2=0.04972912186378503, score=0.676326 -   1.7s
[CV] c1=0.06120934708786098, c2=0.07159555948298034 ..................
[CV]  c1=0.06120934708786098, c2=0.07159555948298034, score=0.881523 -   1.6s
[CV] c1=1.520660946790567, c2=0.14629533579243578 ....................
[CV]  c1=1.520660946790567, c2=0.14629533579243578, score=0.554860 -   1.7s
[CV] c1=0.03652036829507321, c2=0.05165435048758889 ..................
[CV]  c1=0.03652036829507321, c2=0.05165435048758889, score=0.719083 -   1.3s
[CV] c1=0.005630734990831444, c2=0.028577686212361078 ................
[CV]  c1=0.005630734990831444, c2=0.028577686212361078, score=0.796815 -   1.7s
[CV] c1=0.20833039041368698, c2=0.013356256212530794 .................
[CV]  c1=0.20833039041368698, c2=0.013356256212530794, score=0.812821 -   1.6s
[CV] c1=0.7488670514795623, c2=0.06055052787960683 ...................
[CV]  c1=0.7488670514795623, c2=0.06055052787960683, score=0.856445 -   1.6s
[CV] c1=0.6856838626595704, c2=0.09107735143652325 ...................
[CV]  c1=0.6856838626595704, c2=0.09107735143652325, score=0.769029 -   1.5s
[CV] c1=0.23235477387579437, c2=0.0033394935839286422 ................
[CV]  c1=0.23235477387579437, c2=0.0033394935839286422, score=0.888388 -   1.7s
[CV] c1=0.1838533021123547, c2=0.043453060282003665 ..................
[CV]  c1=0.1838533021123547, c2=0.043453060282003665, score=0.695757 -   1.2s
[CV] c1=0.7815761760751512, c2=0.028445694571766246 ..................
[CV]  c1=0.7815761760751512, c2=0.028445694571766246, score=0.780549 -   1.3s
[CV] c1=0.34314988174673794, c2=0.0514146290042336 ...................
[CV]  c1=0.34314988174673794, c2=0.0514146290042336, score=0.775286 -   1.6s
[CV] c1=0.5131619394507986, c2=0.09464763711950408 ...................
[CV]  c1=0.5131619394507986, c2=0.09464763711950408, score=0.730003 -   1.6s
[CV] c1=0.3687768004276132, c2=0.0005893428985386895 .................
[CV]  c1=0.3687768004276132, c2=0.0005893428985386895, score=0.865670 -   1.6s
[CV] c1=0.9067443503240884, c2=0.00410147866172495 ...................
[CV]  c1=0.9067443503240884, c2=0.00410147866172495, score=0.677066 -   1.5s
[CV] c1=0.8925668490582348, c2=0.12081787734660779 ...................
[CV]  c1=0.8925668490582348, c2=0.12081787734660779, score=0.749391 -   1.4s
[CV] c1=0.01377682046213379, c2=0.004782085182995012 .................
[CV]  c1=0.01377682046213379, c2=0.004782085182995012, score=0.882374 -   1.5s
[CV] c1=0.20833039041368698, c2=0.013356256212530794 .................
[CV]  c1=0.20833039041368698, c2=0.013356256212530794, score=0.863349 -   1.6s
[CV] c1=0.30385144308267525, c2=0.054976012583899836 .................
[CV]  c1=0.30385144308267525, c2=0.054976012583899836, score=0.804359 -   1.7s
[CV] c1=0.6690761932370344, c2=0.03405829163804599 ...................
[CV]  c1=0.6690761932370344, c2=0.03405829163804599, score=0.784370 -   1.5s
[CV] c1=0.5030767644540799, c2=0.04816375115198358 ...................
[CV]  c1=0.5030767644540799, c2=0.04816375115198358, score=0.873827 -   1.5s
[CV] c1=0.07173443559173624, c2=0.0896339283731331 ...................
[CV]  c1=0.07173443559173624, c2=0.0896339283731331, score=0.782573 -   1.6s
[CV] c1=0.3327884890887098, c2=0.09536138902710563 ...................
[CV]  c1=0.3327884890887098, c2=0.09536138902710563, score=0.798753 -   1.4s
[CV] c1=0.34314988174673794, c2=0.0514146290042336 ...................
[CV]  c1=0.34314988174673794, c2=0.0514146290042336, score=0.869380 -   1.6s
[CV] c1=0.01930262562999398, c2=0.01432305778589939 ..................
[CV]  c1=0.01930262562999398, c2=0.01432305778589939, score=0.785017 -   1.6s
[CV] c1=0.06120934708786098, c2=0.07159555948298034 ..................
[CV]  c1=0.06120934708786098, c2=0.07159555948298034, score=0.803504 -   1.6s
[CV] c1=0.24796729322245825, c2=0.043712395207773924 .................
[CV]  c1=0.24796729322245825, c2=0.043712395207773924, score=0.889309 -   1.5s
[CV] c1=0.03652036829507321, c2=0.05165435048758889 ..................
[CV]  c1=0.03652036829507321, c2=0.05165435048758889, score=0.812131 -   1.5s
[CV] c1=0.6088093604567822, c2=0.063155503453338 .....................
[CV]  c1=0.6088093604567822, c2=0.063155503453338, score=0.779390 -   1.5s
[CV] c1=0.7023656082915171, c2=0.054433632475242244 ..................
[CV]  c1=0.7023656082915171, c2=0.054433632475242244, score=0.773548 -   1.5s
[CV] c1=1.0617553450214, c2=0.03687147490368 .........................
[CV]  c1=1.0617553450214, c2=0.03687147490368, score=0.643204 -   1.6s
[CV] c1=0.6856838626595704, c2=0.09107735143652325 ...................
[CV]  c1=0.6856838626595704, c2=0.09107735143652325, score=0.699322 -   1.5s
[CV] c1=0.5030767644540799, c2=0.04816375115198358 ...................
[CV]  c1=0.5030767644540799, c2=0.04816375115198358, score=0.785957 -   1.6s
[CV] c1=0.1838533021123547, c2=0.043453060282003665 ..................
[CV]  c1=0.1838533021123547, c2=0.043453060282003665, score=0.872690 -   1.4s
[CV] c1=0.6323454716834743, c2=0.08476774458104697 ...................
[CV]  c1=0.6323454716834743, c2=0.08476774458104697, score=0.771020 -   1.5s
[CV] c1=0.1333933917636539, c2=0.005727730662748451 ..................
