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

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Run10_v12.txt 72.8 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run10
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: FalseS4: True
Run variant: 12
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: 0.003629s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0      1
0        lemma      :
1       postag      :
2     -1:lemma     in
3    -1:postag     IN
4     +1:lemma     m9
5    +1:postag     NN
6       hUpper  False
7       hLower  False
8       hGreek  False
9         symb  False
10    word[:1]      :
11  postag[:1]      :
12      -1:ner      _
13      +1:ner    MED
14      -2:ner      _
15      +2:ner    MED
--------------------------- FeaturesTest -----------------------------
             0           1
0        lemma  delta-arca
1       postag          NN
2     -1:lemma           _
3    -1:postag          NN
4     +1:lemma           _
5    +1:postag          CD
6       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10    word[:1]           d
11    word[:2]          de
12  postag[:1]           N
13  postag[:2]          NN
14      -1:ner           _
15      +1:ner           _
16      -2:ner           _
17      +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.38896195769134106, c2=0.09509652305654662 ..................
[CV]  c1=0.38896195769134106, c2=0.09509652305654662, score=0.821951 -   1.2s
[CV] c1=0.15894071641627716, c2=0.055328600121847454 .................
[CV]  c1=0.15894071641627716, c2=0.055328600121847454, score=0.881867 -   1.4s
[CV] c1=0.1439031286658284, c2=0.05954160376125422 ...................
[CV]  c1=0.1439031286658284, c2=0.05954160376125422, score=0.883688 -   1.4s
[CV] c1=0.3227141763036921, c2=0.026981722982447012 ..................
[CV]  c1=0.3227141763036921, c2=0.026981722982447012, score=0.759208 -   1.4s
[CV] c1=0.5468819187472043, c2=0.11583199006887249 ...................
[CV]  c1=0.5468819187472043, c2=0.11583199006887249, score=0.765761 -   1.3s
[CV] c1=0.20743225348509595, c2=0.03447558641674672 ..................
[CV]  c1=0.20743225348509595, c2=0.03447558641674672, score=0.774229 -   1.5s
[CV] c1=0.13541893505771013, c2=0.06264550788944567 ..................
[CV]  c1=0.13541893505771013, c2=0.06264550788944567, score=0.893667 -   1.4s
[CV] c1=0.5543800295879119, c2=0.04965712713751338 ...................
[CV]  c1=0.5543800295879119, c2=0.04965712713751338, score=0.712252 -   1.4s
[CV] c1=0.046049324715961445, c2=0.03857656713719032 .................
[CV]  c1=0.046049324715961445, c2=0.03857656713719032, score=0.836541 -   1.5s
[CV] c1=0.43305423263228104, c2=0.006284741405335724 .................
[CV]  c1=0.43305423263228104, c2=0.006284741405335724, score=0.845372 -   1.5s
[CV] c1=0.21633895366518788, c2=0.024016677855493305 .................
[CV]  c1=0.21633895366518788, c2=0.024016677855493305, score=0.838514 -   1.4s
[CV] c1=0.2476980848884124, c2=0.06829699943231787 ...................
[CV]  c1=0.2476980848884124, c2=0.06829699943231787, score=0.777341 -   1.2s
[CV] c1=1.265144911483882, c2=0.010142390720616103 ...................
[CV]  c1=1.265144911483882, c2=0.010142390720616103, score=0.653698 -   1.4s
[CV] c1=0.07521152217430603, c2=0.016055857761926993 .................
[CV]  c1=0.07521152217430603, c2=0.016055857761926993, score=0.814526 -   1.4s
[CV] c1=0.4082572462462068, c2=0.0020269999414507106 .................
[CV]  c1=0.4082572462462068, c2=0.0020269999414507106, score=0.794446 -   1.4s
[CV] c1=0.3720103248246766, c2=0.063578770562904 .....................
[CV]  c1=0.3720103248246766, c2=0.063578770562904, score=0.775945 -   1.1s
[CV] c1=0.4448429215999174, c2=0.015412693416206796 ..................
[CV]  c1=0.4448429215999174, c2=0.015412693416206796, score=0.872227 -   1.3s
[CV] c1=0.8276987706377584, c2=0.06266663894923681 ...................
[CV]  c1=0.8276987706377584, c2=0.06266663894923681, score=0.772370 -   1.3s
[CV] c1=0.07388892915421212, c2=0.003544921385315378 .................
[CV]  c1=0.07388892915421212, c2=0.003544921385315378, score=0.843829 -   1.2s
[CV] c1=0.4920994069975772, c2=0.03511518547520514 ...................
[CV]  c1=0.4920994069975772, c2=0.03511518547520514, score=0.735684 -   1.1s
[CV] c1=0.12440204133051358, c2=0.033156948879010634 .................
[CV]  c1=0.12440204133051358, c2=0.033156948879010634, score=0.845035 -   1.3s
[CV] c1=0.43305423263228104, c2=0.006284741405335724 .................
[CV]  c1=0.43305423263228104, c2=0.006284741405335724, score=0.737402 -   1.1s
[CV] c1=0.4956092115330641, c2=0.03494697166518628 ...................
[CV]  c1=0.4956092115330641, c2=0.03494697166518628, score=0.800271 -   1.5s
[CV] c1=0.1570622808632011, c2=0.009846129661283062 ..................
[CV]  c1=0.1570622808632011, c2=0.009846129661283062, score=0.809192 -   1.5s
[CV] c1=1.265144911483882, c2=0.010142390720616103 ...................
[CV]  c1=1.265144911483882, c2=0.010142390720616103, score=0.686069 -   1.5s
[CV] c1=0.07521152217430603, c2=0.016055857761926993 .................
[CV]  c1=0.07521152217430603, c2=0.016055857761926993, score=0.780279 -   1.4s
[CV] c1=1.932032019550692, c2=0.021240377256698778 ...................
[CV]  c1=1.932032019550692, c2=0.021240377256698778, score=0.756598 -   1.3s
[CV] c1=0.3720103248246766, c2=0.063578770562904 .....................
[CV]  c1=0.3720103248246766, c2=0.063578770562904, score=0.872838 -   1.3s
[CV] c1=0.4448429215999174, c2=0.015412693416206796 ..................
[CV]  c1=0.4448429215999174, c2=0.015412693416206796, score=0.788714 -   1.4s
[CV] c1=0.28631863721747697, c2=0.01566772848762534 ..................
[CV]  c1=0.28631863721747697, c2=0.01566772848762534, score=0.776002 -   1.1s
[CV] c1=0.07388892915421212, c2=0.003544921385315378 .................
[CV]  c1=0.07388892915421212, c2=0.003544921385315378, score=0.772267 -   1.4s
[CV] c1=0.8785464702660148, c2=0.08190289352901006 ...................
[CV]  c1=0.8785464702660148, c2=0.08190289352901006, score=0.840828 -   1.4s
[CV] c1=0.8654887939598437, c2=0.0024302543049607808 .................
[CV]  c1=0.8654887939598437, c2=0.0024302543049607808, score=0.756163 -   1.2s
[CV] c1=0.3174918831210764, c2=0.11107203473212333 ...................
[CV]  c1=0.3174918831210764, c2=0.11107203473212333, score=0.777244 -   1.4s
[CV] c1=1.393295095737776, c2=0.022683131232319992 ...................
[CV]  c1=1.393295095737776, c2=0.022683131232319992, score=0.629966 -   1.4s
[CV] c1=0.46271873901732585, c2=0.06640955993974021 ..................
[CV]  c1=0.46271873901732585, c2=0.06640955993974021, score=0.778847 -   1.1s
[CV] c1=0.5058652550216721, c2=0.05057516676404338 ...................
[CV]  c1=0.5058652550216721, c2=0.05057516676404338, score=0.865754 -   1.4s
[CV] c1=0.13752629115444953, c2=0.09771768841194627 ..................
[CV]  c1=0.13752629115444953, c2=0.09771768841194627, score=0.815006 -   1.3s
[CV] c1=2.585301185910826, c2=0.06379580231409236 ....................
[CV]  c1=2.585301185910826, c2=0.06379580231409236, score=0.500439 -   1.4s
[CV] c1=0.9201152338748854, c2=0.05604906080858643 ...................
[CV]  c1=0.9201152338748854, c2=0.05604906080858643, score=0.795091 -   1.3s
[CV] c1=0.07242390732381886, c2=0.003298505728595507 .................
[CV]  c1=0.07242390732381886, c2=0.003298505728595507, score=0.865865 -   1.3s
[CV] c1=0.1803644656651357, c2=0.07393140287303777 ...................
[CV]  c1=0.1803644656651357, c2=0.07393140287303777, score=0.792104 -   1.4s
[CV] c1=0.04565431695975158, c2=0.02055467996162544 ..................
[CV]  c1=0.04565431695975158, c2=0.02055467996162544, score=0.875137 -   1.4s
[CV] c1=0.36477856865237207, c2=0.06185949822718955 ..................
[CV]  c1=0.36477856865237207, c2=0.06185949822718955, score=0.867384 -   1.3s
[CV] c1=0.12440204133051358, c2=0.033156948879010634 .................
[CV]  c1=0.12440204133051358, c2=0.033156948879010634, score=0.781370 -   1.4s
[CV] c1=0.3174918831210764, c2=0.11107203473212333 ...................
[CV]  c1=0.3174918831210764, c2=0.11107203473212333, score=0.779708 -   1.2s
[CV] c1=0.8360963935929809, c2=0.02585044637093093 ...................
[CV]  c1=0.8360963935929809, c2=0.02585044637093093, score=0.737669 -   1.5s
[CV] c1=0.3367292921113137, c2=0.004627559518481059 ..................
[CV]  c1=0.3367292921113137, c2=0.004627559518481059, score=0.794091 -   1.4s
[CV] c1=0.5058652550216721, c2=0.05057516676404338 ...................
[CV]  c1=0.5058652550216721, c2=0.05057516676404338, score=0.813393 -   1.3s
[CV] c1=0.13752629115444953, c2=0.09771768841194627 ..................
[CV]  c1=0.13752629115444953, c2=0.09771768841194627, score=0.766868 -   1.4s
[CV] c1=2.585301185910826, c2=0.06379580231409236 ....................
[CV]  c1=2.585301185910826, c2=0.06379580231409236, score=0.584124 -   1.4s
[CV] c1=0.9201152338748854, c2=0.05604906080858643 ...................
[CV]  c1=0.9201152338748854, c2=0.05604906080858643, score=0.845405 -   1.5s
[CV] c1=0.07242390732381886, c2=0.003298505728595507 .................
[CV]  c1=0.07242390732381886, c2=0.003298505728595507, score=0.794293 -   1.5s
[CV] c1=0.8276987706377584, c2=0.06266663894923681 ...................
[CV]  c1=0.8276987706377584, c2=0.06266663894923681, score=0.856594 -   1.3s
[CV] c1=0.07388892915421212, c2=0.003544921385315378 .................
[CV]  c1=0.07388892915421212, c2=0.003544921385315378, score=0.861207 -   1.3s
[CV] c1=0.4920994069975772, c2=0.03511518547520514 ...................
[CV]  c1=0.4920994069975772, c2=0.03511518547520514, score=0.869275 -   1.4s
[CV] c1=0.15825385512023937, c2=0.019299884825626962 .................
