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

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Run3_v11.txt 72.6 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: Run3
Exclude stop words: False
Levels: S1: FalseS2: 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: 0.003801s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0      1
0       lemma      :
1      postag      :
2    -1:lemma     in
3   -1:postag     IN
4    +1:lemma     m9
5   +1:postag     NN
6        word      :
7     isUpper  False
8     isLower  False
9     isGreek  False
10   isNumber  False
11    -1:word     in
12    +1:word     M9
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.19461409558462445, c2=0.002117537082572375 .................
[CV]  c1=0.19461409558462445, c2=0.002117537082572375, score=0.806420 -   1.4s
[CV] c1=0.3774513788096811, c2=0.10227451789023641 ...................
[CV]  c1=0.3774513788096811, c2=0.10227451789023641, score=0.815131 -   1.4s
[CV] c1=0.044101733520319826, c2=0.06563207304227675 .................
[CV]  c1=0.044101733520319826, c2=0.06563207304227675, score=0.844126 -   1.3s
[CV] c1=0.09220162770738331, c2=0.02389328919645257 ..................
[CV]  c1=0.09220162770738331, c2=0.02389328919645257, score=0.823674 -   1.4s
[CV] c1=0.14635239732647912, c2=0.0667209538001761 ...................
[CV]  c1=0.14635239732647912, c2=0.0667209538001761, score=0.811645 -   1.4s
[CV] c1=0.01080338410165538, c2=0.019651341976812065 .................
[CV]  c1=0.01080338410165538, c2=0.019651341976812065, score=0.694425 -   1.1s
[CV] c1=0.6299958911312575, c2=0.054400556373327746 ..................
[CV]  c1=0.6299958911312575, c2=0.054400556373327746, score=0.725878 -   1.4s
[CV] c1=0.46144793817137586, c2=0.002064242708906887 .................
[CV]  c1=0.46144793817137586, c2=0.002064242708906887, score=0.827552 -   1.3s
[CV] c1=0.3624803351822326, c2=0.014905264079937686 ..................
[CV]  c1=0.3624803351822326, c2=0.014905264079937686, score=0.691379 -   1.2s
[CV] c1=0.8183814234853697, c2=0.07136078081499835 ...................
[CV]  c1=0.8183814234853697, c2=0.07136078081499835, score=0.636149 -   1.1s
[CV] c1=0.8963097968953715, c2=0.0452892292285878 ....................
[CV]  c1=0.8963097968953715, c2=0.0452892292285878, score=0.589918 -   1.4s
[CV] c1=0.3712212307161401, c2=0.008767668548728557 ..................
[CV]  c1=0.3712212307161401, c2=0.008767668548728557, score=0.800248 -   1.5s
[CV] c1=0.19461409558462445, c2=0.002117537082572375 .................
[CV]  c1=0.19461409558462445, c2=0.002117537082572375, score=0.903538 -   1.3s
[CV] c1=0.5377136947502302, c2=0.047943409405638404 ..................
[CV]  c1=0.5377136947502302, c2=0.047943409405638404, score=0.738371 -   1.4s
[CV] c1=1.4445989618078348, c2=0.04125480672674351 ...................
[CV]  c1=1.4445989618078348, c2=0.04125480672674351, score=0.759497 -   1.3s
[CV] c1=0.21734741498766483, c2=0.03368282703669698 ..................
[CV]  c1=0.21734741498766483, c2=0.03368282703669698, score=0.809383 -   1.4s
[CV] c1=0.1487952411188898, c2=0.0043690392127143296 .................
[CV]  c1=0.1487952411188898, c2=0.0043690392127143296, score=0.849063 -   1.3s
[CV] c1=0.36639563515979184, c2=0.08170318984390477 ..................
[CV]  c1=0.36639563515979184, c2=0.08170318984390477, score=0.759529 -   1.4s
[CV] c1=0.1940067810815482, c2=0.027773148604330052 ..................
[CV]  c1=0.1940067810815482, c2=0.027773148604330052, score=0.849063 -   1.3s
[CV] c1=0.794291639385627, c2=0.03521798627896993 ....................
[CV]  c1=0.794291639385627, c2=0.03521798627896993, score=0.682763 -   1.4s
[CV] c1=1.0290316730076532, c2=0.007089272799120906 ..................
[CV]  c1=1.0290316730076532, c2=0.007089272799120906, score=0.589918 -   1.5s
[CV] c1=0.3494857549044286, c2=0.000742012008891086 ..................
[CV]  c1=0.3494857549044286, c2=0.000742012008891086, score=0.724636 -   1.1s
[CV] c1=0.13343489728982943, c2=0.048487458453972794 .................
[CV]  c1=0.13343489728982943, c2=0.048487458453972794, score=0.872621 -   1.4s
[CV] c1=1.4746460435761912, c2=0.013736332463649288 ..................
[CV]  c1=1.4746460435761912, c2=0.013736332463649288, score=0.807259 -   1.4s
[CV] c1=1.7151374512212871, c2=0.035765989775859604 ..................
[CV]  c1=1.7151374512212871, c2=0.035765989775859604, score=0.544030 -   1.4s
[CV] c1=0.5377136947502302, c2=0.047943409405638404 ..................
[CV]  c1=0.5377136947502302, c2=0.047943409405638404, score=0.787866 -   1.4s
[CV] c1=0.7008758969677868, c2=0.050643582961738966 ..................
[CV]  c1=0.7008758969677868, c2=0.050643582961738966, score=0.785543 -   1.3s
[CV] c1=0.17141466605763306, c2=0.010067927290144444 .................
[CV]  c1=0.17141466605763306, c2=0.010067927290144444, score=0.826867 -   1.4s
[CV] c1=0.14635239732647912, c2=0.0667209538001761 ...................
[CV]  c1=0.14635239732647912, c2=0.0667209538001761, score=0.880872 -   1.4s
[CV] c1=0.11346954950081777, c2=0.05409869969533489 ..................
[CV]  c1=0.11346954950081777, c2=0.05409869969533489, score=0.664235 -   1.1s
[CV] c1=0.6299958911312575, c2=0.054400556373327746 ..................
[CV]  c1=0.6299958911312575, c2=0.054400556373327746, score=0.844432 -   1.3s
[CV] c1=0.794291639385627, c2=0.03521798627896993 ....................
[CV]  c1=0.794291639385627, c2=0.03521798627896993, score=0.746529 -   1.5s
[CV] c1=0.3624803351822326, c2=0.014905264079937686 ..................
[CV]  c1=0.3624803351822326, c2=0.014905264079937686, score=0.836533 -   1.4s
[CV] c1=0.3494857549044286, c2=0.000742012008891086 ..................
[CV]  c1=0.3494857549044286, c2=0.000742012008891086, score=0.808864 -   1.4s
[CV] c1=0.93321335632699, c2=0.09220960106205932 .....................
[CV]  c1=0.93321335632699, c2=0.09220960106205932, score=0.637293 -   1.1s
[CV] c1=1.4746460435761912, c2=0.013736332463649288 ..................
[CV]  c1=1.4746460435761912, c2=0.013736332463649288, score=0.753637 -   1.3s
[CV] c1=0.1622514700236731, c2=0.12867479576763124 ...................
[CV]  c1=0.1622514700236731, c2=0.12867479576763124, score=0.780299 -   1.3s
[CV] c1=0.3774513788096811, c2=0.10227451789023641 ...................
[CV]  c1=0.3774513788096811, c2=0.10227451789023641, score=0.815798 -   1.3s
[CV] c1=0.7008758969677868, c2=0.050643582961738966 ..................
[CV]  c1=0.7008758969677868, c2=0.050643582961738966, score=0.698638 -   1.4s
[CV] c1=0.09220162770738331, c2=0.02389328919645257 ..................
[CV]  c1=0.09220162770738331, c2=0.02389328919645257, score=0.876621 -   1.3s
[CV] c1=0.14635239732647912, c2=0.0667209538001761 ...................
[CV]  c1=0.14635239732647912, c2=0.0667209538001761, score=0.670009 -   1.2s
[CV] c1=0.11804180705063626, c2=0.023207772575666974 .................
[CV]  c1=0.11804180705063626, c2=0.023207772575666974, score=0.677092 -   1.1s
[CV] c1=0.9018734603938504, c2=0.06257557641493577 ...................
[CV]  c1=0.9018734603938504, c2=0.06257557641493577, score=0.644096 -   1.4s
[CV] c1=0.794291639385627, c2=0.03521798627896993 ....................
[CV]  c1=0.794291639385627, c2=0.03521798627896993, score=0.856227 -   1.4s
[CV] c1=1.0290316730076532, c2=0.007089272799120906 ..................
[CV]  c1=1.0290316730076532, c2=0.007089272799120906, score=0.843012 -   1.3s
[CV] c1=0.8183814234853697, c2=0.07136078081499835 ...................
[CV]  c1=0.8183814234853697, c2=0.07136078081499835, score=0.858504 -   1.4s
[CV] c1=0.13343489728982943, c2=0.048487458453972794 .................
[CV]  c1=0.13343489728982943, c2=0.048487458453972794, score=0.821626 -   1.4s
[CV] c1=1.4746460435761912, c2=0.013736332463649288 ..................
[CV]  c1=1.4746460435761912, c2=0.013736332463649288, score=0.544789 -   1.4s
[CV] c1=0.9337317255808594, c2=0.04917513927378528 ...................
[CV]  c1=0.9337317255808594, c2=0.04917513927378528, score=0.644096 -   1.4s
[CV] c1=0.12144503851164143, c2=0.021006105254329818 .................
[CV]  c1=0.12144503851164143, c2=0.021006105254329818, score=0.817789 -   1.4s
[CV] c1=0.020217932834204682, c2=0.0018236288472452703 ...............
[CV]  c1=0.020217932834204682, c2=0.0018236288472452703, score=0.871534 -   1.4s
[CV] c1=0.30230519915000464, c2=0.1947688114611961 ...................
[CV]  c1=0.30230519915000464, c2=0.1947688114611961, score=0.800173 -   1.3s
[CV] c1=0.23365761739224833, c2=0.014715535573616479 .................
[CV]  c1=0.23365761739224833, c2=0.014715535573616479, score=0.673203 -   1.2s
[CV] c1=0.11346954950081777, c2=0.05409869969533489 ..................
[CV]  c1=0.11346954950081777, c2=0.05409869969533489, score=0.877231 -   1.4s
[CV] c1=0.07052730812951574, c2=0.00016676003103189576 ...............
[CV]  c1=0.07052730812951574, c2=0.00016676003103189576, score=0.670524 -   1.1s
[CV] c1=0.46144793817137586, c2=0.002064242708906887 .................
[CV]  c1=0.46144793817137586, c2=0.002064242708906887, score=0.886892 -   1.4s
[CV] c1=0.3624803351822326, c2=0.014905264079937686 ..................
[CV]  c1=0.3624803351822326, c2=0.014905264079937686, score=0.792282 -   1.5s
[CV] c1=0.309887623059092, c2=0.15997960364778568 ....................
[CV]  c1=0.309887623059092, c2=0.15997960364778568, score=0.668747 -   1.1s
[CV] c1=0.2216988221741324, c2=0.07900448443167755 ...................
