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

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Run10_v11.txt 72.8 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run10
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: FalseS4: 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: 0.003659s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0      1
0        lemma      :
1       postag      :
2     -1:lemma     in
3    -1:postag     IN
4     +1:lemma     m9
5    +1:postag     NN
6       hUpper  False
7       hLower  False
8       hGreek  False
9         symb  False
10   lemma[:1]      :
11  postag[:1]      :
12      -1:ner      _
13      +1:ner    MED
14      -2:ner      _
15      +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  postag[:1]           N
12   lemma[:2]          de
13  postag[:2]          NN
14      -1:ner           _
15      +1:ner           _
16      -2:ner           _
17      +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.05682674651640754, c2=0.08851208693770606 ..................
[CV]  c1=0.05682674651640754, c2=0.08851208693770606, score=0.825500 -   1.5s
[CV] c1=1.411332946040042, c2=0.1273247917701275 .....................
[CV]  c1=1.411332946040042, c2=0.1273247917701275, score=0.582586 -   1.5s
[CV] c1=0.04961268054316354, c2=0.007874873419735993 .................
[CV]  c1=0.04961268054316354, c2=0.007874873419735993, score=0.757007 -   1.1s
[CV] c1=1.3063133917740424, c2=0.010025180341516652 ..................
[CV]  c1=1.3063133917740424, c2=0.010025180341516652, score=0.623567 -   1.4s
[CV] c1=0.7392399479485341, c2=0.06214666858929342 ...................
[CV]  c1=0.7392399479485341, c2=0.06214666858929342, score=0.725685 -   1.1s
[CV] c1=0.9244525981000439, c2=0.12746219398529918 ...................
[CV]  c1=0.9244525981000439, c2=0.12746219398529918, score=0.779615 -   1.2s
[CV] c1=0.4725913152736086, c2=0.008867502757283924 ..................
[CV]  c1=0.4725913152736086, c2=0.008867502757283924, score=0.827702 -   1.4s
[CV] c1=1.0769850264302006, c2=0.07822337435139845 ...................
[CV]  c1=1.0769850264302006, c2=0.07822337435139845, score=0.808092 -   1.4s
[CV] c1=0.15864823724427848, c2=0.027200529786905604 .................
[CV]  c1=0.15864823724427848, c2=0.027200529786905604, score=0.791253 -   1.4s
[CV] c1=0.0696199283309118, c2=0.043523174724004986 ..................
[CV]  c1=0.0696199283309118, c2=0.043523174724004986, score=0.878032 -   1.3s
[CV] c1=2.387007983558791, c2=0.075158400033333 ......................
[CV]  c1=2.387007983558791, c2=0.075158400033333, score=0.578066 -   1.5s
[CV] c1=0.6658228390324189, c2=0.09063801797567358 ...................
[CV]  c1=0.6658228390324189, c2=0.09063801797567358, score=0.726307 -   1.2s
[CV] c1=0.858462326839907, c2=0.00929361070237744 ....................
[CV]  c1=0.858462326839907, c2=0.00929361070237744, score=0.862899 -   1.2s
[CV] c1=0.39659762834248263, c2=0.08872204503179475 ..................
[CV]  c1=0.39659762834248263, c2=0.08872204503179475, score=0.771704 -   1.1s
[CV] c1=0.6135944260462626, c2=0.031754385080448026 ..................
[CV]  c1=0.6135944260462626, c2=0.031754385080448026, score=0.794506 -   1.5s
[CV] c1=0.5648920780180297, c2=0.008878955729405318 ..................
[CV]  c1=0.5648920780180297, c2=0.008878955729405318, score=0.795651 -   1.7s
[CV] c1=0.27047475861888176, c2=0.005914951469218829 .................
[CV]  c1=0.27047475861888176, c2=0.005914951469218829, score=0.882495 -   1.4s
[CV] c1=0.9244525981000439, c2=0.12746219398529918 ...................
[CV]  c1=0.9244525981000439, c2=0.12746219398529918, score=0.688318 -   1.2s
[CV] c1=0.03031355487696099, c2=0.07873120554783937 ..................
[CV]  c1=0.03031355487696099, c2=0.07873120554783937, score=0.829084 -   1.5s
[CV] c1=0.4188247502080881, c2=0.11976716323205264 ...................
[CV]  c1=0.4188247502080881, c2=0.11976716323205264, score=0.798424 -   1.6s
[CV] c1=0.7562514942964168, c2=0.006966126263501563 ..................
[CV]  c1=0.7562514942964168, c2=0.006966126263501563, score=0.681760 -   1.2s
[CV] c1=0.6648354640232057, c2=0.020928176458224625 ..................
[CV]  c1=0.6648354640232057, c2=0.020928176458224625, score=0.790293 -   1.4s
[CV] c1=2.387007983558791, c2=0.075158400033333 ......................
[CV]  c1=2.387007983558791, c2=0.075158400033333, score=0.615329 -   1.2s
[CV] c1=0.0361349581863884, c2=0.013433789167695775 ..................
[CV]  c1=0.0361349581863884, c2=0.013433789167695775, score=0.818876 -   1.5s
[CV] c1=0.37383286449833614, c2=0.02741954923955503 ..................
[CV]  c1=0.37383286449833614, c2=0.02741954923955503, score=0.791336 -   1.3s
[CV] c1=0.0666954939279595, c2=0.02550939581179078 ...................
[CV]  c1=0.0666954939279595, c2=0.02550939581179078, score=0.847759 -   1.3s
[CV] c1=0.29541567654948864, c2=0.01752397865483039 ..................
[CV]  c1=0.29541567654948864, c2=0.01752397865483039, score=0.785479 -   1.5s
[CV] c1=0.21792963825770337, c2=0.09189008799305548 ..................
[CV]  c1=0.21792963825770337, c2=0.09189008799305548, score=0.778418 -   1.5s
[CV] c1=0.4816140102733797, c2=0.0006751402893101902 .................
[CV]  c1=0.4816140102733797, c2=0.0006751402893101902, score=0.758827 -   1.4s
[CV] c1=0.048650808384291346, c2=0.012305067509364059 ................
[CV]  c1=0.048650808384291346, c2=0.012305067509364059, score=0.779415 -   1.2s
[CV] c1=0.7842023211303244, c2=0.04134682049717714 ...................
[CV]  c1=0.7842023211303244, c2=0.04134682049717714, score=0.724023 -   1.1s
[CV] c1=0.031319043302439585, c2=0.0277267574395905 ..................
[CV]  c1=0.031319043302439585, c2=0.0277267574395905, score=0.823554 -   1.4s
[CV] c1=2.2946945863537573, c2=0.0037147719772174445 .................
[CV]  c1=2.2946945863537573, c2=0.0037147719772174445, score=0.601472 -   1.5s
[CV] c1=0.3600109442395376, c2=0.10171351400936822 ...................
[CV]  c1=0.3600109442395376, c2=0.10171351400936822, score=0.727406 -   1.5s
[CV] c1=1.1604389626817528, c2=0.09066250996599708 ...................
[CV]  c1=1.1604389626817528, c2=0.09066250996599708, score=0.650089 -   1.2s
[CV] c1=0.09188192824186131, c2=0.021602913477872243 .................
[CV]  c1=0.09188192824186131, c2=0.021602913477872243, score=0.887786 -   1.4s
[CV] c1=0.05682674651640754, c2=0.08851208693770606 ..................
[CV]  c1=0.05682674651640754, c2=0.08851208693770606, score=0.803320 -   1.4s
[CV] c1=0.4053953063175935, c2=0.016580828845826474 ..................
[CV]  c1=0.4053953063175935, c2=0.016580828845826474, score=0.813320 -   1.4s
[CV] c1=0.3235175596354521, c2=0.03630941964091648 ...................
[CV]  c1=0.3235175596354521, c2=0.03630941964091648, score=0.840562 -   1.3s
[CV] c1=0.2565724491387019, c2=0.019570325572601754 ..................
[CV]  c1=0.2565724491387019, c2=0.019570325572601754, score=0.766229 -   1.1s
[CV] c1=0.27047475861888176, c2=0.005914951469218829 .................
[CV]  c1=0.27047475861888176, c2=0.005914951469218829, score=0.853544 -   1.3s
[CV] c1=0.9244525981000439, c2=0.12746219398529918 ...................
[CV]  c1=0.9244525981000439, c2=0.12746219398529918, score=0.650250 -   1.5s
[CV] c1=0.20109206778538846, c2=0.016512860092905143 .................
[CV]  c1=0.20109206778538846, c2=0.016512860092905143, score=0.793512 -   1.4s
[CV] c1=0.3035793179211472, c2=0.03705763092223549 ...................
[CV]  c1=0.3035793179211472, c2=0.03705763092223549, score=0.801320 -   1.5s
[CV] c1=0.22706217570197554, c2=0.0028191843001436445 ................
[CV]  c1=0.22706217570197554, c2=0.0028191843001436445, score=0.793162 -   1.5s
[CV] c1=0.08398197606868592, c2=0.09763064210148455 ..................
[CV]  c1=0.08398197606868592, c2=0.09763064210148455, score=0.838486 -   1.4s
[CV] c1=0.21832514169304193, c2=0.0582105339844088 ...................
[CV]  c1=0.21832514169304193, c2=0.0582105339844088, score=0.779537 -   1.2s
[CV] c1=0.41709831451583756, c2=0.05088831772645003 ..................
[CV]  c1=0.41709831451583756, c2=0.05088831772645003, score=0.779299 -   1.2s
[CV] c1=0.858462326839907, c2=0.00929361070237744 ....................
[CV]  c1=0.858462326839907, c2=0.00929361070237744, score=0.684680 -   1.2s
[CV] c1=0.8965791059532499, c2=0.003198697341661949 ..................
[CV]  c1=0.8965791059532499, c2=0.003198697341661949, score=0.728728 -   1.4s
[CV] c1=0.8310403912025112, c2=0.022068018792225273 ..................
[CV]  c1=0.8310403912025112, c2=0.022068018792225273, score=0.802336 -   1.5s
[CV] c1=0.4869928948554284, c2=0.04254215168452462 ...................
[CV]  c1=0.4869928948554284, c2=0.04254215168452462, score=0.737129 -   1.5s
[CV] c1=0.27047475861888176, c2=0.005914951469218829 .................
[CV]  c1=0.27047475861888176, c2=0.005914951469218829, score=0.813987 -   1.4s
[CV] c1=0.6455079537924356, c2=0.0435594479938039 ....................
[CV]  c1=0.6455079537924356, c2=0.0435594479938039, score=0.751743 -   1.5s
[CV] c1=0.5506867994442438, c2=0.12064027482362633 ...................
[CV]  c1=0.5506867994442438, c2=0.12064027482362633, score=0.682472 -   1.3s
[CV] c1=0.8301529888028465, c2=0.020425933370182794 ..................
[CV]  c1=0.8301529888028465, c2=0.020425933370182794, score=0.863609 -   1.4s
[CV] c1=0.22706217570197554, c2=0.0028191843001436445 ................
[CV]  c1=0.22706217570197554, c2=0.0028191843001436445, score=0.880224 -   1.4s
[CV] c1=0.08398197606868592, c2=0.09763064210148455 ..................
[CV]  c1=0.08398197606868592, c2=0.09763064210148455, score=0.881867 -   1.4s
[CV] c1=0.33543675163345227, c2=0.0928870771541923 ...................
