-------------------------------- 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: 12
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: 0.003807s
-------------------------------- 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=0.9895177548390421, c2=0.003939341018036951 ..................
[CV]  c1=0.9895177548390421, c2=0.003939341018036951, score=0.690896 -   0.8s
[CV] c1=0.14972735785304153, c2=0.02028779047474419 ..................
[CV]  c1=0.14972735785304153, c2=0.02028779047474419, score=0.869126 -   1.2s
[CV] c1=0.3004057462629707, c2=0.007475130069399942 ..................
[CV]  c1=0.3004057462629707, c2=0.007475130069399942, score=0.756777 -   1.0s
[CV] c1=0.018334779289947804, c2=0.09432261801055315 .................
[CV]  c1=0.018334779289947804, c2=0.09432261801055315, score=0.891635 -   1.2s
[CV] c1=0.7410774579280734, c2=0.0038965524956909147 .................
[CV]  c1=0.7410774579280734, c2=0.0038965524956909147, score=0.742099 -   1.3s
[CV] c1=0.04212915510697694, c2=0.024509473434780535 .................
[CV]  c1=0.04212915510697694, c2=0.024509473434780535, score=0.872668 -   1.3s
[CV] c1=1.4790221096135188, c2=0.05983404027923575 ...................
[CV]  c1=1.4790221096135188, c2=0.05983404027923575, score=0.566521 -   1.4s
[CV] c1=0.035344697860429694, c2=0.09581750180353088 .................
[CV]  c1=0.035344697860429694, c2=0.09581750180353088, score=0.844198 -   1.2s
[CV] c1=0.3464531931613335, c2=0.004705315446293243 ..................
[CV]  c1=0.3464531931613335, c2=0.004705315446293243, score=0.846104 -   1.2s
[CV] c1=0.3294742282366649, c2=0.013267258056859835 ..................
[CV]  c1=0.3294742282366649, c2=0.013267258056859835, score=0.813806 -   1.4s
[CV] c1=0.7375857313970697, c2=0.025792109308760733 ..................
[CV]  c1=0.7375857313970697, c2=0.025792109308760733, score=0.769946 -   1.3s
[CV] c1=0.8202451343178676, c2=0.06930349534774981 ...................
[CV]  c1=0.8202451343178676, c2=0.06930349534774981, score=0.847220 -   1.3s
[CV] c1=0.12319490153227548, c2=0.034098666779189844 .................
[CV]  c1=0.12319490153227548, c2=0.034098666779189844, score=0.656948 -   1.0s
[CV] c1=0.045127868775043635, c2=0.03220442960176866 .................
[CV]  c1=0.045127868775043635, c2=0.03220442960176866, score=0.845119 -   1.1s
[CV] c1=0.2969233438132829, c2=0.00928211278542436 ...................
[CV]  c1=0.2969233438132829, c2=0.00928211278542436, score=0.774900 -   1.3s
[CV] c1=0.13018352956717136, c2=0.08992449914920633 ..................
[CV]  c1=0.13018352956717136, c2=0.08992449914920633, score=0.702756 -   1.0s
[CV] c1=0.19515688291336017, c2=0.03044563234535244 ..................
[CV]  c1=0.19515688291336017, c2=0.03044563234535244, score=0.788445 -   1.2s
[CV] c1=0.6116793020508762, c2=0.004380003001134693 ..................
[CV]  c1=0.6116793020508762, c2=0.004380003001134693, score=0.849753 -   1.3s
[CV] c1=0.19025723871408623, c2=0.036350364051938484 .................
[CV]  c1=0.19025723871408623, c2=0.036350364051938484, score=0.838851 -   1.2s
[CV] c1=1.0689426022636557, c2=0.061850943754648835 ..................
[CV]  c1=1.0689426022636557, c2=0.061850943754648835, score=0.645241 -   1.3s
[CV] c1=0.27865015337858706, c2=0.035564795684483015 .................
[CV]  c1=0.27865015337858706, c2=0.035564795684483015, score=0.837930 -   1.2s
[CV] c1=0.29761242907171015, c2=0.009795016609212837 .................
[CV]  c1=0.29761242907171015, c2=0.009795016609212837, score=0.788472 -   1.3s
[CV] c1=0.6083854130147821, c2=0.10272653027743249 ...................
[CV]  c1=0.6083854130147821, c2=0.10272653027743249, score=0.845957 -   1.3s
[CV] c1=0.21813266247088917, c2=0.040838386373188054 .................
[CV]  c1=0.21813266247088917, c2=0.040838386373188054, score=0.848968 -   1.2s
[CV] c1=0.9895177548390421, c2=0.003939341018036951 ..................
[CV]  c1=0.9895177548390421, c2=0.003939341018036951, score=0.677390 -   1.2s
[CV] c1=1.6953767328938636, c2=0.04931615120432875 ...................
[CV]  c1=1.6953767328938636, c2=0.04931615120432875, score=0.545716 -   1.2s
[CV] c1=0.3433677454291472, c2=0.047458614073224575 ..................
[CV]  c1=0.3433677454291472, c2=0.047458614073224575, score=0.841049 -   1.2s
[CV] c1=0.31990089091442564, c2=0.0264952415754038 ...................
[CV]  c1=0.31990089091442564, c2=0.0264952415754038, score=0.781937 -   1.2s
[CV] c1=0.3393744548510146, c2=0.014960310442164351 ..................
[CV]  c1=0.3393744548510146, c2=0.014960310442164351, score=0.807661 -   1.4s
[CV] c1=1.2196585526097652, c2=0.08438866630899272 ...................
[CV]  c1=1.2196585526097652, c2=0.08438866630899272, score=0.612465 -   1.0s
[CV] c1=0.19025723871408623, c2=0.036350364051938484 .................
[CV]  c1=0.19025723871408623, c2=0.036350364051938484, score=0.887536 -   1.3s
[CV] c1=1.0689426022636557, c2=0.061850943754648835 ..................
[CV]  c1=1.0689426022636557, c2=0.061850943754648835, score=0.710520 -   1.2s
[CV] c1=0.27865015337858706, c2=0.035564795684483015 .................
[CV]  c1=0.27865015337858706, c2=0.035564795684483015, score=0.757347 -   1.3s
[CV] c1=0.0593380549067806, c2=0.2265239508618486 ....................
[CV]  c1=0.0593380549067806, c2=0.2265239508618486, score=0.860385 -   1.3s
[CV] c1=0.6083854130147821, c2=0.10272653027743249 ...................
[CV]  c1=0.6083854130147821, c2=0.10272653027743249, score=0.685852 -   1.1s
[CV] c1=0.8202451343178676, c2=0.06930349534774981 ...................
[CV]  c1=0.8202451343178676, c2=0.06930349534774981, score=0.640083 -   1.3s
[CV] c1=0.19146872199574044, c2=0.0037545049762589345 ................
[CV]  c1=0.19146872199574044, c2=0.0037545049762589345, score=0.819904 -   1.3s
[CV] c1=0.28078743863160155, c2=0.005938792652234055 .................
[CV]  c1=0.28078743863160155, c2=0.005938792652234055, score=0.841580 -   1.1s
[CV] c1=0.18156368978044707, c2=0.011784610524098654 .................
[CV]  c1=0.18156368978044707, c2=0.011784610524098654, score=0.794536 -   1.3s
[CV] c1=0.5424796135872385, c2=0.1002955868502274 ....................
[CV]  c1=0.5424796135872385, c2=0.1002955868502274, score=0.850033 -   1.4s
[CV] c1=0.10297888254439276, c2=0.04520976627291944 ..................
[CV]  c1=0.10297888254439276, c2=0.04520976627291944, score=0.655023 -   1.0s
[CV] c1=0.20990853745623644, c2=0.0037913845413419488 ................
[CV]  c1=0.20990853745623644, c2=0.0037913845413419488, score=0.882512 -   1.2s
[CV] c1=0.2558343664343818, c2=0.051239649943676885 ..................
[CV]  c1=0.2558343664343818, c2=0.051239649943676885, score=0.777317 -   1.3s
[CV] c1=0.6827056467508398, c2=0.002332305122701695 ..................
[CV]  c1=0.6827056467508398, c2=0.002332305122701695, score=0.730071 -   1.2s
[CV] c1=0.07170387362853846, c2=0.028137660854631364 .................
[CV]  c1=0.07170387362853846, c2=0.028137660854631364, score=0.810820 -   1.2s
[CV] c1=0.09982252106109041, c2=0.08206321676395872 ..................
[CV]  c1=0.09982252106109041, c2=0.08206321676395872, score=0.840009 -   1.2s
[CV] c1=1.1803470925205737, c2=0.04808659222498485 ...................
[CV]  c1=1.1803470925205737, c2=0.04808659222498485, score=0.817232 -   1.2s
[CV] c1=0.018115520642137943, c2=0.0018678238835735913 ...............
[CV]  c1=0.018115520642137943, c2=0.0018678238835735913, score=0.747984 -   1.0s
[CV] c1=0.9895177548390421, c2=0.003939341018036951 ..................
[CV]  c1=0.9895177548390421, c2=0.003939341018036951, score=0.739643 -   1.2s
[CV] c1=0.14972735785304153, c2=0.02028779047474419 ..................
[CV]  c1=0.14972735785304153, c2=0.02028779047474419, score=0.772038 -   1.2s
[CV] c1=0.3705018814880662, c2=0.06225422479673916 ...................
[CV]  c1=0.3705018814880662, c2=0.06225422479673916, score=0.742450 -   1.3s
[CV] c1=0.31990089091442564, c2=0.0264952415754038 ...................
[CV]  c1=0.31990089091442564, c2=0.0264952415754038, score=0.738362 -   1.0s
[CV] c1=1.1559916194073026, c2=0.049756982695289984 ..................
[CV]  c1=1.1559916194073026, c2=0.049756982695289984, score=0.838291 -   1.3s
[CV] c1=0.8818017257537359, c2=0.04247335471990201 ...................
[CV]  c1=0.8818017257537359, c2=0.04247335471990201, score=0.638557 -   1.3s
[CV] c1=1.4598667935987795, c2=0.135625087558158 .....................
[CV]  c1=1.4598667935987795, c2=0.135625087558158, score=0.553761 -   1.3s
[CV] c1=1.0689426022636557, c2=0.061850943754648835 ..................
[CV]  c1=1.0689426022636557, c2=0.061850943754648835, score=0.585709 -   1.0s
[CV] c1=0.2990904461623244, c2=0.028879524109135104 ..................
[CV]  c1=0.2990904461623244, c2=0.028879524109135104, score=0.775408 -   1.3s
[CV] c1=0.29761242907171015, c2=0.009795016609212837 .................
