-------------------------------- 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: Run9
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: FalseS4: True
Run variant: 11
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003698s
-------------------------------- 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     -1:ner    _
7     +1:ner  MED
8     -2:ner    _
9     +2:ner  MED
--------------------------- FeaturesTest -----------------------------
           0           1
0      lemma  delta-arca
1     postag          NN
2   -1:lemma           _
3  -1:postag          NN
4   +1:lemma           _
5  +1:postag          CD
6     -1:ner           _
7     +1:ner           _
8     -2:ner           _
9     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.7740578969479679, c2=0.053230766587879924 ..................
[CV]  c1=0.7740578969479679, c2=0.053230766587879924, score=0.684582 -   1.1s
[CV] c1=0.19396254395526147, c2=0.013191885603165083 .................
[CV]  c1=0.19396254395526147, c2=0.013191885603165083, score=0.661082 -   1.0s
[CV] c1=0.4324511163595765, c2=0.03274547486760031 ...................
[CV]  c1=0.4324511163595765, c2=0.03274547486760031, score=0.729976 -   1.3s
[CV] c1=0.635502634749938, c2=0.10308135254922557 ....................
[CV]  c1=0.635502634749938, c2=0.10308135254922557, score=0.763155 -   1.2s
[CV] c1=0.3164056031130173, c2=0.007315146554657501 ..................
[CV]  c1=0.3164056031130173, c2=0.007315146554657501, score=0.810270 -   1.3s
[CV] c1=0.9584484524828271, c2=0.030366500707119267 ..................
[CV]  c1=0.9584484524828271, c2=0.030366500707119267, score=0.777971 -   1.2s
[CV] c1=0.9384420652273061, c2=0.11908922811484078 ...................
[CV]  c1=0.9384420652273061, c2=0.11908922811484078, score=0.575528 -   1.3s
[CV] c1=1.497350309453547, c2=0.06392429123711559 ....................
[CV]  c1=1.497350309453547, c2=0.06392429123711559, score=0.608252 -   1.0s
[CV] c1=0.7728205164498356, c2=0.11754444827577828 ...................
[CV]  c1=0.7728205164498356, c2=0.11754444827577828, score=0.631451 -   1.4s
[CV] c1=2.3661627458803878, c2=0.07854164276220599 ...................
[CV]  c1=2.3661627458803878, c2=0.07854164276220599, score=0.525410 -   1.3s
[CV] c1=0.5472841405086236, c2=0.021773622910256203 ..................
[CV]  c1=0.5472841405086236, c2=0.021773622910256203, score=0.726430 -   1.3s
[CV] c1=0.12206423520457003, c2=0.09118107936957488 ..................
[CV]  c1=0.12206423520457003, c2=0.09118107936957488, score=0.885260 -   1.3s
[CV] c1=1.0119037651687632, c2=0.06470772414056715 ...................
[CV]  c1=1.0119037651687632, c2=0.06470772414056715, score=0.645241 -   1.2s
[CV] c1=0.3803196820168182, c2=0.13869818945423168 ...................
[CV]  c1=0.3803196820168182, c2=0.13869818945423168, score=0.800089 -   1.2s
[CV] c1=0.04569502832741405, c2=0.015955871189802698 .................
[CV]  c1=0.04569502832741405, c2=0.015955871189802698, score=0.844982 -   1.1s
[CV] c1=0.24010568136998142, c2=0.04811632398526265 ..................
[CV]  c1=0.24010568136998142, c2=0.04811632398526265, score=0.705090 -   1.0s
[CV] c1=0.3333841751122194, c2=0.026169574443332164 ..................
[CV]  c1=0.3333841751122194, c2=0.026169574443332164, score=0.772971 -   1.3s
[CV] c1=0.946759849300806, c2=0.04017811991514836 ....................
[CV]  c1=0.946759849300806, c2=0.04017811991514836, score=0.847768 -   1.3s
[CV] c1=0.9388494753946851, c2=0.014753987004915146 ..................
[CV]  c1=0.9388494753946851, c2=0.014753987004915146, score=0.634380 -   1.3s
[CV] c1=0.9592932806338305, c2=0.12336669704173381 ...................
[CV]  c1=0.9592932806338305, c2=0.12336669704173381, score=0.574235 -   1.0s
[CV] c1=2.5002235220231657, c2=0.023465161287941905 ..................
[CV]  c1=2.5002235220231657, c2=0.023465161287941905, score=0.579757 -   1.2s
[CV] c1=0.04392312766464652, c2=0.03482328441191339 ..................
[CV]  c1=0.04392312766464652, c2=0.03482328441191339, score=0.844044 -   1.2s
[CV] c1=0.11731830929813147, c2=0.013432201909625727 .................
[CV]  c1=0.11731830929813147, c2=0.013432201909625727, score=0.852828 -   1.1s
[CV] c1=0.21655925128149306, c2=0.003129773767205326 .................
[CV]  c1=0.21655925128149306, c2=0.003129773767205326, score=0.775719 -   1.2s
[CV] c1=0.39005486279865353, c2=0.00936659744462834 ..................
[CV]  c1=0.39005486279865353, c2=0.00936659744462834, score=0.837625 -   1.1s
[CV] c1=1.302022543977716, c2=0.01215011485096799 ....................
[CV]  c1=1.302022543977716, c2=0.01215011485096799, score=0.711423 -   1.2s
[CV] c1=0.09543803979127931, c2=0.02839366820902291 ..................
[CV]  c1=0.09543803979127931, c2=0.02839366820902291, score=0.802465 -   1.3s
[CV] c1=1.6644120765605372, c2=0.07072951500802747 ...................
[CV]  c1=1.6644120765605372, c2=0.07072951500802747, score=0.543920 -   1.3s
[CV] c1=1.0136516021469635, c2=0.015097504956787165 ..................
[CV]  c1=1.0136516021469635, c2=0.015097504956787165, score=0.634380 -   1.3s
[CV] c1=3.9763474256235676, c2=0.07216414083398885 ...................
[CV]  c1=3.9763474256235676, c2=0.07216414083398885, score=0.450114 -   1.0s
[CV] c1=0.01937014832158589, c2=0.08529207621438922 ..................
[CV]  c1=0.01937014832158589, c2=0.08529207621438922, score=0.880997 -   1.2s
[CV] c1=0.8805044448525946, c2=0.025032835896355427 ..................
[CV]  c1=0.8805044448525946, c2=0.025032835896355427, score=0.849795 -   1.2s
[CV] c1=0.4176725091040425, c2=0.02515673829682369 ...................
[CV]  c1=0.4176725091040425, c2=0.02515673829682369, score=0.861887 -   1.3s
[CV] c1=0.23062965783449382, c2=0.03898977075825048 ..................
[CV]  c1=0.23062965783449382, c2=0.03898977075825048, score=0.780078 -   1.3s
[CV] c1=0.11731830929813147, c2=0.013432201909625727 .................
[CV]  c1=0.11731830929813147, c2=0.013432201909625727, score=0.882868 -   1.2s
[CV] c1=0.21655925128149306, c2=0.003129773767205326 .................
[CV]  c1=0.21655925128149306, c2=0.003129773767205326, score=0.872137 -   1.3s
[CV] c1=0.39005486279865353, c2=0.00936659744462834 ..................
[CV]  c1=0.39005486279865353, c2=0.00936659744462834, score=0.870688 -   1.3s
[CV] c1=0.18098852211508534, c2=0.02748647325976445 ..................
[CV]  c1=0.18098852211508534, c2=0.02748647325976445, score=0.696691 -   1.0s
[CV] c1=1.488945849478584, c2=0.10256205733363587 ....................
[CV]  c1=1.488945849478584, c2=0.10256205733363587, score=0.608252 -   1.0s
[CV] c1=0.09477844343803477, c2=0.048288092955139826 .................
[CV]  c1=0.09477844343803477, c2=0.048288092955139826, score=0.707157 -   0.9s
[CV] c1=0.3164056031130173, c2=0.007315146554657501 ..................
[CV]  c1=0.3164056031130173, c2=0.007315146554657501, score=0.725476 -   1.0s
[CV] c1=1.1898876758543477, c2=0.03997960601813582 ...................
[CV]  c1=1.1898876758543477, c2=0.03997960601813582, score=0.823216 -   1.2s
[CV] c1=0.12829803860822095, c2=0.010612416375306535 .................
[CV]  c1=0.12829803860822095, c2=0.010612416375306535, score=0.772038 -   1.2s
[CV] c1=0.12869197265073581, c2=0.03946143881828923 ..................
[CV]  c1=0.12869197265073581, c2=0.03946143881828923, score=0.888171 -   1.2s
[CV] c1=0.22834916889037074, c2=0.014078093211639426 .................
[CV]  c1=0.22834916889037074, c2=0.014078093211639426, score=0.662623 -   1.0s
[CV] c1=0.8102418661308898, c2=0.04283532131970492 ...................
[CV]  c1=0.8102418661308898, c2=0.04283532131970492, score=0.651144 -   1.1s
[CV] c1=0.04392312766464652, c2=0.03482328441191339 ..................
[CV]  c1=0.04392312766464652, c2=0.03482328441191339, score=0.881696 -   1.2s
[CV] c1=0.11731830929813147, c2=0.013432201909625727 .................
[CV]  c1=0.11731830929813147, c2=0.013432201909625727, score=0.798749 -   1.3s
[CV] c1=0.21655925128149306, c2=0.003129773767205326 .................
[CV]  c1=0.21655925128149306, c2=0.003129773767205326, score=0.800674 -   1.3s
[CV] c1=0.5147671497584984, c2=0.015152389343953056 ..................
[CV]  c1=0.5147671497584984, c2=0.015152389343953056, score=0.855939 -   1.0s
[CV] c1=0.7736363182684719, c2=0.04857807257250504 ...................
[CV]  c1=0.7736363182684719, c2=0.04857807257250504, score=0.725817 -   1.2s
[CV] c1=0.4324511163595765, c2=0.03274547486760031 ...................
[CV]  c1=0.4324511163595765, c2=0.03274547486760031, score=0.694826 -   1.1s
[CV] c1=1.0279741747904017, c2=0.0772186464216485 ....................
[CV]  c1=1.0279741747904017, c2=0.0772186464216485, score=0.575528 -   1.2s
[CV] c1=0.3164056031130173, c2=0.007315146554657501 ..................
[CV]  c1=0.3164056031130173, c2=0.007315146554657501, score=0.880718 -   1.4s
[CV] c1=0.872997608919998, c2=0.027962424185363894 ...................
[CV]  c1=0.872997608919998, c2=0.027962424185363894, score=0.673070 -   1.3s
[CV] c1=0.9384420652273061, c2=0.11908922811484078 ...................