[CV]  c1=0.33543675163345227, c2=0.0928870771541923, score=0.771232 -   1.1s
[CV] c1=0.09188192824186131, c2=0.021602913477872243 .................
[CV]  c1=0.09188192824186131, c2=0.021602913477872243, score=0.780279 -   1.5s
[CV] c1=0.858462326839907, c2=0.00929361070237744 ....................
[CV]  c1=0.858462326839907, c2=0.00929361070237744, score=0.722470 -   1.5s
[CV] c1=0.4053953063175935, c2=0.016580828845826474 ..................
[CV]  c1=0.4053953063175935, c2=0.016580828845826474, score=0.752876 -   1.4s
[CV] c1=0.3235175596354521, c2=0.03630941964091648 ...................
[CV]  c1=0.3235175596354521, c2=0.03630941964091648, score=0.879821 -   1.4s
[CV] c1=0.2565724491387019, c2=0.019570325572601754 ..................
[CV]  c1=0.2565724491387019, c2=0.019570325572601754, score=0.883687 -   1.4s
[CV] c1=0.4816140102733797, c2=0.0006751402893101902 .................
[CV]  c1=0.4816140102733797, c2=0.0006751402893101902, score=0.808636 -   1.4s
[CV] c1=0.048650808384291346, c2=0.012305067509364059 ................
[CV]  c1=0.048650808384291346, c2=0.012305067509364059, score=0.818876 -   1.4s
[CV] c1=1.3243755436285272, c2=0.01034040242234801 ...................
[CV]  c1=1.3243755436285272, c2=0.01034040242234801, score=0.824347 -   1.4s
[CV] c1=0.3721545474298931, c2=0.01077980317265715 ...................
[CV]  c1=0.3721545474298931, c2=0.01077980317265715, score=0.884090 -   1.4s
[CV] c1=0.22706217570197554, c2=0.0028191843001436445 ................
[CV]  c1=0.22706217570197554, c2=0.0028191843001436445, score=0.847773 -   1.3s
[CV] c1=0.08398197606868592, c2=0.09763064210148455 ..................
[CV]  c1=0.08398197606868592, c2=0.09763064210148455, score=0.788979 -   1.2s
[CV] c1=2.387007983558791, c2=0.075158400033333 ......................
[CV]  c1=2.387007983558791, c2=0.075158400033333, score=0.505862 -   1.4s
[CV] c1=0.6658228390324189, c2=0.09063801797567358 ...................
[CV]  c1=0.6658228390324189, c2=0.09063801797567358, score=0.689752 -   1.4s
[CV] c1=0.23808911142819997, c2=0.07069950470428958 ..................
[CV]  c1=0.23808911142819997, c2=0.07069950470428958, score=0.772366 -   1.1s
[CV] c1=0.1761315689669074, c2=0.029298695017003593 ..................
[CV]  c1=0.1761315689669074, c2=0.029298695017003593, score=0.802399 -   1.1s
[CV] c1=0.6135944260462626, c2=0.031754385080448026 ..................
[CV]  c1=0.6135944260462626, c2=0.031754385080448026, score=0.754691 -   1.3s
[CV] c1=0.04961268054316354, c2=0.007874873419735993 .................
[CV]  c1=0.04961268054316354, c2=0.007874873419735993, score=0.797387 -   1.5s
[CV] c1=1.1047470954850855, c2=0.11054739147778658 ...................
[CV]  c1=1.1047470954850855, c2=0.11054739147778658, score=0.637753 -   1.2s
[CV] c1=0.9571677651933888, c2=0.0058554384469203516 .................
[CV]  c1=0.9571677651933888, c2=0.0058554384469203516, score=0.804422 -   1.4s
[CV] c1=0.07174391829030799, c2=0.09812992194884886 ..................
[CV]  c1=0.07174391829030799, c2=0.09812992194884886, score=0.811126 -   1.4s
[CV] c1=1.3243755436285272, c2=0.01034040242234801 ...................
[CV]  c1=1.3243755436285272, c2=0.01034040242234801, score=0.654474 -   1.2s
[CV] c1=0.3035793179211472, c2=0.03705763092223549 ...................
[CV]  c1=0.3035793179211472, c2=0.03705763092223549, score=0.776520 -   1.5s
[CV] c1=0.22706217570197554, c2=0.0028191843001436445 ................
[CV]  c1=0.22706217570197554, c2=0.0028191843001436445, score=0.776502 -   1.2s
[CV] c1=0.0696199283309118, c2=0.043523174724004986 ..................
[CV]  c1=0.0696199283309118, c2=0.043523174724004986, score=0.812705 -   1.4s
[CV] c1=1.1604389626817528, c2=0.09066250996599708 ...................
[CV]  c1=1.1604389626817528, c2=0.09066250996599708, score=0.778949 -   1.3s
[CV] c1=0.6658228390324189, c2=0.09063801797567358 ...................
[CV]  c1=0.6658228390324189, c2=0.09063801797567358, score=0.784590 -   1.4s
[CV] c1=0.26819452534344446, c2=0.10860712779878322 ..................
[CV]  c1=0.26819452534344446, c2=0.10860712779878322, score=0.742562 -   1.5s
[CV] c1=0.0666954939279595, c2=0.02550939581179078 ...................
[CV]  c1=0.0666954939279595, c2=0.02550939581179078, score=0.760287 -   1.2s
[CV] c1=0.8310403912025112, c2=0.022068018792225273 ..................
[CV]  c1=0.8310403912025112, c2=0.022068018792225273, score=0.732715 -   1.5s
[CV] c1=0.21792963825770337, c2=0.09189008799305548 ..................
[CV]  c1=0.21792963825770337, c2=0.09189008799305548, score=0.862819 -   1.4s
[CV] c1=0.03000097145988891, c2=0.024307236275084347 .................
[CV]  c1=0.03000097145988891, c2=0.024307236275084347, score=0.784955 -   1.5s
[CV] c1=0.9244525981000439, c2=0.12746219398529918 ...................
[CV]  c1=0.9244525981000439, c2=0.12746219398529918, score=0.629208 -   1.5s
[CV] c1=0.20109206778538846, c2=0.016512860092905143 .................
[CV]  c1=0.20109206778538846, c2=0.016512860092905143, score=0.853544 -   1.3s
[CV] c1=0.3035793179211472, c2=0.03705763092223549 ...................
[CV]  c1=0.3035793179211472, c2=0.03705763092223549, score=0.781387 -   1.1s
[CV] c1=0.15864823724427848, c2=0.027200529786905604 .................
[CV]  c1=0.15864823724427848, c2=0.027200529786905604, score=0.883688 -   1.4s
[CV] c1=0.3600109442395376, c2=0.10171351400936822 ...................
[CV]  c1=0.3600109442395376, c2=0.10171351400936822, score=0.856761 -   1.5s
[CV] c1=2.387007983558791, c2=0.075158400033333 ......................
[CV]  c1=2.387007983558791, c2=0.075158400033333, score=0.584124 -   1.3s
[CV] c1=0.09188192824186131, c2=0.021602913477872243 .................
[CV]  c1=0.09188192824186131, c2=0.021602913477872243, score=0.816570 -   1.4s
[CV] c1=0.4514058178623741, c2=0.022962111577816694 ..................
[CV]  c1=0.4514058178623741, c2=0.022962111577816694, score=0.863709 -   1.3s
[CV] c1=0.8965791059532499, c2=0.003198697341661949 ..................
[CV]  c1=0.8965791059532499, c2=0.003198697341661949, score=0.696160 -   1.4s
[CV] c1=0.8310403912025112, c2=0.022068018792225273 ..................
[CV]  c1=0.8310403912025112, c2=0.022068018792225273, score=0.726307 -   1.2s
[CV] c1=0.02140849840852002, c2=0.05899736742521913 ..................
[CV]  c1=0.02140849840852002, c2=0.05899736742521913, score=0.790485 -   1.4s
[CV] c1=0.7087230822876824, c2=0.019051633462105942 ..................
[CV]  c1=0.7087230822876824, c2=0.019051633462105942, score=0.700574 -   1.3s
[CV] c1=0.2732815407769952, c2=0.057854858398295884 ..................
[CV]  c1=0.2732815407769952, c2=0.057854858398295884, score=0.838514 -   1.4s
[CV] c1=0.03653889828613648, c2=5.3679930020555785e-05 ...............
[CV]  c1=0.03653889828613648, c2=5.3679930020555785e-05, score=0.788038 -   1.5s
[CV] c1=0.2994667817272137, c2=0.03231611068785536 ...................
[CV]  c1=0.2994667817272137, c2=0.03231611068785536, score=0.810920 -   1.5s
[CV] c1=0.4708352867942507, c2=0.054109034423301616 ..................
[CV]  c1=0.4708352867942507, c2=0.054109034423301616, score=0.816520 -   1.4s
[CV] c1=0.6648354640232057, c2=0.020928176458224625 ..................
[CV]  c1=0.6648354640232057, c2=0.020928176458224625, score=0.869392 -   1.4s
[CV] c1=1.0395979387868084, c2=0.0034295015174953683 .................
[CV]  c1=1.0395979387868084, c2=0.0034295015174953683, score=0.662368 -   1.6s
[CV] c1=0.09188192824186131, c2=0.021602913477872243 .................
[CV]  c1=0.09188192824186131, c2=0.021602913477872243, score=0.849107 -   1.3s
[CV] c1=0.23808911142819997, c2=0.07069950470428958 ..................
[CV]  c1=0.23808911142819997, c2=0.07069950470428958, score=0.864501 -   1.2s
[CV] c1=0.8965791059532499, c2=0.003198697341661949 ..................
[CV]  c1=0.8965791059532499, c2=0.003198697341661949, score=0.803819 -   1.4s
[CV] c1=0.8310403912025112, c2=0.022068018792225273 ..................
[CV]  c1=0.8310403912025112, c2=0.022068018792225273, score=0.856594 -   1.5s
[CV] c1=0.004902934724062163, c2=0.1147569024860526 ..................
[CV]  c1=0.004902934724062163, c2=0.1147569024860526, score=0.848916 -   1.3s
[CV] c1=0.20573275756808979, c2=0.08411769421068419 ..................
[CV]  c1=0.20573275756808979, c2=0.08411769421068419, score=0.874858 -   1.5s
[CV] c1=0.16761898162065364, c2=0.04371203091149396 ..................
[CV]  c1=0.16761898162065364, c2=0.04371203091149396, score=0.848916 -   1.4s
[CV] c1=0.03031355487696099, c2=0.07873120554783937 ..................
[CV]  c1=0.03031355487696099, c2=0.07873120554783937, score=0.848916 -   1.3s
[CV] c1=0.031319043302439585, c2=0.0277267574395905 ..................
[CV]  c1=0.031319043302439585, c2=0.0277267574395905, score=0.843878 -   1.3s
[CV] c1=0.4708352867942507, c2=0.054109034423301616 ..................
[CV]  c1=0.4708352867942507, c2=0.054109034423301616, score=0.775921 -   1.1s
[CV] c1=1.2674358611621939, c2=0.054488463092280476 ..................
[CV]  c1=1.2674358611621939, c2=0.054488463092280476, score=0.677896 -   1.1s
[CV] c1=2.4724470446386073, c2=0.04901066381993113 ...................