[CV]  c1=0.15825385512023937, c2=0.019299884825626962, score=0.786269 -   1.1s
[CV] c1=0.43305423263228104, c2=0.006284741405335724 .................
[CV]  c1=0.43305423263228104, c2=0.006284741405335724, score=0.813473 -   1.4s
[CV] c1=0.21633895366518788, c2=0.024016677855493305 .................
[CV]  c1=0.21633895366518788, c2=0.024016677855493305, score=0.888280 -   1.4s
[CV] c1=0.2476980848884124, c2=0.06829699943231787 ...................
[CV]  c1=0.2476980848884124, c2=0.06829699943231787, score=0.867323 -   1.4s
[CV] c1=0.17749173393210785, c2=0.003875489469007485 .................
[CV]  c1=0.17749173393210785, c2=0.003875489469007485, score=0.804488 -   1.2s
[CV] c1=1.1132420764316155, c2=0.005226206562758296 ..................
[CV]  c1=1.1132420764316155, c2=0.005226206562758296, score=0.782155 -   1.3s
[CV] c1=0.08929972877445985, c2=0.003855278816301855 .................
[CV]  c1=0.08929972877445985, c2=0.003855278816301855, score=0.854503 -   1.3s
[CV] c1=0.3307344940733391, c2=0.121566047662798 .....................
[CV]  c1=0.3307344940733391, c2=0.121566047662798, score=0.765352 -   1.1s
[CV] c1=0.3720103248246766, c2=0.063578770562904 .....................
[CV]  c1=0.3720103248246766, c2=0.063578770562904, score=0.746927 -   1.5s
[CV] c1=0.1670745092834933, c2=0.04818867864766707 ...................
[CV]  c1=0.1670745092834933, c2=0.04818867864766707, score=0.821139 -   1.4s
[CV] c1=0.28631863721747697, c2=0.01566772848762534 ..................
[CV]  c1=0.28631863721747697, c2=0.01566772848762534, score=0.801490 -   1.6s
[CV] c1=0.3112421896877116, c2=0.03261860702625779 ...................
[CV]  c1=0.3112421896877116, c2=0.03261860702625779, score=0.877886 -   1.4s
[CV] c1=0.12410572762360897, c2=0.02530191576921517 ..................
[CV]  c1=0.12410572762360897, c2=0.02530191576921517, score=0.810414 -   1.5s
[CV] c1=0.717937719279629, c2=0.052919144703032696 ...................
[CV]  c1=0.717937719279629, c2=0.052919144703032696, score=0.722026 -   1.3s
[CV] c1=0.4956092115330641, c2=0.03494697166518628 ...................
[CV]  c1=0.4956092115330641, c2=0.03494697166518628, score=0.786578 -   1.4s
[CV] c1=0.3651942504004118, c2=0.05098790436403625 ...................
[CV]  c1=0.3651942504004118, c2=0.05098790436403625, score=0.791319 -   1.7s
[CV] c1=1.265144911483882, c2=0.010142390720616103 ...................
[CV]  c1=1.265144911483882, c2=0.010142390720616103, score=0.696038 -   1.2s
[CV] c1=0.048087781570512675, c2=0.01942514230412066 .................
[CV]  c1=0.048087781570512675, c2=0.01942514230412066, score=0.784955 -   1.4s
[CV] c1=0.23655961992459007, c2=0.010370246716633998 .................
[CV]  c1=0.23655961992459007, c2=0.010370246716633998, score=0.776502 -   1.2s
[CV] c1=0.9201152338748854, c2=0.05604906080858643 ...................
[CV]  c1=0.9201152338748854, c2=0.05604906080858643, score=0.735537 -   1.5s
[CV] c1=0.22208883290212528, c2=0.008582101767065106 .................
[CV]  c1=0.22208883290212528, c2=0.008582101767065106, score=0.797668 -   1.5s
[CV] c1=0.6004358492803636, c2=0.050441256646076876 ..................
[CV]  c1=0.6004358492803636, c2=0.050441256646076876, score=0.737893 -   1.1s
[CV] c1=0.04565431695975158, c2=0.02055467996162544 ..................
[CV]  c1=0.04565431695975158, c2=0.02055467996162544, score=0.823554 -   1.4s
[CV] c1=0.4920994069975772, c2=0.03511518547520514 ...................
[CV]  c1=0.4920994069975772, c2=0.03511518547520514, score=0.815426 -   1.4s
[CV] c1=0.15825385512023937, c2=0.019299884825626962 .................
[CV]  c1=0.15825385512023937, c2=0.019299884825626962, score=0.847759 -   1.4s
[CV] c1=0.6645999872207827, c2=0.022775885178737017 ..................
[CV]  c1=0.6645999872207827, c2=0.022775885178737017, score=0.799798 -   1.3s
[CV] c1=1.393295095737776, c2=0.022683131232319992 ...................
[CV]  c1=1.393295095737776, c2=0.022683131232319992, score=0.636527 -   1.1s
[CV] c1=0.3367292921113137, c2=0.004627559518481059 ..................
[CV]  c1=0.3367292921113137, c2=0.004627559518481059, score=0.802762 -   1.4s
[CV] c1=0.3365387632299885, c2=0.0037762467291334078 .................
[CV]  c1=0.3365387632299885, c2=0.0037762467291334078, score=0.794470 -   1.4s
[CV] c1=0.0945287290444195, c2=0.07756594179677656 ...................
[CV]  c1=0.0945287290444195, c2=0.07756594179677656, score=0.780828 -   1.4s
[CV] c1=2.585301185910826, c2=0.06379580231409236 ....................
[CV]  c1=2.585301185910826, c2=0.06379580231409236, score=0.593390 -   1.4s
[CV] c1=0.34706700778218946, c2=0.009103842439542499 .................
[CV]  c1=0.34706700778218946, c2=0.009103842439542499, score=0.847594 -   1.3s
[CV] c1=0.36303235634499537, c2=0.027189505873539233 .................
[CV]  c1=0.36303235634499537, c2=0.027189505873539233, score=0.845039 -   1.3s
[CV] c1=0.1803644656651357, c2=0.07393140287303777 ...................
[CV]  c1=0.1803644656651357, c2=0.07393140287303777, score=0.774229 -   1.4s
[CV] c1=0.6022331033590007, c2=0.03314983908599913 ...................
[CV]  c1=0.6022331033590007, c2=0.03314983908599913, score=0.812658 -   1.3s
[CV] c1=0.40477209464094677, c2=0.0006907148608235766 ................
[CV]  c1=0.40477209464094677, c2=0.0006907148608235766, score=0.755360 -   1.5s
[CV] c1=0.13394073075767624, c2=0.012689668908600736 .................
[CV]  c1=0.13394073075767624, c2=0.012689668908600736, score=0.868732 -   1.4s
[CV] c1=0.3174918831210764, c2=0.11107203473212333 ...................
[CV]  c1=0.3174918831210764, c2=0.11107203473212333, score=0.724395 -   1.3s
[CV] c1=0.3524906735375882, c2=0.002621036184700963 ..................
[CV]  c1=0.3524906735375882, c2=0.002621036184700963, score=0.820199 -   1.5s
[CV] c1=0.2476980848884124, c2=0.06829699943231787 ...................
[CV]  c1=0.2476980848884124, c2=0.06829699943231787, score=0.838903 -   1.3s
[CV] c1=0.148335168017072, c2=0.0009587116948310156 ..................
[CV]  c1=0.148335168017072, c2=0.0009587116948310156, score=0.786911 -   1.0s
[CV] c1=1.1132420764316155, c2=0.005226206562758296 ..................
[CV]  c1=1.1132420764316155, c2=0.005226206562758296, score=0.700920 -   1.0s
[CV] c1=1.8117725491079322, c2=0.07582744284486446 ...................
[CV]  c1=1.8117725491079322, c2=0.07582744284486446, score=0.590771 -   1.4s
[CV] c1=1.932032019550692, c2=0.021240377256698778 ...................
[CV]  c1=1.932032019550692, c2=0.021240377256698778, score=0.605266 -   1.6s
[CV] c1=0.3720103248246766, c2=0.063578770562904 .....................
[CV]  c1=0.3720103248246766, c2=0.063578770562904, score=0.791722 -   1.4s
[CV] c1=0.43864310353207825, c2=0.002721159590296125 .................
[CV]  c1=0.43864310353207825, c2=0.002721159590296125, score=0.836633 -   1.3s
[CV] c1=0.02253735542494653, c2=0.05667748731917169 ..................
[CV]  c1=0.02253735542494653, c2=0.05667748731917169, score=0.756135 -   1.2s
[CV] c1=0.5766109653125148, c2=0.0001826356728064186 .................
[CV]  c1=0.5766109653125148, c2=0.0001826356728064186, score=0.728379 -   1.7s
[CV] c1=0.5923685760287746, c2=0.07440160993832338 ...................
[CV]  c1=0.5923685760287746, c2=0.07440160993832338, score=0.699191 -   1.7s
[CV] c1=0.717937719279629, c2=0.052919144703032696 ...................
[CV]  c1=0.717937719279629, c2=0.052919144703032696, score=0.782313 -   1.5s
[CV] c1=0.3524906735375882, c2=0.002621036184700963 ..................
[CV]  c1=0.3524906735375882, c2=0.002621036184700963, score=0.847090 -   1.4s
[CV] c1=0.3367292921113137, c2=0.004627559518481059 ..................
[CV]  c1=0.3367292921113137, c2=0.004627559518481059, score=0.845372 -   1.6s
[CV] c1=0.38896195769134106, c2=0.09509652305654662 ..................
[CV]  c1=0.38896195769134106, c2=0.09509652305654662, score=0.764018 -   0.9s
[CV] c1=0.11423128397075168, c2=0.010944275308609431 .................
[CV]  c1=0.11423128397075168, c2=0.010944275308609431, score=0.872809 -   1.3s
[CV] c1=1.8117725491079322, c2=0.07582744284486446 ...................
[CV]  c1=1.8117725491079322, c2=0.07582744284486446, score=0.624182 -   1.2s
[CV] c1=0.4082572462462068, c2=0.0020269999414507106 .................
[CV]  c1=0.4082572462462068, c2=0.0020269999414507106, score=0.771446 -   1.4s
[CV] c1=0.101574575425866, c2=0.11780344542080066 ....................
[CV]  c1=0.101574575425866, c2=0.11780344542080066, score=0.842784 -   1.3s
[CV] c1=0.4448429215999174, c2=0.015412693416206796 ..................
[CV]  c1=0.4448429215999174, c2=0.015412693416206796, score=0.842784 -   1.3s
[CV] c1=0.6004358492803636, c2=0.050441256646076876 ..................
[CV]  c1=0.6004358492803636, c2=0.050441256646076876, score=0.691955 -   1.4s
[CV] c1=0.3260217631154064, c2=0.05043317647601665 ...................
[CV]  c1=0.3260217631154064, c2=0.05043317647601665, score=0.798059 -   1.5s
[CV] c1=1.0414830471393919, c2=0.06329279875569452 ...................
[CV]  c1=1.0414830471393919, c2=0.06329279875569452, score=0.676959 -   1.1s
[CV] c1=0.15825385512023937, c2=0.019299884825626962 .................
[CV]  c1=0.15825385512023937, c2=0.019299884825626962, score=0.831017 -   1.5s
[CV] c1=0.0920803550562826, c2=0.009799603119119153 ..................
