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

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Run14_v12.txt 69.3 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: Run14
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: TrueS4: True
Run variant: 12
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003929s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0        1
0        lemma        :
1       postag        :
2     -1:lemma       in
3    -1:postag       IN
4     +1:lemma       m9
5    +1:postag       NN
6       hUpper    False
7       hLower    False
8       hGreek    False
9         symb    False
10    word[:1]        :
11  postag[:1]        :
12    -2:lemma  culture
13   -2:postag      VBN
14    +2:lemma  minimal
15   +2:postag       JJ
16      -1:ner        _
17      +1:ner      MED
18      -2:ner        _
19      +2:ner      MED
--------------------------- FeaturesTest -----------------------------
             0           1
0        lemma  delta-arca
1       postag          NN
2     -1:lemma           _
3    -1:postag          NN
4     +1:lemma           _
5    +1:postag          CD
6       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10    word[:1]           d
11    word[:2]          de
12  postag[:1]           N
13  postag[:2]          NN
14    -2:lemma     affyexp
15   -2:postag          JJ
16    +2:lemma     glucose
17   +2:postag          NN
18      -1:ner           _
19      +1:ner           _
20      -2:ner           _
21      +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.19777251824517397, c2=0.07367386884623009 ..................
[CV]  c1=0.19777251824517397, c2=0.07367386884623009, score=0.800196 -   1.1s
[CV] c1=2.4515856705505654, c2=0.0071264529879295525 .................
[CV]  c1=2.4515856705505654, c2=0.0071264529879295525, score=0.685369 -   1.4s
[CV] c1=1.5482214432197545, c2=0.026585676559004928 ..................
[CV]  c1=1.5482214432197545, c2=0.026585676559004928, score=0.737891 -   1.6s
[CV] c1=0.8167253422038809, c2=0.13137461218202223 ...................
[CV]  c1=0.8167253422038809, c2=0.13137461218202223, score=0.665875 -   1.7s
[CV] c1=0.24672655876225524, c2=0.024201393482838326 .................
[CV]  c1=0.24672655876225524, c2=0.024201393482838326, score=0.859573 -   1.5s
[CV] c1=0.31376477426382476, c2=0.07388434938263239 ..................
[CV]  c1=0.31376477426382476, c2=0.07388434938263239, score=0.832047 -   1.6s
[CV] c1=0.8530123463084863, c2=0.030011486975785963 ..................
[CV]  c1=0.8530123463084863, c2=0.030011486975785963, score=0.881955 -   1.6s
[CV] c1=1.4263801333227386, c2=0.06507807385224453 ...................
[CV]  c1=1.4263801333227386, c2=0.06507807385224453, score=0.617378 -   1.6s
[CV] c1=0.5770271542658759, c2=0.10849474747024697 ...................
[CV]  c1=0.5770271542658759, c2=0.10849474747024697, score=0.844182 -   1.7s
[CV] c1=0.5510708188975199, c2=0.03926438724957261 ...................
[CV]  c1=0.5510708188975199, c2=0.03926438724957261, score=0.721758 -   1.8s
[CV] c1=1.0575806054339854, c2=0.012796868041708445 ..................
[CV]  c1=1.0575806054339854, c2=0.012796868041708445, score=0.762245 -   1.7s
[CV] c1=0.21083682700888007, c2=0.045549993898385446 .................
[CV]  c1=0.21083682700888007, c2=0.045549993898385446, score=0.788709 -   1.6s
[CV] c1=0.17310036056728986, c2=0.024546462863782644 .................
[CV]  c1=0.17310036056728986, c2=0.024546462863782644, score=0.804034 -   1.2s
[CV] c1=0.3016583487323354, c2=0.005427293745730814 ..................
[CV]  c1=0.3016583487323354, c2=0.005427293745730814, score=0.777310 -   1.3s
[CV] c1=0.5002909833831706, c2=0.006915823986436244 ..................