[CV]  c1=0.9384420652273061, c2=0.11908922811484078, score=0.645241 -   1.4s
[CV] c1=1.497350309453547, c2=0.06392429123711559 ....................
[CV]  c1=1.497350309453547, c2=0.06392429123711559, score=0.703042 -   1.2s
[CV] c1=0.033945917315239243, c2=0.06721343501561564 .................
[CV]  c1=0.033945917315239243, c2=0.06721343501561564, score=0.772293 -   1.4s
[CV] c1=0.23062965783449382, c2=0.03898977075825048 ..................
[CV]  c1=0.23062965783449382, c2=0.03898977075825048, score=0.666801 -   1.1s
[CV] c1=0.5472841405086236, c2=0.021773622910256203 ..................
[CV]  c1=0.5472841405086236, c2=0.021773622910256203, score=0.784247 -   1.3s
[CV] c1=0.12206423520457003, c2=0.09118107936957488 ..................
[CV]  c1=0.12206423520457003, c2=0.09118107936957488, score=0.770257 -   1.3s
[CV] c1=0.5147671497584984, c2=0.015152389343953056 ..................
[CV]  c1=0.5147671497584984, c2=0.015152389343953056, score=0.814563 -   0.9s
[CV] c1=0.7736363182684719, c2=0.04857807257250504 ...................
[CV]  c1=0.7736363182684719, c2=0.04857807257250504, score=0.677409 -   1.3s
[CV] c1=0.4324511163595765, c2=0.03274547486760031 ...................
[CV]  c1=0.4324511163595765, c2=0.03274547486760031, score=0.799346 -   1.4s
[CV] c1=0.09477844343803477, c2=0.048288092955139826 .................
[CV]  c1=0.09477844343803477, c2=0.048288092955139826, score=0.774599 -   1.3s
[CV] c1=0.2367301064339354, c2=0.21886621622029612 ...................
[CV]  c1=0.2367301064339354, c2=0.21886621622029612, score=0.791887 -   1.2s
[CV] c1=0.7121609008982106, c2=0.02716095785981051 ...................
[CV]  c1=0.7121609008982106, c2=0.02716095785981051, score=0.672297 -   1.2s
[CV] c1=0.5534946837939742, c2=0.0466952473584082 ....................
[CV]  c1=0.5534946837939742, c2=0.0466952473584082, score=0.811136 -   1.2s
[CV] c1=1.497350309453547, c2=0.06392429123711559 ....................
[CV]  c1=1.497350309453547, c2=0.06392429123711559, score=0.608641 -   1.5s
[CV] c1=2.5002235220231657, c2=0.023465161287941905 ..................
[CV]  c1=2.5002235220231657, c2=0.023465161287941905, score=0.525410 -   1.3s
[CV] c1=0.9909992569298991, c2=0.0881300890729514 ....................
[CV]  c1=0.9909992569298991, c2=0.0881300890729514, score=0.612395 -   1.3s
[CV] c1=0.3912703160019724, c2=0.09929971283000533 ...................
[CV]  c1=0.3912703160019724, c2=0.09929971283000533, score=0.811361 -   1.1s
[CV] c1=0.6413265731011848, c2=0.03395687807504124 ...................
[CV]  c1=0.6413265731011848, c2=0.03395687807504124, score=0.732835 -   1.0s
[CV] c1=1.0119037651687632, c2=0.06470772414056715 ...................
[CV]  c1=1.0119037651687632, c2=0.06470772414056715, score=0.661892 -   1.0s
[CV] c1=0.18098852211508534, c2=0.02748647325976445 ..................
[CV]  c1=0.18098852211508534, c2=0.02748647325976445, score=0.778183 -   1.3s
[CV] c1=0.8825481657442561, c2=0.011721677864218365 ..................
[CV]  c1=0.8825481657442561, c2=0.011721677864218365, score=0.678897 -   1.4s
[CV] c1=0.24010568136998142, c2=0.04811632398526265 ..................
[CV]  c1=0.24010568136998142, c2=0.04811632398526265, score=0.771173 -   1.3s
[CV] c1=1.1898876758543477, c2=0.03997960601813582 ...................
[CV]  c1=1.1898876758543477, c2=0.03997960601813582, score=0.587839 -   1.0s
[CV] c1=0.946759849300806, c2=0.04017811991514836 ....................
[CV]  c1=0.946759849300806, c2=0.04017811991514836, score=0.670700 -   1.0s
[CV] c1=0.3929556210837176, c2=0.050585310812173725 ..................
[CV]  c1=0.3929556210837176, c2=0.050585310812173725, score=0.865749 -   1.2s
[CV] c1=2.0171399079544705, c2=0.19023469836175977 ...................
[CV]  c1=2.0171399079544705, c2=0.19023469836175977, score=0.567897 -   1.4s
[CV] c1=0.8102418661308898, c2=0.04283532131970492 ...................
[CV]  c1=0.8102418661308898, c2=0.04283532131970492, score=0.725817 -   1.2s
[CV] c1=0.9909992569298991, c2=0.0881300890729514 ....................
[CV]  c1=0.9909992569298991, c2=0.0881300890729514, score=0.725149 -   1.2s
[CV] c1=0.1900747612646323, c2=0.0043992338983668035 .................
[CV]  c1=0.1900747612646323, c2=0.0043992338983668035, score=0.788056 -   1.2s
[CV] c1=1.0275629997514089, c2=0.0032815632245359865 .................
[CV]  c1=1.0275629997514089, c2=0.0032815632245359865, score=0.662048 -   1.2s
[CV] c1=0.02134798367868712, c2=0.06167282902283827 ..................
[CV]  c1=0.02134798367868712, c2=0.06167282902283827, score=0.818295 -   1.3s
[CV] c1=0.3938694568506802, c2=0.06877594429515116 ...................
[CV]  c1=0.3938694568506802, c2=0.06877594429515116, score=0.801993 -   1.2s
[CV] c1=1.0279741747904017, c2=0.0772186464216485 ....................
[CV]  c1=1.0279741747904017, c2=0.0772186464216485, score=0.616457 -   1.0s
[CV] c1=0.34165196865518765, c2=0.05203332868496363 ..................
[CV]  c1=0.34165196865518765, c2=0.05203332868496363, score=0.796534 -   1.3s
[CV] c1=0.03310514474960945, c2=0.02262543973608695 ..................
[CV]  c1=0.03310514474960945, c2=0.02262543973608695, score=0.838144 -   1.2s
[CV] c1=0.12829803860822095, c2=0.010612416375306535 .................
[CV]  c1=0.12829803860822095, c2=0.010612416375306535, score=0.797924 -   1.3s
[CV] c1=0.7178006342040231, c2=0.00313601927853638 ...................
[CV]  c1=0.7178006342040231, c2=0.00313601927853638, score=0.779350 -   1.3s
[CV] c1=0.22834916889037074, c2=0.014078093211639426 .................
[CV]  c1=0.22834916889037074, c2=0.014078093211639426, score=0.792986 -   1.2s
[CV] c1=0.6889745465822767, c2=0.07258322404567126 ...................
[CV]  c1=0.6889745465822767, c2=0.07258322404567126, score=0.763155 -   1.2s
[CV] c1=0.29080151634141227, c2=0.0051538604103045435 ................
[CV]  c1=0.29080151634141227, c2=0.0051538604103045435, score=0.844135 -   1.2s
[CV] c1=0.6796722080989017, c2=0.025663466539605204 ..................
[CV]  c1=0.6796722080989017, c2=0.025663466539605204, score=0.730017 -   1.0s
[CV] c1=0.6413265731011848, c2=0.03395687807504124 ...................
[CV]  c1=0.6413265731011848, c2=0.03395687807504124, score=0.848891 -   1.2s
[CV] c1=0.02268316821415593, c2=0.14461241266057515 ..................
[CV]  c1=0.02268316821415593, c2=0.14461241266057515, score=0.692519 -   0.9s
[CV] c1=0.19396254395526147, c2=0.013191885603165083 .................
[CV]  c1=0.19396254395526147, c2=0.013191885603165083, score=0.808275 -   1.3s
[CV] c1=0.09543803979127931, c2=0.02839366820902291 ..................
[CV]  c1=0.09543803979127931, c2=0.02839366820902291, score=0.847127 -   1.2s
[CV] c1=1.6644120765605372, c2=0.07072951500802747 ...................
[CV]  c1=1.6644120765605372, c2=0.07072951500802747, score=0.699104 -   1.2s
[CV] c1=0.2367301064339354, c2=0.21886621622029612 ...................
[CV]  c1=0.2367301064339354, c2=0.21886621622029612, score=0.680940 -   1.2s
[CV] c1=0.7121609008982106, c2=0.02716095785981051 ...................
[CV]  c1=0.7121609008982106, c2=0.02716095785981051, score=0.753975 -   1.3s
[CV] c1=0.01937014832158589, c2=0.08529207621438922 ..................
[CV]  c1=0.01937014832158589, c2=0.08529207621438922, score=0.846276 -   1.2s
[CV] c1=0.8805044448525946, c2=0.025032835896355427 ..................
[CV]  c1=0.8805044448525946, c2=0.025032835896355427, score=0.684836 -   1.2s
[CV] c1=0.4176725091040425, c2=0.02515673829682369 ...................
[CV]  c1=0.4176725091040425, c2=0.02515673829682369, score=0.841049 -   1.2s
[CV] c1=0.23062965783449382, c2=0.03898977075825048 ..................
[CV]  c1=0.23062965783449382, c2=0.03898977075825048, score=0.842504 -   1.2s
[CV] c1=1.3226482768495176, c2=0.04947412772811835 ...................
[CV]  c1=1.3226482768495176, c2=0.04947412772811835, score=0.562870 -   1.2s
[CV] c1=0.21655925128149306, c2=0.003129773767205326 .................
[CV]  c1=0.21655925128149306, c2=0.003129773767205326, score=0.856167 -   1.3s
[CV] c1=0.7740578969479679, c2=0.053230766587879924 ..................
[CV]  c1=0.7740578969479679, c2=0.053230766587879924, score=0.847220 -   1.1s
[CV] c1=0.19396254395526147, c2=0.013191885603165083 .................
[CV]  c1=0.19396254395526147, c2=0.013191885603165083, score=0.849682 -   1.1s
[CV] c1=0.05844225538064267, c2=0.08936350925461076 ..................
[CV]  c1=0.05844225538064267, c2=0.08936350925461076, score=0.806887 -   1.3s
[CV] c1=1.6644120765605372, c2=0.07072951500802747 ...................
[CV]  c1=1.6644120765605372, c2=0.07072951500802747, score=0.795910 -   1.2s
[CV] c1=0.8774230128170851, c2=0.05588816574239345 ...................
