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

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Run16_v13.txt 65.8 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: Run16
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: TrueS4: True
Run variant: 13
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003691s
-------------------------------- 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       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
22     -1:ner        _
23     +1:ner      MED
24     -2:ner        _
25     +2:ner      MED
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10  lemma[:1]           d
11  lemma[:2]          de
12       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
23     -1:ner           _
24     +1:ner           _
25     -2:ner           _
26     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.017558988160237286, c2=0.01678386664685832 .................
[CV]  c1=0.017558988160237286, c2=0.01678386664685832, score=0.860031 -   1.5s
[CV] c1=0.2650897069163686, c2=0.11179717290281543 ...................
[CV]  c1=0.2650897069163686, c2=0.11179717290281543, score=0.750061 -   1.6s
[CV] c1=0.3302917103842651, c2=0.01439899910204362 ...................
[CV]  c1=0.3302917103842651, c2=0.01439899910204362, score=0.861876 -   1.8s
[CV] c1=0.04461843019130379, c2=0.05337193403657713 ..................
[CV]  c1=0.04461843019130379, c2=0.05337193403657713, score=0.884853 -   1.9s
[CV] c1=0.22031984682221156, c2=0.0046626957087946815 ................
[CV]  c1=0.22031984682221156, c2=0.0046626957087946815, score=0.793078 -   1.9s
[CV] c1=0.06594316565753498, c2=0.11921560360399691 ..................
[CV]  c1=0.06594316565753498, c2=0.11921560360399691, score=0.878193 -   2.1s
[CV] c1=1.3654229589982712, c2=0.0041838718388388626 .................
[CV]  c1=1.3654229589982712, c2=0.0041838718388388626, score=0.861295 -   1.9s
[CV] c1=0.6601803389256473, c2=0.023692212124973536 ..................
[CV]  c1=0.6601803389256473, c2=0.023692212124973536, score=0.807437 -   1.8s
[CV] c1=0.9404348913615942, c2=0.09370930925344806 ...................
[CV]  c1=0.9404348913615942, c2=0.09370930925344806, score=0.816785 -   1.8s
[CV] c1=0.6033808340460748, c2=0.3556108804306439 ....................
[CV]  c1=0.6033808340460748, c2=0.3556108804306439, score=0.842989 -   1.9s
[CV] c1=0.15683153624908922, c2=0.028596592931615306 .................
[CV]  c1=0.15683153624908922, c2=0.028596592931615306, score=0.796775 -   1.9s
[CV] c1=0.8926668608130206, c2=0.02910657394129026 ...................
[CV]  c1=0.8926668608130206, c2=0.02910657394129026, score=0.775032 -   1.9s
[CV] c1=0.017558988160237286, c2=0.01678386664685832 .................
[CV]  c1=0.017558988160237286, c2=0.01678386664685832, score=0.842002 -   1.8s
[CV] c1=0.05467857850930804, c2=0.08083723582176451 ..................
[CV]  c1=0.05467857850930804, c2=0.08083723582176451, score=0.748826 -   1.5s
[CV] c1=0.5454206360311679, c2=0.07238828937830503 ...................
[CV]  c1=0.5454206360311679, c2=0.07238828937830503, score=0.888822 -   2.0s
[CV] c1=0.1254220237412328, c2=0.02247592938075937 ...................
[CV]  c1=0.1254220237412328, c2=0.02247592938075937, score=0.883545 -   1.9s
[CV] c1=0.09468157333065239, c2=0.13639551484322177 ..................
[CV]  c1=0.09468157333065239, c2=0.13639551484322177, score=0.798358 -   1.9s
[CV] c1=0.399666147368836, c2=0.07767309745627038 ....................
[CV]  c1=0.399666147368836, c2=0.07767309745627038, score=0.897876 -   1.8s
[CV] c1=0.390543282826931, c2=0.04349504817771091 ....................
[CV]  c1=0.390543282826931, c2=0.04349504817771091, score=0.904349 -   1.8s
[CV] c1=0.5272123874187624, c2=0.0018473335811869979 .................
[CV]  c1=0.5272123874187624, c2=0.0018473335811869979, score=0.899901 -   1.8s
[CV] c1=0.9404348913615942, c2=0.09370930925344806 ...................
[CV]  c1=0.9404348913615942, c2=0.09370930925344806, score=0.711410 -   1.9s
[CV] c1=0.6033808340460748, c2=0.3556108804306439 ....................
[CV]  c1=0.6033808340460748, c2=0.3556108804306439, score=0.694735 -   1.7s
[CV] c1=0.15683153624908922, c2=0.028596592931615306 .................
[CV]  c1=0.15683153624908922, c2=0.028596592931615306, score=0.904293 -   1.8s
[CV] c1=0.8926668608130206, c2=0.02910657394129026 ...................
[CV]  c1=0.8926668608130206, c2=0.02910657394129026, score=0.704550 -   1.9s
[CV] c1=0.19190767744484075, c2=0.0032821653505566563 ................
[CV]  c1=0.19190767744484075, c2=0.0032821653505566563, score=0.867678 -   1.9s
[CV] c1=0.948406701816137, c2=0.02027555743552803 ....................
[CV]  c1=0.948406701816137, c2=0.02027555743552803, score=0.780288 -   2.0s
[CV] c1=0.20704229591469211, c2=0.005278425652797891 .................
[CV]  c1=0.20704229591469211, c2=0.005278425652797891, score=0.880685 -   2.0s
[CV] c1=0.07509945199115833, c2=0.12332472084187628 ..................
[CV]  c1=0.07509945199115833, c2=0.12332472084187628, score=0.855897 -   1.8s
[CV] c1=0.6416455835109157, c2=0.06079855444708983 ...................
[CV]  c1=0.6416455835109157, c2=0.06079855444708983, score=0.722084 -   2.0s
[CV] c1=0.1284977388476457, c2=0.021114701460845736 ..................
[CV]  c1=0.1284977388476457, c2=0.021114701460845736, score=0.764662 -   1.5s
[CV] c1=0.4695996262159415, c2=0.012219108741793022 ..................
[CV]  c1=0.4695996262159415, c2=0.012219108741793022, score=0.844136 -   1.8s
[CV] c1=0.015337908665877368, c2=0.01522986016464443 .................
[CV]  c1=0.015337908665877368, c2=0.01522986016464443, score=0.804983 -   1.9s
[CV] c1=0.8193848720424386, c2=0.009348146490943097 ..................
[CV]  c1=0.8193848720424386, c2=0.009348146490943097, score=0.782406 -   1.9s
[CV] c1=0.10068429999634733, c2=0.016998991856395942 .................
[CV]  c1=0.10068429999634733, c2=0.016998991856395942, score=0.777162 -   1.4s
[CV] c1=0.6320018014954842, c2=0.033209606771190565 ..................
[CV]  c1=0.6320018014954842, c2=0.033209606771190565, score=0.708228 -   1.5s
[CV] c1=0.04791681622844134, c2=0.06914836610188914 ..................
[CV]  c1=0.04791681622844134, c2=0.06914836610188914, score=0.880176 -   1.7s
[CV] c1=0.22448450386700614, c2=0.07651244824214327 ..................
[CV]  c1=0.22448450386700614, c2=0.07651244824214327, score=0.918463 -   1.9s
[CV] c1=1.513609908780002, c2=0.05998105177648675 ....................
[CV]  c1=1.513609908780002, c2=0.05998105177648675, score=0.619809 -   1.9s
[CV] c1=0.6056791752721468, c2=0.09271761953802397 ...................
[CV]  c1=0.6056791752721468, c2=0.09271761953802397, score=0.884771 -   1.9s
[CV] c1=0.07509945199115833, c2=0.12332472084187628 ..................
[CV]  c1=0.07509945199115833, c2=0.12332472084187628, score=0.793675 -   1.9s
[CV] c1=0.6416455835109157, c2=0.06079855444708983 ...................
[CV]  c1=0.6416455835109157, c2=0.06079855444708983, score=0.796485 -   2.1s
[CV] c1=0.1284977388476457, c2=0.021114701460845736 ..................
[CV]  c1=0.1284977388476457, c2=0.021114701460845736, score=0.799708 -   1.9s
[CV] c1=0.16685041917886118, c2=0.004778444492952933 .................
[CV]  c1=0.16685041917886118, c2=0.004778444492952933, score=0.854717 -   1.9s
[CV] c1=0.13561955665719458, c2=0.014302567441806184 .................
[CV]  c1=0.13561955665719458, c2=0.014302567441806184, score=0.885341 -   1.9s
[CV] c1=1.1044783993654101, c2=0.05291406077682427 ...................
[CV]  c1=1.1044783993654101, c2=0.05291406077682427, score=0.774229 -   1.8s
[CV] c1=0.8278525667904352, c2=0.009432483141835871 ..................
[CV]  c1=0.8278525667904352, c2=0.009432483141835871, score=0.873622 -   1.8s
[CV] c1=0.8189773791881225, c2=0.010261197235310727 ..................
[CV]  c1=0.8189773791881225, c2=0.010261197235310727, score=0.813595 -   1.9s
[CV] c1=0.7625729427349326, c2=0.07148172535038373 ...................
[CV]  c1=0.7625729427349326, c2=0.07148172535038373, score=0.854778 -   2.0s
[CV] c1=0.948406701816137, c2=0.02027555743552803 ....................
[CV]  c1=0.948406701816137, c2=0.02027555743552803, score=0.821572 -   1.9s
[CV] c1=0.2706908946183939, c2=0.02151324030769296 ...................
[CV]  c1=0.2706908946183939, c2=0.02151324030769296, score=0.863663 -   1.9s
[CV] c1=0.6541990907453599, c2=0.08590006336747316 ...................
[CV]  c1=0.6541990907453599, c2=0.08590006336747316, score=0.797368 -   1.8s
[CV] c1=0.5630440073527638, c2=0.08304146681175403 ...................
[CV]  c1=0.5630440073527638, c2=0.08304146681175403, score=0.747086 -   1.6s
[CV] c1=0.7064152281652902, c2=0.019882654503059462 ..................
