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

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Run13_v11.txt 70.8 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: Run13
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: TrueS4: True
Run variant: 11
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003808s
-------------------------------- 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    -2:lemma  culture
7   -2:postag      VBN
8    +2:lemma  minimal
9   +2:postag       JJ
10     -1:ner        _
11     +1:ner      MED
12     -2:ner        _
13     +2:ner      MED
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6    -2:lemma     affyexp
7   -2:postag          JJ
8    +2:lemma     glucose
9   +2:postag          NN
10     -1:ner           _
11     +1:ner           _
12     -2:ner           _
13     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.29711351249253415, c2=0.04872044239104076 ..................
[CV]  c1=0.29711351249253415, c2=0.04872044239104076, score=0.858602 -   1.3s
[CV] c1=0.3916282043487168, c2=0.014611505382196447 ..................
[CV]  c1=0.3916282043487168, c2=0.014611505382196447, score=0.784015 -   1.2s
[CV] c1=0.14511560856834096, c2=0.03843065993106373 ..................
[CV]  c1=0.14511560856834096, c2=0.03843065993106373, score=0.787173 -   1.5s
[CV] c1=1.5338501112188279, c2=0.08422562142033317 ...................
[CV]  c1=1.5338501112188279, c2=0.08422562142033317, score=0.596221 -   1.1s
[CV] c1=0.05905497520121591, c2=0.012618646353375043 .................
[CV]  c1=0.05905497520121591, c2=0.012618646353375043, score=0.882041 -   1.3s
[CV] c1=0.07828702533634721, c2=0.028965843337331543 .................
[CV]  c1=0.07828702533634721, c2=0.028965843337331543, score=0.887720 -   1.4s
[CV] c1=0.4623656388820193, c2=0.06865264226596797 ...................
[CV]  c1=0.4623656388820193, c2=0.06865264226596797, score=0.735017 -   1.1s
[CV] c1=0.153893577918549, c2=0.032087789690024064 ...................
[CV]  c1=0.153893577918549, c2=0.032087789690024064, score=0.861157 -   1.3s
[CV] c1=0.5236989103997544, c2=0.013340804120832725 ..................
[CV]  c1=0.5236989103997544, c2=0.013340804120832725, score=0.752883 -   1.1s
[CV] c1=0.14106638364380492, c2=0.121753013613495 ....................
[CV]  c1=0.14106638364380492, c2=0.121753013613495, score=0.808738 -   1.4s
[CV] c1=0.27161491852907343, c2=0.00696271546912755 ..................
[CV]  c1=0.27161491852907343, c2=0.00696271546912755, score=0.778446 -   1.4s
[CV] c1=0.612390023344944, c2=0.06285900434695901 ....................
[CV]  c1=0.612390023344944, c2=0.06285900434695901, score=0.772837 -   1.5s
[CV] c1=0.12824660439149893, c2=0.03719057919291133 ..................
[CV]  c1=0.12824660439149893, c2=0.03719057919291133, score=0.787173 -   1.4s
[CV] c1=0.5177707334210474, c2=0.02535188651955522 ...................
[CV]  c1=0.5177707334210474, c2=0.02535188651955522, score=0.791204 -   1.4s
[CV] c1=0.14511560856834096, c2=0.03843065993106373 ..................
[CV]  c1=0.14511560856834096, c2=0.03843065993106373, score=0.783559 -   1.1s
[CV] c1=0.05323353460655377, c2=0.025222893553162703 .................
[CV]  c1=0.05323353460655377, c2=0.025222893553162703, score=0.777133 -   1.5s
[CV] c1=0.7750940293520174, c2=0.033386958510169554 ..................
[CV]  c1=0.7750940293520174, c2=0.033386958510169554, score=0.784938 -   1.3s
[CV] c1=0.12414309401420666, c2=0.030048906602496556 .................
[CV]  c1=0.12414309401420666, c2=0.030048906602496556, score=0.790857 -   1.4s
[CV] c1=0.1633907799582693, c2=0.03158932332068684 ...................
[CV]  c1=0.1633907799582693, c2=0.03158932332068684, score=0.793341 -   1.4s
[CV] c1=0.10918654537371537, c2=0.08730452858447524 ..................
[CV]  c1=0.10918654537371537, c2=0.08730452858447524, score=0.772146 -   1.4s
[CV] c1=0.09391809817252798, c2=0.04169195146893944 ..................
[CV]  c1=0.09391809817252798, c2=0.04169195146893944, score=0.829027 -   1.4s
[CV] c1=0.397432500968486, c2=0.10194835190492622 ....................
[CV]  c1=0.397432500968486, c2=0.10194835190492622, score=0.719134 -   1.2s
[CV] c1=0.12196487000054748, c2=0.0011381132254349965 ................
[CV]  c1=0.12196487000054748, c2=0.0011381132254349965, score=0.869210 -   1.3s
[CV] c1=0.0565111695049268, c2=0.0329650056520118 ....................
[CV]  c1=0.0565111695049268, c2=0.0329650056520118, score=0.860889 -   1.3s
[CV] c1=1.234660890707312, c2=0.010253306881834703 ...................
[CV]  c1=1.234660890707312, c2=0.010253306881834703, score=0.568754 -   1.4s
[CV] c1=0.3916282043487168, c2=0.014611505382196447 ..................
[CV]  c1=0.3916282043487168, c2=0.014611505382196447, score=0.895941 -   1.4s
[CV] c1=0.7428437144768885, c2=0.022498339125803502 ..................
[CV]  c1=0.7428437144768885, c2=0.022498339125803502, score=0.860773 -   1.6s
[CV] c1=0.2979439715264978, c2=0.2059182050368441 ....................
[CV]  c1=0.2979439715264978, c2=0.2059182050368441, score=0.859142 -   1.4s
[CV] c1=1.4528596744703972, c2=0.09649674466289851 ...................
[CV]  c1=1.4528596744703972, c2=0.09649674466289851, score=0.806376 -   1.4s
[CV] c1=0.1319535359659338, c2=0.003963940060038749 ..................
[CV]  c1=0.1319535359659338, c2=0.003963940060038749, score=0.891892 -   1.4s
[CV] c1=0.1527214174501827, c2=0.14772801117596965 ...................
[CV]  c1=0.1527214174501827, c2=0.14772801117596965, score=0.747554 -   1.2s
[CV] c1=0.25752241877046567, c2=0.02864112435954601 ..................
[CV]  c1=0.25752241877046567, c2=0.02864112435954601, score=0.754561 -   1.2s
[CV] c1=0.09391809817252798, c2=0.04169195146893944 ..................
[CV]  c1=0.09391809817252798, c2=0.04169195146893944, score=0.886279 -   1.4s
[CV] c1=0.07029022528564866, c2=0.023835907572670796 .................
[CV]  c1=0.07029022528564866, c2=0.023835907572670796, score=0.893452 -   1.4s
[CV] c1=0.12196487000054748, c2=0.0011381132254349965 ................
[CV]  c1=0.12196487000054748, c2=0.0011381132254349965, score=0.788333 -   1.1s
[CV] c1=0.21064119539497236, c2=0.03538594601252672 ..................
[CV]  c1=0.21064119539497236, c2=0.03538594601252672, score=0.784827 -   1.4s
[CV] c1=0.29711351249253415, c2=0.04872044239104076 ..................
[CV]  c1=0.29711351249253415, c2=0.04872044239104076, score=0.888431 -   1.4s
[CV] c1=0.3916282043487168, c2=0.014611505382196447 ..................
[CV]  c1=0.3916282043487168, c2=0.014611505382196447, score=0.813533 -   1.4s
[CV] c1=0.7428437144768885, c2=0.022498339125803502 ..................
[CV]  c1=0.7428437144768885, c2=0.022498339125803502, score=0.696593 -   1.5s
[CV] c1=1.5338501112188279, c2=0.08422562142033317 ...................
[CV]  c1=1.5338501112188279, c2=0.08422562142033317, score=0.707695 -   1.3s
[CV] c1=1.0795494852971057, c2=0.0985587588945551 ....................
[CV]  c1=1.0795494852971057, c2=0.0985587588945551, score=0.753213 -   1.4s
[CV] c1=0.5002374988515533, c2=0.037179622246375395 ..................
[CV]  c1=0.5002374988515533, c2=0.037179622246375395, score=0.826708 -   1.4s
[CV] c1=0.23297063335608598, c2=0.005202603296773344 .................
[CV]  c1=0.23297063335608598, c2=0.005202603296773344, score=0.782530 -   1.4s
[CV] c1=0.25752241877046567, c2=0.02864112435954601 ..................
[CV]  c1=0.25752241877046567, c2=0.02864112435954601, score=0.787829 -   1.5s
[CV] c1=0.5317199308569328, c2=0.06256472666666905 ...................
[CV]  c1=0.5317199308569328, c2=0.06256472666666905, score=0.736988 -   1.0s
[CV] c1=0.07029022528564866, c2=0.023835907572670796 .................
[CV]  c1=0.07029022528564866, c2=0.023835907572670796, score=0.829168 -   1.4s
[CV] c1=0.25770798824071633, c2=0.015028776895244417 .................
[CV]  c1=0.25770798824071633, c2=0.015028776895244417, score=0.889512 -   1.4s
[CV] c1=0.044938026445574486, c2=0.023864978593171392 ................
[CV]  c1=0.044938026445574486, c2=0.023864978593171392, score=0.788784 -   1.1s
[CV] c1=1.234660890707312, c2=0.010253306881834703 ...................
[CV]  c1=1.234660890707312, c2=0.010253306881834703, score=0.723992 -   1.4s
[CV] c1=1.3744975959083345, c2=0.15115113676427155 ...................
[CV]  c1=1.3744975959083345, c2=0.15115113676427155, score=0.614702 -   1.3s
[CV] c1=0.14511560856834096, c2=0.03843065993106373 ..................
[CV]  c1=0.14511560856834096, c2=0.03843065993106373, score=0.787829 -   1.4s
[CV] c1=1.5338501112188279, c2=0.08422562142033317 ...................
[CV]  c1=1.5338501112188279, c2=0.08422562142033317, score=0.802203 -   1.4s
[CV] c1=1.0795494852971057, c2=0.0985587588945551 ....................
[CV]  c1=1.0795494852971057, c2=0.0985587588945551, score=0.640495 -   1.2s
[CV] c1=0.07828702533634721, c2=0.028965843337331543 .................
[CV]  c1=0.07828702533634721, c2=0.028965843337331543, score=0.789471 -   1.1s
[CV] c1=0.43482910462649393, c2=0.013872127174737188 .................
[CV]  c1=0.43482910462649393, c2=0.013872127174737188, score=0.823761 -   1.3s
[CV] c1=0.153893577918549, c2=0.032087789690024064 ...................
[CV]  c1=0.153893577918549, c2=0.032087789690024064, score=0.787173 -   1.4s
[CV] c1=0.3775882853038194, c2=0.15138760195476922 ...................