[CV]  c1=0.1333933917636539, c2=0.005727730662748451, score=0.800438 -   1.6s
[CV] c1=0.029228889011189137, c2=0.03677164008946981 .................
[CV]  c1=0.029228889011189137, c2=0.03677164008946981, score=0.706001 -   1.2s
[CV] c1=0.3687768004276132, c2=0.0005893428985386895 .................
[CV]  c1=0.3687768004276132, c2=0.0005893428985386895, score=0.808551 -   1.6s
[CV] c1=0.24796729322245825, c2=0.043712395207773924 .................
[CV]  c1=0.24796729322245825, c2=0.043712395207773924, score=0.830838 -   1.5s
[CV] c1=0.03652036829507321, c2=0.05165435048758889 ..................
[CV]  c1=0.03652036829507321, c2=0.05165435048758889, score=0.834752 -   1.6s
[CV] c1=0.6088093604567822, c2=0.063155503453338 .....................
[CV]  c1=0.6088093604567822, c2=0.063155503453338, score=0.781519 -   1.6s
[CV] c1=0.631250380536868, c2=0.014307664633156726 ...................
[CV]  c1=0.631250380536868, c2=0.014307664633156726, score=0.734039 -   1.6s
[CV] c1=0.7488670514795623, c2=0.06055052787960683 ...................
[CV]  c1=0.7488670514795623, c2=0.06055052787960683, score=0.690860 -   1.6s
[CV] c1=0.19686817518614833, c2=0.02291276875629326 ..................
[CV]  c1=0.19686817518614833, c2=0.02291276875629326, score=0.807541 -   1.6s
[CV] c1=0.23235477387579437, c2=0.0033394935839286422 ................
[CV]  c1=0.23235477387579437, c2=0.0033394935839286422, score=0.797994 -   1.6s
[CV] c1=0.0738488368392876, c2=0.006775359708778248 ..................
[CV]  c1=0.0738488368392876, c2=0.006775359708778248, score=0.820205 -   1.2s
[CV] c1=0.7815761760751512, c2=0.028445694571766246 ..................
[CV]  c1=0.7815761760751512, c2=0.028445694571766246, score=0.865686 -   1.3s
[CV] c1=0.15018045767143445, c2=0.07694874880779119 ..................
[CV]  c1=0.15018045767143445, c2=0.07694874880779119, score=0.779058 -   1.6s
[CV] c1=0.01930262562999398, c2=0.01432305778589939 ..................
[CV]  c1=0.01930262562999398, c2=0.01432305778589939, score=0.821232 -   1.5s
[CV] c1=0.086893510817588, c2=0.022311879098590115 ...................
[CV]  c1=0.086893510817588, c2=0.022311879098590115, score=0.805333 -   1.5s
[CV] c1=0.265453720060384, c2=0.060085051094849386 ...................
[CV]  c1=0.265453720060384, c2=0.060085051094849386, score=0.799760 -   1.5s
[CV] c1=0.7122223874360031, c2=0.013767337992427 .....................
[CV]  c1=0.7122223874360031, c2=0.013767337992427, score=0.712544 -   1.2s
[CV] c1=0.8003007800583896, c2=0.007944703665525738 ..................
[CV]  c1=0.8003007800583896, c2=0.007944703665525738, score=0.694543 -   1.6s
[CV] c1=0.007984008029922105, c2=0.0891343867402436 ..................
[CV]  c1=0.007984008029922105, c2=0.0891343867402436, score=0.810402 -   1.6s
[CV] c1=0.8795516350615689, c2=0.14208159584553065 ...................
[CV]  c1=0.8795516350615689, c2=0.14208159584553065, score=0.749391 -   1.5s
[CV] c1=0.24337782488959334, c2=0.007112991783369946 .................
[CV]  c1=0.24337782488959334, c2=0.007112991783369946, score=0.815574 -   1.5s
[CV] c1=0.6003701074020492, c2=0.0790825371107937 ....................
[CV]  c1=0.6003701074020492, c2=0.0790825371107937, score=0.751582 -   1.5s
[CV] c1=0.08951215573831713, c2=0.03240861470535705 ..................
[CV]  c1=0.08951215573831713, c2=0.03240861470535705, score=0.812131 -   1.5s
[CV] c1=0.7069610500559836, c2=0.07242329505737302 ...................
[CV]  c1=0.7069610500559836, c2=0.07242329505737302, score=0.671243 -   1.0s
[CV] c1=0.1250372189395467, c2=0.008106631479160251 ..................
[CV]  c1=0.1250372189395467, c2=0.008106631479160251, score=0.789452 -   1.5s
[CV] c1=0.1333933917636539, c2=0.005727730662748451 ..................
[CV]  c1=0.1333933917636539, c2=0.005727730662748451, score=0.882641 -   1.4s
[CV] c1=0.48716802559317096, c2=0.004863345569183439 .................
[CV]  c1=0.48716802559317096, c2=0.004863345569183439, score=0.871929 -   1.5s
[CV] c1=0.4877953933269321, c2=0.0114997024317934 ....................
[CV]  c1=0.4877953933269321, c2=0.0114997024317934, score=0.770367 -   1.6s
[CV] c1=0.2635707079008367, c2=0.014292235981128668 ..................
[CV]  c1=0.2635707079008367, c2=0.014292235981128668, score=0.881959 -   1.5s
[CV] c1=0.011266576934865779, c2=0.08929072464405084 .................
[CV]  c1=0.011266576934865779, c2=0.08929072464405084, score=0.834061 -   1.5s
[CV] c1=0.5479695206259677, c2=0.00557708855621377 ...................
[CV]  c1=0.5479695206259677, c2=0.00557708855621377, score=0.804145 -   1.6s
[CV] c1=0.012997711289087097, c2=0.023921705374249338 ................
[CV]  c1=0.012997711289087097, c2=0.023921705374249338, score=0.722705 -   1.2s
[CV] c1=1.0617553450214, c2=0.03687147490368 .........................
[CV]  c1=1.0617553450214, c2=0.03687147490368, score=0.654388 -   1.6s
[CV] c1=0.6690761932370344, c2=0.03405829163804599 ...................
[CV]  c1=0.6690761932370344, c2=0.03405829163804599, score=0.781519 -   1.6s
[CV] c1=0.5030767644540799, c2=0.04816375115198358 ...................
