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

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Run7_v13.txt 67.1 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: Run7
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: TrueS4: False
Run variant: 13
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003761s
-------------------------------- 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        word        :
7     isUpper    False
8     isLower    False
9     isGreek    False
10   isNumber    False
11    -1:word       in
12    +1:word       M9
13   -2:lemma  culture
14  -2:postag      VBN
15   +2:lemma  minimal
16  +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
13   -2:lemma     affyexp
14  -2:postag          JJ
15   +2:lemma     glucose
16  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.20136168290784984, c2=0.01707135692826726 ..................
[CV]  c1=0.20136168290784984, c2=0.01707135692826726, score=0.816376 -   1.6s
[CV] c1=0.1377675329360087, c2=0.02010919657918883 ...................
[CV]  c1=0.1377675329360087, c2=0.02010919657918883, score=0.724383 -   1.2s
[CV] c1=0.8172898017174591, c2=0.015169236121596017 ..................
[CV]  c1=0.8172898017174591, c2=0.015169236121596017, score=0.800605 -   1.4s
[CV] c1=0.443266796574139, c2=0.04447171818324789 ....................
[CV]  c1=0.443266796574139, c2=0.04447171818324789, score=0.785015 -   1.6s
[CV] c1=0.43225660658705506, c2=0.03103903976703545 ..................
[CV]  c1=0.43225660658705506, c2=0.03103903976703545, score=0.711231 -   1.2s
[CV] c1=0.8891542733865763, c2=0.004122578077229335 ..................
[CV]  c1=0.8891542733865763, c2=0.004122578077229335, score=0.671257 -   1.6s
[CV] c1=0.12740920201773212, c2=0.005611386782353396 .................
[CV]  c1=0.12740920201773212, c2=0.005611386782353396, score=0.905292 -   1.6s
[CV] c1=0.36919440944986737, c2=0.02369399990372542 ..................
[CV]  c1=0.36919440944986737, c2=0.02369399990372542, score=0.717677 -   1.2s
[CV] c1=0.22343542810919081, c2=0.016721672142956376 .................
[CV]  c1=0.22343542810919081, c2=0.016721672142956376, score=0.805821 -   1.5s
[CV] c1=0.9096165494287827, c2=0.05621809272692149 ...................
[CV]  c1=0.9096165494287827, c2=0.05621809272692149, score=0.690203 -   1.6s
[CV] c1=0.4135876951266802, c2=0.019125813123840676 ..................
[CV]  c1=0.4135876951266802, c2=0.019125813123840676, score=0.705890 -   1.2s
[CV] c1=0.13804415096229325, c2=0.010103732636550027 .................
[CV]  c1=0.13804415096229325, c2=0.010103732636550027, score=0.905292 -   1.6s
[CV] c1=0.01207997700052386, c2=0.06849747419252904 ..................
[CV]  c1=0.01207997700052386, c2=0.06849747419252904, score=0.855135 -   1.5s
[CV] c1=0.9066402798738489, c2=0.08242172467842934 ...................
[CV]  c1=0.9066402798738489, c2=0.08242172467842934, score=0.690203 -   1.6s
[CV] c1=0.4487630851408066, c2=0.06529036634604948 ...................
[CV]  c1=0.4487630851408066, c2=0.06529036634604948, score=0.811949 -   1.5s
[CV] c1=0.03052511247198813, c2=0.03588573382199128 ..................
[CV]  c1=0.03052511247198813, c2=0.03588573382199128, score=0.792471 -   1.6s
[CV] c1=0.1985739387674887, c2=0.03676483503379336 ...................
[CV]  c1=0.1985739387674887, c2=0.03676483503379336, score=0.865502 -   1.5s
[CV] c1=0.6265902186806305, c2=0.04689743888670704 ...................
[CV]  c1=0.6265902186806305, c2=0.04689743888670704, score=0.819777 -   1.6s
[CV] c1=2.3496201464033124, c2=0.09360284743822549 ...................
[CV]  c1=2.3496201464033124, c2=0.09360284743822549, score=0.496044 -   1.2s
[CV] c1=0.9854347456722025, c2=0.027014914714055063 ..................
[CV]  c1=0.9854347456722025, c2=0.027014914714055063, score=0.783467 -   1.5s
[CV] c1=0.3106928911113516, c2=0.03664489936219296 ...................
[CV]  c1=0.3106928911113516, c2=0.03664489936219296, score=0.732783 -   1.2s
[CV] c1=0.9258210985876806, c2=0.018099866884100726 ..................
[CV]  c1=0.9258210985876806, c2=0.018099866884100726, score=0.735281 -   1.6s
[CV] c1=0.023339315460496012, c2=0.004734839740830651 ................
[CV]  c1=0.023339315460496012, c2=0.004734839740830651, score=0.751158 -   1.2s
[CV] c1=0.053496665039527706, c2=0.06929919121402651 .................
[CV]  c1=0.053496665039527706, c2=0.06929919121402651, score=0.814672 -   1.6s
[CV] c1=0.20136168290784984, c2=0.01707135692826726 ..................
[CV]  c1=0.20136168290784984, c2=0.01707135692826726, score=0.904693 -   1.5s
[CV] c1=1.327995573275544, c2=0.14913016561142564 ....................
[CV]  c1=1.327995573275544, c2=0.14913016561142564, score=0.631586 -   1.5s
[CV] c1=0.8742187794350681, c2=0.02810101898833159 ...................
[CV]  c1=0.8742187794350681, c2=0.02810101898833159, score=0.700735 -   1.3s
[CV] c1=0.443266796574139, c2=0.04447171818324789 ....................
[CV]  c1=0.443266796574139, c2=0.04447171818324789, score=0.890262 -   1.5s
[CV] c1=0.1985739387674887, c2=0.03676483503379336 ...................
[CV]  c1=0.1985739387674887, c2=0.03676483503379336, score=0.900528 -   1.5s
[CV] c1=0.6265902186806305, c2=0.04689743888670704 ...................
[CV]  c1=0.6265902186806305, c2=0.04689743888670704, score=0.881835 -   1.5s
[CV] c1=0.12740920201773212, c2=0.005611386782353396 .................
[CV]  c1=0.12740920201773212, c2=0.005611386782353396, score=0.739022 -   1.2s
[CV] c1=0.8870236026279533, c2=0.040682957193126174 ..................
[CV]  c1=0.8870236026279533, c2=0.040682957193126174, score=0.733967 -   1.6s
[CV] c1=0.3106928911113516, c2=0.03664489936219296 ...................
[CV]  c1=0.3106928911113516, c2=0.03664489936219296, score=0.868329 -   1.5s
[CV] c1=0.4831916931283349, c2=0.019582416471927988 ..................
[CV]  c1=0.4831916931283349, c2=0.019582416471927988, score=0.710531 -   1.3s
[CV] c1=0.2081313365986057, c2=0.06515181351179325 ...................
[CV]  c1=0.2081313365986057, c2=0.06515181351179325, score=0.825629 -   1.5s
[CV] c1=0.053496665039527706, c2=0.06929919121402651 .................
[CV]  c1=0.053496665039527706, c2=0.06929919121402651, score=0.786948 -   1.6s
[CV] c1=0.1066556639093358, c2=0.12599413679620816 ...................
[CV]  c1=0.1066556639093358, c2=0.12599413679620816, score=0.798375 -   1.5s
[CV] c1=2.525014831542233, c2=0.03739446712079002 ....................
[CV]  c1=2.525014831542233, c2=0.03739446712079002, score=0.630204 -   1.5s
[CV] c1=0.432712516751307, c2=0.03197072481368856 ....................
[CV]  c1=0.432712516751307, c2=0.03197072481368856, score=0.842642 -   1.6s
[CV] c1=0.3754691777167258, c2=0.0580100464845158 ....................
[CV]  c1=0.3754691777167258, c2=0.0580100464845158, score=0.868329 -   1.5s
[CV] c1=0.2605392820404831, c2=0.016830125189053035 ..................
[CV]  c1=0.2605392820404831, c2=0.016830125189053035, score=0.807507 -   1.6s
[CV] c1=0.8891542733865763, c2=0.004122578077229335 ..................
[CV]  c1=0.8891542733865763, c2=0.004122578077229335, score=0.776959 -   1.6s
[CV] c1=0.12740920201773212, c2=0.005611386782353396 .................
[CV]  c1=0.12740920201773212, c2=0.005611386782353396, score=0.808937 -   1.6s
[CV] c1=3.2373262627649986, c2=0.009246455308213955 ..................
[CV]  c1=3.2373262627649986, c2=0.009246455308213955, score=0.688146 -   1.5s
[CV] c1=0.16569335261623822, c2=0.06451683078650973 ..................
[CV]  c1=0.16569335261623822, c2=0.06451683078650973, score=0.901125 -   1.6s
[CV] c1=0.4058770732591159, c2=0.04726052991468726 ...................
[CV]  c1=0.4058770732591159, c2=0.04726052991468726, score=0.713451 -   1.2s
[CV] c1=0.4135876951266802, c2=0.019125813123840676 ..................
[CV]  c1=0.4135876951266802, c2=0.019125813123840676, score=0.859037 -   1.6s
[CV] c1=0.02772807660588409, c2=0.07480824902901856 ..................
[CV]  c1=0.02772807660588409, c2=0.07480824902901856, score=0.726998 -   1.2s
[CV] c1=0.1066556639093358, c2=0.12599413679620816 ...................
[CV]  c1=0.1066556639093358, c2=0.12599413679620816, score=0.894012 -   1.6s
[CV] c1=0.9066402798738489, c2=0.08242172467842934 ...................
[CV]  c1=0.9066402798738489, c2=0.08242172467842934, score=0.673090 -   1.1s
[CV] c1=1.433947707051506, c2=0.07165805370843674 ....................
[CV]  c1=1.433947707051506, c2=0.07165805370843674, score=0.551373 -   1.2s
[CV] c1=0.3467805166762185, c2=0.06835956625682148 ...................
[CV]  c1=0.3467805166762185, c2=0.06835956625682148, score=0.734768 -   1.2s
[CV] c1=0.1565876025238168, c2=0.15004918816569196 ...................
[CV]  c1=0.1565876025238168, c2=0.15004918816569196, score=0.899920 -   1.6s
[CV] c1=0.22176791594217735, c2=0.10335658564637112 ..................
