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

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Run2_v11.txt 72.6 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: Run2
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: FalseS4: False
Run variant: 11
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003714s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0      1
0        lemma      :
1       postag      :
2     -1:lemma     in
3    -1:postag     IN
4     +1:lemma     m9
5    +1:postag     NN
6       hUpper  False
7       hLower  False
8       hGreek  False
9         symb  False
10   lemma[:1]      :
11  postag[:1]      :
--------------------------- FeaturesTest -----------------------------
             0           1
0        lemma  delta-arca
1       postag          NN
2     -1:lemma           _
3    -1:postag          NN
4     +1:lemma           _
5    +1:postag          CD
6       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10   lemma[:1]           d
11  postag[:1]           N
12   lemma[:2]          de
13  postag[:2]          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=1.1737791044191024, c2=0.0503685823221745 ....................
[CV]  c1=1.1737791044191024, c2=0.0503685823221745, score=0.615765 -   1.0s
[CV] c1=0.0015203736654497947, c2=0.043272463366507016 ...............
[CV]  c1=0.0015203736654497947, c2=0.043272463366507016, score=0.835778 -   1.3s
[CV] c1=0.025215120194713884, c2=0.030343399106649432 ................
[CV]  c1=0.025215120194713884, c2=0.030343399106649432, score=0.746549 -   1.0s
[CV] c1=0.3096504803558093, c2=0.045157159542294 .....................
[CV]  c1=0.3096504803558093, c2=0.045157159542294, score=0.808970 -   1.2s
[CV] c1=0.24763205369925445, c2=0.04535768695070786 ..................
[CV]  c1=0.24763205369925445, c2=0.04535768695070786, score=0.782361 -   1.3s
[CV] c1=0.4410638706793022, c2=0.015647824703284224 ..................
[CV]  c1=0.4410638706793022, c2=0.015647824703284224, score=0.795295 -   1.3s
[CV] c1=0.11787982050132804, c2=0.00511440579021737 ..................
[CV]  c1=0.11787982050132804, c2=0.00511440579021737, score=0.709691 -   1.0s
[CV] c1=0.11832315530079929, c2=0.020378894136726833 .................
[CV]  c1=0.11832315530079929, c2=0.020378894136726833, score=0.807444 -   1.3s
[CV] c1=0.5440903665077165, c2=0.3099815170654506 ....................
[CV]  c1=0.5440903665077165, c2=0.3099815170654506, score=0.807582 -   1.2s
[CV] c1=0.10196253479231147, c2=0.018734594513154987 .................
[CV]  c1=0.10196253479231147, c2=0.018734594513154987, score=0.888423 -   1.3s
[CV] c1=0.458201661242804, c2=0.021359783199121882 ...................
[CV]  c1=0.458201661242804, c2=0.021359783199121882, score=0.725482 -   1.3s
[CV] c1=0.12254248981059171, c2=0.06831278518131581 ..................
[CV]  c1=0.12254248981059171, c2=0.06831278518131581, score=0.874621 -   1.3s
[CV] c1=0.21994780325136476, c2=0.03435940326076802 ..................
[CV]  c1=0.21994780325136476, c2=0.03435940326076802, score=0.769921 -   1.3s
[CV] c1=0.46340524083105666, c2=0.11920045677929947 ..................
[CV]  c1=0.46340524083105666, c2=0.11920045677929947, score=0.730376 -   1.3s
[CV] c1=0.42601880841752515, c2=0.06121757907222856 ..................
[CV]  c1=0.42601880841752515, c2=0.06121757907222856, score=0.796656 -   1.3s
[CV] c1=0.8594289151037091, c2=0.018207130961789934 ..................
[CV]  c1=0.8594289151037091, c2=0.018207130961789934, score=0.840903 -   1.2s
[CV] c1=0.6911159946959096, c2=0.17144416989340558 ...................
[CV]  c1=0.6911159946959096, c2=0.17144416989340558, score=0.804698 -   1.3s
[CV] c1=0.17477239878333095, c2=0.0018835612435591305 ................
[CV]  c1=0.17477239878333095, c2=0.0018835612435591305, score=0.726747 -   1.0s
[CV] c1=0.06807077743665808, c2=0.04321612161941586 ..................
[CV]  c1=0.06807077743665808, c2=0.04321612161941586, score=0.834752 -   1.3s
[CV] c1=0.050612644878370215, c2=0.01086669202695277 .................
[CV]  c1=0.050612644878370215, c2=0.01086669202695277, score=0.691685 -   1.0s
[CV] c1=0.22045279192511585, c2=0.002886411856233863 .................
[CV]  c1=0.22045279192511585, c2=0.002886411856233863, score=0.723526 -   1.0s
[CV] c1=0.12756488541315156, c2=0.1424732863173898 ...................
[CV]  c1=0.12756488541315156, c2=0.1424732863173898, score=0.775138 -   1.3s
[CV] c1=0.025218009892413143, c2=0.0881377521145383 ..................
[CV]  c1=0.025218009892413143, c2=0.0881377521145383, score=0.820193 -   1.2s
[CV] c1=0.12254248981059171, c2=0.06831278518131581 ..................
[CV]  c1=0.12254248981059171, c2=0.06831278518131581, score=0.793772 -   1.2s
[CV] c1=0.42503600745833686, c2=0.040884389430562516 .................
[CV]  c1=0.42503600745833686, c2=0.040884389430562516, score=0.861547 -   1.2s
[CV] c1=0.17981746331329254, c2=0.16159493814085846 ..................
[CV]  c1=0.17981746331329254, c2=0.16159493814085846, score=0.706355 -   1.0s
[CV] c1=0.7595869383888315, c2=0.00037660876745005415 ................
[CV]  c1=0.7595869383888315, c2=0.00037660876745005415, score=0.722815 -   1.4s
[CV] c1=0.027717721652293147, c2=0.12922414899863377 .................
[CV]  c1=0.027717721652293147, c2=0.12922414899863377, score=0.825916 -   1.3s
[CV] c1=0.24763205369925445, c2=0.04535768695070786 ..................
[CV]  c1=0.24763205369925445, c2=0.04535768695070786, score=0.712358 -   1.0s
[CV] c1=0.131817172427731, c2=0.029292022337655793 ...................
[CV]  c1=0.131817172427731, c2=0.029292022337655793, score=0.815862 -   1.3s
[CV] c1=0.4424639071667541, c2=0.007118912882881214 ..................
[CV]  c1=0.4424639071667541, c2=0.007118912882881214, score=0.787593 -   1.2s
[CV] c1=0.3078928283188915, c2=0.12668896958051465 ...................
[CV]  c1=0.3078928283188915, c2=0.12668896958051465, score=0.793399 -   1.3s
[CV] c1=0.2103306566296855, c2=0.018678447139729985 ..................
[CV]  c1=0.2103306566296855, c2=0.018678447139729985, score=0.803971 -   1.3s
[CV] c1=0.1832420300449845, c2=0.06503958245715412 ...................
[CV]  c1=0.1832420300449845, c2=0.06503958245715412, score=0.803183 -   1.2s
[CV] c1=0.282800735688333, c2=0.01475022603131625 ....................
[CV]  c1=0.282800735688333, c2=0.01475022603131625, score=0.822241 -   1.3s
[CV] c1=2.394620233040506, c2=0.0286936906880715 .....................
[CV]  c1=2.394620233040506, c2=0.0286936906880715, score=0.594553 -   1.3s
[CV] c1=0.42503600745833686, c2=0.040884389430562516 .................
[CV]  c1=0.42503600745833686, c2=0.040884389430562516, score=0.798182 -   1.2s
[CV] c1=0.17981746331329254, c2=0.16159493814085846 ..................
[CV]  c1=0.17981746331329254, c2=0.16159493814085846, score=0.779024 -   1.2s
[CV] c1=0.017130404947333786, c2=0.05860893455901851 .................
[CV]  c1=0.017130404947333786, c2=0.05860893455901851, score=0.813318 -   1.3s
[CV] c1=0.0038306769448924424, c2=0.03083812352429501 ................
[CV]  c1=0.0038306769448924424, c2=0.03083812352429501, score=0.834253 -   1.2s
[CV] c1=0.3191361728024244, c2=0.05516986227728772 ...................
[CV]  c1=0.3191361728024244, c2=0.05516986227728772, score=0.788267 -   1.3s
[CV] c1=0.23444651773130534, c2=0.12154277130908031 ..................
[CV]  c1=0.23444651773130534, c2=0.12154277130908031, score=0.794649 -   1.3s
[CV] c1=0.11787982050132804, c2=0.00511440579021737 ..................
[CV]  c1=0.11787982050132804, c2=0.00511440579021737, score=0.819605 -   1.3s
[CV] c1=0.23890231766950196, c2=0.05697134519018171 ..................
[CV]  c1=0.23890231766950196, c2=0.05697134519018171, score=0.775190 -   1.3s
[CV] c1=0.8426472894853475, c2=0.022121397993794263 ..................
[CV]  c1=0.8426472894853475, c2=0.022121397993794263, score=0.740176 -   1.2s
[CV] c1=0.7766989754460251, c2=0.16498332723307754 ...................
[CV]  c1=0.7766989754460251, c2=0.16498332723307754, score=0.579310 -   1.0s
[CV] c1=0.025218009892413143, c2=0.0881377521145383 ..................
[CV]  c1=0.025218009892413143, c2=0.0881377521145383, score=0.876442 -   1.2s
[CV] c1=2.394620233040506, c2=0.0286936906880715 .....................
[CV]  c1=2.394620233040506, c2=0.0286936906880715, score=0.516821 -   1.3s
[CV] c1=0.2317186836540492, c2=0.11624857531812618 ...................
[CV]  c1=0.2317186836540492, c2=0.11624857531812618, score=0.805946 -   1.3s
[CV] c1=0.04388265699140577, c2=0.03160104744795896 ..................
[CV]  c1=0.04388265699140577, c2=0.03160104744795896, score=0.829084 -   1.3s
[CV] c1=0.42601880841752515, c2=0.06121757907222856 ..................
[CV]  c1=0.42601880841752515, c2=0.06121757907222856, score=0.707695 -   1.0s
[CV] c1=2.058740293905446, c2=0.01917290053653561 ....................
[CV]  c1=2.058740293905446, c2=0.01917290053653561, score=0.753223 -   1.2s
[CV] c1=0.21684213814734443, c2=0.03593812305404936 ..................
[CV]  c1=0.21684213814734443, c2=0.03593812305404936, score=0.689205 -   1.1s
[CV] c1=0.14435726641940544, c2=0.08794909610252337 ..................
[CV]  c1=0.14435726641940544, c2=0.08794909610252337, score=0.869848 -   1.2s
[CV] c1=0.11787982050132804, c2=0.00511440579021737 ..................
[CV]  c1=0.11787982050132804, c2=0.00511440579021737, score=0.817155 -   1.2s
[CV] c1=0.05590883676298723, c2=0.0993113595420101 ...................
[CV]  c1=0.05590883676298723, c2=0.0993113595420101, score=0.807340 -   1.2s
[CV] c1=0.31375314111927305, c2=0.012476767465648183 .................
[CV]  c1=0.31375314111927305, c2=0.012476767465648183, score=0.804519 -   1.2s
[CV] c1=0.12756488541315156, c2=0.1424732863173898 ...................
