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

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Run6_v10.txt 72.8 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: 10
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: 0.003746s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0        1
0       lemma        :
1      postag        :
2    -1:lemma       in
3   -1:postag       IN
4    +1:lemma       m9
5   +1:postag       NN
6      hUpper    False
7      hLower    False
8      hGreek    False
9        symb    False
10   word[:1]        :
11   -2:lemma  culture
12  -2:postag      VBN
13   +2:lemma  minimal
14  +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10   word[:1]           d
11   word[:2]          de
12   -2:lemma     affyexp
13  -2:postag          JJ
14   +2:lemma     glucose
15  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.08474470875327882, c2=0.030408971224536216 .................
[CV]  c1=0.08474470875327882, c2=0.030408971224536216, score=0.901717 -   1.4s
[CV] c1=0.640542126125638, c2=0.031121991960973164 ...................
[CV]  c1=0.640542126125638, c2=0.031121991960973164, score=0.880076 -   1.4s
[CV] c1=0.03429630205406427, c2=0.014732465714199708 .................
[CV]  c1=0.03429630205406427, c2=0.014732465714199708, score=0.901717 -   1.4s
[CV] c1=0.19353877295793048, c2=0.023358415352363868 .................
[CV]  c1=0.19353877295793048, c2=0.023358415352363868, score=0.802041 -   1.5s
[CV] c1=0.9743388164012751, c2=0.029109307177325863 ..................
[CV]  c1=0.9743388164012751, c2=0.029109307177325863, score=0.650664 -   1.1s
[CV] c1=0.2480933915345742, c2=0.01247947968282686 ...................
[CV]  c1=0.2480933915345742, c2=0.01247947968282686, score=0.842499 -   1.4s
[CV] c1=0.10794179389083458, c2=0.11403940366403519 ..................
[CV]  c1=0.10794179389083458, c2=0.11403940366403519, score=0.786747 -   1.1s
[CV] c1=0.12189112743701508, c2=0.0019963391105565424 ................
[CV]  c1=0.12189112743701508, c2=0.0019963391105565424, score=0.852089 -   1.3s
[CV] c1=0.11204837824083991, c2=0.03824320005309311 ..................
[CV]  c1=0.11204837824083991, c2=0.03824320005309311, score=0.851805 -   1.3s
[CV] c1=0.0333948746496322, c2=0.052038112280835214 ..................
[CV]  c1=0.0333948746496322, c2=0.052038112280835214, score=0.849381 -   1.4s
[CV] c1=1.5210075359456365, c2=0.04623910479922095 ...................
[CV]  c1=1.5210075359456365, c2=0.04623910479922095, score=0.616610 -   1.4s
[CV] c1=0.43509226774492976, c2=0.06954576437682423 ..................
[CV]  c1=0.43509226774492976, c2=0.06954576437682423, score=0.893742 -   1.4s
[CV] c1=0.3103322970153329, c2=0.01707594200577305 ...................
[CV]  c1=0.3103322970153329, c2=0.01707594200577305, score=0.811184 -   1.4s
[CV] c1=1.397541473925966, c2=0.02251432817473698 ....................
[CV]  c1=1.397541473925966, c2=0.02251432817473698, score=0.872624 -   1.3s
[CV] c1=0.520291624781776, c2=0.03623493671300014 ....................
[CV]  c1=0.520291624781776, c2=0.03623493671300014, score=0.816158 -   1.4s
[CV] c1=0.12463342947858823, c2=0.07529487340608118 ..................
[CV]  c1=0.12463342947858823, c2=0.07529487340608118, score=0.777751 -   1.1s
[CV] c1=0.9743388164012751, c2=0.029109307177325863 ..................
[CV]  c1=0.9743388164012751, c2=0.029109307177325863, score=0.715181 -   1.5s
[CV] c1=0.06926773671042119, c2=0.07360165014668839 ..................
[CV]  c1=0.06926773671042119, c2=0.07360165014668839, score=0.784868 -   1.2s
[CV] c1=0.4690806791898596, c2=0.1257417766543677 ....................
[CV]  c1=0.4690806791898596, c2=0.1257417766543677, score=0.875804 -   1.4s
[CV] c1=0.5500071405748446, c2=0.04788620706464213 ...................
[CV]  c1=0.5500071405748446, c2=0.04788620706464213, score=0.736159 -   1.1s
[CV] c1=0.5880662009096902, c2=0.06375880046194332 ...................
[CV]  c1=0.5880662009096902, c2=0.06375880046194332, score=0.712854 -   1.4s
[CV] c1=1.8557358021636225, c2=0.06295572249500037 ...................
[CV]  c1=1.8557358021636225, c2=0.06295572249500037, score=0.728920 -   1.4s
[CV] c1=0.10905473489880872, c2=0.087110467857846 ....................
[CV]  c1=0.10905473489880872, c2=0.087110467857846, score=0.856248 -   1.5s
[CV] c1=0.7491995985953152, c2=0.03183400933966574 ...................
[CV]  c1=0.7491995985953152, c2=0.03183400933966574, score=0.714072 -   1.1s
[CV] c1=0.9239175547371826, c2=0.04031603322344472 ...................
[CV]  c1=0.9239175547371826, c2=0.04031603322344472, score=0.718550 -   1.0s
[CV] c1=0.7115671037084563, c2=0.03708034152413422 ...................
[CV]  c1=0.7115671037084563, c2=0.03708034152413422, score=0.701586 -   1.4s
[CV] c1=1.397541473925966, c2=0.02251432817473698 ....................
[CV]  c1=1.397541473925966, c2=0.02251432817473698, score=0.699308 -   1.5s
[CV] c1=0.47126652162463134, c2=0.05933162733570302 ..................
[CV]  c1=0.47126652162463134, c2=0.05933162733570302, score=0.756997 -   1.5s
[CV] c1=0.1494721117010836, c2=0.2771740912743309 ....................
[CV]  c1=0.1494721117010836, c2=0.2771740912743309, score=0.877217 -   1.4s
[CV] c1=0.4638720999424967, c2=0.004263127131015308 ..................
[CV]  c1=0.4638720999424967, c2=0.004263127131015308, score=0.904199 -   1.5s
[CV] c1=1.7987015183012143, c2=0.04332835625671804 ...................
[CV]  c1=1.7987015183012143, c2=0.04332835625671804, score=0.557062 -   1.5s
[CV] c1=0.12189112743701508, c2=0.0019963391105565424 ................
[CV]  c1=0.12189112743701508, c2=0.0019963391105565424, score=0.875117 -   1.6s
[CV] c1=0.13095381999117567, c2=0.008099182505839785 .................
[CV]  c1=0.13095381999117567, c2=0.008099182505839785, score=0.901717 -   1.4s
[CV] c1=0.37760047609658365, c2=0.00017258683612382845 ...............
[CV]  c1=0.37760047609658365, c2=0.00017258683612382845, score=0.746040 -   1.1s
[CV] c1=1.5210075359456365, c2=0.04623910479922095 ...................
[CV]  c1=1.5210075359456365, c2=0.04623910479922095, score=0.757257 -   1.4s
[CV] c1=0.009852470540255136, c2=0.04617608907779273 .................
[CV]  c1=0.009852470540255136, c2=0.04617608907779273, score=0.774715 -   1.5s
[CV] c1=1.5452170071917972, c2=0.0034733922599257862 .................
[CV]  c1=1.5452170071917972, c2=0.0034733922599257862, score=0.767434 -   1.4s
[CV] c1=0.03917965343114625, c2=0.023602721515687507 .................
[CV]  c1=0.03917965343114625, c2=0.023602721515687507, score=0.894517 -   1.4s
[CV] c1=0.25651297764347886, c2=0.00095727615307465 ..................
[CV]  c1=0.25651297764347886, c2=0.00095727615307465, score=0.793803 -   1.4s
[CV] c1=0.6615558539474364, c2=0.029466045166209365 ..................
[CV]  c1=0.6615558539474364, c2=0.029466045166209365, score=0.815664 -   1.4s
[CV] c1=0.40693349667827666, c2=0.13159699894753285 ..................
[CV]  c1=0.40693349667827666, c2=0.13159699894753285, score=0.720445 -   1.2s
[CV] c1=0.22928371642062806, c2=0.009882124692458723 .................
[CV]  c1=0.22928371642062806, c2=0.009882124692458723, score=0.901717 -   1.3s
[CV] c1=1.7987015183012143, c2=0.04332835625671804 ...................
[CV]  c1=1.7987015183012143, c2=0.04332835625671804, score=0.608850 -   1.4s
[CV] c1=0.05639907094422152, c2=0.09849524673681427 ..................
[CV]  c1=0.05639907094422152, c2=0.09849524673681427, score=0.852662 -   1.5s
[CV] c1=0.11204837824083991, c2=0.03824320005309311 ..................
[CV]  c1=0.11204837824083991, c2=0.03824320005309311, score=0.808350 -   1.4s
[CV] c1=0.0333948746496322, c2=0.052038112280835214 ..................
[CV]  c1=0.0333948746496322, c2=0.052038112280835214, score=0.814338 -   1.4s
[CV] c1=0.10905473489880872, c2=0.087110467857846 ....................
[CV]  c1=0.10905473489880872, c2=0.087110467857846, score=0.901717 -   1.4s
[CV] c1=0.43509226774492976, c2=0.06954576437682423 ..................
[CV]  c1=0.43509226774492976, c2=0.06954576437682423, score=0.748946 -   1.4s
[CV] c1=0.08474470875327882, c2=0.030408971224536216 .................
[CV]  c1=0.08474470875327882, c2=0.030408971224536216, score=0.827797 -   1.4s
[CV] c1=0.640542126125638, c2=0.031121991960973164 ...................
[CV]  c1=0.640542126125638, c2=0.031121991960973164, score=0.700586 -   1.5s
[CV] c1=0.08282945862228991, c2=0.070750124740506 ....................
[CV]  c1=0.08282945862228991, c2=0.070750124740506, score=0.783004 -   1.1s
[CV] c1=0.19353877295793048, c2=0.023358415352363868 .................
[CV]  c1=0.19353877295793048, c2=0.023358415352363868, score=0.901717 -   1.4s
[CV] c1=0.40693349667827666, c2=0.13159699894753285 ..................
[CV]  c1=0.40693349667827666, c2=0.13159699894753285, score=0.796262 -   1.5s
[CV] c1=0.007205974223566891, c2=0.0850383778286007 ..................
[CV]  c1=0.007205974223566891, c2=0.0850383778286007, score=0.849381 -   1.3s
[CV] c1=0.10794179389083458, c2=0.11403940366403519 ..................
[CV]  c1=0.10794179389083458, c2=0.11403940366403519, score=0.841512 -   1.3s
[CV] c1=0.08697078840944507, c2=0.07290340606234263 ..................
[CV]  c1=0.08697078840944507, c2=0.07290340606234263, score=0.775986 -   1.1s
[CV] c1=0.11204837824083991, c2=0.03824320005309311 ..................
[CV]  c1=0.11204837824083991, c2=0.03824320005309311, score=0.813160 -   1.4s
[CV] c1=1.8557358021636225, c2=0.06295572249500037 ...................
[CV]  c1=1.8557358021636225, c2=0.06295572249500037, score=0.796311 -   1.4s
[CV] c1=0.10905473489880872, c2=0.087110467857846 ....................
