-------------------------------- 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: Run1
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: 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: 0.003755s
-------------------------------- 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
--------------------------- FeaturesTest -----------------------------
           0           1
0      lemma  delta-arca
1     postag          NN
2   -1:lemma           _
3  -1:postag          NN
4   +1:lemma           _
5  +1:postag          CD
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=1.3643991823802442, c2=0.03448935640482643 ...................
[CV]  c1=1.3643991823802442, c2=0.03448935640482643, score=0.556615 -   1.2s
[CV] c1=0.8095850505706417, c2=0.02058690117322744 ...................
[CV]  c1=0.8095850505706417, c2=0.02058690117322744, score=0.675864 -   1.1s
[CV] c1=0.5362533794490421, c2=0.18367542880317075 ...................
[CV]  c1=0.5362533794490421, c2=0.18367542880317075, score=0.831755 -   1.1s
[CV] c1=0.25308449477028466, c2=0.11587073766900519 ..................
[CV]  c1=0.25308449477028466, c2=0.11587073766900519, score=0.860723 -   1.1s
[CV] c1=0.10506316645931477, c2=0.05778475710257881 ..................
[CV]  c1=0.10506316645931477, c2=0.05778475710257881, score=0.766527 -   1.1s
[CV] c1=0.39400907292259685, c2=0.05594971162068866 ..................
[CV]  c1=0.39400907292259685, c2=0.05594971162068866, score=0.796366 -   1.1s
[CV] c1=0.45315702981588957, c2=0.011735563011050767 .................
[CV]  c1=0.45315702981588957, c2=0.011735563011050767, score=0.696758 -   0.8s
[CV] c1=0.8829601516395045, c2=0.0059629008686582635 .................
[CV]  c1=0.8829601516395045, c2=0.0059629008686582635, score=0.672197 -   0.8s
[CV] c1=0.15960260917124205, c2=0.041985021787275395 .................
[CV]  c1=0.15960260917124205, c2=0.041985021787275395, score=0.876917 -   1.1s
[CV] c1=1.065879495820999, c2=0.2011930882252224 .....................
[CV]  c1=1.065879495820999, c2=0.2011930882252224, score=0.652869 -   1.0s
[CV] c1=0.2590009513589756, c2=0.14210158928458475 ...................
[CV]  c1=0.2590009513589756, c2=0.14210158928458475, score=0.713423 -   1.1s
[CV] c1=0.6178567498505799, c2=0.008844040206746276 ..................
[CV]  c1=0.6178567498505799, c2=0.008844040206746276, score=0.791160 -   1.2s
[CV] c1=0.42320289875598116, c2=0.11219132924012197 ..................
[CV]  c1=0.42320289875598116, c2=0.11219132924012197, score=0.777850 -   1.2s
[CV] c1=1.037044709855394, c2=0.010894255489344671 ...................
[CV]  c1=1.037044709855394, c2=0.010894255489344671, score=0.834160 -   1.1s
[CV] c1=0.189440587905853, c2=0.024921625963680617 ...................
[CV]  c1=0.189440587905853, c2=0.024921625963680617, score=0.805432 -   1.1s
[CV] c1=0.1578436197228811, c2=0.020043203848268215 ..................
[CV]  c1=0.1578436197228811, c2=0.020043203848268215, score=0.893744 -   1.0s
[CV] c1=0.10506316645931477, c2=0.05778475710257881 ..................
[CV]  c1=0.10506316645931477, c2=0.05778475710257881, score=0.668577 -   0.9s
[CV] c1=0.7482798890271057, c2=0.014454252213869829 ..................
[CV]  c1=0.7482798890271057, c2=0.014454252213869829, score=0.682738 -   1.1s
[CV] c1=0.5669507714845071, c2=0.06055739958186136 ...................
[CV]  c1=0.5669507714845071, c2=0.06055739958186136, score=0.652118 -   0.9s
[CV] c1=0.6697374088388889, c2=0.024903115175159137 ..................
[CV]  c1=0.6697374088388889, c2=0.024903115175159137, score=0.779508 -   1.1s
[CV] c1=0.15960260917124205, c2=0.041985021787275395 .................
[CV]  c1=0.15960260917124205, c2=0.041985021787275395, score=0.803566 -   1.0s
[CV] c1=1.065879495820999, c2=0.2011930882252224 .....................
[CV]  c1=1.065879495820999, c2=0.2011930882252224, score=0.598400 -   1.1s
[CV] c1=0.9501041516344042, c2=0.010767431473419051 ..................
[CV]  c1=0.9501041516344042, c2=0.010767431473419051, score=0.830335 -   1.1s
[CV] c1=0.24094442798473356, c2=0.06883086612302829 ..................
[CV]  c1=0.24094442798473356, c2=0.06883086612302829, score=0.882779 -   1.2s
[CV] c1=0.4056001316952749, c2=0.007558642260138993 ..................
[CV]  c1=0.4056001316952749, c2=0.007558642260138993, score=0.770506 -   1.0s
[CV] c1=0.28274547118413845, c2=0.12993459196836268 ..................
[CV]  c1=0.28274547118413845, c2=0.12993459196836268, score=0.659964 -   0.9s
[CV] c1=0.015672040378983478, c2=0.010190627328354802 ................
[CV]  c1=0.015672040378983478, c2=0.010190627328354802, score=0.825429 -   1.1s
[CV] c1=0.5362533794490421, c2=0.18367542880317075 ...................
[CV]  c1=0.5362533794490421, c2=0.18367542880317075, score=0.759066 -   1.2s
[CV] c1=0.022534832324446835, c2=0.0014675030795171292 ...............
[CV]  c1=0.022534832324446835, c2=0.0014675030795171292, score=0.828454 -   1.2s
[CV] c1=0.8842258667988727, c2=0.041133180177796394 ..................
[CV]  c1=0.8842258667988727, c2=0.041133180177796394, score=0.745036 -   1.1s
[CV] c1=0.47212746352541374, c2=0.10373725747513814 ..................
[CV]  c1=0.47212746352541374, c2=0.10373725747513814, score=0.732467 -   1.1s
[CV] c1=0.6697374088388889, c2=0.024903115175159137 ..................
[CV]  c1=0.6697374088388889, c2=0.024903115175159137, score=0.835201 -   1.1s
[CV] c1=0.8071580570946087, c2=0.07214633064852448 ...................
[CV]  c1=0.8071580570946087, c2=0.07214633064852448, score=0.660853 -   1.1s
[CV] c1=1.1087214136836172, c2=0.03418689906292207 ...................
[CV]  c1=1.1087214136836172, c2=0.03418689906292207, score=0.626819 -   1.1s
[CV] c1=0.2590009513589756, c2=0.14210158928458475 ...................
[CV]  c1=0.2590009513589756, c2=0.14210158928458475, score=0.658028 -   0.9s
[CV] c1=0.0018289305439149793, c2=0.04406859759586499 ................
[CV]  c1=0.0018289305439149793, c2=0.04406859759586499, score=0.822926 -   1.2s
[CV] c1=0.07061447721589459, c2=0.04294624774315289 ..................
[CV]  c1=0.07061447721589459, c2=0.04294624774315289, score=0.773043 -   1.1s
[CV] c1=0.015672040378983478, c2=0.010190627328354802 ................
[CV]  c1=0.015672040378983478, c2=0.010190627328354802, score=0.891725 -   1.0s
[CV] c1=0.5362533794490421, c2=0.18367542880317075 ...................
[CV]  c1=0.5362533794490421, c2=0.18367542880317075, score=0.643710 -   0.9s
[CV] c1=0.3284158352449635, c2=0.012296020245429912 ..................
[CV]  c1=0.3284158352449635, c2=0.012296020245429912, score=0.835236 -   1.1s
[CV] c1=0.10988110452927356, c2=0.10071158309801363 ..................
[CV]  c1=0.10988110452927356, c2=0.10071158309801363, score=0.874540 -   1.1s
[CV] c1=0.33016291798014374, c2=0.09578177932368644 ..................
[CV]  c1=0.33016291798014374, c2=0.09578177932368644, score=0.739210 -   1.0s
[CV] c1=0.6419051962762737, c2=0.051600899603407205 ..................
[CV]  c1=0.6419051962762737, c2=0.051600899603407205, score=0.830434 -   1.1s
[CV] c1=0.8829601516395045, c2=0.0059629008686582635 .................
[CV]  c1=0.8829601516395045, c2=0.0059629008686582635, score=0.840674 -   1.0s
[CV] c1=0.176849311768949, c2=0.0013552400893732906 ..................
[CV]  c1=0.176849311768949, c2=0.0013552400893732906, score=0.877803 -   1.1s
[CV] c1=0.11765903588951024, c2=0.08201602608608699 ..................
[CV]  c1=0.11765903588951024, c2=0.08201602608608699, score=0.810484 -   1.0s
[CV] c1=0.06794328077005028, c2=0.04787362191681498 ..................
[CV]  c1=0.06794328077005028, c2=0.04787362191681498, score=0.817929 -   1.0s
[CV] c1=0.06725675898350479, c2=0.018471481200484124 .................
[CV]  c1=0.06725675898350479, c2=0.018471481200484124, score=0.664619 -   0.9s
[CV] c1=0.07061447721589459, c2=0.04294624774315289 ..................
[CV]  c1=0.07061447721589459, c2=0.04294624774315289, score=0.826344 -   1.2s
[CV] c1=0.8095850505706417, c2=0.02058690117322744 ...................
[CV]  c1=0.8095850505706417, c2=0.02058690117322744, score=0.708269 -   1.0s
[CV] c1=0.4022747683014055, c2=0.04905917792702114 ...................
[CV]  c1=0.4022747683014055, c2=0.04905917792702114, score=0.799191 -   1.1s
[CV] c1=0.25308449477028466, c2=0.11587073766900519 ..................
[CV]  c1=0.25308449477028466, c2=0.11587073766900519, score=0.659964 -   0.8s
[CV] c1=0.5934822231838669, c2=0.031324881170768225 ..................
[CV]  c1=0.5934822231838669, c2=0.031324881170768225, score=0.795109 -   1.1s
[CV] c1=0.7482798890271057, c2=0.014454252213869829 ..................
[CV]  c1=0.7482798890271057, c2=0.014454252213869829, score=0.685290 -   1.1s
[CV] c1=0.6419051962762737, c2=0.051600899603407205 ..................
[CV]  c1=0.6419051962762737, c2=0.051600899603407205, score=0.777990 -   1.0s
[CV] c1=0.31223701977543694, c2=0.002903436177889532 .................
[CV]  c1=0.31223701977543694, c2=0.002903436177889532, score=0.792128 -   1.1s
[CV] c1=0.176849311768949, c2=0.0013552400893732906 ..................
[CV]  c1=0.176849311768949, c2=0.0013552400893732906, score=0.673482 -   0.9s
[CV] c1=0.06765203201219268, c2=0.05015799024768766 ..................
[CV]  c1=0.06765203201219268, c2=0.05015799024768766, score=0.897578 -   1.0s
[CV] c1=0.2590009513589756, c2=0.14210158928458475 ...................
[CV]  c1=0.2590009513589756, c2=0.14210158928458475, score=0.773487 -   1.1s
[CV] c1=0.6178567498505799, c2=0.008844040206746276 ..................
