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

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Run10_v13.txt 65.3 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: Run10
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: FalseS4: True
Run variant: 13
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: 0.003617s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0      1
0       lemma      :
1      postag      :
2    -1:lemma     in
3   -1:postag     IN
4    +1:lemma     m9
5   +1:postag     NN
6      hUpper  False
7      hLower  False
8      hGreek  False
9        symb  False
10  lemma[:1]      :
11     -1:ner      _
12     +1:ner    MED
13     -2:ner      _
14     +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      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10  lemma[:1]           d
11  lemma[:2]          de
12     -1:ner           _
13     +1:ner           _
14     -2:ner           _
15     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.1435874816052063, c2=0.013637807050645288 ..................
[CV]  c1=0.1435874816052063, c2=0.013637807050645288, score=0.788641 -   1.2s
[CV] c1=0.42545712152003395, c2=0.034751574345639004 .................
[CV]  c1=0.42545712152003395, c2=0.034751574345639004, score=0.856671 -   1.4s
[CV] c1=1.9804069268020148, c2=0.1484539719273407 ....................
[CV]  c1=1.9804069268020148, c2=0.1484539719273407, score=0.532625 -   1.4s
[CV] c1=1.0854808566706398, c2=0.1481347809230374 ....................
[CV]  c1=1.0854808566706398, c2=0.1481347809230374, score=0.803411 -   1.4s
[CV] c1=0.37295551222296697, c2=0.006157048349395098 .................
[CV]  c1=0.37295551222296697, c2=0.006157048349395098, score=0.821578 -   1.5s
[CV] c1=0.46791591598382537, c2=0.004458370620670651 .................
[CV]  c1=0.46791591598382537, c2=0.004458370620670651, score=0.783594 -   1.1s
[CV] c1=0.36213399547973346, c2=0.030028112304232347 .................
[CV]  c1=0.36213399547973346, c2=0.030028112304232347, score=0.780865 -   1.4s
[CV] c1=0.33655873861706403, c2=0.023973757235353818 .................
[CV]  c1=0.33655873861706403, c2=0.023973757235353818, score=0.768117 -   1.4s
[CV] c1=0.11772628907837422, c2=0.012610492617767796 .................
[CV]  c1=0.11772628907837422, c2=0.012610492617767796, score=0.876260 -   1.4s
[CV] c1=2.4145137263250054, c2=0.10410168033710097 ...................
[CV]  c1=2.4145137263250054, c2=0.10410168033710097, score=0.643307 -   1.1s
[CV] c1=0.6189363151343691, c2=0.034630263276739445 ..................
[CV]  c1=0.6189363151343691, c2=0.034630263276739445, score=0.794986 -   1.3s
[CV] c1=0.09722982561462531, c2=0.018729943641328337 .................
[CV]  c1=0.09722982561462531, c2=0.018729943641328337, score=0.801642 -   1.5s
[CV] c1=0.3033074322259214, c2=0.013250193685527586 ..................
[CV]  c1=0.3033074322259214, c2=0.013250193685527586, score=0.776002 -   1.2s
[CV] c1=0.11793884636792755, c2=0.09882481465368374 ..................
[CV]  c1=0.11793884636792755, c2=0.09882481465368374, score=0.761597 -   1.3s
[CV] c1=0.019546535601988137, c2=0.01353478418629549 .................
[CV]  c1=0.019546535601988137, c2=0.01353478418629549, score=0.775881 -   1.1s
[CV] c1=0.281035561673798, c2=0.025276564127118584 ...................
[CV]  c1=0.281035561673798, c2=0.025276564127118584, score=0.775374 -   1.5s
[CV] c1=1.078175863434242, c2=0.022077577768474226 ...................
[CV]  c1=1.078175863434242, c2=0.022077577768474226, score=0.664637 -   1.4s
[CV] c1=0.061266770264903674, c2=0.056442897141662556 ................
[CV]  c1=0.061266770264903674, c2=0.056442897141662556, score=0.823554 -   1.4s
[CV] c1=0.10360398290251113, c2=0.050201546301060364 .................
[CV]  c1=0.10360398290251113, c2=0.050201546301060364, score=0.783206 -   1.4s
[CV] c1=0.6503412897934335, c2=0.008054794565471838 ..................
[CV]  c1=0.6503412897934335, c2=0.008054794565471838, score=0.761425 -   1.1s
[CV] c1=0.8918347525042118, c2=0.07442855886485436 ...................
[CV]  c1=0.8918347525042118, c2=0.07442855886485436, score=0.735610 -   1.5s
[CV] c1=0.32601810039391416, c2=0.01864275991258817 ..................
[CV]  c1=0.32601810039391416, c2=0.01864275991258817, score=0.838514 -   1.4s
[CV] c1=1.0683648128902778, c2=0.053338065606079614 ..................
[CV]  c1=1.0683648128902778, c2=0.053338065606079614, score=0.682775 -   1.3s
[CV] c1=0.7850187843833185, c2=0.03506743885198602 ...................
[CV]  c1=0.7850187843833185, c2=0.03506743885198602, score=0.856876 -   1.4s
[CV] c1=0.9113916885269914, c2=0.07907937121843377 ...................
[CV]  c1=0.9113916885269914, c2=0.07907937121843377, score=0.792917 -   1.4s
[CV] c1=0.11793884636792755, c2=0.09882481465368374 ..................
[CV]  c1=0.11793884636792755, c2=0.09882481465368374, score=0.765522 -   1.4s
[CV] c1=0.15143770933989112, c2=0.012131666944343065 .................
[CV]  c1=0.15143770933989112, c2=0.012131666944343065, score=0.879508 -   1.4s
[CV] c1=0.7055392966495958, c2=0.03124826614832085 ...................
[CV]  c1=0.7055392966495958, c2=0.03124826614832085, score=0.683286 -   1.5s
[CV] c1=0.6427888381999359, c2=0.1995927378651203 ....................
[CV]  c1=0.6427888381999359, c2=0.1995927378651203, score=0.855412 -   1.3s
[CV] c1=0.8044742246447144, c2=0.025984400702258006 ..................
[CV]  c1=0.8044742246447144, c2=0.025984400702258006, score=0.729477 -   1.2s
[CV] c1=0.41903070371225426, c2=0.15596297039163842 ..................
[CV]  c1=0.41903070371225426, c2=0.15596297039163842, score=0.725400 -   1.2s
[CV] c1=0.33655873861706403, c2=0.023973757235353818 .................
[CV]  c1=0.33655873861706403, c2=0.023973757235353818, score=0.869167 -   1.4s
[CV] c1=0.15606482225747093, c2=0.03210875317797263 ..................
[CV]  c1=0.15606482225747093, c2=0.03210875317797263, score=0.876879 -   1.3s
[CV] c1=0.7493211317934058, c2=0.02493277530345008 ...................
[CV]  c1=0.7493211317934058, c2=0.02493277530345008, score=0.696160 -   1.8s
[CV] c1=1.2077093604862716, c2=0.06479602744664702 ...................
[CV]  c1=1.2077093604862716, c2=0.06479602744664702, score=0.675685 -   1.1s
[CV] c1=0.7850187843833185, c2=0.03506743885198602 ...................
[CV]  c1=0.7850187843833185, c2=0.03506743885198602, score=0.772007 -   1.3s
[CV] c1=0.20411582012162993, c2=0.008543348673878754 .................
[CV]  c1=0.20411582012162993, c2=0.008543348673878754, score=0.877878 -   1.3s
[CV] c1=0.19241702388493934, c2=0.003677792778055598 .................
[CV]  c1=0.19241702388493934, c2=0.003677792778055598, score=0.831419 -   1.3s
[CV] c1=0.783315907408944, c2=0.017667026468736625 ...................
[CV]  c1=0.783315907408944, c2=0.017667026468736625, score=0.818621 -   1.5s
[CV] c1=0.015530876592793922, c2=0.002785687387922075 ................
[CV]  c1=0.015530876592793922, c2=0.002785687387922075, score=0.822632 -   1.5s
[CV] c1=0.7972709432710363, c2=0.1793415439226418 ....................
[CV]  c1=0.7972709432710363, c2=0.1793415439226418, score=0.629875 -   1.5s
[CV] c1=0.061266770264903674, c2=0.056442897141662556 ................
[CV]  c1=0.061266770264903674, c2=0.056442897141662556, score=0.810414 -   1.5s
[CV] c1=0.10360398290251113, c2=0.050201546301060364 .................
[CV]  c1=0.10360398290251113, c2=0.050201546301060364, score=0.792716 -   1.2s
[CV] c1=1.2931800695821685, c2=0.0689537276001304 ....................
[CV]  c1=1.2931800695821685, c2=0.0689537276001304, score=0.644446 -   1.3s
[CV] c1=0.565001497226486, c2=0.05229920916634645 ....................
[CV]  c1=0.565001497226486, c2=0.05229920916634645, score=0.809603 -   1.4s
[CV] c1=0.7493211317934058, c2=0.02493277530345008 ...................
[CV]  c1=0.7493211317934058, c2=0.02493277530345008, score=0.732715 -   1.5s
[CV] c1=1.0683648128902778, c2=0.053338065606079614 ..................
[CV]  c1=1.0683648128902778, c2=0.053338065606079614, score=0.825130 -   1.3s
[CV] c1=0.09722982561462531, c2=0.018729943641328337 .................
[CV]  c1=0.09722982561462531, c2=0.018729943641328337, score=0.807111 -   1.4s
[CV] c1=0.1435874816052063, c2=0.013637807050645288 ..................
[CV]  c1=0.1435874816052063, c2=0.013637807050645288, score=0.817859 -   1.4s
[CV] c1=0.8192944494998928, c2=0.030591620157142313 ..................
[CV]  c1=0.8192944494998928, c2=0.030591620157142313, score=0.680993 -   1.1s
[CV] c1=0.019546535601988137, c2=0.01353478418629549 .................
[CV]  c1=0.019546535601988137, c2=0.01353478418629549, score=0.842336 -   1.3s
[CV] c1=1.0854808566706398, c2=0.1481347809230374 ....................