[CV]  c1=0.10905473489880872, c2=0.087110467857846, score=0.807056 -   1.3s
[CV] c1=0.43509226774492976, c2=0.06954576437682423 ..................
[CV]  c1=0.43509226774492976, c2=0.06954576437682423, score=0.833279 -   1.4s
[CV] c1=0.3103322970153329, c2=0.01707594200577305 ...................
[CV]  c1=0.3103322970153329, c2=0.01707594200577305, score=0.746780 -   1.1s
[CV] c1=0.03917965343114625, c2=0.023602721515687507 .................
[CV]  c1=0.03917965343114625, c2=0.023602721515687507, score=0.840080 -   1.3s
[CV] c1=0.25651297764347886, c2=0.00095727615307465 ..................
[CV]  c1=0.25651297764347886, c2=0.00095727615307465, score=0.840510 -   1.3s
[CV] c1=0.6615558539474364, c2=0.029466045166209365 ..................
[CV]  c1=0.6615558539474364, c2=0.029466045166209365, score=0.696271 -   1.6s
[CV] c1=0.20041697260445904, c2=0.013171981962370048 .................
[CV]  c1=0.20041697260445904, c2=0.013171981962370048, score=0.861241 -   1.3s
[CV] c1=0.007205974223566891, c2=0.0850383778286007 ..................
[CV]  c1=0.007205974223566891, c2=0.0850383778286007, score=0.792458 -   1.4s
[CV] c1=0.10794179389083458, c2=0.11403940366403519 ..................
[CV]  c1=0.10794179389083458, c2=0.11403940366403519, score=0.850063 -   1.5s
[CV] c1=0.5500071405748446, c2=0.04788620706464213 ...................
[CV]  c1=0.5500071405748446, c2=0.04788620706464213, score=0.825353 -   1.4s
[CV] c1=0.11957040820547567, c2=0.2213429487496845 ...................
[CV]  c1=0.11957040820547567, c2=0.2213429487496845, score=0.758793 -   1.1s
[CV] c1=1.8557358021636225, c2=0.06295572249500037 ...................
[CV]  c1=1.8557358021636225, c2=0.06295572249500037, score=0.557062 -   1.4s
[CV] c1=0.36531323809682636, c2=0.10198305878859602 ..................
[CV]  c1=0.36531323809682636, c2=0.10198305878859602, score=0.771523 -   1.5s
[CV] c1=0.5251540762183262, c2=0.0008259475089799535 .................
[CV]  c1=0.5251540762183262, c2=0.0008259475089799535, score=0.736089 -   1.2s
[CV] c1=0.8917001802738582, c2=0.014808123678363386 ..................
[CV]  c1=0.8917001802738582, c2=0.014808123678363386, score=0.806379 -   1.3s
[CV] c1=0.18901162075847672, c2=0.04770344316084691 ..................
[CV]  c1=0.18901162075847672, c2=0.04770344316084691, score=0.799709 -   1.4s
[CV] c1=0.987084951241216, c2=0.0009569202342938981 ..................
[CV]  c1=0.987084951241216, c2=0.0009569202342938981, score=0.863955 -   1.4s
[CV] c1=0.9184236149053802, c2=0.005843205796814665 ..................
[CV]  c1=0.9184236149053802, c2=0.005843205796814665, score=0.877829 -   1.4s
[CV] c1=0.4616602516315676, c2=0.11403410871254899 ...................
[CV]  c1=0.4616602516315676, c2=0.11403410871254899, score=0.717169 -   1.6s
[CV] c1=0.2480933915345742, c2=0.01247947968282686 ...................
[CV]  c1=0.2480933915345742, c2=0.01247947968282686, score=0.783420 -   1.4s
[CV] c1=0.10794179389083458, c2=0.11403940366403519 ..................
[CV]  c1=0.10794179389083458, c2=0.11403940366403519, score=0.883387 -   1.5s
[CV] c1=0.08697078840944507, c2=0.07290340606234263 ..................
[CV]  c1=0.08697078840944507, c2=0.07290340606234263, score=0.855265 -   1.5s
[CV] c1=0.11957040820547567, c2=0.2213429487496845 ...................
[CV]  c1=0.11957040820547567, c2=0.2213429487496845, score=0.767525 -   1.5s
[CV] c1=0.2801085848035444, c2=0.027428390246611346 ..................
[CV]  c1=0.2801085848035444, c2=0.027428390246611346, score=0.912049 -   1.4s
[CV] c1=0.18766145523746972, c2=0.005918521793666152 .................
[CV]  c1=0.18766145523746972, c2=0.005918521793666152, score=0.791246 -   1.3s
[CV] c1=0.7964229161823753, c2=0.03346438652820222 ...................
[CV]  c1=0.7964229161823753, c2=0.03346438652820222, score=0.669242 -   1.1s
[CV] c1=0.1898539440156982, c2=0.014769296470836517 ..................
[CV]  c1=0.1898539440156982, c2=0.014769296470836517, score=0.901717 -   1.4s
[CV] c1=0.4284142995536537, c2=0.060781512369846205 ..................
[CV]  c1=0.4284142995536537, c2=0.060781512369846205, score=0.893260 -   1.4s
[CV] c1=0.08282945862228991, c2=0.070750124740506 ....................
[CV]  c1=0.08282945862228991, c2=0.070750124740506, score=0.816317 -   1.4s
[CV] c1=0.22040965674566113, c2=0.11119204000272409 ..................
[CV]  c1=0.22040965674566113, c2=0.11119204000272409, score=0.852664 -   1.4s
[CV] c1=0.16343469229945168, c2=0.006298796573648223 .................
[CV]  c1=0.16343469229945168, c2=0.006298796573648223, score=0.746462 -   1.2s
[CV] c1=0.045297302708173635, c2=0.07374477465542416 .................
[CV]  c1=0.045297302708173635, c2=0.07374477465542416, score=0.899850 -   1.4s
[CV] c1=0.4690806791898596, c2=0.1257417766543677 ....................
[CV]  c1=0.4690806791898596, c2=0.1257417766543677, score=0.721745 -   1.1s
[CV] c1=1.2801391856489874, c2=0.06301000366598673 ...................
[CV]  c1=1.2801391856489874, c2=0.06301000366598673, score=0.626970 -   1.4s
[CV] c1=0.5880662009096902, c2=0.06375880046194332 ...................
[CV]  c1=0.5880662009096902, c2=0.06375880046194332, score=0.828330 -   1.4s
[CV] c1=0.37760047609658365, c2=0.00017258683612382845 ...............
[CV]  c1=0.37760047609658365, c2=0.00017258683612382845, score=0.787449 -   1.5s
[CV] c1=0.36531323809682636, c2=0.10198305878859602 ..................
[CV]  c1=0.36531323809682636, c2=0.10198305878859602, score=0.792761 -   1.4s
[CV] c1=0.5251540762183262, c2=0.0008259475089799535 .................
[CV]  c1=0.5251540762183262, c2=0.0008259475089799535, score=0.893296 -   1.4s
[CV] c1=0.08474470875327882, c2=0.030408971224536216 .................
[CV]  c1=0.08474470875327882, c2=0.030408971224536216, score=0.737198 -   1.1s
[CV] c1=0.895941101303516, c2=0.026021259577040136 ...................
[CV]  c1=0.895941101303516, c2=0.026021259577040136, score=0.755416 -   1.4s
[CV] c1=0.25651297764347886, c2=0.00095727615307465 ..................
[CV]  c1=0.25651297764347886, c2=0.00095727615307465, score=0.901717 -   1.5s
[CV] c1=0.6615558539474364, c2=0.029466045166209365 ..................
[CV]  c1=0.6615558539474364, c2=0.029466045166209365, score=0.813441 -   1.5s
[CV] c1=0.20041697260445904, c2=0.013171981962370048 .................
[CV]  c1=0.20041697260445904, c2=0.013171981962370048, score=0.742854 -   1.2s
[CV] c1=0.22928371642062806, c2=0.009882124692458723 .................
[CV]  c1=0.22928371642062806, c2=0.009882124692458723, score=0.874486 -   1.5s
[CV] c1=0.503855434973431, c2=0.2608706574689455 .....................
[CV]  c1=0.503855434973431, c2=0.2608706574689455, score=0.685596 -   1.4s
[CV] c1=1.2801391856489874, c2=0.06301000366598673 ...................
[CV]  c1=1.2801391856489874, c2=0.06301000366598673, score=0.609968 -   1.5s
[CV] c1=0.13095381999117567, c2=0.008099182505839785 .................
[CV]  c1=0.13095381999117567, c2=0.008099182505839785, score=0.805763 -   1.4s
[CV] c1=0.37760047609658365, c2=0.00017258683612382845 ...............
[CV]  c1=0.37760047609658365, c2=0.00017258683612382845, score=0.870765 -   1.4s
[CV] c1=0.36531323809682636, c2=0.10198305878859602 ..................
[CV]  c1=0.36531323809682636, c2=0.10198305878859602, score=0.829519 -   1.4s
[CV] c1=0.7491995985953152, c2=0.03183400933966574 ...................
[CV]  c1=0.7491995985953152, c2=0.03183400933966574, score=0.813441 -   1.4s
[CV] c1=0.1898539440156982, c2=0.014769296470836517 ..................
[CV]  c1=0.1898539440156982, c2=0.014769296470836517, score=0.851626 -   1.4s
[CV] c1=0.4284142995536537, c2=0.060781512369846205 ..................
[CV]  c1=0.4284142995536537, c2=0.060781512369846205, score=0.835834 -   1.3s
[CV] c1=0.08282945862228991, c2=0.070750124740506 ....................
[CV]  c1=0.08282945862228991, c2=0.070750124740506, score=0.899606 -   1.4s
[CV] c1=0.22040965674566113, c2=0.11119204000272409 ..................
[CV]  c1=0.22040965674566113, c2=0.11119204000272409, score=0.750333 -   1.2s
[CV] c1=0.20041697260445904, c2=0.013171981962370048 .................
[CV]  c1=0.20041697260445904, c2=0.013171981962370048, score=0.901717 -   1.5s
[CV] c1=0.007205974223566891, c2=0.0850383778286007 ..................
[CV]  c1=0.007205974223566891, c2=0.0850383778286007, score=0.781689 -   1.1s
[CV] c1=0.503855434973431, c2=0.2608706574689455 .....................
[CV]  c1=0.503855434973431, c2=0.2608706574689455, score=0.857528 -   1.5s
[CV] c1=1.2801391856489874, c2=0.06301000366598673 ...................
[CV]  c1=1.2801391856489874, c2=0.06301000366598673, score=0.771020 -   1.4s
[CV] c1=0.5880662009096902, c2=0.06375880046194332 ...................
[CV]  c1=0.5880662009096902, c2=0.06375880046194332, score=0.816716 -   1.4s
[CV] c1=0.37760047609658365, c2=0.00017258683612382845 ...............
[CV]  c1=0.37760047609658365, c2=0.00017258683612382845, score=0.914036 -   1.4s
[CV] c1=0.36531323809682636, c2=0.10198305878859602 ..................
[CV]  c1=0.36531323809682636, c2=0.10198305878859602, score=0.876961 -   1.4s
[CV] c1=0.7491995985953152, c2=0.03183400933966574 ...................
