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

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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: Run8
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: TrueS4: False
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: 0.003699s
-------------------------------- 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    word[: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
--------------------------- 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    word[:1]           d
11    word[:2]          de
12  postag[:1]           N
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
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.30907447747172656, c2=0.023928317344601307 .................
[CV]  c1=0.30907447747172656, c2=0.023928317344601307, score=0.730506 -   1.3s
[CV] c1=0.06269195153659522, c2=0.02414102222052615 ..................
[CV]  c1=0.06269195153659522, c2=0.02414102222052615, score=0.821138 -   1.8s
[CV] c1=0.22350755325113197, c2=0.008541821359089583 .................
[CV]  c1=0.22350755325113197, c2=0.008541821359089583, score=0.839211 -   1.7s
[CV] c1=0.32588601492627245, c2=0.11722226345233143 ..................
[CV]  c1=0.32588601492627245, c2=0.11722226345233143, score=0.889286 -   1.7s
[CV] c1=0.454882340986447, c2=0.02450121878106454 ....................
[CV]  c1=0.454882340986447, c2=0.02450121878106454, score=0.778904 -   1.8s
[CV] c1=0.6864146259764161, c2=0.0567036856624112 ....................
[CV]  c1=0.6864146259764161, c2=0.0567036856624112, score=0.849166 -   1.8s
[CV] c1=0.7013209428780669, c2=0.018231005371814168 ..................
[CV]  c1=0.7013209428780669, c2=0.018231005371814168, score=0.812888 -   1.7s
[CV] c1=0.18157454420080474, c2=0.03277327525396483 ..................
[CV]  c1=0.18157454420080474, c2=0.03277327525396483, score=0.849101 -   1.8s
[CV] c1=0.17466225614462152, c2=0.06734408579980643 ..................
[CV]  c1=0.17466225614462152, c2=0.06734408579980643, score=0.751481 -   1.4s
[CV] c1=0.6758016888609744, c2=0.04371937842626394 ...................
[CV]  c1=0.6758016888609744, c2=0.04371937842626394, score=0.716472 -   1.7s
[CV] c1=0.5315849408648722, c2=0.038391689380399885 ..................
[CV]  c1=0.5315849408648722, c2=0.038391689380399885, score=0.849536 -   1.8s
[CV] c1=0.983360609375531, c2=0.049736093122303864 ...................
[CV]  c1=0.983360609375531, c2=0.049736093122303864, score=0.690356 -   1.8s
[CV] c1=0.0854045909508558, c2=0.029406933211893405 ..................
[CV]  c1=0.0854045909508558, c2=0.029406933211893405, score=0.896513 -   1.7s
[CV] c1=0.3220129641283927, c2=0.0051658087479054884 .................
[CV]  c1=0.3220129641283927, c2=0.0051658087479054884, score=0.797835 -   1.7s
[CV] c1=0.921644074002704, c2=0.03870271141858492 ....................
[CV]  c1=0.921644074002704, c2=0.03870271141858492, score=0.659402 -   1.3s
[CV] c1=0.8831331977900425, c2=0.05726361155633827 ...................
[CV]  c1=0.8831331977900425, c2=0.05726361155633827, score=0.774824 -   1.6s
[CV] c1=1.1145856487943557, c2=0.014078709501618833 ..................
[CV]  c1=1.1145856487943557, c2=0.014078709501618833, score=0.856339 -   1.7s
[CV] c1=1.0098104937368322, c2=0.012207564567617603 ..................
[CV]  c1=1.0098104937368322, c2=0.012207564567617603, score=0.844023 -   1.7s
[CV] c1=0.5201183481253387, c2=0.034331864134467566 ..................
[CV]  c1=0.5201183481253387, c2=0.034331864134467566, score=0.738915 -   1.7s
[CV] c1=0.3754637806045998, c2=0.14686518905822063 ...................
[CV]  c1=0.3754637806045998, c2=0.14686518905822063, score=0.807755 -   1.7s
[CV] c1=1.2813930724223075, c2=0.1129329030227289 ....................
[CV]  c1=1.2813930724223075, c2=0.1129329030227289, score=0.617575 -   1.3s
[CV] c1=0.128117863747257, c2=0.06556871969804903 ....................
[CV]  c1=0.128117863747257, c2=0.06556871969804903, score=0.850208 -   1.6s
[CV] c1=1.015341897729087, c2=0.04089667932949482 ....................
[CV]  c1=1.015341897729087, c2=0.04089667932949482, score=0.675152 -   1.8s
[CV] c1=0.22086704524278317, c2=0.07374439478142887 ..................
[CV]  c1=0.22086704524278317, c2=0.07374439478142887, score=0.907658 -   1.7s
[CV] c1=1.0910339705916527, c2=0.0015445251629047354 .................
[CV]  c1=1.0910339705916527, c2=0.0015445251629047354, score=0.807376 -   1.7s
[CV] c1=0.5975782431482737, c2=0.06267475400970544 ...................
[CV]  c1=0.5975782431482737, c2=0.06267475400970544, score=0.843215 -   1.8s
[CV] c1=3.0362365883233786, c2=0.16195711479895836 ...................
[CV]  c1=3.0362365883233786, c2=0.16195711479895836, score=0.691331 -   1.7s
[CV] c1=0.682217828937717, c2=0.0075853698770203025 ..................
[CV]  c1=0.682217828937717, c2=0.0075853698770203025, score=0.729867 -   1.5s
[CV] c1=0.47285035646654655, c2=0.07635963777328524 ..................
[CV]  c1=0.47285035646654655, c2=0.07635963777328524, score=0.826443 -   1.6s
[CV] c1=0.5094603765571656, c2=0.005709538184492883 ..................
[CV]  c1=0.5094603765571656, c2=0.005709538184492883, score=0.842595 -   1.7s
[CV] c1=0.7734931512097741, c2=0.05461404740120414 ...................
[CV]  c1=0.7734931512097741, c2=0.05461404740120414, score=0.828115 -   1.8s
[CV] c1=0.3754637806045998, c2=0.14686518905822063 ...................
[CV]  c1=0.3754637806045998, c2=0.14686518905822063, score=0.784905 -   1.7s
[CV] c1=1.2813930724223075, c2=0.1129329030227289 ....................
[CV]  c1=1.2813930724223075, c2=0.1129329030227289, score=0.845542 -   1.6s
[CV] c1=0.3633267418055633, c2=0.005151167668600621 ..................
[CV]  c1=0.3633267418055633, c2=0.005151167668600621, score=0.907904 -   1.7s
[CV] c1=0.08110351891372349, c2=0.00712899472918412 ..................
[CV]  c1=0.08110351891372349, c2=0.00712899472918412, score=0.757096 -   1.4s
[CV] c1=0.983360609375531, c2=0.049736093122303864 ...................
[CV]  c1=0.983360609375531, c2=0.049736093122303864, score=0.729232 -   1.8s
[CV] c1=0.6577271004812487, c2=0.07902273735894555 ...................
[CV]  c1=0.6577271004812487, c2=0.07902273735894555, score=0.732684 -   1.7s
[CV] c1=0.03605135604567184, c2=0.018386034366729993 .................
[CV]  c1=0.03605135604567184, c2=0.018386034366729993, score=0.842002 -   1.7s
[CV] c1=0.46070470321389845, c2=0.005021863079182919 .................
[CV]  c1=0.46070470321389845, c2=0.005021863079182919, score=0.724010 -   1.3s
[CV] c1=0.1351272232849893, c2=0.04314889994485674 ...................
[CV]  c1=0.1351272232849893, c2=0.04314889994485674, score=0.901717 -   1.7s
[CV] c1=0.041299715661062955, c2=0.0005012635096362226 ...............
[CV]  c1=0.041299715661062955, c2=0.0005012635096362226, score=0.853691 -   1.7s
[CV] c1=0.20925834997572404, c2=0.012323610910229087 .................
[CV]  c1=0.20925834997572404, c2=0.012323610910229087, score=0.871475 -   1.7s
[CV] c1=0.16641733008068102, c2=0.010747052082532647 .................
[CV]  c1=0.16641733008068102, c2=0.010747052082532647, score=0.804109 -   1.7s
[CV] c1=0.07294238872989484, c2=0.05263306846343453 ..................
[CV]  c1=0.07294238872989484, c2=0.05263306846343453, score=0.857120 -   1.6s
[CV] c1=0.9276703417659525, c2=0.020952721549370636 ..................
[CV]  c1=0.9276703417659525, c2=0.020952721549370636, score=0.863283 -   1.7s
[CV] c1=1.425475804686867, c2=0.06274113308499826 ....................
[CV]  c1=1.425475804686867, c2=0.06274113308499826, score=0.611941 -   1.3s
[CV] c1=0.08110351891372349, c2=0.00712899472918412 ..................
[CV]  c1=0.08110351891372349, c2=0.00712899472918412, score=0.885628 -   1.4s
[CV] c1=0.10665350459686641, c2=0.032631603022889 ....................
[CV]  c1=0.10665350459686641, c2=0.032631603022889, score=0.901717 -   1.7s
[CV] c1=0.10925962829559999, c2=0.03816665136285388 ..................
[CV]  c1=0.10925962829559999, c2=0.03816665136285388, score=0.810739 -   1.7s
[CV] c1=0.06909256986662918, c2=0.015940529762311407 .................
[CV]  c1=0.06909256986662918, c2=0.015940529762311407, score=0.884188 -   1.8s
[CV] c1=0.5196918897115733, c2=0.06035572056831539 ...................
[CV]  c1=0.5196918897115733, c2=0.06035572056831539, score=0.741076 -   1.8s
[CV] c1=0.1351272232849893, c2=0.04314889994485674 ...................
[CV]  c1=0.1351272232849893, c2=0.04314889994485674, score=0.833052 -   1.7s
[CV] c1=0.008507703540712145, c2=0.18250320463990857 .................
[CV]  c1=0.008507703540712145, c2=0.18250320463990857, score=0.742304 -   1.4s
[CV] c1=0.20925834997572404, c2=0.012323610910229087 .................
[CV]  c1=0.20925834997572404, c2=0.012323610910229087, score=0.807908 -   1.6s
[CV] c1=0.06356185498910193, c2=0.1829925917194241 ...................
[CV]  c1=0.06356185498910193, c2=0.1829925917194241, score=0.807056 -   1.7s
[CV] c1=0.9507725316909235, c2=0.014520447598183646 ..................
[CV]  c1=0.9507725316909235, c2=0.014520447598183646, score=0.713619 -   1.3s
[CV] c1=0.08878945687097717, c2=0.001827166093833476 .................
[CV]  c1=0.08878945687097717, c2=0.001827166093833476, score=0.855928 -   1.6s
[CV] c1=0.55426054739652, c2=0.0307284654347124 ......................
[CV]  c1=0.55426054739652, c2=0.0307284654347124, score=0.843215 -   1.8s
[CV] c1=0.08110351891372349, c2=0.00712899472918412 ..................
[CV]  c1=0.08110351891372349, c2=0.00712899472918412, score=0.802342 -   1.7s
[CV] c1=0.28720135087593274, c2=0.025119060946909195 .................
[CV]  c1=0.28720135087593274, c2=0.025119060946909195, score=0.898256 -   1.6s
[CV] c1=0.30907447747172656, c2=0.023928317344601307 .................