[CV]  c1=0.7064152281652902, c2=0.019882654503059462, score=0.724074 -   2.1s
[CV] c1=0.4695996262159415, c2=0.012219108741793022 ..................
[CV]  c1=0.4695996262159415, c2=0.012219108741793022, score=0.903625 -   1.9s
[CV] c1=0.015337908665877368, c2=0.01522986016464443 .................
[CV]  c1=0.015337908665877368, c2=0.01522986016464443, score=0.809360 -   1.5s
[CV] c1=0.063206718027962, c2=0.08339203031258703 ....................
[CV]  c1=0.063206718027962, c2=0.08339203031258703, score=0.853657 -   1.9s
[CV] c1=0.570377342351319, c2=0.01615700916680283 ....................
[CV]  c1=0.570377342351319, c2=0.01615700916680283, score=0.823094 -   1.8s
[CV] c1=0.8218318280963297, c2=0.013923068013422944 ..................
[CV]  c1=0.8218318280963297, c2=0.013923068013422944, score=0.821702 -   1.8s
[CV] c1=0.04791681622844134, c2=0.06914836610188914 ..................
[CV]  c1=0.04791681622844134, c2=0.06914836610188914, score=0.858948 -   1.8s
[CV] c1=0.02775945656892152, c2=0.015302423336133545 .................
[CV]  c1=0.02775945656892152, c2=0.015302423336133545, score=0.801432 -   1.8s
[CV] c1=0.20750646821167598, c2=0.004065859926481305 .................
[CV]  c1=0.20750646821167598, c2=0.004065859926481305, score=0.790487 -   1.9s
[CV] c1=0.38210043219704326, c2=0.017243821051292105 .................
[CV]  c1=0.38210043219704326, c2=0.017243821051292105, score=0.857554 -   1.9s
[CV] c1=1.79655260658577, c2=0.10974531670042853 .....................
[CV]  c1=1.79655260658577, c2=0.10974531670042853, score=0.824269 -   1.8s
[CV] c1=0.5447928262364046, c2=0.01843686346313653 ...................
[CV]  c1=0.5447928262364046, c2=0.01843686346313653, score=0.736421 -   1.5s
[CV] c1=0.9671823006845491, c2=0.07072790296824365 ...................
[CV]  c1=0.9671823006845491, c2=0.07072790296824365, score=0.690422 -   1.9s
[CV] c1=0.390543282826931, c2=0.04349504817771091 ....................
[CV]  c1=0.390543282826931, c2=0.04349504817771091, score=0.745870 -   1.5s
[CV] c1=0.07084735591017224, c2=0.04750922323575954 ..................
[CV]  c1=0.07084735591017224, c2=0.04750922323575954, score=0.851339 -   1.8s
[CV] c1=0.9404348913615942, c2=0.09370930925344806 ...................
[CV]  c1=0.9404348913615942, c2=0.09370930925344806, score=0.846866 -   1.8s
[CV] c1=0.20903371741605464, c2=0.008299462354138828 .................
[CV]  c1=0.20903371741605464, c2=0.008299462354138828, score=0.909648 -   1.9s
[CV] c1=0.8278525667904352, c2=0.009432483141835871 ..................
[CV]  c1=0.8278525667904352, c2=0.009432483141835871, score=0.779661 -   1.8s
[CV] c1=0.8189773791881225, c2=0.010261197235310727 ..................
[CV]  c1=0.8189773791881225, c2=0.010261197235310727, score=0.842914 -   2.0s
[CV] c1=0.19190767744484075, c2=0.0032821653505566563 ................
[CV]  c1=0.19190767744484075, c2=0.0032821653505566563, score=0.913868 -   1.9s
[CV] c1=1.513609908780002, c2=0.05998105177648675 ....................
[CV]  c1=1.513609908780002, c2=0.05998105177648675, score=0.640334 -   1.5s
[CV] c1=0.058711308518582445, c2=0.02251420664674674 .................
[CV]  c1=0.058711308518582445, c2=0.02251420664674674, score=0.863418 -   1.8s
[CV] c1=1.79655260658577, c2=0.10974531670042853 .....................
[CV]  c1=1.79655260658577, c2=0.10974531670042853, score=0.625757 -   2.0s
[CV] c1=2.1431893434065863, c2=0.04729229205814732 ...................
[CV]  c1=2.1431893434065863, c2=0.04729229205814732, score=0.815873 -   1.9s
[CV] c1=0.7064152281652902, c2=0.019882654503059462 ..................
[CV]  c1=0.7064152281652902, c2=0.019882654503059462, score=0.876949 -   1.8s
[CV] c1=0.6529483683016691, c2=0.01034882957123384 ...................
[CV]  c1=0.6529483683016691, c2=0.01034882957123384, score=0.887870 -   1.8s
[CV] c1=0.3705508150153749, c2=0.009989308228017559 ..................
[CV]  c1=0.3705508150153749, c2=0.009989308228017559, score=0.913684 -   2.0s
[CV] c1=0.063206718027962, c2=0.08339203031258703 ....................
[CV]  c1=0.063206718027962, c2=0.08339203031258703, score=0.759948 -   1.5s
[CV] c1=0.6033808340460748, c2=0.3556108804306439 ....................
[CV]  c1=0.6033808340460748, c2=0.3556108804306439, score=0.792114 -   1.9s
[CV] c1=0.15683153624908922, c2=0.028596592931615306 .................
[CV]  c1=0.15683153624908922, c2=0.028596592931615306, score=0.878636 -   1.9s
[CV] c1=0.005197882949506854, c2=0.1499306041909397 ..................
[CV]  c1=0.005197882949506854, c2=0.1499306041909397, score=0.876590 -   1.8s
[CV] c1=1.1561777831730409, c2=0.0035376147123344056 .................
[CV]  c1=1.1561777831730409, c2=0.0035376147123344056, score=0.733489 -   1.6s
[CV] c1=0.10997220238437055, c2=0.04134186740164633 ..................
[CV]  c1=0.10997220238437055, c2=0.04134186740164633, score=0.843976 -   1.9s
[CV] c1=0.5454206360311679, c2=0.07238828937830503 ...................
[CV]  c1=0.5454206360311679, c2=0.07238828937830503, score=0.707617 -   1.7s
[CV] c1=0.6056791752721468, c2=0.09271761953802397 ...................
[CV]  c1=0.6056791752721468, c2=0.09271761953802397, score=0.849754 -   2.1s
[CV] c1=0.24985945961815742, c2=0.02956814677511742 ..................
[CV]  c1=0.24985945961815742, c2=0.02956814677511742, score=0.790487 -   2.1s
[CV] c1=0.399666147368836, c2=0.07767309745627038 ....................
[CV]  c1=0.399666147368836, c2=0.07767309745627038, score=0.751932 -   1.9s
[CV] c1=0.390543282826931, c2=0.04349504817771091 ....................
[CV]  c1=0.390543282826931, c2=0.04349504817771091, score=0.869687 -   2.0s
[CV] c1=0.6174451132397957, c2=0.10171980853699147 ...................
[CV]  c1=0.6174451132397957, c2=0.10171980853699147, score=0.721758 -   1.9s
[CV] c1=0.1863132658196787, c2=7.583490561502509e-05 .................
[CV]  c1=0.1863132658196787, c2=7.583490561502509e-05, score=0.865692 -   1.9s
[CV] c1=0.5822347663372602, c2=0.06289427850738002 ...................
[CV]  c1=0.5822347663372602, c2=0.06289427850738002, score=0.825956 -   1.9s
[CV] c1=0.17334720682588964, c2=0.06375050238973755 ..................
[CV]  c1=0.17334720682588964, c2=0.06375050238973755, score=0.854423 -   1.8s
[CV] c1=0.005197882949506854, c2=0.1499306041909397 ..................
[CV]  c1=0.005197882949506854, c2=0.1499306041909397, score=0.824969 -   1.8s
[CV] c1=0.22448450386700614, c2=0.07651244824214327 ..................
[CV]  c1=0.22448450386700614, c2=0.07651244824214327, score=0.854423 -   1.9s
[CV] c1=1.513609908780002, c2=0.05998105177648675 ....................
[CV]  c1=1.513609908780002, c2=0.05998105177648675, score=0.648951 -   2.0s
[CV] c1=0.6056791752721468, c2=0.09271761953802397 ...................
[CV]  c1=0.6056791752721468, c2=0.09271761953802397, score=0.815636 -   1.7s
[CV] c1=0.07509945199115833, c2=0.12332472084187628 ..................
[CV]  c1=0.07509945199115833, c2=0.12332472084187628, score=0.872989 -   1.9s
[CV] c1=0.6416455835109157, c2=0.06079855444708983 ...................
[CV]  c1=0.6416455835109157, c2=0.06079855444708983, score=0.891937 -   1.9s
[CV] c1=0.4365159193437625, c2=0.014911415286971022 ..................
[CV]  c1=0.4365159193437625, c2=0.014911415286971022, score=0.743900 -   1.5s
[CV] c1=0.6529483683016691, c2=0.01034882957123384 ...................
[CV]  c1=0.6529483683016691, c2=0.01034882957123384, score=0.823758 -   1.7s
[CV] c1=0.3705508150153749, c2=0.009989308228017559 ..................
[CV]  c1=0.3705508150153749, c2=0.009989308228017559, score=0.765442 -   1.9s
[CV] c1=0.063206718027962, c2=0.08339203031258703 ....................
[CV]  c1=0.063206718027962, c2=0.08339203031258703, score=0.878462 -   1.8s
[CV] c1=0.570377342351319, c2=0.01615700916680283 ....................
[CV]  c1=0.570377342351319, c2=0.01615700916680283, score=0.806124 -   1.9s
[CV] c1=0.8218318280963297, c2=0.013923068013422944 ..................
[CV]  c1=0.8218318280963297, c2=0.013923068013422944, score=0.774729 -   1.9s
[CV] c1=0.2888818104268899, c2=0.08656370768718949 ...................
[CV]  c1=0.2888818104268899, c2=0.08656370768718949, score=0.908403 -   1.7s
[CV] c1=0.4998040813707532, c2=0.10889492103914494 ...................