[CV]  c1=0.7491995985953152, c2=0.03183400933966574, score=0.815664 -   1.4s
[CV] c1=0.1898539440156982, c2=0.014769296470836517 ..................
[CV]  c1=0.1898539440156982, c2=0.014769296470836517, score=0.815855 -   1.5s
[CV] c1=0.9593259303527796, c2=0.0593618684695571 ....................
[CV]  c1=0.9593259303527796, c2=0.0593618684695571, score=0.789930 -   1.4s
[CV] c1=0.520291624781776, c2=0.03623493671300014 ....................
[CV]  c1=0.520291624781776, c2=0.03623493671300014, score=0.840978 -   1.3s
[CV] c1=1.5101957938084098, c2=0.0245827616850869 ....................
[CV]  c1=1.5101957938084098, c2=0.0245827616850869, score=0.632403 -   1.2s
[CV] c1=0.20041697260445904, c2=0.013171981962370048 .................
[CV]  c1=0.20041697260445904, c2=0.013171981962370048, score=0.815855 -   1.5s
[CV] c1=0.045297302708173635, c2=0.07374477465542416 .................
[CV]  c1=0.045297302708173635, c2=0.07374477465542416, score=0.771195 -   1.1s
[CV] c1=0.503855434973431, c2=0.2608706574689455 .....................
[CV]  c1=0.503855434973431, c2=0.2608706574689455, score=0.787433 -   1.5s
[CV] c1=0.08697078840944507, c2=0.07290340606234263 ..................
[CV]  c1=0.08697078840944507, c2=0.07290340606234263, score=0.810739 -   1.4s
[CV] c1=0.13095381999117567, c2=0.008099182505839785 .................
[CV]  c1=0.13095381999117567, c2=0.008099182505839785, score=0.875412 -   1.5s
[CV] c1=0.6847535718378905, c2=0.006883141268324009 ..................
[CV]  c1=0.6847535718378905, c2=0.006883141268324009, score=0.709851 -   1.5s
[CV] c1=0.18766145523746972, c2=0.005918521793666152 .................
[CV]  c1=0.18766145523746972, c2=0.005918521793666152, score=0.731567 -   1.1s
[CV] c1=0.7491995985953152, c2=0.03183400933966574 ...................
[CV]  c1=0.7491995985953152, c2=0.03183400933966574, score=0.696271 -   1.4s
[CV] c1=0.43377468889753734, c2=0.05078597277127111 ..................
[CV]  c1=0.43377468889753734, c2=0.05078597277127111, score=0.891149 -   1.6s
[CV] c1=0.640542126125638, c2=0.031121991960973164 ...................
[CV]  c1=0.640542126125638, c2=0.031121991960973164, score=0.819921 -   1.3s
[CV] c1=0.03429630205406427, c2=0.014732465714199708 .................
[CV]  c1=0.03429630205406427, c2=0.014732465714199708, score=0.867273 -   1.5s
[CV] c1=0.22040965674566113, c2=0.11119204000272409 ..................
[CV]  c1=0.22040965674566113, c2=0.11119204000272409, score=0.833972 -   1.4s
[CV] c1=0.9743388164012751, c2=0.029109307177325863 ..................
[CV]  c1=0.9743388164012751, c2=0.029109307177325863, score=0.799765 -   1.4s
[CV] c1=0.045297302708173635, c2=0.07374477465542416 .................
[CV]  c1=0.045297302708173635, c2=0.07374477465542416, score=0.825019 -   1.3s
[CV] c1=0.4690806791898596, c2=0.1257417766543677 ....................
[CV]  c1=0.4690806791898596, c2=0.1257417766543677, score=0.717169 -   1.5s
[CV] c1=0.5500071405748446, c2=0.04788620706464213 ...................
[CV]  c1=0.5500071405748446, c2=0.04788620706464213, score=0.824829 -   1.4s
[CV] c1=0.049470400165740065, c2=0.006490746132808417 ................
[CV]  c1=0.049470400165740065, c2=0.006490746132808417, score=0.889508 -   1.4s
[CV] c1=0.2801085848035444, c2=0.027428390246611346 ..................
[CV]  c1=0.2801085848035444, c2=0.027428390246611346, score=0.739860 -   1.2s
[CV] c1=0.0922031143619133, c2=0.051831745941540434 ..................
[CV]  c1=0.0922031143619133, c2=0.051831745941540434, score=0.776235 -   1.1s
[CV] c1=0.7491995985953152, c2=0.03183400933966574 ...................
[CV]  c1=0.7491995985953152, c2=0.03183400933966574, score=0.886722 -   1.4s
[CV] c1=0.3103322970153329, c2=0.01707594200577305 ...................
[CV]  c1=0.3103322970153329, c2=0.01707594200577305, score=0.851626 -   1.3s
[CV] c1=0.9593259303527796, c2=0.0593618684695571 ....................
[CV]  c1=0.9593259303527796, c2=0.0593618684695571, score=0.652221 -   1.1s
[CV] c1=0.03429630205406427, c2=0.014732465714199708 .................
[CV]  c1=0.03429630205406427, c2=0.014732465714199708, score=0.833763 -   1.3s
[CV] c1=0.19353877295793048, c2=0.023358415352363868 .................
[CV]  c1=0.19353877295793048, c2=0.023358415352363868, score=0.855454 -   1.4s
[CV] c1=0.20041697260445904, c2=0.013171981962370048 .................
[CV]  c1=0.20041697260445904, c2=0.013171981962370048, score=0.800049 -   1.5s
[CV] c1=0.007205974223566891, c2=0.0850383778286007 ..................
[CV]  c1=0.007205974223566891, c2=0.0850383778286007, score=0.846299 -   1.5s
[CV] c1=0.4690806791898596, c2=0.1257417766543677 ....................
[CV]  c1=0.4690806791898596, c2=0.1257417766543677, score=0.798557 -   1.4s
[CV] c1=0.5500071405748446, c2=0.04788620706464213 ...................
[CV]  c1=0.5500071405748446, c2=0.04788620706464213, score=0.721339 -   1.4s
[CV] c1=0.11957040820547567, c2=0.2213429487496845 ...................
[CV]  c1=0.11957040820547567, c2=0.2213429487496845, score=0.824400 -   1.3s
[CV] c1=0.6847535718378905, c2=0.006883141268324009 ..................
[CV]  c1=0.6847535718378905, c2=0.006883141268324009, score=0.733041 -   1.1s
[CV] c1=0.10905473489880872, c2=0.087110467857846 ....................
[CV]  c1=0.10905473489880872, c2=0.087110467857846, score=0.849027 -   1.3s
[CV] c1=0.43509226774492976, c2=0.06954576437682423 ..................
[CV]  c1=0.43509226774492976, c2=0.06954576437682423, score=0.798138 -   1.4s
[CV] c1=0.3103322970153329, c2=0.01707594200577305 ...................
[CV]  c1=0.3103322970153329, c2=0.01707594200577305, score=0.912049 -   1.4s
[CV] c1=0.9593259303527796, c2=0.0593618684695571 ....................
[CV]  c1=0.9593259303527796, c2=0.0593618684695571, score=0.869660 -   1.4s
[CV] c1=0.520291624781776, c2=0.03623493671300014 ....................
[CV]  c1=0.520291624781776, c2=0.03623493671300014, score=0.737424 -   1.1s
[CV] c1=0.19353877295793048, c2=0.023358415352363868 .................
[CV]  c1=0.19353877295793048, c2=0.023358415352363868, score=0.869815 -   1.4s
[CV] c1=0.9743388164012751, c2=0.029109307177325863 ..................
[CV]  c1=0.9743388164012751, c2=0.029109307177325863, score=0.870736 -   1.4s
[CV] c1=0.045297302708173635, c2=0.07374477465542416 .................
[CV]  c1=0.045297302708173635, c2=0.07374477465542416, score=0.816317 -   1.4s
[CV] c1=0.4690806791898596, c2=0.1257417766543677 ....................
[CV]  c1=0.4690806791898596, c2=0.1257417766543677, score=0.790044 -   1.4s
[CV] c1=0.4418595165780202, c2=0.034816573728778305 ..................
[CV]  c1=0.4418595165780202, c2=0.034816573728778305, score=0.734238 -   1.1s
[CV] c1=0.11957040820547567, c2=0.2213429487496845 ...................
[CV]  c1=0.11957040820547567, c2=0.2213429487496845, score=0.884471 -   1.4s
[CV] c1=0.6847535718378905, c2=0.006883141268324009 ..................
[CV]  c1=0.6847535718378905, c2=0.006883141268324009, score=0.818217 -   1.4s
[CV] c1=0.0922031143619133, c2=0.051831745941540434 ..................
[CV]  c1=0.0922031143619133, c2=0.051831745941540434, score=0.849027 -   1.3s
[CV] c1=0.5251540762183262, c2=0.0008259475089799535 .................
[CV]  c1=0.5251540762183262, c2=0.0008259475089799535, score=0.837145 -   1.3s
[CV] c1=0.43377468889753734, c2=0.05078597277127111 ..................
[CV]  c1=0.43377468889753734, c2=0.05078597277127111, score=0.851969 -   1.6s
[CV] c1=0.4284142995536537, c2=0.060781512369846205 ..................
[CV]  c1=0.4284142995536537, c2=0.060781512369846205, score=0.792761 -   1.4s
[CV] c1=0.520291624781776, c2=0.03623493671300014 ....................
[CV]  c1=0.520291624781776, c2=0.03623493671300014, score=0.893742 -   1.4s
[CV] c1=1.5101957938084098, c2=0.0245827616850869 ....................
[CV]  c1=1.5101957938084098, c2=0.0245827616850869, score=0.619474 -   1.5s
[CV] c1=0.16343469229945168, c2=0.006298796573648223 .................
[CV]  c1=0.16343469229945168, c2=0.006298796573648223, score=0.815855 -   1.4s
[CV] c1=0.9257027207651415, c2=0.061336984355358996 ..................
[CV]  c1=0.9257027207651415, c2=0.061336984355358996, score=0.879495 -   1.4s
[CV] c1=0.014200413757939939, c2=0.0008386773263625183 ...............
[CV]  c1=0.014200413757939939, c2=0.0008386773263625183, score=0.893607 -   1.4s
[CV] c1=0.4418595165780202, c2=0.034816573728778305 ..................
[CV]  c1=0.4418595165780202, c2=0.034816573728778305, score=0.842065 -   1.3s
[CV] c1=0.049470400165740065, c2=0.006490746132808417 ................
[CV]  c1=0.049470400165740065, c2=0.006490746132808417, score=0.771756 -   1.1s
[CV] c1=0.6847535718378905, c2=0.006883141268324009 ..................
[CV]  c1=0.6847535718378905, c2=0.006883141268324009, score=0.881471 -   1.4s
[CV] c1=0.0922031143619133, c2=0.051831745941540434 ..................
[CV]  c1=0.0922031143619133, c2=0.051831745941540434, score=0.901717 -   1.4s
[CV] c1=0.5251540762183262, c2=0.0008259475089799535 .................
[CV]  c1=0.5251540762183262, c2=0.0008259475089799535, score=0.727960 -   1.4s
[CV] c1=0.1898539440156982, c2=0.014769296470836517 ..................
