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

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Run2_v10.txt 72.5 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: Run2
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: FalseS4: 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: 0.003735s
-------------------------------- 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]      :
--------------------------- 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
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.7410750725067845, c2=0.05669011378002567 ...................
[CV]  c1=0.7410750725067845, c2=0.05669011378002567, score=0.745507 -   1.2s
[CV] c1=0.7022682670923495, c2=0.044821078367516275 ..................
[CV]  c1=0.7022682670923495, c2=0.044821078367516275, score=0.696616 -   1.0s
[CV] c1=0.6549939384182106, c2=0.016146984330623046 ..................
[CV]  c1=0.6549939384182106, c2=0.016146984330623046, score=0.815973 -   1.3s
[CV] c1=0.4722333442301281, c2=0.019701716184538018 ..................
[CV]  c1=0.4722333442301281, c2=0.019701716184538018, score=0.710693 -   1.0s
[CV] c1=0.1860718780380681, c2=0.1770944755789403 ....................
[CV]  c1=0.1860718780380681, c2=0.1770944755789403, score=0.745339 -   1.3s
[CV] c1=1.8391795325749447, c2=0.046414370469705236 ..................
[CV]  c1=1.8391795325749447, c2=0.046414370469705236, score=0.642498 -   1.2s
[CV] c1=0.35007933493290333, c2=0.004692427979259495 .................
[CV]  c1=0.35007933493290333, c2=0.004692427979259495, score=0.881231 -   1.2s
[CV] c1=0.03575133696140669, c2=0.059714640071334826 .................
[CV]  c1=0.03575133696140669, c2=0.059714640071334826, score=0.882871 -   1.2s
[CV] c1=0.4441243002114684, c2=0.007689612134806405 ..................
[CV]  c1=0.4441243002114684, c2=0.007689612134806405, score=0.881566 -   1.2s
[CV] c1=0.2760326568282449, c2=0.03434061917588028 ...................
[CV]  c1=0.2760326568282449, c2=0.03434061917588028, score=0.792808 -   1.2s
[CV] c1=0.84990341264485, c2=0.0008993422869333322 ...................
[CV]  c1=0.84990341264485, c2=0.0008993422869333322, score=0.773285 -   1.2s
[CV] c1=0.6728205259828046, c2=0.10122521670720185 ...................
[CV]  c1=0.6728205259828046, c2=0.10122521670720185, score=0.826649 -   1.2s
[CV] c1=0.07040608262508771, c2=0.0673817367564541 ...................
[CV]  c1=0.07040608262508771, c2=0.0673817367564541, score=0.813590 -   1.2s
[CV] c1=0.09600068598707812, c2=0.013899168980296842 .................
[CV]  c1=0.09600068598707812, c2=0.013899168980296842, score=0.834752 -   1.3s
[CV] c1=0.10140424215578851, c2=0.02637619801595504 ..................
[CV]  c1=0.10140424215578851, c2=0.02637619801595504, score=0.882395 -   1.3s
[CV] c1=0.5376623170157763, c2=0.03165269509902246 ...................
[CV]  c1=0.5376623170157763, c2=0.03165269509902246, score=0.791731 -   1.3s
[CV] c1=0.2492924363697574, c2=0.13935545214126396 ...................
[CV]  c1=0.2492924363697574, c2=0.13935545214126396, score=0.760494 -   1.3s
[CV] c1=0.039234696236588464, c2=0.052749896394029244 ................
[CV]  c1=0.039234696236588464, c2=0.052749896394029244, score=0.732423 -   1.0s
[CV] c1=0.5184533252723038, c2=0.15431291471689979 ...................
[CV]  c1=0.5184533252723038, c2=0.15431291471689979, score=0.658026 -   1.0s
[CV] c1=0.08809632353541673, c2=0.026164910631421776 .................
[CV]  c1=0.08809632353541673, c2=0.026164910631421776, score=0.811368 -   1.2s
[CV] c1=0.2673711734184126, c2=0.25388739049485815 ...................
[CV]  c1=0.2673711734184126, c2=0.25388739049485815, score=0.757909 -   1.2s
[CV] c1=0.2760326568282449, c2=0.03434061917588028 ...................
[CV]  c1=0.2760326568282449, c2=0.03434061917588028, score=0.808970 -   1.3s
[CV] c1=0.8696903923816212, c2=0.029222524693410547 ..................
[CV]  c1=0.8696903923816212, c2=0.029222524693410547, score=0.659076 -   1.0s
[CV] c1=0.37946035512402415, c2=0.04479664060509611 ..................
[CV]  c1=0.37946035512402415, c2=0.04479664060509611, score=0.807651 -   1.3s
[CV] c1=0.5202731724583843, c2=0.0008416186654981501 .................
[CV]  c1=0.5202731724583843, c2=0.0008416186654981501, score=0.814904 -   1.1s
[CV] c1=0.09600068598707812, c2=0.013899168980296842 .................
[CV]  c1=0.09600068598707812, c2=0.013899168980296842, score=0.786020 -   1.3s
[CV] c1=0.10140424215578851, c2=0.02637619801595504 ..................
[CV]  c1=0.10140424215578851, c2=0.02637619801595504, score=0.817867 -   1.3s
[CV] c1=0.4722333442301281, c2=0.019701716184538018 ..................
[CV]  c1=0.4722333442301281, c2=0.019701716184538018, score=0.798182 -   1.2s
[CV] c1=0.23600947592727128, c2=0.12260295653224032 ..................
[CV]  c1=0.23600947592727128, c2=0.12260295653224032, score=0.861453 -   1.3s
[CV] c1=0.039234696236588464, c2=0.052749896394029244 ................
[CV]  c1=0.039234696236588464, c2=0.052749896394029244, score=0.876442 -   1.2s
[CV] c1=0.5184533252723038, c2=0.15431291471689979 ...................
[CV]  c1=0.5184533252723038, c2=0.15431291471689979, score=0.769042 -   1.2s
[CV] c1=0.9029290343464701, c2=0.05543936931420188 ...................
[CV]  c1=0.9029290343464701, c2=0.05543936931420188, score=0.812591 -   1.2s
[CV] c1=1.8254974575115588, c2=0.11870560296784712 ...................
[CV]  c1=1.8254974575115588, c2=0.11870560296784712, score=0.739564 -   1.2s
[CV] c1=0.10569584150377609, c2=0.04532535668398834 ..................
[CV]  c1=0.10569584150377609, c2=0.04532535668398834, score=0.697804 -   1.0s
[CV] c1=0.8696903923816212, c2=0.029222524693410547 ..................
[CV]  c1=0.8696903923816212, c2=0.029222524693410547, score=0.688938 -   1.3s
[CV] c1=0.7085126989732035, c2=0.006901197074347972 ..................
[CV]  c1=0.7085126989732035, c2=0.006901197074347972, score=0.695635 -   1.0s
[CV] c1=0.19023609844607728, c2=0.014299123139669821 .................
[CV]  c1=0.19023609844607728, c2=0.014299123139669821, score=0.819526 -   1.2s
[CV] c1=0.9816345515016357, c2=0.01849475940746483 ...................
[CV]  c1=0.9816345515016357, c2=0.01849475940746483, score=0.830252 -   1.2s
[CV] c1=0.056610259590950236, c2=0.08246459754361295 .................
[CV]  c1=0.056610259590950236, c2=0.08246459754361295, score=0.822384 -   1.4s
[CV] c1=0.38035823638965893, c2=0.027823671325239482 .................
[CV]  c1=0.38035823638965893, c2=0.027823671325239482, score=0.804519 -   1.2s
[CV] c1=0.7744267407940464, c2=0.031364629683681096 ..................
[CV]  c1=0.7744267407940464, c2=0.031364629683681096, score=0.693275 -   1.3s
[CV] c1=1.712602307538521, c2=0.025614638268012697 ...................
[CV]  c1=1.712602307538521, c2=0.025614638268012697, score=0.531876 -   1.1s
[CV] c1=0.7408359851743948, c2=0.006969535735520924 ..................
[CV]  c1=0.7408359851743948, c2=0.006969535735520924, score=0.785587 -   1.4s
[CV] c1=0.22320196368993245, c2=0.026843120015096707 .................
[CV]  c1=0.22320196368993245, c2=0.026843120015096707, score=0.794258 -   1.3s
[CV] c1=0.2673711734184126, c2=0.25388739049485815 ...................
[CV]  c1=0.2673711734184126, c2=0.25388739049485815, score=0.847272 -   1.3s
[CV] c1=0.2760326568282449, c2=0.03434061917588028 ...................
[CV]  c1=0.2760326568282449, c2=0.03434061917588028, score=0.725541 -   1.1s
[CV] c1=0.3737675915768977, c2=0.026070472362440134 ..................
[CV]  c1=0.3737675915768977, c2=0.026070472362440134, score=0.768876 -   1.4s
[CV] c1=0.6728205259828046, c2=0.10122521670720185 ...................
[CV]  c1=0.6728205259828046, c2=0.10122521670720185, score=0.724200 -   1.2s
[CV] c1=0.19023609844607728, c2=0.014299123139669821 .................
[CV]  c1=0.19023609844607728, c2=0.014299123139669821, score=0.811368 -   1.1s
[CV] c1=0.6701522375597455, c2=0.08483700023222884 ...................
[CV]  c1=0.6701522375597455, c2=0.08483700023222884, score=0.787638 -   1.3s
[CV] c1=0.056610259590950236, c2=0.08246459754361295 .................
[CV]  c1=0.056610259590950236, c2=0.08246459754361295, score=0.732286 -   1.1s
[CV] c1=0.5254782946032572, c2=0.04949076095320749 ...................
[CV]  c1=0.5254782946032572, c2=0.04949076095320749, score=0.770241 -   1.2s
[CV] c1=0.15749139990758318, c2=0.010151515877192077 .................
[CV]  c1=0.15749139990758318, c2=0.010151515877192077, score=0.802040 -   1.3s
[CV] c1=0.6697544056829773, c2=0.019169485489190008 ..................
[CV]  c1=0.6697544056829773, c2=0.019169485489190008, score=0.820108 -   1.2s
[CV] c1=0.7408359851743948, c2=0.006969535735520924 ..................
[CV]  c1=0.7408359851743948, c2=0.006969535735520924, score=0.811450 -   1.3s
[CV] c1=0.1962472901855242, c2=0.01057120863961361 ...................
[CV]  c1=0.1962472901855242, c2=0.01057120863961361, score=0.806937 -   1.3s
[CV] c1=1.3049260444190587, c2=0.00645914858387347 ...................
[CV]  c1=1.3049260444190587, c2=0.00645914858387347, score=0.810910 -   1.3s
[CV] c1=0.6941823606996005, c2=0.020475995301665464 ..................
[CV]  c1=0.6941823606996005, c2=0.020475995301665464, score=0.698610 -   1.0s
[CV] c1=0.2234149043486308, c2=0.01878456810972893 ...................
[CV]  c1=0.2234149043486308, c2=0.01878456810972893, score=0.725541 -   1.0s
[CV] c1=0.17032720705327886, c2=0.01618217985244858 ..................
[CV]  c1=0.17032720705327886, c2=0.01618217985244858, score=0.704959 -   0.9s
[CV] c1=1.9604318010750377, c2=0.007332122236081817 ..................