[CV]  c1=0.5002909833831706, c2=0.006915823986436244, score=0.803386 -   1.2s
[CV] c1=1.3709511936503236, c2=0.008224362753116533 ..................
[CV]  c1=1.3709511936503236, c2=0.008224362753116533, score=0.680957 -   1.6s
[CV] c1=0.20591067225223017, c2=0.05215477930011434 ..................
[CV]  c1=0.20591067225223017, c2=0.05215477930011434, score=0.890545 -   1.5s
[CV] c1=0.6680601760856615, c2=0.030821751449418677 ..................
[CV]  c1=0.6680601760856615, c2=0.030821751449418677, score=0.843710 -   1.5s
[CV] c1=0.8530123463084863, c2=0.030011486975785963 ..................
[CV]  c1=0.8530123463084863, c2=0.030011486975785963, score=0.734520 -   1.5s
[CV] c1=0.009854400583862125, c2=0.008241780616000862 ................
[CV]  c1=0.009854400583862125, c2=0.008241780616000862, score=0.887945 -   1.6s
[CV] c1=0.052812223674163036, c2=0.17639288651454293 .................
[CV]  c1=0.052812223674163036, c2=0.17639288651454293, score=0.750571 -   1.2s
[CV] c1=0.006186126778203435, c2=0.02129939133276789 .................
[CV]  c1=0.006186126778203435, c2=0.02129939133276789, score=0.855597 -   1.4s
[CV] c1=0.030867400808899177, c2=0.01751658363247369 .................
[CV]  c1=0.030867400808899177, c2=0.01751658363247369, score=0.835924 -   1.2s
[CV] c1=0.7113733657664203, c2=0.014484035501668331 ..................
[CV]  c1=0.7113733657664203, c2=0.014484035501668331, score=0.761837 -   1.2s
[CV] c1=0.33581937644507037, c2=0.05385589355555764 ..................
[CV]  c1=0.33581937644507037, c2=0.05385589355555764, score=0.899014 -   1.5s
[CV] c1=0.0822310685139671, c2=0.10610622619639175 ...................
[CV]  c1=0.0822310685139671, c2=0.10610622619639175, score=0.789991 -   1.6s
[CV] c1=1.5482214432197545, c2=0.026585676559004928 ..................
[CV]  c1=1.5482214432197545, c2=0.026585676559004928, score=0.634532 -   1.7s
[CV] c1=1.3709511936503236, c2=0.008224362753116533 ..................
[CV]  c1=1.3709511936503236, c2=0.008224362753116533, score=0.631975 -   1.6s
[CV] c1=0.21616298769703937, c2=0.007394852894261242 .................
[CV]  c1=0.21616298769703937, c2=0.007394852894261242, score=0.808272 -   1.6s
[CV] c1=0.1318608956126033, c2=0.03526535477742084 ...................
[CV]  c1=0.1318608956126033, c2=0.03526535477742084, score=0.892656 -   1.5s
[CV] c1=0.27529684183145364, c2=0.007695494932309018 .................
[CV]  c1=0.27529684183145364, c2=0.007695494932309018, score=0.914154 -   1.5s
[CV] c1=1.4263801333227386, c2=0.06507807385224453 ...................
[CV]  c1=1.4263801333227386, c2=0.06507807385224453, score=0.642279 -   1.6s
[CV] c1=0.052812223674163036, c2=0.17639288651454293 .................
[CV]  c1=0.052812223674163036, c2=0.17639288651454293, score=0.877212 -   1.6s
[CV] c1=0.5510708188975199, c2=0.03926438724957261 ...................
[CV]  c1=0.5510708188975199, c2=0.03926438724957261, score=0.893670 -   1.4s
[CV] c1=0.10974318572116201, c2=0.07210279659417348 ..................
[CV]  c1=0.10974318572116201, c2=0.07210279659417348, score=0.861375 -   1.6s
[CV] c1=0.14050570933510353, c2=0.09514926376752575 ..................