[CV]  c1=0.1898539440156982, c2=0.014769296470836517, score=0.745790 -   1.1s
[CV] c1=0.03917965343114625, c2=0.023602721515687507 .................
[CV]  c1=0.03917965343114625, c2=0.023602721515687507, score=0.804096 -   1.1s
[CV] c1=0.4512039330819079, c2=0.0664590455745935 ....................
[CV]  c1=0.4512039330819079, c2=0.0664590455745935, score=0.837746 -   1.4s
[CV] c1=0.5980913865353203, c2=0.05103759336462266 ...................
[CV]  c1=0.5980913865353203, c2=0.05103759336462266, score=0.790044 -   1.5s
[CV] c1=0.4616602516315676, c2=0.11403410871254899 ...................
[CV]  c1=0.4616602516315676, c2=0.11403410871254899, score=0.739598 -   1.1s
[CV] c1=0.18457443189781303, c2=0.07717047861252695 ..................
[CV]  c1=0.18457443189781303, c2=0.07717047861252695, score=0.856248 -   1.4s
[CV] c1=1.7987015183012143, c2=0.04332835625671804 ...................
[CV]  c1=1.7987015183012143, c2=0.04332835625671804, score=0.803929 -   1.4s
[CV] c1=0.05639907094422152, c2=0.09849524673681427 ..................
[CV]  c1=0.05639907094422152, c2=0.09849524673681427, score=0.771712 -   1.1s
[CV] c1=0.040215868380440827, c2=0.020486733463909366 ................
[CV]  c1=0.040215868380440827, c2=0.020486733463909366, score=0.831266 -   1.3s
[CV] c1=0.08148416755057306, c2=0.11239173988309942 ..................
[CV]  c1=0.08148416755057306, c2=0.11239173988309942, score=0.895177 -   1.4s
[CV] c1=0.3556980133645951, c2=0.009335378722097746 ..................
[CV]  c1=0.3556980133645951, c2=0.009335378722097746, score=0.746780 -   1.1s
[CV] c1=0.0922031143619133, c2=0.051831745941540434 ..................
[CV]  c1=0.0922031143619133, c2=0.051831745941540434, score=0.855265 -   1.4s
[CV] c1=0.7964229161823753, c2=0.03346438652820222 ...................
[CV]  c1=0.7964229161823753, c2=0.03346438652820222, score=0.877829 -   1.4s
[CV] c1=0.9239175547371826, c2=0.04031603322344472 ...................
[CV]  c1=0.9239175547371826, c2=0.04031603322344472, score=0.806379 -   1.2s
[CV] c1=0.07318917303347226, c2=0.043704628303572475 .................
[CV]  c1=0.07318917303347226, c2=0.043704628303572475, score=0.759840 -   1.1s
[CV] c1=1.397541473925966, c2=0.02251432817473698 ....................
[CV]  c1=1.397541473925966, c2=0.02251432817473698, score=0.632194 -   1.2s
[CV] c1=0.520291624781776, c2=0.03623493671300014 ....................
[CV]  c1=0.520291624781776, c2=0.03623493671300014, score=0.735082 -   1.4s
[CV] c1=1.5101957938084098, c2=0.0245827616850869 ....................
[CV]  c1=1.5101957938084098, c2=0.0245827616850869, score=0.736008 -   1.4s
[CV] c1=0.16343469229945168, c2=0.006298796573648223 .................
[CV]  c1=0.16343469229945168, c2=0.006298796573648223, score=0.808110 -   1.4s
[CV] c1=0.06926773671042119, c2=0.07360165014668839 ..................
[CV]  c1=0.06926773671042119, c2=0.07360165014668839, score=0.849027 -   1.4s
[CV] c1=0.4944869275874368, c2=0.007386321028122849 ..................
[CV]  c1=0.4944869275874368, c2=0.007386321028122849, score=0.897566 -   1.6s
[CV] c1=0.040215868380440827, c2=0.020486733463909366 ................
[CV]  c1=0.040215868380440827, c2=0.020486733463909366, score=0.787845 -   1.1s
[CV] c1=0.11957040820547567, c2=0.2213429487496845 ...................
[CV]  c1=0.11957040820547567, c2=0.2213429487496845, score=0.791308 -   1.5s
[CV] c1=0.2801085848035444, c2=0.027428390246611346 ..................
[CV]  c1=0.2801085848035444, c2=0.027428390246611346, score=0.796026 -   1.4s
[CV] c1=0.18766145523746972, c2=0.005918521793666152 .................
[CV]  c1=0.18766145523746972, c2=0.005918521793666152, score=0.848142 -   1.3s
[CV] c1=0.7964229161823753, c2=0.03346438652820222 ...................
[CV]  c1=0.7964229161823753, c2=0.03346438652820222, score=0.692024 -   1.3s
[CV] c1=0.8917001802738582, c2=0.014808123678363386 ..................
[CV]  c1=0.8917001802738582, c2=0.014808123678363386, score=0.684035 -   0.9s
[CV] c1=0.7115671037084563, c2=0.03708034152413422 ...................
[CV]  c1=0.7115671037084563, c2=0.03708034152413422, score=0.690397 -   1.1s
[CV] c1=0.9593259303527796, c2=0.0593618684695571 ....................
[CV]  c1=0.9593259303527796, c2=0.0593618684695571, score=0.671762 -   1.5s
[CV] c1=0.08266914175180354, c2=0.04469453394116177 ..................
[CV]  c1=0.08266914175180354, c2=0.04469453394116177, score=0.763438 -   1.2s
[CV] c1=1.5101957938084098, c2=0.0245827616850869 ....................
[CV]  c1=1.5101957938084098, c2=0.0245827616850869, score=0.845322 -   1.5s
[CV] c1=0.16343469229945168, c2=0.006298796573648223 .................
[CV]  c1=0.16343469229945168, c2=0.006298796573648223, score=0.861704 -   1.4s
[CV] c1=0.06926773671042119, c2=0.07360165014668839 ..................
[CV]  c1=0.06926773671042119, c2=0.07360165014668839, score=0.841156 -   1.5s
[CV] c1=0.014200413757939939, c2=0.0008386773263625183 ...............
[CV]  c1=0.014200413757939939, c2=0.0008386773263625183, score=0.817182 -   1.5s
[CV] c1=2.031441662478555, c2=0.10774174061059937 ....................
[CV]  c1=2.031441662478555, c2=0.10774174061059937, score=0.785104 -   1.4s
[CV] c1=0.019743284987438117, c2=0.010854166711255957 ................
[CV]  c1=0.019743284987438117, c2=0.010854166711255957, score=0.895218 -   1.4s
[CV] c1=0.11434048634621664, c2=0.051684694445965164 .................
[CV]  c1=0.11434048634621664, c2=0.051684694445965164, score=0.752095 -   1.2s
[CV] c1=0.13890443870027855, c2=0.038851087700596115 .................
[CV]  c1=0.13890443870027855, c2=0.038851087700596115, score=0.901717 -   1.4s
[CV] c1=0.06269040224596414, c2=0.041075089149814545 .................
[CV]  c1=0.06269040224596414, c2=0.041075089149814545, score=0.795261 -   1.1s
[CV] c1=0.8917001802738582, c2=0.014808123678363386 ..................
[CV]  c1=0.8917001802738582, c2=0.014808123678363386, score=0.755377 -   1.3s
[CV] c1=0.18901162075847672, c2=0.04770344316084691 ..................
[CV]  c1=0.18901162075847672, c2=0.04770344316084691, score=0.754492 -   1.1s
[CV] c1=0.32789785053211457, c2=0.01132815615835556 ..................
[CV]  c1=0.32789785053211457, c2=0.01132815615835556, score=0.744442 -   1.1s
[CV] c1=0.08266914175180354, c2=0.04469453394116177 ..................
[CV]  c1=0.08266914175180354, c2=0.04469453394116177, score=0.901717 -   1.4s
[CV] c1=0.12463342947858823, c2=0.07529487340608118 ..................
[CV]  c1=0.12463342947858823, c2=0.07529487340608118, score=0.807056 -   1.5s
[CV] c1=0.2032928806618897, c2=0.019470465736444568 ..................
[CV]  c1=0.2032928806618897, c2=0.019470465736444568, score=0.806348 -   1.5s
[CV] c1=0.10825720797721405, c2=0.052333918375817745 .................
[CV]  c1=0.10825720797721405, c2=0.052333918375817745, score=0.736169 -   1.1s
[CV] c1=0.014200413757939939, c2=0.0008386773263625183 ...............
[CV]  c1=0.014200413757939939, c2=0.0008386773263625183, score=0.847830 -   1.1s
[CV] c1=0.4418595165780202, c2=0.034816573728778305 ..................
[CV]  c1=0.4418595165780202, c2=0.034816573728778305, score=0.893260 -   1.5s
[CV] c1=0.049470400165740065, c2=0.006490746132808417 ................
[CV]  c1=0.049470400165740065, c2=0.006490746132808417, score=0.845068 -   1.4s
[CV] c1=0.2801085848035444, c2=0.027428390246611346 ..................
[CV]  c1=0.2801085848035444, c2=0.027428390246611346, score=0.811184 -   1.5s
[CV] c1=0.13890443870027855, c2=0.038851087700596115 .................
[CV]  c1=0.13890443870027855, c2=0.038851087700596115, score=0.751130 -   1.2s
[CV] c1=0.7964229161823753, c2=0.03346438652820222 ...................
[CV]  c1=0.7964229161823753, c2=0.03346438652820222, score=0.809792 -   1.3s
[CV] c1=1.5452170071917972, c2=0.0034733922599257862 .................
[CV]  c1=1.5452170071917972, c2=0.0034733922599257862, score=0.610377 -   1.4s
[CV] c1=0.03917965343114625, c2=0.023602721515687507 .................
[CV]  c1=0.03917965343114625, c2=0.023602721515687507, score=0.809398 -   1.5s
[CV] c1=0.03429630205406427, c2=0.014732465714199708 .................
[CV]  c1=0.03429630205406427, c2=0.014732465714199708, score=0.809398 -   1.4s
[CV] c1=0.22040965674566113, c2=0.11119204000272409 ..................
[CV]  c1=0.22040965674566113, c2=0.11119204000272409, score=0.901436 -   1.4s
[CV] c1=0.9743388164012751, c2=0.029109307177325863 ..................
[CV]  c1=0.9743388164012751, c2=0.029109307177325863, score=0.678843 -   1.4s
[CV] c1=0.045297302708173635, c2=0.07374477465542416 .................
[CV]  c1=0.045297302708173635, c2=0.07374477465542416, score=0.814338 -   1.5s
[CV] c1=0.4944869275874368, c2=0.007386321028122849 ..................
[CV]  c1=0.4944869275874368, c2=0.007386321028122849, score=0.737424 -   1.2s
[CV] c1=0.5500071405748446, c2=0.04788620706464213 ...................
[CV]  c1=0.5500071405748446, c2=0.04788620706464213, score=0.885090 -   1.6s
[CV] c1=0.049470400165740065, c2=0.006490746132808417 ................
[CV]  c1=0.049470400165740065, c2=0.006490746132808417, score=0.809529 -   1.4s
[CV] c1=0.2801085848035444, c2=0.027428390246611346 ..................
[CV]  c1=0.2801085848035444, c2=0.027428390246611346, score=0.855454 -   1.4s
[CV] c1=0.18766145523746972, c2=0.005918521793666152 .................
