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

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Run6_v11.txt 72.9 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: Run6
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: TrueS4: False
Run variant: 11
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003717s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0        1
0        lemma        :
1       postag        :
2     -1:lemma       in
3    -1:postag       IN
4     +1:lemma       m9
5    +1:postag       NN
6       hUpper    False
7       hLower    False
8       hGreek    False
9         symb    False
10   lemma[:1]        :
11  postag[:1]        :
12    -2:lemma  culture
13   -2:postag      VBN
14    +2:lemma  minimal
15   +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   lemma[:1]           d
11  postag[:1]           N
12   lemma[:2]          de
13  postag[:2]          NN
14    -2:lemma     affyexp
15   -2:postag          JJ
16    +2:lemma     glucose
17   +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.2643401289154087, c2=0.010495204450841697 ..................
[CV]  c1=0.2643401289154087, c2=0.010495204450841697, score=0.783420 -   1.4s
[CV] c1=0.018200792997082906, c2=0.02307578431271634 .................
[CV]  c1=0.018200792997082906, c2=0.02307578431271634, score=0.887945 -   1.4s
[CV] c1=0.9764187856442599, c2=0.06853250968175255 ...................
[CV]  c1=0.9764187856442599, c2=0.06853250968175255, score=0.778770 -   1.3s
[CV] c1=1.1255632568608445, c2=0.03985345341641039 ...................
[CV]  c1=1.1255632568608445, c2=0.03985345341641039, score=0.644810 -   1.2s
[CV] c1=0.8982296620485387, c2=0.03246036521709954 ...................
[CV]  c1=0.8982296620485387, c2=0.03246036521709954, score=0.881395 -   1.4s
[CV] c1=0.23852276882197815, c2=0.076698341840843 ....................
[CV]  c1=0.23852276882197815, c2=0.076698341840843, score=0.907625 -   1.5s
[CV] c1=0.44212857163076136, c2=0.002116275995881549 .................
[CV]  c1=0.44212857163076136, c2=0.002116275995881549, score=0.770875 -   1.5s
[CV] c1=0.40347966806370245, c2=0.0710991251356767 ...................
[CV]  c1=0.40347966806370245, c2=0.0710991251356767, score=0.895759 -   1.4s
[CV] c1=0.04114695684846016, c2=0.02949754224302857 ..................
[CV]  c1=0.04114695684846016, c2=0.02949754224302857, score=0.792368 -   1.1s
[CV] c1=0.16677637702548898, c2=0.0006563812517942055 ................
[CV]  c1=0.16677637702548898, c2=0.0006563812517942055, score=0.890564 -   1.5s
[CV] c1=0.325384481199424, c2=0.0023061500489121515 ..................
[CV]  c1=0.325384481199424, c2=0.0023061500489121515, score=0.905620 -   1.4s
[CV] c1=0.6772076928110674, c2=0.05607578026258279 ...................
[CV]  c1=0.6772076928110674, c2=0.05607578026258279, score=0.701684 -   1.5s
[CV] c1=0.8714686812127372, c2=0.04495135899411991 ...................
[CV]  c1=0.8714686812127372, c2=0.04495135899411991, score=0.682134 -   1.5s
[CV] c1=0.22478363765268647, c2=0.03667151608679067 ..................
[CV]  c1=0.22478363765268647, c2=0.03667151608679067, score=0.793435 -   1.4s
[CV] c1=0.12590772775130907, c2=0.12319104870093972 ..................
[CV]  c1=0.12590772775130907, c2=0.12319104870093972, score=0.817995 -   1.4s
[CV] c1=0.2673707286360951, c2=0.06016162707458758 ...................
[CV]  c1=0.2673707286360951, c2=0.06016162707458758, score=0.910186 -   1.4s
[CV] c1=0.252485481576018, c2=0.003304712584512138 ...................
[CV]  c1=0.252485481576018, c2=0.003304712584512138, score=0.901717 -   1.4s
[CV] c1=0.8623563108273266, c2=0.01332681498068848 ...................
[CV]  c1=0.8623563108273266, c2=0.01332681498068848, score=0.677100 -   1.2s
[CV] c1=0.7956063325385256, c2=0.004982176936436994 ..................
[CV]  c1=0.7956063325385256, c2=0.004982176936436994, score=0.868627 -   1.4s
[CV] c1=0.011853256029923926, c2=0.017164839272991138 ................
[CV]  c1=0.011853256029923926, c2=0.017164839272991138, score=0.792368 -   1.1s
[CV] c1=0.09889845851555763, c2=0.05560164252127312 ..................
[CV]  c1=0.09889845851555763, c2=0.05560164252127312, score=0.901717 -   1.4s
[CV] c1=1.4175499301819712, c2=0.010605712349689551 ..................
[CV]  c1=1.4175499301819712, c2=0.010605712349689551, score=0.640966 -   1.1s
[CV] c1=0.8534274874203822, c2=0.10555277929518417 ...................
[CV]  c1=0.8534274874203822, c2=0.10555277929518417, score=0.789930 -   1.3s
[CV] c1=2.3140532656719497, c2=0.0822278029640433 ....................
[CV]  c1=2.3140532656719497, c2=0.0822278029640433, score=0.684596 -   1.3s
[CV] c1=0.8714686812127372, c2=0.04495135899411991 ...................
[CV]  c1=0.8714686812127372, c2=0.04495135899411991, score=0.878601 -   1.5s
[CV] c1=0.22478363765268647, c2=0.03667151608679067 ..................
[CV]  c1=0.22478363765268647, c2=0.03667151608679067, score=0.755606 -   1.2s
[CV] c1=0.10219342323455509, c2=0.05301044375306988 ..................
[CV]  c1=0.10219342323455509, c2=0.05301044375306988, score=0.761970 -   1.1s
[CV] c1=1.1255632568608445, c2=0.03985345341641039 ...................
[CV]  c1=1.1255632568608445, c2=0.03985345341641039, score=0.778514 -   1.3s
[CV] c1=0.7944166043266108, c2=0.02302818283857333 ...................
[CV]  c1=0.7944166043266108, c2=0.02302818283857333, score=0.799545 -   1.4s
[CV] c1=0.5315916987068772, c2=0.02662289029762628 ...................
[CV]  c1=0.5315916987068772, c2=0.02662289029762628, score=0.749758 -   1.1s
[CV] c1=0.44212857163076136, c2=0.002116275995881549 .................
[CV]  c1=0.44212857163076136, c2=0.002116275995881549, score=0.833323 -   1.5s
[CV] c1=0.40347966806370245, c2=0.0710991251356767 ...................
[CV]  c1=0.40347966806370245, c2=0.0710991251356767, score=0.733457 -   1.2s
[CV] c1=0.11727683793998973, c2=0.04097453038134133 ..................
[CV]  c1=0.11727683793998973, c2=0.04097453038134133, score=0.901717 -   1.4s
[CV] c1=0.16677637702548898, c2=0.0006563812517942055 ................
[CV]  c1=0.16677637702548898, c2=0.0006563812517942055, score=0.799774 -   1.5s
[CV] c1=0.325384481199424, c2=0.0023061500489121515 ..................
[CV]  c1=0.325384481199424, c2=0.0023061500489121515, score=0.825423 -   1.5s
[CV] c1=2.3140532656719497, c2=0.0822278029640433 ....................
[CV]  c1=2.3140532656719497, c2=0.0822278029640433, score=0.592815 -   1.5s
[CV] c1=0.18088288982991957, c2=0.008409636317930838 .................
[CV]  c1=0.18088288982991957, c2=0.008409636317930838, score=0.847922 -   1.2s
[CV] c1=0.7277205586074456, c2=0.04959984338595814 ...................
[CV]  c1=0.7277205586074456, c2=0.04959984338595814, score=0.822112 -   1.5s
[CV] c1=0.1776584685582416, c2=0.014779642333536855 ..................
[CV]  c1=0.1776584685582416, c2=0.014779642333536855, score=0.740318 -   1.4s
[CV] c1=0.6007134825124084, c2=0.006645585815497035 ..................
[CV]  c1=0.6007134825124084, c2=0.006645585815497035, score=0.737424 -   1.2s
[CV] c1=0.04747361023195874, c2=0.003618008982151274 .................
[CV]  c1=0.04747361023195874, c2=0.003618008982151274, score=0.772680 -   1.2s
[CV] c1=0.252485481576018, c2=0.003304712584512138 ...................
[CV]  c1=0.252485481576018, c2=0.003304712584512138, score=0.797118 -   1.6s
[CV] c1=0.16892182144839007, c2=0.016041820568201776 .................
[CV]  c1=0.16892182144839007, c2=0.016041820568201776, score=0.802205 -   1.5s
[CV] c1=0.5036893632653732, c2=0.12391426705098425 ...................
[CV]  c1=0.5036893632653732, c2=0.12391426705098425, score=0.712854 -   1.4s
[CV] c1=0.6466060795621059, c2=0.011383189865363012 ..................
[CV]  c1=0.6466060795621059, c2=0.011383189865363012, score=0.810792 -   1.4s
[CV] c1=0.3079417773652378, c2=0.06016846121563046 ...................
[CV]  c1=0.3079417773652378, c2=0.06016846121563046, score=0.811184 -   1.5s
[CV] c1=0.325384481199424, c2=0.0023061500489121515 ..................
[CV]  c1=0.325384481199424, c2=0.0023061500489121515, score=0.791133 -   1.4s
[CV] c1=0.6772076928110674, c2=0.05607578026258279 ...................
[CV]  c1=0.6772076928110674, c2=0.05607578026258279, score=0.813441 -   1.5s
[CV] c1=0.3553542599624258, c2=0.039548855105070946 ..................
[CV]  c1=0.3553542599624258, c2=0.039548855105070946, score=0.782385 -   1.5s
[CV] c1=0.7624034717817811, c2=0.0023004770931360614 .................
[CV]  c1=0.7624034717817811, c2=0.0023004770931360614, score=0.679195 -   1.1s
[CV] c1=0.9764187856442599, c2=0.06853250968175255 ...................
[CV]  c1=0.9764187856442599, c2=0.06853250968175255, score=0.879495 -   1.4s
[CV] c1=1.1255632568608445, c2=0.03985345341641039 ...................
[CV]  c1=1.1255632568608445, c2=0.03985345341641039, score=0.635079 -   1.4s
[CV] c1=0.7944166043266108, c2=0.02302818283857333 ...................
[CV]  c1=0.7944166043266108, c2=0.02302818283857333, score=0.806379 -   1.4s
[CV] c1=0.11562109326230584, c2=0.04185227083815915 ..................
[CV]  c1=0.11562109326230584, c2=0.04185227083815915, score=0.808350 -   1.4s
[CV] c1=0.043997298769209214, c2=0.03261877487057551 .................
[CV]  c1=0.043997298769209214, c2=0.03261877487057551, score=0.895071 -   1.4s
[CV] c1=0.5607946730443474, c2=0.07249070836189897 ...................
[CV]  c1=0.5607946730443474, c2=0.07249070836189897, score=0.726179 -   1.1s
[CV] c1=0.11727683793998973, c2=0.04097453038134133 ..................
[CV]  c1=0.11727683793998973, c2=0.04097453038134133, score=0.822666 -   1.4s
[CV] c1=0.16677637702548898, c2=0.0006563812517942055 ................