[CV]  c1=2.4724470446386073, c2=0.04901066381993113, score=0.575307 -   1.5s
[CV] c1=0.14077043343694762, c2=0.05921653529653394 ..................
[CV]  c1=0.14077043343694762, c2=0.05921653529653394, score=0.761574 -   1.1s
[CV] c1=0.12907555103688098, c2=0.030080807455104188 .................
[CV]  c1=0.12907555103688098, c2=0.030080807455104188, score=0.797200 -   1.1s
[CV] c1=0.24050509078340077, c2=0.047761325535167445 .................
[CV]  c1=0.24050509078340077, c2=0.047761325535167445, score=0.881865 -   1.3s
[CV] c1=1.411332946040042, c2=0.1273247917701275 .....................
[CV]  c1=1.411332946040042, c2=0.1273247917701275, score=0.602467 -   1.2s
[CV] c1=0.539884996805647, c2=0.00493449571652128 ....................
[CV]  c1=0.539884996805647, c2=0.00493449571652128, score=0.872352 -   1.4s
[CV] c1=1.3063133917740424, c2=0.010025180341516652 ..................
[CV]  c1=1.3063133917740424, c2=0.010025180341516652, score=0.813460 -   1.4s
[CV] c1=0.4816140102733797, c2=0.0006751402893101902 .................
[CV]  c1=0.4816140102733797, c2=0.0006751402893101902, score=0.888688 -   1.4s
[CV] c1=0.6455079537924356, c2=0.0435594479938039 ....................
[CV]  c1=0.6455079537924356, c2=0.0435594479938039, score=0.810627 -   1.3s
[CV] c1=0.7842023211303244, c2=0.04134682049717714 ...................
[CV]  c1=0.7842023211303244, c2=0.04134682049717714, score=0.791151 -   1.3s
[CV] c1=1.0769850264302006, c2=0.07822337435139845 ...................
[CV]  c1=1.0769850264302006, c2=0.07822337435139845, score=0.788498 -   1.2s
[CV] c1=2.2946945863537573, c2=0.0037147719772174445 .................
[CV]  c1=2.2946945863537573, c2=0.0037147719772174445, score=0.520310 -   1.4s
[CV] c1=0.3600109442395376, c2=0.10171351400936822 ...................
[CV]  c1=0.3600109442395376, c2=0.10171351400936822, score=0.796428 -   1.4s
[CV] c1=1.1604389626817528, c2=0.09066250996599708 ...................
[CV]  c1=1.1604389626817528, c2=0.09066250996599708, score=0.803067 -   1.4s
[CV] c1=0.6658228390324189, c2=0.09063801797567358 ...................
[CV]  c1=0.6658228390324189, c2=0.09063801797567358, score=0.856234 -   1.4s
[CV] c1=0.4514058178623741, c2=0.022962111577816694 ..................
[CV]  c1=0.4514058178623741, c2=0.022962111577816694, score=0.748362 -   1.2s
[CV] c1=0.1761315689669074, c2=0.029298695017003593 ..................
[CV]  c1=0.1761315689669074, c2=0.029298695017003593, score=0.796511 -   1.4s
[CV] c1=0.6135944260462626, c2=0.031754385080448026 ..................
[CV]  c1=0.6135944260462626, c2=0.031754385080448026, score=0.799406 -   1.5s
[CV] c1=0.5648920780180297, c2=0.008878955729405318 ..................
[CV]  c1=0.5648920780180297, c2=0.008878955729405318, score=0.873325 -   1.4s
[CV] c1=0.7087230822876824, c2=0.019051633462105942 ..................
[CV]  c1=0.7087230822876824, c2=0.019051633462105942, score=0.687365 -   1.6s
[CV] c1=0.16761898162065364, c2=0.04371203091149396 ..................
[CV]  c1=0.16761898162065364, c2=0.04371203091149396, score=0.807111 -   1.6s
[CV] c1=0.7842023211303244, c2=0.04134682049717714 ...................
[CV]  c1=0.7842023211303244, c2=0.04134682049717714, score=0.683152 -   1.4s
[CV] c1=0.3035793179211472, c2=0.03705763092223549 ...................
[CV]  c1=0.3035793179211472, c2=0.03705763092223549, score=0.869827 -   1.5s
[CV] c1=0.7562514942964168, c2=0.006966126263501563 ..................
[CV]  c1=0.7562514942964168, c2=0.006966126263501563, score=0.704758 -   1.5s
[CV] c1=0.08398197606868592, c2=0.09763064210148455 ..................
[CV]  c1=0.08398197606868592, c2=0.09763064210148455, score=0.760547 -   1.6s
[CV] c1=0.21832514169304193, c2=0.0582105339844088 ...................
[CV]  c1=0.21832514169304193, c2=0.0582105339844088, score=0.766072 -   1.5s
[CV] c1=0.22465015330399188, c2=0.04837628392002667 ..................
[CV]  c1=0.22465015330399188, c2=0.04837628392002667, score=0.787112 -   1.0s
[CV] c1=0.15779203690046992, c2=0.0678228332251168 ...................
[CV]  c1=0.15779203690046992, c2=0.0678228332251168, score=0.763202 -   1.4s
[CV] c1=1.2299408845188988, c2=0.03296591884445388 ...................
[CV]  c1=1.2299408845188988, c2=0.03296591884445388, score=0.647672 -   1.4s
[CV] c1=0.04961268054316354, c2=0.007874873419735993 .................
[CV]  c1=0.04961268054316354, c2=0.007874873419735993, score=0.812078 -   1.5s
[CV] c1=1.1047470954850855, c2=0.11054739147778658 ...................
[CV]  c1=1.1047470954850855, c2=0.11054739147778658, score=0.802035 -   1.4s
[CV] c1=0.2732815407769952, c2=0.057854858398295884 ..................
[CV]  c1=0.2732815407769952, c2=0.057854858398295884, score=0.769796 -   1.1s
[CV] c1=0.07174391829030799, c2=0.09812992194884886 ..................
[CV]  c1=0.07174391829030799, c2=0.09812992194884886, score=0.878435 -   1.3s
[CV] c1=0.5506867994442438, c2=0.12064027482362633 ...................
[CV]  c1=0.5506867994442438, c2=0.12064027482362633, score=0.786770 -   1.4s
[CV] c1=0.3721545474298931, c2=0.01077980317265715 ...................
[CV]  c1=0.3721545474298931, c2=0.01077980317265715, score=0.788649 -   1.2s
[CV] c1=0.7562514942964168, c2=0.006966126263501563 ..................
[CV]  c1=0.7562514942964168, c2=0.006966126263501563, score=0.788474 -   1.3s
[CV] c1=0.0696199283309118, c2=0.043523174724004986 ..................
[CV]  c1=0.0696199283309118, c2=0.043523174724004986, score=0.843878 -   1.3s
[CV] c1=1.1604389626817528, c2=0.09066250996599708 ...................
[CV]  c1=1.1604389626817528, c2=0.09066250996599708, score=0.647672 -   1.5s
[CV] c1=0.41709831451583756, c2=0.05088831772645003 ..................
[CV]  c1=0.41709831451583756, c2=0.05088831772645003, score=0.879510 -   1.3s
[CV] c1=0.24050509078340077, c2=0.047761325535167445 .................
[CV]  c1=0.24050509078340077, c2=0.047761325535167445, score=0.774430 -   1.4s
[CV] c1=1.2299408845188988, c2=0.03296591884445388 ...................
[CV]  c1=1.2299408845188988, c2=0.03296591884445388, score=0.811895 -   1.4s
[CV] c1=0.04961268054316354, c2=0.007874873419735993 .................
[CV]  c1=0.04961268054316354, c2=0.007874873419735993, score=0.853986 -   1.3s
[CV] c1=0.14862942001998547, c2=0.011712341868382518 .................
[CV]  c1=0.14862942001998547, c2=0.011712341868382518, score=0.876260 -   1.4s
[CV] c1=0.9571677651933888, c2=0.0058554384469203516 .................
[CV]  c1=0.9571677651933888, c2=0.0058554384469203516, score=0.864945 -   1.3s
[CV] c1=0.048650808384291346, c2=0.012305067509364059 ................
[CV]  c1=0.048650808384291346, c2=0.012305067509364059, score=0.805647 -   1.4s
[CV] c1=1.3243755436285272, c2=0.01034040242234801 ...................
[CV]  c1=1.3243755436285272, c2=0.01034040242234801, score=0.640837 -   1.4s
[CV] c1=0.3721545474298931, c2=0.01077980317265715 ...................
[CV]  c1=0.3721545474298931, c2=0.01077980317265715, score=0.838514 -   1.5s
[CV] c1=0.7372253767561597, c2=0.005453906542984981 ..................
[CV]  c1=0.7372253767561597, c2=0.005453906542984981, score=0.733963 -   1.5s
[CV] c1=2.4724470446386073, c2=0.04901066381993113 ...................
[CV]  c1=2.4724470446386073, c2=0.04901066381993113, score=0.605681 -   1.2s
[CV] c1=0.33543675163345227, c2=0.0928870771541923 ...................
[CV]  c1=0.33543675163345227, c2=0.0928870771541923, score=0.790996 -   1.3s
[CV] c1=0.41709831451583756, c2=0.05088831772645003 ..................
[CV]  c1=0.41709831451583756, c2=0.05088831772645003, score=0.784071 -   1.3s
[CV] c1=0.24050509078340077, c2=0.047761325535167445 .................
[CV]  c1=0.24050509078340077, c2=0.047761325535167445, score=0.790650 -   1.1s
[CV] c1=0.4053953063175935, c2=0.016580828845826474 ..................
[CV]  c1=0.4053953063175935, c2=0.016580828845826474, score=0.771939 -   1.2s
[CV] c1=1.0142400382615502, c2=0.03721605158342123 ...................
[CV]  c1=1.0142400382615502, c2=0.03721605158342123, score=0.792917 -   1.3s
[CV] c1=0.004902934724062163, c2=0.1147569024860526 ..................
[CV]  c1=0.004902934724062163, c2=0.1147569024860526, score=0.829084 -   1.4s
[CV] c1=0.03000097145988891, c2=0.024307236275084347 .................
[CV]  c1=0.03000097145988891, c2=0.024307236275084347, score=0.883883 -   1.3s
[CV] c1=0.6194520155606753, c2=0.0031439637516777956 .................
[CV]  c1=0.6194520155606753, c2=0.0031439637516777956, score=0.794506 -   1.4s
[CV] c1=0.03031355487696099, c2=0.07873120554783937 ..................
[CV]  c1=0.03031355487696099, c2=0.07873120554783937, score=0.716877 -   1.1s
[CV] c1=0.2994667817272137, c2=0.03231611068785536 ...................
[CV]  c1=0.2994667817272137, c2=0.03231611068785536, score=0.776395 -   1.1s
[CV] c1=0.17292519952358368, c2=0.010302608884905336 .................
[CV]  c1=0.17292519952358368, c2=0.010302608884905336, score=0.806835 -   1.4s
[CV] c1=0.3273769572556487, c2=0.014736197961438553 ..................
[CV]  c1=0.3273769572556487, c2=0.014736197961438553, score=0.838514 -   1.3s
[CV] c1=2.4724470446386073, c2=0.04901066381993113 ...................
[CV]  c1=2.4724470446386073, c2=0.04901066381993113, score=0.770298 -   1.4s
[CV] c1=0.059277122425333874, c2=0.03845107061367487 .................