[CV]  c1=0.2216988221741324, c2=0.07900448443167755, score=0.661845 -   1.1s
[CV] c1=0.3712212307161401, c2=0.008767668548728557 ..................
[CV]  c1=0.3712212307161401, c2=0.008767668548728557, score=0.806420 -   1.6s
[CV] c1=1.3520098070104598, c2=0.004344812760042287 ..................
[CV]  c1=1.3520098070104598, c2=0.004344812760042287, score=0.596172 -   1.0s
[CV] c1=0.3774513788096811, c2=0.10227451789023641 ...................
[CV]  c1=0.3774513788096811, c2=0.10227451789023641, score=0.884927 -   1.3s
[CV] c1=0.7008758969677868, c2=0.050643582961738966 ..................
[CV]  c1=0.7008758969677868, c2=0.050643582961738966, score=0.646188 -   1.0s
[CV] c1=0.34822264748593224, c2=0.040304798510583495 .................
[CV]  c1=0.34822264748593224, c2=0.040304798510583495, score=0.891815 -   1.4s
[CV] c1=2.1602592693783373, c2=0.01934296248802496 ...................
[CV]  c1=2.1602592693783373, c2=0.01934296248802496, score=0.642091 -   1.2s
[CV] c1=1.289659266026323, c2=0.013880316734308354 ...................
[CV]  c1=1.289659266026323, c2=0.013880316734308354, score=0.547624 -   1.4s
[CV] c1=0.7985208901122649, c2=0.03355658633961025 ...................
[CV]  c1=0.7985208901122649, c2=0.03355658633961025, score=0.744402 -   1.3s
[CV] c1=0.4380384599426451, c2=0.1795581575462336 ....................
[CV]  c1=0.4380384599426451, c2=0.1795581575462336, score=0.817997 -   1.3s
[CV] c1=0.10597058904920846, c2=0.04072363983776384 ..................
[CV]  c1=0.10597058904920846, c2=0.04072363983776384, score=0.668281 -   1.1s
[CV] c1=0.39505731191271476, c2=0.018421316602291578 .................
[CV]  c1=0.39505731191271476, c2=0.018421316602291578, score=0.895788 -   1.3s
[CV] c1=0.7768684612679342, c2=0.07086531227476668 ...................
[CV]  c1=0.7768684612679342, c2=0.07086531227476668, score=0.790451 -   1.3s
[CV] c1=0.24987288466188656, c2=0.10025497723678918 ..................
[CV]  c1=0.24987288466188656, c2=0.10025497723678918, score=0.664245 -   1.2s
[CV] c1=0.13350512465853176, c2=0.07655091192021657 ..................
[CV]  c1=0.13350512465853176, c2=0.07655091192021657, score=0.673080 -   1.0s
[CV] c1=0.7240900718626272, c2=0.045072837262477954 ..................
[CV]  c1=0.7240900718626272, c2=0.045072837262477954, score=0.788241 -   1.3s
[CV] c1=0.8094544821223287, c2=0.030948726476086548 ..................
[CV]  c1=0.8094544821223287, c2=0.030948726476086548, score=0.858504 -   1.4s
[CV] c1=0.46121968333759017, c2=0.03568181904614628 ..................
[CV]  c1=0.46121968333759017, c2=0.03568181904614628, score=0.685769 -   1.1s
[CV] c1=0.13846463124039465, c2=0.0406012873743089 ...................
[CV]  c1=0.13846463124039465, c2=0.0406012873743089, score=0.808750 -   1.4s
[CV] c1=0.27051449104086794, c2=0.05007928044237832 ..................
[CV]  c1=0.27051449104086794, c2=0.05007928044237832, score=0.788088 -   1.4s
[CV] c1=1.289659266026323, c2=0.013880316734308354 ...................
[CV]  c1=1.289659266026323, c2=0.013880316734308354, score=0.726726 -   1.3s
[CV] c1=0.7985208901122649, c2=0.03355658633961025 ...................
[CV]  c1=0.7985208901122649, c2=0.03355658633961025, score=0.788241 -   1.3s
[CV] c1=0.4380384599426451, c2=0.1795581575462336 ....................
[CV]  c1=0.4380384599426451, c2=0.1795581575462336, score=0.658960 -   1.1s
[CV] c1=0.12755121174223397, c2=0.029985457142785166 .................
[CV]  c1=0.12755121174223397, c2=0.029985457142785166, score=0.854407 -   1.3s
[CV] c1=0.027872219211109314, c2=0.00943597200723046 .................
[CV]  c1=0.027872219211109314, c2=0.00943597200723046, score=0.782441 -   1.5s
[CV] c1=0.005309339478891387, c2=0.0285146539640478 ..................
[CV]  c1=0.005309339478891387, c2=0.0285146539640478, score=0.698619 -   1.1s
[CV] c1=0.6965380657072167, c2=0.07497642597584767 ...................
[CV]  c1=0.6965380657072167, c2=0.07497642597584767, score=0.771069 -   1.4s
[CV] c1=0.3054302827351156, c2=0.12494726951874356 ...................
[CV]  c1=0.3054302827351156, c2=0.12494726951874356, score=0.664245 -   1.0s
[CV] c1=0.1622514700236731, c2=0.12867479576763124 ...................
[CV]  c1=0.1622514700236731, c2=0.12867479576763124, score=0.667683 -   1.1s
[CV] c1=0.8094544821223287, c2=0.030948726476086548 ..................
[CV]  c1=0.8094544821223287, c2=0.030948726476086548, score=0.788241 -   1.3s
[CV] c1=0.46121968333759017, c2=0.03568181904614628 ..................
[CV]  c1=0.46121968333759017, c2=0.03568181904614628, score=0.887716 -   1.4s
[CV] c1=0.21734741498766483, c2=0.03368282703669698 ..................
[CV]  c1=0.21734741498766483, c2=0.03368282703669698, score=0.664245 -   1.1s
[CV] c1=0.27051449104086794, c2=0.05007928044237832 ..................
[CV]  c1=0.27051449104086794, c2=0.05007928044237832, score=0.817789 -   1.4s
[CV] c1=0.24833295437062813, c2=0.0628299547617024 ...................
[CV]  c1=0.24833295437062813, c2=0.0628299547617024, score=0.896380 -   1.5s
[CV] c1=0.1940067810815482, c2=0.027773148604330052 ..................
[CV]  c1=0.1940067810815482, c2=0.027773148604330052, score=0.801465 -   1.4s
[CV] c1=0.46144793817137586, c2=0.002064242708906887 .................
[CV]  c1=0.46144793817137586, c2=0.002064242708906887, score=0.694487 -   1.1s
[CV] c1=0.17238524124085594, c2=0.018648240246536205 .................
[CV]  c1=0.17238524124085594, c2=0.018648240246536205, score=0.802720 -   1.5s
[CV] c1=0.8183814234853697, c2=0.07136078081499835 ...................
[CV]  c1=0.8183814234853697, c2=0.07136078081499835, score=0.788241 -   1.4s
[CV] c1=0.13343489728982943, c2=0.048487458453972794 .................
[CV]  c1=0.13343489728982943, c2=0.048487458453972794, score=0.854407 -   1.3s
[CV] c1=0.563082571629264, c2=0.08158798775670054 ....................
[CV]  c1=0.563082571629264, c2=0.08158798775670054, score=0.849574 -   1.4s
[CV] c1=0.1107484832698745, c2=0.034635277684825376 ..................
[CV]  c1=0.1107484832698745, c2=0.034635277684825376, score=0.831592 -   1.1s
[CV] c1=1.926589879959432, c2=0.023896201187725563 ...................
[CV]  c1=1.926589879959432, c2=0.023896201187725563, score=0.699574 -   1.3s
[CV] c1=0.5713009625556333, c2=0.07312056490236737 ...................
[CV]  c1=0.5713009625556333, c2=0.07312056490236737, score=0.721528 -   1.5s
[CV] c1=0.13846463124039465, c2=0.0406012873743089 ...................
[CV]  c1=0.13846463124039465, c2=0.0406012873743089, score=0.869607 -   1.4s
[CV] c1=0.22908728091118769, c2=0.09080385296925336 ..................
[CV]  c1=0.22908728091118769, c2=0.09080385296925336, score=0.836237 -   1.6s
[CV] c1=0.24833295437062813, c2=0.0628299547617024 ...................
[CV]  c1=0.24833295437062813, c2=0.0628299547617024, score=0.664245 -   1.2s
[CV] c1=0.7985208901122649, c2=0.03355658633961025 ...................
[CV]  c1=0.7985208901122649, c2=0.03355658633961025, score=0.852075 -   1.5s
[CV] c1=0.4380384599426451, c2=0.1795581575462336 ....................
[CV]  c1=0.4380384599426451, c2=0.1795581575462336, score=0.774504 -   1.4s
[CV] c1=0.17238524124085594, c2=0.018648240246536205 .................
[CV]  c1=0.17238524124085594, c2=0.018648240246536205, score=0.819015 -   1.4s
[CV] c1=0.10166432194488502, c2=0.004330722508261123 .................
[CV]  c1=0.10166432194488502, c2=0.004330722508261123, score=0.808864 -   1.6s
[CV] c1=0.2216988221741324, c2=0.07900448443167755 ...................
[CV]  c1=0.2216988221741324, c2=0.07900448443167755, score=0.788088 -   1.5s
[CV] c1=0.563082571629264, c2=0.08158798775670054 ....................
[CV]  c1=0.563082571629264, c2=0.08158798775670054, score=0.789047 -   1.5s
[CV] c1=0.9337317255808594, c2=0.04917513927378528 ...................
[CV]  c1=0.9337317255808594, c2=0.04917513927378528, score=0.640430 -   1.0s
[CV] c1=0.8094544821223287, c2=0.030948726476086548 ..................
[CV]  c1=0.8094544821223287, c2=0.030948726476086548, score=0.668704 -   1.4s
[CV] c1=1.4445989618078348, c2=0.04125480672674351 ...................
[CV]  c1=1.4445989618078348, c2=0.04125480672674351, score=0.544789 -   1.4s
[CV] c1=0.17141466605763306, c2=0.010067927290144444 .................
[CV]  c1=0.17141466605763306, c2=0.010067927290144444, score=0.899621 -   1.4s
[CV] c1=0.5465249426524147, c2=0.03741765695594161 ...................
[CV]  c1=0.5465249426524147, c2=0.03741765695594161, score=0.655291 -   1.1s
[CV] c1=0.24833295437062813, c2=0.0628299547617024 ...................
[CV]  c1=0.24833295437062813, c2=0.0628299547617024, score=0.811645 -   1.4s
[CV] c1=0.9018734603938504, c2=0.06257557641493577 ...................
[CV]  c1=0.9018734603938504, c2=0.06257557641493577, score=0.583593 -   1.4s
[CV] c1=0.794291639385627, c2=0.03521798627896993 ....................
[CV]  c1=0.794291639385627, c2=0.03521798627896993, score=0.788241 -   1.4s
[CV] c1=0.3624803351822326, c2=0.014905264079937686 ..................
[CV]  c1=0.3624803351822326, c2=0.014905264079937686, score=0.891815 -   1.4s
[CV] c1=0.3494857549044286, c2=0.000742012008891086 ..................
[CV]  c1=0.3494857549044286, c2=0.000742012008891086, score=0.794099 -   1.4s
[CV] c1=0.93321335632699, c2=0.09220960106205932 .....................