[CV]  c1=0.6178567498505799, c2=0.008844040206746276, score=0.818304 -   1.0s
[CV] c1=1.664958478086892, c2=0.08227815235300205 ....................
[CV]  c1=1.664958478086892, c2=0.08227815235300205, score=0.600014 -   1.1s
[CV] c1=1.688205186362874, c2=0.011913490427680565 ...................
[CV]  c1=1.688205186362874, c2=0.011913490427680565, score=0.605269 -   1.2s
[CV] c1=1.0551289435426758, c2=0.08669608223719208 ...................
[CV]  c1=1.0551289435426758, c2=0.08669608223719208, score=0.544765 -   0.9s
[CV] c1=0.32751735244901453, c2=0.02967789329181711 ..................
[CV]  c1=0.32751735244901453, c2=0.02967789329181711, score=0.775326 -   1.2s
[CV] c1=0.4262888277399236, c2=0.17760065771548184 ...................
[CV]  c1=0.4262888277399236, c2=0.17760065771548184, score=0.840940 -   1.2s
[CV] c1=0.2150551236171111, c2=0.07400673079255439 ...................
[CV]  c1=0.2150551236171111, c2=0.07400673079255439, score=0.661368 -   0.9s
[CV] c1=0.36610296714062807, c2=0.005343091151643414 .................
[CV]  c1=0.36610296714062807, c2=0.005343091151643414, score=0.868370 -   1.1s
[CV] c1=0.6697374088388889, c2=0.024903115175159137 ..................
[CV]  c1=0.6697374088388889, c2=0.024903115175159137, score=0.788435 -   1.1s
[CV] c1=0.8071580570946087, c2=0.07214633064852448 ...................
[CV]  c1=0.8071580570946087, c2=0.07214633064852448, score=0.745036 -   1.1s
[CV] c1=1.1087214136836172, c2=0.03418689906292207 ...................
[CV]  c1=1.1087214136836172, c2=0.03418689906292207, score=0.713277 -   1.1s
[CV] c1=0.2590009513589756, c2=0.14210158928458475 ...................
[CV]  c1=0.2590009513589756, c2=0.14210158928458475, score=0.848976 -   1.1s
[CV] c1=0.6178567498505799, c2=0.008844040206746276 ..................
[CV]  c1=0.6178567498505799, c2=0.008844040206746276, score=0.736624 -   1.1s
[CV] c1=0.12217789421964005, c2=0.0008081550810304027 ................
[CV]  c1=0.12217789421964005, c2=0.0008081550810304027, score=0.794891 -   1.2s
[CV] c1=1.037044709855394, c2=0.010894255489344671 ...................
[CV]  c1=1.037044709855394, c2=0.010894255489344671, score=0.664556 -   1.1s
[CV] c1=0.189440587905853, c2=0.024921625963680617 ...................
[CV]  c1=0.189440587905853, c2=0.024921625963680617, score=0.779059 -   1.2s
[CV] c1=0.1578436197228811, c2=0.020043203848268215 ..................
[CV]  c1=0.1578436197228811, c2=0.020043203848268215, score=0.844272 -   1.2s
[CV] c1=0.3467807878188996, c2=0.03493830769285612 ...................
[CV]  c1=0.3467807878188996, c2=0.03493830769285612, score=0.660714 -   0.9s
[CV] c1=0.33016291798014374, c2=0.09578177932368644 ..................
[CV]  c1=0.33016291798014374, c2=0.09578177932368644, score=0.777850 -   1.1s
[CV] c1=0.08893161160102143, c2=0.205016864927159 ....................
[CV]  c1=0.08893161160102143, c2=0.205016864927159, score=0.662007 -   1.0s
[CV] c1=0.8829601516395045, c2=0.0059629008686582635 .................
[CV]  c1=0.8829601516395045, c2=0.0059629008686582635, score=0.680184 -   1.1s
[CV] c1=0.176849311768949, c2=0.0013552400893732906 ..................
[CV]  c1=0.176849311768949, c2=0.0013552400893732906, score=0.848061 -   1.1s
[CV] c1=0.4423025102682281, c2=0.009339224098826114 ..................
[CV]  c1=0.4423025102682281, c2=0.009339224098826114, score=0.863016 -   1.1s
[CV] c1=1.0924818718837075, c2=0.05001922230857924 ...................
[CV]  c1=1.0924818718837075, c2=0.05001922230857924, score=0.572435 -   0.8s
[CV] c1=0.24094442798473356, c2=0.06883086612302829 ..................
[CV]  c1=0.24094442798473356, c2=0.06883086612302829, score=0.767272 -   1.1s
[CV] c1=0.07061447721589459, c2=0.04294624774315289 ..................
[CV]  c1=0.07061447721589459, c2=0.04294624774315289, score=0.662455 -   0.9s
[CV] c1=0.038828060661606795, c2=0.14299502807373313 .................
[CV]  c1=0.038828060661606795, c2=0.14299502807373313, score=0.781051 -   1.2s
[CV] c1=0.189440587905853, c2=0.024921625963680617 ...................
[CV]  c1=0.189440587905853, c2=0.024921625963680617, score=0.664636 -   0.9s
[CV] c1=0.6110826244625434, c2=0.007388954994510595 ..................
[CV]  c1=0.6110826244625434, c2=0.007388954994510595, score=0.833410 -   1.1s
[CV] c1=0.04003682521047494, c2=0.03566500762855086 ..................
[CV]  c1=0.04003682521047494, c2=0.03566500762855086, score=0.770483 -   1.1s
[CV] c1=0.7482798890271057, c2=0.014454252213869829 ..................
[CV]  c1=0.7482798890271057, c2=0.014454252213869829, score=0.676101 -   0.9s
[CV] c1=0.36610296714062807, c2=0.005343091151643414 .................
[CV]  c1=0.36610296714062807, c2=0.005343091151643414, score=0.786752 -   1.1s
[CV] c1=0.697926978079478, c2=0.17369590426908854 ....................
[CV]  c1=0.697926978079478, c2=0.17369590426908854, score=0.647595 -   1.1s
[CV] c1=0.14904739373893766, c2=0.011050740445279221 .................
[CV]  c1=0.14904739373893766, c2=0.011050740445279221, score=0.873645 -   1.0s
[CV] c1=0.06765203201219268, c2=0.05015799024768766 ..................
[CV]  c1=0.06765203201219268, c2=0.05015799024768766, score=0.676534 -   0.9s
[CV] c1=0.043726354776421235, c2=0.05310974720031697 .................
[CV]  c1=0.043726354776421235, c2=0.05310974720031697, score=0.820474 -   1.1s
[CV] c1=0.6178567498505799, c2=0.008844040206746276 ..................
[CV]  c1=0.6178567498505799, c2=0.008844040206746276, score=0.845855 -   1.1s
[CV] c1=1.664958478086892, c2=0.08227815235300205 ....................
[CV]  c1=1.664958478086892, c2=0.08227815235300205, score=0.679571 -   0.9s
[CV] c1=0.28274547118413845, c2=0.12993459196836268 ..................
[CV]  c1=0.28274547118413845, c2=0.12993459196836268, score=0.848976 -   1.2s
[CV] c1=0.18649092929527233, c2=0.09153335689198082 ..................
[CV]  c1=0.18649092929527233, c2=0.09153335689198082, score=0.798948 -   1.1s
[CV] c1=0.32298756434542586, c2=0.013093956790118245 .................
[CV]  c1=0.32298756434542586, c2=0.013093956790118245, score=0.798273 -   1.2s
[CV] c1=0.4262888277399236, c2=0.17760065771548184 ...................
[CV]  c1=0.4262888277399236, c2=0.17760065771548184, score=0.698485 -   1.1s
[CV] c1=0.16116166162707934, c2=0.008773582375983146 .................
[CV]  c1=0.16116166162707934, c2=0.008773582375983146, score=0.820664 -   1.1s
[CV] c1=2.311047813970151, c2=0.15851902521252595 ....................
[CV]  c1=2.311047813970151, c2=0.15851902521252595, score=0.433863 -   0.9s
[CV] c1=0.24008199625112556, c2=0.04920716800043354 ..................
[CV]  c1=0.24008199625112556, c2=0.04920716800043354, score=0.771179 -   1.1s
[CV] c1=0.8071580570946087, c2=0.07214633064852448 ...................
[CV]  c1=0.8071580570946087, c2=0.07214633064852448, score=0.822725 -   1.1s
[CV] c1=1.1087214136836172, c2=0.03418689906292207 ...................
[CV]  c1=1.1087214136836172, c2=0.03418689906292207, score=0.572435 -   0.9s
[CV] c1=0.25634443701191384, c2=0.013926984738391941 .................
[CV]  c1=0.25634443701191384, c2=0.013926984738391941, score=0.821386 -   1.2s
[CV] c1=0.9875925563597505, c2=0.06853060092152241 ...................
[CV]  c1=0.9875925563597505, c2=0.06853060092152241, score=0.598175 -   1.1s
[CV] c1=0.42320289875598116, c2=0.11219132924012197 ..................
[CV]  c1=0.42320289875598116, c2=0.11219132924012197, score=0.732467 -   1.1s
[CV] c1=0.7533570009536483, c2=0.04822975774174896 ...................
[CV]  c1=0.7533570009536483, c2=0.04822975774174896, score=0.825310 -   1.1s
[CV] c1=0.19798495639661928, c2=0.06021047498660015 ..................
[CV]  c1=0.19798495639661928, c2=0.06021047498660015, score=0.881233 -   1.1s
[CV] c1=0.3284158352449635, c2=0.012296020245429912 ..................
[CV]  c1=0.3284158352449635, c2=0.012296020245429912, score=0.781562 -   1.2s
[CV] c1=0.10506316645931477, c2=0.05778475710257881 ..................
[CV]  c1=0.10506316645931477, c2=0.05778475710257881, score=0.892967 -   1.1s
[CV] c1=0.39400907292259685, c2=0.05594971162068866 ..................
[CV]  c1=0.39400907292259685, c2=0.05594971162068866, score=0.855765 -   1.1s
[CV] c1=0.08893161160102143, c2=0.205016864927159 ....................
[CV]  c1=0.08893161160102143, c2=0.205016864927159, score=0.769423 -   1.1s
[CV] c1=0.1549574729906881, c2=0.10874334691233332 ...................
[CV]  c1=0.1549574729906881, c2=0.10874334691233332, score=0.663495 -   0.8s
[CV] c1=0.14904739373893766, c2=0.011050740445279221 .................
[CV]  c1=0.14904739373893766, c2=0.011050740445279221, score=0.807249 -   1.1s
[CV] c1=0.11765903588951024, c2=0.08201602608608699 ..................
[CV]  c1=0.11765903588951024, c2=0.08201602608608699, score=0.884459 -   1.1s
[CV] c1=0.06794328077005028, c2=0.04787362191681498 ..................
[CV]  c1=0.06794328077005028, c2=0.04787362191681498, score=0.801994 -   1.2s
[CV] c1=0.8380530900496229, c2=0.024517508877545925 ..................
[CV]  c1=0.8380530900496229, c2=0.024517508877545925, score=0.644347 -   0.8s
[CV] c1=0.794027286589017, c2=0.06939557675184511 ....................