[CV]  c1=0.0920803550562826, c2=0.009799603119119153, score=0.793425 -   1.4s
[CV] c1=0.044596088155027976, c2=0.03116922541562497 .................
[CV]  c1=0.044596088155027976, c2=0.03116922541562497, score=0.784955 -   1.4s
[CV] c1=0.13080444661488075, c2=0.0322849173610305 ...................
[CV]  c1=0.13080444661488075, c2=0.0322849173610305, score=0.779140 -   1.0s
[CV] c1=0.17749173393210785, c2=0.003875489469007485 .................
[CV]  c1=0.17749173393210785, c2=0.003875489469007485, score=0.804585 -   1.1s
[CV] c1=0.11423128397075168, c2=0.010944275308609431 .................
[CV]  c1=0.11423128397075168, c2=0.010944275308609431, score=0.847759 -   1.4s
[CV] c1=1.8117725491079322, c2=0.07582744284486446 ...................
[CV]  c1=1.8117725491079322, c2=0.07582744284486446, score=0.559750 -   1.6s
[CV] c1=0.3227141763036921, c2=0.026981722982447012 ..................
[CV]  c1=0.3227141763036921, c2=0.026981722982447012, score=0.884516 -   1.4s
[CV] c1=0.5468819187472043, c2=0.11583199006887249 ...................
[CV]  c1=0.5468819187472043, c2=0.11583199006887249, score=0.687711 -   1.4s
[CV] c1=0.20743225348509595, c2=0.03447558641674672 ..................
[CV]  c1=0.20743225348509595, c2=0.03447558641674672, score=0.808203 -   1.5s
[CV] c1=0.13541893505771013, c2=0.06264550788944567 ..................
[CV]  c1=0.13541893505771013, c2=0.06264550788944567, score=0.786900 -   1.5s
[CV] c1=0.40477209464094677, c2=0.0006907148608235766 ................
[CV]  c1=0.40477209464094677, c2=0.0006907148608235766, score=0.829973 -   1.4s
[CV] c1=0.13394073075767624, c2=0.012689668908600736 .................
[CV]  c1=0.13394073075767624, c2=0.012689668908600736, score=0.780750 -   1.2s
[CV] c1=0.43305423263228104, c2=0.006284741405335724 .................
[CV]  c1=0.43305423263228104, c2=0.006284741405335724, score=0.875035 -   1.4s
[CV] c1=0.3524906735375882, c2=0.002621036184700963 ..................
[CV]  c1=0.3524906735375882, c2=0.002621036184700963, score=0.796157 -   1.6s
[CV] c1=0.2476980848884124, c2=0.06829699943231787 ...................
[CV]  c1=0.2476980848884124, c2=0.06829699943231787, score=0.772393 -   1.5s
[CV] c1=0.17749173393210785, c2=0.003875489469007485 .................
[CV]  c1=0.17749173393210785, c2=0.003875489469007485, score=0.856099 -   1.1s
[CV] c1=0.11423128397075168, c2=0.010944275308609431 .................
[CV]  c1=0.11423128397075168, c2=0.010944275308609431, score=0.793661 -   1.1s
[CV] c1=1.8117725491079322, c2=0.07582744284486446 ...................
[CV]  c1=1.8117725491079322, c2=0.07582744284486446, score=0.758449 -   1.4s
[CV] c1=1.932032019550692, c2=0.021240377256698778 ...................
[CV]  c1=1.932032019550692, c2=0.021240377256698778, score=0.617147 -   1.1s
[CV] c1=0.101574575425866, c2=0.11780344542080066 ....................
[CV]  c1=0.101574575425866, c2=0.11780344542080066, score=0.873674 -   1.4s
[CV] c1=0.4448429215999174, c2=0.015412693416206796 ..................
[CV]  c1=0.4448429215999174, c2=0.015412693416206796, score=0.745600 -   1.5s
[CV] c1=0.28631863721747697, c2=0.01566772848762534 ..................
[CV]  c1=0.28631863721747697, c2=0.01566772848762534, score=0.870421 -   1.4s
[CV] c1=0.5766109653125148, c2=0.0001826356728064186 .................
[CV]  c1=0.5766109653125148, c2=0.0001826356728064186, score=0.883205 -   1.3s
[CV] c1=1.0414830471393919, c2=0.06329279875569452 ...................
[CV]  c1=1.0414830471393919, c2=0.06329279875569452, score=0.825262 -   1.3s
[CV] c1=0.030579467452088744, c2=0.11526330436904486 .................
[CV]  c1=0.030579467452088744, c2=0.11526330436904486, score=0.882069 -   1.4s
[CV] c1=0.05046264535473933, c2=0.07861324729904134 ..................
[CV]  c1=0.05046264535473933, c2=0.07861324729904134, score=0.779065 -   1.1s
[CV] c1=0.044596088155027976, c2=0.03116922541562497 .................
[CV]  c1=0.044596088155027976, c2=0.03116922541562497, score=0.880821 -   1.4s
[CV] c1=0.31093729974688883, c2=0.04403368275078524 ..................
[CV]  c1=0.31093729974688883, c2=0.04403368275078524, score=0.781387 -   1.2s
[CV] c1=0.17749173393210785, c2=0.003875489469007485 .................
[CV]  c1=0.17749173393210785, c2=0.003875489469007485, score=0.883375 -   1.1s
[CV] c1=0.11423128397075168, c2=0.010944275308609431 .................
[CV]  c1=0.11423128397075168, c2=0.010944275308609431, score=0.810414 -   1.5s
[CV] c1=0.08929972877445985, c2=0.003855278816301855 .................
[CV]  c1=0.08929972877445985, c2=0.003855278816301855, score=0.871069 -   1.5s
[CV] c1=0.3307344940733391, c2=0.121566047662798 .....................
[CV]  c1=0.3307344940733391, c2=0.121566047662798, score=0.794173 -   1.4s
[CV] c1=0.17413410682469588, c2=0.03358848016564158 ..................
[CV]  c1=0.17413410682469588, c2=0.03358848016564158, score=0.795182 -   1.6s
[CV] c1=0.025874137482164515, c2=0.022178281747250405 ................
[CV]  c1=0.025874137482164515, c2=0.022178281747250405, score=0.833201 -   1.5s
[CV] c1=0.6022331033590007, c2=0.03314983908599913 ...................
[CV]  c1=0.6022331033590007, c2=0.03314983908599913, score=0.794199 -   1.5s
[CV] c1=0.36477856865237207, c2=0.06185949822718955 ..................
[CV]  c1=0.36477856865237207, c2=0.06185949822718955, score=0.778847 -   1.2s
[CV] c1=0.12440204133051358, c2=0.033156948879010634 .................
[CV]  c1=0.12440204133051358, c2=0.033156948879010634, score=0.884997 -   1.4s
[CV] c1=0.43305423263228104, c2=0.006284741405335724 .................
[CV]  c1=0.43305423263228104, c2=0.006284741405335724, score=0.756576 -   1.5s
[CV] c1=0.21633895366518788, c2=0.024016677855493305 .................
[CV]  c1=0.21633895366518788, c2=0.024016677855493305, score=0.809828 -   1.5s
[CV] c1=0.46271873901732585, c2=0.06640955993974021 ..................
[CV]  c1=0.46271873901732585, c2=0.06640955993974021, score=0.813871 -   1.4s
[CV] c1=0.5058652550216721, c2=0.05057516676404338 ...................
[CV]  c1=0.5058652550216721, c2=0.05057516676404338, score=0.762381 -   1.3s
[CV] c1=0.0945287290444195, c2=0.07756594179677656 ...................
[CV]  c1=0.0945287290444195, c2=0.07756594179677656, score=0.821139 -   1.2s
[CV] c1=0.1439031286658284, c2=0.05954160376125422 ...................
[CV]  c1=0.1439031286658284, c2=0.05954160376125422, score=0.812705 -   1.4s
[CV] c1=0.32848760328844673, c2=0.009612874474217112 .................
[CV]  c1=0.32848760328844673, c2=0.009612874474217112, score=0.838514 -   1.4s
[CV] c1=0.29538990434689205, c2=0.05799580376049889 ..................
[CV]  c1=0.29538990434689205, c2=0.05799580376049889, score=0.817261 -   1.4s
[CV] c1=0.025874137482164515, c2=0.022178281747250405 ................
[CV]  c1=0.025874137482164515, c2=0.022178281747250405, score=0.818878 -   1.4s
[CV] c1=0.6022331033590007, c2=0.03314983908599913 ...................
[CV]  c1=0.6022331033590007, c2=0.03314983908599913, score=0.717854 -   1.6s
[CV] c1=0.36477856865237207, c2=0.06185949822718955 ..................
[CV]  c1=0.36477856865237207, c2=0.06185949822718955, score=0.822889 -   1.3s
[CV] c1=0.13394073075767624, c2=0.012689668908600736 .................
[CV]  c1=0.13394073075767624, c2=0.012689668908600736, score=0.789557 -   1.4s
[CV] c1=0.6645999872207827, c2=0.022775885178737017 ..................
[CV]  c1=0.6645999872207827, c2=0.022775885178737017, score=0.860186 -   1.4s
[CV] c1=1.393295095737776, c2=0.022683131232319992 ...................
[CV]  c1=1.393295095737776, c2=0.022683131232319992, score=0.774323 -   1.3s
[CV] c1=0.46271873901732585, c2=0.06640955993974021 ..................
[CV]  c1=0.46271873901732585, c2=0.06640955993974021, score=0.738971 -   1.4s
[CV] c1=0.3442911505889313, c2=0.007159857838116935 ..................
[CV]  c1=0.3442911505889313, c2=0.007159857838116935, score=0.803080 -   1.5s
[CV] c1=0.07521152217430603, c2=0.016055857761926993 .................
[CV]  c1=0.07521152217430603, c2=0.016055857761926993, score=0.786911 -   1.1s
[CV] c1=0.16606910735907077, c2=0.006205099568917824 .................
[CV]  c1=0.16606910735907077, c2=0.006205099568917824, score=0.841409 -   1.3s
[CV] c1=0.9201152338748854, c2=0.05604906080858643 ...................
[CV]  c1=0.9201152338748854, c2=0.05604906080858643, score=0.718356 -   1.1s
[CV] c1=0.29538990434689205, c2=0.05799580376049889 ..................
[CV]  c1=0.29538990434689205, c2=0.05799580376049889, score=0.836625 -   1.8s
[CV] c1=0.8276987706377584, c2=0.06266663894923681 ...................
[CV]  c1=0.8276987706377584, c2=0.06266663894923681, score=0.689807 -   1.5s
[CV] c1=0.3260217631154064, c2=0.05043317647601665 ...................
[CV]  c1=0.3260217631154064, c2=0.05043317647601665, score=0.786313 -   1.2s
[CV] c1=0.4920994069975772, c2=0.03511518547520514 ...................
[CV]  c1=0.4920994069975772, c2=0.03511518547520514, score=0.803843 -   1.5s
[CV] c1=0.8654887939598437, c2=0.0024302543049607808 .................
[CV]  c1=0.8654887939598437, c2=0.0024302543049607808, score=0.696160 -   1.5s
[CV] c1=0.0920803550562826, c2=0.009799603119119153 ..................
[CV]  c1=0.0920803550562826, c2=0.009799603119119153, score=0.780279 -   1.5s
[CV] c1=0.5922492414302022, c2=0.0353372928940678 ....................