[CV]  c1=1.9604318010750377, c2=0.007332122236081817, score=0.502440 -   1.1s
[CV] c1=1.1123503234331973, c2=0.04688865155939009 ...................
[CV]  c1=1.1123503234331973, c2=0.04688865155939009, score=0.654703 -   1.3s
[CV] c1=0.117214622648615, c2=0.020324649762193225 ...................
[CV]  c1=0.117214622648615, c2=0.020324649762193225, score=0.785358 -   1.3s
[CV] c1=0.4624058286518351, c2=0.010459686890350983 ..................
[CV]  c1=0.4624058286518351, c2=0.010459686890350983, score=0.753215 -   1.4s
[CV] c1=0.5376623170157763, c2=0.03165269509902246 ...................
[CV]  c1=0.5376623170157763, c2=0.03165269509902246, score=0.756238 -   1.2s
[CV] c1=0.6114893927817746, c2=0.01346223136352167 ...................
[CV]  c1=0.6114893927817746, c2=0.01346223136352167, score=0.750292 -   1.2s
[CV] c1=0.9708290603109275, c2=0.01970417969913912 ...................
[CV]  c1=0.9708290603109275, c2=0.01970417969913912, score=0.740176 -   1.2s
[CV] c1=0.35007933493290333, c2=0.004692427979259495 .................
[CV]  c1=0.35007933493290333, c2=0.004692427979259495, score=0.713380 -   1.0s
[CV] c1=0.44321564096984184, c2=0.06001467363316171 ..................
[CV]  c1=0.44321564096984184, c2=0.06001467363316171, score=0.783967 -   1.3s
[CV] c1=0.2673711734184126, c2=0.25388739049485815 ...................
[CV]  c1=0.2673711734184126, c2=0.25388739049485815, score=0.725460 -   1.3s
[CV] c1=0.16891770381810195, c2=0.03297891804152097 ..................
[CV]  c1=0.16891770381810195, c2=0.03297891804152097, score=0.689796 -   1.0s
[CV] c1=0.3737675915768977, c2=0.026070472362440134 ..................
[CV]  c1=0.3737675915768977, c2=0.026070472362440134, score=0.827406 -   1.3s
[CV] c1=0.6728205259828046, c2=0.10122521670720185 ...................
[CV]  c1=0.6728205259828046, c2=0.10122521670720185, score=0.692858 -   1.3s
[CV] c1=0.07040608262508771, c2=0.0673817367564541 ...................
[CV]  c1=0.07040608262508771, c2=0.0673817367564541, score=0.882871 -   1.3s
[CV] c1=0.09600068598707812, c2=0.013899168980296842 .................
[CV]  c1=0.09600068598707812, c2=0.013899168980296842, score=0.681576 -   1.0s
[CV] c1=0.03606063365558904, c2=0.03617302028693284 ..................
[CV]  c1=0.03606063365558904, c2=0.03617302028693284, score=0.903563 -   1.2s
[CV] c1=0.5644723829856853, c2=0.03897673998313579 ...................
[CV]  c1=0.5644723829856853, c2=0.03897673998313579, score=0.735577 -   1.3s
[CV] c1=0.1860718780380681, c2=0.1770944755789403 ....................
[CV]  c1=0.1860718780380681, c2=0.1770944755789403, score=0.838072 -   1.3s
[CV] c1=0.9708290603109275, c2=0.01970417969913912 ...................
[CV]  c1=0.9708290603109275, c2=0.01970417969913912, score=0.836208 -   1.3s
[CV] c1=0.35007933493290333, c2=0.004692427979259495 .................
[CV]  c1=0.35007933493290333, c2=0.004692427979259495, score=0.810478 -   1.2s
[CV] c1=0.03575133696140669, c2=0.059714640071334826 .................
[CV]  c1=0.03575133696140669, c2=0.059714640071334826, score=0.773101 -   1.3s
[CV] c1=0.13601471903217963, c2=0.016061118577807513 .................
[CV]  c1=0.13601471903217963, c2=0.016061118577807513, score=0.829462 -   1.3s
[CV] c1=0.09711937383593225, c2=0.04169604714441979 ..................
[CV]  c1=0.09711937383593225, c2=0.04169604714441979, score=0.813590 -   1.2s
[CV] c1=0.5415821322754776, c2=0.017443681574278485 ..................
[CV]  c1=0.5415821322754776, c2=0.017443681574278485, score=0.723954 -   1.3s
[CV] c1=0.5342073028428859, c2=0.0680698931713967 ....................
[CV]  c1=0.5342073028428859, c2=0.0680698931713967, score=0.701676 -   0.9s
[CV] c1=1.1123503234331973, c2=0.04688865155939009 ...................
[CV]  c1=1.1123503234331973, c2=0.04688865155939009, score=0.615266 -   1.3s
[CV] c1=0.09600068598707812, c2=0.013899168980296842 .................
[CV]  c1=0.09600068598707812, c2=0.013899168980296842, score=0.877924 -   1.2s
[CV] c1=0.6549939384182106, c2=0.016146984330623046 ..................
[CV]  c1=0.6549939384182106, c2=0.016146984330623046, score=0.724177 -   1.4s
[CV] c1=0.4722333442301281, c2=0.019701716184538018 ..................
[CV]  c1=0.4722333442301281, c2=0.019701716184538018, score=0.803710 -   1.2s
[CV] c1=0.23600947592727128, c2=0.12260295653224032 ..................
[CV]  c1=0.23600947592727128, c2=0.12260295653224032, score=0.679722 -   1.1s
[CV] c1=0.9708290603109275, c2=0.01970417969913912 ...................
[CV]  c1=0.9708290603109275, c2=0.01970417969913912, score=0.673986 -   1.2s
[CV] c1=0.35007933493290333, c2=0.004692427979259495 .................
[CV]  c1=0.35007933493290333, c2=0.004692427979259495, score=0.816096 -   1.2s
[CV] c1=0.03575133696140669, c2=0.059714640071334826 .................
[CV]  c1=0.03575133696140669, c2=0.059714640071334826, score=0.808630 -   1.2s
[CV] c1=0.4441243002114684, c2=0.007689612134806405 ..................
[CV]  c1=0.4441243002114684, c2=0.007689612134806405, score=0.814904 -   1.2s
[CV] c1=0.16891770381810195, c2=0.03297891804152097 ..................
[CV]  c1=0.16891770381810195, c2=0.03297891804152097, score=0.801046 -   1.3s
[CV] c1=0.5415821322754776, c2=0.017443681574278485 ..................
[CV]  c1=0.5415821322754776, c2=0.017443681574278485, score=0.712028 -   1.0s
[CV] c1=0.6728205259828046, c2=0.10122521670720185 ...................
[CV]  c1=0.6728205259828046, c2=0.10122521670720185, score=0.762682 -   1.3s
[CV] c1=0.9353511917566533, c2=0.007486552121014779 ..................
[CV]  c1=0.9353511917566533, c2=0.007486552121014779, score=0.834510 -   1.1s
[CV] c1=0.09177221429781575, c2=0.0016433566726188735 ................
[CV]  c1=0.09177221429781575, c2=0.0016433566726188735, score=0.888007 -   1.2s
[CV] c1=0.056610259590950236, c2=0.08246459754361295 .................
[CV]  c1=0.056610259590950236, c2=0.08246459754361295, score=0.813590 -   1.3s
[CV] c1=0.011352300404393029, c2=0.06102124341797182 .................
[CV]  c1=0.011352300404393029, c2=0.06102124341797182, score=0.813590 -   1.2s
[CV] c1=0.07282759335197375, c2=0.09137606359763323 ..................
[CV]  c1=0.07282759335197375, c2=0.09137606359763323, score=0.775701 -   1.3s
[CV] c1=0.6245730072310559, c2=0.0098004715482529 ....................
[CV]  c1=0.6245730072310559, c2=0.0098004715482529, score=0.721663 -   1.3s
[CV] c1=0.033861923538129626, c2=0.0066873174013024755 ...............
[CV]  c1=0.033861923538129626, c2=0.0066873174013024755, score=0.784955 -   1.3s
[CV] c1=0.44321564096984184, c2=0.06001467363316171 ..................
[CV]  c1=0.44321564096984184, c2=0.06001467363316171, score=0.744284 -   1.3s
[CV] c1=0.5999167110999838, c2=0.08917458775145574 ...................
[CV]  c1=0.5999167110999838, c2=0.08917458775145574, score=0.771029 -   1.3s
[CV] c1=0.2760326568282449, c2=0.03434061917588028 ...................
[CV]  c1=0.2760326568282449, c2=0.03434061917588028, score=0.796894 -   1.3s
[CV] c1=0.8696903923816212, c2=0.029222524693410547 ..................
[CV]  c1=0.8696903923816212, c2=0.029222524693410547, score=0.745507 -   1.3s
[CV] c1=0.7085126989732035, c2=0.006901197074347972 ..................
[CV]  c1=0.7085126989732035, c2=0.006901197074347972, score=0.745507 -   1.2s
[CV] c1=0.9353511917566533, c2=0.007486552121014779 ..................
[CV]  c1=0.9353511917566533, c2=0.007486552121014779, score=0.689021 -   1.2s
[CV] c1=0.09177221429781575, c2=0.0016433566726188735 ................
[CV]  c1=0.09177221429781575, c2=0.0016433566726188735, score=0.822308 -   1.2s
[CV] c1=0.019164111570738954, c2=0.020281727867942436 ................
[CV]  c1=0.019164111570738954, c2=0.020281727867942436, score=0.829084 -   1.3s
[CV] c1=0.5644723829856853, c2=0.03897673998313579 ...................
[CV]  c1=0.5644723829856853, c2=0.03897673998313579, score=0.766827 -   1.2s
[CV] c1=0.05500729982906484, c2=0.051682455429066326 .................
[CV]  c1=0.05500729982906484, c2=0.051682455429066326, score=0.825153 -   1.3s
[CV] c1=1.8391795325749447, c2=0.046414370469705236 ..................
[CV]  c1=1.8391795325749447, c2=0.046414370469705236, score=0.738905 -   1.3s
[CV] c1=1.2339242584856915, c2=0.032684596607488625 ..................
[CV]  c1=1.2339242584856915, c2=0.032684596607488625, score=0.647861 -   1.4s
[CV] c1=0.24292454555967824, c2=0.007824740142933549 .................
[CV]  c1=0.24292454555967824, c2=0.007824740142933549, score=0.885431 -   1.2s
[CV] c1=0.13601471903217963, c2=0.016061118577807513 .................
[CV]  c1=0.13601471903217963, c2=0.016061118577807513, score=0.714863 -   1.0s
[CV] c1=0.2760326568282449, c2=0.03434061917588028 ...................
[CV]  c1=0.2760326568282449, c2=0.03434061917588028, score=0.866747 -   1.3s
[CV] c1=0.84990341264485, c2=0.0008993422869333322 ...................
[CV]  c1=0.84990341264485, c2=0.0008993422869333322, score=0.719146 -   1.3s
[CV] c1=0.7085126989732035, c2=0.006901197074347972 ..................
[CV]  c1=0.7085126989732035, c2=0.006901197074347972, score=0.825042 -   1.2s
[CV] c1=0.2836650139340962, c2=0.09614042866665821 ...................