[CV]  c1=0.30907447747172656, c2=0.023928317344601307, score=0.850010 -   1.3s
[CV] c1=0.06269195153659522, c2=0.02414102222052615 ..................
[CV]  c1=0.06269195153659522, c2=0.02414102222052615, score=0.849677 -   1.7s
[CV] c1=0.09847780677081341, c2=0.07786383770375328 ..................
[CV]  c1=0.09847780677081341, c2=0.07786383770375328, score=0.748423 -   1.4s
[CV] c1=0.46070470321389845, c2=0.005021863079182919 .................
[CV]  c1=0.46070470321389845, c2=0.005021863079182919, score=0.786955 -   1.8s
[CV] c1=0.02465161354481698, c2=0.001189469543410054 .................
[CV]  c1=0.02465161354481698, c2=0.001189469543410054, score=0.823149 -   1.7s
[CV] c1=0.6864146259764161, c2=0.0567036856624112 ....................
[CV]  c1=0.6864146259764161, c2=0.0567036856624112, score=0.868951 -   1.6s
[CV] c1=0.3752075491733343, c2=0.007969364218791866 ..................
[CV]  c1=0.3752075491733343, c2=0.007969364218791866, score=0.730632 -   1.4s
[CV] c1=0.16641733008068102, c2=0.010747052082532647 .................
[CV]  c1=0.16641733008068102, c2=0.010747052082532647, score=0.852998 -   1.7s
[CV] c1=0.2912516879970469, c2=0.22318372592380725 ...................
[CV]  c1=0.2912516879970469, c2=0.22318372592380725, score=0.877468 -   1.7s
[CV] c1=0.18674064830376583, c2=0.0592501405206137 ...................
[CV]  c1=0.18674064830376583, c2=0.0592501405206137, score=0.753407 -   1.4s
[CV] c1=1.425475804686867, c2=0.06274113308499826 ....................
[CV]  c1=1.425475804686867, c2=0.06274113308499826, score=0.833581 -   1.7s
[CV] c1=0.40481738708407083, c2=0.020315030374605855 .................
[CV]  c1=0.40481738708407083, c2=0.020315030374605855, score=0.726983 -   1.4s
[CV] c1=0.28720135087593274, c2=0.025119060946909195 .................
[CV]  c1=0.28720135087593274, c2=0.025119060946909195, score=0.801518 -   1.7s
[CV] c1=0.6577271004812487, c2=0.07902273735894555 ...................
[CV]  c1=0.6577271004812487, c2=0.07902273735894555, score=0.725424 -   1.4s
[CV] c1=0.3220129641283927, c2=0.0051658087479054884 .................
[CV]  c1=0.3220129641283927, c2=0.0051658087479054884, score=0.853194 -   1.7s
[CV] c1=0.921644074002704, c2=0.03870271141858492 ....................
[CV]  c1=0.921644074002704, c2=0.03870271141858492, score=0.696094 -   1.7s
[CV] c1=0.22750557309399352, c2=0.024337622448941047 .................
[CV]  c1=0.22750557309399352, c2=0.024337622448941047, score=0.853194 -   1.8s
[CV] c1=0.041299715661062955, c2=0.0005012635096362226 ...............
[CV]  c1=0.041299715661062955, c2=0.0005012635096362226, score=0.821063 -   1.6s
[CV] c1=0.24928858683843744, c2=0.03613260129292019 ..................
[CV]  c1=0.24928858683843744, c2=0.03613260129292019, score=0.847803 -   1.6s
[CV] c1=0.16641733008068102, c2=0.010747052082532647 .................
[CV]  c1=0.16641733008068102, c2=0.010747052082532647, score=0.862245 -   1.5s
[CV] c1=0.9507725316909235, c2=0.014520447598183646 ..................
[CV]  c1=0.9507725316909235, c2=0.014520447598183646, score=0.729508 -   1.7s
[CV] c1=0.9276703417659525, c2=0.020952721549370636 ..................
[CV]  c1=0.9276703417659525, c2=0.020952721549370636, score=0.684158 -   1.8s
[CV] c1=0.6696477504640892, c2=0.03403303749530521 ...................
[CV]  c1=0.6696477504640892, c2=0.03403303749530521, score=0.731498 -   1.4s
[CV] c1=0.1133411080042633, c2=0.04322318126554301 ...................
[CV]  c1=0.1133411080042633, c2=0.04322318126554301, score=0.862308 -   1.7s
[CV] c1=0.3132725319074205, c2=0.006395546324791036 ..................
[CV]  c1=0.3132725319074205, c2=0.006395546324791036, score=0.731510 -   1.3s
[CV] c1=0.0854045909508558, c2=0.029406933211893405 ..................
[CV]  c1=0.0854045909508558, c2=0.029406933211893405, score=0.850208 -   1.7s
[CV] c1=0.06909256986662918, c2=0.015940529762311407 .................
[CV]  c1=0.06909256986662918, c2=0.015940529762311407, score=0.896153 -   1.7s
[CV] c1=0.921644074002704, c2=0.03870271141858492 ....................
[CV]  c1=0.921644074002704, c2=0.03870271141858492, score=0.797494 -   1.6s
[CV] c1=0.22750557309399352, c2=0.024337622448941047 .................
[CV]  c1=0.22750557309399352, c2=0.024337622448941047, score=0.804109 -   1.7s
[CV] c1=0.3749981789448317, c2=0.04527780504054888 ...................
[CV]  c1=0.3749981789448317, c2=0.04527780504054888, score=0.843762 -   1.7s
[CV] c1=0.24928858683843744, c2=0.03613260129292019 ..................
[CV]  c1=0.24928858683843744, c2=0.03613260129292019, score=0.901717 -   1.7s
[CV] c1=0.16641733008068102, c2=0.010747052082532647 .................
[CV]  c1=0.16641733008068102, c2=0.010747052082532647, score=0.733090 -   1.3s
[CV] c1=0.8604842904688186, c2=0.07342625891147354 ...................
[CV]  c1=0.8604842904688186, c2=0.07342625891147354, score=0.709132 -   1.8s
[CV] c1=0.49656144158042836, c2=0.10726512689849046 ..................
[CV]  c1=0.49656144158042836, c2=0.10726512689849046, score=0.871728 -   1.7s
[CV] c1=1.1172382820030677, c2=0.04394528599215233 ...................
[CV]  c1=1.1172382820030677, c2=0.04394528599215233, score=0.649609 -   1.3s
[CV] c1=0.11130889418534705, c2=0.0004862955936863921 ................
[CV]  c1=0.11130889418534705, c2=0.0004862955936863921, score=0.820822 -   1.7s
[CV] c1=0.22086704524278317, c2=0.07374439478142887 ..................
[CV]  c1=0.22086704524278317, c2=0.07374439478142887, score=0.786539 -   1.8s
[CV] c1=0.30907447747172656, c2=0.023928317344601307 .................
[CV]  c1=0.30907447747172656, c2=0.023928317344601307, score=0.798142 -   1.6s
[CV] c1=0.06416779578754328, c2=0.03982465175698459 ..................
[CV]  c1=0.06416779578754328, c2=0.03982465175698459, score=0.821138 -   1.7s
[CV] c1=0.4077912605187425, c2=0.003794960107081332 ..................
[CV]  c1=0.4077912605187425, c2=0.003794960107081332, score=0.862189 -   1.8s
[CV] c1=1.6301253345259528, c2=0.056810199491754136 ..................
[CV]  c1=1.6301253345259528, c2=0.056810199491754136, score=0.764992 -   1.7s
[CV] c1=0.47285035646654655, c2=0.07635963777328524 ..................
[CV]  c1=0.47285035646654655, c2=0.07635963777328524, score=0.858103 -   1.8s
[CV] c1=1.0098104937368322, c2=0.012207564567617603 ..................
[CV]  c1=1.0098104937368322, c2=0.012207564567617603, score=0.792098 -   1.7s
[CV] c1=1.327425384681526, c2=0.01590468403135274 ....................
[CV]  c1=1.327425384681526, c2=0.01590468403135274, score=0.633341 -   1.7s
[CV] c1=0.9507725316909235, c2=0.014520447598183646 ..................
[CV]  c1=0.9507725316909235, c2=0.014520447598183646, score=0.855423 -   1.7s
[CV] c1=0.49656144158042836, c2=0.10726512689849046 ..................
[CV]  c1=0.49656144158042836, c2=0.10726512689849046, score=0.728114 -   1.4s
[CV] c1=0.3633267418055633, c2=0.005151167668600621 ..................
[CV]  c1=0.3633267418055633, c2=0.005151167668600621, score=0.727859 -   1.4s
[CV] c1=1.015341897729087, c2=0.04089667932949482 ....................
[CV]  c1=1.015341897729087, c2=0.04089667932949482, score=0.729232 -   1.8s
[CV] c1=0.22086704524278317, c2=0.07374439478142887 ..................
[CV]  c1=0.22086704524278317, c2=0.07374439478142887, score=0.850208 -   1.7s
[CV] c1=0.14860797973846873, c2=0.012876297265148374 .................
[CV]  c1=0.14860797973846873, c2=0.012876297265148374, score=0.897146 -   1.4s
[CV] c1=1.0481222139908468, c2=0.1736625840686935 ....................
[CV]  c1=1.0481222139908468, c2=0.1736625840686935, score=0.626352 -   1.8s
[CV] c1=0.028577545565283986, c2=0.005197023254551811 ................
[CV]  c1=0.028577545565283986, c2=0.005197023254551811, score=0.862964 -   1.8s
[CV] c1=1.6301253345259528, c2=0.056810199491754136 ..................
[CV]  c1=1.6301253345259528, c2=0.056810199491754136, score=0.639889 -   2.0s
[CV] c1=0.17499782340015588, c2=0.027854268598162476 .................
[CV]  c1=0.17499782340015588, c2=0.027854268598162476, score=0.847803 -   1.6s
[CV] c1=0.6081999055809885, c2=0.02398094863890962 ...................
[CV]  c1=0.6081999055809885, c2=0.02398094863890962, score=0.805907 -   1.7s
[CV] c1=1.327425384681526, c2=0.01590468403135274 ....................
[CV]  c1=1.327425384681526, c2=0.01590468403135274, score=0.751240 -   1.6s
[CV] c1=0.8604842904688186, c2=0.07342625891147354 ...................
[CV]  c1=0.8604842904688186, c2=0.07342625891147354, score=0.793034 -   1.8s
[CV] c1=0.49656144158042836, c2=0.10726512689849046 ..................
[CV]  c1=0.49656144158042836, c2=0.10726512689849046, score=0.813025 -   1.7s
[CV] c1=1.1172382820030677, c2=0.04394528599215233 ...................
[CV]  c1=1.1172382820030677, c2=0.04394528599215233, score=0.700144 -   1.9s
[CV] c1=0.40481738708407083, c2=0.020315030374605855 .................
[CV]  c1=0.40481738708407083, c2=0.020315030374605855, score=0.845517 -   1.8s
[CV] c1=0.07390821378695307, c2=0.07265803288977052 ..................
[CV]  c1=0.07390821378695307, c2=0.07265803288977052, score=0.752179 -   1.3s
[CV] c1=1.4371599981475116, c2=0.02315471789190582 ...................