[CV]  c1=0.5922492414302022, c2=0.0353372928940678, score=0.687085 -   1.1s
[CV] c1=0.31093729974688883, c2=0.04403368275078524 ..................
[CV]  c1=0.31093729974688883, c2=0.04403368275078524, score=0.889124 -   1.3s
[CV] c1=0.3442911505889313, c2=0.007159857838116935 ..................
[CV]  c1=0.3442911505889313, c2=0.007159857838116935, score=0.827702 -   1.3s
[CV] c1=0.3217542694847277, c2=0.1300528158245829 ....................
[CV]  c1=0.3217542694847277, c2=0.1300528158245829, score=0.742874 -   1.1s
[CV] c1=0.16606910735907077, c2=0.006205099568917824 .................
[CV]  c1=0.16606910735907077, c2=0.006205099568917824, score=0.779005 -   1.2s
[CV] c1=0.32848760328844673, c2=0.009612874474217112 .................
[CV]  c1=0.32848760328844673, c2=0.009612874474217112, score=0.817832 -   1.5s
[CV] c1=0.36303235634499537, c2=0.027189505873539233 .................
[CV]  c1=0.36303235634499537, c2=0.027189505873539233, score=0.773257 -   1.6s
[CV] c1=0.2237685289205968, c2=0.024639842940767872 ..................
[CV]  c1=0.2237685289205968, c2=0.024639842940767872, score=0.803527 -   1.4s
[CV] c1=0.07388892915421212, c2=0.003544921385315378 .................
[CV]  c1=0.07388892915421212, c2=0.003544921385315378, score=0.802882 -   1.4s
[CV] c1=0.4920994069975772, c2=0.03511518547520514 ...................
[CV]  c1=0.4920994069975772, c2=0.03511518547520514, score=0.728266 -   1.5s
[CV] c1=0.8654887939598437, c2=0.0024302543049607808 .................
[CV]  c1=0.8654887939598437, c2=0.0024302543049607808, score=0.843773 -   1.4s
[CV] c1=0.0920803550562826, c2=0.009799603119119153 ..................
[CV]  c1=0.0920803550562826, c2=0.009799603119119153, score=0.755429 -   1.1s
[CV] c1=1.393295095737776, c2=0.022683131232319992 ...................
[CV]  c1=1.393295095737776, c2=0.022683131232319992, score=0.795620 -   1.4s
[CV] c1=0.46271873901732585, c2=0.06640955993974021 ..................
[CV]  c1=0.46271873901732585, c2=0.06640955993974021, score=0.853227 -   1.4s
[CV] c1=0.3365387632299885, c2=0.0037762467291334078 .................
[CV]  c1=0.3365387632299885, c2=0.0037762467291334078, score=0.820831 -   1.5s
[CV] c1=0.13752629115444953, c2=0.09771768841194627 ..................
[CV]  c1=0.13752629115444953, c2=0.09771768841194627, score=0.786900 -   1.4s
[CV] c1=0.16606910735907077, c2=0.006205099568917824 .................
[CV]  c1=0.16606910735907077, c2=0.006205099568917824, score=0.866859 -   1.4s
[CV] c1=0.34706700778218946, c2=0.009103842439542499 .................
[CV]  c1=0.34706700778218946, c2=0.009103842439542499, score=0.823643 -   1.4s
[CV] c1=0.07242390732381886, c2=0.003298505728595507 .................
[CV]  c1=0.07242390732381886, c2=0.003298505728595507, score=0.862349 -   1.4s
[CV] c1=0.2237685289205968, c2=0.024639842940767872 ..................
[CV]  c1=0.2237685289205968, c2=0.024639842940767872, score=0.786872 -   1.5s
[CV] c1=0.07388892915421212, c2=0.003544921385315378 .................
[CV]  c1=0.07388892915421212, c2=0.003544921385315378, score=0.783126 -   1.2s
[CV] c1=0.40477209464094677, c2=0.0006907148608235766 ................
[CV]  c1=0.40477209464094677, c2=0.0006907148608235766, score=0.794446 -   1.4s
[CV] c1=0.13394073075767624, c2=0.012689668908600736 .................
[CV]  c1=0.13394073075767624, c2=0.012689668908600736, score=0.834930 -   1.3s
[CV] c1=0.3174918831210764, c2=0.11107203473212333 ...................
[CV]  c1=0.3174918831210764, c2=0.11107203473212333, score=0.796428 -   1.3s
[CV] c1=0.21633895366518788, c2=0.024016677855493305 .................
[CV]  c1=0.21633895366518788, c2=0.024016677855493305, score=0.797195 -   1.4s
[CV] c1=0.2476980848884124, c2=0.06829699943231787 ...................
[CV]  c1=0.2476980848884124, c2=0.06829699943231787, score=0.810920 -   1.4s
[CV] c1=0.38896195769134106, c2=0.09509652305654662 ..................
[CV]  c1=0.38896195769134106, c2=0.09509652305654662, score=0.704036 -   1.3s
[CV] c1=0.15894071641627716, c2=0.055328600121847454 .................
[CV]  c1=0.15894071641627716, c2=0.055328600121847454, score=0.767291 -   1.1s
[CV] c1=1.8117725491079322, c2=0.07582744284486446 ...................
[CV]  c1=1.8117725491079322, c2=0.07582744284486446, score=0.723256 -   1.3s
[CV] c1=1.932032019550692, c2=0.021240377256698778 ...................
[CV]  c1=1.932032019550692, c2=0.021240377256698778, score=0.541301 -   1.5s
[CV] c1=0.17413410682469588, c2=0.03358848016564158 ..................
[CV]  c1=0.17413410682469588, c2=0.03358848016564158, score=0.878618 -   1.4s
[CV] c1=0.43864310353207825, c2=0.002721159590296125 .................
[CV]  c1=0.43864310353207825, c2=0.002721159590296125, score=0.787720 -   1.2s
[CV] c1=0.28631863721747697, c2=0.01566772848762534 ..................
[CV]  c1=0.28631863721747697, c2=0.01566772848762534, score=0.838514 -   1.3s
[CV] c1=0.5766109653125148, c2=0.0001826356728064186 .................
[CV]  c1=0.5766109653125148, c2=0.0001826356728064186, score=0.802745 -   1.4s
[CV] c1=1.0414830471393919, c2=0.06329279875569452 ...................
[CV]  c1=1.0414830471393919, c2=0.06329279875569452, score=0.787446 -   1.3s
[CV] c1=0.030579467452088744, c2=0.11526330436904486 .................
[CV]  c1=0.030579467452088744, c2=0.11526330436904486, score=0.848916 -   1.3s
[CV] c1=0.05046264535473933, c2=0.07861324729904134 ..................
[CV]  c1=0.05046264535473933, c2=0.07861324729904134, score=0.803320 -   1.5s
[CV] c1=0.5922492414302022, c2=0.0353372928940678 ....................
[CV]  c1=0.5922492414302022, c2=0.0353372928940678, score=0.803688 -   1.4s
[CV] c1=0.1533329592529163, c2=0.021414702794110195 ..................
[CV]  c1=0.1533329592529163, c2=0.021414702794110195, score=0.777110 -   1.0s
[CV] c1=0.38896195769134106, c2=0.09509652305654662 ..................
[CV]  c1=0.38896195769134106, c2=0.09509652305654662, score=0.798424 -   1.2s
[CV] c1=1.1132420764316155, c2=0.005226206562758296 ..................
[CV]  c1=1.1132420764316155, c2=0.005226206562758296, score=0.643341 -   1.4s
[CV] c1=0.1439031286658284, c2=0.05954160376125422 ...................
[CV]  c1=0.1439031286658284, c2=0.05954160376125422, score=0.760608 -   1.2s
[CV] c1=0.3307344940733391, c2=0.121566047662798 .....................
[CV]  c1=0.3307344940733391, c2=0.121566047662798, score=0.863332 -   1.4s
[CV] c1=0.17413410682469588, c2=0.03358848016564158 ..................
[CV]  c1=0.17413410682469588, c2=0.03358848016564158, score=0.805756 -   1.1s
[CV] c1=0.1670745092834933, c2=0.04818867864766707 ...................
[CV]  c1=0.1670745092834933, c2=0.04818867864766707, score=0.797345 -   1.4s
[CV] c1=0.28631863721747697, c2=0.01566772848762534 ..................
[CV]  c1=0.28631863721747697, c2=0.01566772848762534, score=0.793512 -   1.4s
[CV] c1=0.5766109653125148, c2=0.0001826356728064186 .................
[CV]  c1=0.5766109653125148, c2=0.0001826356728064186, score=0.802722 -   1.5s
[CV] c1=0.5923685760287746, c2=0.07440160993832338 ...................
[CV]  c1=0.5923685760287746, c2=0.07440160993832338, score=0.867150 -   1.4s
[CV] c1=0.1406050866337685, c2=0.01800414686506951 ...................
[CV]  c1=0.1406050866337685, c2=0.01800414686506951, score=0.778434 -   1.2s
[CV] c1=0.05046264535473933, c2=0.07861324729904134 ..................
[CV]  c1=0.05046264535473933, c2=0.07861324729904134, score=0.817258 -   1.4s
[CV] c1=0.5922492414302022, c2=0.0353372928940678 ....................
[CV]  c1=0.5922492414302022, c2=0.0353372928940678, score=0.802745 -   1.4s
[CV] c1=0.13080444661488075, c2=0.0322849173610305 ...................
[CV]  c1=0.13080444661488075, c2=0.0322849173610305, score=0.843878 -   1.1s
[CV] c1=0.3442911505889313, c2=0.007159857838116935 ..................
[CV]  c1=0.3442911505889313, c2=0.007159857838116935, score=0.886191 -   1.3s
[CV] c1=0.048087781570512675, c2=0.01942514230412066 .................
[CV]  c1=0.048087781570512675, c2=0.01942514230412066, score=0.850273 -   1.3s
[CV] c1=0.16606910735907077, c2=0.006205099568917824 .................
[CV]  c1=0.16606910735907077, c2=0.006205099568917824, score=0.825985 -   1.4s
[CV] c1=0.33834904438021035, c2=0.11251305115841426 ..................
[CV]  c1=0.33834904438021035, c2=0.11251305115841426, score=0.747429 -   1.4s
[CV] c1=0.22208883290212528, c2=0.008582101767065106 .................
[CV]  c1=0.22208883290212528, c2=0.008582101767065106, score=0.842816 -   1.3s
[CV] c1=0.2237685289205968, c2=0.024639842940767872 ..................
[CV]  c1=0.2237685289205968, c2=0.024639842940767872, score=0.836259 -   1.3s
[CV] c1=0.04565431695975158, c2=0.02055467996162544 ..................
[CV]  c1=0.04565431695975158, c2=0.02055467996162544, score=0.822774 -   1.4s
[CV] c1=0.36477856865237207, c2=0.06185949822718955 ..................
[CV]  c1=0.36477856865237207, c2=0.06185949822718955, score=0.791722 -   1.4s
[CV] c1=0.15825385512023937, c2=0.019299884825626962 .................
[CV]  c1=0.15825385512023937, c2=0.019299884825626962, score=0.810414 -   1.4s
[CV] c1=0.6645999872207827, c2=0.022775885178737017 ..................
