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

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Run16_v11.txt 71.6 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run16
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: TrueS4: True
Run variant: 11
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003721s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0        1
0        lemma        :
1       postag        :
2     -1:lemma       in
3    -1:postag       IN
4     +1:lemma       m9
5    +1:postag       NN
6       hUpper    False
7       hLower    False
8       hGreek    False
9         symb    False
10   lemma[:1]        :
11  postag[:1]        :
12        word        :
13     isUpper    False
14     isLower    False
15     isGreek    False
16    isNumber    False
17     -1:word       in
18     +1:word       M9
19    -2:lemma  culture
20   -2:postag      VBN
21    +2:lemma  minimal
22   +2:postag       JJ
23      -1:ner        _
24      +1:ner      MED
25      -2:ner        _
26      +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       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10   lemma[:1]           d
11  postag[:1]           N
12   lemma[:2]          de
13  postag[:2]          NN
14        word  delta-arcA
15     isUpper       False
16     isLower       False
17     isGreek       False
18    isNumber       False
19     -1:word           _
20     +1:word           _
21    -2:lemma     affyexp
22   -2:postag          JJ
23    +2:lemma     glucose
24   +2:postag          NN
25      -1:ner           _
26      +1:ner           _
27      -2:ner           _
28      +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.3111527896857957, c2=0.015123913884909832 ..................
[CV]  c1=0.3111527896857957, c2=0.015123913884909832, score=0.863338 -   1.9s
[CV] c1=0.3703428164072481, c2=2.476414619557754e-05 .................
[CV]  c1=0.3703428164072481, c2=2.476414619557754e-05, score=0.854183 -   1.8s
[CV] c1=0.048522675900079866, c2=0.0015042971004155439 ...............
[CV]  c1=0.048522675900079866, c2=0.0015042971004155439, score=0.810031 -   1.9s
[CV] c1=1.133952436459397, c2=0.03334945613016218 ....................
[CV]  c1=1.133952436459397, c2=0.03334945613016218, score=0.722323 -   1.9s
[CV] c1=0.09810253829623447, c2=0.05850192987735186 ..................
[CV]  c1=0.09810253829623447, c2=0.05850192987735186, score=0.757652 -   1.5s
[CV] c1=0.23748119388689118, c2=0.022700313815048438 .................
[CV]  c1=0.23748119388689118, c2=0.022700313815048438, score=0.848862 -   1.7s
[CV] c1=0.12171852999327755, c2=0.031545708255067015 .................
[CV]  c1=0.12171852999327755, c2=0.031545708255067015, score=0.892656 -   1.8s
[CV] c1=0.234983447457937, c2=0.03563054491977278 ....................
[CV]  c1=0.234983447457937, c2=0.03563054491977278, score=0.784429 -   1.8s
[CV] c1=0.006392409600344624, c2=0.007195426684364243 ................
[CV]  c1=0.006392409600344624, c2=0.007195426684364243, score=0.861331 -   1.8s
[CV] c1=0.5509744819230623, c2=0.011954523663669928 ..................
[CV]  c1=0.5509744819230623, c2=0.011954523663669928, score=0.833051 -   1.6s
[CV] c1=0.9520848107221452, c2=0.04494470110872014 ...................
[CV]  c1=0.9520848107221452, c2=0.04494470110872014, score=0.679030 -   1.4s
[CV] c1=0.2369988483489891, c2=0.033197497244113604 ..................
[CV]  c1=0.2369988483489891, c2=0.033197497244113604, score=0.878036 -   2.0s
[CV] c1=0.2769585530132901, c2=0.06777559378737777 ...................
[CV]  c1=0.2769585530132901, c2=0.06777559378737777, score=0.878636 -   1.9s
[CV] c1=1.114223470350663, c2=0.005616677267409139 ...................
[CV]  c1=1.114223470350663, c2=0.005616677267409139, score=0.716435 -   2.0s
[CV] c1=0.06405875547669684, c2=0.039534975344827555 .................
[CV]  c1=0.06405875547669684, c2=0.039534975344827555, score=0.850153 -   1.9s
[CV] c1=1.133952436459397, c2=0.03334945613016218 ....................
[CV]  c1=1.133952436459397, c2=0.03334945613016218, score=0.690351 -   1.5s
[CV] c1=0.04888523862412697, c2=0.01725525817763304 ..................
[CV]  c1=0.04888523862412697, c2=0.01725525817763304, score=0.783513 -   1.5s
[CV] c1=0.580810622612536, c2=0.02266615808767624 ....................
[CV]  c1=0.580810622612536, c2=0.02266615808767624, score=0.800037 -   1.8s
[CV] c1=0.8155010233984443, c2=0.013467005673318228 ..................
[CV]  c1=0.8155010233984443, c2=0.013467005673318228, score=0.814004 -   2.0s
[CV] c1=0.39760005081536615, c2=0.05056136522594278 ..................
[CV]  c1=0.39760005081536615, c2=0.05056136522594278, score=0.845968 -   1.9s
[CV] c1=0.4423626730817616, c2=0.007884196199842904 ..................
[CV]  c1=0.4423626730817616, c2=0.007884196199842904, score=0.859573 -   1.9s
[CV] c1=0.17031017540411958, c2=0.0011152827913327645 ................
[CV]  c1=0.17031017540411958, c2=0.0011152827913327645, score=0.844242 -   2.1s
[CV] c1=0.9520848107221452, c2=0.04494470110872014 ...................
[CV]  c1=0.9520848107221452, c2=0.04494470110872014, score=0.740683 -   1.9s
[CV] c1=0.6415272873509169, c2=0.11694053382228098 ...................
[CV]  c1=0.6415272873509169, c2=0.11694053382228098, score=0.725664 -   1.5s
[CV] c1=0.2411152745968213, c2=0.06677957359316096 ...................
[CV]  c1=0.2411152745968213, c2=0.06677957359316096, score=0.756088 -   1.5s
[CV] c1=1.114223470350663, c2=0.005616677267409139 ...................
[CV]  c1=1.114223470350663, c2=0.005616677267409139, score=0.879640 -   1.8s
[CV] c1=0.28045189177412694, c2=0.0648442683192124 ...................
[CV]  c1=0.28045189177412694, c2=0.0648442683192124, score=0.862597 -   1.8s
[CV] c1=1.224475638565861, c2=0.006290373869744606 ...................
[CV]  c1=1.224475638565861, c2=0.006290373869744606, score=0.812232 -   1.8s
[CV] c1=0.8347798457821637, c2=0.041087817998413344 ..................
[CV]  c1=0.8347798457821637, c2=0.041087817998413344, score=0.841187 -   1.9s
[CV] c1=0.8055248227730352, c2=0.07529034167095419 ...................
[CV]  c1=0.8055248227730352, c2=0.07529034167095419, score=0.894871 -   1.8s
[CV] c1=0.5938502555082286, c2=0.01747010393579603 ...................
[CV]  c1=0.5938502555082286, c2=0.01747010393579603, score=0.901937 -   2.0s
[CV] c1=0.18548602525928592, c2=0.06525754576411784 ..................
[CV]  c1=0.18548602525928592, c2=0.06525754576411784, score=0.852183 -   1.8s
[CV] c1=0.4423626730817616, c2=0.007884196199842904 ..................
[CV]  c1=0.4423626730817616, c2=0.007884196199842904, score=0.764621 -   1.8s
[CV] c1=0.17031017540411958, c2=0.0011152827913327645 ................
[CV]  c1=0.17031017540411958, c2=0.0011152827913327645, score=0.870032 -   1.7s
[CV] c1=0.6300717016215454, c2=0.03710948486792456 ...................
[CV]  c1=0.6300717016215454, c2=0.03710948486792456, score=0.728268 -   2.1s
[CV] c1=0.4275808463559952, c2=0.008859550720449865 ..................
[CV]  c1=0.4275808463559952, c2=0.008859550720449865, score=0.860560 -   1.7s
[CV] c1=0.7297620083161377, c2=0.029988381338429338 ..................
[CV]  c1=0.7297620083161377, c2=0.029988381338429338, score=0.718076 -   1.6s
[CV] c1=0.3996124277185364, c2=0.0991788635184932 ....................
[CV]  c1=0.3996124277185364, c2=0.0991788635184932, score=0.864560 -   1.9s
[CV] c1=0.048522675900079866, c2=0.0015042971004155439 ...............
[CV]  c1=0.048522675900079866, c2=0.0015042971004155439, score=0.777984 -   1.5s
[CV] c1=0.6430556680617049, c2=0.03309223890432422 ...................
[CV]  c1=0.6430556680617049, c2=0.03309223890432422, score=0.900967 -   1.9s
[CV] c1=0.04888523862412697, c2=0.01725525817763304 ..................
[CV]  c1=0.04888523862412697, c2=0.01725525817763304, score=0.775677 -   1.9s
[CV] c1=0.019923631337543463, c2=0.06508931877089857 .................
[CV]  c1=0.019923631337543463, c2=0.06508931877089857, score=0.762754 -   1.5s
[CV] c1=0.5938502555082286, c2=0.01747010393579603 ...................
[CV]  c1=0.5938502555082286, c2=0.01747010393579603, score=0.724401 -   1.9s
[CV] c1=0.18548602525928592, c2=0.06525754576411784 ..................
[CV]  c1=0.18548602525928592, c2=0.06525754576411784, score=0.811445 -   1.9s
[CV] c1=0.006392409600344624, c2=0.007195426684364243 ................
[CV]  c1=0.006392409600344624, c2=0.007195426684364243, score=0.804983 -   1.9s
[CV] c1=1.461159705834883, c2=0.049985258157862596 ...................
[CV]  c1=1.461159705834883, c2=0.049985258157862596, score=0.851636 -   1.9s
[CV] c1=0.9128629619535171, c2=0.0035781025715948683 .................
[CV]  c1=0.9128629619535171, c2=0.0035781025715948683, score=0.681966 -   1.5s
[CV] c1=0.8959434842130267, c2=0.07991492808431731 ...................
[CV]  c1=0.8959434842130267, c2=0.07991492808431731, score=0.780288 -   1.9s
[CV] c1=0.2411152745968213, c2=0.06677957359316096 ...................
[CV]  c1=0.2411152745968213, c2=0.06677957359316096, score=0.882221 -   2.0s
[CV] c1=0.3703428164072481, c2=2.476414619557754e-05 .................
[CV]  c1=0.3703428164072481, c2=2.476414619557754e-05, score=0.873455 -   1.9s
[CV] c1=0.24385425063203856, c2=0.043095523143090606 .................
[CV]  c1=0.24385425063203856, c2=0.043095523143090606, score=0.867678 -   1.7s
[CV] c1=0.6897443260718895, c2=0.01664250534167362 ...................
[CV]  c1=0.6897443260718895, c2=0.01664250534167362, score=0.889402 -   1.9s
[CV] c1=0.09810253829623447, c2=0.05850192987735186 ..................
[CV]  c1=0.09810253829623447, c2=0.05850192987735186, score=0.797318 -   1.7s
[CV] c1=0.147083671796318, c2=0.003093341519609905 ...................
