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

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Run8_v10.txt 73 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: Run8
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: TrueS4: False
Run variant: 10
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003739s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0        1
0       lemma        :
1      postag        :
2    -1:lemma       in
3   -1:postag       IN
4    +1:lemma       m9
5   +1:postag       NN
6      hUpper    False
7      hLower    False
8      hGreek    False
9        symb    False
10   word[:1]        :
11       word        :
12    isUpper    False
13    isLower    False
14    isGreek    False
15   isNumber    False
16    -1:word       in
17    +1:word       M9
18   -2:lemma  culture
19  -2:postag      VBN
20   +2:lemma  minimal
21  +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10   word[:1]           d
11   word[:2]          de
12       word  delta-arcA
13    isUpper       False
14    isLower       False
15    isGreek       False
16   isNumber       False
17    -1:word           _
18    +1:word           _
19   -2:lemma     affyexp
20  -2:postag          JJ
21   +2:lemma     glucose
22  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.003968819369969948, c2=0.005625168927681999 ................
[CV]  c1=0.003968819369969948, c2=0.005625168927681999, score=0.822631 -   1.6s
[CV] c1=0.6822516300426009, c2=0.016793810442886886 ..................
[CV]  c1=0.6822516300426009, c2=0.016793810442886886, score=0.876295 -   1.6s
[CV] c1=0.5674562042045797, c2=0.05758083017018263 ...................
[CV]  c1=0.5674562042045797, c2=0.05758083017018263, score=0.843215 -   1.8s
[CV] c1=0.5304515875103292, c2=0.07716413203715912 ...................
[CV]  c1=0.5304515875103292, c2=0.07716413203715912, score=0.807364 -   1.8s
[CV] c1=0.8244083097079254, c2=0.062381754752777796 ..................
[CV]  c1=0.8244083097079254, c2=0.062381754752777796, score=0.683567 -   1.3s
[CV] c1=0.5274764504572338, c2=0.03496317590819584 ...................
[CV]  c1=0.5274764504572338, c2=0.03496317590819584, score=0.851886 -   1.7s
[CV] c1=0.04287688421071093, c2=0.027085651004806 ....................
[CV]  c1=0.04287688421071093, c2=0.027085651004806, score=0.894358 -   1.8s
[CV] c1=0.06785525512004466, c2=0.09855851934185335 ..................
[CV]  c1=0.06785525512004466, c2=0.09855851934185335, score=0.852159 -   1.6s
[CV] c1=0.5572477077363913, c2=0.09090814628575158 ...................
[CV]  c1=0.5572477077363913, c2=0.09090814628575158, score=0.736999 -   1.8s
[CV] c1=0.35562899070554127, c2=0.014769859660546517 .................
[CV]  c1=0.35562899070554127, c2=0.014769859660546517, score=0.871926 -   1.8s
[CV] c1=0.1899896232902413, c2=0.014694277535578934 ..................
[CV]  c1=0.1899896232902413, c2=0.014694277535578934, score=0.810499 -   1.8s
[CV] c1=0.03995780755047503, c2=0.15129065645707626 ..................
[CV]  c1=0.03995780755047503, c2=0.15129065645707626, score=0.880176 -   1.7s
[CV] c1=0.15503120195922482, c2=0.07102096619207778 ..................
[CV]  c1=0.15503120195922482, c2=0.07102096619207778, score=0.810739 -   1.7s
[CV] c1=0.7045873626164005, c2=0.05087604474822136 ...................
[CV]  c1=0.7045873626164005, c2=0.05087604474822136, score=0.802658 -   1.6s
[CV] c1=0.1745883218919492, c2=0.03358809791110844 ...................
[CV]  c1=0.1745883218919492, c2=0.03358809791110844, score=0.758543 -   1.3s
[CV] c1=0.6283459111510131, c2=0.02819715364919467 ...................
[CV]  c1=0.6283459111510131, c2=0.02819715364919467, score=0.805862 -   1.6s
[CV] c1=0.3313668333609695, c2=0.14244393555546317 ...................
[CV]  c1=0.3313668333609695, c2=0.14244393555546317, score=0.783441 -   1.7s
[CV] c1=1.6376783021095769, c2=0.014747269939862674 ..................
[CV]  c1=1.6376783021095769, c2=0.014747269939862674, score=0.617811 -   1.7s
[CV] c1=2.0719836039497093, c2=0.002257616410063974 ..................
[CV]  c1=2.0719836039497093, c2=0.002257616410063974, score=0.716070 -   1.6s
[CV] c1=0.14411628182685732, c2=0.039715410568266774 .................
[CV]  c1=0.14411628182685732, c2=0.039715410568266774, score=0.850208 -   1.6s
[CV] c1=0.2815368376192699, c2=0.03549737489764303 ...................
[CV]  c1=0.2815368376192699, c2=0.03549737489764303, score=0.853258 -   1.6s
[CV] c1=0.6445686175127768, c2=0.031989342395372634 ..................
[CV]  c1=0.6445686175127768, c2=0.031989342395372634, score=0.730515 -   1.3s
[CV] c1=0.6355400875935387, c2=0.05161536393287852 ...................
[CV]  c1=0.6355400875935387, c2=0.05161536393287852, score=0.729626 -   1.7s
[CV] c1=0.03995780755047503, c2=0.15129065645707626 ..................
[CV]  c1=0.03995780755047503, c2=0.15129065645707626, score=0.809254 -   1.7s
[CV] c1=0.27026113177460365, c2=0.019497918448436805 .................
[CV]  c1=0.27026113177460365, c2=0.019497918448436805, score=0.804109 -   1.6s
[CV] c1=0.3121524625801704, c2=0.026585229796433282 ..................
[CV]  c1=0.3121524625801704, c2=0.026585229796433282, score=0.734422 -   1.4s
[CV] c1=0.40023724599186616, c2=0.0876610825061677 ...................
[CV]  c1=0.40023724599186616, c2=0.0876610825061677, score=0.891149 -   1.9s
[CV] c1=0.3583772704383772, c2=0.009154459478173822 ..................
[CV]  c1=0.3583772704383772, c2=0.009154459478173822, score=0.871475 -   1.8s
[CV] c1=0.2072446573209284, c2=0.020210511209085735 ..................
[CV]  c1=0.2072446573209284, c2=0.020210511209085735, score=0.853034 -   1.6s
[CV] c1=0.8749007570558784, c2=0.024296078206615362 ..................
[CV]  c1=0.8749007570558784, c2=0.024296078206615362, score=0.797591 -   1.6s
[CV] c1=0.046619857401030126, c2=0.0244084537000544 ..................
[CV]  c1=0.046619857401030126, c2=0.0244084537000544, score=0.761349 -   1.4s
[CV] c1=0.14411628182685732, c2=0.039715410568266774 .................
[CV]  c1=0.14411628182685732, c2=0.039715410568266774, score=0.743088 -   1.3s
[CV] c1=0.4028605423011327, c2=0.0025669154627623062 .................
[CV]  c1=0.4028605423011327, c2=0.0025669154627623062, score=0.862640 -   1.7s
[CV] c1=1.7163345892145971, c2=0.03155390872783525 ...................
[CV]  c1=1.7163345892145971, c2=0.03155390872783525, score=0.817430 -   1.8s
[CV] c1=0.869572161883623, c2=0.05463965340181753 ....................
[CV]  c1=0.869572161883623, c2=0.05463965340181753, score=0.795084 -   1.7s
[CV] c1=0.3674190019840565, c2=0.027981416633197965 ..................
[CV]  c1=0.3674190019840565, c2=0.027981416633197965, score=0.737024 -   1.4s
[CV] c1=0.15503120195922482, c2=0.07102096619207778 ..................
[CV]  c1=0.15503120195922482, c2=0.07102096619207778, score=0.901717 -   1.6s
[CV] c1=0.3121524625801704, c2=0.026585229796433282 ..................
[CV]  c1=0.3121524625801704, c2=0.026585229796433282, score=0.862189 -   1.9s
[CV] c1=0.050706982028710906, c2=0.4150901503056618 ..................
[CV]  c1=0.050706982028710906, c2=0.4150901503056618, score=0.870303 -   1.6s
[CV] c1=0.16247154636750877, c2=0.021357087466575872 .................
[CV]  c1=0.16247154636750877, c2=0.021357087466575872, score=0.839348 -   1.7s
[CV] c1=0.15454346223546608, c2=0.07156715475979002 ..................
[CV]  c1=0.15454346223546608, c2=0.07156715475979002, score=0.901717 -   1.7s
[CV] c1=0.015877336081973004, c2=0.028374975602357095 ................
[CV]  c1=0.015877336081973004, c2=0.028374975602357095, score=0.744505 -   1.4s
[CV] c1=2.0719836039497093, c2=0.002257616410063974 ..................
[CV]  c1=2.0719836039497093, c2=0.002257616410063974, score=0.570112 -   1.7s
[CV] c1=0.2805806671868042, c2=0.011461016417251972 ..................
[CV]  c1=0.2805806671868042, c2=0.011461016417251972, score=0.731458 -   1.4s
[CV] c1=0.2815368376192699, c2=0.03549737489764303 ...................
[CV]  c1=0.2815368376192699, c2=0.03549737489764303, score=0.741812 -   1.3s
[CV] c1=0.22628484067663185, c2=0.00874842765832918 ..................
[CV]  c1=0.22628484067663185, c2=0.00874842765832918, score=0.735476 -   1.4s
[CV] c1=0.63997401231351, c2=0.07254336722825792 .....................
[CV]  c1=0.63997401231351, c2=0.07254336722825792, score=0.840496 -   1.9s
[CV] c1=1.5746930236004948, c2=0.03256963628236275 ...................
[CV]  c1=1.5746930236004948, c2=0.03256963628236275, score=0.581794 -   1.8s
[CV] c1=0.27026113177460365, c2=0.019497918448436805 .................
[CV]  c1=0.27026113177460365, c2=0.019497918448436805, score=0.891828 -   1.7s
[CV] c1=0.3121524625801704, c2=0.026585229796433282 ..................
[CV]  c1=0.3121524625801704, c2=0.026585229796433282, score=0.847803 -   1.7s
[CV] c1=0.15159264473418319, c2=0.2152864486731823 ...................
[CV]  c1=0.15159264473418319, c2=0.2152864486731823, score=0.804854 -   1.7s
[CV] c1=0.16247154636750877, c2=0.021357087466575872 .................
[CV]  c1=0.16247154636750877, c2=0.021357087466575872, score=0.901717 -   1.7s
[CV] c1=0.2072446573209284, c2=0.020210511209085735 ..................
[CV]  c1=0.2072446573209284, c2=0.020210511209085735, score=0.746407 -   1.4s
[CV] c1=0.8820794921221042, c2=0.02094538965887842 ...................
[CV]  c1=0.8820794921221042, c2=0.02094538965887842, score=0.866720 -   1.7s
[CV] c1=2.0719836039497093, c2=0.002257616410063974 ..................
[CV]  c1=2.0719836039497093, c2=0.002257616410063974, score=0.614483 -   1.7s
[CV] c1=0.14411628182685732, c2=0.039715410568266774 .................
[CV]  c1=0.14411628182685732, c2=0.039715410568266774, score=0.829468 -   1.7s
[CV] c1=0.30058279778898356, c2=0.09943079283590522 ..................