[CV]  c1=0.6645999872207827, c2=0.022775885178737017, score=0.732715 -   1.5s
[CV] c1=0.044596088155027976, c2=0.03116922541562497 .................
[CV]  c1=0.044596088155027976, c2=0.03116922541562497, score=0.784289 -   1.2s
[CV] c1=0.46271873901732585, c2=0.06640955993974021 ..................
[CV]  c1=0.46271873901732585, c2=0.06640955993974021, score=0.817681 -   1.5s
[CV] c1=0.5058652550216721, c2=0.05057516676404338 ...................
[CV]  c1=0.5058652550216721, c2=0.05057516676404338, score=0.784071 -   1.5s
[CV] c1=0.3217542694847277, c2=0.1300528158245829 ....................
[CV]  c1=0.3217542694847277, c2=0.1300528158245829, score=0.718760 -   1.4s
[CV] c1=0.23655961992459007, c2=0.010370246716633998 .................
[CV]  c1=0.23655961992459007, c2=0.010370246716633998, score=0.849633 -   1.3s
[CV] c1=0.33834904438021035, c2=0.11251305115841426 ..................
[CV]  c1=0.33834904438021035, c2=0.11251305115841426, score=0.789903 -   1.3s
[CV] c1=0.22208883290212528, c2=0.008582101767065106 .................
[CV]  c1=0.22208883290212528, c2=0.008582101767065106, score=0.877878 -   1.4s
[CV] c1=0.8276987706377584, c2=0.06266663894923681 ...................
[CV]  c1=0.8276987706377584, c2=0.06266663894923681, score=0.722026 -   1.3s
[CV] c1=0.04565431695975158, c2=0.02055467996162544 ..................
[CV]  c1=0.04565431695975158, c2=0.02055467996162544, score=0.843878 -   1.3s
[CV] c1=0.36477856865237207, c2=0.06185949822718955 ..................
[CV]  c1=0.36477856865237207, c2=0.06185949822718955, score=0.754814 -   1.4s
[CV] c1=0.13394073075767624, c2=0.012689668908600736 .................
[CV]  c1=0.13394073075767624, c2=0.012689668908600736, score=0.824790 -   1.4s
[CV] c1=0.6645999872207827, c2=0.022775885178737017 ..................
[CV]  c1=0.6645999872207827, c2=0.022775885178737017, score=0.706636 -   1.6s
[CV] c1=0.044596088155027976, c2=0.03116922541562497 .................
[CV]  c1=0.044596088155027976, c2=0.03116922541562497, score=0.815907 -   1.4s
[CV] c1=0.31093729974688883, c2=0.04403368275078524 ..................
[CV]  c1=0.31093729974688883, c2=0.04403368275078524, score=0.838514 -   1.3s
[CV] c1=0.3442911505889313, c2=0.007159857838116935 ..................
[CV]  c1=0.3442911505889313, c2=0.007159857838116935, score=0.779671 -   1.5s
[CV] c1=0.07521152217430603, c2=0.016055857761926993 .................
[CV]  c1=0.07521152217430603, c2=0.016055857761926993, score=0.856192 -   1.4s
[CV] c1=0.4082572462462068, c2=0.0020269999414507106 .................
[CV]  c1=0.4082572462462068, c2=0.0020269999414507106, score=0.829973 -   1.3s
[CV] c1=0.101574575425866, c2=0.11780344542080066 ....................
[CV]  c1=0.101574575425866, c2=0.11780344542080066, score=0.789617 -   1.4s
[CV] c1=0.1670745092834933, c2=0.04818867864766707 ...................
[CV]  c1=0.1670745092834933, c2=0.04818867864766707, score=0.797996 -   1.1s
[CV] c1=0.8276987706377584, c2=0.06266663894923681 ...................
[CV]  c1=0.8276987706377584, c2=0.06266663894923681, score=0.736652 -   1.4s
[CV] c1=0.3260217631154064, c2=0.05043317647601665 ...................
[CV]  c1=0.3260217631154064, c2=0.05043317647601665, score=0.865444 -   1.5s
[CV] c1=0.8785464702660148, c2=0.08190289352901006 ...................
[CV]  c1=0.8785464702660148, c2=0.08190289352901006, score=0.724714 -   1.4s
[CV] c1=0.030579467452088744, c2=0.11526330436904486 .................
[CV]  c1=0.030579467452088744, c2=0.11526330436904486, score=0.770451 -   1.1s
[CV] c1=0.0920803550562826, c2=0.009799603119119153 ..................
[CV]  c1=0.0920803550562826, c2=0.009799603119119153, score=0.869942 -   1.4s
[CV] c1=1.393295095737776, c2=0.022683131232319992 ...................
[CV]  c1=1.393295095737776, c2=0.022683131232319992, score=0.636344 -   1.5s
[CV] c1=0.31093729974688883, c2=0.04403368275078524 ..................
[CV]  c1=0.31093729974688883, c2=0.04403368275078524, score=0.763323 -   1.3s
[CV] c1=0.26513191013104087, c2=0.005401022193488448 .................
[CV]  c1=0.26513191013104087, c2=0.005401022193488448, score=0.795014 -   1.4s
[CV] c1=0.3217542694847277, c2=0.1300528158245829 ....................
[CV]  c1=0.3217542694847277, c2=0.1300528158245829, score=0.854566 -   1.5s
[CV] c1=0.4082572462462068, c2=0.0020269999414507106 .................
[CV]  c1=0.4082572462462068, c2=0.0020269999414507106, score=0.775741 -   1.1s
[CV] c1=0.33834904438021035, c2=0.11251305115841426 ..................
[CV]  c1=0.33834904438021035, c2=0.11251305115841426, score=0.855956 -   1.4s
[CV] c1=0.22208883290212528, c2=0.008582101767065106 .................
[CV]  c1=0.22208883290212528, c2=0.008582101767065106, score=0.793512 -   1.5s
[CV] c1=0.6004358492803636, c2=0.050441256646076876 ..................
[CV]  c1=0.6004358492803636, c2=0.050441256646076876, score=0.852710 -   1.4s
[CV] c1=0.3260217631154064, c2=0.05043317647601665 ...................
[CV]  c1=0.3260217631154064, c2=0.05043317647601665, score=0.749117 -   1.5s
[CV] c1=0.8785464702660148, c2=0.08190289352901006 ...................
[CV]  c1=0.8785464702660148, c2=0.08190289352901006, score=0.788714 -   1.3s
[CV] c1=0.8654887939598437, c2=0.0024302543049607808 .................
[CV]  c1=0.8654887939598437, c2=0.0024302543049607808, score=0.803381 -   1.4s
[CV] c1=0.0920803550562826, c2=0.009799603119119153 ..................
[CV]  c1=0.0920803550562826, c2=0.009799603119119153, score=0.826621 -   1.4s
[CV] c1=0.044596088155027976, c2=0.03116922541562497 .................
[CV]  c1=0.044596088155027976, c2=0.03116922541562497, score=0.851285 -   1.4s
[CV] c1=0.13080444661488075, c2=0.0322849173610305 ...................
[CV]  c1=0.13080444661488075, c2=0.0322849173610305, score=0.879836 -   1.3s
[CV] c1=0.26513191013104087, c2=0.005401022193488448 .................
[CV]  c1=0.26513191013104087, c2=0.005401022193488448, score=0.851471 -   1.3s
[CV] c1=0.048087781570512675, c2=0.01942514230412066 .................
[CV]  c1=0.048087781570512675, c2=0.01942514230412066, score=0.757546 -   1.1s
[CV] c1=2.585301185910826, c2=0.06379580231409236 ....................
[CV]  c1=2.585301185910826, c2=0.06379580231409236, score=0.744669 -   1.4s
[CV] c1=0.34706700778218946, c2=0.009103842439542499 .................
[CV]  c1=0.34706700778218946, c2=0.009103842439542499, score=0.774636 -   1.4s
[CV] c1=0.07242390732381886, c2=0.003298505728595507 .................
[CV]  c1=0.07242390732381886, c2=0.003298505728595507, score=0.793333 -   1.1s
[CV] c1=0.025874137482164515, c2=0.022178281747250405 ................
[CV]  c1=0.025874137482164515, c2=0.022178281747250405, score=0.851430 -   1.3s
[CV] c1=0.13541893505771013, c2=0.06264550788944567 ..................
[CV]  c1=0.13541893505771013, c2=0.06264550788944567, score=0.767936 -   1.1s
[CV] c1=1.0608243007721738, c2=0.1420975777438857 ....................
[CV]  c1=1.0608243007721738, c2=0.1420975777438857, score=0.596220 -   1.4s
[CV] c1=0.12410572762360897, c2=0.02530191576921517 ..................
[CV]  c1=0.12410572762360897, c2=0.02530191576921517, score=0.762066 -   1.1s
[CV] c1=0.1406050866337685, c2=0.01800414686506951 ...................
[CV]  c1=0.1406050866337685, c2=0.01800414686506951, score=0.872183 -   1.4s
[CV] c1=0.372800234022962, c2=0.016164522975633873 ...................
[CV]  c1=0.372800234022962, c2=0.016164522975633873, score=0.882269 -   1.4s
[CV] c1=0.3517644085375878, c2=0.023185917472081638 ..................
[CV]  c1=0.3517644085375878, c2=0.023185917472081638, score=0.779123 -   1.1s
[CV] c1=0.31093729974688883, c2=0.04403368275078524 ..................
[CV]  c1=0.31093729974688883, c2=0.04403368275078524, score=0.812922 -   1.3s
[CV] c1=0.3365387632299885, c2=0.0037762467291334078 .................
[CV]  c1=0.3365387632299885, c2=0.0037762467291334078, score=0.834078 -   1.4s
[CV] c1=0.13752629115444953, c2=0.09771768841194627 ..................
[CV]  c1=0.13752629115444953, c2=0.09771768841194627, score=0.766720 -   1.1s
[CV] c1=0.1439031286658284, c2=0.05954160376125422 ...................
[CV]  c1=0.1439031286658284, c2=0.05954160376125422, score=0.814275 -   1.3s
[CV] c1=0.3227141763036921, c2=0.026981722982447012 ..................
[CV]  c1=0.3227141763036921, c2=0.026981722982447012, score=0.775078 -   1.2s
[CV] c1=0.17413410682469588, c2=0.03358848016564158 ..................
[CV]  c1=0.17413410682469588, c2=0.03358848016564158, score=0.789163 -   1.3s
[CV] c1=0.43864310353207825, c2=0.002721159590296125 .................
[CV]  c1=0.43864310353207825, c2=0.002721159590296125, score=0.872758 -   1.4s
[CV] c1=0.02253735542494653, c2=0.05667748731917169 ..................
[CV]  c1=0.02253735542494653, c2=0.05667748731917169, score=0.824508 -   1.4s
[CV] c1=1.0608243007721738, c2=0.1420975777438857 ....................
[CV]  c1=1.0608243007721738, c2=0.1420975777438857, score=0.633237 -   1.3s
[CV] c1=0.5923685760287746, c2=0.07440160993832338 ...................
[CV]  c1=0.5923685760287746, c2=0.07440160993832338, score=0.726729 -   1.1s
[CV] c1=0.030579467452088744, c2=0.11526330436904486 .................
[CV]  c1=0.030579467452088744, c2=0.11526330436904486, score=0.810556 -   1.4s
[CV] c1=0.05046264535473933, c2=0.07861324729904134 ..................