[CV]  c1=0.2836650139340962, c2=0.09614042866665821, score=0.800436 -   1.1s
[CV] c1=0.9816345515016357, c2=0.01849475940746483 ...................
[CV]  c1=0.9816345515016357, c2=0.01849475940746483, score=0.740176 -   1.2s
[CV] c1=0.019164111570738954, c2=0.020281727867942436 ................
[CV]  c1=0.019164111570738954, c2=0.020281727867942436, score=0.895331 -   1.3s
[CV] c1=0.38035823638965893, c2=0.027823671325239482 .................
[CV]  c1=0.38035823638965893, c2=0.027823671325239482, score=0.862161 -   1.3s
[CV] c1=0.7744267407940464, c2=0.031364629683681096 ..................
[CV]  c1=0.7744267407940464, c2=0.031364629683681096, score=0.722815 -   1.3s
[CV] c1=1.712602307538521, c2=0.025614638268012697 ...................
[CV]  c1=1.712602307538521, c2=0.025614638268012697, score=0.654257 -   1.2s
[CV] c1=0.004280375481517469, c2=0.06893125062265315 .................
[CV]  c1=0.004280375481517469, c2=0.06893125062265315, score=0.822791 -   1.4s
[CV] c1=0.08809632353541673, c2=0.026164910631421776 .................
[CV]  c1=0.08809632353541673, c2=0.026164910631421776, score=0.779285 -   1.3s
[CV] c1=0.4441243002114684, c2=0.007689612134806405 ..................
[CV]  c1=0.4441243002114684, c2=0.007689612134806405, score=0.774178 -   1.4s
[CV] c1=0.09711937383593225, c2=0.04169604714441979 ..................
[CV]  c1=0.09711937383593225, c2=0.04169604714441979, score=0.785358 -   1.3s
[CV] c1=0.030311883144663168, c2=0.045012613680270874 ................
[CV]  c1=0.030311883144663168, c2=0.045012613680270874, score=0.723655 -   1.1s
[CV] c1=1.9604318010750377, c2=0.007332122236081817 ..................
[CV]  c1=1.9604318010750377, c2=0.007332122236081817, score=0.750049 -   1.3s
[CV] c1=0.5202731724583843, c2=0.0008416186654981501 .................
[CV]  c1=0.5202731724583843, c2=0.0008416186654981501, score=0.768430 -   1.3s
[CV] c1=0.7022682670923495, c2=0.044821078367516275 ..................
[CV]  c1=0.7022682670923495, c2=0.044821078367516275, score=0.704940 -   1.3s
[CV] c1=0.04592821129194885, c2=0.006430902318041845 .................
[CV]  c1=0.04592821129194885, c2=0.006430902318041845, score=0.778339 -   1.3s
[CV] c1=0.15749139990758318, c2=0.010151515877192077 .................
[CV]  c1=0.15749139990758318, c2=0.010151515877192077, score=0.727369 -   1.0s
[CV] c1=0.2492924363697574, c2=0.13935545214126396 ...................
[CV]  c1=0.2492924363697574, c2=0.13935545214126396, score=0.682175 -   1.0s
[CV] c1=1.8391795325749447, c2=0.046414370469705236 ..................
[CV]  c1=1.8391795325749447, c2=0.046414370469705236, score=0.511388 -   1.0s
[CV] c1=0.033861923538129626, c2=0.0066873174013024755 ...............
[CV]  c1=0.033861923538129626, c2=0.0066873174013024755, score=0.801277 -   1.2s
[CV] c1=0.22320196368993245, c2=0.026843120015096707 .................
[CV]  c1=0.22320196368993245, c2=0.026843120015096707, score=0.807541 -   1.3s
[CV] c1=0.5999167110999838, c2=0.08917458775145574 ...................
[CV]  c1=0.5999167110999838, c2=0.08917458775145574, score=0.691880 -   1.0s
[CV] c1=1.212635717833772, c2=0.19847187510768338 ....................
[CV]  c1=1.212635717833772, c2=0.19847187510768338, score=0.557350 -   1.3s
[CV] c1=1.3329813007276443, c2=0.028688367944776957 ..................
[CV]  c1=1.3329813007276443, c2=0.028688367944776957, score=0.610356 -   1.0s
[CV] c1=0.4370112670942744, c2=0.000661116625983474 ..................
[CV]  c1=0.4370112670942744, c2=0.000661116625983474, score=0.712028 -   1.0s
[CV] c1=0.7314795445591301, c2=0.008385257746811188 ..................
[CV]  c1=0.7314795445591301, c2=0.008385257746811188, score=0.695635 -   1.0s
[CV] c1=0.6714292586631795, c2=0.2691278583932994 ....................
[CV]  c1=0.6714292586631795, c2=0.2691278583932994, score=0.698153 -   1.2s
[CV] c1=0.37492766119412924, c2=0.004703012591515287 .................
[CV]  c1=0.37492766119412924, c2=0.004703012591515287, score=0.805292 -   1.3s
[CV] c1=0.6549939384182106, c2=0.016146984330623046 ..................
[CV]  c1=0.6549939384182106, c2=0.016146984330623046, score=0.767375 -   1.2s
[CV] c1=0.5376623170157763, c2=0.03165269509902246 ...................
[CV]  c1=0.5376623170157763, c2=0.03165269509902246, score=0.710693 -   1.0s
[CV] c1=0.05500729982906484, c2=0.051682455429066326 .................
[CV]  c1=0.05500729982906484, c2=0.051682455429066326, score=0.779285 -   1.3s
[CV] c1=1.8391795325749447, c2=0.046414370469705236 ..................
[CV]  c1=1.8391795325749447, c2=0.046414370469705236, score=0.594335 -   1.3s
[CV] c1=1.2339242584856915, c2=0.032684596607488625 ..................
[CV]  c1=1.2339242584856915, c2=0.032684596607488625, score=0.731745 -   1.2s
[CV] c1=0.08809632353541673, c2=0.026164910631421776 .................
[CV]  c1=0.08809632353541673, c2=0.026164910631421776, score=0.832432 -   1.3s
[CV] c1=0.2673711734184126, c2=0.25388739049485815 ...................
[CV]  c1=0.2673711734184126, c2=0.25388739049485815, score=0.784396 -   1.3s
[CV] c1=0.16891770381810195, c2=0.03297891804152097 ..................
[CV]  c1=0.16891770381810195, c2=0.03297891804152097, score=0.821649 -   1.2s
[CV] c1=0.5415821322754776, c2=0.017443681574278485 ..................
[CV]  c1=0.5415821322754776, c2=0.017443681574278485, score=0.871779 -   1.3s
[CV] c1=1.9604318010750377, c2=0.007332122236081817 ..................
[CV]  c1=1.9604318010750377, c2=0.007332122236081817, score=0.604568 -   1.2s
[CV] c1=0.19023609844607728, c2=0.014299123139669821 .................
[CV]  c1=0.19023609844607728, c2=0.014299123139669821, score=0.882449 -   1.0s
[CV] c1=0.6701522375597455, c2=0.08483700023222884 ...................
[CV]  c1=0.6701522375597455, c2=0.08483700023222884, score=0.692858 -   1.3s
[CV] c1=0.4960684989645088, c2=0.019889939765478586 ..................
[CV]  c1=0.4960684989645088, c2=0.019889939765478586, score=0.784190 -   1.2s
[CV] c1=0.5254782946032572, c2=0.04949076095320749 ...................
[CV]  c1=0.5254782946032572, c2=0.04949076095320749, score=0.774166 -   1.2s
[CV] c1=0.07282759335197375, c2=0.09137606359763323 ..................
[CV]  c1=0.07282759335197375, c2=0.09137606359763323, score=0.881050 -   1.4s
[CV] c1=0.6245730072310559, c2=0.0098004715482529 ....................
[CV]  c1=0.6245730072310559, c2=0.0098004715482529, score=0.873285 -   1.3s
[CV] c1=0.033861923538129626, c2=0.0066873174013024755 ...............
[CV]  c1=0.033861923538129626, c2=0.0066873174013024755, score=0.832432 -   1.3s
[CV] c1=0.44321564096984184, c2=0.06001467363316171 ..................
[CV]  c1=0.44321564096984184, c2=0.06001467363316171, score=0.834460 -   1.3s
[CV] c1=0.5999167110999838, c2=0.08917458775145574 ...................
[CV]  c1=0.5999167110999838, c2=0.08917458775145574, score=0.703966 -   1.4s
[CV] c1=0.16891770381810195, c2=0.03297891804152097 ..................
[CV]  c1=0.16891770381810195, c2=0.03297891804152097, score=0.868728 -   1.3s
[CV] c1=0.8696903923816212, c2=0.029222524693410547 ..................
[CV]  c1=0.8696903923816212, c2=0.029222524693410547, score=0.823477 -   1.3s
[CV] c1=0.7085126989732035, c2=0.006901197074347972 ..................
[CV]  c1=0.7085126989732035, c2=0.006901197074347972, score=0.707193 -   1.3s
[CV] c1=0.19023609844607728, c2=0.014299123139669821 .................
[CV]  c1=0.19023609844607728, c2=0.014299123139669821, score=0.799941 -   1.2s
[CV] c1=0.9816345515016357, c2=0.01849475940746483 ...................
[CV]  c1=0.9816345515016357, c2=0.01849475940746483, score=0.677730 -   1.3s
[CV] c1=0.019164111570738954, c2=0.020281727867942436 ................
[CV]  c1=0.019164111570738954, c2=0.020281727867942436, score=0.779765 -   1.2s
[CV] c1=0.38035823638965893, c2=0.027823671325239482 .................
[CV]  c1=0.38035823638965893, c2=0.027823671325239482, score=0.707695 -   1.0s
[CV] c1=0.07282759335197375, c2=0.09137606359763323 ..................
[CV]  c1=0.07282759335197375, c2=0.09137606359763323, score=0.721539 -   1.0s
[CV] c1=0.9117905818084969, c2=0.008011826555292858 ..................
[CV]  c1=0.9117905818084969, c2=0.008011826555292858, score=0.658230 -   1.0s
[CV] c1=0.039234696236588464, c2=0.052749896394029244 ................
[CV]  c1=0.039234696236588464, c2=0.052749896394029244, score=0.834061 -   1.3s
[CV] c1=0.7642221414375991, c2=0.08373551750750784 ...................
[CV]  c1=0.7642221414375991, c2=0.08373551750750784, score=0.730624 -   1.4s
[CV] c1=0.0425131087206805, c2=0.009268909852375941 ..................
[CV]  c1=0.0425131087206805, c2=0.009268909852375941, score=0.794425 -   1.2s
[CV] c1=0.3843055614927818, c2=0.03297254030791972 ...................
[CV]  c1=0.3843055614927818, c2=0.03297254030791972, score=0.803390 -   1.2s
[CV] c1=0.7143337985076442, c2=0.04733370448119783 ...................
[CV]  c1=0.7143337985076442, c2=0.04733370448119783, score=0.709374 -   1.3s
[CV] c1=0.17032720705327886, c2=0.01618217985244858 ..................
[CV]  c1=0.17032720705327886, c2=0.01618217985244858, score=0.826217 -   1.3s
[CV] c1=1.1940577561821795, c2=0.04032402680212494 ...................