[CV]  c1=0.29761242907171015, c2=0.009795016609212837, score=0.882060 -   1.3s
[CV] c1=0.19897636531892396, c2=0.0064747187489696744 ................
[CV]  c1=0.19897636531892396, c2=0.0064747187489696744, score=0.788878 -   1.3s
[CV] c1=0.8202451343178676, c2=0.06930349534774981 ...................
[CV]  c1=0.8202451343178676, c2=0.06930349534774981, score=0.685622 -   1.3s
[CV] c1=0.44941228372891096, c2=0.005368029060162858 .................
[CV]  c1=0.44941228372891096, c2=0.005368029060162858, score=0.753074 -   1.3s
[CV] c1=1.1218763974298378, c2=0.021802671878529196 ..................
[CV]  c1=1.1218763974298378, c2=0.021802671878529196, score=0.737907 -   1.2s
[CV] c1=1.2991603829723029, c2=0.008937911530913197 ..................
[CV]  c1=1.2991603829723029, c2=0.008937911530913197, score=0.622489 -   1.3s
[CV] c1=0.059013428425391305, c2=0.04788628566112286 .................
[CV]  c1=0.059013428425391305, c2=0.04788628566112286, score=0.845119 -   1.2s
[CV] c1=0.1839189062645173, c2=0.11989162854317399 ...................
[CV]  c1=0.1839189062645173, c2=0.11989162854317399, score=0.747596 -   1.3s
[CV] c1=1.3792303409783142, c2=0.09982333579602835 ...................
[CV]  c1=1.3792303409783142, c2=0.09982333579602835, score=0.805632 -   1.3s
[CV] c1=0.2558343664343818, c2=0.051239649943676885 ..................
[CV]  c1=0.2558343664343818, c2=0.051239649943676885, score=0.832722 -   1.2s
[CV] c1=0.5842908572555043, c2=0.026879390828074903 ..................
[CV]  c1=0.5842908572555043, c2=0.026879390828074903, score=0.799539 -   1.2s
[CV] c1=0.28394476155568116, c2=0.2055052211625611 ...................
[CV]  c1=0.28394476155568116, c2=0.2055052211625611, score=0.640893 -   1.0s
[CV] c1=0.29761242907171015, c2=0.009795016609212837 .................
[CV]  c1=0.29761242907171015, c2=0.009795016609212837, score=0.805952 -   1.3s
[CV] c1=0.6083854130147821, c2=0.10272653027743249 ...................
[CV]  c1=0.6083854130147821, c2=0.10272653027743249, score=0.766207 -   1.2s
[CV] c1=0.21813266247088917, c2=0.040838386373188054 .................
[CV]  c1=0.21813266247088917, c2=0.040838386373188054, score=0.759307 -   1.3s
[CV] c1=0.45538009721607736, c2=0.040622882470771976 .................
[CV]  c1=0.45538009721607736, c2=0.040622882470771976, score=0.726696 -   1.3s
[CV] c1=0.746398422022898, c2=0.05681184439644731 ....................
[CV]  c1=0.746398422022898, c2=0.05681184439644731, score=0.765882 -   1.2s
[CV] c1=0.3500715426516628, c2=0.026876829718711567 ..................
[CV]  c1=0.3500715426516628, c2=0.026876829718711567, score=0.779950 -   1.3s
[CV] c1=0.7410774579280734, c2=0.0038965524956909147 .................
[CV]  c1=0.7410774579280734, c2=0.0038965524956909147, score=0.844835 -   1.4s
[CV] c1=0.04212915510697694, c2=0.024509473434780535 .................
[CV]  c1=0.04212915510697694, c2=0.024509473434780535, score=0.677974 -   1.0s
[CV] c1=0.7416634293011652, c2=0.05540022098119793 ...................
[CV]  c1=0.7416634293011652, c2=0.05540022098119793, score=0.836600 -   1.3s
[CV] c1=0.4086400515209364, c2=0.02695582510625476 ...................
[CV]  c1=0.4086400515209364, c2=0.02695582510625476, score=0.842742 -   1.1s
[CV] c1=0.5204965555844128, c2=0.07566987609641504 ...................
[CV]  c1=0.5204965555844128, c2=0.07566987609641504, score=0.731889 -   1.2s
[CV] c1=0.9903611934072007, c2=0.049830355290302164 ..................
[CV]  c1=0.9903611934072007, c2=0.049830355290302164, score=0.837140 -   1.2s
[CV] c1=0.941837160990803, c2=0.021421049738884965 ...................
[CV]  c1=0.941837160990803, c2=0.021421049738884965, score=0.663780 -   1.1s
[CV] c1=1.1803470925205737, c2=0.04808659222498485 ...................
[CV]  c1=1.1803470925205737, c2=0.04808659222498485, score=0.597544 -   1.0s
[CV] c1=0.21813266247088917, c2=0.040838386373188054 .................
[CV]  c1=0.21813266247088917, c2=0.040838386373188054, score=0.791865 -   1.3s
[CV] c1=0.12319490153227548, c2=0.034098666779189844 .................
[CV]  c1=0.12319490153227548, c2=0.034098666779189844, score=0.839828 -   1.1s
[CV] c1=0.6801650087130146, c2=0.007406170082446398 ..................
[CV]  c1=0.6801650087130146, c2=0.007406170082446398, score=0.855882 -   1.3s
[CV] c1=0.018334779289947804, c2=0.09432261801055315 .................
[CV]  c1=0.018334779289947804, c2=0.09432261801055315, score=0.817282 -   1.2s
[CV] c1=0.1029942484617197, c2=0.01402887228392665 ...................
[CV]  c1=0.1029942484617197, c2=0.01402887228392665, score=0.880718 -   1.2s
[CV] c1=0.10297888254439276, c2=0.04520976627291944 ..................
[CV]  c1=0.10297888254439276, c2=0.04520976627291944, score=0.855235 -   1.1s
[CV] c1=0.7416634293011652, c2=0.05540022098119793 ...................
[CV]  c1=0.7416634293011652, c2=0.05540022098119793, score=0.696823 -   1.0s
[CV] c1=0.2558343664343818, c2=0.051239649943676885 ..................
[CV]  c1=0.2558343664343818, c2=0.051239649943676885, score=0.662468 -   1.0s
[CV] c1=0.19079976269156765, c2=0.06661657592583468 ..................
[CV]  c1=0.19079976269156765, c2=0.06661657592583468, score=0.881690 -   1.3s
[CV] c1=0.5989742003428553, c2=0.03634315411605542 ...................
[CV]  c1=0.5989742003428553, c2=0.03634315411605542, score=0.786319 -   1.2s
[CV] c1=0.0593380549067806, c2=0.2265239508618486 ....................
[CV]  c1=0.0593380549067806, c2=0.2265239508618486, score=0.815402 -   1.2s
[CV] c1=0.6083854130147821, c2=0.10272653027743249 ...................
[CV]  c1=0.6083854130147821, c2=0.10272653027743249, score=0.688068 -   1.3s
[CV] c1=0.00396045536809637, c2=0.032729382325449856 .................
[CV]  c1=0.00396045536809637, c2=0.032729382325449856, score=0.886410 -   1.2s
[CV] c1=1.7998691438517667, c2=0.0016647292530613481 .................
[CV]  c1=1.7998691438517667, c2=0.0016647292530613481, score=0.600582 -   1.1s
[CV] c1=0.8773587730286915, c2=0.040678617610161755 ..................
[CV]  c1=0.8773587730286915, c2=0.040678617610161755, score=0.682552 -   0.9s
[CV] c1=0.3004057462629707, c2=0.007475130069399942 ..................
[CV]  c1=0.3004057462629707, c2=0.007475130069399942, score=0.841901 -   1.2s
[CV] c1=0.950400105204343, c2=0.0348446059315473 .....................
[CV]  c1=0.950400105204343, c2=0.0348446059315473, score=0.715450 -   1.1s
[CV] c1=0.1029942484617197, c2=0.01402887228392665 ...................
[CV]  c1=0.1029942484617197, c2=0.01402887228392665, score=0.845119 -   1.2s
[CV] c1=0.04212915510697694, c2=0.024509473434780535 .................
[CV]  c1=0.04212915510697694, c2=0.024509473434780535, score=0.850273 -   1.2s
[CV] c1=1.4790221096135188, c2=0.05983404027923575 ...................
[CV]  c1=1.4790221096135188, c2=0.05983404027923575, score=0.626321 -   1.3s
[CV] c1=0.035344697860429694, c2=0.09581750180353088 .................
[CV]  c1=0.035344697860429694, c2=0.09581750180353088, score=0.684265 -   1.0s
[CV] c1=0.5204965555844128, c2=0.07566987609641504 ...................
[CV]  c1=0.5204965555844128, c2=0.07566987609641504, score=0.784980 -   1.2s
[CV] c1=0.9903611934072007, c2=0.049830355290302164 ..................
[CV]  c1=0.9903611934072007, c2=0.049830355290302164, score=0.663780 -   1.0s
[CV] c1=0.05380091780669991, c2=0.014747071936904733 .................
[CV]  c1=0.05380091780669991, c2=0.014747071936904733, score=0.850273 -   1.2s
[CV] c1=1.5629664637909375, c2=0.045287757750887364 ..................
[CV]  c1=1.5629664637909375, c2=0.045287757750887364, score=0.611702 -   1.2s
[CV] c1=0.00396045536809637, c2=0.032729382325449856 .................
[CV]  c1=0.00396045536809637, c2=0.032729382325449856, score=0.850273 -   1.2s
[CV] c1=0.19146872199574044, c2=0.0037545049762589345 ................
[CV]  c1=0.19146872199574044, c2=0.0037545049762589345, score=0.795407 -   1.3s
[CV] c1=0.28078743863160155, c2=0.005938792652234055 .................
[CV]  c1=0.28078743863160155, c2=0.005938792652234055, score=0.875297 -   1.3s
[CV] c1=0.3500715426516628, c2=0.026876829718711567 ..................
[CV]  c1=0.3500715426516628, c2=0.026876829718711567, score=0.878902 -   1.2s
[CV] c1=0.5424796135872385, c2=0.1002955868502274 ....................
[CV]  c1=0.5424796135872385, c2=0.1002955868502274, score=0.724296 -   1.1s
[CV] c1=2.3837162905824685, c2=0.025255542524258323 ..................
[CV]  c1=2.3837162905824685, c2=0.025255542524258323, score=0.568223 -   1.3s
[CV] c1=0.20990853745623644, c2=0.0037913845413419488 ................
[CV]  c1=0.20990853745623644, c2=0.0037913845413419488, score=0.697072 -   1.0s
[CV] c1=0.16991779848394548, c2=0.006506628241042936 .................