[CV]  c1=0.5030767644540799, c2=0.04816375115198358, score=0.783344 -   1.4s
[CV] c1=0.16094662661387904, c2=0.10086163805206064 ..................
[CV]  c1=0.16094662661387904, c2=0.10086163805206064, score=0.823452 -   1.5s
[CV] c1=0.1250372189395467, c2=0.008106631479160251 ..................
[CV]  c1=0.1250372189395467, c2=0.008106631479160251, score=0.824023 -   1.5s
[CV] c1=0.1333933917636539, c2=0.005727730662748451 ..................
[CV]  c1=0.1333933917636539, c2=0.005727730662748451, score=0.709320 -   1.2s
[CV] c1=0.5131619394507986, c2=0.09464763711950408 ...................
[CV]  c1=0.5131619394507986, c2=0.09464763711950408, score=0.785506 -   1.6s
[CV] c1=0.3687768004276132, c2=0.0005893428985386895 .................
[CV]  c1=0.3687768004276132, c2=0.0005893428985386895, score=0.813750 -   1.7s
[CV] c1=0.24796729322245825, c2=0.043712395207773924 .................
[CV]  c1=0.24796729322245825, c2=0.043712395207773924, score=0.804523 -   1.6s
[CV] c1=0.07681338241054074, c2=0.08799618871402576 ..................
[CV]  c1=0.07681338241054074, c2=0.08799618871402576, score=0.872983 -   1.5s
[CV] c1=1.1734361087827856, c2=0.004088168332605826 ..................
[CV]  c1=1.1734361087827856, c2=0.004088168332605826, score=0.773156 -   1.6s
[CV] c1=0.16590783156931938, c2=0.03206909401474936 ..................
[CV]  c1=0.16590783156931938, c2=0.03206909401474936, score=0.823735 -   1.6s
[CV] c1=0.3446953467300803, c2=0.004994407430160709 ..................
[CV]  c1=0.3446953467300803, c2=0.004994407430160709, score=0.799889 -   1.7s
[CV] c1=0.6003701074020492, c2=0.0790825371107937 ....................
[CV]  c1=0.6003701074020492, c2=0.0790825371107937, score=0.863396 -   1.5s
[CV] c1=0.08951215573831713, c2=0.03240861470535705 ..................
[CV]  c1=0.08951215573831713, c2=0.03240861470535705, score=0.698492 -   1.2s
[CV] c1=0.1838533021123547, c2=0.043453060282003665 ..................
[CV]  c1=0.1838533021123547, c2=0.043453060282003665, score=0.815696 -   1.3s
[CV] c1=1.4965228874666876, c2=0.00982563991055071 ...................
[CV]  c1=1.4965228874666876, c2=0.00982563991055071, score=0.624917 -   1.7s
[CV] c1=0.9823273121989701, c2=0.05703352022778301 ...................
[CV]  c1=0.9823273121989701, c2=0.05703352022778301, score=0.646771 -   1.6s
[CV] c1=0.16643831456933392, c2=0.11461482865000193 ..................
[CV]  c1=0.16643831456933392, c2=0.11461482865000193, score=0.795761 -   1.6s
[CV] c1=0.2852647613650967, c2=0.09477699787061604 ...................
[CV]  c1=0.2852647613650967, c2=0.09477699787061604, score=0.684873 -   1.2s
[CV] c1=0.2635707079008367, c2=0.014292235981128668 ..................
[CV]  c1=0.2635707079008367, c2=0.014292235981128668, score=0.803524 -   1.6s
[CV] c1=0.07681338241054074, c2=0.08799618871402576 ..................
[CV]  c1=0.07681338241054074, c2=0.08799618871402576, score=0.808851 -   1.5s
[CV] c1=1.1734361087827856, c2=0.004088168332605826 ..................
[CV]  c1=1.1734361087827856, c2=0.004088168332605826, score=0.600995 -   1.6s
[CV] c1=0.16590783156931938, c2=0.03206909401474936 ..................
[CV]  c1=0.16590783156931938, c2=0.03206909401474936, score=0.867960 -   1.5s
[CV] c1=0.577118784315513, c2=0.23678774119479606 ....................
[CV]  c1=0.577118784315513, c2=0.23678774119479606, score=0.788285 -   1.5s
[CV] c1=0.480648609445694, c2=0.0019289679692408468 ..................
[CV]  c1=0.480648609445694, c2=0.0019289679692408468, score=0.865501 -   1.5s
[CV] c1=0.6707553769486142, c2=0.09558291595072649 ...................
[CV]  c1=0.6707553769486142, c2=0.09558291595072649, score=0.855775 -   1.5s
[CV] c1=0.0738488368392876, c2=0.006775359708778248 ..................
[CV]  c1=0.0738488368392876, c2=0.006775359708778248, score=0.889065 -   1.3s
[CV] c1=1.4965228874666876, c2=0.00982563991055071 ...................
[CV]  c1=1.4965228874666876, c2=0.00982563991055071, score=0.806914 -   1.5s
[CV] c1=1.5169705301011542, c2=0.03627434083301859 ...................
[CV]  c1=1.5169705301011542, c2=0.03627434083301859, score=0.800042 -   1.5s
[CV] c1=0.029228889011189137, c2=0.03677164008946981 .................
[CV]  c1=0.029228889011189137, c2=0.03677164008946981, score=0.834061 -   1.5s
[CV] c1=0.01594432567741168, c2=0.012122471629859905 .................
[CV]  c1=0.01594432567741168, c2=0.012122471629859905, score=0.793728 -   1.6s
[CV] c1=0.10258848797683388, c2=0.07196935286167695 ..................
[CV]  c1=0.10258848797683388, c2=0.07196935286167695, score=0.816726 -   1.5s
[CV] c1=0.07681338241054074, c2=0.08799618871402576 ..................
[CV]  c1=0.07681338241054074, c2=0.08799618871402576, score=0.782573 -   1.6s
[CV] c1=0.5833382775884716, c2=0.014312645791008941 ..................
[CV]  c1=0.5833382775884716, c2=0.014312645791008941, score=0.731863 -   1.9s
[CV] c1=0.8795516350615689, c2=0.14208159584553065 ...................
[CV]  c1=0.8795516350615689, c2=0.14208159584553065, score=0.680070 -   1.6s
[CV] c1=0.7784280388109375, c2=0.11450535805042195 ...................
[CV]  c1=0.7784280388109375, c2=0.11450535805042195, score=0.628981 -   1.2s
[CV] c1=0.480648609445694, c2=0.0019289679692408468 ..................