[CV]  c1=0.22176791594217735, c2=0.10335658564637112, score=0.908536 -   1.5s
[CV] c1=0.360700875305914, c2=0.009425386632129181 ...................
[CV]  c1=0.360700875305914, c2=0.009425386632129181, score=0.716820 -   1.2s
[CV] c1=0.12740920201773212, c2=0.005611386782353396 .................
[CV]  c1=0.12740920201773212, c2=0.005611386782353396, score=0.848918 -   1.6s
[CV] c1=3.2373262627649986, c2=0.009246455308213955 ..................
[CV]  c1=3.2373262627649986, c2=0.009246455308213955, score=0.430295 -   1.2s
[CV] c1=0.9114474850098595, c2=0.05751060038138406 ...................
[CV]  c1=0.9114474850098595, c2=0.05751060038138406, score=0.685659 -   1.2s
[CV] c1=0.9096165494287827, c2=0.05621809272692149 ...................
[CV]  c1=0.9096165494287827, c2=0.05621809272692149, score=0.800605 -   1.5s
[CV] c1=0.023339315460496012, c2=0.004734839740830651 ................
[CV]  c1=0.023339315460496012, c2=0.004734839740830651, score=0.801370 -   1.6s
[CV] c1=0.13804415096229325, c2=0.010103732636550027 .................
[CV]  c1=0.13804415096229325, c2=0.010103732636550027, score=0.819649 -   1.5s
[CV] c1=0.20136168290784984, c2=0.01707135692826726 ..................
[CV]  c1=0.20136168290784984, c2=0.01707135692826726, score=0.813673 -   1.5s
[CV] c1=1.327995573275544, c2=0.14913016561142564 ....................
[CV]  c1=1.327995573275544, c2=0.14913016561142564, score=0.570340 -   1.5s
[CV] c1=0.18659043677377224, c2=0.0032911510418574077 ................
[CV]  c1=0.18659043677377224, c2=0.0032911510418574077, score=0.905292 -   1.5s
[CV] c1=0.1565876025238168, c2=0.15004918816569196 ...................
[CV]  c1=0.1565876025238168, c2=0.15004918816569196, score=0.798375 -   1.6s
[CV] c1=0.22176791594217735, c2=0.10335658564637112 ..................
[CV]  c1=0.22176791594217735, c2=0.10335658564637112, score=0.822491 -   1.6s
[CV] c1=1.3474714863149746, c2=0.009118941876594155 ..................
[CV]  c1=1.3474714863149746, c2=0.009118941876594155, score=0.624222 -   1.1s
[CV] c1=2.3496201464033124, c2=0.09360284743822549 ...................
[CV]  c1=2.3496201464033124, c2=0.09360284743822549, score=0.553105 -   1.6s
[CV] c1=0.025310236459692523, c2=0.028562889200918314 ................
[CV]  c1=0.025310236459692523, c2=0.028562889200918314, score=0.837104 -   1.5s
[CV] c1=0.14124515264098939, c2=0.06671620400260313 ..................
[CV]  c1=0.14124515264098939, c2=0.06671620400260313, score=0.804729 -   1.5s
[CV] c1=1.2344654527961998, c2=0.03869882220443918 ...................
[CV]  c1=1.2344654527961998, c2=0.03869882220443918, score=0.624222 -   1.2s
[CV] c1=0.1671106465534526, c2=0.007242875073126415 ..................
[CV]  c1=0.1671106465534526, c2=0.007242875073126415, score=0.816376 -   1.6s
[CV] c1=0.3637323733965809, c2=0.05054085957646176 ...................
[CV]  c1=0.3637323733965809, c2=0.05054085957646176, score=0.730062 -   1.2s
[CV] c1=0.03884434507561417, c2=0.018362507494378563 .................
[CV]  c1=0.03884434507561417, c2=0.018362507494378563, score=0.877089 -   1.5s
[CV] c1=0.09265460395406977, c2=0.008393009557744226 .................
[CV]  c1=0.09265460395406977, c2=0.008393009557744226, score=0.866995 -   1.4s
[CV] c1=1.433947707051506, c2=0.07165805370843674 ....................
[CV]  c1=1.433947707051506, c2=0.07165805370843674, score=0.773422 -   1.4s
[CV] c1=0.5108835375187087, c2=0.005271616840262041 ..................
[CV]  c1=0.5108835375187087, c2=0.005271616840262041, score=0.775465 -   1.6s
[CV] c1=0.008873460074518176, c2=0.08893136576253033 .................
[CV]  c1=0.008873460074518176, c2=0.08893136576253033, score=0.778465 -   1.6s
[CV] c1=0.6341020806681441, c2=0.023113931033070516 ..................
[CV]  c1=0.6341020806681441, c2=0.023113931033070516, score=0.725277 -   1.6s
[CV] c1=1.794325177264246, c2=0.007607944418587822 ...................
[CV]  c1=1.794325177264246, c2=0.007607944418587822, score=0.793549 -   1.6s
[CV] c1=0.8870236026279533, c2=0.040682957193126174 ..................
[CV]  c1=0.8870236026279533, c2=0.040682957193126174, score=0.804904 -   1.5s
[CV] c1=0.22343542810919081, c2=0.016721672142956376 .................
[CV]  c1=0.22343542810919081, c2=0.016721672142956376, score=0.861990 -   1.5s
[CV] c1=0.4831916931283349, c2=0.019582416471927988 ..................
[CV]  c1=0.4831916931283349, c2=0.019582416471927988, score=0.889812 -   1.6s
[CV] c1=0.4135876951266802, c2=0.019125813123840676 ..................
[CV]  c1=0.4135876951266802, c2=0.019125813123840676, score=0.790540 -   1.6s
[CV] c1=0.10696352839196603, c2=0.021087958228932 ....................
[CV]  c1=0.10696352839196603, c2=0.021087958228932, score=0.867854 -   1.4s
[CV] c1=0.3183012995393763, c2=0.05897398854384556 ...................
[CV]  c1=0.3183012995393763, c2=0.05897398854384556, score=0.810575 -   1.4s
[CV] c1=0.8511399176895512, c2=0.026539428910746083 ..................
[CV]  c1=0.8511399176895512, c2=0.026539428910746083, score=0.735281 -   1.6s
[CV] c1=1.433947707051506, c2=0.07165805370843674 ....................
[CV]  c1=1.433947707051506, c2=0.07165805370843674, score=0.570340 -   1.6s
[CV] c1=0.2094725001733468, c2=0.05198464832421314 ...................
[CV]  c1=0.2094725001733468, c2=0.05198464832421314, score=0.742572 -   1.3s
[CV] c1=0.008873460074518176, c2=0.08893136576253033 .................
[CV]  c1=0.008873460074518176, c2=0.08893136576253033, score=0.728086 -   1.2s
[CV] c1=0.7884871203618122, c2=0.017633653131687712 ..................
[CV]  c1=0.7884871203618122, c2=0.017633653131687712, score=0.868235 -   1.5s
[CV] c1=0.360700875305914, c2=0.009425386632129181 ...................
[CV]  c1=0.360700875305914, c2=0.009425386632129181, score=0.859037 -   1.5s
[CV] c1=0.9700356905494021, c2=0.07836038653488422 ...................
[CV]  c1=0.9700356905494021, c2=0.07836038653488422, score=0.783467 -   1.4s
[CV] c1=0.025310236459692523, c2=0.028562889200918314 ................
[CV]  c1=0.025310236459692523, c2=0.028562889200918314, score=0.734225 -   1.3s
[CV] c1=0.16569335261623822, c2=0.06451683078650973 ..................
[CV]  c1=0.16569335261623822, c2=0.06451683078650973, score=0.689428 -   1.3s
[CV] c1=0.35935348523886396, c2=0.033294134322979244 .................
[CV]  c1=0.35935348523886396, c2=0.033294134322979244, score=0.733991 -   1.2s
[CV] c1=0.4135876951266802, c2=0.019125813123840676 ..................
[CV]  c1=0.4135876951266802, c2=0.019125813123840676, score=0.902900 -   1.7s
[CV] c1=0.10696352839196603, c2=0.021087958228932 ....................
[CV]  c1=0.10696352839196603, c2=0.021087958228932, score=0.858212 -   1.5s
[CV] c1=0.20136168290784984, c2=0.01707135692826726 ..................
[CV]  c1=0.20136168290784984, c2=0.01707135692826726, score=0.871290 -   1.4s
[CV] c1=1.327995573275544, c2=0.14913016561142564 ....................
[CV]  c1=1.327995573275544, c2=0.14913016561142564, score=0.777365 -   1.4s
[CV] c1=0.8742187794350681, c2=0.02810101898833159 ...................
[CV]  c1=0.8742187794350681, c2=0.02810101898833159, score=0.804904 -   1.5s
[CV] c1=0.5711973689525676, c2=0.12856076720881268 ...................
[CV]  c1=0.5711973689525676, c2=0.12856076720881268, score=0.714867 -   1.6s
[CV] c1=0.43225660658705506, c2=0.03103903976703545 ..................
[CV]  c1=0.43225660658705506, c2=0.03103903976703545, score=0.802130 -   1.6s
[CV] c1=0.360700875305914, c2=0.009425386632129181 ...................
[CV]  c1=0.360700875305914, c2=0.009425386632129181, score=0.911695 -   1.5s
[CV] c1=0.9700356905494021, c2=0.07836038653488422 ...................
[CV]  c1=0.9700356905494021, c2=0.07836038653488422, score=0.681360 -   1.2s
[CV] c1=0.36919440944986737, c2=0.02369399990372542 ..................
[CV]  c1=0.36919440944986737, c2=0.02369399990372542, score=0.839574 -   1.5s
[CV] c1=0.16569335261623822, c2=0.06451683078650973 ..................
[CV]  c1=0.16569335261623822, c2=0.06451683078650973, score=0.799749 -   1.6s
[CV] c1=1.2344654527961998, c2=0.03869882220443918 ...................
[CV]  c1=1.2344654527961998, c2=0.03869882220443918, score=0.852085 -   1.5s
[CV] c1=0.7289212586775983, c2=0.07750759970946763 ...................
[CV]  c1=0.7289212586775983, c2=0.07750759970946763, score=0.694307 -   1.2s
[CV] c1=0.02772807660588409, c2=0.07480824902901856 ..................
[CV]  c1=0.02772807660588409, c2=0.07480824902901856, score=0.850983 -   1.4s
[CV] c1=0.3528075532936744, c2=0.17787491151930843 ...................