[CV]  c1=0.4998040813707532, c2=0.10889492103914494, score=0.888576 -   1.8s
[CV] c1=0.05467857850930804, c2=0.08083723582176451 ..................
[CV]  c1=0.05467857850930804, c2=0.08083723582176451, score=0.858948 -   1.8s
[CV] c1=0.23679553269455206, c2=0.14189844159010506 ..................
[CV]  c1=0.23679553269455206, c2=0.14189844159010506, score=0.854423 -   1.8s
[CV] c1=0.8629551848259368, c2=0.019110597500684764 ..................
[CV]  c1=0.8629551848259368, c2=0.019110597500684764, score=0.889621 -   1.8s
[CV] c1=0.12941516017251065, c2=0.07183735811674406 ..................
[CV]  c1=0.12941516017251065, c2=0.07183735811674406, score=0.737672 -   1.4s
[CV] c1=0.06594316565753498, c2=0.11921560360399691 ..................
[CV]  c1=0.06594316565753498, c2=0.11921560360399691, score=0.758534 -   1.5s
[CV] c1=0.4365159193437625, c2=0.014911415286971022 ..................
[CV]  c1=0.4365159193437625, c2=0.014911415286971022, score=0.839752 -   1.7s
[CV] c1=1.0502826134029992, c2=0.17918250898342758 ...................
[CV]  c1=1.0502826134029992, c2=0.17918250898342758, score=0.870657 -   1.8s
[CV] c1=0.48016223926155366, c2=0.007210117655257155 .................
[CV]  c1=0.48016223926155366, c2=0.007210117655257155, score=0.742525 -   1.5s
[CV] c1=0.8193848720424386, c2=0.009348146490943097 ..................
[CV]  c1=0.8193848720424386, c2=0.009348146490943097, score=0.889656 -   1.8s
[CV] c1=0.7708160166511858, c2=0.01474713182811392 ...................
[CV]  c1=0.7708160166511858, c2=0.01474713182811392, score=0.723828 -   1.6s
[CV] c1=0.17334720682588964, c2=0.06375050238973755 ..................
[CV]  c1=0.17334720682588964, c2=0.06375050238973755, score=0.882221 -   1.9s
[CV] c1=0.04791681622844134, c2=0.06914836610188914 ..................
[CV]  c1=0.04791681622844134, c2=0.06914836610188914, score=0.801432 -   1.8s
[CV] c1=0.02775945656892152, c2=0.015302423336133545 .................
[CV]  c1=0.02775945656892152, c2=0.015302423336133545, score=0.852120 -   1.9s
[CV] c1=0.11692630779513653, c2=0.03725061719890816 ..................
[CV]  c1=0.11692630779513653, c2=0.03725061719890816, score=0.765410 -   1.5s
[CV] c1=0.38210043219704326, c2=0.017243821051292105 .................
[CV]  c1=0.38210043219704326, c2=0.017243821051292105, score=0.746932 -   1.5s
[CV] c1=0.1254220237412328, c2=0.02247592938075937 ...................
[CV]  c1=0.1254220237412328, c2=0.02247592938075937, score=0.797318 -   1.9s
[CV] c1=0.24985945961815742, c2=0.02956814677511742 ..................
[CV]  c1=0.24985945961815742, c2=0.02956814677511742, score=0.849552 -   2.0s
[CV] c1=0.9671823006845491, c2=0.07072790296824365 ...................
[CV]  c1=0.9671823006845491, c2=0.07072790296824365, score=0.795345 -   1.8s
[CV] c1=1.3654229589982712, c2=0.0041838718388388626 .................
[CV]  c1=1.3654229589982712, c2=0.0041838718388388626, score=0.624019 -   1.9s
[CV] c1=0.5272123874187624, c2=0.0018473335811869979 .................
[CV]  c1=0.5272123874187624, c2=0.0018473335811869979, score=0.753571 -   1.9s
[CV] c1=0.12646106745866992, c2=0.03200739386192467 ..................
[CV]  c1=0.12646106745866992, c2=0.03200739386192467, score=0.874811 -   1.9s
[CV] c1=0.5822347663372602, c2=0.06289427850738002 ...................
[CV]  c1=0.5822347663372602, c2=0.06289427850738002, score=0.885661 -   1.9s
[CV] c1=0.17334720682588964, c2=0.06375050238973755 ..................
[CV]  c1=0.17334720682588964, c2=0.06375050238973755, score=0.799708 -   1.8s
[CV] c1=0.005197882949506854, c2=0.1499306041909397 ..................
[CV]  c1=0.005197882949506854, c2=0.1499306041909397, score=0.861188 -   1.8s
[CV] c1=0.7625729427349326, c2=0.07148172535038373 ...................
[CV]  c1=0.7625729427349326, c2=0.07148172535038373, score=0.694026 -   1.5s
[CV] c1=0.05467857850930804, c2=0.08083723582176451 ..................
[CV]  c1=0.05467857850930804, c2=0.08083723582176451, score=0.813172 -   1.8s
[CV] c1=0.23679553269455206, c2=0.14189844159010506 ..................
[CV]  c1=0.23679553269455206, c2=0.14189844159010506, score=0.840392 -   1.8s
[CV] c1=0.8629551848259368, c2=0.019110597500684764 ..................
[CV]  c1=0.8629551848259368, c2=0.019110597500684764, score=0.697292 -   1.5s
[CV] c1=0.24985945961815742, c2=0.02956814677511742 ..................
[CV]  c1=0.24985945961815742, c2=0.02956814677511742, score=0.867678 -   1.9s
[CV] c1=0.06594316565753498, c2=0.11921560360399691 ..................
[CV]  c1=0.06594316565753498, c2=0.11921560360399691, score=0.858948 -   1.8s
[CV] c1=0.8647730574836087, c2=0.0970708105467648 ....................
[CV]  c1=0.8647730574836087, c2=0.0970708105467648, score=0.696380 -   1.4s
[CV] c1=1.0502826134029992, c2=0.17918250898342758 ...................
[CV]  c1=1.0502826134029992, c2=0.17918250898342758, score=0.688911 -   1.9s
[CV] c1=0.5864662497615412, c2=0.034847199516674664 ..................
[CV]  c1=0.5864662497615412, c2=0.034847199516674664, score=0.746373 -   1.6s
[CV] c1=0.8193848720424386, c2=0.009348146490943097 ..................
[CV]  c1=0.8193848720424386, c2=0.009348146490943097, score=0.811749 -   1.8s
[CV] c1=0.10068429999634733, c2=0.016998991856395942 .................
[CV]  c1=0.10068429999634733, c2=0.016998991856395942, score=0.887853 -   1.7s
[CV] c1=0.6320018014954842, c2=0.033209606771190565 ..................
[CV]  c1=0.6320018014954842, c2=0.033209606771190565, score=0.808611 -   1.8s
[CV] c1=0.2888818104268899, c2=0.08656370768718949 ...................
[CV]  c1=0.2888818104268899, c2=0.08656370768718949, score=0.790738 -   1.7s
[CV] c1=1.3584172585910317, c2=0.04569122814466098 ...................
[CV]  c1=1.3584172585910317, c2=0.04569122814466098, score=0.621895 -   1.7s
[CV] c1=0.2650897069163686, c2=0.11179717290281543 ...................
[CV]  c1=0.2650897069163686, c2=0.11179717290281543, score=0.793329 -   1.9s
[CV] c1=0.5454206360311679, c2=0.07238828937830503 ...................
[CV]  c1=0.5454206360311679, c2=0.07238828937830503, score=0.805187 -   1.9s
[CV] c1=0.1254220237412328, c2=0.02247592938075937 ...................
[CV]  c1=0.1254220237412328, c2=0.02247592938075937, score=0.865375 -   1.8s
[CV] c1=0.24985945961815742, c2=0.02956814677511742 ..................
[CV]  c1=0.24985945961815742, c2=0.02956814677511742, score=0.898397 -   2.0s
[CV] c1=0.9671823006845491, c2=0.07072790296824365 ...................
[CV]  c1=0.9671823006845491, c2=0.07072790296824365, score=0.875252 -   1.9s
[CV] c1=1.3654229589982712, c2=0.0041838718388388626 .................
[CV]  c1=1.3654229589982712, c2=0.0041838718388388626, score=0.630630 -   1.4s
[CV] c1=0.16685041917886118, c2=0.004778444492952933 .................
[CV]  c1=0.16685041917886118, c2=0.004778444492952933, score=0.865672 -   1.8s
[CV] c1=0.5864662497615412, c2=0.034847199516674664 ..................
[CV]  c1=0.5864662497615412, c2=0.034847199516674664, score=0.824110 -   1.9s
[CV] c1=1.1044783993654101, c2=0.05291406077682427 ...................
[CV]  c1=1.1044783993654101, c2=0.05291406077682427, score=0.868750 -   1.8s
[CV] c1=0.059406639633605214, c2=0.03038025530749503 .................
[CV]  c1=0.059406639633605214, c2=0.03038025530749503, score=0.758413 -   1.4s
[CV] c1=0.15608280518018833, c2=0.0037309546813542684 ................
[CV]  c1=0.15608280518018833, c2=0.0037309546813542684, score=0.870032 -   1.7s
[CV] c1=0.007540700413374269, c2=0.010604719659122753 ................
[CV]  c1=0.007540700413374269, c2=0.010604719659122753, score=0.781868 -   1.4s
[CV] c1=0.7625729427349326, c2=0.07148172535038373 ...................
[CV]  c1=0.7625729427349326, c2=0.07148172535038373, score=0.815995 -   1.8s
[CV] c1=0.11692630779513653, c2=0.03725061719890816 ..................
[CV]  c1=0.11692630779513653, c2=0.03725061719890816, score=0.875592 -   1.9s
[CV] c1=0.2706908946183939, c2=0.02151324030769296 ...................
[CV]  c1=0.2706908946183939, c2=0.02151324030769296, score=0.774785 -   1.5s
[CV] c1=0.8629551848259368, c2=0.019110597500684764 ..................
[CV]  c1=0.8629551848259368, c2=0.019110597500684764, score=0.779661 -   1.7s
[CV] c1=0.12941516017251065, c2=0.07183735811674406 ..................