[CV]  c1=0.16991779848394548, c2=0.006506628241042936, score=0.808961 -   1.3s
[CV] c1=0.5842908572555043, c2=0.026879390828074903 ..................
[CV]  c1=0.5842908572555043, c2=0.026879390828074903, score=0.709274 -   1.4s
[CV] c1=0.07170387362853846, c2=0.028137660854631364 .................
[CV]  c1=0.07170387362853846, c2=0.028137660854631364, score=0.674439 -   1.0s
[CV] c1=0.0593380549067806, c2=0.2265239508618486 ....................
[CV]  c1=0.0593380549067806, c2=0.2265239508618486, score=0.719727 -   1.2s
[CV] c1=0.6083854130147821, c2=0.10272653027743249 ...................
[CV]  c1=0.6083854130147821, c2=0.10272653027743249, score=0.757910 -   1.3s
[CV] c1=0.00396045536809637, c2=0.032729382325449856 .................
[CV]  c1=0.00396045536809637, c2=0.032729382325449856, score=0.822945 -   1.2s
[CV] c1=0.19146872199574044, c2=0.0037545049762589345 ................
[CV]  c1=0.19146872199574044, c2=0.0037545049762589345, score=0.849682 -   1.2s
[CV] c1=0.045127868775043635, c2=0.03220442960176866 .................
[CV]  c1=0.045127868775043635, c2=0.03220442960176866, score=0.803329 -   1.2s
[CV] c1=0.2969233438132829, c2=0.00928211278542436 ...................
[CV]  c1=0.2969233438132829, c2=0.00928211278542436, score=0.809537 -   1.2s
[CV] c1=0.13018352956717136, c2=0.08992449914920633 ..................
[CV]  c1=0.13018352956717136, c2=0.08992449914920633, score=0.881690 -   1.2s
[CV] c1=2.3837162905824685, c2=0.025255542524258323 ..................
[CV]  c1=2.3837162905824685, c2=0.025255542524258323, score=0.647029 -   1.3s
[CV] c1=1.3792303409783142, c2=0.09982333579602835 ...................
[CV]  c1=1.3792303409783142, c2=0.09982333579602835, score=0.703042 -   1.3s
[CV] c1=0.34464935447569855, c2=0.031955086750600145 .................
[CV]  c1=0.34464935447569855, c2=0.031955086750600145, score=0.739016 -   1.0s
[CV] c1=0.19079976269156765, c2=0.06661657592583468 ..................
[CV]  c1=0.19079976269156765, c2=0.06661657592583468, score=0.766440 -   1.3s
[CV] c1=0.28394476155568116, c2=0.2055052211625611 ...................
[CV]  c1=0.28394476155568116, c2=0.2055052211625611, score=0.860178 -   1.3s
[CV] c1=0.05380091780669991, c2=0.014747071936904733 .................
[CV]  c1=0.05380091780669991, c2=0.014747071936904733, score=0.794627 -   1.3s
[CV] c1=1.5629664637909375, c2=0.045287757750887364 ..................
[CV]  c1=1.5629664637909375, c2=0.045287757750887364, score=0.560397 -   1.3s
[CV] c1=0.018115520642137943, c2=0.0018678238835735913 ...............
[CV]  c1=0.018115520642137943, c2=0.0018678238835735913, score=0.816571 -   1.1s
[CV] c1=0.45538009721607736, c2=0.040622882470771976 .................
[CV]  c1=0.45538009721607736, c2=0.040622882470771976, score=0.798312 -   1.2s
[CV] c1=0.28078743863160155, c2=0.005938792652234055 .................
[CV]  c1=0.28078743863160155, c2=0.005938792652234055, score=0.833035 -   1.3s
[CV] c1=0.3500715426516628, c2=0.026876829718711567 ..................
[CV]  c1=0.3500715426516628, c2=0.026876829718711567, score=0.841049 -   1.2s
[CV] c1=0.5424796135872385, c2=0.1002955868502274 ....................
[CV]  c1=0.5424796135872385, c2=0.1002955868502274, score=0.772091 -   1.2s
[CV] c1=0.08054862435786239, c2=0.13082497127284037 ..................
[CV]  c1=0.08054862435786239, c2=0.13082497127284037, score=0.681941 -   1.0s
[CV] c1=1.2196585526097652, c2=0.08438866630899272 ...................
[CV]  c1=1.2196585526097652, c2=0.08438866630899272, score=0.576038 -   1.3s
[CV] c1=0.2558343664343818, c2=0.051239649943676885 ..................
[CV]  c1=0.2558343664343818, c2=0.051239649943676885, score=0.769883 -   1.2s
[CV] c1=0.6827056467508398, c2=0.002332305122701695 ..................
[CV]  c1=0.6827056467508398, c2=0.002332305122701695, score=0.840046 -   1.3s
[CV] c1=0.07170387362853846, c2=0.028137660854631364 .................
[CV]  c1=0.07170387362853846, c2=0.028137660854631364, score=0.883076 -   1.2s
[CV] c1=0.05380091780669991, c2=0.014747071936904733 .................
[CV]  c1=0.05380091780669991, c2=0.014747071936904733, score=0.778183 -   1.3s
[CV] c1=1.1803470925205737, c2=0.04808659222498485 ...................
[CV]  c1=1.1803470925205737, c2=0.04808659222498485, score=0.708675 -   1.2s
[CV] c1=0.018115520642137943, c2=0.0018678238835735913 ...............
[CV]  c1=0.018115520642137943, c2=0.0018678238835735913, score=0.848634 -   1.1s
[CV] c1=0.9895177548390421, c2=0.003939341018036951 ..................
[CV]  c1=0.9895177548390421, c2=0.003939341018036951, score=0.658803 -   1.2s
[CV] c1=1.6953767328938636, c2=0.04931615120432875 ...................
[CV]  c1=1.6953767328938636, c2=0.04931615120432875, score=0.599670 -   1.1s
[CV] c1=0.3705018814880662, c2=0.06225422479673916 ...................
[CV]  c1=0.3705018814880662, c2=0.06225422479673916, score=0.866775 -   1.4s
[CV] c1=0.07197865254608671, c2=0.030589812781320554 .................
[CV]  c1=0.07197865254608671, c2=0.030589812781320554, score=0.778183 -   1.3s
[CV] c1=0.19515688291336017, c2=0.03044563234535244 ..................
[CV]  c1=0.19515688291336017, c2=0.03044563234535244, score=0.887081 -   1.3s
[CV] c1=0.6116793020508762, c2=0.004380003001134693 ..................
[CV]  c1=0.6116793020508762, c2=0.004380003001134693, score=0.784884 -   1.3s
[CV] c1=0.16991779848394548, c2=0.006506628241042936 .................
[CV]  c1=0.16991779848394548, c2=0.006506628241042936, score=0.853612 -   1.2s
[CV] c1=0.5842908572555043, c2=0.026879390828074903 ..................
[CV]  c1=0.5842908572555043, c2=0.026879390828074903, score=0.839929 -   1.3s
[CV] c1=0.28394476155568116, c2=0.2055052211625611 ...................
[CV]  c1=0.28394476155568116, c2=0.2055052211625611, score=0.678783 -   1.3s
[CV] c1=0.09982252106109041, c2=0.08206321676395872 ..................
[CV]  c1=0.09982252106109041, c2=0.08206321676395872, score=0.891689 -   1.3s
[CV] c1=1.1803470925205737, c2=0.04808659222498485 ...................
[CV]  c1=1.1803470925205737, c2=0.04808659222498485, score=0.642376 -   1.3s
[CV] c1=1.1758565360189894, c2=0.005545809200209032 ..................
[CV]  c1=1.1758565360189894, c2=0.005545809200209032, score=0.840407 -   1.2s
[CV] c1=0.9895177548390421, c2=0.003939341018036951 ..................
[CV]  c1=0.9895177548390421, c2=0.003939341018036951, score=0.850057 -   1.2s
[CV] c1=1.6953767328938636, c2=0.04931615120432875 ...................
[CV]  c1=1.6953767328938636, c2=0.04931615120432875, score=0.794073 -   1.3s
[CV] c1=0.3433677454291472, c2=0.047458614073224575 ..................
[CV]  c1=0.3433677454291472, c2=0.047458614073224575, score=0.861903 -   1.4s
[CV] c1=0.5613338791980581, c2=0.013315452460376645 ..................
[CV]  c1=0.5613338791980581, c2=0.013315452460376645, score=0.771927 -   1.0s
[CV] c1=0.3393744548510146, c2=0.014960310442164351 ..................
[CV]  c1=0.3393744548510146, c2=0.014960310442164351, score=0.874570 -   1.4s
[CV] c1=0.6116793020508762, c2=0.004380003001134693 ..................
[CV]  c1=0.6116793020508762, c2=0.004380003001134693, score=0.734691 -   1.0s
[CV] c1=1.4598667935987795, c2=0.135625087558158 .....................
[CV]  c1=1.4598667935987795, c2=0.135625087558158, score=0.643713 -   1.3s
[CV] c1=0.07270219243895214, c2=0.07488953848312839 ..................
[CV]  c1=0.07270219243895214, c2=0.07488953848312839, score=0.817659 -   1.3s
[CV] c1=0.5989742003428553, c2=0.03634315411605542 ...................
[CV]  c1=0.5989742003428553, c2=0.03634315411605542, score=0.840936 -   1.3s
[CV] c1=0.0593380549067806, c2=0.2265239508618486 ....................
[CV]  c1=0.0593380549067806, c2=0.2265239508618486, score=0.788217 -   1.3s
[CV] c1=1.5629664637909375, c2=0.045287757750887364 ..................
[CV]  c1=1.5629664637909375, c2=0.045287757750887364, score=0.699104 -   1.2s
[CV] c1=0.018115520642137943, c2=0.0018678238835735913 ...............
[CV]  c1=0.018115520642137943, c2=0.0018678238835735913, score=0.847714 -   1.2s
[CV] c1=0.12319490153227548, c2=0.034098666779189844 .................
[CV]  c1=0.12319490153227548, c2=0.034098666779189844, score=0.797924 -   1.2s
[CV] c1=0.6801650087130146, c2=0.007406170082446398 ..................
[CV]  c1=0.6801650087130146, c2=0.007406170082446398, score=0.687287 -   1.2s
[CV] c1=0.018334779289947804, c2=0.09432261801055315 .................
[CV]  c1=0.018334779289947804, c2=0.09432261801055315, score=0.818295 -   1.2s
[CV] c1=0.7410774579280734, c2=0.0038965524956909147 .................