[CV]  c1=0.794027286589017, c2=0.06939557675184511, score=0.685477 -   1.1s
[CV] c1=0.038828060661606795, c2=0.14299502807373313 .................
[CV]  c1=0.038828060661606795, c2=0.14299502807373313, score=0.799483 -   1.0s
[CV] c1=1.0551289435426758, c2=0.08669608223719208 ...................
[CV]  c1=1.0551289435426758, c2=0.08669608223719208, score=0.703682 -   1.1s
[CV] c1=0.2634220132567798, c2=0.025672744042985696 ..................
[CV]  c1=0.2634220132567798, c2=0.025672744042985696, score=0.797090 -   1.1s
[CV] c1=0.04003682521047494, c2=0.03566500762855086 ..................
[CV]  c1=0.04003682521047494, c2=0.03566500762855086, score=0.824968 -   1.1s
[CV] c1=0.2150551236171111, c2=0.07400673079255439 ...................
[CV]  c1=0.2150551236171111, c2=0.07400673079255439, score=0.754547 -   1.1s
[CV] c1=2.311047813970151, c2=0.15851902521252595 ....................
[CV]  c1=2.311047813970151, c2=0.15851902521252595, score=0.477666 -   1.2s
[CV] c1=0.31223701977543694, c2=0.002903436177889532 .................
[CV]  c1=0.31223701977543694, c2=0.002903436177889532, score=0.835236 -   1.0s
[CV] c1=0.14904739373893766, c2=0.011050740445279221 .................
[CV]  c1=0.14904739373893766, c2=0.011050740445279221, score=0.850522 -   1.0s
[CV] c1=0.06765203201219268, c2=0.05015799024768766 ..................
[CV]  c1=0.06765203201219268, c2=0.05015799024768766, score=0.792532 -   1.1s
[CV] c1=0.06794328077005028, c2=0.04787362191681498 ..................
[CV]  c1=0.06794328077005028, c2=0.04787362191681498, score=0.901285 -   1.1s
[CV] c1=0.06725675898350479, c2=0.018471481200484124 .................
[CV]  c1=0.06725675898350479, c2=0.018471481200484124, score=0.893261 -   1.0s
[CV] c1=0.912599034216794, c2=0.04829899537610136 ....................
[CV]  c1=0.912599034216794, c2=0.04829899537610136, score=0.626819 -   1.2s
[CV] c1=0.038828060661606795, c2=0.14299502807373313 .................
[CV]  c1=0.038828060661606795, c2=0.14299502807373313, score=0.668299 -   0.9s
[CV] c1=0.8240957713892926, c2=0.13842287768606668 ...................
[CV]  c1=0.8240957713892926, c2=0.13842287768606668, score=0.580660 -   0.9s
[CV] c1=0.32298756434542586, c2=0.013093956790118245 .................
[CV]  c1=0.32298756434542586, c2=0.013093956790118245, score=0.774458 -   1.1s
[CV] c1=0.022534832324446835, c2=0.0014675030795171292 ...............
[CV]  c1=0.022534832324446835, c2=0.0014675030795171292, score=0.843761 -   1.1s
[CV] c1=1.1292660161120431, c2=0.009271739483778334 ..................
[CV]  c1=1.1292660161120431, c2=0.009271739483778334, score=0.718789 -   1.0s
[CV] c1=0.3545340853044585, c2=0.0631006278152007 ....................
[CV]  c1=0.3545340853044585, c2=0.0631006278152007, score=0.796366 -   1.2s
[CV] c1=0.24008199625112556, c2=0.04920716800043354 ..................
[CV]  c1=0.24008199625112556, c2=0.04920716800043354, score=0.814904 -   1.1s
[CV] c1=0.22634286159825617, c2=0.18199119858116594 ..................
[CV]  c1=0.22634286159825617, c2=0.18199119858116594, score=0.776168 -   1.2s
[CV] c1=1.065879495820999, c2=0.2011930882252224 .....................
[CV]  c1=1.065879495820999, c2=0.2011930882252224, score=0.770889 -   1.2s
[CV] c1=0.9501041516344042, c2=0.010767431473419051 ..................
[CV]  c1=0.9501041516344042, c2=0.010767431473419051, score=0.664556 -   1.2s
[CV] c1=0.06725675898350479, c2=0.018471481200484124 .................
[CV]  c1=0.06725675898350479, c2=0.018471481200484124, score=0.843034 -   1.0s
[CV] c1=1.3643991823802442, c2=0.03448935640482643 ...................
[CV]  c1=1.3643991823802442, c2=0.03448935640482643, score=0.610901 -   1.1s
[CV] c1=0.8095850505706417, c2=0.02058690117322744 ...................
[CV]  c1=0.8095850505706417, c2=0.02058690117322744, score=0.827962 -   1.1s
[CV] c1=0.4022747683014055, c2=0.04905917792702114 ...................
[CV]  c1=0.4022747683014055, c2=0.04905917792702114, score=0.863453 -   1.1s
[CV] c1=0.1578436197228811, c2=0.020043203848268215 ..................
[CV]  c1=0.1578436197228811, c2=0.020043203848268215, score=0.807249 -   1.1s
[CV] c1=0.10506316645931477, c2=0.05778475710257881 ..................
[CV]  c1=0.10506316645931477, c2=0.05778475710257881, score=0.810732 -   1.1s
[CV] c1=0.39400907292259685, c2=0.05594971162068866 ..................
[CV]  c1=0.39400907292259685, c2=0.05594971162068866, score=0.827057 -   1.0s
[CV] c1=0.08893161160102143, c2=0.205016864927159 ....................
[CV]  c1=0.08893161160102143, c2=0.205016864927159, score=0.728609 -   1.1s
[CV] c1=0.1549574729906881, c2=0.10874334691233332 ...................
[CV]  c1=0.1549574729906881, c2=0.10874334691233332, score=0.750420 -   1.1s
[CV] c1=0.24968729219111682, c2=0.0009053269277575258 ................
[CV]  c1=0.24968729219111682, c2=0.0009053269277575258, score=0.696860 -   0.9s
[CV] c1=0.11765903588951024, c2=0.08201602608608699 ..................
[CV]  c1=0.11765903588951024, c2=0.08201602608608699, score=0.770375 -   1.1s
[CV] c1=1.0924818718837075, c2=0.05001922230857924 ...................
[CV]  c1=1.0924818718837075, c2=0.05001922230857924, score=0.807951 -   1.1s
[CV] c1=0.8380530900496229, c2=0.024517508877545925 ..................
[CV]  c1=0.8380530900496229, c2=0.024517508877545925, score=0.830871 -   1.0s
[CV] c1=0.794027286589017, c2=0.06939557675184511 ....................
[CV]  c1=0.794027286589017, c2=0.06939557675184511, score=0.825414 -   1.1s
[CV] c1=0.09858597122007064, c2=0.020960252018397 ....................
[CV]  c1=0.09858597122007064, c2=0.020960252018397, score=0.893261 -   1.1s
[CV] c1=1.0551289435426758, c2=0.08669608223719208 ...................
[CV]  c1=1.0551289435426758, c2=0.08669608223719208, score=0.802552 -   1.1s
[CV] c1=0.2634220132567798, c2=0.025672744042985696 ..................
[CV]  c1=0.2634220132567798, c2=0.025672744042985696, score=0.668577 -   0.9s
[CV] c1=0.5260485090433902, c2=0.04861008216141439 ...................
[CV]  c1=0.5260485090433902, c2=0.04861008216141439, score=0.838674 -   1.1s
[CV] c1=1.1292660161120431, c2=0.009271739483778334 ..................
[CV]  c1=1.1292660161120431, c2=0.009271739483778334, score=0.631699 -   1.0s
[CV] c1=0.47212746352541374, c2=0.10373725747513814 ..................
[CV]  c1=0.47212746352541374, c2=0.10373725747513814, score=0.652118 -   0.9s
[CV] c1=0.45315702981588957, c2=0.011735563011050767 .................
[CV]  c1=0.45315702981588957, c2=0.011735563011050767, score=0.790238 -   1.1s
[CV] c1=0.6366513178875657, c2=0.028037214168413534 ..................
[CV]  c1=0.6366513178875657, c2=0.028037214168413534, score=0.678025 -   0.8s
[CV] c1=0.8168126270143602, c2=0.20270730308069518 ...................
[CV]  c1=0.8168126270143602, c2=0.20270730308069518, score=0.593874 -   1.1s
[CV] c1=0.44673442519068596, c2=0.04904753494357623 ..................
[CV]  c1=0.44673442519068596, c2=0.04904753494357623, score=0.730540 -   1.1s
[CV] c1=0.12067796246603653, c2=0.005851911044620918 .................
[CV]  c1=0.12067796246603653, c2=0.005851911044620918, score=0.849063 -   1.0s
[CV] c1=1.063746599678589, c2=0.0045136781399391845 ..................
[CV]  c1=1.063746599678589, c2=0.0045136781399391845, score=0.621244 -   0.9s
[CV] c1=0.912599034216794, c2=0.04829899537610136 ....................
[CV]  c1=0.912599034216794, c2=0.04829899537610136, score=0.607676 -   0.7s
[CV] c1=0.6276252516679414, c2=0.032019909622853344 ..................
[CV]  c1=0.6276252516679414, c2=0.032019909622853344, score=0.815363 -   1.1s
[CV] c1=0.015672040378983478, c2=0.010190627328354802 ................
[CV]  c1=0.015672040378983478, c2=0.010190627328354802, score=0.770483 -   1.1s
[CV] c1=0.32298756434542586, c2=0.013093956790118245 .................
[CV]  c1=0.32298756434542586, c2=0.013093956790118245, score=0.877696 -   1.1s
[CV] c1=0.022534832324446835, c2=0.0014675030795171292 ...............
[CV]  c1=0.022534832324446835, c2=0.0014675030795171292, score=0.732922 -   0.9s
[CV] c1=0.3467807878188996, c2=0.03493830769285612 ...................
[CV]  c1=0.3467807878188996, c2=0.03493830769285612, score=0.832488 -   1.1s
[CV] c1=0.2681468706696149, c2=0.021543862683904503 ..................
[CV]  c1=0.2681468706696149, c2=0.021543862683904503, score=0.696646 -   0.9s
[CV] c1=0.08893161160102143, c2=0.205016864927159 ....................
[CV]  c1=0.08893161160102143, c2=0.205016864927159, score=0.839959 -   1.1s
[CV] c1=0.1549574729906881, c2=0.10874334691233332 ...................
[CV]  c1=0.1549574729906881, c2=0.10874334691233332, score=0.803909 -   1.0s
[CV] c1=0.8168126270143602, c2=0.20270730308069518 ...................
[CV]  c1=0.8168126270143602, c2=0.20270730308069518, score=0.664095 -   1.1s
[CV] c1=0.4423025102682281, c2=0.009339224098826114 ..................
[CV]  c1=0.4423025102682281, c2=0.009339224098826114, score=0.695371 -   0.9s
[CV] c1=0.9501041516344042, c2=0.010767431473419051 ..................
[CV]  c1=0.9501041516344042, c2=0.010767431473419051, score=0.720525 -   1.1s
[CV] c1=0.24094442798473356, c2=0.06883086612302829 ..................