[CV]  c1=0.059277122425333874, c2=0.03845107061367487, score=0.815907 -   1.4s
[CV] c1=0.05294258061521876, c2=0.0008280294410931326 ................
[CV]  c1=0.05294258061521876, c2=0.0008280294410931326, score=0.767559 -   1.0s
[CV] c1=0.15779203690046992, c2=0.0678228332251168 ...................
[CV]  c1=0.15779203690046992, c2=0.0678228332251168, score=0.845035 -   1.4s
[CV] c1=1.2299408845188988, c2=0.03296591884445388 ...................
[CV]  c1=1.2299408845188988, c2=0.03296591884445388, score=0.787626 -   1.4s
[CV] c1=0.04961268054316354, c2=0.007874873419735993 .................
[CV]  c1=0.04961268054316354, c2=0.007874873419735993, score=0.854181 -   1.3s
[CV] c1=0.14862942001998547, c2=0.011712341868382518 .................
[CV]  c1=0.14862942001998547, c2=0.011712341868382518, score=0.853544 -   1.3s
[CV] c1=0.9571677651933888, c2=0.0058554384469203516 .................
[CV]  c1=0.9571677651933888, c2=0.0058554384469203516, score=0.676250 -   1.5s
[CV] c1=0.07174391829030799, c2=0.09812992194884886 ..................
[CV]  c1=0.07174391829030799, c2=0.09812992194884886, score=0.786900 -   1.4s
[CV] c1=0.4633326451447968, c2=0.04428903524850875 ...................
[CV]  c1=0.4633326451447968, c2=0.04428903524850875, score=0.780182 -   1.3s
[CV] c1=0.3721545474298931, c2=0.01077980317265715 ...................
[CV]  c1=0.3721545474298931, c2=0.01077980317265715, score=0.807604 -   1.5s
[CV] c1=0.3273769572556487, c2=0.014736197961438553 ..................
[CV]  c1=0.3273769572556487, c2=0.014736197961438553, score=0.888701 -   1.4s
[CV] c1=2.4724470446386073, c2=0.04901066381993113 ...................
[CV]  c1=2.4724470446386073, c2=0.04901066381993113, score=0.584124 -   1.4s
[CV] c1=0.059277122425333874, c2=0.03845107061367487 .................
[CV]  c1=0.059277122425333874, c2=0.03845107061367487, score=0.758881 -   1.1s
[CV] c1=0.12907555103688098, c2=0.030080807455104188 .................
[CV]  c1=0.12907555103688098, c2=0.030080807455104188, score=0.881455 -   1.3s
[CV] c1=0.15779203690046992, c2=0.0678228332251168 ...................
[CV]  c1=0.15779203690046992, c2=0.0678228332251168, score=0.817859 -   1.4s
[CV] c1=1.2299408845188988, c2=0.03296591884445388 ...................
[CV]  c1=1.2299408845188988, c2=0.03296591884445388, score=0.637224 -   1.4s
[CV] c1=0.02140849840852002, c2=0.05899736742521913 ..................
[CV]  c1=0.02140849840852002, c2=0.05899736742521913, score=0.872357 -   1.4s
[CV] c1=0.14862942001998547, c2=0.011712341868382518 .................
[CV]  c1=0.14862942001998547, c2=0.011712341868382518, score=0.806365 -   1.4s
[CV] c1=0.2732815407769952, c2=0.057854858398295884 ..................
[CV]  c1=0.2732815407769952, c2=0.057854858398295884, score=0.880930 -   1.4s
[CV] c1=0.03653889828613648, c2=5.3679930020555785e-05 ...............
[CV]  c1=0.03653889828613648, c2=5.3679930020555785e-05, score=0.878966 -   1.4s
[CV] c1=0.4633326451447968, c2=0.04428903524850875 ...................
[CV]  c1=0.4633326451447968, c2=0.04428903524850875, score=0.878682 -   1.4s
[CV] c1=0.17292519952358368, c2=0.010302608884905336 .................
[CV]  c1=0.17292519952358368, c2=0.010302608884905336, score=0.881620 -   1.4s
[CV] c1=0.3273769572556487, c2=0.014736197961438553 ..................
[CV]  c1=0.3273769572556487, c2=0.014736197961438553, score=0.736507 -   1.3s
[CV] c1=0.5430967154706999, c2=0.025427694128842094 ..................
[CV]  c1=0.5430967154706999, c2=0.025427694128842094, score=0.874521 -   1.4s
[CV] c1=0.33543675163345227, c2=0.0928870771541923 ...................
[CV]  c1=0.33543675163345227, c2=0.0928870771541923, score=0.763223 -   1.4s
[CV] c1=0.12907555103688098, c2=0.030080807455104188 .................
[CV]  c1=0.12907555103688098, c2=0.030080807455104188, score=0.835629 -   1.3s
[CV] c1=0.4514058178623741, c2=0.022962111577816694 ..................
[CV]  c1=0.4514058178623741, c2=0.022962111577816694, score=0.813423 -   1.2s
[CV] c1=0.8965791059532499, c2=0.003198697341661949 ..................
[CV]  c1=0.8965791059532499, c2=0.003198697341661949, score=0.854942 -   1.4s
[CV] c1=0.25252595015995505, c2=0.05901496116373905 ..................
[CV]  c1=0.25252595015995505, c2=0.05901496116373905, score=0.778418 -   1.4s
[CV] c1=0.004902934724062163, c2=0.1147569024860526 ..................
[CV]  c1=0.004902934724062163, c2=0.1147569024860526, score=0.888100 -   1.4s
[CV] c1=0.7087230822876824, c2=0.019051633462105942 ..................
[CV]  c1=0.7087230822876824, c2=0.019051633462105942, score=0.784124 -   1.5s
[CV] c1=0.46975532940232384, c2=0.05524763545518096 ..................
[CV]  c1=0.46975532940232384, c2=0.05524763545518096, score=0.714320 -   1.6s
[CV] c1=0.7842023211303244, c2=0.04134682049717714 ...................
[CV]  c1=0.7842023211303244, c2=0.04134682049717714, score=0.737669 -   1.5s
[CV] c1=0.8301529888028465, c2=0.020425933370182794 ..................
[CV]  c1=0.8301529888028465, c2=0.020425933370182794, score=0.679073 -   1.5s
[CV] c1=0.7372253767561597, c2=0.005453906542984981 ..................
[CV]  c1=0.7372253767561597, c2=0.005453906542984981, score=0.869392 -   1.4s
[CV] c1=0.5430967154706999, c2=0.025427694128842094 ..................
[CV]  c1=0.5430967154706999, c2=0.025427694128842094, score=0.780254 -   1.4s
[CV] c1=0.21832514169304193, c2=0.0582105339844088 ...................
[CV]  c1=0.21832514169304193, c2=0.0582105339844088, score=0.875028 -   1.4s
[CV] c1=0.12907555103688098, c2=0.030080807455104188 .................
[CV]  c1=0.12907555103688098, c2=0.030080807455104188, score=0.810414 -   1.3s
[CV] c1=0.4514058178623741, c2=0.022962111577816694 ..................
[CV]  c1=0.4514058178623741, c2=0.022962111577816694, score=0.776395 -   0.8s
[CV] c1=0.1761315689669074, c2=0.029298695017003593 ..................
[CV]  c1=0.1761315689669074, c2=0.029298695017003593, score=0.891334 -   1.5s
[CV] c1=0.6135944260462626, c2=0.031754385080448026 ..................
[CV]  c1=0.6135944260462626, c2=0.031754385080448026, score=0.859025 -   1.5s
[CV] c1=0.02140849840852002, c2=0.05899736742521913 ..................
[CV]  c1=0.02140849840852002, c2=0.05899736742521913, score=0.742369 -   1.2s
[CV] c1=0.14862942001998547, c2=0.011712341868382518 .................
[CV]  c1=0.14862942001998547, c2=0.011712341868382518, score=0.804544 -   1.5s
[CV] c1=0.9571677651933888, c2=0.0058554384469203516 .................
[CV]  c1=0.9571677651933888, c2=0.0058554384469203516, score=0.748905 -   1.5s
[CV] c1=0.03653889828613648, c2=5.3679930020555785e-05 ...............
[CV]  c1=0.03653889828613648, c2=5.3679930020555785e-05, score=0.786566 -   1.2s
[CV] c1=1.3243755436285272, c2=0.01034040242234801 ...................
[CV]  c1=1.3243755436285272, c2=0.01034040242234801, score=0.619444 -   1.6s
[CV] c1=0.17292519952358368, c2=0.010302608884905336 .................
[CV]  c1=0.17292519952358368, c2=0.010302608884905336, score=0.779808 -   1.2s
[CV] c1=0.7372253767561597, c2=0.005453906542984981 ..................
[CV]  c1=0.7372253767561597, c2=0.005453906542984981, score=0.733551 -   1.1s
[CV] c1=0.0696199283309118, c2=0.043523174724004986 ..................
[CV]  c1=0.0696199283309118, c2=0.043523174724004986, score=0.815294 -   1.5s
[CV] c1=0.33543675163345227, c2=0.0928870771541923 ...................
[CV]  c1=0.33543675163345227, c2=0.0928870771541923, score=0.862588 -   1.4s
[CV] c1=0.41709831451583756, c2=0.05088831772645003 ..................
[CV]  c1=0.41709831451583756, c2=0.05088831772645003, score=0.749770 -   1.4s
[CV] c1=0.26819452534344446, c2=0.10860712779878322 ..................
[CV]  c1=0.26819452534344446, c2=0.10860712779878322, score=0.789445 -   1.4s
[CV] c1=1.2126874307846516, c2=0.03393667494729436 ...................
[CV]  c1=1.2126874307846516, c2=0.03393667494729436, score=0.782155 -   1.3s
[CV] c1=1.0142400382615502, c2=0.03721605158342123 ...................
[CV]  c1=1.0142400382615502, c2=0.03721605158342123, score=0.696617 -   1.5s
[CV] c1=0.21792963825770337, c2=0.09189008799305548 ..................
[CV]  c1=0.21792963825770337, c2=0.09189008799305548, score=0.809798 -   1.3s
[CV] c1=0.27047475861888176, c2=0.005914951469218829 .................
[CV]  c1=0.27047475861888176, c2=0.005914951469218829, score=0.776948 -   1.4s
[CV] c1=0.6455079537924356, c2=0.0435594479938039 ....................
[CV]  c1=0.6455079537924356, c2=0.0435594479938039, score=0.755521 -   1.1s
[CV] c1=0.4725913152736086, c2=0.008867502757283924 ..................
[CV]  c1=0.4725913152736086, c2=0.008867502757283924, score=0.744349 -   1.3s
[CV] c1=0.4188247502080881, c2=0.11976716323205264 ...................
[CV]  c1=0.4188247502080881, c2=0.11976716323205264, score=0.693566 -   1.4s
[CV] c1=0.15864823724427848, c2=0.027200529786905604 .................
[CV]  c1=0.15864823724427848, c2=0.027200529786905604, score=0.783126 -   1.1s
[CV] c1=0.17313301879308254, c2=0.07327640164867598 ..................
[CV]  c1=0.17313301879308254, c2=0.07327640164867598, score=0.767024 -   1.0s
[CV] c1=2.4724470446386073, c2=0.04901066381993113 ...................