[CV]  c1=0.18766145523746972, c2=0.005918521793666152, score=0.833015 -   1.5s
[CV] c1=0.06269040224596414, c2=0.041075089149814545 .................
[CV]  c1=0.06269040224596414, c2=0.041075089149814545, score=0.899850 -   1.2s
[CV] c1=0.9239175547371826, c2=0.04031603322344472 ...................
[CV]  c1=0.9239175547371826, c2=0.04031603322344472, score=0.651260 -   0.9s
[CV] c1=0.7115671037084563, c2=0.03708034152413422 ...................
[CV]  c1=0.7115671037084563, c2=0.03708034152413422, score=0.872808 -   1.6s
[CV] c1=1.397541473925966, c2=0.02251432817473698 ....................
[CV]  c1=1.397541473925966, c2=0.02251432817473698, score=0.762794 -   1.5s
[CV] c1=0.47126652162463134, c2=0.05933162733570302 ..................
[CV]  c1=0.47126652162463134, c2=0.05933162733570302, score=0.890841 -   1.5s
[CV] c1=0.046857775910544325, c2=0.02210971099596652 .................
[CV]  c1=0.046857775910544325, c2=0.02210971099596652, score=0.810739 -   1.5s
[CV] c1=0.4638720999424967, c2=0.004263127131015308 ..................
[CV]  c1=0.4638720999424967, c2=0.004263127131015308, score=0.762824 -   1.5s
[CV] c1=0.3059113090272354, c2=0.09319447690003411 ...................
[CV]  c1=0.3059113090272354, c2=0.09319447690003411, score=0.782572 -   1.6s
[CV] c1=0.08697078840944507, c2=0.07290340606234263 ..................
[CV]  c1=0.08697078840944507, c2=0.07290340606234263, score=0.899156 -   1.4s
[CV] c1=0.13095381999117567, c2=0.008099182505839785 .................
[CV]  c1=0.13095381999117567, c2=0.008099182505839785, score=0.861704 -   1.4s
[CV] c1=0.37760047609658365, c2=0.00017258683612382845 ...............
[CV]  c1=0.37760047609658365, c2=0.00017258683612382845, score=0.865982 -   1.5s
[CV] c1=0.0922031143619133, c2=0.051831745941540434 ..................
[CV]  c1=0.0922031143619133, c2=0.051831745941540434, score=0.810739 -   1.3s
[CV] c1=0.5251540762183262, c2=0.0008259475089799535 .................
[CV]  c1=0.5251540762183262, c2=0.0008259475089799535, score=0.838327 -   1.5s
[CV] c1=1.5452170071917972, c2=0.0034733922599257862 .................
[CV]  c1=1.5452170071917972, c2=0.0034733922599257862, score=0.627193 -   1.0s
[CV] c1=0.07318917303347226, c2=0.043704628303572475 .................
[CV]  c1=0.07318917303347226, c2=0.043704628303572475, score=0.845528 -   1.5s
[CV] c1=0.4512039330819079, c2=0.0664590455745935 ....................
[CV]  c1=0.4512039330819079, c2=0.0664590455745935, score=0.730392 -   1.1s
[CV] c1=0.08266914175180354, c2=0.04469453394116177 ..................
[CV]  c1=0.08266914175180354, c2=0.04469453394116177, score=0.855185 -   1.5s
[CV] c1=0.046857775910544325, c2=0.02210971099596652 .................
[CV]  c1=0.046857775910544325, c2=0.02210971099596652, score=0.896900 -   1.5s
[CV] c1=0.18457443189781303, c2=0.07717047861252695 ..................
[CV]  c1=0.18457443189781303, c2=0.07717047861252695, score=0.804667 -   1.4s
[CV] c1=0.10825720797721405, c2=0.052333918375817745 .................
[CV]  c1=0.10825720797721405, c2=0.052333918375817745, score=0.813160 -   1.5s
[CV] c1=0.05639907094422152, c2=0.09849524673681427 ..................
[CV]  c1=0.05639907094422152, c2=0.09849524673681427, score=0.830334 -   1.4s
[CV] c1=0.41269656926075426, c2=0.0039491025783888216 ................
[CV]  c1=0.41269656926075426, c2=0.0039491025783888216, score=0.779399 -   1.4s
[CV] c1=0.1913298339950442, c2=0.025534142397965382 ..................
[CV]  c1=0.1913298339950442, c2=0.025534142397965382, score=0.765434 -   1.1s
[CV] c1=0.11434048634621664, c2=0.051684694445965164 .................
[CV]  c1=0.11434048634621664, c2=0.051684694445965164, score=0.901717 -   1.4s
[CV] c1=0.13890443870027855, c2=0.038851087700596115 .................
[CV]  c1=0.13890443870027855, c2=0.038851087700596115, score=0.841565 -   1.3s
[CV] c1=0.06269040224596414, c2=0.041075089149814545 .................
[CV]  c1=0.06269040224596414, c2=0.041075089149814545, score=0.852159 -   1.1s
[CV] c1=0.08474470875327882, c2=0.030408971224536216 .................
[CV]  c1=0.08474470875327882, c2=0.030408971224536216, score=0.810739 -   1.5s
[CV] c1=0.640542126125638, c2=0.031121991960973164 ...................
[CV]  c1=0.640542126125638, c2=0.031121991960973164, score=0.804911 -   1.5s
[CV] c1=0.08282945862228991, c2=0.070750124740506 ....................
[CV]  c1=0.08282945862228991, c2=0.070750124740506, score=0.844067 -   1.4s
[CV] c1=0.22040965674566113, c2=0.11119204000272409 ..................
[CV]  c1=0.22040965674566113, c2=0.11119204000272409, score=0.793020 -   1.5s
[CV] c1=0.16343469229945168, c2=0.006298796573648223 .................
[CV]  c1=0.16343469229945168, c2=0.006298796573648223, score=0.901717 -   1.4s
[CV] c1=0.06926773671042119, c2=0.07360165014668839 ..................
[CV]  c1=0.06926773671042119, c2=0.07360165014668839, score=0.808350 -   1.4s
[CV] c1=0.4944869275874368, c2=0.007386321028122849 ..................
[CV]  c1=0.4944869275874368, c2=0.007386321028122849, score=0.829007 -   1.5s
[CV] c1=0.4418595165780202, c2=0.034816573728778305 ..................
[CV]  c1=0.4418595165780202, c2=0.034816573728778305, score=0.807600 -   1.5s
[CV] c1=0.08148416755057306, c2=0.11239173988309942 ..................
[CV]  c1=0.08148416755057306, c2=0.11239173988309942, score=0.804667 -   1.4s
[CV] c1=0.3556980133645951, c2=0.009335378722097746 ..................
[CV]  c1=0.3556980133645951, c2=0.009335378722097746, score=0.829007 -   1.5s
[CV] c1=0.255022715532826, c2=0.03170988584613601 ....................
[CV]  c1=0.255022715532826, c2=0.03170988584613601, score=0.734244 -   1.2s
[CV] c1=0.06269040224596414, c2=0.041075089149814545 .................
[CV]  c1=0.06269040224596414, c2=0.041075089149814545, score=0.816317 -   1.2s
[CV] c1=0.41429472037403975, c2=0.05955559509741296 ..................
[CV]  c1=0.41429472037403975, c2=0.05955559509741296, score=0.778534 -   1.4s
[CV] c1=0.18901162075847672, c2=0.04770344316084691 ..................
[CV]  c1=0.18901162075847672, c2=0.04770344316084691, score=0.797534 -   1.4s
[CV] c1=0.987084951241216, c2=0.0009569202342938981 ..................
[CV]  c1=0.987084951241216, c2=0.0009569202342938981, score=0.669242 -   1.2s
[CV] c1=0.5980913865353203, c2=0.05103759336462266 ...................
[CV]  c1=0.5980913865353203, c2=0.05103759336462266, score=0.736159 -   1.2s
[CV] c1=0.046857775910544325, c2=0.02210971099596652 .................
[CV]  c1=0.046857775910544325, c2=0.02210971099596652, score=0.797884 -   1.1s
[CV] c1=0.2032928806618897, c2=0.019470465736444568 ..................
[CV]  c1=0.2032928806618897, c2=0.019470465736444568, score=0.802041 -   1.5s
[CV] c1=0.9257027207651415, c2=0.061336984355358996 ..................
[CV]  c1=0.9257027207651415, c2=0.061336984355358996, score=0.778770 -   1.4s
[CV] c1=0.014200413757939939, c2=0.0008386773263625183 ...............
[CV]  c1=0.014200413757939939, c2=0.0008386773263625183, score=0.828025 -   1.4s
[CV] c1=0.040215868380440827, c2=0.020486733463909366 ................
[CV]  c1=0.040215868380440827, c2=0.020486733463909366, score=0.823117 -   1.5s
[CV] c1=0.019743284987438117, c2=0.010854166711255957 ................
[CV]  c1=0.019743284987438117, c2=0.010854166711255957, score=0.801432 -   1.4s
[CV] c1=0.11434048634621664, c2=0.051684694445965164 .................
[CV]  c1=0.11434048634621664, c2=0.051684694445965164, score=0.849027 -   1.3s
[CV] c1=0.255022715532826, c2=0.03170988584613601 ....................
[CV]  c1=0.255022715532826, c2=0.03170988584613601, score=0.799709 -   1.3s
[CV] c1=0.046491913795292036, c2=0.07199172682693665 .................
[CV]  c1=0.046491913795292036, c2=0.07199172682693665, score=0.785692 -   1.0s
[CV] c1=0.41429472037403975, c2=0.05955559509741296 ..................
[CV]  c1=0.41429472037403975, c2=0.05955559509741296, score=0.891149 -   1.4s
[CV] c1=0.895941101303516, c2=0.026021259577040136 ...................
[CV]  c1=0.895941101303516, c2=0.026021259577040136, score=0.658423 -   1.2s
[CV] c1=0.4512039330819079, c2=0.0664590455745935 ....................
[CV]  c1=0.4512039330819079, c2=0.0664590455745935, score=0.893742 -   1.5s
[CV] c1=0.5980913865353203, c2=0.05103759336462266 ...................
[CV]  c1=0.5980913865353203, c2=0.05103759336462266, score=0.712854 -   1.4s
[CV] c1=0.1494721117010836, c2=0.2771740912743309 ....................
[CV]  c1=0.1494721117010836, c2=0.2771740912743309, score=0.793153 -   1.5s
[CV] c1=0.22928371642062806, c2=0.009882124692458723 .................
[CV]  c1=0.22928371642062806, c2=0.009882124692458723, score=0.847247 -   1.4s
[CV] c1=0.3059113090272354, c2=0.09319447690003411 ...................
[CV]  c1=0.3059113090272354, c2=0.09319447690003411, score=0.854161 -   1.3s
[CV] c1=0.12189112743701508, c2=0.0019963391105565424 ................
[CV]  c1=0.12189112743701508, c2=0.0019963391105565424, score=0.733890 -   1.2s
[CV] c1=0.41269656926075426, c2=0.0039491025783888216 ................
[CV]  c1=0.41269656926075426, c2=0.0039491025783888216, score=0.906231 -   1.5s
[CV] c1=0.0333948746496322, c2=0.052038112280835214 ..................