[CV]  c1=0.3528075532936744, c2=0.17787491151930843, score=0.805380 -   1.5s
[CV] c1=1.327995573275544, c2=0.14913016561142564 ....................
[CV]  c1=1.327995573275544, c2=0.14913016561142564, score=0.545614 -   1.1s
[CV] c1=0.4487630851408066, c2=0.06529036634604948 ...................
[CV]  c1=0.4487630851408066, c2=0.06529036634604948, score=0.892373 -   1.5s
[CV] c1=0.03052511247198813, c2=0.03588573382199128 ..................
[CV]  c1=0.03052511247198813, c2=0.03588573382199128, score=0.719352 -   1.2s
[CV] c1=0.04551600555370928, c2=0.04196989917688428 ..................
[CV]  c1=0.04551600555370928, c2=0.04196989917688428, score=0.796308 -   1.6s
[CV] c1=0.0504962739837254, c2=0.07190186150768944 ...................
[CV]  c1=0.0504962739837254, c2=0.07190186150768944, score=0.814672 -   1.6s
[CV] c1=0.21403424663090356, c2=0.03894503620701464 ..................
[CV]  c1=0.21403424663090356, c2=0.03894503620701464, score=0.903226 -   1.6s
[CV] c1=0.9854347456722025, c2=0.027014914714055063 ..................
[CV]  c1=0.9854347456722025, c2=0.027014914714055063, score=0.695277 -   1.6s
[CV] c1=0.9114474850098595, c2=0.05751060038138406 ...................
[CV]  c1=0.9114474850098595, c2=0.05751060038138406, score=0.667336 -   1.6s
[CV] c1=0.35935348523886396, c2=0.033294134322979244 .................
[CV]  c1=0.35935348523886396, c2=0.033294134322979244, score=0.807507 -   1.6s
[CV] c1=1.0857491003501893, c2=0.05545919625353827 ...................
[CV]  c1=1.0857491003501893, c2=0.05545919625353827, score=0.668222 -   1.2s
[CV] c1=0.10696352839196603, c2=0.021087958228932 ....................
[CV]  c1=0.10696352839196603, c2=0.021087958228932, score=0.808412 -   1.6s
[CV] c1=0.03884434507561417, c2=0.018362507494378563 .................
[CV]  c1=0.03884434507561417, c2=0.018362507494378563, score=0.828244 -   1.3s
[CV] c1=0.09265460395406977, c2=0.008393009557744226 .................
[CV]  c1=0.09265460395406977, c2=0.008393009557744226, score=0.741045 -   1.2s
[CV] c1=1.1340381666943542, c2=0.04793078521275638 ...................
[CV]  c1=1.1340381666943542, c2=0.04793078521275638, score=0.634407 -   1.6s
[CV] c1=0.3467805166762185, c2=0.06835956625682148 ...................
[CV]  c1=0.3467805166762185, c2=0.06835956625682148, score=0.813806 -   1.6s
[CV] c1=0.008873460074518176, c2=0.08893136576253033 .................
[CV]  c1=0.008873460074518176, c2=0.08893136576253033, score=0.826436 -   1.5s
[CV] c1=0.18615296776579926, c2=0.017012562361644615 .................
[CV]  c1=0.18615296776579926, c2=0.017012562361644615, score=0.813673 -   1.6s
[CV] c1=1.9614005318017678, c2=0.17447751877667728 ...................
[CV]  c1=1.9614005318017678, c2=0.17447751877667728, score=0.708437 -   1.5s
[CV] c1=1.6390805935657096, c2=0.14772016826801057 ...................
[CV]  c1=1.6390805935657096, c2=0.14772016826801057, score=0.573650 -   1.6s
[CV] c1=0.44024532237222175, c2=0.003513580114761634 .................
[CV]  c1=0.44024532237222175, c2=0.003513580114761634, score=0.798329 -   1.6s
[CV] c1=0.9096165494287827, c2=0.05621809272692149 ...................
[CV]  c1=0.9096165494287827, c2=0.05621809272692149, score=0.855870 -   1.6s
[CV] c1=0.023339315460496012, c2=0.004734839740830651 ................
[CV]  c1=0.023339315460496012, c2=0.004734839740830651, score=0.871147 -   1.4s
[CV] c1=0.13804415096229325, c2=0.010103732636550027 .................
[CV]  c1=0.13804415096229325, c2=0.010103732636550027, score=0.813673 -   1.6s
[CV] c1=0.01207997700052386, c2=0.06849747419252904 ..................
[CV]  c1=0.01207997700052386, c2=0.06849747419252904, score=0.869501 -   1.4s
[CV] c1=0.9066402798738489, c2=0.08242172467842934 ...................
[CV]  c1=0.9066402798738489, c2=0.08242172467842934, score=0.855870 -   1.5s
[CV] c1=0.047358061150173256, c2=0.05660724703975109 .................
[CV]  c1=0.047358061150173256, c2=0.05660724703975109, score=0.890795 -   1.5s
[CV] c1=0.3754691777167258, c2=0.0580100464845158 ....................
[CV]  c1=0.3754691777167258, c2=0.0580100464845158, score=0.892373 -   1.5s
[CV] c1=0.2605392820404831, c2=0.016830125189053035 ..................
[CV]  c1=0.2605392820404831, c2=0.016830125189053035, score=0.913558 -   1.6s
[CV] c1=0.0504962739837254, c2=0.07190186150768944 ...................
[CV]  c1=0.0504962739837254, c2=0.07190186150768944, score=0.845918 -   1.5s
[CV] c1=1.794325177264246, c2=0.007607944418587822 ...................
[CV]  c1=1.794325177264246, c2=0.007607944418587822, score=0.561791 -   1.6s
[CV] c1=0.9854347456722025, c2=0.027014914714055063 ..................
[CV]  c1=0.9854347456722025, c2=0.027014914714055063, score=0.664886 -   1.6s
[CV] c1=0.9114474850098595, c2=0.05751060038138406 ...................
[CV]  c1=0.9114474850098595, c2=0.05751060038138406, score=0.851971 -   1.6s
[CV] c1=0.35935348523886396, c2=0.033294134322979244 .................
[CV]  c1=0.35935348523886396, c2=0.033294134322979244, score=0.803666 -   1.6s
[CV] c1=0.1671106465534526, c2=0.007242875073126415 ..................
[CV]  c1=0.1671106465534526, c2=0.007242875073126415, score=0.872534 -   1.5s
[CV] c1=0.02772807660588409, c2=0.07480824902901856 ..................
[CV]  c1=0.02772807660588409, c2=0.07480824902901856, score=0.814672 -   1.6s
[CV] c1=0.01207997700052386, c2=0.06849747419252904 ..................
[CV]  c1=0.01207997700052386, c2=0.06849747419252904, score=0.736073 -   1.2s
[CV] c1=0.09265460395406977, c2=0.008393009557744226 .................
[CV]  c1=0.09265460395406977, c2=0.008393009557744226, score=0.816264 -   1.6s
[CV] c1=0.432712516751307, c2=0.03197072481368856 ....................
[CV]  c1=0.432712516751307, c2=0.03197072481368856, score=0.898802 -   1.5s
[CV] c1=0.2094725001733468, c2=0.05198464832421314 ...................
[CV]  c1=0.2094725001733468, c2=0.05198464832421314, score=0.871290 -   1.7s
[CV] c1=0.2605392820404831, c2=0.016830125189053035 ..................
[CV]  c1=0.2605392820404831, c2=0.016830125189053035, score=0.861990 -   1.4s
[CV] c1=0.0504962739837254, c2=0.07190186150768944 ...................
[CV]  c1=0.0504962739837254, c2=0.07190186150768944, score=0.865810 -   1.5s
[CV] c1=1.794325177264246, c2=0.007607944418587822 ...................
[CV]  c1=1.794325177264246, c2=0.007607944418587822, score=0.533128 -   1.2s
[CV] c1=1.6390805935657096, c2=0.14772016826801057 ...................
[CV]  c1=1.6390805935657096, c2=0.14772016826801057, score=0.785843 -   1.5s
[CV] c1=0.19298762260302502, c2=0.12267108664437304 ..................
[CV]  c1=0.19298762260302502, c2=0.12267108664437304, score=0.789548 -   1.7s
[CV] c1=0.9258210985876806, c2=0.018099866884100726 ..................
[CV]  c1=0.9258210985876806, c2=0.018099866884100726, score=0.671257 -   1.6s
[CV] c1=0.023339315460496012, c2=0.004734839740830651 ................
[CV]  c1=0.023339315460496012, c2=0.004734839740830651, score=0.869756 -   1.5s
[CV] c1=0.13804415096229325, c2=0.010103732636550027 .................
[CV]  c1=0.13804415096229325, c2=0.010103732636550027, score=0.866995 -   1.5s
[CV] c1=0.3183012995393763, c2=0.05897398854384556 ...................
[CV]  c1=0.3183012995393763, c2=0.05897398854384556, score=0.727045 -   0.9s
[CV] c1=0.3700927640850048, c2=0.001197472485161539 ..................
[CV]  c1=0.3700927640850048, c2=0.001197472485161539, score=0.709315 -   1.2s
[CV] c1=0.15770642339090601, c2=0.016846861622090942 .................
[CV]  c1=0.15770642339090601, c2=0.016846861622090942, score=0.816264 -   1.6s
[CV] c1=0.8742187794350681, c2=0.02810101898833159 ...................
[CV]  c1=0.8742187794350681, c2=0.02810101898833159, score=0.675079 -   1.6s
[CV] c1=0.1565876025238168, c2=0.15004918816569196 ...................
[CV]  c1=0.1565876025238168, c2=0.15004918816569196, score=0.688020 -   1.2s
[CV] c1=0.1985739387674887, c2=0.03676483503379336 ...................
[CV]  c1=0.1985739387674887, c2=0.03676483503379336, score=0.822560 -   1.6s
[CV] c1=0.6454014100780227, c2=0.06841758477376864 ...................
[CV]  c1=0.6454014100780227, c2=0.06841758477376864, score=0.721238 -   1.6s
[CV] c1=0.9700356905494021, c2=0.07836038653488422 ...................
[CV]  c1=0.9700356905494021, c2=0.07836038653488422, score=0.848359 -   1.5s
[CV] c1=0.025310236459692523, c2=0.028562889200918314 ................
[CV]  c1=0.025310236459692523, c2=0.028562889200918314, score=0.812234 -   1.6s
[CV] c1=0.14124515264098939, c2=0.06671620400260313 ..................