[CV]  c1=1.0854808566706398, c2=0.1481347809230374, score=0.603758 -   1.4s
[CV] c1=0.05959254934630577, c2=0.058951152180620685 .................
[CV]  c1=0.05959254934630577, c2=0.058951152180620685, score=0.886686 -   1.5s
[CV] c1=0.46791591598382537, c2=0.004458370620670651 .................
[CV]  c1=0.46791591598382537, c2=0.004458370620670651, score=0.822493 -   1.4s
[CV] c1=0.41903070371225426, c2=0.15596297039163842 ..................
[CV]  c1=0.41903070371225426, c2=0.15596297039163842, score=0.787374 -   1.4s
[CV] c1=0.5123242747411237, c2=0.06451528276640627 ...................
[CV]  c1=0.5123242747411237, c2=0.06451528276640627, score=0.863332 -   1.3s
[CV] c1=0.11772628907837422, c2=0.012610492617767796 .................
[CV]  c1=0.11772628907837422, c2=0.012610492617767796, score=0.848506 -   1.3s
[CV] c1=2.4145137263250054, c2=0.10410168033710097 ...................
[CV]  c1=2.4145137263250054, c2=0.10410168033710097, score=0.578066 -   1.4s
[CV] c1=0.028463096500968642, c2=0.07174717327321037 .................
[CV]  c1=0.028463096500968642, c2=0.07174717327321037, score=0.736394 -   1.3s
[CV] c1=0.7850187843833185, c2=0.03506743885198602 ...................
[CV]  c1=0.7850187843833185, c2=0.03506743885198602, score=0.696160 -   1.3s
[CV] c1=0.039744810954933575, c2=0.15601334848767276 .................
[CV]  c1=0.039744810954933575, c2=0.15601334848767276, score=0.842784 -   1.4s
[CV] c1=0.42545712152003395, c2=0.034751574345639004 .................
[CV]  c1=0.42545712152003395, c2=0.034751574345639004, score=0.835679 -   1.4s
[CV] c1=0.019546535601988137, c2=0.01353478418629549 .................
[CV]  c1=0.019546535601988137, c2=0.01353478418629549, score=0.790485 -   1.4s
[CV] c1=0.7055392966495958, c2=0.03124826614832085 ...................
[CV]  c1=0.7055392966495958, c2=0.03124826614832085, score=0.778491 -   1.4s
[CV] c1=0.05959254934630577, c2=0.058951152180620685 .................
[CV]  c1=0.05959254934630577, c2=0.058951152180620685, score=0.843878 -   1.4s
[CV] c1=0.46791591598382537, c2=0.004458370620670651 .................
[CV]  c1=0.46791591598382537, c2=0.004458370620670651, score=0.751125 -   1.5s
[CV] c1=0.41903070371225426, c2=0.15596297039163842 ..................
[CV]  c1=0.41903070371225426, c2=0.15596297039163842, score=0.781038 -   1.4s
[CV] c1=0.5123242747411237, c2=0.06451528276640627 ...................
[CV]  c1=0.5123242747411237, c2=0.06451528276640627, score=0.760438 -   1.1s
[CV] c1=0.15606482225747093, c2=0.03210875317797263 ..................
[CV]  c1=0.15606482225747093, c2=0.03210875317797263, score=0.789163 -   1.4s
[CV] c1=0.32601810039391416, c2=0.01864275991258817 ..................
[CV]  c1=0.32601810039391416, c2=0.01864275991258817, score=0.816282 -   1.5s
[CV] c1=0.028463096500968642, c2=0.07174717327321037 .................
[CV]  c1=0.028463096500968642, c2=0.07174717327321037, score=0.848916 -   1.3s
[CV] c1=0.1463460228274437, c2=0.18980970201563496 ...................
[CV]  c1=0.1463460228274437, c2=0.18980970201563496, score=0.794173 -   1.3s
[CV] c1=0.3033074322259214, c2=0.013250193685527586 ..................
[CV]  c1=0.3033074322259214, c2=0.013250193685527586, score=0.780463 -   1.4s
[CV] c1=0.933313979147858, c2=0.0459302667114278 .....................
[CV]  c1=0.933313979147858, c2=0.0459302667114278, score=0.671912 -   1.2s
[CV] c1=0.20207791721530427, c2=0.06133622339148501 ..................
[CV]  c1=0.20207791721530427, c2=0.06133622339148501, score=0.881867 -   1.3s
[CV] c1=0.31545478952234374, c2=0.012624156823204065 .................
[CV]  c1=0.31545478952234374, c2=0.012624156823204065, score=0.891158 -   1.4s
[CV] c1=0.6427888381999359, c2=0.1995927378651203 ....................
[CV]  c1=0.6427888381999359, c2=0.1995927378651203, score=0.643098 -   1.4s
[CV] c1=0.8044742246447144, c2=0.025984400702258006 ..................
[CV]  c1=0.8044742246447144, c2=0.025984400702258006, score=0.799754 -   1.3s
[CV] c1=0.08745509334749317, c2=0.04107052583417909 ..................
[CV]  c1=0.08745509334749317, c2=0.04107052583417909, score=0.884244 -   1.4s
[CV] c1=0.5123242747411237, c2=0.06451528276640627 ...................
[CV]  c1=0.5123242747411237, c2=0.06451528276640627, score=0.821114 -   1.4s
[CV] c1=0.16654775144723954, c2=0.12095619000494272 ..................
[CV]  c1=0.16654775144723954, c2=0.12095619000494272, score=0.784241 -   1.4s
[CV] c1=0.08675005487242365, c2=0.038069607354378976 .................
[CV]  c1=0.08675005487242365, c2=0.038069607354378976, score=0.781258 -   1.1s
[CV] c1=1.2077093604862716, c2=0.06479602744664702 ...................
[CV]  c1=1.2077093604862716, c2=0.06479602744664702, score=0.798399 -   1.4s
[CV] c1=0.7747671162099009, c2=0.033226485382932026 ..................
[CV]  c1=0.7747671162099009, c2=0.033226485382932026, score=0.722026 -   1.2s
[CV] c1=0.1435874816052063, c2=0.013637807050645288 ..................
[CV]  c1=0.1435874816052063, c2=0.013637807050645288, score=0.876260 -   1.4s
[CV] c1=0.45080547782358377, c2=0.027491433844218174 .................
[CV]  c1=0.45080547782358377, c2=0.027491433844218174, score=0.806868 -   1.3s
[CV] c1=0.15143770933989112, c2=0.012131666944343065 .................
[CV]  c1=0.15143770933989112, c2=0.012131666944343065, score=0.849350 -   1.3s
[CV] c1=0.7055392966495958, c2=0.03124826614832085 ...................
[CV]  c1=0.7055392966495958, c2=0.03124826614832085, score=0.724431 -   1.2s
[CV] c1=0.37295551222296697, c2=0.006157048349395098 .................
[CV]  c1=0.37295551222296697, c2=0.006157048349395098, score=0.842816 -   1.3s
[CV] c1=0.024540809889874667, c2=0.026391277040087664 ................
[CV]  c1=0.024540809889874667, c2=0.026391277040087664, score=0.758745 -   1.1s
[CV] c1=3.0943931689310493, c2=0.0724159334371477 ....................
[CV]  c1=3.0943931689310493, c2=0.0724159334371477, score=0.481062 -   1.5s
[CV] c1=1.2931800695821685, c2=0.0689537276001304 ....................
[CV]  c1=1.2931800695821685, c2=0.0689537276001304, score=0.795909 -   1.4s
[CV] c1=0.8918347525042118, c2=0.07442855886485436 ...................
[CV]  c1=0.8918347525042118, c2=0.07442855886485436, score=0.788714 -   1.4s
[CV] c1=0.32601810039391416, c2=0.01864275991258817 ..................
[CV]  c1=0.32601810039391416, c2=0.01864275991258817, score=0.881559 -   1.5s
[CV] c1=1.0683648128902778, c2=0.053338065606079614 ..................
[CV]  c1=1.0683648128902778, c2=0.053338065606079614, score=0.638578 -   1.4s
[CV] c1=0.7850187843833185, c2=0.03506743885198602 ...................
[CV]  c1=0.7850187843833185, c2=0.03506743885198602, score=0.738001 -   1.4s
[CV] c1=0.2934932031434862, c2=0.061992007953382666 ..................
[CV]  c1=0.2934932031434862, c2=0.061992007953382666, score=0.768074 -   1.1s
[CV] c1=0.11793884636792755, c2=0.09882481465368374 ..................
[CV]  c1=0.11793884636792755, c2=0.09882481465368374, score=0.783545 -   1.3s
[CV] c1=0.15143770933989112, c2=0.012131666944343065 .................
[CV]  c1=0.15143770933989112, c2=0.012131666944343065, score=0.789976 -   1.1s
[CV] c1=0.1842691520710151, c2=0.09860592473403354 ...................
[CV]  c1=0.1842691520710151, c2=0.09860592473403354, score=0.749146 -   1.1s
[CV] c1=0.43672310832924577, c2=0.036948739742649846 .................
[CV]  c1=0.43672310832924577, c2=0.036948739742649846, score=0.750070 -   1.4s
[CV] c1=0.2930842471987322, c2=0.0055968816660561275 .................
[CV]  c1=0.2930842471987322, c2=0.0055968816660561275, score=0.813676 -   1.4s
[CV] c1=3.0943931689310493, c2=0.0724159334371477 ....................
[CV]  c1=3.0943931689310493, c2=0.0724159334371477, score=0.565677 -   1.4s
[CV] c1=0.26545135326230895, c2=0.01042852832144689 ..................
[CV]  c1=0.26545135326230895, c2=0.01042852832144689, score=0.802944 -   1.5s
[CV] c1=0.8918347525042118, c2=0.07442855886485436 ...................
[CV]  c1=0.8918347525042118, c2=0.07442855886485436, score=0.671292 -   1.5s
[CV] c1=0.32601810039391416, c2=0.01864275991258817 ..................
[CV]  c1=0.32601810039391416, c2=0.01864275991258817, score=0.789490 -   1.4s
[CV] c1=1.0683648128902778, c2=0.053338065606079614 ..................