[CV]  c1=0.147083671796318, c2=0.003093341519609905, score=0.906847 -   1.9s
[CV] c1=0.09706035960374365, c2=0.03606941871824511 ..................
[CV]  c1=0.09706035960374365, c2=0.03606941871824511, score=0.766983 -   1.4s
[CV] c1=0.234983447457937, c2=0.03563054491977278 ....................
[CV]  c1=0.234983447457937, c2=0.03563054491977278, score=0.908131 -   1.8s
[CV] c1=0.006392409600344624, c2=0.007195426684364243 ................
[CV]  c1=0.006392409600344624, c2=0.007195426684364243, score=0.869214 -   1.8s
[CV] c1=0.5509744819230623, c2=0.011954523663669928 ..................
[CV]  c1=0.5509744819230623, c2=0.011954523663669928, score=0.739668 -   1.5s
[CV] c1=1.080091020087618, c2=0.023587711267843297 ...................
[CV]  c1=1.080091020087618, c2=0.023587711267843297, score=0.738556 -   2.0s
[CV] c1=0.8959434842130267, c2=0.07991492808431731 ...................
[CV]  c1=0.8959434842130267, c2=0.07991492808431731, score=0.794334 -   2.0s
[CV] c1=1.206318766337803, c2=0.08194112423720018 ....................
[CV]  c1=1.206318766337803, c2=0.08194112423720018, score=0.628153 -   1.6s
[CV] c1=0.23822515334343866, c2=0.0073089588802022435 ................
[CV]  c1=0.23822515334343866, c2=0.0073089588802022435, score=0.913868 -   2.3s
[CV] c1=0.28045189177412694, c2=0.0648442683192124 ...................
[CV]  c1=0.28045189177412694, c2=0.0648442683192124, score=0.763577 -   1.4s
[CV] c1=0.1007201423844842, c2=0.09346513957721554 ...................
[CV]  c1=0.1007201423844842, c2=0.09346513957721554, score=0.849132 -   1.8s
[CV] c1=0.2843991033939189, c2=0.007724981750903637 ..................
[CV]  c1=0.2843991033939189, c2=0.007724981750903637, score=0.863338 -   1.9s
[CV] c1=3.091054183641738, c2=0.048979223941949424 ...................
[CV]  c1=3.091054183641738, c2=0.048979223941949424, score=0.664152 -   2.0s
[CV] c1=0.3859585178219046, c2=0.00883156670216685 ...................
[CV]  c1=0.3859585178219046, c2=0.00883156670216685, score=0.908230 -   2.0s
[CV] c1=0.18724939119033224, c2=0.07028675938046036 ..................
[CV]  c1=0.18724939119033224, c2=0.07028675938046036, score=0.852183 -   1.8s
[CV] c1=1.6047816802206634, c2=0.004496699008694158 ..................
[CV]  c1=1.6047816802206634, c2=0.004496699008694158, score=0.726042 -   1.8s
[CV] c1=1.6619159423907057, c2=0.04763381864492852 ...................
[CV]  c1=1.6619159423907057, c2=0.04763381864492852, score=0.616944 -   2.0s
[CV] c1=1.080091020087618, c2=0.023587711267843297 ...................
[CV]  c1=1.080091020087618, c2=0.023587711267843297, score=0.643171 -   1.9s
[CV] c1=0.8959434842130267, c2=0.07991492808431731 ...................
[CV]  c1=0.8959434842130267, c2=0.07991492808431731, score=0.867755 -   1.9s
[CV] c1=0.7297620083161377, c2=0.029988381338429338 ..................
[CV]  c1=0.7297620083161377, c2=0.029988381338429338, score=0.880590 -   1.9s
[CV] c1=0.0958213150380074, c2=0.14986959138758757 ...................
[CV]  c1=0.0958213150380074, c2=0.14986959138758757, score=0.760672 -   1.4s
[CV] c1=0.06405875547669684, c2=0.039534975344827555 .................
[CV]  c1=0.06405875547669684, c2=0.039534975344827555, score=0.761715 -   1.5s
[CV] c1=1.224475638565861, c2=0.006290373869744606 ...................
[CV]  c1=1.224475638565861, c2=0.006290373869744606, score=0.736143 -   2.0s
[CV] c1=0.1960554344293349, c2=0.033146816316250806 ..................
[CV]  c1=0.1960554344293349, c2=0.033146816316250806, score=0.791084 -   1.9s
[CV] c1=0.8055248227730352, c2=0.07529034167095419 ...................
[CV]  c1=0.8055248227730352, c2=0.07529034167095419, score=0.854778 -   2.0s
[CV] c1=0.12171852999327755, c2=0.031545708255067015 .................
[CV]  c1=0.12171852999327755, c2=0.031545708255067015, score=0.851910 -   1.9s
[CV] c1=1.1661591519903847, c2=0.0010700284892040867 .................
[CV]  c1=1.1661591519903847, c2=0.0010700284892040867, score=0.662940 -   1.5s
[CV] c1=0.4423626730817616, c2=0.007884196199842904 ..................
[CV]  c1=0.4423626730817616, c2=0.007884196199842904, score=0.918143 -   1.9s
[CV] c1=0.5509744819230623, c2=0.011954523663669928 ..................
[CV]  c1=0.5509744819230623, c2=0.011954523663669928, score=0.749517 -   2.0s
[CV] c1=0.9128629619535171, c2=0.0035781025715948683 .................
[CV]  c1=0.9128629619535171, c2=0.0035781025715948683, score=0.862421 -   1.8s
[CV] c1=0.6415272873509169, c2=0.11694053382228098 ...................
[CV]  c1=0.6415272873509169, c2=0.11694053382228098, score=0.876357 -   1.7s
[CV] c1=0.2411152745968213, c2=0.06677957359316096 ...................
[CV]  c1=0.2411152745968213, c2=0.06677957359316096, score=0.864837 -   1.9s
[CV] c1=0.3996124277185364, c2=0.0991788635184932 ....................
[CV]  c1=0.3996124277185364, c2=0.0991788635184932, score=0.842962 -   1.8s
[CV] c1=0.06405875547669684, c2=0.039534975344827555 .................
[CV]  c1=0.06405875547669684, c2=0.039534975344827555, score=0.846892 -   1.7s
[CV] c1=0.6430556680617049, c2=0.03309223890432422 ...................
[CV]  c1=0.6430556680617049, c2=0.03309223890432422, score=0.724074 -   1.9s
[CV] c1=0.04888523862412697, c2=0.01725525817763304 ..................
[CV]  c1=0.04888523862412697, c2=0.01725525817763304, score=0.842002 -   1.9s
[CV] c1=0.019923631337543463, c2=0.06508931877089857 .................
[CV]  c1=0.019923631337543463, c2=0.06508931877089857, score=0.818706 -   1.9s
[CV] c1=1.3378363391195855, c2=0.012376441676315299 ..................
[CV]  c1=1.3378363391195855, c2=0.012376441676315299, score=0.680715 -   2.0s
[CV] c1=0.15675924812338962, c2=0.025179348687640116 .................
[CV]  c1=0.15675924812338962, c2=0.025179348687640116, score=0.843062 -   1.9s
[CV] c1=0.9683549294299985, c2=0.0447377890546434 ....................
[CV]  c1=0.9683549294299985, c2=0.0447377890546434, score=0.718106 -   1.5s
[CV] c1=1.461159705834883, c2=0.049985258157862596 ...................
[CV]  c1=1.461159705834883, c2=0.049985258157862596, score=0.747229 -   1.8s
[CV] c1=0.9128629619535171, c2=0.0035781025715948683 .................
[CV]  c1=0.9128629619535171, c2=0.0035781025715948683, score=0.801996 -   1.9s
[CV] c1=0.6415272873509169, c2=0.11694053382228098 ...................
[CV]  c1=0.6415272873509169, c2=0.11694053382228098, score=0.789175 -   1.7s
[CV] c1=0.3111527896857957, c2=0.015123913884909832 ..................
[CV]  c1=0.3111527896857957, c2=0.015123913884909832, score=0.773147 -   1.9s
[CV] c1=0.3703428164072481, c2=2.476414619557754e-05 .................
[CV]  c1=0.3703428164072481, c2=2.476414619557754e-05, score=0.782436 -   1.9s
[CV] c1=0.048522675900079866, c2=0.0015042971004155439 ...............
[CV]  c1=0.048522675900079866, c2=0.0015042971004155439, score=0.876282 -   1.7s
[CV] c1=1.133952436459397, c2=0.03334945613016218 ....................
[CV]  c1=1.133952436459397, c2=0.03334945613016218, score=0.633052 -   1.9s
[CV] c1=1.4816689214858771, c2=0.11573053972223298 ...................
[CV]  c1=1.4816689214858771, c2=0.11573053972223298, score=0.647070 -   2.1s
[CV] c1=0.147083671796318, c2=0.003093341519609905 ...................
[CV]  c1=0.147083671796318, c2=0.003093341519609905, score=0.920203 -   1.9s
[CV] c1=0.16641473920112562, c2=0.05395703065114371 ..................
[CV]  c1=0.16641473920112562, c2=0.05395703065114371, score=0.731338 -   1.5s
[CV] c1=1.1661591519903847, c2=0.0010700284892040867 .................
[CV]  c1=1.1661591519903847, c2=0.0010700284892040867, score=0.729400 -   1.9s
[CV] c1=1.702841416446845, c2=0.0003697215040674173 ..................
[CV]  c1=1.702841416446845, c2=0.0003697215040674173, score=0.730971 -   1.8s
[CV] c1=0.20975879763146593, c2=0.01124662674232741 ..................
[CV]  c1=0.20975879763146593, c2=0.01124662674232741, score=0.777226 -   1.5s
[CV] c1=0.9520848107221452, c2=0.04494470110872014 ...................
[CV]  c1=0.9520848107221452, c2=0.04494470110872014, score=0.786236 -   1.7s
[CV] c1=0.4275808463559952, c2=0.008859550720449865 ..................
[CV]  c1=0.4275808463559952, c2=0.008859550720449865, score=0.904256 -   1.9s
[CV] c1=0.7297620083161377, c2=0.029988381338429338 ..................
[CV]  c1=0.7297620083161377, c2=0.029988381338429338, score=0.842914 -   1.9s
[CV] c1=0.10913994265206461, c2=0.06161852334192133 ..................
[CV]  c1=0.10913994265206461, c2=0.06161852334192133, score=0.885341 -   2.0s
[CV] c1=0.1930217296350447, c2=0.0033833331768784885 .................
[CV]  c1=0.1930217296350447, c2=0.0033833331768784885, score=0.782436 -   1.9s
[CV] c1=0.006735045673433993, c2=0.004873536071917356 ................
[CV]  c1=0.006735045673433993, c2=0.004873536071917356, score=0.868934 -   1.8s
[CV] c1=1.428734920255357, c2=0.006090588660775827 ...................
[CV]  c1=1.428734920255357, c2=0.006090588660775827, score=0.752723 -   1.9s
[CV] c1=0.38618965192484905, c2=0.08234072251016658 ..................
[CV]  c1=0.38618965192484905, c2=0.08234072251016658, score=0.868503 -   1.9s
[CV] c1=0.11173395979473531, c2=0.061456740042195514 .................
