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

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Run13_v10.txt 72.6 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run13
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: TrueS4: True
Run variant: 10
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003645s
-------------------------------- 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    -2:lemma  culture
7   -2:postag      VBN
8    +2:lemma  minimal
9   +2:postag       JJ
10     -1:ner        _
11     +1:ner      MED
12     -2:ner        _
13     +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    -2:lemma     affyexp
7   -2:postag          JJ
8    +2:lemma     glucose
9   +2:postag          NN
10     -1:ner           _
11     +1:ner           _
12     -2:ner           _
13     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.44978207359610684, c2=0.007030405665927633 .................
[CV]  c1=0.44978207359610684, c2=0.007030405665927633, score=0.859059 -   1.5s
[CV] c1=1.2812932562966395, c2=0.024324001945485885 ..................
[CV]  c1=1.2812932562966395, c2=0.024324001945485885, score=0.636633 -   1.1s
[CV] c1=0.17055450221645896, c2=0.0121383624055699 ...................
[CV]  c1=0.17055450221645896, c2=0.0121383624055699, score=0.865479 -   1.3s
[CV] c1=0.43452290153142564, c2=0.040665475777856466 .................
[CV]  c1=0.43452290153142564, c2=0.040665475777856466, score=0.742728 -   1.1s
[CV] c1=0.5063132921012263, c2=0.015073688819414097 ..................
[CV]  c1=0.5063132921012263, c2=0.015073688819414097, score=0.872591 -   1.5s
[CV] c1=0.7162518877284689, c2=0.0168687050685107 ....................
[CV]  c1=0.7162518877284689, c2=0.0168687050685107, score=0.802980 -   1.4s
[CV] c1=0.1364259861254417, c2=0.09167902963728666 ...................
[CV]  c1=0.1364259861254417, c2=0.09167902963728666, score=0.816957 -   1.4s
[CV] c1=1.313437568442178, c2=0.023222528519631247 ...................
[CV]  c1=1.313437568442178, c2=0.023222528519631247, score=0.602252 -   1.1s
[CV] c1=1.1905195701711266, c2=0.033894208090240796 ..................
[CV]  c1=1.1905195701711266, c2=0.033894208090240796, score=0.616233 -   1.4s
[CV] c1=0.2918451258703866, c2=0.08574533277287386 ...................
[CV]  c1=0.2918451258703866, c2=0.08574533277287386, score=0.777110 -   1.4s
[CV] c1=0.825553680047217, c2=0.009019750929738472 ...................
[CV]  c1=0.825553680047217, c2=0.009019750929738472, score=0.878239 -   1.4s
[CV] c1=0.8032208471505141, c2=0.00489352727534193 ...................
[CV]  c1=0.8032208471505141, c2=0.00489352727534193, score=0.846853 -   1.3s
[CV] c1=0.5271196368223918, c2=0.040226706883744634 ..................
[CV]  c1=0.5271196368223918, c2=0.040226706883744634, score=0.780667 -   1.4s
[CV] c1=0.8076821732513326, c2=0.1262693742630252 ....................
[CV]  c1=0.8076821732513326, c2=0.1262693742630252, score=0.767539 -   1.2s
[CV] c1=1.559978331574007, c2=0.0035966924767255153 ..................
[CV]  c1=1.559978331574007, c2=0.0035966924767255153, score=0.625850 -   1.1s
[CV] c1=0.29570874970682404, c2=0.04263622024960976 ..................
[CV]  c1=0.29570874970682404, c2=0.04263622024960976, score=0.863073 -   1.3s
[CV] c1=0.8636074319496432, c2=0.04820499818252297 ...................
[CV]  c1=0.8636074319496432, c2=0.04820499818252297, score=0.694434 -   1.4s
[CV] c1=0.1229446906330316, c2=0.0655819469476886 ....................
[CV]  c1=0.1229446906330316, c2=0.0655819469476886, score=0.859063 -   1.3s
[CV] c1=0.01773904445394855, c2=0.021319599924240297 .................
[CV]  c1=0.01773904445394855, c2=0.021319599924240297, score=0.860385 -   1.3s
[CV] c1=0.154424645983409, c2=0.07795780902350002 ....................
[CV]  c1=0.154424645983409, c2=0.07795780902350002, score=0.738419 -   1.2s
[CV] c1=0.15026835901283445, c2=0.1295734100155496 ...................
[CV]  c1=0.15026835901283445, c2=0.1295734100155496, score=0.719376 -   1.1s
[CV] c1=1.924244902633413, c2=0.035250477638758895 ...................
[CV]  c1=1.924244902633413, c2=0.035250477638758895, score=0.663314 -   1.4s
[CV] c1=2.005972168500325, c2=0.09677713109990038 ....................
[CV]  c1=2.005972168500325, c2=0.09677713109990038, score=0.545108 -   1.4s
[CV] c1=0.2304675954396207, c2=0.006732245093937036 ..................
[CV]  c1=0.2304675954396207, c2=0.006732245093937036, score=0.788510 -   1.4s
[CV] c1=0.052098660479341904, c2=0.053715231694265356 ................
[CV]  c1=0.052098660479341904, c2=0.053715231694265356, score=0.860889 -   1.3s
[CV] c1=0.8076821732513326, c2=0.1262693742630252 ....................
[CV]  c1=0.8076821732513326, c2=0.1262693742630252, score=0.674881 -   1.3s
[CV] c1=1.559978331574007, c2=0.0035966924767255153 ..................
[CV]  c1=1.559978331574007, c2=0.0035966924767255153, score=0.708913 -   1.3s
[CV] c1=0.45732057757993966, c2=0.0022275091639478743 ................
[CV]  c1=0.45732057757993966, c2=0.0022275091639478743, score=0.885881 -   1.4s
[CV] c1=0.23161831522405027, c2=0.08978661431284085 ..................
[CV]  c1=0.23161831522405027, c2=0.08978661431284085, score=0.726718 -   1.1s
[CV] c1=0.1229446906330316, c2=0.0655819469476886 ....................
[CV]  c1=0.1229446906330316, c2=0.0655819469476886, score=0.719608 -   1.1s
[CV] c1=0.1960679229532571, c2=0.029394430493046127 ..................
[CV]  c1=0.1960679229532571, c2=0.029394430493046127, score=0.882516 -   1.4s
[CV] c1=1.313437568442178, c2=0.023222528519631247 ...................
[CV]  c1=1.313437568442178, c2=0.023222528519631247, score=0.572175 -   1.4s
[CV] c1=1.2773572669102324, c2=0.035465607434908994 ..................
[CV]  c1=1.2773572669102324, c2=0.035465607434908994, score=0.839446 -   1.3s
[CV] c1=0.011754135519352745, c2=0.013975117023798701 ................
[CV]  c1=0.011754135519352745, c2=0.013975117023798701, score=0.888377 -   1.4s
[CV] c1=1.3505837629684587, c2=0.008117155648419215 ..................
[CV]  c1=1.3505837629684587, c2=0.008117155648419215, score=0.839859 -   1.4s
[CV] c1=0.050260763783334564, c2=0.008778571538351888 ................
[CV]  c1=0.050260763783334564, c2=0.008778571538351888, score=0.889126 -   1.3s
[CV] c1=0.18947943261583963, c2=0.02446392969880974 ..................
[CV]  c1=0.18947943261583963, c2=0.02446392969880974, score=0.787173 -   1.4s
[CV] c1=0.5128646748872416, c2=0.03084479123169332 ...................
[CV]  c1=0.5128646748872416, c2=0.03084479123169332, score=0.745343 -   1.1s
[CV] c1=0.09055733479049301, c2=0.09597179925128704 ..................
[CV]  c1=0.09055733479049301, c2=0.09597179925128704, score=0.860889 -   1.3s
[CV] c1=1.4728786547037582, c2=0.0370794301948504 ....................
[CV]  c1=1.4728786547037582, c2=0.0370794301948504, score=0.727432 -   1.3s
[CV] c1=0.28874379895675517, c2=0.028458413854353742 .................
[CV]  c1=0.28874379895675517, c2=0.028458413854353742, score=0.760293 -   1.4s
[CV] c1=0.27988414878606593, c2=0.0515939269576975 ...................
[CV]  c1=0.27988414878606593, c2=0.0515939269576975, score=0.787829 -   1.5s
[CV] c1=0.7155198204385818, c2=0.05147089604437795 ...................
[CV]  c1=0.7155198204385818, c2=0.05147089604437795, score=0.702050 -   1.6s
[CV] c1=1.323783981481757, c2=0.19590029711339207 ....................
[CV]  c1=1.323783981481757, c2=0.19590029711339207, score=0.612579 -   1.6s
[CV] c1=0.047157391772731205, c2=0.00586313782732808 .................
[CV]  c1=0.047157391772731205, c2=0.00586313782732808, score=0.779973 -   1.4s
[CV] c1=0.7245406469202152, c2=0.03764607547428888 ...................
[CV]  c1=0.7245406469202152, c2=0.03764607547428888, score=0.700407 -   1.2s
[CV] c1=0.20157516050382573, c2=0.030151889686126615 .................
[CV]  c1=0.20157516050382573, c2=0.030151889686126615, score=0.787829 -   1.5s
[CV] c1=0.8032208471505141, c2=0.00489352727534193 ...................
[CV]  c1=0.8032208471505141, c2=0.00489352727534193, score=0.808602 -   1.3s
[CV] c1=0.3377623621657662, c2=0.01723369756224457 ...................
[CV]  c1=0.3377623621657662, c2=0.01723369756224457, score=0.892682 -   1.5s
[CV] c1=0.2375711367798608, c2=0.0701887717839691 ....................
[CV]  c1=0.2375711367798608, c2=0.0701887717839691, score=0.860889 -   1.2s
[CV] c1=0.17055450221645896, c2=0.0121383624055699 ...................
[CV]  c1=0.17055450221645896, c2=0.0121383624055699, score=0.809809 -   1.4s
[CV] c1=0.29570874970682404, c2=0.04263622024960976 ..................
[CV]  c1=0.29570874970682404, c2=0.04263622024960976, score=0.785161 -   1.4s
[CV] c1=0.8636074319496432, c2=0.04820499818252297 ...................
[CV]  c1=0.8636074319496432, c2=0.04820499818252297, score=0.644018 -   1.4s
[CV] c1=1.054659693521455, c2=0.004297388327323848 ...................
[CV]  c1=1.054659693521455, c2=0.004297388327323848, score=0.664281 -   1.4s
[CV] c1=0.8124852681728079, c2=0.006284764115213802 ..................
[CV]  c1=0.8124852681728079, c2=0.006284764115213802, score=0.792312 -   1.3s
[CV] c1=0.8596240059778637, c2=0.02664684761528017 ...................
[CV]  c1=0.8596240059778637, c2=0.02664684761528017, score=0.835640 -   1.3s
[CV] c1=1.2773572669102324, c2=0.035465607434908994 ..................
[CV]  c1=1.2773572669102324, c2=0.035465607434908994, score=0.574297 -   1.4s
[CV] c1=0.011754135519352745, c2=0.013975117023798701 ................
[CV]  c1=0.011754135519352745, c2=0.013975117023798701, score=0.829619 -   1.4s
[CV] c1=2.15624161747638, c2=0.014327677728630465 ....................