[CV]  c1=1.0683648128902778, c2=0.053338065606079614, score=0.658247 -   1.5s
[CV] c1=0.1463460228274437, c2=0.18980970201563496 ...................
[CV]  c1=0.1463460228274437, c2=0.18980970201563496, score=0.717017 -   1.4s
[CV] c1=0.2934932031434862, c2=0.061992007953382666 ..................
[CV]  c1=0.2934932031434862, c2=0.061992007953382666, score=0.878170 -   1.3s
[CV] c1=0.933313979147858, c2=0.0459302667114278 .....................
[CV]  c1=0.933313979147858, c2=0.0459302667114278, score=0.862899 -   1.4s
[CV] c1=0.20207791721530427, c2=0.06133622339148501 ..................
[CV]  c1=0.20207791721530427, c2=0.06133622339148501, score=0.815006 -   1.3s
[CV] c1=0.31545478952234374, c2=0.012624156823204065 .................
[CV]  c1=0.31545478952234374, c2=0.012624156823204065, score=0.840817 -   1.4s
[CV] c1=0.6427888381999359, c2=0.1995927378651203 ....................
[CV]  c1=0.6427888381999359, c2=0.1995927378651203, score=0.734751 -   1.4s
[CV] c1=0.8044742246447144, c2=0.025984400702258006 ..................
[CV]  c1=0.8044742246447144, c2=0.025984400702258006, score=0.732781 -   1.4s
[CV] c1=0.08745509334749317, c2=0.04107052583417909 ..................
[CV]  c1=0.08745509334749317, c2=0.04107052583417909, score=0.847759 -   1.3s
[CV] c1=0.5123242747411237, c2=0.06451528276640627 ...................
[CV]  c1=0.5123242747411237, c2=0.06451528276640627, score=0.718090 -   1.3s
[CV] c1=0.16654775144723954, c2=0.12095619000494272 ..................
[CV]  c1=0.16654775144723954, c2=0.12095619000494272, score=0.759326 -   1.5s
[CV] c1=0.6660223531817993, c2=0.0234947035812973 ....................
[CV]  c1=0.6660223531817993, c2=0.0234947035812973, score=0.784196 -   1.3s
[CV] c1=1.2077093604862716, c2=0.06479602744664702 ...................
[CV]  c1=1.2077093604862716, c2=0.06479602744664702, score=0.783027 -   1.5s
[CV] c1=0.018536186782325558, c2=0.02263075929404891 .................
[CV]  c1=0.018536186782325558, c2=0.02263075929404891, score=0.769766 -   1.1s
[CV] c1=0.2934932031434862, c2=0.061992007953382666 ..................
[CV]  c1=0.2934932031434862, c2=0.061992007953382666, score=0.768288 -   1.3s
[CV] c1=0.933313979147858, c2=0.0459302667114278 .....................
[CV]  c1=0.933313979147858, c2=0.0459302667114278, score=0.675342 -   1.5s
[CV] c1=0.2543687665111658, c2=0.04697805335421305 ...................
[CV]  c1=0.2543687665111658, c2=0.04697805335421305, score=0.873669 -   1.4s
[CV] c1=0.1237166539370316, c2=0.07440702151500453 ...................
[CV]  c1=0.1237166539370316, c2=0.07440702151500453, score=0.770322 -   1.1s
[CV] c1=0.30137201326615104, c2=0.02466064812718528 ..................
[CV]  c1=0.30137201326615104, c2=0.02466064812718528, score=0.878682 -   1.4s
[CV] c1=0.15545153737627038, c2=0.1336955442842633 ...................
[CV]  c1=0.15545153737627038, c2=0.1336955442842633, score=0.865903 -   1.3s
[CV] c1=0.18753411023519778, c2=0.1064855391998319 ...................
[CV]  c1=0.18753411023519778, c2=0.1064855391998319, score=0.873246 -   1.4s
[CV] c1=0.8188322364716051, c2=0.1718543437608106 ....................
[CV]  c1=0.8188322364716051, c2=0.1718543437608106, score=0.834668 -   1.3s
[CV] c1=2.2813650059976855, c2=0.07518560781960776 ...................
[CV]  c1=2.2813650059976855, c2=0.07518560781960776, score=0.763869 -   1.4s
[CV] c1=0.08675005487242365, c2=0.038069607354378976 .................
[CV]  c1=0.08675005487242365, c2=0.038069607354378976, score=0.887884 -   1.4s
[CV] c1=0.3196679496772926, c2=0.05753122277427894 ...................
[CV]  c1=0.3196679496772926, c2=0.05753122277427894, score=0.774862 -   1.1s
[CV] c1=0.7747671162099009, c2=0.033226485382932026 ..................
[CV]  c1=0.7747671162099009, c2=0.033226485382932026, score=0.852001 -   1.3s
[CV] c1=0.2934932031434862, c2=0.061992007953382666 ..................
[CV]  c1=0.2934932031434862, c2=0.061992007953382666, score=0.810736 -   1.3s
[CV] c1=0.933313979147858, c2=0.0459302667114278 .....................
[CV]  c1=0.933313979147858, c2=0.0459302667114278, score=0.664450 -   1.4s
[CV] c1=0.3757759950640362, c2=0.0435846420994413 ....................
[CV]  c1=0.3757759950640362, c2=0.0435846420994413, score=0.747234 -   1.4s
[CV] c1=1.4565408390467827, c2=0.06603152883900613 ...................
[CV]  c1=1.4565408390467827, c2=0.06603152883900613, score=0.764696 -   1.4s
[CV] c1=0.30137201326615104, c2=0.02466064812718528 ..................
[CV]  c1=0.30137201326615104, c2=0.02466064812718528, score=0.776520 -   1.5s
[CV] c1=0.09023846348003213, c2=0.03471153883077873 ..................
[CV]  c1=0.09023846348003213, c2=0.03471153883077873, score=0.876260 -   1.4s
[CV] c1=0.18753411023519778, c2=0.1064855391998319 ...................
[CV]  c1=0.18753411023519778, c2=0.1064855391998319, score=0.778169 -   1.5s
[CV] c1=1.218921335382224, c2=0.03498011053623546 ....................
[CV]  c1=1.218921335382224, c2=0.03498011053623546, score=0.617791 -   1.1s
[CV] c1=2.2813650059976855, c2=0.07518560781960776 ...................
[CV]  c1=2.2813650059976855, c2=0.07518560781960776, score=0.619728 -   1.1s
[CV] c1=2.4145137263250054, c2=0.10410168033710097 ...................
[CV]  c1=2.4145137263250054, c2=0.10410168033710097, score=0.584124 -   1.4s
[CV] c1=0.028463096500968642, c2=0.07174717327321037 .................
[CV]  c1=0.028463096500968642, c2=0.07174717327321037, score=0.818781 -   1.4s
[CV] c1=0.1463460228274437, c2=0.18980970201563496 ...................
[CV]  c1=0.1463460228274437, c2=0.18980970201563496, score=0.757109 -   1.4s
[CV] c1=0.20411582012162993, c2=0.008543348673878754 .................
[CV]  c1=0.20411582012162993, c2=0.008543348673878754, score=0.788391 -   1.3s
[CV] c1=0.04085576762564351, c2=0.0958455741788717 ...................
[CV]  c1=0.04085576762564351, c2=0.0958455741788717, score=0.782136 -   1.1s
[CV] c1=0.783315907408944, c2=0.017667026468736625 ...................
[CV]  c1=0.783315907408944, c2=0.017667026468736625, score=0.696160 -   1.5s
[CV] c1=0.015530876592793922, c2=0.002785687387922075 ................
[CV]  c1=0.015530876592793922, c2=0.002785687387922075, score=0.875730 -   1.4s
[CV] c1=0.43672310832924577, c2=0.036948739742649846 .................
[CV]  c1=0.43672310832924577, c2=0.036948739742649846, score=0.775945 -   1.2s
[CV] c1=0.07084143950933679, c2=0.08187005913009054 ..................
[CV]  c1=0.07084143950933679, c2=0.08187005913009054, score=0.817258 -   1.4s
[CV] c1=0.09023846348003213, c2=0.03471153883077873 ..................
[CV]  c1=0.09023846348003213, c2=0.03471153883077873, score=0.846139 -   1.3s
[CV] c1=1.054736325998749, c2=0.0004398541839772652 ..................
[CV]  c1=1.054736325998749, c2=0.0004398541839772652, score=0.677382 -   1.2s
[CV] c1=0.8188322364716051, c2=0.1718543437608106 ....................
[CV]  c1=0.8188322364716051, c2=0.1718543437608106, score=0.754000 -   1.3s
[CV] c1=2.2813650059976855, c2=0.07518560781960776 ...................
[CV]  c1=2.2813650059976855, c2=0.07518560781960776, score=0.574382 -   1.4s
[CV] c1=0.08675005487242365, c2=0.038069607354378976 .................
[CV]  c1=0.08675005487242365, c2=0.038069607354378976, score=0.817482 -   1.3s
[CV] c1=0.3196679496772926, c2=0.05753122277427894 ...................
[CV]  c1=0.3196679496772926, c2=0.05753122277427894, score=0.775980 -   1.4s
[CV] c1=1.4602082719968332, c2=0.09016296184721911 ...................
[CV]  c1=1.4602082719968332, c2=0.09016296184721911, score=0.623357 -   1.1s
[CV] c1=0.3033074322259214, c2=0.013250193685527586 ..................
[CV]  c1=0.3033074322259214, c2=0.013250193685527586, score=0.807604 -   1.4s
[CV] c1=0.8192944494998928, c2=0.030591620157142313 ..................
[CV]  c1=0.8192944494998928, c2=0.030591620157142313, score=0.782512 -   1.3s
[CV] c1=0.20207791721530427, c2=0.06133622339148501 ..................
[CV]  c1=0.20207791721530427, c2=0.06133622339148501, score=0.772916 -   1.3s
[CV] c1=0.31545478952234374, c2=0.012624156823204065 .................
[CV]  c1=0.31545478952234374, c2=0.012624156823204065, score=0.776214 -   1.3s
[CV] c1=0.6427888381999359, c2=0.1995927378651203 ....................