[CV]  c1=0.14050570933510353, c2=0.09514926376752575, score=0.812068 -   1.2s
[CV] c1=0.39009815842129836, c2=0.005384354858256155 .................
[CV]  c1=0.39009815842129836, c2=0.005384354858256155, score=0.801567 -   1.3s
[CV] c1=0.03768539151039848, c2=0.019464136457914574 .................
[CV]  c1=0.03768539151039848, c2=0.019464136457914574, score=0.819378 -   1.6s
[CV] c1=1.5482214432197545, c2=0.026585676559004928 ..................
[CV]  c1=1.5482214432197545, c2=0.026585676559004928, score=0.676392 -   1.3s
[CV] c1=0.000225497202432697, c2=0.006382001444831549 ................
[CV]  c1=0.000225497202432697, c2=0.006382001444831549, score=0.804983 -   1.5s
[CV] c1=0.017262275834004612, c2=0.1428694483169299 ..................
[CV]  c1=0.017262275834004612, c2=0.1428694483169299, score=0.854825 -   1.6s
[CV] c1=0.06734183912149885, c2=0.0019997628996362353 ................
[CV]  c1=0.06734183912149885, c2=0.0019997628996362353, score=0.876725 -   1.6s
[CV] c1=0.34013498370735146, c2=0.04496001129824112 ..................
[CV]  c1=0.34013498370735146, c2=0.04496001129824112, score=0.810449 -   1.4s
[CV] c1=0.1668480059591339, c2=0.0017711711060656094 .................
[CV]  c1=0.1668480059591339, c2=0.0017711711060656094, score=0.792937 -   1.3s
[CV] c1=0.7290061283357349, c2=0.0226338614959946 ....................
[CV]  c1=0.7290061283357349, c2=0.0226338614959946, score=0.851993 -   1.6s
[CV] c1=0.11490834624036528, c2=0.008320748096844802 .................
[CV]  c1=0.11490834624036528, c2=0.008320748096844802, score=0.791300 -   1.6s
[CV] c1=0.7221079011359293, c2=0.013497749483922026 ..................
[CV]  c1=0.7221079011359293, c2=0.013497749483922026, score=0.888476 -   1.6s
[CV] c1=0.5396226209274689, c2=0.03670707310220498 ...................
[CV]  c1=0.5396226209274689, c2=0.03670707310220498, score=0.750354 -   1.3s
[CV] c1=0.006395123362131518, c2=0.00343822944218413 .................
[CV]  c1=0.006395123362131518, c2=0.00343822944218413, score=0.793334 -   1.6s
[CV] c1=0.0822310685139671, c2=0.10610622619639175 ...................
[CV]  c1=0.0822310685139671, c2=0.10610622619639175, score=0.862046 -   1.5s
[CV] c1=1.5482214432197545, c2=0.026585676559004928 ..................
[CV]  c1=1.5482214432197545, c2=0.026585676559004928, score=0.619809 -   1.6s
[CV] c1=0.8167253422038809, c2=0.13137461218202223 ...................
[CV]  c1=0.8167253422038809, c2=0.13137461218202223, score=0.772465 -   1.7s
[CV] c1=0.21616298769703937, c2=0.007394852894261242 .................
[CV]  c1=0.21616298769703937, c2=0.007394852894261242, score=0.898148 -   1.5s
[CV] c1=0.6680601760856615, c2=0.030821751449418677 ..................
[CV]  c1=0.6680601760856615, c2=0.030821751449418677, score=0.884202 -   1.5s
[CV] c1=0.34013498370735146, c2=0.04496001129824112 ..................
[CV]  c1=0.34013498370735146, c2=0.04496001129824112, score=0.867699 -   1.6s
[CV] c1=0.41226819365152784, c2=0.0380649767408738 ...................
[CV]  c1=0.41226819365152784, c2=0.0380649767408738, score=0.875381 -   1.6s
[CV] c1=0.5770271542658759, c2=0.10849474747024697 ...................
[CV]  c1=0.5770271542658759, c2=0.10849474747024697, score=0.709079 -   1.7s
[CV] c1=0.5510708188975199, c2=0.03926438724957261 ...................