[CV]  c1=0.16677637702548898, c2=0.0006563812517942055, score=0.812576 -   1.5s
[CV] c1=0.8534274874203822, c2=0.10555277929518417 ...................
[CV]  c1=0.8534274874203822, c2=0.10555277929518417, score=0.662241 -   1.4s
[CV] c1=0.2878693389600323, c2=0.006087643288272037 ..................
[CV]  c1=0.2878693389600323, c2=0.006087643288272037, score=0.903704 -   1.4s
[CV] c1=0.5964714975227963, c2=0.10732814589935405 ...................
[CV]  c1=0.5964714975227963, c2=0.10732814589935405, score=0.709563 -   1.5s
[CV] c1=0.28058203058305836, c2=0.019099777916047184 .................
[CV]  c1=0.28058203058305836, c2=0.019099777916047184, score=0.736584 -   1.2s
[CV] c1=0.12616768560221348, c2=0.006035835355863926 .................
[CV]  c1=0.12616768560221348, c2=0.006035835355863926, score=0.901717 -   1.4s
[CV] c1=0.41540411352816564, c2=0.07514404404178147 ..................
[CV]  c1=0.41540411352816564, c2=0.07514404404178147, score=0.737304 -   1.1s
[CV] c1=0.8982296620485387, c2=0.03246036521709954 ...................
[CV]  c1=0.8982296620485387, c2=0.03246036521709954, score=0.678843 -   1.4s
[CV] c1=0.11562109326230584, c2=0.04185227083815915 ..................
[CV]  c1=0.11562109326230584, c2=0.04185227083815915, score=0.897326 -   1.3s
[CV] c1=0.44212857163076136, c2=0.002116275995881549 .................
[CV]  c1=0.44212857163076136, c2=0.002116275995881549, score=0.859033 -   1.4s
[CV] c1=1.2809567513391413, c2=0.013905016556523944 ..................
[CV]  c1=1.2809567513391413, c2=0.013905016556523944, score=0.621522 -   1.4s
[CV] c1=0.04114695684846016, c2=0.02949754224302857 ..................
[CV]  c1=0.04114695684846016, c2=0.02949754224302857, score=0.883167 -   1.4s
[CV] c1=0.10440740832112456, c2=0.005491184360037947 .................
[CV]  c1=0.10440740832112456, c2=0.005491184360037947, score=0.819651 -   1.5s
[CV] c1=1.0363551405396203, c2=0.07719701951820901 ...................
[CV]  c1=1.0363551405396203, c2=0.07719701951820901, score=0.645638 -   1.2s
[CV] c1=2.3140532656719497, c2=0.0822278029640433 ....................
[CV]  c1=2.3140532656719497, c2=0.0822278029640433, score=0.777576 -   1.4s
[CV] c1=0.2417090452840031, c2=0.011189022485349137 ..................
[CV]  c1=0.2417090452840031, c2=0.011189022485349137, score=0.789067 -   1.5s
[CV] c1=0.28058203058305836, c2=0.019099777916047184 .................
[CV]  c1=0.28058203058305836, c2=0.019099777916047184, score=0.843252 -   1.5s
[CV] c1=0.12590772775130907, c2=0.12319104870093972 ..................
[CV]  c1=0.12590772775130907, c2=0.12319104870093972, score=0.846472 -   1.3s
[CV] c1=0.9401584024675326, c2=0.010206132966094081 ..................
[CV]  c1=0.9401584024675326, c2=0.010206132966094081, score=0.678843 -   1.4s
[CV] c1=0.07523130292162265, c2=0.030375178643559042 .................
[CV]  c1=0.07523130292162265, c2=0.030375178643559042, score=0.854734 -   1.5s
[CV] c1=0.8623563108273266, c2=0.01332681498068848 ...................
[CV]  c1=0.8623563108273266, c2=0.01332681498068848, score=0.870368 -   1.4s
[CV] c1=0.3895834335684855, c2=0.002274214061860826 ..................
[CV]  c1=0.3895834335684855, c2=0.002274214061860826, score=0.746780 -   1.1s
[CV] c1=0.011853256029923926, c2=0.017164839272991138 ................
[CV]  c1=0.011853256029923926, c2=0.017164839272991138, score=0.879155 -   1.4s
[CV] c1=0.6810377859787416, c2=0.03797047572853177 ...................
[CV]  c1=0.6810377859787416, c2=0.03797047572853177, score=0.711423 -   1.5s
[CV] c1=0.4836474837787922, c2=0.07649192420247769 ...................
[CV]  c1=0.4836474837787922, c2=0.07649192420247769, score=0.737071 -   1.2s
[CV] c1=0.04155890238123583, c2=0.053323705946051986 .................
[CV]  c1=0.04155890238123583, c2=0.053323705946051986, score=0.880253 -   1.4s
[CV] c1=1.1336772989243689, c2=0.026662680818486773 ..................
[CV]  c1=1.1336772989243689, c2=0.026662680818486773, score=0.646482 -   1.1s
[CV] c1=0.2417090452840031, c2=0.011189022485349137 ..................
[CV]  c1=0.2417090452840031, c2=0.011189022485349137, score=0.891905 -   1.4s
[CV] c1=0.28058203058305836, c2=0.019099777916047184 .................
[CV]  c1=0.28058203058305836, c2=0.019099777916047184, score=0.798052 -   1.4s
[CV] c1=0.12590772775130907, c2=0.12319104870093972 ..................
[CV]  c1=0.12590772775130907, c2=0.12319104870093972, score=0.802267 -   1.1s
[CV] c1=0.41540411352816564, c2=0.07514404404178147 ..................
[CV]  c1=0.41540411352816564, c2=0.07514404404178147, score=0.792761 -   1.4s
[CV] c1=0.09901274716452911, c2=0.03818083910315459 ..................
[CV]  c1=0.09901274716452911, c2=0.03818083910315459, score=0.898152 -   1.4s
[CV] c1=0.8013211058486037, c2=0.004377746789652917 ..................
[CV]  c1=0.8013211058486037, c2=0.004377746789652917, score=0.703370 -   1.1s
[CV] c1=0.04487564717276167, c2=0.13509348603889246 ..................
[CV]  c1=0.04487564717276167, c2=0.13509348603889246, score=0.846826 -   1.4s
[CV] c1=0.40347966806370245, c2=0.0710991251356767 ...................
[CV]  c1=0.40347966806370245, c2=0.0710991251356767, score=0.774522 -   1.4s
[CV] c1=0.04114695684846016, c2=0.02949754224302857 ..................
[CV]  c1=0.04114695684846016, c2=0.02949754224302857, score=0.815454 -   1.4s
[CV] c1=0.20628677567879058, c2=0.013943621869153988 .................
[CV]  c1=0.20628677567879058, c2=0.013943621869153988, score=0.791400 -   1.6s
[CV] c1=1.7838277967876015, c2=0.003596705172996053 ..................
[CV]  c1=1.7838277967876015, c2=0.003596705172996053, score=0.600285 -   1.1s
[CV] c1=2.3140532656719497, c2=0.0822278029640433 ....................
[CV]  c1=2.3140532656719497, c2=0.0822278029640433, score=0.536372 -   1.5s
[CV] c1=0.2417090452840031, c2=0.011189022485349137 ..................
[CV]  c1=0.2417090452840031, c2=0.011189022485349137, score=0.815935 -   1.5s
[CV] c1=0.22478363765268647, c2=0.03667151608679067 ..................
[CV]  c1=0.22478363765268647, c2=0.03667151608679067, score=0.912049 -   1.4s
[CV] c1=0.12590772775130907, c2=0.12319104870093972 ..................
[CV]  c1=0.12590772775130907, c2=0.12319104870093972, score=0.879193 -   1.3s
[CV] c1=0.9401584024675326, c2=0.010206132966094081 ..................
[CV]  c1=0.9401584024675326, c2=0.010206132966094081, score=0.874589 -   1.4s
[CV] c1=0.07523130292162265, c2=0.030375178643559042 .................
[CV]  c1=0.07523130292162265, c2=0.030375178643559042, score=0.755583 -   1.1s
[CV] c1=0.5315916987068772, c2=0.02662289029762628 ...................
[CV]  c1=0.5315916987068772, c2=0.02662289029762628, score=0.784091 -   1.4s
[CV] c1=0.17556428986402425, c2=0.01887733101473795 ..................
[CV]  c1=0.17556428986402425, c2=0.01887733101473795, score=0.800193 -   1.5s
[CV] c1=0.5974068820810495, c2=0.03674096306145378 ...................
[CV]  c1=0.5974068820810495, c2=0.03674096306145378, score=0.824829 -   1.4s
[CV] c1=0.6810377859787416, c2=0.03797047572853177 ...................
[CV]  c1=0.6810377859787416, c2=0.03797047572853177, score=0.700685 -   1.1s
[CV] c1=0.20628677567879058, c2=0.013943621869153988 .................
[CV]  c1=0.20628677567879058, c2=0.013943621869153988, score=0.842418 -   1.5s
[CV] c1=1.7838277967876015, c2=0.003596705172996053 ..................
[CV]  c1=1.7838277967876015, c2=0.003596705172996053, score=0.724772 -   1.3s
[CV] c1=0.07260339988050551, c2=0.05802339526084502 ..................
[CV]  c1=0.07260339988050551, c2=0.05802339526084502, score=0.849381 -   1.3s
[CV] c1=0.8714686812127372, c2=0.04495135899411991 ...................
[CV]  c1=0.8714686812127372, c2=0.04495135899411991, score=0.806379 -   1.4s
[CV] c1=0.22478363765268647, c2=0.03667151608679067 ..................
[CV]  c1=0.22478363765268647, c2=0.03667151608679067, score=0.845839 -   1.3s
[CV] c1=0.12590772775130907, c2=0.12319104870093972 ..................
[CV]  c1=0.12590772775130907, c2=0.12319104870093972, score=0.789438 -   1.5s
[CV] c1=0.9401584024675326, c2=0.010206132966094081 ..................
[CV]  c1=0.9401584024675326, c2=0.010206132966094081, score=0.776800 -   1.4s
[CV] c1=0.252485481576018, c2=0.003304712584512138 ...................
[CV]  c1=0.252485481576018, c2=0.003304712584512138, score=0.752217 -   1.3s
[CV] c1=0.16785947338286034, c2=0.02948769800004149 ..................
[CV]  c1=0.16785947338286034, c2=0.02948769800004149, score=0.754913 -   1.1s
[CV] c1=0.043997298769209214, c2=0.03261877487057551 .................
[CV]  c1=0.043997298769209214, c2=0.03261877487057551, score=0.846845 -   1.4s
[CV] c1=0.5607946730443474, c2=0.07249070836189897 ...................
[CV]  c1=0.5607946730443474, c2=0.07249070836189897, score=0.790044 -   1.4s
[CV] c1=0.09889845851555763, c2=0.05560164252127312 ..................
[CV]  c1=0.09889845851555763, c2=0.05560164252127312, score=0.783004 -   1.1s
[CV] c1=0.10440740832112456, c2=0.005491184360037947 .................
[CV]  c1=0.10440740832112456, c2=0.005491184360037947, score=0.874486 -   1.4s
[CV] c1=1.0363551405396203, c2=0.07719701951820901 ...................