[CV]  c1=0.12941516017251065, c2=0.07183735811674406, score=0.849132 -   1.6s
[CV] c1=0.9671823006845491, c2=0.07072790296824365 ...................
[CV]  c1=0.9671823006845491, c2=0.07072790296824365, score=0.752176 -   1.9s
[CV] c1=0.390543282826931, c2=0.04349504817771091 ....................
[CV]  c1=0.390543282826931, c2=0.04349504817771091, score=0.753571 -   1.7s
[CV] c1=0.6601803389256473, c2=0.023692212124973536 ..................
[CV]  c1=0.6601803389256473, c2=0.023692212124973536, score=0.843085 -   1.9s
[CV] c1=0.12646106745866992, c2=0.03200739386192467 ..................
[CV]  c1=0.12646106745866992, c2=0.03200739386192467, score=0.778215 -   1.6s
[CV] c1=0.20903371741605464, c2=0.008299462354138828 .................
[CV]  c1=0.20903371741605464, c2=0.008299462354138828, score=0.790487 -   1.8s
[CV] c1=0.8278525667904352, c2=0.009432483141835871 ..................
[CV]  c1=0.8278525667904352, c2=0.009432483141835871, score=0.814004 -   1.9s
[CV] c1=0.8926668608130206, c2=0.02910657394129026 ...................
[CV]  c1=0.8926668608130206, c2=0.02910657394129026, score=0.871763 -   1.8s
[CV] c1=1.1561777831730409, c2=0.0035376147123344056 .................
[CV]  c1=1.1561777831730409, c2=0.0035376147123344056, score=0.641514 -   1.6s
[CV] c1=0.10997220238437055, c2=0.04134186740164633 ..................
[CV]  c1=0.10997220238437055, c2=0.04134186740164633, score=0.778852 -   1.5s
[CV] c1=1.559391616470173, c2=0.006131235496701872 ...................
[CV]  c1=1.559391616470173, c2=0.006131235496701872, score=0.845897 -   1.8s
[CV] c1=0.20704229591469211, c2=0.005278425652797891 .................
[CV]  c1=0.20704229591469211, c2=0.005278425652797891, score=0.796573 -   1.9s
[CV] c1=0.6541990907453599, c2=0.08590006336747316 ...................
[CV]  c1=0.6541990907453599, c2=0.08590006336747316, score=0.849754 -   2.1s
[CV] c1=0.6416455835109157, c2=0.06079855444708983 ...................
[CV]  c1=0.6416455835109157, c2=0.06079855444708983, score=0.841187 -   2.1s
[CV] c1=0.8647730574836087, c2=0.0970708105467648 ....................
[CV]  c1=0.8647730574836087, c2=0.0970708105467648, score=0.872620 -   2.0s
[CV] c1=0.6601803389256473, c2=0.023692212124973536 ..................
[CV]  c1=0.6601803389256473, c2=0.023692212124973536, score=0.885507 -   2.1s
[CV] c1=0.12646106745866992, c2=0.03200739386192467 ..................
[CV]  c1=0.12646106745866992, c2=0.03200739386192467, score=0.790400 -   1.9s
[CV] c1=0.6033808340460748, c2=0.3556108804306439 ....................
[CV]  c1=0.6033808340460748, c2=0.3556108804306439, score=0.816588 -   1.9s
[CV] c1=0.17334720682588964, c2=0.06375050238973755 ..................
[CV]  c1=0.17334720682588964, c2=0.06375050238973755, score=0.887853 -   1.9s
[CV] c1=0.005197882949506854, c2=0.1499306041909397 ..................
[CV]  c1=0.005197882949506854, c2=0.1499306041909397, score=0.818706 -   1.9s
[CV] c1=1.3584172585910317, c2=0.04569122814466098 ...................
[CV]  c1=1.3584172585910317, c2=0.04569122814466098, score=0.669370 -   1.1s
[CV] c1=0.6330819074475255, c2=0.0754904814599407 ....................
[CV]  c1=0.6330819074475255, c2=0.0754904814599407, score=0.720466 -   1.5s
[CV] c1=1.513609908780002, c2=0.05998105177648675 ....................
[CV]  c1=1.513609908780002, c2=0.05998105177648675, score=0.858983 -   1.9s
[CV] c1=0.20704229591469211, c2=0.005278425652797891 .................
[CV]  c1=0.20704229591469211, c2=0.005278425652797891, score=0.767989 -   1.6s
[CV] c1=0.3643149366192033, c2=0.0009978255363559774 .................
[CV]  c1=0.3643149366192033, c2=0.0009978255363559774, score=0.743900 -   1.6s
[CV] c1=0.5447928262364046, c2=0.01843686346313653 ...................
[CV]  c1=0.5447928262364046, c2=0.01843686346313653, score=0.728268 -   1.9s
[CV] c1=1.1387139361158394, c2=0.08460104164592548 ...................
[CV]  c1=1.1387139361158394, c2=0.08460104164592548, score=0.732222 -   2.0s
[CV] c1=0.6529483683016691, c2=0.01034882957123384 ...................
[CV]  c1=0.6529483683016691, c2=0.01034882957123384, score=0.739176 -   1.5s
[CV] c1=0.6174451132397957, c2=0.10171980853699147 ...................
[CV]  c1=0.6174451132397957, c2=0.10171980853699147, score=0.718054 -   1.6s
[CV] c1=0.9404348913615942, c2=0.09370930925344806 ...................
[CV]  c1=0.9404348913615942, c2=0.09370930925344806, score=0.693713 -   1.9s
[CV] c1=0.20903371741605464, c2=0.008299462354138828 .................
[CV]  c1=0.20903371741605464, c2=0.008299462354138828, score=0.857596 -   1.9s
[CV] c1=0.15683153624908922, c2=0.028596592931615306 .................
[CV]  c1=0.15683153624908922, c2=0.028596592931615306, score=0.854961 -   1.8s
[CV] c1=0.8926668608130206, c2=0.02910657394129026 ...................
[CV]  c1=0.8926668608130206, c2=0.02910657394129026, score=0.790000 -   1.7s
[CV] c1=1.3584172585910317, c2=0.04569122814466098 ...................
[CV]  c1=1.3584172585910317, c2=0.04569122814466098, score=0.862109 -   1.6s
[CV] c1=0.10997220238437055, c2=0.04134186740164633 ..................
[CV]  c1=0.10997220238437055, c2=0.04134186740164633, score=0.854423 -   1.8s
[CV] c1=0.3302917103842651, c2=0.01439899910204362 ...................
[CV]  c1=0.3302917103842651, c2=0.01439899910204362, score=0.869000 -   1.9s
[CV] c1=0.1254220237412328, c2=0.02247592938075937 ...................
[CV]  c1=0.1254220237412328, c2=0.02247592938075937, score=0.884064 -   2.2s
[CV] c1=0.09468157333065239, c2=0.13639551484322177 ..................
[CV]  c1=0.09468157333065239, c2=0.13639551484322177, score=0.878462 -   2.0s
[CV] c1=0.399666147368836, c2=0.07767309745627038 ....................
[CV]  c1=0.399666147368836, c2=0.07767309745627038, score=0.846789 -   1.7s
[CV] c1=0.390543282826931, c2=0.04349504817771091 ....................
[CV]  c1=0.390543282826931, c2=0.04349504817771091, score=0.862597 -   1.8s
[CV] c1=0.5272123874187624, c2=0.0018473335811869979 .................
[CV]  c1=0.5272123874187624, c2=0.0018473335811869979, score=0.868436 -   2.0s
[CV] c1=0.1863132658196787, c2=7.583490561502509e-05 .................
[CV]  c1=0.1863132658196787, c2=7.583490561502509e-05, score=0.888135 -   1.9s
[CV] c1=0.570377342351319, c2=0.01615700916680283 ....................
[CV]  c1=0.570377342351319, c2=0.01615700916680283, score=0.735451 -   2.0s
[CV] c1=0.6320018014954842, c2=0.033209606771190565 ..................
[CV]  c1=0.6320018014954842, c2=0.033209606771190565, score=0.895532 -   1.9s
[CV] c1=0.2888818104268899, c2=0.08656370768718949 ...................
[CV]  c1=0.2888818104268899, c2=0.08656370768718949, score=0.846998 -   1.6s
[CV] c1=0.4998040813707532, c2=0.10889492103914494 ...................
[CV]  c1=0.4998040813707532, c2=0.10889492103914494, score=0.819917 -   1.9s
[CV] c1=0.20750646821167598, c2=0.004065859926481305 .................
[CV]  c1=0.20750646821167598, c2=0.004065859926481305, score=0.906267 -   2.0s
[CV] c1=0.058711308518582445, c2=0.02251420664674674 .................
[CV]  c1=0.058711308518582445, c2=0.02251420664674674, score=0.839584 -   1.9s
[CV] c1=0.3643149366192033, c2=0.0009978255363559774 .................
[CV]  c1=0.3643149366192033, c2=0.0009978255363559774, score=0.902765 -   2.0s
[CV] c1=2.1431893434065863, c2=0.04729229205814732 ...................
[CV]  c1=2.1431893434065863, c2=0.04729229205814732, score=0.617218 -   1.5s
[CV] c1=1.1387139361158394, c2=0.08460104164592548 ...................
[CV]  c1=1.1387139361158394, c2=0.08460104164592548, score=0.641292 -   1.9s
[CV] c1=0.9931748013636729, c2=0.03408727602776528 ...................
[CV]  c1=0.9931748013636729, c2=0.03408727602776528, score=0.738866 -   2.1s
[CV] c1=0.3705508150153749, c2=0.009989308228017559 ..................
[CV]  c1=0.3705508150153749, c2=0.009989308228017559, score=0.864900 -   1.8s
[CV] c1=0.063206718027962, c2=0.08339203031258703 ....................
[CV]  c1=0.063206718027962, c2=0.08339203031258703, score=0.810739 -   1.9s
[CV] c1=0.7708160166511858, c2=0.01474713182811392 ...................
[CV]  c1=0.7708160166511858, c2=0.01474713182811392, score=0.877181 -   1.9s
[CV] c1=0.6320018014954842, c2=0.033209606771190565 ..................
