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

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Run15_v12.txt 73 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: Run15
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: TrueS4: True
Run variant: 12
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003767s
-------------------------------- 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        word        :
7     isUpper    False
8     isLower    False
9     isGreek    False
10   isNumber    False
11    -1:word       in
12    +1:word       M9
13   -2:lemma  culture
14  -2:postag      VBN
15   +2:lemma  minimal
16  +2:postag       JJ
17     -1:ner        _
18     +1:ner      MED
19     -2:ner        _
20     +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        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
13   -2:lemma     affyexp
14  -2:postag          JJ
15   +2:lemma     glucose
16  +2:postag          NN
17     -1:ner           _
18     +1:ner           _
19     -2:ner           _
20     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.2778201819805721, c2=0.04088874967264535 ...................
[CV]  c1=0.2778201819805721, c2=0.04088874967264535, score=0.796569 -   1.7s
[CV] c1=0.12356707545957268, c2=0.0030080027860692506 ................
[CV]  c1=0.12356707545957268, c2=0.0030080027860692506, score=0.867224 -   1.6s
[CV] c1=0.8887958821401347, c2=0.006618388827074226 ..................
[CV]  c1=0.8887958821401347, c2=0.006618388827074226, score=0.802433 -   1.6s
[CV] c1=0.270286715089648, c2=0.019098350607743765 ...................
[CV]  c1=0.270286715089648, c2=0.019098350607743765, score=0.720163 -   1.4s
[CV] c1=0.7144454519725062, c2=0.12391880591153648 ...................
[CV]  c1=0.7144454519725062, c2=0.12391880591153648, score=0.809308 -   1.6s
[CV] c1=0.36572766304559146, c2=0.015398752845799696 .................
[CV]  c1=0.36572766304559146, c2=0.015398752845799696, score=0.782432 -   1.7s
[CV] c1=1.0760395040448065, c2=0.027802496774365467 ..................
[CV]  c1=1.0760395040448065, c2=0.027802496774365467, score=0.658803 -   1.7s
[CV] c1=0.9590926022971583, c2=0.003041839720964002 ..................
[CV]  c1=0.9590926022971583, c2=0.003041839720964002, score=0.705525 -   1.4s
[CV] c1=0.8430672523433665, c2=0.02480806903045749 ...................
[CV]  c1=0.8430672523433665, c2=0.02480806903045749, score=0.716580 -   1.3s
[CV] c1=0.8144164538600966, c2=0.0006645988660921196 .................
[CV]  c1=0.8144164538600966, c2=0.0006645988660921196, score=0.710319 -   1.8s
[CV] c1=0.24295008629099907, c2=0.018405210566823937 .................
[CV]  c1=0.24295008629099907, c2=0.018405210566823937, score=0.797154 -   1.7s
[CV] c1=0.6311123160190643, c2=0.0037165831207117716 .................
[CV]  c1=0.6311123160190643, c2=0.0037165831207117716, score=0.783115 -   1.7s
[CV] c1=0.06264187441531861, c2=0.08368275418821208 ..................
[CV]  c1=0.06264187441531861, c2=0.08368275418821208, score=0.729762 -   1.4s
[CV] c1=0.440294200204495, c2=0.042265900320879186 ...................
[CV]  c1=0.440294200204495, c2=0.042265900320879186, score=0.805908 -   1.8s
[CV] c1=0.44236215757129377, c2=0.010328827627062689 .................
[CV]  c1=0.44236215757129377, c2=0.010328827627062689, score=0.847562 -   1.7s
[CV] c1=0.2021950333498171, c2=0.03872219602581385 ...................
[CV]  c1=0.2021950333498171, c2=0.03872219602581385, score=0.900642 -   1.6s
[CV] c1=0.7144454519725062, c2=0.12391880591153648 ...................
[CV]  c1=0.7144454519725062, c2=0.12391880591153648, score=0.870193 -   1.7s
[CV] c1=0.36572766304559146, c2=0.015398752845799696 .................
[CV]  c1=0.36572766304559146, c2=0.015398752845799696, score=0.726714 -   1.3s
[CV] c1=0.5791313860342686, c2=0.06251529854870373 ...................
[CV]  c1=0.5791313860342686, c2=0.06251529854870373, score=0.721752 -   1.3s
[CV] c1=0.5770309740427608, c2=0.036355523533568905 ..................
[CV]  c1=0.5770309740427608, c2=0.036355523533568905, score=0.812727 -   1.7s
[CV] c1=1.0193227434590308, c2=0.07196345230052521 ...................
[CV]  c1=1.0193227434590308, c2=0.07196345230052521, score=0.870436 -   1.9s
[CV] c1=0.009141394765375906, c2=0.048157009521160886 ................
[CV]  c1=0.009141394765375906, c2=0.048157009521160886, score=0.873712 -   1.6s
[CV] c1=0.3515923093214444, c2=0.020027653251094513 ..................
[CV]  c1=0.3515923093214444, c2=0.020027653251094513, score=0.857234 -   1.8s
[CV] c1=0.6311123160190643, c2=0.0037165831207117716 .................
[CV]  c1=0.6311123160190643, c2=0.0037165831207117716, score=0.729889 -   1.9s
[CV] c1=0.11600895153565455, c2=0.06372020132758106 ..................
[CV]  c1=0.11600895153565455, c2=0.06372020132758106, score=0.793448 -   1.7s
[CV] c1=1.0109019787979716, c2=0.014149852159446042 ..................
[CV]  c1=1.0109019787979716, c2=0.014149852159446042, score=0.785482 -   1.6s
[CV] c1=0.44236215757129377, c2=0.010328827627062689 .................
[CV]  c1=0.44236215757129377, c2=0.010328827627062689, score=0.765730 -   1.7s
[CV] c1=1.5530184132136042, c2=0.014989860790205268 ..................
[CV]  c1=1.5530184132136042, c2=0.014989860790205268, score=0.638511 -   1.8s
[CV] c1=0.7144454519725062, c2=0.12391880591153648 ...................
[CV]  c1=0.7144454519725062, c2=0.12391880591153648, score=0.647410 -   1.4s
[CV] c1=0.2158392462354741, c2=0.0243862131714621 ....................
[CV]  c1=0.2158392462354741, c2=0.0243862131714621, score=0.846325 -   1.7s
[CV] c1=0.5791313860342686, c2=0.06251529854870373 ...................
[CV]  c1=0.5791313860342686, c2=0.06251529854870373, score=0.823695 -   1.7s
[CV] c1=1.0106277243212232, c2=0.01414684611672486 ...................
[CV]  c1=1.0106277243212232, c2=0.01414684611672486, score=0.867854 -   1.7s
[CV] c1=0.8430672523433665, c2=0.02480806903045749 ...................
[CV]  c1=0.8430672523433665, c2=0.02480806903045749, score=0.797136 -   1.7s
[CV] c1=0.37640759918345446, c2=0.01835815388575515 ..................
[CV]  c1=0.37640759918345446, c2=0.01835815388575515, score=0.857763 -   1.6s
[CV] c1=0.027751507240697162, c2=0.07798495149261386 .................
[CV]  c1=0.027751507240697162, c2=0.07798495149261386, score=0.818714 -   1.7s
[CV] c1=0.7007425322429676, c2=0.020278738076881343 ..................
[CV]  c1=0.7007425322429676, c2=0.020278738076881343, score=0.820876 -   1.6s
[CV] c1=0.1828235708712969, c2=0.029610811207807765 ..................
[CV]  c1=0.1828235708712969, c2=0.029610811207807765, score=0.863073 -   1.8s
[CV] c1=1.0109019787979716, c2=0.014149852159446042 ..................
[CV]  c1=1.0109019787979716, c2=0.014149852159446042, score=0.668186 -   1.7s
[CV] c1=0.44236215757129377, c2=0.010328827627062689 .................
[CV]  c1=0.44236215757129377, c2=0.010328827627062689, score=0.834695 -   1.7s
[CV] c1=0.2021950333498171, c2=0.03872219602581385 ...................
[CV]  c1=0.2021950333498171, c2=0.03872219602581385, score=0.731707 -   1.5s
[CV] c1=0.3280804916509128, c2=0.09758597337368337 ...................
[CV]  c1=0.3280804916509128, c2=0.09758597337368337, score=0.880892 -   1.6s
[CV] c1=0.02271430581976417, c2=0.018279921985048547 .................
[CV]  c1=0.02271430581976417, c2=0.018279921985048547, score=0.870810 -   1.6s
[CV] c1=0.5791313860342686, c2=0.06251529854870373 ...................
[CV]  c1=0.5791313860342686, c2=0.06251529854870373, score=0.886193 -   1.7s
[CV] c1=0.9156473362680082, c2=0.0025855728792164175 .................
[CV]  c1=0.9156473362680082, c2=0.0025855728792164175, score=0.872712 -   1.7s
[CV] c1=0.24727111278866307, c2=0.09614051707660934 ..................
[CV]  c1=0.24727111278866307, c2=0.09614051707660934, score=0.888577 -   1.7s
[CV] c1=0.009141394765375906, c2=0.048157009521160886 ................
[CV]  c1=0.009141394765375906, c2=0.048157009521160886, score=0.825058 -   1.7s
[CV] c1=0.027751507240697162, c2=0.07798495149261386 .................
[CV]  c1=0.027751507240697162, c2=0.07798495149261386, score=0.885114 -   1.7s
[CV] c1=0.7007425322429676, c2=0.020278738076881343 ..................
[CV]  c1=0.7007425322429676, c2=0.020278738076881343, score=0.719050 -   1.7s
[CV] c1=0.47916609652536646, c2=0.04589151771860001 ..................
[CV]  c1=0.47916609652536646, c2=0.04589151771860001, score=0.811844 -   1.6s
[CV] c1=0.08855151422492792, c2=0.05903301509465965 ..................
[CV]  c1=0.08855151422492792, c2=0.05903301509465965, score=0.721443 -   1.4s
[CV] c1=0.9803582872915763, c2=0.04081623504661777 ...................
[CV]  c1=0.9803582872915763, c2=0.04081623504661777, score=0.668493 -   1.8s
[CV] c1=0.270286715089648, c2=0.019098350607743765 ...................
[CV]  c1=0.270286715089648, c2=0.019098350607743765, score=0.850314 -   1.7s
[CV] c1=0.3244124614061883, c2=0.022867130991919858 ..................
[CV]  c1=0.3244124614061883, c2=0.022867130991919858, score=0.755968 -   1.4s
[CV] c1=0.8888108376336975, c2=0.006060324848690286 ..................
[CV]  c1=0.8888108376336975, c2=0.006060324848690286, score=0.756943 -   1.7s
[CV] c1=0.04866853868733896, c2=0.04442729506131668 ..................
[CV]  c1=0.04866853868733896, c2=0.04442729506131668, score=0.866301 -   1.6s
[CV] c1=0.05948860737592098, c2=0.003429771556315452 .................
[CV]  c1=0.05948860737592098, c2=0.003429771556315452, score=0.757491 -   1.3s
[CV] c1=0.35275021758046426, c2=0.04499199054276101 ..................
[CV]  c1=0.35275021758046426, c2=0.04499199054276101, score=0.896409 -   1.7s
[CV] c1=0.7095518220823863, c2=0.02759719276564466 ...................