[CV]  c1=0.30058279778898356, c2=0.09943079283590522, score=0.897598 -   1.7s
[CV] c1=0.6445686175127768, c2=0.031989342395372634 ..................
[CV]  c1=0.6445686175127768, c2=0.031989342395372634, score=0.843215 -   1.7s
[CV] c1=0.7593246679092055, c2=0.10449570932834801 ...................
[CV]  c1=0.7593246679092055, c2=0.10449570932834801, score=0.700536 -   1.7s
[CV] c1=0.33476969645878846, c2=0.003959208216681016 .................
[CV]  c1=0.33476969645878846, c2=0.003959208216681016, score=0.738761 -   1.3s
[CV] c1=0.1886782580100401, c2=0.01941285181260449 ...................
[CV]  c1=0.1886782580100401, c2=0.01941285181260449, score=0.853034 -   1.6s
[CV] c1=0.417266103158962, c2=0.0022873475849118185 ..................
[CV]  c1=0.417266103158962, c2=0.0022873475849118185, score=0.888197 -   1.7s
[CV] c1=0.5846632121239267, c2=0.006707933804501518 ..................
[CV]  c1=0.5846632121239267, c2=0.006707933804501518, score=0.749965 -   1.9s
[CV] c1=0.6283459111510131, c2=0.02819715364919467 ...................
[CV]  c1=0.6283459111510131, c2=0.02819715364919467, score=0.729626 -   1.8s
[CV] c1=2.174709129302199, c2=0.0010803628734653893 ..................
[CV]  c1=2.174709129302199, c2=0.0010803628734653893, score=0.635358 -   1.7s
[CV] c1=0.8820794921221042, c2=0.02094538965887842 ...................
[CV]  c1=0.8820794921221042, c2=0.02094538965887842, score=0.800388 -   1.4s
[CV] c1=2.0719836039497093, c2=0.002257616410063974 ..................
[CV]  c1=2.0719836039497093, c2=0.002257616410063974, score=0.566851 -   1.4s
[CV] c1=0.2543334983464457, c2=0.09427207248047594 ...................
[CV]  c1=0.2543334983464457, c2=0.09427207248047594, score=0.910186 -   1.6s
[CV] c1=0.5309384849652224, c2=0.005925064473520925 ..................
[CV]  c1=0.5309384849652224, c2=0.005925064473520925, score=0.778904 -   1.7s
[CV] c1=0.6445686175127768, c2=0.031989342395372634 ..................
[CV]  c1=0.6445686175127768, c2=0.031989342395372634, score=0.872461 -   1.7s
[CV] c1=0.503450784756294, c2=0.05432046431963583 ....................
[CV]  c1=0.503450784756294, c2=0.05432046431963583, score=0.734138 -   1.4s
[CV] c1=0.46329276559200777, c2=0.00647620592602479 ..................
[CV]  c1=0.46329276559200777, c2=0.00647620592602479, score=0.888197 -   1.6s
[CV] c1=0.017163830476509812, c2=0.03725458345798343 .................
[CV]  c1=0.017163830476509812, c2=0.03725458345798343, score=0.818706 -   1.8s
[CV] c1=0.02663371044496825, c2=0.07791080822837011 ..................
[CV]  c1=0.02663371044496825, c2=0.07791080822837011, score=0.782214 -   1.7s
[CV] c1=0.5846632121239267, c2=0.006707933804501518 ..................
[CV]  c1=0.5846632121239267, c2=0.006707933804501518, score=0.729561 -   1.4s
[CV] c1=0.465888643485173, c2=0.046194236632630344 ...................
[CV]  c1=0.465888643485173, c2=0.046194236632630344, score=0.729561 -   1.4s
[CV] c1=0.5941127680325777, c2=0.0830124617013832 ....................
[CV]  c1=0.5941127680325777, c2=0.0830124617013832, score=0.858103 -   1.8s
[CV] c1=0.584624469849229, c2=0.06368505765174141 ....................
[CV]  c1=0.584624469849229, c2=0.06368505765174141, score=0.716472 -   1.8s
[CV] c1=0.04287688421071093, c2=0.027085651004806 ....................
[CV]  c1=0.04287688421071093, c2=0.027085651004806, score=0.842002 -   1.8s
[CV] c1=0.1331449410266928, c2=0.011603425837169896 ..................
[CV]  c1=0.1331449410266928, c2=0.011603425837169896, score=0.823255 -   1.7s
[CV] c1=0.4028605423011327, c2=0.0025669154627623062 .................
[CV]  c1=0.4028605423011327, c2=0.0025669154627623062, score=0.889965 -   1.7s
[CV] c1=0.22628484067663185, c2=0.00874842765832918 ..................
[CV]  c1=0.22628484067663185, c2=0.00874842765832918, score=0.891905 -   1.7s
[CV] c1=0.6355400875935387, c2=0.05161536393287852 ...................
[CV]  c1=0.6355400875935387, c2=0.05161536393287852, score=0.796086 -   1.7s
[CV] c1=0.03995780755047503, c2=0.15129065645707626 ..................
[CV]  c1=0.03995780755047503, c2=0.15129065645707626, score=0.852159 -   1.6s
[CV] c1=0.15503120195922482, c2=0.07102096619207778 ..................
[CV]  c1=0.15503120195922482, c2=0.07102096619207778, score=0.758055 -   1.3s
[CV] c1=0.2152516299841801, c2=0.0015516175723159218 .................
[CV]  c1=0.2152516299841801, c2=0.0015516175723159218, score=0.744227 -   1.3s
[CV] c1=0.9033108631757741, c2=0.04144370851511187 ...................
[CV]  c1=0.9033108631757741, c2=0.04144370851511187, score=0.863283 -   1.6s
[CV] c1=0.5304515875103292, c2=0.07716413203715912 ...................
[CV]  c1=0.5304515875103292, c2=0.07716413203715912, score=0.858103 -   1.6s
[CV] c1=0.35594598515720427, c2=0.034194413856528987 .................
[CV]  c1=0.35594598515720427, c2=0.034194413856528987, score=0.847803 -   1.9s
[CV] c1=1.6051165078126046, c2=0.0036457150511113126 .................
[CV]  c1=1.6051165078126046, c2=0.0036457150511113126, score=0.833000 -   1.7s
[CV] c1=0.11287035022772632, c2=0.046108132431820874 .................
[CV]  c1=0.11287035022772632, c2=0.046108132431820874, score=0.850208 -   1.6s
[CV] c1=0.06813298747485523, c2=0.09831614256766986 ..................
[CV]  c1=0.06813298747485523, c2=0.09831614256766986, score=0.810739 -   1.7s
[CV] c1=0.4028605423011327, c2=0.0025669154627623062 .................
[CV]  c1=0.4028605423011327, c2=0.0025669154627623062, score=0.847803 -   1.7s
[CV] c1=0.22628484067663185, c2=0.00874842765832918 ..................
[CV]  c1=0.22628484067663185, c2=0.00874842765832918, score=0.804109 -   1.8s
[CV] c1=0.869572161883623, c2=0.05463965340181753 ....................
[CV]  c1=0.869572161883623, c2=0.05463965340181753, score=0.689746 -   1.4s
[CV] c1=1.5746930236004948, c2=0.03256963628236275 ...................
[CV]  c1=1.5746930236004948, c2=0.03256963628236275, score=0.631237 -   1.7s
[CV] c1=0.1886782580100401, c2=0.01941285181260449 ...................
[CV]  c1=0.1886782580100401, c2=0.01941285181260449, score=0.877345 -   1.8s
[CV] c1=0.2152516299841801, c2=0.0015516175723159218 .................
[CV]  c1=0.2152516299841801, c2=0.0015516175723159218, score=0.897572 -   1.8s
[CV] c1=0.15159264473418319, c2=0.2152864486731823 ...................
[CV]  c1=0.15159264473418319, c2=0.2152864486731823, score=0.905900 -   1.7s
[CV] c1=0.3583772704383772, c2=0.009154459478173822 ..................
[CV]  c1=0.3583772704383772, c2=0.009154459478173822, score=0.726410 -   1.5s
[CV] c1=0.3313668333609695, c2=0.14244393555546317 ...................
[CV]  c1=0.3313668333609695, c2=0.14244393555546317, score=0.872909 -   1.9s
[CV] c1=0.8820794921221042, c2=0.02094538965887842 ...................
[CV]  c1=0.8820794921221042, c2=0.02094538965887842, score=0.826883 -   1.8s
[CV] c1=0.046619857401030126, c2=0.0244084537000544 ..................
[CV]  c1=0.046619857401030126, c2=0.0244084537000544, score=0.858409 -   1.6s
[CV] c1=0.2805806671868042, c2=0.011461016417251972 ..................
[CV]  c1=0.2805806671868042, c2=0.011461016417251972, score=0.850231 -   1.6s
[CV] c1=0.30058279778898356, c2=0.09943079283590522 ..................
[CV]  c1=0.30058279778898356, c2=0.09943079283590522, score=0.837975 -   1.6s
[CV] c1=0.43728599418900255, c2=0.0012264903123541835 ................
[CV]  c1=0.43728599418900255, c2=0.0012264903123541835, score=0.846113 -   1.6s
[CV] c1=0.7593246679092055, c2=0.10449570932834801 ...................
[CV]  c1=0.7593246679092055, c2=0.10449570932834801, score=0.680968 -   1.3s
[CV] c1=0.46329276559200777, c2=0.00647620592602479 ..................
[CV]  c1=0.46329276559200777, c2=0.00647620592602479, score=0.780359 -   1.7s
[CV] c1=1.0368070170763946, c2=0.02272506134426267 ...................
[CV]  c1=1.0368070170763946, c2=0.02272506134426267, score=0.676798 -   1.4s
[CV] c1=0.6822516300426009, c2=0.016793810442886886 ..................
[CV]  c1=0.6822516300426009, c2=0.016793810442886886, score=0.834866 -   1.9s
[CV] c1=0.5846632121239267, c2=0.006707933804501518 ..................
[CV]  c1=0.5846632121239267, c2=0.006707933804501518, score=0.860090 -   1.7s
[CV] c1=1.104683572026119, c2=0.03324324473517056 ....................
[CV]  c1=1.104683572026119, c2=0.03324324473517056, score=0.635557 -   1.8s
[CV] c1=0.8355878860602035, c2=0.053619037366713834 ..................
[CV]  c1=0.8355878860602035, c2=0.053619037366713834, score=0.771442 -   1.7s
[CV] c1=1.6376783021095769, c2=0.014747269939862674 ..................
[CV]  c1=1.6376783021095769, c2=0.014747269939862674, score=0.612666 -   1.4s
[CV] c1=0.048620594041621217, c2=0.014896330089527184 ................
[CV]  c1=0.048620594041621217, c2=0.014896330089527184, score=0.799818 -   1.7s
[CV] c1=0.06813298747485523, c2=0.09831614256766986 ..................
[CV]  c1=0.06813298747485523, c2=0.09831614256766986, score=0.852159 -   1.6s
[CV] c1=0.4028605423011327, c2=0.0025669154627623062 .................
[CV]  c1=0.4028605423011327, c2=0.0025669154627623062, score=0.786786 -   1.8s
[CV] c1=0.22628484067663185, c2=0.00874842765832918 ..................
[CV]  c1=0.22628484067663185, c2=0.00874842765832918, score=0.875059 -   1.7s
[CV] c1=0.869572161883623, c2=0.05463965340181753 ....................