[CV]  c1=0.6320018014954842, c2=0.033209606771190565, score=0.724074 -   2.1s
[CV] c1=0.007540700413374269, c2=0.010604719659122753 ................
[CV]  c1=0.007540700413374269, c2=0.010604719659122753, score=0.861869 -   1.6s
[CV] c1=0.7625729427349326, c2=0.07148172535038373 ...................
[CV]  c1=0.7625729427349326, c2=0.07148172535038373, score=0.885273 -   1.9s
[CV] c1=0.11692630779513653, c2=0.03725061719890816 ..................
[CV]  c1=0.11692630779513653, c2=0.03725061719890816, score=0.854961 -   1.7s
[CV] c1=0.38210043219704326, c2=0.017243821051292105 .................
[CV]  c1=0.38210043219704326, c2=0.017243821051292105, score=0.870287 -   2.1s
[CV] c1=1.79655260658577, c2=0.10974531670042853 .....................
[CV]  c1=1.79655260658577, c2=0.10974531670042853, score=0.581511 -   2.2s
[CV] c1=0.5630440073527638, c2=0.08304146681175403 ...................
[CV]  c1=0.5630440073527638, c2=0.08304146681175403, score=0.883298 -   1.9s
[CV] c1=0.21757149590542535, c2=0.05411166075000648 ..................
[CV]  c1=0.21757149590542535, c2=0.05411166075000648, score=0.756088 -   1.5s
[CV] c1=0.6529483683016691, c2=0.01034882957123384 ...................
[CV]  c1=0.6529483683016691, c2=0.01034882957123384, score=0.722145 -   2.0s
[CV] c1=0.015337908665877368, c2=0.01522986016464443 .................
[CV]  c1=0.015337908665877368, c2=0.01522986016464443, score=0.863306 -   1.8s
[CV] c1=0.8193848720424386, c2=0.009348146490943097 ..................
[CV]  c1=0.8193848720424386, c2=0.009348146490943097, score=0.693020 -   1.5s
[CV] c1=0.5822347663372602, c2=0.06289427850738002 ...................
[CV]  c1=0.5822347663372602, c2=0.06289427850738002, score=0.845829 -   1.9s
[CV] c1=0.8218318280963297, c2=0.013923068013422944 ..................
[CV]  c1=0.8218318280963297, c2=0.013923068013422944, score=0.876083 -   1.8s
[CV] c1=0.04791681622844134, c2=0.06914836610188914 ..................
[CV]  c1=0.04791681622844134, c2=0.06914836610188914, score=0.768458 -   1.4s
[CV] c1=1.1561777831730409, c2=0.0035376147123344056 .................
[CV]  c1=1.1561777831730409, c2=0.0035376147123344056, score=0.821868 -   1.4s
[CV] c1=0.6330819074475255, c2=0.0754904814599407 ....................
[CV]  c1=0.6330819074475255, c2=0.0754904814599407, score=0.782453 -   1.8s
[CV] c1=1.559391616470173, c2=0.006131235496701872 ...................
[CV]  c1=1.559391616470173, c2=0.006131235496701872, score=0.619030 -   2.2s
[CV] c1=0.04461843019130379, c2=0.05337193403657713 ..................
[CV]  c1=0.04461843019130379, c2=0.05337193403657713, score=0.855897 -   1.7s
[CV] c1=0.22031984682221156, c2=0.0046626957087946815 ................
[CV]  c1=0.22031984682221156, c2=0.0046626957087946815, score=0.765249 -   1.6s
[CV] c1=0.6416455835109157, c2=0.06079855444708983 ...................
[CV]  c1=0.6416455835109157, c2=0.06079855444708983, score=0.720333 -   1.6s
[CV] c1=0.7064152281652902, c2=0.019882654503059462 ..................
[CV]  c1=0.7064152281652902, c2=0.019882654503059462, score=0.845829 -   2.0s
[CV] c1=0.4695996262159415, c2=0.012219108741793022 ..................
[CV]  c1=0.4695996262159415, c2=0.012219108741793022, score=0.748423 -   1.5s
[CV] c1=0.3705508150153749, c2=0.009989308228017559 ..................
[CV]  c1=0.3705508150153749, c2=0.009989308228017559, score=0.741965 -   1.6s
[CV] c1=0.1863132658196787, c2=7.583490561502509e-05 .................
[CV]  c1=0.1863132658196787, c2=7.583490561502509e-05, score=0.811912 -   1.9s
[CV] c1=0.5822347663372602, c2=0.06289427850738002 ...................
[CV]  c1=0.5822347663372602, c2=0.06289427850738002, score=0.728268 -   2.1s
[CV] c1=0.8218318280963297, c2=0.013923068013422944 ..................
[CV]  c1=0.8218318280963297, c2=0.013923068013422944, score=0.687697 -   1.9s
[CV] c1=0.04791681622844134, c2=0.06914836610188914 ..................
[CV]  c1=0.04791681622844134, c2=0.06914836610188914, score=0.866392 -   1.7s
[CV] c1=0.22448450386700614, c2=0.07651244824214327 ..................
[CV]  c1=0.22448450386700614, c2=0.07651244824214327, score=0.811445 -   1.9s
[CV] c1=1.559391616470173, c2=0.006131235496701872 ...................
[CV]  c1=1.559391616470173, c2=0.006131235496701872, score=0.638328 -   1.5s
[CV] c1=0.2706908946183939, c2=0.02151324030769296 ...................
[CV]  c1=0.2706908946183939, c2=0.02151324030769296, score=0.860560 -   1.8s
[CV] c1=0.3643149366192033, c2=0.0009978255363559774 .................
[CV]  c1=0.3643149366192033, c2=0.0009978255363559774, score=0.868436 -   2.0s
[CV] c1=0.5630440073527638, c2=0.08304146681175403 ...................
[CV]  c1=0.5630440073527638, c2=0.08304146681175403, score=0.822710 -   1.9s
[CV] c1=0.4365159193437625, c2=0.014911415286971022 ..................
[CV]  c1=0.4365159193437625, c2=0.014911415286971022, score=0.749517 -   2.0s
[CV] c1=0.16685041917886118, c2=0.004778444492952933 .................
[CV]  c1=0.16685041917886118, c2=0.004778444492952933, score=0.896361 -   1.8s
[CV] c1=0.48016223926155366, c2=0.007210117655257155 .................
[CV]  c1=0.48016223926155366, c2=0.007210117655257155, score=0.859573 -   1.9s
[CV] c1=0.23885556928630047, c2=0.07184940688793977 ..................
[CV]  c1=0.23885556928630047, c2=0.07184940688793977, score=0.849690 -   1.9s
[CV] c1=0.10068429999634733, c2=0.016998991856395942 .................
[CV]  c1=0.10068429999634733, c2=0.016998991856395942, score=0.848862 -   1.9s
[CV] c1=1.366991524398579, c2=0.020479834445268998 ...................
[CV]  c1=1.366991524398579, c2=0.020479834445268998, score=0.644245 -   1.5s
[CV] c1=0.2888818104268899, c2=0.08656370768718949 ...................
[CV]  c1=0.2888818104268899, c2=0.08656370768718949, score=0.839791 -   1.7s
[CV] c1=0.017558988160237286, c2=0.01678386664685832 .................
[CV]  c1=0.017558988160237286, c2=0.01678386664685832, score=0.781719 -   1.7s
[CV] c1=0.2650897069163686, c2=0.11179717290281543 ...................
[CV]  c1=0.2650897069163686, c2=0.11179717290281543, score=0.852183 -   1.8s
[CV] c1=0.5454206360311679, c2=0.07238828937830503 ...................
[CV]  c1=0.5454206360311679, c2=0.07238828937830503, score=0.854778 -   1.9s
[CV] c1=2.0621585629989037, c2=0.0522125796760172 ....................
[CV]  c1=2.0621585629989037, c2=0.0522125796760172, score=0.597146 -   1.9s
[CV] c1=0.09468157333065239, c2=0.13639551484322177 ..................
[CV]  c1=0.09468157333065239, c2=0.13639551484322177, score=0.861188 -   1.7s
[CV] c1=0.9671823006845491, c2=0.07072790296824365 ...................
[CV]  c1=0.9671823006845491, c2=0.07072790296824365, score=0.690630 -   1.6s
[CV] c1=0.1284977388476457, c2=0.021114701460845736 ..................
[CV]  c1=0.1284977388476457, c2=0.021114701460845736, score=0.865375 -   1.8s
[CV] c1=0.16685041917886118, c2=0.004778444492952933 .................
[CV]  c1=0.16685041917886118, c2=0.004778444492952933, score=0.798015 -   1.8s
[CV] c1=0.5864662497615412, c2=0.034847199516674664 ..................
[CV]  c1=0.5864662497615412, c2=0.034847199516674664, score=0.735451 -   1.8s
[CV] c1=0.254075386454865, c2=0.00724647124354611 ....................
[CV]  c1=0.254075386454865, c2=0.00724647124354611, score=0.800733 -   1.9s
[CV] c1=0.059406639633605214, c2=0.03038025530749503 .................
[CV]  c1=0.059406639633605214, c2=0.03038025530749503, score=0.870784 -   1.8s
[CV] c1=0.03556078386849118, c2=0.12257473271132889 ..................
[CV]  c1=0.03556078386849118, c2=0.12257473271132889, score=0.759465 -   1.4s
[CV] c1=0.007540700413374269, c2=0.010604719659122753 ................
[CV]  c1=0.007540700413374269, c2=0.010604719659122753, score=0.858582 -   1.5s
[CV] c1=0.02775945656892152, c2=0.015302423336133545 .................
[CV]  c1=0.02775945656892152, c2=0.015302423336133545, score=0.812768 -   1.5s
[CV] c1=0.05467857850930804, c2=0.08083723582176451 ..................
[CV]  c1=0.05467857850930804, c2=0.08083723582176451, score=0.878193 -   1.9s
[CV] c1=0.23679553269455206, c2=0.14189844159010506 ..................
[CV]  c1=0.23679553269455206, c2=0.14189844159010506, score=0.793329 -   1.8s
[CV] c1=2.0621585629989037, c2=0.0522125796760172 ....................