[CV]  c1=2.15624161747638, c2=0.014327677728630465, score=0.697290 -   1.3s
[CV] c1=0.9564605259645249, c2=0.030567989663744174 ..................
[CV]  c1=0.9564605259645249, c2=0.030567989663744174, score=0.689943 -   1.1s
[CV] c1=0.3377623621657662, c2=0.01723369756224457 ...................
[CV]  c1=0.3377623621657662, c2=0.01723369756224457, score=0.861227 -   1.3s
[CV] c1=0.2375711367798608, c2=0.0701887717839691 ....................
[CV]  c1=0.2375711367798608, c2=0.0701887717839691, score=0.785161 -   1.4s
[CV] c1=0.4141136679785059, c2=0.02017584077296297 ...................
[CV]  c1=0.4141136679785059, c2=0.02017584077296297, score=0.804012 -   1.4s
[CV] c1=0.3449961060689452, c2=0.0007756848493344994 .................
[CV]  c1=0.3449961060689452, c2=0.0007756848493344994, score=0.770876 -   1.1s
[CV] c1=1.1328485028013564, c2=0.09406486307493153 ...................
[CV]  c1=1.1328485028013564, c2=0.09406486307493153, score=0.604790 -   1.4s
[CV] c1=0.0727761395434009, c2=0.014841509598479678 ..................
[CV]  c1=0.0727761395434009, c2=0.014841509598479678, score=0.841701 -   1.3s
[CV] c1=0.1960679229532571, c2=0.029394430493046127 ..................
[CV]  c1=0.1960679229532571, c2=0.029394430493046127, score=0.863295 -   1.3s
[CV] c1=1.313437568442178, c2=0.023222528519631247 ...................
[CV]  c1=1.313437568442178, c2=0.023222528519631247, score=0.753347 -   1.3s
[CV] c1=0.15026835901283445, c2=0.1295734100155496 ...................
[CV]  c1=0.15026835901283445, c2=0.1295734100155496, score=0.858602 -   1.4s
[CV] c1=0.7245406469202152, c2=0.03764607547428888 ...................
[CV]  c1=0.7245406469202152, c2=0.03764607547428888, score=0.758388 -   1.4s
[CV] c1=1.3505837629684587, c2=0.008117155648419215 ..................
[CV]  c1=1.3505837629684587, c2=0.008117155648419215, score=0.627053 -   1.4s
[CV] c1=0.050260763783334564, c2=0.008778571538351888 ................
[CV]  c1=0.050260763783334564, c2=0.008778571538351888, score=0.855866 -   1.3s
[CV] c1=0.030265217512302857, c2=0.020733063493980127 ................
[CV]  c1=0.030265217512302857, c2=0.020733063493980127, score=0.754573 -   1.1s
[CV] c1=0.8738026699040272, c2=0.07716740417828886 ...................
[CV]  c1=0.8738026699040272, c2=0.07716740417828886, score=0.771852 -   1.3s
[CV] c1=0.2805799824217175, c2=0.059933543570293804 ..................
[CV]  c1=0.2805799824217175, c2=0.059933543570293804, score=0.780112 -   1.4s
[CV] c1=0.9557092346370866, c2=0.02658070114407142 ...................
[CV]  c1=0.9557092346370866, c2=0.02658070114407142, score=0.858300 -   1.3s
[CV] c1=0.04771793355265743, c2=0.13946102582302178 ..................
[CV]  c1=0.04771793355265743, c2=0.13946102582302178, score=0.888779 -   1.3s
[CV] c1=0.06275663859724571, c2=0.051035267028134795 .................
[CV]  c1=0.06275663859724571, c2=0.051035267028134795, score=0.860889 -   1.4s
[CV] c1=0.7155198204385818, c2=0.05147089604437795 ...................
[CV]  c1=0.7155198204385818, c2=0.05147089604437795, score=0.762798 -   1.5s
[CV] c1=1.323783981481757, c2=0.19590029711339207 ....................
[CV]  c1=1.323783981481757, c2=0.19590029711339207, score=0.797714 -   1.4s
[CV] c1=1.1905195701711266, c2=0.033894208090240796 ..................
[CV]  c1=1.1905195701711266, c2=0.033894208090240796, score=0.629734 -   1.5s
[CV] c1=0.2918451258703866, c2=0.08574533277287386 ...................
[CV]  c1=0.2918451258703866, c2=0.08574533277287386, score=0.897532 -   1.4s
[CV] c1=0.20157516050382573, c2=0.030151889686126615 .................
[CV]  c1=0.20157516050382573, c2=0.030151889686126615, score=0.888647 -   1.5s
[CV] c1=0.2304675954396207, c2=0.006732245093937036 ..................
[CV]  c1=0.2304675954396207, c2=0.006732245093937036, score=0.801479 -   1.5s
[CV] c1=0.030265217512302857, c2=0.020733063493980127 ................
[CV]  c1=0.030265217512302857, c2=0.020733063493980127, score=0.839684 -   1.3s
[CV] c1=0.06788411825067195, c2=0.1968245212791584 ...................
[CV]  c1=0.06788411825067195, c2=0.1968245212791584, score=0.805154 -   1.5s
[CV] c1=0.17055450221645896, c2=0.0121383624055699 ...................
[CV]  c1=0.17055450221645896, c2=0.0121383624055699, score=0.794035 -   1.4s
[CV] c1=0.29570874970682404, c2=0.04263622024960976 ..................
[CV]  c1=0.29570874970682404, c2=0.04263622024960976, score=0.883574 -   1.5s
[CV] c1=0.1409304041010846, c2=0.1781955393065239 ....................
[CV]  c1=0.1409304041010846, c2=0.1781955393065239, score=0.875197 -   1.5s
[CV] c1=0.3220144676325035, c2=0.0021844642147518024 .................
[CV]  c1=0.3220144676325035, c2=0.0021844642147518024, score=0.909197 -   1.4s
[CV] c1=0.15590428798440645, c2=0.016636201181464298 .................
[CV]  c1=0.15590428798440645, c2=0.016636201181464298, score=0.779150 -   1.1s
[CV] c1=0.154424645983409, c2=0.07795780902350002 ....................
[CV]  c1=0.154424645983409, c2=0.07795780902350002, score=0.772105 -   1.5s
[CV] c1=0.0081135145357925, c2=0.00608071174930484 ...................
[CV]  c1=0.0081135145357925, c2=0.00608071174930484, score=0.839750 -   1.3s
[CV] c1=0.15825463527672531, c2=0.014132519845446787 .................
[CV]  c1=0.15825463527672531, c2=0.014132519845446787, score=0.841701 -   1.4s
[CV] c1=0.3552126179837831, c2=0.004326085379197832 ..................
[CV]  c1=0.3552126179837831, c2=0.004326085379197832, score=0.891330 -   1.4s
[CV] c1=0.5639440473961335, c2=0.016277906805147405 ..................
[CV]  c1=0.5639440473961335, c2=0.016277906805147405, score=0.742006 -   1.1s
[CV] c1=0.18947943261583963, c2=0.02446392969880974 ..................
[CV]  c1=0.18947943261583963, c2=0.02446392969880974, score=0.861157 -   1.2s
[CV] c1=0.8738026699040272, c2=0.07716740417828886 ...................
[CV]  c1=0.8738026699040272, c2=0.07716740417828886, score=0.682179 -   1.4s
[CV] c1=0.2805799824217175, c2=0.059933543570293804 ..................
[CV]  c1=0.2805799824217175, c2=0.059933543570293804, score=0.785161 -   1.4s
[CV] c1=0.3092586848857195, c2=0.01949318577917585 ...................
[CV]  c1=0.3092586848857195, c2=0.01949318577917585, score=0.861227 -   1.3s
[CV] c1=0.3564594405059138, c2=0.037555825918790094 ..................
[CV]  c1=0.3564594405059138, c2=0.037555825918790094, score=0.856825 -   1.4s
[CV] c1=0.05318568891382186, c2=0.019261443877852925 .................
[CV]  c1=0.05318568891382186, c2=0.019261443877852925, score=0.886888 -   1.4s
[CV] c1=0.11061382607470398, c2=0.006271192799214388 .................
[CV]  c1=0.11061382607470398, c2=0.006271192799214388, score=0.838026 -   1.4s
[CV] c1=0.03371060003956147, c2=0.061385721328822175 .................
[CV]  c1=0.03371060003956147, c2=0.061385721328822175, score=0.774045 -   1.4s
[CV] c1=0.047157391772731205, c2=0.00586313782732808 .................
[CV]  c1=0.047157391772731205, c2=0.00586313782732808, score=0.786497 -   1.5s
[CV] c1=0.7245406469202152, c2=0.03764607547428888 ...................
[CV]  c1=0.7245406469202152, c2=0.03764607547428888, score=0.859772 -   1.4s
[CV] c1=0.825553680047217, c2=0.009019750929738472 ...................
[CV]  c1=0.825553680047217, c2=0.009019750929738472, score=0.692986 -   1.4s
[CV] c1=0.8032208471505141, c2=0.00489352727534193 ...................
[CV]  c1=0.8032208471505141, c2=0.00489352727534193, score=0.715598 -   1.5s
[CV] c1=0.5167985529392859, c2=0.022283310218086175 ..................
[CV]  c1=0.5167985529392859, c2=0.022283310218086175, score=0.723593 -   1.4s
[CV] c1=0.06788411825067195, c2=0.1968245212791584 ...................
[CV]  c1=0.06788411825067195, c2=0.1968245212791584, score=0.884500 -   1.6s
[CV] c1=0.4141136679785059, c2=0.02017584077296297 ...................
[CV]  c1=0.4141136679785059, c2=0.02017584077296297, score=0.887744 -   1.5s
[CV] c1=0.3449961060689452, c2=0.0007756848493344994 .................
[CV]  c1=0.3449961060689452, c2=0.0007756848493344994, score=0.889512 -   1.4s
[CV] c1=0.1409304041010846, c2=0.1781955393065239 ....................
[CV]  c1=0.1409304041010846, c2=0.1781955393065239, score=0.727548 -   1.1s
[CV] c1=0.1229446906330316, c2=0.0655819469476886 ....................
[CV]  c1=0.1229446906330316, c2=0.0655819469476886, score=0.883574 -   1.4s
[CV] c1=0.01773904445394855, c2=0.021319599924240297 .................
[CV]  c1=0.01773904445394855, c2=0.021319599924240297, score=0.808901 -   1.4s
[CV] c1=0.8596240059778637, c2=0.02664684761528017 ...................
[CV]  c1=0.8596240059778637, c2=0.02664684761528017, score=0.675243 -   1.1s
[CV] c1=0.15026835901283445, c2=0.1295734100155496 ...................
[CV]  c1=0.15026835901283445, c2=0.1295734100155496, score=0.772433 -   1.5s
[CV] c1=0.011754135519352745, c2=0.013975117023798701 ................
[CV]  c1=0.011754135519352745, c2=0.013975117023798701, score=0.796684 -   1.4s
[CV] c1=1.3505837629684587, c2=0.008117155648419215 ..................
[CV]  c1=1.3505837629684587, c2=0.008117155648419215, score=0.620811 -   1.5s
[CV] c1=0.9564605259645249, c2=0.030567989663744174 ..................