[CV]  c1=0.7410774579280734, c2=0.0038965524956909147, score=0.773205 -   1.3s
[CV] c1=0.10297888254439276, c2=0.04520976627291944 ..................
[CV]  c1=0.10297888254439276, c2=0.04520976627291944, score=0.816782 -   1.3s
[CV] c1=1.4790221096135188, c2=0.05983404027923575 ...................
[CV]  c1=1.4790221096135188, c2=0.05983404027923575, score=0.795910 -   1.2s
[CV] c1=0.6121065067836438, c2=0.05949035791590066 ...................
[CV]  c1=0.6121065067836438, c2=0.05949035791590066, score=0.688042 -   1.3s
[CV] c1=0.07071564789911453, c2=0.0033624739266432386 ................
[CV]  c1=0.07071564789911453, c2=0.0033624739266432386, score=0.860793 -   1.2s
[CV] c1=0.9903611934072007, c2=0.049830355290302164 ..................
[CV]  c1=0.9903611934072007, c2=0.049830355290302164, score=0.613680 -   1.3s
[CV] c1=0.4620626793131946, c2=0.16846664485398852 ...................
[CV]  c1=0.4620626793131946, c2=0.16846664485398852, score=0.728165 -   1.2s
[CV] c1=0.14728974737590575, c2=0.08402326806272191 ..................
[CV]  c1=0.14728974737590575, c2=0.08402326806272191, score=0.842504 -   1.2s
[CV] c1=0.978533689468983, c2=0.001346876491222693 ...................
[CV]  c1=0.978533689468983, c2=0.001346876491222693, score=0.787505 -   1.0s
[CV] c1=1.7998691438517667, c2=0.0016647292530613481 .................
[CV]  c1=1.7998691438517667, c2=0.0016647292530613481, score=0.778291 -   1.2s
[CV] c1=0.8773587730286915, c2=0.040678617610161755 ..................
[CV]  c1=0.8773587730286915, c2=0.040678617610161755, score=0.746072 -   1.1s
[CV] c1=0.3433677454291472, c2=0.047458614073224575 ..................
[CV]  c1=0.3433677454291472, c2=0.047458614073224575, score=0.659591 -   1.0s
[CV] c1=0.07197865254608671, c2=0.030589812781320554 .................
[CV]  c1=0.07197865254608671, c2=0.030589812781320554, score=0.886158 -   1.2s
[CV] c1=0.1029942484617197, c2=0.01402887228392665 ...................
[CV]  c1=0.1029942484617197, c2=0.01402887228392665, score=0.778183 -   1.3s
[CV] c1=0.8818017257537359, c2=0.04247335471990201 ...................
[CV]  c1=0.8818017257537359, c2=0.04247335471990201, score=0.643441 -   1.0s
[CV] c1=1.4790221096135188, c2=0.05983404027923575 ...................
[CV]  c1=1.4790221096135188, c2=0.05983404027923575, score=0.701196 -   1.2s
[CV] c1=0.6121065067836438, c2=0.05949035791590066 ...................
[CV]  c1=0.6121065067836438, c2=0.05949035791590066, score=0.795362 -   1.2s
[CV] c1=0.07071564789911453, c2=0.0033624739266432386 ................
[CV]  c1=0.07071564789911453, c2=0.0033624739266432386, score=0.778183 -   1.3s
[CV] c1=0.3294742282366649, c2=0.013267258056859835 ..................
[CV]  c1=0.3294742282366649, c2=0.013267258056859835, score=0.724123 -   1.1s
[CV] c1=0.4620626793131946, c2=0.16846664485398852 ...................
[CV]  c1=0.4620626793131946, c2=0.16846664485398852, score=0.674320 -   1.0s
[CV] c1=1.1803470925205737, c2=0.04808659222498485 ...................
[CV]  c1=1.1803470925205737, c2=0.04808659222498485, score=0.610502 -   1.2s
[CV] c1=1.1758565360189894, c2=0.005545809200209032 ..................
[CV]  c1=1.1758565360189894, c2=0.005545809200209032, score=0.608933 -   1.0s
[CV] c1=0.7881604919326587, c2=0.013416581499429809 ..................
[CV]  c1=0.7881604919326587, c2=0.013416581499429809, score=0.677165 -   1.3s
[CV] c1=0.6801650087130146, c2=0.007406170082446398 ..................
[CV]  c1=0.6801650087130146, c2=0.007406170082446398, score=0.726221 -   1.0s
[CV] c1=0.2969233438132829, c2=0.00928211278542436 ...................
[CV]  c1=0.2969233438132829, c2=0.00928211278542436, score=0.841580 -   1.2s
[CV] c1=0.059013428425391305, c2=0.04788628566112286 .................
[CV]  c1=0.059013428425391305, c2=0.04788628566112286, score=0.808473 -   1.2s
[CV] c1=0.1839189062645173, c2=0.11989162854317399 ...................
[CV]  c1=0.1839189062645173, c2=0.11989162854317399, score=0.661590 -   1.0s
[CV] c1=0.15801563824212186, c2=0.003316695549744876 .................
[CV]  c1=0.15801563824212186, c2=0.003316695549744876, score=0.791106 -   1.2s
[CV] c1=1.4598667935987795, c2=0.135625087558158 .....................
[CV]  c1=1.4598667935987795, c2=0.135625087558158, score=0.608252 -   1.0s
[CV] c1=0.6121065067836438, c2=0.05949035791590066 ...................
[CV]  c1=0.6121065067836438, c2=0.05949035791590066, score=0.785844 -   1.3s
[CV] c1=0.3464531931613335, c2=0.004705315446293243 ..................
[CV]  c1=0.3464531931613335, c2=0.004705315446293243, score=0.795586 -   1.2s
[CV] c1=0.3294742282366649, c2=0.013267258056859835 ..................
[CV]  c1=0.3294742282366649, c2=0.013267258056859835, score=0.794848 -   1.2s
[CV] c1=0.3334345699868368, c2=0.0009315520521877709 .................
[CV]  c1=0.3334345699868368, c2=0.0009315520521877709, score=0.689603 -   1.0s
[CV] c1=0.09087799992838272, c2=0.0770866080230101 ...................
[CV]  c1=0.09087799992838272, c2=0.0770866080230101, score=0.833717 -   1.3s
[CV] c1=0.978533689468983, c2=0.001346876491222693 ...................
[CV]  c1=0.978533689468983, c2=0.001346876491222693, score=0.670700 -   0.9s
[CV] c1=1.7998691438517667, c2=0.0016647292530613481 .................
[CV]  c1=1.7998691438517667, c2=0.0016647292530613481, score=0.585998 -   1.3s
[CV] c1=0.045127868775043635, c2=0.03220442960176866 .................
[CV]  c1=0.045127868775043635, c2=0.03220442960176866, score=0.778183 -   1.3s
[CV] c1=0.18156368978044707, c2=0.011784610524098654 .................
[CV]  c1=0.18156368978044707, c2=0.011784610524098654, score=0.778183 -   1.3s
[CV] c1=0.5424796135872385, c2=0.1002955868502274 ....................
[CV]  c1=0.5424796135872385, c2=0.1002955868502274, score=0.678243 -   1.3s
[CV] c1=0.08054862435786239, c2=0.13082497127284037 ..................
[CV]  c1=0.08054862435786239, c2=0.13082497127284037, score=0.830123 -   1.2s
[CV] c1=0.20990853745623644, c2=0.0037913845413419488 ................
[CV]  c1=0.20990853745623644, c2=0.0037913845413419488, score=0.799890 -   1.3s
[CV] c1=0.4086400515209364, c2=0.02695582510625476 ...................
[CV]  c1=0.4086400515209364, c2=0.02695582510625476, score=0.742442 -   1.3s
[CV] c1=0.5204965555844128, c2=0.07566987609641504 ...................
[CV]  c1=0.5204965555844128, c2=0.07566987609641504, score=0.772476 -   1.3s
[CV] c1=1.2726252511850142, c2=0.13125186488190418 ...................
[CV]  c1=1.2726252511850142, c2=0.13125186488190418, score=0.565656 -   1.0s
[CV] c1=0.941837160990803, c2=0.021421049738884965 ...................
[CV]  c1=0.941837160990803, c2=0.021421049738884965, score=0.845438 -   1.2s
[CV] c1=0.09087799992838272, c2=0.0770866080230101 ...................
[CV]  c1=0.09087799992838272, c2=0.0770866080230101, score=0.688930 -   1.0s
[CV] c1=0.00396045536809637, c2=0.032729382325449856 .................
[CV]  c1=0.00396045536809637, c2=0.032729382325449856, score=0.816782 -   1.3s
[CV] c1=0.7881604919326587, c2=0.013416581499429809 ..................
[CV]  c1=0.7881604919326587, c2=0.013416581499429809, score=0.722125 -   1.3s
[CV] c1=0.6801650087130146, c2=0.007406170082446398 ..................
[CV]  c1=0.6801650087130146, c2=0.007406170082446398, score=0.778577 -   1.2s
[CV] c1=0.018334779289947804, c2=0.09432261801055315 .................
[CV]  c1=0.018334779289947804, c2=0.09432261801055315, score=0.846276 -   1.1s
[CV] c1=0.7410774579280734, c2=0.0038965524956909147 .................
[CV]  c1=0.7410774579280734, c2=0.0038965524956909147, score=0.756694 -   1.1s
[CV] c1=0.08054862435786239, c2=0.13082497127284037 ..................
[CV]  c1=0.08054862435786239, c2=0.13082497127284037, score=0.880288 -   1.2s
[CV] c1=0.20990853745623644, c2=0.0037913845413419488 ................
[CV]  c1=0.20990853745623644, c2=0.0037913845413419488, score=0.787906 -   1.3s
[CV] c1=0.34464935447569855, c2=0.031955086750600145 .................
[CV]  c1=0.34464935447569855, c2=0.031955086750600145, score=0.774505 -   1.3s
[CV] c1=0.5204965555844128, c2=0.07566987609641504 ...................
[CV]  c1=0.5204965555844128, c2=0.07566987609641504, score=0.691209 -   1.3s
[CV] c1=0.9903611934072007, c2=0.049830355290302164 ..................
[CV]  c1=0.9903611934072007, c2=0.049830355290302164, score=0.712671 -   1.2s
[CV] c1=0.941837160990803, c2=0.021421049738884965 ...................
[CV]  c1=0.941837160990803, c2=0.021421049738884965, score=0.735187 -   1.2s
[CV] c1=0.09087799992838272, c2=0.0770866080230101 ...................
[CV]  c1=0.09087799992838272, c2=0.0770866080230101, score=0.844198 -   1.2s
[CV] c1=1.1758565360189894, c2=0.005545809200209032 ..................