[CV]  c1=0.7095518220823863, c2=0.02759719276564466, score=0.709770 -   1.3s
[CV] c1=0.24295008629099907, c2=0.018405210566823937 .................
[CV]  c1=0.24295008629099907, c2=0.018405210566823937, score=0.813717 -   1.6s
[CV] c1=0.7007425322429676, c2=0.020278738076881343 ..................
[CV]  c1=0.7007425322429676, c2=0.020278738076881343, score=0.874762 -   1.7s
[CV] c1=0.14438025941896088, c2=0.028327414436956046 .................
[CV]  c1=0.14438025941896088, c2=0.028327414436956046, score=0.861556 -   1.6s
[CV] c1=1.0109019787979716, c2=0.014149852159446042 ..................
[CV]  c1=1.0109019787979716, c2=0.014149852159446042, score=0.659590 -   1.8s
[CV] c1=0.017943512837850305, c2=0.0022487262678314275 ...............
[CV]  c1=0.017943512837850305, c2=0.0022487262678314275, score=0.839865 -   1.6s
[CV] c1=0.2021950333498171, c2=0.03872219602581385 ...................
[CV]  c1=0.2021950333498171, c2=0.03872219602581385, score=0.792691 -   1.7s
[CV] c1=0.7144454519725062, c2=0.12391880591153648 ...................
[CV]  c1=0.7144454519725062, c2=0.12391880591153648, score=0.795633 -   1.7s
[CV] c1=0.8888108376336975, c2=0.006060324848690286 ..................
[CV]  c1=0.8888108376336975, c2=0.006060324848690286, score=0.702684 -   1.7s
[CV] c1=0.09184418876156153, c2=0.002478894182958172 .................
[CV]  c1=0.09184418876156153, c2=0.002478894182958172, score=0.880429 -   1.6s
[CV] c1=0.9590926022971583, c2=0.003041839720964002 ..................
[CV]  c1=0.9590926022971583, c2=0.003041839720964002, score=0.792502 -   1.6s
[CV] c1=0.35275021758046426, c2=0.04499199054276101 ..................
[CV]  c1=0.35275021758046426, c2=0.04499199054276101, score=0.848581 -   1.7s
[CV] c1=0.7095518220823863, c2=0.02759719276564466 ...................
[CV]  c1=0.7095518220823863, c2=0.02759719276564466, score=0.818198 -   1.7s
[CV] c1=0.30362068076855453, c2=0.023653261608667753 .................
[CV]  c1=0.30362068076855453, c2=0.023653261608667753, score=0.814662 -   1.8s
[CV] c1=0.052604548955325396, c2=0.1369347515245073 ..................
[CV]  c1=0.052604548955325396, c2=0.1369347515245073, score=0.748502 -   1.4s
[CV] c1=0.06264187441531861, c2=0.08368275418821208 ..................
[CV]  c1=0.06264187441531861, c2=0.08368275418821208, score=0.780183 -   1.8s
[CV] c1=0.11229661004904948, c2=0.003483816962548833 .................
[CV]  c1=0.11229661004904948, c2=0.003483816962548833, score=0.721789 -   1.4s
[CV] c1=0.017943512837850305, c2=0.0022487262678314275 ...............
[CV]  c1=0.017943512837850305, c2=0.0022487262678314275, score=0.889719 -   1.6s
[CV] c1=1.5530184132136042, c2=0.014989860790205268 ..................
[CV]  c1=1.5530184132136042, c2=0.014989860790205268, score=0.572761 -   1.8s
[CV] c1=0.7144454519725062, c2=0.12391880591153648 ...................
[CV]  c1=0.7144454519725062, c2=0.12391880591153648, score=0.709039 -   1.8s
[CV] c1=0.8888108376336975, c2=0.006060324848690286 ..................
[CV]  c1=0.8888108376336975, c2=0.006060324848690286, score=0.786536 -   1.5s
[CV] c1=0.09184418876156153, c2=0.002478894182958172 .................
[CV]  c1=0.09184418876156153, c2=0.002478894182958172, score=0.761111 -   1.3s
[CV] c1=0.9156473362680082, c2=0.0025855728792164175 .................
[CV]  c1=0.9156473362680082, c2=0.0025855728792164175, score=0.806450 -   1.6s
[CV] c1=0.24727111278866307, c2=0.09614051707660934 ..................
[CV]  c1=0.24727111278866307, c2=0.09614051707660934, score=0.835253 -   1.8s
[CV] c1=0.37640759918345446, c2=0.01835815388575515 ..................
[CV]  c1=0.37640759918345446, c2=0.01835815388575515, score=0.783041 -   2.0s
[CV] c1=0.4714505534120228, c2=0.08623763385527165 ...................
[CV]  c1=0.4714505534120228, c2=0.08623763385527165, score=0.692932 -   1.4s
[CV] c1=0.7052185299632588, c2=0.03971822609965829 ...................
[CV]  c1=0.7052185299632588, c2=0.03971822609965829, score=0.863497 -   1.7s
[CV] c1=0.47916609652536646, c2=0.04589151771860001 ..................
[CV]  c1=0.47916609652536646, c2=0.04589151771860001, score=0.830181 -   1.7s
[CV] c1=0.08855151422492792, c2=0.05903301509465965 ..................
[CV]  c1=0.08855151422492792, c2=0.05903301509465965, score=0.781828 -   1.7s
[CV] c1=0.48731537610170395, c2=0.015419061406216739 .................
[CV]  c1=0.48731537610170395, c2=0.015419061406216739, score=0.898512 -   1.8s
[CV] c1=0.45126393560395117, c2=0.0203280611345758 ...................
[CV]  c1=0.45126393560395117, c2=0.0203280611345758, score=0.717801 -   1.4s
[CV] c1=0.3244124614061883, c2=0.022867130991919858 ..................
[CV]  c1=0.3244124614061883, c2=0.022867130991919858, score=0.781028 -   1.8s
[CV] c1=0.4294946871112133, c2=0.02917656425016424 ...................
[CV]  c1=0.4294946871112133, c2=0.02917656425016424, score=0.715827 -   1.4s
[CV] c1=0.020924349400457096, c2=0.021339419140930443 ................
[CV]  c1=0.020924349400457096, c2=0.021339419140930443, score=0.870191 -   1.7s
[CV] c1=0.14740481577515432, c2=0.012141285722128005 .................
[CV]  c1=0.14740481577515432, c2=0.012141285722128005, score=0.732047 -   1.3s
[CV] c1=0.35275021758046426, c2=0.04499199054276101 ..................
[CV]  c1=0.35275021758046426, c2=0.04499199054276101, score=0.846730 -   1.8s
[CV] c1=0.7091064308014624, c2=0.06935344219549476 ...................
[CV]  c1=0.7091064308014624, c2=0.06935344219549476, score=0.695892 -   1.4s
[CV] c1=0.30362068076855453, c2=0.023653261608667753 .................
[CV]  c1=0.30362068076855453, c2=0.023653261608667753, score=0.909444 -   1.8s
[CV] c1=0.7052185299632588, c2=0.03971822609965829 ...................
[CV]  c1=0.7052185299632588, c2=0.03971822609965829, score=0.721382 -   1.6s
[CV] c1=0.2778201819805721, c2=0.04088874967264535 ...................
[CV]  c1=0.2778201819805721, c2=0.04088874967264535, score=0.826596 -   1.7s
[CV] c1=0.12356707545957268, c2=0.0030080027860692506 ................
[CV]  c1=0.12356707545957268, c2=0.0030080027860692506, score=0.857866 -   1.8s
[CV] c1=0.4944691047577868, c2=0.022388138976063558 ..................
[CV]  c1=0.4944691047577868, c2=0.022388138976063558, score=0.841770 -   1.6s
[CV] c1=0.5797646795098433, c2=7.948723091585018e-05 .................
[CV]  c1=0.5797646795098433, c2=7.948723091585018e-05, score=0.746681 -   1.6s
[CV] c1=0.3244124614061883, c2=0.022867130991919858 ..................
[CV]  c1=0.3244124614061883, c2=0.022867130991919858, score=0.858741 -   1.5s
[CV] c1=0.8832396042157629, c2=0.002934913991842321 ..................
[CV]  c1=0.8832396042157629, c2=0.002934913991842321, score=0.797793 -   1.6s
[CV] c1=0.04866853868733896, c2=0.04442729506131668 ..................
[CV]  c1=0.04866853868733896, c2=0.04442729506131668, score=0.796257 -   1.7s
[CV] c1=0.14740481577515432, c2=0.012141285722128005 .................
[CV]  c1=0.14740481577515432, c2=0.012141285722128005, score=0.902448 -   1.7s
[CV] c1=0.3191178423070526, c2=0.027903946912236285 ..................
[CV]  c1=0.3191178423070526, c2=0.027903946912236285, score=0.722568 -   1.4s
[CV] c1=0.7095518220823863, c2=0.02759719276564466 ...................
[CV]  c1=0.7095518220823863, c2=0.02759719276564466, score=0.836425 -   1.6s
[CV] c1=0.30362068076855453, c2=0.023653261608667753 .................
[CV]  c1=0.30362068076855453, c2=0.023653261608667753, score=0.785415 -   1.7s
[CV] c1=0.7052185299632588, c2=0.03971822609965829 ...................
[CV]  c1=0.7052185299632588, c2=0.03971822609965829, score=0.824982 -   1.6s
[CV] c1=0.2778201819805721, c2=0.04088874967264535 ...................
[CV]  c1=0.2778201819805721, c2=0.04088874967264535, score=0.871305 -   1.7s
[CV] c1=0.08855151422492792, c2=0.05903301509465965 ..................
[CV]  c1=0.08855151422492792, c2=0.05903301509465965, score=0.873890 -   1.7s
[CV] c1=0.4944691047577868, c2=0.022388138976063558 ..................
[CV]  c1=0.4944691047577868, c2=0.022388138976063558, score=0.744978 -   1.7s
[CV] c1=0.5797646795098433, c2=7.948723091585018e-05 .................
[CV]  c1=0.5797646795098433, c2=7.948723091585018e-05, score=0.806062 -   1.6s
[CV] c1=0.3244124614061883, c2=0.022867130991919858 ..................
[CV]  c1=0.3244124614061883, c2=0.022867130991919858, score=0.849863 -   1.7s
[CV] c1=0.4294946871112133, c2=0.02917656425016424 ...................
[CV]  c1=0.4294946871112133, c2=0.02917656425016424, score=0.903748 -   1.7s
[CV] c1=1.0028660783342958, c2=0.010978200620870404 ..................
[CV]  c1=1.0028660783342958, c2=0.010978200620870404, score=0.859653 -   1.6s
[CV] c1=0.7699970837504383, c2=0.2065423991195804 ....................
[CV]  c1=0.7699970837504383, c2=0.2065423991195804, score=0.649458 -   1.4s
[CV] c1=0.3191178423070526, c2=0.027903946912236285 ..................
[CV]  c1=0.3191178423070526, c2=0.027903946912236285, score=0.903141 -   1.7s
[CV] c1=1.3696727228503591, c2=0.30363259099003204 ...................
[CV]  c1=1.3696727228503591, c2=0.30363259099003204, score=0.573866 -   1.3s
[CV] c1=0.30362068076855453, c2=0.023653261608667753 .................
[CV]  c1=0.30362068076855453, c2=0.023653261608667753, score=0.864206 -   1.7s
[CV] c1=0.052604548955325396, c2=0.1369347515245073 ..................