[CV]  c1=0.24094442798473356, c2=0.06883086612302829, score=0.773232 -   1.1s
[CV] c1=1.3643991823802442, c2=0.03448935640482643 ...................
[CV]  c1=1.3643991823802442, c2=0.03448935640482643, score=0.523073 -   0.9s
[CV] c1=0.09858597122007064, c2=0.020960252018397 ....................
[CV]  c1=0.09858597122007064, c2=0.020960252018397, score=0.776499 -   1.1s
[CV] c1=0.19798495639661928, c2=0.06021047498660015 ..................
[CV]  c1=0.19798495639661928, c2=0.06021047498660015, score=0.664245 -   0.9s
[CV] c1=0.2634220132567798, c2=0.025672744042985696 ..................
[CV]  c1=0.2634220132567798, c2=0.025672744042985696, score=0.771179 -   1.1s
[CV] c1=0.04003682521047494, c2=0.03566500762855086 ..................
[CV]  c1=0.04003682521047494, c2=0.03566500762855086, score=0.668281 -   0.8s
[CV] c1=0.8842258667988727, c2=0.041133180177796394 ..................
[CV]  c1=0.8842258667988727, c2=0.041133180177796394, score=0.825363 -   1.1s
[CV] c1=0.47212746352541374, c2=0.10373725747513814 ..................
[CV]  c1=0.47212746352541374, c2=0.10373725747513814, score=0.777850 -   1.1s
[CV] c1=0.6697374088388889, c2=0.024903115175159137 ..................
[CV]  c1=0.6697374088388889, c2=0.024903115175159137, score=0.709673 -   1.1s
[CV] c1=0.8071580570946087, c2=0.07214633064852448 ...................
[CV]  c1=0.8071580570946087, c2=0.07214633064852448, score=0.690611 -   1.1s
[CV] c1=1.065879495820999, c2=0.2011930882252224 .....................
[CV]  c1=1.065879495820999, c2=0.2011930882252224, score=0.556614 -   1.2s
[CV] c1=0.9501041516344042, c2=0.010767431473419051 ..................
[CV]  c1=0.9501041516344042, c2=0.010767431473419051, score=0.672374 -   1.1s
[CV] c1=0.06725675898350479, c2=0.018471481200484124 .................
[CV]  c1=0.06725675898350479, c2=0.018471481200484124, score=0.825876 -   1.1s
[CV] c1=0.12217789421964005, c2=0.0008081550810304027 ................
[CV]  c1=0.12217789421964005, c2=0.0008081550810304027, score=0.702023 -   0.8s
[CV] c1=1.688205186362874, c2=0.011913490427680565 ...................
[CV]  c1=1.688205186362874, c2=0.011913490427680565, score=0.678475 -   1.0s
[CV] c1=0.8240957713892926, c2=0.13842287768606668 ...................
[CV]  c1=0.8240957713892926, c2=0.13842287768606668, score=0.653741 -   1.1s
[CV] c1=0.2634220132567798, c2=0.025672744042985696 ..................
[CV]  c1=0.2634220132567798, c2=0.025672744042985696, score=0.888646 -   1.1s
[CV] c1=0.5260485090433902, c2=0.04861008216141439 ...................
[CV]  c1=0.5260485090433902, c2=0.04861008216141439, score=0.800038 -   1.2s
[CV] c1=0.16116166162707934, c2=0.008773582375983146 .................
[CV]  c1=0.16116166162707934, c2=0.008773582375983146, score=0.850522 -   1.0s
[CV] c1=0.36610296714062807, c2=0.005343091151643414 .................
[CV]  c1=0.36610296714062807, c2=0.005343091151643414, score=0.835236 -   1.0s
[CV] c1=0.6697374088388889, c2=0.024903115175159137 ..................
[CV]  c1=0.6697374088388889, c2=0.024903115175159137, score=0.678025 -   0.9s
[CV] c1=0.22634286159825617, c2=0.18199119858116594 ..................
[CV]  c1=0.22634286159825617, c2=0.18199119858116594, score=0.655655 -   0.9s
[CV] c1=1.010529725821037, c2=0.1212616263023094 .....................
[CV]  c1=1.010529725821037, c2=0.1212616263023094, score=0.778239 -   1.1s
[CV] c1=0.02971001072053751, c2=0.026644012400491985 .................
[CV]  c1=0.02971001072053751, c2=0.026644012400491985, score=0.899689 -   1.1s
[CV] c1=0.06593356381410169, c2=0.025026717998297383 .................
[CV]  c1=0.06593356381410169, c2=0.025026717998297383, score=0.893261 -   1.1s
[CV] c1=0.15643285843607488, c2=0.015271664631240531 .................
[CV]  c1=0.15643285843607488, c2=0.015271664631240531, score=0.670393 -   0.8s
[CV] c1=0.4056001316952749, c2=0.007558642260138993 ..................
[CV]  c1=0.4056001316952749, c2=0.007558642260138993, score=0.783962 -   1.0s
[CV] c1=0.28274547118413845, c2=0.12993459196836268 ..................
[CV]  c1=0.28274547118413845, c2=0.12993459196836268, score=0.728657 -   1.2s
[CV] c1=0.8240957713892926, c2=0.13842287768606668 ...................
[CV]  c1=0.8240957713892926, c2=0.13842287768606668, score=0.688605 -   1.0s
[CV] c1=0.32751735244901453, c2=0.02967789329181711 ..................
[CV]  c1=0.32751735244901453, c2=0.02967789329181711, score=0.791713 -   1.1s
[CV] c1=0.4262888277399236, c2=0.17760065771548184 ...................
[CV]  c1=0.4262888277399236, c2=0.17760065771548184, score=0.639429 -   1.0s
[CV] c1=0.8842258667988727, c2=0.041133180177796394 ..................
[CV]  c1=0.8842258667988727, c2=0.041133180177796394, score=0.629757 -   1.2s
[CV] c1=2.311047813970151, c2=0.15851902521252595 ....................
[CV]  c1=2.311047813970151, c2=0.15851902521252595, score=0.579174 -   1.2s
[CV] c1=0.31223701977543694, c2=0.002903436177889532 .................
[CV]  c1=0.31223701977543694, c2=0.002903436177889532, score=0.785508 -   1.2s
[CV] c1=0.176849311768949, c2=0.0013552400893732906 ..................
[CV]  c1=0.176849311768949, c2=0.0013552400893732906, score=0.801857 -   1.1s
[CV] c1=0.4423025102682281, c2=0.009339224098826114 ..................
[CV]  c1=0.4423025102682281, c2=0.009339224098826114, score=0.830027 -   1.1s
[CV] c1=1.0924818718837075, c2=0.05001922230857924 ...................
[CV]  c1=1.0924818718837075, c2=0.05001922230857924, score=0.713277 -   1.1s
[CV] c1=0.8380530900496229, c2=0.024517508877545925 ..................
[CV]  c1=0.8380530900496229, c2=0.024517508877545925, score=0.751511 -   1.0s
[CV] c1=0.07061447721589459, c2=0.04294624774315289 ..................
[CV]  c1=0.07061447721589459, c2=0.04294624774315289, score=0.808495 -   1.1s
[CV] c1=0.8095850505706417, c2=0.02058690117322744 ...................
[CV]  c1=0.8095850505706417, c2=0.02058690117322744, score=0.644347 -   0.9s
[CV] c1=0.19798495639661928, c2=0.06021047498660015 ..................
[CV]  c1=0.19798495639661928, c2=0.06021047498660015, score=0.809696 -   1.1s
[CV] c1=1.631248095116411, c2=0.11068137632694462 ....................
[CV]  c1=1.631248095116411, c2=0.11068137632694462, score=0.502999 -   0.8s
[CV] c1=0.04003682521047494, c2=0.03566500762855086 ..................
[CV]  c1=0.04003682521047494, c2=0.03566500762855086, score=0.898137 -   1.1s
[CV] c1=0.2150551236171111, c2=0.07400673079255439 ...................
[CV]  c1=0.2150551236171111, c2=0.07400673079255439, score=0.809696 -   1.1s
[CV] c1=2.311047813970151, c2=0.15851902521252595 ....................
[CV]  c1=2.311047813970151, c2=0.15851902521252595, score=0.483778 -   1.1s
[CV] c1=0.697926978079478, c2=0.17369590426908854 ....................
[CV]  c1=0.697926978079478, c2=0.17369590426908854, score=0.630741 -   1.1s
[CV] c1=0.14904739373893766, c2=0.011050740445279221 .................
[CV]  c1=0.14904739373893766, c2=0.011050740445279221, score=0.792401 -   1.1s
[CV] c1=0.11765903588951024, c2=0.08201602608608699 ..................
[CV]  c1=0.11765903588951024, c2=0.08201602608608699, score=0.664245 -   0.9s
[CV] c1=0.2590009513589756, c2=0.14210158928458475 ...................
[CV]  c1=0.2590009513589756, c2=0.14210158928458475, score=0.767738 -   1.1s
[CV] c1=0.24094442798473356, c2=0.06883086612302829 ..................
[CV]  c1=0.24094442798473356, c2=0.06883086612302829, score=0.809696 -   1.0s
[CV] c1=0.794027286589017, c2=0.06939557675184511 ....................
[CV]  c1=0.794027286589017, c2=0.06939557675184511, score=0.662977 -   1.1s
[CV] c1=0.038828060661606795, c2=0.14299502807373313 .................
[CV]  c1=0.038828060661606795, c2=0.14299502807373313, score=0.887169 -   1.1s
[CV] c1=0.429681195718786, c2=0.017045387667841014 ...................
[CV]  c1=0.429681195718786, c2=0.017045387667841014, score=0.832488 -   1.1s
[CV] c1=0.6110826244625434, c2=0.007388954994510595 ..................
[CV]  c1=0.6110826244625434, c2=0.007388954994510595, score=0.808106 -   1.0s
[CV] c1=0.04003682521047494, c2=0.03566500762855086 ..................
[CV]  c1=0.04003682521047494, c2=0.03566500762855086, score=0.830028 -   1.1s
[CV] c1=0.7482798890271057, c2=0.014454252213869829 ..................
[CV]  c1=0.7482798890271057, c2=0.014454252213869829, score=0.833173 -   1.1s
[CV] c1=0.5669507714845071, c2=0.06055739958186136 ...................
[CV]  c1=0.5669507714845071, c2=0.06055739958186136, score=0.777850 -   1.2s
[CV] c1=0.8829601516395045, c2=0.0059629008686582635 .................
[CV]  c1=0.8829601516395045, c2=0.0059629008686582635, score=0.675352 -   1.1s
[CV] c1=0.8168126270143602, c2=0.20270730308069518 ...................
[CV]  c1=0.8168126270143602, c2=0.20270730308069518, score=0.529813 -   0.9s
[CV] c1=0.06765203201219268, c2=0.05015799024768766 ..................
[CV]  c1=0.06765203201219268, c2=0.05015799024768766, score=0.766899 -   1.2s
[CV] c1=0.06794328077005028, c2=0.04787362191681498 ..................
[CV]  c1=0.06794328077005028, c2=0.04787362191681498, score=0.766899 -   1.1s
[CV] c1=0.8380530900496229, c2=0.024517508877545925 ..................