[CV]  c1=0.12756488541315156, c2=0.1424732863173898, score=0.770325 -   1.3s
[CV] c1=0.037607613879006976, c2=0.08220867425107739 .................
[CV]  c1=0.037607613879006976, c2=0.08220867425107739, score=0.779285 -   1.3s
[CV] c1=0.07403585887276395, c2=0.007830839646642525 .................
[CV]  c1=0.07403585887276395, c2=0.007830839646642525, score=0.711879 -   1.0s
[CV] c1=0.536282293109603, c2=0.05702914887635693 ....................
[CV]  c1=0.536282293109603, c2=0.05702914887635693, score=0.756238 -   1.3s
[CV] c1=0.17981746331329254, c2=0.16159493814085846 ..................
[CV]  c1=0.17981746331329254, c2=0.16159493814085846, score=0.769866 -   1.3s
[CV] c1=0.23762845003649755, c2=0.023404745999519794 .................
[CV]  c1=0.23762845003649755, c2=0.023404745999519794, score=0.802826 -   1.3s
[CV] c1=0.8628027827740573, c2=0.08263923148754658 ...................
[CV]  c1=0.8628027827740573, c2=0.08263923148754658, score=0.635588 -   1.1s
[CV] c1=0.24763205369925445, c2=0.04535768695070786 ..................
[CV]  c1=0.24763205369925445, c2=0.04535768695070786, score=0.769921 -   1.3s
[CV] c1=0.23444651773130534, c2=0.12154277130908031 ..................
[CV]  c1=0.23444651773130534, c2=0.12154277130908031, score=0.745339 -   1.3s
[CV] c1=0.18356677219361633, c2=0.021736366751150326 .................
[CV]  c1=0.18356677219361633, c2=0.021736366751150326, score=0.876765 -   1.2s
[CV] c1=0.23890231766950196, c2=0.05697134519018171 ..................
[CV]  c1=0.23890231766950196, c2=0.05697134519018171, score=0.711023 -   1.0s
[CV] c1=0.5440903665077165, c2=0.3099815170654506 ....................
[CV]  c1=0.5440903665077165, c2=0.3099815170654506, score=0.640670 -   1.2s
[CV] c1=0.10196253479231147, c2=0.018734594513154987 .................
[CV]  c1=0.10196253479231147, c2=0.018734594513154987, score=0.834752 -   1.3s
[CV] c1=0.458201661242804, c2=0.021359783199121882 ...................
[CV]  c1=0.458201661242804, c2=0.021359783199121882, score=0.814155 -   1.3s
[CV] c1=0.12254248981059171, c2=0.06831278518131581 ..................
[CV]  c1=0.12254248981059171, c2=0.06831278518131581, score=0.798033 -   1.3s
[CV] c1=0.2317186836540492, c2=0.11624857531812618 ...................
[CV]  c1=0.2317186836540492, c2=0.11624857531812618, score=0.794649 -   1.2s
[CV] c1=0.44170620149629036, c2=0.03781908368948464 ..................
[CV]  c1=0.44170620149629036, c2=0.03781908368948464, score=0.808656 -   1.3s
[CV] c1=0.21703322462969116, c2=0.06272085484457843 ..................
[CV]  c1=0.21703322462969116, c2=0.06272085484457843, score=0.808970 -   1.2s
[CV] c1=2.058740293905446, c2=0.01917290053653561 ....................
[CV]  c1=2.058740293905446, c2=0.01917290053653561, score=0.635557 -   1.2s
[CV] c1=0.21684213814734443, c2=0.03593812305404936 ..................
[CV]  c1=0.21684213814734443, c2=0.03593812305404936, score=0.806810 -   1.3s
[CV] c1=0.5327842533564279, c2=0.05583704276129795 ...................
[CV]  c1=0.5327842533564279, c2=0.05583704276129795, score=0.825202 -   1.3s
[CV] c1=0.3779613778796252, c2=0.06380491640710521 ...................
[CV]  c1=0.3779613778796252, c2=0.06380491640710521, score=0.736747 -   1.3s
[CV] c1=0.050612644878370215, c2=0.01086669202695277 .................
[CV]  c1=0.050612644878370215, c2=0.01086669202695277, score=0.816429 -   1.2s
[CV] c1=0.1195267675625868, c2=0.027374113746274298 ..................
[CV]  c1=0.1195267675625868, c2=0.027374113746274298, score=0.700126 -   1.0s
[CV] c1=0.7766989754460251, c2=0.16498332723307754 ...................
[CV]  c1=0.7766989754460251, c2=0.16498332723307754, score=0.734494 -   1.2s
[CV] c1=0.037607613879006976, c2=0.08220867425107739 .................
[CV]  c1=0.037607613879006976, c2=0.08220867425107739, score=0.806408 -   1.2s
[CV] c1=0.006811093538251813, c2=0.010520081282893147 ................
[CV]  c1=0.006811093538251813, c2=0.010520081282893147, score=0.771426 -   1.2s
[CV] c1=0.07454949499320904, c2=0.0550794378977219 ...................
[CV]  c1=0.07454949499320904, c2=0.0550794378977219, score=0.785358 -   1.2s
[CV] c1=0.4271917523307874, c2=0.002464638905271904 ..................
[CV]  c1=0.4271917523307874, c2=0.002464638905271904, score=0.765585 -   1.3s
[CV] c1=0.017130404947333786, c2=0.05860893455901851 .................
[CV]  c1=0.017130404947333786, c2=0.05860893455901851, score=0.834752 -   1.3s
[CV] c1=0.0038306769448924424, c2=0.03083812352429501 ................
[CV]  c1=0.0038306769448924424, c2=0.03083812352429501, score=0.896536 -   1.2s
[CV] c1=0.24763205369925445, c2=0.04535768695070786 ..................
[CV]  c1=0.24763205369925445, c2=0.04535768695070786, score=0.808970 -   1.5s
[CV] c1=0.14435726641940544, c2=0.08794909610252337 ..................
[CV]  c1=0.14435726641940544, c2=0.08794909610252337, score=0.706691 -   1.0s
[CV] c1=0.20990561952782172, c2=0.015296108016395369 .................
[CV]  c1=0.20990561952782172, c2=0.015296108016395369, score=0.819605 -   1.2s
[CV] c1=0.30973402616030876, c2=0.13736697216489255 ..................
[CV]  c1=0.30973402616030876, c2=0.13736697216489255, score=0.773723 -   1.2s
[CV] c1=0.5440903665077165, c2=0.3099815170654506 ....................
[CV]  c1=0.5440903665077165, c2=0.3099815170654506, score=0.643906 -   1.3s
[CV] c1=0.12756488541315156, c2=0.1424732863173898 ...................
[CV]  c1=0.12756488541315156, c2=0.1424732863173898, score=0.870083 -   1.3s
[CV] c1=0.025218009892413143, c2=0.0881377521145383 ..................
[CV]  c1=0.025218009892413143, c2=0.0881377521145383, score=0.800249 -   1.3s
[CV] c1=0.006811093538251813, c2=0.010520081282893147 ................
[CV]  c1=0.006811093538251813, c2=0.010520081282893147, score=0.886156 -   1.2s
[CV] c1=0.42503600745833686, c2=0.040884389430562516 .................
[CV]  c1=0.42503600745833686, c2=0.040884389430562516, score=0.738982 -   1.3s
[CV] c1=0.0015203736654497947, c2=0.043272463366507016 ...............
[CV]  c1=0.0015203736654497947, c2=0.043272463366507016, score=0.899987 -   1.2s
[CV] c1=0.23762845003649755, c2=0.023404745999519794 .................
[CV]  c1=0.23762845003649755, c2=0.023404745999519794, score=0.804519 -   1.3s
[CV] c1=0.0038306769448924424, c2=0.03083812352429501 ................
[CV]  c1=0.0038306769448924424, c2=0.03083812352429501, score=0.825842 -   1.3s
[CV] c1=0.4935402958952068, c2=0.02419215099122692 ...................
[CV]  c1=0.4935402958952068, c2=0.02419215099122692, score=0.734529 -   1.3s
[CV] c1=0.14435726641940544, c2=0.08794909610252337 ..................
[CV]  c1=0.14435726641940544, c2=0.08794909610252337, score=0.775701 -   1.3s
[CV] c1=0.06807077743665808, c2=0.04321612161941586 ..................
[CV]  c1=0.06807077743665808, c2=0.04321612161941586, score=0.736364 -   1.0s
[CV] c1=0.23890231766950196, c2=0.05697134519018171 ..................
[CV]  c1=0.23890231766950196, c2=0.05697134519018171, score=0.865091 -   1.2s
[CV] c1=0.31375314111927305, c2=0.012476767465648183 .................
[CV]  c1=0.31375314111927305, c2=0.012476767465648183, score=0.801439 -   1.3s
[CV] c1=0.7766989754460251, c2=0.16498332723307754 ...................
[CV]  c1=0.7766989754460251, c2=0.16498332723307754, score=0.652236 -   1.3s
[CV] c1=0.1492297401649174, c2=0.027552679994959462 ..................
[CV]  c1=0.1492297401649174, c2=0.027552679994959462, score=0.691797 -   1.0s
[CV] c1=0.12254248981059171, c2=0.06831278518131581 ..................
[CV]  c1=0.12254248981059171, c2=0.06831278518131581, score=0.781773 -   1.3s
[CV] c1=1.1737791044191024, c2=0.0503685823221745 ....................
[CV]  c1=1.1737791044191024, c2=0.0503685823221745, score=0.575659 -   1.4s
[CV] c1=0.5305778683155147, c2=0.005668747963063156 ..................
[CV]  c1=0.5305778683155147, c2=0.005668747963063156, score=0.710693 -   1.1s
[CV] c1=0.42601880841752515, c2=0.06121757907222856 ..................
[CV]  c1=0.42601880841752515, c2=0.06121757907222856, score=0.789348 -   1.2s
[CV] c1=0.9476705337976937, c2=0.1926367606980468 ....................
[CV]  c1=0.9476705337976937, c2=0.1926367606980468, score=0.726075 -   1.2s
[CV] c1=0.41296226684983756, c2=0.21512516521545022 ..................
[CV]  c1=0.41296226684983756, c2=0.21512516521545022, score=0.760214 -   1.2s
[CV] c1=0.5327842533564279, c2=0.05583704276129795 ...................
[CV]  c1=0.5327842533564279, c2=0.05583704276129795, score=0.733517 -   1.3s
[CV] c1=0.3779613778796252, c2=0.06380491640710521 ...................
[CV]  c1=0.3779613778796252, c2=0.06380491640710521, score=0.815886 -   1.3s
[CV] c1=0.3331714962041435, c2=0.04226005705249611 ...................
[CV]  c1=0.3331714962041435, c2=0.04226005705249611, score=0.712028 -   1.0s
[CV] c1=0.22045279192511585, c2=0.002886411856233863 .................
[CV]  c1=0.22045279192511585, c2=0.002886411856233863, score=0.806755 -   1.2s
[CV] c1=2.380008496466691, c2=0.07980497552038174 ....................
[CV]  c1=2.380008496466691, c2=0.07980497552038174, score=0.516821 -   1.3s
[CV] c1=0.08471835728952182, c2=0.044301977342098925 .................