[CV]  c1=0.6427888381999359, c2=0.1995927378651203, score=0.671139 -   1.1s
[CV] c1=0.46791591598382537, c2=0.004458370620670651 .................
[CV]  c1=0.46791591598382537, c2=0.004458370620670651, score=0.878758 -   1.4s
[CV] c1=0.41903070371225426, c2=0.15596297039163842 ..................
[CV]  c1=0.41903070371225426, c2=0.15596297039163842, score=0.676850 -   1.4s
[CV] c1=0.6503412897934335, c2=0.008054794565471838 ..................
[CV]  c1=0.6503412897934335, c2=0.008054794565471838, score=0.802745 -   1.4s
[CV] c1=0.16654775144723954, c2=0.12095619000494272 ..................
[CV]  c1=0.16654775144723954, c2=0.12095619000494272, score=0.871450 -   1.3s
[CV] c1=0.6660223531817993, c2=0.0234947035812973 ....................
[CV]  c1=0.6660223531817993, c2=0.0234947035812973, score=0.863609 -   1.3s
[CV] c1=0.028463096500968642, c2=0.07174717327321037 .................
[CV]  c1=0.028463096500968642, c2=0.07174717327321037, score=0.825500 -   1.5s
[CV] c1=0.7747671162099009, c2=0.033226485382932026 ..................
[CV]  c1=0.7747671162099009, c2=0.033226485382932026, score=0.687087 -   1.3s
[CV] c1=0.19346715748274185, c2=0.01383851292615958 ..................
[CV]  c1=0.19346715748274185, c2=0.01383851292615958, score=0.884798 -   1.5s
[CV] c1=0.42545712152003395, c2=0.034751574345639004 .................
[CV]  c1=0.42545712152003395, c2=0.034751574345639004, score=0.745172 -   1.3s
[CV] c1=1.9804069268020148, c2=0.1484539719273407 ....................
[CV]  c1=1.9804069268020148, c2=0.1484539719273407, score=0.580799 -   1.5s
[CV] c1=1.0854808566706398, c2=0.1481347809230374 ....................
[CV]  c1=1.0854808566706398, c2=0.1481347809230374, score=0.632343 -   1.5s
[CV] c1=0.05959254934630577, c2=0.058951152180620685 .................
[CV]  c1=0.05959254934630577, c2=0.058951152180620685, score=0.807446 -   1.4s
[CV] c1=0.8044742246447144, c2=0.025984400702258006 ..................
[CV]  c1=0.8044742246447144, c2=0.025984400702258006, score=0.856594 -   1.5s
[CV] c1=0.08745509334749317, c2=0.04107052583417909 ..................
[CV]  c1=0.08745509334749317, c2=0.04107052583417909, score=0.784955 -   1.5s
[CV] c1=0.8188322364716051, c2=0.1718543437608106 ....................
[CV]  c1=0.8188322364716051, c2=0.1718543437608106, score=0.658305 -   1.1s
[CV] c1=0.16654775144723954, c2=0.12095619000494272 ..................
[CV]  c1=0.16654775144723954, c2=0.12095619000494272, score=0.815006 -   1.4s
[CV] c1=0.6660223531817993, c2=0.0234947035812973 ....................
[CV]  c1=0.6660223531817993, c2=0.0234947035812973, score=0.689193 -   1.4s
[CV] c1=0.3196679496772926, c2=0.05753122277427894 ...................
[CV]  c1=0.3196679496772926, c2=0.05753122277427894, score=0.876832 -   1.3s
[CV] c1=0.7747671162099009, c2=0.033226485382932026 ..................
[CV]  c1=0.7747671162099009, c2=0.033226485382932026, score=0.782422 -   1.2s
[CV] c1=0.3033074322259214, c2=0.013250193685527586 ..................
[CV]  c1=0.3033074322259214, c2=0.013250193685527586, score=0.836259 -   1.4s
[CV] c1=0.8192944494998928, c2=0.030591620157142313 ..................
[CV]  c1=0.8192944494998928, c2=0.030591620157142313, score=0.732715 -   1.5s
[CV] c1=0.3757759950640362, c2=0.0435846420994413 ....................
[CV]  c1=0.3757759950640362, c2=0.0435846420994413, score=0.809507 -   1.4s
[CV] c1=0.1237166539370316, c2=0.07440702151500453 ...................
[CV]  c1=0.1237166539370316, c2=0.07440702151500453, score=0.881389 -   1.4s
[CV] c1=0.30137201326615104, c2=0.02466064812718528 ..................
[CV]  c1=0.30137201326615104, c2=0.02466064812718528, score=0.756145 -   1.5s
[CV] c1=0.09023846348003213, c2=0.03471153883077873 ..................
[CV]  c1=0.09023846348003213, c2=0.03471153883077873, score=0.808231 -   1.1s
[CV] c1=0.18753411023519778, c2=0.1064855391998319 ...................
[CV]  c1=0.18753411023519778, c2=0.1064855391998319, score=0.783612 -   1.1s
[CV] c1=0.6503412897934335, c2=0.008054794565471838 ..................
[CV]  c1=0.6503412897934335, c2=0.008054794565471838, score=0.796037 -   1.4s
[CV] c1=0.16654775144723954, c2=0.12095619000494272 ..................
[CV]  c1=0.16654775144723954, c2=0.12095619000494272, score=0.769785 -   1.2s
[CV] c1=2.4145137263250054, c2=0.10410168033710097 ...................
[CV]  c1=2.4145137263250054, c2=0.10410168033710097, score=0.673586 -   1.4s
[CV] c1=0.028463096500968642, c2=0.07174717327321037 .................
[CV]  c1=0.028463096500968642, c2=0.07174717327321037, score=0.884461 -   1.3s
[CV] c1=0.1463460228274437, c2=0.18980970201563496 ...................
[CV]  c1=0.1463460228274437, c2=0.18980970201563496, score=0.866589 -   1.4s
[CV] c1=0.9113916885269914, c2=0.07907937121843377 ...................
[CV]  c1=0.9113916885269914, c2=0.07907937121843377, score=0.664450 -   1.4s
[CV] c1=0.45080547782358377, c2=0.027491433844218174 .................
[CV]  c1=0.45080547782358377, c2=0.027491433844218174, score=0.734838 -   1.4s
[CV] c1=0.15143770933989112, c2=0.012131666944343065 .................
[CV]  c1=0.15143770933989112, c2=0.012131666944343065, score=0.808711 -   1.4s
[CV] c1=0.31545478952234374, c2=0.012624156823204065 .................
[CV]  c1=0.31545478952234374, c2=0.012624156823204065, score=0.831236 -   1.4s
[CV] c1=0.30137201326615104, c2=0.02466064812718528 ..................
[CV]  c1=0.30137201326615104, c2=0.02466064812718528, score=0.779123 -   1.2s
[CV] c1=0.46791591598382537, c2=0.004458370620670651 .................
[CV]  c1=0.46791591598382537, c2=0.004458370620670651, score=0.814304 -   1.4s
[CV] c1=0.08745509334749317, c2=0.04107052583417909 ..................
[CV]  c1=0.08745509334749317, c2=0.04107052583417909, score=0.812705 -   1.5s
[CV] c1=0.5123242747411237, c2=0.06451528276640627 ...................
[CV]  c1=0.5123242747411237, c2=0.06451528276640627, score=0.784071 -   1.5s
[CV] c1=2.2813650059976855, c2=0.07518560781960776 ...................
[CV]  c1=2.2813650059976855, c2=0.07518560781960776, score=0.594239 -   1.3s
[CV] c1=0.08675005487242365, c2=0.038069607354378976 .................
[CV]  c1=0.08675005487242365, c2=0.038069607354378976, score=0.845035 -   1.3s
[CV] c1=0.3196679496772926, c2=0.05753122277427894 ...................
[CV]  c1=0.3196679496772926, c2=0.05753122277427894, score=0.747429 -   1.4s
[CV] c1=0.018536186782325558, c2=0.02263075929404891 .................
[CV]  c1=0.018536186782325558, c2=0.02263075929404891, score=0.857680 -   1.2s
[CV] c1=0.20411582012162993, c2=0.008543348673878754 .................
[CV]  c1=0.20411582012162993, c2=0.008543348673878754, score=0.850314 -   1.1s
[CV] c1=0.19241702388493934, c2=0.003677792778055598 .................
[CV]  c1=0.19241702388493934, c2=0.003677792778055598, score=0.793661 -   1.1s
[CV] c1=0.783315907408944, c2=0.017667026468736625 ...................
[CV]  c1=0.783315907408944, c2=0.017667026468736625, score=0.858022 -   1.4s
[CV] c1=0.2543687665111658, c2=0.04697805335421305 ...................
[CV]  c1=0.2543687665111658, c2=0.04697805335421305, score=0.788134 -   1.1s
[CV] c1=1.4565408390467827, c2=0.06603152883900613 ...................
[CV]  c1=1.4565408390467827, c2=0.06603152883900613, score=0.615643 -   1.5s
[CV] c1=0.07084143950933679, c2=0.08187005913009054 ..................
[CV]  c1=0.07084143950933679, c2=0.08187005913009054, score=0.791977 -   1.2s
[CV] c1=0.15545153737627038, c2=0.1336955442842633 ...................
[CV]  c1=0.15545153737627038, c2=0.1336955442842633, score=0.769035 -   1.2s
[CV] c1=0.08745509334749317, c2=0.04107052583417909 ..................
[CV]  c1=0.08745509334749317, c2=0.04107052583417909, score=0.789162 -   1.2s
[CV] c1=0.6503412897934335, c2=0.008054794565471838 ..................
[CV]  c1=0.6503412897934335, c2=0.008054794565471838, score=0.714416 -   1.4s
[CV] c1=0.11772628907837422, c2=0.012610492617767796 .................
[CV]  c1=0.11772628907837422, c2=0.012610492617767796, score=0.803527 -   1.5s
[CV] c1=0.6660223531817993, c2=0.0234947035812973 ....................
[CV]  c1=0.6660223531817993, c2=0.0234947035812973, score=0.782422 -   1.4s
[CV] c1=1.2077093604862716, c2=0.06479602744664702 ...................