[CV]  c1=0.0333948746496322, c2=0.052038112280835214, score=0.790268 -   1.1s
[CV] c1=0.01210374342064267, c2=0.11295374377448514 ..................
[CV]  c1=0.01210374342064267, c2=0.11295374377448514, score=0.875580 -   1.4s
[CV] c1=0.023181905723217346, c2=0.12101632940489467 .................
[CV]  c1=0.023181905723217346, c2=0.12101632940489467, score=0.767173 -   1.2s
[CV] c1=0.06269040224596414, c2=0.041075089149814545 .................
[CV]  c1=0.06269040224596414, c2=0.041075089149814545, score=0.857864 -   1.1s
[CV] c1=0.41429472037403975, c2=0.05955559509741296 ..................
[CV]  c1=0.41429472037403975, c2=0.05955559509741296, score=0.740593 -   0.9s
[CV] c1=0.7115671037084563, c2=0.03708034152413422 ...................
[CV]  c1=0.7115671037084563, c2=0.03708034152413422, score=0.815664 -   1.3s
[CV] c1=1.397541473925966, c2=0.02251432817473698 ....................
[CV]  c1=1.397541473925966, c2=0.02251432817473698, score=0.619474 -   1.4s
[CV] c1=0.08266914175180354, c2=0.04469453394116177 ..................
[CV]  c1=0.08266914175180354, c2=0.04469453394116177, score=0.851805 -   1.3s
[CV] c1=0.12463342947858823, c2=0.07529487340608118 ..................
[CV]  c1=0.12463342947858823, c2=0.07529487340608118, score=0.829980 -   1.4s
[CV] c1=0.2032928806618897, c2=0.019470465736444568 ..................
[CV]  c1=0.2032928806618897, c2=0.019470465736444568, score=0.855454 -   1.5s
[CV] c1=0.9257027207651415, c2=0.061336984355358996 ..................
[CV]  c1=0.9257027207651415, c2=0.061336984355358996, score=0.718550 -   1.4s
[CV] c1=0.7878508521641934, c2=0.12043657026105062 ...................
[CV]  c1=0.7878508521641934, c2=0.12043657026105062, score=0.669690 -   1.1s
[CV] c1=0.040215868380440827, c2=0.020486733463909366 ................
[CV]  c1=0.040215868380440827, c2=0.020486733463909366, score=0.895218 -   1.4s
[CV] c1=0.08148416755057306, c2=0.11239173988309942 ..................
[CV]  c1=0.08148416755057306, c2=0.11239173988309942, score=0.769703 -   1.1s
[CV] c1=0.6847535718378905, c2=0.006883141268324009 ..................
[CV]  c1=0.6847535718378905, c2=0.006883141268324009, score=0.810792 -   1.4s
[CV] c1=0.18766145523746972, c2=0.005918521793666152 .................
[CV]  c1=0.18766145523746972, c2=0.005918521793666152, score=0.901717 -   1.5s
[CV] c1=0.7964229161823753, c2=0.03346438652820222 ...................
[CV]  c1=0.7964229161823753, c2=0.03346438652820222, score=0.760743 -   1.4s
[CV] c1=0.8917001802738582, c2=0.014808123678363386 ..................
[CV]  c1=0.8917001802738582, c2=0.014808123678363386, score=0.692971 -   1.2s
[CV] c1=0.07318917303347226, c2=0.043704628303572475 .................
[CV]  c1=0.07318917303347226, c2=0.043704628303572475, score=0.852159 -   1.3s
[CV] c1=0.32789785053211457, c2=0.01132815615835556 ..................
[CV]  c1=0.32789785053211457, c2=0.01132815615835556, score=0.791471 -   1.5s
[CV] c1=0.47126652162463134, c2=0.05933162733570302 ..................
[CV]  c1=0.47126652162463134, c2=0.05933162733570302, score=0.848741 -   1.4s
[CV] c1=0.046857775910544325, c2=0.02210971099596652 .................
[CV]  c1=0.046857775910544325, c2=0.02210971099596652, score=0.846845 -   1.4s
[CV] c1=0.18457443189781303, c2=0.07717047861252695 ..................
[CV]  c1=0.18457443189781303, c2=0.07717047861252695, score=0.859740 -   1.4s
[CV] c1=0.10825720797721405, c2=0.052333918375817745 .................
[CV]  c1=0.10825720797721405, c2=0.052333918375817745, score=0.851805 -   1.4s
[CV] c1=0.7878508521641934, c2=0.12043657026105062 ...................
[CV]  c1=0.7878508521641934, c2=0.12043657026105062, score=0.774596 -   1.5s
[CV] c1=2.031441662478555, c2=0.10774174061059937 ....................
[CV]  c1=2.031441662478555, c2=0.10774174061059937, score=0.544884 -   1.5s
[CV] c1=0.1913298339950442, c2=0.025534142397965382 ..................
[CV]  c1=0.1913298339950442, c2=0.025534142397965382, score=0.806003 -   1.5s
[CV] c1=1.5210075359456365, c2=0.04623910479922095 ...................
[CV]  c1=1.5210075359456365, c2=0.04623910479922095, score=0.645240 -   1.1s
[CV] c1=0.023181905723217346, c2=0.12101632940489467 .................
[CV]  c1=0.023181905723217346, c2=0.12101632940489467, score=0.870376 -   1.4s
[CV] c1=0.04697272729138855, c2=0.013535049129837438 .................
[CV]  c1=0.04697272729138855, c2=0.013535049129837438, score=0.787421 -   0.9s
[CV] c1=0.3103322970153329, c2=0.01707594200577305 ...................
[CV]  c1=0.3103322970153329, c2=0.01707594200577305, score=0.788761 -   1.5s
[CV] c1=0.9593259303527796, c2=0.0593618684695571 ....................
[CV]  c1=0.9593259303527796, c2=0.0593618684695571, score=0.652627 -   1.4s
[CV] c1=0.08266914175180354, c2=0.04469453394116177 ..................
[CV]  c1=0.08266914175180354, c2=0.04469453394116177, score=0.810739 -   1.5s
[CV] c1=0.12463342947858823, c2=0.07529487340608118 ..................
[CV]  c1=0.12463342947858823, c2=0.07529487340608118, score=0.856248 -   1.5s
[CV] c1=0.18457443189781303, c2=0.07717047861252695 ..................
[CV]  c1=0.18457443189781303, c2=0.07717047861252695, score=0.758041 -   1.1s
[CV] c1=0.9257027207651415, c2=0.061336984355358996 ..................
[CV]  c1=0.9257027207651415, c2=0.061336984355358996, score=0.653116 -   1.2s
[CV] c1=0.4944869275874368, c2=0.007386321028122849 ..................
[CV]  c1=0.4944869275874368, c2=0.007386321028122849, score=0.836347 -   1.4s
[CV] c1=0.4418595165780202, c2=0.034816573728778305 ..................
[CV]  c1=0.4418595165780202, c2=0.034816573728778305, score=0.772821 -   1.5s
[CV] c1=0.049470400165740065, c2=0.006490746132808417 ................
[CV]  c1=0.049470400165740065, c2=0.006490746132808417, score=0.859591 -   1.5s
[CV] c1=0.3556980133645951, c2=0.009335378722097746 ..................
[CV]  c1=0.3556980133645951, c2=0.009335378722097746, score=0.770681 -   1.5s
[CV] c1=0.255022715532826, c2=0.03170988584613601 ....................
[CV]  c1=0.255022715532826, c2=0.03170988584613601, score=0.855454 -   1.3s
[CV] c1=0.046491913795292036, c2=0.07199172682693665 .................
[CV]  c1=0.046491913795292036, c2=0.07199172682693665, score=0.844067 -   1.1s
[CV] c1=0.8917001802738582, c2=0.014808123678363386 ..................
[CV]  c1=0.8917001802738582, c2=0.014808123678363386, score=0.868589 -   1.1s
[CV] c1=0.07318917303347226, c2=0.043704628303572475 .................
[CV]  c1=0.07318917303347226, c2=0.043704628303572475, score=0.810739 -   1.4s
[CV] c1=0.32789785053211457, c2=0.01132815615835556 ..................
[CV]  c1=0.32789785053211457, c2=0.01132815615835556, score=0.802023 -   1.5s
[CV] c1=0.5980913865353203, c2=0.05103759336462266 ...................
[CV]  c1=0.5980913865353203, c2=0.05103759336462266, score=0.880076 -   1.5s
[CV] c1=0.1494721117010836, c2=0.2771740912743309 ....................
[CV]  c1=0.1494721117010836, c2=0.2771740912743309, score=0.755101 -   1.2s
[CV] c1=0.18457443189781303, c2=0.07717047861252695 ..................
[CV]  c1=0.18457443189781303, c2=0.07717047861252695, score=0.895214 -   1.5s
[CV] c1=0.10825720797721405, c2=0.052333918375817745 .................
[CV]  c1=0.10825720797721405, c2=0.052333918375817745, score=0.810739 -   1.4s
[CV] c1=0.05639907094422152, c2=0.09849524673681427 ..................
[CV]  c1=0.05639907094422152, c2=0.09849524673681427, score=0.895177 -   1.4s
[CV] c1=0.41269656926075426, c2=0.0039491025783888216 ................
[CV]  c1=0.41269656926075426, c2=0.0039491025783888216, score=0.737424 -   1.1s
[CV] c1=0.019743284987438117, c2=0.010854166711255957 ................
[CV]  c1=0.019743284987438117, c2=0.010854166711255957, score=0.784381 -   1.2s
[CV] c1=0.3556980133645951, c2=0.009335378722097746 ..................
[CV]  c1=0.3556980133645951, c2=0.009335378722097746, score=0.910186 -   1.5s
[CV] c1=0.13890443870027855, c2=0.038851087700596115 .................
[CV]  c1=0.13890443870027855, c2=0.038851087700596115, score=0.810739 -   1.5s
[CV] c1=0.046491913795292036, c2=0.07199172682693665 .................
[CV]  c1=0.046491913795292036, c2=0.07199172682693665, score=0.898730 -   1.2s
[CV] c1=0.43377468889753734, c2=0.05078597277127111 ..................
[CV]  c1=0.43377468889753734, c2=0.05078597277127111, score=0.746684 -   1.2s
[CV] c1=0.18901162075847672, c2=0.04770344316084691 ..................
[CV]  c1=0.18901162075847672, c2=0.04770344316084691, score=0.841565 -   1.3s
[CV] c1=0.4512039330819079, c2=0.0664590455745935 ....................
[CV]  c1=0.4512039330819079, c2=0.0664590455745935, score=0.730628 -   1.6s
[CV] c1=0.6615558539474364, c2=0.029466045166209365 ..................
[CV]  c1=0.6615558539474364, c2=0.029466045166209365, score=0.708930 -   1.2s
[CV] c1=0.4616602516315676, c2=0.11403410871254899 ...................
[CV]  c1=0.4616602516315676, c2=0.11403410871254899, score=0.868343 -   1.4s
[CV] c1=0.22928371642062806, c2=0.009882124692458723 .................
[CV]  c1=0.22928371642062806, c2=0.009882124692458723, score=0.802041 -   1.4s
[CV] c1=0.3059113090272354, c2=0.09319447690003411 ...................