[CV]  c1=1.1940577561821795, c2=0.04032402680212494, score=0.615765 -   0.8s
[CV] c1=0.9353511917566533, c2=0.007486552121014779 ..................
[CV]  c1=0.9353511917566533, c2=0.007486552121014779, score=0.657018 -   0.9s
[CV] c1=0.6701522375597455, c2=0.08483700023222884 ...................
[CV]  c1=0.6701522375597455, c2=0.08483700023222884, score=0.730610 -   1.3s
[CV] c1=0.4960684989645088, c2=0.019889939765478586 ..................
[CV]  c1=0.4960684989645088, c2=0.019889939765478586, score=0.802511 -   1.3s
[CV] c1=0.011352300404393029, c2=0.06102124341797182 .................
[CV]  c1=0.011352300404393029, c2=0.06102124341797182, score=0.750490 -   1.0s
[CV] c1=0.15749139990758318, c2=0.010151515877192077 .................
[CV]  c1=0.15749139990758318, c2=0.010151515877192077, score=0.831741 -   1.3s
[CV] c1=0.9117905818084969, c2=0.008011826555292858 ..................
[CV]  c1=0.9117905818084969, c2=0.008011826555292858, score=0.745507 -   1.2s
[CV] c1=0.2760148171223355, c2=0.0045820292363562085 .................
[CV]  c1=0.2760148171223355, c2=0.0045820292363562085, score=0.808164 -   1.4s
[CV] c1=0.1962472901855242, c2=0.01057120863961361 ...................
[CV]  c1=0.1962472901855242, c2=0.01057120863961361, score=0.723526 -   1.0s
[CV] c1=0.0425131087206805, c2=0.009268909852375941 ..................
[CV]  c1=0.0425131087206805, c2=0.009268909852375941, score=0.899511 -   1.3s
[CV] c1=0.3843055614927818, c2=0.03297254030791972 ...................
[CV]  c1=0.3843055614927818, c2=0.03297254030791972, score=0.712028 -   1.0s
[CV] c1=0.10569584150377609, c2=0.04532535668398834 ..................
[CV]  c1=0.10569584150377609, c2=0.04532535668398834, score=0.878029 -   1.3s
[CV] c1=0.030311883144663168, c2=0.045012613680270874 ................
[CV]  c1=0.030311883144663168, c2=0.045012613680270874, score=0.834061 -   1.3s
[CV] c1=0.5342073028428859, c2=0.0680698931713967 ....................
[CV]  c1=0.5342073028428859, c2=0.0680698931713967, score=0.749625 -   1.1s
[CV] c1=0.6714292586631795, c2=0.2691278583932994 ....................
[CV]  c1=0.6714292586631795, c2=0.2691278583932994, score=0.674368 -   1.4s
[CV] c1=0.1374712635874243, c2=0.023307879299390172 ..................
[CV]  c1=0.1374712635874243, c2=0.023307879299390172, score=0.826016 -   1.3s
[CV] c1=0.10140424215578851, c2=0.02637619801595504 ..................
[CV]  c1=0.10140424215578851, c2=0.02637619801595504, score=0.781381 -   1.3s
[CV] c1=0.6973547459858833, c2=0.052301988842656355 ..................
[CV]  c1=0.6973547459858833, c2=0.052301988842656355, score=0.724200 -   1.3s
[CV] c1=0.9117905818084969, c2=0.008011826555292858 ..................
[CV]  c1=0.9117905818084969, c2=0.008011826555292858, score=0.855251 -   1.2s
[CV] c1=0.039234696236588464, c2=0.052749896394029244 ................
[CV]  c1=0.039234696236588464, c2=0.052749896394029244, score=0.778303 -   1.3s
[CV] c1=0.2001813954248959, c2=0.010949589654819694 ..................
[CV]  c1=0.2001813954248959, c2=0.010949589654819694, score=0.868072 -   1.3s
[CV] c1=0.0425131087206805, c2=0.009268909852375941 ..................
[CV]  c1=0.0425131087206805, c2=0.009268909852375941, score=0.678511 -   1.0s
[CV] c1=0.13601471903217963, c2=0.016061118577807513 .................
[CV]  c1=0.13601471903217963, c2=0.016061118577807513, score=0.817635 -   1.2s
[CV] c1=0.09711937383593225, c2=0.04169604714441979 ..................
[CV]  c1=0.09711937383593225, c2=0.04169604714441979, score=0.703551 -   1.0s
[CV] c1=0.84990341264485, c2=0.0008993422869333322 ...................
[CV]  c1=0.84990341264485, c2=0.0008993422869333322, score=0.691117 -   1.4s
[CV] c1=0.7085126989732035, c2=0.006901197074347972 ..................
[CV]  c1=0.7085126989732035, c2=0.006901197074347972, score=0.776160 -   1.3s
[CV] c1=0.2836650139340962, c2=0.09614042866665821 ...................
[CV]  c1=0.2836650139340962, c2=0.09614042866665821, score=0.805946 -   1.2s
[CV] c1=0.09177221429781575, c2=0.0016433566726188735 ................
[CV]  c1=0.09177221429781575, c2=0.0016433566726188735, score=0.699659 -   1.0s
[CV] c1=0.056610259590950236, c2=0.08246459754361295 .................
[CV]  c1=0.056610259590950236, c2=0.08246459754361295, score=0.874621 -   1.3s
[CV] c1=0.011352300404393029, c2=0.06102124341797182 .................
[CV]  c1=0.011352300404393029, c2=0.06102124341797182, score=0.834061 -   1.3s
[CV] c1=0.7744267407940464, c2=0.031364629683681096 ..................
[CV]  c1=0.7744267407940464, c2=0.031364629683681096, score=0.829521 -   1.3s
[CV] c1=0.6245730072310559, c2=0.0098004715482529 ....................
[CV]  c1=0.6245730072310559, c2=0.0098004715482529, score=0.706360 -   1.0s
[CV] c1=0.7408359851743948, c2=0.006969535735520924 ..................
[CV]  c1=0.7408359851743948, c2=0.006969535735520924, score=0.694278 -   1.0s
[CV] c1=0.2001813954248959, c2=0.010949589654819694 ..................
[CV]  c1=0.2001813954248959, c2=0.010949589654819694, score=0.722191 -   1.0s
[CV] c1=0.9029290343464701, c2=0.05543936931420188 ...................
[CV]  c1=0.9029290343464701, c2=0.05543936931420188, score=0.653155 -   1.0s
[CV] c1=0.4441243002114684, c2=0.007689612134806405 ..................
[CV]  c1=0.4441243002114684, c2=0.007689612134806405, score=0.811809 -   1.3s
[CV] c1=0.09711937383593225, c2=0.04169604714441979 ..................
[CV]  c1=0.09711937383593225, c2=0.04169604714441979, score=0.809203 -   1.3s
[CV] c1=0.030311883144663168, c2=0.045012613680270874 ................
[CV]  c1=0.030311883144663168, c2=0.045012613680270874, score=0.891925 -   1.2s
[CV] c1=0.5342073028428859, c2=0.0680698931713967 ....................
[CV]  c1=0.5342073028428859, c2=0.0680698931713967, score=0.827742 -   1.2s
[CV] c1=0.5202731724583843, c2=0.0008416186654981501 .................
[CV]  c1=0.5202731724583843, c2=0.0008416186654981501, score=0.868396 -   1.3s
[CV] c1=0.1374712635874243, c2=0.023307879299390172 ..................
[CV]  c1=0.1374712635874243, c2=0.023307879299390172, score=0.815862 -   1.1s
[CV] c1=0.10140424215578851, c2=0.02637619801595504 ..................
[CV]  c1=0.10140424215578851, c2=0.02637619801595504, score=0.691711 -   0.9s
[CV] c1=1.9216485823983485, c2=0.05017018808329378 ...................
[CV]  c1=1.9216485823983485, c2=0.05017018808329378, score=0.737294 -   1.1s
[CV] c1=0.05500729982906484, c2=0.051682455429066326 .................
[CV]  c1=0.05500729982906484, c2=0.051682455429066326, score=0.723523 -   1.0s
[CV] c1=0.6697544056829773, c2=0.019169485489190008 ..................
[CV]  c1=0.6697544056829773, c2=0.019169485489190008, score=0.785587 -   1.3s
[CV] c1=0.033861923538129626, c2=0.0066873174013024755 ...............
[CV]  c1=0.033861923538129626, c2=0.0066873174013024755, score=0.703519 -   1.0s
[CV] c1=0.1962472901855242, c2=0.01057120863961361 ...................
[CV]  c1=0.1962472901855242, c2=0.01057120863961361, score=0.870184 -   1.2s
[CV] c1=0.0425131087206805, c2=0.009268909852375941 ..................
[CV]  c1=0.0425131087206805, c2=0.009268909852375941, score=0.775851 -   1.3s
[CV] c1=1.212635717833772, c2=0.19847187510768338 ....................
[CV]  c1=1.212635717833772, c2=0.19847187510768338, score=0.568703 -   1.0s
[CV] c1=0.7143337985076442, c2=0.04733370448119783 ...................
[CV]  c1=0.7143337985076442, c2=0.04733370448119783, score=0.689265 -   0.9s
[CV] c1=0.5415821322754776, c2=0.017443681574278485 ..................
[CV]  c1=0.5415821322754776, c2=0.017443681574278485, score=0.775672 -   1.2s
[CV] c1=1.9604318010750377, c2=0.007332122236081817 ..................
[CV]  c1=1.9604318010750377, c2=0.007332122236081817, score=0.635557 -   1.3s
[CV] c1=0.07040608262508771, c2=0.0673817367564541 ...................
[CV]  c1=0.07040608262508771, c2=0.0673817367564541, score=0.811700 -   1.3s
[CV] c1=0.1374712635874243, c2=0.023307879299390172 ..................
[CV]  c1=0.1374712635874243, c2=0.023307879299390172, score=0.691711 -   1.0s
[CV] c1=0.4624058286518351, c2=0.010459686890350983 ..................
[CV]  c1=0.4624058286518351, c2=0.010459686890350983, score=0.871435 -   1.2s
[CV] c1=1.9216485823983485, c2=0.05017018808329378 ...................
[CV]  c1=1.9216485823983485, c2=0.05017018808329378, score=0.635557 -   1.2s
[CV] c1=0.1860718780380681, c2=0.1770944755789403 ....................
[CV]  c1=0.1860718780380681, c2=0.1770944755789403, score=0.779024 -   1.2s
[CV] c1=1.8391795325749447, c2=0.046414370469705236 ..................
[CV]  c1=1.8391795325749447, c2=0.046414370469705236, score=0.524210 -   1.3s
[CV] c1=0.35007933493290333, c2=0.004692427979259495 .................
[CV]  c1=0.35007933493290333, c2=0.004692427979259495, score=0.783793 -   1.2s
[CV] c1=0.03575133696140669, c2=0.059714640071334826 .................
[CV]  c1=0.03575133696140669, c2=0.059714640071334826, score=0.834061 -   1.3s
[CV] c1=0.13601471903217963, c2=0.016061118577807513 .................
[CV]  c1=0.13601471903217963, c2=0.016061118577807513, score=0.862919 -   1.3s
[CV] c1=0.09711937383593225, c2=0.04169604714441979 ..................