[CV]  c1=1.4371599981475116, c2=0.02315471789190582, score=0.631237 -   1.6s
[CV] c1=1.0481222139908468, c2=0.1736625840686935 ....................
[CV]  c1=1.0481222139908468, c2=0.1736625840686935, score=0.765741 -   1.6s
[CV] c1=0.09847780677081341, c2=0.07786383770375328 ..................
[CV]  c1=0.09847780677081341, c2=0.07786383770375328, score=0.852159 -   1.7s
[CV] c1=0.32588601492627245, c2=0.11722226345233143 ..................
[CV]  c1=0.32588601492627245, c2=0.11722226345233143, score=0.840841 -   1.8s
[CV] c1=0.009822796847247265, c2=0.08102328515737087 .................
[CV]  c1=0.009822796847247265, c2=0.08102328515737087, score=0.818706 -   1.8s
[CV] c1=0.5094603765571656, c2=0.005709538184492883 ..................
[CV]  c1=0.5094603765571656, c2=0.005709538184492883, score=0.897985 -   1.7s
[CV] c1=0.7734931512097741, c2=0.05461404740120414 ...................
[CV]  c1=0.7734931512097741, c2=0.05461404740120414, score=0.874437 -   1.8s
[CV] c1=0.14848166085734252, c2=0.04192612828902841 ..................
[CV]  c1=0.14848166085734252, c2=0.04192612828902841, score=0.906495 -   1.7s
[CV] c1=0.17466225614462152, c2=0.06734408579980643 ..................
[CV]  c1=0.17466225614462152, c2=0.06734408579980643, score=0.850208 -   1.7s
[CV] c1=0.128117863747257, c2=0.06556871969804903 ....................
[CV]  c1=0.128117863747257, c2=0.06556871969804903, score=0.814807 -   1.8s
[CV] c1=0.11130889418534705, c2=0.0004862955936863921 ................
[CV]  c1=0.11130889418534705, c2=0.0004862955936863921, score=0.883146 -   1.8s
[CV] c1=0.10665350459686641, c2=0.032631603022889 ....................
[CV]  c1=0.10665350459686641, c2=0.032631603022889, score=0.877521 -   1.7s
[CV] c1=0.14860797973846873, c2=0.012876297265148374 .................
[CV]  c1=0.14860797973846873, c2=0.012876297265148374, score=0.745766 -   1.4s
[CV] c1=1.0481222139908468, c2=0.1736625840686935 ....................
[CV]  c1=1.0481222139908468, c2=0.1736625840686935, score=0.842151 -   1.7s
[CV] c1=0.09847780677081341, c2=0.07786383770375328 ..................
[CV]  c1=0.09847780677081341, c2=0.07786383770375328, score=0.810739 -   1.8s
[CV] c1=0.4651317393671726, c2=0.009043741389851359 ..................
[CV]  c1=0.4651317393671726, c2=0.009043741389851359, score=0.893746 -   1.8s
[CV] c1=0.009822796847247265, c2=0.08102328515737087 .................
[CV]  c1=0.009822796847247265, c2=0.08102328515737087, score=0.746792 -   1.4s
[CV] c1=0.6864146259764161, c2=0.0567036856624112 ....................
[CV]  c1=0.6864146259764161, c2=0.0567036856624112, score=0.719807 -   1.4s
[CV] c1=0.1189533389988654, c2=0.004796987901246952 ..................
[CV]  c1=0.1189533389988654, c2=0.004796987901246952, score=0.739766 -   1.4s
[CV] c1=0.06356185498910193, c2=0.1829925917194241 ...................
[CV]  c1=0.06356185498910193, c2=0.1829925917194241, score=0.854407 -   1.7s
[CV] c1=0.9507725316909235, c2=0.014520447598183646 ..................
[CV]  c1=0.9507725316909235, c2=0.014520447598183646, score=0.681825 -   1.8s
[CV] c1=0.9276703417659525, c2=0.020952721549370636 ..................
[CV]  c1=0.9276703417659525, c2=0.020952721549370636, score=0.680546 -   1.3s
[CV] c1=0.3633267418055633, c2=0.005151167668600621 ..................
[CV]  c1=0.3633267418055633, c2=0.005151167668600621, score=0.871475 -   1.8s
[CV] c1=0.1133411080042633, c2=0.04322318126554301 ...................
[CV]  c1=0.1133411080042633, c2=0.04322318126554301, score=0.850208 -   1.6s
[CV] c1=0.28720135087593274, c2=0.025119060946909195 .................
[CV]  c1=0.28720135087593274, c2=0.025119060946909195, score=0.821127 -   1.6s
[CV] c1=0.10925962829559999, c2=0.03816665136285388 ..................
[CV]  c1=0.10925962829559999, c2=0.03816665136285388, score=0.896513 -   1.6s
[CV] c1=0.06909256986662918, c2=0.015940529762311407 .................
[CV]  c1=0.06909256986662918, c2=0.015940529762311407, score=0.764679 -   1.4s
[CV] c1=0.13700843758766526, c2=0.038124329444797045 .................
[CV]  c1=0.13700843758766526, c2=0.038124329444797045, score=0.865956 -   1.7s
[CV] c1=0.682217828937717, c2=0.0075853698770203025 ..................
[CV]  c1=0.682217828937717, c2=0.0075853698770203025, score=0.877512 -   1.7s
[CV] c1=1.1145856487943557, c2=0.014078709501618833 ..................
[CV]  c1=1.1145856487943557, c2=0.014078709501618833, score=0.725263 -   1.7s
[CV] c1=0.6081999055809885, c2=0.02398094863890962 ...................
[CV]  c1=0.6081999055809885, c2=0.02398094863890962, score=0.718783 -   1.3s
[CV] c1=0.7734931512097741, c2=0.05461404740120414 ...................
[CV]  c1=0.7734931512097741, c2=0.05461404740120414, score=0.791968 -   1.6s
[CV] c1=0.14848166085734252, c2=0.04192612828902841 ..................
[CV]  c1=0.14848166085734252, c2=0.04192612828902841, score=0.868375 -   1.8s
[CV] c1=0.08878945687097717, c2=0.001827166093833476 .................
[CV]  c1=0.08878945687097717, c2=0.001827166093833476, score=0.883146 -   1.7s
[CV] c1=0.3633267418055633, c2=0.005151167668600621 ..................
[CV]  c1=0.3633267418055633, c2=0.005151167668600621, score=0.798142 -   1.7s
[CV] c1=0.08110351891372349, c2=0.00712899472918412 ..................
[CV]  c1=0.08110351891372349, c2=0.00712899472918412, score=0.862245 -   1.6s
[CV] c1=0.10665350459686641, c2=0.032631603022889 ....................
[CV]  c1=0.10665350459686641, c2=0.032631603022889, score=0.856458 -   1.6s
[CV] c1=1.4371599981475116, c2=0.02315471789190582 ...................
[CV]  c1=1.4371599981475116, c2=0.02315471789190582, score=0.778025 -   1.4s
[CV] c1=0.06269195153659522, c2=0.02414102222052615 ..................
[CV]  c1=0.06269195153659522, c2=0.02414102222052615, score=0.856458 -   1.6s
[CV] c1=0.22350755325113197, c2=0.008541821359089583 .................
[CV]  c1=0.22350755325113197, c2=0.008541821359089583, score=0.858217 -   1.6s
[CV] c1=0.46070470321389845, c2=0.005021863079182919 .................
[CV]  c1=0.46070470321389845, c2=0.005021863079182919, score=0.856812 -   1.8s
[CV] c1=0.454882340986447, c2=0.02450121878106454 ....................
[CV]  c1=0.454882340986447, c2=0.02450121878106454, score=0.900052 -   1.7s
[CV] c1=0.6864146259764161, c2=0.0567036856624112 ....................
[CV]  c1=0.6864146259764161, c2=0.0567036856624112, score=0.718852 -   1.8s
[CV] c1=0.7013209428780669, c2=0.018231005371814168 ..................
[CV]  c1=0.7013209428780669, c2=0.018231005371814168, score=0.889286 -   1.8s
[CV] c1=0.18157454420080474, c2=0.03277327525396483 ..................
[CV]  c1=0.18157454420080474, c2=0.03277327525396483, score=0.810739 -   1.8s
[CV] c1=0.17466225614462152, c2=0.06734408579980643 ..................
[CV]  c1=0.17466225614462152, c2=0.06734408579980643, score=0.902104 -   1.8s
[CV] c1=0.128117863747257, c2=0.06556871969804903 ....................
[CV]  c1=0.128117863747257, c2=0.06556871969804903, score=0.812633 -   1.8s
[CV] c1=0.11130889418534705, c2=0.0004862955936863921 ................
[CV]  c1=0.11130889418534705, c2=0.0004862955936863921, score=0.883252 -   1.7s
[CV] c1=0.22086704524278317, c2=0.07374439478142887 ..................
[CV]  c1=0.22086704524278317, c2=0.07374439478142887, score=0.804667 -   1.8s
[CV] c1=0.14860797973846873, c2=0.012876297265148374 .................
[CV]  c1=0.14860797973846873, c2=0.012876297265148374, score=0.875059 -   1.7s
[CV] c1=0.5975782431482737, c2=0.06267475400970544 ...................
[CV]  c1=0.5975782431482737, c2=0.06267475400970544, score=0.882214 -   1.7s
[CV] c1=0.13700843758766526, c2=0.038124329444797045 .................
[CV]  c1=0.13700843758766526, c2=0.038124329444797045, score=0.810739 -   1.7s
[CV] c1=0.8831331977900425, c2=0.05726361155633827 ...................
[CV]  c1=0.8831331977900425, c2=0.05726361155633827, score=0.793034 -   1.8s
[CV] c1=0.17499782340015588, c2=0.027854268598162476 .................
[CV]  c1=0.17499782340015588, c2=0.027854268598162476, score=0.830304 -   1.8s
[CV] c1=0.20925834997572404, c2=0.012323610910229087 .................
[CV]  c1=0.20925834997572404, c2=0.012323610910229087, score=0.745823 -   1.3s
[CV] c1=0.5201183481253387, c2=0.034331864134467566 ..................
[CV]  c1=0.5201183481253387, c2=0.034331864134467566, score=0.851886 -   1.8s
[CV] c1=0.8604842904688186, c2=0.07342625891147354 ...................
[CV]  c1=0.8604842904688186, c2=0.07342625891147354, score=0.791968 -   1.6s
[CV] c1=1.2813930724223075, c2=0.1129329030227289 ....................
[CV]  c1=1.2813930724223075, c2=0.1129329030227289, score=0.770511 -   1.6s
[CV] c1=0.3633267418055633, c2=0.005151167668600621 ..................
[CV]  c1=0.3633267418055633, c2=0.005151167668600621, score=0.850233 -   1.7s
[CV] c1=0.1133411080042633, c2=0.04322318126554301 ...................
[CV]  c1=0.1133411080042633, c2=0.04322318126554301, score=0.901717 -   1.7s
[CV] c1=0.28720135087593274, c2=0.025119060946909195 .................
[CV]  c1=0.28720135087593274, c2=0.025119060946909195, score=0.741955 -   1.3s
[CV] c1=0.10925962829559999, c2=0.03816665136285388 ..................