[CV]  c1=0.3059113090272354, c2=0.09319447690003411, score=0.807600 -   1.4s
[CV] c1=1.2801391856489874, c2=0.06301000366598673 ...................
[CV]  c1=1.2801391856489874, c2=0.06301000366598673, score=0.860492 -   1.4s
[CV] c1=0.5880662009096902, c2=0.06375880046194332 ...................
[CV]  c1=0.5880662009096902, c2=0.06375880046194332, score=0.740736 -   1.2s
[CV] c1=0.1913298339950442, c2=0.025534142397965382 ..................
[CV]  c1=0.1913298339950442, c2=0.025534142397965382, score=0.837747 -   1.5s
[CV] c1=0.10905473489880872, c2=0.087110467857846 ....................
[CV]  c1=0.10905473489880872, c2=0.087110467857846, score=0.770254 -   1.1s
[CV] c1=0.009852470540255136, c2=0.04617608907779273 .................
[CV]  c1=0.009852470540255136, c2=0.04617608907779273, score=0.878142 -   1.4s
[CV] c1=0.24850546486357994, c2=0.01895328787823233 ..................
[CV]  c1=0.24850546486357994, c2=0.01895328787823233, score=0.756140 -   0.9s
[CV] c1=0.41429472037403975, c2=0.05955559509741296 ..................
[CV]  c1=0.41429472037403975, c2=0.05955559509741296, score=0.798138 -   1.4s
[CV] c1=0.895941101303516, c2=0.026021259577040136 ...................
[CV]  c1=0.895941101303516, c2=0.026021259577040136, score=0.806379 -   1.3s
[CV] c1=0.987084951241216, c2=0.0009569202342938981 ..................
[CV]  c1=0.987084951241216, c2=0.0009569202342938981, score=0.682134 -   1.5s
[CV] c1=0.6615558539474364, c2=0.029466045166209365 ..................
[CV]  c1=0.6615558539474364, c2=0.029466045166209365, score=0.872615 -   1.4s
[CV] c1=0.40693349667827666, c2=0.13159699894753285 ..................
[CV]  c1=0.40693349667827666, c2=0.13159699894753285, score=0.832413 -   1.4s
[CV] c1=0.2480933915345742, c2=0.01247947968282686 ...................
[CV]  c1=0.2480933915345742, c2=0.01247947968282686, score=0.855454 -   1.4s
[CV] c1=0.503855434973431, c2=0.2608706574689455 .....................
[CV]  c1=0.503855434973431, c2=0.2608706574689455, score=0.761068 -   1.3s
[CV] c1=1.2801391856489874, c2=0.06301000366598673 ...................
[CV]  c1=1.2801391856489874, c2=0.06301000366598673, score=0.643024 -   1.2s
[CV] c1=0.11204837824083991, c2=0.03824320005309311 ..................
[CV]  c1=0.11204837824083991, c2=0.03824320005309311, score=0.898152 -   1.4s
[CV] c1=0.0333948746496322, c2=0.052038112280835214 ..................
[CV]  c1=0.0333948746496322, c2=0.052038112280835214, score=0.899850 -   1.4s
[CV] c1=1.5210075359456365, c2=0.04623910479922095 ...................
[CV]  c1=1.5210075359456365, c2=0.04623910479922095, score=0.820624 -   1.4s
[CV] c1=0.009852470540255136, c2=0.04617608907779273 .................
[CV]  c1=0.009852470540255136, c2=0.04617608907779273, score=0.780684 -   1.1s
[CV] c1=0.046491913795292036, c2=0.07199172682693665 .................
[CV]  c1=0.046491913795292036, c2=0.07199172682693665, score=0.846299 -   1.2s
[CV] c1=0.08474470875327882, c2=0.030408971224536216 .................
[CV]  c1=0.08474470875327882, c2=0.030408971224536216, score=0.805704 -   1.5s
[CV] c1=0.4284142995536537, c2=0.060781512369846205 ..................
[CV]  c1=0.4284142995536537, c2=0.060781512369846205, score=0.739129 -   1.1s
[CV] c1=0.25651297764347886, c2=0.00095727615307465 ..................
[CV]  c1=0.25651297764347886, c2=0.00095727615307465, score=0.801255 -   1.4s
[CV] c1=0.19353877295793048, c2=0.023358415352363868 .................
[CV]  c1=0.19353877295793048, c2=0.023358415352363868, score=0.756944 -   1.2s
[CV] c1=0.40693349667827666, c2=0.13159699894753285 ..................
[CV]  c1=0.40693349667827666, c2=0.13159699894753285, score=0.875804 -   1.4s
[CV] c1=0.2480933915345742, c2=0.01247947968282686 ...................
[CV]  c1=0.2480933915345742, c2=0.01247947968282686, score=0.746272 -   1.1s
[CV] c1=1.7987015183012143, c2=0.04332835625671804 ...................
[CV]  c1=1.7987015183012143, c2=0.04332835625671804, score=0.755221 -   1.3s
[CV] c1=0.05639907094422152, c2=0.09849524673681427 ..................
[CV]  c1=0.05639907094422152, c2=0.09849524673681427, score=0.795015 -   1.4s
[CV] c1=0.41269656926075426, c2=0.0039491025783888216 ................
[CV]  c1=0.41269656926075426, c2=0.0039491025783888216, score=0.807100 -   1.4s
[CV] c1=0.0333948746496322, c2=0.052038112280835214 ..................
[CV]  c1=0.0333948746496322, c2=0.052038112280835214, score=0.818706 -   1.4s
[CV] c1=1.5210075359456365, c2=0.04623910479922095 ...................
[CV]  c1=1.5210075359456365, c2=0.04623910479922095, score=0.612333 -   1.4s
[CV] c1=0.43509226774492976, c2=0.06954576437682423 ..................
[CV]  c1=0.43509226774492976, c2=0.06954576437682423, score=0.748247 -   1.1s
[CV] c1=0.04697272729138855, c2=0.013535049129837438 .................
[CV]  c1=0.04697272729138855, c2=0.013535049129837438, score=0.837415 -   1.0s
[CV] c1=0.1898539440156982, c2=0.014769296470836517 ..................
[CV]  c1=0.1898539440156982, c2=0.014769296470836517, score=0.793884 -   1.4s
[CV] c1=0.4284142995536537, c2=0.060781512369846205 ..................
[CV]  c1=0.4284142995536537, c2=0.060781512369846205, score=0.756997 -   1.5s
[CV] c1=0.08282945862228991, c2=0.070750124740506 ....................
[CV]  c1=0.08282945862228991, c2=0.070750124740506, score=0.855185 -   1.5s
[CV] c1=1.5101957938084098, c2=0.0245827616850869 ....................
[CV]  c1=1.5101957938084098, c2=0.0245827616850869, score=0.612333 -   1.4s
[CV] c1=0.2032928806618897, c2=0.019470465736444568 ..................
[CV]  c1=0.2032928806618897, c2=0.019470465736444568, score=0.901717 -   1.5s
[CV] c1=0.9257027207651415, c2=0.061336984355358996 ..................
[CV]  c1=0.9257027207651415, c2=0.061336984355358996, score=0.665558 -   1.5s
[CV] c1=0.014200413757939939, c2=0.0008386773263625183 ...............
[CV]  c1=0.014200413757939939, c2=0.0008386773263625183, score=0.869815 -   1.4s
[CV] c1=2.031441662478555, c2=0.10774174061059937 ....................
[CV]  c1=2.031441662478555, c2=0.10774174061059937, score=0.583545 -   1.3s
[CV] c1=0.08148416755057306, c2=0.11239173988309942 ..................
[CV]  c1=0.08148416755057306, c2=0.11239173988309942, score=0.844067 -   1.3s
[CV] c1=0.3556980133645951, c2=0.009335378722097746 ..................
[CV]  c1=0.3556980133645951, c2=0.009335378722097746, score=0.855454 -   1.5s
[CV] c1=0.13890443870027855, c2=0.038851087700596115 .................
[CV]  c1=0.13890443870027855, c2=0.038851087700596115, score=0.822747 -   1.5s
[CV] c1=0.046491913795292036, c2=0.07199172682693665 .................
[CV]  c1=0.046491913795292036, c2=0.07199172682693665, score=0.810739 -   1.2s
[CV] c1=1.5452170071917972, c2=0.0034733922599257862 .................
[CV]  c1=1.5452170071917972, c2=0.0034733922599257862, score=0.848209 -   1.3s
[CV] c1=0.895941101303516, c2=0.026021259577040136 ...................
[CV]  c1=0.895941101303516, c2=0.026021259577040136, score=0.873488 -   1.3s
[CV] c1=0.4512039330819079, c2=0.0664590455745935 ....................
[CV]  c1=0.4512039330819079, c2=0.0664590455745935, score=0.792761 -   1.5s
[CV] c1=0.9184236149053802, c2=0.005843205796814665 ..................
[CV]  c1=0.9184236149053802, c2=0.005843205796814665, score=0.664848 -   1.1s
[CV] c1=0.046857775910544325, c2=0.02210971099596652 .................
[CV]  c1=0.046857775910544325, c2=0.02210971099596652, score=0.843356 -   1.5s
[CV] c1=0.4638720999424967, c2=0.004263127131015308 ..................
[CV]  c1=0.4638720999424967, c2=0.004263127131015308, score=0.741756 -   1.1s
[CV] c1=0.10825720797721405, c2=0.052333918375817745 .................
[CV]  c1=0.10825720797721405, c2=0.052333918375817745, score=0.889771 -   1.4s
[CV] c1=0.7878508521641934, c2=0.12043657026105062 ...................
[CV]  c1=0.7878508521641934, c2=0.12043657026105062, score=0.669082 -   1.4s
[CV] c1=2.031441662478555, c2=0.10774174061059937 ....................
[CV]  c1=2.031441662478555, c2=0.10774174061059937, score=0.599232 -   1.4s
[CV] c1=0.1913298339950442, c2=0.025534142397965382 ..................
[CV]  c1=0.1913298339950442, c2=0.025534142397965382, score=0.901717 -   1.5s
[CV] c1=0.01210374342064267, c2=0.11295374377448514 ..................
[CV]  c1=0.01210374342064267, c2=0.11295374377448514, score=0.849381 -   1.4s
[CV] c1=0.023181905723217346, c2=0.12101632940489467 .................
[CV]  c1=0.023181905723217346, c2=0.12101632940489467, score=0.849381 -   1.3s
[CV] c1=0.04697272729138855, c2=0.013535049129837438 .................
[CV]  c1=0.04697272729138855, c2=0.013535049129837438, score=0.810739 -   1.1s
[CV] c1=1.5452170071917972, c2=0.0034733922599257862 .................
[CV]  c1=1.5452170071917972, c2=0.0034733922599257862, score=0.632467 -   1.4s
[CV] c1=0.895941101303516, c2=0.026021259577040136 ...................
[CV]  c1=0.895941101303516, c2=0.026021259577040136, score=0.677808 -   1.4s
[CV] c1=0.25651297764347886, c2=0.00095727615307465 ..................
[CV]  c1=0.25651297764347886, c2=0.00095727615307465, score=0.734173 -   1.1s
[CV] c1=0.5980913865353203, c2=0.05103759336462266 ...................
[CV]  c1=0.5980913865353203, c2=0.05103759336462266, score=0.809792 -   1.4s
[CV] c1=0.1494721117010836, c2=0.2771740912743309 ....................