[CV]  c1=0.08471835728952182, c2=0.044301977342098925, score=0.699856 -   1.0s
[CV] c1=0.006811093538251813, c2=0.010520081282893147 ................
[CV]  c1=0.006811093538251813, c2=0.010520081282893147, score=0.825019 -   1.3s
[CV] c1=0.010611466925381148, c2=0.09394084091301372 .................
[CV]  c1=0.010611466925381148, c2=0.09394084091301372, score=0.750448 -   0.7s
[CV] c1=2.6553171942201708, c2=0.09092926194395391 ...................
[CV]  c1=2.6553171942201708, c2=0.09092926194395391, score=0.662184 -   1.3s
[CV] c1=0.5305778683155147, c2=0.005668747963063156 ..................
[CV]  c1=0.5305778683155147, c2=0.005668747963063156, score=0.871779 -   1.3s
[CV] c1=1.4913209003657608, c2=0.2282246807014886 ....................
[CV]  c1=1.4913209003657608, c2=0.2282246807014886, score=0.525711 -   1.0s
[CV] c1=0.9476705337976937, c2=0.1926367606980468 ....................
[CV]  c1=0.9476705337976937, c2=0.1926367606980468, score=0.562492 -   1.1s
[CV] c1=0.4935402958952068, c2=0.02419215099122692 ...................
[CV]  c1=0.4935402958952068, c2=0.02419215099122692, score=0.775672 -   1.2s
[CV] c1=0.1300689320500606, c2=0.11238014983049277 ...................
[CV]  c1=0.1300689320500606, c2=0.11238014983049277, score=0.873435 -   1.3s
[CV] c1=0.06807077743665808, c2=0.04321612161941586 ..................
[CV]  c1=0.06807077743665808, c2=0.04321612161941586, score=0.811368 -   1.2s
[CV] c1=0.003049708743646972, c2=0.028836111485705886 ................
[CV]  c1=0.003049708743646972, c2=0.028836111485705886, score=0.834061 -   1.3s
[CV] c1=0.1195267675625868, c2=0.027374113746274298 ..................
[CV]  c1=0.1195267675625868, c2=0.027374113746274298, score=0.827702 -   1.3s
[CV] c1=0.18943574994436038, c2=0.18053439427538243 ..................
[CV]  c1=0.18943574994436038, c2=0.18053439427538243, score=0.680380 -   1.1s
[CV] c1=0.08471835728952182, c2=0.044301977342098925 .................
[CV]  c1=0.08471835728952182, c2=0.044301977342098925, score=0.877053 -   1.3s
[CV] c1=0.24884300074040733, c2=0.021050441725641397 .................
[CV]  c1=0.24884300074040733, c2=0.021050441725641397, score=0.863958 -   1.1s
[CV] c1=0.21994780325136476, c2=0.03435940326076802 ..................
[CV]  c1=0.21994780325136476, c2=0.03435940326076802, score=0.711023 -   1.0s
[CV] c1=0.17981746331329254, c2=0.16159493814085846 ..................
[CV]  c1=0.17981746331329254, c2=0.16159493814085846, score=0.744284 -   1.3s
[CV] c1=0.23762845003649755, c2=0.023404745999519794 .................
[CV]  c1=0.23762845003649755, c2=0.023404745999519794, score=0.874944 -   1.3s
[CV] c1=0.0038306769448924424, c2=0.03083812352429501 ................
[CV]  c1=0.0038306769448924424, c2=0.03083812352429501, score=0.714367 -   1.0s
[CV] c1=0.20056628402995214, c2=0.10518678489725607 ..................
[CV]  c1=0.20056628402995214, c2=0.10518678489725607, score=0.799858 -   1.2s
[CV] c1=0.9208886390050295, c2=0.10138205275607248 ...................
[CV]  c1=0.9208886390050295, c2=0.10138205275607248, score=0.652236 -   1.3s
[CV] c1=0.24089848419443627, c2=0.00781397914369322 ..................
[CV]  c1=0.24089848419443627, c2=0.00781397914369322, score=0.823722 -   1.3s
[CV] c1=0.30973402616030876, c2=0.13736697216489255 ..................
[CV]  c1=0.30973402616030876, c2=0.13736697216489255, score=0.677773 -   1.0s
[CV] c1=0.2103306566296855, c2=0.018678447139729985 ..................
[CV]  c1=0.2103306566296855, c2=0.018678447139729985, score=0.872155 -   1.3s
[CV] c1=0.1832420300449845, c2=0.06503958245715412 ...................
[CV]  c1=0.1832420300449845, c2=0.06503958245715412, score=0.687871 -   1.0s
[CV] c1=0.18943574994436038, c2=0.18053439427538243 ..................
[CV]  c1=0.18943574994436038, c2=0.18053439427538243, score=0.790331 -   1.3s
[CV] c1=0.8083187384657832, c2=0.024894315384076254 ..................
[CV]  c1=0.8083187384657832, c2=0.024894315384076254, score=0.821537 -   1.2s
[CV] c1=0.3296254349398862, c2=0.01145103753510277 ...................
[CV]  c1=0.3296254349398862, c2=0.01145103753510277, score=0.707713 -   0.8s
[CV] c1=0.2434876707050573, c2=0.07003665970848026 ...................
[CV]  c1=0.2434876707050573, c2=0.07003665970848026, score=0.862844 -   1.3s
[CV] c1=0.0015203736654497947, c2=0.043272463366507016 ...............
[CV]  c1=0.0015203736654497947, c2=0.043272463366507016, score=0.834061 -   1.2s
[CV] c1=0.23762845003649755, c2=0.023404745999519794 .................
[CV]  c1=0.23762845003649755, c2=0.023404745999519794, score=0.805250 -   1.3s
[CV] c1=0.8628027827740573, c2=0.08263923148754658 ...................
[CV]  c1=0.8628027827740573, c2=0.08263923148754658, score=0.803710 -   1.2s
[CV] c1=0.4935402958952068, c2=0.02419215099122692 ...................
[CV]  c1=0.4935402958952068, c2=0.02419215099122692, score=0.706360 -   1.0s
[CV] c1=0.4410638706793022, c2=0.015647824703284224 ..................
[CV]  c1=0.4410638706793022, c2=0.015647824703284224, score=0.712028 -   1.0s
[CV] c1=0.4424639071667541, c2=0.007118912882881214 ..................
[CV]  c1=0.4424639071667541, c2=0.007118912882881214, score=0.819531 -   1.3s
[CV] c1=0.11832315530079929, c2=0.020378894136726833 .................
[CV]  c1=0.11832315530079929, c2=0.020378894136726833, score=0.680989 -   1.0s
[CV] c1=0.40892327585823135, c2=0.008941164806120979 .................
[CV]  c1=0.40892327585823135, c2=0.008941164806120979, score=0.710693 -   1.0s
[CV] c1=0.32284289275600864, c2=0.11689098305228665 ..................
[CV]  c1=0.32284289275600864, c2=0.11689098305228665, score=0.831643 -   1.2s
[CV] c1=0.18943574994436038, c2=0.18053439427538243 ..................
[CV]  c1=0.18943574994436038, c2=0.18053439427538243, score=0.861491 -   1.3s
[CV] c1=0.004305240207226948, c2=0.044245882811052156 ................
[CV]  c1=0.004305240207226948, c2=0.044245882811052156, score=0.718754 -   1.0s
[CV] c1=0.07403585887276395, c2=0.007830839646642525 .................
[CV]  c1=0.07403585887276395, c2=0.007830839646642525, score=0.786688 -   1.2s
[CV] c1=0.010611466925381148, c2=0.09394084091301372 .................
[CV]  c1=0.010611466925381148, c2=0.09394084091301372, score=0.835572 -   1.3s
[CV] c1=0.4271917523307874, c2=0.002464638905271904 ..................
[CV]  c1=0.4271917523307874, c2=0.002464638905271904, score=0.814904 -   1.2s
[CV] c1=0.7317914094766337, c2=0.01981126828223857 ...................
[CV]  c1=0.7317914094766337, c2=0.01981126828223857, score=0.806547 -   1.4s
[CV] c1=0.3096504803558093, c2=0.045157159542294 .....................
[CV]  c1=0.3096504803558093, c2=0.045157159542294, score=0.797449 -   1.3s
[CV] c1=0.4935402958952068, c2=0.02419215099122692 ...................
[CV]  c1=0.4935402958952068, c2=0.02419215099122692, score=0.855128 -   1.3s
[CV] c1=0.14435726641940544, c2=0.08794909610252337 ..................
[CV]  c1=0.14435726641940544, c2=0.08794909610252337, score=0.775190 -   1.3s
[CV] c1=0.06807077743665808, c2=0.04321612161941586 ..................
[CV]  c1=0.06807077743665808, c2=0.04321612161941586, score=0.897876 -   1.3s
[CV] c1=0.003049708743646972, c2=0.028836111485705886 ................
[CV]  c1=0.003049708743646972, c2=0.028836111485705886, score=0.695173 -   1.0s
[CV] c1=0.31375314111927305, c2=0.012476767465648183 .................
[CV]  c1=0.31375314111927305, c2=0.012476767465648183, score=0.820052 -   1.4s
[CV] c1=2.380008496466691, c2=0.07980497552038174 ....................
[CV]  c1=2.380008496466691, c2=0.07980497552038174, score=0.558059 -   1.2s
[CV] c1=0.1492297401649174, c2=0.027552679994959462 ..................
[CV]  c1=0.1492297401649174, c2=0.027552679994959462, score=0.823750 -   1.4s
[CV] c1=0.24884300074040733, c2=0.021050441725641397 .................
[CV]  c1=0.24884300074040733, c2=0.021050441725641397, score=0.726132 -   1.0s
[CV] c1=0.2317186836540492, c2=0.11624857531812618 ...................
[CV]  c1=0.2317186836540492, c2=0.11624857531812618, score=0.762647 -   1.3s
[CV] c1=0.04388265699140577, c2=0.03160104744795896 ..................
[CV]  c1=0.04388265699140577, c2=0.03160104744795896, score=0.811368 -   1.2s
[CV] c1=0.21703322462969116, c2=0.06272085484457843 ..................
[CV]  c1=0.21703322462969116, c2=0.06272085484457843, score=0.687871 -   1.0s
[CV] c1=0.0038306769448924424, c2=0.03083812352429501 ................
[CV]  c1=0.0038306769448924424, c2=0.03083812352429501, score=0.834061 -   1.2s
[CV] c1=0.3191361728024244, c2=0.05516986227728772 ...................
[CV]  c1=0.3191361728024244, c2=0.05516986227728772, score=0.793074 -   1.3s
[CV] c1=0.23444651773130534, c2=0.12154277130908031 ..................
[CV]  c1=0.23444651773130534, c2=0.12154277130908031, score=0.802878 -   1.3s
[CV] c1=0.18356677219361633, c2=0.021736366751150326 .................
[CV]  c1=0.18356677219361633, c2=0.021736366751150326, score=0.808161 -   1.3s
[CV] c1=0.003049708743646972, c2=0.028836111485705886 ................
[CV]  c1=0.003049708743646972, c2=0.028836111485705886, score=0.904122 -   1.2s
[CV] c1=0.22045279192511585, c2=0.002886411856233863 .................
[CV]  c1=0.22045279192511585, c2=0.002886411856233863, score=0.789176 -   1.3s
[CV] c1=0.2600866094556267, c2=0.026879467013414468 ..................