[CV]  c1=1.0363551405396203, c2=0.07719701951820901, score=0.640309 -   1.4s
[CV] c1=0.07260339988050551, c2=0.05802339526084502 ..................
[CV]  c1=0.07260339988050551, c2=0.05802339526084502, score=0.906495 -   1.4s
[CV] c1=0.3553542599624258, c2=0.039548855105070946 ..................
[CV]  c1=0.3553542599624258, c2=0.039548855105070946, score=0.852430 -   1.4s
[CV] c1=0.018200792997082906, c2=0.02307578431271634 .................
[CV]  c1=0.018200792997082906, c2=0.02307578431271634, score=0.813887 -   1.4s
[CV] c1=0.12616768560221348, c2=0.006035835355863926 .................
[CV]  c1=0.12616768560221348, c2=0.006035835355863926, score=0.745620 -   1.2s
[CV] c1=1.1255632568608445, c2=0.03985345341641039 ...................
[CV]  c1=1.1255632568608445, c2=0.03985345341641039, score=0.874733 -   1.4s
[CV] c1=0.7944166043266108, c2=0.02302818283857333 ...................
[CV]  c1=0.7944166043266108, c2=0.02302818283857333, score=0.692024 -   1.4s
[CV] c1=0.11562109326230584, c2=0.04185227083815915 ..................
[CV]  c1=0.11562109326230584, c2=0.04185227083815915, score=0.845040 -   1.4s
[CV] c1=0.04487564717276167, c2=0.13509348603889246 ..................
[CV]  c1=0.04487564717276167, c2=0.13509348603889246, score=0.802854 -   1.5s
[CV] c1=0.5607946730443474, c2=0.07249070836189897 ...................
[CV]  c1=0.5607946730443474, c2=0.07249070836189897, score=0.806587 -   1.3s
[CV] c1=0.28416773404953577, c2=0.17729936488546041 ..................
[CV]  c1=0.28416773404953577, c2=0.17729936488546041, score=0.744156 -   1.4s
[CV] c1=1.4175499301819712, c2=0.010605712349689551 ..................
[CV]  c1=1.4175499301819712, c2=0.010605712349689551, score=0.856072 -   1.4s
[CV] c1=1.7838277967876015, c2=0.003596705172996053 ..................
[CV]  c1=1.7838277967876015, c2=0.003596705172996053, score=0.821377 -   1.4s
[CV] c1=0.07260339988050551, c2=0.05802339526084502 ..................
[CV]  c1=0.07260339988050551, c2=0.05802339526084502, score=0.762583 -   1.1s
[CV] c1=0.18088288982991957, c2=0.008409636317930838 .................
[CV]  c1=0.18088288982991957, c2=0.008409636317930838, score=0.901717 -   1.3s
[CV] c1=0.43179755185493285, c2=0.019417821459249467 .................
[CV]  c1=0.43179755185493285, c2=0.019417821459249467, score=0.904119 -   1.5s
[CV] c1=0.1776584685582416, c2=0.014779642333536855 ..................
[CV]  c1=0.1776584685582416, c2=0.014779642333536855, score=0.794483 -   1.4s
[CV] c1=0.6007134825124084, c2=0.006645585815497035 ..................
[CV]  c1=0.6007134825124084, c2=0.006645585815497035, score=0.810792 -   1.5s
[CV] c1=0.8982296620485387, c2=0.03246036521709954 ...................
[CV]  c1=0.8982296620485387, c2=0.03246036521709954, score=0.796612 -   1.5s
[CV] c1=0.11562109326230584, c2=0.04185227083815915 ..................
[CV]  c1=0.11562109326230584, c2=0.04185227083815915, score=0.854734 -   1.5s
[CV] c1=0.043997298769209214, c2=0.03261877487057551 .................
[CV]  c1=0.043997298769209214, c2=0.03261877487057551, score=0.778187 -   1.1s
[CV] c1=1.2809567513391413, c2=0.013905016556523944 ..................
[CV]  c1=1.2809567513391413, c2=0.013905016556523944, score=0.652890 -   1.5s
[CV] c1=0.04114695684846016, c2=0.02949754224302857 ..................
[CV]  c1=0.04114695684846016, c2=0.02949754224302857, score=0.853095 -   1.4s
[CV] c1=0.10440740832112456, c2=0.005491184360037947 .................
[CV]  c1=0.10440740832112456, c2=0.005491184360037947, score=0.861704 -   1.4s
[CV] c1=1.0363551405396203, c2=0.07719701951820901 ...................
[CV]  c1=1.0363551405396203, c2=0.07719701951820901, score=0.867593 -   1.4s
[CV] c1=0.2878693389600323, c2=0.006087643288272037 ..................
[CV]  c1=0.2878693389600323, c2=0.006087643288272037, score=0.799144 -   1.5s
[CV] c1=0.8714686812127372, c2=0.04495135899411991 ...................
[CV]  c1=0.8714686812127372, c2=0.04495135899411991, score=0.661699 -   1.2s
[CV] c1=0.7624034717817811, c2=0.0023004770931360614 .................
[CV]  c1=0.7624034717817811, c2=0.0023004770931360614, score=0.872615 -   1.4s
[CV] c1=0.12616768560221348, c2=0.006035835355863926 .................
[CV]  c1=0.12616768560221348, c2=0.006035835355863926, score=0.861704 -   1.3s
[CV] c1=0.41540411352816564, c2=0.07514404404178147 ..................
[CV]  c1=0.41540411352816564, c2=0.07514404404178147, score=0.840755 -   1.4s
[CV] c1=0.19532963556250707, c2=0.11583017844322732 ..................
[CV]  c1=0.19532963556250707, c2=0.11583017844322732, score=0.768644 -   1.1s
[CV] c1=0.23852276882197815, c2=0.076698341840843 ....................
[CV]  c1=0.23852276882197815, c2=0.076698341840843, score=0.741325 -   1.2s
[CV] c1=0.16192028414295992, c2=0.007696747185708854 .................
[CV]  c1=0.16192028414295992, c2=0.007696747185708854, score=0.733388 -   1.1s
[CV] c1=0.33251168989003926, c2=0.037037408031903855 .................
[CV]  c1=0.33251168989003926, c2=0.037037408031903855, score=0.903757 -   1.5s
[CV] c1=0.23051598528340558, c2=0.004568320268266517 .................
[CV]  c1=0.23051598528340558, c2=0.004568320268266517, score=0.747035 -   1.1s
[CV] c1=0.4714317037987494, c2=0.05665029320968169 ...................
[CV]  c1=0.4714317037987494, c2=0.05665029320968169, score=0.739129 -   1.1s
[CV] c1=1.4175499301819712, c2=0.010605712349689551 ..................
[CV]  c1=1.4175499301819712, c2=0.010605712349689551, score=0.623986 -   1.4s
[CV] c1=0.04155890238123583, c2=0.053323705946051986 .................
[CV]  c1=0.04155890238123583, c2=0.053323705946051986, score=0.783668 -   1.1s
[CV] c1=0.2878693389600323, c2=0.006087643288272037 ..................
[CV]  c1=0.2878693389600323, c2=0.006087643288272037, score=0.845839 -   1.4s
[CV] c1=0.18088288982991957, c2=0.008409636317930838 .................
[CV]  c1=0.18088288982991957, c2=0.008409636317930838, score=0.861704 -   1.1s
[CV] c1=0.7277205586074456, c2=0.04959984338595814 ...................
[CV]  c1=0.7277205586074456, c2=0.04959984338595814, score=0.686895 -   1.2s
[CV] c1=0.929845309572221, c2=0.21917572706365093 ....................
[CV]  c1=0.929845309572221, c2=0.21917572706365093, score=0.631761 -   1.5s
[CV] c1=0.38956488748402857, c2=0.17880238725587463 ..................
[CV]  c1=0.38956488748402857, c2=0.17880238725587463, score=0.825588 -   1.3s
[CV] c1=0.2673707286360951, c2=0.06016162707458758 ...................
[CV]  c1=0.2673707286360951, c2=0.06016162707458758, score=0.862518 -   1.5s
[CV] c1=0.5479824901824164, c2=0.07247375681092648 ...................
[CV]  c1=0.5479824901824164, c2=0.07247375681092648, score=0.882517 -   1.4s
[CV] c1=0.16892182144839007, c2=0.016041820568201776 .................
[CV]  c1=0.16892182144839007, c2=0.016041820568201776, score=0.746462 -   1.2s
[CV] c1=0.3895834335684855, c2=0.002274214061860826 ..................
[CV]  c1=0.3895834335684855, c2=0.002274214061860826, score=0.912173 -   1.4s
[CV] c1=0.054857945135077954, c2=0.0489459823621155 ..................
[CV]  c1=0.054857945135077954, c2=0.0489459823621155, score=0.818706 -   1.4s
[CV] c1=0.4714317037987494, c2=0.05665029320968169 ...................
[CV]  c1=0.4714317037987494, c2=0.05665029320968169, score=0.792761 -   1.3s
[CV] c1=0.4836474837787922, c2=0.07649192420247769 ...................
[CV]  c1=0.4836474837787922, c2=0.07649192420247769, score=0.730628 -   1.5s
[CV] c1=0.18796383325765884, c2=0.007667617327864973 .................
[CV]  c1=0.18796383325765884, c2=0.007667617327864973, score=0.746145 -   1.2s
[CV] c1=0.5079976087385729, c2=0.17545187175091875 ...................
[CV]  c1=0.5079976087385729, c2=0.17545187175091875, score=0.703955 -   1.1s
[CV] c1=0.3553542599624258, c2=0.039548855105070946 ..................
[CV]  c1=0.3553542599624258, c2=0.039548855105070946, score=0.901989 -   1.4s
[CV] c1=0.018200792997082906, c2=0.02307578431271634 .................
[CV]  c1=0.018200792997082906, c2=0.02307578431271634, score=0.816317 -   1.4s
[CV] c1=0.9764187856442599, c2=0.06853250968175255 ...................
[CV]  c1=0.9764187856442599, c2=0.06853250968175255, score=0.693174 -   1.5s
[CV] c1=0.41540411352816564, c2=0.07514404404178147 ..................
[CV]  c1=0.41540411352816564, c2=0.07514404404178147, score=0.752974 -   1.5s
[CV] c1=0.19532963556250707, c2=0.11583017844322732 ..................
[CV]  c1=0.19532963556250707, c2=0.11583017844322732, score=0.817995 -   1.5s
[CV] c1=0.8013211058486037, c2=0.004377746789652917 ..................
[CV]  c1=0.8013211058486037, c2=0.004377746789652917, score=0.818217 -   1.3s
[CV] c1=0.043997298769209214, c2=0.03261877487057551 .................
[CV]  c1=0.043997298769209214, c2=0.03261877487057551, score=0.811238 -   1.5s
[CV] c1=0.5974068820810495, c2=0.03674096306145378 ...................
[CV]  c1=0.5974068820810495, c2=0.03674096306145378, score=0.815223 -   1.4s
[CV] c1=0.09889845851555763, c2=0.05560164252127312 ..................
[CV]  c1=0.09889845851555763, c2=0.05560164252127312, score=0.810739 -   1.4s
[CV] c1=1.4175499301819712, c2=0.010605712349689551 ..................
[CV]  c1=1.4175499301819712, c2=0.010605712349689551, score=0.772409 -   1.4s
[CV] c1=1.7838277967876015, c2=0.003596705172996053 ..................