[CV]  c1=0.14124515264098939, c2=0.06671620400260313, score=0.792724 -   1.6s
[CV] c1=0.010461008657073537, c2=0.007336848178064921 ................
[CV]  c1=0.010461008657073537, c2=0.007336848178064921, score=0.895771 -   1.5s
[CV] c1=0.06737663911834837, c2=0.0163078954942134 ...................
[CV]  c1=0.06737663911834837, c2=0.0163078954942134, score=0.750688 -   1.2s
[CV] c1=0.09948439425021151, c2=0.052551152674519735 .................
[CV]  c1=0.09948439425021151, c2=0.052551152674519735, score=0.900380 -   1.3s
[CV] c1=0.1066556639093358, c2=0.12599413679620816 ...................
[CV]  c1=0.1066556639093358, c2=0.12599413679620816, score=0.789548 -   1.6s
[CV] c1=0.9066402798738489, c2=0.08242172467842934 ...................
[CV]  c1=0.9066402798738489, c2=0.08242172467842934, score=0.796777 -   1.4s
[CV] c1=0.047358061150173256, c2=0.05660724703975109 .................
[CV]  c1=0.047358061150173256, c2=0.05660724703975109, score=0.814672 -   1.6s
[CV] c1=0.3754691777167258, c2=0.0580100464845158 ....................
[CV]  c1=0.3754691777167258, c2=0.0580100464845158, score=0.811026 -   1.6s
[CV] c1=0.6182350659275977, c2=0.023764849044500807 ..................
[CV]  c1=0.6182350659275977, c2=0.023764849044500807, score=0.810275 -   1.5s
[CV] c1=0.8891542733865763, c2=0.004122578077229335 ..................
[CV]  c1=0.8891542733865763, c2=0.004122578077229335, score=0.802730 -   1.4s
[CV] c1=0.21403424663090356, c2=0.03894503620701464 ..................
[CV]  c1=0.21403424663090356, c2=0.03894503620701464, score=0.809990 -   1.6s
[CV] c1=0.36919440944986737, c2=0.02369399990372542 ..................
[CV]  c1=0.36919440944986737, c2=0.02369399990372542, score=0.902900 -   1.5s
[CV] c1=0.3106928911113516, c2=0.03664489936219296 ...................
[CV]  c1=0.3106928911113516, c2=0.03664489936219296, score=0.810575 -   1.6s
[CV] c1=0.4831916931283349, c2=0.019582416471927988 ..................
[CV]  c1=0.4831916931283349, c2=0.019582416471927988, score=0.834198 -   1.6s
[CV] c1=0.1671106465534526, c2=0.007242875073126415 ..................
[CV]  c1=0.1671106465534526, c2=0.007242875073126415, score=0.813673 -   1.6s
[CV] c1=0.3637323733965809, c2=0.05054085957646176 ...................
[CV]  c1=0.3637323733965809, c2=0.05054085957646176, score=0.903498 -   1.5s
[CV] c1=0.1066556639093358, c2=0.12599413679620816 ...................
[CV]  c1=0.1066556639093358, c2=0.12599413679620816, score=0.850879 -   1.4s
[CV] c1=2.525014831542233, c2=0.03739446712079002 ....................
[CV]  c1=2.525014831542233, c2=0.03739446712079002, score=0.531918 -   1.6s
[CV] c1=0.047358061150173256, c2=0.05660724703975109 .................
[CV]  c1=0.047358061150173256, c2=0.05660724703975109, score=0.860542 -   1.4s
[CV] c1=0.3754691777167258, c2=0.0580100464845158 ....................
[CV]  c1=0.3754691777167258, c2=0.0580100464845158, score=0.783174 -   1.6s
[CV] c1=0.6182350659275977, c2=0.023764849044500807 ..................
[CV]  c1=0.6182350659275977, c2=0.023764849044500807, score=0.725277 -   1.6s
[CV] c1=0.6265902186806305, c2=0.04689743888670704 ...................
[CV]  c1=0.6265902186806305, c2=0.04689743888670704, score=0.709134 -   1.2s
[CV] c1=1.794325177264246, c2=0.007607944418587822 ...................
[CV]  c1=1.794325177264246, c2=0.007607944418587822, score=0.739432 -   1.4s
[CV] c1=0.8870236026279533, c2=0.040682957193126174 ..................
[CV]  c1=0.8870236026279533, c2=0.040682957193126174, score=0.667336 -   1.6s
[CV] c1=0.3106928911113516, c2=0.03664489936219296 ...................
[CV]  c1=0.3106928911113516, c2=0.03664489936219296, score=0.904668 -   1.6s
[CV] c1=0.4831916931283349, c2=0.019582416471927988 ..................
[CV]  c1=0.4831916931283349, c2=0.019582416471927988, score=0.792804 -   1.6s
[CV] c1=0.1671106465534526, c2=0.007242875073126415 ..................
[CV]  c1=0.1671106465534526, c2=0.007242875073126415, score=0.900088 -   1.5s
[CV] c1=0.02772807660588409, c2=0.07480824902901856 ..................
[CV]  c1=0.02772807660588409, c2=0.07480824902901856, score=0.865467 -   1.5s
[CV] c1=0.7665729238501542, c2=0.03050406070864847 ...................
[CV]  c1=0.7665729238501542, c2=0.03050406070864847, score=0.800605 -   1.4s
[CV] c1=0.2044259860802366, c2=0.01289379318238845 ...................
[CV]  c1=0.2044259860802366, c2=0.01289379318238845, score=0.722295 -   1.3s
[CV] c1=0.047358061150173256, c2=0.05660724703975109 .................
[CV]  c1=0.047358061150173256, c2=0.05660724703975109, score=0.722421 -   1.2s
[CV] c1=0.5108835375187087, c2=0.005271616840262041 ..................
[CV]  c1=0.5108835375187087, c2=0.005271616840262041, score=0.834785 -   1.6s
[CV] c1=0.04551600555370928, c2=0.04196989917688428 ..................
[CV]  c1=0.04551600555370928, c2=0.04196989917688428, score=0.745451 -   1.2s
[CV] c1=0.7884871203618122, c2=0.017633653131687712 ..................
[CV]  c1=0.7884871203618122, c2=0.017633653131687712, score=0.779548 -   1.6s
[CV] c1=1.9614005318017678, c2=0.17447751877667728 ...................
[CV]  c1=1.9614005318017678, c2=0.17447751877667728, score=0.614416 -   1.5s
[CV] c1=1.6390805935657096, c2=0.14772016826801057 ...................
[CV]  c1=1.6390805935657096, c2=0.14772016826801057, score=0.541055 -   1.2s
[CV] c1=0.14327775563989922, c2=0.03952790875132714 ..................
[CV]  c1=0.14327775563989922, c2=0.03952790875132714, score=0.905292 -   1.5s
[CV] c1=0.9097434029978592, c2=0.018841501451243435 ..................
[CV]  c1=0.9097434029978592, c2=0.018841501451243435, score=0.865883 -   1.5s
[CV] c1=1.2344654527961998, c2=0.03869882220443918 ...................
[CV]  c1=1.2344654527961998, c2=0.03869882220443918, score=0.600106 -   1.6s
[CV] c1=0.06737663911834837, c2=0.0163078954942134 ...................
[CV]  c1=0.06737663911834837, c2=0.0163078954942134, score=0.873245 -   1.4s
[CV] c1=0.9960779411739439, c2=0.018314027703835497 ..................
[CV]  c1=0.9960779411739439, c2=0.018314027703835497, score=0.674617 -   1.1s
[CV] c1=1.2848437415146248, c2=0.12600626725514577 ...................
[CV]  c1=1.2848437415146248, c2=0.12600626725514577, score=0.559987 -   0.9s
[CV] c1=0.3700927640850048, c2=0.001197472485161539 ..................
[CV]  c1=0.3700927640850048, c2=0.001197472485161539, score=0.903498 -   1.6s
[CV] c1=0.1377675329360087, c2=0.02010919657918883 ...................
[CV]  c1=0.1377675329360087, c2=0.02010919657918883, score=0.808412 -   1.7s
[CV] c1=0.18659043677377224, c2=0.0032911510418574077 ................
[CV]  c1=0.18659043677377224, c2=0.0032911510418574077, score=0.816065 -   1.6s
[CV] c1=0.43662599404626135, c2=0.09463099236633911 ..................
[CV]  c1=0.43662599404626135, c2=0.09463099236633911, score=0.707674 -   1.3s
[CV] c1=0.22176791594217735, c2=0.10335658564637112 ..................
[CV]  c1=0.22176791594217735, c2=0.10335658564637112, score=0.799749 -   1.8s
[CV] c1=1.9614005318017678, c2=0.17447751877667728 ...................
[CV]  c1=1.9614005318017678, c2=0.17447751877667728, score=0.790313 -   1.6s
[CV] c1=1.6390805935657096, c2=0.14772016826801057 ...................
[CV]  c1=1.6390805935657096, c2=0.14772016826801057, score=0.612167 -   1.6s
[CV] c1=0.44024532237222175, c2=0.003513580114761634 .................
[CV]  c1=0.44024532237222175, c2=0.003513580114761634, score=0.720457 -   1.2s
[CV] c1=0.35807597172206207, c2=0.0037203140653082178 ................
[CV]  c1=0.35807597172206207, c2=0.0037203140653082178, score=0.732060 -   1.3s
[CV] c1=0.010461008657073537, c2=0.007336848178064921 ................
[CV]  c1=0.010461008657073537, c2=0.007336848178064921, score=0.749808 -   1.2s
[CV] c1=1.0857491003501893, c2=0.05545919625353827 ...................
[CV]  c1=1.0857491003501893, c2=0.05545919625353827, score=0.687226 -   1.5s
[CV] c1=0.09948439425021151, c2=0.052551152674519735 .................
[CV]  c1=0.09948439425021151, c2=0.052551152674519735, score=0.701554 -   1.3s
[CV] c1=0.7665729238501542, c2=0.03050406070864847 ...................
[CV]  c1=0.7665729238501542, c2=0.03050406070864847, score=0.703290 -   1.2s
[CV] c1=2.525014831542233, c2=0.03739446712079002 ....................
[CV]  c1=2.525014831542233, c2=0.03739446712079002, score=0.598137 -   1.5s
[CV] c1=0.432712516751307, c2=0.03197072481368856 ....................