[CV]  c1=0.9564605259645249, c2=0.030567989663744174, score=0.670619 -   1.4s
[CV] c1=0.030265217512302857, c2=0.020733063493980127 ................
[CV]  c1=0.030265217512302857, c2=0.020733063493980127, score=0.829168 -   1.5s
[CV] c1=0.5862713550951433, c2=0.016955698765660644 ..................
[CV]  c1=0.5862713550951433, c2=0.016955698765660644, score=0.772558 -   1.4s
[CV] c1=0.4141136679785059, c2=0.02017584077296297 ...................
[CV]  c1=0.4141136679785059, c2=0.02017584077296297, score=0.750551 -   1.1s
[CV] c1=0.00461827978812201, c2=0.04620505988980125 ..................
[CV]  c1=0.00461827978812201, c2=0.04620505988980125, score=0.817098 -   1.4s
[CV] c1=1.1328485028013564, c2=0.09406486307493153 ...................
[CV]  c1=1.1328485028013564, c2=0.09406486307493153, score=0.620279 -   1.1s
[CV] c1=0.05318568891382186, c2=0.019261443877852925 .................
[CV]  c1=0.05318568891382186, c2=0.019261443877852925, score=0.829027 -   1.5s
[CV] c1=0.1364259861254417, c2=0.09167902963728666 ...................
[CV]  c1=0.1364259861254417, c2=0.09167902963728666, score=0.779447 -   1.4s
[CV] c1=0.03371060003956147, c2=0.061385721328822175 .................
[CV]  c1=0.03371060003956147, c2=0.061385721328822175, score=0.816957 -   1.4s
[CV] c1=0.15026835901283445, c2=0.1295734100155496 ...................
[CV]  c1=0.15026835901283445, c2=0.1295734100155496, score=0.766750 -   1.4s
[CV] c1=0.7245406469202152, c2=0.03764607547428888 ...................
[CV]  c1=0.7245406469202152, c2=0.03764607547428888, score=0.688813 -   1.5s
[CV] c1=0.825553680047217, c2=0.009019750929738472 ...................
[CV]  c1=0.825553680047217, c2=0.009019750929738472, score=0.718780 -   1.5s
[CV] c1=0.050260763783334564, c2=0.008778571538351888 ................
[CV]  c1=0.050260763783334564, c2=0.008778571538351888, score=0.818656 -   1.4s
[CV] c1=0.052098660479341904, c2=0.053715231694265356 ................
[CV]  c1=0.052098660479341904, c2=0.053715231694265356, score=0.829468 -   1.4s
[CV] c1=0.09055733479049301, c2=0.09597179925128704 ..................
[CV]  c1=0.09055733479049301, c2=0.09597179925128704, score=0.888779 -   1.3s
[CV] c1=1.4728786547037582, c2=0.0370794301948504 ....................
[CV]  c1=1.4728786547037582, c2=0.0370794301948504, score=0.813608 -   1.4s
[CV] c1=0.28874379895675517, c2=0.028458413854353742 .................
[CV]  c1=0.28874379895675517, c2=0.028458413854353742, score=0.889512 -   1.4s
[CV] c1=0.27988414878606593, c2=0.0515939269576975 ...................
[CV]  c1=0.27988414878606593, c2=0.0515939269576975, score=0.889467 -   1.3s
[CV] c1=0.3220144676325035, c2=0.0021844642147518024 .................
[CV]  c1=0.3220144676325035, c2=0.0021844642147518024, score=0.854158 -   1.4s
[CV] c1=0.15590428798440645, c2=0.016636201181464298 .................
[CV]  c1=0.15590428798440645, c2=0.016636201181464298, score=0.796160 -   1.5s
[CV] c1=0.6829007776249547, c2=0.0643953903327892 ....................
[CV]  c1=0.6829007776249547, c2=0.0643953903327892, score=0.790185 -   1.4s
[CV] c1=0.8939689899331903, c2=0.04493544839334582 ...................
[CV]  c1=0.8939689899331903, c2=0.04493544839334582, score=0.787211 -   1.3s
[CV] c1=0.1639784405109876, c2=0.012615045020210384 ..................
[CV]  c1=0.1639784405109876, c2=0.012615045020210384, score=0.774070 -   1.2s
[CV] c1=2.15624161747638, c2=0.014327677728630465 ....................
[CV]  c1=2.15624161747638, c2=0.014327677728630465, score=0.535004 -   1.4s
[CV] c1=0.5639440473961335, c2=0.016277906805147405 ..................
[CV]  c1=0.5639440473961335, c2=0.016277906805147405, score=0.870302 -   1.2s
[CV] c1=0.5167985529392859, c2=0.022283310218086175 ..................
[CV]  c1=0.5167985529392859, c2=0.022283310218086175, score=0.821348 -   1.3s
[CV] c1=0.5128646748872416, c2=0.03084479123169332 ...................
[CV]  c1=0.5128646748872416, c2=0.03084479123169332, score=0.712565 -   1.5s
[CV] c1=0.3274730671599215, c2=0.13333075681848328 ...................
[CV]  c1=0.3274730671599215, c2=0.13333075681848328, score=0.728490 -   1.4s
[CV] c1=0.43452290153142564, c2=0.040665475777856466 .................
[CV]  c1=0.43452290153142564, c2=0.040665475777856466, score=0.879019 -   1.4s
[CV] c1=1.1328485028013564, c2=0.09406486307493153 ...................
[CV]  c1=1.1328485028013564, c2=0.09406486307493153, score=0.626212 -   1.6s
[CV] c1=0.1229446906330316, c2=0.0655819469476886 ....................
[CV]  c1=0.1229446906330316, c2=0.0655819469476886, score=0.779123 -   1.4s
[CV] c1=0.01773904445394855, c2=0.021319599924240297 .................
[CV]  c1=0.01773904445394855, c2=0.021319599924240297, score=0.819303 -   1.4s
[CV] c1=0.8596240059778637, c2=0.02664684761528017 ...................
[CV]  c1=0.8596240059778637, c2=0.02664684761528017, score=0.784938 -   1.5s
[CV] c1=0.3529331694177298, c2=0.010280084769947274 ..................
[CV]  c1=0.3529331694177298, c2=0.010280084769947274, score=0.887649 -   1.4s
[CV] c1=1.2705563537048108, c2=0.03886619210106995 ...................
[CV]  c1=1.2705563537048108, c2=0.03886619210106995, score=0.650041 -   1.3s
[CV] c1=2.15624161747638, c2=0.014327677728630465 ....................
[CV]  c1=2.15624161747638, c2=0.014327677728630465, score=0.658339 -   1.3s
[CV] c1=0.9564605259645249, c2=0.030567989663744174 ..................
[CV]  c1=0.9564605259645249, c2=0.030567989663744174, score=0.777821 -   1.3s
[CV] c1=0.041440164469444325, c2=0.0013682627716993688 ...............
[CV]  c1=0.041440164469444325, c2=0.0013682627716993688, score=0.785032 -   0.8s
[CV] c1=1.271780473043481, c2=0.03955857950022479 ....................
[CV]  c1=1.271780473043481, c2=0.03955857950022479, score=0.841710 -   1.4s
[CV] c1=0.09055733479049301, c2=0.09597179925128704 ..................
[CV]  c1=0.09055733479049301, c2=0.09597179925128704, score=0.719778 -   1.0s
[CV] c1=0.6347975772085124, c2=0.004082523673875742 ..................
[CV]  c1=0.6347975772085124, c2=0.004082523673875742, score=0.891118 -   1.3s
[CV] c1=0.29570874970682404, c2=0.04263622024960976 ..................
[CV]  c1=0.29570874970682404, c2=0.04263622024960976, score=0.796580 -   1.5s
[CV] c1=0.1409304041010846, c2=0.1781955393065239 ....................
[CV]  c1=0.1409304041010846, c2=0.1781955393065239, score=0.750674 -   1.4s
[CV] c1=0.3220144676325035, c2=0.0021844642147518024 .................
[CV]  c1=0.3220144676325035, c2=0.0021844642147518024, score=0.775020 -   1.2s
[CV] c1=0.8124852681728079, c2=0.006284764115213802 ..................
[CV]  c1=0.8124852681728079, c2=0.006284764115213802, score=0.739074 -   1.2s
[CV] c1=0.154424645983409, c2=0.07795780902350002 ....................
[CV]  c1=0.154424645983409, c2=0.07795780902350002, score=0.856508 -   1.3s
[CV] c1=1.2773572669102324, c2=0.035465607434908994 ..................
[CV]  c1=1.2773572669102324, c2=0.035465607434908994, score=0.717975 -   1.5s
[CV] c1=0.15825463527672531, c2=0.014132519845446787 .................
[CV]  c1=0.15825463527672531, c2=0.014132519845446787, score=0.790857 -   1.4s
[CV] c1=2.15624161747638, c2=0.014327677728630465 ....................
[CV]  c1=2.15624161747638, c2=0.014327677728630465, score=0.582038 -   1.5s
[CV] c1=0.5639440473961335, c2=0.016277906805147405 ..................
[CV]  c1=0.5639440473961335, c2=0.016277906805147405, score=0.714856 -   1.3s
[CV] c1=0.041440164469444325, c2=0.0013682627716993688 ...............
[CV]  c1=0.041440164469444325, c2=0.0013682627716993688, score=0.794541 -   1.2s
[CV] c1=0.8738026699040272, c2=0.07716740417828886 ...................
[CV]  c1=0.8738026699040272, c2=0.07716740417828886, score=0.672361 -   1.1s
[CV] c1=0.09055733479049301, c2=0.09597179925128704 ..................
[CV]  c1=0.09055733479049301, c2=0.09597179925128704, score=0.774212 -   1.5s
[CV] c1=1.4728786547037582, c2=0.0370794301948504 ....................
[CV]  c1=1.4728786547037582, c2=0.0370794301948504, score=0.617512 -   1.5s
[CV] c1=0.28874379895675517, c2=0.028458413854353742 .................
[CV]  c1=0.28874379895675517, c2=0.028458413854353742, score=0.787829 -   1.5s
[CV] c1=0.06275663859724571, c2=0.051035267028134795 .................
[CV]  c1=0.06275663859724571, c2=0.051035267028134795, score=0.795837 -   1.4s
[CV] c1=0.11061382607470398, c2=0.006271192799214388 .................
[CV]  c1=0.11061382607470398, c2=0.006271192799214388, score=0.879960 -   1.5s
[CV] c1=1.323783981481757, c2=0.19590029711339207 ....................
[CV]  c1=1.323783981481757, c2=0.19590029711339207, score=0.601206 -   1.1s
[CV] c1=0.19099453597313035, c2=0.0020509087170529883 ................
[CV]  c1=0.19099453597313035, c2=0.0020509087170529883, score=0.763551 -   1.1s
[CV] c1=0.3529331694177298, c2=0.010280084769947274 ..................
[CV]  c1=0.3529331694177298, c2=0.010280084769947274, score=0.863073 -   1.4s
[CV] c1=1.2705563537048108, c2=0.03886619210106995 ...................
[CV]  c1=1.2705563537048108, c2=0.03886619210106995, score=0.571085 -   1.5s
[CV] c1=0.010069535539628614, c2=0.0039022725118254033 ...............
[CV]  c1=0.010069535539628614, c2=0.0039022725118254033, score=0.843591 -   1.3s
[CV] c1=0.250697382244137, c2=0.03476013083170509 ....................