[CV]  c1=0.09711937383593225, c2=0.04169604714441979, score=0.882871 -   1.2s
[CV] c1=0.8696903923816212, c2=0.029222524693410547 ..................
[CV]  c1=0.8696903923816212, c2=0.029222524693410547, score=0.675839 -   1.3s
[CV] c1=1.9604318010750377, c2=0.007332122236081817 ..................
[CV]  c1=1.9604318010750377, c2=0.007332122236081817, score=0.529449 -   1.2s
[CV] c1=0.6714292586631795, c2=0.2691278583932994 ....................
[CV]  c1=0.6714292586631795, c2=0.2691278583932994, score=0.569701 -   1.1s
[CV] c1=0.117214622648615, c2=0.020324649762193225 ...................
[CV]  c1=0.117214622648615, c2=0.020324649762193225, score=0.876971 -   1.4s
[CV] c1=0.4624058286518351, c2=0.010459686890350983 ..................
[CV]  c1=0.4624058286518351, c2=0.010459686890350983, score=0.787593 -   1.2s
[CV] c1=1.9216485823983485, c2=0.05017018808329378 ...................
[CV]  c1=1.9216485823983485, c2=0.05017018808329378, score=0.531270 -   1.4s
[CV] c1=0.6114893927817746, c2=0.01346223136352167 ...................
[CV]  c1=0.6114893927817746, c2=0.01346223136352167, score=0.791731 -   1.3s
[CV] c1=0.47050898202516045, c2=0.061551660915008334 .................
[CV]  c1=0.47050898202516045, c2=0.061551660915008334, score=0.766827 -   1.2s
[CV] c1=0.5184533252723038, c2=0.15431291471689979 ...................
[CV]  c1=0.5184533252723038, c2=0.15431291471689979, score=0.755844 -   1.2s
[CV] c1=0.24292454555967824, c2=0.007824740142933549 .................
[CV]  c1=0.24292454555967824, c2=0.007824740142933549, score=0.817155 -   1.3s
[CV] c1=1.8254974575115588, c2=0.11870560296784712 ...................
[CV]  c1=1.8254974575115588, c2=0.11870560296784712, score=0.511388 -   1.0s
[CV] c1=0.16891770381810195, c2=0.03297891804152097 ..................
[CV]  c1=0.16891770381810195, c2=0.03297891804152097, score=0.779285 -   1.4s
[CV] c1=0.5415821322754776, c2=0.017443681574278485 ..................
[CV]  c1=0.5415821322754776, c2=0.017443681574278485, score=0.803710 -   1.3s
[CV] c1=0.5342073028428859, c2=0.0680698931713967 ....................
[CV]  c1=0.5342073028428859, c2=0.0680698931713967, score=0.737969 -   1.2s
[CV] c1=0.07040608262508771, c2=0.0673817367564541 ...................
[CV]  c1=0.07040608262508771, c2=0.0673817367564541, score=0.808160 -   1.3s
[CV] c1=0.1374712635874243, c2=0.023307879299390172 ..................
[CV]  c1=0.1374712635874243, c2=0.023307879299390172, score=0.866989 -   1.2s
[CV] c1=0.10140424215578851, c2=0.02637619801595504 ..................
[CV]  c1=0.10140424215578851, c2=0.02637619801595504, score=0.811368 -   1.3s
[CV] c1=0.6973547459858833, c2=0.052301988842656355 ..................
[CV]  c1=0.6973547459858833, c2=0.052301988842656355, score=0.832920 -   1.1s
[CV] c1=0.2492924363697574, c2=0.13935545214126396 ...................
[CV]  c1=0.2492924363697574, c2=0.13935545214126396, score=0.742048 -   1.3s
[CV] c1=0.47050898202516045, c2=0.061551660915008334 .................
[CV]  c1=0.47050898202516045, c2=0.061551660915008334, score=0.793396 -   1.4s
[CV] c1=0.7642221414375991, c2=0.08373551750750784 ...................
[CV]  c1=0.7642221414375991, c2=0.08373551750750784, score=0.740176 -   1.2s
[CV] c1=0.9029290343464701, c2=0.05543936931420188 ...................
[CV]  c1=0.9029290343464701, c2=0.05543936931420188, score=0.740176 -   1.2s
[CV] c1=1.8254974575115588, c2=0.11870560296784712 ...................
[CV]  c1=1.8254974575115588, c2=0.11870560296784712, score=0.635557 -   1.2s
[CV] c1=0.10569584150377609, c2=0.04532535668398834 ..................
[CV]  c1=0.10569584150377609, c2=0.04532535668398834, score=0.801046 -   1.3s
[CV] c1=0.030311883144663168, c2=0.045012613680270874 ................
[CV]  c1=0.030311883144663168, c2=0.045012613680270874, score=0.817885 -   1.2s
[CV] c1=0.7314795445591301, c2=0.008385257746811188 ..................
[CV]  c1=0.7314795445591301, c2=0.008385257746811188, score=0.850105 -   1.1s
[CV] c1=0.2836650139340962, c2=0.09614042866665821 ...................
[CV]  c1=0.2836650139340962, c2=0.09614042866665821, score=0.684123 -   0.8s
[CV] c1=0.6701522375597455, c2=0.08483700023222884 ...................
[CV]  c1=0.6701522375597455, c2=0.08483700023222884, score=0.658385 -   1.1s
[CV] c1=0.4960684989645088, c2=0.019889939765478586 ..................
[CV]  c1=0.4960684989645088, c2=0.019889939765478586, score=0.880148 -   1.3s
[CV] c1=0.5254782946032572, c2=0.04949076095320749 ...................
[CV]  c1=0.5254782946032572, c2=0.04949076095320749, score=0.706360 -   1.0s
[CV] c1=0.4722333442301281, c2=0.019701716184538018 ..................
[CV]  c1=0.4722333442301281, c2=0.019701716184538018, score=0.729355 -   1.5s
[CV] c1=0.23600947592727128, c2=0.12260295653224032 ..................
[CV]  c1=0.23600947592727128, c2=0.12260295653224032, score=0.773042 -   1.3s
[CV] c1=0.2760148171223355, c2=0.0045820292363562085 .................
[CV]  c1=0.2760148171223355, c2=0.0045820292363562085, score=0.725541 -   1.0s
[CV] c1=0.7642221414375991, c2=0.08373551750750784 ...................
[CV]  c1=0.7642221414375991, c2=0.08373551750750784, score=0.654795 -   1.1s
[CV] c1=0.24292454555967824, c2=0.007824740142933549 .................
[CV]  c1=0.24292454555967824, c2=0.007824740142933549, score=0.826016 -   1.3s
[CV] c1=0.13601471903217963, c2=0.016061118577807513 .................
[CV]  c1=0.13601471903217963, c2=0.016061118577807513, score=0.797296 -   1.3s
[CV] c1=0.10569584150377609, c2=0.04532535668398834 ..................
[CV]  c1=0.10569584150377609, c2=0.04532535668398834, score=0.802105 -   1.2s
[CV] c1=0.030311883144663168, c2=0.045012613680270874 ................
[CV]  c1=0.030311883144663168, c2=0.045012613680270874, score=0.820193 -   1.2s
[CV] c1=0.5342073028428859, c2=0.0680698931713967 ....................
[CV]  c1=0.5342073028428859, c2=0.0680698931713967, score=0.798355 -   1.2s
[CV] c1=0.7410750725067845, c2=0.05669011378002567 ...................
[CV]  c1=0.7410750725067845, c2=0.05669011378002567, score=0.841880 -   1.3s
[CV] c1=0.7022682670923495, c2=0.044821078367516275 ..................
[CV]  c1=0.7022682670923495, c2=0.044821078367516275, score=0.835527 -   1.2s
[CV] c1=0.04592821129194885, c2=0.006430902318041845 .................
[CV]  c1=0.04592821129194885, c2=0.006430902318041845, score=0.885367 -   1.2s
[CV] c1=0.6973547459858833, c2=0.052301988842656355 ..................
[CV]  c1=0.6973547459858833, c2=0.052301988842656355, score=0.694993 -   1.0s
[CV] c1=0.6114893927817746, c2=0.01346223136352167 ...................
[CV]  c1=0.6114893927817746, c2=0.01346223136352167, score=0.733450 -   1.3s
[CV] c1=0.47050898202516045, c2=0.061551660915008334 .................
[CV]  c1=0.47050898202516045, c2=0.061551660915008334, score=0.854749 -   1.3s
[CV] c1=0.5184533252723038, c2=0.15431291471689979 ...................
[CV]  c1=0.5184533252723038, c2=0.15431291471689979, score=0.697143 -   1.3s
[CV] c1=0.24292454555967824, c2=0.007824740142933549 .................
[CV]  c1=0.24292454555967824, c2=0.007824740142933549, score=0.800331 -   1.3s
[CV] c1=1.8254974575115588, c2=0.11870560296784712 ...................
[CV]  c1=1.8254974575115588, c2=0.11870560296784712, score=0.590870 -   1.3s
[CV] c1=0.10569584150377609, c2=0.04532535668398834 ..................
[CV]  c1=0.10569584150377609, c2=0.04532535668398834, score=0.785358 -   1.3s
[CV] c1=0.17032720705327886, c2=0.01618217985244858 ..................
[CV]  c1=0.17032720705327886, c2=0.01618217985244858, score=0.825396 -   1.2s
[CV] c1=0.7314795445591301, c2=0.008385257746811188 ..................
[CV]  c1=0.7314795445591301, c2=0.008385257746811188, score=0.779829 -   1.1s
[CV] c1=0.5202731724583843, c2=0.0008416186654981501 .................
[CV]  c1=0.5202731724583843, c2=0.0008416186654981501, score=0.811867 -   1.3s
[CV] c1=0.1374712635874243, c2=0.023307879299390172 ..................
[CV]  c1=0.1374712635874243, c2=0.023307879299390172, score=0.770531 -   1.3s
[CV] c1=0.04592821129194885, c2=0.006430902318041845 .................
[CV]  c1=0.04592821129194885, c2=0.006430902318041845, score=0.747635 -   1.2s
[CV] c1=0.6973547459858833, c2=0.052301988842656355 ..................
[CV]  c1=0.6973547459858833, c2=0.052301988842656355, score=0.697195 -   1.3s
[CV] c1=0.23600947592727128, c2=0.12260295653224032 ..................
[CV]  c1=0.23600947592727128, c2=0.12260295653224032, score=0.788992 -   1.2s
[CV] c1=0.039234696236588464, c2=0.052749896394029244 ................
[CV]  c1=0.039234696236588464, c2=0.052749896394029244, score=0.811368 -   1.2s
[CV] c1=0.7642221414375991, c2=0.08373551750750784 ...................
[CV]  c1=0.7642221414375991, c2=0.08373551750750784, score=0.679635 -   1.3s
[CV] c1=0.9029290343464701, c2=0.05543936931420188 ...................
[CV]  c1=0.9029290343464701, c2=0.05543936931420188, score=0.673986 -   1.3s
[CV] c1=0.3843055614927818, c2=0.03297254030791972 ...................
[CV]  c1=0.3843055614927818, c2=0.03297254030791972, score=0.876560 -   1.3s
[CV] c1=0.7143337985076442, c2=0.04733370448119783 ...................