[CV]  c1=0.432712516751307, c2=0.03197072481368856, score=0.855659 -   1.4s
[CV] c1=0.2094725001733468, c2=0.05198464832421314 ...................
[CV]  c1=0.2094725001733468, c2=0.05198464832421314, score=0.822560 -   1.6s
[CV] c1=0.2605392820404831, c2=0.016830125189053035 ..................
[CV]  c1=0.2605392820404831, c2=0.016830125189053035, score=0.724258 -   1.2s
[CV] c1=0.6341020806681441, c2=0.023113931033070516 ..................
[CV]  c1=0.6341020806681441, c2=0.023113931033070516, score=0.885756 -   1.5s
[CV] c1=0.004597296997826594, c2=0.018872134080736517 ................
[CV]  c1=0.004597296997826594, c2=0.018872134080736517, score=0.818597 -   1.5s
[CV] c1=0.14277549989836055, c2=0.11296570213902286 ..................
[CV]  c1=0.14277549989836055, c2=0.11296570213902286, score=0.798375 -   1.6s
[CV] c1=0.44024532237222175, c2=0.003513580114761634 .................
[CV]  c1=0.44024532237222175, c2=0.003513580114761634, score=0.840026 -   1.6s
[CV] c1=0.9096165494287827, c2=0.05621809272692149 ...................
[CV]  c1=0.9096165494287827, c2=0.05621809272692149, score=0.682343 -   1.6s
[CV] c1=0.023339315460496012, c2=0.004734839740830651 ................
[CV]  c1=0.023339315460496012, c2=0.004734839740830651, score=0.798526 -   1.5s
[CV] c1=0.10696352839196603, c2=0.021087958228932 ....................
[CV]  c1=0.10696352839196603, c2=0.021087958228932, score=0.900088 -   1.6s
[CV] c1=0.1066556639093358, c2=0.12599413679620816 ...................
[CV]  c1=0.1066556639093358, c2=0.12599413679620816, score=0.688020 -   0.9s
[CV] c1=0.8511399176895512, c2=0.026539428910746083 ..................
[CV]  c1=0.8511399176895512, c2=0.026539428910746083, score=0.866163 -   1.5s
[CV] c1=1.1340381666943542, c2=0.04793078521275638 ...................
[CV]  c1=1.1340381666943542, c2=0.04793078521275638, score=0.852085 -   1.5s
[CV] c1=0.3467805166762185, c2=0.06835956625682148 ...................
[CV]  c1=0.3467805166762185, c2=0.06835956625682148, score=0.896472 -   1.6s
[CV] c1=0.43662599404626135, c2=0.09463099236633911 ..................
[CV]  c1=0.43662599404626135, c2=0.09463099236633911, score=0.896240 -   1.7s
[CV] c1=0.18615296776579926, c2=0.017012562361644615 .................
[CV]  c1=0.18615296776579926, c2=0.017012562361644615, score=0.905292 -   1.6s
[CV] c1=1.9614005318017678, c2=0.17447751877667728 ...................
[CV]  c1=1.9614005318017678, c2=0.17447751877667728, score=0.516344 -   1.2s
[CV] c1=0.17705500640748303, c2=0.008486100908178534 .................
[CV]  c1=0.17705500640748303, c2=0.008486100908178534, score=0.905292 -   1.6s
[CV] c1=0.14327775563989922, c2=0.03952790875132714 ..................
[CV]  c1=0.14327775563989922, c2=0.03952790875132714, score=0.865502 -   1.5s
[CV] c1=0.9097434029978592, c2=0.018841501451243435 ..................
[CV]  c1=0.9097434029978592, c2=0.018841501451243435, score=0.695747 -   1.2s
[CV] c1=0.4058770732591159, c2=0.04726052991468726 ...................
[CV]  c1=0.4058770732591159, c2=0.04726052991468726, score=0.802130 -   1.5s
[CV] c1=0.7289212586775983, c2=0.07750759970946763 ...................
[CV]  c1=0.7289212586775983, c2=0.07750759970946763, score=0.712726 -   1.6s
[CV] c1=0.9960779411739439, c2=0.018314027703835497 ..................
[CV]  c1=0.9960779411739439, c2=0.018314027703835497, score=0.858733 -   1.3s
[CV] c1=0.3528075532936744, c2=0.17787491151930843 ...................
[CV]  c1=0.3528075532936744, c2=0.17787491151930843, score=0.838158 -   1.4s
[CV] c1=0.15770642339090601, c2=0.016846861622090942 .................
[CV]  c1=0.15770642339090601, c2=0.016846861622090942, score=0.738846 -   1.2s
[CV] c1=0.047358061150173256, c2=0.05660724703975109 .................
[CV]  c1=0.047358061150173256, c2=0.05660724703975109, score=0.784378 -   1.6s
[CV] c1=0.03052511247198813, c2=0.03588573382199128 ..................
[CV]  c1=0.03052511247198813, c2=0.03588573382199128, score=0.814672 -   1.6s
[CV] c1=0.1985739387674887, c2=0.03676483503379336 ...................
[CV]  c1=0.1985739387674887, c2=0.03676483503379336, score=0.734357 -   1.2s
[CV] c1=0.0504962739837254, c2=0.07190186150768944 ...................
[CV]  c1=0.0504962739837254, c2=0.07190186150768944, score=0.786948 -   1.6s
[CV] c1=0.21403424663090356, c2=0.03894503620701464 ..................
[CV]  c1=0.21403424663090356, c2=0.03894503620701464, score=0.871290 -   1.4s
[CV] c1=0.9854347456722025, c2=0.027014914714055063 ..................
[CV]  c1=0.9854347456722025, c2=0.027014914714055063, score=0.695747 -   1.2s
[CV] c1=0.44024532237222175, c2=0.003513580114761634 .................
[CV]  c1=0.44024532237222175, c2=0.003513580114761634, score=0.859037 -   1.4s
[CV] c1=0.9258210985876806, c2=0.018099866884100726 ..................
[CV]  c1=0.9258210985876806, c2=0.018099866884100726, score=0.683197 -   1.1s
[CV] c1=0.4836153334824116, c2=0.0958798087262005 ....................
[CV]  c1=0.4836153334824116, c2=0.0958798087262005, score=0.896240 -   1.5s
[CV] c1=0.7172838464033149, c2=0.010680005577733746 ..................
[CV]  c1=0.7172838464033149, c2=0.010680005577733746, score=0.701526 -   1.2s
[CV] c1=0.09948439425021151, c2=0.052551152674519735 .................
[CV]  c1=0.09948439425021151, c2=0.052551152674519735, score=0.824792 -   1.4s
[CV] c1=0.03884434507561417, c2=0.018362507494378563 .................
[CV]  c1=0.03884434507561417, c2=0.018362507494378563, score=0.725146 -   0.8s
[CV] c1=0.3700927640850048, c2=0.001197472485161539 ..................
[CV]  c1=0.3700927640850048, c2=0.001197472485161539, score=0.859037 -   1.5s
[CV] c1=0.1377675329360087, c2=0.02010919657918883 ...................
[CV]  c1=0.1377675329360087, c2=0.02010919657918883, score=0.865502 -   1.5s
[CV] c1=0.18659043677377224, c2=0.0032911510418574077 ................
[CV]  c1=0.18659043677377224, c2=0.0032911510418574077, score=0.813673 -   1.6s
[CV] c1=0.1565876025238168, c2=0.15004918816569196 ...................
[CV]  c1=0.1565876025238168, c2=0.15004918816569196, score=0.789548 -   1.6s
[CV] c1=0.7884871203618122, c2=0.017633653131687712 ..................
[CV]  c1=0.7884871203618122, c2=0.017633653131687712, score=0.707597 -   1.2s
[CV] c1=0.6454014100780227, c2=0.06841758477376864 ...................
[CV]  c1=0.6454014100780227, c2=0.06841758477376864, score=0.790805 -   1.7s
[CV] c1=0.9700356905494021, c2=0.07836038653488422 ...................
[CV]  c1=0.9700356905494021, c2=0.07836038653488422, score=0.690203 -   1.6s
[CV] c1=0.14327775563989922, c2=0.03952790875132714 ..................
[CV]  c1=0.14327775563989922, c2=0.03952790875132714, score=0.808412 -   1.6s
[CV] c1=0.35807597172206207, c2=0.0037203140653082178 ................
[CV]  c1=0.35807597172206207, c2=0.0037203140653082178, score=0.907129 -   1.5s
[CV] c1=0.4836153334824116, c2=0.0958798087262005 ....................
[CV]  c1=0.4836153334824116, c2=0.0958798087262005, score=0.704997 -   1.2s
[CV] c1=0.7289212586775983, c2=0.07750759970946763 ...................
[CV]  c1=0.7289212586775983, c2=0.07750759970946763, score=0.773971 -   1.7s
[CV] c1=0.9960779411739439, c2=0.018314027703835497 ..................
[CV]  c1=0.9960779411739439, c2=0.018314027703835497, score=0.783467 -   1.2s
[CV] c1=0.3183012995393763, c2=0.05897398854384556 ...................
[CV]  c1=0.3183012995393763, c2=0.05897398854384556, score=0.908536 -   1.4s
[CV] c1=0.8511399176895512, c2=0.026539428910746083 ..................
[CV]  c1=0.8511399176895512, c2=0.026539428910746083, score=0.800605 -   1.4s
[CV] c1=1.1340381666943542, c2=0.04793078521275638 ...................
[CV]  c1=1.1340381666943542, c2=0.04793078521275638, score=0.801596 -   1.5s
[CV] c1=0.3467805166762185, c2=0.06835956625682148 ...................
[CV]  c1=0.3467805166762185, c2=0.06835956625682148, score=0.868329 -   1.5s
[CV] c1=0.43662599404626135, c2=0.09463099236633911 ..................
[CV]  c1=0.43662599404626135, c2=0.09463099236633911, score=0.839650 -   1.5s
[CV] c1=0.7884871203618122, c2=0.017633653131687712 ..................
[CV]  c1=0.7884871203618122, c2=0.017633653131687712, score=0.671432 -   1.6s
[CV] c1=1.3474714863149746, c2=0.009118941876594155 ..................
[CV]  c1=1.3474714863149746, c2=0.009118941876594155, score=0.575092 -   1.7s
[CV] c1=0.14277549989836055, c2=0.11296570213902286 ..................