[CV]  c1=0.480648609445694, c2=0.0019289679692408468, score=0.799675 -   1.6s
[CV] c1=0.08951215573831713, c2=0.03240861470535705 ..................
[CV]  c1=0.08951215573831713, c2=0.03240861470535705, score=0.779916 -   1.6s
[CV] c1=0.012701108322599996, c2=0.04826434917321365 .................
[CV]  c1=0.012701108322599996, c2=0.04826434917321365, score=0.722705 -   1.0s
[CV] c1=0.5828732056414047, c2=0.11873745863909886 ...................
[CV]  c1=0.5828732056414047, c2=0.11873745863909886, score=0.658721 -   1.0s
[CV] c1=0.1805124505228887, c2=0.05821402919565574 ...................
[CV]  c1=0.1805124505228887, c2=0.05821402919565574, score=0.889183 -   1.6s
[CV] c1=0.7221717125665201, c2=0.0064899693379827685 .................
[CV]  c1=0.7221717125665201, c2=0.0064899693379827685, score=0.705855 -   1.3s
[CV] c1=0.16643831456933392, c2=0.11461482865000193 ..................
[CV]  c1=0.16643831456933392, c2=0.11461482865000193, score=0.797273 -   1.5s
[CV] c1=0.13418082596666567, c2=0.03936774809302657 ..................
[CV]  c1=0.13418082596666567, c2=0.03936774809302657, score=0.809192 -   1.6s
[CV] c1=0.8514499630715727, c2=0.0027002735979854177 .................
[CV]  c1=0.8514499630715727, c2=0.0027002735979854177, score=0.856240 -   1.5s
[CV] c1=0.8625845193453798, c2=0.08977828588586959 ...................
[CV]  c1=0.8625845193453798, c2=0.08977828588586959, score=0.777169 -   1.4s
[CV] c1=0.5833382775884716, c2=0.014312645791008941 ..................
[CV]  c1=0.5833382775884716, c2=0.014312645791008941, score=0.716614 -   1.4s
[CV] c1=0.012997711289087097, c2=0.023921705374249338 ................
[CV]  c1=0.012997711289087097, c2=0.023921705374249338, score=0.834061 -   1.6s
[CV] c1=0.3446953467300803, c2=0.004994407430160709 ..................
[CV]  c1=0.3446953467300803, c2=0.004994407430160709, score=0.722476 -   1.3s
[CV] c1=0.6856838626595704, c2=0.09107735143652325 ...................
[CV]  c1=0.6856838626595704, c2=0.09107735143652325, score=0.798793 -   1.6s
[CV] c1=0.23235477387579437, c2=0.0033394935839286422 ................
[CV]  c1=0.23235477387579437, c2=0.0033394935839286422, score=0.815213 -   1.7s
[CV] c1=0.0738488368392876, c2=0.006775359708778248 ..................
[CV]  c1=0.0738488368392876, c2=0.006775359708778248, score=0.835505 -   1.2s
[CV] c1=0.7815761760751512, c2=0.028445694571766246 ..................
[CV]  c1=0.7815761760751512, c2=0.028445694571766246, score=0.657018 -   1.1s
[CV] c1=0.1805124505228887, c2=0.05821402919565574 ...................
[CV]  c1=0.1805124505228887, c2=0.05821402919565574, score=0.807541 -   1.6s
[CV] c1=1.0164554443672547, c2=0.04972912186378503 ...................
[CV]  c1=1.0164554443672547, c2=0.04972912186378503, score=0.830033 -   1.5s
[CV] c1=0.037397358758089215, c2=0.04424289286583548 .................
[CV]  c1=0.037397358758089215, c2=0.04424289286583548, score=0.715610 -   1.2s
[CV] c1=0.2852647613650967, c2=0.09477699787061604 ...................
[CV]  c1=0.2852647613650967, c2=0.09477699787061604, score=0.790465 -   1.5s
[CV] c1=0.8514499630715727, c2=0.0027002735979854177 .................
[CV]  c1=0.8514499630715727, c2=0.0027002735979854177, score=0.682151 -   1.6s
[CV] c1=0.8625845193453798, c2=0.08977828588586959 ...................
[CV]  c1=0.8625845193453798, c2=0.08977828588586959, score=0.682002 -   1.6s
[CV] c1=0.007984008029922105, c2=0.0891343867402436 ..................
[CV]  c1=0.007984008029922105, c2=0.0891343867402436, score=0.732213 -   1.2s
[CV] c1=0.012997711289087097, c2=0.023921705374249338 ................
[CV]  c1=0.012997711289087097, c2=0.023921705374249338, score=0.821232 -   1.5s
[CV] c1=0.577118784315513, c2=0.23678774119479606 ....................
[CV]  c1=0.577118784315513, c2=0.23678774119479606, score=0.692947 -   1.6s
[CV] c1=0.19686817518614833, c2=0.02291276875629326 ..................
[CV]  c1=0.19686817518614833, c2=0.02291276875629326, score=0.815264 -   1.6s
[CV] c1=0.6707553769486142, c2=0.09558291595072649 ...................
[CV]  c1=0.6707553769486142, c2=0.09558291595072649, score=0.771020 -   1.4s
[CV] c1=0.1838533021123547, c2=0.043453060282003665 ..................
[CV]  c1=0.1838533021123547, c2=0.043453060282003665, score=0.807541 -   1.4s
[CV] c1=0.3327884890887098, c2=0.09536138902710563 ...................
[CV]  c1=0.3327884890887098, c2=0.09536138902710563, score=0.807120 -   1.4s
[CV] c1=0.34314988174673794, c2=0.0514146290042336 ...................
[CV]  c1=0.34314988174673794, c2=0.0514146290042336, score=0.664731 -   1.1s
[CV] c1=0.7221717125665201, c2=0.0064899693379827685 .................
[CV]  c1=0.7221717125665201, c2=0.0064899693379827685, score=0.794855 -   1.5s
[CV] c1=0.013991418995822043, c2=0.015531900249690204 ................
[CV]  c1=0.013991418995822043, c2=0.015531900249690204, score=0.811040 -   1.5s
[CV] c1=0.2852647613650967, c2=0.09477699787061604 ...................
[CV]  c1=0.2852647613650967, c2=0.09477699787061604, score=0.811525 -   1.5s
[CV] c1=0.8514499630715727, c2=0.0027002735979854177 .................