[CV]  c1=0.11173395979473531, c2=0.061456740042195514, score=0.760482 -   1.5s
[CV] c1=0.15675924812338962, c2=0.025179348687640116 .................
[CV]  c1=0.15675924812338962, c2=0.025179348687640116, score=0.804934 -   1.8s
[CV] c1=1.702841416446845, c2=0.0003697215040674173 ..................
[CV]  c1=1.702841416446845, c2=0.0003697215040674173, score=0.616944 -   2.0s
[CV] c1=0.09024621104995595, c2=0.13605751388307927 ..................
[CV]  c1=0.09024621104995595, c2=0.13605751388307927, score=0.878193 -   1.9s
[CV] c1=0.3915903607090633, c2=0.13062366143367374 ...................
[CV]  c1=0.3915903607090633, c2=0.13062366143367374, score=0.742029 -   1.9s
[CV] c1=0.14882584204571464, c2=0.22489455577473394 ..................
[CV]  c1=0.14882584204571464, c2=0.22489455577473394, score=0.775158 -   1.3s
[CV] c1=0.06400498479163545, c2=0.07395543036308774 ..................
[CV]  c1=0.06400498479163545, c2=0.07395543036308774, score=0.799708 -   1.7s
[CV] c1=0.7857172009822545, c2=0.10426377287260913 ...................
[CV]  c1=0.7857172009822545, c2=0.10426377287260913, score=0.788013 -   1.9s
[CV] c1=0.28045189177412694, c2=0.0648442683192124 ...................
[CV]  c1=0.28045189177412694, c2=0.0648442683192124, score=0.789991 -   1.8s
[CV] c1=2.0312089323051863, c2=0.022028454416833862 ..................
[CV]  c1=2.0312089323051863, c2=0.022028454416833862, score=0.608464 -   1.9s
[CV] c1=0.8347798457821637, c2=0.041087817998413344 ..................
[CV]  c1=0.8347798457821637, c2=0.041087817998413344, score=0.812217 -   2.0s
[CV] c1=0.8055248227730352, c2=0.07529034167095419 ...................
[CV]  c1=0.8055248227730352, c2=0.07529034167095419, score=0.693713 -   2.1s
[CV] c1=0.12171852999327755, c2=0.031545708255067015 .................
[CV]  c1=0.12171852999327755, c2=0.031545708255067015, score=0.843525 -   1.9s
[CV] c1=1.1661591519903847, c2=0.0010700284892040867 .................
[CV]  c1=1.1661591519903847, c2=0.0010700284892040867, score=0.785420 -   1.8s
[CV] c1=0.43695104428081, c2=8.331857196397125e-05 ...................
[CV]  c1=0.43695104428081, c2=8.331857196397125e-05, score=0.854183 -   1.8s
[CV] c1=1.461159705834883, c2=0.049985258157862596 ...................
[CV]  c1=1.461159705834883, c2=0.049985258157862596, score=0.619809 -   1.8s
[CV] c1=0.9128629619535171, c2=0.0035781025715948683 .................
[CV]  c1=0.9128629619535171, c2=0.0035781025715948683, score=0.780975 -   1.9s
[CV] c1=0.04324687600043273, c2=0.024119511640396035 .................
[CV]  c1=0.04324687600043273, c2=0.024119511640396035, score=0.893106 -   1.7s
[CV] c1=0.06400498479163545, c2=0.07395543036308774 ..................
[CV]  c1=0.06400498479163545, c2=0.07395543036308774, score=0.878068 -   1.7s
[CV] c1=0.7857172009822545, c2=0.10426377287260913 ...................
[CV]  c1=0.7857172009822545, c2=0.10426377287260913, score=0.697519 -   2.0s
[CV] c1=0.28045189177412694, c2=0.0648442683192124 ...................
[CV]  c1=0.28045189177412694, c2=0.0648442683192124, score=0.871859 -   1.9s
[CV] c1=0.18955935085671274, c2=0.013804243368973096 .................
[CV]  c1=0.18955935085671274, c2=0.013804243368973096, score=0.750044 -   1.6s
[CV] c1=0.8436107078244206, c2=0.008384538223177437 ..................
[CV]  c1=0.8436107078244206, c2=0.008384538223177437, score=0.775032 -   2.1s
[CV] c1=0.580810622612536, c2=0.02266615808767624 ....................
[CV]  c1=0.580810622612536, c2=0.02266615808767624, score=0.854778 -   2.0s
[CV] c1=0.5938502555082286, c2=0.01747010393579603 ...................
[CV]  c1=0.5938502555082286, c2=0.01747010393579603, score=0.806703 -   1.8s
[CV] c1=0.18548602525928592, c2=0.06525754576411784 ..................
[CV]  c1=0.18548602525928592, c2=0.06525754576411784, score=0.791300 -   2.1s
[CV] c1=0.43695104428081, c2=8.331857196397125e-05 ...................
[CV]  c1=0.43695104428081, c2=8.331857196397125e-05, score=0.905736 -   2.1s
[CV] c1=0.20975879763146593, c2=0.01124662674232741 ..................
[CV]  c1=0.20975879763146593, c2=0.01124662674232741, score=0.790487 -   1.9s
[CV] c1=0.7667816725254017, c2=0.037951521327163215 ..................
[CV]  c1=0.7667816725254017, c2=0.037951521327163215, score=0.712469 -   2.0s
[CV] c1=0.14882584204571464, c2=0.22489455577473394 ..................
[CV]  c1=0.14882584204571464, c2=0.22489455577473394, score=0.899014 -   1.5s
[CV] c1=1.206318766337803, c2=0.08194112423720018 ....................
[CV]  c1=1.206318766337803, c2=0.08194112423720018, score=0.863523 -   1.5s
[CV] c1=0.23822515334343866, c2=0.0073089588802022435 ................
[CV]  c1=0.23822515334343866, c2=0.0073089588802022435, score=0.749268 -   1.5s
[CV] c1=0.10913994265206461, c2=0.06161852334192133 ..................
[CV]  c1=0.10913994265206461, c2=0.06161852334192133, score=0.799708 -   2.0s
[CV] c1=0.1930217296350447, c2=0.0033833331768784885 .................
[CV]  c1=0.1930217296350447, c2=0.0033833331768784885, score=0.899425 -   2.0s
[CV] c1=0.2843991033939189, c2=0.007724981750903637 ..................
[CV]  c1=0.2843991033939189, c2=0.007724981750903637, score=0.914145 -   2.0s
[CV] c1=0.5417328795768078, c2=0.30724039255051294 ...................
[CV]  c1=0.5417328795768078, c2=0.30724039255051294, score=0.869953 -   1.9s
[CV] c1=0.3859585178219046, c2=0.00883156670216685 ...................
[CV]  c1=0.3859585178219046, c2=0.00883156670216685, score=0.792159 -   2.0s
[CV] c1=0.39760005081536615, c2=0.05056136522594278 ..................
[CV]  c1=0.39760005081536615, c2=0.05056136522594278, score=0.759277 -   1.5s
[CV] c1=1.6047816802206634, c2=0.004496699008694158 ..................
[CV]  c1=1.6047816802206634, c2=0.004496699008694158, score=0.643002 -   1.6s
[CV] c1=0.09083507045272611, c2=0.0226008997900533 ...................
[CV]  c1=0.09083507045272611, c2=0.0226008997900533, score=0.767544 -   1.6s
[CV] c1=0.09024621104995595, c2=0.13605751388307927 ..................
[CV]  c1=0.09024621104995595, c2=0.13605751388307927, score=0.754888 -   1.5s
[CV] c1=0.7667816725254017, c2=0.037951521327163215 ..................
[CV]  c1=0.7667816725254017, c2=0.037951521327163215, score=0.874829 -   1.8s
[CV] c1=0.6415272873509169, c2=0.11694053382228098 ...................
[CV]  c1=0.6415272873509169, c2=0.11694053382228098, score=0.854778 -   1.8s
[CV] c1=0.7297620083161377, c2=0.029988381338429338 ..................
[CV]  c1=0.7297620083161377, c2=0.029988381338429338, score=0.721839 -   1.9s
[CV] c1=0.0958213150380074, c2=0.14986959138758757 ...................
[CV]  c1=0.0958213150380074, c2=0.14986959138758757, score=0.787617 -   1.7s
[CV] c1=0.24385425063203856, c2=0.043095523143090606 .................
[CV]  c1=0.24385425063203856, c2=0.043095523143090606, score=0.914294 -   1.9s
[CV] c1=0.6897443260718895, c2=0.01664250534167362 ...................
[CV]  c1=0.6897443260718895, c2=0.01664250534167362, score=0.747102 -   1.5s
[CV] c1=1.4816689214858771, c2=0.11573053972223298 ...................
[CV]  c1=1.4816689214858771, c2=0.11573053972223298, score=0.853315 -   1.7s
[CV] c1=0.019923631337543463, c2=0.06508931877089857 .................
[CV]  c1=0.019923631337543463, c2=0.06508931877089857, score=0.880755 -   1.9s
[CV] c1=1.3378363391195855, c2=0.012376441676315299 ..................
[CV]  c1=1.3378363391195855, c2=0.012376441676315299, score=0.870958 -   1.9s
[CV] c1=1.1661591519903847, c2=0.0010700284892040867 .................
[CV]  c1=1.1661591519903847, c2=0.0010700284892040867, score=0.640970 -   1.9s
[CV] c1=1.702841416446845, c2=0.0003697215040674173 ..................
[CV]  c1=1.702841416446845, c2=0.0003697215040674173, score=0.853754 -   1.9s
[CV] c1=0.20975879763146593, c2=0.01124662674232741 ..................
[CV]  c1=0.20975879763146593, c2=0.01124662674232741, score=0.883158 -   1.8s
[CV] c1=0.7667816725254017, c2=0.037951521327163215 ..................
[CV]  c1=0.7667816725254017, c2=0.037951521327163215, score=0.711432 -   1.5s
[CV] c1=0.4275808463559952, c2=0.008859550720449865 ..................
[CV]  c1=0.4275808463559952, c2=0.008859550720449865, score=0.872063 -   1.8s
[CV] c1=0.1798029198603876, c2=0.019328673916692077 ..................
[CV]  c1=0.1798029198603876, c2=0.019328673916692077, score=0.794138 -   1.3s
[CV] c1=0.23822515334343866, c2=0.0073089588802022435 ................
[CV]  c1=0.23822515334343866, c2=0.0073089588802022435, score=0.899205 -   1.9s
[CV] c1=0.18080235454417473, c2=0.09152443615930815 ..................
[CV]  c1=0.18080235454417473, c2=0.09152443615930815, score=0.787617 -   2.3s
[CV] c1=1.224475638565861, c2=0.006290373869744606 ...................
[CV]  c1=1.224475638565861, c2=0.006290373869744606, score=0.627627 -   1.9s
[CV] c1=0.1960554344293349, c2=0.033146816316250806 ..................
[CV]  c1=0.1960554344293349, c2=0.033146816316250806, score=0.754773 -   1.6s
[CV] c1=0.5417328795768078, c2=0.30724039255051294 ...................