[CV]  c1=0.05046264535473933, c2=0.07861324729904134, score=0.786900 -   1.5s
[CV] c1=0.3517644085375878, c2=0.023185917472081638 ..................
[CV]  c1=0.3517644085375878, c2=0.023185917472081638, score=0.887422 -   1.4s
[CV] c1=0.1533329592529163, c2=0.021414702794110195 ..................
[CV]  c1=0.1533329592529163, c2=0.021414702794110195, score=0.887363 -   1.1s
[CV] c1=0.5058652550216721, c2=0.05057516676404338 ...................
[CV]  c1=0.5058652550216721, c2=0.05057516676404338, score=0.720712 -   1.5s
[CV] c1=0.048087781570512675, c2=0.01942514230412066 .................
[CV]  c1=0.048087781570512675, c2=0.01942514230412066, score=0.807738 -   1.4s
[CV] c1=0.23655961992459007, c2=0.010370246716633998 .................
[CV]  c1=0.23655961992459007, c2=0.010370246716633998, score=0.885139 -   1.4s
[CV] c1=0.33834904438021035, c2=0.11251305115841426 ..................
[CV]  c1=0.33834904438021035, c2=0.11251305115841426, score=0.736234 -   1.1s
[CV] c1=0.36303235634499537, c2=0.027189505873539233 .................
[CV]  c1=0.36303235634499537, c2=0.027189505873539233, score=0.758810 -   1.8s
[CV] c1=0.6004358492803636, c2=0.050441256646076876 ..................
[CV]  c1=0.6004358492803636, c2=0.050441256646076876, score=0.791352 -   1.3s
[CV] c1=0.3260217631154064, c2=0.05043317647601665 ...................
[CV]  c1=0.3260217631154064, c2=0.05043317647601665, score=0.810736 -   1.4s
[CV] c1=0.8785464702660148, c2=0.08190289352901006 ...................
[CV]  c1=0.8785464702660148, c2=0.08190289352901006, score=0.666882 -   1.4s
[CV] c1=0.8654887939598437, c2=0.0024302543049607808 .................
[CV]  c1=0.8654887939598437, c2=0.0024302543049607808, score=0.732715 -   1.4s
[CV] c1=0.05046264535473933, c2=0.07861324729904134 ..................
[CV]  c1=0.05046264535473933, c2=0.07861324729904134, score=0.878032 -   1.4s
[CV] c1=0.5922492414302022, c2=0.0353372928940678 ....................
[CV]  c1=0.5922492414302022, c2=0.0353372928940678, score=0.858967 -   1.4s
[CV] c1=0.13080444661488075, c2=0.0322849173610305 ...................
[CV]  c1=0.13080444661488075, c2=0.0322849173610305, score=0.803065 -   1.2s
[CV] c1=0.3365387632299885, c2=0.0037762467291334078 .................
[CV]  c1=0.3365387632299885, c2=0.0037762467291334078, score=0.885373 -   1.3s
[CV] c1=0.0945287290444195, c2=0.07756594179677656 ...................
[CV]  c1=0.0945287290444195, c2=0.07756594179677656, score=0.877416 -   1.4s
[CV] c1=0.17792573028248407, c2=0.003370296402499821 .................
[CV]  c1=0.17792573028248407, c2=0.003370296402499821, score=0.794691 -   1.4s
[CV] c1=0.34706700778218946, c2=0.009103842439542499 .................
[CV]  c1=0.34706700778218946, c2=0.009103842439542499, score=0.894289 -   1.3s
[CV] c1=0.36303235634499537, c2=0.027189505873539233 .................
[CV]  c1=0.36303235634499537, c2=0.027189505873539233, score=0.787989 -   1.1s
[CV] c1=0.20743225348509595, c2=0.03447558641674672 ..................
[CV]  c1=0.20743225348509595, c2=0.03447558641674672, score=0.848916 -   1.4s
[CV] c1=1.279783282177121, c2=0.0028442788288997323 ..................
[CV]  c1=1.279783282177121, c2=0.0028442788288997323, score=0.635583 -   1.6s
[CV] c1=0.40477209464094677, c2=0.0006907148608235766 ................
[CV]  c1=0.40477209464094677, c2=0.0006907148608235766, score=0.783863 -   1.2s
[CV] c1=0.046049324715961445, c2=0.03857656713719032 .................
[CV]  c1=0.046049324715961445, c2=0.03857656713719032, score=0.884244 -   1.4s
[CV] c1=0.1420277058209718, c2=0.093049921679806 .....................
[CV]  c1=0.1420277058209718, c2=0.093049921679806, score=0.783545 -   1.5s
[CV] c1=0.8360963935929809, c2=0.02585044637093093 ...................
[CV]  c1=0.8360963935929809, c2=0.02585044637093093, score=0.794375 -   1.3s
[CV] c1=0.1570622808632011, c2=0.009846129661283062 ..................
[CV]  c1=0.1570622808632011, c2=0.009846129661283062, score=0.782337 -   1.1s
[CV] c1=0.3805447123563361, c2=0.19336923860157643 ...................
[CV]  c1=0.3805447123563361, c2=0.19336923860157643, score=0.850719 -   1.0s
[CV] c1=0.148335168017072, c2=0.0009587116948310156 ..................
[CV]  c1=0.148335168017072, c2=0.0009587116948310156, score=0.787555 -   1.3s
[CV] c1=0.15894071641627716, c2=0.055328600121847454 .................
[CV]  c1=0.15894071641627716, c2=0.055328600121847454, score=0.845035 -   1.3s
[CV] c1=0.17792573028248407, c2=0.003370296402499821 .................
[CV]  c1=0.17792573028248407, c2=0.003370296402499821, score=0.871877 -   1.3s
[CV] c1=0.32848760328844673, c2=0.009612874474217112 .................
[CV]  c1=0.32848760328844673, c2=0.009612874474217112, score=0.776662 -   1.1s
[CV] c1=0.17413410682469588, c2=0.03358848016564158 ..................
[CV]  c1=0.17413410682469588, c2=0.03358848016564158, score=0.839744 -   1.3s
[CV] c1=0.43864310353207825, c2=0.002721159590296125 .................
[CV]  c1=0.43864310353207825, c2=0.002721159590296125, score=0.776446 -   1.4s
[CV] c1=0.02253735542494653, c2=0.05667748731917169 ..................
[CV]  c1=0.02253735542494653, c2=0.05667748731917169, score=0.829084 -   1.4s
[CV] c1=0.3112421896877116, c2=0.03261860702625779 ...................
[CV]  c1=0.3112421896877116, c2=0.03261860702625779, score=0.786127 -   1.2s
[CV] c1=1.0414830471393919, c2=0.06329279875569452 ...................
[CV]  c1=1.0414830471393919, c2=0.06329279875569452, score=0.633936 -   1.5s
[CV] c1=0.1406050866337685, c2=0.01800414686506951 ...................
[CV]  c1=0.1406050866337685, c2=0.01800414686506951, score=0.780234 -   1.4s
[CV] c1=0.372800234022962, c2=0.016164522975633873 ...................
[CV]  c1=0.372800234022962, c2=0.016164522975633873, score=0.828737 -   1.5s
[CV] c1=0.3651942504004118, c2=0.05098790436403625 ...................
[CV]  c1=0.3651942504004118, c2=0.05098790436403625, score=0.781292 -   1.2s
[CV] c1=0.1533329592529163, c2=0.021414702794110195 ..................
[CV]  c1=0.1533329592529163, c2=0.021414702794110195, score=0.848916 -   1.1s
[CV] c1=0.26513191013104087, c2=0.005401022193488448 .................
[CV]  c1=0.26513191013104087, c2=0.005401022193488448, score=0.814351 -   1.4s
[CV] c1=0.3217542694847277, c2=0.1300528158245829 ....................
[CV]  c1=0.3217542694847277, c2=0.1300528158245829, score=0.788742 -   1.3s
[CV] c1=0.23655961992459007, c2=0.010370246716633998 .................
[CV]  c1=0.23655961992459007, c2=0.010370246716633998, score=0.800972 -   1.4s
[CV] c1=0.33834904438021035, c2=0.11251305115841426 ..................
[CV]  c1=0.33834904438021035, c2=0.11251305115841426, score=0.771562 -   1.4s
[CV] c1=0.4448429215999174, c2=0.015412693416206796 ..................
[CV]  c1=0.4448429215999174, c2=0.015412693416206796, score=0.780182 -   1.2s
[CV] c1=0.2237685289205968, c2=0.024639842940767872 ..................
[CV]  c1=0.2237685289205968, c2=0.024639842940767872, score=0.794036 -   1.1s
[CV] c1=0.13541893505771013, c2=0.06264550788944567 ..................
[CV]  c1=0.13541893505771013, c2=0.06264550788944567, score=0.788962 -   1.4s
[CV] c1=0.40477209464094677, c2=0.0006907148608235766 ................
[CV]  c1=0.40477209464094677, c2=0.0006907148608235766, score=0.883944 -   1.4s
[CV] c1=0.12440204133051358, c2=0.033156948879010634 .................
[CV]  c1=0.12440204133051358, c2=0.033156948879010634, score=0.788850 -   1.1s
[CV] c1=0.1420277058209718, c2=0.093049921679806 .....................
[CV]  c1=0.1420277058209718, c2=0.093049921679806, score=0.815006 -   1.3s
[CV] c1=0.4956092115330641, c2=0.03494697166518628 ...................
[CV]  c1=0.4956092115330641, c2=0.03494697166518628, score=0.778847 -   1.3s
[CV] c1=0.3517644085375878, c2=0.023185917472081638 ..................
[CV]  c1=0.3517644085375878, c2=0.023185917472081638, score=0.814453 -   1.4s
[CV] c1=0.3805447123563361, c2=0.19336923860157643 ...................
[CV]  c1=0.3805447123563361, c2=0.19336923860157643, score=0.703376 -   1.0s
[CV] c1=0.38896195769134106, c2=0.09509652305654662 ..................
[CV]  c1=0.38896195769134106, c2=0.09509652305654662, score=0.864497 -   1.1s
[CV] c1=1.1132420764316155, c2=0.005226206562758296 ..................
[CV]  c1=1.1132420764316155, c2=0.005226206562758296, score=0.846438 -   1.4s
[CV] c1=0.08929972877445985, c2=0.003855278816301855 .................
[CV]  c1=0.08929972877445985, c2=0.003855278816301855, score=0.801928 -   1.2s
[CV] c1=1.932032019550692, c2=0.021240377256698778 ...................
[CV]  c1=1.932032019550692, c2=0.021240377256698778, score=0.725553 -   1.4s
[CV] c1=0.3720103248246766, c2=0.063578770562904 .....................
[CV]  c1=0.3720103248246766, c2=0.063578770562904, score=0.804837 -   1.3s
[CV] c1=0.1670745092834933, c2=0.04818867864766707 ...................
[CV]  c1=0.1670745092834933, c2=0.04818867864766707, score=0.781370 -   1.5s
[CV] c1=0.02253735542494653, c2=0.05667748731917169 ..................
[CV]  c1=0.02253735542494653, c2=0.05667748731917169, score=0.828638 -   1.4s
[CV] c1=1.0608243007721738, c2=0.1420975777438857 ....................