[CV]  c1=0.8514499630715727, c2=0.0027002735979854177, score=0.794855 -   1.5s
[CV] c1=0.8625845193453798, c2=0.08977828588586959 ...................
[CV]  c1=0.8625845193453798, c2=0.08977828588586959, score=0.688110 -   1.6s
[CV] c1=0.5833382775884716, c2=0.014312645791008941 ..................
[CV]  c1=0.5833382775884716, c2=0.014312645791008941, score=0.781109 -   1.6s
[CV] c1=0.16590783156931938, c2=0.03206909401474936 ..................
[CV]  c1=0.16590783156931938, c2=0.03206909401474936, score=0.815269 -   1.6s
[CV] c1=0.24337782488959334, c2=0.007112991783369946 .................
[CV]  c1=0.24337782488959334, c2=0.007112991783369946, score=0.847664 -   1.5s
[CV] c1=0.6003701074020492, c2=0.0790825371107937 ....................
[CV]  c1=0.6003701074020492, c2=0.0790825371107937, score=0.781519 -   1.6s
[CV] c1=0.746624828251298, c2=0.004258889485217024 ...................
[CV]  c1=0.746624828251298, c2=0.004258889485217024, score=0.703197 -   1.2s
[CV] c1=0.7069610500559836, c2=0.07242329505737302 ...................
[CV]  c1=0.7069610500559836, c2=0.07242329505737302, score=0.849661 -   1.3s
[CV] c1=1.0557428102970103, c2=0.029980750289388666 ..................
[CV]  c1=1.0557428102970103, c2=0.029980750289388666, score=0.650476 -   1.5s
[CV] c1=1.5241774345556331, c2=0.04779651062661553 ...................
[CV]  c1=1.5241774345556331, c2=0.04779651062661553, score=0.716501 -   1.4s
[CV] c1=0.5131619394507986, c2=0.09464763711950408 ...................
[CV]  c1=0.5131619394507986, c2=0.09464763711950408, score=0.668661 -   1.2s
[CV] c1=0.037397358758089215, c2=0.04424289286583548 .................
[CV]  c1=0.037397358758089215, c2=0.04424289286583548, score=0.832432 -   1.6s
[CV] c1=0.10166495077422766, c2=0.07892672371482849 ..................
[CV]  c1=0.10166495077422766, c2=0.07892672371482849, score=0.814403 -   1.5s
[CV] c1=1.111464359230027, c2=0.010576370645009072 ...................
[CV]  c1=1.111464359230027, c2=0.010576370645009072, score=0.775232 -   1.6s
[CV] c1=0.7441382469752713, c2=0.0040934329174263945 .................
[CV]  c1=0.7441382469752713, c2=0.0040934329174263945, score=0.849303 -   1.5s
[CV] c1=0.3704585965888913, c2=0.047499787279413945 ..................
[CV]  c1=0.3704585965888913, c2=0.047499787279413945, score=0.699577 -   1.2s
[CV] c1=0.16590783156931938, c2=0.03206909401474936 ..................
[CV]  c1=0.16590783156931938, c2=0.03206909401474936, score=0.850291 -   1.5s
[CV] c1=0.3446953467300803, c2=0.004994407430160709 ..................
[CV]  c1=0.3446953467300803, c2=0.004994407430160709, score=0.811737 -   1.5s
[CV] c1=0.480648609445694, c2=0.0019289679692408468 ..................
[CV]  c1=0.480648609445694, c2=0.0019289679692408468, score=0.812398 -   1.5s
[CV] c1=0.6707553769486142, c2=0.09558291595072649 ...................
[CV]  c1=0.6707553769486142, c2=0.09558291595072649, score=0.711510 -   1.6s
[CV] c1=0.0738488368392876, c2=0.006775359708778248 ..................
[CV]  c1=0.0738488368392876, c2=0.006775359708778248, score=0.808504 -   1.3s
[CV] c1=1.0557428102970103, c2=0.029980750289388666 ..................
[CV]  c1=1.0557428102970103, c2=0.029980750289388666, score=0.837092 -   1.5s
[CV] c1=1.5241774345556331, c2=0.04779651062661553 ...................
[CV]  c1=1.5241774345556331, c2=0.04779651062661553, score=0.554860 -   1.6s
[CV] c1=0.08208443710303363, c2=0.05220535582967828 ..................
[CV]  c1=0.08208443710303363, c2=0.05220535582967828, score=0.812131 -   1.5s
[CV] c1=0.3687768004276132, c2=0.0005893428985386895 .................
[CV]  c1=0.3687768004276132, c2=0.0005893428985386895, score=0.812398 -   1.5s
[CV] c1=0.9067443503240884, c2=0.00410147866172495 ...................
[CV]  c1=0.9067443503240884, c2=0.00410147866172495, score=0.782419 -   1.4s
[CV] c1=0.8925668490582348, c2=0.12081787734660779 ...................
[CV]  c1=0.8925668490582348, c2=0.12081787734660779, score=0.832692 -   1.6s
[CV] c1=0.6088093604567822, c2=0.063155503453338 .....................
[CV]  c1=0.6088093604567822, c2=0.063155503453338, score=0.841473 -   1.6s
[CV] c1=0.7023656082915171, c2=0.054433632475242244 ..................
[CV]  c1=0.7023656082915171, c2=0.054433632475242244, score=0.781519 -   1.6s
[CV] c1=0.577118784315513, c2=0.23678774119479606 ....................
[CV]  c1=0.577118784315513, c2=0.23678774119479606, score=0.842965 -   1.5s
[CV] c1=0.19686817518614833, c2=0.02291276875629326 ..................
[CV]  c1=0.19686817518614833, c2=0.02291276875629326, score=0.877300 -   1.6s
[CV] c1=0.23235477387579437, c2=0.0033394935839286422 ................
[CV]  c1=0.23235477387579437, c2=0.0033394935839286422, score=0.837075 -   1.5s
[CV] c1=0.1838533021123547, c2=0.043453060282003665 ..................
[CV]  c1=0.1838533021123547, c2=0.043453060282003665, score=0.770303 -   1.5s
[CV] c1=1.0557428102970103, c2=0.029980750289388666 ..................
[CV]  c1=1.0557428102970103, c2=0.029980750289388666, score=0.645785 -   1.5s
[CV] c1=0.001366471373335289, c2=0.04676457694769755 .................
[CV]  c1=0.001366471373335289, c2=0.04676457694769755, score=0.885226 -   1.5s
[CV] c1=0.08208443710303363, c2=0.05220535582967828 ..................