[CV]  c1=0.3775882853038194, c2=0.15138760195476922, score=0.863525 -   1.4s
[CV] c1=0.24693398103660819, c2=0.014485728640724041 .................
[CV]  c1=0.24693398103660819, c2=0.014485728640724041, score=0.734382 -   1.1s
[CV] c1=0.27161491852907343, c2=0.00696271546912755 ..................
[CV]  c1=0.27161491852907343, c2=0.00696271546912755, score=0.801479 -   1.5s
[CV] c1=0.21064119539497236, c2=0.03538594601252672 ..................
[CV]  c1=0.21064119539497236, c2=0.03538594601252672, score=0.861157 -   1.4s
[CV] c1=0.19178541135934635, c2=0.04734269889691574 ..................
[CV]  c1=0.19178541135934635, c2=0.04734269889691574, score=0.785161 -   1.3s
[CV] c1=1.3141062686340936, c2=0.15457982834048212 ...................
[CV]  c1=1.3141062686340936, c2=0.15457982834048212, score=0.557741 -   1.4s
[CV] c1=0.14070517608638713, c2=0.1574916522627922 ...................
[CV]  c1=0.14070517608638713, c2=0.1574916522627922, score=0.728422 -   1.1s
[CV] c1=0.5539697463628143, c2=0.009024462996978571 ..................
[CV]  c1=0.5539697463628143, c2=0.009024462996978571, score=0.886974 -   1.5s
[CV] c1=0.9122148334853062, c2=0.013256200947447953 ..................
[CV]  c1=0.9122148334853062, c2=0.013256200947447953, score=0.784938 -   1.4s
[CV] c1=0.5588378560291549, c2=0.03260593058734559 ...................
[CV]  c1=0.5588378560291549, c2=0.03260593058734559, score=0.807349 -   1.4s
[CV] c1=0.6886773659826522, c2=0.005976443999372701 ..................
[CV]  c1=0.6886773659826522, c2=0.005976443999372701, score=0.811193 -   1.3s
[CV] c1=0.5359284933532247, c2=0.09232700164151013 ...................
[CV]  c1=0.5359284933532247, c2=0.09232700164151013, score=0.772837 -   1.4s
[CV] c1=0.17969022300491533, c2=0.10323708464698939 ..................
[CV]  c1=0.17969022300491533, c2=0.10323708464698939, score=0.881712 -   1.4s
[CV] c1=0.17434322826540982, c2=0.0013613397087539065 ................
[CV]  c1=0.17434322826540982, c2=0.0013613397087539065, score=0.790413 -   1.4s
[CV] c1=0.27161491852907343, c2=0.00696271546912755 ..................
[CV]  c1=0.27161491852907343, c2=0.00696271546912755, score=0.863073 -   1.4s
[CV] c1=0.21064119539497236, c2=0.03538594601252672 ..................
[CV]  c1=0.21064119539497236, c2=0.03538594601252672, score=0.883574 -   1.4s
[CV] c1=0.19178541135934635, c2=0.04734269889691574 ..................
[CV]  c1=0.19178541135934635, c2=0.04734269889691574, score=0.796160 -   1.5s
[CV] c1=0.5444301818752715, c2=0.0035020310277991754 .................
[CV]  c1=0.5444301818752715, c2=0.0035020310277991754, score=0.818233 -   1.4s
[CV] c1=0.033466772265104076, c2=0.0031954354653611935 ...............
[CV]  c1=0.033466772265104076, c2=0.0031954354653611935, score=0.882871 -   1.4s
[CV] c1=0.05323353460655377, c2=0.025222893553162703 .................
[CV]  c1=0.05323353460655377, c2=0.025222893553162703, score=0.839684 -   1.3s
[CV] c1=0.3942197916786504, c2=0.020446905306382723 ..................
[CV]  c1=0.3942197916786504, c2=0.020446905306382723, score=0.756340 -   1.5s
[CV] c1=0.13075521356078265, c2=0.003934462107809462 .................
[CV]  c1=0.13075521356078265, c2=0.003934462107809462, score=0.808190 -   1.4s
[CV] c1=0.1633907799582693, c2=0.03158932332068684 ...................
[CV]  c1=0.1633907799582693, c2=0.03158932332068684, score=0.848768 -   1.3s
[CV] c1=0.10918654537371537, c2=0.08730452858447524 ..................
[CV]  c1=0.10918654537371537, c2=0.08730452858447524, score=0.888779 -   1.4s
[CV] c1=0.3775882853038194, c2=0.15138760195476922 ...................
[CV]  c1=0.3775882853038194, c2=0.15138760195476922, score=0.761013 -   1.5s
[CV] c1=0.07029022528564866, c2=0.023835907572670796 .................
[CV]  c1=0.07029022528564866, c2=0.023835907572670796, score=0.841357 -   1.3s
[CV] c1=0.5109073351087475, c2=0.003273262336078374 ..................
[CV]  c1=0.5109073351087475, c2=0.003273262336078374, score=0.781732 -   1.5s
[CV] c1=1.2092009100285153, c2=0.07640995865078352 ...................
[CV]  c1=1.2092009100285153, c2=0.07640995865078352, score=0.756764 -   1.3s
[CV] c1=1.234660890707312, c2=0.010253306881834703 ...................
[CV]  c1=1.234660890707312, c2=0.010253306881834703, score=0.635583 -   1.4s
[CV] c1=1.3744975959083345, c2=0.15115113676427155 ...................
[CV]  c1=1.3744975959083345, c2=0.15115113676427155, score=0.708591 -   1.3s
[CV] c1=0.14511560856834096, c2=0.03843065993106373 ..................
[CV]  c1=0.14511560856834096, c2=0.03843065993106373, score=0.885686 -   1.4s
[CV] c1=0.10629412182757157, c2=0.07538222518627408 ..................
[CV]  c1=0.10629412182757157, c2=0.07538222518627408, score=0.860889 -   1.3s
[CV] c1=0.05905497520121591, c2=0.012618646353375043 .................
[CV]  c1=0.05905497520121591, c2=0.012618646353375043, score=0.836410 -   1.3s
[CV] c1=0.07828702533634721, c2=0.028965843337331543 .................
[CV]  c1=0.07828702533634721, c2=0.028965843337331543, score=0.800547 -   1.4s
[CV] c1=0.4623656388820193, c2=0.06865264226596797 ...................
[CV]  c1=0.4623656388820193, c2=0.06865264226596797, score=0.777855 -   1.4s
[CV] c1=0.25752241877046567, c2=0.02864112435954601 ..................
[CV]  c1=0.25752241877046567, c2=0.02864112435954601, score=0.891330 -   1.5s
[CV] c1=0.14535947865635043, c2=0.04141314941295057 ..................
[CV]  c1=0.14535947865635043, c2=0.04141314941295057, score=0.861157 -   1.4s
[CV] c1=0.397432500968486, c2=0.10194835190492622 ....................
[CV]  c1=0.397432500968486, c2=0.10194835190492622, score=0.814120 -   1.3s
[CV] c1=0.25770798824071633, c2=0.015028776895244417 .................
[CV]  c1=0.25770798824071633, c2=0.015028776895244417, score=0.781050 -   1.1s
[CV] c1=0.0565111695049268, c2=0.0329650056520118 ....................
[CV]  c1=0.0565111695049268, c2=0.0329650056520118, score=0.816957 -   1.4s
[CV] c1=1.234660890707312, c2=0.010253306881834703 ...................
[CV]  c1=1.234660890707312, c2=0.010253306881834703, score=0.666185 -   1.1s
[CV] c1=0.28033072355547195, c2=0.02671494506461704 ..................
[CV]  c1=0.28033072355547195, c2=0.02671494506461704, score=0.776776 -   1.5s
[CV] c1=0.1691928831172527, c2=0.08355061491989856 ...................
[CV]  c1=0.1691928831172527, c2=0.08355061491989856, score=0.779123 -   1.4s
[CV] c1=0.10629412182757157, c2=0.07538222518627408 ..................
[CV]  c1=0.10629412182757157, c2=0.07538222518627408, score=0.712784 -   1.1s
[CV] c1=0.7750940293520174, c2=0.033386958510169554 ..................
[CV]  c1=0.7750940293520174, c2=0.033386958510169554, score=0.856955 -   1.5s
[CV] c1=0.12414309401420666, c2=0.030048906602496556 .................
[CV]  c1=0.12414309401420666, c2=0.030048906602496556, score=0.857782 -   1.3s
[CV] c1=0.1633907799582693, c2=0.03158932332068684 ...................
[CV]  c1=0.1633907799582693, c2=0.03158932332068684, score=0.787173 -   1.3s
[CV] c1=0.5384843582640627, c2=0.01640268309633151 ...................
[CV]  c1=0.5384843582640627, c2=0.01640268309633151, score=0.737779 -   1.4s
[CV] c1=0.3775882853038194, c2=0.15138760195476922 ...................
[CV]  c1=0.3775882853038194, c2=0.15138760195476922, score=0.708466 -   1.4s
[CV] c1=0.24693398103660819, c2=0.014485728640724041 .................
[CV]  c1=0.24693398103660819, c2=0.014485728640724041, score=0.806990 -   1.5s
[CV] c1=0.12196487000054748, c2=0.0011381132254349965 ................
[CV]  c1=0.12196487000054748, c2=0.0011381132254349965, score=0.809809 -   1.5s
[CV] c1=0.044938026445574486, c2=0.023864978593171392 ................
[CV]  c1=0.044938026445574486, c2=0.023864978593171392, score=0.803138 -   1.2s
[CV] c1=0.29711351249253415, c2=0.04872044239104076 ..................
[CV]  c1=0.29711351249253415, c2=0.04872044239104076, score=0.762598 -   1.4s
[CV] c1=0.3916282043487168, c2=0.014611505382196447 ..................
[CV]  c1=0.3916282043487168, c2=0.014611505382196447, score=0.799111 -   1.4s
[CV] c1=0.7428437144768885, c2=0.022498339125803502 ..................
[CV]  c1=0.7428437144768885, c2=0.022498339125803502, score=0.763024 -   1.4s
[CV] c1=1.5338501112188279, c2=0.08422562142033317 ...................
[CV]  c1=1.5338501112188279, c2=0.08422562142033317, score=0.552594 -   1.4s
[CV] c1=1.0795494852971057, c2=0.0985587588945551 ....................
[CV]  c1=1.0795494852971057, c2=0.0985587588945551, score=0.603324 -   1.4s
[CV] c1=0.1319535359659338, c2=0.003963940060038749 ..................
[CV]  c1=0.1319535359659338, c2=0.003963940060038749, score=0.783522 -   1.2s
[CV] c1=0.23297063335608598, c2=0.005202603296773344 .................
[CV]  c1=0.23297063335608598, c2=0.005202603296773344, score=0.768001 -   1.0s
[CV] c1=0.5384843582640627, c2=0.01640268309633151 ...................
[CV]  c1=0.5384843582640627, c2=0.01640268309633151, score=0.852416 -   1.4s
[CV] c1=0.3775882853038194, c2=0.15138760195476922 ...................