[CV]  c1=0.8380530900496229, c2=0.024517508877545925, score=0.685167 -   1.1s
[CV] c1=0.912599034216794, c2=0.04829899537610136 ....................
[CV]  c1=0.912599034216794, c2=0.04829899537610136, score=0.718789 -   1.0s
[CV] c1=0.28274547118413845, c2=0.12993459196836268 ..................
[CV]  c1=0.28274547118413845, c2=0.12993459196836268, score=0.767738 -   1.3s
[CV] c1=1.0551289435426758, c2=0.08669608223719208 ...................
[CV]  c1=1.0551289435426758, c2=0.08669608223719208, score=0.642540 -   1.1s
[CV] c1=0.6110826244625434, c2=0.007388954994510595 ..................
[CV]  c1=0.6110826244625434, c2=0.007388954994510595, score=0.730844 -   1.1s
[CV] c1=0.5934822231838669, c2=0.031324881170768225 ..................
[CV]  c1=0.5934822231838669, c2=0.031324881170768225, score=0.837762 -   1.1s
[CV] c1=0.7482798890271057, c2=0.014454252213869829 ..................
[CV]  c1=0.7482798890271057, c2=0.014454252213869829, score=0.748969 -   1.1s
[CV] c1=0.6419051962762737, c2=0.051600899603407205 ..................
[CV]  c1=0.6419051962762737, c2=0.051600899603407205, score=0.692025 -   1.1s
[CV] c1=0.1549574729906881, c2=0.10874334691233332 ...................
[CV]  c1=0.1549574729906881, c2=0.10874334691233332, score=0.874540 -   1.1s
[CV] c1=0.8168126270143602, c2=0.20270730308069518 ...................
[CV]  c1=0.8168126270143602, c2=0.20270730308069518, score=0.642540 -   1.1s
[CV] c1=0.44673442519068596, c2=0.04904753494357623 ..................
[CV]  c1=0.44673442519068596, c2=0.04904753494357623, score=0.846651 -   1.1s
[CV] c1=1.0924818718837075, c2=0.05001922230857924 ...................
[CV]  c1=1.0924818718837075, c2=0.05001922230857924, score=0.626819 -   1.2s
[CV] c1=1.063746599678589, c2=0.0045136781399391845 ..................
[CV]  c1=1.063746599678589, c2=0.0045136781399391845, score=0.718789 -   0.9s
[CV] c1=0.42320289875598116, c2=0.11219132924012197 ..................
[CV]  c1=0.42320289875598116, c2=0.11219132924012197, score=0.715371 -   1.1s
[CV] c1=0.7533570009536483, c2=0.04822975774174896 ...................
[CV]  c1=0.7533570009536483, c2=0.04822975774174896, score=0.682738 -   1.0s
[CV] c1=0.19798495639661928, c2=0.06021047498660015 ..................
[CV]  c1=0.19798495639661928, c2=0.06021047498660015, score=0.767539 -   1.2s
[CV] c1=1.631248095116411, c2=0.11068137632694462 ....................
[CV]  c1=1.631248095116411, c2=0.11068137632694462, score=0.529641 -   1.2s
[CV] c1=0.10506316645931477, c2=0.05778475710257881 ..................
[CV]  c1=0.10506316645931477, c2=0.05778475710257881, score=0.797842 -   1.1s
[CV] c1=0.2681468706696149, c2=0.021543862683904503 ..................
[CV]  c1=0.2681468706696149, c2=0.021543862683904503, score=0.882080 -   1.1s
[CV] c1=0.45315702981588957, c2=0.011735563011050767 .................
[CV]  c1=0.45315702981588957, c2=0.011735563011050767, score=0.750641 -   1.1s
[CV] c1=1.0671306374212797, c2=0.06941664555921523 ...................
[CV]  c1=1.0671306374212797, c2=0.06941664555921523, score=0.701493 -   1.1s
[CV] c1=0.24968729219111682, c2=0.0009053269277575258 ................
[CV]  c1=0.24968729219111682, c2=0.0009053269277575258, score=0.848061 -   1.0s
[CV] c1=0.44673442519068596, c2=0.04904753494357623 ..................
[CV]  c1=0.44673442519068596, c2=0.04904753494357623, score=0.808029 -   1.0s
[CV] c1=0.12067796246603653, c2=0.005851911044620918 .................
[CV]  c1=0.12067796246603653, c2=0.005851911044620918, score=0.876458 -   1.1s
[CV] c1=1.063746599678589, c2=0.0045136781399391845 ..................
[CV]  c1=1.063746599678589, c2=0.0045136781399391845, score=0.662648 -   1.0s
[CV] c1=1.3643991823802442, c2=0.03448935640482643 ...................
[CV]  c1=1.3643991823802442, c2=0.03448935640482643, score=0.793101 -   1.1s
[CV] c1=1.037044709855394, c2=0.010894255489344671 ...................
[CV]  c1=1.037044709855394, c2=0.010894255489344671, score=0.628619 -   0.9s
[CV] c1=1.0551289435426758, c2=0.08669608223719208 ...................
[CV]  c1=1.0551289435426758, c2=0.08669608223719208, score=0.593874 -   1.1s
[CV] c1=0.6110826244625434, c2=0.007388954994510595 ..................
[CV]  c1=0.6110826244625434, c2=0.007388954994510595, score=0.693194 -   0.9s
[CV] c1=0.5260485090433902, c2=0.04861008216141439 ...................
[CV]  c1=0.5260485090433902, c2=0.04861008216141439, score=0.798002 -   1.0s
[CV] c1=0.8842258667988727, c2=0.041133180177796394 ..................
[CV]  c1=0.8842258667988727, c2=0.041133180177796394, score=0.607676 -   0.8s
[CV] c1=0.3545340853044585, c2=0.0631006278152007 ....................
[CV]  c1=0.3545340853044585, c2=0.0631006278152007, score=0.861286 -   1.1s
[CV] c1=0.8296405927537451, c2=0.020836417201902838 ..................
[CV]  c1=0.8296405927537451, c2=0.020836417201902838, score=0.644347 -   0.8s
[CV] c1=0.1549574729906881, c2=0.10874334691233332 ...................
[CV]  c1=0.1549574729906881, c2=0.10874334691233332, score=0.790536 -   1.1s
[CV] c1=0.24968729219111682, c2=0.0009053269277575258 ................
[CV]  c1=0.24968729219111682, c2=0.0009053269277575258, score=0.815374 -   1.1s
[CV] c1=0.44673442519068596, c2=0.04904753494357623 ..................
[CV]  c1=0.44673442519068596, c2=0.04904753494357623, score=0.777850 -   1.1s
[CV] c1=0.06593356381410169, c2=0.025026717998297383 .................
[CV]  c1=0.06593356381410169, c2=0.025026717998297383, score=0.825876 -   1.1s
[CV] c1=0.15643285843607488, c2=0.015271664631240531 .................
[CV]  c1=0.15643285843607488, c2=0.015271664631240531, score=0.850522 -   0.8s
[CV] c1=0.12217789421964005, c2=0.0008081550810304027 ................
[CV]  c1=0.12217789421964005, c2=0.0008081550810304027, score=0.888878 -   1.1s
[CV] c1=0.7533570009536483, c2=0.04822975774174896 ...................
[CV]  c1=0.7533570009536483, c2=0.04822975774174896, score=0.610762 -   0.9s
[CV] c1=0.8240957713892926, c2=0.13842287768606668 ...................
[CV]  c1=0.8240957713892926, c2=0.13842287768606668, score=0.593874 -   1.1s
[CV] c1=0.2634220132567798, c2=0.025672744042985696 ..................
[CV]  c1=0.2634220132567798, c2=0.025672744042985696, score=0.837696 -   1.1s
[CV] c1=0.4262888277399236, c2=0.17760065771548184 ...................
[CV]  c1=0.4262888277399236, c2=0.17760065771548184, score=0.761371 -   1.1s
[CV] c1=0.2150551236171111, c2=0.07400673079255439 ...................
[CV]  c1=0.2150551236171111, c2=0.07400673079255439, score=0.877784 -   1.0s
[CV] c1=2.311047813970151, c2=0.15851902521252595 ....................
[CV]  c1=2.311047813970151, c2=0.15851902521252595, score=0.631278 -   1.1s
[CV] c1=0.697926978079478, c2=0.17369590426908854 ....................
[CV]  c1=0.697926978079478, c2=0.17369590426908854, score=0.597535 -   0.9s
[CV] c1=0.22634286159825617, c2=0.18199119858116594 ..................
[CV]  c1=0.22634286159825617, c2=0.18199119858116594, score=0.764463 -   1.0s
[CV] c1=0.47274083322078636, c2=0.0035721062968525536 ................
[CV]  c1=0.47274083322078636, c2=0.0035721062968525536, score=0.830027 -   1.0s
[CV] c1=0.25634443701191384, c2=0.013926984738391941 .................
[CV]  c1=0.25634443701191384, c2=0.013926984738391941, score=0.885314 -   1.1s
[CV] c1=0.0018289305439149793, c2=0.04406859759586499 ................
[CV]  c1=0.0018289305439149793, c2=0.04406859759586499, score=0.899689 -   1.1s
[CV] c1=0.8536129071495215, c2=0.05108690933345975 ...................
[CV]  c1=0.8536129071495215, c2=0.05108690933345975, score=0.607676 -   0.7s
[CV] c1=0.912599034216794, c2=0.04829899537610136 ....................
[CV]  c1=0.912599034216794, c2=0.04829899537610136, score=0.664556 -   1.1s
[CV] c1=0.09858597122007064, c2=0.020960252018397 ....................
[CV]  c1=0.09858597122007064, c2=0.020960252018397, score=0.805677 -   1.1s
[CV] c1=0.429681195718786, c2=0.017045387667841014 ...................
[CV]  c1=0.429681195718786, c2=0.017045387667841014, score=0.695117 -   0.8s
[CV] c1=0.32751735244901453, c2=0.02967789329181711 ..................
[CV]  c1=0.32751735244901453, c2=0.02967789329181711, score=0.832488 -   1.0s
[CV] c1=0.5260485090433902, c2=0.04861008216141439 ...................
[CV]  c1=0.5260485090433902, c2=0.04861008216141439, score=0.678560 -   0.9s
[CV] c1=1.1292660161120431, c2=0.009271739483778334 ..................
[CV]  c1=1.1292660161120431, c2=0.009271739483778334, score=0.828832 -   1.1s
[CV] c1=0.3545340853044585, c2=0.0631006278152007 ....................
[CV]  c1=0.3545340853044585, c2=0.0631006278152007, score=0.659964 -   0.8s
[CV] c1=0.45315702981588957, c2=0.011735563011050767 .................
[CV]  c1=0.45315702981588957, c2=0.011735563011050767, score=0.877506 -   1.1s
[CV] c1=1.0671306374212797, c2=0.06941664555921523 ...................
[CV]  c1=1.0671306374212797, c2=0.06941664555921523, score=0.566110 -   0.9s
[CV] c1=0.8168126270143602, c2=0.20270730308069518 ...................
[CV]  c1=0.8168126270143602, c2=0.20270730308069518, score=0.808460 -   1.1s
[CV] c1=0.4423025102682281, c2=0.009339224098826114 ..................
[CV]  c1=0.4423025102682281, c2=0.009339224098826114, score=0.758816 -   1.2s
[CV] c1=0.12067796246603653, c2=0.005851911044620918 .................