[CV]  c1=1.7838277967876015, c2=0.003596705172996053, score=0.603402 -   1.4s
[CV] c1=0.07260339988050551, c2=0.05802339526084502 ..................
[CV]  c1=0.07260339988050551, c2=0.05802339526084502, score=0.818706 -   1.4s
[CV] c1=0.44818388044912943, c2=0.027047365736524828 .................
[CV]  c1=0.44818388044912943, c2=0.027047365736524828, score=0.737424 -   1.0s
[CV] c1=0.1385156338899242, c2=0.03246288845000155 ...................
[CV]  c1=0.1385156338899242, c2=0.03246288845000155, score=0.901717 -   1.4s
[CV] c1=0.929845309572221, c2=0.21917572706365093 ....................
[CV]  c1=0.929845309572221, c2=0.21917572706365093, score=0.657450 -   1.1s
[CV] c1=0.10219342323455509, c2=0.05301044375306988 ..................
[CV]  c1=0.10219342323455509, c2=0.05301044375306988, score=0.846472 -   1.3s
[CV] c1=0.37624220780182926, c2=0.07436254215113361 ..................
[CV]  c1=0.37624220780182926, c2=0.07436254215113361, score=0.744401 -   1.2s
[CV] c1=0.19532963556250707, c2=0.11583017844322732 ..................
[CV]  c1=0.19532963556250707, c2=0.11583017844322732, score=0.905513 -   1.5s
[CV] c1=0.5315916987068772, c2=0.02662289029762628 ...................
[CV]  c1=0.5315916987068772, c2=0.02662289029762628, score=0.827908 -   1.4s
[CV] c1=0.17556428986402425, c2=0.01887733101473795 ..................
[CV]  c1=0.17556428986402425, c2=0.01887733101473795, score=0.768352 -   1.1s
[CV] c1=0.40347966806370245, c2=0.0710991251356767 ...................
[CV]  c1=0.40347966806370245, c2=0.0710991251356767, score=0.850472 -   1.4s
[CV] c1=0.04114695684846016, c2=0.02949754224302857 ..................
[CV]  c1=0.04114695684846016, c2=0.02949754224302857, score=0.818706 -   1.5s
[CV] c1=0.20628677567879058, c2=0.013943621869153988 .................
[CV]  c1=0.20628677567879058, c2=0.013943621869153988, score=0.886701 -   1.5s
[CV] c1=1.0363551405396203, c2=0.07719701951820901 ...................
[CV]  c1=1.0363551405396203, c2=0.07719701951820901, score=0.774329 -   1.4s
[CV] c1=0.2878693389600323, c2=0.006087643288272037 ..................
[CV]  c1=0.2878693389600323, c2=0.006087643288272037, score=0.860860 -   1.5s
[CV] c1=0.5964714975227963, c2=0.10732814589935405 ...................
[CV]  c1=0.5964714975227963, c2=0.10732814589935405, score=0.790044 -   1.5s
[CV] c1=0.28058203058305836, c2=0.019099777916047184 .................
[CV]  c1=0.28058203058305836, c2=0.019099777916047184, score=0.855454 -   1.4s
[CV] c1=0.10219342323455509, c2=0.05301044375306988 ..................
[CV]  c1=0.10219342323455509, c2=0.05301044375306988, score=0.850063 -   1.5s
[CV] c1=0.9401584024675326, c2=0.010206132966094081 ..................
[CV]  c1=0.9401584024675326, c2=0.010206132966094081, score=0.806461 -   1.4s
[CV] c1=0.07523130292162265, c2=0.030375178643559042 .................
[CV]  c1=0.07523130292162265, c2=0.030375178643559042, score=0.845040 -   1.4s
[CV] c1=0.16785947338286034, c2=0.02948769800004149 ..................
[CV]  c1=0.16785947338286034, c2=0.02948769800004149, score=0.855454 -   1.3s
[CV] c1=0.7956063325385256, c2=0.004982176936436994 ..................
[CV]  c1=0.7956063325385256, c2=0.004982176936436994, score=0.805619 -   1.4s
[CV] c1=0.011853256029923926, c2=0.017164839272991138 ................
[CV]  c1=0.011853256029923926, c2=0.017164839272991138, score=0.801087 -   1.4s
[CV] c1=0.6810377859787416, c2=0.03797047572853177 ...................
[CV]  c1=0.6810377859787416, c2=0.03797047572853177, score=0.813441 -   1.5s
[CV] c1=0.4836474837787922, c2=0.07649192420247769 ...................
[CV]  c1=0.4836474837787922, c2=0.07649192420247769, score=0.838200 -   1.4s
[CV] c1=0.11193375823449048, c2=0.008123665062067261 .................
[CV]  c1=0.11193375823449048, c2=0.008123665062067261, score=0.738846 -   1.1s
[CV] c1=1.1336772989243689, c2=0.026662680818486773 ..................
[CV]  c1=1.1336772989243689, c2=0.026662680818486773, score=0.881749 -   1.3s
[CV] c1=0.18088288982991957, c2=0.008409636317930838 .................
[CV]  c1=0.18088288982991957, c2=0.008409636317930838, score=0.801735 -   1.2s
[CV] c1=0.7277205586074456, c2=0.04959984338595814 ...................
[CV]  c1=0.7277205586074456, c2=0.04959984338595814, score=0.802206 -   1.3s
[CV] c1=0.04439038150763953, c2=0.11397027146266608 ..................
[CV]  c1=0.04439038150763953, c2=0.11397027146266608, score=0.795015 -   1.4s
[CV] c1=0.008129500624285921, c2=0.11188431956917727 .................
[CV]  c1=0.008129500624285921, c2=0.11188431956917727, score=0.815753 -   1.5s
[CV] c1=0.41998355731284587, c2=0.005399891005185992 .................
[CV]  c1=0.41998355731284587, c2=0.005399891005185992, score=0.825423 -   1.5s
[CV] c1=0.23852276882197815, c2=0.076698341840843 ....................
[CV]  c1=0.23852276882197815, c2=0.076698341840843, score=0.850125 -   1.5s
[CV] c1=0.04487564717276167, c2=0.13509348603889246 ..................
[CV]  c1=0.04487564717276167, c2=0.13509348603889246, score=0.754715 -   1.2s
[CV] c1=1.2809567513391413, c2=0.013905016556523944 ..................
[CV]  c1=1.2809567513391413, c2=0.013905016556523944, score=0.870277 -   1.5s
[CV] c1=0.11727683793998973, c2=0.04097453038134133 ..................
[CV]  c1=0.11727683793998973, c2=0.04097453038134133, score=0.850208 -   1.4s
[CV] c1=0.16677637702548898, c2=0.0006563812517942055 ................
[CV]  c1=0.16677637702548898, c2=0.0006563812517942055, score=0.857757 -   1.3s
[CV] c1=0.325384481199424, c2=0.0023061500489121515 ..................
[CV]  c1=0.325384481199424, c2=0.0023061500489121515, score=0.746040 -   1.2s
[CV] c1=0.053498030783385546, c2=0.0813208792994737 ..................
[CV]  c1=0.053498030783385546, c2=0.0813208792994737, score=0.765215 -   1.2s
[CV] c1=0.39285400547255067, c2=0.013617456905868726 .................
[CV]  c1=0.39285400547255067, c2=0.013617456905868726, score=0.737424 -   1.0s
[CV] c1=0.3553542599624258, c2=0.039548855105070946 ..................
[CV]  c1=0.3553542599624258, c2=0.039548855105070946, score=0.728186 -   1.2s
[CV] c1=0.43179755185493285, c2=0.019417821459249467 .................
[CV]  c1=0.43179755185493285, c2=0.019417821459249467, score=0.802315 -   1.4s
[CV] c1=0.02823994728360004, c2=0.003042874695186179 .................
[CV]  c1=0.02823994728360004, c2=0.003042874695186179, score=0.801294 -   1.1s
[CV] c1=0.008129500624285921, c2=0.11188431956917727 .................
[CV]  c1=0.008129500624285921, c2=0.11188431956917727, score=0.794847 -   1.4s
[CV] c1=0.04747361023195874, c2=0.003618008982151274 .................
[CV]  c1=0.04747361023195874, c2=0.003618008982151274, score=0.870266 -   1.5s
[CV] c1=4.182509080227132, c2=0.1499666601696524 .....................
[CV]  c1=4.182509080227132, c2=0.1499666601696524, score=0.318003 -   1.1s
[CV] c1=0.8623563108273266, c2=0.01332681498068848 ...................
[CV]  c1=0.8623563108273266, c2=0.01332681498068848, score=0.760743 -   1.5s
[CV] c1=0.33251168989003926, c2=0.037037408031903855 .................
[CV]  c1=0.33251168989003926, c2=0.037037408031903855, score=0.739129 -   1.1s
[CV] c1=0.011853256029923926, c2=0.017164839272991138 ................
[CV]  c1=0.011853256029923926, c2=0.017164839272991138, score=0.842504 -   1.3s
[CV] c1=0.6810377859787416, c2=0.03797047572853177 ...................
[CV]  c1=0.6810377859787416, c2=0.03797047572853177, score=0.807682 -   1.3s
[CV] c1=0.4462006591272855, c2=0.05281174871127925 ...................
[CV]  c1=0.4462006591272855, c2=0.05281174871127925, score=0.745182 -   1.1s
[CV] c1=1.0363551405396203, c2=0.07719701951820901 ...................
[CV]  c1=1.0363551405396203, c2=0.07719701951820901, score=0.622416 -   1.5s
[CV] c1=0.07260339988050551, c2=0.05802339526084502 ..................
[CV]  c1=0.07260339988050551, c2=0.05802339526084502, score=0.857413 -   1.4s
[CV] c1=0.44818388044912943, c2=0.027047365736524828 .................
[CV]  c1=0.44818388044912943, c2=0.027047365736524828, score=0.811184 -   1.2s
[CV] c1=0.7277205586074456, c2=0.04959984338595814 ...................
[CV]  c1=0.7277205586074456, c2=0.04959984338595814, score=0.702532 -   1.4s
[CV] c1=0.04439038150763953, c2=0.11397027146266608 ..................
[CV]  c1=0.04439038150763953, c2=0.11397027146266608, score=0.847928 -   1.5s
[CV] c1=0.6007134825124084, c2=0.006645585815497035 ..................
[CV]  c1=0.6007134825124084, c2=0.006645585815497035, score=0.795017 -   1.4s
[CV] c1=0.41998355731284587, c2=0.005399891005185992 .................
[CV]  c1=0.41998355731284587, c2=0.005399891005185992, score=0.761392 -   1.5s
[CV] c1=0.23852276882197815, c2=0.076698341840843 ....................
[CV]  c1=0.23852276882197815, c2=0.076698341840843, score=0.787308 -   1.5s
[CV] c1=0.04487564717276167, c2=0.13509348603889246 ..................
[CV]  c1=0.04487564717276167, c2=0.13509348603889246, score=0.875580 -   1.5s
[CV] c1=0.5607946730443474, c2=0.07249070836189897 ...................
[CV]  c1=0.5607946730443474, c2=0.07249070836189897, score=0.882517 -   1.5s
[CV] c1=0.28416773404953577, c2=0.17729936488546041 ..................