[CV]  c1=0.869572161883623, c2=0.05463965340181753, score=0.700247 -   1.7s
[CV] c1=0.3674190019840565, c2=0.027981416633197965 ..................
[CV]  c1=0.3674190019840565, c2=0.027981416633197965, score=0.887806 -   1.7s
[CV] c1=1.0368070170763946, c2=0.02272506134426267 ...................
[CV]  c1=1.0368070170763946, c2=0.02272506134426267, score=0.793034 -   1.8s
[CV] c1=0.2152516299841801, c2=0.0015516175723159218 .................
[CV]  c1=0.2152516299841801, c2=0.0015516175723159218, score=0.862797 -   1.6s
[CV] c1=0.40023724599186616, c2=0.0876610825061677 ...................
[CV]  c1=0.40023724599186616, c2=0.0876610825061677, score=0.784905 -   1.7s
[CV] c1=0.6283459111510131, c2=0.02819715364919467 ...................
[CV]  c1=0.6283459111510131, c2=0.02819715364919467, score=0.843215 -   1.8s
[CV] c1=2.174709129302199, c2=0.0010803628734653893 ..................
[CV]  c1=2.174709129302199, c2=0.0010803628734653893, score=0.718059 -   1.7s
[CV] c1=0.8749007570558784, c2=0.024296078206615362 ..................
[CV]  c1=0.8749007570558784, c2=0.024296078206615362, score=0.864916 -   1.7s
[CV] c1=0.046619857401030126, c2=0.0244084537000544 ..................
[CV]  c1=0.046619857401030126, c2=0.0244084537000544, score=0.818706 -   1.7s
[CV] c1=0.957085635329358, c2=0.05297575850434083 ....................
[CV]  c1=0.957085635329358, c2=0.05297575850434083, score=0.858671 -   1.6s
[CV] c1=0.7140950507042204, c2=0.003944702642806077 ..................
[CV]  c1=0.7140950507042204, c2=0.003944702642806077, score=0.743384 -   1.4s
[CV] c1=0.43728599418900255, c2=0.0012264903123541835 ................
[CV]  c1=0.43728599418900255, c2=0.0012264903123541835, score=0.715923 -   1.4s
[CV] c1=0.869572161883623, c2=0.05463965340181753 ....................
[CV]  c1=0.869572161883623, c2=0.05463965340181753, score=0.800388 -   1.6s
[CV] c1=0.46329276559200777, c2=0.00647620592602479 ..................
[CV]  c1=0.46329276559200777, c2=0.00647620592602479, score=0.849331 -   1.7s
[CV] c1=0.5988397958038832, c2=0.02170878192270602 ...................
[CV]  c1=0.5988397958038832, c2=0.02170878192270602, score=0.812807 -   1.6s
[CV] c1=0.2152516299841801, c2=0.0015516175723159218 .................
[CV]  c1=0.2152516299841801, c2=0.0015516175723159218, score=0.804109 -   1.7s
[CV] c1=0.40023724599186616, c2=0.0876610825061677 ...................
[CV]  c1=0.40023724599186616, c2=0.0876610825061677, score=0.872909 -   1.7s
[CV] c1=0.3583772704383772, c2=0.009154459478173822 ..................
[CV]  c1=0.3583772704383772, c2=0.009154459478173822, score=0.896393 -   1.7s
[CV] c1=2.174709129302199, c2=0.0010803628734653893 ..................
[CV]  c1=2.174709129302199, c2=0.0010803628734653893, score=0.547565 -   1.4s
[CV] c1=1.6376783021095769, c2=0.014747269939862674 ..................
[CV]  c1=1.6376783021095769, c2=0.014747269939862674, score=0.819921 -   1.7s
[CV] c1=0.0346922655230289, c2=0.024031309659600122 ..................
[CV]  c1=0.0346922655230289, c2=0.024031309659600122, score=0.818706 -   1.7s
[CV] c1=0.2543334983464457, c2=0.09427207248047594 ...................
[CV]  c1=0.2543334983464457, c2=0.09427207248047594, score=0.840979 -   1.6s
[CV] c1=0.5309384849652224, c2=0.005925064473520925 ..................
[CV]  c1=0.5309384849652224, c2=0.005925064473520925, score=0.856812 -   1.8s
[CV] c1=0.6445686175127768, c2=0.031989342395372634 ..................
[CV]  c1=0.6445686175127768, c2=0.031989342395372634, score=0.802658 -   1.7s
[CV] c1=0.503450784756294, c2=0.05432046431963583 ....................
[CV]  c1=0.503450784756294, c2=0.05432046431963583, score=0.836347 -   1.7s
[CV] c1=0.3674190019840565, c2=0.027981416633197965 ..................
[CV]  c1=0.3674190019840565, c2=0.027981416633197965, score=0.858217 -   1.6s
[CV] c1=0.017163830476509812, c2=0.03725458345798343 .................
[CV]  c1=0.017163830476509812, c2=0.03725458345798343, score=0.888493 -   1.5s
[CV] c1=0.6822516300426009, c2=0.016793810442886886 ..................
[CV]  c1=0.6822516300426009, c2=0.016793810442886886, score=0.718176 -   1.4s
[CV] c1=0.5674562042045797, c2=0.05758083017018263 ...................
[CV]  c1=0.5674562042045797, c2=0.05758083017018263, score=0.727468 -   1.4s
[CV] c1=0.050706982028710906, c2=0.4150901503056618 ..................
[CV]  c1=0.050706982028710906, c2=0.4150901503056618, score=0.745602 -   1.3s
[CV] c1=0.3583772704383772, c2=0.009154459478173822 ..................
[CV]  c1=0.3583772704383772, c2=0.009154459478173822, score=0.860520 -   1.6s
[CV] c1=2.174709129302199, c2=0.0010803628734653893 ..................
[CV]  c1=2.174709129302199, c2=0.0010803628734653893, score=0.782769 -   1.7s
[CV] c1=0.8820794921221042, c2=0.02094538965887842 ...................
[CV]  c1=0.8820794921221042, c2=0.02094538965887842, score=0.713619 -   1.4s
[CV] c1=0.0346922655230289, c2=0.024031309659600122 ..................
[CV]  c1=0.0346922655230289, c2=0.024031309659600122, score=0.884351 -   1.7s
[CV] c1=0.2543334983464457, c2=0.09427207248047594 ...................
[CV]  c1=0.2543334983464457, c2=0.09427207248047594, score=0.758510 -   1.4s
[CV] c1=0.1981203607518715, c2=0.06839736418608687 ...................
[CV]  c1=0.1981203607518715, c2=0.06839736418608687, score=0.847247 -   1.9s
[CV] c1=1.7163345892145971, c2=0.03155390872783525 ...................
[CV]  c1=1.7163345892145971, c2=0.03155390872783525, score=0.589456 -   1.3s
[CV] c1=0.1899896232902413, c2=0.014694277535578934 ..................
[CV]  c1=0.1899896232902413, c2=0.014694277535578934, score=0.853194 -   1.8s
[CV] c1=0.03995780755047503, c2=0.15129065645707626 ..................
[CV]  c1=0.03995780755047503, c2=0.15129065645707626, score=0.810739 -   1.9s
[CV] c1=1.7595343438951965, c2=0.03308554738144042 ...................
[CV]  c1=1.7595343438951965, c2=0.03308554738144042, score=0.813122 -   1.6s
[CV] c1=1.148015968352085, c2=0.02146564046200969 ....................
[CV]  c1=1.148015968352085, c2=0.02146564046200969, score=0.631179 -   2.0s
[CV] c1=0.13896111902234232, c2=0.014804829893957247 .................
[CV]  c1=0.13896111902234232, c2=0.014804829893957247, score=0.856458 -   1.7s
[CV] c1=0.465888643485173, c2=0.046194236632630344 ...................
[CV]  c1=0.465888643485173, c2=0.046194236632630344, score=0.774834 -   1.9s
[CV] c1=0.8355878860602035, c2=0.053619037366713834 ..................
[CV]  c1=0.8355878860602035, c2=0.053619037366713834, score=0.672669 -   1.5s
[CV] c1=0.3650845733931715, c2=0.0014320805541254867 .................
[CV]  c1=0.3650845733931715, c2=0.0014320805541254867, score=0.789785 -   1.8s
[CV] c1=0.11287035022772632, c2=0.046108132431820874 .................
[CV]  c1=0.11287035022772632, c2=0.046108132431820874, score=0.744287 -   1.4s
[CV] c1=0.1331449410266928, c2=0.011603425837169896 ..................
[CV]  c1=0.1331449410266928, c2=0.011603425837169896, score=0.891905 -   1.8s
[CV] c1=0.1981203607518715, c2=0.06839736418608687 ...................
[CV]  c1=0.1981203607518715, c2=0.06839736418608687, score=0.880003 -   1.8s
[CV] c1=0.22628484067663185, c2=0.00874842765832918 ..................
[CV]  c1=0.22628484067663185, c2=0.00874842765832918, score=0.850010 -   1.6s
[CV] c1=0.6355400875935387, c2=0.05161536393287852 ...................
[CV]  c1=0.6355400875935387, c2=0.05161536393287852, score=0.843215 -   1.8s
[CV] c1=0.46329276559200777, c2=0.00647620592602479 ..................
[CV]  c1=0.46329276559200777, c2=0.00647620592602479, score=0.871926 -   1.7s
[CV] c1=0.15503120195922482, c2=0.07102096619207778 ..................
[CV]  c1=0.15503120195922482, c2=0.07102096619207778, score=0.850208 -   1.5s
[CV] c1=0.7045873626164005, c2=0.05087604474822136 ...................
[CV]  c1=0.7045873626164005, c2=0.05087604474822136, score=0.882871 -   1.7s
[CV] c1=0.1745883218919492, c2=0.03358809791110844 ...................
[CV]  c1=0.1745883218919492, c2=0.03358809791110844, score=0.897326 -   1.7s
[CV] c1=0.16247154636750877, c2=0.021357087466575872 .................
[CV]  c1=0.16247154636750877, c2=0.021357087466575872, score=0.812268 -   1.8s
[CV] c1=0.2072446573209284, c2=0.020210511209085735 ..................
[CV]  c1=0.2072446573209284, c2=0.020210511209085735, score=0.871475 -   1.7s
[CV] c1=0.015877336081973004, c2=0.028374975602357095 ................
[CV]  c1=0.015877336081973004, c2=0.028374975602357095, score=0.818706 -   1.7s
[CV] c1=0.5027264561420518, c2=0.00324112986719928 ...................
[CV]  c1=0.5027264561420518, c2=0.00324112986719928, score=0.847134 -   1.7s
[CV] c1=0.957085635329358, c2=0.05297575850434083 ....................
[CV]  c1=0.957085635329358, c2=0.05297575850434083, score=0.793034 -   1.8s
[CV] c1=0.14152417346804386, c2=0.10297297565102237 ..................
[CV]  c1=0.14152417346804386, c2=0.10297297565102237, score=0.850208 -   1.7s
[CV] c1=0.8816353898506449, c2=0.12477128457836839 ...................
[CV]  c1=0.8816353898506449, c2=0.12477128457836839, score=0.770644 -   1.6s
[CV] c1=0.0362387461368194, c2=0.0648659311876707 ....................