[CV]  c1=0.2600866094556267, c2=0.026879467013414468, score=0.873215 -   1.3s
[CV] c1=0.08471835728952182, c2=0.044301977342098925 .................
[CV]  c1=0.08471835728952182, c2=0.044301977342098925, score=0.831741 -   1.3s
[CV] c1=0.24884300074040733, c2=0.021050441725641397 .................
[CV]  c1=0.24884300074040733, c2=0.021050441725641397, score=0.793649 -   1.1s
[CV] c1=0.07454949499320904, c2=0.0550794378977219 ...................
[CV]  c1=0.07454949499320904, c2=0.0550794378977219, score=0.882871 -   1.1s
[CV] c1=0.8049824245400665, c2=0.0016162360577825997 .................
[CV]  c1=0.8049824245400665, c2=0.0016162360577825997, score=0.691939 -   1.1s
[CV] c1=0.5305778683155147, c2=0.005668747963063156 ..................
[CV]  c1=0.5305778683155147, c2=0.005668747963063156, score=0.787765 -   1.3s
[CV] c1=1.4913209003657608, c2=0.2282246807014886 ....................
[CV]  c1=1.4913209003657608, c2=0.2282246807014886, score=0.672565 -   1.2s
[CV] c1=0.8594289151037091, c2=0.018207130961789934 ..................
[CV]  c1=0.8594289151037091, c2=0.018207130961789934, score=0.722815 -   1.4s
[CV] c1=0.131817172427731, c2=0.029292022337655793 ...................
[CV]  c1=0.131817172427731, c2=0.029292022337655793, score=0.811509 -   1.4s
[CV] c1=0.24089848419443627, c2=0.00781397914369322 ..................
[CV]  c1=0.24089848419443627, c2=0.00781397914369322, score=0.889506 -   1.3s
[CV] c1=0.11832315530079929, c2=0.020378894136726833 .................
[CV]  c1=0.11832315530079929, c2=0.020378894136726833, score=0.832432 -   1.3s
[CV] c1=0.2103306566296855, c2=0.018678447139729985 ..................
[CV]  c1=0.2103306566296855, c2=0.018678447139729985, score=0.804567 -   1.3s
[CV] c1=0.10196253479231147, c2=0.018734594513154987 .................
[CV]  c1=0.10196253479231147, c2=0.018734594513154987, score=0.773019 -   1.4s
[CV] c1=0.025218009892413143, c2=0.0881377521145383 ..................
[CV]  c1=0.025218009892413143, c2=0.0881377521145383, score=0.817772 -   1.3s
[CV] c1=0.006811093538251813, c2=0.010520081282893147 ................
[CV]  c1=0.006811093538251813, c2=0.010520081282893147, score=0.829889 -   1.3s
[CV] c1=1.1737791044191024, c2=0.0503685823221745 ....................
[CV]  c1=1.1737791044191024, c2=0.0503685823221745, score=0.770643 -   1.2s
[CV] c1=0.46340524083105666, c2=0.11920045677929947 ..................
[CV]  c1=0.46340524083105666, c2=0.11920045677929947, score=0.837099 -   1.3s
[CV] c1=0.42601880841752515, c2=0.06121757907222856 ..................
[CV]  c1=0.42601880841752515, c2=0.06121757907222856, score=0.836960 -   1.3s
[CV] c1=0.9476705337976937, c2=0.1926367606980468 ....................
[CV]  c1=0.9476705337976937, c2=0.1926367606980468, score=0.639789 -   1.3s
[CV] c1=0.41296226684983756, c2=0.21512516521545022 ..................
[CV]  c1=0.41296226684983756, c2=0.21512516521545022, score=0.776364 -   1.3s
[CV] c1=0.17477239878333095, c2=0.0018835612435591305 ................
[CV]  c1=0.17477239878333095, c2=0.0018835612435591305, score=0.890989 -   1.2s
[CV] c1=0.3904807828562112, c2=0.09522939950310899 ...................
[CV]  c1=0.3904807828562112, c2=0.09522939950310899, score=0.829857 -   1.2s
[CV] c1=0.3331714962041435, c2=0.04226005705249611 ...................
[CV]  c1=0.3331714962041435, c2=0.04226005705249611, score=0.870507 -   1.2s
[CV] c1=0.1195267675625868, c2=0.027374113746274298 ..................
[CV]  c1=0.1195267675625868, c2=0.027374113746274298, score=0.776939 -   1.3s
[CV] c1=0.18943574994436038, c2=0.18053439427538243 ..................
[CV]  c1=0.18943574994436038, c2=0.18053439427538243, score=0.779024 -   1.2s
[CV] c1=0.004305240207226948, c2=0.044245882811052156 ................
[CV]  c1=0.004305240207226948, c2=0.044245882811052156, score=0.834253 -   1.2s
[CV] c1=0.016776004340952593, c2=0.06399138580052764 .................
[CV]  c1=0.016776004340952593, c2=0.06399138580052764, score=0.742380 -   1.0s
[CV] c1=0.07454949499320904, c2=0.0550794378977219 ...................
[CV]  c1=0.07454949499320904, c2=0.0550794378977219, score=0.834061 -   1.2s
[CV] c1=0.4271917523307874, c2=0.002464638905271904 ..................
[CV]  c1=0.4271917523307874, c2=0.002464638905271904, score=0.896268 -   1.2s
[CV] c1=0.7317914094766337, c2=0.01981126828223857 ...................
[CV]  c1=0.7317914094766337, c2=0.01981126828223857, score=0.745507 -   1.2s
[CV] c1=0.027717721652293147, c2=0.12922414899863377 .................
[CV]  c1=0.027717721652293147, c2=0.12922414899863377, score=0.777522 -   1.3s
[CV] c1=0.24763205369925445, c2=0.04535768695070786 ..................
[CV]  c1=0.24763205369925445, c2=0.04535768695070786, score=0.865018 -   1.3s
[CV] c1=0.4410638706793022, c2=0.015647824703284224 ..................
[CV]  c1=0.4410638706793022, c2=0.015647824703284224, score=0.753215 -   1.4s
[CV] c1=0.11787982050132804, c2=0.00511440579021737 ..................
[CV]  c1=0.11787982050132804, c2=0.00511440579021737, score=0.880035 -   1.3s
[CV] c1=0.05590883676298723, c2=0.0993113595420101 ...................
[CV]  c1=0.05590883676298723, c2=0.0993113595420101, score=0.790207 -   1.3s
[CV] c1=0.8426472894853475, c2=0.022121397993794263 ..................
[CV]  c1=0.8426472894853475, c2=0.022121397993794263, score=0.691117 -   1.2s
[CV] c1=0.7766989754460251, c2=0.16498332723307754 ...................
[CV]  c1=0.7766989754460251, c2=0.16498332723307754, score=0.793938 -   1.2s
[CV] c1=0.037607613879006976, c2=0.08220867425107739 .................
[CV]  c1=0.037607613879006976, c2=0.08220867425107739, score=0.817867 -   1.3s
[CV] c1=0.07403585887276395, c2=0.007830839646642525 .................
[CV]  c1=0.07403585887276395, c2=0.007830839646642525, score=0.869641 -   1.3s
[CV] c1=0.2434876707050573, c2=0.07003665970848026 ...................
[CV]  c1=0.2434876707050573, c2=0.07003665970848026, score=0.808970 -   1.3s
[CV] c1=0.44170620149629036, c2=0.03781908368948464 ..................
[CV]  c1=0.44170620149629036, c2=0.03781908368948464, score=0.738982 -   1.4s
[CV] c1=0.21703322462969116, c2=0.06272085484457843 ..................
[CV]  c1=0.21703322462969116, c2=0.06272085484457843, score=0.775701 -   1.3s
[CV] c1=2.058740293905446, c2=0.01917290053653561 ....................
[CV]  c1=2.058740293905446, c2=0.01917290053653561, score=0.536972 -   1.2s
[CV] c1=0.41296226684983756, c2=0.21512516521545022 ..................
[CV]  c1=0.41296226684983756, c2=0.21512516521545022, score=0.836132 -   1.3s
[CV] c1=0.5327842533564279, c2=0.05583704276129795 ...................
[CV]  c1=0.5327842533564279, c2=0.05583704276129795, score=0.707695 -   1.0s
[CV] c1=0.18356677219361633, c2=0.021736366751150326 .................
[CV]  c1=0.18356677219361633, c2=0.021736366751150326, score=0.821649 -   1.2s
[CV] c1=0.23890231766950196, c2=0.05697134519018171 ..................
[CV]  c1=0.23890231766950196, c2=0.05697134519018171, score=0.814678 -   1.2s
[CV] c1=0.22045279192511585, c2=0.002886411856233863 .................
[CV]  c1=0.22045279192511585, c2=0.002886411856233863, score=0.863371 -   1.2s
[CV] c1=2.380008496466691, c2=0.07980497552038174 ....................
[CV]  c1=2.380008496466691, c2=0.07980497552038174, score=0.681899 -   1.2s
[CV] c1=0.1492297401649174, c2=0.027552679994959462 ..................
[CV]  c1=0.1492297401649174, c2=0.027552679994959462, score=0.878583 -   1.3s
[CV] c1=0.07403585887276395, c2=0.007830839646642525 .................
[CV]  c1=0.07403585887276395, c2=0.007830839646642525, score=0.832432 -   1.3s
[CV] c1=0.21994780325136476, c2=0.03435940326076802 ..................
[CV]  c1=0.21994780325136476, c2=0.03435940326076802, score=0.809873 -   1.1s
[CV] c1=0.44170620149629036, c2=0.03781908368948464 ..................
[CV]  c1=0.44170620149629036, c2=0.03781908368948464, score=0.787593 -   1.3s
[CV] c1=0.21703322462969116, c2=0.06272085484457843 ..................
[CV]  c1=0.21703322462969116, c2=0.06272085484457843, score=0.862649 -   1.2s
[CV] c1=2.058740293905446, c2=0.01917290053653561 ....................
[CV]  c1=2.058740293905446, c2=0.01917290053653561, score=0.501210 -   1.0s
[CV] c1=0.3191361728024244, c2=0.05516986227728772 ...................
[CV]  c1=0.3191361728024244, c2=0.05516986227728772, score=0.803390 -   1.2s
[CV] c1=0.4410638706793022, c2=0.015647824703284224 ..................
[CV]  c1=0.4410638706793022, c2=0.015647824703284224, score=0.798182 -   1.2s
[CV] c1=0.20990561952782172, c2=0.015296108016395369 .................
[CV]  c1=0.20990561952782172, c2=0.015296108016395369, score=0.727467 -   0.9s
[CV] c1=0.3078928283188915, c2=0.12668896958051465 ...................
[CV]  c1=0.3078928283188915, c2=0.12668896958051465, score=0.742048 -   1.3s
[CV] c1=0.40892327585823135, c2=0.008941164806120979 .................
[CV]  c1=0.40892327585823135, c2=0.008941164806120979, score=0.810478 -   1.2s
[CV] c1=0.6206457258818373, c2=0.029640029059594404 ..................
[CV]  c1=0.6206457258818373, c2=0.029640029059594404, score=0.728142 -   1.2s
[CV] c1=0.18173427316944646, c2=0.0011427547942975734 ................