[CV]  c1=0.5417328795768078, c2=0.30724039255051294, score=0.790252 -   1.9s
[CV] c1=0.8155010233984443, c2=0.013467005673318228 ..................
[CV]  c1=0.8155010233984443, c2=0.013467005673318228, score=0.693713 -   2.2s
[CV] c1=0.234983447457937, c2=0.03563054491977278 ....................
[CV]  c1=0.234983447457937, c2=0.03563054491977278, score=0.769611 -   1.5s
[CV] c1=1.5988399167322707, c2=0.0042027358324208675 .................
[CV]  c1=1.5988399167322707, c2=0.0042027358324208675, score=0.679521 -   2.0s
[CV] c1=0.5509744819230623, c2=0.011954523663669928 ..................
[CV]  c1=0.5509744819230623, c2=0.011954523663669928, score=0.893608 -   1.9s
[CV] c1=0.9520848107221452, c2=0.04494470110872014 ...................
[CV]  c1=0.9520848107221452, c2=0.04494470110872014, score=0.673708 -   2.0s
[CV] c1=0.6415272873509169, c2=0.11694053382228098 ...................
[CV]  c1=0.6415272873509169, c2=0.11694053382228098, score=0.717645 -   1.9s
[CV] c1=0.3111527896857957, c2=0.015123913884909832 ..................
[CV]  c1=0.3111527896857957, c2=0.015123913884909832, score=0.907887 -   1.9s
[CV] c1=0.3703428164072481, c2=2.476414619557754e-05 .................
[CV]  c1=0.3703428164072481, c2=2.476414619557754e-05, score=0.762383 -   1.5s
[CV] c1=0.6209072398598868, c2=0.041613162652634914 ..................
[CV]  c1=0.6209072398598868, c2=0.041613162652634914, score=0.854778 -   1.8s
[CV] c1=0.18955935085671274, c2=0.013804243368973096 .................
[CV]  c1=0.18955935085671274, c2=0.013804243368973096, score=0.880929 -   1.8s
[CV] c1=0.1960554344293349, c2=0.033146816316250806 ..................
[CV]  c1=0.1960554344293349, c2=0.033146816316250806, score=0.849702 -   1.9s
[CV] c1=0.23748119388689118, c2=0.022700313815048438 .................
[CV]  c1=0.23748119388689118, c2=0.022700313815048438, score=0.782436 -   1.9s
[CV] c1=0.12171852999327755, c2=0.031545708255067015 .................
[CV]  c1=0.12171852999327755, c2=0.031545708255067015, score=0.799708 -   1.8s
[CV] c1=0.234983447457937, c2=0.03563054491977278 ....................
[CV]  c1=0.234983447457937, c2=0.03563054491977278, score=0.875443 -   1.9s
[CV] c1=0.43695104428081, c2=8.331857196397125e-05 ...................
[CV]  c1=0.43695104428081, c2=8.331857196397125e-05, score=0.770146 -   1.9s
[CV] c1=1.461159705834883, c2=0.049985258157862596 ...................
[CV]  c1=1.461159705834883, c2=0.049985258157862596, score=0.644437 -   2.1s
[CV] c1=0.3915903607090633, c2=0.13062366143367374 ...................
[CV]  c1=0.3915903607090633, c2=0.13062366143367374, score=0.899870 -   1.8s
[CV] c1=0.04324687600043273, c2=0.024119511640396035 .................
[CV]  c1=0.04324687600043273, c2=0.024119511640396035, score=0.852120 -   1.6s
[CV] c1=0.2769585530132901, c2=0.06777559378737777 ...................
[CV]  c1=0.2769585530132901, c2=0.06777559378737777, score=0.862597 -   2.0s
[CV] c1=0.3996124277185364, c2=0.0991788635184932 ....................
[CV]  c1=0.3996124277185364, c2=0.0991788635184932, score=0.759982 -   1.9s
[CV] c1=0.048522675900079866, c2=0.0015042971004155439 ...............
[CV]  c1=0.048522675900079866, c2=0.0015042971004155439, score=0.882038 -   1.8s
[CV] c1=1.133952436459397, c2=0.03334945613016218 ....................
[CV]  c1=1.133952436459397, c2=0.03334945613016218, score=0.798234 -   1.9s
[CV] c1=0.09810253829623447, c2=0.05850192987735186 ..................
[CV]  c1=0.09810253829623447, c2=0.05850192987735186, score=0.894643 -   1.9s
[CV] c1=0.147083671796318, c2=0.003093341519609905 ...................
[CV]  c1=0.147083671796318, c2=0.003093341519609905, score=0.800733 -   1.9s
[CV] c1=0.09706035960374365, c2=0.03606941871824511 ..................
[CV]  c1=0.09706035960374365, c2=0.03606941871824511, score=0.878011 -   1.9s
[CV] c1=0.21672234281401254, c2=0.05135593574902275 ..................
[CV]  c1=0.21672234281401254, c2=0.05135593574902275, score=0.909648 -   2.0s
[CV] c1=0.9683549294299985, c2=0.0447377890546434 ....................
[CV]  c1=0.9683549294299985, c2=0.0447377890546434, score=0.811749 -   2.2s
[CV] c1=0.23067569965202106, c2=0.04277233832132266 ..................
[CV]  c1=0.23067569965202106, c2=0.04277233832132266, score=0.875443 -   1.9s
[CV] c1=0.2663586887125872, c2=0.05353797804102631 ...................
[CV]  c1=0.2663586887125872, c2=0.05353797804102631, score=0.770476 -   1.5s
[CV] c1=0.14882584204571464, c2=0.22489455577473394 ..................
[CV]  c1=0.14882584204571464, c2=0.22489455577473394, score=0.793329 -   1.5s
[CV] c1=0.06400498479163545, c2=0.07395543036308774 ..................
[CV]  c1=0.06400498479163545, c2=0.07395543036308774, score=0.858948 -   1.5s
[CV] c1=0.4018529810045174, c2=0.13952346944542024 ...................
[CV]  c1=0.4018529810045174, c2=0.13952346944542024, score=0.758535 -   1.9s
[CV] c1=1.3359523490857668, c2=0.06584604013046164 ...................
[CV]  c1=1.3359523490857668, c2=0.06584604013046164, score=0.616944 -   1.9s
[CV] c1=2.0312089323051863, c2=0.022028454416833862 ..................
[CV]  c1=2.0312089323051863, c2=0.022028454416833862, score=0.725787 -   1.8s
[CV] c1=0.8436107078244206, c2=0.008384538223177437 ..................
[CV]  c1=0.8436107078244206, c2=0.008384538223177437, score=0.791638 -   1.9s
[CV] c1=0.580810622612536, c2=0.02266615808767624 ....................
[CV]  c1=0.580810622612536, c2=0.02266615808767624, score=0.906869 -   1.8s
[CV] c1=0.8155010233984443, c2=0.013467005673318228 ..................
[CV]  c1=0.8155010233984443, c2=0.013467005673318228, score=0.691851 -   1.5s
[CV] c1=0.11173395979473531, c2=0.061456740042195514 .................
[CV]  c1=0.11173395979473531, c2=0.061456740042195514, score=0.849132 -   1.7s
[CV] c1=0.12930167544677296, c2=0.04912698379099523 ..................
[CV]  c1=0.12930167544677296, c2=0.04912698379099523, score=0.852183 -   1.7s
[CV] c1=0.9683549294299985, c2=0.0447377890546434 ....................
[CV]  c1=0.9683549294299985, c2=0.0447377890546434, score=0.736143 -   2.0s
[CV] c1=0.23067569965202106, c2=0.04277233832132266 ..................
[CV]  c1=0.23067569965202106, c2=0.04277233832132266, score=0.760881 -   1.5s
[CV] c1=0.7667816725254017, c2=0.037951521327163215 ..................
[CV]  c1=0.7667816725254017, c2=0.037951521327163215, score=0.815995 -   1.9s
[CV] c1=0.04324687600043273, c2=0.024119511640396035 .................
[CV]  c1=0.04324687600043273, c2=0.024119511640396035, score=0.801432 -   1.8s
[CV] c1=0.522350820758888, c2=0.022338260068568296 ...................
[CV]  c1=0.522350820758888, c2=0.022338260068568296, score=0.904305 -   1.5s
[CV] c1=0.1590148725316043, c2=0.004436648935220236 ..................
[CV]  c1=0.1590148725316043, c2=0.004436648935220236, score=0.774582 -   1.4s
[CV] c1=0.0958213150380074, c2=0.14986959138758757 ...................
[CV]  c1=0.0958213150380074, c2=0.14986959138758757, score=0.878934 -   1.9s
[CV] c1=0.24385425063203856, c2=0.043095523143090606 .................
[CV]  c1=0.24385425063203856, c2=0.043095523143090606, score=0.788112 -   2.0s
[CV] c1=0.006735045673433993, c2=0.004873536071917356 ................
[CV]  c1=0.006735045673433993, c2=0.004873536071917356, score=0.892401 -   1.9s
[CV] c1=1.428734920255357, c2=0.006090588660775827 ...................
[CV]  c1=1.428734920255357, c2=0.006090588660775827, score=0.865964 -   1.8s
[CV] c1=0.38618965192484905, c2=0.08234072251016658 ..................
[CV]  c1=0.38618965192484905, c2=0.08234072251016658, score=0.893097 -   2.0s
[CV] c1=0.16641473920112562, c2=0.05395703065114371 ..................
[CV]  c1=0.16641473920112562, c2=0.05395703065114371, score=0.852183 -   1.8s
[CV] c1=0.21672234281401254, c2=0.05135593574902275 ..................
[CV]  c1=0.21672234281401254, c2=0.05135593574902275, score=0.852183 -   2.1s
[CV] c1=0.09083507045272611, c2=0.0226008997900533 ...................
[CV]  c1=0.09083507045272611, c2=0.0226008997900533, score=0.799708 -   1.9s
[CV] c1=0.23067569965202106, c2=0.04277233832132266 ..................
[CV]  c1=0.23067569965202106, c2=0.04277233832132266, score=0.865375 -   1.8s
[CV] c1=0.12405532229069219, c2=0.015872607738922944 .................
[CV]  c1=0.12405532229069219, c2=0.015872607738922944, score=0.917452 -   1.9s
[CV] c1=1.1036071584537614, c2=0.004832698000336474 ..................
[CV]  c1=1.1036071584537614, c2=0.004832698000336474, score=0.684325 -   1.2s
[CV] c1=0.1798029198603876, c2=0.019328673916692077 ..................
[CV]  c1=0.1798029198603876, c2=0.019328673916692077, score=0.796573 -   1.7s
[CV] c1=0.4018529810045174, c2=0.13952346944542024 ...................
[CV]  c1=0.4018529810045174, c2=0.13952346944542024, score=0.843083 -   1.8s
[CV] c1=1.3359523490857668, c2=0.06584604013046164 ...................
[CV]  c1=1.3359523490857668, c2=0.06584604013046164, score=0.667887 -   1.5s
[CV] c1=0.1007201423844842, c2=0.09346513957721554 ...................