[CV]  c1=0.93321335632699, c2=0.09220960106205932, score=0.858504 -   1.3s
[CV] c1=0.563082571629264, c2=0.08158798775670054 ....................
[CV]  c1=0.563082571629264, c2=0.08158798775670054, score=0.807819 -   1.3s
[CV] c1=0.19461409558462445, c2=0.002117537082572375 .................
[CV]  c1=0.19461409558462445, c2=0.002117537082572375, score=0.849372 -   1.2s
[CV] c1=0.5377136947502302, c2=0.047943409405638404 ..................
[CV]  c1=0.5377136947502302, c2=0.047943409405638404, score=0.655291 -   1.1s
[CV] c1=0.37753645703920896, c2=0.003986051248686333 .................
[CV]  c1=0.37753645703920896, c2=0.003986051248686333, score=0.832760 -   1.4s
[CV] c1=0.34822264748593224, c2=0.040304798510583495 .................
[CV]  c1=0.34822264748593224, c2=0.040304798510583495, score=0.808864 -   1.4s
[CV] c1=0.1487952411188898, c2=0.0043690392127143296 .................
[CV]  c1=0.1487952411188898, c2=0.0043690392127143296, score=0.821347 -   1.4s
[CV] c1=0.36639563515979184, c2=0.08170318984390477 ..................
[CV]  c1=0.36639563515979184, c2=0.08170318984390477, score=0.808987 -   1.5s
[CV] c1=0.6299958911312575, c2=0.054400556373327746 ..................
[CV]  c1=0.6299958911312575, c2=0.054400556373327746, score=0.795728 -   1.4s
[CV] c1=0.46144793817137586, c2=0.002064242708906887 .................
[CV]  c1=0.46144793817137586, c2=0.002064242708906887, score=0.785741 -   1.4s
[CV] c1=1.193480735758319, c2=0.0002612068287701516 ..................
[CV]  c1=1.193480735758319, c2=0.0002612068287701516, score=0.647775 -   1.4s
[CV] c1=0.8716458766564685, c2=0.12358670750368556 ...................
[CV]  c1=0.8716458766564685, c2=0.12358670750368556, score=0.861293 -   1.4s
[CV] c1=0.6965380657072167, c2=0.07497642597584767 ...................
[CV]  c1=0.6965380657072167, c2=0.07497642597584767, score=0.643151 -   1.3s
[CV] c1=0.7408839836416953, c2=0.05622622794800358 ...................
[CV]  c1=0.7408839836416953, c2=0.05622622794800358, score=0.762340 -   1.3s
[CV] c1=0.1622514700236731, c2=0.12867479576763124 ...................
[CV]  c1=0.1622514700236731, c2=0.12867479576763124, score=0.773364 -   1.4s
[CV] c1=0.12144503851164143, c2=0.021006105254329818 .................
[CV]  c1=0.12144503851164143, c2=0.021006105254329818, score=0.673494 -   1.1s
[CV] c1=1.4445989618078348, c2=0.04125480672674351 ...................
[CV]  c1=1.4445989618078348, c2=0.04125480672674351, score=0.600741 -   1.5s
[CV] c1=0.17141466605763306, c2=0.010067927290144444 .................
[CV]  c1=0.17141466605763306, c2=0.010067927290144444, score=0.810005 -   1.4s
[CV] c1=0.14635239732647912, c2=0.0667209538001761 ...................
[CV]  c1=0.14635239732647912, c2=0.0667209538001761, score=0.848157 -   1.3s
[CV] c1=0.11346954950081777, c2=0.05409869969533489 ..................
[CV]  c1=0.11346954950081777, c2=0.05409869969533489, score=0.854407 -   1.5s
[CV] c1=0.2952070674502585, c2=0.020971942894577374 ..................
[CV]  c1=0.2952070674502585, c2=0.020971942894577374, score=0.690725 -   1.2s
[CV] c1=0.09159252443912266, c2=0.02669728810864192 ..................
[CV]  c1=0.09159252443912266, c2=0.02669728810864192, score=0.677092 -   1.1s
[CV] c1=1.0290316730076532, c2=0.007089272799120906 ..................
[CV]  c1=1.0290316730076532, c2=0.007089272799120906, score=0.773935 -   1.4s
[CV] c1=0.8183814234853697, c2=0.07136078081499835 ...................
[CV]  c1=0.8183814234853697, c2=0.07136078081499835, score=0.669294 -   1.4s
[CV] c1=0.13343489728982943, c2=0.048487458453972794 .................
[CV]  c1=0.13343489728982943, c2=0.048487458453972794, score=0.811645 -   1.4s
[CV] c1=0.563082571629264, c2=0.08158798775670054 ....................
[CV]  c1=0.563082571629264, c2=0.08158798775670054, score=0.721528 -   1.4s
[CV] c1=1.3520098070104598, c2=0.004344812760042287 ..................
[CV]  c1=1.3520098070104598, c2=0.004344812760042287, score=0.625244 -   1.4s
[CV] c1=0.22276486445013652, c2=0.0068332765391098185 ................
[CV]  c1=0.22276486445013652, c2=0.0068332765391098185, score=0.833133 -   1.3s
[CV] c1=0.020217932834204682, c2=0.0018236288472452703 ...............
[CV]  c1=0.020217932834204682, c2=0.0018236288472452703, score=0.830102 -   1.3s
[CV] c1=0.30230519915000464, c2=0.1947688114611961 ...................
[CV]  c1=0.30230519915000464, c2=0.1947688114611961, score=0.658245 -   1.1s
[CV] c1=0.5465249426524147, c2=0.03741765695594161 ...................
[CV]  c1=0.5465249426524147, c2=0.03741765695594161, score=0.730643 -   1.4s
[CV] c1=0.11804180705063626, c2=0.023207772575666974 .................
[CV]  c1=0.11804180705063626, c2=0.023207772575666974, score=0.849063 -   1.3s
[CV] c1=0.07052730812951574, c2=0.00016676003103189576 ...............
[CV]  c1=0.07052730812951574, c2=0.00016676003103189576, score=0.878122 -   1.3s
[CV] c1=0.09159252443912266, c2=0.02669728810864192 ..................
[CV]  c1=0.09159252443912266, c2=0.02669728810864192, score=0.868446 -   1.4s
[CV] c1=1.193480735758319, c2=0.0002612068287701516 ..................
[CV]  c1=1.193480735758319, c2=0.0002612068287701516, score=0.644103 -   1.1s
[CV] c1=0.3494857549044286, c2=0.000742012008891086 ..................
[CV]  c1=0.3494857549044286, c2=0.000742012008891086, score=0.893817 -   1.4s
[CV] c1=0.2216988221741324, c2=0.07900448443167755 ...................
[CV]  c1=0.2216988221741324, c2=0.07900448443167755, score=0.829842 -   1.4s
[CV] c1=0.7408839836416953, c2=0.05622622794800358 ...................
[CV]  c1=0.7408839836416953, c2=0.05622622794800358, score=0.858504 -   1.3s
[CV] c1=0.9337317255808594, c2=0.04917513927378528 ...................
[CV]  c1=0.9337317255808594, c2=0.04917513927378528, score=0.583593 -   1.4s
[CV] c1=0.22276486445013652, c2=0.0068332765391098185 ................
[CV]  c1=0.22276486445013652, c2=0.0068332765391098185, score=0.682866 -   1.1s
[CV] c1=0.044101733520319826, c2=0.06563207304227675 .................
[CV]  c1=0.044101733520319826, c2=0.06563207304227675, score=0.868446 -   1.4s
[CV] c1=0.09220162770738331, c2=0.02389328919645257 ..................
[CV]  c1=0.09220162770738331, c2=0.02389328919645257, score=0.658040 -   1.2s
[CV] c1=0.1487952411188898, c2=0.0043690392127143296 .................
[CV]  c1=0.1487952411188898, c2=0.0043690392127143296, score=0.800276 -   1.4s
[CV] c1=0.11804180705063626, c2=0.023207772575666974 .................
[CV]  c1=0.11804180705063626, c2=0.023207772575666974, score=0.833227 -   1.4s
[CV] c1=0.6299958911312575, c2=0.054400556373327746 ..................
[CV]  c1=0.6299958911312575, c2=0.054400556373327746, score=0.774068 -   1.5s
[CV] c1=0.09159252443912266, c2=0.02669728810864192 ..................
[CV]  c1=0.09159252443912266, c2=0.02669728810864192, score=0.827656 -   1.4s
[CV] c1=1.193480735758319, c2=0.0002612068287701516 ..................
[CV]  c1=1.193480735758319, c2=0.0002612068287701516, score=0.766790 -   1.4s
[CV] c1=0.309887623059092, c2=0.15997960364778568 ....................
[CV]  c1=0.309887623059092, c2=0.15997960364778568, score=0.803974 -   1.5s
[CV] c1=0.6965380657072167, c2=0.07497642597584767 ...................
[CV]  c1=0.6965380657072167, c2=0.07497642597584767, score=0.794850 -   1.3s
[CV] c1=0.13350512465853176, c2=0.07655091192021657 ..................
[CV]  c1=0.13350512465853176, c2=0.07655091192021657, score=0.842370 -   1.2s
[CV] c1=1.7151374512212871, c2=0.035765989775859604 ..................
[CV]  c1=1.7151374512212871, c2=0.035765989775859604, score=0.775482 -   1.1s
[CV] c1=0.7715255580279015, c2=0.00204042955754918 ...................
[CV]  c1=0.7715255580279015, c2=0.00204042955754918, score=0.739766 -   1.4s
[CV] c1=0.46121968333759017, c2=0.03568181904614628 ..................
[CV]  c1=0.46121968333759017, c2=0.03568181904614628, score=0.765002 -   1.3s
[CV] c1=0.34822264748593224, c2=0.040304798510583495 .................
[CV]  c1=0.34822264748593224, c2=0.040304798510583495, score=0.770470 -   1.4s
[CV] c1=2.1602592693783373, c2=0.01934296248802496 ...................
[CV]  c1=2.1602592693783373, c2=0.01934296248802496, score=0.520453 -   1.5s
[CV] c1=0.36639563515979184, c2=0.08170318984390477 ..................
[CV]  c1=0.36639563515979184, c2=0.08170318984390477, score=0.815311 -   1.4s
[CV] c1=0.1940067810815482, c2=0.027773148604330052 ..................
[CV]  c1=0.1940067810815482, c2=0.027773148604330052, score=0.817789 -   1.4s
[CV] c1=0.46144793817137586, c2=0.002064242708906887 .................
[CV]  c1=0.46144793817137586, c2=0.002064242708906887, score=0.773869 -   1.4s
[CV] c1=1.193480735758319, c2=0.0002612068287701516 ..................
[CV]  c1=1.193480735758319, c2=0.0002612068287701516, score=0.815602 -   1.4s
[CV] c1=0.309887623059092, c2=0.15997960364778568 ....................
[CV]  c1=0.309887623059092, c2=0.15997960364778568, score=0.815798 -   1.3s
[CV] c1=0.93321335632699, c2=0.09220960106205932 .....................
[CV]  c1=0.93321335632699, c2=0.09220960106205932, score=0.768526 -   1.3s
[CV] c1=0.7408839836416953, c2=0.05622622794800358 ...................