[CV]  c1=2.4724470446386073, c2=0.04901066381993113, score=0.505862 -   1.4s
[CV] c1=0.14077043343694762, c2=0.05921653529653394 ..................
[CV]  c1=0.14077043343694762, c2=0.05921653529653394, score=0.879633 -   1.2s
[CV] c1=0.12907555103688098, c2=0.030080807455104188 .................
[CV]  c1=0.12907555103688098, c2=0.030080807455104188, score=0.805647 -   1.2s
[CV] c1=0.858462326839907, c2=0.00929361070237744 ....................
[CV]  c1=0.858462326839907, c2=0.00929361070237744, score=0.790219 -   1.4s
[CV] c1=0.0666954939279595, c2=0.02550939581179078 ...................
[CV]  c1=0.0666954939279595, c2=0.02550939581179078, score=0.871827 -   1.2s
[CV] c1=1.0142400382615502, c2=0.03721605158342123 ...................
[CV]  c1=1.0142400382615502, c2=0.03721605158342123, score=0.846924 -   1.4s
[CV] c1=0.4869928948554284, c2=0.04254215168452462 ...................
[CV]  c1=0.4869928948554284, c2=0.04254215168452462, score=0.817681 -   1.3s
[CV] c1=0.20573275756808979, c2=0.08411769421068419 ..................
[CV]  c1=0.20573275756808979, c2=0.08411769421068419, score=0.819601 -   1.3s
[CV] c1=0.16761898162065364, c2=0.04371203091149396 ..................
[CV]  c1=0.16761898162065364, c2=0.04371203091149396, score=0.799726 -   1.1s
[CV] c1=1.258369282292605, c2=0.016760456329770867 ...................
[CV]  c1=1.258369282292605, c2=0.016760456329770867, score=0.824467 -   1.3s
[CV] c1=0.2994667817272137, c2=0.03231611068785536 ...................
[CV]  c1=0.2994667817272137, c2=0.03231611068785536, score=0.873925 -   1.5s
[CV] c1=0.20556867897734576, c2=0.03371164721828054 ..................
[CV]  c1=0.20556867897734576, c2=0.03371164721828054, score=0.781019 -   1.1s
[CV] c1=0.3273769572556487, c2=0.014736197961438553 ..................
[CV]  c1=0.3273769572556487, c2=0.014736197961438553, score=0.767665 -   1.4s
[CV] c1=0.5306715974512166, c2=0.005872443165827392 ..................
[CV]  c1=0.5306715974512166, c2=0.005872443165827392, score=0.878682 -   1.3s
[CV] c1=0.059277122425333874, c2=0.03845107061367487 .................
[CV]  c1=0.059277122425333874, c2=0.03845107061367487, score=0.883723 -   1.4s
[CV] c1=0.22465015330399188, c2=0.04837628392002667 ..................
[CV]  c1=0.22465015330399188, c2=0.04837628392002667, score=0.788332 -   1.2s
[CV] c1=0.26819452534344446, c2=0.10860712779878322 ..................
[CV]  c1=0.26819452534344446, c2=0.10860712779878322, score=0.866140 -   1.4s
[CV] c1=0.39659762834248263, c2=0.08872204503179475 ..................
[CV]  c1=0.39659762834248263, c2=0.08872204503179475, score=0.771859 -   1.5s
[CV] c1=0.29541567654948864, c2=0.01752397865483039 ..................
[CV]  c1=0.29541567654948864, c2=0.01752397865483039, score=0.890948 -   1.2s
[CV] c1=0.4869928948554284, c2=0.04254215168452462 ...................
[CV]  c1=0.4869928948554284, c2=0.04254215168452462, score=0.883205 -   1.4s
[CV] c1=0.03000097145988891, c2=0.024307236275084347 .................
[CV]  c1=0.03000097145988891, c2=0.024307236275084347, score=0.845035 -   1.4s
[CV] c1=0.9244525981000439, c2=0.12746219398529918 ...................
[CV]  c1=0.9244525981000439, c2=0.12746219398529918, score=0.814078 -   1.3s
[CV] c1=0.4725913152736086, c2=0.008867502757283924 ..................
[CV]  c1=0.4725913152736086, c2=0.008867502757283924, score=0.806408 -   1.5s
[CV] c1=1.0769850264302006, c2=0.07822337435139845 ...................
[CV]  c1=1.0769850264302006, c2=0.07822337435139845, score=0.596399 -   1.4s
[CV] c1=0.15864823724427848, c2=0.027200529786905604 .................
[CV]  c1=0.15864823724427848, c2=0.027200529786905604, score=0.851171 -   1.3s
[CV] c1=0.3600109442395376, c2=0.10171351400936822 ...................
[CV]  c1=0.3600109442395376, c2=0.10171351400936822, score=0.771562 -   1.5s
[CV] c1=1.1604389626817528, c2=0.09066250996599708 ...................
[CV]  c1=1.1604389626817528, c2=0.09066250996599708, score=0.595246 -   1.4s
[CV] c1=0.6658228390324189, c2=0.09063801797567358 ...................
[CV]  c1=0.6658228390324189, c2=0.09063801797567358, score=0.803725 -   1.4s
[CV] c1=0.24050509078340077, c2=0.047761325535167445 .................
[CV]  c1=0.24050509078340077, c2=0.047761325535167445, score=0.815006 -   1.4s
[CV] c1=1.411332946040042, c2=0.1273247917701275 .....................
[CV]  c1=1.411332946040042, c2=0.1273247917701275, score=0.738885 -   1.3s
[CV] c1=0.3235175596354521, c2=0.03630941964091648 ...................
[CV]  c1=0.3235175596354521, c2=0.03630941964091648, score=0.778932 -   1.2s
[CV] c1=1.3063133917740424, c2=0.010025180341516652 ..................
[CV]  c1=1.3063133917740424, c2=0.010025180341516652, score=0.691897 -   1.2s
[CV] c1=0.03000097145988891, c2=0.024307236275084347 .................
[CV]  c1=0.03000097145988891, c2=0.024307236275084347, score=0.810700 -   1.4s
[CV] c1=0.46975532940232384, c2=0.05524763545518096 ..................
[CV]  c1=0.46975532940232384, c2=0.05524763545518096, score=0.781041 -   1.5s
[CV] c1=0.20109206778538846, c2=0.016512860092905143 .................
[CV]  c1=0.20109206778538846, c2=0.016512860092905143, score=0.872688 -   1.4s
[CV] c1=0.3035793179211472, c2=0.03705763092223549 ...................
[CV]  c1=0.3035793179211472, c2=0.03705763092223549, score=0.842784 -   1.4s
[CV] c1=0.7562514942964168, c2=0.006966126263501563 ..................
[CV]  c1=0.7562514942964168, c2=0.006966126263501563, score=0.727818 -   1.5s
[CV] c1=0.08398197606868592, c2=0.09763064210148455 ..................
[CV]  c1=0.08398197606868592, c2=0.09763064210148455, score=0.845035 -   1.4s
[CV] c1=0.33543675163345227, c2=0.0928870771541923 ...................
[CV]  c1=0.33543675163345227, c2=0.0928870771541923, score=0.743279 -   1.4s
[CV] c1=0.41709831451583756, c2=0.05088831772645003 ..................
[CV]  c1=0.41709831451583756, c2=0.05088831772645003, score=0.804837 -   1.3s
[CV] c1=0.37383286449833614, c2=0.02741954923955503 ..................
[CV]  c1=0.37383286449833614, c2=0.02741954923955503, score=0.840562 -   1.3s
[CV] c1=1.2126874307846516, c2=0.03393667494729436 ...................
[CV]  c1=1.2126874307846516, c2=0.03393667494729436, score=0.638578 -   1.4s
[CV] c1=0.29541567654948864, c2=0.01752397865483039 ..................
[CV]  c1=0.29541567654948864, c2=0.01752397865483039, score=0.838514 -   1.4s
[CV] c1=0.21792963825770337, c2=0.09189008799305548 ..................
[CV]  c1=0.21792963825770337, c2=0.09189008799305548, score=0.762592 -   1.5s
[CV] c1=0.4816140102733797, c2=0.0006751402893101902 .................
[CV]  c1=0.4816140102733797, c2=0.0006751402893101902, score=0.736395 -   1.1s
[CV] c1=0.46975532940232384, c2=0.05524763545518096 ..................
[CV]  c1=0.46975532940232384, c2=0.05524763545518096, score=0.806868 -   1.4s
[CV] c1=0.7842023211303244, c2=0.04134682049717714 ...................
[CV]  c1=0.7842023211303244, c2=0.04134682049717714, score=0.862899 -   1.4s
[CV] c1=1.0769850264302006, c2=0.07822337435139845 ...................
[CV]  c1=1.0769850264302006, c2=0.07822337435139845, score=0.628127 -   1.1s
[CV] c1=2.2946945863537573, c2=0.0037147719772174445 .................
[CV]  c1=2.2946945863537573, c2=0.0037147719772174445, score=0.571237 -   1.1s
[CV] c1=0.17313301879308254, c2=0.07327640164867598 ..................
[CV]  c1=0.17313301879308254, c2=0.07327640164867598, score=0.877361 -   1.3s
[CV] c1=0.1090550110973739, c2=0.22035544651360328 ...................
[CV]  c1=0.1090550110973739, c2=0.22035544651360328, score=0.867649 -   1.4s
[CV] c1=2.5992053569900397, c2=0.0002277480648157478 .................
[CV]  c1=2.5992053569900397, c2=0.0002277480648157478, score=0.770298 -   1.4s
[CV] c1=0.010465875252095174, c2=0.007629920691847446 ................
[CV]  c1=0.010465875252095174, c2=0.007629920691847446, score=0.833902 -   1.0s
[CV] c1=0.15779203690046992, c2=0.0678228332251168 ...................
[CV]  c1=0.15779203690046992, c2=0.0678228332251168, score=0.775841 -   1.2s
[CV] c1=1.411332946040042, c2=0.1273247917701275 .....................
[CV]  c1=1.411332946040042, c2=0.1273247917701275, score=0.772067 -   1.4s
[CV] c1=0.3235175596354521, c2=0.03630941964091648 ...................
[CV]  c1=0.3235175596354521, c2=0.03630941964091648, score=0.749440 -   1.4s
[CV] c1=0.2565724491387019, c2=0.019570325572601754 ..................
[CV]  c1=0.2565724491387019, c2=0.019570325572601754, score=0.841329 -   1.4s
[CV] c1=0.7392399479485341, c2=0.06214666858929342 ...................
[CV]  c1=0.7392399479485341, c2=0.06214666858929342, score=0.778448 -   1.4s
[CV] c1=0.048650808384291346, c2=0.012305067509364059 ................
[CV]  c1=0.048650808384291346, c2=0.012305067509364059, score=0.855696 -   1.3s
[CV] c1=0.5506867994442438, c2=0.12064027482362633 ...................
[CV]  c1=0.5506867994442438, c2=0.12064027482362633, score=0.776106 -   1.4s
[CV] c1=0.8301529888028465, c2=0.020425933370182794 ..................
[CV]  c1=0.8301529888028465, c2=0.020425933370182794, score=0.794300 -   1.5s
[CV] c1=0.22706217570197554, c2=0.0028191843001436445 ................