[CV]  c1=0.18173427316944646, c2=0.0011427547942975734, score=0.817155 -   1.2s
[CV] c1=0.8083187384657832, c2=0.024894315384076254 ..................
[CV]  c1=0.8083187384657832, c2=0.024894315384076254, score=0.661925 -   1.0s
[CV] c1=0.016776004340952593, c2=0.06399138580052764 .................
[CV]  c1=0.016776004340952593, c2=0.06399138580052764, score=0.899987 -   1.1s
[CV] c1=0.2317186836540492, c2=0.11624857531812618 ...................
[CV]  c1=0.2317186836540492, c2=0.11624857531812618, score=0.863954 -   1.2s
[CV] c1=0.44170620149629036, c2=0.03781908368948464 ..................
[CV]  c1=0.44170620149629036, c2=0.03781908368948464, score=0.857243 -   1.3s
[CV] c1=0.025215120194713884, c2=0.030343399106649432 ................
[CV]  c1=0.025215120194713884, c2=0.030343399106649432, score=0.834752 -   1.3s
[CV] c1=0.8628027827740573, c2=0.08263923148754658 ...................
[CV]  c1=0.8628027827740573, c2=0.08263923148754658, score=0.740176 -   1.3s
[CV] c1=0.21684213814734443, c2=0.03593812305404936 ..................
[CV]  c1=0.21684213814734443, c2=0.03593812305404936, score=0.876765 -   1.2s
[CV] c1=0.1300689320500606, c2=0.11238014983049277 ...................
[CV]  c1=0.1300689320500606, c2=0.11238014983049277, score=0.708337 -   1.0s
[CV] c1=0.11787982050132804, c2=0.00511440579021737 ..................
[CV]  c1=0.11787982050132804, c2=0.00511440579021737, score=0.831741 -   1.3s
[CV] c1=0.05590883676298723, c2=0.0993113595420101 ...................
[CV]  c1=0.05590883676298723, c2=0.0993113595420101, score=0.769516 -   1.3s
[CV] c1=0.8426472894853475, c2=0.022121397993794263 ..................
[CV]  c1=0.8426472894853475, c2=0.022121397993794263, score=0.722815 -   1.3s
[CV] c1=2.380008496466691, c2=0.07980497552038174 ....................
[CV]  c1=2.380008496466691, c2=0.07980497552038174, score=0.594553 -   1.3s
[CV] c1=0.1492297401649174, c2=0.027552679994959462 ..................
[CV]  c1=0.1492297401649174, c2=0.027552679994959462, score=0.781773 -   1.4s
[CV] c1=0.24884300074040733, c2=0.021050441725641397 .................
[CV]  c1=0.24884300074040733, c2=0.021050441725641397, score=0.808970 -   1.1s
[CV] c1=0.07454949499320904, c2=0.0550794378977219 ...................
[CV]  c1=0.07454949499320904, c2=0.0550794378977219, score=0.806408 -   1.0s
[CV] c1=0.8049824245400665, c2=0.0016162360577825997 .................
[CV]  c1=0.8049824245400665, c2=0.0016162360577825997, score=0.833467 -   1.2s
[CV] c1=0.7595869383888315, c2=0.00037660876745005415 ................
[CV]  c1=0.7595869383888315, c2=0.00037660876745005415, score=0.840858 -   1.4s
[CV] c1=0.14287571016434925, c2=0.1330974860132827 ...................
[CV]  c1=0.14287571016434925, c2=0.1330974860132827, score=0.800161 -   1.3s
[CV] c1=0.20056628402995214, c2=0.10518678489725607 ..................
[CV]  c1=0.20056628402995214, c2=0.10518678489725607, score=0.787283 -   1.3s
[CV] c1=0.4410638706793022, c2=0.015647824703284224 ..................
[CV]  c1=0.4410638706793022, c2=0.015647824703284224, score=0.878813 -   1.3s
[CV] c1=0.20990561952782172, c2=0.015296108016395369 .................
[CV]  c1=0.20990561952782172, c2=0.015296108016395369, score=0.801046 -   1.3s
[CV] c1=0.05590883676298723, c2=0.0993113595420101 ...................
[CV]  c1=0.05590883676298723, c2=0.0993113595420101, score=0.884625 -   1.4s
[CV] c1=0.8426472894853475, c2=0.022121397993794263 ..................
[CV]  c1=0.8426472894853475, c2=0.022121397993794263, score=0.845494 -   1.3s
[CV] c1=0.7766989754460251, c2=0.16498332723307754 ...................
[CV]  c1=0.7766989754460251, c2=0.16498332723307754, score=0.652566 -   1.3s
[CV] c1=0.1492297401649174, c2=0.027552679994959462 ..................
[CV]  c1=0.1492297401649174, c2=0.027552679994959462, score=0.817155 -   1.3s
[CV] c1=0.07403585887276395, c2=0.007830839646642525 .................
[CV]  c1=0.07403585887276395, c2=0.007830839646642525, score=0.776647 -   1.2s
[CV] c1=0.2434876707050573, c2=0.07003665970848026 ...................
[CV]  c1=0.2434876707050573, c2=0.07003665970848026, score=0.808606 -   1.3s
[CV] c1=0.04388265699140577, c2=0.03160104744795896 ..................
[CV]  c1=0.04388265699140577, c2=0.03160104744795896, score=0.834061 -   1.2s
[CV] c1=0.21703322462969116, c2=0.06272085484457843 ..................
[CV]  c1=0.21703322462969116, c2=0.06272085484457843, score=0.795760 -   1.3s
[CV] c1=0.9476705337976937, c2=0.1926367606980468 ....................
[CV]  c1=0.9476705337976937, c2=0.1926367606980468, score=0.764350 -   1.3s
[CV] c1=0.41296226684983756, c2=0.21512516521545022 ..................
[CV]  c1=0.41296226684983756, c2=0.21512516521545022, score=0.653370 -   1.0s
[CV] c1=0.14435726641940544, c2=0.08794909610252337 ..................
[CV]  c1=0.14435726641940544, c2=0.08794909610252337, score=0.803183 -   1.3s
[CV] c1=0.18356677219361633, c2=0.021736366751150326 .................
[CV]  c1=0.18356677219361633, c2=0.021736366751150326, score=0.802826 -   1.4s
[CV] c1=0.003049708743646972, c2=0.028836111485705886 ................
[CV]  c1=0.003049708743646972, c2=0.028836111485705886, score=0.834253 -   1.2s
[CV] c1=0.22045279192511585, c2=0.002886411856233863 .................
[CV]  c1=0.22045279192511585, c2=0.002886411856233863, score=0.800917 -   1.3s
[CV] c1=0.2600866094556267, c2=0.026879467013414468 ..................
[CV]  c1=0.2600866094556267, c2=0.026879467013414468, score=0.790517 -   1.3s
[CV] c1=0.08471835728952182, c2=0.044301977342098925 .................
[CV]  c1=0.08471835728952182, c2=0.044301977342098925, score=0.806408 -   1.3s
[CV] c1=0.24884300074040733, c2=0.021050441725641397 .................
[CV]  c1=0.24884300074040733, c2=0.021050441725641397, score=0.800898 -   1.1s
[CV] c1=0.42503600745833686, c2=0.040884389430562516 .................
[CV]  c1=0.42503600745833686, c2=0.040884389430562516, score=0.706360 -   1.0s
[CV] c1=0.8049824245400665, c2=0.0016162360577825997 .................
[CV]  c1=0.8049824245400665, c2=0.0016162360577825997, score=0.752801 -   1.1s
[CV] c1=0.7595869383888315, c2=0.00037660876745005415 ................
[CV]  c1=0.7595869383888315, c2=0.00037660876745005415, score=0.695635 -   1.0s
[CV] c1=1.4913209003657608, c2=0.2282246807014886 ....................
[CV]  c1=1.4913209003657608, c2=0.2282246807014886, score=0.586117 -   1.3s
[CV] c1=0.8594289151037091, c2=0.018207130961789934 ..................
[CV]  c1=0.8594289151037091, c2=0.018207130961789934, score=0.745507 -   1.3s
[CV] c1=0.6911159946959096, c2=0.17144416989340558 ...................
[CV]  c1=0.6911159946959096, c2=0.17144416989340558, score=0.707708 -   1.2s
[CV] c1=0.17477239878333095, c2=0.0018835612435591305 ................
[CV]  c1=0.17477239878333095, c2=0.0018835612435591305, score=0.831273 -   1.1s
[CV] c1=0.3904807828562112, c2=0.09522939950310899 ...................
[CV]  c1=0.3904807828562112, c2=0.09522939950310899, score=0.737969 -   1.3s
[CV] c1=0.3331714962041435, c2=0.04226005705249611 ...................
[CV]  c1=0.3331714962041435, c2=0.04226005705249611, score=0.793966 -   1.3s
[CV] c1=0.6206457258818373, c2=0.029640029059594404 ..................
[CV]  c1=0.6206457258818373, c2=0.029640029059594404, score=0.820108 -   1.3s
[CV] c1=0.18173427316944646, c2=0.0011427547942975734 ................
[CV]  c1=0.18173427316944646, c2=0.0011427547942975734, score=0.709105 -   1.0s
[CV] c1=0.004305240207226948, c2=0.044245882811052156 ................
[CV]  c1=0.004305240207226948, c2=0.044245882811052156, score=0.893559 -   1.3s
[CV] c1=0.016776004340952593, c2=0.06399138580052764 .................
[CV]  c1=0.016776004340952593, c2=0.06399138580052764, score=0.828191 -   1.1s
[CV] c1=0.07454949499320904, c2=0.0550794378977219 ...................
[CV]  c1=0.07454949499320904, c2=0.0550794378977219, score=0.726860 -   0.7s
[CV] c1=2.6553171942201708, c2=0.09092926194395391 ...................
[CV]  c1=2.6553171942201708, c2=0.09092926194395391, score=0.502045 -   1.1s
[CV] c1=0.46340524083105666, c2=0.11920045677929947 ..................
[CV]  c1=0.46340524083105666, c2=0.11920045677929947, score=0.691971 -   1.0s
[CV] c1=0.025215120194713884, c2=0.030343399106649432 ................
[CV]  c1=0.025215120194713884, c2=0.030343399106649432, score=0.827045 -   1.3s
[CV] c1=0.8628027827740573, c2=0.08263923148754658 ...................
[CV]  c1=0.8628027827740573, c2=0.08263923148754658, score=0.635768 -   1.4s
[CV] c1=0.21684213814734443, c2=0.03593812305404936 ..................
[CV]  c1=0.21684213814734443, c2=0.03593812305404936, score=0.769921 -   1.4s
[CV] c1=0.5327842533564279, c2=0.05583704276129795 ...................
[CV]  c1=0.5327842533564279, c2=0.05583704276129795, score=0.798896 -   1.3s
[CV] c1=0.3904807828562112, c2=0.09522939950310899 ...................
[CV]  c1=0.3904807828562112, c2=0.09522939950310899, score=0.702262 -   1.0s
[CV] c1=0.003049708743646972, c2=0.028836111485705886 ................
[CV]  c1=0.003049708743646972, c2=0.028836111485705886, score=0.812855 -   1.3s
[CV] c1=0.1195267675625868, c2=0.027374113746274298 ..................
[CV]  c1=0.1195267675625868, c2=0.027374113746274298, score=0.813590 -   1.2s
[CV] c1=0.2600866094556267, c2=0.026879467013414468 ..................