[CV]  c1=0.052604548955325396, c2=0.1369347515245073, score=0.881275 -   1.6s
[CV] c1=0.06264187441531861, c2=0.08368275418821208 ..................
[CV]  c1=0.06264187441531861, c2=0.08368275418821208, score=0.798269 -   1.7s
[CV] c1=0.11229661004904948, c2=0.003483816962548833 .................
[CV]  c1=0.11229661004904948, c2=0.003483816962548833, score=0.891664 -   1.7s
[CV] c1=0.9803582872915763, c2=0.04081623504661777 ...................
[CV]  c1=0.9803582872915763, c2=0.04081623504661777, score=0.651144 -   1.3s
[CV] c1=1.5530184132136042, c2=0.014989860790205268 ..................
[CV]  c1=1.5530184132136042, c2=0.014989860790205268, score=0.760122 -   1.6s
[CV] c1=0.3280804916509128, c2=0.09758597337368337 ...................
[CV]  c1=0.3280804916509128, c2=0.09758597337368337, score=0.762643 -   1.7s
[CV] c1=0.02271430581976417, c2=0.018279921985048547 .................
[CV]  c1=0.02271430581976417, c2=0.018279921985048547, score=0.805571 -   1.7s
[CV] c1=1.0760395040448065, c2=0.027802496774365467 ..................
[CV]  c1=1.0760395040448065, c2=0.027802496774365467, score=0.870436 -   1.7s
[CV] c1=1.0106277243212232, c2=0.01414684611672486 ...................
[CV]  c1=1.0106277243212232, c2=0.01414684611672486, score=0.677090 -   1.7s
[CV] c1=0.8430672523433665, c2=0.02480806903045749 ...................
[CV]  c1=0.8430672523433665, c2=0.02480806903045749, score=0.830613 -   1.8s
[CV] c1=0.7095518220823863, c2=0.02759719276564466 ...................
[CV]  c1=0.7095518220823863, c2=0.02759719276564466, score=0.694730 -   1.8s
[CV] c1=0.4714505534120228, c2=0.08623763385527165 ...................
[CV]  c1=0.4714505534120228, c2=0.08623763385527165, score=0.880892 -   1.7s
[CV] c1=0.052604548955325396, c2=0.1369347515245073 ..................
[CV]  c1=0.052604548955325396, c2=0.1369347515245073, score=0.792154 -   1.6s
[CV] c1=0.11600895153565455, c2=0.06372020132758106 ..................
[CV]  c1=0.11600895153565455, c2=0.06372020132758106, score=0.875240 -   1.4s
[CV] c1=2.162768421921869, c2=0.010707780638643145 ...................
[CV]  c1=2.162768421921869, c2=0.010707780638643145, score=0.733800 -   1.5s
[CV] c1=0.6451639834023113, c2=0.06412451624378913 ...................
[CV]  c1=0.6451639834023113, c2=0.06412451624378913, score=0.723920 -   1.4s
[CV] c1=0.48731537610170395, c2=0.015419061406216739 .................
[CV]  c1=0.48731537610170395, c2=0.015419061406216739, score=0.845030 -   1.7s
[CV] c1=0.45126393560395117, c2=0.0203280611345758 ...................
[CV]  c1=0.45126393560395117, c2=0.0203280611345758, score=0.859635 -   1.7s
[CV] c1=0.10292412172091198, c2=0.04683111794054241 ..................
[CV]  c1=0.10292412172091198, c2=0.04683111794054241, score=0.721173 -   1.2s
[CV] c1=0.05741869563905075, c2=0.025697795273105884 .................
[CV]  c1=0.05741869563905075, c2=0.025697795273105884, score=0.783495 -   1.8s
[CV] c1=1.0028660783342958, c2=0.010978200620870404 ..................
[CV]  c1=1.0028660783342958, c2=0.010978200620870404, score=0.648692 -   1.3s
[CV] c1=0.05948860737592098, c2=0.003429771556315452 .................
[CV]  c1=0.05948860737592098, c2=0.003429771556315452, score=0.817390 -   1.8s
[CV] c1=0.3191178423070526, c2=0.027903946912236285 ..................
[CV]  c1=0.3191178423070526, c2=0.027903946912236285, score=0.771167 -   1.8s
[CV] c1=1.3696727228503591, c2=0.30363259099003204 ...................
[CV]  c1=1.3696727228503591, c2=0.30363259099003204, score=0.746672 -   1.5s
[CV] c1=1.5772151403862509, c2=0.004520629842590307 ..................
[CV]  c1=1.5772151403862509, c2=0.004520629842590307, score=0.725685 -   1.6s
[CV] c1=0.41376429703159523, c2=0.005860414429836689 .................
[CV]  c1=0.41376429703159523, c2=0.005860414429836689, score=0.718875 -   1.4s
[CV] c1=0.06264187441531861, c2=0.08368275418821208 ..................
[CV]  c1=0.06264187441531861, c2=0.08368275418821208, score=0.863073 -   1.6s
[CV] c1=0.4659222838460465, c2=0.0230901831217119 ....................
[CV]  c1=0.4659222838460465, c2=0.0230901831217119, score=0.841354 -   1.7s
[CV] c1=0.9803582872915763, c2=0.04081623504661777 ...................
[CV]  c1=0.9803582872915763, c2=0.04081623504661777, score=0.665254 -   1.9s
[CV] c1=0.270286715089648, c2=0.019098350607743765 ...................
[CV]  c1=0.270286715089648, c2=0.019098350607743765, score=0.871305 -   1.7s
[CV] c1=0.17454549261447452, c2=0.0518418340827318 ...................
[CV]  c1=0.17454549261447452, c2=0.0518418340827318, score=0.871305 -   1.6s
[CV] c1=0.8832396042157629, c2=0.002934913991842321 ..................
[CV]  c1=0.8832396042157629, c2=0.002934913991842321, score=0.716187 -   1.7s
[CV] c1=0.020924349400457096, c2=0.021339419140930443 ................
[CV]  c1=0.020924349400457096, c2=0.021339419140930443, score=0.757914 -   1.3s
[CV] c1=0.9590926022971583, c2=0.003041839720964002 ..................
[CV]  c1=0.9590926022971583, c2=0.003041839720964002, score=0.698336 -   1.8s
[CV] c1=0.40374070237583914, c2=0.3113432484171841 ...................
[CV]  c1=0.40374070237583914, c2=0.3113432484171841, score=0.856095 -   1.7s
[CV] c1=0.7091064308014624, c2=0.06935344219549476 ...................
[CV]  c1=0.7091064308014624, c2=0.06935344219549476, score=0.868154 -   1.7s
[CV] c1=0.4714505534120228, c2=0.08623763385527165 ...................
[CV]  c1=0.4714505534120228, c2=0.08623763385527165, score=0.743223 -   1.7s
[CV] c1=0.052604548955325396, c2=0.1369347515245073 ..................
[CV]  c1=0.052604548955325396, c2=0.1369347515245073, score=0.860031 -   1.6s
[CV] c1=0.14438025941896088, c2=0.028327414436956046 .................
[CV]  c1=0.14438025941896088, c2=0.028327414436956046, score=0.741876 -   1.1s
[CV] c1=2.162768421921869, c2=0.010707780638643145 ...................
[CV]  c1=2.162768421921869, c2=0.010707780638643145, score=0.771909 -   1.6s
[CV] c1=0.6451639834023113, c2=0.06412451624378913 ...................
[CV]  c1=0.6451639834023113, c2=0.06412451624378913, score=0.730671 -   1.8s
[CV] c1=0.46833737268208286, c2=0.14103058243258074 ..................
[CV]  c1=0.46833737268208286, c2=0.14103058243258074, score=0.804330 -   1.8s
[CV] c1=0.35601151497808114, c2=0.21745873681545114 ..................
[CV]  c1=0.35601151497808114, c2=0.21745873681545114, score=0.857178 -   1.7s
[CV] c1=0.2158392462354741, c2=0.0243862131714621 ....................
[CV]  c1=0.2158392462354741, c2=0.0243862131714621, score=0.861556 -   1.7s
[CV] c1=0.9959147479353656, c2=0.012575094833015252 ..................
[CV]  c1=0.9959147479353656, c2=0.012575094833015252, score=0.728800 -   1.9s
[CV] c1=1.0106277243212232, c2=0.01414684611672486 ...................
[CV]  c1=1.0106277243212232, c2=0.01414684611672486, score=0.651144 -   1.5s
[CV] c1=0.24727111278866307, c2=0.09614051707660934 ..................
[CV]  c1=0.24727111278866307, c2=0.09614051707660934, score=0.773693 -   1.7s
[CV] c1=0.009141394765375906, c2=0.048157009521160886 ................
[CV]  c1=0.009141394765375906, c2=0.048157009521160886, score=0.782389 -   1.8s
[CV] c1=0.027751507240697162, c2=0.07798495149261386 .................
[CV]  c1=0.027751507240697162, c2=0.07798495149261386, score=0.817051 -   1.7s
[CV] c1=0.7007425322429676, c2=0.020278738076881343 ..................
[CV]  c1=0.7007425322429676, c2=0.020278738076881343, score=0.783115 -   1.9s
[CV] c1=0.5370381968634097, c2=0.007397345640372724 ..................
[CV]  c1=0.5370381968634097, c2=0.007397345640372724, score=0.763383 -   1.8s
[CV] c1=0.12356707545957268, c2=0.0030080027860692506 ................
[CV]  c1=0.12356707545957268, c2=0.0030080027860692506, score=0.731399 -   1.4s
[CV] c1=0.017943512837850305, c2=0.0022487262678314275 ...............
[CV]  c1=0.017943512837850305, c2=0.0022487262678314275, score=0.807530 -   1.3s
[CV] c1=0.8808309099963308, c2=0.006444884310083607 ..................
[CV]  c1=0.8808309099963308, c2=0.006444884310083607, score=0.798546 -   1.8s
[CV] c1=0.3280804916509128, c2=0.09758597337368337 ...................
[CV]  c1=0.3280804916509128, c2=0.09758597337368337, score=0.868501 -   1.7s
[CV] c1=0.36572766304559146, c2=0.015398752845799696 .................
[CV]  c1=0.36572766304559146, c2=0.015398752845799696, score=0.913807 -   1.8s
[CV] c1=1.0760395040448065, c2=0.027802496774365467 ..................
[CV]  c1=1.0760395040448065, c2=0.027802496774365467, score=0.649041 -   1.7s
[CV] c1=1.0106277243212232, c2=0.01414684611672486 ...................
[CV]  c1=1.0106277243212232, c2=0.01414684611672486, score=0.696294 -   1.7s
[CV] c1=0.35275021758046426, c2=0.04499199054276101 ..................
[CV]  c1=0.35275021758046426, c2=0.04499199054276101, score=0.779218 -   2.0s
[CV] c1=1.3696727228503591, c2=0.30363259099003204 ...................
[CV]  c1=1.3696727228503591, c2=0.30363259099003204, score=0.813200 -   1.6s
[CV] c1=0.4714505534120228, c2=0.08623763385527165 ...................
[CV]  c1=0.4714505534120228, c2=0.08623763385527165, score=0.815381 -   1.7s
[CV] c1=0.41376429703159523, c2=0.005860414429836689 .................