[CV]  c1=0.22706217570197554, c2=0.0028191843001436445, score=0.800112 -   1.5s
[CV] c1=0.5430967154706999, c2=0.025427694128842094 ..................
[CV]  c1=0.5430967154706999, c2=0.025427694128842094, score=0.802745 -   1.5s
[CV] c1=0.21832514169304193, c2=0.0582105339844088 ...................
[CV]  c1=0.21832514169304193, c2=0.0582105339844088, score=0.810920 -   1.5s
[CV] c1=0.22465015330399188, c2=0.04837628392002667 ..................
[CV]  c1=0.22465015330399188, c2=0.04837628392002667, score=0.838514 -   1.1s
[CV] c1=0.37383286449833614, c2=0.02741954923955503 ..................
[CV]  c1=0.37383286449833614, c2=0.02741954923955503, score=0.755956 -   1.3s
[CV] c1=0.0666954939279595, c2=0.02550939581179078 ...................
[CV]  c1=0.0666954939279595, c2=0.02550939581179078, score=0.821223 -   1.4s
[CV] c1=0.29541567654948864, c2=0.01752397865483039 ..................
[CV]  c1=0.29541567654948864, c2=0.01752397865483039, score=0.796334 -   1.5s
[CV] c1=1.3063133917740424, c2=0.010025180341516652 ..................
[CV]  c1=1.3063133917740424, c2=0.010025180341516652, score=0.778241 -   1.5s
[CV] c1=0.7392399479485341, c2=0.06214666858929342 ...................
[CV]  c1=0.7392399479485341, c2=0.06214666858929342, score=0.696376 -   1.5s
[CV] c1=0.07174391829030799, c2=0.09812992194884886 ..................
[CV]  c1=0.07174391829030799, c2=0.09812992194884886, score=0.782738 -   1.2s
[CV] c1=0.20109206778538846, c2=0.016512860092905143 .................
[CV]  c1=0.20109206778538846, c2=0.016512860092905143, score=0.811787 -   1.5s
[CV] c1=0.8301529888028465, c2=0.020425933370182794 ..................
[CV]  c1=0.8301529888028465, c2=0.020425933370182794, score=0.727818 -   1.5s
[CV] c1=0.7372253767561597, c2=0.005453906542984981 ..................
[CV]  c1=0.7372253767561597, c2=0.005453906542984981, score=0.702337 -   1.4s
[CV] c1=0.5430967154706999, c2=0.025427694128842094 ..................
[CV]  c1=0.5430967154706999, c2=0.025427694128842094, score=0.802927 -   1.5s
[CV] c1=0.059277122425333874, c2=0.03845107061367487 .................
[CV]  c1=0.059277122425333874, c2=0.03845107061367487, score=0.795507 -   1.3s
[CV] c1=0.22465015330399188, c2=0.04837628392002667 ..................
[CV]  c1=0.22465015330399188, c2=0.04837628392002667, score=0.881865 -   1.3s
[CV] c1=0.24050509078340077, c2=0.047761325535167445 .................
[CV]  c1=0.24050509078340077, c2=0.047761325535167445, score=0.794272 -   1.4s
[CV] c1=1.2299408845188988, c2=0.03296591884445388 ...................
[CV]  c1=1.2299408845188988, c2=0.03296591884445388, score=0.672556 -   1.1s
[CV] c1=0.539884996805647, c2=0.00493449571652128 ....................
[CV]  c1=0.539884996805647, c2=0.00493449571652128, score=0.807401 -   1.5s
[CV] c1=0.2565724491387019, c2=0.019570325572601754 ..................
[CV]  c1=0.2565724491387019, c2=0.019570325572601754, score=0.779413 -   1.4s
[CV] c1=0.7392399479485341, c2=0.06214666858929342 ...................
[CV]  c1=0.7392399479485341, c2=0.06214666858929342, score=0.746371 -   1.4s
[CV] c1=0.07174391829030799, c2=0.09812992194884886 ..................
[CV]  c1=0.07174391829030799, c2=0.09812992194884886, score=0.767025 -   1.4s
[CV] c1=1.3243755436285272, c2=0.01034040242234801 ...................
[CV]  c1=1.3243755436285272, c2=0.01034040242234801, score=0.785608 -   1.3s
[CV] c1=0.3721545474298931, c2=0.01077980317265715 ...................
[CV]  c1=0.3721545474298931, c2=0.01077980317265715, score=0.788720 -   1.4s
[CV] c1=0.7372253767561597, c2=0.005453906542984981 ..................
[CV]  c1=0.7372253767561597, c2=0.005453906542984981, score=0.788474 -   1.3s
[CV] c1=0.5430967154706999, c2=0.025427694128842094 ..................
[CV]  c1=0.5430967154706999, c2=0.025427694128842094, score=0.724356 -   1.4s
[CV] c1=0.21832514169304193, c2=0.0582105339844088 ...................
[CV]  c1=0.21832514169304193, c2=0.0582105339844088, score=0.842784 -   1.5s
[CV] c1=0.22465015330399188, c2=0.04837628392002667 ..................
[CV]  c1=0.22465015330399188, c2=0.04837628392002667, score=0.779412 -   1.2s
[CV] c1=0.26819452534344446, c2=0.10860712779878322 ..................
[CV]  c1=0.26819452534344446, c2=0.10860712779878322, score=0.773233 -   1.1s
[CV] c1=0.8965791059532499, c2=0.003198697341661949 ..................
[CV]  c1=0.8965791059532499, c2=0.003198697341661949, score=0.725786 -   1.1s
[CV] c1=0.6135944260462626, c2=0.031754385080448026 ..................
[CV]  c1=0.6135944260462626, c2=0.031754385080448026, score=0.733527 -   1.5s
[CV] c1=0.02140849840852002, c2=0.05899736742521913 ..................
[CV]  c1=0.02140849840852002, c2=0.05899736742521913, score=0.848916 -   1.4s
[CV] c1=1.1047470954850855, c2=0.11054739147778658 ...................
[CV]  c1=1.1047470954850855, c2=0.11054739147778658, score=0.635683 -   1.4s
[CV] c1=0.2732815407769952, c2=0.057854858398295884 ..................
[CV]  c1=0.2732815407769952, c2=0.057854858398295884, score=0.768905 -   1.4s
[CV] c1=0.03653889828613648, c2=5.3679930020555785e-05 ...............
[CV]  c1=0.03653889828613648, c2=5.3679930020555785e-05, score=0.827180 -   1.3s
[CV] c1=0.4633326451447968, c2=0.04428903524850875 ...................
[CV]  c1=0.4633326451447968, c2=0.04428903524850875, score=0.810045 -   1.4s
[CV] c1=0.17292519952358368, c2=0.010302608884905336 .................
[CV]  c1=0.17292519952358368, c2=0.010302608884905336, score=0.851171 -   1.4s
[CV] c1=0.3273769572556487, c2=0.014736197961438553 ..................
[CV]  c1=0.3273769572556487, c2=0.014736197961438553, score=0.779861 -   1.4s
[CV] c1=0.5306715974512166, c2=0.005872443165827392 ..................
[CV]  c1=0.5306715974512166, c2=0.005872443165827392, score=0.699571 -   1.3s
[CV] c1=0.059277122425333874, c2=0.03845107061367487 .................
[CV]  c1=0.059277122425333874, c2=0.03845107061367487, score=0.784955 -   1.4s
[CV] c1=0.05294258061521876, c2=0.0008280294410931326 ................
[CV]  c1=0.05294258061521876, c2=0.0008280294410931326, score=0.831982 -   1.1s
[CV] c1=0.23808911142819997, c2=0.07069950470428958 ..................
[CV]  c1=0.23808911142819997, c2=0.07069950470428958, score=0.761194 -   1.4s
[CV] c1=0.39659762834248263, c2=0.08872204503179475 ..................
[CV]  c1=0.39659762834248263, c2=0.08872204503179475, score=0.704036 -   1.4s
[CV] c1=1.0142400382615502, c2=0.03721605158342123 ...................
[CV]  c1=1.0142400382615502, c2=0.03721605158342123, score=0.659385 -   1.2s
[CV] c1=0.004902934724062163, c2=0.1147569024860526 ..................
[CV]  c1=0.004902934724062163, c2=0.1147569024860526, score=0.775475 -   1.1s
[CV] c1=1.1047470954850855, c2=0.11054739147778658 ...................
[CV]  c1=1.1047470954850855, c2=0.11054739147778658, score=0.606264 -   1.5s
[CV] c1=0.6194520155606753, c2=0.0031439637516777956 .................
[CV]  c1=0.6194520155606753, c2=0.0031439637516777956, score=0.883205 -   1.5s
[CV] c1=1.258369282292605, c2=0.016760456329770867 ...................
[CV]  c1=1.258369282292605, c2=0.016760456329770867, score=0.593892 -   1.4s
[CV] c1=0.031319043302439585, c2=0.0277267574395905 ..................
[CV]  c1=0.031319043302439585, c2=0.0277267574395905, score=0.770576 -   1.1s
[CV] c1=0.20556867897734576, c2=0.03371164721828054 ..................
[CV]  c1=0.20556867897734576, c2=0.03371164721828054, score=0.881455 -   1.3s
[CV] c1=1.2674358611621939, c2=0.054488463092280476 ..................
[CV]  c1=1.2674358611621939, c2=0.054488463092280476, score=0.813731 -   1.4s
[CV] c1=0.5306715974512166, c2=0.005872443165827392 ..................
[CV]  c1=0.5306715974512166, c2=0.005872443165827392, score=0.710101 -   1.4s
[CV] c1=0.14077043343694762, c2=0.05921653529653394 ..................
[CV]  c1=0.14077043343694762, c2=0.05921653529653394, score=0.817258 -   1.3s
[CV] c1=0.05294258061521876, c2=0.0008280294410931326 ................
[CV]  c1=0.05294258061521876, c2=0.0008280294410931326, score=0.802882 -   1.3s
[CV] c1=0.05682674651640754, c2=0.08851208693770606 ..................
[CV]  c1=0.05682674651640754, c2=0.08851208693770606, score=0.886247 -   1.3s
[CV] c1=0.4053953063175935, c2=0.016580828845826474 ..................
[CV]  c1=0.4053953063175935, c2=0.016580828845826474, score=0.882269 -   1.4s
[CV] c1=0.539884996805647, c2=0.00493449571652128 ....................
[CV]  c1=0.539884996805647, c2=0.00493449571652128, score=0.770371 -   1.2s
[CV] c1=0.4869928948554284, c2=0.04254215168452462 ...................
[CV]  c1=0.4869928948554284, c2=0.04254215168452462, score=0.803301 -   1.5s
[CV] c1=0.27047475861888176, c2=0.005914951469218829 .................
[CV]  c1=0.27047475861888176, c2=0.005914951469218829, score=0.786795 -   1.1s
[CV] c1=0.16761898162065364, c2=0.04371203091149396 ..................
[CV]  c1=0.16761898162065364, c2=0.04371203091149396, score=0.797345 -   1.4s
[CV] c1=0.4725913152736086, c2=0.008867502757283924 ..................
[CV]  c1=0.4725913152736086, c2=0.008867502757283924, score=0.888701 -   1.4s
[CV] c1=0.4188247502080881, c2=0.11976716323205264 ...................
[CV]  c1=0.4188247502080881, c2=0.11976716323205264, score=0.760223 -   1.1s
[CV] c1=0.20556867897734576, c2=0.03371164721828054 ..................