[CV]  c1=0.3775882853038194, c2=0.15138760195476922, score=0.795813 -   1.3s
[CV] c1=0.24693398103660819, c2=0.014485728640724041 .................
[CV]  c1=0.24693398103660819, c2=0.014485728640724041, score=0.788510 -   1.4s
[CV] c1=0.5109073351087475, c2=0.003273262336078374 ..................
[CV]  c1=0.5109073351087475, c2=0.003273262336078374, score=0.834236 -   1.4s
[CV] c1=0.0565111695049268, c2=0.0329650056520118 ....................
[CV]  c1=0.0565111695049268, c2=0.0329650056520118, score=0.792496 -   1.3s
[CV] c1=1.4480067085320678, c2=0.03897073706221991 ...................
[CV]  c1=1.4480067085320678, c2=0.03897073706221991, score=0.556652 -   1.4s
[CV] c1=0.28033072355547195, c2=0.02671494506461704 ..................
[CV]  c1=0.28033072355547195, c2=0.02671494506461704, score=0.889512 -   1.5s
[CV] c1=0.033466772265104076, c2=0.0031954354653611935 ...............
[CV]  c1=0.033466772265104076, c2=0.0031954354653611935, score=0.831625 -   1.4s
[CV] c1=0.1045493357093721, c2=0.019033029719578126 ..................
[CV]  c1=0.1045493357093721, c2=0.019033029719578126, score=0.775102 -   1.2s
[CV] c1=0.3942197916786504, c2=0.020446905306382723 ..................
[CV]  c1=0.3942197916786504, c2=0.020446905306382723, score=0.883646 -   1.4s
[CV] c1=0.13075521356078265, c2=0.003934462107809462 .................
[CV]  c1=0.13075521356078265, c2=0.003934462107809462, score=0.788510 -   1.5s
[CV] c1=0.1633907799582693, c2=0.03158932332068684 ...................
[CV]  c1=0.1633907799582693, c2=0.03158932332068684, score=0.883574 -   1.4s
[CV] c1=0.5384843582640627, c2=0.01640268309633151 ...................
[CV]  c1=0.5384843582640627, c2=0.01640268309633151, score=0.869955 -   1.5s
[CV] c1=0.09391809817252798, c2=0.04169195146893944 ..................
[CV]  c1=0.09391809817252798, c2=0.04169195146893944, score=0.732417 -   1.1s
[CV] c1=0.2202380963970354, c2=0.02845813344588164 ...................
[CV]  c1=0.2202380963970354, c2=0.02845813344588164, score=0.863073 -   1.4s
[CV] c1=0.3202807373741395, c2=0.006757874822303774 ..................
[CV]  c1=0.3202807373741395, c2=0.006757874822303774, score=0.863633 -   1.4s
[CV] c1=0.21064119539497236, c2=0.03538594601252672 ..................
[CV]  c1=0.21064119539497236, c2=0.03538594601252672, score=0.787829 -   1.4s
[CV] c1=0.6118336538354819, c2=0.013475811798893487 ..................
[CV]  c1=0.6118336538354819, c2=0.013475811798893487, score=0.710776 -   0.8s
[CV] c1=1.1190891861386985, c2=0.0475532869541968 ....................
[CV]  c1=1.1190891861386985, c2=0.0475532869541968, score=0.839446 -   1.5s
[CV] c1=0.39386942289881843, c2=0.08245560602719254 ..................
[CV]  c1=0.39386942289881843, c2=0.08245560602719254, score=0.868327 -   1.5s
[CV] c1=0.04050615596722123, c2=0.19816567282491093 ..................
[CV]  c1=0.04050615596722123, c2=0.19816567282491093, score=0.764837 -   1.4s
[CV] c1=0.2979439715264978, c2=0.2059182050368441 ....................
[CV]  c1=0.2979439715264978, c2=0.2059182050368441, score=0.741650 -   1.4s
[CV] c1=0.12403049903726275, c2=0.018588710042572208 .................
[CV]  c1=0.12403049903726275, c2=0.018588710042572208, score=0.884503 -   1.4s
[CV] c1=0.11324360917698002, c2=0.04768062623898021 ..................
[CV]  c1=0.11324360917698002, c2=0.04768062623898021, score=0.744258 -   1.1s
[CV] c1=0.1527214174501827, c2=0.14772801117596965 ...................
[CV]  c1=0.1527214174501827, c2=0.14772801117596965, score=0.886916 -   1.6s
[CV] c1=0.08756121854078795, c2=0.023018022987103412 .................
[CV]  c1=0.08756121854078795, c2=0.023018022987103412, score=0.828690 -   1.5s
[CV] c1=0.4016756720252943, c2=0.025730610292401604 ..................
[CV]  c1=0.4016756720252943, c2=0.025730610292401604, score=0.839855 -   1.3s
[CV] c1=0.0033888831445760582, c2=0.06682423302315157 ................
[CV]  c1=0.0033888831445760582, c2=0.06682423302315157, score=0.742004 -   1.2s
[CV] c1=1.1278220552405573, c2=0.05041079092767255 ...................
[CV]  c1=1.1278220552405573, c2=0.05041079092767255, score=0.692175 -   1.1s
[CV] c1=1.2092009100285153, c2=0.07640995865078352 ...................
[CV]  c1=1.2092009100285153, c2=0.07640995865078352, score=0.572160 -   1.3s
[CV] c1=0.12824660439149893, c2=0.03719057919291133 ..................
[CV]  c1=0.12824660439149893, c2=0.03719057919291133, score=0.796160 -   1.4s
[CV] c1=1.3744975959083345, c2=0.15115113676427155 ...................
[CV]  c1=1.3744975959083345, c2=0.15115113676427155, score=0.611859 -   1.1s
[CV] c1=0.033466772265104076, c2=0.0031954354653611935 ...............
[CV]  c1=0.033466772265104076, c2=0.0031954354653611935, score=0.838216 -   1.3s
[CV] c1=0.05323353460655377, c2=0.025222893553162703 .................
[CV]  c1=0.05323353460655377, c2=0.025222893553162703, score=0.791240 -   1.4s
[CV] c1=0.3942197916786504, c2=0.020446905306382723 ..................
[CV]  c1=0.3942197916786504, c2=0.020446905306382723, score=0.801193 -   1.4s
[CV] c1=0.12414309401420666, c2=0.030048906602496556 .................
[CV]  c1=0.12414309401420666, c2=0.030048906602496556, score=0.781635 -   1.1s
[CV] c1=0.43482910462649393, c2=0.013872127174737188 .................
[CV]  c1=0.43482910462649393, c2=0.013872127174737188, score=0.892873 -   1.4s
[CV] c1=0.153893577918549, c2=0.032087789690024064 ...................
[CV]  c1=0.153893577918549, c2=0.032087789690024064, score=0.882516 -   1.4s
[CV] c1=0.5236989103997544, c2=0.013340804120832725 ..................
[CV]  c1=0.5236989103997544, c2=0.013340804120832725, score=0.745201 -   1.4s
[CV] c1=0.2202380963970354, c2=0.02845813344588164 ...................
[CV]  c1=0.2202380963970354, c2=0.02845813344588164, score=0.801479 -   1.4s
[CV] c1=0.5109073351087475, c2=0.003273262336078374 ..................
[CV]  c1=0.5109073351087475, c2=0.003273262336078374, score=0.730151 -   1.4s
[CV] c1=1.2092009100285153, c2=0.07640995865078352 ...................
[CV]  c1=1.2092009100285153, c2=0.07640995865078352, score=0.835864 -   1.3s
[CV] c1=1.4480067085320678, c2=0.03897073706221991 ...................
[CV]  c1=1.4480067085320678, c2=0.03897073706221991, score=0.716699 -   1.2s
[CV] c1=0.5444301818752715, c2=0.0035020310277991754 .................
[CV]  c1=0.5444301818752715, c2=0.0035020310277991754, score=0.892423 -   1.3s
[CV] c1=0.14070517608638713, c2=0.1574916522627922 ...................
[CV]  c1=0.14070517608638713, c2=0.1574916522627922, score=0.893499 -   1.3s
[CV] c1=0.15296512619642785, c2=0.2580260126063098 ...................
[CV]  c1=0.15296512619642785, c2=0.2580260126063098, score=0.869369 -   1.3s
[CV] c1=0.9122148334853062, c2=0.013256200947447953 ..................
[CV]  c1=0.9122148334853062, c2=0.013256200947447953, score=0.640041 -   1.4s
[CV] c1=0.07557711659700299, c2=0.010175482515243438 .................
[CV]  c1=0.07557711659700299, c2=0.010175482515243438, score=0.789471 -   1.1s
[CV] c1=0.11324360917698002, c2=0.04768062623898021 ..................
[CV]  c1=0.11324360917698002, c2=0.04768062623898021, score=0.780793 -   1.4s
[CV] c1=0.5359284933532247, c2=0.09232700164151013 ...................
[CV]  c1=0.5359284933532247, c2=0.09232700164151013, score=0.860995 -   1.6s
[CV] c1=0.33604869238364465, c2=0.03578293754594072 ..................
[CV]  c1=0.33604869238364465, c2=0.03578293754594072, score=0.785352 -   1.3s
[CV] c1=0.17434322826540982, c2=0.0013613397087539065 ................
[CV]  c1=0.17434322826540982, c2=0.0013613397087539065, score=0.772441 -   1.1s
[CV] c1=0.0033888831445760582, c2=0.06682423302315157 ................
[CV]  c1=0.0033888831445760582, c2=0.06682423302315157, score=0.817408 -   1.5s
[CV] c1=0.24987543278671823, c2=0.055970310749963705 .................
[CV]  c1=0.24987543278671823, c2=0.055970310749963705, score=0.759903 -   1.1s
[CV] c1=0.017382129491243216, c2=0.009604668865175775 ................
[CV]  c1=0.017382129491243216, c2=0.009604668865175775, score=0.775318 -   0.9s
[CV] c1=0.4296401900494191, c2=0.08115251209893132 ...................
[CV]  c1=0.4296401900494191, c2=0.08115251209893132, score=0.714326 -   1.4s
[CV] c1=0.5177707334210474, c2=0.02535188651955522 ...................
[CV]  c1=0.5177707334210474, c2=0.02535188651955522, score=0.712565 -   1.4s
[CV] c1=0.1691928831172527, c2=0.08355061491989856 ...................
[CV]  c1=0.1691928831172527, c2=0.08355061491989856, score=0.855582 -   1.3s
[CV] c1=0.1045493357093721, c2=0.019033029719578126 ..................
[CV]  c1=0.1045493357093721, c2=0.019033029719578126, score=0.791233 -   1.4s
[CV] c1=0.7750940293520174, c2=0.033386958510169554 ..................
[CV]  c1=0.7750940293520174, c2=0.033386958510169554, score=0.690658 -   1.4s
[CV] c1=0.12414309401420666, c2=0.030048906602496556 .................
[CV]  c1=0.12414309401420666, c2=0.030048906602496556, score=0.828690 -   1.5s
[CV] c1=0.4623656388820193, c2=0.06865264226596797 ...................