[CV]  c1=1.1758565360189894, c2=0.005545809200209032, score=0.736061 -   1.0s
[CV] c1=0.7881604919326587, c2=0.013416581499429809 ..................
[CV]  c1=0.7881604919326587, c2=0.013416581499429809, score=0.723972 -   1.2s
[CV] c1=0.746398422022898, c2=0.05681184439644731 ....................
[CV]  c1=0.746398422022898, c2=0.05681184439644731, score=0.780561 -   1.2s
[CV] c1=0.3500715426516628, c2=0.026876829718711567 ..................
[CV]  c1=0.3500715426516628, c2=0.026876829718711567, score=0.788046 -   1.2s
[CV] c1=0.7410774579280734, c2=0.0038965524956909147 .................
[CV]  c1=0.7410774579280734, c2=0.0038965524956909147, score=0.723015 -   1.2s
[CV] c1=0.10297888254439276, c2=0.04520976627291944 ..................
[CV]  c1=0.10297888254439276, c2=0.04520976627291944, score=0.796491 -   1.2s
[CV] c1=0.7416634293011652, c2=0.05540022098119793 ...................
[CV]  c1=0.7416634293011652, c2=0.05540022098119793, score=0.687226 -   1.3s
[CV] c1=0.4086400515209364, c2=0.02695582510625476 ...................
[CV]  c1=0.4086400515209364, c2=0.02695582510625476, score=0.787794 -   1.3s
[CV] c1=0.07071564789911453, c2=0.0033624739266432386 ................
[CV]  c1=0.07071564789911453, c2=0.0033624739266432386, score=0.868605 -   1.2s
[CV] c1=1.2726252511850142, c2=0.13125186488190418 ...................
[CV]  c1=1.2726252511850142, c2=0.13125186488190418, score=0.808416 -   1.2s
[CV] c1=0.941837160990803, c2=0.021421049738884965 ...................
[CV]  c1=0.941837160990803, c2=0.021421049738884965, score=0.634380 -   1.2s
[CV] c1=0.14728974737590575, c2=0.08402326806272191 ..................
[CV]  c1=0.14728974737590575, c2=0.08402326806272191, score=0.664466 -   1.0s
[CV] c1=0.018115520642137943, c2=0.0018678238835735913 ...............
[CV]  c1=0.018115520642137943, c2=0.0018678238835735913, score=0.788220 -   1.2s
[CV] c1=0.45538009721607736, c2=0.040622882470771976 .................
[CV]  c1=0.45538009721607736, c2=0.040622882470771976, score=0.850330 -   1.2s
[CV] c1=0.28078743863160155, c2=0.005938792652234055 .................
[CV]  c1=0.28078743863160155, c2=0.005938792652234055, score=0.787182 -   1.2s
[CV] c1=0.18156368978044707, c2=0.011784610524098654 .................
[CV]  c1=0.18156368978044707, c2=0.011784610524098654, score=0.842383 -   1.2s
[CV] c1=0.13018352956717136, c2=0.08992449914920633 ..................
[CV]  c1=0.13018352956717136, c2=0.08992449914920633, score=0.837930 -   1.2s
[CV] c1=2.3837162905824685, c2=0.025255542524258323 ..................
[CV]  c1=2.3837162905824685, c2=0.025255542524258323, score=0.580639 -   1.0s
[CV] c1=0.6116793020508762, c2=0.004380003001134693 ..................
[CV]  c1=0.6116793020508762, c2=0.004380003001134693, score=0.723415 -   1.3s
[CV] c1=0.16991779848394548, c2=0.006506628241042936 .................
[CV]  c1=0.16991779848394548, c2=0.006506628241042936, score=0.796259 -   1.3s
[CV] c1=0.5842908572555043, c2=0.026879390828074903 ..................
[CV]  c1=0.5842908572555043, c2=0.026879390828074903, score=0.738418 -   1.0s
[CV] c1=0.27865015337858706, c2=0.035564795684483015 .................
[CV]  c1=0.27865015337858706, c2=0.035564795684483015, score=0.662468 -   1.0s
[CV] c1=0.7069345635802073, c2=0.0008937466278033778 .................
[CV]  c1=0.7069345635802073, c2=0.0008937466278033778, score=0.752967 -   1.0s
[CV] c1=0.3334345699868368, c2=0.0009315520521877709 .................
[CV]  c1=0.3334345699868368, c2=0.0009315520521877709, score=0.884000 -   1.2s
[CV] c1=0.3838644531078351, c2=0.06000843223934941 ...................
[CV]  c1=0.3838644531078351, c2=0.06000843223934941, score=0.662164 -   1.0s
[CV] c1=0.978533689468983, c2=0.001346876491222693 ...................
[CV]  c1=0.978533689468983, c2=0.001346876491222693, score=0.844190 -   1.2s
[CV] c1=0.44941228372891096, c2=0.005368029060162858 .................
[CV]  c1=0.44941228372891096, c2=0.005368029060162858, score=0.835046 -   1.2s
[CV] c1=0.8773587730286915, c2=0.040678617610161755 ..................
[CV]  c1=0.8773587730286915, c2=0.040678617610161755, score=0.637436 -   1.2s
[CV] c1=1.2991603829723029, c2=0.008937911530913197 ..................
[CV]  c1=1.2991603829723029, c2=0.008937911530913197, score=0.603415 -   1.4s
[CV] c1=0.059013428425391305, c2=0.04788628566112286 .................
[CV]  c1=0.059013428425391305, c2=0.04788628566112286, score=0.816782 -   1.3s
[CV] c1=2.3837162905824685, c2=0.025255542524258323 ..................
[CV]  c1=2.3837162905824685, c2=0.025255542524258323, score=0.590200 -   1.2s
[CV] c1=1.3792303409783142, c2=0.09982333579602835 ...................
[CV]  c1=1.3792303409783142, c2=0.09982333579602835, score=0.622325 -   1.3s
[CV] c1=0.34464935447569855, c2=0.031955086750600145 .................
[CV]  c1=0.34464935447569855, c2=0.031955086750600145, score=0.869152 -   1.3s
[CV] c1=0.6827056467508398, c2=0.002332305122701695 ..................
[CV]  c1=0.6827056467508398, c2=0.002332305122701695, score=0.784008 -   1.2s
[CV] c1=0.07170387362853846, c2=0.028137660854631364 .................
[CV]  c1=0.07170387362853846, c2=0.028137660854631364, score=0.839828 -   1.2s
[CV] c1=0.09982252106109041, c2=0.08206321676395872 ..................
[CV]  c1=0.09982252106109041, c2=0.08206321676395872, score=0.795952 -   1.3s
[CV] c1=0.09087799992838272, c2=0.0770866080230101 ...................
[CV]  c1=0.09087799992838272, c2=0.0770866080230101, score=0.892144 -   1.2s
[CV] c1=1.1758565360189894, c2=0.005545809200209032 ..................
[CV]  c1=1.1758565360189894, c2=0.005545809200209032, score=0.655938 -   1.2s
[CV] c1=0.12319490153227548, c2=0.034098666779189844 .................
[CV]  c1=0.12319490153227548, c2=0.034098666779189844, score=0.778183 -   1.3s
[CV] c1=0.6801650087130146, c2=0.007406170082446398 ..................
[CV]  c1=0.6801650087130146, c2=0.007406170082446398, score=0.774087 -   1.3s
[CV] c1=0.950400105204343, c2=0.0348446059315473 .....................
[CV]  c1=0.950400105204343, c2=0.0348446059315473, score=0.850336 -   1.4s
[CV] c1=0.1029942484617197, c2=0.01402887228392665 ...................
[CV]  c1=0.1029942484617197, c2=0.01402887228392665, score=0.799487 -   1.2s
[CV] c1=0.04212915510697694, c2=0.024509473434780535 .................
[CV]  c1=0.04212915510697694, c2=0.024509473434780535, score=0.801676 -   1.2s
[CV] c1=1.4790221096135188, c2=0.05983404027923575 ...................
[CV]  c1=1.4790221096135188, c2=0.05983404027923575, score=0.565250 -   1.0s
[CV] c1=0.4086400515209364, c2=0.02695582510625476 ...................
[CV]  c1=0.4086400515209364, c2=0.02695582510625476, score=0.865986 -   1.4s
[CV] c1=0.07071564789911453, c2=0.0033624739266432386 ................
[CV]  c1=0.07071564789911453, c2=0.0033624739266432386, score=0.814052 -   1.2s
[CV] c1=1.2726252511850142, c2=0.13125186488190418 ...................
[CV]  c1=1.2726252511850142, c2=0.13125186488190418, score=0.629186 -   1.2s
[CV] c1=0.4620626793131946, c2=0.16846664485398852 ...................
[CV]  c1=0.4620626793131946, c2=0.16846664485398852, score=0.673847 -   1.3s
[CV] c1=0.14728974737590575, c2=0.08402326806272191 ..................
[CV]  c1=0.14728974737590575, c2=0.08402326806272191, score=0.771941 -   1.3s
[CV] c1=0.5034615846576403, c2=0.029447569155519833 ..................
[CV]  c1=0.5034615846576403, c2=0.029447569155519833, score=0.751337 -   0.9s
[CV] c1=0.543804549494017, c2=0.11312020858350125 ....................
[CV]  c1=0.543804549494017, c2=0.11312020858350125, score=0.764863 -   1.4s
[CV] c1=1.1218763974298378, c2=0.021802671878529196 ..................
[CV]  c1=1.1218763974298378, c2=0.021802671878529196, score=0.624246 -   1.3s
[CV] c1=0.18156368978044707, c2=0.011784610524098654 .................
[CV]  c1=0.18156368978044707, c2=0.011784610524098654, score=0.875413 -   1.2s
[CV] c1=0.13018352956717136, c2=0.08992449914920633 ..................
[CV]  c1=0.13018352956717136, c2=0.08992449914920633, score=0.779986 -   1.3s
[CV] c1=0.08054862435786239, c2=0.13082497127284037 ..................
[CV]  c1=0.08054862435786239, c2=0.13082497127284037, score=0.779095 -   1.2s
[CV] c1=0.20990853745623644, c2=0.0037913845413419488 ................
[CV]  c1=0.20990853745623644, c2=0.0037913845413419488, score=0.853493 -   1.2s
[CV] c1=0.34464935447569855, c2=0.031955086750600145 .................
[CV]  c1=0.34464935447569855, c2=0.031955086750600145, score=0.837296 -   1.2s
[CV] c1=0.6827056467508398, c2=0.002332305122701695 ..................
[CV]  c1=0.6827056467508398, c2=0.002332305122701695, score=0.779350 -   1.3s
[CV] c1=0.9903611934072007, c2=0.049830355290302164 ..................