[CV]  c1=0.08208443710303363, c2=0.05220535582967828, score=0.809711 -   1.6s
[CV] c1=0.4877953933269321, c2=0.0114997024317934 ....................
[CV]  c1=0.4877953933269321, c2=0.0114997024317934, score=0.720947 -   1.4s
[CV] c1=0.9067443503240884, c2=0.00410147866172495 ...................
[CV]  c1=0.9067443503240884, c2=0.00410147866172495, score=0.833125 -   1.5s
[CV] c1=0.8925668490582348, c2=0.12081787734660779 ...................
[CV]  c1=0.8925668490582348, c2=0.12081787734660779, score=0.602901 -   1.3s
[CV] c1=0.005630734990831444, c2=0.028577686212361078 ................
[CV]  c1=0.005630734990831444, c2=0.028577686212361078, score=0.700248 -   1.2s
[CV] c1=0.3704585965888913, c2=0.047499787279413945 ..................
[CV]  c1=0.3704585965888913, c2=0.047499787279413945, score=0.830948 -   1.6s
[CV] c1=0.4491534474969529, c2=0.043242334289829716 ..................
[CV]  c1=0.4491534474969529, c2=0.043242334289829716, score=0.873827 -   1.5s
[CV] c1=0.24337782488959334, c2=0.007112991783369946 .................
[CV]  c1=0.24337782488959334, c2=0.007112991783369946, score=0.804974 -   1.6s
[CV] c1=0.4812252961827236, c2=0.01903878519093029 ...................
[CV]  c1=0.4812252961827236, c2=0.01903878519093029, score=0.762459 -   1.5s
[CV] c1=0.4053354864196367, c2=0.0412373940604573 ....................
[CV]  c1=0.4053354864196367, c2=0.0412373940604573, score=0.875193 -   1.5s
[CV] c1=0.08431267153797571, c2=0.10783432803907043 ..................
[CV]  c1=0.08431267153797571, c2=0.10783432803907043, score=0.718480 -   0.9s
[CV] c1=0.5828732056414047, c2=0.11873745863909886 ...................
[CV]  c1=0.5828732056414047, c2=0.11873745863909886, score=0.772889 -   1.3s
[CV] c1=0.15018045767143445, c2=0.07694874880779119 ..................
[CV]  c1=0.15018045767143445, c2=0.07694874880779119, score=0.693726 -   1.2s
[CV] c1=0.7221717125665201, c2=0.0064899693379827685 .................
[CV]  c1=0.7221717125665201, c2=0.0064899693379827685, score=0.715497 -   1.6s
[CV] c1=0.037397358758089215, c2=0.04424289286583548 .................
[CV]  c1=0.037397358758089215, c2=0.04424289286583548, score=0.881523 -   1.5s
[CV] c1=0.10166495077422766, c2=0.07892672371482849 ..................
[CV]  c1=0.10166495077422766, c2=0.07892672371482849, score=0.884124 -   1.6s
[CV] c1=1.111464359230027, c2=0.010576370645009072 ...................
[CV]  c1=1.111464359230027, c2=0.010576370645009072, score=0.654388 -   1.7s
[CV] c1=0.8003007800583896, c2=0.007944703665525738 ..................
[CV]  c1=0.8003007800583896, c2=0.007944703665525738, score=0.794855 -   1.4s
[CV] c1=0.007984008029922105, c2=0.0891343867402436 ..................
[CV]  c1=0.007984008029922105, c2=0.0891343867402436, score=0.784362 -   1.6s
[CV] c1=0.4491534474969529, c2=0.043242334289829716 ..................
[CV]  c1=0.4491534474969529, c2=0.043242334289829716, score=0.698300 -   1.3s
[CV] c1=0.24337782488959334, c2=0.007112991783369946 .................
[CV]  c1=0.24337782488959334, c2=0.007112991783369946, score=0.906426 -   1.6s
[CV] c1=0.6003701074020492, c2=0.0790825371107937 ....................
[CV]  c1=0.6003701074020492, c2=0.0790825371107937, score=0.725924 -   1.5s
[CV] c1=0.08951215573831713, c2=0.03240861470535705 ..................
[CV]  c1=0.08951215573831713, c2=0.03240861470535705, score=0.825396 -   1.5s
[CV] c1=0.7069610500559836, c2=0.07242329505737302 ...................
[CV]  c1=0.7069610500559836, c2=0.07242329505737302, score=0.797022 -   1.2s
[CV] c1=0.3327884890887098, c2=0.09536138902710563 ...................
[CV]  c1=0.3327884890887098, c2=0.09536138902710563, score=0.684873 -   1.0s
[CV] c1=0.1805124505228887, c2=0.05821402919565574 ...................
[CV]  c1=0.1805124505228887, c2=0.05821402919565574, score=0.691131 -   1.4s
[CV] c1=0.7221717125665201, c2=0.0064899693379827685 .................
[CV]  c1=0.7221717125665201, c2=0.0064899693379827685, score=0.842562 -   1.6s
[CV] c1=0.013991418995822043, c2=0.015531900249690204 ................
[CV]  c1=0.013991418995822043, c2=0.015531900249690204, score=0.730565 -   1.2s
[CV] c1=0.13418082596666567, c2=0.03936774809302657 ..................
[CV]  c1=0.13418082596666567, c2=0.03936774809302657, score=0.695363 -   1.3s
[CV] c1=0.24796729322245825, c2=0.043712395207773924 .................
[CV]  c1=0.24796729322245825, c2=0.043712395207773924, score=0.681088 -   1.3s
[CV] c1=0.5936969784629992, c2=0.0336528105446181 ....................
[CV]  c1=0.5936969784629992, c2=0.0336528105446181, score=0.781519 -   1.5s
[CV] c1=0.01377682046213379, c2=0.004782085182995012 .................
[CV]  c1=0.01377682046213379, c2=0.004782085182995012, score=0.709493 -   1.3s
[CV] c1=0.21876786819356706, c2=0.008355512101067693 .................
[CV]  c1=0.21876786819356706, c2=0.008355512101067693, score=0.881959 -   1.5s
[CV] c1=0.026978643606810293, c2=0.002662234558274076 ................
[CV]  c1=0.026978643606810293, c2=0.002662234558274076, score=0.819149 -   1.6s
[CV] c1=0.8460691016833224, c2=0.03239376659961427 ...................