[CV]  c1=0.14277549989836055, c2=0.11296570213902286, score=0.889061 -   1.9s
[CV] c1=0.22343542810919081, c2=0.016721672142956376 .................
[CV]  c1=0.22343542810919081, c2=0.016721672142956376, score=0.816065 -   1.6s
[CV] c1=0.4831916931283349, c2=0.019582416471927988 ..................
[CV]  c1=0.4831916931283349, c2=0.019582416471927988, score=0.863332 -   1.5s
[CV] c1=0.4135876951266802, c2=0.019125813123840676 ..................
[CV]  c1=0.4135876951266802, c2=0.019125813123840676, score=0.810575 -   1.6s
[CV] c1=0.02772807660588409, c2=0.07480824902901856 ..................
[CV]  c1=0.02772807660588409, c2=0.07480824902901856, score=0.778465 -   1.6s
[CV] c1=0.20136168290784984, c2=0.01707135692826726 ..................
[CV]  c1=0.20136168290784984, c2=0.01707135692826726, score=0.727831 -   1.2s
[CV] c1=0.2044259860802366, c2=0.01289379318238845 ...................
[CV]  c1=0.2044259860802366, c2=0.01289379318238845, score=0.805821 -   1.6s
[CV] c1=0.8172898017174591, c2=0.015169236121596017 ..................
[CV]  c1=0.8172898017174591, c2=0.015169236121596017, score=0.860887 -   1.5s
[CV] c1=0.443266796574139, c2=0.04447171818324789 ....................
[CV]  c1=0.443266796574139, c2=0.04447171818324789, score=0.847733 -   1.4s
[CV] c1=0.1985739387674887, c2=0.03676483503379336 ...................
[CV]  c1=0.1985739387674887, c2=0.03676483503379336, score=0.802138 -   1.5s
[CV] c1=0.6265902186806305, c2=0.04689743888670704 ...................
[CV]  c1=0.6265902186806305, c2=0.04689743888670704, score=0.790805 -   1.6s
[CV] c1=2.3496201464033124, c2=0.09360284743822549 ...................
[CV]  c1=2.3496201464033124, c2=0.09360284743822549, score=0.599446 -   1.5s
[CV] c1=3.2373262627649986, c2=0.009246455308213955 ..................
[CV]  c1=3.2373262627649986, c2=0.009246455308213955, score=0.591857 -   1.4s
[CV] c1=0.16569335261623822, c2=0.06451683078650973 ..................
[CV]  c1=0.16569335261623822, c2=0.06451683078650973, score=0.865502 -   1.5s
[CV] c1=0.4058770732591159, c2=0.04726052991468726 ...................
[CV]  c1=0.4058770732591159, c2=0.04726052991468726, score=0.852028 -   1.5s
[CV] c1=1.0857491003501893, c2=0.05545919625353827 ...................
[CV]  c1=1.0857491003501893, c2=0.05545919625353827, score=0.812199 -   1.5s
[CV] c1=0.3637323733965809, c2=0.05054085957646176 ...................
[CV]  c1=0.3637323733965809, c2=0.05054085957646176, score=0.810575 -   1.4s
[CV] c1=0.7665729238501542, c2=0.03050406070864847 ...................
[CV]  c1=0.7665729238501542, c2=0.03050406070864847, score=0.726645 -   1.6s
[CV] c1=1.327995573275544, c2=0.14913016561142564 ....................
[CV]  c1=1.327995573275544, c2=0.14913016561142564, score=0.843279 -   1.5s
[CV] c1=0.8742187794350681, c2=0.02810101898833159 ...................
[CV]  c1=0.8742187794350681, c2=0.02810101898833159, score=0.851971 -   1.4s
[CV] c1=0.443266796574139, c2=0.04447171818324789 ....................
[CV]  c1=0.443266796574139, c2=0.04447171818324789, score=0.834198 -   1.6s
[CV] c1=0.43225660658705506, c2=0.03103903976703545 ..................
[CV]  c1=0.43225660658705506, c2=0.03103903976703545, score=0.863332 -   1.4s
[CV] c1=0.6454014100780227, c2=0.06841758477376864 ...................
[CV]  c1=0.6454014100780227, c2=0.06841758477376864, score=0.701763 -   1.2s
[CV] c1=0.21403424663090356, c2=0.03894503620701464 ..................
[CV]  c1=0.21403424663090356, c2=0.03894503620701464, score=0.822560 -   1.7s
[CV] c1=0.36919440944986737, c2=0.02369399990372542 ..................
[CV]  c1=0.36919440944986737, c2=0.02369399990372542, score=0.859037 -   1.5s
[CV] c1=0.9114474850098595, c2=0.05751060038138406 ...................
[CV]  c1=0.9114474850098595, c2=0.05751060038138406, score=0.765760 -   1.6s
[CV] c1=0.4058770732591159, c2=0.04726052991468726 ...................
[CV]  c1=0.4058770732591159, c2=0.04726052991468726, score=0.898802 -   1.5s
[CV] c1=1.0857491003501893, c2=0.05545919625353827 ...................
[CV]  c1=1.0857491003501893, c2=0.05545919625353827, score=0.859176 -   1.6s
[CV] c1=0.3637323733965809, c2=0.05054085957646176 ...................
[CV]  c1=0.3637323733965809, c2=0.05054085957646176, score=0.785452 -   1.5s
[CV] c1=0.7665729238501542, c2=0.03050406070864847 ...................
[CV]  c1=0.7665729238501542, c2=0.03050406070864847, score=0.779548 -   1.6s
[CV] c1=0.15770642339090601, c2=0.016846861622090942 .................
[CV]  c1=0.15770642339090601, c2=0.016846861622090942, score=0.865502 -   1.4s
[CV] c1=0.8172898017174591, c2=0.015169236121596017 ..................
[CV]  c1=0.8172898017174591, c2=0.015169236121596017, score=0.692660 -   1.5s
[CV] c1=0.5711973689525676, c2=0.12856076720881268 ...................
[CV]  c1=0.5711973689525676, c2=0.12856076720881268, score=0.880826 -   1.5s
[CV] c1=0.43225660658705506, c2=0.03103903976703545 ..................
[CV]  c1=0.43225660658705506, c2=0.03103903976703545, score=0.902900 -   1.6s
[CV] c1=0.6454014100780227, c2=0.06841758477376864 ...................
[CV]  c1=0.6454014100780227, c2=0.06841758477376864, score=0.810834 -   1.4s
[CV] c1=2.3496201464033124, c2=0.09360284743822549 ...................
[CV]  c1=2.3496201464033124, c2=0.09360284743822549, score=0.675188 -   1.5s
[CV] c1=3.2373262627649986, c2=0.009246455308213955 ..................
[CV]  c1=3.2373262627649986, c2=0.009246455308213955, score=0.497912 -   1.6s
[CV] c1=0.14124515264098939, c2=0.06671620400260313 ..................
[CV]  c1=0.14124515264098939, c2=0.06671620400260313, score=0.860111 -   1.5s
[CV] c1=1.2344654527961998, c2=0.03869882220443918 ...................
[CV]  c1=1.2344654527961998, c2=0.03869882220443918, score=0.792322 -   1.5s
[CV] c1=0.7289212586775983, c2=0.07750759970946763 ...................
[CV]  c1=0.7289212586775983, c2=0.07750759970946763, score=0.807941 -   1.4s
[CV] c1=0.09948439425021151, c2=0.052551152674519735 .................
[CV]  c1=0.09948439425021151, c2=0.052551152674519735, score=0.802058 -   1.5s
[CV] c1=0.3528075532936744, c2=0.17787491151930843 ...................
[CV]  c1=0.3528075532936744, c2=0.17787491151930843, score=0.768877 -   1.5s
[CV] c1=0.15770642339090601, c2=0.016846861622090942 .................
[CV]  c1=0.15770642339090601, c2=0.016846861622090942, score=0.904693 -   1.6s
[CV] c1=0.8172898017174591, c2=0.015169236121596017 ..................
[CV]  c1=0.8172898017174591, c2=0.015169236121596017, score=0.776959 -   1.7s
[CV] c1=0.5711973689525676, c2=0.12856076720881268 ...................
[CV]  c1=0.5711973689525676, c2=0.12856076720881268, score=0.810834 -   1.4s
[CV] c1=0.43225660658705506, c2=0.03103903976703545 ..................
[CV]  c1=0.43225660658705506, c2=0.03103903976703545, score=0.790540 -   1.7s
[CV] c1=0.360700875305914, c2=0.009425386632129181 ...................
[CV]  c1=0.360700875305914, c2=0.009425386632129181, score=0.795877 -   1.6s
[CV] c1=0.17705500640748303, c2=0.008486100908178534 .................
[CV]  c1=0.17705500640748303, c2=0.008486100908178534, score=0.733841 -   1.2s
[CV] c1=0.025310236459692523, c2=0.028562889200918314 ................
[CV]  c1=0.025310236459692523, c2=0.028562889200918314, score=0.865159 -   1.5s
[CV] c1=0.16569335261623822, c2=0.06451683078650973 ..................
[CV]  c1=0.16569335261623822, c2=0.06451683078650973, score=0.795036 -   1.6s
[CV] c1=1.2344654527961998, c2=0.03869882220443918 ...................
[CV]  c1=1.2344654527961998, c2=0.03869882220443918, score=0.633710 -   1.6s
[CV] c1=0.06737663911834837, c2=0.0163078954942134 ...................
[CV]  c1=0.06737663911834837, c2=0.0163078954942134, score=0.896815 -   1.5s
[CV] c1=0.9960779411739439, c2=0.018314027703835497 ..................
[CV]  c1=0.9960779411739439, c2=0.018314027703835497, score=0.638616 -   1.3s
[CV] c1=0.7665729238501542, c2=0.03050406070864847 ...................
[CV]  c1=0.7665729238501542, c2=0.03050406070864847, score=0.860887 -   1.6s
[CV] c1=0.2044259860802366, c2=0.01289379318238845 ...................
[CV]  c1=0.2044259860802366, c2=0.01289379318238845, score=0.839574 -   1.5s
[CV] c1=0.8172898017174591, c2=0.015169236121596017 ..................
[CV]  c1=0.8172898017174591, c2=0.015169236121596017, score=0.707597 -   1.3s
[CV] c1=0.03052511247198813, c2=0.03588573382199128 ..................