[CV]  c1=0.12067796246603653, c2=0.005851911044620918, score=0.678208 -   0.9s
[CV] c1=0.06725675898350479, c2=0.018471481200484124 .................
[CV]  c1=0.06725675898350479, c2=0.018471481200484124, score=0.770112 -   1.2s
[CV] c1=0.4056001316952749, c2=0.007558642260138993 ..................
[CV]  c1=0.4056001316952749, c2=0.007558642260138993, score=0.709873 -   0.7s
[CV] c1=0.6276252516679414, c2=0.032019909622853344 ..................
[CV]  c1=0.6276252516679414, c2=0.032019909622853344, score=0.835908 -   1.1s
[CV] c1=0.015672040378983478, c2=0.010190627328354802 ................
[CV]  c1=0.015672040378983478, c2=0.010190627328354802, score=0.700304 -   0.8s
[CV] c1=0.4022747683014055, c2=0.04905917792702114 ...................
[CV]  c1=0.4022747683014055, c2=0.04905917792702114, score=0.659964 -   0.9s
[CV] c1=0.3284158352449635, c2=0.012296020245429912 ..................
[CV]  c1=0.3284158352449635, c2=0.012296020245429912, score=0.680967 -   0.9s
[CV] c1=0.4262888277399236, c2=0.17760065771548184 ...................
[CV]  c1=0.4262888277399236, c2=0.17760065771548184, score=0.774915 -   1.2s
[CV] c1=0.2150551236171111, c2=0.07400673079255439 ...................
[CV]  c1=0.2150551236171111, c2=0.07400673079255439, score=0.767088 -   1.1s
[CV] c1=0.5669507714845071, c2=0.06055739958186136 ...................
[CV]  c1=0.5669507714845071, c2=0.06055739958186136, score=0.722025 -   1.2s
[CV] c1=0.8829601516395045, c2=0.0059629008686582635 .................
[CV]  c1=0.8829601516395045, c2=0.0059629008686582635, score=0.745036 -   1.0s
[CV] c1=0.176849311768949, c2=0.0013552400893732906 ..................
[CV]  c1=0.176849311768949, c2=0.0013552400893732906, score=0.819120 -   1.1s
[CV] c1=0.11765903588951024, c2=0.08201602608608699 ..................
[CV]  c1=0.11765903588951024, c2=0.08201602608608699, score=0.760700 -   1.1s
[CV] c1=1.0924818718837075, c2=0.05001922230857924 ...................
[CV]  c1=1.0924818718837075, c2=0.05001922230857924, score=0.662431 -   1.1s
[CV] c1=1.063746599678589, c2=0.0045136781399391845 ..................
[CV]  c1=1.063746599678589, c2=0.0045136781399391845, score=0.839949 -   1.1s
[CV] c1=1.664958478086892, c2=0.08227815235300205 ....................
[CV]  c1=1.664958478086892, c2=0.08227815235300205, score=0.502999 -   0.8s
[CV] c1=0.6276252516679414, c2=0.032019909622853344 ..................
[CV]  c1=0.6276252516679414, c2=0.032019909622853344, score=0.722351 -   1.2s
[CV] c1=0.015672040378983478, c2=0.010190627328354802 ................
[CV]  c1=0.015672040378983478, c2=0.010190627328354802, score=0.833499 -   1.1s
[CV] c1=0.5362533794490421, c2=0.18367542880317075 ...................
[CV]  c1=0.5362533794490421, c2=0.18367542880317075, score=0.706866 -   1.0s
[CV] c1=0.25308449477028466, c2=0.11587073766900519 ..................
[CV]  c1=0.25308449477028466, c2=0.11587073766900519, score=0.773237 -   1.2s
[CV] c1=1.1292660161120431, c2=0.009271739483778334 ..................
[CV]  c1=1.1292660161120431, c2=0.009271739483778334, score=0.612664 -   1.0s
[CV] c1=0.2681468706696149, c2=0.021543862683904503 ..................
[CV]  c1=0.2681468706696149, c2=0.021543862683904503, score=0.837696 -   1.1s
[CV] c1=0.45315702981588957, c2=0.011735563011050767 .................
[CV]  c1=0.45315702981588957, c2=0.011735563011050767, score=0.830027 -   1.1s
[CV] c1=1.0671306374212797, c2=0.06941664555921523 ...................
[CV]  c1=1.0671306374212797, c2=0.06941664555921523, score=0.598175 -   1.1s
[CV] c1=1.010529725821037, c2=0.1212616263023094 .....................
[CV]  c1=1.010529725821037, c2=0.1212616263023094, score=0.638441 -   1.2s
[CV] c1=0.25634443701191384, c2=0.013926984738391941 .................
[CV]  c1=0.25634443701191384, c2=0.013926984738391941, score=0.686346 -   0.9s
[CV] c1=0.06593356381410169, c2=0.025026717998297383 .................
[CV]  c1=0.06593356381410169, c2=0.025026717998297383, score=0.668900 -   0.9s
[CV] c1=0.8380530900496229, c2=0.024517508877545925 ..................
[CV]  c1=0.8380530900496229, c2=0.024517508877545925, score=0.680629 -   1.1s
[CV] c1=0.794027286589017, c2=0.06939557675184511 ....................
[CV]  c1=0.794027286589017, c2=0.06939557675184511, score=0.720525 -   1.0s
[CV] c1=0.09858597122007064, c2=0.020960252018397 ....................
[CV]  c1=0.09858597122007064, c2=0.020960252018397, score=0.661021 -   0.9s
[CV] c1=0.18649092929527233, c2=0.09153335689198082 ..................
[CV]  c1=0.18649092929527233, c2=0.09153335689198082, score=0.760700 -   1.1s
[CV] c1=0.32751735244901453, c2=0.02967789329181711 ..................
[CV]  c1=0.32751735244901453, c2=0.02967789329181711, score=0.660714 -   0.9s
[CV] c1=0.022534832324446835, c2=0.0014675030795171292 ...............
[CV]  c1=0.022534832324446835, c2=0.0014675030795171292, score=0.863048 -   1.1s
[CV] c1=1.1292660161120431, c2=0.009271739483778334 ..................
[CV]  c1=1.1292660161120431, c2=0.009271739483778334, score=0.662431 -   1.1s
[CV] c1=0.3545340853044585, c2=0.0631006278152007 ....................
[CV]  c1=0.3545340853044585, c2=0.0631006278152007, score=0.832488 -   1.0s
[CV] c1=0.8296405927537451, c2=0.020836417201902838 ..................
[CV]  c1=0.8296405927537451, c2=0.020836417201902838, score=0.751511 -   1.0s
[CV] c1=0.6366513178875657, c2=0.028037214168413534 ..................
[CV]  c1=0.6366513178875657, c2=0.028037214168413534, score=0.835908 -   1.0s
[CV] c1=1.010529725821037, c2=0.1212616263023094 .....................
[CV]  c1=1.010529725821037, c2=0.1212616263023094, score=0.527421 -   0.9s
[CV] c1=0.4423025102682281, c2=0.009339224098826114 ..................
[CV]  c1=0.4423025102682281, c2=0.009339224098826114, score=0.780550 -   1.2s
[CV] c1=0.12067796246603653, c2=0.005851911044620918 .................
[CV]  c1=0.12067796246603653, c2=0.005851911044620918, score=0.804943 -   1.1s
[CV] c1=1.063746599678589, c2=0.0045136781399391845 ..................
[CV]  c1=1.063746599678589, c2=0.0045136781399391845, score=0.634665 -   1.0s
[CV] c1=0.794027286589017, c2=0.06939557675184511 ....................
[CV]  c1=0.794027286589017, c2=0.06939557675184511, score=0.611956 -   0.9s
[CV] c1=0.28274547118413845, c2=0.12993459196836268 ..................
[CV]  c1=0.28274547118413845, c2=0.12993459196836268, score=0.775210 -   1.0s
[CV] c1=0.18649092929527233, c2=0.09153335689198082 ..................
[CV]  c1=0.18649092929527233, c2=0.09153335689198082, score=0.661368 -   0.8s
[CV] c1=0.5362533794490421, c2=0.18367542880317075 ...................
[CV]  c1=0.5362533794490421, c2=0.18367542880317075, score=0.657592 -   1.1s
[CV] c1=0.25308449477028466, c2=0.11587073766900519 ..................
[CV]  c1=0.25308449477028466, c2=0.11587073766900519, score=0.774490 -   1.0s
[CV] c1=0.3467807878188996, c2=0.03493830769285612 ...................
[CV]  c1=0.3467807878188996, c2=0.03493830769285612, score=0.767272 -   1.2s
[CV] c1=0.2681468706696149, c2=0.021543862683904503 ..................
[CV]  c1=0.2681468706696149, c2=0.021543862683904503, score=0.800674 -   1.1s
[CV] c1=0.8296405927537451, c2=0.020836417201902838 ..................
[CV]  c1=0.8296405927537451, c2=0.020836417201902838, score=0.675864 -   1.1s
[CV] c1=0.22634286159825617, c2=0.18199119858116594 ..................
[CV]  c1=0.22634286159825617, c2=0.18199119858116594, score=0.846278 -   1.1s
[CV] c1=0.47274083322078636, c2=0.0035721062968525536 ................
[CV]  c1=0.47274083322078636, c2=0.0035721062968525536, score=0.698288 -   0.9s
[CV] c1=0.02971001072053751, c2=0.026644012400491985 .................
[CV]  c1=0.02971001072053751, c2=0.026644012400491985, score=0.669545 -   0.9s
[CV] c1=0.12067796246603653, c2=0.005851911044620918 .................
[CV]  c1=0.12067796246603653, c2=0.005851911044620918, score=0.831600 -   1.2s
[CV] c1=0.15643285843607488, c2=0.015271664631240531 .................
[CV]  c1=0.15643285843607488, c2=0.015271664631240531, score=0.895562 -   0.9s
[CV] c1=0.12217789421964005, c2=0.0008081550810304027 ................
[CV]  c1=0.12217789421964005, c2=0.0008081550810304027, score=0.844590 -   1.1s
[CV] c1=0.7533570009536483, c2=0.04822975774174896 ...................
[CV]  c1=0.7533570009536483, c2=0.04822975774174896, score=0.791575 -   1.0s
[CV] c1=0.19798495639661928, c2=0.06021047498660015 ..................
[CV]  c1=0.19798495639661928, c2=0.06021047498660015, score=0.765657 -   1.1s
[CV] c1=1.631248095116411, c2=0.11068137632694462 ....................
[CV]  c1=1.631248095116411, c2=0.11068137632694462, score=0.600014 -   1.0s
[CV] c1=0.10988110452927356, c2=0.10071158309801363 ..................
[CV]  c1=0.10988110452927356, c2=0.10071158309801363, score=0.761523 -   1.1s
[CV] c1=0.39400907292259685, c2=0.05594971162068866 ..................
[CV]  c1=0.39400907292259685, c2=0.05594971162068866, score=0.659964 -   0.8s
[CV] c1=0.5669507714845071, c2=0.06055739958186136 ...................
[CV]  c1=0.5669507714845071, c2=0.06055739958186136, score=0.832287 -   1.1s
[CV] c1=0.31223701977543694, c2=0.002903436177889532 .................