[CV]  c1=0.4623656388820193, c2=0.06865264226596797, score=0.823902 -   1.4s
[CV] c1=0.10918654537371537, c2=0.08730452858447524 ..................
[CV]  c1=0.10918654537371537, c2=0.08730452858447524, score=0.859963 -   1.3s
[CV] c1=0.09391809817252798, c2=0.04169195146893944 ..................
[CV]  c1=0.09391809817252798, c2=0.04169195146893944, score=0.860889 -   1.3s
[CV] c1=0.07029022528564866, c2=0.023835907572670796 .................
[CV]  c1=0.07029022528564866, c2=0.023835907572670796, score=0.793246 -   1.4s
[CV] c1=0.12196487000054748, c2=0.0011381132254349965 ................
[CV]  c1=0.12196487000054748, c2=0.0011381132254349965, score=0.859573 -   1.3s
[CV] c1=1.2092009100285153, c2=0.07640995865078352 ...................
[CV]  c1=1.2092009100285153, c2=0.07640995865078352, score=0.615444 -   1.4s
[CV] c1=0.09496366433556683, c2=0.018255363818065588 .................
[CV]  c1=0.09496366433556683, c2=0.018255363818065588, score=0.828690 -   1.0s
[CV] c1=1.1190891861386985, c2=0.0475532869541968 ....................
[CV]  c1=1.1190891861386985, c2=0.0475532869541968, score=0.597118 -   1.4s
[CV] c1=0.7629970698187368, c2=0.018280189562772393 ..................
[CV]  c1=0.7629970698187368, c2=0.018280189562772393, score=0.696969 -   1.2s
[CV] c1=0.04050615596722123, c2=0.19816567282491093 ..................
[CV]  c1=0.04050615596722123, c2=0.19816567282491093, score=0.859592 -   1.3s
[CV] c1=0.2979439715264978, c2=0.2059182050368441 ....................
[CV]  c1=0.2979439715264978, c2=0.2059182050368441, score=0.820232 -   1.3s
[CV] c1=1.4528596744703972, c2=0.09649674466289851 ...................
[CV]  c1=1.4528596744703972, c2=0.09649674466289851, score=0.707695 -   1.5s
[CV] c1=0.11324360917698002, c2=0.04768062623898021 ..................
[CV]  c1=0.11324360917698002, c2=0.04768062623898021, score=0.888779 -   1.4s
[CV] c1=0.19868822291526483, c2=0.0072453741160793065 ................
[CV]  c1=0.19868822291526483, c2=0.0072453741160793065, score=0.796101 -   1.5s
[CV] c1=0.33604869238364465, c2=0.03578293754594072 ..................
[CV]  c1=0.33604869238364465, c2=0.03578293754594072, score=0.894078 -   1.4s
[CV] c1=0.14106638364380492, c2=0.121753013613495 ....................
[CV]  c1=0.14106638364380492, c2=0.121753013613495, score=0.707806 -   1.1s
[CV] c1=0.6020685335403809, c2=0.03636478184859298 ...................
[CV]  c1=0.6020685335403809, c2=0.03636478184859298, score=0.802948 -   1.3s
[CV] c1=1.1278220552405573, c2=0.05041079092767255 ...................
[CV]  c1=1.1278220552405573, c2=0.05041079092767255, score=0.769386 -   1.3s
[CV] c1=0.40976145403732833, c2=0.030639894647797705 .................
[CV]  c1=0.40976145403732833, c2=0.030639894647797705, score=0.836414 -   1.1s
[CV] c1=1.234660890707312, c2=0.010253306881834703 ...................
[CV]  c1=1.234660890707312, c2=0.010253306881834703, score=0.841978 -   1.4s
[CV] c1=1.3744975959083345, c2=0.15115113676427155 ...................
[CV]  c1=1.3744975959083345, c2=0.15115113676427155, score=0.801074 -   1.4s
[CV] c1=0.14511560856834096, c2=0.03843065993106373 ..................
[CV]  c1=0.14511560856834096, c2=0.03843065993106373, score=0.863073 -   1.3s
[CV] c1=0.10629412182757157, c2=0.07538222518627408 ..................
[CV]  c1=0.10629412182757157, c2=0.07538222518627408, score=0.883574 -   1.4s
[CV] c1=0.05905497520121591, c2=0.012618646353375043 .................
[CV]  c1=0.05905497520121591, c2=0.012618646353375043, score=0.781712 -   1.4s
[CV] c1=0.07828702533634721, c2=0.028965843337331543 .................
[CV]  c1=0.07828702533634721, c2=0.028965843337331543, score=0.796637 -   1.4s
[CV] c1=0.23297063335608598, c2=0.005202603296773344 .................
[CV]  c1=0.23297063335608598, c2=0.005202603296773344, score=0.884378 -   1.4s
[CV] c1=0.10918654537371537, c2=0.08730452858447524 ..................
[CV]  c1=0.10918654537371537, c2=0.08730452858447524, score=0.774591 -   1.5s
[CV] c1=0.14535947865635043, c2=0.04141314941295057 ..................
[CV]  c1=0.14535947865635043, c2=0.04141314941295057, score=0.785419 -   1.2s
[CV] c1=0.07029022528564866, c2=0.023835907572670796 .................
[CV]  c1=0.07029022528564866, c2=0.023835907572670796, score=0.783835 -   1.1s
[CV] c1=0.3202807373741395, c2=0.006757874822303774 ..................
[CV]  c1=0.3202807373741395, c2=0.006757874822303774, score=0.801479 -   1.4s
[CV] c1=0.0565111695049268, c2=0.0329650056520118 ....................
[CV]  c1=0.0565111695049268, c2=0.0329650056520118, score=0.890890 -   1.4s
[CV] c1=0.4296401900494191, c2=0.08115251209893132 ...................
[CV]  c1=0.4296401900494191, c2=0.08115251209893132, score=0.735658 -   1.1s
[CV] c1=1.3141062686340936, c2=0.15457982834048212 ...................
[CV]  c1=1.3141062686340936, c2=0.15457982834048212, score=0.701542 -   1.3s
[CV] c1=0.7879707858169216, c2=0.0335787661837812 ....................
[CV]  c1=0.7879707858169216, c2=0.0335787661837812, score=0.769664 -   1.4s
[CV] c1=0.15296512619642785, c2=0.2580260126063098 ...................
[CV]  c1=0.15296512619642785, c2=0.2580260126063098, score=0.740063 -   1.1s
[CV] c1=0.48630115889909975, c2=0.12073952519230394 ..................
[CV]  c1=0.48630115889909975, c2=0.12073952519230394, score=0.778112 -   1.4s
[CV] c1=0.12403049903726275, c2=0.018588710042572208 .................
[CV]  c1=0.12403049903726275, c2=0.018588710042572208, score=0.843468 -   1.3s
[CV] c1=0.11324360917698002, c2=0.04768062623898021 ..................
[CV]  c1=0.11324360917698002, c2=0.04768062623898021, score=0.860889 -   1.3s
[CV] c1=0.19868822291526483, c2=0.0072453741160793065 ................
[CV]  c1=0.19868822291526483, c2=0.0072453741160793065, score=0.841701 -   1.3s
[CV] c1=0.19361101925841964, c2=0.04556806836760095 ..................
[CV]  c1=0.19361101925841964, c2=0.04556806836760095, score=0.888779 -   1.4s
[CV] c1=0.4016756720252943, c2=0.025730610292401604 ..................
[CV]  c1=0.4016756720252943, c2=0.025730610292401604, score=0.776522 -   1.1s
[CV] c1=0.6020685335403809, c2=0.03636478184859298 ...................
[CV]  c1=0.6020685335403809, c2=0.03636478184859298, score=0.738875 -   1.1s
[CV] c1=0.25770798824071633, c2=0.015028776895244417 .................
[CV]  c1=0.25770798824071633, c2=0.015028776895244417, score=0.784827 -   1.4s
[CV] c1=0.044938026445574486, c2=0.023864978593171392 ................
[CV]  c1=0.044938026445574486, c2=0.023864978593171392, score=0.859063 -   1.4s
[CV] c1=0.09496366433556683, c2=0.018255363818065588 .................
[CV]  c1=0.09496366433556683, c2=0.018255363818065588, score=0.848306 -   1.2s
[CV] c1=0.11205731583717388, c2=0.08164024246135528 ..................
[CV]  c1=0.11205731583717388, c2=0.08164024246135528, score=0.816957 -   1.5s
[CV] c1=0.7879707858169216, c2=0.0335787661837812 ....................
[CV]  c1=0.7879707858169216, c2=0.0335787661837812, score=0.798701 -   1.4s
[CV] c1=0.5539697463628143, c2=0.009024462996978571 ..................
[CV]  c1=0.5539697463628143, c2=0.009024462996978571, score=0.777171 -   1.5s
[CV] c1=0.4069605402769979, c2=0.022837288737070367 ..................
[CV]  c1=0.4069605402769979, c2=0.022837288737070367, score=0.756697 -   1.5s
[CV] c1=0.13075521356078265, c2=0.003934462107809462 .................
[CV]  c1=0.13075521356078265, c2=0.003934462107809462, score=0.890093 -   1.5s
[CV] c1=0.43482910462649393, c2=0.013872127174737188 .................
[CV]  c1=0.43482910462649393, c2=0.013872127174737188, score=0.806666 -   1.5s
[CV] c1=0.5384843582640627, c2=0.01640268309633151 ...................
[CV]  c1=0.5384843582640627, c2=0.01640268309633151, score=0.780667 -   1.4s
[CV] c1=0.09391809817252798, c2=0.04169195146893944 ..................
[CV]  c1=0.09391809817252798, c2=0.04169195146893944, score=0.790857 -   1.5s
[CV] c1=0.397432500968486, c2=0.10194835190492622 ....................
[CV]  c1=0.397432500968486, c2=0.10194835190492622, score=0.873148 -   1.5s
[CV] c1=0.25770798824071633, c2=0.015028776895244417 .................
[CV]  c1=0.25770798824071633, c2=0.015028776895244417, score=0.863073 -   1.4s
[CV] c1=0.044938026445574486, c2=0.023864978593171392 ................
[CV]  c1=0.044938026445574486, c2=0.023864978593171392, score=0.829027 -   1.4s
[CV] c1=0.4296401900494191, c2=0.08115251209893132 ...................
[CV]  c1=0.4296401900494191, c2=0.08115251209893132, score=0.870877 -   1.4s
[CV] c1=0.5444301818752715, c2=0.0035020310277991754 .................
[CV]  c1=0.5444301818752715, c2=0.0035020310277991754, score=0.790041 -   1.4s
[CV] c1=0.033466772265104076, c2=0.0031954354653611935 ...............
[CV]  c1=0.033466772265104076, c2=0.0031954354653611935, score=0.793824 -   1.4s
[CV] c1=0.1045493357093721, c2=0.019033029719578126 ..................