[CV]  c1=0.7408839836416953, c2=0.05622622794800358, score=0.788241 -   1.3s
[CV] c1=0.1107484832698745, c2=0.034635277684825376 ..................
[CV]  c1=0.1107484832698745, c2=0.034635277684825376, score=0.848620 -   1.3s
[CV] c1=0.7715255580279015, c2=0.00204042955754918 ...................
[CV]  c1=0.7715255580279015, c2=0.00204042955754918, score=0.792640 -   1.3s
[CV] c1=0.37753645703920896, c2=0.003986051248686333 .................
[CV]  c1=0.37753645703920896, c2=0.003986051248686333, score=0.787725 -   1.4s
[CV] c1=0.34822264748593224, c2=0.040304798510583495 .................
[CV]  c1=0.34822264748593224, c2=0.040304798510583495, score=0.664245 -   1.0s
[CV] c1=0.22908728091118769, c2=0.09080385296925336 ..................
[CV]  c1=0.22908728091118769, c2=0.09080385296925336, score=0.663180 -   1.2s
[CV] c1=0.2222169888790155, c2=0.12888951581916516 ...................
[CV]  c1=0.2222169888790155, c2=0.12888951581916516, score=0.824634 -   1.4s
[CV] c1=0.25577677723787856, c2=0.007288094131646886 .................
[CV]  c1=0.25577677723787856, c2=0.007288094131646886, score=0.813275 -   1.4s
[CV] c1=0.33340564736502715, c2=0.023032111431327634 .................
[CV]  c1=0.33340564736502715, c2=0.023032111431327634, score=0.806059 -   1.4s
[CV] c1=0.3448292702842362, c2=0.18310822972458843 ...................
[CV]  c1=0.3448292702842362, c2=0.18310822972458843, score=0.664449 -   1.1s
[CV] c1=0.027872219211109314, c2=0.00943597200723046 .................
[CV]  c1=0.027872219211109314, c2=0.00943597200723046, score=0.681373 -   1.1s
[CV] c1=0.309887623059092, c2=0.15997960364778568 ....................
[CV]  c1=0.309887623059092, c2=0.15997960364778568, score=0.749362 -   1.4s
[CV] c1=0.6965380657072167, c2=0.07497642597584767 ...................
[CV]  c1=0.6965380657072167, c2=0.07497642597584767, score=0.858504 -   1.4s
[CV] c1=0.13350512465853176, c2=0.07655091192021657 ..................
[CV]  c1=0.13350512465853176, c2=0.07655091192021657, score=0.887301 -   1.3s
[CV] c1=0.1107484832698745, c2=0.034635277684825376 ..................
[CV]  c1=0.1107484832698745, c2=0.034635277684825376, score=0.663508 -   1.1s
[CV] c1=1.926589879959432, c2=0.023896201187725563 ...................
[CV]  c1=1.926589879959432, c2=0.023896201187725563, score=0.608089 -   1.4s
[CV] c1=0.4891288623887241, c2=0.02634200256573753 ...................
[CV]  c1=0.4891288623887241, c2=0.02634200256573753, score=0.891690 -   1.3s
[CV] c1=0.14740075619290444, c2=0.056458129273648364 .................
[CV]  c1=0.14740075619290444, c2=0.056458129273648364, score=0.811645 -   1.4s
[CV] c1=0.22908728091118769, c2=0.09080385296925336 ..................
[CV]  c1=0.22908728091118769, c2=0.09080385296925336, score=0.889420 -   1.5s
[CV] c1=0.16849681335626396, c2=0.03629809202782246 ..................
[CV]  c1=0.16849681335626396, c2=0.03629809202782246, score=0.790981 -   1.4s
[CV] c1=0.7985208901122649, c2=0.03355658633961025 ...................
[CV]  c1=0.7985208901122649, c2=0.03355658633961025, score=0.661065 -   1.1s
[CV] c1=0.33340564736502715, c2=0.023032111431327634 .................
[CV]  c1=0.33340564736502715, c2=0.023032111431327634, score=0.832083 -   1.4s
[CV] c1=0.3448292702842362, c2=0.18310822972458843 ...................
[CV]  c1=0.3448292702842362, c2=0.18310822972458843, score=0.861064 -   1.4s
[CV] c1=0.39505731191271476, c2=0.018421316602291578 .................
[CV]  c1=0.39505731191271476, c2=0.018421316602291578, score=0.770992 -   1.5s
[CV] c1=0.8963097968953715, c2=0.0452892292285878 ....................
[CV]  c1=0.8963097968953715, c2=0.0452892292285878, score=0.640430 -   1.1s
[CV] c1=1.9070673236668425, c2=0.014756146090411716 ..................
[CV]  c1=1.9070673236668425, c2=0.014756146090411716, score=0.773548 -   1.4s
[CV] c1=0.8010445989286215, c2=0.03864030671745988 ...................
[CV]  c1=0.8010445989286215, c2=0.03864030671745988, score=0.634933 -   0.9s
[CV] c1=1.3520098070104598, c2=0.004344812760042287 ..................
[CV]  c1=1.3520098070104598, c2=0.004344812760042287, score=0.726726 -   1.2s
[CV] c1=0.22276486445013652, c2=0.0068332765391098185 ................
[CV]  c1=0.22276486445013652, c2=0.0068332765391098185, score=0.898271 -   1.4s
[CV] c1=0.020217932834204682, c2=0.0018236288472452703 ...............
[CV]  c1=0.020217932834204682, c2=0.0018236288472452703, score=0.831396 -   1.5s
[CV] c1=0.30230519915000464, c2=0.1947688114611961 ...................
[CV]  c1=0.30230519915000464, c2=0.1947688114611961, score=0.788154 -   1.4s
[CV] c1=0.2222169888790155, c2=0.12888951581916516 ...................
[CV]  c1=0.2222169888790155, c2=0.12888951581916516, score=0.873559 -   1.4s
[CV] c1=0.25577677723787856, c2=0.007288094131646886 .................
[CV]  c1=0.25577677723787856, c2=0.007288094131646886, score=0.724965 -   1.1s
[CV] c1=0.07052730812951574, c2=0.00016676003103189576 ...............
[CV]  c1=0.07052730812951574, c2=0.00016676003103189576, score=0.820736 -   1.4s
[CV] c1=1.0645557588453065, c2=0.07989360658475675 ...................
[CV]  c1=1.0645557588453065, c2=0.07989360658475675, score=0.644096 -   1.4s
[CV] c1=0.43842413374831135, c2=0.05099685138898821 ..................
[CV]  c1=0.43842413374831135, c2=0.05099685138898821, score=0.818711 -   1.4s
[CV] c1=0.8716458766564685, c2=0.12358670750368556 ...................
[CV]  c1=0.8716458766564685, c2=0.12358670750368556, score=0.635441 -   1.1s
[CV] c1=0.93321335632699, c2=0.09220960106205932 .....................
[CV]  c1=0.93321335632699, c2=0.09220960106205932, score=0.644096 -   1.4s
[CV] c1=0.7408839836416953, c2=0.05622622794800358 ...................
[CV]  c1=0.7408839836416953, c2=0.05622622794800358, score=0.712831 -   1.5s
[CV] c1=1.3520098070104598, c2=0.004344812760042287 ..................
[CV]  c1=1.3520098070104598, c2=0.004344812760042287, score=0.562055 -   1.4s
[CV] c1=0.22276486445013652, c2=0.0068332765391098185 ................
[CV]  c1=0.22276486445013652, c2=0.0068332765391098185, score=0.806420 -   1.4s
[CV] c1=0.14740075619290444, c2=0.056458129273648364 .................
[CV]  c1=0.14740075619290444, c2=0.056458129273648364, score=0.895684 -   1.4s
[CV] c1=0.024280753610299608, c2=0.12148603145671973 .................
[CV]  c1=0.024280753610299608, c2=0.12148603145671973, score=0.878398 -   1.4s
[CV] c1=0.2222169888790155, c2=0.12888951581916516 ...................
[CV]  c1=0.2222169888790155, c2=0.12888951581916516, score=0.667683 -   1.1s
[CV] c1=0.01080338410165538, c2=0.019651341976812065 .................
[CV]  c1=0.01080338410165538, c2=0.019651341976812065, score=0.857381 -   1.3s
[CV] c1=0.2952070674502585, c2=0.020971942894577374 ..................
[CV]  c1=0.2952070674502585, c2=0.020971942894577374, score=0.897230 -   1.3s
[CV] c1=1.0645557588453065, c2=0.07989360658475675 ...................
[CV]  c1=1.0645557588453065, c2=0.07989360658475675, score=0.603557 -   1.1s
[CV] c1=0.3624803351822326, c2=0.014905264079937686 ..................
[CV]  c1=0.3624803351822326, c2=0.014905264079937686, score=0.802720 -   1.4s
[CV] c1=0.309887623059092, c2=0.15997960364778568 ....................
[CV]  c1=0.309887623059092, c2=0.15997960364778568, score=0.864341 -   1.2s
[CV] c1=0.2216988221741324, c2=0.07900448443167755 ...................
[CV]  c1=0.2216988221741324, c2=0.07900448443167755, score=0.790098 -   1.4s
[CV] c1=0.7408839836416953, c2=0.05622622794800358 ...................
[CV]  c1=0.7408839836416953, c2=0.05622622794800358, score=0.639235 -   1.1s
[CV] c1=0.9337317255808594, c2=0.04917513927378528 ...................
[CV]  c1=0.9337317255808594, c2=0.04917513927378528, score=0.773935 -   1.3s
[CV] c1=0.12144503851164143, c2=0.021006105254329818 .................
[CV]  c1=0.12144503851164143, c2=0.021006105254329818, score=0.895569 -   1.3s
[CV] c1=0.044101733520319826, c2=0.06563207304227675 .................
[CV]  c1=0.044101733520319826, c2=0.06563207304227675, score=0.678004 -   1.1s
[CV] c1=0.21734741498766483, c2=0.03368282703669698 ..................
[CV]  c1=0.21734741498766483, c2=0.03368282703669698, score=0.814958 -   1.4s
[CV] c1=0.5465249426524147, c2=0.03741765695594161 ...................
[CV]  c1=0.5465249426524147, c2=0.03741765695594161, score=0.773603 -   1.4s
[CV] c1=0.11346954950081777, c2=0.05409869969533489 ..................
[CV]  c1=0.11346954950081777, c2=0.05409869969533489, score=0.819991 -   1.4s
[CV] c1=0.07052730812951574, c2=0.00016676003103189576 ...............
[CV]  c1=0.07052730812951574, c2=0.00016676003103189576, score=0.820676 -   1.4s
[CV] c1=0.09159252443912266, c2=0.02669728810864192 ..................
[CV]  c1=0.09159252443912266, c2=0.02669728810864192, score=0.798730 -   1.3s
[CV] c1=1.193480735758319, c2=0.0002612068287701516 ..................
[CV]  c1=1.193480735758319, c2=0.0002612068287701516, score=0.573349 -   1.5s
[CV] c1=0.8716458766564685, c2=0.12358670750368556 ...................
[CV]  c1=0.8716458766564685, c2=0.12358670750368556, score=0.646748 -   1.4s
[CV] c1=0.6965380657072167, c2=0.07497642597584767 ...................