[CV]  c1=0.7143337985076442, c2=0.04733370448119783, score=0.745507 -   1.2s
[CV] c1=0.17032720705327886, c2=0.01618217985244858 ..................
[CV]  c1=0.17032720705327886, c2=0.01618217985244858, score=0.821649 -   1.2s
[CV] c1=0.7314795445591301, c2=0.008385257746811188 ..................
[CV]  c1=0.7314795445591301, c2=0.008385257746811188, score=0.745507 -   1.1s
[CV] c1=1.1123503234331973, c2=0.04688865155939009 ...................
[CV]  c1=1.1123503234331973, c2=0.04688865155939009, score=0.731745 -   1.3s
[CV] c1=0.37492766119412924, c2=0.004703012591515287 .................
[CV]  c1=0.37492766119412924, c2=0.004703012591515287, score=0.791584 -   1.2s
[CV] c1=0.4624058286518351, c2=0.010459686890350983 ..................
[CV]  c1=0.4624058286518351, c2=0.010459686890350983, score=0.811595 -   1.3s
[CV] c1=0.5376623170157763, c2=0.03165269509902246 ...................
[CV]  c1=0.5376623170157763, c2=0.03165269509902246, score=0.739831 -   1.3s
[CV] c1=0.2492924363697574, c2=0.13935545214126396 ...................
[CV]  c1=0.2492924363697574, c2=0.13935545214126396, score=0.779024 -   1.2s
[CV] c1=0.47050898202516045, c2=0.061551660915008334 .................
[CV]  c1=0.47050898202516045, c2=0.061551660915008334, score=0.744284 -   1.3s
[CV] c1=0.7642221414375991, c2=0.08373551750750784 ...................
[CV]  c1=0.7642221414375991, c2=0.08373551750750784, score=0.818740 -   1.3s
[CV] c1=0.9029290343464701, c2=0.05543936931420188 ...................
[CV]  c1=0.9029290343464701, c2=0.05543936931420188, score=0.668381 -   1.3s
[CV] c1=1.8254974575115588, c2=0.11870560296784712 ...................
[CV]  c1=1.8254974575115588, c2=0.11870560296784712, score=0.531270 -   1.3s
[CV] c1=0.7143337985076442, c2=0.04733370448119783 ...................
[CV]  c1=0.7143337985076442, c2=0.04733370448119783, score=0.819103 -   1.2s
[CV] c1=0.17032720705327886, c2=0.01618217985244858 ..................
[CV]  c1=0.17032720705327886, c2=0.01618217985244858, score=0.878583 -   1.3s
[CV] c1=0.7314795445591301, c2=0.008385257746811188 ..................
[CV]  c1=0.7314795445591301, c2=0.008385257746811188, score=0.699322 -   1.2s
[CV] c1=0.7410750725067845, c2=0.05669011378002567 ...................
[CV]  c1=0.7410750725067845, c2=0.05669011378002567, score=0.712617 -   1.3s
[CV] c1=0.7022682670923495, c2=0.044821078367516275 ..................
[CV]  c1=0.7022682670923495, c2=0.044821078367516275, score=0.724200 -   1.2s
[CV] c1=0.04592821129194885, c2=0.006430902318041845 .................
[CV]  c1=0.04592821129194885, c2=0.006430902318041845, score=0.678082 -   1.0s
[CV] c1=0.5376623170157763, c2=0.03165269509902246 ...................
[CV]  c1=0.5376623170157763, c2=0.03165269509902246, score=0.836665 -   1.2s
[CV] c1=0.6114893927817746, c2=0.01346223136352167 ...................
[CV]  c1=0.6114893927817746, c2=0.01346223136352167, score=0.706360 -   1.0s
[CV] c1=1.712602307538521, c2=0.025614638268012697 ...................
[CV]  c1=1.712602307538521, c2=0.025614638268012697, score=0.603781 -   1.2s
[CV] c1=0.004280375481517469, c2=0.06893125062265315 .................
[CV]  c1=0.004280375481517469, c2=0.06893125062265315, score=0.825153 -   1.2s
[CV] c1=0.44321564096984184, c2=0.06001467363316171 ..................
[CV]  c1=0.44321564096984184, c2=0.06001467363316171, score=0.779380 -   1.2s
[CV] c1=0.5999167110999838, c2=0.08917458775145574 ...................
[CV]  c1=0.5999167110999838, c2=0.08917458775145574, score=0.834559 -   1.2s
[CV] c1=0.7632984956410825, c2=0.007781081953930987 ..................
[CV]  c1=0.7632984956410825, c2=0.007781081953930987, score=0.694278 -   1.0s
[CV] c1=0.2234149043486308, c2=0.01878456810972893 ...................
[CV]  c1=0.2234149043486308, c2=0.01878456810972893, score=0.796356 -   1.3s
[CV] c1=0.4370112670942744, c2=0.000661116625983474 ..................
[CV]  c1=0.4370112670942744, c2=0.000661116625983474, score=0.810669 -   1.3s
[CV] c1=1.9500774980658668, c2=0.03676586576316026 ...................
[CV]  c1=1.9500774980658668, c2=0.03676586576316026, score=0.506330 -   0.8s
[CV] c1=0.9353511917566533, c2=0.007486552121014779 ..................
[CV]  c1=0.9353511917566533, c2=0.007486552121014779, score=0.672171 -   1.3s
[CV] c1=0.117214622648615, c2=0.020324649762193225 ...................
[CV]  c1=0.117214622648615, c2=0.020324649762193225, score=0.819377 -   1.2s
[CV] c1=0.03606063365558904, c2=0.03617302028693284 ..................
[CV]  c1=0.03606063365558904, c2=0.03617302028693284, score=0.832005 -   1.2s
[CV] c1=0.5644723829856853, c2=0.03897673998313579 ...................
[CV]  c1=0.5644723829856853, c2=0.03897673998313579, score=0.706360 -   1.0s
[CV] c1=0.07282759335197375, c2=0.09137606359763323 ..................
[CV]  c1=0.07282759335197375, c2=0.09137606359763323, score=0.813590 -   1.3s
[CV] c1=0.6697544056829773, c2=0.019169485489190008 ..................
[CV]  c1=0.6697544056829773, c2=0.019169485489190008, score=0.731494 -   1.2s
[CV] c1=0.7408359851743948, c2=0.006969535735520924 ..................
[CV]  c1=0.7408359851743948, c2=0.006969535735520924, score=0.756748 -   1.3s
[CV] c1=0.22320196368993245, c2=0.026843120015096707 .................
[CV]  c1=0.22320196368993245, c2=0.026843120015096707, score=0.725541 -   1.0s
[CV] c1=1.3245799820389643, c2=0.015431832319210246 ..................
[CV]  c1=1.3245799820389643, c2=0.015431832319210246, score=0.624109 -   1.1s
[CV] c1=0.3843055614927818, c2=0.03297254030791972 ...................
[CV]  c1=0.3843055614927818, c2=0.03297254030791972, score=0.760958 -   1.3s
[CV] c1=0.7143337985076442, c2=0.04733370448119783 ...................
[CV]  c1=0.7143337985076442, c2=0.04733370448119783, score=0.730624 -   1.3s
[CV] c1=0.4370112670942744, c2=0.000661116625983474 ..................
[CV]  c1=0.4370112670942744, c2=0.000661116625983474, score=0.899559 -   1.3s
[CV] c1=1.1940577561821795, c2=0.04032402680212494 ...................
[CV]  c1=1.1940577561821795, c2=0.04032402680212494, score=0.731745 -   1.0s
[CV] c1=0.2836650139340962, c2=0.09614042866665821 ...................
[CV]  c1=0.2836650139340962, c2=0.09614042866665821, score=0.763675 -   1.2s
[CV] c1=0.9816345515016357, c2=0.01849475940746483 ...................
[CV]  c1=0.9816345515016357, c2=0.01849475940746483, score=0.655279 -   0.9s
[CV] c1=0.4960684989645088, c2=0.019889939765478586 ..................
[CV]  c1=0.4960684989645088, c2=0.019889939765478586, score=0.742165 -   1.4s
[CV] c1=0.5254782946032572, c2=0.04949076095320749 ...................
[CV]  c1=0.5254782946032572, c2=0.04949076095320749, score=0.733959 -   1.3s
[CV] c1=0.15749139990758318, c2=0.010151515877192077 .................
[CV]  c1=0.15749139990758318, c2=0.010151515877192077, score=0.821841 -   1.3s
[CV] c1=0.6697544056829773, c2=0.019169485489190008 ..................
[CV]  c1=0.6697544056829773, c2=0.019169485489190008, score=0.694278 -   1.0s
[CV] c1=0.2760148171223355, c2=0.0045820292363562085 .................
[CV]  c1=0.2760148171223355, c2=0.0045820292363562085, score=0.806937 -   1.3s
[CV] c1=0.2001813954248959, c2=0.010949589654819694 ..................
[CV]  c1=0.2001813954248959, c2=0.010949589654819694, score=0.821649 -   1.3s
[CV] c1=1.3245799820389643, c2=0.015431832319210246 ..................
[CV]  c1=1.3245799820389643, c2=0.015431832319210246, score=0.811631 -   1.3s
[CV] c1=1.212635717833772, c2=0.19847187510768338 ....................
[CV]  c1=1.212635717833772, c2=0.19847187510768338, score=0.596301 -   1.4s
[CV] c1=1.3329813007276443, c2=0.028688367944776957 ..................
[CV]  c1=1.3329813007276443, c2=0.028688367944776957, score=0.768082 -   1.3s
[CV] c1=0.353600281430515, c2=0.025426931656911622 ...................
[CV]  c1=0.353600281430515, c2=0.025426931656911622, score=0.710693 -   1.0s
[CV] c1=1.1940577561821795, c2=0.04032402680212494 ...................
[CV]  c1=1.1940577561821795, c2=0.04032402680212494, score=0.776529 -   1.1s
[CV] c1=1.1123503234331973, c2=0.04688865155939009 ...................
[CV]  c1=1.1123503234331973, c2=0.04688865155939009, score=0.798983 -   1.1s
[CV] c1=0.09177221429781575, c2=0.0016433566726188735 ................
[CV]  c1=0.09177221429781575, c2=0.0016433566726188735, score=0.814173 -   1.3s
[CV] c1=0.03606063365558904, c2=0.03617302028693284 ..................
[CV]  c1=0.03606063365558904, c2=0.03617302028693284, score=0.831741 -   1.3s
[CV] c1=1.9216485823983485, c2=0.05017018808329378 ...................
[CV]  c1=1.9216485823983485, c2=0.05017018808329378, score=0.506330 -   1.0s
[CV] c1=0.7744267407940464, c2=0.031364629683681096 ..................
[CV]  c1=0.7744267407940464, c2=0.031364629683681096, score=0.661925 -   1.0s
[CV] c1=0.9117905818084969, c2=0.008011826555292858 ..................
[CV]  c1=0.9117905818084969, c2=0.008011826555292858, score=0.672171 -   1.3s
[CV] c1=0.7408359851743948, c2=0.006969535735520924 ..................
[CV]  c1=0.7408359851743948, c2=0.006969535735520924, score=0.699481 -   1.3s
[CV] c1=0.1962472901855242, c2=0.01057120863961361 ...................