[CV]  c1=0.10925962829559999, c2=0.03816665136285388, score=0.829404 -   1.7s
[CV] c1=0.03605135604567184, c2=0.018386034366729993 .................
[CV]  c1=0.03605135604567184, c2=0.018386034366729993, score=0.783234 -   1.4s
[CV] c1=3.0362365883233786, c2=0.16195711479895836 ...................
[CV]  c1=3.0362365883233786, c2=0.16195711479895836, score=0.606293 -   1.7s
[CV] c1=0.682217828937717, c2=0.0075853698770203025 ..................
[CV]  c1=0.682217828937717, c2=0.0075853698770203025, score=0.847904 -   1.7s
[CV] c1=0.3749981789448317, c2=0.04527780504054888 ...................
[CV]  c1=0.3749981789448317, c2=0.04527780504054888, score=0.729561 -   1.4s
[CV] c1=0.6081999055809885, c2=0.02398094863890962 ...................
[CV]  c1=0.6081999055809885, c2=0.02398094863890962, score=0.888629 -   1.6s
[CV] c1=1.327425384681526, c2=0.01590468403135274 ....................
[CV]  c1=1.327425384681526, c2=0.01590468403135274, score=0.844950 -   1.7s
[CV] c1=0.8604842904688186, c2=0.07342625891147354 ...................
[CV]  c1=0.8604842904688186, c2=0.07342625891147354, score=0.663395 -   1.3s
[CV] c1=0.17466225614462152, c2=0.06734408579980643 ..................
[CV]  c1=0.17466225614462152, c2=0.06734408579980643, score=0.808350 -   1.8s
[CV] c1=0.55426054739652, c2=0.0307284654347124 ......................
[CV]  c1=0.55426054739652, c2=0.0307284654347124, score=0.733680 -   1.8s
[CV] c1=0.08110351891372349, c2=0.00712899472918412 ..................
[CV]  c1=0.08110351891372349, c2=0.00712899472918412, score=0.890569 -   1.7s
[CV] c1=0.10665350459686641, c2=0.032631603022889 ....................
[CV]  c1=0.10665350459686641, c2=0.032631603022889, score=0.813172 -   1.7s
[CV] c1=0.14860797973846873, c2=0.012876297265148374 .................
[CV]  c1=0.14860797973846873, c2=0.012876297265148374, score=0.862245 -   1.6s
[CV] c1=0.31142464170648837, c2=0.0193904903916281 ...................
[CV]  c1=0.31142464170648837, c2=0.0193904903916281, score=0.898256 -   1.7s
[CV] c1=0.028577545565283986, c2=0.005197023254551811 ................
[CV]  c1=0.028577545565283986, c2=0.005197023254551811, score=0.807582 -   1.8s
[CV] c1=0.8831331977900425, c2=0.05726361155633827 ...................
[CV]  c1=0.8831331977900425, c2=0.05726361155633827, score=0.868904 -   1.8s
[CV] c1=0.17499782340015588, c2=0.027854268598162476 .................
[CV]  c1=0.17499782340015588, c2=0.027854268598162476, score=0.891905 -   1.7s
[CV] c1=0.6081999055809885, c2=0.02398094863890962 ...................
[CV]  c1=0.6081999055809885, c2=0.02398094863890962, score=0.734570 -   1.7s
[CV] c1=1.327425384681526, c2=0.01590468403135274 ....................
[CV]  c1=1.327425384681526, c2=0.01590468403135274, score=0.694853 -   2.0s
[CV] c1=0.07294238872989484, c2=0.05263306846343453 ..................
[CV]  c1=0.07294238872989484, c2=0.05263306846343453, score=0.810739 -   1.7s
[CV] c1=0.9276703417659525, c2=0.020952721549370636 ..................
[CV]  c1=0.9276703417659525, c2=0.020952721549370636, score=0.795084 -   1.7s
[CV] c1=0.6696477504640892, c2=0.03403303749530521 ...................
[CV]  c1=0.6696477504640892, c2=0.03403303749530521, score=0.884726 -   1.7s
[CV] c1=0.11855313303257412, c2=0.00898301794090073 ..................
[CV]  c1=0.11855313303257412, c2=0.00898301794090073, score=0.761768 -   1.4s
[CV] c1=0.3132725319074205, c2=0.006395546324791036 ..................
[CV]  c1=0.3132725319074205, c2=0.006395546324791036, score=0.898256 -   1.7s
[CV] c1=0.14393801756856658, c2=0.0017294529033618378 ................
[CV]  c1=0.14393801756856658, c2=0.0017294529033618378, score=0.856582 -   1.7s
[CV] c1=0.5975782431482737, c2=0.06267475400970544 ...................
[CV]  c1=0.5975782431482737, c2=0.06267475400970544, score=0.736598 -   1.9s
[CV] c1=3.0362365883233786, c2=0.16195711479895836 ...................
[CV]  c1=3.0362365883233786, c2=0.16195711479895836, score=0.598222 -   1.7s
[CV] c1=0.682217828937717, c2=0.0075853698770203025 ..................
[CV]  c1=0.682217828937717, c2=0.0075853698770203025, score=0.734570 -   1.8s
[CV] c1=0.3749981789448317, c2=0.04527780504054888 ...................
[CV]  c1=0.3749981789448317, c2=0.04527780504054888, score=0.901989 -   1.9s
[CV] c1=0.24928858683843744, c2=0.03613260129292019 ..................
[CV]  c1=0.24928858683843744, c2=0.03613260129292019, score=0.804416 -   1.7s
[CV] c1=0.4598461497136479, c2=0.011943374151125528 ..................
[CV]  c1=0.4598461497136479, c2=0.011943374151125528, score=0.893746 -   1.7s
[CV] c1=0.2912516879970469, c2=0.22318372592380725 ...................
[CV]  c1=0.2912516879970469, c2=0.22318372592380725, score=0.721128 -   1.4s
[CV] c1=0.49656144158042836, c2=0.10726512689849046 ..................
[CV]  c1=0.49656144158042836, c2=0.10726512689849046, score=0.839754 -   1.8s
[CV] c1=1.425475804686867, c2=0.06274113308499826 ....................
[CV]  c1=1.425475804686867, c2=0.06274113308499826, score=0.631237 -   1.8s
[CV] c1=0.11855313303257412, c2=0.00898301794090073 ..................
[CV]  c1=0.11855313303257412, c2=0.00898301794090073, score=0.896513 -   1.8s
[CV] c1=0.07390821378695307, c2=0.07265803288977052 ..................
[CV]  c1=0.07390821378695307, c2=0.07265803288977052, score=0.816317 -   1.4s
[CV] c1=0.14393801756856658, c2=0.0017294529033618378 ................
[CV]  c1=0.14393801756856658, c2=0.0017294529033618378, score=0.810499 -   1.7s
[CV] c1=0.5975782431482737, c2=0.06267475400970544 ...................
[CV]  c1=0.5975782431482737, c2=0.06267475400970544, score=0.734138 -   1.4s
[CV] c1=0.4077912605187425, c2=0.003794960107081332 ..................
[CV]  c1=0.4077912605187425, c2=0.003794960107081332, score=0.888197 -   1.7s
[CV] c1=0.4651317393671726, c2=0.009043741389851359 ..................
[CV]  c1=0.4651317393671726, c2=0.009043741389851359, score=0.842864 -   1.7s
[CV] c1=0.009822796847247265, c2=0.08102328515737087 .................
[CV]  c1=0.009822796847247265, c2=0.08102328515737087, score=0.794611 -   1.7s
[CV] c1=0.5094603765571656, c2=0.005709538184492883 ..................
[CV]  c1=0.5094603765571656, c2=0.005709538184492883, score=0.714587 -   1.3s
[CV] c1=0.3752075491733343, c2=0.007969364218791866 ..................
[CV]  c1=0.3752075491733343, c2=0.007969364218791866, score=0.862189 -   1.8s
[CV] c1=0.18157454420080474, c2=0.03277327525396483 ..................
[CV]  c1=0.18157454420080474, c2=0.03277327525396483, score=0.747055 -   1.3s
[CV] c1=0.3628495292551351, c2=0.08573846026082745 ...................
[CV]  c1=0.3628495292551351, c2=0.08573846026082745, score=0.893500 -   1.7s
[CV] c1=0.2712394747863214, c2=0.04003909142875059 ...................
[CV]  c1=0.2712394747863214, c2=0.04003909142875059, score=0.754989 -   1.4s
[CV] c1=1.425475804686867, c2=0.06274113308499826 ....................
[CV]  c1=1.425475804686867, c2=0.06274113308499826, score=0.770511 -   1.6s
[CV] c1=0.40481738708407083, c2=0.020315030374605855 .................
[CV]  c1=0.40481738708407083, c2=0.020315030374605855, score=0.781261 -   1.8s
[CV] c1=0.3132725319074205, c2=0.006395546324791036 ..................
[CV]  c1=0.3132725319074205, c2=0.006395546324791036, score=0.871475 -   1.5s
[CV] c1=1.0910339705916527, c2=0.0015445251629047354 .................
[CV]  c1=1.0910339705916527, c2=0.0015445251629047354, score=0.858172 -   1.4s
[CV] c1=0.31142464170648837, c2=0.0193904903916281 ...................
[CV]  c1=0.31142464170648837, c2=0.0193904903916281, score=0.728582 -   1.4s
[CV] c1=0.09847780677081341, c2=0.07786383770375328 ..................
[CV]  c1=0.09847780677081341, c2=0.07786383770375328, score=0.823928 -   1.7s
[CV] c1=0.4651317393671726, c2=0.009043741389851359 ..................
[CV]  c1=0.4651317393671726, c2=0.009043741389851359, score=0.728970 -   1.4s
[CV] c1=0.454882340986447, c2=0.02450121878106454 ....................
[CV]  c1=0.454882340986447, c2=0.02450121878106454, score=0.733484 -   1.4s
[CV] c1=0.008507703540712145, c2=0.18250320463990857 .................
[CV]  c1=0.008507703540712145, c2=0.18250320463990857, score=0.808783 -   1.7s
[CV] c1=0.1189533389988654, c2=0.004796987901246952 ..................
[CV]  c1=0.1189533389988654, c2=0.004796987901246952, score=0.850554 -   1.7s
[CV] c1=0.4598461497136479, c2=0.011943374151125528 ..................
[CV]  c1=0.4598461497136479, c2=0.011943374151125528, score=0.864154 -   1.8s
[CV] c1=0.3628495292551351, c2=0.08573846026082745 ...................
[CV]  c1=0.3628495292551351, c2=0.08573846026082745, score=0.780850 -   1.7s
[CV] c1=0.2712394747863214, c2=0.04003909142875059 ...................
[CV]  c1=0.2712394747863214, c2=0.04003909142875059, score=0.871475 -   1.8s
[CV] c1=0.5315849408648722, c2=0.038391689380399885 ..................
[CV]  c1=0.5315849408648722, c2=0.038391689380399885, score=0.729561 -   1.4s
[CV] c1=0.10530138681769255, c2=0.008842896927495127 .................
[CV]  c1=0.10530138681769255, c2=0.008842896927495127, score=0.897572 -   1.7s
[CV] c1=0.01936251993044, c2=0.2787357602340642 ......................