[CV]  c1=0.2600866094556267, c2=0.026879467013414468, score=0.808970 -   1.3s
[CV] c1=0.08471835728952182, c2=0.044301977342098925 .................
[CV]  c1=0.08471835728952182, c2=0.044301977342098925, score=0.775701 -   1.3s
[CV] c1=0.016776004340952593, c2=0.06399138580052764 .................
[CV]  c1=0.016776004340952593, c2=0.06399138580052764, score=0.825153 -   1.1s
[CV] c1=0.536282293109603, c2=0.05702914887635693 ....................
[CV]  c1=0.536282293109603, c2=0.05702914887635693, score=0.774166 -   1.3s
[CV] c1=0.0015203736654497947, c2=0.043272463366507016 ...............
[CV]  c1=0.0015203736654497947, c2=0.043272463366507016, score=0.716780 -   0.9s
[CV] c1=0.7317914094766337, c2=0.01981126828223857 ...................
[CV]  c1=0.7317914094766337, c2=0.01981126828223857, score=0.662523 -   1.1s
[CV] c1=0.14287571016434925, c2=0.1330974860132827 ...................
[CV]  c1=0.14287571016434925, c2=0.1330974860132827, score=0.868819 -   1.3s
[CV] c1=0.016480046996110168, c2=0.08257843745605681 .................
[CV]  c1=0.016480046996110168, c2=0.08257843745605681, score=0.834253 -   1.3s
[CV] c1=0.9208886390050295, c2=0.10138205275607248 ...................
[CV]  c1=0.9208886390050295, c2=0.10138205275607248, score=0.789067 -   1.3s
[CV] c1=0.24089848419443627, c2=0.00781397914369322 ..................
[CV]  c1=0.24089848419443627, c2=0.00781397914369322, score=0.811509 -   1.3s
[CV] c1=0.30973402616030876, c2=0.13736697216489255 ..................
[CV]  c1=0.30973402616030876, c2=0.13736697216489255, score=0.831643 -   1.3s
[CV] c1=0.5440903665077165, c2=0.3099815170654506 ....................
[CV]  c1=0.5440903665077165, c2=0.3099815170654506, score=0.584491 -   1.0s
[CV] c1=0.1832420300449845, c2=0.06503958245715412 ...................
[CV]  c1=0.1832420300449845, c2=0.06503958245715412, score=0.873176 -   1.3s
[CV] c1=0.282800735688333, c2=0.01475022603131625 ....................
[CV]  c1=0.282800735688333, c2=0.01475022603131625, score=0.713380 -   1.1s
[CV] c1=0.8083187384657832, c2=0.024894315384076254 ..................
[CV]  c1=0.8083187384657832, c2=0.024894315384076254, score=0.745507 -   1.2s
[CV] c1=0.3296254349398862, c2=0.01145103753510277 ...................
[CV]  c1=0.3296254349398862, c2=0.01145103753510277, score=0.822332 -   1.0s
[CV] c1=0.536282293109603, c2=0.05702914887635693 ....................
[CV]  c1=0.536282293109603, c2=0.05702914887635693, score=0.706360 -   0.9s
[CV] c1=2.6553171942201708, c2=0.09092926194395391 ...................
[CV]  c1=2.6553171942201708, c2=0.09092926194395391, score=0.482405 -   1.3s
[CV] c1=0.7595869383888315, c2=0.00037660876745005415 ................
[CV]  c1=0.7595869383888315, c2=0.00037660876745005415, score=0.709932 -   1.3s
[CV] c1=0.027717721652293147, c2=0.12922414899863377 .................
[CV]  c1=0.027717721652293147, c2=0.12922414899863377, score=0.876429 -   1.2s
[CV] c1=0.20056628402995214, c2=0.10518678489725607 ..................
[CV]  c1=0.20056628402995214, c2=0.10518678489725607, score=0.706748 -   1.0s
[CV] c1=0.131817172427731, c2=0.029292022337655793 ...................
[CV]  c1=0.131817172427731, c2=0.029292022337655793, score=0.866989 -   1.3s
[CV] c1=0.4424639071667541, c2=0.007118912882881214 ..................
[CV]  c1=0.4424639071667541, c2=0.007118912882881214, score=0.769919 -   1.3s
[CV] c1=0.11832315530079929, c2=0.020378894136726833 .................
[CV]  c1=0.11832315530079929, c2=0.020378894136726833, score=0.877053 -   1.2s
[CV] c1=0.2103306566296855, c2=0.018678447139729985 ..................
[CV]  c1=0.2103306566296855, c2=0.018678447139729985, score=0.725541 -   1.0s
[CV] c1=0.6206457258818373, c2=0.029640029059594404 ..................
[CV]  c1=0.6206457258818373, c2=0.029640029059594404, score=0.694278 -   1.0s
[CV] c1=0.2600866094556267, c2=0.026879467013414468 ..................
[CV]  c1=0.2600866094556267, c2=0.026879467013414468, score=0.802034 -   1.4s
[CV] c1=0.004305240207226948, c2=0.044245882811052156 ................
[CV]  c1=0.004305240207226948, c2=0.044245882811052156, score=0.834061 -   1.3s
[CV] c1=0.016776004340952593, c2=0.06399138580052764 .................
[CV]  c1=0.016776004340952593, c2=0.06399138580052764, score=0.835572 -   1.2s
[CV] c1=0.536282293109603, c2=0.05702914887635693 ....................
[CV]  c1=0.536282293109603, c2=0.05702914887635693, score=0.737969 -   1.2s
[CV] c1=0.17981746331329254, c2=0.16159493814085846 ..................
[CV]  c1=0.17981746331329254, c2=0.16159493814085846, score=0.861453 -   1.2s
[CV] c1=0.017130404947333786, c2=0.05860893455901851 .................
[CV]  c1=0.017130404947333786, c2=0.05860893455901851, score=0.896536 -   1.3s
[CV] c1=0.3096504803558093, c2=0.045157159542294 .....................
[CV]  c1=0.3096504803558093, c2=0.045157159542294, score=0.873018 -   1.3s
[CV] c1=0.3191361728024244, c2=0.05516986227728772 ...................
[CV]  c1=0.3191361728024244, c2=0.05516986227728772, score=0.862912 -   1.3s
[CV] c1=0.23444651773130534, c2=0.12154277130908031 ..................
[CV]  c1=0.23444651773130534, c2=0.12154277130908031, score=0.702262 -   1.0s
[CV] c1=0.20990561952782172, c2=0.015296108016395369 .................
[CV]  c1=0.20990561952782172, c2=0.015296108016395369, score=0.876765 -   1.3s
[CV] c1=0.30973402616030876, c2=0.13736697216489255 ..................
[CV]  c1=0.30973402616030876, c2=0.13736697216489255, score=0.742048 -   1.3s
[CV] c1=0.31375314111927305, c2=0.012476767465648183 .................
[CV]  c1=0.31375314111927305, c2=0.012476767465648183, score=0.879566 -   1.2s
[CV] c1=0.12756488541315156, c2=0.1424732863173898 ...................
[CV]  c1=0.12756488541315156, c2=0.1424732863173898, score=0.712333 -   1.0s
[CV] c1=0.458201661242804, c2=0.021359783199121882 ...................
[CV]  c1=0.458201661242804, c2=0.021359783199121882, score=0.866465 -   1.3s
[CV] c1=2.394620233040506, c2=0.0286936906880715 .....................
[CV]  c1=2.394620233040506, c2=0.0286936906880715, score=0.503070 -   1.1s
[CV] c1=0.527801680936537, c2=0.023464519929338727 ...................
[CV]  c1=0.527801680936537, c2=0.023464519929338727, score=0.712028 -   0.8s
[CV] c1=0.21994780325136476, c2=0.03435940326076802 ..................
[CV]  c1=0.21994780325136476, c2=0.03435940326076802, score=0.808970 -   1.1s
[CV] c1=0.04388265699140577, c2=0.03160104744795896 ..................
[CV]  c1=0.04388265699140577, c2=0.03160104744795896, score=0.688479 -   1.0s
[CV] c1=0.23762845003649755, c2=0.023404745999519794 .................
[CV]  c1=0.23762845003649755, c2=0.023404745999519794, score=0.726132 -   1.0s
[CV] c1=0.027717721652293147, c2=0.12922414899863377 .................
[CV]  c1=0.027717721652293147, c2=0.12922414899863377, score=0.752437 -   1.0s
[CV] c1=0.016480046996110168, c2=0.08257843745605681 .................
[CV]  c1=0.016480046996110168, c2=0.08257843745605681, score=0.884982 -   1.2s
[CV] c1=0.6911159946959096, c2=0.17144416989340558 ...................
[CV]  c1=0.6911159946959096, c2=0.17144416989340558, score=0.684728 -   1.2s
[CV] c1=0.4424639071667541, c2=0.007118912882881214 ..................
[CV]  c1=0.4424639071667541, c2=0.007118912882881214, score=0.884699 -   1.2s
[CV] c1=0.3078928283188915, c2=0.12668896958051465 ...................
[CV]  c1=0.3078928283188915, c2=0.12668896958051465, score=0.856535 -   1.3s
[CV] c1=0.40892327585823135, c2=0.008941164806120979 .................
[CV]  c1=0.40892327585823135, c2=0.008941164806120979, score=0.775249 -   1.3s
[CV] c1=0.6206457258818373, c2=0.029640029059594404 ..................
[CV]  c1=0.6206457258818373, c2=0.029640029059594404, score=0.785587 -   1.4s
[CV] c1=0.282800735688333, c2=0.01475022603131625 ....................
[CV]  c1=0.282800735688333, c2=0.01475022603131625, score=0.804519 -   1.2s
[CV] c1=0.03542809469155448, c2=0.10294317231443291 ..................
[CV]  c1=0.03542809469155448, c2=0.10294317231443291, score=0.753118 -   1.0s
[CV] c1=0.3296254349398862, c2=0.01145103753510277 ...................
[CV]  c1=0.3296254349398862, c2=0.01145103753510277, score=0.904872 -   1.1s
[CV] c1=1.1737791044191024, c2=0.0503685823221745 ....................
[CV]  c1=1.1737791044191024, c2=0.0503685823221745, score=0.731745 -   1.3s
[CV] c1=0.46340524083105666, c2=0.11920045677929947 ..................
[CV]  c1=0.46340524083105666, c2=0.11920045677929947, score=0.760214 -   1.2s
[CV] c1=0.42601880841752515, c2=0.06121757907222856 ..................
[CV]  c1=0.42601880841752515, c2=0.06121757907222856, score=0.729902 -   1.3s
[CV] c1=0.9476705337976937, c2=0.1926367606980468 ....................
[CV]  c1=0.9476705337976937, c2=0.1926367606980468, score=0.578223 -   1.3s
[CV] c1=0.6911159946959096, c2=0.17144416989340558 ...................
[CV]  c1=0.6911159946959096, c2=0.17144416989340558, score=0.592836 -   0.9s
[CV] c1=0.1300689320500606, c2=0.11238014983049277 ...................
[CV]  c1=0.1300689320500606, c2=0.11238014983049277, score=0.769665 -   1.3s
[CV] c1=0.3779613778796252, c2=0.06380491640710521 ...................