[CV]  c1=0.6965380657072167, c2=0.07497642597584767, score=0.705293 -   1.4s
[CV] c1=0.3054302827351156, c2=0.12494726951874356 ...................
[CV]  c1=0.3054302827351156, c2=0.12494726951874356, score=0.866792 -   1.2s
[CV] c1=1.7151374512212871, c2=0.035765989775859604 ..................
[CV]  c1=1.7151374512212871, c2=0.035765989775859604, score=0.510692 -   1.1s
[CV] c1=0.7715255580279015, c2=0.00204042955754918 ...................
[CV]  c1=0.7715255580279015, c2=0.00204042955754918, score=0.842155 -   1.4s
[CV] c1=0.37753645703920896, c2=0.003986051248686333 .................
[CV]  c1=0.37753645703920896, c2=0.003986051248686333, score=0.723301 -   1.1s
[CV] c1=0.13846463124039465, c2=0.0406012873743089 ...................
[CV]  c1=0.13846463124039465, c2=0.0406012873743089, score=0.661628 -   1.1s
[CV] c1=0.024280753610299608, c2=0.12148603145671973 .................
[CV]  c1=0.024280753610299608, c2=0.12148603145671973, score=0.790094 -   1.4s
[CV] c1=0.2222169888790155, c2=0.12888951581916516 ...................
[CV]  c1=0.2222169888790155, c2=0.12888951581916516, score=0.762680 -   1.5s
[CV] c1=0.25577677723787856, c2=0.007288094131646886 .................
[CV]  c1=0.25577677723787856, c2=0.007288094131646886, score=0.803615 -   1.4s
[CV] c1=0.7660233305362002, c2=0.1354750191892344 ....................
[CV]  c1=0.7660233305362002, c2=0.1354750191892344, score=0.674542 -   1.4s
[CV] c1=0.3448292702842362, c2=0.18310822972458843 ...................
[CV]  c1=0.3448292702842362, c2=0.18310822972458843, score=0.782655 -   1.4s
[CV] c1=0.18424694561098778, c2=0.0621286770967875 ...................
[CV]  c1=0.18424694561098778, c2=0.0621286770967875, score=0.668747 -   1.3s
[CV] c1=0.005309339478891387, c2=0.0285146539640478 ..................
[CV]  c1=0.005309339478891387, c2=0.0285146539640478, score=0.855449 -   1.3s
[CV] c1=1.9070673236668425, c2=0.014756146090411716 ..................
[CV]  c1=1.9070673236668425, c2=0.014756146090411716, score=0.502723 -   1.1s
[CV] c1=0.13350512465853176, c2=0.07655091192021657 ..................
[CV]  c1=0.13350512465853176, c2=0.07655091192021657, score=0.811645 -   1.2s
[CV] c1=0.1622514700236731, c2=0.12867479576763124 ...................
[CV]  c1=0.1622514700236731, c2=0.12867479576763124, score=0.837026 -   1.4s
[CV] c1=0.12144503851164143, c2=0.021006105254329818 .................
[CV]  c1=0.12144503851164143, c2=0.021006105254329818, score=0.826867 -   1.4s
[CV] c1=0.044101733520319826, c2=0.06563207304227675 .................
[CV]  c1=0.044101733520319826, c2=0.06563207304227675, score=0.781398 -   1.4s
[CV] c1=0.30230519915000464, c2=0.1947688114611961 ...................
[CV]  c1=0.30230519915000464, c2=0.1947688114611961, score=0.738312 -   1.4s
[CV] c1=0.23365761739224833, c2=0.014715535573616479 .................
[CV]  c1=0.23365761739224833, c2=0.014715535573616479, score=0.806420 -   1.4s
[CV] c1=0.01080338410165538, c2=0.019651341976812065 .................
[CV]  c1=0.01080338410165538, c2=0.019651341976812065, score=0.855449 -   1.3s
[CV] c1=0.2952070674502585, c2=0.020971942894577374 ..................
[CV]  c1=0.2952070674502585, c2=0.020971942894577374, score=0.796450 -   1.4s
[CV] c1=1.0645557588453065, c2=0.07989360658475675 ...................
[CV]  c1=1.0645557588453065, c2=0.07989360658475675, score=0.580601 -   1.4s
[CV] c1=0.027872219211109314, c2=0.00943597200723046 .................
[CV]  c1=0.027872219211109314, c2=0.00943597200723046, score=0.868913 -   1.4s
[CV] c1=0.7768684612679342, c2=0.07086531227476668 ...................
[CV]  c1=0.7768684612679342, c2=0.07086531227476668, score=0.851373 -   1.4s
[CV] c1=0.24987288466188656, c2=0.10025497723678918 ..................
[CV]  c1=0.24987288466188656, c2=0.10025497723678918, score=0.831029 -   1.3s
[CV] c1=0.3054302827351156, c2=0.12494726951874356 ...................
[CV]  c1=0.3054302827351156, c2=0.12494726951874356, score=0.749362 -   1.2s
[CV] c1=0.9337317255808594, c2=0.04917513927378528 ...................
[CV]  c1=0.9337317255808594, c2=0.04917513927378528, score=0.858504 -   1.4s
[CV] c1=0.12144503851164143, c2=0.021006105254329818 .................
[CV]  c1=0.12144503851164143, c2=0.021006105254329818, score=0.854407 -   1.3s
[CV] c1=0.044101733520319826, c2=0.06563207304227675 .................
[CV]  c1=0.044101733520319826, c2=0.06563207304227675, score=0.830028 -   1.4s
[CV] c1=0.09220162770738331, c2=0.02389328919645257 ..................
[CV]  c1=0.09220162770738331, c2=0.02389328919645257, score=0.817789 -   1.4s
[CV] c1=0.23365761739224833, c2=0.014715535573616479 .................
[CV]  c1=0.23365761739224833, c2=0.014715535573616479, score=0.905427 -   1.4s
[CV] c1=0.01080338410165538, c2=0.019651341976812065 .................
[CV]  c1=0.01080338410165538, c2=0.019651341976812065, score=0.823337 -   1.4s
[CV] c1=0.2952070674502585, c2=0.020971942894577374 ..................
[CV]  c1=0.2952070674502585, c2=0.020971942894577374, score=0.832659 -   1.3s
[CV] c1=1.0645557588453065, c2=0.07989360658475675 ...................
[CV]  c1=1.0645557588453065, c2=0.07989360658475675, score=0.766790 -   1.4s
[CV] c1=0.43842413374831135, c2=0.05099685138898821 ..................
[CV]  c1=0.43842413374831135, c2=0.05099685138898821, score=0.808987 -   1.5s
[CV] c1=0.7768684612679342, c2=0.07086531227476668 ...................
[CV]  c1=0.7768684612679342, c2=0.07086531227476668, score=0.694718 -   1.4s
[CV] c1=0.24987288466188656, c2=0.10025497723678918 ..................
[CV]  c1=0.24987288466188656, c2=0.10025497723678918, score=0.806269 -   1.5s
[CV] c1=0.8010445989286215, c2=0.03864030671745988 ...................
[CV]  c1=0.8010445989286215, c2=0.03864030671745988, score=0.788241 -   1.1s
[CV] c1=0.7058131788911408, c2=0.1075766077565231 ....................
[CV]  c1=0.7058131788911408, c2=0.1075766077565231, score=0.790451 -   1.1s
[CV] c1=1.926589879959432, c2=0.023896201187725563 ...................
[CV]  c1=1.926589879959432, c2=0.023896201187725563, score=0.499756 -   1.2s
[CV] c1=0.5713009625556333, c2=0.07312056490236737 ...................
[CV]  c1=0.5713009625556333, c2=0.07312056490236737, score=0.865479 -   1.4s
[CV] c1=0.14740075619290444, c2=0.056458129273648364 .................
[CV]  c1=0.14740075619290444, c2=0.056458129273648364, score=0.662455 -   1.1s
[CV] c1=0.30230519915000464, c2=0.1947688114611961 ...................
[CV]  c1=0.30230519915000464, c2=0.1947688114611961, score=0.863480 -   1.4s
[CV] c1=0.23365761739224833, c2=0.014715535573616479 .................
[CV]  c1=0.23365761739224833, c2=0.014715535573616479, score=0.817659 -   1.4s
[CV] c1=0.01080338410165538, c2=0.019651341976812065 .................
[CV]  c1=0.01080338410165538, c2=0.019651341976812065, score=0.782954 -   1.5s
[CV] c1=0.33340564736502715, c2=0.023032111431327634 .................
[CV]  c1=0.33340564736502715, c2=0.023032111431327634, score=0.897230 -   1.4s
[CV] c1=0.12755121174223397, c2=0.029985457142785166 .................
[CV]  c1=0.12755121174223397, c2=0.029985457142785166, score=0.819299 -   1.4s
[CV] c1=0.027872219211109314, c2=0.00943597200723046 .................
[CV]  c1=0.027872219211109314, c2=0.00943597200723046, score=0.824758 -   1.4s
[CV] c1=0.7768684612679342, c2=0.07086531227476668 ...................
[CV]  c1=0.7768684612679342, c2=0.07086531227476668, score=0.639235 -   1.1s
[CV] c1=0.93321335632699, c2=0.09220960106205932 .....................
[CV]  c1=0.93321335632699, c2=0.09220960106205932, score=0.580601 -   1.5s
[CV] c1=0.13350512465853176, c2=0.07655091192021657 ..................
[CV]  c1=0.13350512465853176, c2=0.07655091192021657, score=0.791049 -   1.4s
[CV] c1=0.7058131788911408, c2=0.1075766077565231 ....................
[CV]  c1=0.7058131788911408, c2=0.1075766077565231, score=0.850861 -   1.3s
[CV] c1=0.2038838077613194, c2=0.032161437326262005 ..................
[CV]  c1=0.2038838077613194, c2=0.032161437326262005, score=0.895684 -   1.4s
[CV] c1=0.4891288623887241, c2=0.02634200256573753 ...................
[CV]  c1=0.4891288623887241, c2=0.02634200256573753, score=0.680736 -   1.2s
[CV] c1=0.14740075619290444, c2=0.056458129273648364 .................
[CV]  c1=0.14740075619290444, c2=0.056458129273648364, score=0.841718 -   1.5s
[CV] c1=0.22908728091118769, c2=0.09080385296925336 ..................
[CV]  c1=0.22908728091118769, c2=0.09080385296925336, score=0.788088 -   1.5s
[CV] c1=1.289659266026323, c2=0.013880316734308354 ...................
[CV]  c1=1.289659266026323, c2=0.013880316734308354, score=0.638428 -   1.5s
[CV] c1=0.9018734603938504, c2=0.06257557641493577 ...................
[CV]  c1=0.9018734603938504, c2=0.06257557641493577, score=0.640430 -   1.1s
[CV] c1=0.7660233305362002, c2=0.1354750191892344 ....................
[CV]  c1=0.7660233305362002, c2=0.1354750191892344, score=0.679094 -   1.5s
[CV] c1=0.10597058904920846, c2=0.04072363983776384 ..................
[CV]  c1=0.10597058904920846, c2=0.04072363983776384, score=0.820447 -   1.4s
[CV] c1=0.10166432194488502, c2=0.004330722508261123 .................