[CV]  c1=0.250697382244137, c2=0.03476013083170509, score=0.783297 -   1.0s
[CV] c1=0.041440164469444325, c2=0.0013682627716993688 ...............
[CV]  c1=0.041440164469444325, c2=0.0013682627716993688, score=0.767309 -   1.1s
[CV] c1=1.271780473043481, c2=0.03955857950022479 ....................
[CV]  c1=1.271780473043481, c2=0.03955857950022479, score=0.717975 -   1.5s
[CV] c1=0.2805799824217175, c2=0.059933543570293804 ..................
[CV]  c1=0.2805799824217175, c2=0.059933543570293804, score=0.863073 -   1.5s
[CV] c1=0.9557092346370866, c2=0.02658070114407142 ...................
[CV]  c1=0.9557092346370866, c2=0.02658070114407142, score=0.685049 -   1.1s
[CV] c1=0.3564594405059138, c2=0.037555825918790094 ..................
[CV]  c1=0.3564594405059138, c2=0.037555825918790094, score=0.891912 -   1.5s
[CV] c1=0.06275663859724571, c2=0.051035267028134795 .................
[CV]  c1=0.06275663859724571, c2=0.051035267028134795, score=0.745160 -   1.1s
[CV] c1=0.711381340266663, c2=0.01455123705702888 ....................
[CV]  c1=0.711381340266663, c2=0.01455123705702888, score=0.769785 -   1.3s
[CV] c1=0.15590428798440645, c2=0.016636201181464298 .................
[CV]  c1=0.15590428798440645, c2=0.016636201181464298, score=0.788844 -   1.4s
[CV] c1=0.6829007776249547, c2=0.0643953903327892 ....................
[CV]  c1=0.6829007776249547, c2=0.0643953903327892, score=0.856239 -   1.4s
[CV] c1=0.8939689899331903, c2=0.04493544839334582 ...................
[CV]  c1=0.8939689899331903, c2=0.04493544839334582, score=0.655492 -   1.2s
[CV] c1=1.2705563537048108, c2=0.03886619210106995 ...................
[CV]  c1=1.2705563537048108, c2=0.03886619210106995, score=0.841978 -   1.5s
[CV] c1=0.3552126179837831, c2=0.004326085379197832 ..................
[CV]  c1=0.3552126179837831, c2=0.004326085379197832, score=0.861227 -   1.3s
[CV] c1=0.5639440473961335, c2=0.016277906805147405 ..................
[CV]  c1=0.5639440473961335, c2=0.016277906805147405, score=0.825661 -   1.2s
[CV] c1=0.18947943261583963, c2=0.02446392969880974 ..................
[CV]  c1=0.18947943261583963, c2=0.02446392969880974, score=0.885686 -   1.3s
[CV] c1=0.5128646748872416, c2=0.03084479123169332 ...................
[CV]  c1=0.5128646748872416, c2=0.03084479123169332, score=0.869955 -   1.4s
[CV] c1=0.3274730671599215, c2=0.13333075681848328 ...................
[CV]  c1=0.3274730671599215, c2=0.13333075681848328, score=0.861695 -   1.4s
[CV] c1=0.00461827978812201, c2=0.04620505988980125 ..................
[CV]  c1=0.00461827978812201, c2=0.04620505988980125, score=0.861998 -   1.3s
[CV] c1=0.5063132921012263, c2=0.015073688819414097 ..................
[CV]  c1=0.5063132921012263, c2=0.015073688819414097, score=0.836264 -   1.4s
[CV] c1=0.0727761395434009, c2=0.014841509598479678 ..................
[CV]  c1=0.0727761395434009, c2=0.014841509598479678, score=0.889954 -   1.4s
[CV] c1=0.1960679229532571, c2=0.029394430493046127 ..................
[CV]  c1=0.1960679229532571, c2=0.029394430493046127, score=0.785161 -   1.5s
[CV] c1=0.154424645983409, c2=0.07795780902350002 ....................
[CV]  c1=0.154424645983409, c2=0.07795780902350002, score=0.883574 -   1.7s
[CV] c1=0.0081135145357925, c2=0.00608071174930484 ...................
[CV]  c1=0.0081135145357925, c2=0.00608071174930484, score=0.817098 -   1.5s
[CV] c1=1.2705563537048108, c2=0.03886619210106995 ...................
[CV]  c1=1.2705563537048108, c2=0.03886619210106995, score=0.614791 -   1.6s
[CV] c1=0.010069535539628614, c2=0.0039022725118254033 ...............
[CV]  c1=0.010069535539628614, c2=0.0039022725118254033, score=0.756940 -   1.0s
[CV] c1=0.9564605259645249, c2=0.030567989663744174 ..................
[CV]  c1=0.9564605259645249, c2=0.030567989663744174, score=0.643805 -   1.5s
[CV] c1=0.3377623621657662, c2=0.01723369756224457 ...................
[CV]  c1=0.3377623621657662, c2=0.01723369756224457, score=0.801479 -   1.5s
[CV] c1=1.2812932562966395, c2=0.024324001945485885 ..................
[CV]  c1=1.2812932562966395, c2=0.024324001945485885, score=0.610103 -   1.4s
[CV] c1=1.559978331574007, c2=0.0035966924767255153 ..................
[CV]  c1=1.559978331574007, c2=0.0035966924767255153, score=0.552967 -   1.4s
[CV] c1=0.28874379895675517, c2=0.028458413854353742 .................
[CV]  c1=0.28874379895675517, c2=0.028458413854353742, score=0.780104 -   1.1s
[CV] c1=0.1409304041010846, c2=0.1781955393065239 ....................
[CV]  c1=0.1409304041010846, c2=0.1781955393065239, score=0.754985 -   1.4s
[CV] c1=1.054659693521455, c2=0.004297388327323848 ...................
[CV]  c1=1.054659693521455, c2=0.004297388327323848, score=0.640041 -   1.4s
[CV] c1=0.15590428798440645, c2=0.016636201181464298 .................
[CV]  c1=0.15590428798440645, c2=0.016636201181464298, score=0.887720 -   1.4s
[CV] c1=0.6919131392566366, c2=0.025275615196406795 ..................
[CV]  c1=0.6919131392566366, c2=0.025275615196406795, score=0.733891 -   1.1s
[CV] c1=1.2773572669102324, c2=0.035465607434908994 ..................
[CV]  c1=1.2773572669102324, c2=0.035465607434908994, score=0.616896 -   1.5s
[CV] c1=0.15825463527672531, c2=0.014132519845446787 .................
[CV]  c1=0.15825463527672531, c2=0.014132519845446787, score=0.781777 -   1.1s
[CV] c1=0.825553680047217, c2=0.009019750929738472 ...................
[CV]  c1=0.825553680047217, c2=0.009019750929738472, score=0.789410 -   1.3s
[CV] c1=0.8032208471505141, c2=0.00489352727534193 ...................
[CV]  c1=0.8032208471505141, c2=0.00489352727534193, score=0.690658 -   1.4s
[CV] c1=0.18947943261583963, c2=0.02446392969880974 ..................
[CV]  c1=0.18947943261583963, c2=0.02446392969880974, score=0.785185 -   0.9s
[CV] c1=1.271780473043481, c2=0.03955857950022479 ....................
[CV]  c1=1.271780473043481, c2=0.03955857950022479, score=0.585570 -   1.1s
[CV] c1=0.8076821732513326, c2=0.1262693742630252 ....................
[CV]  c1=0.8076821732513326, c2=0.1262693742630252, score=0.639407 -   1.3s
[CV] c1=1.559978331574007, c2=0.0035966924767255153 ..................
[CV]  c1=1.559978331574007, c2=0.0035966924767255153, score=0.814093 -   1.3s
[CV] c1=0.3449961060689452, c2=0.0007756848493344994 .................
[CV]  c1=0.3449961060689452, c2=0.0007756848493344994, score=0.798660 -   1.4s
[CV] c1=0.23161831522405027, c2=0.08978661431284085 ..................
[CV]  c1=0.23161831522405027, c2=0.08978661431284085, score=0.897248 -   1.5s
[CV] c1=0.3220144676325035, c2=0.0021844642147518024 .................
[CV]  c1=0.3220144676325035, c2=0.0021844642147518024, score=0.781833 -   1.5s
[CV] c1=0.5127577126075684, c2=0.0234258166384996 ....................
[CV]  c1=0.5127577126075684, c2=0.0234258166384996, score=0.777036 -   1.0s
[CV] c1=0.6919131392566366, c2=0.025275615196406795 ..................
[CV]  c1=0.6919131392566366, c2=0.025275615196406795, score=0.875789 -   1.3s
[CV] c1=0.0081135145357925, c2=0.00608071174930484 ...................
[CV]  c1=0.0081135145357925, c2=0.00608071174930484, score=0.812283 -   1.4s
[CV] c1=0.15825463527672531, c2=0.014132519845446787 .................
[CV]  c1=0.15825463527672531, c2=0.014132519845446787, score=0.796160 -   1.4s
[CV] c1=0.3552126179837831, c2=0.004326085379197832 ..................
[CV]  c1=0.3552126179837831, c2=0.004326085379197832, score=0.781059 -   1.1s
[CV] c1=0.9564605259645249, c2=0.030567989663744174 ..................
[CV]  c1=0.9564605259645249, c2=0.030567989663744174, score=0.845997 -   1.4s
[CV] c1=0.44978207359610684, c2=0.007030405665927633 .................
[CV]  c1=0.44978207359610684, c2=0.007030405665927633, score=0.741214 -   1.4s
[CV] c1=0.2375711367798608, c2=0.0701887717839691 ....................
[CV]  c1=0.2375711367798608, c2=0.0701887717839691, score=0.877101 -   1.4s
[CV] c1=0.4141136679785059, c2=0.02017584077296297 ...................
[CV]  c1=0.4141136679785059, c2=0.02017584077296297, score=0.856019 -   1.3s
[CV] c1=0.29570874970682404, c2=0.04263622024960976 ..................
[CV]  c1=0.29570874970682404, c2=0.04263622024960976, score=0.754707 -   1.2s
[CV] c1=1.1328485028013564, c2=0.09406486307493153 ...................
[CV]  c1=1.1328485028013564, c2=0.09406486307493153, score=0.752133 -   1.3s
[CV] c1=0.0727761395434009, c2=0.014841509598479678 ..................
[CV]  c1=0.0727761395434009, c2=0.014841509598479678, score=0.793246 -   1.4s
[CV] c1=0.01773904445394855, c2=0.021319599924240297 .................
[CV]  c1=0.01773904445394855, c2=0.021319599924240297, score=0.893581 -   1.4s
[CV] c1=0.154424645983409, c2=0.07795780902350002 ....................
[CV]  c1=0.154424645983409, c2=0.07795780902350002, score=0.779123 -   1.5s
[CV] c1=0.0081135145357925, c2=0.00608071174930484 ...................
[CV]  c1=0.0081135145357925, c2=0.00608071174930484, score=0.861596 -   1.4s
[CV] c1=0.15825463527672531, c2=0.014132519845446787 .................
[CV]  c1=0.15825463527672531, c2=0.014132519845446787, score=0.887720 -   1.4s
[CV] c1=2.15624161747638, c2=0.014327677728630465 ....................