[CV]  c1=0.1007201423844842, c2=0.09346513957721554, score=0.872989 -   1.9s
[CV] c1=0.2843991033939189, c2=0.007724981750903637 ..................
[CV]  c1=0.2843991033939189, c2=0.007724981750903637, score=0.756975 -   1.5s
[CV] c1=1.428734920255357, c2=0.006090588660775827 ...................
[CV]  c1=1.428734920255357, c2=0.006090588660775827, score=0.655094 -   1.4s
[CV] c1=0.019923631337543463, c2=0.06508931877089857 .................
[CV]  c1=0.019923631337543463, c2=0.06508931877089857, score=0.834325 -   1.9s
[CV] c1=0.09706035960374365, c2=0.03606941871824511 ..................
[CV]  c1=0.09706035960374365, c2=0.03606941871824511, score=0.906447 -   1.9s
[CV] c1=0.15675924812338962, c2=0.025179348687640116 .................
[CV]  c1=0.15675924812338962, c2=0.025179348687640116, score=0.879261 -   1.8s
[CV] c1=1.702841416446845, c2=0.0003697215040674173 ..................
[CV]  c1=1.702841416446845, c2=0.0003697215040674173, score=0.632735 -   1.5s
[CV] c1=0.5509744819230623, c2=0.011954523663669928 ..................
[CV]  c1=0.5509744819230623, c2=0.011954523663669928, score=0.845829 -   2.0s
[CV] c1=0.9128629619535171, c2=0.0035781025715948683 .................
[CV]  c1=0.9128629619535171, c2=0.0035781025715948683, score=0.693713 -   2.1s
[CV] c1=0.04324687600043273, c2=0.024119511640396035 .................
[CV]  c1=0.04324687600043273, c2=0.024119511640396035, score=0.793011 -   1.5s
[CV] c1=0.522350820758888, c2=0.022338260068568296 ...................
[CV]  c1=0.522350820758888, c2=0.022338260068568296, score=0.827609 -   1.6s
[CV] c1=0.1590148725316043, c2=0.004436648935220236 ..................
[CV]  c1=0.1590148725316043, c2=0.004436648935220236, score=0.880929 -   2.0s
[CV] c1=0.18080235454417473, c2=0.09152443615930815 ..................
[CV]  c1=0.18080235454417473, c2=0.09152443615930815, score=0.889973 -   2.0s
[CV] c1=0.1007201423844842, c2=0.09346513957721554 ...................
[CV]  c1=0.1007201423844842, c2=0.09346513957721554, score=0.878462 -   1.9s
[CV] c1=0.8436107078244206, c2=0.008384538223177437 ..................
[CV]  c1=0.8436107078244206, c2=0.008384538223177437, score=0.690472 -   2.0s
[CV] c1=0.5417328795768078, c2=0.30724039255051294 ...................
[CV]  c1=0.5417328795768078, c2=0.30724039255051294, score=0.798615 -   1.7s
[CV] c1=0.3859585178219046, c2=0.00883156670216685 ...................
[CV]  c1=0.3859585178219046, c2=0.00883156670216685, score=0.740510 -   1.6s
[CV] c1=0.11173395979473531, c2=0.061456740042195514 .................
[CV]  c1=0.11173395979473531, c2=0.061456740042195514, score=0.797318 -   1.9s
[CV] c1=0.12930167544677296, c2=0.04912698379099523 ..................
[CV]  c1=0.12930167544677296, c2=0.04912698379099523, score=0.876044 -   2.0s
[CV] c1=1.6619159423907057, c2=0.04763381864492852 ...................
[CV]  c1=1.6619159423907057, c2=0.04763381864492852, score=0.625989 -   1.6s
[CV] c1=0.23067569965202106, c2=0.04277233832132266 ..................
[CV]  c1=0.23067569965202106, c2=0.04277233832132266, score=0.903962 -   1.8s
[CV] c1=0.12405532229069219, c2=0.015872607738922944 .................
[CV]  c1=0.12405532229069219, c2=0.015872607738922944, score=0.779091 -   1.6s
[CV] c1=0.04324687600043273, c2=0.024119511640396035 .................
[CV]  c1=0.04324687600043273, c2=0.024119511640396035, score=0.854423 -   1.7s
[CV] c1=0.2411152745968213, c2=0.06677957359316096 ...................
[CV]  c1=0.2411152745968213, c2=0.06677957359316096, score=0.785026 -   1.9s
[CV] c1=0.3703428164072481, c2=2.476414619557754e-05 .................
[CV]  c1=0.3703428164072481, c2=2.476414619557754e-05, score=0.909998 -   2.0s
[CV] c1=0.048522675900079866, c2=0.0015042971004155439 ...............
[CV]  c1=0.048522675900079866, c2=0.0015042971004155439, score=0.889212 -   1.9s
[CV] c1=0.6897443260718895, c2=0.01664250534167362 ...................
[CV]  c1=0.6897443260718895, c2=0.01664250534167362, score=0.725951 -   1.9s
[CV] c1=0.09810253829623447, c2=0.05850192987735186 ..................
[CV]  c1=0.09810253829623447, c2=0.05850192987735186, score=0.852183 -   1.8s
[CV] c1=0.147083671796318, c2=0.003093341519609905 ...................
[CV]  c1=0.147083671796318, c2=0.003093341519609905, score=0.874089 -   1.8s
[CV] c1=0.09706035960374365, c2=0.03606941871824511 ..................
[CV]  c1=0.09706035960374365, c2=0.03606941871824511, score=0.799708 -   1.9s
[CV] c1=0.15675924812338962, c2=0.025179348687640116 .................
[CV]  c1=0.15675924812338962, c2=0.025179348687640116, score=0.761593 -   1.6s
[CV] c1=0.006392409600344624, c2=0.007195426684364243 ................
[CV]  c1=0.006392409600344624, c2=0.007195426684364243, score=0.852120 -   1.9s
[CV] c1=1.461159705834883, c2=0.049985258157862596 ...................
[CV]  c1=1.461159705834883, c2=0.049985258157862596, score=0.661978 -   1.5s
[CV] c1=0.9520848107221452, c2=0.04494470110872014 ...................
[CV]  c1=0.9520848107221452, c2=0.04494470110872014, score=0.877084 -   1.9s
[CV] c1=0.4275808463559952, c2=0.008859550720449865 ..................
[CV]  c1=0.4275808463559952, c2=0.008859550720449865, score=0.770148 -   1.9s
[CV] c1=0.522350820758888, c2=0.022338260068568296 ...................
[CV]  c1=0.522350820758888, c2=0.022338260068568296, score=0.737001 -   1.4s
[CV] c1=0.1590148725316043, c2=0.004436648935220236 ..................
[CV]  c1=0.1590148725316043, c2=0.004436648935220236, score=0.809824 -   2.0s
[CV] c1=0.10913994265206461, c2=0.06161852334192133 ..................
[CV]  c1=0.10913994265206461, c2=0.06161852334192133, score=0.852183 -   1.8s
[CV] c1=0.1930217296350447, c2=0.0033833331768784885 .................
[CV]  c1=0.1930217296350447, c2=0.0033833331768784885, score=0.859692 -   1.9s
[CV] c1=0.006735045673433993, c2=0.004873536071917356 ................
[CV]  c1=0.006735045673433993, c2=0.004873536071917356, score=0.819406 -   1.9s
[CV] c1=3.091054183641738, c2=0.048979223941949424 ...................
[CV]  c1=3.091054183641738, c2=0.048979223941949424, score=0.501718 -   1.7s
[CV] c1=0.38618965192484905, c2=0.08234072251016658 ..................
[CV]  c1=0.38618965192484905, c2=0.08234072251016658, score=0.761622 -   1.8s
[CV] c1=0.16641473920112562, c2=0.05395703065114371 ..................
[CV]  c1=0.16641473920112562, c2=0.05395703065114371, score=0.788709 -   1.9s
[CV] c1=0.21672234281401254, c2=0.05135593574902275 ..................
[CV]  c1=0.21672234281401254, c2=0.05135593574902275, score=0.875443 -   2.1s
[CV] c1=0.09083507045272611, c2=0.0226008997900533 ...................
[CV]  c1=0.09083507045272611, c2=0.0226008997900533, score=0.842924 -   1.9s
[CV] c1=0.8370540828221822, c2=0.034418371238390685 ..................
[CV]  c1=0.8370540828221822, c2=0.034418371238390685, score=0.700306 -   1.5s
[CV] c1=0.12405532229069219, c2=0.015872607738922944 .................
[CV]  c1=0.12405532229069219, c2=0.015872607738922944, score=0.906095 -   1.8s
[CV] c1=0.44307724855577135, c2=0.09424704456324767 ..................
[CV]  c1=0.44307724855577135, c2=0.09424704456324767, score=0.748677 -   1.4s
[CV] c1=0.1798029198603876, c2=0.019328673916692077 ..................
[CV]  c1=0.1798029198603876, c2=0.019328673916692077, score=0.917452 -   1.7s
[CV] c1=0.7857172009822545, c2=0.10426377287260913 ...................
[CV]  c1=0.7857172009822545, c2=0.10426377287260913, score=0.862640 -   1.9s
[CV] c1=0.28045189177412694, c2=0.0648442683192124 ...................
[CV]  c1=0.28045189177412694, c2=0.0648442683192124, score=0.914542 -   2.0s
[CV] c1=0.18955935085671274, c2=0.013804243368973096 .................
[CV]  c1=0.18955935085671274, c2=0.013804243368973096, score=0.887452 -   2.0s
[CV] c1=0.04888523862412697, c2=0.01725525817763304 ..................
[CV]  c1=0.04888523862412697, c2=0.01725525817763304, score=0.882329 -   1.8s
[CV] c1=0.23748119388689118, c2=0.022700313815048438 .................
[CV]  c1=0.23748119388689118, c2=0.022700313815048438, score=0.900890 -   1.9s
[CV] c1=0.12171852999327755, c2=0.031545708255067015 .................
[CV]  c1=0.12171852999327755, c2=0.031545708255067015, score=0.775415 -   1.6s
[CV] c1=0.18548602525928592, c2=0.06525754576411784 ..................
[CV]  c1=0.18548602525928592, c2=0.06525754576411784, score=0.773443 -   1.5s
[CV] c1=1.5988399167322707, c2=0.0042027358324208675 .................
[CV]  c1=1.5988399167322707, c2=0.0042027358324208675, score=0.852993 -   1.9s
[CV] c1=0.13703240300224045, c2=0.04363893797688412 ..................
[CV]  c1=0.13703240300224045, c2=0.04363893797688412, score=0.797318 -   1.9s
[CV] c1=0.6300717016215454, c2=0.03710948486792456 ...................
[CV]  c1=0.6300717016215454, c2=0.03710948486792456, score=0.882952 -   1.9s
[CV] c1=0.8959434842130267, c2=0.07991492808431731 ...................
[CV]  c1=0.8959434842130267, c2=0.07991492808431731, score=0.690422 -   1.8s
[CV] c1=0.2769585530132901, c2=0.06777559378737777 ...................