[CV]  c1=0.41376429703159523, c2=0.005860414429836689, score=0.903694 -   1.6s
[CV] c1=2.0970135780004235, c2=0.14954724834707042 ...................
[CV]  c1=2.0970135780004235, c2=0.14954724834707042, score=0.768974 -   1.6s
[CV] c1=2.162768421921869, c2=0.010707780638643145 ...................
[CV]  c1=2.162768421921869, c2=0.010707780638643145, score=0.625314 -   1.7s
[CV] c1=0.6451639834023113, c2=0.06412451624378913 ...................
[CV]  c1=0.6451639834023113, c2=0.06412451624378913, score=0.809908 -   1.8s
[CV] c1=0.8808309099963308, c2=0.006444884310083607 ..................
[CV]  c1=0.8808309099963308, c2=0.006444884310083607, score=0.787618 -   1.8s
[CV] c1=0.3280804916509128, c2=0.09758597337368337 ...................
[CV]  c1=0.3280804916509128, c2=0.09758597337368337, score=0.695826 -   1.4s
[CV] c1=0.2158392462354741, c2=0.0243862131714621 ....................
[CV]  c1=0.2158392462354741, c2=0.0243862131714621, score=0.717354 -   1.5s
[CV] c1=0.1461848519537141, c2=0.1468292987091183 ....................
[CV]  c1=0.1461848519537141, c2=0.1468292987091183, score=0.858778 -   1.6s
[CV] c1=0.5770309740427608, c2=0.036355523533568905 ..................
[CV]  c1=0.5770309740427608, c2=0.036355523533568905, score=0.819411 -   1.6s
[CV] c1=0.812150282229804, c2=0.14428418652386968 ....................
[CV]  c1=0.812150282229804, c2=0.14428418652386968, score=0.648208 -   1.4s
[CV] c1=0.3191178423070526, c2=0.027903946912236285 ..................
[CV]  c1=0.3191178423070526, c2=0.027903946912236285, score=0.805908 -   1.8s
[CV] c1=0.6974508445657263, c2=0.0061796808022403305 .................
[CV]  c1=0.6974508445657263, c2=0.0061796808022403305, score=0.691705 -   1.4s
[CV] c1=1.5772151403862509, c2=0.004520629842590307 ..................
[CV]  c1=1.5772151403862509, c2=0.004520629842590307, score=0.580233 -   1.4s
[CV] c1=0.7052185299632588, c2=0.03971822609965829 ...................
[CV]  c1=0.7052185299632588, c2=0.03971822609965829, score=0.792138 -   1.7s
[CV] c1=2.0970135780004235, c2=0.14954724834707042 ...................
[CV]  c1=2.0970135780004235, c2=0.14954724834707042, score=0.562783 -   1.5s
[CV] c1=2.162768421921869, c2=0.010707780638643145 ...................
[CV]  c1=2.162768421921869, c2=0.010707780638643145, score=0.555468 -   1.3s
[CV] c1=0.015845774823772495, c2=0.0735217647594838 ..................
[CV]  c1=0.015845774823772495, c2=0.0735217647594838, score=0.817051 -   1.7s
[CV] c1=0.48731537610170395, c2=0.015419061406216739 .................
[CV]  c1=0.48731537610170395, c2=0.015419061406216739, score=0.761748 -   1.8s
[CV] c1=0.45126393560395117, c2=0.0203280611345758 ...................
[CV]  c1=0.45126393560395117, c2=0.0203280611345758, score=0.765314 -   1.8s
[CV] c1=0.10292412172091198, c2=0.04683111794054241 ..................
[CV]  c1=0.10292412172091198, c2=0.04683111794054241, score=0.888983 -   1.8s
[CV] c1=0.1461848519537141, c2=0.1468292987091183 ....................
[CV]  c1=0.1461848519537141, c2=0.1468292987091183, score=0.785726 -   1.8s
[CV] c1=0.017834565506668152, c2=0.08352731778340501 .................
[CV]  c1=0.017834565506668152, c2=0.08352731778340501, score=0.825058 -   1.8s
[CV] c1=1.0193227434590308, c2=0.07196345230052521 ...................
[CV]  c1=1.0193227434590308, c2=0.07196345230052521, score=0.655299 -   1.8s
[CV] c1=0.009141394765375906, c2=0.048157009521160886 ................
[CV]  c1=0.009141394765375906, c2=0.048157009521160886, score=0.770689 -   1.4s
[CV] c1=0.3515923093214444, c2=0.020027653251094513 ..................
[CV]  c1=0.3515923093214444, c2=0.020027653251094513, score=0.909197 -   1.7s
[CV] c1=0.4889525110077135, c2=0.027725522058662952 ..................
[CV]  c1=0.4889525110077135, c2=0.027725522058662952, score=0.725966 -   1.4s
[CV] c1=1.2739179747040796, c2=0.08427745265356934 ...................
[CV]  c1=1.2739179747040796, c2=0.08427745265356934, score=0.793213 -   1.3s
[CV] c1=0.06264187441531861, c2=0.08368275418821208 ..................
[CV]  c1=0.06264187441531861, c2=0.08368275418821208, score=0.892734 -   1.7s
[CV] c1=0.4659222838460465, c2=0.0230901831217119 ....................
[CV]  c1=0.4659222838460465, c2=0.0230901831217119, score=0.744389 -   1.7s
[CV] c1=0.017943512837850305, c2=0.0022487262678314275 ...............
[CV]  c1=0.017943512837850305, c2=0.0022487262678314275, score=0.793394 -   1.7s
[CV] c1=0.009161265933843936, c2=0.0999278914659625 ..................
[CV]  c1=0.009161265933843936, c2=0.0999278914659625, score=0.818818 -   1.7s
[CV] c1=1.5806831277117883, c2=0.0327931925106154 ....................
[CV]  c1=1.5806831277117883, c2=0.0327931925106154, score=0.577345 -   1.8s
[CV] c1=0.8832396042157629, c2=0.002934913991842321 ..................
[CV]  c1=0.8832396042157629, c2=0.002934913991842321, score=0.770375 -   1.7s
[CV] c1=0.020924349400457096, c2=0.021339419140930443 ................
[CV]  c1=0.020924349400457096, c2=0.021339419140930443, score=0.857222 -   1.6s
[CV] c1=0.14740481577515432, c2=0.012141285722128005 .................
[CV]  c1=0.14740481577515432, c2=0.012141285722128005, score=0.798771 -   1.8s
[CV] c1=0.21290376128481542, c2=0.030268366049533132 .................
[CV]  c1=0.21290376128481542, c2=0.030268366049533132, score=0.733042 -   1.4s
[CV] c1=0.7091064308014624, c2=0.06935344219549476 ...................
[CV]  c1=0.7091064308014624, c2=0.06935344219549476, score=0.794685 -   1.7s
[CV] c1=1.5772151403862509, c2=0.004520629842590307 ..................
[CV]  c1=1.5772151403862509, c2=0.004520629842590307, score=0.637249 -   1.7s
[CV] c1=0.41376429703159523, c2=0.005860414429836689 .................
[CV]  c1=0.41376429703159523, c2=0.005860414429836689, score=0.829628 -   1.5s
[CV] c1=0.47916609652536646, c2=0.04589151771860001 ..................
[CV]  c1=0.47916609652536646, c2=0.04589151771860001, score=0.741647 -   1.7s
[CV] c1=0.08855151422492792, c2=0.05903301509465965 ..................
[CV]  c1=0.08855151422492792, c2=0.05903301509465965, score=0.864061 -   1.5s
[CV] c1=0.4944691047577868, c2=0.022388138976063558 ..................
[CV]  c1=0.4944691047577868, c2=0.022388138976063558, score=0.893221 -   1.6s
[CV] c1=0.270286715089648, c2=0.019098350607743765 ...................
[CV]  c1=0.270286715089648, c2=0.019098350607743765, score=0.787550 -   1.7s
[CV] c1=0.17454549261447452, c2=0.0518418340827318 ...................
[CV]  c1=0.17454549261447452, c2=0.0518418340827318, score=0.791397 -   1.8s
[CV] c1=0.05741869563905075, c2=0.025697795273105884 .................
[CV]  c1=0.05741869563905075, c2=0.025697795273105884, score=0.858778 -   1.5s
[CV] c1=0.04866853868733896, c2=0.04442729506131668 ..................
[CV]  c1=0.04866853868733896, c2=0.04442729506131668, score=0.862702 -   1.8s
[CV] c1=0.14740481577515432, c2=0.012141285722128005 .................
[CV]  c1=0.14740481577515432, c2=0.012141285722128005, score=0.872230 -   1.6s
[CV] c1=0.3191178423070526, c2=0.027903946912236285 ..................
[CV]  c1=0.3191178423070526, c2=0.027903946912236285, score=0.854456 -   1.6s
[CV] c1=1.3696727228503591, c2=0.30363259099003204 ...................
[CV]  c1=1.3696727228503591, c2=0.30363259099003204, score=0.606325 -   1.8s
[CV] c1=0.37681502019395585, c2=0.1303005549979641 ...................
[CV]  c1=0.37681502019395585, c2=0.1303005549979641, score=0.698981 -   1.5s
[CV] c1=0.41376429703159523, c2=0.005860414429836689 .................
[CV]  c1=0.41376429703159523, c2=0.005860414429836689, score=0.847150 -   1.5s
[CV] c1=0.11600895153565455, c2=0.06372020132758106 ..................
[CV]  c1=0.11600895153565455, c2=0.06372020132758106, score=0.858778 -   1.3s
[CV] c1=2.162768421921869, c2=0.010707780638643145 ...................
[CV]  c1=2.162768421921869, c2=0.010707780638643145, score=0.556796 -   1.8s
[CV] c1=0.27820444668211725, c2=0.016819853060784675 .................
[CV]  c1=0.27820444668211725, c2=0.016819853060784675, score=0.741296 -   1.5s
[CV] c1=0.46833737268208286, c2=0.14103058243258074 ..................
[CV]  c1=0.46833737268208286, c2=0.14103058243258074, score=0.735459 -   1.7s
[CV] c1=0.35601151497808114, c2=0.21745873681545114 ..................
[CV]  c1=0.35601151497808114, c2=0.21745873681545114, score=0.861476 -   1.6s
[CV] c1=0.10292412172091198, c2=0.04683111794054241 ..................
[CV]  c1=0.10292412172091198, c2=0.04683111794054241, score=0.781828 -   1.7s
[CV] c1=0.9959147479353656, c2=0.012575094833015252 ..................
[CV]  c1=0.9959147479353656, c2=0.012575094833015252, score=0.668916 -   1.7s
[CV] c1=0.017834565506668152, c2=0.08352731778340501 .................
[CV]  c1=0.017834565506668152, c2=0.08352731778340501, score=0.854647 -   1.7s
[CV] c1=1.0193227434590308, c2=0.07196345230052521 ...................
[CV]  c1=1.0193227434590308, c2=0.07196345230052521, score=0.796089 -   1.6s
[CV] c1=0.8144164538600966, c2=0.0006645988660921196 .................
[CV]  c1=0.8144164538600966, c2=0.0006645988660921196, score=0.870360 -   1.6s
[CV] c1=0.3515923093214444, c2=0.020027653251094513 ..................
[CV]  c1=0.3515923093214444, c2=0.020027653251094513, score=0.721175 -   1.4s
[CV] c1=0.37681502019395585, c2=0.1303005549979641 ...................