[CV]  c1=0.03052511247198813, c2=0.03588573382199128, score=0.872207 -   1.5s
[CV] c1=0.6182350659275977, c2=0.023764849044500807 ..................
[CV]  c1=0.6182350659275977, c2=0.023764849044500807, score=0.691707 -   1.2s
[CV] c1=0.6341020806681441, c2=0.023113931033070516 ..................
[CV]  c1=0.6341020806681441, c2=0.023113931033070516, score=0.787737 -   1.6s
[CV] c1=1.794325177264246, c2=0.007607944418587822 ...................
[CV]  c1=1.794325177264246, c2=0.007607944418587822, score=0.606476 -   1.5s
[CV] c1=0.9854347456722025, c2=0.027014914714055063 ..................
[CV]  c1=0.9854347456722025, c2=0.027014914714055063, score=0.850969 -   1.6s
[CV] c1=0.3106928911113516, c2=0.03664489936219296 ...................
[CV]  c1=0.3106928911113516, c2=0.03664489936219296, score=0.803666 -   1.6s
[CV] c1=0.35935348523886396, c2=0.033294134322979244 .................
[CV]  c1=0.35935348523886396, c2=0.033294134322979244, score=0.892373 -   1.8s
[CV] c1=1.0857491003501893, c2=0.05545919625353827 ...................
[CV]  c1=1.0857491003501893, c2=0.05545919625353827, score=0.634407 -   1.5s
[CV] c1=0.3637323733965809, c2=0.05054085957646176 ...................
[CV]  c1=0.3637323733965809, c2=0.05054085957646176, score=0.868329 -   1.4s
[CV] c1=1.2848437415146248, c2=0.12600626725514577 ...................
[CV]  c1=1.2848437415146248, c2=0.12600626725514577, score=0.570340 -   1.4s
[CV] c1=0.8511399176895512, c2=0.026539428910746083 ..................
[CV]  c1=0.8511399176895512, c2=0.026539428910746083, score=0.674564 -   1.6s
[CV] c1=1.433947707051506, c2=0.07165805370843674 ....................
[CV]  c1=1.433947707051506, c2=0.07165805370843674, score=0.834931 -   1.5s
[CV] c1=0.5108835375187087, c2=0.005271616840262041 ..................
[CV]  c1=0.5108835375187087, c2=0.005271616840262041, score=0.720356 -   1.3s
[CV] c1=0.43662599404626135, c2=0.09463099236633911 ..................
[CV]  c1=0.43662599404626135, c2=0.09463099236633911, score=0.774590 -   1.6s
[CV] c1=0.7884871203618122, c2=0.017633653131687712 ..................
[CV]  c1=0.7884871203618122, c2=0.017633653131687712, score=0.803283 -   1.5s
[CV] c1=1.3474714863149746, c2=0.009118941876594155 ..................
[CV]  c1=1.3474714863149746, c2=0.009118941876594155, score=0.614454 -   1.6s
[CV] c1=1.6390805935657096, c2=0.14772016826801057 ...................
[CV]  c1=1.6390805935657096, c2=0.14772016826801057, score=0.803817 -   1.3s
[CV] c1=0.14327775563989922, c2=0.03952790875132714 ..................
[CV]  c1=0.14327775563989922, c2=0.03952790875132714, score=0.713972 -   1.3s
[CV] c1=0.14124515264098939, c2=0.06671620400260313 ..................
[CV]  c1=0.14124515264098939, c2=0.06671620400260313, score=0.707224 -   1.3s
[CV] c1=0.4058770732591159, c2=0.04726052991468726 ...................
[CV]  c1=0.4058770732591159, c2=0.04726052991468726, score=0.790429 -   1.6s
[CV] c1=0.7289212586775983, c2=0.07750759970946763 ...................
[CV]  c1=0.7289212586775983, c2=0.07750759970946763, score=0.874664 -   1.6s
[CV] c1=0.09948439425021151, c2=0.052551152674519735 .................
[CV]  c1=0.09948439425021151, c2=0.052551152674519735, score=0.855817 -   1.4s
[CV] c1=0.01207997700052386, c2=0.06849747419252904 ..................
[CV]  c1=0.01207997700052386, c2=0.06849747419252904, score=0.826436 -   1.6s
[CV] c1=0.2044259860802366, c2=0.01289379318238845 ...................
[CV]  c1=0.2044259860802366, c2=0.01289379318238845, score=0.866284 -   1.4s
[CV] c1=0.4487630851408066, c2=0.06529036634604948 ...................
[CV]  c1=0.4487630851408066, c2=0.06529036634604948, score=0.716886 -   1.2s
[CV] c1=0.2094725001733468, c2=0.05198464832421314 ...................
[CV]  c1=0.2094725001733468, c2=0.05198464832421314, score=0.803432 -   1.6s
[CV] c1=0.04551600555370928, c2=0.04196989917688428 ..................
[CV]  c1=0.04551600555370928, c2=0.04196989917688428, score=0.860518 -   1.5s
[CV] c1=0.6341020806681441, c2=0.023113931033070516 ..................
[CV]  c1=0.6341020806681441, c2=0.023113931033070516, score=0.820140 -   1.4s
[CV] c1=0.004597296997826594, c2=0.018872134080736517 ................
[CV]  c1=0.004597296997826594, c2=0.018872134080736517, score=0.845488 -   1.5s
[CV] c1=0.14277549989836055, c2=0.11296570213902286 ..................
[CV]  c1=0.14277549989836055, c2=0.11296570213902286, score=0.688020 -   1.2s
[CV] c1=0.19298762260302502, c2=0.12267108664437304 ..................
[CV]  c1=0.19298762260302502, c2=0.12267108664437304, score=0.900007 -   1.5s
[CV] c1=0.9097434029978592, c2=0.018841501451243435 ..................
[CV]  c1=0.9097434029978592, c2=0.018841501451243435, score=0.698414 -   1.5s
[CV] c1=0.4836153334824116, c2=0.0958798087262005 ....................
[CV]  c1=0.4836153334824116, c2=0.0958798087262005, score=0.751159 -   1.5s
[CV] c1=0.7172838464033149, c2=0.010680005577733746 ..................
[CV]  c1=0.7172838464033149, c2=0.010680005577733746, score=0.803283 -   1.4s
[CV] c1=0.5268635292404116, c2=0.024196269310970173 ..................
[CV]  c1=0.5268635292404116, c2=0.024196269310970173, score=0.892373 -   1.3s
[CV] c1=0.03884434507561417, c2=0.018362507494378563 .................
[CV]  c1=0.03884434507561417, c2=0.018362507494378563, score=0.812234 -   1.5s
[CV] c1=2.525014831542233, c2=0.03739446712079002 ....................
[CV]  c1=2.525014831542233, c2=0.03739446712079002, score=0.486382 -   1.1s
[CV] c1=1.1340381666943542, c2=0.04793078521275638 ...................
[CV]  c1=1.1340381666943542, c2=0.04793078521275638, score=0.687226 -   1.6s
[CV] c1=0.5108835375187087, c2=0.005271616840262041 ..................
[CV]  c1=0.5108835375187087, c2=0.005271616840262041, score=0.853466 -   1.5s
[CV] c1=0.008873460074518176, c2=0.08893136576253033 .................
[CV]  c1=0.008873460074518176, c2=0.08893136576253033, score=0.849932 -   1.5s
[CV] c1=0.18615296776579926, c2=0.017012562361644615 .................
[CV]  c1=0.18615296776579926, c2=0.017012562361644615, score=0.825798 -   1.5s
[CV] c1=0.004597296997826594, c2=0.018872134080736517 ................
[CV]  c1=0.004597296997826594, c2=0.018872134080736517, score=0.734947 -   1.2s
[CV] c1=0.17705500640748303, c2=0.008486100908178534 .................
[CV]  c1=0.17705500640748303, c2=0.008486100908178534, score=0.806991 -   1.6s
[CV] c1=0.19298762260302502, c2=0.12267108664437304 ..................
[CV]  c1=0.19298762260302502, c2=0.12267108664437304, score=0.802340 -   1.6s
[CV] c1=0.35807597172206207, c2=0.0037203140653082178 ................
[CV]  c1=0.35807597172206207, c2=0.0037203140653082178, score=0.839574 -   1.6s
[CV] c1=0.2081313365986057, c2=0.06515181351179325 ...................
[CV]  c1=0.2081313365986057, c2=0.06515181351179325, score=0.799749 -   1.6s
[CV] c1=0.13804415096229325, c2=0.010103732636550027 .................
[CV]  c1=0.13804415096229325, c2=0.010103732636550027, score=0.747554 -   1.3s
[CV] c1=0.24654994757287474, c2=0.022801704648371984 .................
[CV]  c1=0.24654994757287474, c2=0.022801704648371984, score=0.729898 -   0.9s
[CV] c1=1.2848437415146248, c2=0.12600626725514577 ...................
[CV]  c1=1.2848437415146248, c2=0.12600626725514577, score=0.783072 -   1.2s
[CV] c1=0.3700927640850048, c2=0.001197472485161539 ..................
[CV]  c1=0.3700927640850048, c2=0.001197472485161539, score=0.839059 -   1.6s
[CV] c1=1.1340381666943542, c2=0.04793078521275638 ...................
[CV]  c1=1.1340381666943542, c2=0.04793078521275638, score=0.659622 -   1.3s
[CV] c1=0.18659043677377224, c2=0.0032911510418574077 ................
[CV]  c1=0.18659043677377224, c2=0.0032911510418574077, score=0.739317 -   1.3s
[CV] c1=0.5711973689525676, c2=0.12856076720881268 ...................
[CV]  c1=0.5711973689525676, c2=0.12856076720881268, score=0.700001 -   1.2s
[CV] c1=0.6182350659275977, c2=0.023764849044500807 ..................
[CV]  c1=0.6182350659275977, c2=0.023764849044500807, score=0.790805 -   1.6s
[CV] c1=0.6265902186806305, c2=0.04689743888670704 ...................
[CV]  c1=0.6265902186806305, c2=0.04689743888670704, score=0.721238 -   1.6s
[CV] c1=2.3496201464033124, c2=0.09360284743822549 ...................
[CV]  c1=2.3496201464033124, c2=0.09360284743822549, score=0.698271 -   1.6s
[CV] c1=3.2373262627649986, c2=0.009246455308213955 ..................
[CV]  c1=3.2373262627649986, c2=0.009246455308213955, score=0.577404 -   1.6s
[CV] c1=0.14124515264098939, c2=0.06671620400260313 ..................