[CV]  c1=0.01936251993044, c2=0.2787357602340642, score=0.746881 -   1.2s
[CV] c1=0.0854045909508558, c2=0.029406933211893405 ..................
[CV]  c1=0.0854045909508558, c2=0.029406933211893405, score=0.752223 -   1.2s
[CV] c1=0.06416779578754328, c2=0.03982465175698459 ..................
[CV]  c1=0.06416779578754328, c2=0.03982465175698459, score=0.835470 -   1.7s
[CV] c1=0.028577545565283986, c2=0.005197023254551811 ................
[CV]  c1=0.028577545565283986, c2=0.005197023254551811, score=0.778322 -   1.3s
[CV] c1=0.32588601492627245, c2=0.11722226345233143 ..................
[CV]  c1=0.32588601492627245, c2=0.11722226345233143, score=0.843762 -   1.7s
[CV] c1=0.009822796847247265, c2=0.08102328515737087 .................
[CV]  c1=0.009822796847247265, c2=0.08102328515737087, score=0.877087 -   1.6s
[CV] c1=0.3181349221503382, c2=0.04563194614591706 ...................
[CV]  c1=0.3181349221503382, c2=0.04563194614591706, score=0.732473 -   1.3s
[CV] c1=0.3752075491733343, c2=0.007969364218791866 ..................
[CV]  c1=0.3752075491733343, c2=0.007969364218791866, score=0.891415 -   1.7s
[CV] c1=0.16813155093906948, c2=0.001995143797755717 .................
[CV]  c1=0.16813155093906948, c2=0.001995143797755717, score=0.734386 -   1.3s
[CV] c1=0.07294238872989484, c2=0.05263306846343453 ..................
[CV]  c1=0.07294238872989484, c2=0.05263306846343453, score=0.835470 -   1.7s
[CV] c1=0.18674064830376583, c2=0.0592501405206137 ...................
[CV]  c1=0.18674064830376583, c2=0.0592501405206137, score=0.808350 -   1.8s
[CV] c1=0.07378894767754811, c2=0.04603611708107919 ..................
[CV]  c1=0.07378894767754811, c2=0.04603611708107919, score=0.908483 -   1.7s
[CV] c1=0.10530138681769255, c2=0.008842896927495127 .................
[CV]  c1=0.10530138681769255, c2=0.008842896927495127, score=0.744092 -   1.4s
[CV] c1=0.07390821378695307, c2=0.07265803288977052 ..................
[CV]  c1=0.07390821378695307, c2=0.07265803288977052, score=0.898887 -   1.5s
[CV] c1=0.10925962829559999, c2=0.03816665136285388 ..................
[CV]  c1=0.10925962829559999, c2=0.03816665136285388, score=0.850208 -   1.6s
[CV] c1=0.06909256986662918, c2=0.015940529762311407 .................
[CV]  c1=0.06909256986662918, c2=0.015940529762311407, score=0.856458 -   1.5s
[CV] c1=3.0362365883233786, c2=0.16195711479895836 ...................
[CV]  c1=3.0362365883233786, c2=0.16195711479895836, score=0.510281 -   1.8s
[CV] c1=0.22750557309399352, c2=0.024337622448941047 .................
[CV]  c1=0.22750557309399352, c2=0.024337622448941047, score=0.849502 -   1.6s
[CV] c1=0.3749981789448317, c2=0.04527780504054888 ...................
[CV]  c1=0.3749981789448317, c2=0.04527780504054888, score=0.799784 -   1.7s
[CV] c1=0.20925834997572404, c2=0.012323610910229087 .................
[CV]  c1=0.20925834997572404, c2=0.012323610910229087, score=0.850010 -   1.6s
[CV] c1=0.06356185498910193, c2=0.1829925917194241 ...................
[CV]  c1=0.06356185498910193, c2=0.1829925917194241, score=0.809254 -   1.7s
[CV] c1=0.9507725316909235, c2=0.014520447598183646 ..................
[CV]  c1=0.9507725316909235, c2=0.014520447598183646, score=0.800388 -   1.6s
[CV] c1=0.49656144158042836, c2=0.10726512689849046 ..................
[CV]  c1=0.49656144158042836, c2=0.10726512689849046, score=0.736999 -   1.7s
[CV] c1=1.1172382820030677, c2=0.04394528599215233 ...................
[CV]  c1=1.1172382820030677, c2=0.04394528599215233, score=0.796505 -   1.6s
[CV] c1=0.1133411080042633, c2=0.04322318126554301 ...................
[CV]  c1=0.1133411080042633, c2=0.04322318126554301, score=0.810739 -   1.7s
[CV] c1=0.28720135087593274, c2=0.025119060946909195 .................
[CV]  c1=0.28720135087593274, c2=0.025119060946909195, score=0.850233 -   1.6s
[CV] c1=0.0854045909508558, c2=0.029406933211893405 ..................
[CV]  c1=0.0854045909508558, c2=0.029406933211893405, score=0.884188 -   1.7s
[CV] c1=0.06909256986662918, c2=0.015940529762311407 .................
[CV]  c1=0.06909256986662918, c2=0.015940529762311407, score=0.810739 -   1.7s
[CV] c1=0.921644074002704, c2=0.03870271141858492 ....................
[CV]  c1=0.921644074002704, c2=0.03870271141858492, score=0.731282 -   1.9s
[CV] c1=0.1351272232849893, c2=0.04314889994485674 ...................
[CV]  c1=0.1351272232849893, c2=0.04314889994485674, score=0.855995 -   1.6s
[CV] c1=0.041299715661062955, c2=0.0005012635096362226 ...............
[CV]  c1=0.041299715661062955, c2=0.0005012635096362226, score=0.788560 -   1.7s
[CV] c1=0.1189533389988654, c2=0.004796987901246952 ..................
[CV]  c1=0.1189533389988654, c2=0.004796987901246952, score=0.821063 -   1.7s
[CV] c1=0.4598461497136479, c2=0.011943374151125528 ..................
[CV]  c1=0.4598461497136479, c2=0.011943374151125528, score=0.842864 -   1.6s
[CV] c1=0.2912516879970469, c2=0.22318372592380725 ...................
[CV]  c1=0.2912516879970469, c2=0.22318372592380725, score=0.783441 -   1.7s
[CV] c1=0.18674064830376583, c2=0.0592501405206137 ...................
[CV]  c1=0.18674064830376583, c2=0.0592501405206137, score=0.871475 -   1.8s
[CV] c1=0.07378894767754811, c2=0.04603611708107919 ..................
[CV]  c1=0.07378894767754811, c2=0.04603611708107919, score=0.786142 -   1.3s
[CV] c1=0.40481738708407083, c2=0.020315030374605855 .................
[CV]  c1=0.40481738708407083, c2=0.020315030374605855, score=0.843152 -   1.7s
[CV] c1=0.3132725319074205, c2=0.006395546324791036 ..................
[CV]  c1=0.3132725319074205, c2=0.006395546324791036, score=0.850010 -   1.6s
[CV] c1=0.6577271004812487, c2=0.07902273735894555 ...................
[CV]  c1=0.6577271004812487, c2=0.07902273735894555, score=0.831950 -   1.7s
[CV] c1=0.22350755325113197, c2=0.008541821359089583 .................
[CV]  c1=0.22350755325113197, c2=0.008541821359089583, score=0.897572 -   1.7s
[CV] c1=0.5196918897115733, c2=0.06035572056831539 ...................
[CV]  c1=0.5196918897115733, c2=0.06035572056831539, score=0.826036 -   1.7s
[CV] c1=0.02465161354481698, c2=0.001189469543410054 .................
[CV]  c1=0.02465161354481698, c2=0.001189469543410054, score=0.883702 -   1.6s
[CV] c1=0.008507703540712145, c2=0.18250320463990857 .................
[CV]  c1=0.008507703540712145, c2=0.18250320463990857, score=0.876092 -   1.6s
[CV] c1=0.1189533389988654, c2=0.004796987901246952 ..................
[CV]  c1=0.1189533389988654, c2=0.004796987901246952, score=0.892367 -   1.7s
[CV] c1=0.4598461497136479, c2=0.011943374151125528 ..................
[CV]  c1=0.4598461497136479, c2=0.011943374151125528, score=0.778904 -   1.8s
[CV] c1=0.2912516879970469, c2=0.22318372592380725 ...................
[CV]  c1=0.2912516879970469, c2=0.22318372592380725, score=0.822863 -   1.6s
[CV] c1=0.18674064830376583, c2=0.0592501405206137 ...................
[CV]  c1=0.18674064830376583, c2=0.0592501405206137, score=0.847247 -   1.6s
[CV] c1=0.6696477504640892, c2=0.03403303749530521 ...................
[CV]  c1=0.6696477504640892, c2=0.03403303749530521, score=0.725281 -   1.7s
[CV] c1=0.11855313303257412, c2=0.00898301794090073 ..................
[CV]  c1=0.11855313303257412, c2=0.00898301794090073, score=0.851290 -   1.6s
[CV] c1=0.07390821378695307, c2=0.07265803288977052 ..................
[CV]  c1=0.07390821378695307, c2=0.07265803288977052, score=0.857120 -   1.4s
[CV] c1=1.0910339705916527, c2=0.0015445251629047354 .................
[CV]  c1=1.0910339705916527, c2=0.0015445251629047354, score=0.675454 -   1.7s
[CV] c1=0.3220129641283927, c2=0.0051658087479054884 .................
[CV]  c1=0.3220129641283927, c2=0.0051658087479054884, score=0.891828 -   1.7s
[CV] c1=3.0362365883233786, c2=0.16195711479895836 ...................
[CV]  c1=3.0362365883233786, c2=0.16195711479895836, score=0.494024 -   1.4s
[CV] c1=1.6301253345259528, c2=0.056810199491754136 ..................
[CV]  c1=1.6301253345259528, c2=0.056810199491754136, score=0.617811 -   1.7s
[CV] c1=1.1145856487943557, c2=0.014078709501618833 ..................
[CV]  c1=1.1145856487943557, c2=0.014078709501618833, score=0.677929 -   1.4s
[CV] c1=0.3181349221503382, c2=0.04563194614591706 ...................
[CV]  c1=0.3181349221503382, c2=0.04563194614591706, score=0.871475 -   1.8s
[CV] c1=0.7734931512097741, c2=0.05461404740120414 ...................
[CV]  c1=0.7734931512097741, c2=0.05461404740120414, score=0.708015 -   1.7s
[CV] c1=0.3754637806045998, c2=0.14686518905822063 ...................
[CV]  c1=0.3754637806045998, c2=0.14686518905822063, score=0.895436 -   1.6s
[CV] c1=0.08878945687097717, c2=0.001827166093833476 .................
[CV]  c1=0.08878945687097717, c2=0.001827166093833476, score=0.900708 -   1.7s
[CV] c1=0.55426054739652, c2=0.0307284654347124 ......................
[CV]  c1=0.55426054739652, c2=0.0307284654347124, score=0.729593 -   1.4s
[CV] c1=1.015341897729087, c2=0.04089667932949482 ....................
[CV]  c1=1.015341897729087, c2=0.04089667932949482, score=0.852030 -   1.7s
[CV] c1=0.983360609375531, c2=0.049736093122303864 ...................