[CV]  c1=0.1045493357093721, c2=0.019033029719578126, score=0.885331 -   1.4s
[CV] c1=0.7750940293520174, c2=0.033386958510169554 ..................
[CV]  c1=0.7750940293520174, c2=0.033386958510169554, score=0.769664 -   1.5s
[CV] c1=0.07828702533634721, c2=0.028965843337331543 .................
[CV]  c1=0.07828702533634721, c2=0.028965843337331543, score=0.859063 -   1.3s
[CV] c1=0.4623656388820193, c2=0.06865264226596797 ...................
[CV]  c1=0.4623656388820193, c2=0.06865264226596797, score=0.705121 -   1.6s
[CV] c1=0.25752241877046567, c2=0.02864112435954601 ..................
[CV]  c1=0.25752241877046567, c2=0.02864112435954601, score=0.785161 -   1.4s
[CV] c1=0.14535947865635043, c2=0.04141314941295057 ..................
[CV]  c1=0.14535947865635043, c2=0.04141314941295057, score=0.787173 -   1.4s
[CV] c1=0.397432500968486, c2=0.10194835190492622 ....................
[CV]  c1=0.397432500968486, c2=0.10194835190492622, score=0.778181 -   1.4s
[CV] c1=1.1278220552405573, c2=0.05041079092767255 ...................
[CV]  c1=1.1278220552405573, c2=0.05041079092767255, score=0.840247 -   1.4s
[CV] c1=0.40976145403732833, c2=0.030639894647797705 .................
[CV]  c1=0.40976145403732833, c2=0.030639894647797705, score=0.879452 -   1.3s
[CV] c1=0.09496366433556683, c2=0.018255363818065588 .................
[CV]  c1=0.09496366433556683, c2=0.018255363818065588, score=0.875246 -   1.1s
[CV] c1=1.1190891861386985, c2=0.0475532869541968 ....................
[CV]  c1=1.1190891861386985, c2=0.0475532869541968, score=0.729322 -   1.3s
[CV] c1=0.39386942289881843, c2=0.08245560602719254 ..................
[CV]  c1=0.39386942289881843, c2=0.08245560602719254, score=0.820285 -   1.3s
[CV] c1=0.04050615596722123, c2=0.19816567282491093 ..................
[CV]  c1=0.04050615596722123, c2=0.19816567282491093, score=0.878108 -   1.4s
[CV] c1=0.2979439715264978, c2=0.2059182050368441 ....................
[CV]  c1=0.2979439715264978, c2=0.2059182050368441, score=0.694599 -   1.5s
[CV] c1=1.4528596744703972, c2=0.09649674466289851 ...................
[CV]  c1=1.4528596744703972, c2=0.09649674466289851, score=0.557741 -   1.5s
[CV] c1=0.6886773659826522, c2=0.005976443999372701 ..................
[CV]  c1=0.6886773659826522, c2=0.005976443999372701, score=0.881507 -   1.4s
[CV] c1=0.5359284933532247, c2=0.09232700164151013 ...................
[CV]  c1=0.5359284933532247, c2=0.09232700164151013, score=0.695158 -   1.6s
[CV] c1=0.17969022300491533, c2=0.10323708464698939 ..................
[CV]  c1=0.17969022300491533, c2=0.10323708464698939, score=0.772146 -   1.6s
[CV] c1=0.24693398103660819, c2=0.014485728640724041 .................
[CV]  c1=0.24693398103660819, c2=0.014485728640724041, score=0.880404 -   1.6s
[CV] c1=0.12196487000054748, c2=0.0011381132254349965 ................
[CV]  c1=0.12196487000054748, c2=0.0011381132254349965, score=0.795800 -   1.4s
[CV] c1=0.044938026445574486, c2=0.023864978593171392 ................
[CV]  c1=0.044938026445574486, c2=0.023864978593171392, score=0.887982 -   1.4s
[CV] c1=1.4480067085320678, c2=0.03897073706221991 ...................
[CV]  c1=1.4480067085320678, c2=0.03897073706221991, score=0.627536 -   0.9s
[CV] c1=0.11205731583717388, c2=0.08164024246135528 ..................
[CV]  c1=0.11205731583717388, c2=0.08164024246135528, score=0.779123 -   1.4s
[CV] c1=0.7629970698187368, c2=0.018280189562772393 ..................
[CV]  c1=0.7629970698187368, c2=0.018280189562772393, score=0.772539 -   1.5s
[CV] c1=0.5539697463628143, c2=0.009024462996978571 ..................
[CV]  c1=0.5539697463628143, c2=0.009024462996978571, score=0.739905 -   1.1s
[CV] c1=0.48630115889909975, c2=0.12073952519230394 ..................
[CV]  c1=0.48630115889909975, c2=0.12073952519230394, score=0.720483 -   1.1s
[CV] c1=1.4528596744703972, c2=0.09649674466289851 ...................
[CV]  c1=1.4528596744703972, c2=0.09649674466289851, score=0.596221 -   1.1s
[CV] c1=0.5002374988515533, c2=0.037179622246375395 ..................
[CV]  c1=0.5002374988515533, c2=0.037179622246375395, score=0.879019 -   1.5s
[CV] c1=0.23297063335608598, c2=0.005202603296773344 .................
[CV]  c1=0.23297063335608598, c2=0.005202603296773344, score=0.865479 -   1.4s
[CV] c1=0.25752241877046567, c2=0.02864112435954601 ..................
[CV]  c1=0.25752241877046567, c2=0.02864112435954601, score=0.863073 -   1.4s
[CV] c1=0.14535947865635043, c2=0.04141314941295057 ..................
[CV]  c1=0.14535947865635043, c2=0.04141314941295057, score=0.828690 -   1.5s
[CV] c1=0.6020685335403809, c2=0.03636478184859298 ...................
[CV]  c1=0.6020685335403809, c2=0.03636478184859298, score=0.863099 -   1.4s
[CV] c1=1.1278220552405573, c2=0.05041079092767255 ...................
[CV]  c1=1.1278220552405573, c2=0.05041079092767255, score=0.622970 -   1.4s
[CV] c1=0.40976145403732833, c2=0.030639894647797705 .................
[CV]  c1=0.40976145403732833, c2=0.030639894647797705, score=0.741013 -   1.2s
[CV] c1=0.4296401900494191, c2=0.08115251209893132 ...................
[CV]  c1=0.4296401900494191, c2=0.08115251209893132, score=0.828554 -   1.3s
[CV] c1=0.28033072355547195, c2=0.02671494506461704 ..................
[CV]  c1=0.28033072355547195, c2=0.02671494506461704, score=0.773025 -   1.0s
[CV] c1=0.7879707858169216, c2=0.0335787661837812 ....................
[CV]  c1=0.7879707858169216, c2=0.0335787661837812, score=0.690658 -   1.4s
[CV] c1=0.5539697463628143, c2=0.009024462996978571 ..................
[CV]  c1=0.5539697463628143, c2=0.009024462996978571, score=0.831732 -   1.3s
[CV] c1=0.9122148334853062, c2=0.013256200947447953 ..................
[CV]  c1=0.9122148334853062, c2=0.013256200947447953, score=0.672881 -   1.4s
[CV] c1=0.5588378560291549, c2=0.03260593058734559 ...................
[CV]  c1=0.5588378560291549, c2=0.03260593058734559, score=0.774221 -   1.4s
[CV] c1=0.7391507273498515, c2=0.001728245057791569 ..................
[CV]  c1=0.7391507273498515, c2=0.001728245057791569, score=0.710795 -   1.4s
[CV] c1=0.10524652791614639, c2=0.028838073594502567 .................
[CV]  c1=0.10524652791614639, c2=0.028838073594502567, score=0.853772 -   1.3s
[CV] c1=0.17969022300491533, c2=0.10323708464698939 ..................
[CV]  c1=0.17969022300491533, c2=0.10323708464698939, score=0.762240 -   1.1s
[CV] c1=0.4016756720252943, c2=0.025730610292401604 ..................
[CV]  c1=0.4016756720252943, c2=0.025730610292401604, score=0.801193 -   1.4s
[CV] c1=0.45711545201398995, c2=0.013438948156019646 .................
[CV]  c1=0.45711545201398995, c2=0.013438948156019646, score=0.751269 -   1.2s
[CV] c1=0.1158659612283681, c2=0.02349698968385008 ...................
[CV]  c1=0.1158659612283681, c2=0.02349698968385008, score=0.890890 -   1.3s
[CV] c1=0.017382129491243216, c2=0.009604668865175775 ................
[CV]  c1=0.017382129491243216, c2=0.009604668865175775, score=0.874352 -   1.2s
[CV] c1=0.19178541135934635, c2=0.04734269889691574 ..................
[CV]  c1=0.19178541135934635, c2=0.04734269889691574, score=0.883574 -   1.1s
[CV] c1=1.3141062686340936, c2=0.15457982834048212 ...................
[CV]  c1=1.3141062686340936, c2=0.15457982834048212, score=0.801074 -   1.4s
[CV] c1=0.7879707858169216, c2=0.0335787661837812 ....................
[CV]  c1=0.7879707858169216, c2=0.0335787661837812, score=0.686317 -   1.2s
[CV] c1=1.1910355503897172, c2=0.023636434518584548 ..................
[CV]  c1=1.1910355503897172, c2=0.023636434518584548, score=0.620114 -   1.4s
[CV] c1=0.9122148334853062, c2=0.013256200947447953 ..................
[CV]  c1=0.9122148334853062, c2=0.013256200947447953, score=0.872555 -   1.4s
[CV] c1=0.5588378560291549, c2=0.03260593058734559 ...................
[CV]  c1=0.5588378560291549, c2=0.03260593058734559, score=0.731665 -   1.1s
[CV] c1=0.1319535359659338, c2=0.003963940060038749 ..................
[CV]  c1=0.1319535359659338, c2=0.003963940060038749, score=0.796160 -   1.4s
[CV] c1=0.19868822291526483, c2=0.0072453741160793065 ................
[CV]  c1=0.19868822291526483, c2=0.0072453741160793065, score=0.778227 -   1.2s
[CV] c1=0.08756121854078795, c2=0.023018022987103412 .................
[CV]  c1=0.08756121854078795, c2=0.023018022987103412, score=0.887720 -   1.4s
[CV] c1=0.5317199308569328, c2=0.06256472666666905 ...................
[CV]  c1=0.5317199308569328, c2=0.06256472666666905, score=0.868861 -   1.4s
[CV] c1=0.6020685335403809, c2=0.03636478184859298 ...................
[CV]  c1=0.6020685335403809, c2=0.03636478184859298, score=0.714410 -   1.4s
[CV] c1=1.1278220552405573, c2=0.05041079092767255 ...................
[CV]  c1=1.1278220552405573, c2=0.05041079092767255, score=0.584817 -   1.5s
[CV] c1=0.017382129491243216, c2=0.009604668865175775 ................
[CV]  c1=0.017382129491243216, c2=0.009604668865175775, score=0.838216 -   1.1s
[CV] c1=0.6118336538354819, c2=0.013475811798893487 ..................