[CV]  c1=0.1962472901855242, c2=0.01057120863961361, score=0.815586 -   1.3s
[CV] c1=1.3049260444190587, c2=0.00645914858387347 ...................
[CV]  c1=1.3049260444190587, c2=0.00645914858387347, score=0.619298 -   1.0s
[CV] c1=1.212635717833772, c2=0.19847187510768338 ....................
[CV]  c1=1.212635717833772, c2=0.19847187510768338, score=0.754148 -   1.2s
[CV] c1=0.2234149043486308, c2=0.01878456810972893 ...................
[CV]  c1=0.2234149043486308, c2=0.01878456810972893, score=0.872683 -   1.2s
[CV] c1=0.4370112670942744, c2=0.000661116625983474 ..................
[CV]  c1=0.4370112670942744, c2=0.000661116625983474, score=0.780535 -   1.3s
[CV] c1=1.1940577561821795, c2=0.04032402680212494 ...................
[CV]  c1=1.1940577561821795, c2=0.04032402680212494, score=0.575659 -   1.0s
[CV] c1=0.2836650139340962, c2=0.09614042866665821 ...................
[CV]  c1=0.2836650139340962, c2=0.09614042866665821, score=0.863954 -   1.2s
[CV] c1=0.9816345515016357, c2=0.01849475940746483 ...................
[CV]  c1=0.9816345515016357, c2=0.01849475940746483, score=0.664572 -   1.3s
[CV] c1=0.019164111570738954, c2=0.020281727867942436 ................
[CV]  c1=0.019164111570738954, c2=0.020281727867942436, score=0.693029 -   1.1s
[CV] c1=0.011352300404393029, c2=0.06102124341797182 .................
[CV]  c1=0.011352300404393029, c2=0.06102124341797182, score=0.896536 -   1.2s
[CV] c1=0.07282759335197375, c2=0.09137606359763323 ..................
[CV]  c1=0.07282759335197375, c2=0.09137606359763323, score=0.788572 -   1.3s
[CV] c1=0.6697544056829773, c2=0.019169485489190008 ..................
[CV]  c1=0.6697544056829773, c2=0.019169485489190008, score=0.721663 -   1.3s
[CV] c1=0.033861923538129626, c2=0.0066873174013024755 ...............
[CV]  c1=0.033861923538129626, c2=0.0066873174013024755, score=0.880592 -   1.2s
[CV] c1=0.22320196368993245, c2=0.026843120015096707 .................
[CV]  c1=0.22320196368993245, c2=0.026843120015096707, score=0.870426 -   1.3s
[CV] c1=1.3049260444190587, c2=0.00645914858387347 ...................
[CV]  c1=1.3049260444190587, c2=0.00645914858387347, score=0.639463 -   1.3s
[CV] c1=0.6941823606996005, c2=0.020475995301665464 ..................
[CV]  c1=0.6941823606996005, c2=0.020475995301665464, score=0.729148 -   1.3s
[CV] c1=0.84990341264485, c2=0.0008993422869333322 ...................
[CV]  c1=0.84990341264485, c2=0.0008993422869333322, score=0.839034 -   1.3s
[CV] c1=0.6728205259828046, c2=0.10122521670720185 ...................
[CV]  c1=0.6728205259828046, c2=0.10122521670720185, score=0.659076 -   1.0s
[CV] c1=0.35966234987459567, c2=0.06761442892555491 ..................
[CV]  c1=0.35966234987459567, c2=0.06761442892555491, score=0.693919 -   0.7s
[CV] c1=0.7410750725067845, c2=0.05669011378002567 ...................
[CV]  c1=0.7410750725067845, c2=0.05669011378002567, score=0.771785 -   1.3s
[CV] c1=0.7022682670923495, c2=0.044821078367516275 ..................
[CV]  c1=0.7022682670923495, c2=0.044821078367516275, score=0.722815 -   1.2s
[CV] c1=0.5254782946032572, c2=0.04949076095320749 ...................
[CV]  c1=0.5254782946032572, c2=0.04949076095320749, score=0.843370 -   1.2s
[CV] c1=0.6973547459858833, c2=0.052301988842656355 ..................
[CV]  c1=0.6973547459858833, c2=0.052301988842656355, score=0.785973 -   1.4s
[CV] c1=0.9117905818084969, c2=0.008011826555292858 ..................
[CV]  c1=0.9117905818084969, c2=0.008011826555292858, score=0.689021 -   1.3s
[CV] c1=0.2760148171223355, c2=0.0045820292363562085 .................
[CV]  c1=0.2760148171223355, c2=0.0045820292363562085, score=0.809310 -   1.3s
[CV] c1=0.2001813954248959, c2=0.010949589654819694 ..................
[CV]  c1=0.2001813954248959, c2=0.010949589654819694, score=0.808942 -   1.3s
[CV] c1=1.3245799820389643, c2=0.015431832319210246 ..................
[CV]  c1=1.3245799820389643, c2=0.015431832319210246, score=0.637313 -   1.3s
[CV] c1=1.212635717833772, c2=0.19847187510768338 ....................
[CV]  c1=1.212635717833772, c2=0.19847187510768338, score=0.718736 -   1.2s
[CV] c1=0.2234149043486308, c2=0.01878456810972893 ...................
[CV]  c1=0.2234149043486308, c2=0.01878456810972893, score=0.815220 -   1.2s
[CV] c1=0.4370112670942744, c2=0.000661116625983474 ..................
[CV]  c1=0.4370112670942744, c2=0.000661116625983474, score=0.804092 -   1.2s
[CV] c1=1.1940577561821795, c2=0.04032402680212494 ...................
[CV]  c1=1.1940577561821795, c2=0.04032402680212494, score=0.654703 -   1.0s
[CV] c1=0.6714292586631795, c2=0.2691278583932994 ....................
[CV]  c1=0.6714292586631795, c2=0.2691278583932994, score=0.794161 -   1.2s
[CV] c1=0.37492766119412924, c2=0.004703012591515287 .................
[CV]  c1=0.37492766119412924, c2=0.004703012591515287, score=0.798964 -   1.2s
[CV] c1=0.6549939384182106, c2=0.016146984330623046 ..................
[CV]  c1=0.6549939384182106, c2=0.016146984330623046, score=0.824953 -   1.4s
[CV] c1=0.4722333442301281, c2=0.019701716184538018 ..................
[CV]  c1=0.4722333442301281, c2=0.019701716184538018, score=0.832350 -   1.2s
[CV] c1=0.2492924363697574, c2=0.13935545214126396 ...................
[CV]  c1=0.2492924363697574, c2=0.13935545214126396, score=0.862964 -   1.3s
[CV] c1=0.47050898202516045, c2=0.061551660915008334 .................
[CV]  c1=0.47050898202516045, c2=0.061551660915008334, score=0.706360 -   1.0s
[CV] c1=1.2339242584856915, c2=0.032684596607488625 ..................
[CV]  c1=1.2339242584856915, c2=0.032684596607488625, score=0.575659 -   1.3s
[CV] c1=0.03575133696140669, c2=0.059714640071334826 .................
[CV]  c1=0.03575133696140669, c2=0.059714640071334826, score=0.738339 -   1.0s
[CV] c1=0.5999167110999838, c2=0.08917458775145574 ...................
[CV]  c1=0.5999167110999838, c2=0.08917458775145574, score=0.730610 -   1.2s
[CV] c1=0.7632984956410825, c2=0.007781081953930987 ..................
[CV]  c1=0.7632984956410825, c2=0.007781081953930987, score=0.726637 -   1.3s
[CV] c1=0.84990341264485, c2=0.0008993422869333322 ...................
[CV]  c1=0.84990341264485, c2=0.0008993422869333322, score=0.690009 -   1.0s
[CV] c1=0.37946035512402415, c2=0.04479664060509611 ..................
[CV]  c1=0.37946035512402415, c2=0.04479664060509611, score=0.710693 -   1.0s
[CV] c1=1.9500774980658668, c2=0.03676586576316026 ...................
[CV]  c1=1.9500774980658668, c2=0.03676586576316026, score=0.737670 -   1.0s
[CV] c1=1.1123503234331973, c2=0.04688865155939009 ...................
[CV]  c1=1.1123503234331973, c2=0.04688865155939009, score=0.641542 -   1.1s
[CV] c1=0.09177221429781575, c2=0.0016433566726188735 ................
[CV]  c1=0.09177221429781575, c2=0.0016433566726188735, score=0.822853 -   1.3s
[CV] c1=0.03606063365558904, c2=0.03617302028693284 ..................
[CV]  c1=0.03606063365558904, c2=0.03617302028693284, score=0.711528 -   1.1s
[CV] c1=0.011352300404393029, c2=0.06102124341797182 .................
[CV]  c1=0.011352300404393029, c2=0.06102124341797182, score=0.835961 -   1.3s
[CV] c1=0.7744267407940464, c2=0.031364629683681096 ..................
[CV]  c1=0.7744267407940464, c2=0.031364629683681096, score=0.745507 -   1.2s
[CV] c1=0.6245730072310559, c2=0.0098004715482529 ....................
[CV]  c1=0.6245730072310559, c2=0.0098004715482529, score=0.791731 -   1.3s
[CV] c1=0.004280375481517469, c2=0.06893125062265315 .................
[CV]  c1=0.004280375481517469, c2=0.06893125062265315, score=0.834061 -   1.3s
[CV] c1=0.08809632353541673, c2=0.026164910631421776 .................
[CV]  c1=0.08809632353541673, c2=0.026164910631421776, score=0.871600 -   1.3s
[CV] c1=0.2673711734184126, c2=0.25388739049485815 ...................
[CV]  c1=0.2673711734184126, c2=0.25388739049485815, score=0.682892 -   1.0s
[CV] c1=0.6941823606996005, c2=0.020475995301665464 ..................
[CV]  c1=0.6941823606996005, c2=0.020475995301665464, score=0.751917 -   1.3s
[CV] c1=1.3329813007276443, c2=0.028688367944776957 ..................
[CV]  c1=1.3329813007276443, c2=0.028688367944776957, score=0.731745 -   1.2s
[CV] c1=0.353600281430515, c2=0.025426931656911622 ...................
[CV]  c1=0.353600281430515, c2=0.025426931656911622, score=0.798964 -   1.2s
[CV] c1=1.9500774980658668, c2=0.03676586576316026 ...................
[CV]  c1=1.9500774980658668, c2=0.03676586576316026, score=0.635557 -   0.9s
[CV] c1=0.7410750725067845, c2=0.05669011378002567 ...................
[CV]  c1=0.7410750725067845, c2=0.05669011378002567, score=0.658385 -   0.9s
[CV] c1=0.37492766119412924, c2=0.004703012591515287 .................
[CV]  c1=0.37492766119412924, c2=0.004703012591515287, score=0.725541 -   1.0s
[CV] c1=0.019164111570738954, c2=0.020281727867942436 ................
[CV]  c1=0.019164111570738954, c2=0.020281727867942436, score=0.834061 -   1.2s
[CV] c1=0.38035823638965893, c2=0.027823671325239482 .................
[CV]  c1=0.38035823638965893, c2=0.027823671325239482, score=0.777679 -   1.2s
[CV] c1=0.05500729982906484, c2=0.051682455429066326 .................