[CV]  c1=0.28416773404953577, c2=0.17729936488546041, score=0.805790 -   1.5s
[CV] c1=0.4462006591272855, c2=0.05281174871127925 ...................
[CV]  c1=0.4462006591272855, c2=0.05281174871127925, score=0.884720 -   1.5s
[CV] c1=0.04155890238123583, c2=0.053323705946051986 .................
[CV]  c1=0.04155890238123583, c2=0.053323705946051986, score=0.834795 -   1.3s
[CV] c1=1.1336772989243689, c2=0.026662680818486773 ..................
[CV]  c1=1.1336772989243689, c2=0.026662680818486773, score=0.774168 -   1.2s
[CV] c1=0.2417090452840031, c2=0.011189022485349137 ..................
[CV]  c1=0.2417090452840031, c2=0.011189022485349137, score=0.861704 -   1.3s
[CV] c1=0.28058203058305836, c2=0.019099777916047184 .................
[CV]  c1=0.28058203058305836, c2=0.019099777916047184, score=0.912049 -   1.4s
[CV] c1=0.10219342323455509, c2=0.05301044375306988 ..................
[CV]  c1=0.10219342323455509, c2=0.05301044375306988, score=0.810739 -   1.4s
[CV] c1=0.37624220780182926, c2=0.07436254215113361 ..................
[CV]  c1=0.37624220780182926, c2=0.07436254215113361, score=0.798138 -   1.5s
[CV] c1=0.07523130292162265, c2=0.030375178643559042 .................
[CV]  c1=0.07523130292162265, c2=0.030375178643559042, score=0.810739 -   1.4s
[CV] c1=0.16785947338286034, c2=0.02948769800004149 ..................
[CV]  c1=0.16785947338286034, c2=0.02948769800004149, score=0.828733 -   1.5s
[CV] c1=0.3895834335684855, c2=0.002274214061860826 ..................
[CV]  c1=0.3895834335684855, c2=0.002274214061860826, score=0.855127 -   1.3s
[CV] c1=0.054857945135077954, c2=0.0489459823621155 ..................
[CV]  c1=0.054857945135077954, c2=0.0489459823621155, score=0.796944 -   1.1s
[CV] c1=0.09889845851555763, c2=0.05560164252127312 ..................
[CV]  c1=0.09889845851555763, c2=0.05560164252127312, score=0.849869 -   1.5s
[CV] c1=0.4462006591272855, c2=0.05281174871127925 ...................
[CV]  c1=0.4462006591272855, c2=0.05281174871127925, score=0.848741 -   1.6s
[CV] c1=0.11193375823449048, c2=0.008123665062067261 .................
[CV]  c1=0.11193375823449048, c2=0.008123665062067261, score=0.852089 -   1.3s
[CV] c1=0.5079976087385729, c2=0.17545187175091875 ...................
[CV]  c1=0.5079976087385729, c2=0.17545187175091875, score=0.791667 -   1.2s
[CV] c1=0.5964714975227963, c2=0.10732814589935405 ...................
[CV]  c1=0.5964714975227963, c2=0.10732814589935405, score=0.875899 -   1.5s
[CV] c1=0.7624034717817811, c2=0.0023004770931360614 .................
[CV]  c1=0.7624034717817811, c2=0.0023004770931360614, score=0.686448 -   1.4s
[CV] c1=0.10219342323455509, c2=0.05301044375306988 ..................
[CV]  c1=0.10219342323455509, c2=0.05301044375306988, score=0.892121 -   1.5s
[CV] c1=0.37624220780182926, c2=0.07436254215113361 ..................
[CV]  c1=0.37624220780182926, c2=0.07436254215113361, score=0.844685 -   1.4s
[CV] c1=0.07523130292162265, c2=0.030375178643559042 .................
[CV]  c1=0.07523130292162265, c2=0.030375178643559042, score=0.901717 -   1.4s
[CV] c1=0.16785947338286034, c2=0.02948769800004149 ..................
[CV]  c1=0.16785947338286034, c2=0.02948769800004149, score=0.901717 -   1.4s
[CV] c1=0.7956063325385256, c2=0.004982176936436994 ..................
[CV]  c1=0.7956063325385256, c2=0.004982176936436994, score=0.694511 -   1.2s
[CV] c1=0.5974068820810495, c2=0.03674096306145378 ...................
[CV]  c1=0.5974068820810495, c2=0.03674096306145378, score=0.887615 -   1.5s
[CV] c1=0.09889845851555763, c2=0.05560164252127312 ..................
[CV]  c1=0.09889845851555763, c2=0.05560164252127312, score=0.827797 -   1.3s
[CV] c1=1.4175499301819712, c2=0.010605712349689551 ..................
[CV]  c1=1.4175499301819712, c2=0.010605712349689551, score=0.616610 -   1.4s
[CV] c1=1.7838277967876015, c2=0.003596705172996053 ..................
[CV]  c1=1.7838277967876015, c2=0.003596705172996053, score=0.554205 -   1.5s
[CV] c1=1.1336772989243689, c2=0.026662680818486773 ..................
[CV]  c1=1.1336772989243689, c2=0.026662680818486773, score=0.634800 -   1.3s
[CV] c1=0.3553542599624258, c2=0.039548855105070946 ..................
[CV]  c1=0.3553542599624258, c2=0.039548855105070946, score=0.807600 -   1.5s
[CV] c1=0.7624034717817811, c2=0.0023004770931360614 .................
[CV]  c1=0.7624034717817811, c2=0.0023004770931360614, score=0.832204 -   1.4s
[CV] c1=0.12616768560221348, c2=0.006035835355863926 .................
[CV]  c1=0.12616768560221348, c2=0.006035835355863926, score=0.847922 -   1.5s
[CV] c1=0.37624220780182926, c2=0.07436254215113361 ..................
[CV]  c1=0.37624220780182926, c2=0.07436254215113361, score=0.759996 -   1.4s
[CV] c1=0.09901274716452911, c2=0.03818083910315459 ..................
[CV]  c1=0.09901274716452911, c2=0.03818083910315459, score=0.808350 -   1.4s
[CV] c1=0.8013211058486037, c2=0.004377746789652917 ..................
[CV]  c1=0.8013211058486037, c2=0.004377746789652917, score=0.682134 -   1.5s
[CV] c1=0.17556428986402425, c2=0.01887733101473795 ..................
[CV]  c1=0.17556428986402425, c2=0.01887733101473795, score=0.815935 -   1.7s
[CV] c1=0.054857945135077954, c2=0.0489459823621155 ..................
[CV]  c1=0.054857945135077954, c2=0.0489459823621155, score=0.849027 -   1.4s
[CV] c1=0.4714317037987494, c2=0.05665029320968169 ...................
[CV]  c1=0.4714317037987494, c2=0.05665029320968169, score=0.721339 -   1.6s
[CV] c1=0.6666195876660076, c2=0.05485139375314718 ...................
[CV]  c1=0.6666195876660076, c2=0.05485139375314718, score=0.730238 -   1.1s
[CV] c1=0.04155890238123583, c2=0.053323705946051986 .................
[CV]  c1=0.04155890238123583, c2=0.053323705946051986, score=0.798698 -   1.4s
[CV] c1=1.1336772989243689, c2=0.026662680818486773 ..................
[CV]  c1=1.1336772989243689, c2=0.026662680818486773, score=0.690694 -   1.4s
[CV] c1=0.44818388044912943, c2=0.027047365736524828 .................
[CV]  c1=0.44818388044912943, c2=0.027047365736524828, score=0.851969 -   1.1s
[CV] c1=0.1385156338899242, c2=0.03246288845000155 ...................
[CV]  c1=0.1385156338899242, c2=0.03246288845000155, score=0.810739 -   1.5s
[CV] c1=0.929845309572221, c2=0.21917572706365093 ....................
[CV]  c1=0.929845309572221, c2=0.21917572706365093, score=0.624331 -   1.4s
[CV] c1=0.008129500624285921, c2=0.11188431956917727 .................
[CV]  c1=0.008129500624285921, c2=0.11188431956917727, score=0.880757 -   1.4s
[CV] c1=0.04747361023195874, c2=0.003618008982151274 .................
[CV]  c1=0.04747361023195874, c2=0.003618008982151274, score=0.879667 -   1.5s
[CV] c1=0.5479824901824164, c2=0.07247375681092648 ...................
[CV]  c1=0.5479824901824164, c2=0.07247375681092648, score=0.717169 -   1.4s
[CV] c1=0.16892182144839007, c2=0.016041820568201776 .................
[CV]  c1=0.16892182144839007, c2=0.016041820568201776, score=0.855454 -   1.4s
[CV] c1=0.33251168989003926, c2=0.037037408031903855 .................
[CV]  c1=0.33251168989003926, c2=0.037037408031903855, score=0.811184 -   1.5s
[CV] c1=0.6466060795621059, c2=0.011383189865363012 ..................
[CV]  c1=0.6466060795621059, c2=0.011383189865363012, score=0.737424 -   1.2s
[CV] c1=0.06656801789141967, c2=0.10331508672489215 ..................
[CV]  c1=0.06656801789141967, c2=0.10331508672489215, score=0.763301 -   1.2s
[CV] c1=0.4462006591272855, c2=0.05281174871127925 ...................
[CV]  c1=0.4462006591272855, c2=0.05281174871127925, score=0.798138 -   1.5s
[CV] c1=0.11193375823449048, c2=0.008123665062067261 .................
[CV]  c1=0.11193375823449048, c2=0.008123665062067261, score=0.901717 -   1.4s
[CV] c1=0.5079976087385729, c2=0.17545187175091875 ...................
[CV]  c1=0.5079976087385729, c2=0.17545187175091875, score=0.873251 -   1.3s
[CV] c1=0.29659643984608336, c2=0.030873376308591362 .................
[CV]  c1=0.29659643984608336, c2=0.030873376308591362, score=0.855454 -   1.4s
[CV] c1=0.03663592954248749, c2=0.003937596639752631 .................
[CV]  c1=0.03663592954248749, c2=0.003937596639752631, score=0.808954 -   1.4s
[CV] c1=0.02823994728360004, c2=0.003042874695186179 .................
[CV]  c1=0.02823994728360004, c2=0.003042874695186179, score=0.869325 -   1.5s
[CV] c1=1.1255632568608445, c2=0.03985345341641039 ...................
[CV]  c1=1.1255632568608445, c2=0.03985345341641039, score=0.696051 -   1.5s
[CV] c1=0.19532963556250707, c2=0.11583017844322732 ..................
[CV]  c1=0.19532963556250707, c2=0.11583017844322732, score=0.798358 -   1.5s
[CV] c1=0.8013211058486037, c2=0.004377746789652917 ..................
[CV]  c1=0.8013211058486037, c2=0.004377746789652917, score=0.881471 -   1.5s
[CV] c1=0.17556428986402425, c2=0.01887733101473795 ..................
[CV]  c1=0.17556428986402425, c2=0.01887733101473795, score=0.855454 -   1.4s
[CV] c1=0.5974068820810495, c2=0.03674096306145378 ...................
[CV]  c1=0.5974068820810495, c2=0.03674096306145378, score=0.725034 -   1.5s
[CV] c1=0.6810377859787416, c2=0.03797047572853177 ...................
[CV]  c1=0.6810377859787416, c2=0.03797047572853177, score=0.880076 -   1.4s
[CV] c1=0.4462006591272855, c2=0.05281174871127925 ...................