[CV]  c1=0.0362387461368194, c2=0.0648659311876707, score=0.741115 -   1.3s
[CV] c1=0.7563121199202427, c2=0.040192792234517195 ..................
[CV]  c1=0.7563121199202427, c2=0.040192792234517195, score=0.719200 -   1.3s
[CV] c1=0.017163830476509812, c2=0.03725458345798343 .................
[CV]  c1=0.017163830476509812, c2=0.03725458345798343, score=0.854407 -   1.6s
[CV] c1=0.6822516300426009, c2=0.016793810442886886 ..................
[CV]  c1=0.6822516300426009, c2=0.016793810442886886, score=0.802658 -   1.6s
[CV] c1=0.13896111902234232, c2=0.014804829893957247 .................
[CV]  c1=0.13896111902234232, c2=0.014804829893957247, score=0.802583 -   1.7s
[CV] c1=0.5304515875103292, c2=0.07716413203715912 ...................
[CV]  c1=0.5304515875103292, c2=0.07716413203715912, score=0.736999 -   1.7s
[CV] c1=0.8244083097079254, c2=0.062381754752777796 ..................
[CV]  c1=0.8244083097079254, c2=0.062381754752777796, score=0.865778 -   1.7s
[CV] c1=0.3650845733931715, c2=0.0014320805541254867 .................
[CV]  c1=0.3650845733931715, c2=0.0014320805541254867, score=0.903035 -   1.8s
[CV] c1=0.048620594041621217, c2=0.014896330089527184 ................
[CV]  c1=0.048620594041621217, c2=0.014896330089527184, score=0.803698 -   1.7s
[CV] c1=0.1331449410266928, c2=0.011603425837169896 ..................
[CV]  c1=0.1331449410266928, c2=0.011603425837169896, score=0.845415 -   1.8s
[CV] c1=0.5309384849652224, c2=0.005925064473520925 ..................
[CV]  c1=0.5309384849652224, c2=0.005925064473520925, score=0.889852 -   1.7s
[CV] c1=1.7163345892145971, c2=0.03155390872783525 ...................
[CV]  c1=1.7163345892145971, c2=0.03155390872783525, score=0.631237 -   1.8s
[CV] c1=0.503450784756294, c2=0.05432046431963583 ....................
[CV]  c1=0.503450784756294, c2=0.05432046431963583, score=0.766030 -   1.8s
[CV] c1=0.3674190019840565, c2=0.027981416633197965 ..................
[CV]  c1=0.3674190019840565, c2=0.027981416633197965, score=0.871475 -   1.6s
[CV] c1=0.27026113177460365, c2=0.019497918448436805 .................
[CV]  c1=0.27026113177460365, c2=0.019497918448436805, score=0.752241 -   1.4s
[CV] c1=0.417266103158962, c2=0.0022873475849118185 ..................
[CV]  c1=0.417266103158962, c2=0.0022873475849118185, score=0.842841 -   1.7s
[CV] c1=0.5846632121239267, c2=0.006707933804501518 ..................
[CV]  c1=0.5846632121239267, c2=0.006707933804501518, score=0.816070 -   1.5s
[CV] c1=1.104683572026119, c2=0.03324324473517056 ....................
[CV]  c1=1.104683572026119, c2=0.03324324473517056, score=0.862980 -   1.7s
[CV] c1=0.8355878860602035, c2=0.053619037366713834 ..................
[CV]  c1=0.8355878860602035, c2=0.053619037366713834, score=0.716593 -   1.6s
[CV] c1=1.6051165078126046, c2=0.0036457150511113126 .................
[CV]  c1=1.6051165078126046, c2=0.0036457150511113126, score=0.631237 -   1.8s
[CV] c1=0.11287035022772632, c2=0.046108132431820874 .................
[CV]  c1=0.11287035022772632, c2=0.046108132431820874, score=0.852108 -   1.7s
[CV] c1=0.2543334983464457, c2=0.09427207248047594 ...................
[CV]  c1=0.2543334983464457, c2=0.09427207248047594, score=0.804070 -   1.9s
[CV] c1=0.2815368376192699, c2=0.03549737489764303 ...................
[CV]  c1=0.2815368376192699, c2=0.03549737489764303, score=0.800732 -   1.8s
[CV] c1=0.43728599418900255, c2=0.0012264903123541835 ................
[CV]  c1=0.43728599418900255, c2=0.0012264903123541835, score=0.875558 -   1.6s
[CV] c1=0.7593246679092055, c2=0.10449570932834801 ...................
[CV]  c1=0.7593246679092055, c2=0.10449570932834801, score=0.869377 -   1.8s
[CV] c1=0.33476969645878846, c2=0.003959208216681016 .................
[CV]  c1=0.33476969645878846, c2=0.003959208216681016, score=0.845025 -   1.5s
[CV] c1=0.15503120195922482, c2=0.07102096619207778 ..................
[CV]  c1=0.15503120195922482, c2=0.07102096619207778, score=0.848524 -   1.8s
[CV] c1=1.8109980320366776, c2=0.005568244629705435 ..................
[CV]  c1=1.8109980320366776, c2=0.005568244629705435, score=0.813554 -   1.6s
[CV] c1=0.1745883218919492, c2=0.03358809791110844 ...................
[CV]  c1=0.1745883218919492, c2=0.03358809791110844, score=0.845654 -   1.7s
[CV] c1=0.08636262521679638, c2=0.023409293554498556 .................
[CV]  c1=0.08636262521679638, c2=0.023409293554498556, score=0.752223 -   1.4s
[CV] c1=2.174709129302199, c2=0.0010803628734653893 ..................
[CV]  c1=2.174709129302199, c2=0.0010803628734653893, score=0.567766 -   1.7s
[CV] c1=0.8749007570558784, c2=0.024296078206615362 ..................
[CV]  c1=0.8749007570558784, c2=0.024296078206615362, score=0.704484 -   1.8s
[CV] c1=0.5027264561420518, c2=0.00324112986719928 ...................
[CV]  c1=0.5027264561420518, c2=0.00324112986719928, score=0.888079 -   1.7s
[CV] c1=0.957085635329358, c2=0.05297575850434083 ....................
[CV]  c1=0.957085635329358, c2=0.05297575850434083, score=0.700486 -   1.3s
[CV] c1=0.30058279778898356, c2=0.09943079283590522 ..................
[CV]  c1=0.30058279778898356, c2=0.09943079283590522, score=0.749166 -   1.3s
[CV] c1=1.7163345892145971, c2=0.03155390872783525 ...................
[CV]  c1=1.7163345892145971, c2=0.03155390872783525, score=0.617811 -   1.7s
[CV] c1=0.503450784756294, c2=0.05432046431963583 ....................
[CV]  c1=0.503450784756294, c2=0.05432046431963583, score=0.902132 -   1.7s
[CV] c1=0.3674190019840565, c2=0.027981416633197965 ..................
[CV]  c1=0.3674190019840565, c2=0.027981416633197965, score=0.792479 -   1.7s
[CV] c1=0.5988397958038832, c2=0.02170878192270602 ...................
[CV]  c1=0.5988397958038832, c2=0.02170878192270602, score=0.843215 -   1.7s
[CV] c1=0.3121524625801704, c2=0.026585229796433282 ..................
[CV]  c1=0.3121524625801704, c2=0.026585229796433282, score=0.797835 -   1.7s
[CV] c1=0.15159264473418319, c2=0.2152864486731823 ...................
[CV]  c1=0.15159264473418319, c2=0.2152864486731823, score=0.821616 -   1.7s
[CV] c1=0.16247154636750877, c2=0.021357087466575872 .................
[CV]  c1=0.16247154636750877, c2=0.021357087466575872, score=0.742824 -   1.3s
[CV] c1=0.3313668333609695, c2=0.14244393555546317 ...................
[CV]  c1=0.3313668333609695, c2=0.14244393555546317, score=0.888684 -   1.7s
[CV] c1=1.6376783021095769, c2=0.014747269939862674 ..................
[CV]  c1=1.6376783021095769, c2=0.014747269939862674, score=0.631237 -   1.7s
[CV] c1=0.0346922655230289, c2=0.024031309659600122 ..................
[CV]  c1=0.0346922655230289, c2=0.024031309659600122, score=0.842002 -   1.7s
[CV] c1=0.14411628182685732, c2=0.039715410568266774 .................
[CV]  c1=0.14411628182685732, c2=0.039715410568266774, score=0.810739 -   1.7s
[CV] c1=0.2815368376192699, c2=0.03549737489764303 ...................
[CV]  c1=0.2815368376192699, c2=0.03549737489764303, score=0.871475 -   1.8s
[CV] c1=0.43728599418900255, c2=0.0012264903123541835 ................
[CV]  c1=0.43728599418900255, c2=0.0012264903123541835, score=0.773298 -   1.7s
[CV] c1=0.7593246679092055, c2=0.10449570932834801 ...................
[CV]  c1=0.7593246679092055, c2=0.10449570932834801, score=0.806204 -   1.7s
[CV] c1=0.7563121199202427, c2=0.040192792234517195 ..................
[CV]  c1=0.7563121199202427, c2=0.040192792234517195, score=0.876955 -   1.5s
[CV] c1=1.7595343438951965, c2=0.03308554738144042 ...................
[CV]  c1=1.7595343438951965, c2=0.03308554738144042, score=0.575082 -   1.3s
[CV] c1=0.80274510568114, c2=0.08058249753964383 .....................
[CV]  c1=0.80274510568114, c2=0.08058249753964383, score=0.785985 -   1.6s
[CV] c1=1.8109980320366776, c2=0.005568244629705435 ..................
[CV]  c1=1.8109980320366776, c2=0.005568244629705435, score=0.629056 -   1.8s
[CV] c1=0.050706982028710906, c2=0.4150901503056618 ..................
[CV]  c1=0.050706982028710906, c2=0.4150901503056618, score=0.777186 -   1.8s
[CV] c1=0.5941127680325777, c2=0.0830124617013832 ....................
[CV]  c1=0.5941127680325777, c2=0.0830124617013832, score=0.797758 -   1.6s
[CV] c1=0.5274764504572338, c2=0.03496317590819584 ...................
[CV]  c1=0.5274764504572338, c2=0.03496317590819584, score=0.837656 -   1.6s
[CV] c1=0.07409156196141715, c2=0.05973007347841966 ..................
[CV]  c1=0.07409156196141715, c2=0.05973007347841966, score=0.857120 -   1.5s
[CV] c1=0.33778404132409734, c2=0.046425106380161625 .................
[CV]  c1=0.33778404132409734, c2=0.046425106380161625, score=0.893945 -   1.7s
[CV] c1=0.13638506422514615, c2=0.02423542955017791 ..................
[CV]  c1=0.13638506422514615, c2=0.02423542955017791, score=0.754616 -   1.3s
[CV] c1=0.30058279778898356, c2=0.09943079283590522 ..................
[CV]  c1=0.30058279778898356, c2=0.09943079283590522, score=0.840841 -   1.7s
[CV] c1=0.943232427745016, c2=0.19134766838023964 ....................
[CV]  c1=0.943232427745016, c2=0.19134766838023964, score=0.653185 -   1.4s
[CV] c1=0.7593246679092055, c2=0.10449570932834801 ...................
[CV]  c1=0.7593246679092055, c2=0.10449570932834801, score=0.791792 -   1.7s
[CV] c1=0.33476969645878846, c2=0.003959208216681016 .................