[CV]  c1=0.14124515264098939, c2=0.06671620400260313, score=0.894012 -   1.8s
[CV] c1=0.010461008657073537, c2=0.007336848178064921 ................
[CV]  c1=0.010461008657073537, c2=0.007336848178064921, score=0.811460 -   1.6s
[CV] c1=0.06737663911834837, c2=0.0163078954942134 ...................
[CV]  c1=0.06737663911834837, c2=0.0163078954942134, score=0.860524 -   1.6s
[CV] c1=0.5268635292404116, c2=0.024196269310970173 ..................
[CV]  c1=0.5268635292404116, c2=0.024196269310970173, score=0.848881 -   1.1s
[CV] c1=0.3528075532936744, c2=0.17787491151930843 ...................
[CV]  c1=0.3528075532936744, c2=0.17787491151930843, score=0.671765 -   1.3s
[CV] c1=0.9066402798738489, c2=0.08242172467842934 ...................
[CV]  c1=0.9066402798738489, c2=0.08242172467842934, score=0.686751 -   1.6s
[CV] c1=0.4487630851408066, c2=0.06529036634604948 ...................
[CV]  c1=0.4487630851408066, c2=0.06529036634604948, score=0.848881 -   1.5s
[CV] c1=0.443266796574139, c2=0.04447171818324789 ....................
[CV]  c1=0.443266796574139, c2=0.04447171818324789, score=0.717835 -   1.2s
[CV] c1=0.2605392820404831, c2=0.016830125189053035 ..................
[CV]  c1=0.2605392820404831, c2=0.016830125189053035, score=0.802138 -   1.6s
[CV] c1=0.8891542733865763, c2=0.004122578077229335 ..................
[CV]  c1=0.8891542733865763, c2=0.004122578077229335, score=0.854219 -   1.5s
[CV] c1=0.21403424663090356, c2=0.03894503620701464 ..................
[CV]  c1=0.21403424663090356, c2=0.03894503620701464, score=0.731630 -   1.2s
[CV] c1=0.8870236026279533, c2=0.040682957193126174 ..................
[CV]  c1=0.8870236026279533, c2=0.040682957193126174, score=0.860658 -   1.5s
[CV] c1=0.22343542810919081, c2=0.016721672142956376 .................
[CV]  c1=0.22343542810919081, c2=0.016721672142956376, score=0.905292 -   1.5s
[CV] c1=0.9096165494287827, c2=0.05621809272692149 ...................
[CV]  c1=0.9096165494287827, c2=0.05621809272692149, score=0.689939 -   1.2s
[CV] c1=0.2081313365986057, c2=0.06515181351179325 ...................
[CV]  c1=0.2081313365986057, c2=0.06515181351179325, score=0.913558 -   1.5s
[CV] c1=0.053496665039527706, c2=0.06929919121402651 .................
[CV]  c1=0.053496665039527706, c2=0.06929919121402651, score=0.724797 -   1.2s
[CV] c1=0.9960779411739439, c2=0.018314027703835497 ..................
[CV]  c1=0.9960779411739439, c2=0.018314027703835497, score=0.695277 -   1.3s
[CV] c1=1.2848437415146248, c2=0.12600626725514577 ...................
[CV]  c1=1.2848437415146248, c2=0.12600626725514577, score=0.852174 -   1.1s
[CV] c1=0.3700927640850048, c2=0.001197472485161539 ..................
[CV]  c1=0.3700927640850048, c2=0.001197472485161539, score=0.801939 -   1.6s
[CV] c1=0.1377675329360087, c2=0.02010919657918883 ...................
[CV]  c1=0.1377675329360087, c2=0.02010919657918883, score=0.819649 -   1.7s
[CV] c1=0.3467805166762185, c2=0.06835956625682148 ...................
[CV]  c1=0.3467805166762185, c2=0.06835956625682148, score=0.787978 -   1.7s
[CV] c1=0.008873460074518176, c2=0.08893136576253033 .................
[CV]  c1=0.008873460074518176, c2=0.08893136576253033, score=0.878292 -   1.6s
[CV] c1=0.18615296776579926, c2=0.017012562361644615 .................
[CV]  c1=0.18615296776579926, c2=0.017012562361644615, score=0.865502 -   1.5s
[CV] c1=1.9614005318017678, c2=0.17447751877667728 ...................
[CV]  c1=1.9614005318017678, c2=0.17447751877667728, score=0.552985 -   1.6s
[CV] c1=0.14277549989836055, c2=0.11296570213902286 ..................
[CV]  c1=0.14277549989836055, c2=0.11296570213902286, score=0.860111 -   1.4s
[CV] c1=0.44024532237222175, c2=0.003513580114761634 .................
[CV]  c1=0.44024532237222175, c2=0.003513580114761634, score=0.902900 -   1.6s
[CV] c1=0.9258210985876806, c2=0.018099866884100726 ..................
[CV]  c1=0.9258210985876806, c2=0.018099866884100726, score=0.800605 -   1.5s
[CV] c1=0.2081313365986057, c2=0.06515181351179325 ...................
[CV]  c1=0.2081313365986057, c2=0.06515181351179325, score=0.871290 -   1.5s
[CV] c1=0.053496665039527706, c2=0.06929919121402651 .................
[CV]  c1=0.053496665039527706, c2=0.06929919121402651, score=0.849932 -   1.5s
[CV] c1=0.24654994757287474, c2=0.022801704648371984 .................
[CV]  c1=0.24654994757287474, c2=0.022801704648371984, score=0.863332 -   1.1s
[CV] c1=0.3183012995393763, c2=0.05897398854384556 ...................
[CV]  c1=0.3183012995393763, c2=0.05897398854384556, score=0.793503 -   1.6s
[CV] c1=0.09265460395406977, c2=0.008393009557744226 .................
[CV]  c1=0.09265460395406977, c2=0.008393009557744226, score=0.851717 -   1.6s
[CV] c1=0.432712516751307, c2=0.03197072481368856 ....................
[CV]  c1=0.432712516751307, c2=0.03197072481368856, score=0.790278 -   1.6s
[CV] c1=0.3754691777167258, c2=0.0580100464845158 ....................
[CV]  c1=0.3754691777167258, c2=0.0580100464845158, score=0.716729 -   1.2s
[CV] c1=0.04551600555370928, c2=0.04196989917688428 ..................
[CV]  c1=0.04551600555370928, c2=0.04196989917688428, score=0.894603 -   1.5s
[CV] c1=0.6341020806681441, c2=0.023113931033070516 ..................
[CV]  c1=0.6341020806681441, c2=0.023113931033070516, score=0.702902 -   1.2s
[CV] c1=1.3474714863149746, c2=0.009118941876594155 ..................
[CV]  c1=1.3474714863149746, c2=0.009118941876594155, score=0.792322 -   1.4s
[CV] c1=0.17705500640748303, c2=0.008486100908178534 .................
[CV]  c1=0.17705500640748303, c2=0.008486100908178534, score=0.816264 -   1.7s
[CV] c1=0.19298762260302502, c2=0.12267108664437304 ..................
[CV]  c1=0.19298762260302502, c2=0.12267108664437304, score=0.699552 -   1.3s
[CV] c1=0.9097434029978592, c2=0.018841501451243435 ..................
[CV]  c1=0.9097434029978592, c2=0.018841501451243435, score=0.682343 -   1.5s
[CV] c1=0.010461008657073537, c2=0.007336848178064921 ................
[CV]  c1=0.010461008657073537, c2=0.007336848178064921, score=0.837219 -   1.6s
[CV] c1=0.7172838464033149, c2=0.010680005577733746 ..................
[CV]  c1=0.7172838464033149, c2=0.010680005577733746, score=0.714439 -   1.6s
[CV] c1=0.24654994757287474, c2=0.022801704648371984 .................
[CV]  c1=0.24654994757287474, c2=0.022801704648371984, score=0.903226 -   1.2s
[CV] c1=1.2848437415146248, c2=0.12600626725514577 ...................
[CV]  c1=1.2848437415146248, c2=0.12600626725514577, score=0.631586 -   1.3s
[CV] c1=0.8511399176895512, c2=0.026539428910746083 ..................
[CV]  c1=0.8511399176895512, c2=0.026539428910746083, score=0.704724 -   1.2s
[CV] c1=0.1377675329360087, c2=0.02010919657918883 ...................
[CV]  c1=0.1377675329360087, c2=0.02010919657918883, score=0.900088 -   1.6s
[CV] c1=0.18659043677377224, c2=0.0032911510418574077 ................
[CV]  c1=0.18659043677377224, c2=0.0032911510418574077, score=0.863332 -   1.5s
[CV] c1=0.1565876025238168, c2=0.15004918816569196 ...................
[CV]  c1=0.1565876025238168, c2=0.15004918816569196, score=0.861208 -   1.5s
[CV] c1=0.22176791594217735, c2=0.10335658564637112 ..................
[CV]  c1=0.22176791594217735, c2=0.10335658564637112, score=0.865502 -   1.6s
[CV] c1=0.360700875305914, c2=0.009425386632129181 ...................
[CV]  c1=0.360700875305914, c2=0.009425386632129181, score=0.839574 -   1.6s
[CV] c1=0.17705500640748303, c2=0.008486100908178534 .................
[CV]  c1=0.17705500640748303, c2=0.008486100908178534, score=0.861990 -   1.5s
[CV] c1=0.14327775563989922, c2=0.03952790875132714 ..................
[CV]  c1=0.14327775563989922, c2=0.03952790875132714, score=0.792724 -   1.7s
[CV] c1=0.35807597172206207, c2=0.0037203140653082178 ................
[CV]  c1=0.35807597172206207, c2=0.0037203140653082178, score=0.853618 -   1.5s
[CV] c1=0.4836153334824116, c2=0.0958798087262005 ....................
[CV]  c1=0.4836153334824116, c2=0.0958798087262005, score=0.811274 -   1.6s
[CV] c1=0.053496665039527706, c2=0.06929919121402651 .................
[CV]  c1=0.053496665039527706, c2=0.06929919121402651, score=0.876852 -   1.5s
[CV] c1=0.24654994757287474, c2=0.022801704648371984 .................
[CV]  c1=0.24654994757287474, c2=0.022801704648371984, score=0.809990 -   1.2s
Training done in: 21.683900s
     Saving training model...
        Saving training model done in: 0.014665s
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Prediction done in: 0.038740s