[CV]  c1=0.6118336538354819, c2=0.013475811798893487, score=0.889140 -   1.2s
[CV] c1=0.11205731583717388, c2=0.08164024246135528 ..................
[CV]  c1=0.11205731583717388, c2=0.08164024246135528, score=0.723050 -   1.2s
[CV] c1=0.39386942289881843, c2=0.08245560602719254 ..................
[CV]  c1=0.39386942289881843, c2=0.08245560602719254, score=0.744114 -   1.3s
[CV] c1=0.7428437144768885, c2=0.022498339125803502 ..................
[CV]  c1=0.7428437144768885, c2=0.022498339125803502, score=0.804794 -   1.3s
[CV] c1=1.5338501112188279, c2=0.08422562142033317 ...................
[CV]  c1=1.5338501112188279, c2=0.08422562142033317, score=0.607304 -   1.5s
[CV] c1=1.4528596744703972, c2=0.09649674466289851 ...................
[CV]  c1=1.4528596744703972, c2=0.09649674466289851, score=0.620169 -   1.4s
[CV] c1=0.1319535359659338, c2=0.003963940060038749 ..................
[CV]  c1=0.1319535359659338, c2=0.003963940060038749, score=0.865304 -   1.4s
[CV] c1=0.1527214174501827, c2=0.14772801117596965 ...................
[CV]  c1=0.1527214174501827, c2=0.14772801117596965, score=0.759954 -   1.6s
[CV] c1=0.19361101925841964, c2=0.04556806836760095 ..................
[CV]  c1=0.19361101925841964, c2=0.04556806836760095, score=0.820360 -   1.5s
[CV] c1=0.14106638364380492, c2=0.121753013613495 ....................
[CV]  c1=0.14106638364380492, c2=0.121753013613495, score=0.772146 -   1.4s
[CV] c1=0.45711545201398995, c2=0.013438948156019646 .................
[CV]  c1=0.45711545201398995, c2=0.013438948156019646, score=0.804012 -   1.4s
[CV] c1=0.612390023344944, c2=0.06285900434695901 ....................
[CV]  c1=0.612390023344944, c2=0.06285900434695901, score=0.701167 -   1.2s
[CV] c1=1.462210799575526, c2=0.01973101767051716 ....................
[CV]  c1=1.462210799575526, c2=0.01973101767051716, score=0.832301 -   1.2s
[CV] c1=1.4480067085320678, c2=0.03897073706221991 ...................
[CV]  c1=1.4480067085320678, c2=0.03897073706221991, score=0.611981 -   1.5s
[CV] c1=0.28033072355547195, c2=0.02671494506461704 ..................
[CV]  c1=0.28033072355547195, c2=0.02671494506461704, score=0.801479 -   1.5s
[CV] c1=0.1691928831172527, c2=0.08355061491989856 ...................
[CV]  c1=0.1691928831172527, c2=0.08355061491989856, score=0.791467 -   1.4s
[CV] c1=0.10629412182757157, c2=0.07538222518627408 ..................
[CV]  c1=0.10629412182757157, c2=0.07538222518627408, score=0.777110 -   1.4s
[CV] c1=0.05905497520121591, c2=0.012618646353375043 .................
[CV]  c1=0.05905497520121591, c2=0.012618646353375043, score=0.828690 -   1.5s
[CV] c1=0.5002374988515533, c2=0.037179622246375395 ..................
[CV]  c1=0.5002374988515533, c2=0.037179622246375395, score=0.710252 -   1.5s
[CV] c1=0.23297063335608598, c2=0.005202603296773344 .................
[CV]  c1=0.23297063335608598, c2=0.005202603296773344, score=0.819759 -   1.5s
[CV] c1=0.08756121854078795, c2=0.023018022987103412 .................
[CV]  c1=0.08756121854078795, c2=0.023018022987103412, score=0.776167 -   1.1s
[CV] c1=0.14535947865635043, c2=0.04141314941295057 ..................
[CV]  c1=0.14535947865635043, c2=0.04141314941295057, score=0.883574 -   1.4s
[CV] c1=0.397432500968486, c2=0.10194835190492622 ....................
[CV]  c1=0.397432500968486, c2=0.10194835190492622, score=0.718462 -   1.5s
[CV] c1=0.25770798824071633, c2=0.015028776895244417 .................
[CV]  c1=0.25770798824071633, c2=0.015028776895244417, score=0.796160 -   1.5s
[CV] c1=0.40976145403732833, c2=0.030639894647797705 .................
[CV]  c1=0.40976145403732833, c2=0.030639894647797705, score=0.796580 -   1.3s
[CV] c1=0.12824660439149893, c2=0.03719057919291133 ..................
[CV]  c1=0.12824660439149893, c2=0.03719057919291133, score=0.781635 -   1.1s
[CV] c1=0.5444301818752715, c2=0.0035020310277991754 .................
[CV]  c1=0.5444301818752715, c2=0.0035020310277991754, score=0.725460 -   1.4s
[CV] c1=0.14070517608638713, c2=0.1574916522627922 ...................
[CV]  c1=0.14070517608638713, c2=0.1574916522627922, score=0.795874 -   1.4s
[CV] c1=0.05323353460655377, c2=0.025222893553162703 .................
[CV]  c1=0.05323353460655377, c2=0.025222893553162703, score=0.745886 -   1.2s
[CV] c1=0.4069605402769979, c2=0.022837288737070367 ..................
[CV]  c1=0.4069605402769979, c2=0.022837288737070367, score=0.891495 -   1.4s
[CV] c1=0.07557711659700299, c2=0.010175482515243438 .................
[CV]  c1=0.07557711659700299, c2=0.010175482515243438, score=0.880053 -   1.4s
[CV] c1=0.6886773659826522, c2=0.005976443999372701 ..................
[CV]  c1=0.6886773659826522, c2=0.005976443999372701, score=0.775433 -   1.4s
[CV] c1=0.10524652791614639, c2=0.028838073594502567 .................
[CV]  c1=0.10524652791614639, c2=0.028838073594502567, score=0.757953 -   1.1s
[CV] c1=0.19361101925841964, c2=0.04556806836760095 ..................
[CV]  c1=0.19361101925841964, c2=0.04556806836760095, score=0.859063 -   1.3s
[CV] c1=0.4016756720252943, c2=0.025730610292401604 ..................
[CV]  c1=0.4016756720252943, c2=0.025730610292401604, score=0.751172 -   1.4s
[CV] c1=0.0033888831445760582, c2=0.06682423302315157 ................
[CV]  c1=0.0033888831445760582, c2=0.06682423302315157, score=0.859963 -   1.3s
[CV] c1=0.1158659612283681, c2=0.02349698968385008 ...................
[CV]  c1=0.1158659612283681, c2=0.02349698968385008, score=0.857782 -   1.3s
[CV] c1=0.017382129491243216, c2=0.009604668865175775 ................
[CV]  c1=0.017382129491243216, c2=0.009604668865175775, score=0.814587 -   1.2s
[CV] c1=0.12824660439149893, c2=0.03719057919291133 ..................
[CV]  c1=0.12824660439149893, c2=0.03719057919291133, score=0.859063 -   1.4s
[CV] c1=0.5177707334210474, c2=0.02535188651955522 ...................
[CV]  c1=0.5177707334210474, c2=0.02535188651955522, score=0.844322 -   1.3s
[CV] c1=0.1691928831172527, c2=0.08355061491989856 ...................
[CV]  c1=0.1691928831172527, c2=0.08355061491989856, score=0.726869 -   1.1s
[CV] c1=0.15296512619642785, c2=0.2580260126063098 ...................
[CV]  c1=0.15296512619642785, c2=0.2580260126063098, score=0.836975 -   1.3s
[CV] c1=0.4069605402769979, c2=0.022837288737070367 ..................
[CV]  c1=0.4069605402769979, c2=0.022837288737070367, score=0.858541 -   1.3s
[CV] c1=0.07557711659700299, c2=0.010175482515243438 .................
[CV]  c1=0.07557711659700299, c2=0.010175482515243438, score=0.791233 -   1.4s
[CV] c1=0.7391507273498515, c2=0.001728245057791569 ..................
[CV]  c1=0.7391507273498515, c2=0.001728245057791569, score=0.769546 -   1.4s
[CV] c1=0.153893577918549, c2=0.032087789690024064 ...................
[CV]  c1=0.153893577918549, c2=0.032087789690024064, score=0.789967 -   1.1s
[CV] c1=0.33604869238364465, c2=0.03578293754594072 ..................
[CV]  c1=0.33604869238364465, c2=0.03578293754594072, score=0.858672 -   1.3s
[CV] c1=0.14106638364380492, c2=0.121753013613495 ....................
[CV]  c1=0.14106638364380492, c2=0.121753013613495, score=0.857408 -   1.3s
[CV] c1=0.45711545201398995, c2=0.013438948156019646 .................
[CV]  c1=0.45711545201398995, c2=0.013438948156019646, score=0.833727 -   1.3s
[CV] c1=0.24987543278671823, c2=0.055970310749963705 .................
[CV]  c1=0.24987543278671823, c2=0.055970310749963705, score=0.785161 -   1.4s
[CV] c1=1.462210799575526, c2=0.01973101767051716 ....................
[CV]  c1=1.462210799575526, c2=0.01973101767051716, score=0.738829 -   1.1s
[CV] c1=0.09496366433556683, c2=0.018255363818065588 .................
[CV]  c1=0.09496366433556683, c2=0.018255363818065588, score=0.790857 -   1.3s
[CV] c1=1.3141062686340936, c2=0.15457982834048212 ...................
[CV]  c1=1.3141062686340936, c2=0.15457982834048212, score=0.610168 -   1.6s
[CV] c1=0.14070517608638713, c2=0.1574916522627922 ...................
[CV]  c1=0.14070517608638713, c2=0.1574916522627922, score=0.857676 -   1.4s
[CV] c1=0.05323353460655377, c2=0.025222893553162703 .................
[CV]  c1=0.05323353460655377, c2=0.025222893553162703, score=0.886631 -   1.4s
[CV] c1=0.3942197916786504, c2=0.020446905306382723 ..................
[CV]  c1=0.3942197916786504, c2=0.020446905306382723, score=0.856825 -   1.4s
[CV] c1=0.13075521356078265, c2=0.003934462107809462 .................
[CV]  c1=0.13075521356078265, c2=0.003934462107809462, score=0.843468 -   1.3s
[CV] c1=0.43482910462649393, c2=0.013872127174737188 .................
[CV]  c1=0.43482910462649393, c2=0.013872127174737188, score=0.756340 -   1.5s
[CV] c1=0.5384843582640627, c2=0.01640268309633151 ...................
[CV]  c1=0.5384843582640627, c2=0.01640268309633151, score=0.770029 -   1.1s
[CV] c1=0.5236989103997544, c2=0.013340804120832725 ..................
[CV]  c1=0.5236989103997544, c2=0.013340804120832725, score=0.876619 -   1.4s
[CV] c1=0.2202380963970354, c2=0.02845813344588164 ...................