[CV]  c1=0.10166432194488502, c2=0.004330722508261123, score=0.870694 -   1.4s
[CV] c1=0.34539245313134287, c2=0.04999330176316713 ..................
[CV]  c1=0.34539245313134287, c2=0.04999330176316713, score=0.817789 -   1.5s
[CV] c1=1.4746460435761912, c2=0.013736332463649288 ..................
[CV]  c1=1.4746460435761912, c2=0.013736332463649288, score=0.600741 -   1.4s
[CV] c1=0.7058131788911408, c2=0.1075766077565231 ....................
[CV]  c1=0.7058131788911408, c2=0.1075766077565231, score=0.639235 -   0.9s
[CV] c1=1.926589879959432, c2=0.023896201187725563 ...................
[CV]  c1=1.926589879959432, c2=0.023896201187725563, score=0.773548 -   1.4s
[CV] c1=0.5713009625556333, c2=0.07312056490236737 ...................
[CV]  c1=0.5713009625556333, c2=0.07312056490236737, score=0.659964 -   1.2s
[CV] c1=0.020217932834204682, c2=0.0018236288472452703 ...............
[CV]  c1=0.020217932834204682, c2=0.0018236288472452703, score=0.784129 -   1.5s
[CV] c1=0.024280753610299608, c2=0.12148603145671973 .................
[CV]  c1=0.024280753610299608, c2=0.12148603145671973, score=0.683647 -   1.2s
[CV] c1=0.23365761739224833, c2=0.014715535573616479 .................
[CV]  c1=0.23365761739224833, c2=0.014715535573616479, score=0.842181 -   1.5s
[CV] c1=0.25577677723787856, c2=0.007288094131646886 .................
[CV]  c1=0.25577677723787856, c2=0.007288094131646886, score=0.903328 -   1.5s
[CV] c1=0.33340564736502715, c2=0.023032111431327634 .................
[CV]  c1=0.33340564736502715, c2=0.023032111431327634, score=0.705792 -   1.1s
[CV] c1=1.0645557588453065, c2=0.07989360658475675 ...................
[CV]  c1=1.0645557588453065, c2=0.07989360658475675, score=0.822842 -   1.4s
[CV] c1=0.43842413374831135, c2=0.05099685138898821 ..................
[CV]  c1=0.43842413374831135, c2=0.05099685138898821, score=0.885344 -   1.4s
[CV] c1=0.8716458766564685, c2=0.12358670750368556 ...................
[CV]  c1=0.8716458766564685, c2=0.12358670750368556, score=0.630017 -   1.5s
[CV] c1=0.24987288466188656, c2=0.10025497723678918 ..................
[CV]  c1=0.24987288466188656, c2=0.10025497723678918, score=0.782563 -   1.4s
[CV] c1=0.8010445989286215, c2=0.03864030671745988 ...................
[CV]  c1=0.8010445989286215, c2=0.03864030671745988, score=0.858504 -   1.1s
[CV] c1=1.3520098070104598, c2=0.004344812760042287 ..................
[CV]  c1=1.3520098070104598, c2=0.004344812760042287, score=0.811219 -   1.4s
[CV] c1=0.22276486445013652, c2=0.0068332765391098185 ................
[CV]  c1=0.22276486445013652, c2=0.0068332765391098185, score=0.819652 -   1.3s
[CV] c1=0.020217932834204682, c2=0.0018236288472452703 ...............
[CV]  c1=0.020217932834204682, c2=0.0018236288472452703, score=0.678506 -   1.1s
[CV] c1=0.17141466605763306, c2=0.010067927290144444 .................
[CV]  c1=0.17141466605763306, c2=0.010067927290144444, score=0.838288 -   1.3s
[CV] c1=0.5465249426524147, c2=0.03741765695594161 ...................
[CV]  c1=0.5465249426524147, c2=0.03741765695594161, score=0.803092 -   1.2s
[CV] c1=0.11804180705063626, c2=0.023207772575666974 .................
[CV]  c1=0.11804180705063626, c2=0.023207772575666974, score=0.891659 -   1.4s
[CV] c1=0.6299958911312575, c2=0.054400556373327746 ..................
[CV]  c1=0.6299958911312575, c2=0.054400556373327746, score=0.657591 -   1.1s
[CV] c1=1.094086342906563, c2=0.010228319364096345 ...................
[CV]  c1=1.094086342906563, c2=0.010228319364096345, score=0.581748 -   1.4s
[CV] c1=1.0290316730076532, c2=0.007089272799120906 ..................
[CV]  c1=1.0290316730076532, c2=0.007089272799120906, score=0.655761 -   1.4s
[CV] c1=0.8183814234853697, c2=0.07136078081499835 ...................
[CV]  c1=0.8183814234853697, c2=0.07136078081499835, score=0.676232 -   1.3s
[CV] c1=0.13343489728982943, c2=0.048487458453972794 .................
[CV]  c1=0.13343489728982943, c2=0.048487458453972794, score=0.671846 -   1.1s
[CV] c1=0.3712212307161401, c2=0.008767668548728557 ..................
[CV]  c1=0.3712212307161401, c2=0.008767668548728557, score=0.886273 -   1.4s
[CV] c1=0.21475143178322748, c2=0.006927721636114751 .................
[CV]  c1=0.21475143178322748, c2=0.006927721636114751, score=0.679035 -   0.8s
[CV] c1=1.7151374512212871, c2=0.035765989775859604 ..................
[CV]  c1=1.7151374512212871, c2=0.035765989775859604, score=0.596132 -   1.4s
[CV] c1=0.5377136947502302, c2=0.047943409405638404 ..................
[CV]  c1=0.5377136947502302, c2=0.047943409405638404, score=0.867362 -   1.4s
[CV] c1=1.4445989618078348, c2=0.04125480672674351 ...................
[CV]  c1=1.4445989618078348, c2=0.04125480672674351, score=0.792666 -   1.1s
[CV] c1=0.7322128632124849, c2=0.005651707514811783 ..................
[CV]  c1=0.7322128632124849, c2=0.005651707514811783, score=0.753995 -   1.4s
[CV] c1=2.1602592693783373, c2=0.01934296248802496 ...................
[CV]  c1=2.1602592693783373, c2=0.01934296248802496, score=0.490546 -   1.2s
[CV] c1=0.16849681335626396, c2=0.03629809202782246 ..................
[CV]  c1=0.16849681335626396, c2=0.03629809202782246, score=0.847751 -   1.3s
[CV] c1=0.057540793750617485, c2=0.059330187772223666 ................
[CV]  c1=0.057540793750617485, c2=0.059330187772223666, score=0.844126 -   1.3s
[CV] c1=0.7660233305362002, c2=0.1354750191892344 ....................
[CV]  c1=0.7660233305362002, c2=0.1354750191892344, score=0.790451 -   1.3s
[CV] c1=0.3448292702842362, c2=0.18310822972458843 ...................
[CV]  c1=0.3448292702842362, c2=0.18310822972458843, score=0.725866 -   1.5s
[CV] c1=0.18424694561098778, c2=0.0621286770967875 ...................
[CV]  c1=0.18424694561098778, c2=0.0621286770967875, score=0.842813 -   1.3s
[CV] c1=0.8963097968953715, c2=0.0452892292285878 ....................
[CV]  c1=0.8963097968953715, c2=0.0452892292285878, score=0.852075 -   1.3s
[CV] c1=1.496650691941825, c2=0.05814471474381792 ....................
[CV]  c1=1.496650691941825, c2=0.05814471474381792, score=0.525559 -   1.1s
[CV] c1=0.3054302827351156, c2=0.12494726951874356 ...................
[CV]  c1=0.3054302827351156, c2=0.12494726951874356, score=0.808987 -   1.2s
[CV] c1=0.1107484832698745, c2=0.034635277684825376 ..................
[CV]  c1=0.1107484832698745, c2=0.034635277684825376, score=0.876621 -   1.3s
[CV] c1=0.2038838077613194, c2=0.032161437326262005 ..................
[CV]  c1=0.2038838077613194, c2=0.032161437326262005, score=0.799138 -   1.4s
[CV] c1=0.4891288623887241, c2=0.02634200256573753 ...................
[CV]  c1=0.4891288623887241, c2=0.02634200256573753, score=0.782960 -   1.4s
[CV] c1=0.7322128632124849, c2=0.005651707514811783 ..................
[CV]  c1=0.7322128632124849, c2=0.005651707514811783, score=0.682763 -   1.5s
[CV] c1=2.1602592693783373, c2=0.01934296248802496 ...................
[CV]  c1=2.1602592693783373, c2=0.01934296248802496, score=0.608089 -   1.5s
[CV] c1=0.36639563515979184, c2=0.08170318984390477 ..................
[CV]  c1=0.36639563515979184, c2=0.08170318984390477, score=0.664245 -   1.1s
[CV] c1=0.057540793750617485, c2=0.059330187772223666 ................
[CV]  c1=0.057540793750617485, c2=0.059330187772223666, score=0.785099 -   1.5s
[CV] c1=1.094086342906563, c2=0.010228319364096345 ...................
[CV]  c1=1.094086342906563, c2=0.010228319364096345, score=0.641674 -   1.1s
[CV] c1=0.10597058904920846, c2=0.04072363983776384 ..................
[CV]  c1=0.10597058904920846, c2=0.04072363983776384, score=0.886023 -   1.4s
[CV] c1=0.18424694561098778, c2=0.0621286770967875 ...................
[CV]  c1=0.18424694561098778, c2=0.0621286770967875, score=0.882690 -   1.4s
[CV] c1=0.8963097968953715, c2=0.0452892292285878 ....................
[CV]  c1=0.8963097968953715, c2=0.0452892292285878, score=0.773935 -   1.3s
[CV] c1=1.496650691941825, c2=0.05814471474381792 ....................
[CV]  c1=1.496650691941825, c2=0.05814471474381792, score=0.600741 -   1.3s
[CV] c1=0.09344715466522907, c2=0.1110646056643317 ...................
[CV]  c1=0.09344715466522907, c2=0.1110646056643317, score=0.678685 -   1.0s
[CV] c1=0.19461409558462445, c2=0.002117537082572375 .................
[CV]  c1=0.19461409558462445, c2=0.002117537082572375, score=0.817851 -   1.4s
[CV] c1=0.3774513788096811, c2=0.10227451789023641 ...................
[CV]  c1=0.3774513788096811, c2=0.10227451789023641, score=0.664245 -   1.1s
[CV] c1=0.46121968333759017, c2=0.03568181904614628 ..................
[CV]  c1=0.46121968333759017, c2=0.03568181904614628, score=0.811828 -   1.3s
[CV] c1=0.34822264748593224, c2=0.040304798510583495 .................
[CV]  c1=0.34822264748593224, c2=0.040304798510583495, score=0.835598 -   1.3s
[CV] c1=2.1602592693783373, c2=0.01934296248802496 ...................
[CV]  c1=2.1602592693783373, c2=0.01934296248802496, score=0.767398 -   1.4s
[CV] c1=0.24833295437062813, c2=0.0628299547617024 ...................
[CV]  c1=0.24833295437062813, c2=0.0628299547617024, score=0.788088 -   1.5s
[CV] c1=0.1940067810815482, c2=0.027773148604330052 ..................
[CV]  c1=0.1940067810815482, c2=0.027773148604330052, score=0.659704 -   1.2s
[CV] c1=1.094086342906563, c2=0.010228319364096345 ...................