[CV]  c1=0.3779613778796252, c2=0.06380491640710521, score=0.706360 -   1.0s
[CV] c1=0.23890231766950196, c2=0.05697134519018171 ..................
[CV]  c1=0.23890231766950196, c2=0.05697134519018171, score=0.808970 -   1.2s
[CV] c1=0.8426472894853475, c2=0.022121397993794263 ..................
[CV]  c1=0.8426472894853475, c2=0.022121397993794263, score=0.658230 -   1.0s
[CV] c1=0.10196253479231147, c2=0.018734594513154987 .................
[CV]  c1=0.10196253479231147, c2=0.018734594513154987, score=0.806343 -   1.2s
[CV] c1=0.458201661242804, c2=0.021359783199121882 ...................
[CV]  c1=0.458201661242804, c2=0.021359783199121882, score=0.710693 -   1.0s
[CV] c1=0.03542809469155448, c2=0.10294317231443291 ..................
[CV]  c1=0.03542809469155448, c2=0.10294317231443291, score=0.871169 -   1.3s
[CV] c1=0.527801680936537, c2=0.023464519929338727 ...................
[CV]  c1=0.527801680936537, c2=0.023464519929338727, score=0.765083 -   0.9s
[CV] c1=0.2434876707050573, c2=0.07003665970848026 ...................
[CV]  c1=0.2434876707050573, c2=0.07003665970848026, score=0.684873 -   1.0s
[CV] c1=0.8049824245400665, c2=0.0016162360577825997 .................
[CV]  c1=0.8049824245400665, c2=0.0016162360577825997, score=0.722815 -   1.3s
[CV] c1=0.7317914094766337, c2=0.01981126828223857 ...................
[CV]  c1=0.7317914094766337, c2=0.01981126828223857, score=0.698799 -   1.4s
[CV] c1=0.3096504803558093, c2=0.045157159542294 .....................
[CV]  c1=0.3096504803558093, c2=0.045157159542294, score=0.784992 -   1.3s
[CV] c1=0.3191361728024244, c2=0.05516986227728772 ...................
[CV]  c1=0.3191361728024244, c2=0.05516986227728772, score=0.722677 -   1.0s
[CV] c1=0.9208886390050295, c2=0.10138205275607248 ...................
[CV]  c1=0.9208886390050295, c2=0.10138205275607248, score=0.740176 -   1.2s
[CV] c1=0.24089848419443627, c2=0.00781397914369322 ..................
[CV]  c1=0.24089848419443627, c2=0.00781397914369322, score=0.804519 -   1.3s
[CV] c1=0.11832315530079929, c2=0.020378894136726833 .................
[CV]  c1=0.11832315530079929, c2=0.020378894136726833, score=0.774204 -   1.3s
[CV] c1=0.5440903665077165, c2=0.3099815170654506 ....................
[CV]  c1=0.5440903665077165, c2=0.3099815170654506, score=0.765932 -   1.3s
[CV] c1=0.12756488541315156, c2=0.1424732863173898 ...................
[CV]  c1=0.12756488541315156, c2=0.1424732863173898, score=0.790223 -   1.2s
[CV] c1=0.025218009892413143, c2=0.0881377521145383 ..................
[CV]  c1=0.025218009892413143, c2=0.0881377521145383, score=0.720406 -   1.0s
[CV] c1=0.03542809469155448, c2=0.10294317231443291 ..................
[CV]  c1=0.03542809469155448, c2=0.10294317231443291, score=0.825153 -   1.2s
[CV] c1=0.527801680936537, c2=0.023464519929338727 ...................
[CV]  c1=0.527801680936537, c2=0.023464519929338727, score=0.736589 -   1.0s
[CV] c1=0.2434876707050573, c2=0.07003665970848026 ...................
[CV]  c1=0.2434876707050573, c2=0.07003665970848026, score=0.770648 -   1.3s
[CV] c1=0.44170620149629036, c2=0.03781908368948464 ..................
[CV]  c1=0.44170620149629036, c2=0.03781908368948464, score=0.706360 -   1.0s
[CV] c1=0.017130404947333786, c2=0.05860893455901851 .................
[CV]  c1=0.017130404947333786, c2=0.05860893455901851, score=0.762785 -   1.0s
[CV] c1=0.14287571016434925, c2=0.1330974860132827 ...................
[CV]  c1=0.14287571016434925, c2=0.1330974860132827, score=0.775138 -   1.3s
[CV] c1=0.20056628402995214, c2=0.10518678489725607 ..................
[CV]  c1=0.20056628402995214, c2=0.10518678489725607, score=0.866409 -   1.2s
[CV] c1=0.9208886390050295, c2=0.10138205275607248 ...................
[CV]  c1=0.9208886390050295, c2=0.10138205275607248, score=0.615765 -   1.0s
[CV] c1=0.17477239878333095, c2=0.0018835612435591305 ................
[CV]  c1=0.17477239878333095, c2=0.0018835612435591305, score=0.813260 -   1.3s
[CV] c1=0.3078928283188915, c2=0.12668896958051465 ...................
[CV]  c1=0.3078928283188915, c2=0.12668896958051465, score=0.779380 -   1.3s
[CV] c1=0.40892327585823135, c2=0.008941164806120979 .................
[CV]  c1=0.40892327585823135, c2=0.008941164806120979, score=0.805292 -   1.3s
[CV] c1=0.1832420300449845, c2=0.06503958245715412 ...................
[CV]  c1=0.1832420300449845, c2=0.06503958245715412, score=0.790517 -   1.3s
[CV] c1=0.282800735688333, c2=0.01475022603131625 ....................
[CV]  c1=0.282800735688333, c2=0.01475022603131625, score=0.807541 -   1.3s
[CV] c1=0.03542809469155448, c2=0.10294317231443291 ..................
[CV]  c1=0.03542809469155448, c2=0.10294317231443291, score=0.830759 -   1.3s
[CV] c1=0.20610576024285723, c2=0.020632508623523556 .................
[CV]  c1=0.20610576024285723, c2=0.020632508623523556, score=0.712358 -   0.8s
[CV] c1=0.010611466925381148, c2=0.09394084091301372 .................
[CV]  c1=0.010611466925381148, c2=0.09394084091301372, score=0.879419 -   0.9s
[CV] c1=2.6553171942201708, c2=0.09092926194395391 ...................
[CV]  c1=2.6553171942201708, c2=0.09092926194395391, score=0.592894 -   1.3s
[CV] c1=0.5305778683155147, c2=0.005668747963063156 ..................
[CV]  c1=0.5305778683155147, c2=0.005668747963063156, score=0.728149 -   1.4s
[CV] c1=1.4913209003657608, c2=0.2282246807014886 ....................
[CV]  c1=1.4913209003657608, c2=0.2282246807014886, score=0.555557 -   1.3s
[CV] c1=0.016480046996110168, c2=0.08257843745605681 .................
[CV]  c1=0.016480046996110168, c2=0.08257843745605681, score=0.743243 -   1.1s
[CV] c1=0.6911159946959096, c2=0.17144416989340558 ...................
[CV]  c1=0.6911159946959096, c2=0.17144416989340558, score=0.679635 -   1.4s
[CV] c1=0.4424639071667541, c2=0.007118912882881214 ..................
[CV]  c1=0.4424639071667541, c2=0.007118912882881214, score=0.710693 -   1.0s
[CV] c1=0.3904807828562112, c2=0.09522939950310899 ...................
[CV]  c1=0.3904807828562112, c2=0.09522939950310899, score=0.770241 -   1.2s
[CV] c1=0.3331714962041435, c2=0.04226005705249611 ...................
[CV]  c1=0.3331714962041435, c2=0.04226005705249611, score=0.808970 -   1.3s
[CV] c1=0.32284289275600864, c2=0.11689098305228665 ..................
[CV]  c1=0.32284289275600864, c2=0.11689098305228665, score=0.793399 -   1.3s
[CV] c1=0.18173427316944646, c2=0.0011427547942975734 ................
[CV]  c1=0.18173427316944646, c2=0.0011427547942975734, score=0.881542 -   1.3s
[CV] c1=0.8083187384657832, c2=0.024894315384076254 ..................
[CV]  c1=0.8083187384657832, c2=0.024894315384076254, score=0.691117 -   1.3s
[CV] c1=0.3296254349398862, c2=0.01145103753510277 ...................
[CV]  c1=0.3296254349398862, c2=0.01145103753510277, score=0.820128 -   1.0s
[CV] c1=0.2317186836540492, c2=0.11624857531812618 ...................
[CV]  c1=0.2317186836540492, c2=0.11624857531812618, score=0.679722 -   1.0s
[CV] c1=0.4271917523307874, c2=0.002464638905271904 ..................
[CV]  c1=0.4271917523307874, c2=0.002464638905271904, score=0.810669 -   1.3s
[CV] c1=0.017130404947333786, c2=0.05860893455901851 .................
[CV]  c1=0.017130404947333786, c2=0.05860893455901851, score=0.817730 -   1.2s
[CV] c1=0.3096504803558093, c2=0.045157159542294 .....................
[CV]  c1=0.3096504803558093, c2=0.045157159542294, score=0.722677 -   1.0s
[CV] c1=0.016480046996110168, c2=0.08257843745605681 .................
[CV]  c1=0.016480046996110168, c2=0.08257843745605681, score=0.821538 -   1.3s
[CV] c1=0.131817172427731, c2=0.029292022337655793 ...................
[CV]  c1=0.131817172427731, c2=0.029292022337655793, score=0.779285 -   1.3s
[CV] c1=0.24089848419443627, c2=0.00781397914369322 ..................
[CV]  c1=0.24089848419443627, c2=0.00781397914369322, score=0.721601 -   1.0s
[CV] c1=0.3078928283188915, c2=0.12668896958051465 ...................
[CV]  c1=0.3078928283188915, c2=0.12668896958051465, score=0.679722 -   1.0s
[CV] c1=0.3331714962041435, c2=0.04226005705249611 ...................
[CV]  c1=0.3331714962041435, c2=0.04226005705249611, score=0.782742 -   1.3s
[CV] c1=0.32284289275600864, c2=0.11689098305228665 ..................
[CV]  c1=0.32284289275600864, c2=0.11689098305228665, score=0.773723 -   1.2s
[CV] c1=0.18943574994436038, c2=0.18053439427538243 ..................
[CV]  c1=0.18943574994436038, c2=0.18053439427538243, score=0.742048 -   1.3s
[CV] c1=0.004305240207226948, c2=0.044245882811052156 ................
[CV]  c1=0.004305240207226948, c2=0.044245882811052156, score=0.822974 -   1.3s
[CV] c1=0.3296254349398862, c2=0.01145103753510277 ...................
[CV]  c1=0.3296254349398862, c2=0.01145103753510277, score=0.790060 -   1.1s
[CV] c1=0.21994780325136476, c2=0.03435940326076802 ..................
[CV]  c1=0.21994780325136476, c2=0.03435940326076802, score=0.874944 -   1.2s
[CV] c1=0.04388265699140577, c2=0.03160104744795896 ..................
[CV]  c1=0.04388265699140577, c2=0.03160104744795896, score=0.898487 -   1.2s
[CV] c1=0.025215120194713884, c2=0.030343399106649432 ................
[CV]  c1=0.025215120194713884, c2=0.030343399106649432, score=0.822974 -   1.3s
[CV] c1=2.058740293905446, c2=0.01917290053653561 ....................