[CV]  c1=2.15624161747638, c2=0.014327677728630465, score=0.596740 -   1.1s
[CV] c1=0.050260763783334564, c2=0.008778571538351888 ................
[CV]  c1=0.050260763783334564, c2=0.008778571538351888, score=0.800547 -   1.4s
[CV] c1=0.5167985529392859, c2=0.022283310218086175 ..................
[CV]  c1=0.5167985529392859, c2=0.022283310218086175, score=0.865867 -   1.3s
[CV] c1=0.5128646748872416, c2=0.03084479123169332 ...................
[CV]  c1=0.5128646748872416, c2=0.03084479123169332, score=0.828554 -   1.5s
[CV] c1=0.3274730671599215, c2=0.13333075681848328 ...................
[CV]  c1=0.3274730671599215, c2=0.13333075681848328, score=0.777148 -   1.4s
[CV] c1=0.43452290153142564, c2=0.040665475777856466 .................
[CV]  c1=0.43452290153142564, c2=0.040665475777856466, score=0.791204 -   1.5s
[CV] c1=0.8636074319496432, c2=0.04820499818252297 ...................
[CV]  c1=0.8636074319496432, c2=0.04820499818252297, score=0.771852 -   1.5s
[CV] c1=1.054659693521455, c2=0.004297388327323848 ...................
[CV]  c1=1.054659693521455, c2=0.004297388327323848, score=0.786069 -   1.4s
[CV] c1=0.8124852681728079, c2=0.006284764115213802 ..................
[CV]  c1=0.8124852681728079, c2=0.006284764115213802, score=0.712868 -   1.5s
[CV] c1=0.6919131392566366, c2=0.025275615196406795 ..................
[CV]  c1=0.6919131392566366, c2=0.025275615196406795, score=0.700389 -   1.5s
[CV] c1=0.8939689899331903, c2=0.04493544839334582 ...................
[CV]  c1=0.8939689899331903, c2=0.04493544839334582, score=0.834152 -   1.5s
[CV] c1=0.1639784405109876, c2=0.012615045020210384 ..................
[CV]  c1=0.1639784405109876, c2=0.012615045020210384, score=0.853597 -   1.3s
[CV] c1=0.010069535539628614, c2=0.0039022725118254033 ...............
[CV]  c1=0.010069535539628614, c2=0.0039022725118254033, score=0.885343 -   1.4s
[CV] c1=0.250697382244137, c2=0.03476013083170509 ....................
[CV]  c1=0.250697382244137, c2=0.03476013083170509, score=0.860889 -   1.1s
[CV] c1=0.5271196368223918, c2=0.040226706883744634 ..................
[CV]  c1=0.5271196368223918, c2=0.040226706883744634, score=0.810036 -   1.4s
[CV] c1=1.2812932562966395, c2=0.024324001945485885 ..................
[CV]  c1=1.2812932562966395, c2=0.024324001945485885, score=0.615546 -   1.4s
[CV] c1=0.6347975772085124, c2=0.004082523673875742 ..................
[CV]  c1=0.6347975772085124, c2=0.004082523673875742, score=0.806794 -   1.4s
[CV] c1=0.45732057757993966, c2=0.0022275091639478743 ................
[CV]  c1=0.45732057757993966, c2=0.0022275091639478743, score=0.757912 -   1.4s
[CV] c1=0.23161831522405027, c2=0.08978661431284085 ..................
[CV]  c1=0.23161831522405027, c2=0.08978661431284085, score=0.860518 -   1.3s
[CV] c1=0.3220144676325035, c2=0.0021844642147518024 .................
[CV]  c1=0.3220144676325035, c2=0.0021844642147518024, score=0.786384 -   1.5s
[CV] c1=0.5127577126075684, c2=0.0234258166384996 ....................
[CV]  c1=0.5127577126075684, c2=0.0234258166384996, score=0.895383 -   1.4s
[CV] c1=0.6829007776249547, c2=0.0643953903327892 ....................
[CV]  c1=0.6829007776249547, c2=0.0643953903327892, score=0.702050 -   1.4s
[CV] c1=0.8939689899331903, c2=0.04493544839334582 ...................
[CV]  c1=0.8939689899331903, c2=0.04493544839334582, score=0.646005 -   1.4s
[CV] c1=0.07937959268797148, c2=0.050257676011509 ....................
[CV]  c1=0.07937959268797148, c2=0.050257676011509, score=0.745160 -   1.2s
[CV] c1=0.3552126179837831, c2=0.004326085379197832 ..................
[CV]  c1=0.3552126179837831, c2=0.004326085379197832, score=0.804012 -   1.4s
[CV] c1=0.250697382244137, c2=0.03476013083170509 ....................
[CV]  c1=0.250697382244137, c2=0.03476013083170509, score=0.784827 -   1.2s
[CV] c1=0.44978207359610684, c2=0.007030405665927633 .................
[CV]  c1=0.44978207359610684, c2=0.007030405665927633, score=0.875007 -   1.4s
[CV] c1=0.5862713550951433, c2=0.016955698765660644 ..................
[CV]  c1=0.5862713550951433, c2=0.016955698765660644, score=0.772320 -   1.1s
[CV] c1=0.6882470576189079, c2=0.013827890488577972 ..................
[CV]  c1=0.6882470576189079, c2=0.013827890488577972, score=0.804794 -   1.3s
[CV] c1=0.9557092346370866, c2=0.02658070114407142 ...................
[CV]  c1=0.9557092346370866, c2=0.02658070114407142, score=0.789410 -   1.3s
[CV] c1=0.04771793355265743, c2=0.13946102582302178 ..................
[CV]  c1=0.04771793355265743, c2=0.13946102582302178, score=0.859963 -   1.3s
[CV] c1=0.05318568891382186, c2=0.019261443877852925 .................
[CV]  c1=0.05318568891382186, c2=0.019261443877852925, score=0.773498 -   1.1s
[CV] c1=0.7155198204385818, c2=0.05147089604437795 ...................
[CV]  c1=0.7155198204385818, c2=0.05147089604437795, score=0.687143 -   1.2s
[CV] c1=0.15590428798440645, c2=0.016636201181464298 .................
[CV]  c1=0.15590428798440645, c2=0.016636201181464298, score=0.863073 -   1.3s
[CV] c1=0.6919131392566366, c2=0.025275615196406795 ..................
[CV]  c1=0.6919131392566366, c2=0.025275615196406795, score=0.775433 -   1.5s
[CV] c1=0.8939689899331903, c2=0.04493544839334582 ...................
[CV]  c1=0.8939689899331903, c2=0.04493544839334582, score=0.685812 -   1.5s
[CV] c1=0.07937959268797148, c2=0.050257676011509 ....................
[CV]  c1=0.07937959268797148, c2=0.050257676011509, score=0.895362 -   1.4s
[CV] c1=0.12748041597687057, c2=0.05690084209733585 ..................
[CV]  c1=0.12748041597687057, c2=0.05690084209733585, score=0.755031 -   1.1s
[CV] c1=0.250697382244137, c2=0.03476013083170509 ....................
[CV]  c1=0.250697382244137, c2=0.03476013083170509, score=0.885609 -   1.3s
[CV] c1=0.3377623621657662, c2=0.01723369756224457 ...................
[CV]  c1=0.3377623621657662, c2=0.01723369756224457, score=0.782346 -   1.1s
[CV] c1=0.06788411825067195, c2=0.1968245212791584 ...................
[CV]  c1=0.06788411825067195, c2=0.1968245212791584, score=0.767972 -   1.3s
[CV] c1=0.3274730671599215, c2=0.13333075681848328 ...................
[CV]  c1=0.3274730671599215, c2=0.13333075681848328, score=0.699545 -   1.2s
[CV] c1=0.3092586848857195, c2=0.01949318577917585 ...................
[CV]  c1=0.3092586848857195, c2=0.01949318577917585, score=0.833546 -   1.4s
[CV] c1=0.04771793355265743, c2=0.13946102582302178 ..................
[CV]  c1=0.04771793355265743, c2=0.13946102582302178, score=0.739739 -   1.1s
[CV] c1=0.06275663859724571, c2=0.051035267028134795 .................
[CV]  c1=0.06275663859724571, c2=0.051035267028134795, score=0.888779 -   1.3s
[CV] c1=0.7155198204385818, c2=0.05147089604437795 ...................
[CV]  c1=0.7155198204385818, c2=0.05147089604437795, score=0.851344 -   1.4s
[CV] c1=0.9456980394249963, c2=0.1106237222039058 ....................
[CV]  c1=0.9456980394249963, c2=0.1106237222039058, score=0.834580 -   1.4s
[CV] c1=0.19099453597313035, c2=0.0020509087170529883 ................
[CV]  c1=0.19099453597313035, c2=0.0020509087170529883, score=0.882944 -   1.4s
[CV] c1=0.04266287086601511, c2=0.03383496372998509 ..................
[CV]  c1=0.04266287086601511, c2=0.03383496372998509, score=0.746045 -   1.1s
[CV] c1=1.2705563537048108, c2=0.03886619210106995 ...................
[CV]  c1=1.2705563537048108, c2=0.03886619210106995, score=0.716699 -   1.3s
[CV] c1=0.3552126179837831, c2=0.004326085379197832 ..................
[CV]  c1=0.3552126179837831, c2=0.004326085379197832, score=0.754644 -   1.5s
[CV] c1=0.5639440473961335, c2=0.016277906805147405 ..................
[CV]  c1=0.5639440473961335, c2=0.016277906805147405, score=0.795451 -   1.3s
[CV] c1=0.3377623621657662, c2=0.01723369756224457 ...................
[CV]  c1=0.3377623621657662, c2=0.01723369756224457, score=0.762222 -   1.5s
[CV] c1=0.2375711367798608, c2=0.0701887717839691 ....................
[CV]  c1=0.2375711367798608, c2=0.0701887717839691, score=0.787829 -   1.4s
[CV] c1=0.6347975772085124, c2=0.004082523673875742 ..................
[CV]  c1=0.6347975772085124, c2=0.004082523673875742, score=0.808190 -   1.3s
[CV] c1=0.3449961060689452, c2=0.0007756848493344994 .................
[CV]  c1=0.3449961060689452, c2=0.0007756848493344994, score=0.866567 -   1.4s
[CV] c1=0.1409304041010846, c2=0.1781955393065239 ....................
[CV]  c1=0.1409304041010846, c2=0.1781955393065239, score=0.852199 -   1.3s
[CV] c1=1.054659693521455, c2=0.004297388327323848 ...................
[CV]  c1=1.054659693521455, c2=0.004297388327323848, score=0.686179 -   1.1s
[CV] c1=0.1960679229532571, c2=0.029394430493046127 ..................
[CV]  c1=0.1960679229532571, c2=0.029394430493046127, score=0.828690 -   1.3s
[CV] c1=1.313437568442178, c2=0.023222528519631247 ...................
[CV]  c1=1.313437568442178, c2=0.023222528519631247, score=0.620114 -   1.5s
[CV] c1=1.2773572669102324, c2=0.035465607434908994 ..................
[CV]  c1=1.2773572669102324, c2=0.035465607434908994, score=0.642711 -   1.1s
[CV] c1=0.2918451258703866, c2=0.08574533277287386 ...................