[CV]  c1=0.33476969645878846, c2=0.003959208216681016, score=0.843908 -   1.6s
[CV] c1=0.003968819369969948, c2=0.005625168927681999 ................
[CV]  c1=0.003968819369969948, c2=0.005625168927681999, score=0.838573 -   1.3s
[CV] c1=1.148015968352085, c2=0.02146564046200969 ....................
[CV]  c1=1.148015968352085, c2=0.02146564046200969, score=0.847618 -   1.7s
[CV] c1=0.5674562042045797, c2=0.05758083017018263 ...................
[CV]  c1=0.5674562042045797, c2=0.05758083017018263, score=0.886231 -   1.6s
[CV] c1=0.2697518207949836, c2=0.020874469284586458 ..................
[CV]  c1=0.2697518207949836, c2=0.020874469284586458, score=0.902237 -   1.7s
[CV] c1=0.5941127680325777, c2=0.0830124617013832 ....................
[CV]  c1=0.5941127680325777, c2=0.0830124617013832, score=0.697501 -   1.4s
[CV] c1=0.15454346223546608, c2=0.07156715475979002 ..................
[CV]  c1=0.15454346223546608, c2=0.07156715475979002, score=0.736202 -   1.4s
[CV] c1=0.8820794921221042, c2=0.02094538965887842 ...................
[CV]  c1=0.8820794921221042, c2=0.02094538965887842, score=0.705756 -   1.8s
[CV] c1=0.046619857401030126, c2=0.0244084537000544 ..................
[CV]  c1=0.046619857401030126, c2=0.0244084537000544, score=0.899313 -   1.7s
[CV] c1=0.2805806671868042, c2=0.011461016417251972 ..................
[CV]  c1=0.2805806671868042, c2=0.011461016417251972, score=0.801518 -   1.8s
[CV] c1=0.7140950507042204, c2=0.003944702642806077 ..................
[CV]  c1=0.7140950507042204, c2=0.003944702642806077, score=0.866903 -   1.7s
[CV] c1=0.943232427745016, c2=0.19134766838023964 ....................
[CV]  c1=0.943232427745016, c2=0.19134766838023964, score=0.855601 -   1.7s
[CV] c1=0.727500316990153, c2=0.029427201697196127 ...................
[CV]  c1=0.727500316990153, c2=0.029427201697196127, score=0.725372 -   1.4s
[CV] c1=0.33476969645878846, c2=0.003959208216681016 .................
[CV]  c1=0.33476969645878846, c2=0.003959208216681016, score=0.898256 -   1.7s
[CV] c1=0.27026113177460365, c2=0.019497918448436805 .................
[CV]  c1=0.27026113177460365, c2=0.019497918448436805, score=0.850010 -   1.8s
[CV] c1=0.7045873626164005, c2=0.05087604474822136 ...................
[CV]  c1=0.7045873626164005, c2=0.05087604474822136, score=0.718852 -   1.7s
[CV] c1=0.1745883218919492, c2=0.03358809791110844 ...................
[CV]  c1=0.1745883218919492, c2=0.03358809791110844, score=0.802041 -   1.7s
[CV] c1=0.16247154636750877, c2=0.021357087466575872 .................
[CV]  c1=0.16247154636750877, c2=0.021357087466575872, score=0.855995 -   1.6s
[CV] c1=0.2072446573209284, c2=0.020210511209085735 ..................
[CV]  c1=0.2072446573209284, c2=0.020210511209085735, score=0.890569 -   1.7s
[CV] c1=0.8749007570558784, c2=0.024296078206615362 ..................
[CV]  c1=0.8749007570558784, c2=0.024296078206615362, score=0.713019 -   1.3s
[CV] c1=2.0719836039497093, c2=0.002257616410063974 ..................
[CV]  c1=2.0719836039497093, c2=0.002257616410063974, score=0.809727 -   1.7s
[CV] c1=0.14411628182685732, c2=0.039715410568266774 .................
[CV]  c1=0.14411628182685732, c2=0.039715410568266774, score=0.901717 -   1.7s
[CV] c1=0.2815368376192699, c2=0.03549737489764303 ...................
[CV]  c1=0.2815368376192699, c2=0.03549737489764303, score=0.895808 -   1.7s
[CV] c1=0.6445686175127768, c2=0.031989342395372634 ..................
[CV]  c1=0.6445686175127768, c2=0.031989342395372634, score=0.729626 -   1.7s
[CV] c1=0.503450784756294, c2=0.05432046431963583 ....................
[CV]  c1=0.503450784756294, c2=0.05432046431963583, score=0.863480 -   1.8s
[CV] c1=0.33476969645878846, c2=0.003959208216681016 .................
[CV]  c1=0.33476969645878846, c2=0.003959208216681016, score=0.801518 -   1.7s
[CV] c1=0.5988397958038832, c2=0.02170878192270602 ...................
[CV]  c1=0.5988397958038832, c2=0.02170878192270602, score=0.725645 -   1.3s
[CV] c1=0.02663371044496825, c2=0.07791080822837011 ..................
[CV]  c1=0.02663371044496825, c2=0.07791080822837011, score=0.741115 -   1.3s
[CV] c1=0.13896111902234232, c2=0.014804829893957247 .................
[CV]  c1=0.13896111902234232, c2=0.014804829893957247, score=0.894714 -   1.7s
[CV] c1=0.5304515875103292, c2=0.07716413203715912 ...................
[CV]  c1=0.5304515875103292, c2=0.07716413203715912, score=0.886887 -   1.6s
[CV] c1=0.35594598515720427, c2=0.034194413856528987 .................
[CV]  c1=0.35594598515720427, c2=0.034194413856528987, score=0.726025 -   1.4s
[CV] c1=0.5274764504572338, c2=0.03496317590819584 ...................
[CV]  c1=0.5274764504572338, c2=0.03496317590819584, score=0.760164 -   1.7s
[CV] c1=0.07409156196141715, c2=0.05973007347841966 ..................
[CV]  c1=0.07409156196141715, c2=0.05973007347841966, score=0.830688 -   1.8s
[CV] c1=0.06785525512004466, c2=0.09855851934185335 ..................
[CV]  c1=0.06785525512004466, c2=0.09855851934185335, score=0.745320 -   1.4s
[CV] c1=0.957085635329358, c2=0.05297575850434083 ....................
[CV]  c1=0.957085635329358, c2=0.05297575850434083, score=0.690356 -   1.7s
[CV] c1=0.7140950507042204, c2=0.003944702642806077 ..................
[CV]  c1=0.7140950507042204, c2=0.003944702642806077, score=0.840496 -   1.8s
[CV] c1=0.8816353898506449, c2=0.12477128457836839 ...................
[CV]  c1=0.8816353898506449, c2=0.12477128457836839, score=0.672977 -   1.8s
[CV] c1=0.0362387461368194, c2=0.0648659311876707 ....................
[CV]  c1=0.0362387461368194, c2=0.0648659311876707, score=0.854407 -   1.6s
[CV] c1=0.3125520988268869, c2=0.06658586981108225 ...................
[CV]  c1=0.3125520988268869, c2=0.06658586981108225, score=0.847803 -   1.2s
[CV] c1=0.003968819369969948, c2=0.005625168927681999 ................
[CV]  c1=0.003968819369969948, c2=0.005625168927681999, score=0.750136 -   1.3s
[CV] c1=1.148015968352085, c2=0.02146564046200969 ....................
[CV]  c1=1.148015968352085, c2=0.02146564046200969, score=0.644536 -   1.4s
[CV] c1=1.8109980320366776, c2=0.005568244629705435 ..................
[CV]  c1=1.8109980320366776, c2=0.005568244629705435, score=0.760967 -   1.7s
[CV] c1=0.050706982028710906, c2=0.4150901503056618 ..................
[CV]  c1=0.050706982028710906, c2=0.4150901503056618, score=0.830151 -   1.7s
[CV] c1=0.08636262521679638, c2=0.023409293554498556 .................
[CV]  c1=0.08636262521679638, c2=0.023409293554498556, score=0.851657 -   1.7s
[CV] c1=0.5274764504572338, c2=0.03496317590819584 ...................
[CV]  c1=0.5274764504572338, c2=0.03496317590819584, score=0.721474 -   1.4s
[CV] c1=0.015877336081973004, c2=0.028374975602357095 ................
[CV]  c1=0.015877336081973004, c2=0.028374975602357095, score=0.870485 -   1.7s
[CV] c1=0.5027264561420518, c2=0.00324112986719928 ...................
[CV]  c1=0.5027264561420518, c2=0.00324112986719928, score=0.720226 -   1.4s
[CV] c1=0.2805806671868042, c2=0.011461016417251972 ..................
[CV]  c1=0.2805806671868042, c2=0.011461016417251972, score=0.891905 -   1.7s
[CV] c1=0.30058279778898356, c2=0.09943079283590522 ..................
[CV]  c1=0.30058279778898356, c2=0.09943079283590522, score=0.793020 -   1.8s
[CV] c1=0.43728599418900255, c2=0.0012264903123541835 ................
[CV]  c1=0.43728599418900255, c2=0.0012264903123541835, score=0.862640 -   1.8s
[CV] c1=0.727500316990153, c2=0.029427201697196127 ...................
[CV]  c1=0.727500316990153, c2=0.029427201697196127, score=0.712360 -   1.9s
[CV] c1=0.3125520988268869, c2=0.06658586981108225 ...................
[CV]  c1=0.3125520988268869, c2=0.06658586981108225, score=0.747429 -   1.2s
[CV] c1=0.017163830476509812, c2=0.03725458345798343 .................
[CV]  c1=0.017163830476509812, c2=0.03725458345798343, score=0.735897 -   1.1s
[CV] c1=0.80274510568114, c2=0.08058249753964383 .....................
[CV]  c1=0.80274510568114, c2=0.08058249753964383, score=0.680354 -   1.4s
[CV] c1=0.7045873626164005, c2=0.05087604474822136 ...................
[CV]  c1=0.7045873626164005, c2=0.05087604474822136, score=0.838271 -   1.8s
[CV] c1=0.050706982028710906, c2=0.4150901503056618 ..................
[CV]  c1=0.050706982028710906, c2=0.4150901503056618, score=0.769872 -   1.8s
[CV] c1=0.08636262521679638, c2=0.023409293554498556 .................
[CV]  c1=0.08636262521679638, c2=0.023409293554498556, score=0.856458 -   1.6s
[CV] c1=0.15454346223546608, c2=0.07156715475979002 ..................
[CV]  c1=0.15454346223546608, c2=0.07156715475979002, score=0.850208 -   1.6s
[CV] c1=0.015877336081973004, c2=0.028374975602357095 ................
[CV]  c1=0.015877336081973004, c2=0.028374975602357095, score=0.856057 -   1.8s
[CV] c1=0.33778404132409734, c2=0.046425106380161625 .................
[CV]  c1=0.33778404132409734, c2=0.046425106380161625, score=0.871475 -   1.7s
[CV] c1=0.5572477077363913, c2=0.09090814628575158 ...................
[CV]  c1=0.5572477077363913, c2=0.09090814628575158, score=0.728908 -   1.4s
[CV] c1=0.14152417346804386, c2=0.10297297565102237 ..................