[CV]  c1=1.0608243007721738, c2=0.1420975777438857, score=0.737392 -   1.4s
[CV] c1=0.12410572762360897, c2=0.02530191576921517 ..................
[CV]  c1=0.12410572762360897, c2=0.02530191576921517, score=0.878618 -   1.4s
[CV] c1=0.1420277058209718, c2=0.093049921679806 .....................
[CV]  c1=0.1420277058209718, c2=0.093049921679806, score=0.769785 -   1.2s
[CV] c1=0.372800234022962, c2=0.016164522975633873 ...................
[CV]  c1=0.372800234022962, c2=0.016164522975633873, score=0.780052 -   1.2s
[CV] c1=0.5922492414302022, c2=0.0353372928940678 ....................
[CV]  c1=0.5922492414302022, c2=0.0353372928940678, score=0.714047 -   1.5s
[CV] c1=0.13080444661488075, c2=0.0322849173610305 ...................
[CV]  c1=0.13080444661488075, c2=0.0322849173610305, score=0.837089 -   1.3s
[CV] c1=0.3365387632299885, c2=0.0037762467291334078 .................
[CV]  c1=0.3365387632299885, c2=0.0037762467291334078, score=0.789984 -   1.0s
[CV] c1=1.1132420764316155, c2=0.005226206562758296 ..................
[CV]  c1=1.1132420764316155, c2=0.005226206562758296, score=0.661525 -   1.5s
[CV] c1=0.1439031286658284, c2=0.05954160376125422 ...................
[CV]  c1=0.1439031286658284, c2=0.05954160376125422, score=0.815006 -   1.3s
[CV] c1=0.3227141763036921, c2=0.026981722982447012 ..................
[CV]  c1=0.3227141763036921, c2=0.026981722982447012, score=0.818116 -   1.4s
[CV] c1=0.5468819187472043, c2=0.11583199006887249 ...................
[CV]  c1=0.5468819187472043, c2=0.11583199006887249, score=0.792009 -   1.4s
[CV] c1=0.025874137482164515, c2=0.022178281747250405 ................
[CV]  c1=0.025874137482164515, c2=0.022178281747250405, score=0.766227 -   1.1s
[CV] c1=1.279783282177121, c2=0.0028442788288997323 ..................
[CV]  c1=1.279783282177121, c2=0.0028442788288997323, score=0.812962 -   1.4s
[CV] c1=0.3112421896877116, c2=0.03261860702625779 ...................
[CV]  c1=0.3112421896877116, c2=0.03261860702625779, score=0.776520 -   1.4s
[CV] c1=0.12410572762360897, c2=0.02530191576921517 ..................
[CV]  c1=0.12410572762360897, c2=0.02530191576921517, score=0.774207 -   1.4s
[CV] c1=0.717937719279629, c2=0.052919144703032696 ...................
[CV]  c1=0.717937719279629, c2=0.052919144703032696, score=0.860836 -   1.4s
[CV] c1=0.8360963935929809, c2=0.02585044637093093 ...................
[CV]  c1=0.8360963935929809, c2=0.02585044637093093, score=0.856876 -   1.4s
[CV] c1=0.1570622808632011, c2=0.009846129661283062 ..................
[CV]  c1=0.1570622808632011, c2=0.009846129661283062, score=0.882689 -   1.3s
[CV] c1=0.3805447123563361, c2=0.19336923860157643 ...................
[CV]  c1=0.3805447123563361, c2=0.19336923860157643, score=0.781295 -   0.9s
[CV] c1=0.148335168017072, c2=0.0009587116948310156 ..................
[CV]  c1=0.148335168017072, c2=0.0009587116948310156, score=0.843829 -   1.3s
[CV] c1=0.15894071641627716, c2=0.055328600121847454 .................
[CV]  c1=0.15894071641627716, c2=0.055328600121847454, score=0.784412 -   1.4s
[CV] c1=0.17792573028248407, c2=0.003370296402499821 .................
[CV]  c1=0.17792573028248407, c2=0.003370296402499821, score=0.822401 -   1.4s
[CV] c1=0.34706700778218946, c2=0.009103842439542499 .................
[CV]  c1=0.34706700778218946, c2=0.009103842439542499, score=0.776002 -   1.2s
[CV] c1=0.29538990434689205, c2=0.05799580376049889 ..................
[CV]  c1=0.29538990434689205, c2=0.05799580376049889, score=0.872227 -   1.4s
[CV] c1=0.025874137482164515, c2=0.022178281747250405 ................
[CV]  c1=0.025874137482164515, c2=0.022178281747250405, score=0.887140 -   1.4s
[CV] c1=0.13541893505771013, c2=0.06264550788944567 ..................
[CV]  c1=0.13541893505771013, c2=0.06264550788944567, score=0.848916 -   1.4s
[CV] c1=0.5543800295879119, c2=0.04965712713751338 ...................
[CV]  c1=0.5543800295879119, c2=0.04965712713751338, score=0.805931 -   1.3s
[CV] c1=0.046049324715961445, c2=0.03857656713719032 .................
[CV]  c1=0.046049324715961445, c2=0.03857656713719032, score=0.784289 -   1.1s
[CV] c1=0.1406050866337685, c2=0.01800414686506951 ...................
[CV]  c1=0.1406050866337685, c2=0.01800414686506951, score=0.817859 -   1.5s
[CV] c1=0.4956092115330641, c2=0.03494697166518628 ...................
[CV]  c1=0.4956092115330641, c2=0.03494697166518628, score=0.718783 -   1.6s
[CV] c1=0.1570622808632011, c2=0.009846129661283062 ..................
[CV]  c1=0.1570622808632011, c2=0.009846129661283062, score=0.854942 -   1.3s
[CV] c1=0.8120019509596383, c2=0.016381682809675883 ..................
[CV]  c1=0.8120019509596383, c2=0.016381682809675883, score=0.729042 -   0.8s
[CV] c1=0.26513191013104087, c2=0.005401022193488448 .................
[CV]  c1=0.26513191013104087, c2=0.005401022193488448, score=0.786043 -   1.1s
[CV] c1=0.0945287290444195, c2=0.07756594179677656 ...................
[CV]  c1=0.0945287290444195, c2=0.07756594179677656, score=0.781958 -   1.1s
[CV] c1=0.08929972877445985, c2=0.003855278816301855 .................
[CV]  c1=0.08929972877445985, c2=0.003855278816301855, score=0.801029 -   1.4s
[CV] c1=0.3307344940733391, c2=0.121566047662798 .....................
[CV]  c1=0.3307344940733391, c2=0.121566047662798, score=0.730457 -   1.5s
[CV] c1=0.5468819187472043, c2=0.11583199006887249 ...................
[CV]  c1=0.5468819187472043, c2=0.11583199006887249, score=0.856234 -   1.3s
[CV] c1=0.20743225348509595, c2=0.03447558641674672 ..................
[CV]  c1=0.20743225348509595, c2=0.03447558641674672, score=0.883687 -   1.4s
[CV] c1=1.279783282177121, c2=0.0028442788288997323 ..................
[CV]  c1=1.279783282177121, c2=0.0028442788288997323, score=0.609811 -   1.2s
[CV] c1=1.0608243007721738, c2=0.1420975777438857 ....................
[CV]  c1=1.0608243007721738, c2=0.1420975777438857, score=0.642612 -   1.1s
[CV] c1=1.0414830471393919, c2=0.06329279875569452 ...................
[CV]  c1=1.0414830471393919, c2=0.06329279875569452, score=0.655561 -   1.4s
[CV] c1=0.030579467452088744, c2=0.11526330436904486 .................
[CV]  c1=0.030579467452088744, c2=0.11526330436904486, score=0.825500 -   1.5s
[CV] c1=0.372800234022962, c2=0.016164522975633873 ...................
[CV]  c1=0.372800234022962, c2=0.016164522975633873, score=0.766348 -   1.4s
[CV] c1=0.3517644085375878, c2=0.023185917472081638 ..................
[CV]  c1=0.3517644085375878, c2=0.023185917472081638, score=0.845091 -   1.3s
[CV] c1=0.1533329592529163, c2=0.021414702794110195 ..................
[CV]  c1=0.1533329592529163, c2=0.021414702794110195, score=0.803065 -   1.2s
[CV] c1=1.265144911483882, c2=0.010142390720616103 ...................
[CV]  c1=1.265144911483882, c2=0.010142390720616103, score=0.823067 -   1.4s
[CV] c1=0.3217542694847277, c2=0.1300528158245829 ....................
[CV]  c1=0.3217542694847277, c2=0.1300528158245829, score=0.754790 -   1.4s
[CV] c1=0.4082572462462068, c2=0.0020269999414507106 .................
[CV]  c1=0.4082572462462068, c2=0.0020269999414507106, score=0.871364 -   1.4s
[CV] c1=0.101574575425866, c2=0.11780344542080066 ....................
[CV]  c1=0.101574575425866, c2=0.11780344542080066, score=0.777625 -   1.1s
[CV] c1=0.22208883290212528, c2=0.008582101767065106 .................
[CV]  c1=0.22208883290212528, c2=0.008582101767065106, score=0.774646 -   1.1s
[CV] c1=0.1803644656651357, c2=0.07393140287303777 ...................
[CV]  c1=0.1803644656651357, c2=0.07393140287303777, score=0.815006 -   1.3s
[CV] c1=0.6022331033590007, c2=0.03314983908599913 ...................
[CV]  c1=0.6022331033590007, c2=0.03314983908599913, score=0.855276 -   1.3s
[CV] c1=0.5543800295879119, c2=0.04965712713751338 ...................
[CV]  c1=0.5543800295879119, c2=0.04965712713751338, score=0.815205 -   1.4s
[CV] c1=0.12440204133051358, c2=0.033156948879010634 .................
[CV]  c1=0.12440204133051358, c2=0.033156948879010634, score=0.807446 -   1.4s
[CV] c1=0.3174918831210764, c2=0.11107203473212333 ...................
[CV]  c1=0.3174918831210764, c2=0.11107203473212333, score=0.859542 -   1.3s
[CV] c1=0.3524906735375882, c2=0.002621036184700963 ..................
[CV]  c1=0.3524906735375882, c2=0.002621036184700963, score=0.896003 -   1.4s
[CV] c1=0.3367292921113137, c2=0.004627559518481059 ..................
[CV]  c1=0.3367292921113137, c2=0.004627559518481059, score=0.783458 -   1.2s
[CV] c1=0.8120019509596383, c2=0.016381682809675883 ..................
[CV]  c1=0.8120019509596383, c2=0.016381682809675883, score=0.858593 -   0.9s
[CV] c1=0.26513191013104087, c2=0.005401022193488448 .................
[CV]  c1=0.26513191013104087, c2=0.005401022193488448, score=0.883687 -   1.4s
[CV] c1=0.048087781570512675, c2=0.01942514230412066 .................
[CV]  c1=0.048087781570512675, c2=0.01942514230412066, score=0.884948 -   1.4s
[CV] c1=0.16606910735907077, c2=0.006205099568917824 .................
[CV]  c1=0.16606910735907077, c2=0.006205099568917824, score=0.805156 -   1.4s
[CV] c1=0.9201152338748854, c2=0.05604906080858643 ...................
[CV]  c1=0.9201152338748854, c2=0.05604906080858643, score=0.660388 -   1.3s
[CV] c1=0.07242390732381886, c2=0.003298505728595507 .................