[CV]  c1=0.20556867897734576, c2=0.03371164721828054, score=0.787672 -   1.5s
[CV] c1=0.17313301879308254, c2=0.07327640164867598 ..................
[CV]  c1=0.17313301879308254, c2=0.07327640164867598, score=0.790237 -   1.4s
[CV] c1=1.0395979387868084, c2=0.0034295015174953683 .................
[CV]  c1=1.0395979387868084, c2=0.0034295015174953683, score=0.720116 -   1.1s
[CV] c1=2.5992053569900397, c2=0.0002277480648157478 .................
[CV]  c1=2.5992053569900397, c2=0.0002277480648157478, score=0.570994 -   1.1s
[CV] c1=0.05294258061521876, c2=0.0008280294410931326 ................
[CV]  c1=0.05294258061521876, c2=0.0008280294410931326, score=0.889454 -   1.2s
[CV] c1=0.37383286449833614, c2=0.02741954923955503 ..................
[CV]  c1=0.37383286449833614, c2=0.02741954923955503, score=0.875803 -   1.1s
[CV] c1=0.39659762834248263, c2=0.08872204503179475 ..................
[CV]  c1=0.39659762834248263, c2=0.08872204503179475, score=0.879177 -   1.3s
[CV] c1=0.25252595015995505, c2=0.05901496116373905 ..................
[CV]  c1=0.25252595015995505, c2=0.05901496116373905, score=0.774430 -   1.4s
[CV] c1=0.5648920780180297, c2=0.008878955729405318 ..................
[CV]  c1=0.5648920780180297, c2=0.008878955729405318, score=0.806868 -   1.6s
[CV] c1=0.03000097145988891, c2=0.024307236275084347 .................
[CV]  c1=0.03000097145988891, c2=0.024307236275084347, score=0.757546 -   1.2s
[CV] c1=0.6194520155606753, c2=0.0031439637516777956 .................
[CV]  c1=0.6194520155606753, c2=0.0031439637516777956, score=0.811192 -   1.4s
[CV] c1=1.258369282292605, c2=0.016760456329770867 ...................
[CV]  c1=1.258369282292605, c2=0.016760456329770867, score=0.787626 -   1.4s
[CV] c1=0.2994667817272137, c2=0.03231611068785536 ...................
[CV]  c1=0.2994667817272137, c2=0.03231611068785536, score=0.838514 -   1.3s
[CV] c1=0.20556867897734576, c2=0.03371164721828054 ..................
[CV]  c1=0.20556867897734576, c2=0.03371164721828054, score=0.821139 -   1.3s
[CV] c1=1.2674358611621939, c2=0.054488463092280476 ..................
[CV]  c1=1.2674358611621939, c2=0.054488463092280476, score=0.783207 -   1.3s
[CV] c1=0.5306715974512166, c2=0.005872443165827392 ..................
[CV]  c1=0.5306715974512166, c2=0.005872443165827392, score=0.811300 -   1.4s
[CV] c1=0.14077043343694762, c2=0.05921653529653394 ..................
[CV]  c1=0.14077043343694762, c2=0.05921653529653394, score=0.781370 -   1.4s
[CV] c1=0.010465875252095174, c2=0.007629920691847446 ................
[CV]  c1=0.010465875252095174, c2=0.007629920691847446, score=0.854944 -   1.0s
[CV] c1=0.23808911142819997, c2=0.07069950470428958 ..................
[CV]  c1=0.23808911142819997, c2=0.07069950470428958, score=0.842784 -   1.1s
[CV] c1=0.1761315689669074, c2=0.029298695017003593 ..................
[CV]  c1=0.1761315689669074, c2=0.029298695017003593, score=0.800971 -   1.4s
[CV] c1=0.25252595015995505, c2=0.05901496116373905 ..................
[CV]  c1=0.25252595015995505, c2=0.05901496116373905, score=0.791322 -   1.2s
[CV] c1=0.02140849840852002, c2=0.05899736742521913 ..................
[CV]  c1=0.02140849840852002, c2=0.05899736742521913, score=0.818876 -   1.4s
[CV] c1=1.1047470954850855, c2=0.11054739147778658 ...................
[CV]  c1=1.1047470954850855, c2=0.11054739147778658, score=0.788498 -   1.4s
[CV] c1=0.2732815407769952, c2=0.057854858398295884 ..................
[CV]  c1=0.2732815407769952, c2=0.057854858398295884, score=0.778960 -   1.4s
[CV] c1=1.258369282292605, c2=0.016760456329770867 ...................
[CV]  c1=1.258369282292605, c2=0.016760456329770867, score=0.678724 -   1.1s
[CV] c1=0.4633326451447968, c2=0.04428903524850875 ...................
[CV]  c1=0.4633326451447968, c2=0.04428903524850875, score=0.725318 -   1.5s
[CV] c1=0.17292519952358368, c2=0.010302608884905336 .................
[CV]  c1=0.17292519952358368, c2=0.010302608884905336, score=0.792915 -   1.5s
[CV] c1=1.2674358611621939, c2=0.054488463092280476 ..................
[CV]  c1=1.2674358611621939, c2=0.054488463092280476, score=0.633237 -   1.4s
[CV] c1=0.1090550110973739, c2=0.22035544651360328 ...................
[CV]  c1=0.1090550110973739, c2=0.22035544651360328, score=0.784438 -   1.2s
[CV] c1=0.14077043343694762, c2=0.05921653529653394 ..................
[CV]  c1=0.14077043343694762, c2=0.05921653529653394, score=0.787570 -   1.5s
[CV] c1=0.05294258061521876, c2=0.0008280294410931326 ................
[CV]  c1=0.05294258061521876, c2=0.0008280294410931326, score=0.783617 -   1.1s
[CV] c1=0.23808911142819997, c2=0.07069950470428958 ..................
[CV]  c1=0.23808911142819997, c2=0.07069950470428958, score=0.783545 -   1.4s
[CV] c1=0.39659762834248263, c2=0.08872204503179475 ..................
[CV]  c1=0.39659762834248263, c2=0.08872204503179475, score=0.785615 -   1.3s
[CV] c1=0.8310403912025112, c2=0.022068018792225273 ..................
[CV]  c1=0.8310403912025112, c2=0.022068018792225273, score=0.687087 -   1.4s
[CV] c1=0.4869928948554284, c2=0.04254215168452462 ...................
[CV]  c1=0.4869928948554284, c2=0.04254215168452462, score=0.733738 -   1.3s
[CV] c1=0.20573275756808979, c2=0.08411769421068419 ..................
[CV]  c1=0.20573275756808979, c2=0.08411769421068419, score=0.757677 -   1.4s
[CV] c1=0.46975532940232384, c2=0.05524763545518096 ..................
[CV]  c1=0.46975532940232384, c2=0.05524763545518096, score=0.865728 -   1.4s
[CV] c1=0.4725913152736086, c2=0.008867502757283924 ..................
[CV]  c1=0.4725913152736086, c2=0.008867502757283924, score=0.773019 -   1.1s
[CV] c1=0.2994667817272137, c2=0.03231611068785536 ...................
[CV]  c1=0.2994667817272137, c2=0.03231611068785536, score=0.759959 -   1.5s
[CV] c1=0.4708352867942507, c2=0.054109034423301616 ..................
[CV]  c1=0.4708352867942507, c2=0.054109034423301616, score=0.868191 -   1.4s
[CV] c1=0.17313301879308254, c2=0.07327640164867598 ..................
[CV]  c1=0.17313301879308254, c2=0.07327640164867598, score=0.811126 -   1.3s
[CV] c1=0.1090550110973739, c2=0.22035544651360328 ...................
[CV]  c1=0.1090550110973739, c2=0.22035544651360328, score=0.703088 -   1.4s
[CV] c1=2.5992053569900397, c2=0.0002277480648157478 .................
[CV]  c1=2.5992053569900397, c2=0.0002277480648157478, score=0.584124 -   1.3s
[CV] c1=0.010465875252095174, c2=0.007629920691847446 ................
[CV]  c1=0.010465875252095174, c2=0.007629920691847446, score=0.833201 -   1.1s
[CV] c1=0.05682674651640754, c2=0.08851208693770606 ..................
[CV]  c1=0.05682674651640754, c2=0.08851208693770606, score=0.821139 -   1.3s
[CV] c1=0.4053953063175935, c2=0.016580828845826474 ..................
[CV]  c1=0.4053953063175935, c2=0.016580828845826474, score=0.842784 -   1.3s
[CV] c1=0.539884996805647, c2=0.00493449571652128 ....................
[CV]  c1=0.539884996805647, c2=0.00493449571652128, score=0.803566 -   1.3s
[CV] c1=1.3063133917740424, c2=0.010025180341516652 ..................
[CV]  c1=1.3063133917740424, c2=0.010025180341516652, score=0.642540 -   1.5s
[CV] c1=0.7392399479485341, c2=0.06214666858929342 ...................
[CV]  c1=0.7392399479485341, c2=0.06214666858929342, score=0.848094 -   1.4s
[CV] c1=0.048650808384291346, c2=0.012305067509364059 ................
[CV]  c1=0.048650808384291346, c2=0.012305067509364059, score=0.875730 -   1.4s
[CV] c1=0.5506867994442438, c2=0.12064027482362633 ...................
[CV]  c1=0.5506867994442438, c2=0.12064027482362633, score=0.715533 -   1.1s
[CV] c1=1.0769850264302006, c2=0.07822337435139845 ...................
[CV]  c1=1.0769850264302006, c2=0.07822337435139845, score=0.656307 -   1.5s
[CV] c1=0.7562514942964168, c2=0.006966126263501563 ..................
[CV]  c1=0.7562514942964168, c2=0.006966126263501563, score=0.869392 -   1.2s
[CV] c1=0.3600109442395376, c2=0.10171351400936822 ...................
[CV]  c1=0.3600109442395376, c2=0.10171351400936822, score=0.750748 -   1.1s
[CV] c1=1.0395979387868084, c2=0.0034295015174953683 .................
[CV]  c1=1.0395979387868084, c2=0.0034295015174953683, score=0.843614 -   1.4s
[CV] c1=0.0361349581863884, c2=0.013433789167695775 ..................
[CV]  c1=0.0361349581863884, c2=0.013433789167695775, score=0.769673 -   1.1s
[CV] c1=0.010465875252095174, c2=0.007629920691847446 ................
[CV]  c1=0.010465875252095174, c2=0.007629920691847446, score=0.864183 -   1.1s
[CV] c1=0.15779203690046992, c2=0.0678228332251168 ...................
[CV]  c1=0.15779203690046992, c2=0.0678228332251168, score=0.891846 -   1.3s
[CV] c1=1.411332946040042, c2=0.1273247917701275 .....................
[CV]  c1=1.411332946040042, c2=0.1273247917701275, score=0.582054 -   1.4s
[CV] c1=0.3235175596354521, c2=0.03630941964091648 ...................
[CV]  c1=0.3235175596354521, c2=0.03630941964091648, score=0.792682 -   1.4s
[CV] c1=0.14862942001998547, c2=0.011712341868382518 .................
[CV]  c1=0.14862942001998547, c2=0.011712341868382518, score=0.780750 -   1.1s
[CV] c1=0.4816140102733797, c2=0.0006751402893101902 .................