[CV]  c1=0.2202380963970354, c2=0.02845813344588164, score=0.880404 -   1.4s
[CV] c1=0.3202807373741395, c2=0.006757874822303774 ..................
[CV]  c1=0.3202807373741395, c2=0.006757874822303774, score=0.764362 -   1.1s
[CV] c1=0.24987543278671823, c2=0.055970310749963705 .................
[CV]  c1=0.24987543278671823, c2=0.055970310749963705, score=0.804147 -   1.5s
[CV] c1=0.05250088633187875, c2=0.006620338939931378 .................
[CV]  c1=0.05250088633187875, c2=0.006620338939931378, score=0.780617 -   0.9s
[CV] c1=0.6118336538354819, c2=0.013475811798893487 ..................
[CV]  c1=0.6118336538354819, c2=0.013475811798893487, score=0.778968 -   1.3s
[CV] c1=1.3141062686340936, c2=0.15457982834048212 ...................
[CV]  c1=1.3141062686340936, c2=0.15457982834048212, score=0.616016 -   1.2s
[CV] c1=0.39386942289881843, c2=0.08245560602719254 ..................
[CV]  c1=0.39386942289881843, c2=0.08245560602719254, score=0.764596 -   1.5s
[CV] c1=1.1910355503897172, c2=0.023636434518584548 ..................
[CV]  c1=1.1910355503897172, c2=0.023636434518584548, score=0.843829 -   1.3s
[CV] c1=0.48630115889909975, c2=0.12073952519230394 ..................
[CV]  c1=0.48630115889909975, c2=0.12073952519230394, score=0.860995 -   1.4s
[CV] c1=0.12403049903726275, c2=0.018588710042572208 .................
[CV]  c1=0.12403049903726275, c2=0.018588710042572208, score=0.774070 -   1.2s
[CV] c1=0.1319535359659338, c2=0.003963940060038749 ..................
[CV]  c1=0.1319535359659338, c2=0.003963940060038749, score=0.788510 -   1.4s
[CV] c1=0.1527214174501827, c2=0.14772801117596965 ...................
[CV]  c1=0.1527214174501827, c2=0.14772801117596965, score=0.758549 -   1.6s
[CV] c1=0.19361101925841964, c2=0.04556806836760095 ..................
[CV]  c1=0.19361101925841964, c2=0.04556806836760095, score=0.781635 -   1.3s
[CV] c1=0.5317199308569328, c2=0.06256472666666905 ...................
[CV]  c1=0.5317199308569328, c2=0.06256472666666905, score=0.807349 -   1.4s
[CV] c1=0.6020685335403809, c2=0.03636478184859298 ...................
[CV]  c1=0.6020685335403809, c2=0.03636478184859298, score=0.771800 -   1.5s
[CV] c1=0.1158659612283681, c2=0.02349698968385008 ...................
[CV]  c1=0.1158659612283681, c2=0.02349698968385008, score=0.828690 -   1.5s
[CV] c1=1.462210799575526, c2=0.01973101767051716 ....................
[CV]  c1=1.462210799575526, c2=0.01973101767051716, score=0.616896 -   1.2s
[CV] c1=0.19178541135934635, c2=0.04734269889691574 ..................
[CV]  c1=0.19178541135934635, c2=0.04734269889691574, score=0.861157 -   1.6s
[CV] c1=0.28033072355547195, c2=0.02671494506461704 ..................
[CV]  c1=0.28033072355547195, c2=0.02671494506461704, score=0.863073 -   1.3s
[CV] c1=0.033466772265104076, c2=0.0031954354653611935 ...............
[CV]  c1=0.033466772265104076, c2=0.0031954354653611935, score=0.786297 -   1.2s
[CV] c1=0.15296512619642785, c2=0.2580260126063098 ...................
[CV]  c1=0.15296512619642785, c2=0.2580260126063098, score=0.734070 -   1.4s
[CV] c1=0.4069605402769979, c2=0.022837288737070367 ..................
[CV]  c1=0.4069605402769979, c2=0.022837288737070367, score=0.796580 -   1.5s
[CV] c1=0.13075521356078265, c2=0.003934462107809462 .................
[CV]  c1=0.13075521356078265, c2=0.003934462107809462, score=0.783373 -   1.2s
[CV] c1=0.7391507273498515, c2=0.001728245057791569 ..................
[CV]  c1=0.7391507273498515, c2=0.001728245057791569, score=0.696232 -   1.1s
[CV] c1=0.19868822291526483, c2=0.0072453741160793065 ................
[CV]  c1=0.19868822291526483, c2=0.0072453741160793065, score=0.794992 -   1.5s
[CV] c1=0.33604869238364465, c2=0.03578293754594072 ..................
[CV]  c1=0.33604869238364465, c2=0.03578293754594072, score=0.754666 -   1.2s
[CV] c1=0.4016756720252943, c2=0.025730610292401604 ..................
[CV]  c1=0.4016756720252943, c2=0.025730610292401604, score=0.874842 -   1.4s
[CV] c1=0.0033888831445760582, c2=0.06682423302315157 ................
[CV]  c1=0.0033888831445760582, c2=0.06682423302315157, score=0.781990 -   1.5s
[CV] c1=0.24987543278671823, c2=0.055970310749963705 .................
[CV]  c1=0.24987543278671823, c2=0.055970310749963705, score=0.899111 -   1.4s
[CV] c1=1.462210799575526, c2=0.01973101767051716 ....................
[CV]  c1=1.462210799575526, c2=0.01973101767051716, score=0.620000 -   1.0s
[CV] c1=0.12824660439149893, c2=0.03719057919291133 ..................
[CV]  c1=0.12824660439149893, c2=0.03719057919291133, score=0.885686 -   1.4s
[CV] c1=0.5177707334210474, c2=0.02535188651955522 ...................
[CV]  c1=0.5177707334210474, c2=0.02535188651955522, score=0.874565 -   1.4s
[CV] c1=0.1691928831172527, c2=0.08355061491989856 ...................
[CV]  c1=0.1691928831172527, c2=0.08355061491989856, score=0.893499 -   1.4s
[CV] c1=0.1045493357093721, c2=0.019033029719578126 ..................
[CV]  c1=0.1045493357093721, c2=0.019033029719578126, score=0.796160 -   1.4s
[CV] c1=0.05905497520121591, c2=0.012618646353375043 .................
[CV]  c1=0.05905497520121591, c2=0.012618646353375043, score=0.783732 -   1.2s
[CV] c1=0.12414309401420666, c2=0.030048906602496556 .................
[CV]  c1=0.12414309401420666, c2=0.030048906602496556, score=0.877582 -   1.4s
[CV] c1=0.1633907799582693, c2=0.03158932332068684 ...................
[CV]  c1=0.1633907799582693, c2=0.03158932332068684, score=0.779259 -   1.1s
[CV] c1=0.10524652791614639, c2=0.028838073594502567 .................
[CV]  c1=0.10524652791614639, c2=0.028838073594502567, score=0.816957 -   1.5s
[CV] c1=0.5236989103997544, c2=0.013340804120832725 ..................
[CV]  c1=0.5236989103997544, c2=0.013340804120832725, score=0.829263 -   1.3s
[CV] c1=0.2202380963970354, c2=0.02845813344588164 ...................
[CV]  c1=0.2202380963970354, c2=0.02845813344588164, score=0.743826 -   1.1s
[CV] c1=0.27161491852907343, c2=0.00696271546912755 ..................
[CV]  c1=0.27161491852907343, c2=0.00696271546912755, score=0.895178 -   1.4s
[CV] c1=0.612390023344944, c2=0.06285900434695901 ....................
[CV]  c1=0.612390023344944, c2=0.06285900434695901, score=0.699253 -   1.5s
[CV] c1=0.09496366433556683, c2=0.018255363818065588 .................
[CV]  c1=0.09496366433556683, c2=0.018255363818065588, score=0.784778 -   0.7s
[CV] c1=1.1190891861386985, c2=0.0475532869541968 ....................
[CV]  c1=1.1190891861386985, c2=0.0475532869541968, score=0.628857 -   1.2s
[CV] c1=0.3916282043487168, c2=0.014611505382196447 ..................
[CV]  c1=0.3916282043487168, c2=0.014611505382196447, score=0.762222 -   1.6s
[CV] c1=0.04050615596722123, c2=0.19816567282491093 ..................
[CV]  c1=0.04050615596722123, c2=0.19816567282491093, score=0.808738 -   1.5s
[CV] c1=0.48630115889909975, c2=0.12073952519230394 ..................
[CV]  c1=0.48630115889909975, c2=0.12073952519230394, score=0.695158 -   1.5s
[CV] c1=0.5588378560291549, c2=0.03260593058734559 ...................
[CV]  c1=0.5588378560291549, c2=0.03260593058734559, score=0.707412 -   1.5s
[CV] c1=0.7391507273498515, c2=0.001728245057791569 ..................
[CV]  c1=0.7391507273498515, c2=0.001728245057791569, score=0.879689 -   1.6s
[CV] c1=0.153893577918549, c2=0.032087789690024064 ...................
[CV]  c1=0.153893577918549, c2=0.032087789690024064, score=0.796160 -   1.5s
[CV] c1=0.3775882853038194, c2=0.15138760195476922 ...................
[CV]  c1=0.3775882853038194, c2=0.15138760195476922, score=0.693123 -   1.2s
[CV] c1=0.2202380963970354, c2=0.02845813344588164 ...................
[CV]  c1=0.2202380963970354, c2=0.02845813344588164, score=0.782814 -   1.5s
[CV] c1=0.5109073351087475, c2=0.003273262336078374 ..................
[CV]  c1=0.5109073351087475, c2=0.003273262336078374, score=0.903675 -   1.5s
[CV] c1=1.2092009100285153, c2=0.07640995865078352 ...................
[CV]  c1=1.2092009100285153, c2=0.07640995865078352, score=0.639273 -   1.1s
[CV] c1=0.6118336538354819, c2=0.013475811798893487 ..................
[CV]  c1=0.6118336538354819, c2=0.013475811798893487, score=0.705773 -   1.2s
[CV] c1=0.11205731583717388, c2=0.08164024246135528 ..................
[CV]  c1=0.11205731583717388, c2=0.08164024246135528, score=0.860889 -   1.3s
[CV] c1=0.7629970698187368, c2=0.018280189562772393 ..................
[CV]  c1=0.7629970698187368, c2=0.018280189562772393, score=0.784938 -   1.3s
[CV] c1=1.1910355503897172, c2=0.023636434518584548 ..................
[CV]  c1=1.1910355503897172, c2=0.023636434518584548, score=0.689185 -   1.1s
[CV] c1=0.2979439715264978, c2=0.2059182050368441 ....................
[CV]  c1=0.2979439715264978, c2=0.2059182050368441, score=0.691866 -   1.2s
[CV] c1=1.0795494852971057, c2=0.0985587588945551 ....................
[CV]  c1=1.0795494852971057, c2=0.0985587588945551, score=0.631861 -   1.5s
[CV] c1=0.5002374988515533, c2=0.037179622246375395 ..................