[CV]  c1=0.37681502019395585, c2=0.1303005549979641, score=0.818022 -   1.7s
[CV] c1=0.3732564478159807, c2=0.15673031069517404 ...................
[CV]  c1=0.3732564478159807, c2=0.15673031069517404, score=0.705171 -   1.2s
[CV] c1=0.14438025941896088, c2=0.028327414436956046 .................
[CV]  c1=0.14438025941896088, c2=0.028327414436956046, score=0.881883 -   1.5s
[CV] c1=0.440294200204495, c2=0.042265900320879186 ...................
[CV]  c1=0.440294200204495, c2=0.042265900320879186, score=0.753106 -   1.7s
[CV] c1=0.27820444668211725, c2=0.016819853060784675 .................
[CV]  c1=0.27820444668211725, c2=0.016819853060784675, score=0.853389 -   1.6s
[CV] c1=0.8808309099963308, c2=0.006444884310083607 ..................
[CV]  c1=0.8808309099963308, c2=0.006444884310083607, score=0.688161 -   1.7s
[CV] c1=0.35601151497808114, c2=0.21745873681545114 ..................
[CV]  c1=0.35601151497808114, c2=0.21745873681545114, score=0.748230 -   1.8s
[CV] c1=0.02271430581976417, c2=0.018279921985048547 .................
[CV]  c1=0.02271430581976417, c2=0.018279921985048547, score=0.743813 -   1.3s
[CV] c1=0.1461848519537141, c2=0.1468292987091183 ....................
[CV]  c1=0.1461848519537141, c2=0.1468292987091183, score=0.789764 -   1.6s
[CV] c1=0.5770309740427608, c2=0.036355523533568905 ..................
[CV]  c1=0.5770309740427608, c2=0.036355523533568905, score=0.718131 -   1.4s
[CV] c1=0.7699970837504383, c2=0.2065423991195804 ....................
[CV]  c1=0.7699970837504383, c2=0.2065423991195804, score=0.872508 -   1.6s
[CV] c1=0.21290376128481542, c2=0.030268366049533132 .................
[CV]  c1=0.21290376128481542, c2=0.030268366049533132, score=0.900066 -   1.7s
[CV] c1=0.6974508445657263, c2=0.0061796808022403305 .................
[CV]  c1=0.6974508445657263, c2=0.0061796808022403305, score=0.864087 -   1.6s
[CV] c1=0.37681502019395585, c2=0.1303005549979641 ...................
[CV]  c1=0.37681502019395585, c2=0.1303005549979641, score=0.880665 -   1.7s
[CV] c1=1.2739179747040796, c2=0.08427745265356934 ...................
[CV]  c1=1.2739179747040796, c2=0.08427745265356934, score=0.616678 -   1.5s
[CV] c1=0.47916609652536646, c2=0.04589151771860001 ..................
[CV]  c1=0.47916609652536646, c2=0.04589151771860001, score=0.710432 -   1.5s
[CV] c1=0.11229661004904948, c2=0.003483816962548833 .................
[CV]  c1=0.11229661004904948, c2=0.003483816962548833, score=0.810498 -   1.7s
[CV] c1=0.8887958821401347, c2=0.006618388827074226 ..................
[CV]  c1=0.8887958821401347, c2=0.006618388827074226, score=0.700586 -   1.7s
[CV] c1=0.5797646795098433, c2=7.948723091585018e-05 .................
[CV]  c1=0.5797646795098433, c2=7.948723091585018e-05, score=0.898740 -   1.7s
[CV] c1=0.3244124614061883, c2=0.022867130991919858 ..................
[CV]  c1=0.3244124614061883, c2=0.022867130991919858, score=0.908534 -   1.7s
[CV] c1=0.05741869563905075, c2=0.025697795273105884 .................
[CV]  c1=0.05741869563905075, c2=0.025697795273105884, score=0.754159 -   1.3s
[CV] c1=0.09184418876156153, c2=0.002478894182958172 .................
[CV]  c1=0.09184418876156153, c2=0.002478894182958172, score=0.802869 -   1.7s
[CV] c1=0.9590926022971583, c2=0.003041839720964002 ..................
[CV]  c1=0.9590926022971583, c2=0.003041839720964002, score=0.711055 -   1.7s
[CV] c1=0.40374070237583914, c2=0.3113432484171841 ...................
[CV]  c1=0.40374070237583914, c2=0.3113432484171841, score=0.705269 -   1.7s
[CV] c1=0.7091064308014624, c2=0.06935344219549476 ...................
[CV]  c1=0.7091064308014624, c2=0.06935344219549476, score=0.713631 -   1.7s
[CV] c1=1.5772151403862509, c2=0.004520629842590307 ..................
[CV]  c1=1.5772151403862509, c2=0.004520629842590307, score=0.860412 -   1.7s
[CV] c1=0.41376429703159523, c2=0.005860414429836689 .................
[CV]  c1=0.41376429703159523, c2=0.005860414429836689, score=0.771991 -   1.6s
[CV] c1=0.2778201819805721, c2=0.04088874967264535 ...................
[CV]  c1=0.2778201819805721, c2=0.04088874967264535, score=0.911308 -   1.7s
[CV] c1=0.12356707545957268, c2=0.0030080027860692506 ................
[CV]  c1=0.12356707545957268, c2=0.0030080027860692506, score=0.800837 -   1.8s
[CV] c1=0.4944691047577868, c2=0.022388138976063558 ..................
[CV]  c1=0.4944691047577868, c2=0.022388138976063558, score=0.725498 -   1.4s
[CV] c1=0.009161265933843936, c2=0.0999278914659625 ..................
[CV]  c1=0.009161265933843936, c2=0.0999278914659625, score=0.782389 -   1.7s
[CV] c1=0.17454549261447452, c2=0.0518418340827318 ...................
[CV]  c1=0.17454549261447452, c2=0.0518418340827318, score=0.718705 -   1.4s
[CV] c1=0.36572766304559146, c2=0.015398752845799696 .................
[CV]  c1=0.36572766304559146, c2=0.015398752845799696, score=0.857763 -   1.6s
[CV] c1=0.09184418876156153, c2=0.002478894182958172 .................
[CV]  c1=0.09184418876156153, c2=0.002478894182958172, score=0.877999 -   1.9s
[CV] c1=0.05948860737592098, c2=0.003429771556315452 .................
[CV]  c1=0.05948860737592098, c2=0.003429771556315452, score=0.861548 -   1.6s
[CV] c1=0.40374070237583914, c2=0.3113432484171841 ...................
[CV]  c1=0.40374070237583914, c2=0.3113432484171841, score=0.827706 -   1.7s
[CV] c1=0.7091064308014624, c2=0.06935344219549476 ...................
[CV]  c1=0.7091064308014624, c2=0.06935344219549476, score=0.796161 -   1.6s
[CV] c1=0.4714505534120228, c2=0.08623763385527165 ...................
[CV]  c1=0.4714505534120228, c2=0.08623763385527165, score=0.836693 -   1.7s
[CV] c1=0.052604548955325396, c2=0.1369347515245073 ..................
[CV]  c1=0.052604548955325396, c2=0.1369347515245073, score=0.816422 -   1.6s
[CV] c1=0.5370381968634097, c2=0.007397345640372724 ..................
[CV]  c1=0.5370381968634097, c2=0.007397345640372724, score=0.901512 -   1.8s
[CV] c1=0.11229661004904948, c2=0.003483816962548833 .................
[CV]  c1=0.11229661004904948, c2=0.003483816962548833, score=0.848164 -   1.7s
[CV] c1=0.8887958821401347, c2=0.006618388827074226 ..................
[CV]  c1=0.8887958821401347, c2=0.006618388827074226, score=0.683320 -   1.4s
[CV] c1=0.009161265933843936, c2=0.0999278914659625 ..................
[CV]  c1=0.009161265933843936, c2=0.0999278914659625, score=0.878531 -   1.7s
[CV] c1=1.5806831277117883, c2=0.0327931925106154 ....................
[CV]  c1=1.5806831277117883, c2=0.0327931925106154, score=0.571026 -   1.4s
[CV] c1=0.02271430581976417, c2=0.018279921985048547 .................
[CV]  c1=0.02271430581976417, c2=0.018279921985048547, score=0.828726 -   1.5s
[CV] c1=0.5791313860342686, c2=0.06251529854870373 ...................
[CV]  c1=0.5791313860342686, c2=0.06251529854870373, score=0.840536 -   1.6s
[CV] c1=0.9156473362680082, c2=0.0025855728792164175 .................
[CV]  c1=0.9156473362680082, c2=0.0025855728792164175, score=0.703489 -   1.3s
[CV] c1=1.0193227434590308, c2=0.07196345230052521 ...................
[CV]  c1=1.0193227434590308, c2=0.07196345230052521, score=0.625315 -   1.3s
[CV] c1=0.21290376128481542, c2=0.030268366049533132 .................
[CV]  c1=0.21290376128481542, c2=0.030268366049533132, score=0.808080 -   1.7s
[CV] c1=0.6974508445657263, c2=0.0061796808022403305 .................
[CV]  c1=0.6974508445657263, c2=0.0061796808022403305, score=0.807269 -   1.7s
[CV] c1=0.47623289227820736, c2=0.02828554865192813 ..................
[CV]  c1=0.47623289227820736, c2=0.02828554865192813, score=0.718467 -   1.4s
[CV] c1=1.2739179747040796, c2=0.08427745265356934 ...................
[CV]  c1=1.2739179747040796, c2=0.08427745265356934, score=0.858233 -   1.5s
[CV] c1=0.47916609652536646, c2=0.04589151771860001 ..................
[CV]  c1=0.47916609652536646, c2=0.04589151771860001, score=0.887700 -   1.8s
[CV] c1=0.08855151422492792, c2=0.05903301509465965 ..................
[CV]  c1=0.08855151422492792, c2=0.05903301509465965, score=0.793824 -   1.7s
[CV] c1=0.4944691047577868, c2=0.022388138976063558 ..................
[CV]  c1=0.4944691047577868, c2=0.022388138976063558, score=0.818812 -   1.7s
[CV] c1=0.45126393560395117, c2=0.0203280611345758 ...................
[CV]  c1=0.45126393560395117, c2=0.0203280611345758, score=0.903748 -   1.6s
[CV] c1=0.6824417301275992, c2=0.0680083158530379 ....................
[CV]  c1=0.6824417301275992, c2=0.0680083158530379, score=0.866012 -   1.8s
[CV] c1=0.4294946871112133, c2=0.02917656425016424 ...................
[CV]  c1=0.4294946871112133, c2=0.02917656425016424, score=0.763489 -   1.7s
[CV] c1=1.0028660783342958, c2=0.010978200620870404 ..................
[CV]  c1=1.0028660783342958, c2=0.010978200620870404, score=0.785482 -   1.5s
[CV] c1=0.7699970837504383, c2=0.2065423991195804 ....................
[CV]  c1=0.7699970837504383, c2=0.2065423991195804, score=0.703608 -   1.8s
[CV] c1=0.3254308507483376, c2=0.01339049112540172 ...................
[CV]  c1=0.3254308507483376, c2=0.01339049112540172, score=0.906469 -   1.7s
[CV] c1=0.1463531293064159, c2=0.02206999469541729 ...................