[CV]  c1=0.983360609375531, c2=0.049736093122303864, score=0.645070 -   1.4s
[CV] c1=0.10630771752432139, c2=0.02836230844299254 ..................
[CV]  c1=0.10630771752432139, c2=0.02836230844299254, score=0.758172 -   1.1s
[CV] c1=0.10925962829559999, c2=0.03816665136285388 ..................
[CV]  c1=0.10925962829559999, c2=0.03816665136285388, score=0.752116 -   1.4s
[CV] c1=0.5975782431482737, c2=0.06267475400970544 ...................
[CV]  c1=0.5975782431482737, c2=0.06267475400970544, score=0.796565 -   1.6s
[CV] c1=0.13700843758766526, c2=0.038124329444797045 .................
[CV]  c1=0.13700843758766526, c2=0.038124329444797045, score=0.901717 -   1.9s
[CV] c1=0.682217828937717, c2=0.0075853698770203025 ..................
[CV]  c1=0.682217828937717, c2=0.0075853698770203025, score=0.813035 -   1.6s
[CV] c1=0.17499782340015588, c2=0.027854268598162476 .................
[CV]  c1=0.17499782340015588, c2=0.027854268598162476, score=0.810739 -   1.7s
[CV] c1=0.20925834997572404, c2=0.012323610910229087 .................
[CV]  c1=0.20925834997572404, c2=0.012323610910229087, score=0.897572 -   1.7s
[CV] c1=0.06356185498910193, c2=0.1829925917194241 ...................
[CV]  c1=0.06356185498910193, c2=0.1829925917194241, score=0.743491 -   1.3s
[CV] c1=0.3754637806045998, c2=0.14686518905822063 ...................
[CV]  c1=0.3754637806045998, c2=0.14686518905822063, score=0.713269 -   1.3s
[CV] c1=0.07721536690287846, c2=0.016734919500881233 .................
[CV]  c1=0.07721536690287846, c2=0.016734919500881233, score=0.868375 -   1.8s
[CV] c1=0.128117863747257, c2=0.06556871969804903 ....................
[CV]  c1=0.128117863747257, c2=0.06556871969804903, score=0.732176 -   1.3s
[CV] c1=0.5315849408648722, c2=0.038391689380399885 ..................
[CV]  c1=0.5315849408648722, c2=0.038391689380399885, score=0.886896 -   1.7s
[CV] c1=1.1673469101746368, c2=0.00651272107987455 ...................
[CV]  c1=1.1673469101746368, c2=0.00651272107987455, score=0.681587 -   1.3s
[CV] c1=0.07390821378695307, c2=0.07265803288977052 ..................
[CV]  c1=0.07390821378695307, c2=0.07265803288977052, score=0.827512 -   1.5s
[CV] c1=1.4371599981475116, c2=0.02315471789190582 ...................
[CV]  c1=1.4371599981475116, c2=0.02315471789190582, score=0.830116 -   1.3s
[CV] c1=0.06269195153659522, c2=0.02414102222052615 ..................
[CV]  c1=0.06269195153659522, c2=0.02414102222052615, score=0.758289 -   1.4s
[CV] c1=0.03605135604567184, c2=0.018386034366729993 .................
[CV]  c1=0.03605135604567184, c2=0.018386034366729993, score=0.821138 -   1.8s
[CV] c1=0.46070470321389845, c2=0.005021863079182919 .................
[CV]  c1=0.46070470321389845, c2=0.005021863079182919, score=0.897844 -   1.7s
[CV] c1=0.02465161354481698, c2=0.001189469543410054 .................
[CV]  c1=0.02465161354481698, c2=0.001189469543410054, score=0.788950 -   1.4s
[CV] c1=0.041299715661062955, c2=0.0005012635096362226 ...............
[CV]  c1=0.041299715661062955, c2=0.0005012635096362226, score=0.754521 -   1.3s
[CV] c1=0.6081999055809885, c2=0.02398094863890962 ...................
[CV]  c1=0.6081999055809885, c2=0.02398094863890962, score=0.834866 -   1.9s
[CV] c1=0.16641733008068102, c2=0.010747052082532647 .................
[CV]  c1=0.16641733008068102, c2=0.010747052082532647, score=0.882720 -   1.7s
[CV] c1=0.07294238872989484, c2=0.05263306846343453 ..................
[CV]  c1=0.07294238872989484, c2=0.05263306846343453, score=0.738537 -   1.4s
[CV] c1=1.2813930724223075, c2=0.1129329030227289 ....................
[CV]  c1=1.2813930724223075, c2=0.1129329030227289, score=0.609916 -   1.8s
[CV] c1=1.1172382820030677, c2=0.04394528599215233 ...................
[CV]  c1=1.1172382820030677, c2=0.04394528599215233, score=0.651021 -   1.8s
[CV] c1=0.40481738708407083, c2=0.020315030374605855 .................
[CV]  c1=0.40481738708407083, c2=0.020315030374605855, score=0.897844 -   1.7s
[CV] c1=0.3132725319074205, c2=0.006395546324791036 ..................
[CV]  c1=0.3132725319074205, c2=0.006395546324791036, score=0.801518 -   1.7s
[CV] c1=0.6577271004812487, c2=0.07902273735894555 ...................
[CV]  c1=0.6577271004812487, c2=0.07902273735894555, score=0.797758 -   1.7s
[CV] c1=0.03605135604567184, c2=0.018386034366729993 .................
[CV]  c1=0.03605135604567184, c2=0.018386034366729993, score=0.863370 -   1.7s
[CV] c1=0.5196918897115733, c2=0.06035572056831539 ...................
[CV]  c1=0.5196918897115733, c2=0.06035572056831539, score=0.838554 -   1.6s
[CV] c1=0.1351272232849893, c2=0.04314889994485674 ...................
[CV]  c1=0.1351272232849893, c2=0.04314889994485674, score=0.810739 -   1.7s
[CV] c1=0.041299715661062955, c2=0.0005012635096362226 ...............
[CV]  c1=0.041299715661062955, c2=0.0005012635096362226, score=0.870477 -   1.6s
[CV] c1=0.24928858683843744, c2=0.03613260129292019 ..................
[CV]  c1=0.24928858683843744, c2=0.03613260129292019, score=0.754246 -   1.4s
[CV] c1=0.06356185498910193, c2=0.1829925917194241 ...................
[CV]  c1=0.06356185498910193, c2=0.1829925917194241, score=0.895043 -   2.2s
[CV] c1=0.2912516879970469, c2=0.22318372592380725 ...................
[CV]  c1=0.2912516879970469, c2=0.22318372592380725, score=0.774743 -   1.7s
[CV] c1=0.2712394747863214, c2=0.04003909142875059 ...................
[CV]  c1=0.2712394747863214, c2=0.04003909142875059, score=0.912049 -   1.7s
[CV] c1=0.6696477504640892, c2=0.03403303749530521 ...................
[CV]  c1=0.6696477504640892, c2=0.03403303749530521, score=0.840496 -   1.8s
[CV] c1=0.10530138681769255, c2=0.008842896927495127 .................
[CV]  c1=0.10530138681769255, c2=0.008842896927495127, score=0.865776 -   1.5s
[CV] c1=0.01936251993044, c2=0.2787357602340642 ......................
[CV]  c1=0.01936251993044, c2=0.2787357602340642, score=0.788836 -   1.4s
[CV] c1=1.0910339705916527, c2=0.0015445251629047354 .................
[CV]  c1=1.0910339705916527, c2=0.0015445251629047354, score=0.653370 -   1.4s
[CV] c1=0.31142464170648837, c2=0.0193904903916281 ...................
[CV]  c1=0.31142464170648837, c2=0.0193904903916281, score=0.801518 -   1.9s
[CV] c1=0.13700843758766526, c2=0.038124329444797045 .................
[CV]  c1=0.13700843758766526, c2=0.038124329444797045, score=0.850208 -   1.6s
[CV] c1=0.8831331977900425, c2=0.05726361155633827 ...................
[CV]  c1=0.8831331977900425, c2=0.05726361155633827, score=0.699385 -   1.7s
[CV] c1=1.1145856487943557, c2=0.014078709501618833 ..................
[CV]  c1=1.1145856487943557, c2=0.014078709501618833, score=0.779454 -   1.6s
[CV] c1=1.0098104937368322, c2=0.012207564567617603 ..................
[CV]  c1=1.0098104937368322, c2=0.012207564567617603, score=0.691995 -   1.4s
[CV] c1=0.7013209428780669, c2=0.018231005371814168 ..................
[CV]  c1=0.7013209428780669, c2=0.018231005371814168, score=0.843215 -   1.8s
[CV] c1=0.14848166085734252, c2=0.04192612828902841 ..................
[CV]  c1=0.14848166085734252, c2=0.04192612828902841, score=0.810739 -   1.7s
[CV] c1=0.17466225614462152, c2=0.06734408579980643 ..................
[CV]  c1=0.17466225614462152, c2=0.06734408579980643, score=0.829468 -   1.7s
[CV] c1=0.55426054739652, c2=0.0307284654347124 ......................
[CV]  c1=0.55426054739652, c2=0.0307284654347124, score=0.892648 -   1.7s
[CV] c1=0.11130889418534705, c2=0.0004862955936863921 ................
[CV]  c1=0.11130889418534705, c2=0.0004862955936863921, score=0.739889 -   1.4s
[CV] c1=1.1673469101746368, c2=0.00651272107987455 ...................
[CV]  c1=1.1673469101746368, c2=0.00651272107987455, score=0.717576 -   1.8s
[CV] c1=0.9934732655012728, c2=0.005930696030776524 ..................
[CV]  c1=0.9934732655012728, c2=0.005930696030776524, score=0.700357 -   1.0s
[CV] c1=1.4371599981475116, c2=0.02315471789190582 ...................
[CV]  c1=1.4371599981475116, c2=0.02315471789190582, score=0.623645 -   1.6s
[CV] c1=0.06416779578754328, c2=0.03982465175698459 ..................
[CV]  c1=0.06416779578754328, c2=0.03982465175698459, score=0.899313 -   1.7s
[CV] c1=0.4077912605187425, c2=0.003794960107081332 ..................
[CV]  c1=0.4077912605187425, c2=0.003794960107081332, score=0.797835 -   1.8s
[CV] c1=1.6301253345259528, c2=0.056810199491754136 ..................
[CV]  c1=1.6301253345259528, c2=0.056810199491754136, score=0.822192 -   1.7s
[CV] c1=0.47285035646654655, c2=0.07635963777328524 ..................
[CV]  c1=0.47285035646654655, c2=0.07635963777328524, score=0.757848 -   1.8s
[CV] c1=1.0098104937368322, c2=0.012207564567617603 ..................
[CV]  c1=1.0098104937368322, c2=0.012207564567617603, score=0.691716 -   1.8s
[CV] c1=1.327425384681526, c2=0.01590468403135274 ....................
[CV]  c1=1.327425384681526, c2=0.01590468403135274, score=0.641800 -   1.4s
[CV] c1=0.14848166085734252, c2=0.04192612828902841 ..................
[CV]  c1=0.14848166085734252, c2=0.04192612828902841, score=0.846327 -   1.7s
[CV] c1=0.08878945687097717, c2=0.001827166093833476 .................