[CV]  c1=0.2769585530132901, c2=0.06777559378737777, score=0.785026 -   1.9s
[CV] c1=0.3996124277185364, c2=0.0991788635184932 ....................
[CV]  c1=0.3996124277185364, c2=0.0991788635184932, score=0.904420 -   1.9s
[CV] c1=0.06405875547669684, c2=0.039534975344827555 .................
[CV]  c1=0.06405875547669684, c2=0.039534975344827555, score=0.810739 -   1.8s
[CV] c1=0.6430556680617049, c2=0.03309223890432422 ...................
[CV]  c1=0.6430556680617049, c2=0.03309223890432422, score=0.854778 -   1.9s
[CV] c1=1.4816689214858771, c2=0.11573053972223298 ...................
[CV]  c1=1.4816689214858771, c2=0.11573053972223298, score=0.644537 -   1.5s
[CV] c1=0.23748119388689118, c2=0.022700313815048438 .................
[CV]  c1=0.23748119388689118, c2=0.022700313815048438, score=0.753638 -   1.5s
[CV] c1=0.8155010233984443, c2=0.013467005673318228 ..................
[CV]  c1=0.8155010233984443, c2=0.013467005673318228, score=0.769662 -   1.9s
[CV] c1=0.39760005081536615, c2=0.05056136522594278 ..................
[CV]  c1=0.39760005081536615, c2=0.05056136522594278, score=0.864900 -   1.9s
[CV] c1=0.4423626730817616, c2=0.007884196199842904 ..................
[CV]  c1=0.4423626730817616, c2=0.007884196199842904, score=0.897703 -   1.9s
[CV] c1=0.17031017540411958, c2=0.0011152827913327645 ................
[CV]  c1=0.17031017540411958, c2=0.0011152827913327645, score=0.790487 -   1.9s
[CV] c1=0.6300717016215454, c2=0.03710948486792456 ...................
[CV]  c1=0.6300717016215454, c2=0.03710948486792456, score=0.843085 -   2.0s
[CV] c1=0.4275808463559952, c2=0.008859550720449865 ..................
[CV]  c1=0.4275808463559952, c2=0.008859550720449865, score=0.744111 -   1.5s
[CV] c1=0.2769585530132901, c2=0.06777559378737777 ...................
[CV]  c1=0.2769585530132901, c2=0.06777559378737777, score=0.899014 -   1.9s
[CV] c1=1.114223470350663, c2=0.005616677267409139 ...................
[CV]  c1=1.114223470350663, c2=0.005616677267409139, score=0.752802 -   1.8s
[CV] c1=0.6209072398598868, c2=0.041613162652634914 ..................
[CV]  c1=0.6209072398598868, c2=0.041613162652634914, score=0.812712 -   1.8s
[CV] c1=0.18955935085671274, c2=0.013804243368973096 .................
[CV]  c1=0.18955935085671274, c2=0.013804243368973096, score=0.870032 -   1.7s
[CV] c1=0.1960554344293349, c2=0.033146816316250806 ..................
[CV]  c1=0.1960554344293349, c2=0.033146816316250806, score=0.909648 -   1.9s
[CV] c1=0.8055248227730352, c2=0.07529034167095419 ...................
[CV]  c1=0.8055248227730352, c2=0.07529034167095419, score=0.707258 -   1.4s
[CV] c1=0.3859585178219046, c2=0.00883156670216685 ...................
[CV]  c1=0.3859585178219046, c2=0.00883156670216685, score=0.859573 -   1.9s
[CV] c1=0.18724939119033224, c2=0.07028675938046036 ..................
[CV]  c1=0.18724939119033224, c2=0.07028675938046036, score=0.791300 -   1.9s
[CV] c1=1.6047816802206634, c2=0.004496699008694158 ..................
[CV]  c1=1.6047816802206634, c2=0.004496699008694158, score=0.674328 -   1.9s
[CV] c1=0.13703240300224045, c2=0.04363893797688412 ..................
[CV]  c1=0.13703240300224045, c2=0.04363893797688412, score=0.892656 -   1.8s
[CV] c1=0.8370540828221822, c2=0.034418371238390685 ..................
[CV]  c1=0.8370540828221822, c2=0.034418371238390685, score=0.843085 -   1.9s
[CV] c1=0.2369988483489891, c2=0.033197497244113604 ..................
[CV]  c1=0.2369988483489891, c2=0.033197497244113604, score=0.803037 -   1.4s
[CV] c1=0.44307724855577135, c2=0.09424704456324767 ..................
[CV]  c1=0.44307724855577135, c2=0.09424704456324767, score=0.841581 -   1.4s
[CV] c1=1.206318766337803, c2=0.08194112423720018 ....................
[CV]  c1=1.206318766337803, c2=0.08194112423720018, score=0.813729 -   1.8s
[CV] c1=0.4018529810045174, c2=0.13952346944542024 ...................
[CV]  c1=0.4018529810045174, c2=0.13952346944542024, score=0.758199 -   1.6s
[CV] c1=0.18080235454417473, c2=0.09152443615930815 ..................
[CV]  c1=0.18080235454417473, c2=0.09152443615930815, score=0.782271 -   1.5s
[CV] c1=0.1930217296350447, c2=0.0033833331768784885 .................
[CV]  c1=0.1930217296350447, c2=0.0033833331768784885, score=0.800580 -   1.6s
[CV] c1=0.6897443260718895, c2=0.01664250534167362 ...................
[CV]  c1=0.6897443260718895, c2=0.01664250534167362, score=0.803006 -   1.9s
[CV] c1=0.09810253829623447, c2=0.05850192987735186 ..................
[CV]  c1=0.09810253829623447, c2=0.05850192987735186, score=0.843976 -   2.0s
[CV] c1=0.38618965192484905, c2=0.08234072251016658 ..................
[CV]  c1=0.38618965192484905, c2=0.08234072251016658, score=0.750104 -   1.6s
[CV] c1=0.09706035960374365, c2=0.03606941871824511 ..................
[CV]  c1=0.09706035960374365, c2=0.03606941871824511, score=0.857201 -   1.8s
[CV] c1=0.15675924812338962, c2=0.025179348687640116 .................
[CV]  c1=0.15675924812338962, c2=0.025179348687640116, score=0.862597 -   1.9s
[CV] c1=0.9683549294299985, c2=0.0447377890546434 ....................
[CV]  c1=0.9683549294299985, c2=0.0447377890546434, score=0.879693 -   1.8s
[CV] c1=0.20975879763146593, c2=0.01124662674232741 ..................
[CV]  c1=0.20975879763146593, c2=0.01124662674232741, score=0.814038 -   2.0s
[CV] c1=0.3915903607090633, c2=0.13062366143367374 ...................
[CV]  c1=0.3915903607090633, c2=0.13062366143367374, score=0.826173 -   1.9s
[CV] c1=0.44307724855577135, c2=0.09424704456324767 ..................
[CV]  c1=0.44307724855577135, c2=0.09424704456324767, score=0.904305 -   1.5s
[CV] c1=0.522350820758888, c2=0.022338260068568296 ...................
[CV]  c1=0.522350820758888, c2=0.022338260068568296, score=0.864310 -   1.5s
[CV] c1=0.1590148725316043, c2=0.004436648935220236 ..................
[CV]  c1=0.1590148725316043, c2=0.004436648935220236, score=0.865752 -   1.9s
[CV] c1=0.10913994265206461, c2=0.06161852334192133 ..................
[CV]  c1=0.10913994265206461, c2=0.06161852334192133, score=0.878462 -   2.0s
[CV] c1=0.1007201423844842, c2=0.09346513957721554 ...................
[CV]  c1=0.1007201423844842, c2=0.09346513957721554, score=0.747533 -   1.5s
[CV] c1=0.006735045673433993, c2=0.004873536071917356 ................
[CV]  c1=0.006735045673433993, c2=0.004873536071917356, score=0.802832 -   2.0s
[CV] c1=1.428734920255357, c2=0.006090588660775827 ...................
[CV]  c1=1.428734920255357, c2=0.006090588660775827, score=0.684569 -   2.0s
[CV] c1=0.06860734833915752, c2=0.057411052632415915 .................
[CV]  c1=0.06860734833915752, c2=0.057411052632415915, score=0.758482 -   1.5s
[CV] c1=0.16641473920112562, c2=0.05395703065114371 ..................
[CV]  c1=0.16641473920112562, c2=0.05395703065114371, score=0.897267 -   1.9s
[CV] c1=0.21672234281401254, c2=0.05135593574902275 ..................
[CV]  c1=0.21672234281401254, c2=0.05135593574902275, score=0.790703 -   1.9s
[CV] c1=0.9683549294299985, c2=0.0447377890546434 ....................
[CV]  c1=0.9683549294299985, c2=0.0447377890546434, score=0.687328 -   1.9s
[CV] c1=0.09024621104995595, c2=0.13605751388307927 ..................
[CV]  c1=0.09024621104995595, c2=0.13605751388307927, score=0.861188 -   1.8s
[CV] c1=0.3915903607090633, c2=0.13062366143367374 ...................
[CV]  c1=0.3915903607090633, c2=0.13062366143367374, score=0.831261 -   1.9s
[CV] c1=0.14882584204571464, c2=0.22489455577473394 ..................
[CV]  c1=0.14882584204571464, c2=0.22489455577473394, score=0.861188 -   1.6s
[CV] c1=0.1798029198603876, c2=0.019328673916692077 ..................
[CV]  c1=0.1798029198603876, c2=0.019328673916692077, score=0.865375 -   1.5s
[CV] c1=0.4018529810045174, c2=0.13952346944542024 ...................
[CV]  c1=0.4018529810045174, c2=0.13952346944542024, score=0.901937 -   2.0s
[CV] c1=1.3359523490857668, c2=0.06584604013046164 ...................
[CV]  c1=1.3359523490857668, c2=0.06584604013046164, score=0.770368 -   1.9s
[CV] c1=1.224475638565861, c2=0.006290373869744606 ...................
[CV]  c1=1.224475638565861, c2=0.006290373869744606, score=0.868139 -   1.9s
[CV] c1=0.8347798457821637, c2=0.041087817998413344 ..................
[CV]  c1=0.8347798457821637, c2=0.041087817998413344, score=0.695069 -   1.4s
[CV] c1=3.091054183641738, c2=0.048979223941949424 ...................
[CV]  c1=3.091054183641738, c2=0.048979223941949424, score=0.576560 -   2.0s
[CV] c1=0.06860734833915752, c2=0.057411052632415915 .................
[CV]  c1=0.06860734833915752, c2=0.057411052632415915, score=0.846395 -   1.9s
[CV] c1=0.18724939119033224, c2=0.07028675938046036 ..................
[CV]  c1=0.18724939119033224, c2=0.07028675938046036, score=0.739291 -   1.4s
[CV] c1=0.12930167544677296, c2=0.04912698379099523 ..................
[CV]  c1=0.12930167544677296, c2=0.04912698379099523, score=0.897288 -   1.9s
[CV] c1=0.09083507045272611, c2=0.0226008997900533 ...................
[CV]  c1=0.09083507045272611, c2=0.0226008997900533, score=0.895218 -   1.9s
[CV] c1=0.09024621104995595, c2=0.13605751388307927 ..................