[CV]  c1=0.8460691016833224, c2=0.03239376659961427, score=0.782501 -   1.3s
[CV] c1=1.081207686477318, c2=0.028570811254647895 ...................
[CV]  c1=1.081207686477318, c2=0.028570811254647895, score=0.817368 -   1.5s
[CV] c1=0.4053354864196367, c2=0.0412373940604573 ....................
[CV]  c1=0.4053354864196367, c2=0.0412373940604573, score=0.698300 -   1.3s
[CV] c1=0.012701108322599996, c2=0.04826434917321365 .................
[CV]  c1=0.012701108322599996, c2=0.04826434917321365, score=0.885046 -   1.2s
[CV] c1=0.3327884890887098, c2=0.09536138902710563 ...................
[CV]  c1=0.3327884890887098, c2=0.09536138902710563, score=0.784207 -   1.3s
[CV] c1=0.15018045767143445, c2=0.07694874880779119 ..................
[CV]  c1=0.15018045767143445, c2=0.07694874880779119, score=0.814403 -   1.5s
[CV] c1=1.0164554443672547, c2=0.04972912186378503 ...................
[CV]  c1=1.0164554443672547, c2=0.04972912186378503, score=0.777169 -   1.5s
[CV] c1=0.037397358758089215, c2=0.04424289286583548 .................
[CV]  c1=0.037397358758089215, c2=0.04424289286583548, score=0.812131 -   1.6s
[CV] c1=0.265453720060384, c2=0.060085051094849386 ...................
[CV]  c1=0.265453720060384, c2=0.060085051094849386, score=0.860560 -   1.7s
[CV] c1=0.5936969784629992, c2=0.0336528105446181 ....................
[CV]  c1=0.5936969784629992, c2=0.0336528105446181, score=0.835816 -   1.6s
[CV] c1=0.005630734990831444, c2=0.028577686212361078 ................
[CV]  c1=0.005630734990831444, c2=0.028577686212361078, score=0.825246 -   1.6s
[CV] c1=0.20833039041368698, c2=0.013356256212530794 .................
[CV]  c1=0.20833039041368698, c2=0.013356256212530794, score=0.669211 -   1.3s
[CV] c1=0.026978643606810293, c2=0.002662234558274076 ................
[CV]  c1=0.026978643606810293, c2=0.002662234558274076, score=0.710380 -   1.2s
[CV] c1=0.7784280388109375, c2=0.11450535805042195 ...................
[CV]  c1=0.7784280388109375, c2=0.11450535805042195, score=0.842099 -   1.5s
[CV] c1=0.4812252961827236, c2=0.01903878519093029 ...................
[CV]  c1=0.4812252961827236, c2=0.01903878519093029, score=0.720947 -   1.2s
[CV] c1=0.08951215573831713, c2=0.03240861470535705 ..................
[CV]  c1=0.08951215573831713, c2=0.03240861470535705, score=0.874292 -   1.6s
[CV] c1=0.7069610500559836, c2=0.07242329505737302 ...................
[CV]  c1=0.7069610500559836, c2=0.07242329505737302, score=0.794855 -   1.1s
[CV] c1=1.0356986268911696, c2=0.18539422903117275 ...................
[CV]  c1=1.0356986268911696, c2=0.18539422903117275, score=0.620558 -   1.5s
[CV] c1=0.9823273121989701, c2=0.05703352022778301 ...................
[CV]  c1=0.9823273121989701, c2=0.05703352022778301, score=0.775232 -   1.5s
[CV] c1=0.16643831456933392, c2=0.11461482865000193 ..................
[CV]  c1=0.16643831456933392, c2=0.11461482865000193, score=0.700901 -   1.2s
[CV] c1=0.4877953933269321, c2=0.0114997024317934 ....................
[CV]  c1=0.4877953933269321, c2=0.0114997024317934, score=0.797877 -   1.7s
[CV] c1=0.10258848797683388, c2=0.07196935286167695 ..................
[CV]  c1=0.10258848797683388, c2=0.07196935286167695, score=0.721720 -   1.2s
[CV] c1=0.03652036829507321, c2=0.05165435048758889 ..................
[CV]  c1=0.03652036829507321, c2=0.05165435048758889, score=0.878120 -   1.5s
[CV] c1=0.6088093604567822, c2=0.063155503453338 .....................
[CV]  c1=0.6088093604567822, c2=0.063155503453338, score=0.694575 -   1.3s
[CV] c1=0.21876786819356706, c2=0.008355512101067693 .................
[CV]  c1=0.21876786819356706, c2=0.008355512101067693, score=0.815720 -   1.7s
[CV] c1=1.0617553450214, c2=0.03687147490368 .........................
[CV]  c1=1.0617553450214, c2=0.03687147490368, score=0.641861 -   1.2s
[CV] c1=0.8460691016833224, c2=0.03239376659961427 ...................
[CV]  c1=0.8460691016833224, c2=0.03239376659961427, score=0.680169 -   1.5s
[CV] c1=0.38279902618553907, c2=0.012714117672535594 .................
[CV]  c1=0.38279902618553907, c2=0.012714117672535594, score=0.873382 -   1.5s
[CV] c1=0.5303056501897584, c2=0.1487793715916113 ....................
[CV]  c1=0.5303056501897584, c2=0.1487793715916113, score=0.667859 -   1.2s
[CV] c1=0.012701108322599996, c2=0.04826434917321365 .................
[CV]  c1=0.012701108322599996, c2=0.04826434917321365, score=0.816145 -   1.1s
[CV] c1=1.0557428102970103, c2=0.029980750289388666 ..................
[CV]  c1=1.0557428102970103, c2=0.029980750289388666, score=0.635931 -   1.1s
[CV] c1=0.15018045767143445, c2=0.07694874880779119 ..................
[CV]  c1=0.15018045767143445, c2=0.07694874880779119, score=0.880643 -   1.5s
[CV] c1=1.0164554443672547, c2=0.04972912186378503 ...................
[CV]  c1=1.0164554443672547, c2=0.04972912186378503, score=0.650476 -   1.6s
[CV] c1=0.037397358758089215, c2=0.04424289286583548 .................
[CV]  c1=0.037397358758089215, c2=0.04424289286583548, score=0.782529 -   1.6s
[CV] c1=0.265453720060384, c2=0.060085051094849386 ...................
[CV]  c1=0.265453720060384, c2=0.060085051094849386, score=0.681088 -   1.3s
[CV] c1=1.111464359230027, c2=0.010576370645009072 ...................