[CV]  c1=0.31223701977543694, c2=0.002903436177889532, score=0.888159 -   1.1s
[CV] c1=0.14904739373893766, c2=0.011050740445279221 .................
[CV]  c1=0.14904739373893766, c2=0.011050740445279221, score=0.670393 -   0.9s
[CV] c1=1.1087214136836172, c2=0.03418689906292207 ...................
[CV]  c1=1.1087214136836172, c2=0.03418689906292207, score=0.662977 -   1.1s
[CV] c1=0.043726354776421235, c2=0.05310974720031697 .................
[CV]  c1=0.043726354776421235, c2=0.05310974720031697, score=0.766899 -   1.1s
[CV] c1=0.6178567498505799, c2=0.008844040206746276 ..................
[CV]  c1=0.6178567498505799, c2=0.008844040206746276, score=0.693194 -   0.8s
[CV] c1=0.8536129071495215, c2=0.05108690933345975 ...................
[CV]  c1=0.8536129071495215, c2=0.05108690933345975, score=0.785100 -   0.7s
[CV] c1=1.664958478086892, c2=0.08227815235300205 ....................
[CV]  c1=1.664958478086892, c2=0.08227815235300205, score=0.531743 -   1.2s
[CV] c1=0.09858597122007064, c2=0.020960252018397 ....................
[CV]  c1=0.09858597122007064, c2=0.020960252018397, score=0.840721 -   1.1s
[CV] c1=0.429681195718786, c2=0.017045387667841014 ...................
[CV]  c1=0.429681195718786, c2=0.017045387667841014, score=0.868830 -   1.2s
[CV] c1=0.6110826244625434, c2=0.007388954994510595 ..................
[CV]  c1=0.6110826244625434, c2=0.007388954994510595, score=0.765786 -   1.1s
[CV] c1=0.5934822231838669, c2=0.031324881170768225 ..................
[CV]  c1=0.5934822231838669, c2=0.031324881170768225, score=0.765786 -   1.3s
[CV] c1=0.39400907292259685, c2=0.05594971162068866 ..................
[CV]  c1=0.39400907292259685, c2=0.05594971162068866, score=0.729430 -   1.1s
[CV] c1=0.08893161160102143, c2=0.205016864927159 ....................
[CV]  c1=0.08893161160102143, c2=0.205016864927159, score=0.768728 -   1.1s
[CV] c1=1.0671306374212797, c2=0.06941664555921523 ...................
[CV]  c1=1.0671306374212797, c2=0.06941664555921523, score=0.654287 -   1.1s
[CV] c1=0.24968729219111682, c2=0.0009053269277575258 ................
[CV]  c1=0.24968729219111682, c2=0.0009053269277575258, score=0.795483 -   1.2s
[CV] c1=0.02971001072053751, c2=0.026644012400491985 .................
[CV]  c1=0.02971001072053751, c2=0.026644012400491985, score=0.824968 -   1.1s
[CV] c1=0.0018289305439149793, c2=0.04406859759586499 ................
[CV]  c1=0.0018289305439149793, c2=0.04406859759586499, score=0.669545 -   0.9s
[CV] c1=0.15643285843607488, c2=0.015271664631240531 .................
[CV]  c1=0.15643285843607488, c2=0.015271664631240531, score=0.805432 -   1.0s
[CV] c1=0.4056001316952749, c2=0.007558642260138993 ..................
[CV]  c1=0.4056001316952749, c2=0.007558642260138993, score=0.830027 -   0.9s
[CV] c1=0.6276252516679414, c2=0.032019909622853344 ..................
[CV]  c1=0.6276252516679414, c2=0.032019909622853344, score=0.757300 -   1.2s
[CV] c1=0.18649092929527233, c2=0.09153335689198082 ..................
[CV]  c1=0.18649092929527233, c2=0.09153335689198082, score=0.767272 -   1.1s
[CV] c1=0.32298756434542586, c2=0.013093956790118245 .................
[CV]  c1=0.32298756434542586, c2=0.013093956790118245, score=0.837696 -   1.1s
[CV] c1=0.022534832324446835, c2=0.0014675030795171292 ...............
[CV]  c1=0.022534832324446835, c2=0.0014675030795171292, score=0.777791 -   1.2s
[CV] c1=0.16116166162707934, c2=0.008773582375983146 .................
[CV]  c1=0.16116166162707934, c2=0.008773582375983146, score=0.886379 -   1.1s
[CV] c1=0.36610296714062807, c2=0.005343091151643414 .................
[CV]  c1=0.36610296714062807, c2=0.005343091151643414, score=0.709746 -   0.9s
[CV] c1=0.24008199625112556, c2=0.04920716800043354 ..................
[CV]  c1=0.24008199625112556, c2=0.04920716800043354, score=0.660714 -   0.9s
[CV] c1=0.6366513178875657, c2=0.028037214168413534 ..................
[CV]  c1=0.6366513178875657, c2=0.028037214168413534, score=0.762873 -   1.1s
[CV] c1=0.47274083322078636, c2=0.0035721062968525536 ................
[CV]  c1=0.47274083322078636, c2=0.0035721062968525536, score=0.869684 -   1.2s
[CV] c1=0.25634443701191384, c2=0.013926984738391941 .................
[CV]  c1=0.25634443701191384, c2=0.013926984738391941, score=0.792128 -   1.1s
[CV] c1=0.9875925563597505, c2=0.06853060092152241 ...................
[CV]  c1=0.9875925563597505, c2=0.06853060092152241, score=0.576604 -   0.8s
[CV] c1=0.8536129071495215, c2=0.05108690933345975 ...................
[CV]  c1=0.8536129071495215, c2=0.05108690933345975, score=0.825310 -   0.8s
[CV] c1=1.3643991823802442, c2=0.03448935640482643 ...................
[CV]  c1=1.3643991823802442, c2=0.03448935640482643, score=0.679197 -   1.0s
[CV] c1=0.7533570009536483, c2=0.04822975774174896 ...................
[CV]  c1=0.7533570009536483, c2=0.04822975774174896, score=0.734246 -   1.1s
[CV] c1=0.189440587905853, c2=0.024921625963680617 ...................
[CV]  c1=0.189440587905853, c2=0.024921625963680617, score=0.880557 -   1.1s
[CV] c1=1.631248095116411, c2=0.11068137632694462 ....................
[CV]  c1=1.631248095116411, c2=0.11068137632694462, score=0.581794 -   1.0s
[CV] c1=0.10988110452927356, c2=0.10071158309801363 ..................
[CV]  c1=0.10988110452927356, c2=0.10071158309801363, score=0.759148 -   1.1s
[CV] c1=0.33016291798014374, c2=0.09578177932368644 ..................
[CV]  c1=0.33016291798014374, c2=0.09578177932368644, score=0.861039 -   1.0s
[CV] c1=0.5669507714845071, c2=0.06055739958186136 ...................
[CV]  c1=0.5669507714845071, c2=0.06055739958186136, score=0.755260 -   1.0s
[CV] c1=0.31223701977543694, c2=0.002903436177889532 .................
[CV]  c1=0.31223701977543694, c2=0.002903436177889532, score=0.714079 -   1.0s
[CV] c1=0.15960260917124205, c2=0.041985021787275395 .................
[CV]  c1=0.15960260917124205, c2=0.041985021787275395, score=0.668577 -   0.9s
[CV] c1=1.1087214136836172, c2=0.03418689906292207 ...................
[CV]  c1=1.1087214136836172, c2=0.03418689906292207, score=0.812237 -   1.1s
[CV] c1=0.043726354776421235, c2=0.05310974720031697 .................
[CV]  c1=0.043726354776421235, c2=0.05310974720031697, score=0.665732 -   0.8s
[CV] c1=0.06593356381410169, c2=0.025026717998297383 .................
[CV]  c1=0.06593356381410169, c2=0.025026717998297383, score=0.840721 -   1.1s
[CV] c1=0.15643285843607488, c2=0.015271664631240531 .................
[CV]  c1=0.15643285843607488, c2=0.015271664631240531, score=0.807503 -   0.9s
[CV] c1=0.42320289875598116, c2=0.11219132924012197 ..................
[CV]  c1=0.42320289875598116, c2=0.11219132924012197, score=0.652118 -   0.9s
[CV] c1=1.688205186362874, c2=0.011913490427680565 ...................
[CV]  c1=1.688205186362874, c2=0.011913490427680565, score=0.751016 -   1.1s
[CV] c1=0.8240957713892926, c2=0.13842287768606668 ...................
[CV]  c1=0.8240957713892926, c2=0.13842287768606668, score=0.802592 -   1.1s
[CV] c1=0.32751735244901453, c2=0.02967789329181711 ..................
[CV]  c1=0.32751735244901453, c2=0.02967789329181711, score=0.879832 -   1.1s
[CV] c1=0.5260485090433902, c2=0.04861008216141439 ...................
[CV]  c1=0.5260485090433902, c2=0.04861008216141439, score=0.732494 -   1.1s
[CV] c1=0.8842258667988727, c2=0.041133180177796394 ..................
[CV]  c1=0.8842258667988727, c2=0.041133180177796394, score=0.662431 -   1.1s
[CV] c1=0.47212746352541374, c2=0.10373725747513814 ..................
[CV]  c1=0.47212746352541374, c2=0.10373725747513814, score=0.715371 -   1.1s
[CV] c1=0.24008199625112556, c2=0.04920716800043354 ..................
[CV]  c1=0.24008199625112556, c2=0.04920716800043354, score=0.767539 -   1.1s
[CV] c1=0.8071580570946087, c2=0.07214633064852448 ...................
[CV]  c1=0.8071580570946087, c2=0.07214633064852448, score=0.611956 -   0.9s
[CV] c1=0.47274083322078636, c2=0.0035721062968525536 ................
[CV]  c1=0.47274083322078636, c2=0.0035721062968525536, score=0.777019 -   1.1s
[CV] c1=0.043726354776421235, c2=0.05310974720031697 .................
[CV]  c1=0.043726354776421235, c2=0.05310974720031697, score=0.895079 -   1.1s
[CV] c1=0.9875925563597505, c2=0.06853060092152241 ...................
[CV]  c1=0.9875925563597505, c2=0.06853060092152241, score=0.817442 -   1.1s
[CV] c1=0.9857965403449154, c2=0.050918645770265863 ..................
[CV]  c1=0.9857965403449154, c2=0.050918645770265863, score=0.582684 -   0.7s
[CV] c1=0.07061447721589459, c2=0.04294624774315289 ..................
[CV]  c1=0.07061447721589459, c2=0.04294624774315289, score=0.900248 -   1.1s
[CV] c1=1.037044709855394, c2=0.010894255489344671 ...................
[CV]  c1=1.037044709855394, c2=0.010894255489344671, score=0.631699 -   1.1s
[CV] c1=0.4022747683014055, c2=0.04905917792702114 ...................
[CV]  c1=0.4022747683014055, c2=0.04905917792702114, score=0.728657 -   1.1s
[CV] c1=0.1578436197228811, c2=0.020043203848268215 ..................
[CV]  c1=0.1578436197228811, c2=0.020043203848268215, score=0.670393 -   0.9s
[CV] c1=0.5934822231838669, c2=0.031324881170768225 ..................