[CV]  c1=1.2077093604862716, c2=0.06479602744664702, score=0.604469 -   1.5s
[CV] c1=1.4602082719968332, c2=0.09016296184721911 ...................
[CV]  c1=1.4602082719968332, c2=0.09016296184721911, score=0.791237 -   1.3s
[CV] c1=0.6160678049842869, c2=0.12924436163297714 ...................
[CV]  c1=0.6160678049842869, c2=0.12924436163297714, score=0.780851 -   1.4s
[CV] c1=0.2766868213950029, c2=0.1102967170343421 ....................
[CV]  c1=0.2766868213950029, c2=0.1102967170343421, score=0.784318 -   1.4s
[CV] c1=1.9804069268020148, c2=0.1484539719273407 ....................
[CV]  c1=1.9804069268020148, c2=0.1484539719273407, score=0.604504 -   1.1s
[CV] c1=0.015530876592793922, c2=0.002785687387922075 ................
[CV]  c1=0.015530876592793922, c2=0.002785687387922075, score=0.813242 -   1.3s
[CV] c1=0.43672310832924577, c2=0.036948739742649846 .................
[CV]  c1=0.43672310832924577, c2=0.036948739742649846, score=0.815426 -   1.3s
[CV] c1=0.2930842471987322, c2=0.0055968816660561275 .................
[CV]  c1=0.2930842471987322, c2=0.0055968816660561275, score=0.886565 -   1.4s
[CV] c1=1.6382051189559148, c2=0.045575243530064764 ..................
[CV]  c1=1.6382051189559148, c2=0.045575243530064764, score=0.639014 -   1.2s
[CV] c1=1.054736325998749, c2=0.0004398541839772652 ..................
[CV]  c1=1.054736325998749, c2=0.0004398541839772652, score=0.803958 -   1.4s
[CV] c1=1.218921335382224, c2=0.03498011053623546 ....................
[CV]  c1=1.218921335382224, c2=0.03498011053623546, score=0.644280 -   1.4s
[CV] c1=1.0650916225343814, c2=0.024304209100436007 ..................
[CV]  c1=1.0650916225343814, c2=0.024304209100436007, score=0.657498 -   1.5s
[CV] c1=0.20803955629268447, c2=0.022986600947030478 .................
[CV]  c1=0.20803955629268447, c2=0.022986600947030478, score=0.769273 -   1.1s
[CV] c1=0.31260862692791047, c2=0.010319277168267124 .................
[CV]  c1=0.31260862692791047, c2=0.010319277168267124, score=0.788249 -   1.4s
[CV] c1=1.4602082719968332, c2=0.09016296184721911 ...................
[CV]  c1=1.4602082719968332, c2=0.09016296184721911, score=0.738885 -   1.2s
[CV] c1=0.6160678049842869, c2=0.12924436163297714 ...................
[CV]  c1=0.6160678049842869, c2=0.12924436163297714, score=0.675622 -   1.3s
[CV] c1=0.2766868213950029, c2=0.1102967170343421 ....................
[CV]  c1=0.2766868213950029, c2=0.1102967170343421, score=0.860101 -   1.3s
[CV] c1=0.15421700694778176, c2=0.0573403474663862 ...................
[CV]  c1=0.15421700694778176, c2=0.0573403474663862, score=0.881867 -   1.4s
[CV] c1=0.281035561673798, c2=0.025276564127118584 ...................
[CV]  c1=0.281035561673798, c2=0.025276564127118584, score=0.783871 -   1.5s
[CV] c1=1.078175863434242, c2=0.022077577768474226 ...................
[CV]  c1=1.078175863434242, c2=0.022077577768474226, score=0.841384 -   1.4s
[CV] c1=0.061266770264903674, c2=0.056442897141662556 ................
[CV]  c1=0.061266770264903674, c2=0.056442897141662556, score=0.871143 -   1.5s
[CV] c1=0.36213399547973346, c2=0.030028112304232347 .................
[CV]  c1=0.36213399547973346, c2=0.030028112304232347, score=0.768905 -   1.4s
[CV] c1=1.2931800695821685, c2=0.0689537276001304 ....................
[CV]  c1=1.2931800695821685, c2=0.0689537276001304, score=0.737672 -   1.3s
[CV] c1=0.8918347525042118, c2=0.07442855886485436 ...................
[CV]  c1=0.8918347525042118, c2=0.07442855886485436, score=0.690638 -   1.1s
[CV] c1=0.07482981772576386, c2=0.08277970581224613 ..................
[CV]  c1=0.07482981772576386, c2=0.08277970581224613, score=0.886158 -   1.4s
[CV] c1=0.07325733527880292, c2=0.09274064473984311 ..................
[CV]  c1=0.07325733527880292, c2=0.09274064473984311, score=0.792680 -   1.2s
[CV] c1=1.257126313727745, c2=0.2600436439822629 .....................
[CV]  c1=1.257126313727745, c2=0.2600436439822629, score=0.775784 -   1.4s
[CV] c1=0.10320432514151005, c2=0.0073572412581392925 ................
[CV]  c1=0.10320432514151005, c2=0.0073572412581392925, score=0.810414 -   1.1s
[CV] c1=0.039744810954933575, c2=0.15601334848767276 .................
[CV]  c1=0.039744810954933575, c2=0.15601334848767276, score=0.752569 -   1.4s
[CV] c1=0.11793884636792755, c2=0.09882481465368374 ..................
[CV]  c1=0.11793884636792755, c2=0.09882481465368374, score=0.869094 -   1.4s
[CV] c1=0.019546535601988137, c2=0.01353478418629549 .................
[CV]  c1=0.019546535601988137, c2=0.01353478418629549, score=0.821223 -   1.4s
[CV] c1=0.7055392966495958, c2=0.03124826614832085 ...................
[CV]  c1=0.7055392966495958, c2=0.03124826614832085, score=0.860836 -   1.3s
[CV] c1=0.05959254934630577, c2=0.058951152180620685 .................
[CV]  c1=0.05959254934630577, c2=0.058951152180620685, score=0.743609 -   1.0s
[CV] c1=0.035379032628739086, c2=0.05226801090638257 .................
[CV]  c1=0.035379032628739086, c2=0.05226801090638257, score=0.843878 -   1.3s
[CV] c1=3.0943931689310493, c2=0.0724159334371477 ....................
[CV]  c1=3.0943931689310493, c2=0.0724159334371477, score=0.521525 -   1.3s
[CV] c1=0.26545135326230895, c2=0.01042852832144689 ..................
[CV]  c1=0.26545135326230895, c2=0.01042852832144689, score=0.770335 -   1.2s
[CV] c1=0.5512774553572792, c2=0.04777011343313962 ...................
[CV]  c1=0.5512774553572792, c2=0.04777011343313962, score=0.854457 -   1.4s
[CV] c1=0.17712881532502814, c2=0.031239242055470254 .................
[CV]  c1=0.17712881532502814, c2=0.031239242055470254, score=0.799726 -   1.1s
[CV] c1=1.3917193883177936, c2=0.08354997683926754 ...................
[CV]  c1=1.3917193883177936, c2=0.08354997683926754, score=0.795620 -   1.4s
[CV] c1=0.31260862692791047, c2=0.010319277168267124 .................
[CV]  c1=0.31260862692791047, c2=0.010319277168267124, score=0.883103 -   1.5s
[CV] c1=0.10320432514151005, c2=0.0073572412581392925 ................
[CV]  c1=0.10320432514151005, c2=0.0073572412581392925, score=0.883723 -   1.2s
[CV] c1=0.039744810954933575, c2=0.15601334848767276 .................
[CV]  c1=0.039744810954933575, c2=0.15601334848767276, score=0.802485 -   0.9s
[CV] c1=0.19241702388493934, c2=0.003677792778055598 .................
[CV]  c1=0.19241702388493934, c2=0.003677792778055598, score=0.804585 -   1.4s
[CV] c1=0.3354359935080303, c2=0.003373779129604103 ..................
[CV]  c1=0.3354359935080303, c2=0.003373779129604103, score=0.785128 -   1.5s
[CV] c1=0.015530876592793922, c2=0.002785687387922075 ................
[CV]  c1=0.015530876592793922, c2=0.002785687387922075, score=0.776695 -   1.4s
[CV] c1=0.7972709432710363, c2=0.1793415439226418 ....................
[CV]  c1=0.7972709432710363, c2=0.1793415439226418, score=0.809344 -   1.3s
[CV] c1=0.035379032628739086, c2=0.05226801090638257 .................
[CV]  c1=0.035379032628739086, c2=0.05226801090638257, score=0.764271 -   1.2s
[CV] c1=1.6382051189559148, c2=0.045575243530064764 ..................
[CV]  c1=1.6382051189559148, c2=0.045575243530064764, score=0.781838 -   1.4s
[CV] c1=0.2334330078450294, c2=0.004844332197217237 ..................
[CV]  c1=0.2334330078450294, c2=0.004844332197217237, score=0.766571 -   1.1s
[CV] c1=1.218921335382224, c2=0.03498011053623546 ....................
[CV]  c1=1.218921335382224, c2=0.03498011053623546, score=0.643596 -   1.5s
[CV] c1=0.17712881532502814, c2=0.031239242055470254 .................
[CV]  c1=0.17712881532502814, c2=0.031239242055470254, score=0.887791 -   1.4s
[CV] c1=0.20803955629268447, c2=0.022986600947030478 .................
[CV]  c1=0.20803955629268447, c2=0.022986600947030478, score=0.876260 -   1.4s
[CV] c1=1.257126313727745, c2=0.2600436439822629 .....................
[CV]  c1=1.257126313727745, c2=0.2600436439822629, score=0.631464 -   1.2s
[CV] c1=1.4602082719968332, c2=0.09016296184721911 ...................
[CV]  c1=1.4602082719968332, c2=0.09016296184721911, score=0.622251 -   1.3s
[CV] c1=0.20411582012162993, c2=0.008543348673878754 .................
[CV]  c1=0.20411582012162993, c2=0.008543348673878754, score=0.775931 -   0.9s
[CV] c1=0.19241702388493934, c2=0.003677792778055598 .................