[CV]  c1=1.094086342906563, c2=0.010228319364096345, score=0.824530 -   1.4s
[CV] c1=0.17238524124085594, c2=0.018648240246536205 .................
[CV]  c1=0.17238524124085594, c2=0.018648240246536205, score=0.660439 -   1.1s
[CV] c1=0.39505731191271476, c2=0.018421316602291578 .................
[CV]  c1=0.39505731191271476, c2=0.018421316602291578, score=0.826326 -   1.3s
[CV] c1=0.005309339478891387, c2=0.0285146539640478 ..................
[CV]  c1=0.005309339478891387, c2=0.0285146539640478, score=0.831600 -   1.4s
[CV] c1=1.9070673236668425, c2=0.014756146090411716 ..................
[CV]  c1=1.9070673236668425, c2=0.014756146090411716, score=0.699574 -   1.3s
[CV] c1=0.8010445989286215, c2=0.03864030671745988 ...................
[CV]  c1=0.8010445989286215, c2=0.03864030671745988, score=0.690301 -   1.2s
[CV] c1=0.1107484832698745, c2=0.034635277684825376 ..................
[CV]  c1=0.1107484832698745, c2=0.034635277684825376, score=0.786611 -   1.5s
[CV] c1=0.8094544821223287, c2=0.030948726476086548 ..................
[CV]  c1=0.8094544821223287, c2=0.030948726476086548, score=0.693098 -   1.4s
[CV] c1=0.46121968333759017, c2=0.03568181904614628 ..................
[CV]  c1=0.46121968333759017, c2=0.03568181904614628, score=0.800707 -   1.4s
[CV] c1=0.21734741498766483, c2=0.03368282703669698 ..................
[CV]  c1=0.21734741498766483, c2=0.03368282703669698, score=0.836418 -   1.4s
[CV] c1=0.5465249426524147, c2=0.03741765695594161 ...................
[CV]  c1=0.5465249426524147, c2=0.03741765695594161, score=0.880957 -   1.5s
[CV] c1=0.11804180705063626, c2=0.023207772575666974 .................
[CV]  c1=0.11804180705063626, c2=0.023207772575666974, score=0.811645 -   1.5s
[CV] c1=0.07052730812951574, c2=0.00016676003103189576 ...............
[CV]  c1=0.07052730812951574, c2=0.00016676003103189576, score=0.837777 -   1.4s
[CV] c1=0.09159252443912266, c2=0.02669728810864192 ..................
[CV]  c1=0.09159252443912266, c2=0.02669728810864192, score=0.792756 -   1.4s
[CV] c1=0.43842413374831135, c2=0.05099685138898821 ..................
[CV]  c1=0.43842413374831135, c2=0.05099685138898821, score=0.759891 -   1.4s
[CV] c1=0.8716458766564685, c2=0.12358670750368556 ...................
[CV]  c1=0.8716458766564685, c2=0.12358670750368556, score=0.742872 -   1.4s
[CV] c1=0.24987288466188656, c2=0.10025497723678918 ..................
[CV]  c1=0.24987288466188656, c2=0.10025497723678918, score=0.883210 -   1.4s
[CV] c1=0.3054302827351156, c2=0.12494726951874356 ...................
[CV]  c1=0.3054302827351156, c2=0.12494726951874356, score=0.815798 -   1.3s
[CV] c1=0.7240900718626272, c2=0.045072837262477954 ..................
[CV]  c1=0.7240900718626272, c2=0.045072837262477954, score=0.761650 -   1.5s
[CV] c1=0.5377136947502302, c2=0.047943409405638404 ..................
[CV]  c1=0.5377136947502302, c2=0.047943409405638404, score=0.812189 -   1.3s
[CV] c1=1.4445989618078348, c2=0.04125480672674351 ...................
[CV]  c1=1.4445989618078348, c2=0.04125480672674351, score=0.592046 -   1.1s
[CV] c1=0.7322128632124849, c2=0.005651707514811783 ..................
[CV]  c1=0.7322128632124849, c2=0.005651707514811783, score=0.639876 -   1.1s
[CV] c1=0.024280753610299608, c2=0.12148603145671973 .................
[CV]  c1=0.024280753610299608, c2=0.12148603145671973, score=0.844126 -   1.4s
[CV] c1=0.16849681335626396, c2=0.03629809202782246 ..................
[CV]  c1=0.16849681335626396, c2=0.03629809202782246, score=0.884246 -   1.4s
[CV] c1=0.057540793750617485, c2=0.059330187772223666 ................
[CV]  c1=0.057540793750617485, c2=0.059330187772223666, score=0.826880 -   1.4s
[CV] c1=0.4380384599426451, c2=0.1795581575462336 ....................
[CV]  c1=0.4380384599426451, c2=0.1795581575462336, score=0.864612 -   1.4s
[CV] c1=0.10597058904920846, c2=0.04072363983776384 ..................
[CV]  c1=0.10597058904920846, c2=0.04072363983776384, score=0.805153 -   1.4s
[CV] c1=0.18424694561098778, c2=0.0621286770967875 ...................
[CV]  c1=0.18424694561098778, c2=0.0621286770967875, score=0.811645 -   1.5s
[CV] c1=0.34539245313134287, c2=0.04999330176316713 ..................
[CV]  c1=0.34539245313134287, c2=0.04999330176316713, score=0.664245 -   1.1s
[CV] c1=1.496650691941825, c2=0.05814471474381792 ....................
[CV]  c1=1.496650691941825, c2=0.05814471474381792, score=0.799222 -   1.3s
[CV] c1=0.09344715466522907, c2=0.1110646056643317 ...................
[CV]  c1=0.09344715466522907, c2=0.1110646056643317, score=0.882049 -   1.1s
[CV] c1=0.7240900718626272, c2=0.045072837262477954 ..................
[CV]  c1=0.7240900718626272, c2=0.045072837262477954, score=0.692066 -   1.2s
[CV] c1=0.2038838077613194, c2=0.032161437326262005 ..................
[CV]  c1=0.2038838077613194, c2=0.032161437326262005, score=0.668577 -   1.2s
[CV] c1=0.5713009625556333, c2=0.07312056490236737 ...................
[CV]  c1=0.5713009625556333, c2=0.07312056490236737, score=0.818008 -   1.3s
[CV] c1=0.14740075619290444, c2=0.056458129273648364 .................
[CV]  c1=0.14740075619290444, c2=0.056458129273648364, score=0.801470 -   1.4s
[CV] c1=0.024280753610299608, c2=0.12148603145671973 .................
[CV]  c1=0.024280753610299608, c2=0.12148603145671973, score=0.775025 -   1.5s
[CV] c1=0.16849681335626396, c2=0.03629809202782246 ..................
[CV]  c1=0.16849681335626396, c2=0.03629809202782246, score=0.674270 -   1.2s
[CV] c1=0.25577677723787856, c2=0.007288094131646886 .................
[CV]  c1=0.25577677723787856, c2=0.007288094131646886, score=0.812207 -   1.4s
[CV] c1=0.7660233305362002, c2=0.1354750191892344 ....................
[CV]  c1=0.7660233305362002, c2=0.1354750191892344, score=0.858504 -   1.4s
[CV] c1=0.3448292702842362, c2=0.18310822972458843 ...................
[CV]  c1=0.3448292702842362, c2=0.18310822972458843, score=0.800173 -   1.3s
[CV] c1=0.39505731191271476, c2=0.018421316602291578 .................
[CV]  c1=0.39505731191271476, c2=0.018421316602291578, score=0.811583 -   1.5s
[CV] c1=0.8963097968953715, c2=0.0452892292285878 ....................
[CV]  c1=0.8963097968953715, c2=0.0452892292285878, score=0.664415 -   1.4s
[CV] c1=0.3712212307161401, c2=0.008767668548728557 ..................
[CV]  c1=0.3712212307161401, c2=0.008767668548728557, score=0.707670 -   1.1s
[CV] c1=0.8010445989286215, c2=0.03864030671745988 ...................
[CV]  c1=0.8010445989286215, c2=0.03864030671745988, score=0.665475 -   1.1s
[CV] c1=0.19461409558462445, c2=0.002117537082572375 .................
[CV]  c1=0.19461409558462445, c2=0.002117537082572375, score=0.706492 -   1.2s
[CV] c1=0.7715255580279015, c2=0.00204042955754918 ...................
[CV]  c1=0.7715255580279015, c2=0.00204042955754918, score=0.741589 -   1.4s
[CV] c1=0.37753645703920896, c2=0.003986051248686333 .................
[CV]  c1=0.37753645703920896, c2=0.003986051248686333, score=0.806059 -   1.4s
[CV] c1=0.21734741498766483, c2=0.03368282703669698 ..................
[CV]  c1=0.21734741498766483, c2=0.03368282703669698, score=0.895684 -   1.4s
[CV] c1=0.1487952411188898, c2=0.0043690392127143296 .................
[CV]  c1=0.1487952411188898, c2=0.0043690392127143296, score=0.908212 -   1.3s
[CV] c1=0.36639563515979184, c2=0.08170318984390477 ..................
[CV]  c1=0.36639563515979184, c2=0.08170318984390477, score=0.882794 -   1.4s
[CV] c1=0.1940067810815482, c2=0.027773148604330052 ..................
[CV]  c1=0.1940067810815482, c2=0.027773148604330052, score=0.899621 -   1.3s
[CV] c1=0.794291639385627, c2=0.03521798627896993 ....................
[CV]  c1=0.794291639385627, c2=0.03521798627896993, score=0.634933 -   1.1s
[CV] c1=0.10597058904920846, c2=0.04072363983776384 ..................
[CV]  c1=0.10597058904920846, c2=0.04072363983776384, score=0.848620 -   1.3s
[CV] c1=0.18424694561098778, c2=0.0621286770967875 ...................
[CV]  c1=0.18424694561098778, c2=0.0621286770967875, score=0.799138 -   1.4s
[CV] c1=0.34539245313134287, c2=0.04999330176316713 ..................
[CV]  c1=0.34539245313134287, c2=0.04999330176316713, score=0.889681 -   1.3s
[CV] c1=1.496650691941825, c2=0.05814471474381792 ....................
[CV]  c1=1.496650691941825, c2=0.05814471474381792, score=0.715630 -   1.3s
[CV] c1=0.09344715466522907, c2=0.1110646056643317 ...................
[CV]  c1=0.09344715466522907, c2=0.1110646056643317, score=0.842370 -   1.0s
[CV] c1=0.7058131788911408, c2=0.1075766077565231 ....................
[CV]  c1=0.7058131788911408, c2=0.1075766077565231, score=0.705293 -   1.3s
[CV] c1=0.2038838077613194, c2=0.032161437326262005 ..................
[CV]  c1=0.2038838077613194, c2=0.032161437326262005, score=0.811645 -   1.8s
[CV] c1=0.7008758969677868, c2=0.050643582961738966 ..................
[CV]  c1=0.7008758969677868, c2=0.050643582961738966, score=0.850861 -   1.4s
[CV] c1=0.17141466605763306, c2=0.010067927290144444 .................
[CV]  c1=0.17141466605763306, c2=0.010067927290144444, score=0.672912 -   1.2s
[CV] c1=0.1487952411188898, c2=0.0043690392127143296 .................