[CV]  c1=0.8774230128170851, c2=0.05588816574239345, score=0.705998 -   1.4s
[CV] c1=0.6654280799571827, c2=0.014363819171346166 ..................
[CV]  c1=0.6654280799571827, c2=0.014363819171346166, score=0.837586 -   1.4s
[CV] c1=0.3929556210837176, c2=0.050585310812173725 ..................
[CV]  c1=0.3929556210837176, c2=0.050585310812173725, score=0.697709 -   1.1s
[CV] c1=0.8805044448525946, c2=0.025032835896355427 ..................
[CV]  c1=0.8805044448525946, c2=0.025032835896355427, score=0.765882 -   1.2s
[CV] c1=0.4176725091040425, c2=0.02515673829682369 ...................
[CV]  c1=0.4176725091040425, c2=0.02515673829682369, score=0.756416 -   1.3s
[CV] c1=0.23062965783449382, c2=0.03898977075825048 ..................
[CV]  c1=0.23062965783449382, c2=0.03898977075825048, score=0.807661 -   1.3s
[CV] c1=0.1900747612646323, c2=0.0043992338983668035 .................
[CV]  c1=0.1900747612646323, c2=0.0043992338983668035, score=0.890221 -   1.2s
[CV] c1=1.0275629997514089, c2=0.0032815632245359865 .................
[CV]  c1=1.0275629997514089, c2=0.0032815632245359865, score=0.835374 -   1.3s
[CV] c1=0.5548651469734359, c2=0.03784274484042165 ...................
[CV]  c1=0.5548651469734359, c2=0.03784274484042165, score=0.705166 -   1.1s
[CV] c1=0.18098852211508534, c2=0.02748647325976445 ..................
[CV]  c1=0.18098852211508534, c2=0.02748647325976445, score=0.890221 -   1.3s
[CV] c1=0.4765232484232529, c2=0.07310073509224733 ...................
[CV]  c1=0.4765232484232529, c2=0.07310073509224733, score=0.774809 -   1.2s
[CV] c1=0.9519886074369309, c2=0.06308144661217538 ...................
[CV]  c1=0.9519886074369309, c2=0.06308144661217538, score=0.632604 -   1.3s
[CV] c1=0.03310514474960945, c2=0.02262543973608695 ..................
[CV]  c1=0.03310514474960945, c2=0.02262543973608695, score=0.878941 -   1.3s
[CV] c1=0.12829803860822095, c2=0.010612416375306535 .................
[CV]  c1=0.12829803860822095, c2=0.010612416375306535, score=0.662843 -   1.0s
[CV] c1=0.3929556210837176, c2=0.050585310812173725 ..................
[CV]  c1=0.3929556210837176, c2=0.050585310812173725, score=0.825424 -   1.2s
[CV] c1=2.0171399079544705, c2=0.19023469836175977 ...................
[CV]  c1=2.0171399079544705, c2=0.19023469836175977, score=0.589371 -   1.2s
[CV] c1=2.5002235220231657, c2=0.023465161287941905 ..................
[CV]  c1=2.5002235220231657, c2=0.023465161287941905, score=0.558935 -   1.2s
[CV] c1=0.04392312766464652, c2=0.03482328441191339 ..................
[CV]  c1=0.04392312766464652, c2=0.03482328441191339, score=0.816782 -   1.3s
[CV] c1=0.1900747612646323, c2=0.0043992338983668035 .................
[CV]  c1=0.1900747612646323, c2=0.0043992338983668035, score=0.849682 -   1.2s
[CV] c1=1.0275629997514089, c2=0.0032815632245359865 .................
[CV]  c1=1.0275629997514089, c2=0.0032815632245359865, score=0.736061 -   1.2s
[CV] c1=0.5147671497584984, c2=0.015152389343953056 ..................
[CV]  c1=0.5147671497584984, c2=0.015152389343953056, score=0.768923 -   0.8s
[CV] c1=0.7736363182684719, c2=0.04857807257250504 ...................
[CV]  c1=0.7736363182684719, c2=0.04857807257250504, score=0.849795 -   1.5s
[CV] c1=0.05844225538064267, c2=0.08936350925461076 ..................
[CV]  c1=0.05844225538064267, c2=0.08936350925461076, score=0.893510 -   1.3s
[CV] c1=0.09477844343803477, c2=0.048288092955139826 .................
[CV]  c1=0.09477844343803477, c2=0.048288092955139826, score=0.844198 -   1.2s
[CV] c1=0.8774230128170851, c2=0.05588816574239345 ...................
[CV]  c1=0.8774230128170851, c2=0.05588816574239345, score=0.719388 -   1.3s
[CV] c1=0.7121609008982106, c2=0.02716095785981051 ...................
[CV]  c1=0.7121609008982106, c2=0.02716095785981051, score=0.851264 -   1.2s
[CV] c1=0.5534946837939742, c2=0.0466952473584082 ....................
[CV]  c1=0.5534946837939742, c2=0.0466952473584082, score=0.692018 -   1.3s
[CV] c1=1.497350309453547, c2=0.06392429123711559 ....................
[CV]  c1=1.497350309453547, c2=0.06392429123711559, score=0.561954 -   1.4s
[CV] c1=0.4176725091040425, c2=0.02515673829682369 ...................
[CV]  c1=0.4176725091040425, c2=0.02515673829682369, score=0.785233 -   1.3s
[CV] c1=0.9909992569298991, c2=0.0881300890729514 ....................
[CV]  c1=0.9909992569298991, c2=0.0881300890729514, score=0.825049 -   1.5s
[CV] c1=0.6796722080989017, c2=0.025663466539605204 ..................
[CV]  c1=0.6796722080989017, c2=0.025663466539605204, score=0.844014 -   1.3s
[CV] c1=0.3074145926661543, c2=0.025152560938732166 ..................
[CV]  c1=0.3074145926661543, c2=0.025152560938732166, score=0.712041 -   1.0s
[CV] c1=0.02268316821415593, c2=0.14461241266057515 ..................
[CV]  c1=0.02268316821415593, c2=0.14461241266057515, score=0.789197 -   1.2s
[CV] c1=0.9177006913740996, c2=0.014940099411628239 ..................
[CV]  c1=0.9177006913740996, c2=0.014940099411628239, score=0.851839 -   1.2s
[CV] c1=0.4765232484232529, c2=0.07310073509224733 ...................
[CV]  c1=0.4765232484232529, c2=0.07310073509224733, score=0.808468 -   1.3s
[CV] c1=0.34165196865518765, c2=0.05203332868496363 ..................
[CV]  c1=0.34165196865518765, c2=0.05203332868496363, score=0.835450 -   1.2s
[CV] c1=0.28375146018622677, c2=0.03968625317329469 ..................
[CV]  c1=0.28375146018622677, c2=0.03968625317329469, score=0.876862 -   1.2s
[CV] c1=0.946759849300806, c2=0.04017811991514836 ....................
[CV]  c1=0.946759849300806, c2=0.04017811991514836, score=0.651473 -   1.2s
[CV] c1=0.9388494753946851, c2=0.014753987004915146 ..................
[CV]  c1=0.9388494753946851, c2=0.014753987004915146, score=0.777971 -   1.2s
[CV] c1=0.10930788821271871, c2=0.008807840714887983 .................
[CV]  c1=0.10930788821271871, c2=0.008807840714887983, score=0.796390 -   1.3s
[CV] c1=0.18149244802340775, c2=0.002721169585365028 .................
[CV]  c1=0.18149244802340775, c2=0.002721169585365028, score=0.728938 -   1.0s
[CV] c1=0.04392312766464652, c2=0.03482328441191339 ..................
[CV]  c1=0.04392312766464652, c2=0.03482328441191339, score=0.795221 -   1.2s
[CV] c1=0.11731830929813147, c2=0.013432201909625727 .................
[CV]  c1=0.11731830929813147, c2=0.013432201909625727, score=0.778183 -   1.3s
[CV] c1=1.0275629997514089, c2=0.0032815632245359865 .................
[CV]  c1=1.0275629997514089, c2=0.0032815632245359865, score=0.628583 -   1.3s
[CV] c1=0.02268316821415593, c2=0.14461241266057515 ..................
[CV]  c1=0.02268316821415593, c2=0.14461241266057515, score=0.834800 -   1.2s
[CV] c1=0.18098852211508534, c2=0.02748647325976445 ..................
[CV]  c1=0.18098852211508534, c2=0.02748647325976445, score=0.838851 -   1.2s
[CV] c1=0.8825481657442561, c2=0.011721677864218365 ..................
[CV]  c1=0.8825481657442561, c2=0.011721677864218365, score=0.845438 -   1.2s
[CV] c1=0.34165196865518765, c2=0.05203332868496363 ..................
[CV]  c1=0.34165196865518765, c2=0.05203332868496363, score=0.869152 -   1.3s
[CV] c1=0.28375146018622677, c2=0.03968625317329469 ..................
[CV]  c1=0.28375146018622677, c2=0.03968625317329469, score=0.830876 -   1.2s
[CV] c1=0.946759849300806, c2=0.04017811991514836 ....................
[CV]  c1=0.946759849300806, c2=0.04017811991514836, score=0.718170 -   1.2s
[CV] c1=0.9388494753946851, c2=0.014753987004915146 ..................
[CV]  c1=0.9388494753946851, c2=0.014753987004915146, score=0.671658 -   1.3s
[CV] c1=0.9592932806338305, c2=0.12336669704173381 ...................
[CV]  c1=0.9592932806338305, c2=0.12336669704173381, score=0.817015 -   1.2s
[CV] c1=0.18149244802340775, c2=0.002721169585365028 .................
[CV]  c1=0.18149244802340775, c2=0.002721169585365028, score=0.883781 -   1.3s
[CV] c1=0.1345687430556738, c2=0.06199231283829877 ...................
[CV]  c1=0.1345687430556738, c2=0.06199231283829877, score=0.804134 -   1.2s
[CV] c1=0.3912703160019724, c2=0.09929971283000533 ...................
[CV]  c1=0.3912703160019724, c2=0.09929971283000533, score=0.715042 -   1.3s
[CV] c1=0.6413265731011848, c2=0.03395687807504124 ...................
[CV]  c1=0.6413265731011848, c2=0.03395687807504124, score=0.768100 -   1.1s
[CV] c1=1.0119037651687632, c2=0.06470772414056715 ...................
[CV]  c1=1.0119037651687632, c2=0.06470772414056715, score=0.615086 -   1.3s
[CV] c1=0.3938694568506802, c2=0.06877594429515116 ...................
[CV]  c1=0.3938694568506802, c2=0.06877594429515116, score=0.695473 -   1.0s
[CV] c1=0.04569502832741405, c2=0.015955871189802698 .................