[CV]  c1=0.09024621104995595, c2=0.13605751388307927, score=0.840697 -   1.9s
[CV] c1=0.12405532229069219, c2=0.015872607738922944 .................
[CV]  c1=0.12405532229069219, c2=0.015872607738922944, score=0.867678 -   1.8s
[CV] c1=0.44307724855577135, c2=0.09424704456324767 ..................
[CV]  c1=0.44307724855577135, c2=0.09424704456324767, score=0.885480 -   1.5s
[CV] c1=0.522350820758888, c2=0.022338260068568296 ...................
[CV]  c1=0.522350820758888, c2=0.022338260068568296, score=0.776268 -   1.1s
[CV] c1=0.1590148725316043, c2=0.004436648935220236 ..................
[CV]  c1=0.1590148725316043, c2=0.004436648935220236, score=0.905501 -   1.9s
[CV] c1=0.10913994265206461, c2=0.06161852334192133 ..................
[CV]  c1=0.10913994265206461, c2=0.06161852334192133, score=0.738189 -   1.5s
[CV] c1=0.24385425063203856, c2=0.043095523143090606 .................
[CV]  c1=0.24385425063203856, c2=0.043095523143090606, score=0.761436 -   1.6s
[CV] c1=1.133952436459397, c2=0.03334945613016218 ....................
[CV]  c1=1.133952436459397, c2=0.03334945613016218, score=0.865460 -   1.9s
[CV] c1=1.4816689214858771, c2=0.11573053972223298 ...................
[CV]  c1=1.4816689214858771, c2=0.11573053972223298, score=0.783397 -   2.0s
[CV] c1=0.147083671796318, c2=0.003093341519609905 ...................
[CV]  c1=0.147083671796318, c2=0.003093341519609905, score=0.775514 -   1.6s
[CV] c1=1.3378363391195855, c2=0.012376441676315299 ..................
[CV]  c1=1.3378363391195855, c2=0.012376441676315299, score=0.626180 -   2.2s
[CV] c1=0.21672234281401254, c2=0.05135593574902275 ..................
[CV]  c1=0.21672234281401254, c2=0.05135593574902275, score=0.760688 -   1.6s
[CV] c1=0.43695104428081, c2=8.331857196397125e-05 ...................
[CV]  c1=0.43695104428081, c2=8.331857196397125e-05, score=0.864787 -   2.0s
[CV] c1=0.20975879763146593, c2=0.01124662674232741 ..................
[CV]  c1=0.20975879763146593, c2=0.01124662674232741, score=0.870032 -   1.9s
[CV] c1=0.7667816725254017, c2=0.037951521327163215 ..................
[CV]  c1=0.7667816725254017, c2=0.037951521327163215, score=0.780975 -   2.0s
[CV] c1=0.14882584204571464, c2=0.22489455577473394 ..................
[CV]  c1=0.14882584204571464, c2=0.22489455577473394, score=0.835265 -   1.6s
[CV] c1=0.3111527896857957, c2=0.015123913884909832 ..................
[CV]  c1=0.3111527896857957, c2=0.015123913884909832, score=0.738799 -   1.5s
[CV] c1=1.114223470350663, c2=0.005616677267409139 ...................
[CV]  c1=1.114223470350663, c2=0.005616677267409139, score=0.643171 -   2.0s
[CV] c1=0.06405875547669684, c2=0.039534975344827555 .................
[CV]  c1=0.06405875547669684, c2=0.039534975344827555, score=0.873004 -   1.9s
[CV] c1=0.6430556680617049, c2=0.03309223890432422 ...................
[CV]  c1=0.6430556680617049, c2=0.03309223890432422, score=0.830886 -   1.8s
[CV] c1=0.04888523862412697, c2=0.01725525817763304 ..................
[CV]  c1=0.04888523862412697, c2=0.01725525817763304, score=0.846161 -   1.7s
[CV] c1=0.23748119388689118, c2=0.022700313815048438 .................
[CV]  c1=0.23748119388689118, c2=0.022700313815048438, score=0.855250 -   1.9s
[CV] c1=1.3378363391195855, c2=0.012376441676315299 ..................
[CV]  c1=1.3378363391195855, c2=0.012376441676315299, score=0.661813 -   1.5s
[CV] c1=0.18548602525928592, c2=0.06525754576411784 ..................
[CV]  c1=0.18548602525928592, c2=0.06525754576411784, score=0.908572 -   1.9s
[CV] c1=0.4423626730817616, c2=0.007884196199842904 ..................
[CV]  c1=0.4423626730817616, c2=0.007884196199842904, score=0.743900 -   1.4s
[CV] c1=1.6619159423907057, c2=0.04763381864492852 ...................
[CV]  c1=1.6619159423907057, c2=0.04763381864492852, score=0.637025 -   1.9s
[CV] c1=1.080091020087618, c2=0.023587711267843297 ...................
[CV]  c1=1.080091020087618, c2=0.023587711267843297, score=0.693921 -   1.4s
[CV] c1=0.12405532229069219, c2=0.015872607738922944 .................
[CV]  c1=0.12405532229069219, c2=0.015872607738922944, score=0.799164 -   1.9s
[CV] c1=1.1036071584537614, c2=0.004832698000336474 ..................
[CV]  c1=1.1036071584537614, c2=0.004832698000336474, score=0.865964 -   1.5s
[CV] c1=1.206318766337803, c2=0.08194112423720018 ....................
[CV]  c1=1.206318766337803, c2=0.08194112423720018, score=0.711754 -   1.5s
[CV] c1=0.23822515334343866, c2=0.0073089588802022435 ................
[CV]  c1=0.23822515334343866, c2=0.0073089588802022435, score=0.790487 -   1.9s
[CV] c1=0.18080235454417473, c2=0.09152443615930815 ..................
[CV]  c1=0.18080235454417473, c2=0.09152443615930815, score=0.849132 -   1.8s
[CV] c1=0.1007201423844842, c2=0.09346513957721554 ...................
[CV]  c1=0.1007201423844842, c2=0.09346513957721554, score=0.808350 -   1.9s
[CV] c1=0.2843991033939189, c2=0.007724981750903637 ..................
[CV]  c1=0.2843991033939189, c2=0.007724981750903637, score=0.869000 -   1.9s
[CV] c1=0.5417328795768078, c2=0.30724039255051294 ...................
[CV]  c1=0.5417328795768078, c2=0.30724039255051294, score=0.717463 -   1.6s
[CV] c1=0.06860734833915752, c2=0.057411052632415915 .................
[CV]  c1=0.06860734833915752, c2=0.057411052632415915, score=0.792666 -   1.9s
[CV] c1=0.11173395979473531, c2=0.061456740042195514 .................
[CV]  c1=0.11173395979473531, c2=0.061456740042195514, score=0.843976 -   2.0s
[CV] c1=1.6047816802206634, c2=0.004496699008694158 ..................
[CV]  c1=1.6047816802206634, c2=0.004496699008694158, score=0.621895 -   2.1s
[CV] c1=0.13703240300224045, c2=0.04363893797688412 ..................
[CV]  c1=0.13703240300224045, c2=0.04363893797688412, score=0.760086 -   1.5s
[CV] c1=0.8370540828221822, c2=0.034418371238390685 ..................
[CV]  c1=0.8370540828221822, c2=0.034418371238390685, score=0.880954 -   2.0s
[CV] c1=0.2663586887125872, c2=0.05353797804102631 ...................
[CV]  c1=0.2663586887125872, c2=0.05353797804102631, score=0.849690 -   2.0s
[CV] c1=0.6827221379511497, c2=0.06120537758876942 ...................
[CV]  c1=0.6827221379511497, c2=0.06120537758876942, score=0.713751 -   1.1s
[CV] c1=0.2411152745968213, c2=0.06677957359316096 ...................
[CV]  c1=0.2411152745968213, c2=0.06677957359316096, score=0.918463 -   1.9s
[CV] c1=0.3996124277185364, c2=0.0991788635184932 ....................
[CV]  c1=0.3996124277185364, c2=0.0991788635184932, score=0.752654 -   1.6s
[CV] c1=0.6209072398598868, c2=0.041613162652634914 ..................
[CV]  c1=0.6209072398598868, c2=0.041613162652634914, score=0.887870 -   1.9s
[CV] c1=0.18955935085671274, c2=0.013804243368973096 .................
[CV]  c1=0.18955935085671274, c2=0.013804243368973096, score=0.790487 -   1.9s
[CV] c1=0.1960554344293349, c2=0.033146816316250806 ..................
[CV]  c1=0.1960554344293349, c2=0.033146816316250806, score=0.865485 -   1.8s
[CV] c1=0.8055248227730352, c2=0.07529034167095419 ...................
[CV]  c1=0.8055248227730352, c2=0.07529034167095419, score=0.809494 -   1.9s
[CV] c1=0.5938502555082286, c2=0.01747010393579603 ...................
[CV]  c1=0.5938502555082286, c2=0.01747010393579603, score=0.854778 -   1.9s
[CV] c1=0.234983447457937, c2=0.03563054491977278 ....................
[CV]  c1=0.234983447457937, c2=0.03563054491977278, score=0.867678 -   1.8s
[CV] c1=0.006392409600344624, c2=0.007195426684364243 ................
[CV]  c1=0.006392409600344624, c2=0.007195426684364243, score=0.777800 -   1.5s
[CV] c1=0.17031017540411958, c2=0.0011152827913327645 ................
[CV]  c1=0.17031017540411958, c2=0.0011152827913327645, score=0.905501 -   1.9s
[CV] c1=0.6300717016215454, c2=0.03710948486792456 ...................
[CV]  c1=0.6300717016215454, c2=0.03710948486792456, score=0.791207 -   1.7s
[CV] c1=0.8959434842130267, c2=0.07991492808431731 ...................
[CV]  c1=0.8959434842130267, c2=0.07991492808431731, score=0.689967 -   1.5s
[CV] c1=1.1036071584537614, c2=0.004832698000336474 ..................
[CV]  c1=1.1036071584537614, c2=0.004832698000336474, score=0.643171 -   1.4s
[CV] c1=0.06400498479163545, c2=0.07395543036308774 ..................
[CV]  c1=0.06400498479163545, c2=0.07395543036308774, score=0.771393 -   1.3s
[CV] c1=0.23822515334343866, c2=0.0073089588802022435 ................
[CV]  c1=0.23822515334343866, c2=0.0073089588802022435, score=0.861876 -   1.9s
[CV] c1=0.18080235454417473, c2=0.09152443615930815 ..................
[CV]  c1=0.18080235454417473, c2=0.09152443615930815, score=0.874878 -   1.9s
[CV] c1=2.0312089323051863, c2=0.022028454416833862 ..................
[CV]  c1=2.0312089323051863, c2=0.022028454416833862, score=0.832279 -   1.9s
[CV] c1=0.8436107078244206, c2=0.008384538223177437 ..................
[CV]  c1=0.8436107078244206, c2=0.008384538223177437, score=0.691146 -   1.5s
[CV] c1=3.091054183641738, c2=0.048979223941949424 ...................