[CV]  c1=0.9903611934072007, c2=0.049830355290302164, score=0.645241 -   1.3s
[CV] c1=0.941837160990803, c2=0.021421049738884965 ...................
[CV]  c1=0.941837160990803, c2=0.021421049738884965, score=0.667304 -   1.2s
[CV] c1=0.14728974737590575, c2=0.08402326806272191 ..................
[CV]  c1=0.14728974737590575, c2=0.08402326806272191, score=0.877063 -   1.3s
[CV] c1=0.978533689468983, c2=0.001346876491222693 ...................
[CV]  c1=0.978533689468983, c2=0.001346876491222693, score=0.689654 -   1.1s
[CV] c1=0.543804549494017, c2=0.11312020858350125 ....................
[CV]  c1=0.543804549494017, c2=0.11312020858350125, score=0.674602 -   1.2s
[CV] c1=1.6953767328938636, c2=0.04931615120432875 ...................
[CV]  c1=1.6953767328938636, c2=0.04931615120432875, score=0.600582 -   1.2s
[CV] c1=0.3705018814880662, c2=0.06225422479673916 ...................
[CV]  c1=0.3705018814880662, c2=0.06225422479673916, score=0.836474 -   1.2s
[CV] c1=0.07197865254608671, c2=0.030589812781320554 .................
[CV]  c1=0.07197865254608671, c2=0.030589812781320554, score=0.845119 -   1.1s
[CV] c1=1.1559916194073026, c2=0.049756982695289984 ..................
[CV]  c1=1.1559916194073026, c2=0.049756982695289984, score=0.638624 -   1.1s
[CV] c1=0.04212915510697694, c2=0.024509473434780535 .................
[CV]  c1=0.04212915510697694, c2=0.024509473434780535, score=0.778183 -   1.3s
[CV] c1=0.22266055678927907, c2=0.0033453755966970002 ................
[CV]  c1=0.22266055678927907, c2=0.0033453755966970002, score=0.661082 -   1.0s
[CV] c1=0.6121065067836438, c2=0.05949035791590066 ...................
[CV]  c1=0.6121065067836438, c2=0.05949035791590066, score=0.734707 -   1.0s
[CV] c1=0.5204965555844128, c2=0.07566987609641504 ...................
[CV]  c1=0.5204965555844128, c2=0.07566987609641504, score=0.848689 -   1.5s
[CV] c1=1.2726252511850142, c2=0.13125186488190418 ...................
[CV]  c1=1.2726252511850142, c2=0.13125186488190418, score=0.703042 -   1.2s
[CV] c1=0.4620626793131946, c2=0.16846664485398852 ...................
[CV]  c1=0.4620626793131946, c2=0.16846664485398852, score=0.753752 -   1.3s
[CV] c1=0.3838644531078351, c2=0.06000843223934941 ...................
[CV]  c1=0.3838644531078351, c2=0.06000843223934941, score=0.774809 -   1.3s
[CV] c1=0.08446022075353088, c2=0.05366475503866888 ..................
[CV]  c1=0.08446022075353088, c2=0.05366475503866888, score=0.668724 -   0.9s
[CV] c1=0.543804549494017, c2=0.11312020858350125 ....................
[CV]  c1=0.543804549494017, c2=0.11312020858350125, score=0.721140 -   1.1s
[CV] c1=0.14972735785304153, c2=0.02028779047474419 ..................
[CV]  c1=0.14972735785304153, c2=0.02028779047474419, score=0.849731 -   1.1s
[CV] c1=0.3004057462629707, c2=0.007475130069399942 ..................
[CV]  c1=0.3004057462629707, c2=0.007475130069399942, score=0.786209 -   1.3s
[CV] c1=0.950400105204343, c2=0.0348446059315473 .....................
[CV]  c1=0.950400105204343, c2=0.0348446059315473, score=0.629685 -   1.3s
[CV] c1=1.1559916194073026, c2=0.049756982695289984 ..................
[CV]  c1=1.1559916194073026, c2=0.049756982695289984, score=0.636878 -   1.3s
[CV] c1=0.8818017257537359, c2=0.04247335471990201 ...................
[CV]  c1=0.8818017257537359, c2=0.04247335471990201, score=0.667304 -   1.2s
[CV] c1=0.22266055678927907, c2=0.0033453755966970002 ................
[CV]  c1=0.22266055678927907, c2=0.0033453755966970002, score=0.792128 -   1.3s
[CV] c1=0.07270219243895214, c2=0.07488953848312839 ..................
[CV]  c1=0.07270219243895214, c2=0.07488953848312839, score=0.815881 -   1.3s
[CV] c1=0.2990904461623244, c2=0.028879524109135104 ..................
[CV]  c1=0.2990904461623244, c2=0.028879524109135104, score=0.780901 -   1.3s
[CV] c1=0.29761242907171015, c2=0.009795016609212837 .................
[CV]  c1=0.29761242907171015, c2=0.009795016609212837, score=0.693635 -   1.0s
[CV] c1=0.7375857313970697, c2=0.025792109308760733 ..................
[CV]  c1=0.7375857313970697, c2=0.025792109308760733, score=0.847985 -   1.3s
[CV] c1=0.4329547020158352, c2=0.23729043962305796 ...................
[CV]  c1=0.4329547020158352, c2=0.23729043962305796, score=0.636420 -   1.0s
[CV] c1=0.5034615846576403, c2=0.029447569155519833 ..................
[CV]  c1=0.5034615846576403, c2=0.029447569155519833, score=0.706217 -   1.1s
[CV] c1=0.45538009721607736, c2=0.040622882470771976 .................
[CV]  c1=0.45538009721607736, c2=0.040622882470771976, score=0.662914 -   1.0s
[CV] c1=1.1218763974298378, c2=0.021802671878529196 ..................
[CV]  c1=1.1218763974298378, c2=0.021802671878529196, score=0.609765 -   1.0s
[CV] c1=0.3705018814880662, c2=0.06225422479673916 ...................
[CV]  c1=0.3705018814880662, c2=0.06225422479673916, score=0.750644 -   1.3s
[CV] c1=0.31990089091442564, c2=0.0264952415754038 ...................
[CV]  c1=0.31990089091442564, c2=0.0264952415754038, score=0.838989 -   1.2s
[CV] c1=0.3393744548510146, c2=0.014960310442164351 ..................
[CV]  c1=0.3393744548510146, c2=0.014960310442164351, score=0.843426 -   1.2s
[CV] c1=0.15801563824212186, c2=0.003316695549744876 .................
[CV]  c1=0.15801563824212186, c2=0.003316695549744876, score=0.873690 -   1.2s
[CV] c1=1.4598667935987795, c2=0.135625087558158 .....................
[CV]  c1=1.4598667935987795, c2=0.135625087558158, score=0.789883 -   1.2s
[CV] c1=0.07270219243895214, c2=0.07488953848312839 ..................
[CV]  c1=0.07270219243895214, c2=0.07488953848312839, score=0.678120 -   1.0s
[CV] c1=0.3464531931613335, c2=0.004705315446293243 ..................
[CV]  c1=0.3464531931613335, c2=0.004705315446293243, score=0.880718 -   1.3s
[CV] c1=0.3294742282366649, c2=0.013267258056859835 ..................
[CV]  c1=0.3294742282366649, c2=0.013267258056859835, score=0.844411 -   1.2s
[CV] c1=0.3334345699868368, c2=0.0009315520521877709 .................
[CV]  c1=0.3334345699868368, c2=0.0009315520521877709, score=0.790679 -   1.2s
[CV] c1=0.3838644531078351, c2=0.06000843223934941 ...................
[CV]  c1=0.3838644531078351, c2=0.06000843223934941, score=0.745586 -   1.2s
[CV] c1=0.5034615846576403, c2=0.029447569155519833 ..................
[CV]  c1=0.5034615846576403, c2=0.029447569155519833, score=0.841049 -   1.0s
[CV] c1=1.7998691438517667, c2=0.0016647292530613481 .................
[CV]  c1=1.7998691438517667, c2=0.0016647292530613481, score=0.565250 -   0.8s
[CV] c1=0.14972735785304153, c2=0.02028779047474419 ..................
[CV]  c1=0.14972735785304153, c2=0.02028779047474419, score=0.707840 -   1.0s
[CV] c1=0.3004057462629707, c2=0.007475130069399942 ..................
[CV]  c1=0.3004057462629707, c2=0.007475130069399942, score=0.885516 -   1.3s
[CV] c1=0.950400105204343, c2=0.0348446059315473 .....................
[CV]  c1=0.950400105204343, c2=0.0348446059315473, score=0.663780 -   1.0s
[CV] c1=0.5424796135872385, c2=0.1002955868502274 ....................
[CV]  c1=0.5424796135872385, c2=0.1002955868502274, score=0.761331 -   1.3s
[CV] c1=0.08054862435786239, c2=0.13082497127284037 ..................
[CV]  c1=0.08054862435786239, c2=0.13082497127284037, score=0.832801 -   1.3s
[CV] c1=0.7416634293011652, c2=0.05540022098119793 ...................
[CV]  c1=0.7416634293011652, c2=0.05540022098119793, score=0.719967 -   1.3s
[CV] c1=0.6121065067836438, c2=0.05949035791590066 ...................
[CV]  c1=0.6121065067836438, c2=0.05949035791590066, score=0.841440 -   1.3s
[CV] c1=0.07071564789911453, c2=0.0033624739266432386 ................
[CV]  c1=0.07071564789911453, c2=0.0033624739266432386, score=0.727384 -   1.0s
[CV] c1=0.07170387362853846, c2=0.028137660854631364 .................
[CV]  c1=0.07170387362853846, c2=0.028137660854631364, score=0.778183 -   1.4s
[CV] c1=0.4620626793131946, c2=0.16846664485398852 ...................
[CV]  c1=0.4620626793131946, c2=0.16846664485398852, score=0.849374 -   1.2s
[CV] c1=0.14728974737590575, c2=0.08402326806272191 ..................
[CV]  c1=0.14728974737590575, c2=0.08402326806272191, score=0.766440 -   1.3s
[CV] c1=0.978533689468983, c2=0.001346876491222693 ...................
[CV]  c1=0.978533689468983, c2=0.001346876491222693, score=0.634380 -   1.1s
[CV] c1=0.44941228372891096, c2=0.005368029060162858 .................
[CV]  c1=0.44941228372891096, c2=0.005368029060162858, score=0.768129 -   1.0s
[CV] c1=0.14972735785304153, c2=0.02028779047474419 ..................
[CV]  c1=0.14972735785304153, c2=0.02028779047474419, score=0.791557 -   1.2s
[CV] c1=0.3004057462629707, c2=0.007475130069399942 ..................