[CV]  c1=0.04569502832741405, c2=0.015955871189802698, score=0.869283 -   1.2s
[CV] c1=0.24010568136998142, c2=0.04811632398526265 ..................
[CV]  c1=0.24010568136998142, c2=0.04811632398526265, score=0.888119 -   1.3s
[CV] c1=0.03310514474960945, c2=0.02262543973608695 ..................
[CV]  c1=0.03310514474960945, c2=0.02262543973608695, score=0.704097 -   1.0s
[CV] c1=3.9763474256235676, c2=0.07216414083398885 ...................
[CV]  c1=3.9763474256235676, c2=0.07216414083398885, score=0.462687 -   1.4s
[CV] c1=0.7178006342040231, c2=0.00313601927853638 ...................
[CV]  c1=0.7178006342040231, c2=0.00313601927853638, score=0.847165 -   1.3s
[CV] c1=0.9592932806338305, c2=0.12336669704173381 ...................
[CV]  c1=0.9592932806338305, c2=0.12336669704173381, score=0.646819 -   1.3s
[CV] c1=0.18149244802340775, c2=0.002721169585365028 .................
[CV]  c1=0.18149244802340775, c2=0.002721169585365028, score=0.821087 -   1.3s
[CV] c1=0.29080151634141227, c2=0.0051538604103045435 ................
[CV]  c1=0.29080151634141227, c2=0.0051538604103045435, score=0.758720 -   1.0s
[CV] c1=0.1900747612646323, c2=0.0043992338983668035 .................
[CV]  c1=0.1900747612646323, c2=0.0043992338983668035, score=0.812153 -   1.3s
[CV] c1=0.6413265731011848, c2=0.03395687807504124 ...................
[CV]  c1=0.6413265731011848, c2=0.03395687807504124, score=0.685132 -   1.2s
[CV] c1=0.39005486279865353, c2=0.00936659744462834 ..................
[CV]  c1=0.39005486279865353, c2=0.00936659744462834, score=0.795492 -   1.3s
[CV] c1=0.18098852211508534, c2=0.02748647325976445 ..................
[CV]  c1=0.18098852211508534, c2=0.02748647325976445, score=0.782511 -   1.3s
[CV] c1=0.8825481657442561, c2=0.011721677864218365 ..................
[CV]  c1=0.8825481657442561, c2=0.011721677864218365, score=0.678271 -   1.0s
[CV] c1=0.3289455668352127, c2=0.09615203814234138 ...................
[CV]  c1=0.3289455668352127, c2=0.09615203814234138, score=0.781820 -   1.2s
[CV] c1=0.3333841751122194, c2=0.026169574443332164 ..................
[CV]  c1=0.3333841751122194, c2=0.026169574443332164, score=0.738362 -   1.0s
[CV] c1=0.7121609008982106, c2=0.02716095785981051 ...................
[CV]  c1=0.7121609008982106, c2=0.02716095785981051, score=0.732551 -   1.1s
[CV] c1=0.5534946837939742, c2=0.0466952473584082 ....................
[CV]  c1=0.5534946837939742, c2=0.0466952473584082, score=0.842260 -   1.2s
[CV] c1=1.497350309453547, c2=0.06392429123711559 ....................
[CV]  c1=1.497350309453547, c2=0.06392429123711559, score=0.793127 -   1.2s
[CV] c1=0.033945917315239243, c2=0.06721343501561564 .................
[CV]  c1=0.033945917315239243, c2=0.06721343501561564, score=0.662160 -   1.0s
[CV] c1=0.08613150121754856, c2=0.024611402509052527 .................
[CV]  c1=0.08613150121754856, c2=0.024611402509052527, score=0.794669 -   1.2s
[CV] c1=0.8057792870552595, c2=0.015921968538724907 ..................
[CV]  c1=0.8057792870552595, c2=0.015921968538724907, score=0.683280 -   1.2s
[CV] c1=0.9115428683141059, c2=0.12386061985326502 ...................
[CV]  c1=0.9115428683141059, c2=0.12386061985326502, score=0.627050 -   1.0s
[CV] c1=0.6413265731011848, c2=0.03395687807504124 ...................
[CV]  c1=0.6413265731011848, c2=0.03395687807504124, score=0.786319 -   1.2s
[CV] c1=0.02134798367868712, c2=0.06167282902283827 ..................
[CV]  c1=0.02134798367868712, c2=0.06167282902283827, score=0.877094 -   1.2s
[CV] c1=0.3938694568506802, c2=0.06877594429515116 ...................
[CV]  c1=0.3938694568506802, c2=0.06877594429515116, score=0.850330 -   1.2s
[CV] c1=1.0279741747904017, c2=0.0772186464216485 ....................
[CV]  c1=1.0279741747904017, c2=0.0772186464216485, score=0.824680 -   1.3s
[CV] c1=0.031801523003838046, c2=0.0067115920971268775 ...............
[CV]  c1=0.031801523003838046, c2=0.0067115920971268775, score=0.805351 -   1.3s
[CV] c1=0.872997608919998, c2=0.027962424185363894 ...................
[CV]  c1=0.872997608919998, c2=0.027962424185363894, score=0.848578 -   1.2s
[CV] c1=1.5829362925562753, c2=0.005364566798471009 ..................
[CV]  c1=1.5829362925562753, c2=0.005364566798471009, score=0.569706 -   1.2s
[CV] c1=0.12869197265073581, c2=0.03946143881828923 ..................
[CV]  c1=0.12869197265073581, c2=0.03946143881828923, score=0.844440 -   1.2s
[CV] c1=0.22834916889037074, c2=0.014078093211639426 .................
[CV]  c1=0.22834916889037074, c2=0.014078093211639426, score=0.804943 -   1.3s
[CV] c1=0.08613150121754856, c2=0.024611402509052527 .................
[CV]  c1=0.08613150121754856, c2=0.024611402509052527, score=0.808473 -   1.3s
[CV] c1=2.051775576858116, c2=0.025529256255681726 ...................
[CV]  c1=2.051775576858116, c2=0.025529256255681726, score=0.668690 -   1.3s
[CV] c1=0.4062142914243634, c2=0.14963595989632886 ...................
[CV]  c1=0.4062142914243634, c2=0.14963595989632886, score=0.628096 -   1.0s
[CV] c1=0.3074145926661543, c2=0.025152560938732166 ..................
[CV]  c1=0.3074145926661543, c2=0.025152560938732166, score=0.809537 -   1.1s
[CV] c1=0.3296477340738978, c2=0.07252103151210158 ...................
[CV]  c1=0.3296477340738978, c2=0.07252103151210158, score=0.868000 -   1.2s
[CV] c1=1.302022543977716, c2=0.01215011485096799 ....................
[CV]  c1=1.302022543977716, c2=0.01215011485096799, score=0.611265 -   1.2s
[CV] c1=1.488945849478584, c2=0.10256205733363587 ....................
[CV]  c1=1.488945849478584, c2=0.10256205733363587, score=0.793387 -   1.2s
[CV] c1=0.3289455668352127, c2=0.09615203814234138 ...................
[CV]  c1=0.3289455668352127, c2=0.09615203814234138, score=0.694592 -   1.0s
[CV] c1=0.2367301064339354, c2=0.21886621622029612 ...................
[CV]  c1=0.2367301064339354, c2=0.21886621622029612, score=0.841368 -   1.2s
[CV] c1=0.7121609008982106, c2=0.02716095785981051 ...................
[CV]  c1=0.7121609008982106, c2=0.02716095785981051, score=0.724296 -   1.0s
[CV] c1=0.9384420652273061, c2=0.11908922811484078 ...................
[CV]  c1=0.9384420652273061, c2=0.11908922811484078, score=0.574859 -   1.0s
[CV] c1=0.38199781124108534, c2=0.0740983331384552 ...................
[CV]  c1=0.38199781124108534, c2=0.0740983331384552, score=0.698369 -   1.0s
[CV] c1=0.22834916889037074, c2=0.014078093211639426 .................
[CV]  c1=0.22834916889037074, c2=0.014078093211639426, score=0.884235 -   1.3s
[CV] c1=0.6889745465822767, c2=0.07258322404567126 ...................
[CV]  c1=0.6889745465822767, c2=0.07258322404567126, score=0.848531 -   1.2s
[CV] c1=0.29080151634141227, c2=0.0051538604103045435 ................
[CV]  c1=0.29080151634141227, c2=0.0051538604103045435, score=0.784498 -   1.3s
[CV] c1=0.6796722080989017, c2=0.025663466539605204 ..................
[CV]  c1=0.6796722080989017, c2=0.025663466539605204, score=0.773057 -   1.3s
[CV] c1=0.2676998921284431, c2=0.09906414403712638 ...................
[CV]  c1=0.2676998921284431, c2=0.09906414403712638, score=0.660251 -   1.0s
[CV] c1=0.3296477340738978, c2=0.07252103151210158 ...................
[CV]  c1=0.3296477340738978, c2=0.07252103151210158, score=0.820287 -   1.1s
[CV] c1=1.302022543977716, c2=0.01215011485096799 ....................
[CV]  c1=1.302022543977716, c2=0.01215011485096799, score=0.627831 -   1.3s
[CV] c1=0.09543803979127931, c2=0.02839366820902291 ..................
[CV]  c1=0.09543803979127931, c2=0.02839366820902291, score=0.778183 -   1.3s
[CV] c1=0.3289455668352127, c2=0.09615203814234138 ...................
[CV]  c1=0.3289455668352127, c2=0.09615203814234138, score=0.732916 -   1.1s
[CV] c1=1.0136516021469635, c2=0.015097504956787165 ..................
[CV]  c1=1.0136516021469635, c2=0.015097504956787165, score=0.843850 -   1.3s
[CV] c1=0.6654280799571827, c2=0.014363819171346166 ..................
[CV]  c1=0.6654280799571827, c2=0.014363819171346166, score=0.779350 -   1.3s
[CV] c1=0.3929556210837176, c2=0.050585310812173725 ..................
[CV]  c1=0.3929556210837176, c2=0.050585310812173725, score=0.737690 -   1.3s
[CV] c1=0.10930788821271871, c2=0.008807840714887983 .................
[CV]  c1=0.10930788821271871, c2=0.008807840714887983, score=0.873761 -   1.3s
[CV] c1=0.8102418661308898, c2=0.04283532131970492 ...................
[CV]  c1=0.8102418661308898, c2=0.04283532131970492, score=0.723336 -   1.4s
[CV] c1=0.29080151634141227, c2=0.0051538604103045435 ................
[CV]  c1=0.29080151634141227, c2=0.0051538604103045435, score=0.888359 -   1.3s
[CV] c1=0.6796722080989017, c2=0.025663466539605204 ..................