[CV]  c1=0.4462006591272855, c2=0.05281174871127925, score=0.755973 -   1.5s
[CV] c1=0.04155890238123583, c2=0.053323705946051986 .................
[CV]  c1=0.04155890238123583, c2=0.053323705946051986, score=0.846406 -   1.5s
[CV] c1=0.5079976087385729, c2=0.17545187175091875 ...................
[CV]  c1=0.5079976087385729, c2=0.17545187175091875, score=0.709563 -   1.3s
[CV] c1=0.18088288982991957, c2=0.008409636317930838 .................
[CV]  c1=0.18088288982991957, c2=0.008409636317930838, score=0.745142 -   1.0s
[CV] c1=0.1385156338899242, c2=0.03246288845000155 ...................
[CV]  c1=0.1385156338899242, c2=0.03246288845000155, score=0.855454 -   1.4s
[CV] c1=0.929845309572221, c2=0.21917572706365093 ....................
[CV]  c1=0.929845309572221, c2=0.21917572706365093, score=0.748922 -   1.4s
[CV] c1=0.38956488748402857, c2=0.17880238725587463 ..................
[CV]  c1=0.38956488748402857, c2=0.17880238725587463, score=0.763066 -   1.5s
[CV] c1=0.04747361023195874, c2=0.003618008982151274 .................
[CV]  c1=0.04747361023195874, c2=0.003618008982151274, score=0.810581 -   1.5s
[CV] c1=0.5479824901824164, c2=0.07247375681092648 ...................
[CV]  c1=0.5479824901824164, c2=0.07247375681092648, score=0.790044 -   1.5s
[CV] c1=0.16192028414295992, c2=0.007696747185708854 .................
[CV]  c1=0.16192028414295992, c2=0.007696747185708854, score=0.800049 -   1.4s
[CV] c1=0.5036893632653732, c2=0.12391426705098425 ...................
[CV]  c1=0.5036893632653732, c2=0.12391426705098425, score=0.795734 -   1.4s
[CV] c1=0.6466060795621059, c2=0.011383189865363012 ..................
[CV]  c1=0.6466060795621059, c2=0.011383189865363012, score=0.823650 -   1.3s
[CV] c1=0.3079417773652378, c2=0.06016846121563046 ...................
[CV]  c1=0.3079417773652378, c2=0.06016846121563046, score=0.734313 -   1.2s
[CV] c1=0.6666195876660076, c2=0.05485139375314718 ...................
[CV]  c1=0.6666195876660076, c2=0.05485139375314718, score=0.712854 -   1.4s
[CV] c1=0.18796383325765884, c2=0.007667617327864973 .................
[CV]  c1=0.18796383325765884, c2=0.007667617327864973, score=0.838416 -   1.5s
[CV] c1=0.7637932829092696, c2=0.04769759543977658 ...................
[CV]  c1=0.7637932829092696, c2=0.04769759543977658, score=0.679626 -   1.0s
[CV] c1=0.29659643984608336, c2=0.030873376308591362 .................
[CV]  c1=0.29659643984608336, c2=0.030873376308591362, score=0.727019 -   1.0s
[CV] c1=0.7277205586074456, c2=0.04959984338595814 ...................
[CV]  c1=0.7277205586074456, c2=0.04959984338595814, score=0.882517 -   1.4s
[CV] c1=0.04439038150763953, c2=0.11397027146266608 ..................
[CV]  c1=0.04439038150763953, c2=0.11397027146266608, score=0.757816 -   1.2s
[CV] c1=0.38956488748402857, c2=0.17880238725587463 ..................
[CV]  c1=0.38956488748402857, c2=0.17880238725587463, score=0.716952 -   1.1s
[CV] c1=0.9401584024675326, c2=0.010206132966094081 ..................
[CV]  c1=0.9401584024675326, c2=0.010206132966094081, score=0.685479 -   1.3s
[CV] c1=0.09901274716452911, c2=0.03818083910315459 ..................
[CV]  c1=0.09901274716452911, c2=0.03818083910315459, score=0.846845 -   1.4s
[CV] c1=0.8013211058486037, c2=0.004377746789652917 ..................
[CV]  c1=0.8013211058486037, c2=0.004377746789652917, score=0.799545 -   1.5s
[CV] c1=0.7956063325385256, c2=0.004982176936436994 ..................
[CV]  c1=0.7956063325385256, c2=0.004982176936436994, score=0.686380 -   1.5s
[CV] c1=0.011853256029923926, c2=0.017164839272991138 ................
[CV]  c1=0.011853256029923926, c2=0.017164839272991138, score=0.848447 -   1.5s
[CV] c1=0.4714317037987494, c2=0.05665029320968169 ...................
[CV]  c1=0.4714317037987494, c2=0.05665029320968169, score=0.830848 -   1.3s
[CV] c1=0.4836474837787922, c2=0.07649192420247769 ...................
[CV]  c1=0.4836474837787922, c2=0.07649192420247769, score=0.883730 -   1.5s
[CV] c1=0.11193375823449048, c2=0.008123665062067261 .................
[CV]  c1=0.11193375823449048, c2=0.008123665062067261, score=0.834273 -   1.4s
[CV] c1=0.39285400547255067, c2=0.013617456905868726 .................
[CV]  c1=0.39285400547255067, c2=0.013617456905868726, score=0.855127 -   1.1s
[CV] c1=0.29659643984608336, c2=0.030873376308591362 .................
[CV]  c1=0.29659643984608336, c2=0.030873376308591362, score=0.799729 -   1.4s
[CV] c1=0.03663592954248749, c2=0.003937596639752631 .................
[CV]  c1=0.03663592954248749, c2=0.003937596639752631, score=0.798327 -   1.1s
[CV] c1=0.1776584685582416, c2=0.014779642333536855 ..................
[CV]  c1=0.1776584685582416, c2=0.014779642333536855, score=0.901717 -   1.4s
[CV] c1=0.6007134825124084, c2=0.006645585815497035 ..................
[CV]  c1=0.6007134825124084, c2=0.006645585815497035, score=0.880103 -   1.5s
[CV] c1=0.41998355731284587, c2=0.005399891005185992 .................
[CV]  c1=0.41998355731284587, c2=0.005399891005185992, score=0.737424 -   1.2s
[CV] c1=0.5479824901824164, c2=0.07247375681092648 ...................
[CV]  c1=0.5479824901824164, c2=0.07247375681092648, score=0.796972 -   1.4s
[CV] c1=0.16892182144839007, c2=0.016041820568201776 .................
[CV]  c1=0.16892182144839007, c2=0.016041820568201776, score=0.808110 -   1.3s
[CV] c1=0.33251168989003926, c2=0.037037408031903855 .................
[CV]  c1=0.33251168989003926, c2=0.037037408031903855, score=0.793435 -   1.5s
[CV] c1=0.23051598528340558, c2=0.004568320268266517 .................
[CV]  c1=0.23051598528340558, c2=0.004568320268266517, score=0.851626 -   1.4s
[CV] c1=0.06656801789141967, c2=0.10331508672489215 ..................
[CV]  c1=0.06656801789141967, c2=0.10331508672489215, score=0.844067 -   1.3s
[CV] c1=0.6666195876660076, c2=0.05485139375314718 ...................
[CV]  c1=0.6666195876660076, c2=0.05485139375314718, score=0.805619 -   1.2s
[CV] c1=0.11193375823449048, c2=0.008123665062067261 .................
[CV]  c1=0.11193375823449048, c2=0.008123665062067261, score=0.826933 -   1.4s
[CV] c1=0.5079976087385729, c2=0.17545187175091875 ...................
[CV]  c1=0.5079976087385729, c2=0.17545187175091875, score=0.796010 -   1.3s
[CV] c1=0.44818388044912943, c2=0.027047365736524828 .................
[CV]  c1=0.44818388044912943, c2=0.027047365736524828, score=0.900325 -   1.2s
[CV] c1=0.1385156338899242, c2=0.03246288845000155 ...................
[CV]  c1=0.1385156338899242, c2=0.03246288845000155, score=0.814910 -   1.5s
[CV] c1=0.04439038150763953, c2=0.11397027146266608 ..................
[CV]  c1=0.04439038150763953, c2=0.11397027146266608, score=0.821259 -   1.4s
[CV] c1=0.008129500624285921, c2=0.11188431956917727 .................
[CV]  c1=0.008129500624285921, c2=0.11188431956917727, score=0.849381 -   1.4s
[CV] c1=0.41998355731284587, c2=0.005399891005185992 .................
[CV]  c1=0.41998355731284587, c2=0.005399891005185992, score=0.901989 -   1.5s
[CV] c1=4.182509080227132, c2=0.1499666601696524 .....................
[CV]  c1=4.182509080227132, c2=0.1499666601696524, score=0.384494 -   1.4s
[CV] c1=0.44212857163076136, c2=0.002116275995881549 .................
[CV]  c1=0.44212857163076136, c2=0.002116275995881549, score=0.741756 -   1.1s
[CV] c1=0.5036893632653732, c2=0.12391426705098425 ...................
[CV]  c1=0.5036893632653732, c2=0.12391426705098425, score=0.875804 -   1.5s
[CV] c1=0.6466060795621059, c2=0.011383189865363012 ..................
[CV]  c1=0.6466060795621059, c2=0.011383189865363012, score=0.715593 -   1.5s
[CV] c1=0.16677637702548898, c2=0.0006563812517942055 ................
[CV]  c1=0.16677637702548898, c2=0.0006563812517942055, score=0.739438 -   1.2s
[CV] c1=0.5634249314039346, c2=0.15464995431108997 ...................
[CV]  c1=0.5634249314039346, c2=0.15464995431108997, score=0.684117 -   1.2s
[CV] c1=0.18796383325765884, c2=0.007667617327864973 .................
[CV]  c1=0.18796383325765884, c2=0.007667617327864973, score=0.857757 -   1.4s
[CV] c1=0.39285400547255067, c2=0.013617456905868726 .................
[CV]  c1=0.39285400547255067, c2=0.013617456905868726, score=0.793128 -   1.2s
[CV] c1=0.2643401289154087, c2=0.010495204450841697 ..................
[CV]  c1=0.2643401289154087, c2=0.010495204450841697, score=0.848003 -   1.4s
[CV] c1=0.018200792997082906, c2=0.02307578431271634 .................
[CV]  c1=0.018200792997082906, c2=0.02307578431271634, score=0.783831 -   1.1s
[CV] c1=0.1776584685582416, c2=0.014779642333536855 ..................
[CV]  c1=0.1776584685582416, c2=0.014779642333536855, score=0.834273 -   1.5s
[CV] c1=0.4068650143134595, c2=0.0999197519923531 ....................
[CV]  c1=0.4068650143134595, c2=0.0999197519923531, score=0.740828 -   1.4s
[CV] c1=0.8982296620485387, c2=0.03246036521709954 ...................
[CV]  c1=0.8982296620485387, c2=0.03246036521709954, score=0.799765 -   1.4s
[CV] c1=0.23852276882197815, c2=0.076698341840843 ....................
[CV]  c1=0.23852276882197815, c2=0.076698341840843, score=0.837747 -   1.5s
[CV] c1=0.04487564717276167, c2=0.13509348603889246 ..................