[CV]  c1=0.3004057462629707, c2=0.007475130069399942, score=0.792250 -   1.3s
[CV] c1=0.07197865254608671, c2=0.030589812781320554 .................
[CV]  c1=0.07197865254608671, c2=0.030589812781320554, score=0.677865 -   0.9s
[CV] c1=0.1029942484617197, c2=0.01402887228392665 ...................
[CV]  c1=0.1029942484617197, c2=0.01402887228392665, score=0.669056 -   1.1s
[CV] c1=0.10297888254439276, c2=0.04520976627291944 ..................
[CV]  c1=0.10297888254439276, c2=0.04520976627291944, score=0.881556 -   1.2s
[CV] c1=0.7416634293011652, c2=0.05540022098119793 ...................
[CV]  c1=0.7416634293011652, c2=0.05540022098119793, score=0.765882 -   1.2s
[CV] c1=0.4086400515209364, c2=0.02695582510625476 ...................
[CV]  c1=0.4086400515209364, c2=0.02695582510625476, score=0.659591 -   1.0s
[CV] c1=0.5842908572555043, c2=0.026879390828074903 ..................
[CV]  c1=0.5842908572555043, c2=0.026879390828074903, score=0.792742 -   1.3s
[CV] c1=0.28394476155568116, c2=0.2055052211625611 ...................
[CV]  c1=0.28394476155568116, c2=0.2055052211625611, score=0.767628 -   1.3s
[CV] c1=0.09982252106109041, c2=0.08206321676395872 ..................
[CV]  c1=0.09982252106109041, c2=0.08206321676395872, score=0.836368 -   1.3s
[CV] c1=0.09087799992838272, c2=0.0770866080230101 ...................
[CV]  c1=0.09087799992838272, c2=0.0770866080230101, score=0.805027 -   1.2s
[CV] c1=1.1758565360189894, c2=0.005545809200209032 ..................
[CV]  c1=1.1758565360189894, c2=0.005545809200209032, score=0.634380 -   1.3s
[CV] c1=0.44941228372891096, c2=0.005368029060162858 .................
[CV]  c1=0.44941228372891096, c2=0.005368029060162858, score=0.819683 -   1.4s
[CV] c1=0.28078743863160155, c2=0.005938792652234055 .................
[CV]  c1=0.28078743863160155, c2=0.005938792652234055, score=0.729065 -   0.9s
[CV] c1=1.2991603829723029, c2=0.008937911530913197 ..................
[CV]  c1=1.2991603829723029, c2=0.008937911530913197, score=0.637190 -   1.0s
[CV] c1=0.07197865254608671, c2=0.030589812781320554 .................
[CV]  c1=0.07197865254608671, c2=0.030589812781320554, score=0.808473 -   1.3s
[CV] c1=1.1559916194073026, c2=0.049756982695289984 ..................
[CV]  c1=1.1559916194073026, c2=0.049756982695289984, score=0.583458 -   1.3s
[CV] c1=0.15801563824212186, c2=0.003316695549744876 .................
[CV]  c1=0.15801563824212186, c2=0.003316695549744876, score=0.768952 -   1.3s
[CV] c1=0.19025723871408623, c2=0.036350364051938484 .................
[CV]  c1=0.19025723871408623, c2=0.036350364051938484, score=0.670632 -   1.0s
[CV] c1=0.07270219243895214, c2=0.07488953848312839 ..................
[CV]  c1=0.07270219243895214, c2=0.07488953848312839, score=0.883178 -   1.3s
[CV] c1=0.2990904461623244, c2=0.028879524109135104 ..................
[CV]  c1=0.2990904461623244, c2=0.028879524109135104, score=0.842320 -   1.2s
[CV] c1=0.7069345635802073, c2=0.0008937466278033778 .................
[CV]  c1=0.7069345635802073, c2=0.0008937466278033778, score=0.784008 -   1.3s
[CV] c1=0.7375857313970697, c2=0.025792109308760733 ..................
[CV]  c1=0.7375857313970697, c2=0.025792109308760733, score=0.715981 -   1.3s
[CV] c1=0.8202451343178676, c2=0.06930349534774981 ...................
[CV]  c1=0.8202451343178676, c2=0.06930349534774981, score=0.647494 -   1.0s
[CV] c1=0.08446022075353088, c2=0.05366475503866888 ..................
[CV]  c1=0.08446022075353088, c2=0.05366475503866888, score=0.804790 -   0.9s
[CV] c1=0.12319490153227548, c2=0.034098666779189844 .................
[CV]  c1=0.12319490153227548, c2=0.034098666779189844, score=0.891708 -   1.2s
[CV] c1=0.746398422022898, c2=0.05681184439644731 ....................
[CV]  c1=0.746398422022898, c2=0.05681184439644731, score=0.675177 -   1.3s
[CV] c1=0.018334779289947804, c2=0.09432261801055315 .................
[CV]  c1=0.018334779289947804, c2=0.09432261801055315, score=0.674180 -   0.9s
[CV] c1=0.13018352956717136, c2=0.08992449914920633 ..................
[CV]  c1=0.13018352956717136, c2=0.08992449914920633, score=0.766014 -   1.2s
[CV] c1=2.3837162905824685, c2=0.025255542524258323 ..................
[CV]  c1=2.3837162905824685, c2=0.025255542524258323, score=0.525410 -   1.2s
[CV] c1=1.3792303409783142, c2=0.09982333579602835 ...................
[CV]  c1=1.3792303409783142, c2=0.09982333579602835, score=0.566080 -   1.3s
[CV] c1=0.34464935447569855, c2=0.031955086750600145 .................
[CV]  c1=0.34464935447569855, c2=0.031955086750600145, score=0.776003 -   1.2s
[CV] c1=0.6827056467508398, c2=0.002332305122701695 ..................
[CV]  c1=0.6827056467508398, c2=0.002332305122701695, score=0.754828 -   0.9s
[CV] c1=0.5989742003428553, c2=0.03634315411605542 ...................
[CV]  c1=0.5989742003428553, c2=0.03634315411605542, score=0.740843 -   1.0s
[CV] c1=0.7069345635802073, c2=0.0008937466278033778 .................
[CV]  c1=0.7069345635802073, c2=0.0008937466278033778, score=0.773888 -   1.2s
[CV] c1=0.19897636531892396, c2=0.0064747187489696744 ................
[CV]  c1=0.19897636531892396, c2=0.0064747187489696744, score=0.690902 -   1.0s
[CV] c1=0.4329547020158352, c2=0.23729043962305796 ...................
[CV]  c1=0.4329547020158352, c2=0.23729043962305796, score=0.838796 -   1.2s
[CV] c1=0.08446022075353088, c2=0.05366475503866888 ..................
[CV]  c1=0.08446022075353088, c2=0.05366475503866888, score=0.881303 -   1.0s
[CV] c1=0.7881604919326587, c2=0.013416581499429809 ..................
[CV]  c1=0.7881604919326587, c2=0.013416581499429809, score=0.692770 -   0.9s
[CV] c1=1.1218763974298378, c2=0.021802671878529196 ..................
[CV]  c1=1.1218763974298378, c2=0.021802671878529196, score=0.834982 -   1.3s
[CV] c1=0.2969233438132829, c2=0.00928211278542436 ...................
[CV]  c1=0.2969233438132829, c2=0.00928211278542436, score=0.877186 -   1.2s
[CV] c1=0.059013428425391305, c2=0.04788628566112286 .................
[CV]  c1=0.059013428425391305, c2=0.04788628566112286, score=0.678512 -   1.0s
[CV] c1=0.3393744548510146, c2=0.014960310442164351 ..................
[CV]  c1=0.3393744548510146, c2=0.014960310442164351, score=0.727801 -   1.0s
[CV] c1=0.8818017257537359, c2=0.04247335471990201 ...................
[CV]  c1=0.8818017257537359, c2=0.04247335471990201, score=0.851839 -   1.3s
[CV] c1=0.22266055678927907, c2=0.0033453755966970002 ................
[CV]  c1=0.22266055678927907, c2=0.0033453755966970002, score=0.795747 -   1.2s
[CV] c1=0.035344697860429694, c2=0.09581750180353088 .................
[CV]  c1=0.035344697860429694, c2=0.09581750180353088, score=0.775098 -   1.2s
[CV] c1=0.3464531931613335, c2=0.004705315446293243 ..................
[CV]  c1=0.3464531931613335, c2=0.004705315446293243, score=0.811876 -   1.3s
[CV] c1=0.7069345635802073, c2=0.0008937466278033778 .................
[CV]  c1=0.7069345635802073, c2=0.0008937466278033778, score=0.705125 -   1.3s
[CV] c1=0.7375857313970697, c2=0.025792109308760733 ..................
[CV]  c1=0.7375857313970697, c2=0.025792109308760733, score=0.689830 -   1.2s
[CV] c1=0.4329547020158352, c2=0.23729043962305796 ...................
[CV]  c1=0.4329547020158352, c2=0.23729043962305796, score=0.775479 -   1.2s
[CV] c1=0.08446022075353088, c2=0.05366475503866888 ..................
[CV]  c1=0.08446022075353088, c2=0.05366475503866888, score=0.845119 -   0.8s
[CV] c1=1.7998691438517667, c2=0.0016647292530613481 .................
[CV]  c1=1.7998691438517667, c2=0.0016647292530613481, score=0.679782 -   1.2s
[CV] c1=1.1218763974298378, c2=0.021802671878529196 ..................
[CV]  c1=1.1218763974298378, c2=0.021802671878529196, score=0.654389 -   1.2s
[CV] c1=1.2991603829723029, c2=0.008937911530913197 ..................
[CV]  c1=1.2991603829723029, c2=0.008937911530913197, score=0.708675 -   1.2s
[CV] c1=0.5613338791980581, c2=0.013315452460376645 ..................
[CV]  c1=0.5613338791980581, c2=0.013315452460376645, score=0.850149 -   1.2s
[CV] c1=0.19515688291336017, c2=0.03044563234535244 ..................
[CV]  c1=0.19515688291336017, c2=0.03044563234535244, score=0.709593 -   1.0s
[CV] c1=0.8818017257537359, c2=0.04247335471990201 ...................
[CV]  c1=0.8818017257537359, c2=0.04247335471990201, score=0.739643 -   1.2s
[CV] c1=0.22266055678927907, c2=0.0033453755966970002 ................
[CV]  c1=0.22266055678927907, c2=0.0033453755966970002, score=0.846921 -   1.2s
[CV] c1=0.035344697860429694, c2=0.09581750180353088 .................
[CV]  c1=0.035344697860429694, c2=0.09581750180353088, score=0.818295 -   1.3s
[CV] c1=0.2990904461623244, c2=0.028879524109135104 ..................