[CV]  c1=0.6796722080989017, c2=0.025663466539605204, score=0.772615 -   1.3s
[CV] c1=0.2676998921284431, c2=0.09906414403712638 ...................
[CV]  c1=0.2676998921284431, c2=0.09906414403712638, score=0.832722 -   1.1s
[CV] c1=0.02134798367868712, c2=0.06167282902283827 ..................
[CV]  c1=0.02134798367868712, c2=0.06167282902283827, score=0.814477 -   1.3s
[CV] c1=0.4324511163595765, c2=0.03274547486760031 ...................
[CV]  c1=0.4324511163595765, c2=0.03274547486760031, score=0.861887 -   1.2s
[CV] c1=0.635502634749938, c2=0.10308135254922557 ....................
[CV]  c1=0.635502634749938, c2=0.10308135254922557, score=0.833226 -   1.3s
[CV] c1=0.3164056031130173, c2=0.007315146554657501 ..................
[CV]  c1=0.3164056031130173, c2=0.007315146554657501, score=0.792400 -   1.2s
[CV] c1=0.872997608919998, c2=0.027962424185363894 ...................
[CV]  c1=0.872997608919998, c2=0.027962424185363894, score=0.759452 -   1.2s
[CV] c1=1.5829362925562753, c2=0.005364566798471009 ..................
[CV]  c1=1.5829362925562753, c2=0.005364566798471009, score=0.706899 -   1.1s
[CV] c1=0.38199781124108534, c2=0.0740983331384552 ...................
[CV]  c1=0.38199781124108534, c2=0.0740983331384552, score=0.861741 -   1.2s
[CV] c1=0.7728205164498356, c2=0.11754444827577828 ...................
[CV]  c1=0.7728205164498356, c2=0.11754444827577828, score=0.826931 -   1.2s
[CV] c1=0.08613150121754856, c2=0.024611402509052527 .................
[CV]  c1=0.08613150121754856, c2=0.024611402509052527, score=0.673453 -   1.0s
[CV] c1=0.1345687430556738, c2=0.06199231283829877 ...................
[CV]  c1=0.1345687430556738, c2=0.06199231283829877, score=0.779102 -   1.2s
[CV] c1=0.3912703160019724, c2=0.09929971283000533 ...................
[CV]  c1=0.3912703160019724, c2=0.09929971283000533, score=0.773080 -   1.3s
[CV] c1=0.3074145926661543, c2=0.025152560938732166 ..................
[CV]  c1=0.3074145926661543, c2=0.025152560938732166, score=0.876445 -   1.3s
[CV] c1=0.7740578969479679, c2=0.053230766587879924 ..................
[CV]  c1=0.7740578969479679, c2=0.053230766587879924, score=0.690896 -   0.9s
[CV] c1=0.7736363182684719, c2=0.04857807257250504 ...................
[CV]  c1=0.7736363182684719, c2=0.04857807257250504, score=0.724296 -   1.0s
[CV] c1=0.3938694568506802, c2=0.06877594429515116 ...................
[CV]  c1=0.3938694568506802, c2=0.06877594429515116, score=0.777404 -   1.4s
[CV] c1=0.635502634749938, c2=0.10308135254922557 ....................
[CV]  c1=0.635502634749938, c2=0.10308135254922557, score=0.687808 -   1.2s
[CV] c1=0.3164056031130173, c2=0.007315146554657501 ..................
[CV]  c1=0.3164056031130173, c2=0.007315146554657501, score=0.840659 -   1.2s
[CV] c1=0.872997608919998, c2=0.027962424185363894 ...................
[CV]  c1=0.872997608919998, c2=0.027962424185363894, score=0.677879 -   1.3s
[CV] c1=1.5829362925562753, c2=0.005364566798471009 ..................
[CV]  c1=1.5829362925562753, c2=0.005364566798471009, score=0.551286 -   1.3s
[CV] c1=0.34084564764753605, c2=0.11761068180910475 ..................
[CV]  c1=0.34084564764753605, c2=0.11761068180910475, score=0.710378 -   1.2s
[CV] c1=0.033945917315239243, c2=0.06721343501561564 .................
[CV]  c1=0.033945917315239243, c2=0.06721343501561564, score=0.874129 -   1.2s
[CV] c1=0.02137026666921521, c2=0.01818361273824258 ..................
[CV]  c1=0.02137026666921521, c2=0.01818361273824258, score=0.714998 -   0.9s
[CV] c1=0.8057792870552595, c2=0.015921968538724907 ..................
[CV]  c1=0.8057792870552595, c2=0.015921968538724907, score=0.728036 -   1.2s
[CV] c1=0.9115428683141059, c2=0.12386061985326502 ...................
[CV]  c1=0.9115428683141059, c2=0.12386061985326502, score=0.645241 -   1.1s
[CV] c1=0.3074145926661543, c2=0.025152560938732166 ..................
[CV]  c1=0.3074145926661543, c2=0.025152560938732166, score=0.773449 -   1.2s
[CV] c1=0.02134798367868712, c2=0.06167282902283827 ..................
[CV]  c1=0.02134798367868712, c2=0.06167282902283827, score=0.844198 -   1.2s
[CV] c1=0.3938694568506802, c2=0.06877594429515116 ...................
[CV]  c1=0.3938694568506802, c2=0.06877594429515116, score=0.736078 -   1.2s
[CV] c1=1.0279741747904017, c2=0.0772186464216485 ....................
[CV]  c1=1.0279741747904017, c2=0.0772186464216485, score=0.725149 -   1.2s
[CV] c1=0.031801523003838046, c2=0.0067115920971268775 ...............
[CV]  c1=0.031801523003838046, c2=0.0067115920971268775, score=0.718216 -   0.9s
[CV] c1=0.3333841751122194, c2=0.026169574443332164 ..................
[CV]  c1=0.3333841751122194, c2=0.026169574443332164, score=0.826545 -   1.2s
[CV] c1=3.9763474256235676, c2=0.07216414083398885 ...................
[CV]  c1=3.9763474256235676, c2=0.07216414083398885, score=0.438813 -   1.2s
[CV] c1=0.3929556210837176, c2=0.050585310812173725 ..................
[CV]  c1=0.3929556210837176, c2=0.050585310812173725, score=0.774809 -   1.3s
[CV] c1=0.10930788821271871, c2=0.008807840714887983 .................
[CV]  c1=0.10930788821271871, c2=0.008807840714887983, score=0.804943 -   1.3s
[CV] c1=0.18149244802340775, c2=0.002721169585365028 .................
[CV]  c1=0.18149244802340775, c2=0.002721169585365028, score=0.789140 -   1.2s
[CV] c1=0.1345687430556738, c2=0.06199231283829877 ...................
[CV]  c1=0.1345687430556738, c2=0.06199231283829877, score=0.779998 -   1.2s
[CV] c1=0.3912703160019724, c2=0.09929971283000533 ...................
[CV]  c1=0.3912703160019724, c2=0.09929971283000533, score=0.852985 -   1.5s
[CV] c1=0.2676998921284431, c2=0.09906414403712638 ...................
[CV]  c1=0.2676998921284431, c2=0.09906414403712638, score=0.863202 -   1.1s
[CV] c1=0.7740578969479679, c2=0.053230766587879924 ..................
[CV]  c1=0.7740578969479679, c2=0.053230766587879924, score=0.765882 -   1.1s
[CV] c1=1.302022543977716, c2=0.01215011485096799 ....................
[CV]  c1=1.302022543977716, c2=0.01215011485096799, score=0.638624 -   1.0s
[CV] c1=0.4324511163595765, c2=0.03274547486760031 ...................
[CV]  c1=0.4324511163595765, c2=0.03274547486760031, score=0.841049 -   1.2s
[CV] c1=0.635502634749938, c2=0.10308135254922557 ....................
[CV]  c1=0.635502634749938, c2=0.10308135254922557, score=0.751765 -   1.3s
[CV] c1=0.8774230128170851, c2=0.05588816574239345 ...................
[CV]  c1=0.8774230128170851, c2=0.05588816574239345, score=0.646819 -   1.3s
[CV] c1=0.9584484524828271, c2=0.030366500707119267 ..................
[CV]  c1=0.9584484524828271, c2=0.030366500707119267, score=0.651473 -   1.3s
[CV] c1=0.5534946837939742, c2=0.0466952473584082 ....................
[CV]  c1=0.5534946837939742, c2=0.0466952473584082, score=0.757806 -   1.2s
[CV] c1=0.34084564764753605, c2=0.11761068180910475 ..................
[CV]  c1=0.34084564764753605, c2=0.11761068180910475, score=0.692787 -   1.0s
[CV] c1=0.7728205164498356, c2=0.11754444827577828 ...................
[CV]  c1=0.7728205164498356, c2=0.11754444827577828, score=0.644029 -   1.3s
[CV] c1=2.3661627458803878, c2=0.07854164276220599 ...................
[CV]  c1=2.3661627458803878, c2=0.07854164276220599, score=0.636697 -   1.3s
[CV] c1=2.051775576858116, c2=0.025529256255681726 ...................
[CV]  c1=2.051775576858116, c2=0.025529256255681726, score=0.594611 -   1.3s
[CV] c1=0.36347676906824644, c2=0.0015774544251532293 ................
[CV]  c1=0.36347676906824644, c2=0.0015774544251532293, score=0.878470 -   1.2s
[CV] c1=0.4894202472190727, c2=0.029621418558877146 ..................
[CV]  c1=0.4894202472190727, c2=0.029621418558877146, score=0.745182 -   0.8s
[CV] c1=0.5548651469734359, c2=0.03784274484042165 ...................
[CV]  c1=0.5548651469734359, c2=0.03784274484042165, score=0.707305 -   1.3s
[CV] c1=0.3803196820168182, c2=0.13869818945423168 ...................
[CV]  c1=0.3803196820168182, c2=0.13869818945423168, score=0.679288 -   1.0s
[CV] c1=0.4765232484232529, c2=0.07310073509224733 ...................
[CV]  c1=0.4765232484232529, c2=0.07310073509224733, score=0.697934 -   1.3s
[CV] c1=0.34165196865518765, c2=0.05203332868496363 ..................
[CV]  c1=0.34165196865518765, c2=0.05203332868496363, score=0.761842 -   1.2s
[CV] c1=0.28375146018622677, c2=0.03968625317329469 ..................
[CV]  c1=0.28375146018622677, c2=0.03968625317329469, score=0.804849 -   1.3s
[CV] c1=1.2259455673144606, c2=0.06562635515138555 ...................
[CV]  c1=1.2259455673144606, c2=0.06562635515138555, score=0.817700 -   1.3s
[CV] c1=0.12869197265073581, c2=0.03946143881828923 ..................