[CV]  c1=0.04487564717276167, c2=0.13509348603889246, score=0.780809 -   1.4s
[CV] c1=0.40347966806370245, c2=0.0710991251356767 ...................
[CV]  c1=0.40347966806370245, c2=0.0710991251356767, score=0.798138 -   1.4s
[CV] c1=0.28416773404953577, c2=0.17729936488546041 ..................
[CV]  c1=0.28416773404953577, c2=0.17729936488546041, score=0.734455 -   1.2s
[CV] c1=0.10440740832112456, c2=0.005491184360037947 .................
[CV]  c1=0.10440740832112456, c2=0.005491184360037947, score=0.731488 -   1.1s
[CV] c1=0.5634249314039346, c2=0.15464995431108997 ...................
[CV]  c1=0.5634249314039346, c2=0.15464995431108997, score=0.796262 -   1.5s
[CV] c1=0.6772076928110674, c2=0.05607578026258279 ...................
[CV]  c1=0.6772076928110674, c2=0.05607578026258279, score=0.684908 -   1.1s
[CV] c1=0.7637932829092696, c2=0.04769759543977658 ...................
[CV]  c1=0.7637932829092696, c2=0.04769759543977658, score=0.682134 -   1.1s
[CV] c1=0.29659643984608336, c2=0.030873376308591362 .................
[CV]  c1=0.29659643984608336, c2=0.030873376308591362, score=0.843252 -   1.3s
[CV] c1=0.03663592954248749, c2=0.003937596639752631 .................
[CV]  c1=0.03663592954248749, c2=0.003937596639752631, score=0.865170 -   1.4s
[CV] c1=0.02823994728360004, c2=0.003042874695186179 .................
[CV]  c1=0.02823994728360004, c2=0.003042874695186179, score=0.878570 -   1.4s
[CV] c1=0.4068650143134595, c2=0.0999197519923531 ....................
[CV]  c1=0.4068650143134595, c2=0.0999197519923531, score=0.739445 -   1.1s
[CV] c1=0.04747361023195874, c2=0.003618008982151274 .................
[CV]  c1=0.04747361023195874, c2=0.003618008982151274, score=0.863807 -   1.3s
[CV] c1=0.5479824901824164, c2=0.07247375681092648 ...................
[CV]  c1=0.5479824901824164, c2=0.07247375681092648, score=0.737071 -   1.2s
[CV] c1=0.8623563108273266, c2=0.01332681498068848 ...................
[CV]  c1=0.8623563108273266, c2=0.01332681498068848, score=0.682134 -   1.5s
[CV] c1=0.3895834335684855, c2=0.002274214061860826 ..................
[CV]  c1=0.3895834335684855, c2=0.002274214061860826, score=0.829739 -   1.6s
[CV] c1=0.23051598528340558, c2=0.004568320268266517 .................
[CV]  c1=0.23051598528340558, c2=0.004568320268266517, score=0.797118 -   1.4s
[CV] c1=0.06656801789141967, c2=0.10331508672489215 ..................
[CV]  c1=0.06656801789141967, c2=0.10331508672489215, score=0.852662 -   1.6s
[CV] c1=0.5634249314039346, c2=0.15464995431108997 ...................
[CV]  c1=0.5634249314039346, c2=0.15464995431108997, score=0.795994 -   1.4s
[CV] c1=0.053498030783385546, c2=0.0813208792994737 ..................
[CV]  c1=0.053498030783385546, c2=0.0813208792994737, score=0.849381 -   1.4s
[CV] c1=0.7637932829092696, c2=0.04769759543977658 ...................
[CV]  c1=0.7637932829092696, c2=0.04769759543977658, score=0.805619 -   1.0s
[CV] c1=0.2643401289154087, c2=0.010495204450841697 ..................
[CV]  c1=0.2643401289154087, c2=0.010495204450841697, score=0.848142 -   1.4s
[CV] c1=0.03663592954248749, c2=0.003937596639752631 .................
[CV]  c1=0.03663592954248749, c2=0.003937596639752631, score=0.850052 -   1.3s
[CV] c1=0.02823994728360004, c2=0.003042874695186179 .................
[CV]  c1=0.02823994728360004, c2=0.003042874695186179, score=0.850653 -   1.4s
[CV] c1=0.4068650143134595, c2=0.0999197519923531 ....................
[CV]  c1=0.4068650143134595, c2=0.0999197519923531, score=0.792761 -   1.4s
[CV] c1=0.7944166043266108, c2=0.02302818283857333 ...................
[CV]  c1=0.7944166043266108, c2=0.02302818283857333, score=0.697216 -   1.1s
[CV] c1=4.182509080227132, c2=0.1499666601696524 .....................
[CV]  c1=4.182509080227132, c2=0.1499666601696524, score=0.552867 -   1.4s
[CV] c1=0.16192028414295992, c2=0.007696747185708854 .................
[CV]  c1=0.16192028414295992, c2=0.007696747185708854, score=0.852089 -   1.3s
[CV] c1=0.5036893632653732, c2=0.12391426705098425 ...................
[CV]  c1=0.5036893632653732, c2=0.12391426705098425, score=0.722434 -   1.2s
[CV] c1=0.23051598528340558, c2=0.004568320268266517 .................
[CV]  c1=0.23051598528340558, c2=0.004568320268266517, score=0.891905 -   1.3s
[CV] c1=0.06656801789141967, c2=0.10331508672489215 ..................
[CV]  c1=0.06656801789141967, c2=0.10331508672489215, score=0.882868 -   1.4s
[CV] c1=0.6666195876660076, c2=0.05485139375314718 ...................
[CV]  c1=0.6666195876660076, c2=0.05485139375314718, score=0.882517 -   1.4s
[CV] c1=0.18796383325765884, c2=0.007667617327864973 .................
[CV]  c1=0.18796383325765884, c2=0.007667617327864973, score=0.785567 -   1.5s
[CV] c1=0.7637932829092696, c2=0.04769759543977658 ...................
[CV]  c1=0.7637932829092696, c2=0.04769759543977658, score=0.877829 -   1.2s
[CV] c1=0.29659643984608336, c2=0.030873376308591362 .................
[CV]  c1=0.29659643984608336, c2=0.030873376308591362, score=0.912049 -   1.3s
[CV] c1=0.43179755185493285, c2=0.019417821459249467 .................
[CV]  c1=0.43179755185493285, c2=0.019417821459249467, score=0.851969 -   1.4s
[CV] c1=0.1776584685582416, c2=0.014779642333536855 ..................
[CV]  c1=0.1776584685582416, c2=0.014779642333536855, score=0.855454 -   1.4s
[CV] c1=0.6007134825124084, c2=0.006645585815497035 ..................
[CV]  c1=0.6007134825124084, c2=0.006645585815497035, score=0.723074 -   1.4s
[CV] c1=0.41998355731284587, c2=0.005399891005185992 .................
[CV]  c1=0.41998355731284587, c2=0.005399891005185992, score=0.848601 -   1.4s
[CV] c1=4.182509080227132, c2=0.1499666601696524 .....................
[CV]  c1=4.182509080227132, c2=0.1499666601696524, score=0.447502 -   1.4s
[CV] c1=0.16192028414295992, c2=0.007696747185708854 .................
[CV]  c1=0.16192028414295992, c2=0.007696747185708854, score=0.834273 -   1.5s
[CV] c1=1.2809567513391413, c2=0.013905016556523944 ..................
[CV]  c1=1.2809567513391413, c2=0.013905016556523944, score=0.641940 -   1.1s
[CV] c1=0.6466060795621059, c2=0.011383189865363012 ..................
[CV]  c1=0.6466060795621059, c2=0.011383189865363012, score=0.884309 -   1.5s
[CV] c1=0.3079417773652378, c2=0.06016846121563046 ...................
[CV]  c1=0.3079417773652378, c2=0.06016846121563046, score=0.782385 -   1.6s
[CV] c1=0.325384481199424, c2=0.0023061500489121515 ..................
[CV]  c1=0.325384481199424, c2=0.0023061500489121515, score=0.855363 -   1.4s
[CV] c1=0.6772076928110674, c2=0.05607578026258279 ...................
[CV]  c1=0.6772076928110674, c2=0.05607578026258279, score=0.805619 -   1.3s
[CV] c1=0.40820079191790265, c2=0.0023481411237776216 ................
[CV]  c1=0.40820079191790265, c2=0.0023481411237776216, score=0.741756 -   0.9s
[CV] c1=0.8714686812127372, c2=0.04495135899411991 ...................
[CV]  c1=0.8714686812127372, c2=0.04495135899411991, score=0.755416 -   1.4s
[CV] c1=0.22478363765268647, c2=0.03667151608679067 ..................
[CV]  c1=0.22478363765268647, c2=0.03667151608679067, score=0.843252 -   1.4s
[CV] c1=0.38956488748402857, c2=0.17880238725587463 ..................
[CV]  c1=0.38956488748402857, c2=0.17880238725587463, score=0.875804 -   1.4s
[CV] c1=0.2673707286360951, c2=0.06016162707458758 ...................
[CV]  c1=0.2673707286360951, c2=0.06016162707458758, score=0.796026 -   1.5s
[CV] c1=0.252485481576018, c2=0.003304712584512138 ...................
[CV]  c1=0.252485481576018, c2=0.003304712584512138, score=0.848142 -   1.4s
[CV] c1=0.8623563108273266, c2=0.01332681498068848 ...................
[CV]  c1=0.8623563108273266, c2=0.01332681498068848, score=0.806461 -   1.2s
[CV] c1=0.7956063325385256, c2=0.004982176936436994 ..................
[CV]  c1=0.7956063325385256, c2=0.004982176936436994, score=0.832204 -   1.5s
[CV] c1=0.054857945135077954, c2=0.0489459823621155 ..................
[CV]  c1=0.054857945135077954, c2=0.0489459823621155, score=0.892838 -   1.3s
[CV] c1=0.4714317037987494, c2=0.05665029320968169 ...................
[CV]  c1=0.4714317037987494, c2=0.05665029320968169, score=0.893742 -   1.5s
[CV] c1=0.4836474837787922, c2=0.07649192420247769 ...................
[CV]  c1=0.4836474837787922, c2=0.07649192420247769, score=0.792761 -   1.4s
[CV] c1=0.18796383325765884, c2=0.007667617327864973 .................
[CV]  c1=0.18796383325765884, c2=0.007667617327864973, score=0.901717 -   1.4s
[CV] c1=0.39285400547255067, c2=0.013617456905868726 .................
[CV]  c1=0.39285400547255067, c2=0.013617456905868726, score=0.899813 -   1.4s
[CV] c1=0.2643401289154087, c2=0.010495204450841697 ..................
[CV]  c1=0.2643401289154087, c2=0.010495204450841697, score=0.742785 -   1.2s
[CV] c1=0.43179755185493285, c2=0.019417821459249467 .................
[CV]  c1=0.43179755185493285, c2=0.019417821459249467, score=0.726481 -   1.2s
[CV] c1=0.04439038150763953, c2=0.11397027146266608 ..................
[CV]  c1=0.04439038150763953, c2=0.11397027146266608, score=0.870376 -   1.4s
[CV] c1=0.008129500624285921, c2=0.11188431956917727 .................
[CV]  c1=0.008129500624285921, c2=0.11188431956917727, score=0.777292 -   1.1s
[CV] c1=0.2673707286360951, c2=0.06016162707458758 ...................