[CV]  c1=0.1494721117010836, c2=0.2771740912743309, score=0.742030 -   1.5s
[CV] c1=0.22928371642062806, c2=0.009882124692458723 .................
[CV]  c1=0.22928371642062806, c2=0.009882124692458723, score=0.755690 -   1.2s
[CV] c1=1.7987015183012143, c2=0.04332835625671804 ...................
[CV]  c1=1.7987015183012143, c2=0.04332835625671804, score=0.591964 -   1.2s
[CV] c1=0.7878508521641934, c2=0.12043657026105062 ...................
[CV]  c1=0.7878508521641934, c2=0.12043657026105062, score=0.869395 -   1.5s
[CV] c1=2.031441662478555, c2=0.10774174061059937 ....................
[CV]  c1=2.031441662478555, c2=0.10774174061059937, score=0.694211 -   1.4s
[CV] c1=0.019743284987438117, c2=0.010854166711255957 ................
[CV]  c1=0.019743284987438117, c2=0.010854166711255957, score=0.836245 -   1.5s
[CV] c1=0.01210374342064267, c2=0.11295374377448514 ..................
[CV]  c1=0.01210374342064267, c2=0.11295374377448514, score=0.781868 -   1.2s
[CV] c1=0.255022715532826, c2=0.03170988584613601 ....................
[CV]  c1=0.255022715532826, c2=0.03170988584613601, score=0.912049 -   1.6s
[CV] c1=0.04697272729138855, c2=0.013535049129837438 .................
[CV]  c1=0.04697272729138855, c2=0.013535049129837438, score=0.850791 -   1.0s
[CV] c1=0.43377468889753734, c2=0.05078597277127111 ..................
[CV]  c1=0.43377468889753734, c2=0.05078597277127111, score=0.764023 -   1.5s
[CV] c1=0.03917965343114625, c2=0.023602721515687507 .................
[CV]  c1=0.03917965343114625, c2=0.023602721515687507, score=0.801635 -   1.4s
[CV] c1=0.03429630205406427, c2=0.014732465714199708 .................
[CV]  c1=0.03429630205406427, c2=0.014732465714199708, score=0.804161 -   1.1s
[CV] c1=0.9184236149053802, c2=0.005843205796814665 ..................
[CV]  c1=0.9184236149053802, c2=0.005843205796814665, score=0.816508 -   1.4s
[CV] c1=0.4616602516315676, c2=0.11403410871254899 ...................
[CV]  c1=0.4616602516315676, c2=0.11403410871254899, score=0.839477 -   1.3s
[CV] c1=0.4638720999424967, c2=0.004263127131015308 ..................
[CV]  c1=0.4638720999424967, c2=0.004263127131015308, score=0.829007 -   1.4s
[CV] c1=0.3059113090272354, c2=0.09319447690003411 ...................
[CV]  c1=0.3059113090272354, c2=0.09319447690003411, score=0.886746 -   1.4s
[CV] c1=0.12189112743701508, c2=0.0019963391105565424 ................
[CV]  c1=0.12189112743701508, c2=0.0019963391105565424, score=0.891620 -   1.4s
[CV] c1=0.11204837824083991, c2=0.03824320005309311 ..................
[CV]  c1=0.11204837824083991, c2=0.03824320005309311, score=0.747984 -   1.1s
[CV] c1=0.019743284987438117, c2=0.010854166711255957 ................
[CV]  c1=0.019743284987438117, c2=0.010854166711255957, score=0.839940 -   1.3s
[CV] c1=0.11434048634621664, c2=0.051684694445965164 .................
[CV]  c1=0.11434048634621664, c2=0.051684694445965164, score=0.808350 -   1.5s
[CV] c1=0.255022715532826, c2=0.03170988584613601 ....................
[CV]  c1=0.255022715532826, c2=0.03170988584613601, score=0.811184 -   1.4s
[CV] c1=0.04697272729138855, c2=0.013535049129837438 .................
[CV]  c1=0.04697272729138855, c2=0.013535049129837438, score=0.896513 -   1.1s
[CV] c1=0.43377468889753734, c2=0.05078597277127111 ..................
[CV]  c1=0.43377468889753734, c2=0.05078597277127111, score=0.792761 -   1.5s
[CV] c1=0.640542126125638, c2=0.031121991960973164 ...................
[CV]  c1=0.640542126125638, c2=0.031121991960973164, score=0.735493 -   1.0s
[CV] c1=0.987084951241216, c2=0.0009569202342938981 ..................
[CV]  c1=0.987084951241216, c2=0.0009569202342938981, score=0.796846 -   1.4s
[CV] c1=0.9184236149053802, c2=0.005843205796814665 ..................
[CV]  c1=0.9184236149053802, c2=0.005843205796814665, score=0.678843 -   1.4s
[CV] c1=0.4616602516315676, c2=0.11403410871254899 ...................
[CV]  c1=0.4616602516315676, c2=0.11403410871254899, score=0.792761 -   1.5s
[CV] c1=0.2480933915345742, c2=0.01247947968282686 ...................
[CV]  c1=0.2480933915345742, c2=0.01247947968282686, score=0.901717 -   1.4s
[CV] c1=0.503855434973431, c2=0.2608706574689455 .....................
[CV]  c1=0.503855434973431, c2=0.2608706574689455, score=0.720743 -   1.2s
[CV] c1=0.12189112743701508, c2=0.0019963391105565424 ................
[CV]  c1=0.12189112743701508, c2=0.0019963391105565424, score=0.802365 -   1.4s
[CV] c1=0.5880662009096902, c2=0.06375880046194332 ...................
[CV]  c1=0.5880662009096902, c2=0.06375880046194332, score=0.885090 -   1.4s
[CV] c1=1.8557358021636225, c2=0.06295572249500037 ...................
[CV]  c1=1.8557358021636225, c2=0.06295572249500037, score=0.591964 -   1.2s
[CV] c1=0.01210374342064267, c2=0.11295374377448514 ..................
[CV]  c1=0.01210374342064267, c2=0.11295374377448514, score=0.847928 -   1.5s
[CV] c1=0.009852470540255136, c2=0.04617608907779273 .................
[CV]  c1=0.009852470540255136, c2=0.04617608907779273, score=0.849381 -   1.4s
[CV] c1=0.24850546486357994, c2=0.01895328787823233 ..................
[CV]  c1=0.24850546486357994, c2=0.01895328787823233, score=0.799709 -   1.0s
[CV] c1=0.9239175547371826, c2=0.04031603322344472 ...................
[CV]  c1=0.9239175547371826, c2=0.04031603322344472, score=0.868589 -   1.2s
[CV] c1=0.07318917303347226, c2=0.043704628303572475 .................
[CV]  c1=0.07318917303347226, c2=0.043704628303572475, score=0.906495 -   1.4s
[CV] c1=0.32789785053211457, c2=0.01132815615835556 ..................
[CV]  c1=0.32789785053211457, c2=0.01132815615835556, score=0.910186 -   1.5s
[CV] c1=0.47126652162463134, c2=0.05933162733570302 ..................
[CV]  c1=0.47126652162463134, c2=0.05933162733570302, score=0.742194 -   1.1s
[CV] c1=0.12463342947858823, c2=0.07529487340608118 ..................
[CV]  c1=0.12463342947858823, c2=0.07529487340608118, score=0.897326 -   1.4s
[CV] c1=0.2032928806618897, c2=0.019470465736444568 ..................
[CV]  c1=0.2032928806618897, c2=0.019470465736444568, score=0.730014 -   1.2s
[CV] c1=0.06926773671042119, c2=0.07360165014668839 ..................
[CV]  c1=0.06926773671042119, c2=0.07360165014668839, score=0.899850 -   1.4s
[CV] c1=0.4944869275874368, c2=0.007386321028122849 ..................
[CV]  c1=0.4944869275874368, c2=0.007386321028122849, score=0.742698 -   1.5s
[CV] c1=0.040215868380440827, c2=0.020486733463909366 ................
[CV]  c1=0.040215868380440827, c2=0.020486733463909366, score=0.818706 -   1.5s
[CV] c1=0.08148416755057306, c2=0.11239173988309942 ..................
[CV]  c1=0.08148416755057306, c2=0.11239173988309942, score=0.852662 -   1.5s
[CV] c1=0.11434048634621664, c2=0.051684694445965164 .................
[CV]  c1=0.11434048634621664, c2=0.051684694445965164, score=0.783374 -   1.5s
[CV] c1=0.023181905723217346, c2=0.12101632940489467 .................
[CV]  c1=0.023181905723217346, c2=0.12101632940489467, score=0.788775 -   1.5s
[CV] c1=0.24850546486357994, c2=0.01895328787823233 ..................
[CV]  c1=0.24850546486357994, c2=0.01895328787823233, score=0.901717 -   1.1s
[CV] c1=0.9239175547371826, c2=0.04031603322344472 ...................
[CV]  c1=0.9239175547371826, c2=0.04031603322344472, score=0.672639 -   1.1s
[CV] c1=0.7115671037084563, c2=0.03708034152413422 ...................
[CV]  c1=0.7115671037084563, c2=0.03708034152413422, score=0.804911 -   1.5s
[CV] c1=0.32789785053211457, c2=0.01132815615835556 ..................
[CV]  c1=0.32789785053211457, c2=0.01132815615835556, score=0.857757 -   1.5s
[CV] c1=0.47126652162463134, c2=0.05933162733570302 ..................
[CV]  c1=0.47126652162463134, c2=0.05933162733570302, score=0.798979 -   1.5s
[CV] c1=0.1494721117010836, c2=0.2771740912743309 ....................
[CV]  c1=0.1494721117010836, c2=0.2771740912743309, score=0.812944 -   1.4s
[CV] c1=0.4638720999424967, c2=0.004263127131015308 ..................
[CV]  c1=0.4638720999424967, c2=0.004263127131015308, score=0.863544 -   1.5s
[CV] c1=0.3059113090272354, c2=0.09319447690003411 ...................
[CV]  c1=0.3059113090272354, c2=0.09319447690003411, score=0.742621 -   1.1s
[CV] c1=0.7878508521641934, c2=0.12043657026105062 ...................
[CV]  c1=0.7878508521641934, c2=0.12043657026105062, score=0.776295 -   1.5s
[CV] c1=0.41269656926075426, c2=0.0039491025783888216 ................
[CV]  c1=0.41269656926075426, c2=0.0039491025783888216, score=0.860520 -   1.4s
[CV] c1=0.1913298339950442, c2=0.025534142397965382 ..................
[CV]  c1=0.1913298339950442, c2=0.025534142397965382, score=0.855454 -   1.4s
[CV] c1=0.01210374342064267, c2=0.11295374377448514 ..................
[CV]  c1=0.01210374342064267, c2=0.11295374377448514, score=0.794847 -   1.4s
[CV] c1=0.023181905723217346, c2=0.12101632940489467 .................
[CV]  c1=0.023181905723217346, c2=0.12101632940489467, score=0.775930 -   1.5s
[CV] c1=0.24850546486357994, c2=0.01895328787823233 ..................
[CV]  c1=0.24850546486357994, c2=0.01895328787823233, score=0.855454 -   1.0s
Training done in: 19.839602s
     Saving training model...
        Saving training model done in: 0.013575s
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Prediction done in: 0.032043s