[CV]  c1=0.2918451258703866, c2=0.08574533277287386, score=0.779347 -   1.3s
[CV] c1=0.20157516050382573, c2=0.030151889686126615 .................
[CV]  c1=0.20157516050382573, c2=0.030151889686126615, score=0.863073 -   1.3s
[CV] c1=0.2304675954396207, c2=0.006732245093937036 ..................
[CV]  c1=0.2304675954396207, c2=0.006732245093937036, score=0.765359 -   1.2s
[CV] c1=0.11236550010314551, c2=0.01856048180076575 ..................
[CV]  c1=0.11236550010314551, c2=0.01856048180076575, score=0.784572 -   0.8s
[CV] c1=0.052098660479341904, c2=0.053715231694265356 ................
[CV]  c1=0.052098660479341904, c2=0.053715231694265356, score=0.738257 -   1.1s
[CV] c1=0.5862713550951433, c2=0.016955698765660644 ..................
[CV]  c1=0.5862713550951433, c2=0.016955698765660644, score=0.719101 -   1.5s
[CV] c1=0.4141136679785059, c2=0.02017584077296297 ...................
[CV]  c1=0.4141136679785059, c2=0.02017584077296297, score=0.764527 -   1.5s
[CV] c1=0.3449961060689452, c2=0.0007756848493344994 .................
[CV]  c1=0.3449961060689452, c2=0.0007756848493344994, score=0.773128 -   1.4s
[CV] c1=0.23161831522405027, c2=0.08978661431284085 ..................
[CV]  c1=0.23161831522405027, c2=0.08978661431284085, score=0.777110 -   1.5s
[CV] c1=0.711381340266663, c2=0.01455123705702888 ....................
[CV]  c1=0.711381340266663, c2=0.01455123705702888, score=0.883874 -   1.5s
[CV] c1=0.5127577126075684, c2=0.0234258166384996 ....................
[CV]  c1=0.5127577126075684, c2=0.0234258166384996, score=0.790041 -   1.5s
[CV] c1=0.19099453597313035, c2=0.0020509087170529883 ................
[CV]  c1=0.19099453597313035, c2=0.0020509087170529883, score=0.798448 -   1.5s
[CV] c1=0.04266287086601511, c2=0.03383496372998509 ..................
[CV]  c1=0.04266287086601511, c2=0.03383496372998509, score=0.791240 -   1.4s
[CV] c1=2.005972168500325, c2=0.09677713109990038 ....................
[CV]  c1=2.005972168500325, c2=0.09677713109990038, score=0.692127 -   1.4s
[CV] c1=1.0264215310576092, c2=0.06099695679954699 ...................
[CV]  c1=1.0264215310576092, c2=0.06099695679954699, score=0.636545 -   1.1s
[CV] c1=0.21252966007557214, c2=0.010985844361572815 .................
[CV]  c1=0.21252966007557214, c2=0.010985844361572815, score=0.880404 -   1.2s
[CV] c1=0.5167985529392859, c2=0.022283310218086175 ..................
[CV]  c1=0.5167985529392859, c2=0.022283310218086175, score=0.780667 -   1.5s
[CV] c1=0.5862713550951433, c2=0.016955698765660644 ..................
[CV]  c1=0.5862713550951433, c2=0.016955698765660644, score=0.870302 -   1.3s
[CV] c1=0.17055450221645896, c2=0.0121383624055699 ...................
[CV]  c1=0.17055450221645896, c2=0.0121383624055699, score=0.880404 -   1.4s
[CV] c1=0.43452290153142564, c2=0.040665475777856466 .................
[CV]  c1=0.43452290153142564, c2=0.040665475777856466, score=0.735489 -   1.5s
[CV] c1=0.8636074319496432, c2=0.04820499818252297 ...................
[CV]  c1=0.8636074319496432, c2=0.04820499818252297, score=0.838617 -   1.5s
[CV] c1=1.054659693521455, c2=0.004297388327323848 ...................
[CV]  c1=1.054659693521455, c2=0.004297388327323848, score=0.840591 -   1.3s
[CV] c1=0.8124852681728079, c2=0.006284764115213802 ..................
[CV]  c1=0.8124852681728079, c2=0.006284764115213802, score=0.877727 -   1.5s
[CV] c1=0.8596240059778637, c2=0.02664684761528017 ...................
[CV]  c1=0.8596240059778637, c2=0.02664684761528017, score=0.763090 -   1.5s
[CV] c1=0.3529331694177298, c2=0.010280084769947274 ..................
[CV]  c1=0.3529331694177298, c2=0.010280084769947274, score=0.756340 -   1.5s
[CV] c1=0.1639784405109876, c2=0.012615045020210384 ..................
[CV]  c1=0.1639784405109876, c2=0.012615045020210384, score=0.887720 -   1.5s
[CV] c1=0.010069535539628614, c2=0.0039022725118254033 ...............
[CV]  c1=0.010069535539628614, c2=0.0039022725118254033, score=0.832991 -   1.5s
[CV] c1=0.21252966007557214, c2=0.010985844361572815 .................
[CV]  c1=0.21252966007557214, c2=0.010985844361572815, score=0.796382 -   1.1s
[CV] c1=0.18947943261583963, c2=0.02446392969880974 ..................
[CV]  c1=0.18947943261583963, c2=0.02446392969880974, score=0.796160 -   1.2s
[CV] c1=0.8738026699040272, c2=0.07716740417828886 ...................
[CV]  c1=0.8738026699040272, c2=0.07716740417828886, score=0.643882 -   1.4s
[CV] c1=0.6882470576189079, c2=0.013827890488577972 ..................
[CV]  c1=0.6882470576189079, c2=0.013827890488577972, score=0.738659 -   1.1s
[CV] c1=0.3092586848857195, c2=0.01949318577917585 ...................
[CV]  c1=0.3092586848857195, c2=0.01949318577917585, score=0.895941 -   1.4s
[CV] c1=0.3564594405059138, c2=0.037555825918790094 ..................
[CV]  c1=0.3564594405059138, c2=0.037555825918790094, score=0.778677 -   1.1s
[CV] c1=0.27988414878606593, c2=0.0515939269576975 ...................
[CV]  c1=0.27988414878606593, c2=0.0515939269576975, score=0.782814 -   1.4s
[CV] c1=0.711381340266663, c2=0.01455123705702888 ....................
[CV]  c1=0.711381340266663, c2=0.01455123705702888, score=0.801135 -   1.4s
[CV] c1=0.5127577126075684, c2=0.0234258166384996 ....................
[CV]  c1=0.5127577126075684, c2=0.0234258166384996, score=0.826370 -   1.4s
[CV] c1=0.6829007776249547, c2=0.0643953903327892 ....................
[CV]  c1=0.6829007776249547, c2=0.0643953903327892, score=0.767006 -   1.4s
[CV] c1=0.04266287086601511, c2=0.03383496372998509 ..................
[CV]  c1=0.04266287086601511, c2=0.03383496372998509, score=0.886541 -   1.4s
[CV] c1=0.07937959268797148, c2=0.050257676011509 ....................
[CV]  c1=0.07937959268797148, c2=0.050257676011509, score=0.793246 -   1.4s
[CV] c1=0.12748041597687057, c2=0.05690084209733585 ..................
[CV]  c1=0.12748041597687057, c2=0.05690084209733585, score=0.859063 -   1.3s
[CV] c1=0.21252966007557214, c2=0.010985844361572815 .................
[CV]  c1=0.21252966007557214, c2=0.010985844361572815, score=0.745651 -   1.1s
[CV] c1=0.5167985529392859, c2=0.022283310218086175 ..................
[CV]  c1=0.5167985529392859, c2=0.022283310218086175, score=0.752315 -   1.0s
[CV] c1=0.8738026699040272, c2=0.07716740417828886 ...................
[CV]  c1=0.8738026699040272, c2=0.07716740417828886, score=0.839282 -   1.4s
[CV] c1=0.2805799824217175, c2=0.059933543570293804 ..................
[CV]  c1=0.2805799824217175, c2=0.059933543570293804, score=0.890819 -   1.4s
[CV] c1=0.3092586848857195, c2=0.01949318577917585 ...................
[CV]  c1=0.3092586848857195, c2=0.01949318577917585, score=0.776776 -   1.5s
[CV] c1=0.04771793355265743, c2=0.13946102582302178 ..................
[CV]  c1=0.04771793355265743, c2=0.13946102582302178, score=0.812257 -   1.4s
[CV] c1=0.7162518877284689, c2=0.0168687050685107 ....................
[CV]  c1=0.7162518877284689, c2=0.0168687050685107, score=0.741727 -   1.1s
[CV] c1=0.7155198204385818, c2=0.05147089604437795 ...................
[CV]  c1=0.7155198204385818, c2=0.05147089604437795, score=0.801135 -   1.4s
[CV] c1=0.9456980394249963, c2=0.1106237222039058 ....................
[CV]  c1=0.9456980394249963, c2=0.1106237222039058, score=0.752238 -   1.4s
[CV] c1=0.19099453597313035, c2=0.0020509087170529883 ................
[CV]  c1=0.19099453597313035, c2=0.0020509087170529883, score=0.824735 -   1.4s
[CV] c1=0.04266287086601511, c2=0.03383496372998509 ..................
[CV]  c1=0.04266287086601511, c2=0.03383496372998509, score=0.816957 -   1.5s
[CV] c1=2.005972168500325, c2=0.09677713109990038 ....................
[CV]  c1=2.005972168500325, c2=0.09677713109990038, score=0.599930 -   1.3s
[CV] c1=1.0264215310576092, c2=0.06099695679954699 ...................
[CV]  c1=1.0264215310576092, c2=0.06099695679954699, score=0.640205 -   1.5s
[CV] c1=0.14353485016620096, c2=0.020812889553552115 .................
[CV]  c1=0.14353485016620096, c2=0.020812889553552115, score=0.785760 -   0.8s
[CV] c1=0.5271196368223918, c2=0.040226706883744634 ..................
[CV]  c1=0.5271196368223918, c2=0.040226706883744634, score=0.714388 -   1.4s
[CV] c1=0.8076821732513326, c2=0.1262693742630252 ....................
[CV]  c1=0.8076821732513326, c2=0.1262693742630252, score=0.839243 -   1.3s
[CV] c1=1.559978331574007, c2=0.0035966924767255153 ..................
[CV]  c1=1.559978331574007, c2=0.0035966924767255153, score=0.609859 -   1.4s
[CV] c1=0.45732057757993966, c2=0.0022275091639478743 ................
[CV]  c1=0.45732057757993966, c2=0.0022275091639478743, score=0.865479 -   1.4s
[CV] c1=0.23161831522405027, c2=0.08978661431284085 ..................
[CV]  c1=0.23161831522405027, c2=0.08978661431284085, score=0.785352 -   1.5s
[CV] c1=0.711381340266663, c2=0.01455123705702888 ....................
[CV]  c1=0.711381340266663, c2=0.01455123705702888, score=0.701233 -   1.4s
[CV] c1=0.5127577126075684, c2=0.0234258166384996 ....................
[CV]  c1=0.5127577126075684, c2=0.0234258166384996, score=0.733621 -   1.3s
[CV] c1=0.6829007776249547, c2=0.0643953903327892 ....................
[CV]  c1=0.6829007776249547, c2=0.0643953903327892, score=0.702991 -   1.3s
[CV] c1=0.3529331694177298, c2=0.010280084769947274 ..................