[CV]  c1=0.12869197265073581, c2=0.03946143881828923, score=0.794240 -   1.3s
[CV] c1=0.22834916889037074, c2=0.014078093211639426 .................
[CV]  c1=0.22834916889037074, c2=0.014078093211639426, score=0.841599 -   1.3s
[CV] c1=0.08613150121754856, c2=0.024611402509052527 .................
[CV]  c1=0.08613150121754856, c2=0.024611402509052527, score=0.880718 -   1.4s
[CV] c1=2.051775576858116, c2=0.025529256255681726 ...................
[CV]  c1=2.051775576858116, c2=0.025529256255681726, score=0.589153 -   1.0s
[CV] c1=0.9115428683141059, c2=0.12386061985326502 ...................
[CV]  c1=0.9115428683141059, c2=0.12386061985326502, score=0.814107 -   1.3s
[CV] c1=0.2676998921284431, c2=0.09906414403712638 ...................
[CV]  c1=0.2676998921284431, c2=0.09906414403712638, score=0.748295 -   1.1s
[CV] c1=0.02268316821415593, c2=0.14461241266057515 ..................
[CV]  c1=0.02268316821415593, c2=0.14461241266057515, score=0.872091 -   1.2s
[CV] c1=0.9273893886275426, c2=0.02189160856922861 ...................
[CV]  c1=0.9273893886275426, c2=0.02189160856922861, score=0.634380 -   1.2s
[CV] c1=0.4765232484232529, c2=0.07310073509224733 ...................
[CV]  c1=0.4765232484232529, c2=0.07310073509224733, score=0.734707 -   1.1s
[CV] c1=0.3289455668352127, c2=0.09615203814234138 ...................
[CV]  c1=0.3289455668352127, c2=0.09615203814234138, score=0.856641 -   1.3s
[CV] c1=1.0136516021469635, c2=0.015097504956787165 ..................
[CV]  c1=1.0136516021469635, c2=0.015097504956787165, score=0.737907 -   1.2s
[CV] c1=0.6654280799571827, c2=0.014363819171346166 ..................
[CV]  c1=0.6654280799571827, c2=0.014363819171346166, score=0.733744 -   0.9s
[CV] c1=0.9384420652273061, c2=0.11908922811484078 ...................
[CV]  c1=0.9384420652273061, c2=0.11908922811484078, score=0.819087 -   1.2s
[CV] c1=0.34084564764753605, c2=0.11761068180910475 ..................
[CV]  c1=0.34084564764753605, c2=0.11761068180910475, score=0.851535 -   1.2s
[CV] c1=0.1884232989913022, c2=0.18566193995043412 ...................
[CV]  c1=0.1884232989913022, c2=0.18566193995043412, score=0.710321 -   1.3s
[CV] c1=0.02137026666921521, c2=0.01818361273824258 ..................
[CV]  c1=0.02137026666921521, c2=0.01818361273824258, score=0.876086 -   1.2s
[CV] c1=0.5472841405086236, c2=0.021773622910256203 ..................
[CV]  c1=0.5472841405086236, c2=0.021773622910256203, score=0.856731 -   1.3s
[CV] c1=0.36347676906824644, c2=0.0015774544251532293 ................
[CV]  c1=0.36347676906824644, c2=0.0015774544251532293, score=0.723469 -   1.0s
[CV] c1=0.42929784979700725, c2=0.10869361791334563 ..................
[CV]  c1=0.42929784979700725, c2=0.10869361791334563, score=0.684309 -   0.9s
[CV] c1=0.5147671497584984, c2=0.015152389343953056 ..................
[CV]  c1=0.5147671497584984, c2=0.015152389343953056, score=0.738349 -   1.1s
[CV] c1=0.7736363182684719, c2=0.04857807257250504 ...................
[CV]  c1=0.7736363182684719, c2=0.04857807257250504, score=0.721589 -   1.3s
[CV] c1=0.05844225538064267, c2=0.08936350925461076 ..................
[CV]  c1=0.05844225538064267, c2=0.08936350925461076, score=0.688579 -   1.0s
[CV] c1=0.635502634749938, c2=0.10308135254922557 ....................
[CV]  c1=0.635502634749938, c2=0.10308135254922557, score=0.688782 -   1.1s
[CV] c1=0.031801523003838046, c2=0.0067115920971268775 ...............
[CV]  c1=0.031801523003838046, c2=0.0067115920971268775, score=0.841518 -   1.2s
[CV] c1=1.1898876758543477, c2=0.03997960601813582 ...................
[CV]  c1=1.1898876758543477, c2=0.03997960601813582, score=0.645241 -   1.4s
[CV] c1=1.2259455673144606, c2=0.06562635515138555 ...................
[CV]  c1=1.2259455673144606, c2=0.06562635515138555, score=0.579851 -   1.4s
[CV] c1=0.38199781124108534, c2=0.0740983331384552 ...................
[CV]  c1=0.38199781124108534, c2=0.0740983331384552, score=0.744845 -   1.2s
[CV] c1=0.1884232989913022, c2=0.18566193995043412 ...................
[CV]  c1=0.1884232989913022, c2=0.18566193995043412, score=0.656992 -   0.9s
[CV] c1=0.6889745465822767, c2=0.07258322404567126 ...................
[CV]  c1=0.6889745465822767, c2=0.07258322404567126, score=0.780561 -   1.3s
[CV] c1=0.8057792870552595, c2=0.015921968538724907 ..................
[CV]  c1=0.8057792870552595, c2=0.015921968538724907, score=0.712362 -   1.0s
[CV] c1=0.6796722080989017, c2=0.025663466539605204 ..................
[CV]  c1=0.6796722080989017, c2=0.025663466539605204, score=0.693908 -   1.3s
[CV] c1=0.3074145926661543, c2=0.025152560938732166 ..................
[CV]  c1=0.3074145926661543, c2=0.025152560938732166, score=0.844633 -   1.1s
[CV] c1=0.3296477340738978, c2=0.07252103151210158 ...................
[CV]  c1=0.3296477340738978, c2=0.07252103151210158, score=0.659591 -   1.0s
[CV] c1=0.19396254395526147, c2=0.013191885603165083 .................
[CV]  c1=0.19396254395526147, c2=0.013191885603165083, score=0.887426 -   1.3s
[CV] c1=0.05844225538064267, c2=0.08936350925461076 ..................
[CV]  c1=0.05844225538064267, c2=0.08936350925461076, score=0.841599 -   1.2s
[CV] c1=0.09477844343803477, c2=0.048288092955139826 .................
[CV]  c1=0.09477844343803477, c2=0.048288092955139826, score=0.788597 -   1.3s
[CV] c1=0.2367301064339354, c2=0.21886621622029612 ...................
[CV]  c1=0.2367301064339354, c2=0.21886621622029612, score=0.685821 -   1.0s
[CV] c1=0.9584484524828271, c2=0.030366500707119267 ..................
[CV]  c1=0.9584484524828271, c2=0.030366500707119267, score=0.672124 -   1.0s
[CV] c1=1.5829362925562753, c2=0.005364566798471009 ..................
[CV]  c1=1.5829362925562753, c2=0.005364566798471009, score=0.622325 -   1.3s
[CV] c1=0.38199781124108534, c2=0.0740983331384552 ...................
[CV]  c1=0.38199781124108534, c2=0.0740983331384552, score=0.741973 -   1.3s
[CV] c1=0.1884232989913022, c2=0.18566193995043412 ...................
[CV]  c1=0.1884232989913022, c2=0.18566193995043412, score=0.860385 -   1.3s
[CV] c1=2.3661627458803878, c2=0.07854164276220599 ...................
[CV]  c1=2.3661627458803878, c2=0.07854164276220599, score=0.576942 -   1.0s
[CV] c1=0.29080151634141227, c2=0.0051538604103045435 ................
[CV]  c1=0.29080151634141227, c2=0.0051538604103045435, score=0.816240 -   1.4s
[CV] c1=0.9115428683141059, c2=0.12386061985326502 ...................
[CV]  c1=0.9115428683141059, c2=0.12386061985326502, score=0.575528 -   1.3s
[CV] c1=0.42929784979700725, c2=0.10869361791334563 ..................
[CV]  c1=0.42929784979700725, c2=0.10869361791334563, score=0.700091 -   1.0s
[CV] c1=0.5548651469734359, c2=0.03784274484042165 ...................
[CV]  c1=0.5548651469734359, c2=0.03784274484042165, score=0.762415 -   1.3s
[CV] c1=0.3803196820168182, c2=0.13869818945423168 ...................
[CV]  c1=0.3803196820168182, c2=0.13869818945423168, score=0.764464 -   1.3s
[CV] c1=1.0279741747904017, c2=0.0772186464216485 ....................
[CV]  c1=1.0279741747904017, c2=0.0772186464216485, score=0.645241 -   1.3s
[CV] c1=0.031801523003838046, c2=0.0067115920971268775 ...............
[CV]  c1=0.031801523003838046, c2=0.0067115920971268775, score=0.777791 -   1.3s
[CV] c1=1.1898876758543477, c2=0.03997960601813582 ...................
[CV]  c1=1.1898876758543477, c2=0.03997960601813582, score=0.580914 -   1.3s
[CV] c1=1.5829362925562753, c2=0.005364566798471009 ..................
[CV]  c1=1.5829362925562753, c2=0.005364566798471009, score=0.793127 -   1.4s
[CV] c1=0.38199781124108534, c2=0.0740983331384552 ...................
[CV]  c1=0.38199781124108534, c2=0.0740983331384552, score=0.817324 -   1.2s
[CV] c1=0.7728205164498356, c2=0.11754444827577828 ...................
[CV]  c1=0.7728205164498356, c2=0.11754444827577828, score=0.718672 -   1.2s
[CV] c1=0.08613150121754856, c2=0.024611402509052527 .................
[CV]  c1=0.08613150121754856, c2=0.024611402509052527, score=0.774599 -   1.2s
[CV] c1=0.8057792870552595, c2=0.015921968538724907 ..................
[CV]  c1=0.8057792870552595, c2=0.015921968538724907, score=0.719137 -   1.3s
[CV] c1=0.4062142914243634, c2=0.14963595989632886 ...................
[CV]  c1=0.4062142914243634, c2=0.14963595989632886, score=0.849842 -   1.2s
[CV] c1=0.42929784979700725, c2=0.10869361791334563 ..................
[CV]  c1=0.42929784979700725, c2=0.10869361791334563, score=0.861514 -   1.0s
[CV] c1=0.02268316821415593, c2=0.14461241266057515 ..................
[CV]  c1=0.02268316821415593, c2=0.14461241266057515, score=0.833204 -   1.4s
[CV] c1=0.3803196820168182, c2=0.13869818945423168 ...................