[CV]  c1=0.4816140102733797, c2=0.0006751402893101902, score=0.827702 -   1.3s
[CV] c1=0.6455079537924356, c2=0.0435594479938039 ....................
[CV]  c1=0.6455079537924356, c2=0.0435594479938039, score=0.687711 -   1.4s
[CV] c1=0.5506867994442438, c2=0.12064027482362633 ...................
[CV]  c1=0.5506867994442438, c2=0.12064027482362633, score=0.862548 -   1.3s
[CV] c1=0.8301529888028465, c2=0.020425933370182794 ..................
[CV]  c1=0.8301529888028465, c2=0.020425933370182794, score=0.749581 -   1.2s
[CV] c1=0.15864823724427848, c2=0.027200529786905604 .................
[CV]  c1=0.15864823724427848, c2=0.027200529786905604, score=0.785492 -   1.4s
[CV] c1=0.0696199283309118, c2=0.043523174724004986 ..................
[CV]  c1=0.0696199283309118, c2=0.043523174724004986, score=0.762543 -   1.1s
[CV] c1=1.0395979387868084, c2=0.0034295015174953683 .................
[CV]  c1=1.0395979387868084, c2=0.0034295015174953683, score=0.808626 -   1.4s
[CV] c1=0.0361349581863884, c2=0.013433789167695775 ..................
[CV]  c1=0.0361349581863884, c2=0.013433789167695775, score=0.855913 -   1.3s
[CV] c1=0.10937228122430301, c2=0.03879696081351172 ..................
[CV]  c1=0.10937228122430301, c2=0.03879696081351172, score=0.843625 -   0.9s
[CV] c1=0.4514058178623741, c2=0.022962111577816694 ..................
[CV]  c1=0.4514058178623741, c2=0.022962111577816694, score=0.838514 -   1.1s
[CV] c1=0.1761315689669074, c2=0.029298695017003593 ..................
[CV]  c1=0.1761315689669074, c2=0.029298695017003593, score=0.843625 -   1.4s
[CV] c1=0.25252595015995505, c2=0.05901496116373905 ..................
[CV]  c1=0.25252595015995505, c2=0.05901496116373905, score=0.869738 -   1.4s
[CV] c1=0.5648920780180297, c2=0.008878955729405318 ..................
[CV]  c1=0.5648920780180297, c2=0.008878955729405318, score=0.781589 -   1.3s
[CV] c1=0.7087230822876824, c2=0.019051633462105942 ..................
[CV]  c1=0.7087230822876824, c2=0.019051633462105942, score=0.859810 -   1.7s
[CV] c1=0.16761898162065364, c2=0.04371203091149396 ..................
[CV]  c1=0.16761898162065364, c2=0.04371203091149396, score=0.875155 -   1.4s
[CV] c1=0.03031355487696099, c2=0.07873120554783937 ..................
[CV]  c1=0.03031355487696099, c2=0.07873120554783937, score=0.815399 -   1.4s
[CV] c1=0.4188247502080881, c2=0.11976716323205264 ...................
[CV]  c1=0.4188247502080881, c2=0.11976716323205264, score=0.850719 -   1.3s
[CV] c1=2.2946945863537573, c2=0.0037147719772174445 .................
[CV]  c1=2.2946945863537573, c2=0.0037147719772174445, score=0.768967 -   1.3s
[CV] c1=0.6648354640232057, c2=0.020928176458224625 ..................
[CV]  c1=0.6648354640232057, c2=0.020928176458224625, score=0.768167 -   1.1s
[CV] c1=0.5306715974512166, c2=0.005872443165827392 ..................
[CV]  c1=0.5306715974512166, c2=0.005872443165827392, score=0.794139 -   1.4s
[CV] c1=2.5992053569900397, c2=0.0002277480648157478 .................
[CV]  c1=2.5992053569900397, c2=0.0002277480648157478, score=0.590047 -   1.6s
[CV] c1=0.10937228122430301, c2=0.03879696081351172 ..................
[CV]  c1=0.10937228122430301, c2=0.03879696081351172, score=0.783420 -   0.9s
[CV] c1=0.26819452534344446, c2=0.10860712779878322 ..................
[CV]  c1=0.26819452534344446, c2=0.10860712779878322, score=0.809798 -   1.3s
[CV] c1=1.2126874307846516, c2=0.03393667494729436 ...................
[CV]  c1=1.2126874307846516, c2=0.03393667494729436, score=0.668424 -   1.1s
[CV] c1=0.25252595015995505, c2=0.05901496116373905 ..................
[CV]  c1=0.25252595015995505, c2=0.05901496116373905, score=0.838514 -   1.4s
[CV] c1=0.5648920780180297, c2=0.008878955729405318 ..................
[CV]  c1=0.5648920780180297, c2=0.008878955729405318, score=0.750650 -   1.4s
[CV] c1=0.7087230822876824, c2=0.019051633462105942 ..................
[CV]  c1=0.7087230822876824, c2=0.019051633462105942, score=0.786715 -   1.3s
[CV] c1=0.6194520155606753, c2=0.0031439637516777956 .................
[CV]  c1=0.6194520155606753, c2=0.0031439637516777956, score=0.748637 -   1.4s
[CV] c1=1.258369282292605, c2=0.016760456329770867 ...................
[CV]  c1=1.258369282292605, c2=0.016760456329770867, score=0.652098 -   1.4s
[CV] c1=0.031319043302439585, c2=0.0277267574395905 ..................
[CV]  c1=0.031319043302439585, c2=0.0277267574395905, score=0.862103 -   1.4s
[CV] c1=0.4708352867942507, c2=0.054109034423301616 ..................
[CV]  c1=0.4708352867942507, c2=0.054109034423301616, score=0.750070 -   1.3s
[CV] c1=0.17313301879308254, c2=0.07327640164867598 ..................
[CV]  c1=0.17313301879308254, c2=0.07327640164867598, score=0.769010 -   1.4s
[CV] c1=0.1090550110973739, c2=0.22035544651360328 ...................
[CV]  c1=0.1090550110973739, c2=0.22035544651360328, score=0.798405 -   1.5s
[CV] c1=0.0361349581863884, c2=0.013433789167695775 ..................
[CV]  c1=0.0361349581863884, c2=0.013433789167695775, score=0.883883 -   1.3s
[CV] c1=0.10937228122430301, c2=0.03879696081351172 ..................
[CV]  c1=0.10937228122430301, c2=0.03879696081351172, score=0.881455 -   1.0s
[CV] c1=0.05682674651640754, c2=0.08851208693770606 ..................
[CV]  c1=0.05682674651640754, c2=0.08851208693770606, score=0.764190 -   1.2s
[CV] c1=1.2126874307846516, c2=0.03393667494729436 ...................
[CV]  c1=1.2126874307846516, c2=0.03393667494729436, score=0.646460 -   1.4s
[CV] c1=0.29541567654948864, c2=0.01752397865483039 ..................
[CV]  c1=0.29541567654948864, c2=0.01752397865483039, score=0.769350 -   1.1s
[CV] c1=0.004902934724062163, c2=0.1147569024860526 ..................
[CV]  c1=0.004902934724062163, c2=0.1147569024860526, score=0.816490 -   1.4s
[CV] c1=0.20573275756808979, c2=0.08411769421068419 ..................
[CV]  c1=0.20573275756808979, c2=0.08411769421068419, score=0.794821 -   1.4s
[CV] c1=0.46975532940232384, c2=0.05524763545518096 ..................
[CV]  c1=0.46975532940232384, c2=0.05524763545518096, score=0.769973 -   1.1s
[CV] c1=0.03031355487696099, c2=0.07873120554783937 ..................
[CV]  c1=0.03031355487696099, c2=0.07873120554783937, score=0.886680 -   1.4s
[CV] c1=0.031319043302439585, c2=0.0277267574395905 ..................
[CV]  c1=0.031319043302439585, c2=0.0277267574395905, score=0.807728 -   1.4s
[CV] c1=0.4708352867942507, c2=0.054109034423301616 ..................
[CV]  c1=0.4708352867942507, c2=0.054109034423301616, score=0.790143 -   1.5s
[CV] c1=0.6648354640232057, c2=0.020928176458224625 ..................
[CV]  c1=0.6648354640232057, c2=0.020928176458224625, score=0.685515 -   1.4s
[CV] c1=1.0395979387868084, c2=0.0034295015174953683 .................
[CV]  c1=1.0395979387868084, c2=0.0034295015174953683, score=0.684869 -   1.4s
[CV] c1=0.09188192824186131, c2=0.021602913477872243 .................
[CV]  c1=0.09188192824186131, c2=0.021602913477872243, score=0.761590 -   1.1s
[CV] c1=0.010465875252095174, c2=0.007629920691847446 ................
[CV]  c1=0.010465875252095174, c2=0.007629920691847446, score=0.800971 -   1.1s
[CV] c1=0.37383286449833614, c2=0.02741954923955503 ..................
[CV]  c1=0.37383286449833614, c2=0.02741954923955503, score=0.787667 -   1.2s
[CV] c1=1.2126874307846516, c2=0.03393667494729436 ...................
[CV]  c1=1.2126874307846516, c2=0.03393667494729436, score=0.807302 -   1.4s
[CV] c1=1.0142400382615502, c2=0.03721605158342123 ...................
[CV]  c1=1.0142400382615502, c2=0.03721605158342123, score=0.659318 -   1.4s
[CV] c1=0.21792963825770337, c2=0.09189008799305548 ..................
[CV]  c1=0.21792963825770337, c2=0.09189008799305548, score=0.745476 -   1.1s
[CV] c1=0.20573275756808979, c2=0.08411769421068419 ..................
[CV]  c1=0.20573275756808979, c2=0.08411769421068419, score=0.766351 -   1.2s
[CV] c1=0.6194520155606753, c2=0.0031439637516777956 .................
[CV]  c1=0.6194520155606753, c2=0.0031439637516777956, score=0.776111 -   1.2s
[CV] c1=0.03653889828613648, c2=5.3679930020555785e-05 ...............
[CV]  c1=0.03653889828613648, c2=5.3679930020555785e-05, score=0.816168 -   1.5s
[CV] c1=0.4633326451447968, c2=0.04428903524850875 ...................
[CV]  c1=0.4633326451447968, c2=0.04428903524850875, score=0.830879 -   1.5s
[CV] c1=0.20556867897734576, c2=0.03371164721828054 ..................
[CV]  c1=0.20556867897734576, c2=0.03371164721828054, score=0.770870 -   1.4s
[CV] c1=1.2674358611621939, c2=0.054488463092280476 ..................
[CV]  c1=1.2674358611621939, c2=0.054488463092280476, score=0.587709 -   1.5s
[CV] c1=0.1090550110973739, c2=0.22035544651360328 ...................
[CV]  c1=0.1090550110973739, c2=0.22035544651360328, score=0.794173 -   1.3s
[CV] c1=2.5992053569900397, c2=0.0002277480648157478 .................
[CV]  c1=2.5992053569900397, c2=0.0002277480648157478, score=0.500439 -   1.5s
[CV] c1=0.10937228122430301, c2=0.03879696081351172 ..................
[CV]  c1=0.10937228122430301, c2=0.03879696081351172, score=0.797108 -   1.1s
Training done in: 19.420617s
     Saving training model...
        Saving training model done in: 0.013327s
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Prediction done in: 0.031982s