[CV]  c1=0.3529331694177298, c2=0.010280084769947274, score=0.787829 -   1.4s
[CV] c1=0.1639784405109876, c2=0.012615045020210384 ..................
[CV]  c1=0.1639784405109876, c2=0.012615045020210384, score=0.790857 -   1.4s
[CV] c1=0.010069535539628614, c2=0.0039022725118254033 ...............
[CV]  c1=0.010069535539628614, c2=0.0039022725118254033, score=0.814672 -   1.4s
[CV] c1=0.250697382244137, c2=0.03476013083170509 ....................
[CV]  c1=0.250697382244137, c2=0.03476013083170509, score=0.796160 -   1.3s
[CV] c1=0.052098660479341904, c2=0.053715231694265356 ................
[CV]  c1=0.052098660479341904, c2=0.053715231694265356, score=0.890157 -   1.3s
[CV] c1=1.2812932562966395, c2=0.024324001945485885 ..................
[CV]  c1=1.2812932562966395, c2=0.024324001945485885, score=0.835476 -   1.4s
[CV] c1=0.6347975772085124, c2=0.004082523673875742 ..................
[CV]  c1=0.6347975772085124, c2=0.004082523673875742, score=0.777128 -   1.1s
[CV] c1=0.43452290153142564, c2=0.040665475777856466 .................
[CV]  c1=0.43452290153142564, c2=0.040665475777856466, score=0.839157 -   1.2s
[CV] c1=1.1328485028013564, c2=0.09406486307493153 ...................
[CV]  c1=1.1328485028013564, c2=0.09406486307493153, score=0.839446 -   1.4s
[CV] c1=0.7162518877284689, c2=0.0168687050685107 ....................
[CV]  c1=0.7162518877284689, c2=0.0168687050685107, score=0.793714 -   1.4s
[CV] c1=0.1960679229532571, c2=0.029394430493046127 ..................
[CV]  c1=0.1960679229532571, c2=0.029394430493046127, score=0.746509 -   1.1s
[CV] c1=1.323783981481757, c2=0.19590029711339207 ....................
[CV]  c1=1.323783981481757, c2=0.19590029711339207, score=0.557741 -   1.4s
[CV] c1=0.047157391772731205, c2=0.00586313782732808 .................
[CV]  c1=0.047157391772731205, c2=0.00586313782732808, score=0.884941 -   1.4s
[CV] c1=0.2918451258703866, c2=0.08574533277287386 ...................
[CV]  c1=0.2918451258703866, c2=0.08574533277287386, score=0.745450 -   1.1s
[CV] c1=0.07937959268797148, c2=0.050257676011509 ....................
[CV]  c1=0.07937959268797148, c2=0.050257676011509, score=0.816957 -   1.4s
[CV] c1=1.0264215310576092, c2=0.06099695679954699 ...................
[CV]  c1=1.0264215310576092, c2=0.06099695679954699, score=0.839446 -   1.4s
[CV] c1=0.11236550010314551, c2=0.01856048180076575 ..................
[CV]  c1=0.11236550010314551, c2=0.01856048180076575, score=0.895439 -   1.1s
[CV] c1=0.052098660479341904, c2=0.053715231694265356 ................
[CV]  c1=0.052098660479341904, c2=0.053715231694265356, score=0.785519 -   1.4s
[CV] c1=0.8076821732513326, c2=0.1262693742630252 ....................
[CV]  c1=0.8076821732513326, c2=0.1262693742630252, score=0.678761 -   1.5s
[CV] c1=1.4728786547037582, c2=0.0370794301948504 ....................
[CV]  c1=1.4728786547037582, c2=0.0370794301948504, score=0.614697 -   1.3s
[CV] c1=0.45732057757993966, c2=0.0022275091639478743 ................
[CV]  c1=0.45732057757993966, c2=0.0022275091639478743, score=0.814383 -   1.5s
[CV] c1=0.27988414878606593, c2=0.0515939269576975 ...................
[CV]  c1=0.27988414878606593, c2=0.0515939269576975, score=0.753414 -   1.1s
[CV] c1=0.1229446906330316, c2=0.0655819469476886 ....................
[CV]  c1=0.1229446906330316, c2=0.0655819469476886, score=0.829027 -   1.4s
[CV] c1=0.8124852681728079, c2=0.006284764115213802 ..................
[CV]  c1=0.8124852681728079, c2=0.006284764115213802, score=0.685430 -   1.3s
[CV] c1=0.8596240059778637, c2=0.02664684761528017 ...................
[CV]  c1=0.8596240059778637, c2=0.02664684761528017, score=0.687697 -   1.4s
[CV] c1=0.0081135145357925, c2=0.00608071174930484 ...................
[CV]  c1=0.0081135145357925, c2=0.00608071174930484, score=0.759162 -   1.1s
[CV] c1=0.011754135519352745, c2=0.013975117023798701 ................
[CV]  c1=0.011754135519352745, c2=0.013975117023798701, score=0.738064 -   1.0s
[CV] c1=0.20157516050382573, c2=0.030151889686126615 .................
[CV]  c1=0.20157516050382573, c2=0.030151889686126615, score=0.787173 -   1.5s
[CV] c1=0.8032208471505141, c2=0.00489352727534193 ...................
[CV]  c1=0.8032208471505141, c2=0.00489352727534193, score=0.705129 -   1.1s
[CV] c1=0.11236550010314551, c2=0.01856048180076575 ..................
[CV]  c1=0.11236550010314551, c2=0.01856048180076575, score=0.861157 -   1.0s
[CV] c1=0.041440164469444325, c2=0.0013682627716993688 ...............
[CV]  c1=0.041440164469444325, c2=0.0013682627716993688, score=0.869347 -   1.2s
[CV] c1=1.271780473043481, c2=0.03955857950022479 ....................
[CV]  c1=1.271780473043481, c2=0.03955857950022479, score=0.570140 -   1.4s
[CV] c1=0.09055733479049301, c2=0.09597179925128704 ..................
[CV]  c1=0.09055733479049301, c2=0.09597179925128704, score=0.777133 -   1.4s
[CV] c1=0.3092586848857195, c2=0.01949318577917585 ...................
[CV]  c1=0.3092586848857195, c2=0.01949318577917585, score=0.743680 -   1.2s
[CV] c1=0.28874379895675517, c2=0.028458413854353742 .................
[CV]  c1=0.28874379895675517, c2=0.028458413854353742, score=0.863073 -   1.4s
[CV] c1=0.27988414878606593, c2=0.0515939269576975 ...................
[CV]  c1=0.27988414878606593, c2=0.0515939269576975, score=0.860889 -   1.4s
[CV] c1=0.711381340266663, c2=0.01455123705702888 ....................
[CV]  c1=0.711381340266663, c2=0.01455123705702888, score=0.766657 -   1.5s
[CV] c1=0.9456980394249963, c2=0.1106237222039058 ....................
[CV]  c1=0.9456980394249963, c2=0.1106237222039058, score=0.636877 -   1.4s
[CV] c1=0.19099453597313035, c2=0.0020509087170529883 ................
[CV]  c1=0.19099453597313035, c2=0.0020509087170529883, score=0.865479 -   1.5s
[CV] c1=1.924244902633413, c2=0.035250477638758895 ...................
[CV]  c1=1.924244902633413, c2=0.035250477638758895, score=0.732624 -   1.4s
[CV] c1=2.005972168500325, c2=0.09677713109990038 ....................
[CV]  c1=2.005972168500325, c2=0.09677713109990038, score=0.600042 -   1.2s
[CV] c1=0.12748041597687057, c2=0.05690084209733585 ..................
[CV]  c1=0.12748041597687057, c2=0.05690084209733585, score=0.829027 -   1.5s
[CV] c1=0.11236550010314551, c2=0.01856048180076575 ..................
[CV]  c1=0.11236550010314551, c2=0.01856048180076575, score=0.793246 -   1.0s
[CV] c1=0.5271196368223918, c2=0.040226706883744634 ..................
[CV]  c1=0.5271196368223918, c2=0.040226706883744634, score=0.874565 -   1.4s
[CV] c1=1.2812932562966395, c2=0.024324001945485885 ..................
[CV]  c1=1.2812932562966395, c2=0.024324001945485885, score=0.727144 -   1.3s
[CV] c1=0.6347975772085124, c2=0.004082523673875742 ..................
[CV]  c1=0.6347975772085124, c2=0.004082523673875742, score=0.700044 -   1.4s
[CV] c1=0.45732057757993966, c2=0.0022275091639478743 ................
[CV]  c1=0.45732057757993966, c2=0.0022275091639478743, score=0.754731 -   1.1s
[CV] c1=0.8636074319496432, c2=0.04820499818252297 ...................
[CV]  c1=0.8636074319496432, c2=0.04820499818252297, score=0.684245 -   1.2s
[CV] c1=0.0727761395434009, c2=0.014841509598479678 ..................
[CV]  c1=0.0727761395434009, c2=0.014841509598479678, score=0.793341 -   1.4s
[CV] c1=0.01773904445394855, c2=0.021319599924240297 .................
[CV]  c1=0.01773904445394855, c2=0.021319599924240297, score=0.736046 -   1.1s
[CV] c1=0.03371060003956147, c2=0.061385721328822175 .................
[CV]  c1=0.03371060003956147, c2=0.061385721328822175, score=0.860889 -   1.3s
[CV] c1=0.047157391772731205, c2=0.00586313782732808 .................
[CV]  c1=0.047157391772731205, c2=0.00586313782732808, score=0.785170 -   1.1s
[CV] c1=0.04266287086601511, c2=0.03383496372998509 ..................
[CV]  c1=0.04266287086601511, c2=0.03383496372998509, score=0.820824 -   1.3s
[CV] c1=0.07937959268797148, c2=0.050257676011509 ....................
[CV]  c1=0.07937959268797148, c2=0.050257676011509, score=0.860889 -   1.3s
[CV] c1=0.12748041597687057, c2=0.05690084209733585 ..................
[CV]  c1=0.12748041597687057, c2=0.05690084209733585, score=0.884168 -   1.5s
[CV] c1=0.21252966007557214, c2=0.010985844361572815 .................
[CV]  c1=0.21252966007557214, c2=0.010985844361572815, score=0.818141 -   1.2s
[CV] c1=0.5271196368223918, c2=0.040226706883744634 ..................
[CV]  c1=0.5271196368223918, c2=0.040226706883744634, score=0.779199 -   1.2s
[CV] c1=0.5862713550951433, c2=0.016955698765660644 ..................
[CV]  c1=0.5862713550951433, c2=0.016955698765660644, score=0.830543 -   1.3s
[CV] c1=0.17055450221645896, c2=0.0121383624055699 ...................
[CV]  c1=0.17055450221645896, c2=0.0121383624055699, score=0.775861 -   1.1s
[CV] c1=0.9557092346370866, c2=0.02658070114407142 ...................
[CV]  c1=0.9557092346370866, c2=0.02658070114407142, score=0.676166 -   1.3s
[CV] c1=0.04771793355265743, c2=0.13946102582302178 ..................
[CV]  c1=0.04771793355265743, c2=0.13946102582302178, score=0.770362 -   1.4s
[CV] c1=0.7162518877284689, c2=0.0168687050685107 ....................