[CV]  c1=0.07242390732381886, c2=0.003298505728595507, score=0.804813 -   1.4s
[CV] c1=0.2237685289205968, c2=0.024639842940767872 ..................
[CV]  c1=0.2237685289205968, c2=0.024639842940767872, score=0.890948 -   1.4s
[CV] c1=0.04565431695975158, c2=0.02055467996162544 ..................
[CV]  c1=0.04565431695975158, c2=0.02055467996162544, score=0.761590 -   1.1s
[CV] c1=0.5543800295879119, c2=0.04965712713751338 ...................
[CV]  c1=0.5543800295879119, c2=0.04965712713751338, score=0.772898 -   1.2s
[CV] c1=0.5923685760287746, c2=0.07440160993832338 ...................
[CV]  c1=0.5923685760287746, c2=0.07440160993832338, score=0.801534 -   1.3s
[CV] c1=0.1406050866337685, c2=0.01800414686506951 ...................
[CV]  c1=0.1406050866337685, c2=0.01800414686506951, score=0.843878 -   1.3s
[CV] c1=0.372800234022962, c2=0.016164522975633873 ...................
[CV]  c1=0.372800234022962, c2=0.016164522975633873, score=0.834227 -   1.4s
[CV] c1=0.3517644085375878, c2=0.023185917472081638 ..................
[CV]  c1=0.3517644085375878, c2=0.023185917472081638, score=0.759548 -   1.4s
[CV] c1=0.1533329592529163, c2=0.021414702794110195 ..................
[CV]  c1=0.1533329592529163, c2=0.021414702794110195, score=0.792915 -   1.1s
[CV] c1=0.17749173393210785, c2=0.003875489469007485 .................
[CV]  c1=0.17749173393210785, c2=0.003875489469007485, score=0.787303 -   1.1s
[CV] c1=0.11423128397075168, c2=0.010944275308609431 .................
[CV]  c1=0.11423128397075168, c2=0.010944275308609431, score=0.805126 -   1.4s
[CV] c1=0.08929972877445985, c2=0.003855278816301855 .................
[CV]  c1=0.08929972877445985, c2=0.003855278816301855, score=0.776864 -   1.5s
[CV] c1=0.32848760328844673, c2=0.009612874474217112 .................
[CV]  c1=0.32848760328844673, c2=0.009612874474217112, score=0.886191 -   1.4s
[CV] c1=0.29538990434689205, c2=0.05799580376049889 ..................
[CV]  c1=0.29538990434689205, c2=0.05799580376049889, score=0.766614 -   1.5s
[CV] c1=0.1803644656651357, c2=0.07393140287303777 ...................
[CV]  c1=0.1803644656651357, c2=0.07393140287303777, score=0.765457 -   1.1s
[CV] c1=1.279783282177121, c2=0.0028442788288997323 ..................
[CV]  c1=1.279783282177121, c2=0.0028442788288997323, score=0.787626 -   1.4s
[CV] c1=0.3112421896877116, c2=0.03261860702625779 ...................
[CV]  c1=0.3112421896877116, c2=0.03261860702625779, score=0.807562 -   1.5s
[CV] c1=0.046049324715961445, c2=0.03857656713719032 .................
[CV]  c1=0.046049324715961445, c2=0.03857656713719032, score=0.845035 -   1.4s
[CV] c1=0.717937719279629, c2=0.052919144703032696 ...................
[CV]  c1=0.717937719279629, c2=0.052919144703032696, score=0.778448 -   1.3s
[CV] c1=0.8360963935929809, c2=0.02585044637093093 ...................
[CV]  c1=0.8360963935929809, c2=0.02585044637093093, score=0.691948 -   1.4s
[CV] c1=0.3367292921113137, c2=0.004627559518481059 ..................
[CV]  c1=0.3367292921113137, c2=0.004627559518481059, score=0.888701 -   1.4s
[CV] c1=0.8120019509596383, c2=0.016381682809675883 ..................
[CV]  c1=0.8120019509596383, c2=0.016381682809675883, score=0.805761 -   0.8s
[CV] c1=0.148335168017072, c2=0.0009587116948310156 ..................
[CV]  c1=0.148335168017072, c2=0.0009587116948310156, score=0.824599 -   1.3s
[CV] c1=0.0945287290444195, c2=0.07756594179677656 ...................
[CV]  c1=0.0945287290444195, c2=0.07756594179677656, score=0.780726 -   1.4s
[CV] c1=2.585301185910826, c2=0.06379580231409236 ....................
[CV]  c1=2.585301185910826, c2=0.06379580231409236, score=0.575773 -   1.1s
[CV] c1=0.3227141763036921, c2=0.026981722982447012 ..................
[CV]  c1=0.3227141763036921, c2=0.026981722982447012, score=0.845039 -   1.5s
[CV] c1=0.29538990434689205, c2=0.05799580376049889 ..................
[CV]  c1=0.29538990434689205, c2=0.05799580376049889, score=0.776386 -   1.1s
[CV] c1=0.43864310353207825, c2=0.002721159590296125 .................
[CV]  c1=0.43864310353207825, c2=0.002721159590296125, score=0.819906 -   1.5s
[CV] c1=1.279783282177121, c2=0.0028442788288997323 ..................
[CV]  c1=1.279783282177121, c2=0.0028442788288997323, score=0.651793 -   1.4s
[CV] c1=0.5543800295879119, c2=0.04965712713751338 ...................
[CV]  c1=0.5543800295879119, c2=0.04965712713751338, score=0.844061 -   1.4s
[CV] c1=0.046049324715961445, c2=0.03857656713719032 .................
[CV]  c1=0.046049324715961445, c2=0.03857656713719032, score=0.821223 -   1.3s
[CV] c1=0.717937719279629, c2=0.052919144703032696 ...................
[CV]  c1=0.717937719279629, c2=0.052919144703032696, score=0.696376 -   1.5s
[CV] c1=0.3524906735375882, c2=0.002621036184700963 ..................
[CV]  c1=0.3524906735375882, c2=0.002621036184700963, score=0.777606 -   1.1s
[CV] c1=0.3651942504004118, c2=0.05098790436403625 ...................
[CV]  c1=0.3651942504004118, c2=0.05098790436403625, score=0.837576 -   1.3s
[CV] c1=0.3805447123563361, c2=0.19336923860157643 ...................
[CV]  c1=0.3805447123563361, c2=0.19336923860157643, score=0.689843 -   1.1s
[CV] c1=1.265144911483882, c2=0.010142390720616103 ...................
[CV]  c1=1.265144911483882, c2=0.010142390720616103, score=0.792917 -   1.4s
[CV] c1=0.07521152217430603, c2=0.016055857761926993 .................
[CV]  c1=0.07521152217430603, c2=0.016055857761926993, score=0.804123 -   1.2s
[CV] c1=0.23655961992459007, c2=0.010370246716633998 .................
[CV]  c1=0.23655961992459007, c2=0.010370246716633998, score=0.799216 -   1.4s
[CV] c1=0.101574575425866, c2=0.11780344542080066 ....................
[CV]  c1=0.101574575425866, c2=0.11780344542080066, score=0.764577 -   1.4s
[CV] c1=0.1670745092834933, c2=0.04818867864766707 ...................
[CV]  c1=0.1670745092834933, c2=0.04818867864766707, score=0.878618 -   1.4s
[CV] c1=0.6004358492803636, c2=0.050441256646076876 ..................
[CV]  c1=0.6004358492803636, c2=0.050441256646076876, score=0.805873 -   1.5s
[CV] c1=0.5766109653125148, c2=0.0001826356728064186 .................
[CV]  c1=0.5766109653125148, c2=0.0001826356728064186, score=0.783631 -   1.2s
[CV] c1=0.8785464702660148, c2=0.08190289352901006 ...................
[CV]  c1=0.8785464702660148, c2=0.08190289352901006, score=0.714075 -   1.1s
[CV] c1=0.15825385512023937, c2=0.019299884825626962 .................
[CV]  c1=0.15825385512023937, c2=0.019299884825626962, score=0.865092 -   1.4s
[CV] c1=0.6645999872207827, c2=0.022775885178737017 ..................
[CV]  c1=0.6645999872207827, c2=0.022775885178737017, score=0.772743 -   1.2s
[CV] c1=0.21633895366518788, c2=0.024016677855493305 .................
[CV]  c1=0.21633895366518788, c2=0.024016677855493305, score=0.757715 -   1.1s
[CV] c1=0.1570622808632011, c2=0.009846129661283062 ..................
[CV]  c1=0.1570622808632011, c2=0.009846129661283062, score=0.797345 -   1.4s
[CV] c1=0.8120019509596383, c2=0.016381682809675883 ..................
[CV]  c1=0.8120019509596383, c2=0.016381682809675883, score=0.687869 -   1.1s
[CV] c1=0.3442911505889313, c2=0.007159857838116935 ..................
[CV]  c1=0.3442911505889313, c2=0.007159857838116935, score=0.781999 -   1.1s
[CV] c1=0.13752629115444953, c2=0.09771768841194627 ..................
[CV]  c1=0.13752629115444953, c2=0.09771768841194627, score=0.868171 -   1.3s
[CV] c1=0.17792573028248407, c2=0.003370296402499821 .................
[CV]  c1=0.17792573028248407, c2=0.003370296402499821, score=0.848074 -   1.3s
[CV] c1=0.32848760328844673, c2=0.009612874474217112 .................
[CV]  c1=0.32848760328844673, c2=0.009612874474217112, score=0.782197 -   1.4s
[CV] c1=0.36303235634499537, c2=0.027189505873539233 .................
[CV]  c1=0.36303235634499537, c2=0.027189505873539233, score=0.877939 -   1.3s
[CV] c1=0.1803644656651357, c2=0.07393140287303777 ...................
[CV]  c1=0.1803644656651357, c2=0.07393140287303777, score=0.869572 -   1.4s
[CV] c1=0.6022331033590007, c2=0.03314983908599913 ...................
[CV]  c1=0.6022331033590007, c2=0.03314983908599913, score=0.735067 -   1.1s
[CV] c1=0.3112421896877116, c2=0.03261860702625779 ...................
[CV]  c1=0.3112421896877116, c2=0.03261860702625779, score=0.845039 -   1.3s
[CV] c1=0.12410572762360897, c2=0.02530191576921517 ..................
[CV]  c1=0.12410572762360897, c2=0.02530191576921517, score=0.847759 -   1.3s
[CV] c1=0.1420277058209718, c2=0.093049921679806 .....................
[CV]  c1=0.1420277058209718, c2=0.093049921679806, score=0.869572 -   1.4s
[CV] c1=0.4956092115330641, c2=0.03494697166518628 ...................
[CV]  c1=0.4956092115330641, c2=0.03494697166518628, score=0.868092 -   1.4s
[CV] c1=0.3651942504004118, c2=0.05098790436403625 ...................
[CV]  c1=0.3651942504004118, c2=0.05098790436403625, score=0.867384 -   1.5s
[CV] c1=0.3805447123563361, c2=0.19336923860157643 ...................
[CV]  c1=0.3805447123563361, c2=0.19336923860157643, score=0.772309 -   1.2s
Training done in: 19.437774s
     Saving training model...
        Saving training model done in: 0.014853s
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Prediction done in: 0.034441s