[CV]  c1=0.5002374988515533, c2=0.037179622246375395, score=0.780986 -   1.5s
[CV] c1=0.1527214174501827, c2=0.14772801117596965 ...................
[CV]  c1=0.1527214174501827, c2=0.14772801117596965, score=0.857408 -   1.4s
[CV] c1=0.08756121854078795, c2=0.023018022987103412 .................
[CV]  c1=0.08756121854078795, c2=0.023018022987103412, score=0.793246 -   1.4s
[CV] c1=0.5317199308569328, c2=0.06256472666666905 ...................
[CV]  c1=0.5317199308569328, c2=0.06256472666666905, score=0.701529 -   1.5s
[CV] c1=0.0033888831445760582, c2=0.06682423302315157 ................
[CV]  c1=0.0033888831445760582, c2=0.06682423302315157, score=0.883574 -   1.4s
[CV] c1=0.1158659612283681, c2=0.02349698968385008 ...................
[CV]  c1=0.1158659612283681, c2=0.02349698968385008, score=0.771285 -   1.2s
[CV] c1=0.40976145403732833, c2=0.030639894647797705 .................
[CV]  c1=0.40976145403732833, c2=0.030639894647797705, score=0.773802 -   1.0s
[CV] c1=1.4480067085320678, c2=0.03897073706221991 ...................
[CV]  c1=1.4480067085320678, c2=0.03897073706221991, score=0.812630 -   1.3s
[CV] c1=0.5444301818752715, c2=0.0035020310277991754 .................
[CV]  c1=0.5444301818752715, c2=0.0035020310277991754, score=0.781816 -   1.1s
[CV] c1=0.7879707858169216, c2=0.0335787661837812 ....................
[CV]  c1=0.7879707858169216, c2=0.0335787661837812, score=0.838617 -   1.4s
[CV] c1=0.5539697463628143, c2=0.009024462996978571 ..................
[CV]  c1=0.5539697463628143, c2=0.009024462996978571, score=0.725906 -   1.4s
[CV] c1=0.4069605402769979, c2=0.022837288737070367 ..................
[CV]  c1=0.4069605402769979, c2=0.022837288737070367, score=0.774201 -   1.2s
[CV] c1=0.5588378560291549, c2=0.03260593058734559 ...................
[CV]  c1=0.5588378560291549, c2=0.03260593058734559, score=0.862624 -   1.4s
[CV] c1=0.6886773659826522, c2=0.005976443999372701 ..................
[CV]  c1=0.6886773659826522, c2=0.005976443999372701, score=0.703217 -   1.2s
[CV] c1=0.19868822291526483, c2=0.0072453741160793065 ................
[CV]  c1=0.19868822291526483, c2=0.0072453741160793065, score=0.882516 -   1.5s
[CV] c1=0.19361101925841964, c2=0.04556806836760095 ..................
[CV]  c1=0.19361101925841964, c2=0.04556806836760095, score=0.785161 -   1.4s
[CV] c1=0.14106638364380492, c2=0.121753013613495 ....................
[CV]  c1=0.14106638364380492, c2=0.121753013613495, score=0.886916 -   1.4s
[CV] c1=0.45711545201398995, c2=0.013438948156019646 .................
[CV]  c1=0.45711545201398995, c2=0.013438948156019646, score=0.744966 -   1.4s
[CV] c1=0.612390023344944, c2=0.06285900434695901 ....................
[CV]  c1=0.612390023344944, c2=0.06285900434695901, score=0.847617 -   1.4s
[CV] c1=0.05250088633187875, c2=0.006620338939931378 .................
[CV]  c1=0.05250088633187875, c2=0.006620338939931378, score=0.783939 -   0.9s
[CV] c1=0.6118336538354819, c2=0.013475811798893487 ..................
[CV]  c1=0.6118336538354819, c2=0.013475811798893487, score=0.808190 -   1.1s
[CV] c1=0.11205731583717388, c2=0.08164024246135528 ..................
[CV]  c1=0.11205731583717388, c2=0.08164024246135528, score=0.888779 -   1.4s
[CV] c1=0.7629970698187368, c2=0.018280189562772393 ..................
[CV]  c1=0.7629970698187368, c2=0.018280189562772393, score=0.855104 -   1.5s
[CV] c1=1.1910355503897172, c2=0.023636434518584548 ..................
[CV]  c1=1.1910355503897172, c2=0.023636434518584548, score=0.727144 -   1.3s
[CV] c1=0.48630115889909975, c2=0.12073952519230394 ..................
[CV]  c1=0.48630115889909975, c2=0.12073952519230394, score=0.789955 -   1.5s
[CV] c1=0.12403049903726275, c2=0.018588710042572208 .................
[CV]  c1=0.12403049903726275, c2=0.018588710042572208, score=0.828690 -   1.4s
[CV] c1=0.6886773659826522, c2=0.005976443999372701 ..................
[CV]  c1=0.6886773659826522, c2=0.005976443999372701, score=0.713469 -   1.5s
[CV] c1=0.10524652791614639, c2=0.028838073594502567 .................
[CV]  c1=0.10524652791614639, c2=0.028838073594502567, score=0.887720 -   1.5s
[CV] c1=0.17969022300491533, c2=0.10323708464698939 ..................
[CV]  c1=0.17969022300491533, c2=0.10323708464698939, score=0.857353 -   1.4s
[CV] c1=0.17434322826540982, c2=0.0013613397087539065 ................
[CV]  c1=0.17434322826540982, c2=0.0013613397087539065, score=0.863617 -   1.4s
[CV] c1=0.3202807373741395, c2=0.006757874822303774 ..................
[CV]  c1=0.3202807373741395, c2=0.006757874822303774, score=0.884901 -   1.4s
[CV] c1=0.21064119539497236, c2=0.03538594601252672 ..................
[CV]  c1=0.21064119539497236, c2=0.03538594601252672, score=0.779189 -   1.2s
[CV] c1=1.462210799575526, c2=0.01973101767051716 ....................
[CV]  c1=1.462210799575526, c2=0.01973101767051716, score=0.553559 -   1.1s
[CV] c1=0.4296401900494191, c2=0.08115251209893132 ...................
[CV]  c1=0.4296401900494191, c2=0.08115251209893132, score=0.780667 -   1.7s
[CV] c1=1.3744975959083345, c2=0.15115113676427155 ...................
[CV]  c1=1.3744975959083345, c2=0.15115113676427155, score=0.557741 -   1.5s
[CV] c1=0.7428437144768885, c2=0.022498339125803502 ..................
[CV]  c1=0.7428437144768885, c2=0.022498339125803502, score=0.701021 -   1.1s
[CV] c1=0.1045493357093721, c2=0.019033029719578126 ..................
[CV]  c1=0.1045493357093721, c2=0.019033029719578126, score=0.863073 -   1.3s
[CV] c1=0.7750940293520174, c2=0.033386958510169554 ..................
[CV]  c1=0.7750940293520174, c2=0.033386958510169554, score=0.736804 -   1.1s
[CV] c1=0.07557711659700299, c2=0.010175482515243438 .................
[CV]  c1=0.07557711659700299, c2=0.010175482515243438, score=0.863073 -   1.3s
[CV] c1=0.7391507273498515, c2=0.001728245057791569 ..................
[CV]  c1=0.7391507273498515, c2=0.001728245057791569, score=0.823344 -   1.4s
[CV] c1=0.10524652791614639, c2=0.028838073594502567 .................
[CV]  c1=0.10524652791614639, c2=0.028838073594502567, score=0.793246 -   1.4s
[CV] c1=0.17969022300491533, c2=0.10323708464698939 ..................
[CV]  c1=0.17969022300491533, c2=0.10323708464698939, score=0.769628 -   1.4s
[CV] c1=0.17434322826540982, c2=0.0013613397087539065 ................
[CV]  c1=0.17434322826540982, c2=0.0013613397087539065, score=0.834005 -   1.4s
[CV] c1=0.3202807373741395, c2=0.006757874822303774 ..................
[CV]  c1=0.3202807373741395, c2=0.006757874822303774, score=0.788716 -   1.5s
[CV] c1=0.0565111695049268, c2=0.0329650056520118 ....................
[CV]  c1=0.0565111695049268, c2=0.0329650056520118, score=0.770891 -   1.1s
[CV] c1=0.05250088633187875, c2=0.006620338939931378 .................
[CV]  c1=0.05250088633187875, c2=0.006620338939931378, score=0.796244 -   1.0s
[CV] c1=0.19178541135934635, c2=0.04734269889691574 ..................
[CV]  c1=0.19178541135934635, c2=0.04734269889691574, score=0.775586 -   0.9s
[CV] c1=1.1190891861386985, c2=0.0475532869541968 ....................
[CV]  c1=1.1190891861386985, c2=0.0475532869541968, score=0.636888 -   1.5s
[CV] c1=0.7629970698187368, c2=0.018280189562772393 ..................
[CV]  c1=0.7629970698187368, c2=0.018280189562772393, score=0.701233 -   1.5s
[CV] c1=1.1910355503897172, c2=0.023636434518584548 ..................
[CV]  c1=1.1910355503897172, c2=0.023636434518584548, score=0.624271 -   1.5s
[CV] c1=0.9122148334853062, c2=0.013256200947447953 ..................
[CV]  c1=0.9122148334853062, c2=0.013256200947447953, score=0.710627 -   1.2s
[CV] c1=0.12403049903726275, c2=0.018588710042572208 .................
[CV]  c1=0.12403049903726275, c2=0.018588710042572208, score=0.788844 -   1.5s
[CV] c1=0.11324360917698002, c2=0.04768062623898021 ..................
[CV]  c1=0.11324360917698002, c2=0.04768062623898021, score=0.828690 -   1.4s
[CV] c1=0.5359284933532247, c2=0.09232700164151013 ...................
[CV]  c1=0.5359284933532247, c2=0.09232700164151013, score=0.729434 -   1.1s
[CV] c1=0.08756121854078795, c2=0.023018022987103412 .................
[CV]  c1=0.08756121854078795, c2=0.023018022987103412, score=0.861157 -   1.4s
[CV] c1=0.5317199308569328, c2=0.06256472666666905 ...................
[CV]  c1=0.5317199308569328, c2=0.06256472666666905, score=0.777171 -   1.5s
[CV] c1=0.45711545201398995, c2=0.013438948156019646 .................
[CV]  c1=0.45711545201398995, c2=0.013438948156019646, score=0.883118 -   1.4s
[CV] c1=0.24987543278671823, c2=0.055970310749963705 .................
[CV]  c1=0.24987543278671823, c2=0.055970310749963705, score=0.860889 -   1.5s
[CV] c1=0.05250088633187875, c2=0.006620338939931378 .................
[CV]  c1=0.05250088633187875, c2=0.006620338939931378, score=0.879737 -   1.1s
Training done in: 19.788776s
     Saving training model...
        Saving training model done in: 0.015555s
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Prediction done in: 0.036121s