[CV]  c1=3.091054183641738, c2=0.048979223941949424, score=0.780767 -   1.9s
[CV] c1=0.06860734833915752, c2=0.057411052632415915 .................
[CV]  c1=0.06860734833915752, c2=0.057411052632415915, score=0.894643 -   1.8s
[CV] c1=0.11173395979473531, c2=0.061456740042195514 .................
[CV]  c1=0.11173395979473531, c2=0.061456740042195514, score=0.887452 -   1.9s
[CV] c1=0.12930167544677296, c2=0.04912698379099523 ..................
[CV]  c1=0.12930167544677296, c2=0.04912698379099523, score=0.769155 -   1.5s
[CV] c1=1.702841416446845, c2=0.0003697215040674173 ..................
[CV]  c1=1.702841416446845, c2=0.0003697215040674173, score=0.668145 -   1.9s
[CV] c1=0.09024621104995595, c2=0.13605751388307927 ..................
[CV]  c1=0.09024621104995595, c2=0.13605751388307927, score=0.789991 -   1.8s
[CV] c1=0.3915903607090633, c2=0.13062366143367374 ...................
[CV]  c1=0.3915903607090633, c2=0.13062366143367374, score=0.755944 -   2.0s
[CV] c1=0.44307724855577135, c2=0.09424704456324767 ..................
[CV]  c1=0.44307724855577135, c2=0.09424704456324767, score=0.753571 -   1.7s
[CV] c1=0.3111527896857957, c2=0.015123913884909832 ..................
[CV]  c1=0.3111527896857957, c2=0.015123913884909832, score=0.837168 -   2.1s
[CV] c1=0.0958213150380074, c2=0.14986959138758757 ...................
[CV]  c1=0.0958213150380074, c2=0.14986959138758757, score=0.870917 -   1.9s
[CV] c1=0.1930217296350447, c2=0.0033833331768784885 .................
[CV]  c1=0.1930217296350447, c2=0.0033833331768784885, score=0.874370 -   1.8s
[CV] c1=0.006735045673433993, c2=0.004873536071917356 ................
[CV]  c1=0.006735045673433993, c2=0.004873536071917356, score=0.799516 -   1.5s
[CV] c1=1.4816689214858771, c2=0.11573053972223298 ...................
[CV]  c1=1.4816689214858771, c2=0.11573053972223298, score=0.621895 -   1.8s
[CV] c1=0.019923631337543463, c2=0.06508931877089857 .................
[CV]  c1=0.019923631337543463, c2=0.06508931877089857, score=0.855897 -   1.8s
[CV] c1=1.3378363391195855, c2=0.012376441676315299 ..................
[CV]  c1=1.3378363391195855, c2=0.012376441676315299, score=0.790749 -   1.7s
[CV] c1=1.1661591519903847, c2=0.0010700284892040867 .................
[CV]  c1=1.1661591519903847, c2=0.0010700284892040867, score=0.863470 -   1.8s
[CV] c1=0.43695104428081, c2=8.331857196397125e-05 ...................
[CV]  c1=0.43695104428081, c2=8.331857196397125e-05, score=0.734742 -   1.4s
[CV] c1=0.17031017540411958, c2=0.0011152827913327645 ................
[CV]  c1=0.17031017540411958, c2=0.0011152827913327645, score=0.792228 -   1.5s
[CV] c1=1.080091020087618, c2=0.023587711267843297 ...................
[CV]  c1=1.080091020087618, c2=0.023587711267843297, score=0.865590 -   1.9s
[CV] c1=0.2369988483489891, c2=0.033197497244113604 ..................
[CV]  c1=0.2369988483489891, c2=0.033197497244113604, score=0.796573 -   1.9s
[CV] c1=0.6827221379511497, c2=0.06120537758876942 ...................
[CV]  c1=0.6827221379511497, c2=0.06120537758876942, score=0.814284 -   1.4s
[CV] c1=0.2769585530132901, c2=0.06777559378737777 ...................
[CV]  c1=0.2769585530132901, c2=0.06777559378737777, score=0.746657 -   1.6s
[CV] c1=0.7857172009822545, c2=0.10426377287260913 ...................
[CV]  c1=0.7857172009822545, c2=0.10426377287260913, score=0.791354 -   1.9s
[CV] c1=0.6209072398598868, c2=0.041613162652634914 ..................
[CV]  c1=0.6209072398598868, c2=0.041613162652634914, score=0.697558 -   1.5s
[CV] c1=2.0312089323051863, c2=0.022028454416833862 ..................
[CV]  c1=2.0312089323051863, c2=0.022028454416833862, score=0.583868 -   1.9s
[CV] c1=0.8347798457821637, c2=0.041087817998413344 ..................
[CV]  c1=0.8347798457821637, c2=0.041087817998413344, score=0.870443 -   2.0s
[CV] c1=0.580810622612536, c2=0.02266615808767624 ....................
[CV]  c1=0.580810622612536, c2=0.02266615808767624, score=0.704055 -   1.5s
[CV] c1=0.06860734833915752, c2=0.057411052632415915 .................
[CV]  c1=0.06860734833915752, c2=0.057411052632415915, score=0.855897 -   1.8s
[CV] c1=0.18724939119033224, c2=0.07028675938046036 ..................
[CV]  c1=0.18724939119033224, c2=0.07028675938046036, score=0.906073 -   1.8s
[CV] c1=1.6047816802206634, c2=0.004496699008694158 ..................
[CV]  c1=1.6047816802206634, c2=0.004496699008694158, score=0.855161 -   2.0s
[CV] c1=1.6619159423907057, c2=0.04763381864492852 ...................
[CV]  c1=1.6619159423907057, c2=0.04763381864492852, score=0.740857 -   1.8s
[CV] c1=0.8370540828221822, c2=0.034418371238390685 ..................
[CV]  c1=0.8370540828221822, c2=0.034418371238390685, score=0.799696 -   1.8s
[CV] c1=0.2663586887125872, c2=0.05353797804102631 ...................
[CV]  c1=0.2663586887125872, c2=0.05353797804102631, score=0.852183 -   1.9s
[CV] c1=0.6827221379511497, c2=0.06120537758876942 ...................
[CV]  c1=0.6827221379511497, c2=0.06120537758876942, score=0.867374 -   1.3s
[CV] c1=0.06400498479163545, c2=0.07395543036308774 ..................
[CV]  c1=0.06400498479163545, c2=0.07395543036308774, score=0.878462 -   1.8s
[CV] c1=1.114223470350663, c2=0.005616677267409139 ...................
[CV]  c1=1.114223470350663, c2=0.005616677267409139, score=0.696098 -   1.9s
[CV] c1=0.6209072398598868, c2=0.041613162652634914 ..................
[CV]  c1=0.6209072398598868, c2=0.041613162652634914, score=0.728268 -   2.0s
[CV] c1=0.6430556680617049, c2=0.03309223890432422 ...................
[CV]  c1=0.6430556680617049, c2=0.03309223890432422, score=0.698533 -   1.5s
[CV] c1=0.8347798457821637, c2=0.041087817998413344 ..................
[CV]  c1=0.8347798457821637, c2=0.041087817998413344, score=0.697519 -   1.9s
[CV] c1=0.580810622612536, c2=0.02266615808767624 ....................
[CV]  c1=0.580810622612536, c2=0.02266615808767624, score=0.739317 -   2.0s
[CV] c1=0.5938502555082286, c2=0.01747010393579603 ...................
[CV]  c1=0.5938502555082286, c2=0.01747010393579603, score=0.700164 -   1.5s
[CV] c1=0.39760005081536615, c2=0.05056136522594278 ..................
[CV]  c1=0.39760005081536615, c2=0.05056136522594278, score=0.893097 -   1.9s
[CV] c1=1.5988399167322707, c2=0.0042027358324208675 .................
[CV]  c1=1.5988399167322707, c2=0.0042027358324208675, score=0.616944 -   1.9s
[CV] c1=0.13703240300224045, c2=0.04363893797688412 ..................
[CV]  c1=0.13703240300224045, c2=0.04363893797688412, score=0.854961 -   1.8s
[CV] c1=1.080091020087618, c2=0.023587711267843297 ...................
[CV]  c1=1.080091020087618, c2=0.023587711267843297, score=0.785172 -   1.8s
[CV] c1=0.2369988483489891, c2=0.033197497244113604 ..................
[CV]  c1=0.2369988483489891, c2=0.033197497244113604, score=0.870032 -   1.9s
[CV] c1=0.6827221379511497, c2=0.06120537758876942 ...................
[CV]  c1=0.6827221379511497, c2=0.06120537758876942, score=0.849094 -   1.3s
[CV] c1=0.1798029198603876, c2=0.019328673916692077 ..................
[CV]  c1=0.1798029198603876, c2=0.019328673916692077, score=0.906045 -   1.7s
[CV] c1=0.4018529810045174, c2=0.13952346944542024 ...................
[CV]  c1=0.4018529810045174, c2=0.13952346944542024, score=0.811651 -   1.9s
[CV] c1=1.3359523490857668, c2=0.06584604013046164 ...................
[CV]  c1=1.3359523490857668, c2=0.06584604013046164, score=0.655490 -   2.0s
[CV] c1=1.224475638565861, c2=0.006290373869744606 ...................
[CV]  c1=1.224475638565861, c2=0.006290373869744606, score=0.657530 -   1.5s
[CV] c1=0.8436107078244206, c2=0.008384538223177437 ..................
[CV]  c1=0.8436107078244206, c2=0.008384538223177437, score=0.873208 -   1.9s
[CV] c1=0.5417328795768078, c2=0.30724039255051294 ...................
[CV]  c1=0.5417328795768078, c2=0.30724039255051294, score=0.698025 -   2.0s
[CV] c1=0.8155010233984443, c2=0.013467005673318228 ..................
[CV]  c1=0.8155010233984443, c2=0.013467005673318228, score=0.889455 -   1.9s
[CV] c1=0.18724939119033224, c2=0.07028675938046036 ..................
[CV]  c1=0.18724939119033224, c2=0.07028675938046036, score=0.876044 -   1.9s
[CV] c1=1.5988399167322707, c2=0.0042027358324208675 .................
[CV]  c1=1.5988399167322707, c2=0.0042027358324208675, score=0.636723 -   1.6s
[CV] c1=1.6619159423907057, c2=0.04763381864492852 ...................
[CV]  c1=1.6619159423907057, c2=0.04763381864492852, score=0.852993 -   1.9s
[CV] c1=0.8370540828221822, c2=0.034418371238390685 ..................
[CV]  c1=0.8370540828221822, c2=0.034418371238390685, score=0.697072 -   1.9s
[CV] c1=0.2663586887125872, c2=0.05353797804102631 ...................
[CV]  c1=0.2663586887125872, c2=0.05353797804102631, score=0.787400 -   1.9s
[CV] c1=1.1036071584537614, c2=0.004832698000336474 ..................
[CV]  c1=1.1036071584537614, c2=0.004832698000336474, score=0.711631 -   1.3s
Training done in: 26.367502s
     Saving training model...
        Saving training model done in: 0.014034s
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Prediction done in: 0.045126s