[CV]  c1=0.1463531293064159, c2=0.02206999469541729, score=0.735128 -   1.3s
[CV] c1=1.5772151403862509, c2=0.004520629842590307 ..................
[CV]  c1=1.5772151403862509, c2=0.004520629842590307, score=0.570570 -   1.8s
[CV] c1=1.2739179747040796, c2=0.08427745265356934 ...................
[CV]  c1=1.2739179747040796, c2=0.08427745265356934, score=0.645457 -   1.5s
[CV] c1=0.5370381968634097, c2=0.007397345640372724 ..................
[CV]  c1=0.5370381968634097, c2=0.007397345640372724, score=0.828627 -   1.7s
[CV] c1=0.11229661004904948, c2=0.003483816962548833 .................
[CV]  c1=0.11229661004904948, c2=0.003483816962548833, score=0.864805 -   1.6s
[CV] c1=0.9803582872915763, c2=0.04081623504661777 ...................
[CV]  c1=0.9803582872915763, c2=0.04081623504661777, score=0.793567 -   1.7s
[CV] c1=0.009161265933843936, c2=0.0999278914659625 ..................
[CV]  c1=0.009161265933843936, c2=0.0999278914659625, score=0.857790 -   1.6s
[CV] c1=1.5806831277117883, c2=0.0327931925106154 ....................
[CV]  c1=1.5806831277117883, c2=0.0327931925106154, score=0.647132 -   1.7s
[CV] c1=0.8832396042157629, c2=0.002934913991842321 ..................
[CV]  c1=0.8832396042157629, c2=0.002934913991842321, score=0.870360 -   1.6s
[CV] c1=0.09184418876156153, c2=0.002478894182958172 .................
[CV]  c1=0.09184418876156153, c2=0.002478894182958172, score=0.826145 -   1.8s
[CV] c1=0.05948860737592098, c2=0.003429771556315452 .................
[CV]  c1=0.05948860737592098, c2=0.003429771556315452, score=0.803196 -   1.7s
[CV] c1=0.40374070237583914, c2=0.3113432484171841 ...................
[CV]  c1=0.40374070237583914, c2=0.3113432484171841, score=0.755362 -   1.9s
[CV] c1=1.3696727228503591, c2=0.30363259099003204 ...................
[CV]  c1=1.3696727228503591, c2=0.30363259099003204, score=0.559246 -   1.8s
[CV] c1=0.37681502019395585, c2=0.1303005549979641 ...................
[CV]  c1=0.37681502019395585, c2=0.1303005549979641, score=0.752363 -   1.7s
[CV] c1=1.2739179747040796, c2=0.08427745265356934 ...................
[CV]  c1=1.2739179747040796, c2=0.08427745265356934, score=0.587566 -   1.5s
[CV] c1=2.0970135780004235, c2=0.14954724834707042 ...................
[CV]  c1=2.0970135780004235, c2=0.14954724834707042, score=0.609274 -   1.4s
[CV] c1=0.7362211443057998, c2=0.004399408891433567 ..................
[CV]  c1=0.7362211443057998, c2=0.004399408891433567, score=0.724845 -   1.7s
[CV] c1=0.015845774823772495, c2=0.0735217647594838 ..................
[CV]  c1=0.015845774823772495, c2=0.0735217647594838, score=0.785565 -   1.9s
[CV] c1=0.8808309099963308, c2=0.006444884310083607 ..................
[CV]  c1=0.8808309099963308, c2=0.006444884310083607, score=0.705438 -   1.4s
[CV] c1=0.676681173621331, c2=0.0060420224877684656 ..................
[CV]  c1=0.676681173621331, c2=0.0060420224877684656, score=0.714023 -   1.5s
[CV] c1=0.6824417301275992, c2=0.0680083158530379 ....................
[CV]  c1=0.6824417301275992, c2=0.0680083158530379, score=0.721382 -   1.8s
[CV] c1=0.1461848519537141, c2=0.1468292987091183 ....................
[CV]  c1=0.1461848519537141, c2=0.1468292987091183, score=0.716437 -   1.4s
[CV] c1=0.020924349400457096, c2=0.021339419140930443 ................
[CV]  c1=0.020924349400457096, c2=0.021339419140930443, score=0.785113 -   1.8s
[CV] c1=0.7699970837504383, c2=0.2065423991195804 ....................
[CV]  c1=0.7699970837504383, c2=0.2065423991195804, score=0.814463 -   1.6s
[CV] c1=0.21290376128481542, c2=0.030268366049533132 .................
[CV]  c1=0.21290376128481542, c2=0.030268366049533132, score=0.867011 -   1.6s
[CV] c1=0.6974508445657263, c2=0.0061796808022403305 .................
[CV]  c1=0.6974508445657263, c2=0.0061796808022403305, score=0.730099 -   1.8s
[CV] c1=0.47623289227820736, c2=0.02828554865192813 ..................
[CV]  c1=0.47623289227820736, c2=0.02828554865192813, score=0.888610 -   1.7s
[CV] c1=0.3732564478159807, c2=0.15673031069517404 ...................
[CV]  c1=0.3732564478159807, c2=0.15673031069517404, score=0.892311 -   1.4s
[CV] c1=2.0970135780004235, c2=0.14954724834707042 ...................
[CV]  c1=2.0970135780004235, c2=0.14954724834707042, score=0.569288 -   1.0s
[CV] c1=0.7362211443057998, c2=0.004399408891433567 ..................
[CV]  c1=0.7362211443057998, c2=0.004399408891433567, score=0.872440 -   1.7s
[CV] c1=0.015845774823772495, c2=0.0735217647594838 ..................
[CV]  c1=0.015845774823772495, c2=0.0735217647594838, score=0.747215 -   1.4s
[CV] c1=0.8887958821401347, c2=0.006618388827074226 ..................
[CV]  c1=0.8887958821401347, c2=0.006618388827074226, score=0.701796 -   1.8s
[CV] c1=0.5797646795098433, c2=7.948723091585018e-05 .................
[CV]  c1=0.5797646795098433, c2=7.948723091585018e-05, score=0.815492 -   1.7s
[CV] c1=0.6824417301275992, c2=0.0680083158530379 ....................
[CV]  c1=0.6824417301275992, c2=0.0680083158530379, score=0.689357 -   1.4s
[CV] c1=0.05741869563905075, c2=0.025697795273105884 .................
[CV]  c1=0.05741869563905075, c2=0.025697795273105884, score=0.884930 -   1.7s
[CV] c1=0.020924349400457096, c2=0.021339419140930443 ................
[CV]  c1=0.020924349400457096, c2=0.021339419140930443, score=0.809184 -   1.7s
[CV] c1=0.14740481577515432, c2=0.012141285722128005 .................
[CV]  c1=0.14740481577515432, c2=0.012141285722128005, score=0.817841 -   1.8s
[CV] c1=0.21290376128481542, c2=0.030268366049533132 .................
[CV]  c1=0.21290376128481542, c2=0.030268366049533132, score=0.798958 -   1.8s
[CV] c1=0.1463531293064159, c2=0.02206999469541729 ...................
[CV]  c1=0.1463531293064159, c2=0.02206999469541729, score=0.904099 -   1.7s
[CV] c1=0.47623289227820736, c2=0.02828554865192813 ..................
[CV]  c1=0.47623289227820736, c2=0.02828554865192813, score=0.753294 -   1.9s
[CV] c1=0.12299761872598793, c2=0.06406536200649547 ..................
[CV]  c1=0.12299761872598793, c2=0.06406536200649547, score=0.707674 -   1.1s
[CV] c1=0.5370381968634097, c2=0.007397345640372724 ..................
[CV]  c1=0.5370381968634097, c2=0.007397345640372724, score=0.842691 -   1.7s
[CV] c1=0.12356707545957268, c2=0.0030080027860692506 ................
[CV]  c1=0.12356707545957268, c2=0.0030080027860692506, score=0.896502 -   1.6s
[CV] c1=0.8887958821401347, c2=0.006618388827074226 ..................
[CV]  c1=0.8887958821401347, c2=0.006618388827074226, score=0.861725 -   1.7s
[CV] c1=0.270286715089648, c2=0.019098350607743765 ...................
[CV]  c1=0.270286715089648, c2=0.019098350607743765, score=0.891230 -   1.6s
[CV] c1=0.17454549261447452, c2=0.0518418340827318 ...................
[CV]  c1=0.17454549261447452, c2=0.0518418340827318, score=0.879807 -   1.6s
[CV] c1=0.8832396042157629, c2=0.002934913991842321 ..................
[CV]  c1=0.8832396042157629, c2=0.002934913991842321, score=0.673792 -   1.2s
[CV] c1=1.0760395040448065, c2=0.027802496774365467 ..................
[CV]  c1=1.0760395040448065, c2=0.027802496774365467, score=0.652973 -   1.4s
[CV] c1=0.017834565506668152, c2=0.08352731778340501 .................
[CV]  c1=0.017834565506668152, c2=0.08352731778340501, score=0.782389 -   1.8s
[CV] c1=0.24727111278866307, c2=0.09614051707660934 ..................
[CV]  c1=0.24727111278866307, c2=0.09614051707660934, score=0.717491 -   1.5s
[CV] c1=0.8144164538600966, c2=0.0006645988660921196 .................
[CV]  c1=0.8144164538600966, c2=0.0006645988660921196, score=0.717484 -   1.5s
[CV] c1=0.1463531293064159, c2=0.02206999469541729 ...................
[CV]  c1=0.1463531293064159, c2=0.02206999469541729, score=0.868501 -   1.6s
[CV] c1=0.47623289227820736, c2=0.02828554865192813 ..................
[CV]  c1=0.47623289227820736, c2=0.02828554865192813, score=0.830741 -   1.7s
[CV] c1=0.3732564478159807, c2=0.15673031069517404 ...................
[CV]  c1=0.3732564478159807, c2=0.15673031069517404, score=0.857178 -   1.3s
[CV] c1=0.1828235708712969, c2=0.029610811207807765 ..................
[CV]  c1=0.1828235708712969, c2=0.029610811207807765, score=0.792691 -   1.5s
[CV] c1=0.440294200204495, c2=0.042265900320879186 ...................
[CV]  c1=0.440294200204495, c2=0.042265900320879186, score=0.898512 -   1.9s
[CV] c1=0.44236215757129377, c2=0.010328827627062689 .................
[CV]  c1=0.44236215757129377, c2=0.010328827627062689, score=0.898740 -   2.0s
[CV] c1=0.2021950333498171, c2=0.03872219602581385 ...................
[CV]  c1=0.2021950333498171, c2=0.03872219602581385, score=0.855079 -   1.8s
[CV] c1=1.5806831277117883, c2=0.0327931925106154 ....................
[CV]  c1=1.5806831277117883, c2=0.0327931925106154, score=0.744489 -   1.5s
[CV] c1=0.8888108376336975, c2=0.006060324848690286 ..................
[CV]  c1=0.8888108376336975, c2=0.006060324848690286, score=0.870360 -   1.8s
[CV] c1=0.04866853868733896, c2=0.04442729506131668 ..................
[CV]  c1=0.04866853868733896, c2=0.04442729506131668, score=0.891513 -   1.7s
[CV] c1=0.05948860737592098, c2=0.003429771556315452 .................