[CV]  c1=0.3803196820168182, c2=0.13869818945423168, score=0.698195 -   1.2s
[CV] c1=0.04569502832741405, c2=0.015955871189802698 .................
[CV]  c1=0.04569502832741405, c2=0.015955871189802698, score=0.772038 -   1.3s
[CV] c1=0.031801523003838046, c2=0.0067115920971268775 ...............
[CV]  c1=0.031801523003838046, c2=0.0067115920971268775, score=0.880424 -   1.3s
[CV] c1=1.1898876758543477, c2=0.03997960601813582 ...................
[CV]  c1=1.1898876758543477, c2=0.03997960601813582, score=0.708675 -   1.2s
[CV] c1=1.2259455673144606, c2=0.06562635515138555 ...................
[CV]  c1=1.2259455673144606, c2=0.06562635515138555, score=0.632247 -   1.3s
[CV] c1=0.12869197265073581, c2=0.03946143881828923 ..................
[CV]  c1=0.12869197265073581, c2=0.03946143881828923, score=0.778183 -   1.3s
[CV] c1=0.7728205164498356, c2=0.11754444827577828 ...................
[CV]  c1=0.7728205164498356, c2=0.11754444827577828, score=0.687253 -   1.0s
[CV] c1=0.6889745465822767, c2=0.07258322404567126 ...................
[CV]  c1=0.6889745465822767, c2=0.07258322404567126, score=0.666329 -   1.3s
[CV] c1=0.8057792870552595, c2=0.015921968538724907 ..................
[CV]  c1=0.8057792870552595, c2=0.015921968538724907, score=0.854414 -   1.3s
[CV] c1=0.9115428683141059, c2=0.12386061985326502 ...................
[CV]  c1=0.9115428683141059, c2=0.12386061985326502, score=0.693411 -   1.2s
[CV] c1=0.2676998921284431, c2=0.09906414403712638 ...................
[CV]  c1=0.2676998921284431, c2=0.09906414403712638, score=0.790922 -   1.0s
[CV] c1=0.39005486279865353, c2=0.00936659744462834 ..................
[CV]  c1=0.39005486279865353, c2=0.00936659744462834, score=0.688949 -   1.0s
[CV] c1=1.302022543977716, c2=0.01215011485096799 ....................
[CV]  c1=1.302022543977716, c2=0.01215011485096799, score=0.824257 -   1.3s
[CV] c1=0.09543803979127931, c2=0.02839366820902291 ..................
[CV]  c1=0.09543803979127931, c2=0.02839366820902291, score=0.656948 -   1.0s
[CV] c1=0.09477844343803477, c2=0.048288092955139826 .................
[CV]  c1=0.09477844343803477, c2=0.048288092955139826, score=0.882966 -   1.2s
[CV] c1=0.8774230128170851, c2=0.05588816574239345 ...................
[CV]  c1=0.8774230128170851, c2=0.05588816574239345, score=0.635096 -   1.0s
[CV] c1=0.872997608919998, c2=0.027962424185363894 ...................
[CV]  c1=0.872997608919998, c2=0.027962424185363894, score=0.678271 -   1.0s
[CV] c1=1.2259455673144606, c2=0.06562635515138555 ...................
[CV]  c1=1.2259455673144606, c2=0.06562635515138555, score=0.566384 -   1.0s
[CV] c1=0.9388494753946851, c2=0.014753987004915146 ..................
[CV]  c1=0.9388494753946851, c2=0.014753987004915146, score=0.688489 -   1.0s
[CV] c1=2.0171399079544705, c2=0.19023469836175977 ...................
[CV]  c1=2.0171399079544705, c2=0.19023469836175977, score=0.550491 -   1.0s
[CV] c1=0.033945917315239243, c2=0.06721343501561564 .................
[CV]  c1=0.033945917315239243, c2=0.06721343501561564, score=0.844198 -   1.2s
[CV] c1=0.02137026666921521, c2=0.01818361273824258 ..................
[CV]  c1=0.02137026666921521, c2=0.01818361273824258, score=0.858720 -   1.2s
[CV] c1=0.5472841405086236, c2=0.021773622910256203 ..................
[CV]  c1=0.5472841405086236, c2=0.021773622910256203, score=0.742724 -   1.1s
[CV] c1=0.4062142914243634, c2=0.14963595989632886 ...................
[CV]  c1=0.4062142914243634, c2=0.14963595989632886, score=0.772974 -   1.2s
[CV] c1=0.4894202472190727, c2=0.029621418558877146 ..................
[CV]  c1=0.4894202472190727, c2=0.029621418558877146, score=0.859873 -   0.9s
[CV] c1=0.5548651469734359, c2=0.03784274484042165 ...................
[CV]  c1=0.5548651469734359, c2=0.03784274484042165, score=0.840046 -   1.3s
[CV] c1=0.9177006913740996, c2=0.014940099411628239 ..................
[CV]  c1=0.9177006913740996, c2=0.014940099411628239, score=0.716081 -   1.3s
[CV] c1=0.04569502832741405, c2=0.015955871189802698 .................
[CV]  c1=0.04569502832741405, c2=0.015955871189802698, score=0.674439 -   1.0s
[CV] c1=0.9519886074369309, c2=0.06308144661217538 ...................
[CV]  c1=0.9519886074369309, c2=0.06308144661217538, score=0.658973 -   1.0s
[CV] c1=1.0136516021469635, c2=0.015097504956787165 ..................
[CV]  c1=1.0136516021469635, c2=0.015097504956787165, score=0.627526 -   1.0s
[CV] c1=0.9584484524828271, c2=0.030366500707119267 ..................
[CV]  c1=0.9584484524828271, c2=0.030366500707119267, score=0.634380 -   1.3s
[CV] c1=0.5534946837939742, c2=0.0466952473584082 ....................
[CV]  c1=0.5534946837939742, c2=0.0466952473584082, score=0.774809 -   1.3s
[CV] c1=0.8805044448525946, c2=0.025032835896355427 ..................
[CV]  c1=0.8805044448525946, c2=0.025032835896355427, score=0.643441 -   1.0s
[CV] c1=0.1884232989913022, c2=0.18566193995043412 ...................
[CV]  c1=0.1884232989913022, c2=0.18566193995043412, score=0.740250 -   1.3s
[CV] c1=0.02137026666921521, c2=0.01818361273824258 ..................
[CV]  c1=0.02137026666921521, c2=0.01818361273824258, score=0.810820 -   1.3s
[CV] c1=1.3226482768495176, c2=0.04947412772811835 ...................
[CV]  c1=1.3226482768495176, c2=0.04947412772811835, score=0.626321 -   1.3s
[CV] c1=0.21655925128149306, c2=0.003129773767205326 .................
[CV]  c1=0.21655925128149306, c2=0.003129773767205326, score=0.683884 -   1.0s
[CV] c1=0.4894202472190727, c2=0.029621418558877146 ..................
[CV]  c1=0.4894202472190727, c2=0.029621418558877146, score=0.726696 -   0.9s
[CV] c1=1.0119037651687632, c2=0.06470772414056715 ...................
[CV]  c1=1.0119037651687632, c2=0.06470772414056715, score=0.729569 -   1.1s
[CV] c1=0.3803196820168182, c2=0.13869818945423168 ...................
[CV]  c1=0.3803196820168182, c2=0.13869818945423168, score=0.860178 -   1.2s
[CV] c1=0.04569502832741405, c2=0.015955871189802698 .................
[CV]  c1=0.04569502832741405, c2=0.015955871189802698, score=0.807772 -   1.3s
[CV] c1=0.24010568136998142, c2=0.04811632398526265 ..................
[CV]  c1=0.24010568136998142, c2=0.04811632398526265, score=0.842504 -   1.2s
[CV] c1=0.03310514474960945, c2=0.02262543973608695 ..................
[CV]  c1=0.03310514474960945, c2=0.02262543973608695, score=0.810820 -   1.3s
[CV] c1=0.12829803860822095, c2=0.010612416375306535 .................
[CV]  c1=0.12829803860822095, c2=0.010612416375306535, score=0.852286 -   1.2s
[CV] c1=0.7178006342040231, c2=0.00313601927853638 ...................
[CV]  c1=0.7178006342040231, c2=0.00313601927853638, score=0.721431 -   1.0s
[CV] c1=2.0171399079544705, c2=0.19023469836175977 ...................
[CV]  c1=2.0171399079544705, c2=0.19023469836175977, score=0.540603 -   1.2s
[CV] c1=0.8102418661308898, c2=0.04283532131970492 ...................
[CV]  c1=0.8102418661308898, c2=0.04283532131970492, score=0.847220 -   1.2s
[CV] c1=0.9909992569298991, c2=0.0881300890729514 ....................
[CV]  c1=0.9909992569298991, c2=0.0881300890729514, score=0.611760 -   1.0s
[CV] c1=1.3226482768495176, c2=0.04947412772811835 ...................
[CV]  c1=1.3226482768495176, c2=0.04947412772811835, score=0.710520 -   1.1s
[CV] c1=0.12206423520457003, c2=0.09118107936957488 ..................
[CV]  c1=0.12206423520457003, c2=0.09118107936957488, score=0.702756 -   1.0s
[CV] c1=0.42929784979700725, c2=0.10869361791334563 ..................
[CV]  c1=0.42929784979700725, c2=0.10869361791334563, score=0.776873 -   1.0s
[CV] c1=0.5548651469734359, c2=0.03784274484042165 ...................
[CV]  c1=0.5548651469734359, c2=0.03784274484042165, score=0.778577 -   1.2s
[CV] c1=0.9177006913740996, c2=0.014940099411628239 ..................
[CV]  c1=0.9177006913740996, c2=0.014940099411628239, score=0.690896 -   1.0s
[CV] c1=1.488945849478584, c2=0.10256205733363587 ....................
[CV]  c1=1.488945849478584, c2=0.10256205733363587, score=0.701196 -   1.2s
[CV] c1=0.3289455668352127, c2=0.09615203814234138 ...................
[CV]  c1=0.3289455668352127, c2=0.09615203814234138, score=0.825424 -   1.2s
[CV] c1=1.0136516021469635, c2=0.015097504956787165 ..................
[CV]  c1=1.0136516021469635, c2=0.015097504956787165, score=0.651473 -   1.2s
[CV] c1=0.6654280799571827, c2=0.014363819171346166 ..................
[CV]  c1=0.6654280799571827, c2=0.014363819171346166, score=0.715805 -   1.2s
[CV] c1=0.01937014832158589, c2=0.08529207621438922 ..................
[CV]  c1=0.01937014832158589, c2=0.08529207621438922, score=0.680744 -   1.0s
[CV] c1=0.34084564764753605, c2=0.11761068180910475 ..................