[CV]  c1=0.05500729982906484, c2=0.051682455429066326, score=0.882871 -   1.3s
[CV] c1=1.712602307538521, c2=0.025614638268012697 ...................
[CV]  c1=1.712602307538521, c2=0.025614638268012697, score=0.750151 -   1.2s
[CV] c1=0.004280375481517469, c2=0.06893125062265315 .................
[CV]  c1=0.004280375481517469, c2=0.06893125062265315, score=0.740780 -   1.0s
[CV] c1=0.1962472901855242, c2=0.01057120863961361 ...................
[CV]  c1=0.1962472901855242, c2=0.01057120863961361, score=0.817155 -   1.2s
[CV] c1=1.3245799820389643, c2=0.015431832319210246 ..................
[CV]  c1=1.3245799820389643, c2=0.015431832319210246, score=0.731745 -   1.2s
[CV] c1=0.6941823606996005, c2=0.020475995301665464 ..................
[CV]  c1=0.6941823606996005, c2=0.020475995301665464, score=0.823571 -   1.3s
[CV] c1=1.3329813007276443, c2=0.028688367944776957 ..................
[CV]  c1=1.3329813007276443, c2=0.028688367944776957, score=0.626664 -   1.3s
[CV] c1=0.353600281430515, c2=0.025426931656911622 ...................
[CV]  c1=0.353600281430515, c2=0.025426931656911622, score=0.790889 -   1.2s
[CV] c1=1.9500774980658668, c2=0.03676586576316026 ...................
[CV]  c1=1.9500774980658668, c2=0.03676586576316026, score=0.610980 -   0.9s
[CV] c1=0.6714292586631795, c2=0.2691278583932994 ....................
[CV]  c1=0.6714292586631795, c2=0.2691278583932994, score=0.643906 -   1.3s
[CV] c1=0.09600068598707812, c2=0.013899168980296842 .................
[CV]  c1=0.09600068598707812, c2=0.013899168980296842, score=0.821649 -   1.1s
[CV] c1=0.6549939384182106, c2=0.016146984330623046 ..................
[CV]  c1=0.6549939384182106, c2=0.016146984330623046, score=0.701282 -   1.0s
[CV] c1=0.5644723829856853, c2=0.03897673998313579 ...................
[CV]  c1=0.5644723829856853, c2=0.03897673998313579, score=0.785587 -   1.3s
[CV] c1=0.1860718780380681, c2=0.1770944755789403 ....................
[CV]  c1=0.1860718780380681, c2=0.1770944755789403, score=0.757109 -   1.3s
[CV] c1=0.9708290603109275, c2=0.01970417969913912 ...................
[CV]  c1=0.9708290603109275, c2=0.01970417969913912, score=0.668484 -   1.3s
[CV] c1=0.5184533252723038, c2=0.15431291471689979 ...................
[CV]  c1=0.5184533252723038, c2=0.15431291471689979, score=0.831673 -   1.2s
[CV] c1=0.24292454555967824, c2=0.007824740142933549 .................
[CV]  c1=0.24292454555967824, c2=0.007824740142933549, score=0.727467 -   1.0s
[CV] c1=0.4441243002114684, c2=0.007689612134806405 ..................
[CV]  c1=0.4441243002114684, c2=0.007689612134806405, score=0.712028 -   1.0s
[CV] c1=0.7632984956410825, c2=0.007781081953930987 ..................
[CV]  c1=0.7632984956410825, c2=0.007781081953930987, score=0.745507 -   1.2s
[CV] c1=0.3737675915768977, c2=0.026070472362440134 ..................
[CV]  c1=0.3737675915768977, c2=0.026070472362440134, score=0.722677 -   1.1s
[CV] c1=0.353600281430515, c2=0.025426931656911622 ...................
[CV]  c1=0.353600281430515, c2=0.025426931656911622, score=0.761791 -   1.4s
[CV] c1=0.35966234987459567, c2=0.06761442892555491 ..................
[CV]  c1=0.35966234987459567, c2=0.06761442892555491, score=0.800436 -   0.8s
[CV] c1=0.07040608262508771, c2=0.0673817367564541 ...................
[CV]  c1=0.07040608262508771, c2=0.0673817367564541, score=0.732868 -   1.0s
[CV] c1=0.117214622648615, c2=0.020324649762193225 ...................
[CV]  c1=0.117214622648615, c2=0.020324649762193225, score=0.832432 -   1.2s
[CV] c1=0.03606063365558904, c2=0.03617302028693284 ..................
[CV]  c1=0.03606063365558904, c2=0.03617302028693284, score=0.784412 -   1.2s
[CV] c1=1.9216485823983485, c2=0.05017018808329378 ...................
[CV]  c1=1.9216485823983485, c2=0.05017018808329378, score=0.600172 -   1.3s
[CV] c1=0.6114893927817746, c2=0.01346223136352167 ...................
[CV]  c1=0.6114893927817746, c2=0.01346223136352167, score=0.871072 -   1.2s
[CV] c1=0.9708290603109275, c2=0.01970417969913912 ...................
[CV]  c1=0.9708290603109275, c2=0.01970417969913912, score=0.648884 -   1.1s
[CV] c1=1.2339242584856915, c2=0.032684596607488625 ..................
[CV]  c1=1.2339242584856915, c2=0.032684596607488625, score=0.800586 -   1.3s
[CV] c1=0.08809632353541673, c2=0.026164910631421776 .................
[CV]  c1=0.08809632353541673, c2=0.026164910631421776, score=0.683253 -   1.0s
[CV] c1=1.3049260444190587, c2=0.00645914858387347 ...................
[CV]  c1=1.3049260444190587, c2=0.00645914858387347, score=0.691681 -   1.3s
[CV] c1=0.7632984956410825, c2=0.007781081953930987 ..................
[CV]  c1=0.7632984956410825, c2=0.007781081953930987, score=0.822226 -   1.2s
[CV] c1=1.3329813007276443, c2=0.028688367944776957 ..................
[CV]  c1=1.3329813007276443, c2=0.028688367944776957, score=0.555403 -   1.2s
[CV] c1=0.37946035512402415, c2=0.04479664060509611 ..................
[CV]  c1=0.37946035512402415, c2=0.04479664060509611, score=0.862161 -   1.2s
[CV] c1=1.9500774980658668, c2=0.03676586576316026 ...................
[CV]  c1=1.9500774980658668, c2=0.03676586576316026, score=0.531270 -   1.0s
[CV] c1=0.9353511917566533, c2=0.007486552121014779 ..................
[CV]  c1=0.9353511917566533, c2=0.007486552121014779, score=0.745507 -   1.2s
[CV] c1=0.117214622648615, c2=0.020324649762193225 ...................
[CV]  c1=0.117214622648615, c2=0.020324649762193225, score=0.691033 -   1.0s
[CV] c1=0.056610259590950236, c2=0.08246459754361295 .................
[CV]  c1=0.056610259590950236, c2=0.08246459754361295, score=0.781773 -   1.4s
[CV] c1=0.5644723829856853, c2=0.03897673998313579 ...................
[CV]  c1=0.5644723829856853, c2=0.03897673998313579, score=0.830559 -   1.3s
[CV] c1=0.1860718780380681, c2=0.1770944755789403 ....................
[CV]  c1=0.1860718780380681, c2=0.1770944755789403, score=0.707149 -   1.0s
[CV] c1=0.6245730072310559, c2=0.0098004715482529 ....................
[CV]  c1=0.6245730072310559, c2=0.0098004715482529, score=0.746068 -   1.3s
[CV] c1=0.004280375481517469, c2=0.06893125062265315 .................
[CV]  c1=0.004280375481517469, c2=0.06893125062265315, score=0.890107 -   1.2s
[CV] c1=0.44321564096984184, c2=0.06001467363316171 ..................
[CV]  c1=0.44321564096984184, c2=0.06001467363316171, score=0.706360 -   1.0s
[CV] c1=1.3245799820389643, c2=0.015431832319210246 ..................
[CV]  c1=1.3245799820389643, c2=0.015431832319210246, score=0.565080 -   1.3s
[CV] c1=0.6941823606996005, c2=0.020475995301665464 ..................
[CV]  c1=0.6941823606996005, c2=0.020475995301665464, score=0.715940 -   1.3s
[CV] c1=0.3737675915768977, c2=0.026070472362440134 ..................
[CV]  c1=0.3737675915768977, c2=0.026070472362440134, score=0.873071 -   1.3s
[CV] c1=0.37946035512402415, c2=0.04479664060509611 ..................
[CV]  c1=0.37946035512402415, c2=0.04479664060509611, score=0.803390 -   1.3s
[CV] c1=0.35966234987459567, c2=0.06761442892555491 ..................
[CV]  c1=0.35966234987459567, c2=0.06761442892555491, score=0.802800 -   0.9s
[CV] c1=0.19023609844607728, c2=0.014299123139669821 .................
[CV]  c1=0.19023609844607728, c2=0.014299123139669821, score=0.723526 -   0.8s
[CV] c1=0.6701522375597455, c2=0.08483700023222884 ...................
[CV]  c1=0.6701522375597455, c2=0.08483700023222884, score=0.832920 -   1.3s
[CV] c1=0.4960684989645088, c2=0.019889939765478586 ..................
[CV]  c1=0.4960684989645088, c2=0.019889939765478586, score=0.712028 -   1.0s
[CV] c1=0.04592821129194885, c2=0.006430902318041845 .................
[CV]  c1=0.04592821129194885, c2=0.006430902318041845, score=0.823544 -   1.3s
[CV] c1=0.15749139990758318, c2=0.010151515877192077 .................
[CV]  c1=0.15749139990758318, c2=0.010151515877192077, score=0.874794 -   1.2s
[CV] c1=0.23600947592727128, c2=0.12260295653224032 ..................
[CV]  c1=0.23600947592727128, c2=0.12260295653224032, score=0.760396 -   1.3s
[CV] c1=0.2760148171223355, c2=0.0045820292363562085 .................
[CV]  c1=0.2760148171223355, c2=0.0045820292363562085, score=0.878347 -   1.3s
[CV] c1=0.2001813954248959, c2=0.010949589654819694 ..................
[CV]  c1=0.2001813954248959, c2=0.010949589654819694, score=0.812128 -   1.2s
[CV] c1=0.0425131087206805, c2=0.009268909852375941 ..................
[CV]  c1=0.0425131087206805, c2=0.009268909852375941, score=0.832432 -   1.3s
[CV] c1=0.3843055614927818, c2=0.03297254030791972 ...................
[CV]  c1=0.3843055614927818, c2=0.03297254030791972, score=0.796130 -   1.3s
[CV] c1=0.2234149043486308, c2=0.01878456810972893 ...................
[CV]  c1=0.2234149043486308, c2=0.01878456810972893, score=0.807541 -   1.4s
[CV] c1=0.353600281430515, c2=0.025426931656911622 ...................
[CV]  c1=0.353600281430515, c2=0.025426931656911622, score=0.872559 -   1.4s
[CV] c1=0.35966234987459567, c2=0.06761442892555491 ..................
[CV]  c1=0.35966234987459567, c2=0.06761442892555491, score=0.857243 -   0.9s
Training done in: 17.551511s
     Saving training model...
        Saving training model done in: 0.030838s
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Prediction done in: 0.058478s