[CV]  c1=0.05948860737592098, c2=0.003429771556315452, score=0.899040 -   1.6s
[CV] c1=0.40374070237583914, c2=0.3113432484171841 ...................
[CV]  c1=0.40374070237583914, c2=0.3113432484171841, score=0.700923 -   1.4s
[CV] c1=0.37640759918345446, c2=0.01835815388575515 ..................
[CV]  c1=0.37640759918345446, c2=0.01835815388575515, score=0.853518 -   1.8s
[CV] c1=0.30362068076855453, c2=0.023653261608667753 .................
[CV]  c1=0.30362068076855453, c2=0.023653261608667753, score=0.719629 -   1.4s
[CV] c1=0.7007425322429676, c2=0.020278738076881343 ..................
[CV]  c1=0.7007425322429676, c2=0.020278738076881343, score=0.681703 -   1.4s
[CV] c1=0.08087945277319189, c2=0.014461959220439795 .................
[CV]  c1=0.08087945277319189, c2=0.014461959220439795, score=0.746166 -   1.1s
[CV] c1=0.1828235708712969, c2=0.029610811207807765 ..................
[CV]  c1=0.1828235708712969, c2=0.029610811207807765, score=0.733345 -   1.3s
[CV] c1=0.7362211443057998, c2=0.004399408891433567 ..................
[CV]  c1=0.7362211443057998, c2=0.004399408891433567, score=0.728348 -   1.3s
[CV] c1=0.015845774823772495, c2=0.0735217647594838 ..................
[CV]  c1=0.015845774823772495, c2=0.0735217647594838, score=0.874945 -   1.7s
[CV] c1=0.48731537610170395, c2=0.015419061406216739 .................
[CV]  c1=0.48731537610170395, c2=0.015419061406216739, score=0.735405 -   1.4s
[CV] c1=0.5797646795098433, c2=7.948723091585018e-05 .................
[CV]  c1=0.5797646795098433, c2=7.948723091585018e-05, score=0.724577 -   1.6s
[CV] c1=0.17454549261447452, c2=0.0518418340827318 ...................
[CV]  c1=0.17454549261447452, c2=0.0518418340827318, score=0.835253 -   1.7s
[CV] c1=0.05741869563905075, c2=0.025697795273105884 .................
[CV]  c1=0.05741869563905075, c2=0.025697795273105884, score=0.784517 -   1.9s
[CV] c1=1.0028660783342958, c2=0.010978200620870404 ..................
[CV]  c1=1.0028660783342958, c2=0.010978200620870404, score=0.658518 -   1.7s
[CV] c1=0.812150282229804, c2=0.14428418652386968 ....................
[CV]  c1=0.812150282229804, c2=0.14428418652386968, score=0.865543 -   1.7s
[CV] c1=0.3254308507483376, c2=0.01339049112540172 ...................
[CV]  c1=0.3254308507483376, c2=0.01339049112540172, score=0.715823 -   1.5s
[CV] c1=0.6974508445657263, c2=0.0061796808022403305 .................
[CV]  c1=0.6974508445657263, c2=0.0061796808022403305, score=0.825836 -   1.7s
[CV] c1=0.37681502019395585, c2=0.1303005549979641 ...................
[CV]  c1=0.37681502019395585, c2=0.1303005549979641, score=0.857178 -   1.8s
[CV] c1=0.3732564478159807, c2=0.15673031069517404 ...................
[CV]  c1=0.3732564478159807, c2=0.15673031069517404, score=0.752363 -   1.4s
[CV] c1=0.14438025941896088, c2=0.028327414436956046 .................
[CV]  c1=0.14438025941896088, c2=0.028327414436956046, score=0.803428 -   1.5s
[CV] c1=0.440294200204495, c2=0.042265900320879186 ...................
[CV]  c1=0.440294200204495, c2=0.042265900320879186, score=0.849325 -   1.7s
[CV] c1=0.27820444668211725, c2=0.016819853060784675 .................
[CV]  c1=0.27820444668211725, c2=0.016819853060784675, score=0.846730 -   1.8s
[CV] c1=1.5530184132136042, c2=0.014989860790205268 ..................
[CV]  c1=1.5530184132136042, c2=0.014989860790205268, score=0.859706 -   1.6s
[CV] c1=0.35601151497808114, c2=0.21745873681545114 ..................
[CV]  c1=0.35601151497808114, c2=0.21745873681545114, score=0.760668 -   1.8s
[CV] c1=0.02271430581976417, c2=0.018279921985048547 .................
[CV]  c1=0.02271430581976417, c2=0.018279921985048547, score=0.857904 -   1.5s
[CV] c1=0.5791313860342686, c2=0.06251529854870373 ...................
[CV]  c1=0.5791313860342686, c2=0.06251529854870373, score=0.729663 -   1.7s
[CV] c1=0.9156473362680082, c2=0.0025855728792164175 .................
[CV]  c1=0.9156473362680082, c2=0.0025855728792164175, score=0.795351 -   1.7s
[CV] c1=0.8430672523433665, c2=0.02480806903045749 ...................
[CV]  c1=0.8430672523433665, c2=0.02480806903045749, score=0.872537 -   1.7s
[CV] c1=0.37640759918345446, c2=0.01835815388575515 ..................
[CV]  c1=0.37640759918345446, c2=0.01835815388575515, score=0.915919 -   1.7s
[CV] c1=0.027751507240697162, c2=0.07798495149261386 .................
[CV]  c1=0.027751507240697162, c2=0.07798495149261386, score=0.740297 -   1.2s
[CV] c1=0.4889525110077135, c2=0.027725522058662952 ..................
[CV]  c1=0.4889525110077135, c2=0.027725522058662952, score=0.759517 -   1.7s
[CV] c1=0.12299761872598793, c2=0.06406536200649547 ..................
[CV]  c1=0.12299761872598793, c2=0.06406536200649547, score=0.858778 -   1.3s
[CV] c1=0.1828235708712969, c2=0.029610811207807765 ..................
[CV]  c1=0.1828235708712969, c2=0.029610811207807765, score=0.802734 -   1.8s
[CV] c1=1.0109019787979716, c2=0.014149852159446042 ..................
[CV]  c1=1.0109019787979716, c2=0.014149852159446042, score=0.866081 -   1.7s
[CV] c1=0.44236215757129377, c2=0.010328827627062689 .................
[CV]  c1=0.44236215757129377, c2=0.010328827627062689, score=0.723088 -   1.4s
[CV] c1=0.46833737268208286, c2=0.14103058243258074 ..................
[CV]  c1=0.46833737268208286, c2=0.14103058243258074, score=0.837251 -   1.8s
[CV] c1=0.35601151497808114, c2=0.21745873681545114 ..................
[CV]  c1=0.35601151497808114, c2=0.21745873681545114, score=0.710932 -   1.3s
[CV] c1=0.6824417301275992, c2=0.0680083158530379 ....................
[CV]  c1=0.6824417301275992, c2=0.0680083158530379, score=0.806995 -   1.7s
[CV] c1=0.1461848519537141, c2=0.1468292987091183 ....................
[CV]  c1=0.1461848519537141, c2=0.1468292987091183, score=0.873377 -   1.8s
[CV] c1=0.017834565506668152, c2=0.08352731778340501 .................
[CV]  c1=0.017834565506668152, c2=0.08352731778340501, score=0.885114 -   1.6s
[CV] c1=0.812150282229804, c2=0.14428418652386968 ....................
[CV]  c1=0.812150282229804, c2=0.14428418652386968, score=0.663575 -   1.8s
[CV] c1=0.3254308507483376, c2=0.01339049112540172 ...................
[CV]  c1=0.3254308507483376, c2=0.01339049112540172, score=0.820249 -   1.8s
[CV] c1=0.3515923093214444, c2=0.020027653251094513 ..................
[CV]  c1=0.3515923093214444, c2=0.020027653251094513, score=0.776592 -   1.8s
[CV] c1=0.6311123160190643, c2=0.0037165831207117716 .................
[CV]  c1=0.6311123160190643, c2=0.0037165831207117716, score=0.730520 -   1.4s
[CV] c1=0.12299761872598793, c2=0.06406536200649547 ..................
[CV]  c1=0.12299761872598793, c2=0.06406536200649547, score=0.887347 -   1.4s
[CV] c1=0.1828235708712969, c2=0.029610811207807765 ..................
[CV]  c1=0.1828235708712969, c2=0.029610811207807765, score=0.884889 -   1.6s
[CV] c1=0.440294200204495, c2=0.042265900320879186 ...................
[CV]  c1=0.440294200204495, c2=0.042265900320879186, score=0.730499 -   1.4s
[CV] c1=0.015845774823772495, c2=0.0735217647594838 ..................
[CV]  c1=0.015845774823772495, c2=0.0735217647594838, score=0.858798 -   1.6s
[CV] c1=0.48731537610170395, c2=0.015419061406216739 .................
[CV]  c1=0.48731537610170395, c2=0.015419061406216739, score=0.797793 -   1.8s
[CV] c1=0.676681173621331, c2=0.0060420224877684656 ..................
[CV]  c1=0.676681173621331, c2=0.0060420224877684656, score=0.879889 -   1.7s
[CV] c1=0.10292412172091198, c2=0.04683111794054241 ..................
[CV]  c1=0.10292412172091198, c2=0.04683111794054241, score=0.795282 -   1.7s
[CV] c1=0.9959147479353656, c2=0.012575094833015252 ..................
[CV]  c1=0.9959147479353656, c2=0.012575094833015252, score=0.863471 -   1.6s
[CV] c1=0.017834565506668152, c2=0.08352731778340501 .................
[CV]  c1=0.017834565506668152, c2=0.08352731778340501, score=0.751582 -   1.4s
[CV] c1=0.7699970837504383, c2=0.2065423991195804 ....................
[CV]  c1=0.7699970837504383, c2=0.2065423991195804, score=0.661384 -   1.8s
[CV] c1=0.3254308507483376, c2=0.01339049112540172 ...................
[CV]  c1=0.3254308507483376, c2=0.01339049112540172, score=0.792925 -   1.8s
[CV] c1=0.1463531293064159, c2=0.02206999469541729 ...................
[CV]  c1=0.1463531293064159, c2=0.02206999469541729, score=0.826145 -   1.8s
[CV] c1=0.4889525110077135, c2=0.027725522058662952 ..................
[CV]  c1=0.4889525110077135, c2=0.027725522058662952, score=0.836193 -   1.7s
[CV] c1=0.12299761872598793, c2=0.06406536200649547 ..................
[CV]  c1=0.12299761872598793, c2=0.06406536200649547, score=0.838837 -   1.3s
[CV] c1=0.14438025941896088, c2=0.028327414436956046 .................
[CV]  c1=0.14438025941896088, c2=0.028327414436956046, score=0.822199 -   1.7s
[CV] c1=0.4659222838460465, c2=0.0230901831217119 ....................
[CV]  c1=0.4659222838460465, c2=0.0230901831217119, score=0.724814 -   1.4s
[CV] c1=0.27820444668211725, c2=0.016819853060784675 .................
[CV]  c1=0.27820444668211725, c2=0.016819853060784675, score=0.802641 -   1.8s
[CV] c1=1.5530184132136042, c2=0.014989860790205268 ..................
[CV]  c1=1.5530184132136042, c2=0.014989860790205268, score=0.578655 -   1.4s
[CV] c1=0.676681173621331, c2=0.0060420224877684656 ..................