[CV]  c1=0.5510708188975199, c2=0.03926438724957261, score=0.758202 -   1.2s
[CV] c1=0.10974318572116201, c2=0.07210279659417348 ..................
[CV]  c1=0.10974318572116201, c2=0.07210279659417348, score=0.885341 -   1.6s
[CV] c1=0.037588618095124475, c2=0.07775246446885949 .................
[CV]  c1=0.037588618095124475, c2=0.07775246446885949, score=0.802057 -   1.2s
[CV] c1=0.5802501538168788, c2=0.01940508726225271 ...................
[CV]  c1=0.5802501538168788, c2=0.01940508726225271, score=0.718920 -   1.2s
[CV] c1=1.1554071387592453, c2=0.028745460240687578 ..................
[CV]  c1=1.1554071387592453, c2=0.028745460240687578, score=0.645048 -   1.5s
[CV] c1=1.9729299100743076, c2=0.0023477681623358068 .................
[CV]  c1=1.9729299100743076, c2=0.0023477681623358068, score=0.721916 -   1.4s
[CV] c1=0.5002909833831706, c2=0.006915823986436244 ..................
[CV]  c1=0.5002909833831706, c2=0.006915823986436244, score=0.740234 -   1.6s
[CV] c1=0.1919684344833468, c2=0.009622890225494465 ..................
[CV]  c1=0.1919684344833468, c2=0.009622890225494465, score=0.858415 -   1.7s
[CV] c1=0.3214647411277119, c2=0.09696013713388944 ...................
[CV]  c1=0.3214647411277119, c2=0.09696013713388944, score=0.753668 -   1.6s
[CV] c1=0.8374752494307607, c2=0.012109042087458522 ..................
[CV]  c1=0.8374752494307607, c2=0.012109042087458522, score=0.700463 -   1.6s
[CV] c1=0.1668480059591339, c2=0.0017711711060656094 .................
[CV]  c1=0.1668480059591339, c2=0.0017711711060656094, score=0.892656 -   1.5s
[CV] c1=0.26150615938542243, c2=0.03027455131788803 ..................
[CV]  c1=0.26150615938542243, c2=0.03027455131788803, score=0.807267 -   1.3s
[CV] c1=0.11490834624036528, c2=0.008320748096844802 .................
[CV]  c1=0.11490834624036528, c2=0.008320748096844802, score=0.804766 -   1.3s
[CV] c1=0.2997716466086792, c2=0.10534698444205069 ...................
[CV]  c1=0.2997716466086792, c2=0.10534698444205069, score=0.877155 -   1.6s
[CV] c1=0.6297299771108417, c2=0.017796814910037966 ..................
[CV]  c1=0.6297299771108417, c2=0.017796814910037966, score=0.701631 -   1.6s
[CV] c1=0.33581937644507037, c2=0.05385589355555764 ..................
[CV]  c1=0.33581937644507037, c2=0.05385589355555764, score=0.835631 -   1.6s
[CV] c1=1.0409718487095327, c2=0.06179098141643054 ...................
[CV]  c1=1.0409718487095327, c2=0.06179098141643054, score=0.705052 -   1.7s
[CV] c1=0.3424142735091473, c2=0.06501033135296214 ...................
[CV]  c1=0.3424142735091473, c2=0.06501033135296214, score=0.804930 -   1.3s
[CV] c1=1.197756378841269, c2=0.018472952535320827 ...................
[CV]  c1=1.197756378841269, c2=0.018472952535320827, score=0.768194 -   1.5s
[CV] c1=0.11728725173093679, c2=0.016312172977757913 .................
[CV]  c1=0.11728725173093679, c2=0.016312172977757913, score=0.858415 -   1.5s
[CV] c1=0.02363012750319212, c2=0.029373189132846908 .................
[CV]  c1=0.02363012750319212, c2=0.029373189132846908, score=0.880755 -   1.6s
[CV] c1=0.02353556757317748, c2=0.019178611367526337 .................