[CV]  c1=2.0621585629989037, c2=0.0522125796760172, score=0.555098 -   1.9s
[CV] c1=0.12941516017251065, c2=0.07183735811674406 ..................
[CV]  c1=0.12941516017251065, c2=0.07183735811674406, score=0.887452 -   1.8s
[CV] c1=0.399666147368836, c2=0.07767309745627038 ....................
[CV]  c1=0.399666147368836, c2=0.07767309745627038, score=0.750424 -   1.7s
[CV] c1=1.3654229589982712, c2=0.0041838718388388626 .................
[CV]  c1=1.3654229589982712, c2=0.0041838718388388626, score=0.773881 -   1.9s
[CV] c1=0.5272123874187624, c2=0.0018473335811869979 .................
[CV]  c1=0.5272123874187624, c2=0.0018473335811869979, score=0.734742 -   1.5s
[CV] c1=0.13561955665719458, c2=0.014302567441806184 .................
[CV]  c1=0.13561955665719458, c2=0.014302567441806184, score=0.848999 -   1.9s
[CV] c1=0.20903371741605464, c2=0.008299462354138828 .................
[CV]  c1=0.20903371741605464, c2=0.008299462354138828, score=0.752921 -   1.5s
[CV] c1=0.009065526878986268, c2=0.025932531214409183 ................
[CV]  c1=0.009065526878986268, c2=0.025932531214409183, score=0.809398 -   1.9s
[CV] c1=0.03556078386849118, c2=0.12257473271132889 ..................
[CV]  c1=0.03556078386849118, c2=0.12257473271132889, score=0.878193 -   1.8s
[CV] c1=0.5412057773519506, c2=0.019423451702316772 ..................
[CV]  c1=0.5412057773519506, c2=0.019423451702316772, score=0.740645 -   1.2s
[CV] c1=1.1561777831730409, c2=0.0035376147123344056 .................
[CV]  c1=1.1561777831730409, c2=0.0035376147123344056, score=0.675605 -   1.2s
[CV] c1=0.6330819074475255, c2=0.0754904814599407 ....................
[CV]  c1=0.6330819074475255, c2=0.0754904814599407, score=0.877707 -   2.0s
[CV] c1=1.559391616470173, c2=0.006131235496701872 ...................
[CV]  c1=1.559391616470173, c2=0.006131235496701872, score=0.781154 -   1.8s
[CV] c1=0.6056791752721468, c2=0.09271761953802397 ...................
[CV]  c1=0.6056791752721468, c2=0.09271761953802397, score=0.721758 -   1.9s
[CV] c1=0.07509945199115833, c2=0.12332472084187628 ..................
[CV]  c1=0.07509945199115833, c2=0.12332472084187628, score=0.870917 -   2.0s
[CV] c1=0.4491477657448823, c2=0.013280307330926387 ..................
[CV]  c1=0.4491477657448823, c2=0.013280307330926387, score=0.759096 -   2.0s
[CV] c1=0.1284977388476457, c2=0.021114701460845736 ..................
[CV]  c1=0.1284977388476457, c2=0.021114701460845736, score=0.917691 -   1.9s
[CV] c1=0.07084735591017224, c2=0.04750922323575954 ..................
[CV]  c1=0.07084735591017224, c2=0.04750922323575954, score=0.782980 -   1.5s
[CV] c1=0.48016223926155366, c2=0.007210117655257155 .................
[CV]  c1=0.48016223926155366, c2=0.007210117655257155, score=0.837619 -   1.9s
[CV] c1=0.254075386454865, c2=0.00724647124354611 ....................
[CV]  c1=0.254075386454865, c2=0.00724647124354611, score=0.792070 -   1.4s
[CV] c1=0.7708160166511858, c2=0.01474713182811392 ...................
[CV]  c1=0.7708160166511858, c2=0.01474713182811392, score=0.836667 -   1.9s
[CV] c1=0.15608280518018833, c2=0.0037309546813542684 ................
[CV]  c1=0.15608280518018833, c2=0.0037309546813542684, score=0.779442 -   1.5s
[CV] c1=0.2888818104268899, c2=0.08656370768718949 ...................
[CV]  c1=0.2888818104268899, c2=0.08656370768718949, score=0.756732 -   1.5s
[CV] c1=0.7625729427349326, c2=0.07148172535038373 ...................
[CV]  c1=0.7625729427349326, c2=0.07148172535038373, score=0.717645 -   1.9s
[CV] c1=0.948406701816137, c2=0.02027555743552803 ....................
[CV]  c1=0.948406701816137, c2=0.02027555743552803, score=0.868694 -   1.9s
[CV] c1=0.2706908946183939, c2=0.02151324030769296 ...................
[CV]  c1=0.2706908946183939, c2=0.02151324030769296, score=0.790487 -   1.9s
[CV] c1=0.3643149366192033, c2=0.0009978255363559774 .................
[CV]  c1=0.3643149366192033, c2=0.0009978255363559774, score=0.856636 -   1.9s
[CV] c1=2.1431893434065863, c2=0.04729229205814732 ...................
[CV]  c1=2.1431893434065863, c2=0.04729229205814732, score=0.725787 -   1.8s
[CV] c1=0.7064152281652902, c2=0.019882654503059462 ..................
[CV]  c1=0.7064152281652902, c2=0.019882654503059462, score=0.820096 -   1.9s
[CV] c1=0.6529483683016691, c2=0.01034882957123384 ...................
[CV]  c1=0.6529483683016691, c2=0.01034882957123384, score=0.832139 -   2.1s
[CV] c1=0.015337908665877368, c2=0.01522986016464443 .................
[CV]  c1=0.015337908665877368, c2=0.01522986016464443, score=0.842002 -   1.9s
[CV] c1=0.23885556928630047, c2=0.07184940688793977 ..................
[CV]  c1=0.23885556928630047, c2=0.07184940688793977, score=0.920574 -   2.1s
[CV] c1=0.009065526878986268, c2=0.025932531214409183 ................
[CV]  c1=0.009065526878986268, c2=0.025932531214409183, score=0.882738 -   1.9s
[CV] c1=1.366991524398579, c2=0.020479834445268998 ...................
[CV]  c1=1.366991524398579, c2=0.020479834445268998, score=0.625561 -   1.9s
[CV] c1=0.5412057773519506, c2=0.019423451702316772 ..................
[CV]  c1=0.5412057773519506, c2=0.019423451702316772, score=0.906416 -   1.5s
[CV] c1=1.3584172585910317, c2=0.04569122814466098 ...................
[CV]  c1=1.3584172585910317, c2=0.04569122814466098, score=0.767116 -   1.3s
[CV] c1=0.6330819074475255, c2=0.0754904814599407 ....................
[CV]  c1=0.6330819074475255, c2=0.0754904814599407, score=0.845829 -   1.9s
[CV] c1=0.3302917103842651, c2=0.01439899910204362 ...................
[CV]  c1=0.3302917103842651, c2=0.01439899910204362, score=0.778753 -   1.9s
[CV] c1=0.04461843019130379, c2=0.05337193403657713 ..................
[CV]  c1=0.04461843019130379, c2=0.05337193403657713, score=0.806003 -   1.9s
[CV] c1=0.22031984682221156, c2=0.0046626957087946815 ................
[CV]  c1=0.22031984682221156, c2=0.0046626957087946815, score=0.864654 -   1.8s
[CV] c1=0.4491477657448823, c2=0.013280307330926387 ..................
[CV]  c1=0.4491477657448823, c2=0.013280307330926387, score=0.869687 -   2.1s
[CV] c1=0.8647730574836087, c2=0.0970708105467648 ....................
[CV]  c1=0.8647730574836087, c2=0.0970708105467648, score=0.789042 -   1.9s
[CV] c1=0.6601803389256473, c2=0.023692212124973536 ..................
[CV]  c1=0.6601803389256473, c2=0.023692212124973536, score=0.695587 -   1.7s
[CV] c1=0.13561955665719458, c2=0.014302567441806184 .................
[CV]  c1=0.13561955665719458, c2=0.014302567441806184, score=0.873928 -   1.7s
[CV] c1=1.1044783993654101, c2=0.05291406077682427 ...................
[CV]  c1=1.1044783993654101, c2=0.05291406077682427, score=0.636160 -   1.9s
[CV] c1=0.8278525667904352, c2=0.009432483141835871 ..................
[CV]  c1=0.8278525667904352, c2=0.009432483141835871, score=0.690123 -   1.5s
[CV] c1=1.366991524398579, c2=0.020479834445268998 ...................
[CV]  c1=1.366991524398579, c2=0.020479834445268998, score=0.792686 -   1.8s
[CV] c1=0.13124705595025002, c2=0.0010887504981316044 ................
[CV]  c1=0.13124705595025002, c2=0.0010887504981316044, score=0.786465 -   1.5s
[CV] c1=0.4998040813707532, c2=0.10889492103914494 ...................
[CV]  c1=0.4998040813707532, c2=0.10889492103914494, score=0.854778 -   1.9s
[CV] c1=0.11692630779513653, c2=0.03725061719890816 ..................
[CV]  c1=0.11692630779513653, c2=0.03725061719890816, score=0.897267 -   1.9s
[CV] c1=0.058711308518582445, c2=0.02251420664674674 .................
[CV]  c1=0.058711308518582445, c2=0.02251420664674674, score=0.757105 -   1.4s
[CV] c1=0.8629551848259368, c2=0.019110597500684764 ..................
[CV]  c1=0.8629551848259368, c2=0.019110597500684764, score=0.691885 -   2.0s
[CV] c1=0.5447928262364046, c2=0.01843686346313653 ...................
[CV]  c1=0.5447928262364046, c2=0.01843686346313653, score=0.893441 -   1.9s
[CV] c1=1.1387139361158394, c2=0.08460104164592548 ...................
[CV]  c1=1.1387139361158394, c2=0.08460104164592548, score=0.864228 -   1.9s
[CV] c1=0.9931748013636729, c2=0.03408727602776528 ...................
[CV]  c1=0.9931748013636729, c2=0.03408727602776528, score=0.654164 -   2.0s
[CV] c1=0.6174451132397957, c2=0.10171980853699147 ...................