[CV]  c1=0.08878945687097717, c2=0.001827166093833476, score=0.741138 -   1.4s
[CV] c1=0.128117863747257, c2=0.06556871969804903 ....................
[CV]  c1=0.128117863747257, c2=0.06556871969804903, score=0.898730 -   1.7s
[CV] c1=1.015341897729087, c2=0.04089667932949482 ....................
[CV]  c1=1.015341897729087, c2=0.04089667932949482, score=0.645070 -   1.4s
[CV] c1=1.1673469101746368, c2=0.00651272107987455 ...................
[CV]  c1=1.1673469101746368, c2=0.00651272107987455, score=0.849911 -   1.7s
[CV] c1=0.10630771752432139, c2=0.02836230844299254 ..................
[CV]  c1=0.10630771752432139, c2=0.02836230844299254, score=0.901717 -   1.3s
[CV] c1=0.14393801756856658, c2=0.0017294529033618378 ................
[CV]  c1=0.14393801756856658, c2=0.0017294529033618378, score=0.861715 -   1.6s
[CV] c1=0.31142464170648837, c2=0.0193904903916281 ...................
[CV]  c1=0.31142464170648837, c2=0.0193904903916281, score=0.850407 -   1.6s
[CV] c1=0.028577545565283986, c2=0.005197023254551811 ................
[CV]  c1=0.028577545565283986, c2=0.005197023254551811, score=0.835287 -   1.7s
[CV] c1=0.8831331977900425, c2=0.05726361155633827 ...................
[CV]  c1=0.8831331977900425, c2=0.05726361155633827, score=0.693829 -   1.4s
[CV] c1=0.009822796847247265, c2=0.08102328515737087 .................
[CV]  c1=0.009822796847247265, c2=0.08102328515737087, score=0.852159 -   1.5s
[CV] c1=0.3181349221503382, c2=0.04563194614591706 ...................
[CV]  c1=0.3181349221503382, c2=0.04563194614591706, score=0.910186 -   1.7s
[CV] c1=0.7013209428780669, c2=0.018231005371814168 ..................
[CV]  c1=0.7013209428780669, c2=0.018231005371814168, score=0.719170 -   1.3s
[CV] c1=0.16813155093906948, c2=0.001995143797755717 .................
[CV]  c1=0.16813155093906948, c2=0.001995143797755717, score=0.897572 -   1.8s
[CV] c1=0.3628495292551351, c2=0.08573846026082745 ...................
[CV]  c1=0.3628495292551351, c2=0.08573846026082745, score=0.841555 -   1.6s
[CV] c1=0.2712394747863214, c2=0.04003909142875059 ...................
[CV]  c1=0.2712394747863214, c2=0.04003909142875059, score=0.847803 -   1.7s
[CV] c1=0.07378894767754811, c2=0.04603611708107919 ..................
[CV]  c1=0.07378894767754811, c2=0.04603611708107919, score=0.850208 -   1.7s
[CV] c1=0.10530138681769255, c2=0.008842896927495127 .................
[CV]  c1=0.10530138681769255, c2=0.008842896927495127, score=0.823255 -   1.7s
[CV] c1=0.01936251993044, c2=0.2787357602340642 ......................
[CV]  c1=0.01936251993044, c2=0.2787357602340642, score=0.805447 -   1.3s
[CV] c1=0.14393801756856658, c2=0.0017294529033618378 ................
[CV]  c1=0.14393801756856658, c2=0.0017294529033618378, score=0.756819 -   1.3s
[CV] c1=0.06416779578754328, c2=0.03982465175698459 ..................
[CV]  c1=0.06416779578754328, c2=0.03982465175698459, score=0.744215 -   1.4s
[CV] c1=0.09847780677081341, c2=0.07786383770375328 ..................
[CV]  c1=0.09847780677081341, c2=0.07786383770375328, score=0.896900 -   1.7s
[CV] c1=0.32588601492627245, c2=0.11722226345233143 ..................
[CV]  c1=0.32588601492627245, c2=0.11722226345233143, score=0.720486 -   1.4s
[CV] c1=0.02465161354481698, c2=0.001189469543410054 .................
[CV]  c1=0.02465161354481698, c2=0.001189469543410054, score=0.827434 -   1.7s
[CV] c1=0.008507703540712145, c2=0.18250320463990857 .................
[CV]  c1=0.008507703540712145, c2=0.18250320463990857, score=0.854407 -   1.6s
[CV] c1=0.1189533389988654, c2=0.004796987901246952 ..................
[CV]  c1=0.1189533389988654, c2=0.004796987901246952, score=0.859284 -   1.6s
[CV] c1=0.4598461497136479, c2=0.011943374151125528 ..................
[CV]  c1=0.4598461497136479, c2=0.011943374151125528, score=0.725016 -   1.4s
[CV] c1=0.07294238872989484, c2=0.05263306846343453 ..................
[CV]  c1=0.07294238872989484, c2=0.05263306846343453, score=0.906495 -   1.7s
[CV] c1=0.9276703417659525, c2=0.020952721549370636 ..................
[CV]  c1=0.9276703417659525, c2=0.020952721549370636, score=0.787121 -   1.7s
[CV] c1=1.425475804686867, c2=0.06274113308499826 ....................
[CV]  c1=1.425475804686867, c2=0.06274113308499826, score=0.630053 -   1.8s
[CV] c1=0.11855313303257412, c2=0.00898301794090073 ..................
[CV]  c1=0.11855313303257412, c2=0.00898301794090073, score=0.821063 -   1.7s
[CV] c1=0.01936251993044, c2=0.2787357602340642 ......................
[CV]  c1=0.01936251993044, c2=0.2787357602340642, score=0.873293 -   1.5s
[CV] c1=0.30907447747172656, c2=0.023928317344601307 .................
[CV]  c1=0.30907447747172656, c2=0.023928317344601307, score=0.847492 -   1.6s
[CV] c1=0.06416779578754328, c2=0.03982465175698459 ..................
[CV]  c1=0.06416779578754328, c2=0.03982465175698459, score=0.850208 -   1.6s
[CV] c1=0.4077912605187425, c2=0.003794960107081332 ..................
[CV]  c1=0.4077912605187425, c2=0.003794960107081332, score=0.723301 -   1.4s
[CV] c1=0.32588601492627245, c2=0.11722226345233143 ..................
[CV]  c1=0.32588601492627245, c2=0.11722226345233143, score=0.787496 -   1.7s
[CV] c1=0.454882340986447, c2=0.02450121878106454 ....................
[CV]  c1=0.454882340986447, c2=0.02450121878106454, score=0.847803 -   1.7s
[CV] c1=0.6864146259764161, c2=0.0567036856624112 ....................
[CV]  c1=0.6864146259764161, c2=0.0567036856624112, score=0.797758 -   1.6s
[CV] c1=0.3752075491733343, c2=0.007969364218791866 ..................
[CV]  c1=0.3752075491733343, c2=0.007969364218791866, score=0.860520 -   1.7s
[CV] c1=0.16813155093906948, c2=0.001995143797755717 .................
[CV]  c1=0.16813155093906948, c2=0.001995143797755717, score=0.857834 -   1.6s
[CV] c1=0.3628495292551351, c2=0.08573846026082745 ...................
[CV]  c1=0.3628495292551351, c2=0.08573846026082745, score=0.734834 -   1.4s
[CV] c1=0.18674064830376583, c2=0.0592501405206137 ...................
[CV]  c1=0.18674064830376583, c2=0.0592501405206137, score=0.897326 -   1.7s
[CV] c1=0.6696477504640892, c2=0.03403303749530521 ...................
[CV]  c1=0.6696477504640892, c2=0.03403303749530521, score=0.797758 -   1.7s
[CV] c1=0.11855313303257412, c2=0.00898301794090073 ..................
[CV]  c1=0.11855313303257412, c2=0.00898301794090073, score=0.840958 -   1.8s
[CV] c1=0.01936251993044, c2=0.2787357602340642 ......................
[CV]  c1=0.01936251993044, c2=0.2787357602340642, score=0.854407 -   1.4s
[CV] c1=0.6577271004812487, c2=0.07902273735894555 ...................
[CV]  c1=0.6577271004812487, c2=0.07902273735894555, score=0.882232 -   1.6s
[CV] c1=0.03605135604567184, c2=0.018386034366729993 .................
[CV]  c1=0.03605135604567184, c2=0.018386034366729993, score=0.885889 -   1.6s
[CV] c1=0.5196918897115733, c2=0.06035572056831539 ...................
[CV]  c1=0.5196918897115733, c2=0.06035572056831539, score=0.888342 -   1.7s
[CV] c1=0.1351272232849893, c2=0.04314889994485674 ...................
[CV]  c1=0.1351272232849893, c2=0.04314889994485674, score=0.752223 -   1.3s
[CV] c1=0.17499782340015588, c2=0.027854268598162476 .................
[CV]  c1=0.17499782340015588, c2=0.027854268598162476, score=0.746560 -   1.3s
[CV] c1=0.5094603765571656, c2=0.005709538184492883 ..................
[CV]  c1=0.5094603765571656, c2=0.005709538184492883, score=0.852479 -   1.7s
[CV] c1=0.5201183481253387, c2=0.034331864134467566 ..................
[CV]  c1=0.5201183481253387, c2=0.034331864134467566, score=0.728908 -   1.5s
[CV] c1=0.14848166085734252, c2=0.04192612828902841 ..................
[CV]  c1=0.14848166085734252, c2=0.04192612828902841, score=0.742949 -   1.4s
[CV] c1=0.07721536690287846, c2=0.016734919500881233 .................
[CV]  c1=0.07721536690287846, c2=0.016734919500881233, score=0.863370 -   1.6s
[CV] c1=0.6758016888609744, c2=0.04371937842626394 ...................
[CV]  c1=0.6758016888609744, c2=0.04371937842626394, score=0.877603 -   1.7s
[CV] c1=0.5315849408648722, c2=0.038391689380399885 ..................
[CV]  c1=0.5315849408648722, c2=0.038391689380399885, score=0.831695 -   1.6s
[CV] c1=1.1673469101746368, c2=0.00651272107987455 ...................
[CV]  c1=1.1673469101746368, c2=0.00651272107987455, score=0.781860 -   1.7s
[CV] c1=0.10630771752432139, c2=0.02836230844299254 ..................
[CV]  c1=0.10630771752432139, c2=0.02836230844299254, score=0.850208 -   1.2s
[CV] c1=1.4371599981475116, c2=0.02315471789190582 ...................
[CV]  c1=1.4371599981475116, c2=0.02315471789190582, score=0.633555 -   1.1s
[CV] c1=0.06269195153659522, c2=0.02414102222052615 ..................
[CV]  c1=0.06269195153659522, c2=0.02414102222052615, score=0.899559 -   1.7s
[CV] c1=0.22350755325113197, c2=0.008541821359089583 .................
[CV]  c1=0.22350755325113197, c2=0.008541821359089583, score=0.730319 -   1.5s
[CV] c1=0.5196918897115733, c2=0.06035572056831539 ...................
[CV]  c1=0.5196918897115733, c2=0.06035572056831539, score=0.727569 -   1.4s
[CV] c1=0.22750557309399352, c2=0.024337622448941047 .................