[CV]  c1=0.19241702388493934, c2=0.003677792778055598, score=0.886003 -   1.4s
[CV] c1=0.783315907408944, c2=0.017667026468736625 ...................
[CV]  c1=0.783315907408944, c2=0.017667026468736625, score=0.720789 -   1.2s
[CV] c1=0.3757759950640362, c2=0.0435846420994413 ....................
[CV]  c1=0.3757759950640362, c2=0.0435846420994413, score=0.842784 -   1.3s
[CV] c1=1.4565408390467827, c2=0.06603152883900613 ...................
[CV]  c1=1.4565408390467827, c2=0.06603152883900613, score=0.785297 -   1.5s
[CV] c1=0.30137201326615104, c2=0.02466064812718528 ..................
[CV]  c1=0.30137201326615104, c2=0.02466064812718528, score=0.845039 -   1.4s
[CV] c1=0.15545153737627038, c2=0.1336955442842633 ...................
[CV]  c1=0.15545153737627038, c2=0.1336955442842633, score=0.745388 -   1.5s
[CV] c1=1.054736325998749, c2=0.0004398541839772652 ..................
[CV]  c1=1.054736325998749, c2=0.0004398541839772652, score=0.848471 -   1.4s
[CV] c1=1.218921335382224, c2=0.03498011053623546 ....................
[CV]  c1=1.218921335382224, c2=0.03498011053623546, score=0.804203 -   1.4s
[CV] c1=1.0650916225343814, c2=0.024304209100436007 ..................
[CV]  c1=1.0650916225343814, c2=0.024304209100436007, score=0.815008 -   1.4s
[CV] c1=1.3917193883177936, c2=0.08354997683926754 ...................
[CV]  c1=1.3917193883177936, c2=0.08354997683926754, score=0.648089 -   1.2s
[CV] c1=0.3196679496772926, c2=0.05753122277427894 ...................
[CV]  c1=0.3196679496772926, c2=0.05753122277427894, score=0.845039 -   1.3s
[CV] c1=0.018536186782325558, c2=0.02263075929404891 .................
[CV]  c1=0.018536186782325558, c2=0.02263075929404891, score=0.833201 -   1.4s
[CV] c1=0.3033074322259214, c2=0.013250193685527586 ..................
[CV]  c1=0.3033074322259214, c2=0.013250193685527586, score=0.895541 -   1.4s
[CV] c1=0.8192944494998928, c2=0.030591620157142313 ..................
[CV]  c1=0.8192944494998928, c2=0.030591620157142313, score=0.689532 -   1.4s
[CV] c1=0.3757759950640362, c2=0.0435846420994413 ....................
[CV]  c1=0.3757759950640362, c2=0.0435846420994413, score=0.865897 -   1.5s
[CV] c1=1.4565408390467827, c2=0.06603152883900613 ...................
[CV]  c1=1.4565408390467827, c2=0.06603152883900613, score=0.582054 -   1.5s
[CV] c1=0.07084143950933679, c2=0.08187005913009054 ..................
[CV]  c1=0.07084143950933679, c2=0.08187005913009054, score=0.888296 -   1.4s
[CV] c1=0.15545153737627038, c2=0.1336955442842633 ...................
[CV]  c1=0.15545153737627038, c2=0.1336955442842633, score=0.779114 -   1.5s
[CV] c1=1.054736325998749, c2=0.0004398541839772652 ..................
[CV]  c1=1.054736325998749, c2=0.0004398541839772652, score=0.666431 -   1.4s
[CV] c1=1.218921335382224, c2=0.03498011053623546 ....................
[CV]  c1=1.218921335382224, c2=0.03498011053623546, score=0.787626 -   1.3s
[CV] c1=1.0650916225343814, c2=0.024304209100436007 ..................
[CV]  c1=1.0650916225343814, c2=0.024304209100436007, score=0.792917 -   1.4s
[CV] c1=1.3917193883177936, c2=0.08354997683926754 ...................
[CV]  c1=1.3917193883177936, c2=0.08354997683926754, score=0.779113 -   1.3s
[CV] c1=0.31260862692791047, c2=0.010319277168267124 .................
[CV]  c1=0.31260862692791047, c2=0.010319277168267124, score=0.836259 -   1.2s
[CV] c1=0.018536186782325558, c2=0.02263075929404891 .................
[CV]  c1=0.018536186782325558, c2=0.02263075929404891, score=0.784955 -   1.3s
[CV] c1=0.6160678049842869, c2=0.12924436163297714 ...................
[CV]  c1=0.6160678049842869, c2=0.12924436163297714, score=0.699889 -   1.1s
[CV] c1=0.04085576762564351, c2=0.0958455741788717 ...................
[CV]  c1=0.04085576762564351, c2=0.0958455741788717, score=0.887363 -   1.3s
[CV] c1=0.3354359935080303, c2=0.003373779129604103 ..................
[CV]  c1=0.3354359935080303, c2=0.003373779129604103, score=0.777947 -   1.2s
[CV] c1=0.2543687665111658, c2=0.04697805335421305 ...................
[CV]  c1=0.2543687665111658, c2=0.04697805335421305, score=0.769638 -   1.3s
[CV] c1=0.1237166539370316, c2=0.07440702151500453 ...................
[CV]  c1=0.1237166539370316, c2=0.07440702151500453, score=0.770102 -   1.4s
[CV] c1=0.07084143950933679, c2=0.08187005913009054 ..................
[CV]  c1=0.07084143950933679, c2=0.08187005913009054, score=0.787126 -   1.5s
[CV] c1=0.09023846348003213, c2=0.03471153883077873 ..................
[CV]  c1=0.09023846348003213, c2=0.03471153883077873, score=0.784955 -   1.5s
[CV] c1=0.2334330078450294, c2=0.004844332197217237 ..................
[CV]  c1=0.2334330078450294, c2=0.004844332197217237, score=0.792404 -   1.5s
[CV] c1=0.565001497226486, c2=0.05229920916634645 ....................
[CV]  c1=0.565001497226486, c2=0.05229920916634645, score=0.762381 -   1.2s
[CV] c1=0.17712881532502814, c2=0.031239242055470254 .................
[CV]  c1=0.17712881532502814, c2=0.031239242055470254, score=0.845035 -   1.4s
[CV] c1=0.20803955629268447, c2=0.022986600947030478 .................
[CV]  c1=0.20803955629268447, c2=0.022986600947030478, score=0.801576 -   1.4s
[CV] c1=1.257126313727745, c2=0.2600436439822629 .....................
[CV]  c1=1.257126313727745, c2=0.2600436439822629, score=0.582054 -   1.5s
[CV] c1=0.3884388435002558, c2=0.012324462911074925 ..................
[CV]  c1=0.3884388435002558, c2=0.012324462911074925, score=0.845039 -   1.0s
[CV] c1=0.19346715748274185, c2=0.01383851292615958 ..................
[CV]  c1=0.19346715748274185, c2=0.01383851292615958, score=0.842336 -   1.5s
[CV] c1=0.42545712152003395, c2=0.034751574345639004 .................
[CV]  c1=0.42545712152003395, c2=0.034751574345639004, score=0.827702 -   1.3s
[CV] c1=0.019546535601988137, c2=0.01353478418629549 .................
[CV]  c1=0.019546535601988137, c2=0.01353478418629549, score=0.862103 -   1.4s
[CV] c1=1.0854808566706398, c2=0.1481347809230374 ....................
[CV]  c1=1.0854808566706398, c2=0.1481347809230374, score=0.785085 -   1.3s
[CV] c1=0.37295551222296697, c2=0.006157048349395098 .................
[CV]  c1=0.37295551222296697, c2=0.006157048349395098, score=0.738716 -   1.2s
[CV] c1=0.061266770264903674, c2=0.056442897141662556 ................
[CV]  c1=0.061266770264903674, c2=0.056442897141662556, score=0.777601 -   1.2s
[CV] c1=3.0943931689310493, c2=0.0724159334371477 ....................
[CV]  c1=3.0943931689310493, c2=0.0724159334371477, score=0.667061 -   1.4s
[CV] c1=0.26545135326230895, c2=0.01042852832144689 ..................
[CV]  c1=0.26545135326230895, c2=0.01042852832144689, score=0.890948 -   1.4s
[CV] c1=0.5512774553572792, c2=0.04777011343313962 ...................
[CV]  c1=0.5512774553572792, c2=0.04777011343313962, score=0.804033 -   1.3s
[CV] c1=0.17712881532502814, c2=0.031239242055470254 .................
[CV]  c1=0.17712881532502814, c2=0.031239242055470254, score=0.794899 -   1.4s
[CV] c1=0.07325733527880292, c2=0.09274064473984311 ..................
[CV]  c1=0.07325733527880292, c2=0.09274064473984311, score=0.887818 -   1.4s
[CV] c1=0.20355418165897893, c2=0.18966884260526362 ..................
[CV]  c1=0.20355418165897893, c2=0.18966884260526362, score=0.864299 -   1.3s
[CV] c1=0.10320432514151005, c2=0.0073572412581392925 ................
[CV]  c1=0.10320432514151005, c2=0.0073572412581392925, score=0.819616 -   1.1s
[CV] c1=0.6160678049842869, c2=0.12924436163297714 ...................
[CV]  c1=0.6160678049842869, c2=0.12924436163297714, score=0.696824 -   1.1s
[CV] c1=0.19241702388493934, c2=0.003677792778055598 .................
[CV]  c1=0.19241702388493934, c2=0.003677792778055598, score=0.854641 -   1.3s
[CV] c1=0.783315907408944, c2=0.017667026468736625 ...................
[CV]  c1=0.783315907408944, c2=0.017667026468736625, score=0.732715 -   1.5s
[CV] c1=0.015530876592793922, c2=0.002785687387922075 ................
[CV]  c1=0.015530876592793922, c2=0.002785687387922075, score=0.829082 -   1.2s
[CV] c1=0.1237166539370316, c2=0.07440702151500453 ...................
[CV]  c1=0.1237166539370316, c2=0.07440702151500453, score=0.811126 -   1.5s
[CV] c1=0.07084143950933679, c2=0.08187005913009054 ..................