[CV]  c1=0.14152417346804386, c2=0.10297297565102237, score=0.902104 -   1.7s
[CV] c1=0.8816353898506449, c2=0.12477128457836839 ...................
[CV]  c1=0.8816353898506449, c2=0.12477128457836839, score=0.668804 -   1.4s
[CV] c1=0.727500316990153, c2=0.029427201697196127 ...................
[CV]  c1=0.727500316990153, c2=0.029427201697196127, score=0.873118 -   1.7s
[CV] c1=0.7563121199202427, c2=0.040192792234517195 ..................
[CV]  c1=0.7563121199202427, c2=0.040192792234517195, score=0.718852 -   1.6s
[CV] c1=0.003968819369969948, c2=0.005625168927681999 ................
[CV]  c1=0.003968819369969948, c2=0.005625168927681999, score=0.784773 -   1.4s
[CV] c1=1.148015968352085, c2=0.02146564046200969 ....................
[CV]  c1=1.148015968352085, c2=0.02146564046200969, score=0.647978 -   1.8s
[CV] c1=0.13896111902234232, c2=0.014804829893957247 .................
[CV]  c1=0.13896111902234232, c2=0.014804829893957247, score=0.747274 -   1.4s
[CV] c1=0.2697518207949836, c2=0.020874469284586458 ..................
[CV]  c1=0.2697518207949836, c2=0.020874469284586458, score=0.847803 -   1.7s
[CV] c1=0.5941127680325777, c2=0.0830124617013832 ....................
[CV]  c1=0.5941127680325777, c2=0.0830124617013832, score=0.723395 -   1.7s
[CV] c1=0.584624469849229, c2=0.06368505765174141 ....................
[CV]  c1=0.584624469849229, c2=0.06368505765174141, score=0.880103 -   1.8s
[CV] c1=0.04287688421071093, c2=0.027085651004806 ....................
[CV]  c1=0.04287688421071093, c2=0.027085651004806, score=0.821138 -   1.7s
[CV] c1=0.06785525512004466, c2=0.09855851934185335 ..................
[CV]  c1=0.06785525512004466, c2=0.09855851934185335, score=0.858847 -   1.8s
[CV] c1=0.1981203607518715, c2=0.06839736418608687 ...................
[CV]  c1=0.1981203607518715, c2=0.06839736418608687, score=0.744639 -   1.4s
[CV] c1=0.14152417346804386, c2=0.10297297565102237 ..................
[CV]  c1=0.14152417346804386, c2=0.10297297565102237, score=0.843290 -   1.8s
[CV] c1=0.63997401231351, c2=0.07254336722825792 .....................
[CV]  c1=0.63997401231351, c2=0.07254336722825792, score=0.733484 -   1.4s
[CV] c1=0.0362387461368194, c2=0.0648659311876707 ....................
[CV]  c1=0.0362387461368194, c2=0.0648659311876707, score=0.904091 -   1.6s
[CV] c1=0.3125520988268869, c2=0.06658586981108225 ...................
[CV]  c1=0.3125520988268869, c2=0.06658586981108225, score=0.905795 -   1.4s
[CV] c1=1.0368070170763946, c2=0.02272506134426267 ...................
[CV]  c1=1.0368070170763946, c2=0.02272506134426267, score=0.858671 -   1.4s
[CV] c1=0.02663371044496825, c2=0.07791080822837011 ..................
[CV]  c1=0.02663371044496825, c2=0.07791080822837011, score=0.904091 -   1.7s
[CV] c1=0.9033108631757741, c2=0.04144370851511187 ...................
[CV]  c1=0.9033108631757741, c2=0.04144370851511187, score=0.700247 -   1.7s
[CV] c1=0.465888643485173, c2=0.046194236632630344 ...................
[CV]  c1=0.465888643485173, c2=0.046194236632630344, score=0.867533 -   1.7s
[CV] c1=0.8244083097079254, c2=0.062381754752777796 ..................
[CV]  c1=0.8244083097079254, c2=0.062381754752777796, score=0.831950 -   1.8s
[CV] c1=1.6051165078126046, c2=0.0036457150511113126 .................
[CV]  c1=1.6051165078126046, c2=0.0036457150511113126, score=0.724928 -   1.6s
[CV] c1=0.11287035022772632, c2=0.046108132431820874 .................
[CV]  c1=0.11287035022772632, c2=0.046108132431820874, score=0.901717 -   1.6s
[CV] c1=0.06813298747485523, c2=0.09831614256766986 ..................
[CV]  c1=0.06813298747485523, c2=0.09831614256766986, score=0.745320 -   1.4s
[CV] c1=0.5572477077363913, c2=0.09090814628575158 ...................
[CV]  c1=0.5572477077363913, c2=0.09090814628575158, score=0.851886 -   1.7s
[CV] c1=0.026462514149351694, c2=0.05778806259859029 .................
[CV]  c1=0.026462514149351694, c2=0.05778806259859029, score=0.746792 -   1.4s
[CV] c1=0.63997401231351, c2=0.07254336722825792 .....................
[CV]  c1=0.63997401231351, c2=0.07254336722825792, score=0.877603 -   1.8s
[CV] c1=0.6236807940168347, c2=0.030620042365656533 ..................
[CV]  c1=0.6236807940168347, c2=0.030620042365656533, score=0.720847 -   1.3s
[CV] c1=0.7563121199202427, c2=0.040192792234517195 ..................
[CV]  c1=0.7563121199202427, c2=0.040192792234517195, score=0.831950 -   1.5s
[CV] c1=0.1886782580100401, c2=0.01941285181260449 ...................
[CV]  c1=0.1886782580100401, c2=0.01941285181260449, score=0.740074 -   1.5s
[CV] c1=0.6822516300426009, c2=0.016793810442886886 ..................
[CV]  c1=0.6822516300426009, c2=0.016793810442886886, score=0.730441 -   1.8s
[CV] c1=0.9033108631757741, c2=0.04144370851511187 ...................
[CV]  c1=0.9033108631757741, c2=0.04144370851511187, score=0.721289 -   1.3s
[CV] c1=0.2697518207949836, c2=0.020874469284586458 ..................
[CV]  c1=0.2697518207949836, c2=0.020874469284586458, score=0.827236 -   1.8s
[CV] c1=0.35594598515720427, c2=0.034194413856528987 .................
[CV]  c1=0.35594598515720427, c2=0.034194413856528987, score=0.787092 -   1.7s
[CV] c1=0.584624469849229, c2=0.06368505765174141 ....................
[CV]  c1=0.584624469849229, c2=0.06368505765174141, score=0.812061 -   1.8s
[CV] c1=0.048620594041621217, c2=0.014896330089527184 ................
[CV]  c1=0.048620594041621217, c2=0.014896330089527184, score=0.743614 -   1.4s
[CV] c1=0.06785525512004466, c2=0.09855851934185335 ..................
[CV]  c1=0.06785525512004466, c2=0.09855851934185335, score=0.902104 -   1.7s
[CV] c1=0.5572477077363913, c2=0.09090814628575158 ...................
[CV]  c1=0.5572477077363913, c2=0.09090814628575158, score=0.880103 -   1.7s
[CV] c1=0.35562899070554127, c2=0.014769859660546517 .................
[CV]  c1=0.35562899070554127, c2=0.014769859660546517, score=0.730506 -   1.4s
[CV] c1=0.943232427745016, c2=0.19134766838023964 ....................
[CV]  c1=0.943232427745016, c2=0.19134766838023964, score=0.670064 -   2.0s
[CV] c1=0.6236807940168347, c2=0.030620042365656533 ..................
[CV]  c1=0.6236807940168347, c2=0.030620042365656533, score=0.875056 -   1.7s
[CV] c1=0.04885030197223766, c2=0.0993449312493818 ...................
[CV]  c1=0.04885030197223766, c2=0.0993449312493818, score=0.740187 -   1.2s
[CV] c1=0.003968819369969948, c2=0.005625168927681999 ................
[CV]  c1=0.003968819369969948, c2=0.005625168927681999, score=0.866787 -   1.5s
[CV] c1=1.148015968352085, c2=0.02146564046200969 ....................
[CV]  c1=1.148015968352085, c2=0.02146564046200969, score=0.765884 -   1.6s
[CV] c1=0.5674562042045797, c2=0.05758083017018263 ...................
[CV]  c1=0.5674562042045797, c2=0.05758083017018263, score=0.736999 -   2.0s
[CV] c1=0.465888643485173, c2=0.046194236632630344 ...................
[CV]  c1=0.465888643485173, c2=0.046194236632630344, score=0.895715 -   1.7s
[CV] c1=0.8244083097079254, c2=0.062381754752777796 ..................
[CV]  c1=0.8244083097079254, c2=0.062381754752777796, score=0.703827 -   1.7s
[CV] c1=0.3650845733931715, c2=0.0014320805541254867 .................
[CV]  c1=0.3650845733931715, c2=0.0014320805541254867, score=0.722230 -   1.4s
[CV] c1=0.04287688421071093, c2=0.027085651004806 ....................
[CV]  c1=0.04287688421071093, c2=0.027085651004806, score=0.754075 -   1.4s
[CV] c1=0.33778404132409734, c2=0.046425106380161625 .................
[CV]  c1=0.33778404132409734, c2=0.046425106380161625, score=0.732473 -   1.4s
[CV] c1=0.2805806671868042, c2=0.011461016417251972 ..................
[CV]  c1=0.2805806671868042, c2=0.011461016417251972, score=0.853194 -   1.8s
[CV] c1=0.7140950507042204, c2=0.003944702642806077 ..................
[CV]  c1=0.7140950507042204, c2=0.003944702642806077, score=0.799091 -   1.6s
[CV] c1=0.943232427745016, c2=0.19134766838023964 ....................
[CV]  c1=0.943232427745016, c2=0.19134766838023964, score=0.769500 -   1.6s
[CV] c1=0.727500316990153, c2=0.029427201697196127 ...................
[CV]  c1=0.727500316990153, c2=0.029427201697196127, score=0.812888 -   1.7s
[CV] c1=0.7563121199202427, c2=0.040192792234517195 ..................
[CV]  c1=0.7563121199202427, c2=0.040192792234517195, score=0.785985 -   1.5s
[CV] c1=1.7595343438951965, c2=0.03308554738144042 ...................
[CV]  c1=1.7595343438951965, c2=0.03308554738144042, score=0.631237 -   1.4s
[CV] c1=0.80274510568114, c2=0.08058249753964383 .....................
[CV]  c1=0.80274510568114, c2=0.08058249753964383, score=0.831950 -   1.8s
[CV] c1=0.5674562042045797, c2=0.05758083017018263 ...................
[CV]  c1=0.5674562042045797, c2=0.05758083017018263, score=0.812304 -   1.6s
[CV] c1=0.2697518207949836, c2=0.020874469284586458 ..................
[CV]  c1=0.2697518207949836, c2=0.020874469284586458, score=0.804109 -   1.8s
[CV] c1=0.35594598515720427, c2=0.034194413856528987 .................
[CV]  c1=0.35594598515720427, c2=0.034194413856528987, score=0.900374 -   1.7s
[CV] c1=0.584624469849229, c2=0.06368505765174141 ....................
[CV]  c1=0.584624469849229, c2=0.06368505765174141, score=0.728908 -   1.4s
[CV] c1=0.07409156196141715, c2=0.05973007347841966 ..................