[CV]  c1=0.1487952411188898, c2=0.0043690392127143296, score=0.697984 -   1.2s
[CV] c1=0.24833295437062813, c2=0.0628299547617024 ...................
[CV]  c1=0.24833295437062813, c2=0.0628299547617024, score=0.829355 -   1.4s
[CV] c1=0.9018734603938504, c2=0.06257557641493577 ...................
[CV]  c1=0.9018734603938504, c2=0.06257557641493577, score=0.773935 -   1.3s
[CV] c1=1.094086342906563, c2=0.010228319364096345 ...................
[CV]  c1=1.094086342906563, c2=0.010228319364096345, score=0.772199 -   1.4s
[CV] c1=0.17238524124085594, c2=0.018648240246536205 .................
[CV]  c1=0.17238524124085594, c2=0.018648240246536205, score=0.842668 -   1.3s
[CV] c1=0.10166432194488502, c2=0.004330722508261123 .................
[CV]  c1=0.10166432194488502, c2=0.004330722508261123, score=0.837777 -   1.3s
[CV] c1=0.34539245313134287, c2=0.04999330176316713 ..................
[CV]  c1=0.34539245313134287, c2=0.04999330176316713, score=0.763981 -   1.5s
[CV] c1=1.4746460435761912, c2=0.013736332463649288 ..................
[CV]  c1=1.4746460435761912, c2=0.013736332463649288, score=0.588014 -   1.1s
[CV] c1=0.09344715466522907, c2=0.1110646056643317 ...................
[CV]  c1=0.09344715466522907, c2=0.1110646056643317, score=0.781398 -   1.0s
[CV] c1=0.1622514700236731, c2=0.12867479576763124 ...................
[CV]  c1=0.1622514700236731, c2=0.12867479576763124, score=0.873829 -   1.4s
[CV] c1=0.3774513788096811, c2=0.10227451789023641 ...................
[CV]  c1=0.3774513788096811, c2=0.10227451789023641, score=0.741824 -   1.3s
[CV] c1=0.7008758969677868, c2=0.050643582961738966 ..................
[CV]  c1=0.7008758969677868, c2=0.050643582961738966, score=0.761650 -   1.4s
[CV] c1=0.09220162770738331, c2=0.02389328919645257 ..................
[CV]  c1=0.09220162770738331, c2=0.02389328919645257, score=0.849913 -   1.3s
[CV] c1=0.14635239732647912, c2=0.0667209538001761 ...................
[CV]  c1=0.14635239732647912, c2=0.0667209538001761, score=0.801470 -   1.4s
[CV] c1=0.11346954950081777, c2=0.05409869969533489 ..................
[CV]  c1=0.11346954950081777, c2=0.05409869969533489, score=0.814302 -   1.5s
[CV] c1=0.2952070674502585, c2=0.020971942894577374 ..................
[CV]  c1=0.2952070674502585, c2=0.020971942894577374, score=0.799915 -   1.4s
[CV] c1=0.12755121174223397, c2=0.029985457142785166 .................
[CV]  c1=0.12755121174223397, c2=0.029985457142785166, score=0.896269 -   1.4s
[CV] c1=0.027872219211109314, c2=0.00943597200723046 .................
[CV]  c1=0.027872219211109314, c2=0.00943597200723046, score=0.833464 -   1.5s
[CV] c1=0.005309339478891387, c2=0.0285146539640478 ..................
[CV]  c1=0.005309339478891387, c2=0.0285146539640478, score=0.854846 -   1.5s
[CV] c1=1.9070673236668425, c2=0.014756146090411716 ..................
[CV]  c1=1.9070673236668425, c2=0.014756146090411716, score=0.608089 -   1.5s
[CV] c1=0.09344715466522907, c2=0.1110646056643317 ...................
[CV]  c1=0.09344715466522907, c2=0.1110646056643317, score=0.793313 -   1.1s
[CV] c1=0.7058131788911408, c2=0.1075766077565231 ....................
[CV]  c1=0.7058131788911408, c2=0.1075766077565231, score=0.778384 -   1.3s
[CV] c1=0.7715255580279015, c2=0.00204042955754918 ...................
[CV]  c1=0.7715255580279015, c2=0.00204042955754918, score=0.661480 -   1.1s
[CV] c1=0.5713009625556333, c2=0.07312056490236737 ...................
[CV]  c1=0.5713009625556333, c2=0.07312056490236737, score=0.773196 -   1.4s
[CV] c1=0.13846463124039465, c2=0.0406012873743089 ...................
[CV]  c1=0.13846463124039465, c2=0.0406012873743089, score=0.825309 -   1.4s
[CV] c1=0.27051449104086794, c2=0.05007928044237832 ..................
[CV]  c1=0.27051449104086794, c2=0.05007928044237832, score=0.889442 -   1.4s
[CV] c1=1.289659266026323, c2=0.013880316734308354 ...................
[CV]  c1=1.289659266026323, c2=0.013880316734308354, score=0.599525 -   1.2s
[CV] c1=0.057540793750617485, c2=0.059330187772223666 ................
[CV]  c1=0.057540793750617485, c2=0.059330187772223666, score=0.671078 -   1.2s
[CV] c1=0.33340564736502715, c2=0.023032111431327634 .................
[CV]  c1=0.33340564736502715, c2=0.023032111431327634, score=0.800243 -   1.5s
[CV] c1=0.12755121174223397, c2=0.029985457142785166 .................
[CV]  c1=0.12755121174223397, c2=0.029985457142785166, score=0.817789 -   1.4s
[CV] c1=0.39505731191271476, c2=0.018421316602291578 .................
[CV]  c1=0.39505731191271476, c2=0.018421316602291578, score=0.687046 -   1.2s
[CV] c1=0.7768684612679342, c2=0.07086531227476668 ...................
[CV]  c1=0.7768684612679342, c2=0.07086531227476668, score=0.679356 -   1.5s
[CV] c1=1.9070673236668425, c2=0.014756146090411716 ..................
[CV]  c1=1.9070673236668425, c2=0.014756146090411716, score=0.539727 -   1.6s
[CV] c1=0.21475143178322748, c2=0.006927721636114751 .................
[CV]  c1=0.21475143178322748, c2=0.006927721636114751, score=0.901719 -   1.0s
[CV] c1=1.7151374512212871, c2=0.035765989775859604 ..................
[CV]  c1=1.7151374512212871, c2=0.035765989775859604, score=0.705037 -   1.3s
[CV] c1=0.8094544821223287, c2=0.030948726476086548 ..................
[CV]  c1=0.8094544821223287, c2=0.030948726476086548, score=0.634933 -   1.1s
[CV] c1=0.4891288623887241, c2=0.02634200256573753 ...................
[CV]  c1=0.4891288623887241, c2=0.02634200256573753, score=0.753163 -   1.4s
[CV] c1=0.13846463124039465, c2=0.0406012873743089 ...................
[CV]  c1=0.13846463124039465, c2=0.0406012873743089, score=0.854407 -   1.3s
[CV] c1=0.22908728091118769, c2=0.09080385296925336 ..................
[CV]  c1=0.22908728091118769, c2=0.09080385296925336, score=0.783954 -   1.4s
[CV] c1=1.289659266026323, c2=0.013880316734308354 ...................
[CV]  c1=1.289659266026323, c2=0.013880316734308354, score=0.809955 -   1.4s
[CV] c1=0.7985208901122649, c2=0.03355658633961025 ...................
[CV]  c1=0.7985208901122649, c2=0.03355658633961025, score=0.695380 -   1.4s
[CV] c1=0.4380384599426451, c2=0.1795581575462336 ....................
[CV]  c1=0.4380384599426451, c2=0.1795581575462336, score=0.737299 -   1.4s
[CV] c1=0.17238524124085594, c2=0.018648240246536205 .................
[CV]  c1=0.17238524124085594, c2=0.018648240246536205, score=0.877231 -   1.4s
[CV] c1=0.10166432194488502, c2=0.004330722508261123 .................
[CV]  c1=0.10166432194488502, c2=0.004330722508261123, score=0.817433 -   1.4s
[CV] c1=0.34539245313134287, c2=0.04999330176316713 ..................
[CV]  c1=0.34539245313134287, c2=0.04999330176316713, score=0.825596 -   1.3s
[CV] c1=0.3712212307161401, c2=0.008767668548728557 ..................
[CV]  c1=0.3712212307161401, c2=0.008767668548728557, score=0.831603 -   1.3s
[CV] c1=0.21475143178322748, c2=0.006927721636114751 .................
[CV]  c1=0.21475143178322748, c2=0.006927721636114751, score=0.821342 -   1.0s
[CV] c1=0.7240900718626272, c2=0.045072837262477954 ..................
[CV]  c1=0.7240900718626272, c2=0.045072837262477954, score=0.668080 -   1.1s
[CV] c1=1.926589879959432, c2=0.023896201187725563 ...................
[CV]  c1=1.926589879959432, c2=0.023896201187725563, score=0.539727 -   1.5s
[CV] c1=0.37753645703920896, c2=0.003986051248686333 .................
[CV]  c1=0.37753645703920896, c2=0.003986051248686333, score=0.899690 -   1.4s
[CV] c1=0.7322128632124849, c2=0.005651707514811783 ..................
[CV]  c1=0.7322128632124849, c2=0.005651707514811783, score=0.795265 -   1.2s
[CV] c1=0.27051449104086794, c2=0.05007928044237832 ..................
[CV]  c1=0.27051449104086794, c2=0.05007928044237832, score=0.664245 -   1.2s
[CV] c1=0.2222169888790155, c2=0.12888951581916516 ...................
[CV]  c1=0.2222169888790155, c2=0.12888951581916516, score=0.812413 -   1.5s
[CV] c1=0.057540793750617485, c2=0.059330187772223666 ................
[CV]  c1=0.057540793750617485, c2=0.059330187772223666, score=0.874875 -   1.3s
[CV] c1=0.7660233305362002, c2=0.1354750191892344 ....................
[CV]  c1=0.7660233305362002, c2=0.1354750191892344, score=0.643516 -   1.1s
[CV] c1=0.12755121174223397, c2=0.029985457142785166 .................
[CV]  c1=0.12755121174223397, c2=0.029985457142785166, score=0.659497 -   1.1s
[CV] c1=0.43842413374831135, c2=0.05099685138898821 ..................
[CV]  c1=0.43842413374831135, c2=0.05099685138898821, score=0.663495 -   1.1s
[CV] c1=0.3494857549044286, c2=0.000742012008891086 ..................
[CV]  c1=0.3494857549044286, c2=0.000742012008891086, score=0.831635 -   1.2s
[CV] c1=0.2216988221741324, c2=0.07900448443167755 ...................
[CV]  c1=0.2216988221741324, c2=0.07900448443167755, score=0.889420 -   1.4s
[CV] c1=0.563082571629264, c2=0.08158798775670054 ....................
[CV]  c1=0.563082571629264, c2=0.08158798775670054, score=0.659964 -   1.1s
[CV] c1=0.21475143178322748, c2=0.006927721636114751 .................
[CV]  c1=0.21475143178322748, c2=0.006927721636114751, score=0.812514 -   0.9s
Training done in: 19.231306s
     Saving training model...
        Saving training model done in: 0.013201s
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Prediction done in: 0.030799s