[CV]  c1=0.676681173621331, c2=0.0060420224877684656, score=0.721382 -   1.6s
[CV] c1=0.10292412172091198, c2=0.04683111794054241 ..................
[CV]  c1=0.10292412172091198, c2=0.04683111794054241, score=0.858778 -   1.5s
[CV] c1=0.4294946871112133, c2=0.02917656425016424 ...................
[CV]  c1=0.4294946871112133, c2=0.02917656425016424, score=0.840841 -   1.8s
[CV] c1=0.5770309740427608, c2=0.036355523533568905 ..................
[CV]  c1=0.5770309740427608, c2=0.036355523533568905, score=0.743045 -   1.8s
[CV] c1=1.0193227434590308, c2=0.07196345230052521 ...................
[CV]  c1=1.0193227434590308, c2=0.07196345230052521, score=0.649041 -   1.8s
[CV] c1=0.8144164538600966, c2=0.0006645988660921196 .................
[CV]  c1=0.8144164538600966, c2=0.0006645988660921196, score=0.780203 -   1.7s
[CV] c1=0.24295008629099907, c2=0.018405210566823937 .................
[CV]  c1=0.24295008629099907, c2=0.018405210566823937, score=0.719377 -   1.4s
[CV] c1=0.4889525110077135, c2=0.027725522058662952 ..................
[CV]  c1=0.4889525110077135, c2=0.027725522058662952, score=0.893734 -   1.7s
[CV] c1=0.3732564478159807, c2=0.15673031069517404 ...................
[CV]  c1=0.3732564478159807, c2=0.15673031069517404, score=0.811961 -   1.4s
[CV] c1=0.11600895153565455, c2=0.06372020132758106 ..................
[CV]  c1=0.11600895153565455, c2=0.06372020132758106, score=0.706339 -   1.3s
[CV] c1=0.7362211443057998, c2=0.004399408891433567 ..................
[CV]  c1=0.7362211443057998, c2=0.004399408891433567, score=0.812271 -   1.8s
[CV] c1=0.6451639834023113, c2=0.06412451624378913 ...................
[CV]  c1=0.6451639834023113, c2=0.06412451624378913, score=0.826347 -   1.6s
[CV] c1=0.46833737268208286, c2=0.14103058243258074 ..................
[CV]  c1=0.46833737268208286, c2=0.14103058243258074, score=0.881670 -   1.8s
[CV] c1=0.676681173621331, c2=0.0060420224877684656 ..................
[CV]  c1=0.676681173621331, c2=0.0060420224877684656, score=0.819558 -   1.7s
[CV] c1=0.2158392462354741, c2=0.0243862131714621 ....................
[CV]  c1=0.2158392462354741, c2=0.0243862131714621, score=0.899473 -   1.6s
[CV] c1=0.9959147479353656, c2=0.012575094833015252 ..................
[CV]  c1=0.9959147479353656, c2=0.012575094833015252, score=0.705658 -   1.3s
[CV] c1=1.0028660783342958, c2=0.010978200620870404 ..................
[CV]  c1=1.0028660783342958, c2=0.010978200620870404, score=0.662796 -   1.7s
[CV] c1=0.812150282229804, c2=0.14428418652386968 ....................
[CV]  c1=0.812150282229804, c2=0.14428418652386968, score=0.685243 -   1.8s
[CV] c1=0.3254308507483376, c2=0.01339049112540172 ...................
[CV]  c1=0.3254308507483376, c2=0.01339049112540172, score=0.864206 -   1.6s
[CV] c1=0.1463531293064159, c2=0.02206999469541729 ...................
[CV]  c1=0.1463531293064159, c2=0.02206999469541729, score=0.802641 -   1.7s
[CV] c1=0.47623289227820736, c2=0.02828554865192813 ..................
[CV]  c1=0.47623289227820736, c2=0.02828554865192813, score=0.806143 -   1.8s
[CV] c1=0.12299761872598793, c2=0.06406536200649547 ..................
[CV]  c1=0.12299761872598793, c2=0.06406536200649547, score=0.789474 -   1.2s
[CV] c1=0.2778201819805721, c2=0.04088874967264535 ...................
[CV]  c1=0.2778201819805721, c2=0.04088874967264535, score=0.718265 -   1.3s
[CV] c1=0.4659222838460465, c2=0.0230901831217119 ....................
[CV]  c1=0.4659222838460465, c2=0.0230901831217119, score=0.856805 -   1.7s
[CV] c1=0.9803582872915763, c2=0.04081623504661777 ...................
[CV]  c1=0.9803582872915763, c2=0.04081623504661777, score=0.865543 -   1.6s
[CV] c1=0.009161265933843936, c2=0.0999278914659625 ..................
[CV]  c1=0.009161265933843936, c2=0.0999278914659625, score=0.757587 -   1.3s
[CV] c1=0.3280804916509128, c2=0.09758597337368337 ...................
[CV]  c1=0.3280804916509128, c2=0.09758597337368337, score=0.817304 -   1.9s
[CV] c1=0.8888108376336975, c2=0.006060324848690286 ..................
[CV]  c1=0.8888108376336975, c2=0.006060324848690286, score=0.711931 -   1.5s
[CV] c1=1.0760395040448065, c2=0.027802496774365467 ..................
[CV]  c1=1.0760395040448065, c2=0.027802496774365467, score=0.785482 -   1.6s
[CV] c1=1.0106277243212232, c2=0.01414684611672486 ...................
[CV]  c1=1.0106277243212232, c2=0.01414684611672486, score=0.770407 -   1.6s
[CV] c1=0.8430672523433665, c2=0.02480806903045749 ...................
[CV]  c1=0.8430672523433665, c2=0.02480806903045749, score=0.689721 -   1.8s
[CV] c1=0.7095518220823863, c2=0.02759719276564466 ...................
[CV]  c1=0.7095518220823863, c2=0.02759719276564466, score=0.872723 -   1.6s
[CV] c1=0.027751507240697162, c2=0.07798495149261386 .................
[CV]  c1=0.027751507240697162, c2=0.07798495149261386, score=0.822212 -   1.7s
[CV] c1=0.7052185299632588, c2=0.03971822609965829 ...................
[CV]  c1=0.7052185299632588, c2=0.03971822609965829, score=0.702434 -   1.3s
[CV] c1=0.08087945277319189, c2=0.014461959220439795 .................
[CV]  c1=0.08087945277319189, c2=0.014461959220439795, score=0.868503 -   1.1s
[CV] c1=0.5370381968634097, c2=0.007397345640372724 ..................
[CV]  c1=0.5370381968634097, c2=0.007397345640372724, score=0.728593 -   1.3s
[CV] c1=1.0109019787979716, c2=0.014149852159446042 ..................
[CV]  c1=1.0109019787979716, c2=0.014149852159446042, score=0.660925 -   1.4s
[CV] c1=0.27820444668211725, c2=0.016819853060784675 .................
[CV]  c1=0.27820444668211725, c2=0.016819853060784675, score=0.915919 -   1.6s
[CV] c1=0.8808309099963308, c2=0.006444884310083607 ..................
[CV]  c1=0.8808309099963308, c2=0.006444884310083607, score=0.868154 -   1.6s
[CV] c1=0.676681173621331, c2=0.0060420224877684656 ..................
[CV]  c1=0.676681173621331, c2=0.0060420224877684656, score=0.810116 -   1.7s
[CV] c1=0.2158392462354741, c2=0.0243862131714621 ....................
[CV]  c1=0.2158392462354741, c2=0.0243862131714621, score=0.802641 -   1.7s
[CV] c1=0.9959147479353656, c2=0.012575094833015252 ..................
[CV]  c1=0.9959147479353656, c2=0.012575094833015252, score=0.797793 -   1.8s
[CV] c1=0.9156473362680082, c2=0.0025855728792164175 .................
[CV]  c1=0.9156473362680082, c2=0.0025855728792164175, score=0.722324 -   1.7s
[CV] c1=0.24727111278866307, c2=0.09614051707660934 ..................
[CV]  c1=0.24727111278866307, c2=0.09614051707660934, score=0.868501 -   1.6s
[CV] c1=0.009141394765375906, c2=0.048157009521160886 ................
[CV]  c1=0.009141394765375906, c2=0.048157009521160886, score=0.849599 -   1.6s
[CV] c1=0.24295008629099907, c2=0.018405210566823937 .................
[CV]  c1=0.24295008629099907, c2=0.018405210566823937, score=0.867011 -   1.5s
[CV] c1=0.6311123160190643, c2=0.0037165831207117716 .................
[CV]  c1=0.6311123160190643, c2=0.0037165831207117716, score=0.879889 -   1.7s
[CV] c1=0.08087945277319189, c2=0.014461959220439795 .................
[CV]  c1=0.08087945277319189, c2=0.014461959220439795, score=0.808792 -   1.2s
[CV] c1=0.11600895153565455, c2=0.06372020132758106 ..................
[CV]  c1=0.11600895153565455, c2=0.06372020132758106, score=0.829182 -   1.8s
[CV] c1=0.4659222838460465, c2=0.0230901831217119 ....................
[CV]  c1=0.4659222838460465, c2=0.0230901831217119, score=0.894129 -   1.8s
[CV] c1=0.017943512837850305, c2=0.0022487262678314275 ...............
[CV]  c1=0.017943512837850305, c2=0.0022487262678314275, score=0.807665 -   1.7s
[CV] c1=0.2021950333498171, c2=0.03872219602581385 ...................
[CV]  c1=0.2021950333498171, c2=0.03872219602581385, score=0.867011 -   1.7s
[CV] c1=1.5806831277117883, c2=0.0327931925106154 ....................
[CV]  c1=1.5806831277117883, c2=0.0327931925106154, score=0.858678 -   1.6s
[CV] c1=0.36572766304559146, c2=0.015398752845799696 .................
[CV]  c1=0.36572766304559146, c2=0.015398752845799696, score=0.805908 -   1.9s
[CV] c1=0.04866853868733896, c2=0.04442729506131668 ..................
[CV]  c1=0.04866853868733896, c2=0.04442729506131668, score=0.721994 -   1.3s
[CV] c1=0.9590926022971583, c2=0.003041839720964002 ..................
[CV]  c1=0.9590926022971583, c2=0.003041839720964002, score=0.872537 -   1.7s
[CV] c1=0.35275021758046426, c2=0.04499199054276101 ..................
[CV]  c1=0.35275021758046426, c2=0.04499199054276101, score=0.728511 -   1.5s
[CV] c1=0.37640759918345446, c2=0.01835815388575515 ..................
[CV]  c1=0.37640759918345446, c2=0.01835815388575515, score=0.718782 -   1.4s
[CV] c1=0.24295008629099907, c2=0.018405210566823937 .................
[CV]  c1=0.24295008629099907, c2=0.018405210566823937, score=0.900976 -   1.6s
[CV] c1=0.4889525110077135, c2=0.027725522058662952 ..................
[CV]  c1=0.4889525110077135, c2=0.027725522058662952, score=0.815381 -   1.7s
[CV] c1=0.08087945277319189, c2=0.014461959220439795 .................
[CV]  c1=0.08087945277319189, c2=0.014461959220439795, score=0.887139 -   1.3s
Training done in: 23.708648s
     Saving training model...
        Saving training model done in: 0.013347s
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Prediction done in: 0.040400s