[CV]  c1=0.07084143950933679, c2=0.08187005913009054, score=0.786900 -   1.5s
[CV] c1=1.6382051189559148, c2=0.045575243530064764 ..................
[CV]  c1=1.6382051189559148, c2=0.045575243530064764, score=0.574244 -   1.5s
[CV] c1=0.26545135326230895, c2=0.01042852832144689 ..................
[CV]  c1=0.26545135326230895, c2=0.01042852832144689, score=0.839405 -   1.4s
[CV] c1=0.565001497226486, c2=0.05229920916634645 ....................
[CV]  c1=0.565001497226486, c2=0.05229920916634645, score=0.687365 -   1.5s
[CV] c1=0.7493211317934058, c2=0.02493277530345008 ...................
[CV]  c1=0.7493211317934058, c2=0.02493277530345008, score=0.729984 -   1.2s
[CV] c1=0.07325733527880292, c2=0.09274064473984311 ..................
[CV]  c1=0.07325733527880292, c2=0.09274064473984311, score=0.786900 -   1.4s
[CV] c1=0.09722982561462531, c2=0.018729943641328337 .................
[CV]  c1=0.09722982561462531, c2=0.018729943641328337, score=0.871550 -   1.4s
[CV] c1=0.30703037279468404, c2=0.01195269955095023 ..................
[CV]  c1=0.30703037279468404, c2=0.01195269955095023, score=0.765216 -   0.9s
[CV] c1=0.039744810954933575, c2=0.15601334848767276 .................
[CV]  c1=0.039744810954933575, c2=0.15601334848767276, score=0.871241 -   1.2s
[CV] c1=0.2766868213950029, c2=0.1102967170343421 ....................
[CV]  c1=0.2766868213950029, c2=0.1102967170343421, score=0.762019 -   1.1s
[CV] c1=0.3354359935080303, c2=0.003373779129604103 ..................
[CV]  c1=0.3354359935080303, c2=0.003373779129604103, score=0.887486 -   1.4s
[CV] c1=0.2543687665111658, c2=0.04697805335421305 ...................
[CV]  c1=0.2543687665111658, c2=0.04697805335421305, score=0.809377 -   1.5s
[CV] c1=0.43672310832924577, c2=0.036948739742649846 .................
[CV]  c1=0.43672310832924577, c2=0.036948739742649846, score=0.822151 -   1.4s
[CV] c1=0.035379032628739086, c2=0.05226801090638257 .................
[CV]  c1=0.035379032628739086, c2=0.05226801090638257, score=0.815243 -   1.4s
[CV] c1=0.36213399547973346, c2=0.030028112304232347 .................
[CV]  c1=0.36213399547973346, c2=0.030028112304232347, score=0.872227 -   1.5s
[CV] c1=1.2931800695821685, c2=0.0689537276001304 ....................
[CV]  c1=1.2931800695821685, c2=0.0689537276001304, score=0.583722 -   1.5s
[CV] c1=0.15606482225747093, c2=0.03210875317797263 ..................
[CV]  c1=0.15606482225747093, c2=0.03210875317797263, score=0.784955 -   1.5s
[CV] c1=2.4145137263250054, c2=0.10410168033710097 ...................
[CV]  c1=2.4145137263250054, c2=0.10410168033710097, score=0.505862 -   1.5s
[CV] c1=1.2077093604862716, c2=0.06479602744664702 ...................
[CV]  c1=1.2077093604862716, c2=0.06479602744664702, score=0.642540 -   1.4s
[CV] c1=0.018536186782325558, c2=0.02263075929404891 .................
[CV]  c1=0.018536186782325558, c2=0.02263075929404891, score=0.872282 -   1.3s
[CV] c1=0.19346715748274185, c2=0.01383851292615958 ..................
[CV]  c1=0.19346715748274185, c2=0.01383851292615958, score=0.767938 -   1.1s
[CV] c1=0.04085576762564351, c2=0.0958455741788717 ...................
[CV]  c1=0.04085576762564351, c2=0.0958455741788717, score=0.810378 -   1.4s
[CV] c1=0.3354359935080303, c2=0.003373779129604103 ..................
[CV]  c1=0.3354359935080303, c2=0.003373779129604103, score=0.804695 -   1.4s
[CV] c1=0.281035561673798, c2=0.025276564127118584 ...................
[CV]  c1=0.281035561673798, c2=0.025276564127118584, score=0.786503 -   1.2s
[CV] c1=0.43672310832924577, c2=0.036948739742649846 .................
[CV]  c1=0.43672310832924577, c2=0.036948739742649846, score=0.868092 -   1.4s
[CV] c1=0.2930842471987322, c2=0.0055968816660561275 .................
[CV]  c1=0.2930842471987322, c2=0.0055968816660561275, score=0.793781 -   1.4s
[CV] c1=1.6382051189559148, c2=0.045575243530064764 ..................
[CV]  c1=1.6382051189559148, c2=0.045575243530064764, score=0.733895 -   1.4s
[CV] c1=0.2334330078450294, c2=0.004844332197217237 ..................
[CV]  c1=0.2334330078450294, c2=0.004844332197217237, score=0.853544 -   1.5s
[CV] c1=0.565001497226486, c2=0.05229920916634645 ....................
[CV]  c1=0.565001497226486, c2=0.05229920916634645, score=0.855332 -   1.4s
[CV] c1=0.07482981772576386, c2=0.08277970581224613 ..................
[CV]  c1=0.07482981772576386, c2=0.08277970581224613, score=0.821139 -   1.4s
[CV] c1=0.07325733527880292, c2=0.09274064473984311 ..................
[CV]  c1=0.07325733527880292, c2=0.09274064473984311, score=0.801472 -   1.5s
[CV] c1=0.09722982561462531, c2=0.018729943641328337 .................
[CV]  c1=0.09722982561462531, c2=0.018729943641328337, score=0.778434 -   1.1s
[CV] c1=0.3884388435002558, c2=0.012324462911074925 ..................
[CV]  c1=0.3884388435002558, c2=0.012324462911074925, score=0.774667 -   1.0s
[CV] c1=0.039744810954933575, c2=0.15601334848767276 .................
[CV]  c1=0.039744810954933575, c2=0.15601334848767276, score=0.828217 -   1.5s
[CV] c1=0.45080547782358377, c2=0.027491433844218174 .................
[CV]  c1=0.45080547782358377, c2=0.027491433844218174, score=0.876361 -   1.4s
[CV] c1=0.15143770933989112, c2=0.012131666944343065 .................
[CV]  c1=0.15143770933989112, c2=0.012131666944343065, score=0.801005 -   1.4s
[CV] c1=0.31545478952234374, c2=0.012624156823204065 .................
[CV]  c1=0.31545478952234374, c2=0.012624156823204065, score=0.774667 -   1.1s
[CV] c1=0.37295551222296697, c2=0.006157048349395098 .................
[CV]  c1=0.37295551222296697, c2=0.006157048349395098, score=0.791581 -   1.4s
[CV] c1=0.024540809889874667, c2=0.026391277040087664 ................
[CV]  c1=0.024540809889874667, c2=0.026391277040087664, score=0.851285 -   1.4s
[CV] c1=0.10360398290251113, c2=0.050201546301060364 .................
[CV]  c1=0.10360398290251113, c2=0.050201546301060364, score=0.817258 -   1.3s
[CV] c1=0.33655873861706403, c2=0.023973757235353818 .................
[CV]  c1=0.33655873861706403, c2=0.023973757235353818, score=0.832195 -   1.4s
[CV] c1=0.15606482225747093, c2=0.03210875317797263 ..................
[CV]  c1=0.15606482225747093, c2=0.03210875317797263, score=0.845035 -   1.3s
[CV] c1=0.32601810039391416, c2=0.01864275991258817 ..................
[CV]  c1=0.32601810039391416, c2=0.01864275991258817, score=0.776662 -   1.2s
[CV] c1=0.6189363151343691, c2=0.034630263276739445 ..................
[CV]  c1=0.6189363151343691, c2=0.034630263276739445, score=0.705449 -   1.5s
[CV] c1=0.7850187843833185, c2=0.03506743885198602 ...................
[CV]  c1=0.7850187843833185, c2=0.03506743885198602, score=0.719743 -   1.2s
[CV] c1=0.30703037279468404, c2=0.01195269955095023 ..................
[CV]  c1=0.30703037279468404, c2=0.01195269955095023, score=0.845039 -   0.9s
[CV] c1=0.1435874816052063, c2=0.013637807050645288 ..................
[CV]  c1=0.1435874816052063, c2=0.013637807050645288, score=0.803238 -   1.3s
[CV] c1=0.45080547782358377, c2=0.027491433844218174 .................
[CV]  c1=0.45080547782358377, c2=0.027491433844218174, score=0.781323 -   1.1s
[CV] c1=1.9804069268020148, c2=0.1484539719273407 ....................
[CV]  c1=1.9804069268020148, c2=0.1484539719273407, score=0.632761 -   1.3s
[CV] c1=0.1842691520710151, c2=0.09860592473403354 ...................
[CV]  c1=0.1842691520710151, c2=0.09860592473403354, score=0.794821 -   1.4s
[CV] c1=0.37295551222296697, c2=0.006157048349395098 .................
[CV]  c1=0.37295551222296697, c2=0.006157048349395098, score=0.885256 -   1.4s
[CV] c1=0.024540809889874667, c2=0.026391277040087664 ................
[CV]  c1=0.024540809889874667, c2=0.026391277040087664, score=0.821223 -   1.4s
[CV] c1=0.10360398290251113, c2=0.050201546301060364 .................
[CV]  c1=0.10360398290251113, c2=0.050201546301060364, score=0.786900 -   1.4s
[CV] c1=0.33655873861706403, c2=0.023973757235353818 .................
[CV]  c1=0.33655873861706403, c2=0.023973757235353818, score=0.821811 -   1.4s
[CV] c1=0.11772628907837422, c2=0.012610492617767796 .................
[CV]  c1=0.11772628907837422, c2=0.012610492617767796, score=0.786911 -   1.1s
[CV] c1=0.7493211317934058, c2=0.02493277530345008 ...................