[CV]  c1=0.6174451132397957, c2=0.10171980853699147, score=0.849754 -   1.8s
[CV] c1=0.1863132658196787, c2=7.583490561502509e-05 .................
[CV]  c1=0.1863132658196787, c2=7.583490561502509e-05, score=0.765891 -   1.5s
[CV] c1=0.20903371741605464, c2=0.008299462354138828 .................
[CV]  c1=0.20903371741605464, c2=0.008299462354138828, score=0.859573 -   1.6s
[CV] c1=0.059406639633605214, c2=0.03038025530749503 .................
[CV]  c1=0.059406639633605214, c2=0.03038025530749503, score=0.849702 -   1.9s
[CV] c1=0.8189773791881225, c2=0.010261197235310727 ..................
[CV]  c1=0.8189773791881225, c2=0.010261197235310727, score=0.693453 -   1.5s
[CV] c1=0.13124705595025002, c2=0.0010887504981316044 ................
[CV]  c1=0.13124705595025002, c2=0.0010887504981316044, score=0.874767 -   1.4s
[CV] c1=0.02775945656892152, c2=0.015302423336133545 .................
[CV]  c1=0.02775945656892152, c2=0.015302423336133545, score=0.882668 -   1.7s
[CV] c1=0.05467857850930804, c2=0.08083723582176451 ..................
[CV]  c1=0.05467857850930804, c2=0.08083723582176451, score=0.834325 -   1.8s
[CV] c1=0.38210043219704326, c2=0.017243821051292105 .................
[CV]  c1=0.38210043219704326, c2=0.017243821051292105, score=0.912377 -   1.7s
[CV] c1=2.0621585629989037, c2=0.0522125796760172 ....................
[CV]  c1=2.0621585629989037, c2=0.0522125796760172, score=0.731609 -   1.8s
[CV] c1=0.09468157333065239, c2=0.13639551484322177 ..................
[CV]  c1=0.09468157333065239, c2=0.13639551484322177, score=0.737938 -   1.4s
[CV] c1=0.4491477657448823, c2=0.013280307330926387 ..................
[CV]  c1=0.4491477657448823, c2=0.013280307330926387, score=0.847956 -   1.8s
[CV] c1=0.1284977388476457, c2=0.021114701460845736 ..................
[CV]  c1=0.1284977388476457, c2=0.021114701460845736, score=0.907599 -   2.0s
[CV] c1=0.07084735591017224, c2=0.04750922323575954 ..................
[CV]  c1=0.07084735591017224, c2=0.04750922323575954, score=0.893619 -   1.9s
[CV] c1=0.13561955665719458, c2=0.014302567441806184 .................
[CV]  c1=0.13561955665719458, c2=0.014302567441806184, score=0.772624 -   1.5s
[CV] c1=0.23885556928630047, c2=0.07184940688793977 ..................
[CV]  c1=0.23885556928630047, c2=0.07184940688793977, score=0.852183 -   2.0s
[CV] c1=0.009065526878986268, c2=0.025932531214409183 ................
[CV]  c1=0.009065526878986268, c2=0.025932531214409183, score=0.836276 -   1.9s
[CV] c1=0.03556078386849118, c2=0.12257473271132889 ..................
[CV]  c1=0.03556078386849118, c2=0.12257473271132889, score=0.861188 -   1.7s
[CV] c1=0.5412057773519506, c2=0.019423451702316772 ..................
[CV]  c1=0.5412057773519506, c2=0.019423451702316772, score=0.749517 -   1.4s
[CV] c1=0.22448450386700614, c2=0.07651244824214327 ..................
[CV]  c1=0.22448450386700614, c2=0.07651244824214327, score=0.724396 -   1.5s
[CV] c1=0.11692630779513653, c2=0.03725061719890816 ..................
[CV]  c1=0.11692630779513653, c2=0.03725061719890816, score=0.799708 -   1.9s
[CV] c1=0.2706908946183939, c2=0.02151324030769296 ...................
[CV]  c1=0.2706908946183939, c2=0.02151324030769296, score=0.915796 -   2.0s
[CV] c1=0.3643149366192033, c2=0.0009978255363559774 .................
[CV]  c1=0.3643149366192033, c2=0.0009978255363559774, score=0.782436 -   1.9s
[CV] c1=2.1431893434065863, c2=0.04729229205814732 ...................
[CV]  c1=2.1431893434065863, c2=0.04729229205814732, score=0.599577 -   1.9s
[CV] c1=0.21757149590542535, c2=0.05411166075000648 ..................
[CV]  c1=0.21757149590542535, c2=0.05411166075000648, score=0.902926 -   2.0s
[CV] c1=0.4695996262159415, c2=0.012219108741793022 ..................
[CV]  c1=0.4695996262159415, c2=0.012219108741793022, score=0.749517 -   1.9s
[CV] c1=0.015337908665877368, c2=0.01522986016464443 .................
[CV]  c1=0.015337908665877368, c2=0.01522986016464443, score=0.856962 -   1.8s
[CV] c1=0.8193848720424386, c2=0.009348146490943097 ..................
[CV]  c1=0.8193848720424386, c2=0.009348146490943097, score=0.717951 -   1.9s
[CV] c1=0.7708160166511858, c2=0.01474713182811392 ...................
[CV]  c1=0.7708160166511858, c2=0.01474713182811392, score=0.818250 -   2.0s
[CV] c1=0.15608280518018833, c2=0.0037309546813542684 ................
[CV]  c1=0.15608280518018833, c2=0.0037309546813542684, score=0.804732 -   1.9s
[CV] c1=0.13124705595025002, c2=0.0010887504981316044 ................
[CV]  c1=0.13124705595025002, c2=0.0010887504981316044, score=0.902707 -   1.4s
[CV] c1=0.02775945656892152, c2=0.015302423336133545 .................
[CV]  c1=0.02775945656892152, c2=0.015302423336133545, score=0.843385 -   1.6s
[CV] c1=0.20750646821167598, c2=0.004065859926481305 .................
[CV]  c1=0.20750646821167598, c2=0.004065859926481305, score=0.914853 -   1.9s
[CV] c1=0.38210043219704326, c2=0.017243821051292105 .................
[CV]  c1=0.38210043219704326, c2=0.017243821051292105, score=0.790487 -   1.9s
[CV] c1=0.8629551848259368, c2=0.019110597500684764 ..................
[CV]  c1=0.8629551848259368, c2=0.019110597500684764, score=0.825569 -   1.8s
[CV] c1=0.12941516017251065, c2=0.07183735811674406 ..................
[CV]  c1=0.12941516017251065, c2=0.07183735811674406, score=0.791300 -   2.0s
[CV] c1=0.399666147368836, c2=0.07767309745627038 ....................
[CV]  c1=0.399666147368836, c2=0.07767309745627038, score=0.851406 -   1.9s
[CV] c1=0.9931748013636729, c2=0.03408727602776528 ...................
[CV]  c1=0.9931748013636729, c2=0.03408727602776528, score=0.880822 -   1.8s
[CV] c1=0.6174451132397957, c2=0.10171980853699147 ...................
[CV]  c1=0.6174451132397957, c2=0.10171980853699147, score=0.875830 -   2.0s
[CV] c1=0.063206718027962, c2=0.08339203031258703 ....................
[CV]  c1=0.063206718027962, c2=0.08339203031258703, score=0.885255 -   1.9s
[CV] c1=0.570377342351319, c2=0.01615700916680283 ....................
[CV]  c1=0.570377342351319, c2=0.01615700916680283, score=0.892252 -   1.9s
[CV] c1=0.8218318280963297, c2=0.013923068013422944 ..................
[CV]  c1=0.8218318280963297, c2=0.013923068013422944, score=0.713726 -   1.5s
[CV] c1=0.005197882949506854, c2=0.1499306041909397 ..................
[CV]  c1=0.005197882949506854, c2=0.1499306041909397, score=0.774754 -   1.4s
[CV] c1=0.1715601414524336, c2=0.050037068923519834 ..................
[CV]  c1=0.1715601414524336, c2=0.050037068923519834, score=0.867615 -   1.2s
[CV] c1=0.19190767744484075, c2=0.0032821653505566563 ................
[CV]  c1=0.19190767744484075, c2=0.0032821653505566563, score=0.767525 -   1.4s
[CV] c1=0.20750646821167598, c2=0.004065859926481305 .................
[CV]  c1=0.20750646821167598, c2=0.004065859926481305, score=0.765249 -   1.5s
[CV] c1=0.23679553269455206, c2=0.14189844159010506 ..................
[CV]  c1=0.23679553269455206, c2=0.14189844159010506, score=0.740542 -   1.6s
[CV] c1=0.1254220237412328, c2=0.02247592938075937 ...................
[CV]  c1=0.1254220237412328, c2=0.02247592938075937, score=0.774296 -   1.5s
[CV] c1=0.22031984682221156, c2=0.0046626957087946815 ................
[CV]  c1=0.22031984682221156, c2=0.0046626957087946815, score=0.901316 -   1.9s
[CV] c1=0.4491477657448823, c2=0.013280307330926387 ..................
[CV]  c1=0.4491477657448823, c2=0.013280307330926387, score=0.906928 -   1.8s
[CV] c1=0.4365159193437625, c2=0.014911415286971022 ..................
[CV]  c1=0.4365159193437625, c2=0.014911415286971022, score=0.860538 -   1.9s
[CV] c1=0.16685041917886118, c2=0.004778444492952933 .................
[CV]  c1=0.16685041917886118, c2=0.004778444492952933, score=0.748573 -   1.5s
[CV] c1=0.48016223926155366, c2=0.007210117655257155 .................
[CV]  c1=0.48016223926155366, c2=0.007210117655257155, score=0.895508 -   1.9s
[CV] c1=0.23885556928630047, c2=0.07184940688793977 ..................
[CV]  c1=0.23885556928630047, c2=0.07184940688793977, score=0.750031 -   1.5s
[CV] c1=0.7708160166511858, c2=0.01474713182811392 ...................