[CV]  c1=0.2990904461623244, c2=0.028879524109135104, score=0.873047 -   1.2s
[CV] c1=0.7069345635802073, c2=0.0008937466278033778 .................
[CV]  c1=0.7069345635802073, c2=0.0008937466278033778, score=0.847082 -   1.2s
[CV] c1=0.7375857313970697, c2=0.025792109308760733 ..................
[CV]  c1=0.7375857313970697, c2=0.025792109308760733, score=0.688489 -   1.0s
[CV] c1=0.3838644531078351, c2=0.06000843223934941 ...................
[CV]  c1=0.3838644531078351, c2=0.06000843223934941, score=0.859272 -   1.2s
[CV] c1=0.5034615846576403, c2=0.029447569155519833 ..................
[CV]  c1=0.5034615846576403, c2=0.029447569155519833, score=0.862603 -   1.1s
[CV] c1=0.19146872199574044, c2=0.0037545049762589345 ................
[CV]  c1=0.19146872199574044, c2=0.0037545049762589345, score=0.876668 -   1.3s
[CV] c1=0.045127868775043635, c2=0.03220442960176866 .................
[CV]  c1=0.045127868775043635, c2=0.03220442960176866, score=0.677974 -   1.0s
[CV] c1=0.3433677454291472, c2=0.047458614073224575 ..................
[CV]  c1=0.3433677454291472, c2=0.047458614073224575, score=0.765779 -   1.3s
[CV] c1=0.5613338791980581, c2=0.013315452460376645 ..................
[CV]  c1=0.5613338791980581, c2=0.013315452460376645, score=0.744189 -   1.2s
[CV] c1=0.19515688291336017, c2=0.03044563234535244 ..................
[CV]  c1=0.19515688291336017, c2=0.03044563234535244, score=0.774757 -   1.3s
[CV] c1=1.2196585526097652, c2=0.08438866630899272 ...................
[CV]  c1=1.2196585526097652, c2=0.08438866630899272, score=0.811304 -   1.2s
[CV] c1=0.16991779848394548, c2=0.006506628241042936 .................
[CV]  c1=0.16991779848394548, c2=0.006506628241042936, score=0.887844 -   1.2s
[CV] c1=0.19079976269156765, c2=0.06661657592583468 ..................
[CV]  c1=0.19079976269156765, c2=0.06661657592583468, score=0.740781 -   1.0s
[CV] c1=0.27865015337858706, c2=0.035564795684483015 .................
[CV]  c1=0.27865015337858706, c2=0.035564795684483015, score=0.868664 -   1.4s
[CV] c1=0.29761242907171015, c2=0.009795016609212837 .................
[CV]  c1=0.29761242907171015, c2=0.009795016609212837, score=0.843426 -   1.2s
[CV] c1=0.19897636531892396, c2=0.0064747187489696744 ................
[CV]  c1=0.19897636531892396, c2=0.0064747187489696744, score=0.819904 -   1.3s
[CV] c1=0.21813266247088917, c2=0.040838386373188054 .................
[CV]  c1=0.21813266247088917, c2=0.040838386373188054, score=0.662468 -   1.0s
[CV] c1=0.08446022075353088, c2=0.05366475503866888 ..................
[CV]  c1=0.08446022075353088, c2=0.05366475503866888, score=0.771835 -   0.8s
[CV] c1=0.19146872199574044, c2=0.0037545049762589345 ................
[CV]  c1=0.19146872199574044, c2=0.0037545049762589345, score=0.722736 -   1.1s
[CV] c1=0.8773587730286915, c2=0.040678617610161755 ..................
[CV]  c1=0.8773587730286915, c2=0.040678617610161755, score=0.667304 -   1.2s
[CV] c1=1.2991603829723029, c2=0.008937911530913197 ..................
[CV]  c1=1.2991603829723029, c2=0.008937911530913197, score=0.825900 -   1.2s
[CV] c1=0.31990089091442564, c2=0.0264952415754038 ...................
[CV]  c1=0.31990089091442564, c2=0.0264952415754038, score=0.792920 -   1.3s
[CV] c1=0.1839189062645173, c2=0.11989162854317399 ...................
[CV]  c1=0.1839189062645173, c2=0.11989162854317399, score=0.872965 -   1.3s
[CV] c1=1.2196585526097652, c2=0.08438866630899272 ...................
[CV]  c1=1.2196585526097652, c2=0.08438866630899272, score=0.686364 -   1.2s
[CV] c1=0.16991779848394548, c2=0.006506628241042936 .................
[CV]  c1=0.16991779848394548, c2=0.006506628241042936, score=0.701132 -   0.9s
[CV] c1=0.07270219243895214, c2=0.07488953848312839 ..................
[CV]  c1=0.07270219243895214, c2=0.07488953848312839, score=0.844198 -   1.2s
[CV] c1=0.2990904461623244, c2=0.028879524109135104 ..................
[CV]  c1=0.2990904461623244, c2=0.028879524109135104, score=0.663924 -   1.0s
[CV] c1=0.3294742282366649, c2=0.013267258056859835 ..................
[CV]  c1=0.3294742282366649, c2=0.013267258056859835, score=0.884899 -   1.3s
[CV] c1=0.3334345699868368, c2=0.0009315520521877709 .................
[CV]  c1=0.3334345699868368, c2=0.0009315520521877709, score=0.841822 -   1.2s
[CV] c1=0.3838644531078351, c2=0.06000843223934941 ...................
[CV]  c1=0.3838644531078351, c2=0.06000843223934941, score=0.798680 -   1.2s
[CV] c1=0.5034615846576403, c2=0.029447569155519833 ..................
[CV]  c1=0.5034615846576403, c2=0.029447569155519833, score=0.812992 -   1.0s
[CV] c1=0.45538009721607736, c2=0.040622882470771976 .................
[CV]  c1=0.45538009721607736, c2=0.040622882470771976, score=0.783549 -   1.2s
[CV] c1=0.746398422022898, c2=0.05681184439644731 ....................
[CV]  c1=0.746398422022898, c2=0.05681184439644731, score=0.690669 -   1.0s
[CV] c1=0.2969233438132829, c2=0.00928211278542436 ...................
[CV]  c1=0.2969233438132829, c2=0.00928211278542436, score=0.670632 -   1.0s
[CV] c1=0.31990089091442564, c2=0.0264952415754038 ...................
[CV]  c1=0.31990089091442564, c2=0.0264952415754038, score=0.869184 -   1.2s
[CV] c1=0.3393744548510146, c2=0.014960310442164351 ..................
[CV]  c1=0.3393744548510146, c2=0.014960310442164351, score=0.784498 -   1.2s
[CV] c1=0.15801563824212186, c2=0.003316695549744876 .................
[CV]  c1=0.15801563824212186, c2=0.003316695549744876, score=0.858178 -   1.2s
[CV] c1=1.4598667935987795, c2=0.135625087558158 .....................
[CV]  c1=1.4598667935987795, c2=0.135625087558158, score=0.600582 -   1.3s
[CV] c1=1.0689426022636557, c2=0.061850943754648835 ..................
[CV]  c1=1.0689426022636557, c2=0.061850943754648835, score=0.825900 -   1.3s
[CV] c1=0.27865015337858706, c2=0.035564795684483015 .................
[CV]  c1=0.27865015337858706, c2=0.035564795684483015, score=0.778089 -   1.3s
[CV] c1=0.0593380549067806, c2=0.2265239508618486 ....................
[CV]  c1=0.0593380549067806, c2=0.2265239508618486, score=0.664753 -   1.0s
[CV] c1=0.19897636531892396, c2=0.0064747187489696744 ................
[CV]  c1=0.19897636531892396, c2=0.0064747187489696744, score=0.884352 -   1.2s
[CV] c1=0.4329547020158352, c2=0.23729043962305796 ...................
[CV]  c1=0.4329547020158352, c2=0.23729043962305796, score=0.751094 -   1.2s
[CV] c1=0.7737660869037448, c2=0.05307748501109605 ...................
[CV]  c1=0.7737660869037448, c2=0.05307748501109605, score=0.844599 -   0.9s
[CV] c1=0.543804549494017, c2=0.11312020858350125 ....................
[CV]  c1=0.543804549494017, c2=0.11312020858350125, score=0.840027 -   1.2s
[CV] c1=1.6953767328938636, c2=0.04931615120432875 ...................
[CV]  c1=1.6953767328938636, c2=0.04931615120432875, score=0.681411 -   1.1s
[CV] c1=0.3705018814880662, c2=0.06225422479673916 ...................
[CV]  c1=0.3705018814880662, c2=0.06225422479673916, score=0.697709 -   1.1s
[CV] c1=0.950400105204343, c2=0.0348446059315473 .....................
[CV]  c1=0.950400105204343, c2=0.0348446059315473, score=0.647195 -   1.4s
[CV] c1=1.1559916194073026, c2=0.049756982695289984 ..................
[CV]  c1=1.1559916194073026, c2=0.049756982695289984, score=0.710520 -   1.3s
[CV] c1=0.15801563824212186, c2=0.003316695549744876 .................
[CV]  c1=0.15801563824212186, c2=0.003316695549744876, score=0.724497 -   0.9s
[CV] c1=0.22266055678927907, c2=0.0033453755966970002 ................
[CV]  c1=0.22266055678927907, c2=0.0033453755966970002, score=0.874695 -   1.2s
[CV] c1=0.035344697860429694, c2=0.09581750180353088 .................
[CV]  c1=0.035344697860429694, c2=0.09581750180353088, score=0.887985 -   1.3s
[CV] c1=0.3464531931613335, c2=0.004705315446293243 ..................
[CV]  c1=0.3464531931613335, c2=0.004705315446293243, score=0.688843 -   1.1s
[CV] c1=1.2726252511850142, c2=0.13125186488190418 ...................
[CV]  c1=1.2726252511850142, c2=0.13125186488190418, score=0.569587 -   1.3s
[CV] c1=0.3334345699868368, c2=0.0009315520521877709 .................
[CV]  c1=0.3334345699868368, c2=0.0009315520521877709, score=0.809537 -   1.4s
[CV] c1=0.4329547020158352, c2=0.23729043962305796 ...................
[CV]  c1=0.4329547020158352, c2=0.23729043962305796, score=0.671411 -   1.3s
[CV] c1=0.7737660869037448, c2=0.05307748501109605 ...................
[CV]  c1=0.7737660869037448, c2=0.05307748501109605, score=0.696823 -   0.8s
Training done in: 17.170800s
     Saving training model...
        Saving training model done in: 0.013365s
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Prediction done in: 0.027893s