[CV]  c1=0.5934822231838669, c2=0.031324881170768225, score=0.652903 -   0.8s
[CV] c1=0.16116166162707934, c2=0.008773582375983146 .................
[CV]  c1=0.16116166162707934, c2=0.008773582375983146, score=0.678208 -   0.9s
[CV] c1=0.47212746352541374, c2=0.10373725747513814 ..................
[CV]  c1=0.47212746352541374, c2=0.10373725747513814, score=0.835973 -   1.1s
[CV] c1=0.24008199625112556, c2=0.04920716800043354 ..................
[CV]  c1=0.24008199625112556, c2=0.04920716800043354, score=0.876732 -   1.0s
[CV] c1=0.6366513178875657, c2=0.028037214168413534 ..................
[CV]  c1=0.6366513178875657, c2=0.028037214168413534, score=0.722351 -   1.1s
[CV] c1=1.010529725821037, c2=0.1212616263023094 .....................
[CV]  c1=1.010529725821037, c2=0.1212616263023094, score=0.593874 -   1.1s
[CV] c1=0.02971001072053751, c2=0.026644012400491985 .................
[CV]  c1=0.02971001072053751, c2=0.026644012400491985, score=0.766899 -   1.1s
[CV] c1=0.0018289305439149793, c2=0.04406859759586499 ................
[CV]  c1=0.0018289305439149793, c2=0.04406859759586499, score=0.817505 -   1.1s
[CV] c1=0.8536129071495215, c2=0.05108690933345975 ...................
[CV]  c1=0.8536129071495215, c2=0.05108690933345975, score=0.611604 -   0.9s
[CV] c1=0.12217789421964005, c2=0.0008081550810304027 ................
[CV]  c1=0.12217789421964005, c2=0.0008081550810304027, score=0.795712 -   1.1s
[CV] c1=1.037044709855394, c2=0.010894255489344671 ...................
[CV]  c1=1.037044709855394, c2=0.010894255489344671, score=0.718789 -   1.1s
[CV] c1=0.189440587905853, c2=0.024921625963680617 ...................
[CV]  c1=0.189440587905853, c2=0.024921625963680617, score=0.844272 -   1.0s
[CV] c1=1.631248095116411, c2=0.11068137632694462 ....................
[CV]  c1=1.631248095116411, c2=0.11068137632694462, score=0.682133 -   1.1s
[CV] c1=0.10988110452927356, c2=0.10071158309801363 ..................
[CV]  c1=0.10988110452927356, c2=0.10071158309801363, score=0.664245 -   0.7s
[CV] c1=0.16116166162707934, c2=0.008773582375983146 .................
[CV]  c1=0.16116166162707934, c2=0.008773582375983146, score=0.813834 -   1.1s
[CV] c1=0.36610296714062807, c2=0.005343091151643414 .................
[CV]  c1=0.36610296714062807, c2=0.005343091151643414, score=0.797151 -   1.1s
[CV] c1=0.697926978079478, c2=0.17369590426908854 ....................
[CV]  c1=0.697926978079478, c2=0.17369590426908854, score=0.812183 -   1.1s
[CV] c1=0.15960260917124205, c2=0.041985021787275395 .................
[CV]  c1=0.15960260917124205, c2=0.041985021787275395, score=0.772915 -   1.1s
[CV] c1=0.06765203201219268, c2=0.05015799024768766 ..................
[CV]  c1=0.06765203201219268, c2=0.05015799024768766, score=0.813456 -   1.0s
[CV] c1=0.9501041516344042, c2=0.010767431473419051 ..................
[CV]  c1=0.9501041516344042, c2=0.010767431473419051, score=0.625297 -   0.9s
[CV] c1=0.9875925563597505, c2=0.06853060092152241 ...................
[CV]  c1=0.9875925563597505, c2=0.06853060092152241, score=0.713277 -   1.1s
[CV] c1=0.9857965403449154, c2=0.050918645770265863 ..................
[CV]  c1=0.9857965403449154, c2=0.050918645770265863, score=0.662431 -   0.8s
[CV] c1=0.912599034216794, c2=0.04829899537610136 ....................
[CV]  c1=0.912599034216794, c2=0.04829899537610136, score=0.826352 -   1.0s
[CV] c1=1.688205186362874, c2=0.011913490427680565 ...................
[CV]  c1=1.688205186362874, c2=0.011913490427680565, score=0.508051 -   0.9s
[CV] c1=0.18649092929527233, c2=0.09153335689198082 ..................
[CV]  c1=0.18649092929527233, c2=0.09153335689198082, score=0.882391 -   1.1s
[CV] c1=0.32298756434542586, c2=0.013093956790118245 .................
[CV]  c1=0.32298756434542586, c2=0.013093956790118245, score=0.703909 -   0.9s
[CV] c1=0.25308449477028466, c2=0.11587073766900519 ..................
[CV]  c1=0.25308449477028466, c2=0.11587073766900519, score=0.717502 -   1.2s
[CV] c1=0.3467807878188996, c2=0.03493830769285612 ...................
[CV]  c1=0.3467807878188996, c2=0.03493830769285612, score=0.799992 -   1.1s
[CV] c1=0.3545340853044585, c2=0.0631006278152007 ....................
[CV]  c1=0.3545340853044585, c2=0.0631006278152007, score=0.727757 -   1.2s
[CV] c1=0.8296405927537451, c2=0.020836417201902838 ..................
[CV]  c1=0.8296405927537451, c2=0.020836417201902838, score=0.675211 -   1.2s
[CV] c1=0.22634286159825617, c2=0.18199119858116594 ..................
[CV]  c1=0.22634286159825617, c2=0.18199119858116594, score=0.724530 -   1.1s
[CV] c1=0.47274083322078636, c2=0.0035721062968525536 ................
[CV]  c1=0.47274083322078636, c2=0.0035721062968525536, score=0.789404 -   1.2s
[CV] c1=0.043726354776421235, c2=0.05310974720031697 .................
[CV]  c1=0.043726354776421235, c2=0.05310974720031697, score=0.836248 -   1.0s
[CV] c1=0.9875925563597505, c2=0.06853060092152241 ...................
[CV]  c1=0.9875925563597505, c2=0.06853060092152241, score=0.660853 -   1.1s
[CV] c1=0.9857965403449154, c2=0.050918645770265863 ..................
[CV]  c1=0.9857965403449154, c2=0.050918645770265863, score=0.583487 -   0.7s
[CV] c1=0.42320289875598116, c2=0.11219132924012197 ..................
[CV]  c1=0.42320289875598116, c2=0.11219132924012197, score=0.840940 -   1.1s
[CV] c1=0.038828060661606795, c2=0.14299502807373313 .................
[CV]  c1=0.038828060661606795, c2=0.14299502807373313, score=0.770255 -   1.1s
[CV] c1=0.429681195718786, c2=0.017045387667841014 ...................
[CV]  c1=0.429681195718786, c2=0.017045387667841014, score=0.780550 -   1.2s
[CV] c1=0.3284158352449635, c2=0.012296020245429912 ..................
[CV]  c1=0.3284158352449635, c2=0.012296020245429912, score=0.811358 -   1.1s
[CV] c1=0.10988110452927356, c2=0.10071158309801363 ..................
[CV]  c1=0.10988110452927356, c2=0.10071158309801363, score=0.803909 -   1.1s
[CV] c1=0.33016291798014374, c2=0.09578177932368644 ..................
[CV]  c1=0.33016291798014374, c2=0.09578177932368644, score=0.659964 -   1.1s
[CV] c1=0.6419051962762737, c2=0.051600899603407205 ..................
[CV]  c1=0.6419051962762737, c2=0.051600899603407205, score=0.642515 -   0.9s
[CV] c1=0.697926978079478, c2=0.17369590426908854 ....................
[CV]  c1=0.697926978079478, c2=0.17369590426908854, score=0.679154 -   1.0s
[CV] c1=0.15960260917124205, c2=0.041985021787275395 .................
[CV]  c1=0.15960260917124205, c2=0.041985021787275395, score=0.817466 -   1.0s
[CV] c1=1.065879495820999, c2=0.2011930882252224 .....................
[CV]  c1=1.065879495820999, c2=0.2011930882252224, score=0.523758 -   0.8s
[CV] c1=0.25634443701191384, c2=0.013926984738391941 .................
[CV]  c1=0.25634443701191384, c2=0.013926984738391941, score=0.837696 -   1.0s
[CV] c1=0.0018289305439149793, c2=0.04406859759586499 ................
[CV]  c1=0.0018289305439149793, c2=0.04406859759586499, score=0.847312 -   1.0s
[CV] c1=0.8536129071495215, c2=0.05108690933345975 ...................
[CV]  c1=0.8536129071495215, c2=0.05108690933345975, score=0.664556 -   0.8s
[CV] c1=0.4056001316952749, c2=0.007558642260138993 ..................
[CV]  c1=0.4056001316952749, c2=0.007558642260138993, score=0.869601 -   0.8s
[CV] c1=0.6276252516679414, c2=0.032019909622853344 ..................
[CV]  c1=0.6276252516679414, c2=0.032019909622853344, score=0.666270 -   0.9s
[CV] c1=0.8095850505706417, c2=0.02058690117322744 ...................
[CV]  c1=0.8095850505706417, c2=0.02058690117322744, score=0.791575 -   1.0s
[CV] c1=0.4022747683014055, c2=0.04905917792702114 ...................
[CV]  c1=0.4022747683014055, c2=0.04905917792702114, score=0.827057 -   1.1s
[CV] c1=0.1578436197228811, c2=0.020043203848268215 ..................
[CV]  c1=0.1578436197228811, c2=0.020043203848268215, score=0.772038 -   1.2s
[CV] c1=0.3467807878188996, c2=0.03493830769285612 ...................
[CV]  c1=0.3467807878188996, c2=0.03493830769285612, score=0.864050 -   1.1s
[CV] c1=0.2681468706696149, c2=0.021543862683904503 ..................
[CV]  c1=0.2681468706696149, c2=0.021543862683904503, score=0.801509 -   1.2s
[CV] c1=0.8296405927537451, c2=0.020836417201902838 ..................
[CV]  c1=0.8296405927537451, c2=0.020836417201902838, score=0.837719 -   1.2s
[CV] c1=0.6366513178875657, c2=0.028037214168413534 ..................
[CV]  c1=0.6366513178875657, c2=0.028037214168413534, score=0.780668 -   1.1s
[CV] c1=1.010529725821037, c2=0.1212616263023094 .....................
[CV]  c1=1.010529725821037, c2=0.1212616263023094, score=0.688748 -   1.1s
[CV] c1=0.02971001072053751, c2=0.026644012400491985 .................
[CV]  c1=0.02971001072053751, c2=0.026644012400491985, score=0.817505 -   1.1s
[CV] c1=0.06593356381410169, c2=0.025026717998297383 .................
[CV]  c1=0.06593356381410169, c2=0.025026717998297383, score=0.772672 -   1.2s
[CV] c1=0.9857965403449154, c2=0.050918645770265863 ..................
[CV]  c1=0.9857965403449154, c2=0.050918645770265Training done in: 15.153472s
     Saving training model...
        Saving training model done in: 0.013250s
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Prediction done in: 0.023137s