[CV]  c1=0.07409156196141715, c2=0.05973007347841966, score=0.904091 -   1.7s
[CV] c1=0.33778404132409734, c2=0.046425106380161625 .................
[CV]  c1=0.33778404132409734, c2=0.046425106380161625, score=0.847803 -   1.7s
[CV] c1=0.13638506422514615, c2=0.02423542955017791 ..................
[CV]  c1=0.13638506422514615, c2=0.02423542955017791, score=0.855995 -   1.6s
[CV] c1=0.14152417346804386, c2=0.10297297565102237 ..................
[CV]  c1=0.14152417346804386, c2=0.10297297565102237, score=0.804667 -   1.7s
[CV] c1=0.8816353898506449, c2=0.12477128457836839 ...................
[CV]  c1=0.8816353898506449, c2=0.12477128457836839, score=0.667663 -   2.0s
[CV] c1=1.5746930236004948, c2=0.03256963628236275 ...................
[CV]  c1=1.5746930236004948, c2=0.03256963628236275, score=0.609448 -   1.4s
[CV] c1=0.04885030197223766, c2=0.0993449312493818 ...................
[CV]  c1=0.04885030197223766, c2=0.0993449312493818, score=0.892739 -   1.3s
[CV] c1=1.7595343438951965, c2=0.03308554738144042 ...................
[CV]  c1=1.7595343438951965, c2=0.03308554738144042, score=0.762956 -   1.3s
[CV] c1=0.80274510568114, c2=0.08058249753964383 .....................
[CV]  c1=0.80274510568114, c2=0.08058249753964383, score=0.711374 -   1.7s
[CV] c1=1.8109980320366776, c2=0.005568244629705435 ..................
[CV]  c1=1.8109980320366776, c2=0.005568244629705435, score=0.614961 -   1.8s
[CV] c1=0.2697518207949836, c2=0.020874469284586458 ..................
[CV]  c1=0.2697518207949836, c2=0.020874469284586458, score=0.752851 -   1.5s
[CV] c1=0.08636262521679638, c2=0.023409293554498556 .................
[CV]  c1=0.08636262521679638, c2=0.023409293554498556, score=0.810739 -   1.8s
[CV] c1=0.5274764504572338, c2=0.03496317590819584 ...................
[CV]  c1=0.5274764504572338, c2=0.03496317590819584, score=0.888973 -   1.7s
[CV] c1=0.07409156196141715, c2=0.05973007347841966 ..................
[CV]  c1=0.07409156196141715, c2=0.05973007347841966, score=0.743158 -   1.4s
[CV] c1=0.046619857401030126, c2=0.0244084537000544 ..................
[CV]  c1=0.046619857401030126, c2=0.0244084537000544, score=0.803403 -   1.8s
[CV] c1=0.957085635329358, c2=0.05297575850434083 ....................
[CV]  c1=0.957085635329358, c2=0.05297575850434083, score=0.796214 -   1.6s
[CV] c1=0.7140950507042204, c2=0.003944702642806077 ..................
[CV]  c1=0.7140950507042204, c2=0.003944702642806077, score=0.722964 -   1.8s
[CV] c1=0.8816353898506449, c2=0.12477128457836839 ...................
[CV]  c1=0.8816353898506449, c2=0.12477128457836839, score=0.865100 -   1.7s
[CV] c1=0.0362387461368194, c2=0.0648659311876707 ....................
[CV]  c1=0.0362387461368194, c2=0.0648659311876707, score=0.818706 -   1.8s
[CV] c1=0.3125520988268869, c2=0.06658586981108225 ...................
[CV]  c1=0.3125520988268869, c2=0.06658586981108225, score=0.834656 -   1.4s
[CV] c1=1.0368070170763946, c2=0.02272506134426267 ...................
[CV]  c1=1.0368070170763946, c2=0.02272506134426267, score=0.787121 -   1.6s
[CV] c1=0.417266103158962, c2=0.0022873475849118185 ..................
[CV]  c1=0.417266103158962, c2=0.0022873475849118185, score=0.789785 -   1.7s
[CV] c1=0.5846632121239267, c2=0.006707933804501518 ..................
[CV]  c1=0.5846632121239267, c2=0.006707933804501518, score=0.843215 -   1.8s
[CV] c1=0.6283459111510131, c2=0.02819715364919467 ...................
[CV]  c1=0.6283459111510131, c2=0.02819715364919467, score=0.733509 -   1.3s
[CV] c1=0.8355878860602035, c2=0.053619037366713834 ..................
[CV]  c1=0.8355878860602035, c2=0.053619037366713834, score=0.870502 -   1.7s
[CV] c1=1.6051165078126046, c2=0.0036457150511113126 .................
[CV]  c1=1.6051165078126046, c2=0.0036457150511113126, score=0.606042 -   1.3s
[CV] c1=0.04287688421071093, c2=0.027085651004806 ....................
[CV]  c1=0.04287688421071093, c2=0.027085651004806, score=0.863370 -   1.6s
[CV] c1=0.06785525512004466, c2=0.09855851934185335 ..................
[CV]  c1=0.06785525512004466, c2=0.09855851934185335, score=0.810739 -   1.7s
[CV] c1=0.1981203607518715, c2=0.06839736418608687 ...................
[CV]  c1=0.1981203607518715, c2=0.06839736418608687, score=0.901717 -   1.6s
[CV] c1=0.026462514149351694, c2=0.05778806259859029 .................
[CV]  c1=0.026462514149351694, c2=0.05778806259859029, score=0.895301 -   1.7s
[CV] c1=0.1899896232902413, c2=0.014694277535578934 ..................
[CV]  c1=0.1899896232902413, c2=0.014694277535578934, score=0.740066 -   1.4s
[CV] c1=0.0362387461368194, c2=0.0648659311876707 ....................
[CV]  c1=0.0362387461368194, c2=0.0648659311876707, score=0.832746 -   1.7s
[CV] c1=0.04885030197223766, c2=0.0993449312493818 ...................
[CV]  c1=0.04885030197223766, c2=0.0993449312493818, score=0.818706 -   1.3s
[CV] c1=0.5988397958038832, c2=0.02170878192270602 ...................
[CV]  c1=0.5988397958038832, c2=0.02170878192270602, score=0.882857 -   1.7s
[CV] c1=0.417266103158962, c2=0.0022873475849118185 ..................
[CV]  c1=0.417266103158962, c2=0.0022873475849118185, score=0.839408 -   1.7s
[CV] c1=0.40023724599186616, c2=0.0876610825061677 ...................
[CV]  c1=0.40023724599186616, c2=0.0876610825061677, score=0.831651 -   1.7s
[CV] c1=0.6283459111510131, c2=0.02819715364919467 ...................
[CV]  c1=0.6283459111510131, c2=0.02819715364919467, score=0.885370 -   1.7s
[CV] c1=0.3313668333609695, c2=0.14244393555546317 ...................
[CV]  c1=0.3313668333609695, c2=0.14244393555546317, score=0.717686 -   1.4s
[CV] c1=0.3650845733931715, c2=0.0014320805541254867 .................
[CV]  c1=0.3650845733931715, c2=0.0014320805541254867, score=0.871475 -   1.8s
[CV] c1=0.11287035022772632, c2=0.046108132431820874 .................
[CV]  c1=0.11287035022772632, c2=0.046108132431820874, score=0.810739 -   1.7s
[CV] c1=0.06813298747485523, c2=0.09831614256766986 ..................
[CV]  c1=0.06813298747485523, c2=0.09831614256766986, score=0.827512 -   1.7s
[CV] c1=0.5309384849652224, c2=0.005925064473520925 ..................
[CV]  c1=0.5309384849652224, c2=0.005925064473520925, score=0.722414 -   1.5s
[CV] c1=0.026462514149351694, c2=0.05778806259859029 .................
[CV]  c1=0.026462514149351694, c2=0.05778806259859029, score=0.833984 -   1.7s
[CV] c1=0.6355400875935387, c2=0.05161536393287852 ...................
[CV]  c1=0.6355400875935387, c2=0.05161536393287852, score=0.720226 -   1.3s
[CV] c1=0.6236807940168347, c2=0.030620042365656533 ..................
[CV]  c1=0.6236807940168347, c2=0.030620042365656533, score=0.738915 -   1.8s
[CV] c1=0.10136473877282383, c2=0.05834806590053039 ..................
[CV]  c1=0.10136473877282383, c2=0.05834806590053039, score=0.734978 -   1.1s
[CV] c1=0.5988397958038832, c2=0.02170878192270602 ...................
[CV]  c1=0.5988397958038832, c2=0.02170878192270602, score=0.740637 -   1.7s
[CV] c1=0.3121524625801704, c2=0.026585229796433282 ..................
[CV]  c1=0.3121524625801704, c2=0.026585229796433282, score=0.900374 -   1.6s
[CV] c1=0.15159264473418319, c2=0.2152864486731823 ...................
[CV]  c1=0.15159264473418319, c2=0.2152864486731823, score=0.758232 -   1.2s
[CV] c1=1.104683572026119, c2=0.03324324473517056 ....................
[CV]  c1=1.104683572026119, c2=0.03324324473517056, score=0.653193 -   1.3s
[CV] c1=0.35594598515720427, c2=0.034194413856528987 .................
[CV]  c1=0.35594598515720427, c2=0.034194413856528987, score=0.853194 -   1.6s
[CV] c1=0.584624469849229, c2=0.06368505765174141 ....................
[CV]  c1=0.584624469849229, c2=0.06368505765174141, score=0.826036 -   1.8s
[CV] c1=0.048620594041621217, c2=0.014896330089527184 ................
[CV]  c1=0.048620594041621217, c2=0.014896330089527184, score=0.875847 -   1.7s
[CV] c1=0.1331449410266928, c2=0.011603425837169896 ..................
[CV]  c1=0.1331449410266928, c2=0.011603425837169896, score=0.747956 -   1.3s
[CV] c1=0.13638506422514615, c2=0.02423542955017791 ..................
[CV]  c1=0.13638506422514615, c2=0.02423542955017791, score=0.881169 -   1.8s
[CV] c1=0.35562899070554127, c2=0.014769859660546517 .................
[CV]  c1=0.35562899070554127, c2=0.014769859660546517, score=0.804224 -   1.8s
[CV] c1=0.1899896232902413, c2=0.014694277535578934 ..................
[CV]  c1=0.1899896232902413, c2=0.014694277535578934, score=0.892703 -   1.7s
[CV] c1=1.5746930236004948, c2=0.03256963628236275 ...................
[CV]  c1=1.5746930236004948, c2=0.03256963628236275, score=0.834747 -   1.7s
[CV] c1=0.10136473877282383, c2=0.05834806590053039 ..................
[CV]  c1=0.10136473877282383, c2=0.05834806590053039, score=0.896900 -   1.2s
[CV] c1=1.7595343438951965, c2=0.03308554738144042 ...................
[CV]  c1=1.7595343438951965, c2=0.03308554738144042, score=0.590124 -   1.2s
[CV] c1=0.80274510568114, c2=0.08058249753964383 .....................
[CV]  c1=0.80274510568114, c2=0.08058249753964383, score=0.855948 -   1.7s
[CV] c1=1.8109980320366776, c2=0.005568244629705435 ..................
[CV]  c1=1.8109980320366776, c2=0.005568244629705435, score=0.592887 -   1.5s
[CV] c1=0.1745883218919492, c2=0.03358809791110844 ...................