[CV]  c1=2.058740293905446, c2=0.01917290053653561, score=0.608633 -   1.3s
[CV] c1=0.21684213814734443, c2=0.03593812305404936 ..................
[CV]  c1=0.21684213814734443, c2=0.03593812305404936, score=0.804519 -   1.2s
[CV] c1=0.1300689320500606, c2=0.11238014983049277 ...................
[CV]  c1=0.1300689320500606, c2=0.11238014983049277, score=0.781773 -   1.3s
[CV] c1=0.3779613778796252, c2=0.06380491640710521 ...................
[CV]  c1=0.3779613778796252, c2=0.06380491640710521, score=0.832351 -   1.2s
[CV] c1=0.050612644878370215, c2=0.01086669202695277 .................
[CV]  c1=0.050612644878370215, c2=0.01086669202695277, score=0.891976 -   1.3s
[CV] c1=0.1195267675625868, c2=0.027374113746274298 ..................
[CV]  c1=0.1195267675625868, c2=0.027374113746274298, score=0.871600 -   1.2s
[CV] c1=0.2600866094556267, c2=0.026879467013414468 ..................
[CV]  c1=0.2600866094556267, c2=0.026879467013414468, score=0.725541 -   1.0s
[CV] c1=0.037607613879006976, c2=0.08220867425107739 .................
[CV]  c1=0.037607613879006976, c2=0.08220867425107739, score=0.739873 -   1.0s
[CV] c1=2.394620233040506, c2=0.0286936906880715 .....................
[CV]  c1=2.394620233040506, c2=0.0286936906880715, score=0.568476 -   1.2s
[CV] c1=0.20610576024285723, c2=0.020632508623523556 .................
[CV]  c1=0.20610576024285723, c2=0.020632508623523556, score=0.809203 -   0.8s
[CV] c1=0.42503600745833686, c2=0.040884389430562516 .................
[CV]  c1=0.42503600745833686, c2=0.040884389430562516, score=0.815886 -   1.3s
[CV] c1=0.0015203736654497947, c2=0.043272463366507016 ...............
[CV]  c1=0.0015203736654497947, c2=0.043272463366507016, score=0.829293 -   1.2s
[CV] c1=0.025215120194713884, c2=0.030343399106649432 ................
[CV]  c1=0.025215120194713884, c2=0.030343399106649432, score=0.897196 -   1.3s
[CV] c1=0.8628027827740573, c2=0.08263923148754658 ...................
[CV]  c1=0.8628027827740573, c2=0.08263923148754658, score=0.655057 -   1.3s
[CV] c1=0.4935402958952068, c2=0.02419215099122692 ...................
[CV]  c1=0.4935402958952068, c2=0.02419215099122692, score=0.808011 -   1.3s
[CV] c1=0.1300689320500606, c2=0.11238014983049277 ...................
[CV]  c1=0.1300689320500606, c2=0.11238014983049277, score=0.795432 -   1.3s
[CV] c1=0.06807077743665808, c2=0.04321612161941586 ..................
[CV]  c1=0.06807077743665808, c2=0.04321612161941586, score=0.775701 -   1.3s
[CV] c1=0.050612644878370215, c2=0.01086669202695277 .................
[CV]  c1=0.050612644878370215, c2=0.01086669202695277, score=0.832432 -   1.3s
[CV] c1=0.32284289275600864, c2=0.11689098305228665 ..................
[CV]  c1=0.32284289275600864, c2=0.11689098305228665, score=0.737969 -   1.4s
[CV] c1=0.18173427316944646, c2=0.0011427547942975734 ................
[CV]  c1=0.18173427316944646, c2=0.0011427547942975734, score=0.823131 -   1.3s
[CV] c1=0.8083187384657832, c2=0.024894315384076254 ..................
[CV]  c1=0.8083187384657832, c2=0.024894315384076254, score=0.722815 -   1.3s
[CV] c1=0.527801680936537, c2=0.023464519929338727 ...................
[CV]  c1=0.527801680936537, c2=0.023464519929338727, score=0.873572 -   1.1s
[CV] c1=1.1737791044191024, c2=0.0503685823221745 ....................
[CV]  c1=1.1737791044191024, c2=0.0503685823221745, score=0.647861 -   1.3s
[CV] c1=0.46340524083105666, c2=0.11920045677929947 ..................
[CV]  c1=0.46340524083105666, c2=0.11920045677929947, score=0.784780 -   1.3s
[CV] c1=1.4913209003657608, c2=0.2282246807014886 ....................
[CV]  c1=1.4913209003657608, c2=0.2282246807014886, score=0.743946 -   1.3s
[CV] c1=0.8594289151037091, c2=0.018207130961789934 ..................
[CV]  c1=0.8594289151037091, c2=0.018207130961789934, score=0.658230 -   1.0s
[CV] c1=0.41296226684983756, c2=0.21512516521545022 ..................
[CV]  c1=0.41296226684983756, c2=0.21512516521545022, score=0.683919 -   1.3s
[CV] c1=0.5327842533564279, c2=0.05583704276129795 ...................
[CV]  c1=0.5327842533564279, c2=0.05583704276129795, score=0.756238 -   1.2s
[CV] c1=0.3779613778796252, c2=0.06380491640710521 ...................
[CV]  c1=0.3779613778796252, c2=0.06380491640710521, score=0.794779 -   1.3s
[CV] c1=0.050612644878370215, c2=0.01086669202695277 .................
[CV]  c1=0.050612644878370215, c2=0.01086669202695277, score=0.781336 -   1.3s
[CV] c1=0.32284289275600864, c2=0.11689098305228665 ..................
[CV]  c1=0.32284289275600864, c2=0.11689098305228665, score=0.677773 -   0.9s
[CV] c1=2.380008496466691, c2=0.07980497552038174 ....................
[CV]  c1=2.380008496466691, c2=0.07980497552038174, score=0.494546 -   1.1s
[CV] c1=0.037607613879006976, c2=0.08220867425107739 .................
[CV]  c1=0.037607613879006976, c2=0.08220867425107739, score=0.872991 -   1.2s
[CV] c1=0.006811093538251813, c2=0.010520081282893147 ................
[CV]  c1=0.006811093538251813, c2=0.010520081282893147, score=0.707856 -   1.0s
[CV] c1=0.20610576024285723, c2=0.020632508623523556 .................
[CV]  c1=0.20610576024285723, c2=0.020632508623523556, score=0.817155 -   0.9s
[CV] c1=0.010611466925381148, c2=0.09394084091301372 .................
[CV]  c1=0.010611466925381148, c2=0.09394084091301372, score=0.785458 -   1.2s
[CV] c1=0.8049824245400665, c2=0.0016162360577825997 .................
[CV]  c1=0.8049824245400665, c2=0.0016162360577825997, score=0.691117 -   1.3s
[CV] c1=0.7317914094766337, c2=0.01981126828223857 ...................
[CV]  c1=0.7317914094766337, c2=0.01981126828223857, score=0.837774 -   1.3s
[CV] c1=0.027717721652293147, c2=0.12922414899863377 .................
[CV]  c1=0.027717721652293147, c2=0.12922414899863377, score=0.797620 -   1.2s
[CV] c1=0.20056628402995214, c2=0.10518678489725607 ..................
[CV]  c1=0.20056628402995214, c2=0.10518678489725607, score=0.770325 -   1.4s
[CV] c1=0.23444651773130534, c2=0.12154277130908031 ..................
[CV]  c1=0.23444651773130534, c2=0.12154277130908031, score=0.861453 -   1.4s
[CV] c1=0.18356677219361633, c2=0.021736366751150326 .................
[CV]  c1=0.18356677219361633, c2=0.021736366751150326, score=0.712949 -   1.1s
[CV] c1=0.05590883676298723, c2=0.0993113595420101 ...................
[CV]  c1=0.05590883676298723, c2=0.0993113595420101, score=0.724365 -   1.0s
[CV] c1=0.2103306566296855, c2=0.018678447139729985 ..................
[CV]  c1=0.2103306566296855, c2=0.018678447139729985, score=0.804982 -   1.3s
[CV] c1=0.10196253479231147, c2=0.018734594513154987 .................
[CV]  c1=0.10196253479231147, c2=0.018734594513154987, score=0.691711 -   1.0s
[CV] c1=0.282800735688333, c2=0.01475022603131625 ....................
[CV]  c1=0.282800735688333, c2=0.01475022603131625, score=0.877029 -   1.3s
[CV] c1=0.03542809469155448, c2=0.10294317231443291 ..................
[CV]  c1=0.03542809469155448, c2=0.10294317231443291, score=0.796566 -   1.4s
[CV] c1=0.20610576024285723, c2=0.020632508623523556 .................
[CV]  c1=0.20610576024285723, c2=0.020632508623523556, score=0.789257 -   0.9s
[CV] c1=0.536282293109603, c2=0.05702914887635693 ....................
[CV]  c1=0.536282293109603, c2=0.05702914887635693, score=0.852634 -   1.2s
[CV] c1=0.4271917523307874, c2=0.002464638905271904 ..................
[CV]  c1=0.4271917523307874, c2=0.002464638905271904, score=0.724012 -   1.1s
[CV] c1=0.7595869383888315, c2=0.00037660876745005415 ................
[CV]  c1=0.7595869383888315, c2=0.00037660876745005415, score=0.762607 -   1.3s
[CV] c1=0.14287571016434925, c2=0.1330974860132827 ...................
[CV]  c1=0.14287571016434925, c2=0.1330974860132827, score=0.799858 -   1.2s
[CV] c1=0.016480046996110168, c2=0.08257843745605681 .................
[CV]  c1=0.016480046996110168, c2=0.08257843745605681, score=0.830759 -   1.4s
[CV] c1=0.9208886390050295, c2=0.10138205275607248 ...................
[CV]  c1=0.9208886390050295, c2=0.10138205275607248, score=0.634465 -   1.3s
[CV] c1=0.20990561952782172, c2=0.015296108016395369 .................
[CV]  c1=0.20990561952782172, c2=0.015296108016395369, score=0.828718 -   1.3s
[CV] c1=0.30973402616030876, c2=0.13736697216489255 ..................
[CV]  c1=0.30973402616030876, c2=0.13736697216489255, score=0.793399 -   1.3s
[CV] c1=0.31375314111927305, c2=0.012476767465648183 .................
[CV]  c1=0.31375314111927305, c2=0.012476767465648183, score=0.725541 -   1.0s
[CV] c1=0.1832420300449845, c2=0.06503958245715412 ...................
[CV]  c1=0.1832420300449845, c2=0.06503958245715412, score=0.775701 -   1.3s
[CV] c1=0.458201661242804, c2=0.021359783199121882 ...................
[CV]  c1=0.458201661242804, c2=0.021359783199121882, score=0.787593 -   1.3s
[CV] c1=0.12254248981059171, c2=0.06831278518131581 ..................
[CV]  c1=0.12254248981059171, c2=0.06831278518131581, score=0.689205 -   1.0s
[CV] c1=0.527801680936537, c2=0.023464519929338727 ...................
[CV]  c1=0.527801680936537, c2=0.023464519929338727, score=0.785587 -   1.0s
Training done in: 17.549494s
     Saving training model...
        Saving training model done in: 0.013253s
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Prediction done in: 0.027110s