[CV]  c1=0.7162518877284689, c2=0.0168687050685107, score=0.865037 -   1.3s
[CV] c1=0.11061382607470398, c2=0.006271192799214388 .................
[CV]  c1=0.11061382607470398, c2=0.006271192799214388, score=0.787048 -   1.1s
[CV] c1=0.9456980394249963, c2=0.1106237222039058 ....................
[CV]  c1=0.9456980394249963, c2=0.1106237222039058, score=0.638374 -   1.1s
[CV] c1=0.6919131392566366, c2=0.025275615196406795 ..................
[CV]  c1=0.6919131392566366, c2=0.025275615196406795, score=0.808934 -   1.3s
[CV] c1=0.3529331694177298, c2=0.010280084769947274 ..................
[CV]  c1=0.3529331694177298, c2=0.010280084769947274, score=0.776181 -   1.1s
[CV] c1=0.011754135519352745, c2=0.013975117023798701 ................
[CV]  c1=0.011754135519352745, c2=0.013975117023798701, score=0.851267 -   1.3s
[CV] c1=1.3505837629684587, c2=0.008117155648419215 ..................
[CV]  c1=1.3505837629684587, c2=0.008117155648419215, score=0.638205 -   1.1s
[CV] c1=0.2304675954396207, c2=0.006732245093937036 ..................
[CV]  c1=0.2304675954396207, c2=0.006732245093937036, score=0.863073 -   1.3s
[CV] c1=0.14353485016620096, c2=0.020812889553552115 .................
[CV]  c1=0.14353485016620096, c2=0.020812889553552115, score=0.863073 -   0.9s
[CV] c1=0.030265217512302857, c2=0.020733063493980127 ................
[CV]  c1=0.030265217512302857, c2=0.020733063493980127, score=0.891214 -   1.4s
[CV] c1=0.06788411825067195, c2=0.1968245212791584 ...................
[CV]  c1=0.06788411825067195, c2=0.1968245212791584, score=0.749399 -   1.1s
[CV] c1=0.6882470576189079, c2=0.013827890488577972 ..................
[CV]  c1=0.6882470576189079, c2=0.013827890488577972, score=0.862789 -   1.4s
[CV] c1=0.9557092346370866, c2=0.02658070114407142 ...................
[CV]  c1=0.9557092346370866, c2=0.02658070114407142, score=0.643805 -   1.5s
[CV] c1=0.5063132921012263, c2=0.015073688819414097 ..................
[CV]  c1=0.5063132921012263, c2=0.015073688819414097, score=0.793626 -   1.4s
[CV] c1=0.0727761395434009, c2=0.014841509598479678 ..................
[CV]  c1=0.0727761395434009, c2=0.014841509598479678, score=0.783916 -   1.1s
[CV] c1=0.1364259861254417, c2=0.09167902963728666 ...................
[CV]  c1=0.1364259861254417, c2=0.09167902963728666, score=0.705387 -   1.1s
[CV] c1=0.9456980394249963, c2=0.1106237222039058 ....................
[CV]  c1=0.9456980394249963, c2=0.1106237222039058, score=0.635406 -   1.5s
[CV] c1=1.1905195701711266, c2=0.033894208090240796 ..................
[CV]  c1=1.1905195701711266, c2=0.033894208090240796, score=0.658643 -   1.3s
[CV] c1=1.924244902633413, c2=0.035250477638758895 ...................
[CV]  c1=1.924244902633413, c2=0.035250477638758895, score=0.600445 -   1.1s
[CV] c1=0.1639784405109876, c2=0.012615045020210384 ..................
[CV]  c1=0.1639784405109876, c2=0.012615045020210384, score=0.796160 -   1.4s
[CV] c1=0.12748041597687057, c2=0.05690084209733585 ..................
[CV]  c1=0.12748041597687057, c2=0.05690084209733585, score=0.787173 -   1.4s
[CV] c1=0.21252966007557214, c2=0.010985844361572815 .................
[CV]  c1=0.21252966007557214, c2=0.010985844361572815, score=0.863073 -   1.2s
[CV] c1=0.041440164469444325, c2=0.0013682627716993688 ...............
[CV]  c1=0.041440164469444325, c2=0.0013682627716993688, score=0.829432 -   1.1s
[CV] c1=1.271780473043481, c2=0.03955857950022479 ....................
[CV]  c1=1.271780473043481, c2=0.03955857950022479, score=0.625620 -   1.5s
[CV] c1=0.2805799824217175, c2=0.059933543570293804 ..................
[CV]  c1=0.2805799824217175, c2=0.059933543570293804, score=0.754707 -   1.3s
[CV] c1=1.4728786547037582, c2=0.0370794301948504 ....................
[CV]  c1=1.4728786547037582, c2=0.0370794301948504, score=0.560953 -   1.5s
[CV] c1=0.3564594405059138, c2=0.037555825918790094 ..................
[CV]  c1=0.3564594405059138, c2=0.037555825918790094, score=0.758631 -   1.5s
[CV] c1=0.05318568891382186, c2=0.019261443877852925 .................
[CV]  c1=0.05318568891382186, c2=0.019261443877852925, score=0.800547 -   1.4s
[CV] c1=0.1364259861254417, c2=0.09167902963728666 ...................
[CV]  c1=0.1364259861254417, c2=0.09167902963728666, score=0.883574 -   1.4s
[CV] c1=0.03371060003956147, c2=0.061385721328822175 .................
[CV]  c1=0.03371060003956147, c2=0.061385721328822175, score=0.692299 -   1.2s
[CV] c1=1.1905195701711266, c2=0.033894208090240796 ..................
[CV]  c1=1.1905195701711266, c2=0.033894208090240796, score=0.843829 -   1.4s
[CV] c1=1.924244902633413, c2=0.035250477638758895 ...................
[CV]  c1=1.924244902633413, c2=0.035250477638758895, score=0.605254 -   1.4s
[CV] c1=2.005972168500325, c2=0.09677713109990038 ....................
[CV]  c1=2.005972168500325, c2=0.09677713109990038, score=0.662813 -   1.4s
[CV] c1=0.2304675954396207, c2=0.006732245093937036 ..................
[CV]  c1=0.2304675954396207, c2=0.006732245093937036, score=0.887982 -   1.4s
[CV] c1=0.14353485016620096, c2=0.020812889553552115 .................
[CV]  c1=0.14353485016620096, c2=0.020812889553552115, score=0.882516 -   1.0s
[CV] c1=0.44978207359610684, c2=0.007030405665927633 .................
[CV]  c1=0.44978207359610684, c2=0.007030405665927633, score=0.858541 -   1.4s
[CV] c1=0.2375711367798608, c2=0.0701887717839691 ....................
[CV]  c1=0.2375711367798608, c2=0.0701887717839691, score=0.757165 -   1.1s
[CV] c1=0.3274730671599215, c2=0.13333075681848328 ...................
[CV]  c1=0.3274730671599215, c2=0.13333075681848328, score=0.834022 -   1.3s
[CV] c1=0.00461827978812201, c2=0.04620505988980125 ..................
[CV]  c1=0.00461827978812201, c2=0.04620505988980125, score=0.800656 -   1.3s
[CV] c1=0.5063132921012263, c2=0.015073688819414097 ..................
[CV]  c1=0.5063132921012263, c2=0.015073688819414097, score=0.743304 -   1.3s
[CV] c1=0.7162518877284689, c2=0.0168687050685107 ....................
[CV]  c1=0.7162518877284689, c2=0.0168687050685107, score=0.687147 -   1.4s
[CV] c1=0.1364259861254417, c2=0.09167902963728666 ...................
[CV]  c1=0.1364259861254417, c2=0.09167902963728666, score=0.860889 -   1.4s
[CV] c1=1.313437568442178, c2=0.023222528519631247 ...................
[CV]  c1=1.313437568442178, c2=0.023222528519631247, score=0.831797 -   1.4s
[CV] c1=0.15026835901283445, c2=0.1295734100155496 ...................
[CV]  c1=0.15026835901283445, c2=0.1295734100155496, score=0.886916 -   1.4s
[CV] c1=0.7245406469202152, c2=0.03764607547428888 ...................
[CV]  c1=0.7245406469202152, c2=0.03764607547428888, score=0.769937 -   1.4s
[CV] c1=1.3505837629684587, c2=0.008117155648419215 ..................
[CV]  c1=1.3505837629684587, c2=0.008117155648419215, score=0.720344 -   1.3s
[CV] c1=0.050260763783334564, c2=0.008778571538351888 ................
[CV]  c1=0.050260763783334564, c2=0.008778571538351888, score=0.785806 -   1.1s
[CV] c1=0.14353485016620096, c2=0.020812889553552115 .................
[CV]  c1=0.14353485016620096, c2=0.020812889553552115, score=0.796160 -   0.9s
[CV] c1=0.030265217512302857, c2=0.020733063493980127 ................
[CV]  c1=0.030265217512302857, c2=0.020733063493980127, score=0.789416 -   1.3s
[CV] c1=0.06788411825067195, c2=0.1968245212791584 ...................
[CV]  c1=0.06788411825067195, c2=0.1968245212791584, score=0.859592 -   1.2s
[CV] c1=0.6882470576189079, c2=0.013827890488577972 ..................
[CV]  c1=0.6882470576189079, c2=0.013827890488577972, score=0.771800 -   1.4s
[CV] c1=0.00461827978812201, c2=0.04620505988980125 ..................
[CV]  c1=0.00461827978812201, c2=0.04620505988980125, score=0.733949 -   1.1s
[CV] c1=0.3564594405059138, c2=0.037555825918790094 ..................
[CV]  c1=0.3564594405059138, c2=0.037555825918790094, score=0.801193 -   1.5s
[CV] c1=0.05318568891382186, c2=0.019261443877852925 .................
[CV]  c1=0.05318568891382186, c2=0.019261443877852925, score=0.863073 -   1.3s
[CV] c1=0.11061382607470398, c2=0.006271192799214388 .................
[CV]  c1=0.11061382607470398, c2=0.006271192799214388, score=0.790857 -   1.5s
[CV] c1=0.03371060003956147, c2=0.061385721328822175 .................
[CV]  c1=0.03371060003956147, c2=0.061385721328822175, score=0.884168 -   1.5s
[CV] c1=0.047157391772731205, c2=0.00586313782732808 .................
[CV]  c1=0.047157391772731205, c2=0.00586313782732808, score=0.849027 -   1.3s
[CV] c1=0.2918451258703866, c2=0.08574533277287386 ...................
[CV]  c1=0.2918451258703866, c2=0.08574533277287386, score=0.853125 -   1.3s
[CV] c1=0.20157516050382573, c2=0.030151889686126615 .................
[CV]  c1=0.20157516050382573, c2=0.030151889686126615, score=0.742815 -   1.2s
[CV] c1=1.0264215310576092, c2=0.06099695679954699 ...................
[CV]  c1=1.0264215310576092, c2=0.06099695679954699, score=0.771852 -   1.4s
[CV] c1=0.11236550010314551, c2=0.01856048180076575 ..................
[CV]  c1=0.11236550010314551, c2=0.01856048180076575, score=0.796160 -   1.1s
Training done in: 19.522465s
     Saving training model...
        Saving training model done in: 0.013413s
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Prediction done in: 0.032188s