[CV]  c1=0.34084564764753605, c2=0.11761068180910475, score=0.781820 -   1.3s
[CV] c1=0.033945917315239243, c2=0.06721343501561564 .................
[CV]  c1=0.033945917315239243, c2=0.06721343501561564, score=0.804790 -   1.3s
[CV] c1=0.02137026666921521, c2=0.01818361273824258 ..................
[CV]  c1=0.02137026666921521, c2=0.01818361273824258, score=0.793557 -   1.3s
[CV] c1=1.3226482768495176, c2=0.04947412772811835 ...................
[CV]  c1=1.3226482768495176, c2=0.04947412772811835, score=0.569706 -   1.0s
[CV] c1=0.4062142914243634, c2=0.14963595989632886 ...................
[CV]  c1=0.4062142914243634, c2=0.14963595989632886, score=0.692805 -   1.2s
[CV] c1=0.42929784979700725, c2=0.10869361791334563 ..................
[CV]  c1=0.42929784979700725, c2=0.10869361791334563, score=0.814030 -   1.0s
[CV] c1=0.7740578969479679, c2=0.053230766587879924 ..................
[CV]  c1=0.7740578969479679, c2=0.053230766587879924, score=0.666329 -   1.4s
[CV] c1=0.9273893886275426, c2=0.02189160856922861 ...................
[CV]  c1=0.9273893886275426, c2=0.02189160856922861, score=0.854414 -   1.2s
[CV] c1=1.488945849478584, c2=0.10256205733363587 ....................
[CV]  c1=1.488945849478584, c2=0.10256205733363587, score=0.600582 -   1.3s
[CV] c1=0.9519886074369309, c2=0.06308144661217538 ...................
[CV]  c1=0.9519886074369309, c2=0.06308144661217538, score=0.838684 -   1.4s
[CV] c1=0.28375146018622677, c2=0.03968625317329469 ..................
[CV]  c1=0.28375146018622677, c2=0.03968625317329469, score=0.763005 -   1.3s
[CV] c1=0.12829803860822095, c2=0.010612416375306535 .................
[CV]  c1=0.12829803860822095, c2=0.010612416375306535, score=0.876583 -   1.3s
[CV] c1=0.7178006342040231, c2=0.00313601927853638 ...................
[CV]  c1=0.7178006342040231, c2=0.00313601927853638, score=0.809215 -   1.2s
[CV] c1=0.9592932806338305, c2=0.12336669704173381 ...................
[CV]  c1=0.9592932806338305, c2=0.12336669704173381, score=0.575528 -   1.3s
[CV] c1=0.6889745465822767, c2=0.07258322404567126 ...................
[CV]  c1=0.6889745465822767, c2=0.07258322404567126, score=0.690669 -   1.0s
[CV] c1=0.1345687430556738, c2=0.06199231283829877 ...................
[CV]  c1=0.1345687430556738, c2=0.06199231283829877, score=0.702756 -   0.9s
[CV] c1=0.11731830929813147, c2=0.013432201909625727 .................
[CV]  c1=0.11731830929813147, c2=0.013432201909625727, score=0.666504 -   1.0s
[CV] c1=0.36347676906824644, c2=0.0015774544251532293 ................
[CV]  c1=0.36347676906824644, c2=0.0015774544251532293, score=0.788472 -   1.2s
[CV] c1=0.35743608710766556, c2=0.03630869960427179 ..................
[CV]  c1=0.35743608710766556, c2=0.03630869960427179, score=0.869152 -   0.9s
[CV] c1=0.5147671497584984, c2=0.015152389343953056 ..................
[CV]  c1=0.5147671497584984, c2=0.015152389343953056, score=0.786337 -   1.1s
[CV] c1=0.19396254395526147, c2=0.013191885603165083 .................
[CV]  c1=0.19396254395526147, c2=0.013191885603165083, score=0.787182 -   1.3s
[CV] c1=0.09543803979127931, c2=0.02839366820902291 ..................
[CV]  c1=0.09543803979127931, c2=0.02839366820902291, score=0.885922 -   1.2s
[CV] c1=1.6644120765605372, c2=0.07072951500802747 ...................
[CV]  c1=1.6644120765605372, c2=0.07072951500802747, score=0.608252 -   1.0s
[CV] c1=0.8774230128170851, c2=0.05588816574239345 ...................
[CV]  c1=0.8774230128170851, c2=0.05588816574239345, score=0.849795 -   1.2s
[CV] c1=0.9584484524828271, c2=0.030366500707119267 ..................
[CV]  c1=0.9584484524828271, c2=0.030366500707119267, score=0.847768 -   1.3s
[CV] c1=0.9384420652273061, c2=0.11908922811484078 ...................
[CV]  c1=0.9384420652273061, c2=0.11908922811484078, score=0.713148 -   1.2s
[CV] c1=0.34084564764753605, c2=0.11761068180910475 ..................
[CV]  c1=0.34084564764753605, c2=0.11761068180910475, score=0.814030 -   1.2s
[CV] c1=0.1884232989913022, c2=0.18566193995043412 ...................
[CV]  c1=0.1884232989913022, c2=0.18566193995043412, score=0.819977 -   1.2s
[CV] c1=2.3661627458803878, c2=0.07854164276220599 ...................
[CV]  c1=2.3661627458803878, c2=0.07854164276220599, score=0.555074 -   1.2s
[CV] c1=2.051775576858116, c2=0.025529256255681726 ...................
[CV]  c1=2.051775576858116, c2=0.025529256255681726, score=0.671749 -   1.3s
[CV] c1=0.4062142914243634, c2=0.14963595989632886 ...................
[CV]  c1=0.4062142914243634, c2=0.14963595989632886, score=0.759982 -   1.3s
[CV] c1=0.4894202472190727, c2=0.029621418558877146 ..................
[CV]  c1=0.4894202472190727, c2=0.029621418558877146, score=0.802817 -   0.9s
[CV] c1=0.02134798367868712, c2=0.06167282902283827 ..................
[CV]  c1=0.02134798367868712, c2=0.06167282902283827, score=0.676049 -   1.0s
[CV] c1=0.9177006913740996, c2=0.014940099411628239 ..................
[CV]  c1=0.9177006913740996, c2=0.014940099411628239, score=0.685118 -   1.2s
[CV] c1=0.8825481657442561, c2=0.011721677864218365 ..................
[CV]  c1=0.8825481657442561, c2=0.011721677864218365, score=0.790201 -   1.2s
[CV] c1=0.34165196865518765, c2=0.05203332868496363 ..................
[CV]  c1=0.34165196865518765, c2=0.05203332868496363, score=0.667183 -   1.0s
[CV] c1=0.3333841751122194, c2=0.026169574443332164 ..................
[CV]  c1=0.3333841751122194, c2=0.026169574443332164, score=0.868332 -   1.4s
[CV] c1=3.9763474256235676, c2=0.07216414083398885 ...................
[CV]  c1=3.9763474256235676, c2=0.07216414083398885, score=0.418963 -   1.2s
[CV] c1=0.9388494753946851, c2=0.014753987004915146 ..................
[CV]  c1=0.9388494753946851, c2=0.014753987004915146, score=0.854414 -   1.2s
[CV] c1=0.10930788821271871, c2=0.008807840714887983 .................
[CV]  c1=0.10930788821271871, c2=0.008807840714887983, score=0.691858 -   1.1s
[CV] c1=2.5002235220231657, c2=0.023465161287941905 ..................
[CV]  c1=2.5002235220231657, c2=0.023465161287941905, score=0.575209 -   1.0s
[CV] c1=0.23062965783449382, c2=0.03898977075825048 ..................
[CV]  c1=0.23062965783449382, c2=0.03898977075825048, score=0.892144 -   1.2s
[CV] c1=1.3226482768495176, c2=0.04947412772811835 ...................
[CV]  c1=1.3226482768495176, c2=0.04947412772811835, score=0.822923 -   1.2s
[CV] c1=0.36347676906824644, c2=0.0015774544251532293 ................
[CV]  c1=0.36347676906824644, c2=0.0015774544251532293, score=0.792646 -   1.3s
[CV] c1=0.35743608710766556, c2=0.03630869960427179 ..................
[CV]  c1=0.35743608710766556, c2=0.03630869960427179, score=0.750014 -   0.9s
[CV] c1=0.3296477340738978, c2=0.07252103151210158 ...................
[CV]  c1=0.3296477340738978, c2=0.07252103151210158, score=0.796534 -   1.3s
[CV] c1=0.9273893886275426, c2=0.02189160856922861 ...................
[CV]  c1=0.9273893886275426, c2=0.02189160856922861, score=0.658803 -   1.2s
[CV] c1=0.4765232484232529, c2=0.07310073509224733 ...................
[CV]  c1=0.4765232484232529, c2=0.07310073509224733, score=0.846358 -   1.2s
[CV] c1=0.9519886074369309, c2=0.06308144661217538 ...................
[CV]  c1=0.9519886074369309, c2=0.06308144661217538, score=0.646819 -   1.3s
[CV] c1=0.28375146018622677, c2=0.03968625317329469 ..................
[CV]  c1=0.28375146018622677, c2=0.03968625317329469, score=0.698459 -   1.0s
[CV] c1=0.6654280799571827, c2=0.014363819171346166 ..................
[CV]  c1=0.6654280799571827, c2=0.014363819171346166, score=0.778577 -   1.2s
[CV] c1=0.01937014832158589, c2=0.08529207621438922 ..................
[CV]  c1=0.01937014832158589, c2=0.08529207621438922, score=0.806887 -   1.2s
[CV] c1=0.8805044448525946, c2=0.025032835896355427 ..................
[CV]  c1=0.8805044448525946, c2=0.025032835896355427, score=0.671246 -   1.3s
[CV] c1=2.5002235220231657, c2=0.023465161287941905 ..................
[CV]  c1=2.5002235220231657, c2=0.023465161287941905, score=0.647029 -   1.3s
[CV] c1=0.04392312766464652, c2=0.03482328441191339 ..................
[CV]  c1=0.04392312766464652, c2=0.03482328441191339, score=0.677974 -   1.0s
[CV] c1=0.5472841405086236, c2=0.021773622910256203 ..................
[CV]  c1=0.5472841405086236, c2=0.021773622910256203, score=0.799539 -   1.2s
[CV] c1=0.36347676906824644, c2=0.0015774544251532293 ................
[CV]  c1=0.36347676906824644, c2=0.0015774544251532293, score=0.845461 -   1.2s
[CV] c1=0.4894202472190727, c2=0.029621418558877146 ..................
[CV]  c1=0.4894202472190727, c2=0.029621418558877146, score=0.771605 -   1.0s
Training done in: 17.213908s
     Saving training model...
        Saving training model done in: 0.013136s
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Prediction done in: 0.026820s