[CV]  c1=0.22750557309399352, c2=0.024337622448941047, score=0.901717 -   1.8s
[CV] c1=0.3749981789448317, c2=0.04527780504054888 ...................
[CV]  c1=0.3749981789448317, c2=0.04527780504054888, score=0.848443 -   1.8s
[CV] c1=0.24928858683843744, c2=0.03613260129292019 ..................
[CV]  c1=0.24928858683843744, c2=0.03613260129292019, score=0.871475 -   2.0s
[CV] c1=0.16813155093906948, c2=0.001995143797755717 .................
[CV]  c1=0.16813155093906948, c2=0.001995143797755717, score=0.810499 -   1.8s
[CV] c1=0.07721536690287846, c2=0.016734919500881233 .................
[CV]  c1=0.07721536690287846, c2=0.016734919500881233, score=0.897146 -   1.7s
[CV] c1=0.6758016888609744, c2=0.04371937842626394 ...................
[CV]  c1=0.6758016888609744, c2=0.04371937842626394, score=0.732145 -   1.4s
[CV] c1=0.07378894767754811, c2=0.04603611708107919 ..................
[CV]  c1=0.07378894767754811, c2=0.04603611708107919, score=0.813172 -   1.8s
[CV] c1=0.10530138681769255, c2=0.008842896927495127 .................
[CV]  c1=0.10530138681769255, c2=0.008842896927495127, score=0.862888 -   1.8s
[CV] c1=0.10630771752432139, c2=0.02836230844299254 ..................
[CV]  c1=0.10630771752432139, c2=0.02836230844299254, score=0.810739 -   1.3s
[CV] c1=0.14860797973846873, c2=0.012876297265148374 .................
[CV]  c1=0.14860797973846873, c2=0.012876297265148374, score=0.810739 -   1.3s
[CV] c1=1.0481222139908468, c2=0.1736625840686935 ....................
[CV]  c1=1.0481222139908468, c2=0.1736625840686935, score=0.637720 -   1.9s
[CV] c1=0.4077912605187425, c2=0.003794960107081332 ..................
[CV]  c1=0.4077912605187425, c2=0.003794960107081332, score=0.848072 -   1.7s
[CV] c1=0.4651317393671726, c2=0.009043741389851359 ..................
[CV]  c1=0.4651317393671726, c2=0.009043741389851359, score=0.861348 -   1.8s
[CV] c1=0.47285035646654655, c2=0.07635963777328524 ..................
[CV]  c1=0.47285035646654655, c2=0.07635963777328524, score=0.730875 -   1.4s
[CV] c1=0.3181349221503382, c2=0.04563194614591706 ...................
[CV]  c1=0.3181349221503382, c2=0.04563194614591706, score=0.797835 -   1.7s
[CV] c1=0.7013209428780669, c2=0.018231005371814168 ..................
[CV]  c1=0.7013209428780669, c2=0.018231005371814168, score=0.727309 -   1.7s
[CV] c1=0.18157454420080474, c2=0.03277327525396483 ..................
[CV]  c1=0.18157454420080474, c2=0.03277327525396483, score=0.853034 -   1.6s
[CV] c1=0.07721536690287846, c2=0.016734919500881233 .................
[CV]  c1=0.07721536690287846, c2=0.016734919500881233, score=0.801432 -   1.7s
[CV] c1=0.6758016888609744, c2=0.04371937842626394 ...................
[CV]  c1=0.6758016888609744, c2=0.04371937842626394, score=0.808428 -   1.8s
[CV] c1=1.015341897729087, c2=0.04089667932949482 ....................
[CV]  c1=1.015341897729087, c2=0.04089667932949482, score=0.795823 -   1.7s
[CV] c1=0.983360609375531, c2=0.049736093122303864 ...................
[CV]  c1=0.983360609375531, c2=0.049736093122303864, score=0.778997 -   1.6s
[CV] c1=0.9934732655012728, c2=0.005930696030776524 ..................
[CV]  c1=0.9934732655012728, c2=0.005930696030776524, score=0.787121 -   1.1s
[CV] c1=0.30907447747172656, c2=0.023928317344601307 .................
[CV]  c1=0.30907447747172656, c2=0.023928317344601307, score=0.903035 -   1.5s
[CV] c1=1.0481222139908468, c2=0.1736625840686935 ....................
[CV]  c1=1.0481222139908468, c2=0.1736625840686935, score=0.630121 -   1.3s
[CV] c1=0.22350755325113197, c2=0.008541821359089583 .................
[CV]  c1=0.22350755325113197, c2=0.008541821359089583, score=0.804109 -   1.7s
[CV] c1=0.46070470321389845, c2=0.005021863079182919 .................
[CV]  c1=0.46070470321389845, c2=0.005021863079182919, score=0.843152 -   1.7s
[CV] c1=0.02465161354481698, c2=0.001189469543410054 .................
[CV]  c1=0.02465161354481698, c2=0.001189469543410054, score=0.850038 -   1.7s
[CV] c1=0.008507703540712145, c2=0.18250320463990857 .................
[CV]  c1=0.008507703540712145, c2=0.18250320463990857, score=0.799270 -   1.8s
[CV] c1=0.3752075491733343, c2=0.007969364218791866 ..................
[CV]  c1=0.3752075491733343, c2=0.007969364218791866, score=0.797835 -   1.8s
[CV] c1=0.16813155093906948, c2=0.001995143797755717 .................
[CV]  c1=0.16813155093906948, c2=0.001995143797755717, score=0.880719 -   1.8s
[CV] c1=0.07721536690287846, c2=0.016734919500881233 .................
[CV]  c1=0.07721536690287846, c2=0.016734919500881233, score=0.767302 -   1.4s
[CV] c1=0.2712394747863214, c2=0.04003909142875059 ...................
[CV]  c1=0.2712394747863214, c2=0.04003909142875059, score=0.799857 -   1.7s
[CV] c1=0.07378894767754811, c2=0.04603611708107919 ..................
[CV]  c1=0.07378894767754811, c2=0.04603611708107919, score=0.797226 -   1.8s
[CV] c1=1.1673469101746368, c2=0.00651272107987455 ...................
[CV]  c1=1.1673469101746368, c2=0.00651272107987455, score=0.640165 -   1.8s
[CV] c1=0.10630771752432139, c2=0.02836230844299254 ..................
[CV]  c1=0.10630771752432139, c2=0.02836230844299254, score=0.873937 -   1.3s
[CV] c1=0.14393801756856658, c2=0.0017294529033618378 ................
[CV]  c1=0.14393801756856658, c2=0.0017294529033618378, score=0.882720 -   1.7s
[CV] c1=0.31142464170648837, c2=0.0193904903916281 ...................
[CV]  c1=0.31142464170648837, c2=0.0193904903916281, score=0.853194 -   1.8s
[CV] c1=0.13700843758766526, c2=0.038124329444797045 .................
[CV]  c1=0.13700843758766526, c2=0.038124329444797045, score=0.737869 -   1.4s
[CV] c1=0.4651317393671726, c2=0.009043741389851359 ..................
[CV]  c1=0.4651317393671726, c2=0.009043741389851359, score=0.784429 -   1.8s
[CV] c1=0.47285035646654655, c2=0.07635963777328524 ..................
[CV]  c1=0.47285035646654655, c2=0.07635963777328524, score=0.893260 -   1.7s
[CV] c1=0.5094603765571656, c2=0.005709538184492883 ..................
[CV]  c1=0.5094603765571656, c2=0.005709538184492883, score=0.778904 -   1.7s
[CV] c1=0.5201183481253387, c2=0.034331864134467566 ..................
[CV]  c1=0.5201183481253387, c2=0.034331864134467566, score=0.886231 -   1.8s
[CV] c1=0.3754637806045998, c2=0.14686518905822063 ...................
[CV]  c1=0.3754637806045998, c2=0.14686518905822063, score=0.822863 -   1.6s
[CV] c1=0.08878945687097717, c2=0.001827166093833476 .................
[CV]  c1=0.08878945687097717, c2=0.001827166093833476, score=0.793275 -   1.6s
[CV] c1=0.55426054739652, c2=0.0307284654347124 ......................
[CV]  c1=0.55426054739652, c2=0.0307284654347124, score=0.832066 -   1.7s
[CV] c1=0.11130889418534705, c2=0.0004862955936863921 ................
[CV]  c1=0.11130889418534705, c2=0.0004862955936863921, score=0.859284 -   1.6s
[CV] c1=0.22086704524278317, c2=0.07374439478142887 ..................
[CV]  c1=0.22086704524278317, c2=0.07374439478142887, score=0.767889 -   1.5s
[CV] c1=0.9934732655012728, c2=0.005930696030776524 ..................
[CV]  c1=0.9934732655012728, c2=0.005930696030776524, score=0.686204 -   1.1s
[CV] c1=1.0910339705916527, c2=0.0015445251629047354 .................
[CV]  c1=1.0910339705916527, c2=0.0015445251629047354, score=0.702764 -   1.7s
[CV] c1=0.3220129641283927, c2=0.0051658087479054884 .................
[CV]  c1=0.3220129641283927, c2=0.0051658087479054884, score=0.716193 -   1.3s
[CV] c1=0.028577545565283986, c2=0.005197023254551811 ................
[CV]  c1=0.028577545565283986, c2=0.005197023254551811, score=0.837475 -   1.6s
[CV] c1=1.6301253345259528, c2=0.056810199491754136 ..................
[CV]  c1=1.6301253345259528, c2=0.056810199491754136, score=0.604667 -   1.3s
[CV] c1=0.454882340986447, c2=0.02450121878106454 ....................
[CV]  c1=0.454882340986447, c2=0.02450121878106454, score=0.872909 -   1.7s
[CV] c1=0.3181349221503382, c2=0.04563194614591706 ...................
[CV]  c1=0.3181349221503382, c2=0.04563194614591706, score=0.847803 -   1.8s
[CV] c1=0.7734931512097741, c2=0.05461404740120414 ...................
[CV]  c1=0.7734931512097741, c2=0.05461404740120414, score=0.685518 -   1.3s
[CV] c1=0.18157454420080474, c2=0.03277327525396483 ..................
[CV]  c1=0.18157454420080474, c2=0.03277327525396483, score=0.892121 -   1.6s
[CV] c1=0.3628495292551351, c2=0.08573846026082745 ...................
[CV]  c1=0.3628495292551351, c2=0.08573846026082745, score=0.834656 -   1.8s
[CV] c1=0.6758016888609744, c2=0.04371937842626394 ...................
[CV]  c1=0.6758016888609744, c2=0.04371937842626394, score=0.798001 -   1.6s
[CV] c1=0.5315849408648722, c2=0.038391689380399885 ..................
[CV]  c1=0.5315849408648722, c2=0.038391689380399885, score=0.735480 -   1.7s
[CV] c1=0.983360609375531, c2=0.049736093122303864 ...................
[CV]  c1=0.983360609375531, c2=0.049736093122303864, score=0.855852 -   1.7s
[CV] c1=0.9934732655012728, c2=0.005930696030776524 ..................
[CV]  c1=0.9934732655012728, c2=0.005930696030776524, score=0.853237 -   1.2s
Training done in: 23.846540s
     Saving training model...
        Saving training model done in: 0.013302s
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Prediction done in: 0.039821s