[CV]  c1=0.7493211317934058, c2=0.02493277530345008, score=0.774050 -   1.3s
[CV] c1=0.6189363151343691, c2=0.034630263276739445 ..................
[CV]  c1=0.6189363151343691, c2=0.034630263276739445, score=0.765055 -   1.2s
[CV] c1=0.20355418165897893, c2=0.18966884260526362 ..................
[CV]  c1=0.20355418165897893, c2=0.18966884260526362, score=0.717017 -   1.4s
[CV] c1=0.3884388435002558, c2=0.012324462911074925 ..................
[CV]  c1=0.3884388435002558, c2=0.012324462911074925, score=0.822014 -   1.1s
[CV] c1=0.19346715748274185, c2=0.01383851292615958 ..................
[CV]  c1=0.19346715748274185, c2=0.01383851292615958, score=0.805156 -   1.1s
[CV] c1=0.04085576762564351, c2=0.0958455741788717 ...................
[CV]  c1=0.04085576762564351, c2=0.0958455741788717, score=0.845035 -   1.3s
[CV] c1=0.3354359935080303, c2=0.003373779129604103 ..................
[CV]  c1=0.3354359935080303, c2=0.003373779129604103, score=0.840562 -   1.4s
[CV] c1=0.281035561673798, c2=0.025276564127118584 ...................
[CV]  c1=0.281035561673798, c2=0.025276564127118584, score=0.878930 -   1.4s
[CV] c1=0.7972709432710363, c2=0.1793415439226418 ....................
[CV]  c1=0.7972709432710363, c2=0.1793415439226418, score=0.746497 -   1.4s
[CV] c1=0.035379032628739086, c2=0.05226801090638257 .................
[CV]  c1=0.035379032628739086, c2=0.05226801090638257, score=0.790485 -   1.5s
[CV] c1=0.36213399547973346, c2=0.030028112304232347 .................
[CV]  c1=0.36213399547973346, c2=0.030028112304232347, score=0.836259 -   1.4s
[CV] c1=1.2931800695821685, c2=0.0689537276001304 ....................
[CV]  c1=1.2931800695821685, c2=0.0689537276001304, score=0.638781 -   1.5s
[CV] c1=0.15606482225747093, c2=0.03210875317797263 ..................
[CV]  c1=0.15606482225747093, c2=0.03210875317797263, score=0.798030 -   1.2s
[CV] c1=0.07482981772576386, c2=0.08277970581224613 ..................
[CV]  c1=0.07482981772576386, c2=0.08277970581224613, score=0.786900 -   1.5s
[CV] c1=0.6189363151343691, c2=0.034630263276739445 ..................
[CV]  c1=0.6189363151343691, c2=0.034630263276739445, score=0.797314 -   1.3s
[CV] c1=0.09722982561462531, c2=0.018729943641328337 .................
[CV]  c1=0.09722982561462531, c2=0.018729943641328337, score=0.846167 -   1.4s
[CV] c1=0.30703037279468404, c2=0.01195269955095023 ..................
[CV]  c1=0.30703037279468404, c2=0.01195269955095023, score=0.820318 -   0.9s
[CV] c1=0.9113916885269914, c2=0.07907937121843377 ...................
[CV]  c1=0.9113916885269914, c2=0.07907937121843377, score=0.840828 -   1.4s
[CV] c1=0.11793884636792755, c2=0.09882481465368374 ..................
[CV]  c1=0.11793884636792755, c2=0.09882481465368374, score=0.782738 -   1.1s
[CV] c1=1.9804069268020148, c2=0.1484539719273407 ....................
[CV]  c1=1.9804069268020148, c2=0.1484539719273407, score=0.764468 -   1.4s
[CV] c1=0.1842691520710151, c2=0.09860592473403354 ...................
[CV]  c1=0.1842691520710151, c2=0.09860592473403354, score=0.755328 -   1.4s
[CV] c1=1.078175863434242, c2=0.022077577768474226 ...................
[CV]  c1=1.078175863434242, c2=0.022077577768474226, score=0.668352 -   1.4s
[CV] c1=0.024540809889874667, c2=0.026391277040087664 ................
[CV]  c1=0.024540809889874667, c2=0.026391277040087664, score=0.823554 -   1.4s
[CV] c1=0.41903070371225426, c2=0.15596297039163842 ..................
[CV]  c1=0.41903070371225426, c2=0.15596297039163842, score=0.843353 -   1.4s
[CV] c1=0.6503412897934335, c2=0.008054794565471838 ..................
[CV]  c1=0.6503412897934335, c2=0.008054794565471838, score=0.866255 -   1.4s
[CV] c1=0.11772628907837422, c2=0.012610492617767796 .................
[CV]  c1=0.11772628907837422, c2=0.012610492617767796, score=0.804585 -   1.4s
[CV] c1=0.6660223531817993, c2=0.0234947035812973 ....................
[CV]  c1=0.6660223531817993, c2=0.0234947035812973, score=0.757464 -   1.2s
[CV] c1=1.0683648128902778, c2=0.053338065606079614 ..................
[CV]  c1=1.0683648128902778, c2=0.053338065606079614, score=0.787626 -   1.4s
[CV] c1=0.1463460228274437, c2=0.18980970201563496 ...................
[CV]  c1=0.1463460228274437, c2=0.18980970201563496, score=0.754495 -   1.1s
[CV] c1=0.30703037279468404, c2=0.01195269955095023 ..................
[CV]  c1=0.30703037279468404, c2=0.01195269955095023, score=0.795063 -   1.0s
[CV] c1=0.19346715748274185, c2=0.01383851292615958 ..................
[CV]  c1=0.19346715748274185, c2=0.01383851292615958, score=0.807111 -   1.3s
[CV] c1=0.2766868213950029, c2=0.1102967170343421 ....................
[CV]  c1=0.2766868213950029, c2=0.1102967170343421, score=0.794173 -   1.3s
[CV] c1=0.15421700694778176, c2=0.0573403474663862 ...................
[CV]  c1=0.15421700694778176, c2=0.0573403474663862, score=0.792828 -   1.4s
[CV] c1=0.281035561673798, c2=0.025276564127118584 ...................
[CV]  c1=0.281035561673798, c2=0.025276564127118584, score=0.836259 -   1.3s
[CV] c1=0.7972709432710363, c2=0.1793415439226418 ....................
[CV]  c1=0.7972709432710363, c2=0.1793415439226418, score=0.645690 -   1.2s
[CV] c1=0.2930842471987322, c2=0.0055968816660561275 .................
[CV]  c1=0.2930842471987322, c2=0.0055968816660561275, score=0.792710 -   1.2s
[CV] c1=0.09023846348003213, c2=0.03471153883077873 ..................
[CV]  c1=0.09023846348003213, c2=0.03471153883077873, score=0.809890 -   1.4s
[CV] c1=1.054736325998749, c2=0.0004398541839772652 ..................
[CV]  c1=1.054736325998749, c2=0.0004398541839772652, score=0.689072 -   1.5s
[CV] c1=0.5512774553572792, c2=0.04777011343313962 ...................
[CV]  c1=0.5512774553572792, c2=0.04777011343313962, score=0.774402 -   1.1s
[CV] c1=1.0650916225343814, c2=0.024304209100436007 ..................
[CV]  c1=1.0650916225343814, c2=0.024304209100436007, score=0.699768 -   1.2s
[CV] c1=0.08675005487242365, c2=0.038069607354378976 .................
[CV]  c1=0.08675005487242365, c2=0.038069607354378976, score=0.812705 -   1.5s
[CV] c1=0.31260862692791047, c2=0.010319277168267124 .................
[CV]  c1=0.31260862692791047, c2=0.010319277168267124, score=0.766229 -   1.2s
[CV] c1=0.7747671162099009, c2=0.033226485382932026 ..................
[CV]  c1=0.7747671162099009, c2=0.033226485382932026, score=0.732781 -   1.3s
[CV] c1=0.2934932031434862, c2=0.061992007953382666 ..................
[CV]  c1=0.2934932031434862, c2=0.061992007953382666, score=0.770995 -   1.3s
[CV] c1=0.933313979147858, c2=0.0459302667114278 .....................
[CV]  c1=0.933313979147858, c2=0.0459302667114278, score=0.788714 -   1.3s
[CV] c1=0.3757759950640362, c2=0.0435846420994413 ....................
[CV]  c1=0.3757759950640362, c2=0.0435846420994413, score=0.784514 -   1.2s
[CV] c1=0.7055392966495958, c2=0.03124826614832085 ...................
[CV]  c1=0.7055392966495958, c2=0.03124826614832085, score=0.795136 -   1.4s
[CV] c1=0.05959254934630577, c2=0.058951152180620685 .................
[CV]  c1=0.05959254934630577, c2=0.058951152180620685, score=0.784955 -   1.4s
[CV] c1=0.8044742246447144, c2=0.025984400702258006 ..................
[CV]  c1=0.8044742246447144, c2=0.025984400702258006, score=0.683152 -   1.6s
[CV] c1=0.18753411023519778, c2=0.1064855391998319 ...................
[CV]  c1=0.18753411023519778, c2=0.1064855391998319, score=0.815006 -   1.4s
[CV] c1=0.8188322364716051, c2=0.1718543437608106 ....................
[CV]  c1=0.8188322364716051, c2=0.1718543437608106, score=0.681382 -   1.5s
[CV] c1=1.0650916225343814, c2=0.024304209100436007 ..................
[CV]  c1=1.0650916225343814, c2=0.024304209100436007, score=0.659318 -   1.4s
[CV] c1=1.3917193883177936, c2=0.08354997683926754 ...................
[CV]  c1=1.3917193883177936, c2=0.08354997683926754, score=0.612778 -   1.4s
[CV] c1=0.31260862692791047, c2=0.010319277168267124 .................
[CV]  c1=0.31260862692791047, c2=0.010319277168267124, score=0.813596 -   1.4s
[CV] c1=0.10320432514151005, c2=0.0073572412581392925 ................
[CV]  c1=0.10320432514151005, c2=0.0073572412581392925, score=0.855166 -   1.2s
Training done in: 19.410751s
     Saving training model...
        Saving training model done in: 0.013531s
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Prediction done in: 0.031994s