[CV]  c1=0.2673707286360951, c2=0.06016162707458758, score=0.737382 -   1.2s
[CV] c1=0.09901274716452911, c2=0.03818083910315459 ..................
[CV]  c1=0.09901274716452911, c2=0.03818083910315459, score=0.866884 -   1.5s
[CV] c1=0.16785947338286034, c2=0.02948769800004149 ..................
[CV]  c1=0.16785947338286034, c2=0.02948769800004149, score=0.808350 -   1.5s
[CV] c1=0.3895834335684855, c2=0.002274214061860826 ..................
[CV]  c1=0.3895834335684855, c2=0.002274214061860826, score=0.787449 -   1.4s
[CV] c1=0.054857945135077954, c2=0.0489459823621155 ..................
[CV]  c1=0.054857945135077954, c2=0.0489459823621155, score=0.825345 -   1.5s
[CV] c1=0.06656801789141967, c2=0.10331508672489215 ..................
[CV]  c1=0.06656801789141967, c2=0.10331508672489215, score=0.797404 -   1.4s
[CV] c1=0.6666195876660076, c2=0.05485139375314718 ...................
[CV]  c1=0.6666195876660076, c2=0.05485139375314718, score=0.822112 -   1.5s
[CV] c1=0.053498030783385546, c2=0.0813208792994737 ..................
[CV]  c1=0.053498030783385546, c2=0.0813208792994737, score=0.880253 -   1.3s
[CV] c1=0.39285400547255067, c2=0.013617456905868726 .................
[CV]  c1=0.39285400547255067, c2=0.013617456905868726, score=0.802023 -   1.3s
[CV] c1=0.5964714975227963, c2=0.10732814589935405 ...................
[CV]  c1=0.5964714975227963, c2=0.10732814589935405, score=0.816716 -   1.4s
[CV] c1=0.7624034717817811, c2=0.0023004770931360614 .................
[CV]  c1=0.7624034717817811, c2=0.0023004770931360614, score=0.805619 -   1.3s
[CV] c1=0.12616768560221348, c2=0.006035835355863926 .................
[CV]  c1=0.12616768560221348, c2=0.006035835355863926, score=0.806003 -   1.4s
[CV] c1=0.37624220780182926, c2=0.07436254215113361 ..................
[CV]  c1=0.37624220780182926, c2=0.07436254215113361, score=0.895436 -   1.4s
[CV] c1=0.09901274716452911, c2=0.03818083910315459 ..................
[CV]  c1=0.09901274716452911, c2=0.03818083910315459, score=0.785581 -   1.2s
[CV] c1=0.5315916987068772, c2=0.02662289029762628 ...................
[CV]  c1=0.5315916987068772, c2=0.02662289029762628, score=0.744522 -   1.4s
[CV] c1=0.17556428986402425, c2=0.01887733101473795 ..................
[CV]  c1=0.17556428986402425, c2=0.01887733101473795, score=0.903704 -   1.4s
[CV] c1=0.5974068820810495, c2=0.03674096306145378 ...................
[CV]  c1=0.5974068820810495, c2=0.03674096306145378, score=0.736159 -   1.2s
[CV] c1=0.28416773404953577, c2=0.17729936488546041 ..................
[CV]  c1=0.28416773404953577, c2=0.17729936488546041, score=0.873246 -   1.4s
[CV] c1=0.20628677567879058, c2=0.013943621869153988 .................
[CV]  c1=0.20628677567879058, c2=0.013943621869153988, score=0.747887 -   1.2s
[CV] c1=0.8534274874203822, c2=0.10555277929518417 ...................
[CV]  c1=0.8534274874203822, c2=0.10555277929518417, score=0.869395 -   1.4s
[CV] c1=2.3140532656719497, c2=0.0822278029640433 ....................
[CV]  c1=2.3140532656719497, c2=0.0822278029640433, score=0.562367 -   1.1s
[CV] c1=0.40820079191790265, c2=0.0023481411237776216 ................
[CV]  c1=0.40820079191790265, c2=0.0023481411237776216, score=0.899813 -   1.0s
[CV] c1=0.2417090452840031, c2=0.011189022485349137 ..................
[CV]  c1=0.2417090452840031, c2=0.011189022485349137, score=0.748575 -   1.2s
[CV] c1=0.018200792997082906, c2=0.02307578431271634 .................
[CV]  c1=0.018200792997082906, c2=0.02307578431271634, score=0.852159 -   1.3s
[CV] c1=0.9764187856442599, c2=0.06853250968175255 ...................
[CV]  c1=0.9764187856442599, c2=0.06853250968175255, score=0.645050 -   1.1s
[CV] c1=0.4068650143134595, c2=0.0999197519923531 ....................
[CV]  c1=0.4068650143134595, c2=0.0999197519923531, score=0.891666 -   1.4s
[CV] c1=0.8982296620485387, c2=0.03246036521709954 ...................
[CV]  c1=0.8982296620485387, c2=0.03246036521709954, score=0.656268 -   1.1s
[CV] c1=4.182509080227132, c2=0.1499666601696524 .....................
[CV]  c1=4.182509080227132, c2=0.1499666601696524, score=0.573219 -   1.4s
[CV] c1=0.16192028414295992, c2=0.007696747185708854 .................
[CV]  c1=0.16192028414295992, c2=0.007696747185708854, score=0.901717 -   1.5s
[CV] c1=0.5036893632653732, c2=0.12391426705098425 ...................
[CV]  c1=0.5036893632653732, c2=0.12391426705098425, score=0.790044 -   1.5s
[CV] c1=0.11727683793998973, c2=0.04097453038134133 ..................
[CV]  c1=0.11727683793998973, c2=0.04097453038134133, score=0.734133 -   1.1s
[CV] c1=0.3079417773652378, c2=0.06016846121563046 ...................
[CV]  c1=0.3079417773652378, c2=0.06016846121563046, score=0.901989 -   1.5s
[CV] c1=0.5634249314039346, c2=0.15464995431108997 ...................
[CV]  c1=0.5634249314039346, c2=0.15464995431108997, score=0.712854 -   1.4s
[CV] c1=0.053498030783385546, c2=0.0813208792994737 ..................
[CV]  c1=0.053498030783385546, c2=0.0813208792994737, score=0.798698 -   1.5s
[CV] c1=0.7637932829092696, c2=0.04769759543977658 ...................
[CV]  c1=0.7637932829092696, c2=0.04769759543977658, score=0.813441 -   1.1s
[CV] c1=0.5964714975227963, c2=0.10732814589935405 ...................
[CV]  c1=0.5964714975227963, c2=0.10732814589935405, score=0.676281 -   1.2s
[CV] c1=0.03663592954248749, c2=0.003937596639752631 .................
[CV]  c1=0.03663592954248749, c2=0.003937596639752631, score=0.869815 -   1.5s
[CV] c1=0.9764187856442599, c2=0.06853250968175255 ...................
[CV]  c1=0.9764187856442599, c2=0.06853250968175255, score=0.670789 -   1.4s
[CV] c1=0.41540411352816564, c2=0.07514404404178147 ..................
[CV]  c1=0.41540411352816564, c2=0.07514404404178147, score=0.891149 -   1.5s
[CV] c1=0.19532963556250707, c2=0.11583017844322732 ..................
[CV]  c1=0.19532963556250707, c2=0.11583017844322732, score=0.857185 -   1.3s
[CV] c1=0.5315916987068772, c2=0.02662289029762628 ...................
[CV]  c1=0.5315916987068772, c2=0.02662289029762628, score=0.897259 -   1.4s
[CV] c1=0.043997298769209214, c2=0.03261877487057551 .................
[CV]  c1=0.043997298769209214, c2=0.03261877487057551, score=0.818706 -   1.4s
[CV] c1=0.5607946730443474, c2=0.07249070836189897 ...................
[CV]  c1=0.5607946730443474, c2=0.07249070836189897, score=0.717024 -   1.4s
[CV] c1=0.28416773404953577, c2=0.17729936488546041 ..................
[CV]  c1=0.28416773404953577, c2=0.17729936488546041, score=0.815458 -   1.3s
[CV] c1=0.20628677567879058, c2=0.013943621869153988 .................
[CV]  c1=0.20628677567879058, c2=0.013943621869153988, score=0.845839 -   1.3s
[CV] c1=0.8534274874203822, c2=0.10555277929518417 ...................
[CV]  c1=0.8534274874203822, c2=0.10555277929518417, score=0.694961 -   1.4s
[CV] c1=0.2878693389600323, c2=0.006087643288272037 ..................
[CV]  c1=0.2878693389600323, c2=0.006087643288272037, score=0.743863 -   1.1s
[CV] c1=0.40820079191790265, c2=0.0023481411237776216 ................
[CV]  c1=0.40820079191790265, c2=0.0023481411237776216, score=0.860520 -   1.0s
[CV] c1=0.2643401289154087, c2=0.010495204450841697 ..................
[CV]  c1=0.2643401289154087, c2=0.010495204450841697, score=0.912049 -   1.2s
[CV] c1=0.43179755185493285, c2=0.019417821459249467 .................
[CV]  c1=0.43179755185493285, c2=0.019417821459249467, score=0.776554 -   1.5s
[CV] c1=0.02823994728360004, c2=0.003042874695186179 .................
[CV]  c1=0.02823994728360004, c2=0.003042874695186179, score=0.821063 -   1.4s
[CV] c1=0.4068650143134595, c2=0.0999197519923531 ....................
[CV]  c1=0.4068650143134595, c2=0.0999197519923531, score=0.839477 -   1.4s
[CV] c1=0.7944166043266108, c2=0.02302818283857333 ...................
[CV]  c1=0.7944166043266108, c2=0.02302818283857333, score=0.879223 -   1.4s
[CV] c1=0.11562109326230584, c2=0.04185227083815915 ..................
[CV]  c1=0.11562109326230584, c2=0.04185227083815915, score=0.747984 -   1.1s
[CV] c1=0.44212857163076136, c2=0.002116275995881549 .................
[CV]  c1=0.44212857163076136, c2=0.002116275995881549, score=0.899813 -   1.5s
[CV] c1=1.2809567513391413, c2=0.013905016556523944 ..................
[CV]  c1=1.2809567513391413, c2=0.013905016556523944, score=0.777531 -   1.4s
[CV] c1=0.11727683793998973, c2=0.04097453038134133 ..................
[CV]  c1=0.11727683793998973, c2=0.04097453038134133, score=0.808350 -   1.5s
[CV] c1=0.10440740832112456, c2=0.005491184360037947 .................
[CV]  c1=0.10440740832112456, c2=0.005491184360037947, score=0.901717 -   1.4s
[CV] c1=0.8534274874203822, c2=0.10555277929518417 ...................
[CV]  c1=0.8534274874203822, c2=0.10555277929518417, score=0.666486 -   1.1s
[CV] c1=0.053498030783385546, c2=0.0813208792994737 ..................
[CV]  c1=0.053498030783385546, c2=0.0813208792994737, score=0.814338 -   1.6s
[CV] c1=0.40820079191790265, c2=0.0023481411237776216 ................
[CV]  c1=0.40820079191790265, c2=0.0023481411237776216, score=0.803854 -   1.0s
Training done in: 19.785448s
     Saving training model...
        Saving training model done in: 0.013253s
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Prediction done in: 0.032341s