[CV]  c1=1.111464359230027, c2=0.010576370645009072, score=0.650980 -   1.1s
[CV] c1=0.8625845193453798, c2=0.08977828588586959 ...................
[CV]  c1=0.8625845193453798, c2=0.08977828588586959, score=0.855171 -   1.7s
[CV] c1=0.007984008029922105, c2=0.0891343867402436 ..................
[CV]  c1=0.007984008029922105, c2=0.0891343867402436, score=0.882191 -   1.6s
[CV] c1=0.8795516350615689, c2=0.14208159584553065 ...................
[CV]  c1=0.8795516350615689, c2=0.14208159584553065, score=0.846760 -   1.6s
[CV] c1=0.24337782488959334, c2=0.007112991783369946 .................
[CV]  c1=0.24337782488959334, c2=0.007112991783369946, score=0.720461 -   1.2s
[CV] c1=0.480648609445694, c2=0.0019289679692408468 ..................
[CV]  c1=0.480648609445694, c2=0.0019289679692408468, score=0.738748 -   1.6s
[CV] c1=0.6707553769486142, c2=0.09558291595072649 ...................
[CV]  c1=0.6707553769486142, c2=0.09558291595072649, score=0.802780 -   1.6s
[CV] c1=0.7069610500559836, c2=0.07242329505737302 ...................
[CV]  c1=0.7069610500559836, c2=0.07242329505737302, score=0.715963 -   1.3s
[CV] c1=1.0557428102970103, c2=0.029980750289388666 ..................
[CV]  c1=1.0557428102970103, c2=0.029980750289388666, score=0.749324 -   1.3s
[CV] c1=1.5241774345556331, c2=0.04779651062661553 ...................
[CV]  c1=1.5241774345556331, c2=0.04779651062661553, score=0.806315 -   1.4s
[CV] c1=0.01930262562999398, c2=0.01432305778589939 ..................
[CV]  c1=0.01930262562999398, c2=0.01432305778589939, score=0.834752 -   1.6s
[CV] c1=0.086893510817588, c2=0.022311879098590115 ...................
[CV]  c1=0.086893510817588, c2=0.022311879098590115, score=0.773844 -   1.6s
[CV] c1=1.520660946790567, c2=0.14629533579243578 ....................
[CV]  c1=1.520660946790567, c2=0.14629533579243578, score=0.607237 -   1.6s
[CV] c1=0.5936969784629992, c2=0.0336528105446181 ....................
[CV]  c1=0.5936969784629992, c2=0.0336528105446181, score=0.787704 -   1.6s
[CV] c1=0.01377682046213379, c2=0.004782085182995012 .................
[CV]  c1=0.01377682046213379, c2=0.004782085182995012, score=0.835815 -   1.7s
[CV] c1=0.7023656082915171, c2=0.054433632475242244 ..................
[CV]  c1=0.7023656082915171, c2=0.054433632475242244, score=0.672578 -   1.2s
[CV] c1=0.30385144308267525, c2=0.054976012583899836 .................
[CV]  c1=0.30385144308267525, c2=0.054976012583899836, score=0.867614 -   1.6s
[CV] c1=0.29098153522093584, c2=0.0070186178887449956 ................
[CV]  c1=0.29098153522093584, c2=0.0070186178887449956, score=0.731969 -   1.3s
[CV] c1=1.081207686477318, c2=0.028570811254647895 ...................
[CV]  c1=1.081207686477318, c2=0.028570811254647895, score=0.627351 -   1.3s
[CV] c1=0.746624828251298, c2=0.004258889485217024 ...................
[CV]  c1=0.746624828251298, c2=0.004258889485217024, score=0.860673 -   1.6s
[CV] c1=0.012701108322599996, c2=0.04826434917321365 .................
[CV]  c1=0.012701108322599996, c2=0.04826434917321365, score=0.837189 -   1.1s
[CV] c1=1.4965228874666876, c2=0.00982563991055071 ...................
[CV]  c1=1.4965228874666876, c2=0.00982563991055071, score=0.586149 -   1.3s
[CV] c1=0.001366471373335289, c2=0.04676457694769755 .................
[CV]  c1=0.001366471373335289, c2=0.04676457694769755, score=0.821232 -   1.5s
[CV] c1=0.48716802559317096, c2=0.004863345569183439 .................
[CV]  c1=0.48716802559317096, c2=0.004863345569183439, score=0.720947 -   1.2s
[CV] c1=0.06120934708786098, c2=0.07159555948298034 ..................
[CV]  c1=0.06120934708786098, c2=0.07159555948298034, score=0.812131 -   1.4s
[CV] c1=1.520660946790567, c2=0.14629533579243578 ....................
[CV]  c1=1.520660946790567, c2=0.14629533579243578, score=0.549317 -   1.3s
[CV] c1=1.111464359230027, c2=0.010576370645009072 ...................
[CV]  c1=1.111464359230027, c2=0.010576370645009072, score=0.643204 -   1.6s
[CV] c1=0.7441382469752713, c2=0.0040934329174263945 .................
[CV]  c1=0.7441382469752713, c2=0.0040934329174263945, score=0.703197 -   1.2s
[CV] c1=0.007984008029922105, c2=0.0891343867402436 ..................
[CV]  c1=0.007984008029922105, c2=0.0891343867402436, score=0.816145 -   1.5s
[CV] c1=0.8795516350615689, c2=0.14208159584553065 ...................
[CV]  c1=0.8795516350615689, c2=0.14208159584553065, score=0.650476 -   1.8s
[CV] c1=0.7784280388109375, c2=0.11450535805042195 ...................
[CV]  c1=0.7784280388109375, c2=0.11450535805042195, score=0.756714 -   1.5s
[CV] c1=0.4812252961827236, c2=0.01903878519093029 ...................
[CV]  c1=0.4812252961827236, c2=0.01903878519093029, score=0.811284 -   1.5s
[CV] c1=0.746624828251298, c2=0.004258889485217024 ...................
[CV]  c1=0.746624828251298, c2=0.004258889485217024, score=0.759242 -   1.5s
[CV] c1=0.012701108322599996, c2=0.04826434917321365 .................
[CV]  c1=0.012701108322599996, c2=0.04826434917321365, score=0.834752 -   1.2s
Training done in: 21.488411s
     Saving training model...
        Saving training model done in: 0.013682s
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Prediction done in: 0.035593s