[CV]  c1=0.7708160166511858, c2=0.01474713182811392, score=0.714311 -   1.9s
[CV] c1=0.6320018014954842, c2=0.033209606771190565 ..................
[CV]  c1=0.6320018014954842, c2=0.033209606771190565, score=0.854179 -   2.0s
[CV] c1=0.007540700413374269, c2=0.010604719659122753 ................
[CV]  c1=0.007540700413374269, c2=0.010604719659122753, score=0.803403 -   1.5s
[CV] c1=0.4998040813707532, c2=0.10889492103914494 ...................
[CV]  c1=0.4998040813707532, c2=0.10889492103914494, score=0.753985 -   1.2s
[CV] c1=0.10997220238437055, c2=0.04134186740164633 ..................
[CV]  c1=0.10997220238437055, c2=0.04134186740164633, score=0.797318 -   1.7s
[CV] c1=0.3302917103842651, c2=0.01439899910204362 ...................
[CV]  c1=0.3302917103842651, c2=0.01439899910204362, score=0.914145 -   2.0s
[CV] c1=0.04461843019130379, c2=0.05337193403657713 ..................
[CV]  c1=0.04461843019130379, c2=0.05337193403657713, score=0.761011 -   1.5s
[CV] c1=0.07509945199115833, c2=0.12332472084187628 ..................
[CV]  c1=0.07509945199115833, c2=0.12332472084187628, score=0.765249 -   1.5s
[CV] c1=2.1431893434065863, c2=0.04729229205814732 ...................
[CV]  c1=2.1431893434065863, c2=0.04729229205814732, score=0.552320 -   2.1s
[CV] c1=0.4365159193437625, c2=0.014911415286971022 ..................
[CV]  c1=0.4365159193437625, c2=0.014911415286971022, score=0.908403 -   1.8s
[CV] c1=1.0502826134029992, c2=0.17918250898342758 ...................
[CV]  c1=1.0502826134029992, c2=0.17918250898342758, score=0.633941 -   1.9s
[CV] c1=0.5864662497615412, c2=0.034847199516674664 ..................
[CV]  c1=0.5864662497615412, c2=0.034847199516674664, score=0.900429 -   1.8s
[CV] c1=0.254075386454865, c2=0.00724647124354611 ....................
[CV]  c1=0.254075386454865, c2=0.00724647124354611, score=0.910242 -   1.9s
[CV] c1=0.009065526878986268, c2=0.025932531214409183 ................
[CV]  c1=0.009065526878986268, c2=0.025932531214409183, score=0.783086 -   1.5s
[CV] c1=0.15608280518018833, c2=0.0037309546813542684 ................
[CV]  c1=0.15608280518018833, c2=0.0037309546813542684, score=0.910705 -   1.9s
[CV] c1=0.007540700413374269, c2=0.010604719659122753 ................
[CV]  c1=0.007540700413374269, c2=0.010604719659122753, score=0.807172 -   1.6s
[CV] c1=0.22448450386700614, c2=0.07651244824214327 ..................
[CV]  c1=0.22448450386700614, c2=0.07651244824214327, score=0.787617 -   1.9s
[CV] c1=1.513609908780002, c2=0.05998105177648675 ....................
[CV]  c1=1.513609908780002, c2=0.05998105177648675, score=0.731341 -   1.8s
[CV] c1=0.20704229591469211, c2=0.005278425652797891 .................
[CV]  c1=0.20704229591469211, c2=0.005278425652797891, score=0.870032 -   1.7s
[CV] c1=0.6541990907453599, c2=0.08590006336747316 ...................
[CV]  c1=0.6541990907453599, c2=0.08590006336747316, score=0.719667 -   1.5s
[CV] c1=0.5447928262364046, c2=0.01843686346313653 ...................
[CV]  c1=0.5447928262364046, c2=0.01843686346313653, score=0.814762 -   1.8s
[CV] c1=1.1387139361158394, c2=0.08460104164592548 ...................
[CV]  c1=1.1387139361158394, c2=0.08460104164592548, score=0.752752 -   1.7s
[CV] c1=0.9931748013636729, c2=0.03408727602776528 ...................
[CV]  c1=0.9931748013636729, c2=0.03408727602776528, score=0.687456 -   1.5s
[CV] c1=0.6601803389256473, c2=0.023692212124973536 ..................
[CV]  c1=0.6601803389256473, c2=0.023692212124973536, score=0.724401 -   1.9s
[CV] c1=0.12646106745866992, c2=0.03200739386192467 ..................
[CV]  c1=0.12646106745866992, c2=0.03200739386192467, score=0.895218 -   1.8s
[CV] c1=0.6033808340460748, c2=0.3556108804306439 ....................
[CV]  c1=0.6033808340460748, c2=0.3556108804306439, score=0.682655 -   1.5s
[CV] c1=0.059406639633605214, c2=0.03038025530749503 .................
[CV]  c1=0.059406639633605214, c2=0.03038025530749503, score=0.851877 -   1.8s
[CV] c1=0.03556078386849118, c2=0.12257473271132889 ..................
[CV]  c1=0.03556078386849118, c2=0.12257473271132889, score=0.810739 -   1.9s
[CV] c1=0.1715601414524336, c2=0.050037068923519834 ..................
[CV]  c1=0.1715601414524336, c2=0.050037068923519834, score=0.899088 -   1.3s
[CV] c1=0.017558988160237286, c2=0.01678386664685832 .................
[CV]  c1=0.017558988160237286, c2=0.01678386664685832, score=0.780173 -   1.1s
[CV] c1=0.6330819074475255, c2=0.0754904814599407 ....................
[CV]  c1=0.6330819074475255, c2=0.0754904814599407, score=0.717951 -   1.9s
[CV] c1=1.559391616470173, c2=0.006131235496701872 ...................
[CV]  c1=1.559391616470173, c2=0.006131235496701872, score=0.675987 -   2.1s
[CV] c1=0.04461843019130379, c2=0.05337193403657713 ..................
[CV]  c1=0.04461843019130379, c2=0.05337193403657713, score=0.846395 -   1.9s
[CV] c1=0.24985945961815742, c2=0.02956814677511742 ..................
[CV]  c1=0.24985945961815742, c2=0.02956814677511742, score=0.756733 -   1.6s
[CV] c1=0.4491477657448823, c2=0.013280307330926387 ..................
[CV]  c1=0.4491477657448823, c2=0.013280307330926387, score=0.741847 -   1.6s
[CV] c1=0.21757149590542535, c2=0.05411166075000648 ..................
[CV]  c1=0.21757149590542535, c2=0.05411166075000648, score=0.852183 -   1.9s
[CV] c1=1.0502826134029992, c2=0.17918250898342758 ...................
[CV]  c1=1.0502826134029992, c2=0.17918250898342758, score=0.707320 -   1.5s
[CV] c1=0.3705508150153749, c2=0.009989308228017559 ..................
[CV]  c1=0.3705508150153749, c2=0.009989308228017559, score=0.878036 -   2.4s
[CV] c1=0.254075386454865, c2=0.00724647124354611 ....................
[CV]  c1=0.254075386454865, c2=0.00724647124354611, score=0.867254 -   1.8s
[CV] c1=0.009065526878986268, c2=0.025932531214409183 ................
[CV]  c1=0.009065526878986268, c2=0.025932531214409183, score=0.857790 -   1.8s
[CV] c1=1.366991524398579, c2=0.020479834445268998 ...................
[CV]  c1=1.366991524398579, c2=0.020479834445268998, score=0.683416 -   2.0s
[CV] c1=0.5412057773519506, c2=0.019423451702316772 ..................
[CV]  c1=0.5412057773519506, c2=0.019423451702316772, score=0.830237 -   1.5s
[CV] c1=1.3584172585910317, c2=0.04569122814466098 ...................
[CV]  c1=1.3584172585910317, c2=0.04569122814466098, score=0.683623 -   1.8s
[CV] c1=0.2650897069163686, c2=0.11179717290281543 ...................
[CV]  c1=0.2650897069163686, c2=0.11179717290281543, score=0.839929 -   1.8s
[CV] c1=0.23679553269455206, c2=0.14189844159010506 ..................
[CV]  c1=0.23679553269455206, c2=0.14189844159010506, score=0.904234 -   1.9s
[CV] c1=2.0621585629989037, c2=0.0522125796760172 ....................
[CV]  c1=2.0621585629989037, c2=0.0522125796760172, score=0.594015 -   1.6s
[CV] c1=0.22031984682221156, c2=0.0046626957087946815 ................
[CV]  c1=0.22031984682221156, c2=0.0046626957087946815, score=0.825601 -   1.9s
[CV] c1=0.06594316565753498, c2=0.11921560360399691 ..................
[CV]  c1=0.06594316565753498, c2=0.11921560360399691, score=0.810739 -   1.9s
[CV] c1=0.8647730574836087, c2=0.0970708105467648 ....................
[CV]  c1=0.8647730574836087, c2=0.0970708105467648, score=0.792488 -   1.9s
[CV] c1=0.07084735591017224, c2=0.04750922323575954 ..................
[CV]  c1=0.07084735591017224, c2=0.04750922323575954, score=0.846395 -   1.9s
[CV] c1=0.9404348913615942, c2=0.09370930925344806 ...................
[CV]  c1=0.9404348913615942, c2=0.09370930925344806, score=0.680252 -   1.5s
[CV] c1=0.254075386454865, c2=0.00724647124354611 ....................
[CV]  c1=0.254075386454865, c2=0.00724647124354611, score=0.878397 -   1.9s
[CV] c1=0.059406639633605214, c2=0.03038025530749503 .................
[CV]  c1=0.059406639633605214, c2=0.03038025530749503, score=0.800281 -   1.9s
[CV] c1=0.03556078386849118, c2=0.12257473271132889 ..................
[CV]  c1=0.03556078386849118, c2=0.12257473271132889, score=0.824150 -   1.9s
[CV] c1=0.1715601414524336, c2=0.050037068923519834 ..................
[CV]  c1=0.1715601414524336, c2=0.050037068923519834, score=0.791084 -   1.3s
Training done in: 26.037176s
     Saving training model...
        Saving training model done in: 0.013148s
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Prediction done in: 0.042423s