[CV]  c1=0.1745883218919492, c2=0.03358809791110844, score=0.850208 -   1.8s
[CV] c1=0.08636262521679638, c2=0.023409293554498556 .................
[CV]  c1=0.08636262521679638, c2=0.023409293554498556, score=0.896513 -   1.7s
[CV] c1=0.15454346223546608, c2=0.07156715475979002 ..................
[CV]  c1=0.15454346223546608, c2=0.07156715475979002, score=0.810739 -   1.7s
[CV] c1=0.015877336081973004, c2=0.028374975602357095 ................
[CV]  c1=0.015877336081973004, c2=0.028374975602357095, score=0.860657 -   1.7s
[CV] c1=0.5027264561420518, c2=0.00324112986719928 ...................
[CV]  c1=0.5027264561420518, c2=0.00324112986719928, score=0.863060 -   1.8s
[CV] c1=0.13638506422514615, c2=0.02423542955017791 ..................
[CV]  c1=0.13638506422514615, c2=0.02423542955017791, score=0.810739 -   1.8s
[CV] c1=0.35562899070554127, c2=0.014769859660546517 .................
[CV]  c1=0.35562899070554127, c2=0.014769859660546517, score=0.897844 -   1.7s
[CV] c1=0.63997401231351, c2=0.07254336722825792 .....................
[CV]  c1=0.63997401231351, c2=0.07254336722825792, score=0.723197 -   1.7s
[CV] c1=0.6236807940168347, c2=0.030620042365656533 ..................
[CV]  c1=0.6236807940168347, c2=0.030620042365656533, score=0.802658 -   1.7s
[CV] c1=0.04885030197223766, c2=0.0993449312493818 ...................
[CV]  c1=0.04885030197223766, c2=0.0993449312493818, score=0.852159 -   1.2s
[CV] c1=1.0368070170763946, c2=0.02272506134426267 ...................
[CV]  c1=1.0368070170763946, c2=0.02272506134426267, score=0.659933 -   1.9s
[CV] c1=0.2152516299841801, c2=0.0015516175723159218 .................
[CV]  c1=0.2152516299841801, c2=0.0015516175723159218, score=0.861772 -   1.8s
[CV] c1=0.15159264473418319, c2=0.2152864486731823 ...................
[CV]  c1=0.15159264473418319, c2=0.2152864486731823, score=0.852159 -   1.6s
[CV] c1=0.3583772704383772, c2=0.009154459478173822 ..................
[CV]  c1=0.3583772704383772, c2=0.009154459478173822, score=0.797835 -   1.8s
[CV] c1=0.2072446573209284, c2=0.020210511209085735 ..................
[CV]  c1=0.2072446573209284, c2=0.020210511209085735, score=0.810499 -   1.7s
[CV] c1=0.8749007570558784, c2=0.024296078206615362 ..................
[CV]  c1=0.8749007570558784, c2=0.024296078206615362, score=0.734576 -   1.8s
[CV] c1=0.5027264561420518, c2=0.00324112986719928 ...................
[CV]  c1=0.5027264561420518, c2=0.00324112986719928, score=0.786955 -   1.8s
[CV] c1=0.13638506422514615, c2=0.02423542955017791 ..................
[CV]  c1=0.13638506422514615, c2=0.02423542955017791, score=0.901717 -   1.7s
[CV] c1=0.14152417346804386, c2=0.10297297565102237 ..................
[CV]  c1=0.14152417346804386, c2=0.10297297565102237, score=0.730800 -   1.4s
[CV] c1=0.943232427745016, c2=0.19134766838023964 ....................
[CV]  c1=0.943232427745016, c2=0.19134766838023964, score=0.635557 -   1.7s
[CV] c1=0.727500316990153, c2=0.029427201697196127 ...................
[CV]  c1=0.727500316990153, c2=0.029427201697196127, score=0.840496 -   1.8s
[CV] c1=0.3125520988268869, c2=0.06658586981108225 ...................
[CV]  c1=0.3125520988268869, c2=0.06658586981108225, score=0.792804 -   1.5s
[CV] c1=0.017163830476509812, c2=0.03725458345798343 .................
[CV]  c1=0.017163830476509812, c2=0.03725458345798343, score=0.794611 -   1.7s
[CV] c1=0.02663371044496825, c2=0.07791080822837011 ..................
[CV]  c1=0.02663371044496825, c2=0.07791080822837011, score=0.854407 -   1.6s
[CV] c1=0.9033108631757741, c2=0.04144370851511187 ...................
[CV]  c1=0.9033108631757741, c2=0.04144370851511187, score=0.785985 -   1.4s
[CV] c1=0.5304515875103292, c2=0.07716413203715912 ...................
[CV]  c1=0.5304515875103292, c2=0.07716413203715912, score=0.735451 -   1.4s
[CV] c1=0.5941127680325777, c2=0.0830124617013832 ....................
[CV]  c1=0.5941127680325777, c2=0.0830124617013832, score=0.877603 -   1.6s
[CV] c1=0.15454346223546608, c2=0.07156715475979002 ..................
[CV]  c1=0.15454346223546608, c2=0.07156715475979002, score=0.846875 -   1.8s
[CV] c1=0.07409156196141715, c2=0.05973007347841966 ..................
[CV]  c1=0.07409156196141715, c2=0.05973007347841966, score=0.810739 -   1.7s
[CV] c1=0.33778404132409734, c2=0.046425106380161625 .................
[CV]  c1=0.33778404132409734, c2=0.046425106380161625, score=0.797835 -   1.9s
[CV] c1=0.5572477077363913, c2=0.09090814628575158 ...................
[CV]  c1=0.5572477077363913, c2=0.09090814628575158, score=0.791792 -   1.8s
[CV] c1=0.026462514149351694, c2=0.05778806259859029 .................
[CV]  c1=0.026462514149351694, c2=0.05778806259859029, score=0.818706 -   1.7s
[CV] c1=0.6355400875935387, c2=0.05161536393287852 ...................
[CV]  c1=0.6355400875935387, c2=0.05161536393287852, score=0.884726 -   1.7s
[CV] c1=0.03995780755047503, c2=0.15129065645707626 ..................
[CV]  c1=0.03995780755047503, c2=0.15129065645707626, score=0.743491 -   1.4s
[CV] c1=0.04885030197223766, c2=0.0993449312493818 ...................
[CV]  c1=0.04885030197223766, c2=0.0993449312493818, score=0.817779 -   1.3s
[CV] c1=0.1886782580100401, c2=0.01941285181260449 ...................
[CV]  c1=0.1886782580100401, c2=0.01941285181260449, score=0.895773 -   1.6s
[CV] c1=0.02663371044496825, c2=0.07791080822837011 ..................
[CV]  c1=0.02663371044496825, c2=0.07791080822837011, score=0.818706 -   1.7s
[CV] c1=0.9033108631757741, c2=0.04144370851511187 ...................
[CV]  c1=0.9033108631757741, c2=0.04144370851511187, score=0.831950 -   1.9s
[CV] c1=1.104683572026119, c2=0.03324324473517056 ....................
[CV]  c1=1.104683572026119, c2=0.03324324473517056, score=0.759507 -   1.6s
[CV] c1=0.8355878860602035, c2=0.053619037366713834 ..................
[CV]  c1=0.8355878860602035, c2=0.053619037366713834, score=0.791699 -   1.6s
[CV] c1=1.6051165078126046, c2=0.0036457150511113126 .................
[CV]  c1=1.6051165078126046, c2=0.0036457150511113126, score=0.586573 -   1.7s
[CV] c1=0.0346922655230289, c2=0.024031309659600122 ..................
[CV]  c1=0.0346922655230289, c2=0.024031309659600122, score=0.745674 -   1.4s
[CV] c1=0.06813298747485523, c2=0.09831614256766986 ..................
[CV]  c1=0.06813298747485523, c2=0.09831614256766986, score=0.893314 -   1.7s
[CV] c1=0.4028605423011327, c2=0.0025669154627623062 .................
[CV]  c1=0.4028605423011327, c2=0.0025669154627623062, score=0.726354 -   1.4s
[CV] c1=0.35562899070554127, c2=0.014769859660546517 .................
[CV]  c1=0.35562899070554127, c2=0.014769859660546517, score=0.842841 -   1.7s
[CV] c1=0.63997401231351, c2=0.07254336722825792 .....................
[CV]  c1=0.63997401231351, c2=0.07254336722825792, score=0.792392 -   1.7s
[CV] c1=0.6236807940168347, c2=0.030620042365656533 ..................
[CV]  c1=0.6236807940168347, c2=0.030620042365656533, score=0.843215 -   1.8s
[CV] c1=0.10136473877282383, c2=0.05834806590053039 ..................
[CV]  c1=0.10136473877282383, c2=0.05834806590053039, score=0.850208 -   1.1s
[CV] c1=0.1886782580100401, c2=0.01941285181260449 ...................
[CV]  c1=0.1886782580100401, c2=0.01941285181260449, score=0.810739 -   1.7s
[CV] c1=0.417266103158962, c2=0.0022873475849118185 ..................
[CV]  c1=0.417266103158962, c2=0.0022873475849118185, score=0.719611 -   1.4s
[CV] c1=0.13896111902234232, c2=0.014804829893957247 .................
[CV]  c1=0.13896111902234232, c2=0.014804829893957247, score=0.874863 -   1.8s
[CV] c1=0.465888643485173, c2=0.046194236632630344 ...................
[CV]  c1=0.465888643485173, c2=0.046194236632630344, score=0.842595 -   1.7s
[CV] c1=0.8244083097079254, c2=0.062381754752777796 ..................
[CV]  c1=0.8244083097079254, c2=0.062381754752777796, score=0.785985 -   1.7s
[CV] c1=0.3650845733931715, c2=0.0014320805541254867 .................
[CV]  c1=0.3650845733931715, c2=0.0014320805541254867, score=0.860647 -   1.6s
[CV] c1=0.048620594041621217, c2=0.014896330089527184 ................
[CV]  c1=0.048620594041621217, c2=0.014896330089527184, score=0.856458 -   1.6s
[CV] c1=0.1331449410266928, c2=0.011603425837169896 ..................
[CV]  c1=0.1331449410266928, c2=0.011603425837169896, score=0.859284 -   1.6s
[CV] c1=0.1981203607518715, c2=0.06839736418608687 ...................
[CV]  c1=0.1981203607518715, c2=0.06839736418608687, score=0.798358 -   1.7s
[CV] c1=0.026462514149351694, c2=0.05778806259859029 .................
[CV]  c1=0.026462514149351694, c2=0.05778806259859029, score=0.854407 -   1.6s
[CV] c1=0.1899896232902413, c2=0.014694277535578934 ..................
[CV]  c1=0.1899896232902413, c2=0.014694277535578934, score=0.865898 -   1.7s
[CV] c1=1.5746930236004948, c2=0.03256963628236275 ...................
[CV]  c1=1.5746930236004948, c2=0.03256963628236275, score=0.762848 -   1.6s
[CV] c1=0.10136473877282383, c2=0.05834806590053039 ..................
[CV]  c1=0.10136473877282383, c2=0.05834806590053039, score=0.818706 -   1.2s
Training done in: 23.694233s
     Saving training model...
        Saving training model done in: 0.013196s
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Prediction done in: 0.038161s