[CV]  c1=0.02353556757317748, c2=0.019178611367526337, score=0.807056 -   1.6s
[CV] c1=0.3515934525710165, c2=0.0018802837388816912 .................
[CV]  c1=0.3515934525710165, c2=0.0018802837388816912, score=0.918463 -   1.5s
[CV] c1=0.7290061283357349, c2=0.0226338614959946 ....................
[CV]  c1=0.7290061283357349, c2=0.0226338614959946, score=0.697519 -   1.6s
[CV] c1=0.16657027772063845, c2=0.1043219347328926 ...................
[CV]  c1=0.16657027772063845, c2=0.1043219347328926, score=0.863974 -   1.7s
[CV] c1=0.09869262858710923, c2=0.005487390723826579 .................
[CV]  c1=0.09869262858710923, c2=0.005487390723826579, score=0.797117 -   1.6s
[CV] c1=0.7113733657664203, c2=0.014484035501668331 ..................
[CV]  c1=0.7113733657664203, c2=0.014484035501668331, score=0.801316 -   1.5s
[CV] c1=0.006395123362131518, c2=0.00343822944218413 .................
[CV]  c1=0.006395123362131518, c2=0.00343822944218413, score=0.826583 -   1.6s
[CV] c1=0.17310036056728986, c2=0.024546462863782644 .................
[CV]  c1=0.17310036056728986, c2=0.024546462863782644, score=0.888328 -   1.5s
[CV] c1=0.3424142735091473, c2=0.06501033135296214 ...................
[CV]  c1=0.3424142735091473, c2=0.06501033135296214, score=0.890817 -   1.6s
[CV] c1=0.000225497202432697, c2=0.006382001444831549 ................
[CV]  c1=0.000225497202432697, c2=0.006382001444831549, score=0.860201 -   1.5s
[CV] c1=0.017262275834004612, c2=0.1428694483169299 ..................
[CV]  c1=0.017262275834004612, c2=0.1428694483169299, score=0.853620 -   1.5s
[CV] c1=0.6076537857459339, c2=0.01883646917609991 ...................
[CV]  c1=0.6076537857459339, c2=0.01883646917609991, score=0.809429 -   1.5s
[CV] c1=0.8374752494307607, c2=0.012109042087458522 ..................
[CV]  c1=0.8374752494307607, c2=0.012109042087458522, score=0.840155 -   1.6s
[CV] c1=0.1668480059591339, c2=0.0017711711060656094 .................
[CV]  c1=0.1668480059591339, c2=0.0017711711060656094, score=0.786377 -   1.6s
[CV] c1=0.12486818277276217, c2=0.03993012961810546 ..................
[CV]  c1=0.12486818277276217, c2=0.03993012961810546, score=0.885767 -   1.5s
[CV] c1=0.006186126778203435, c2=0.02129939133276789 .................
[CV]  c1=0.006186126778203435, c2=0.02129939133276789, score=0.873245 -   1.5s
[CV] c1=0.7221079011359293, c2=0.013497749483922026 ..................
[CV]  c1=0.7221079011359293, c2=0.013497749483922026, score=0.840798 -   1.5s
[CV] c1=0.10737511891161533, c2=0.021143174084020493 .................
[CV]  c1=0.10737511891161533, c2=0.021143174084020493, score=0.887452 -   1.5s
[CV] c1=0.39009815842129836, c2=0.005384354858256155 .................
[CV]  c1=0.39009815842129836, c2=0.005384354858256155, score=0.912034 -   1.5s
[CV] c1=0.03768539151039848, c2=0.019464136457914574 .................
[CV]  c1=0.03768539151039848, c2=0.019464136457914574, score=0.881055 -   1.5s
[CV] c1=0.19177624509320212, c2=0.011935575242994394 .................
[CV]  c1=0.19177624509320212, c2=0.011935575242994394, score=0.910242 -   1.6s
[CV] c1=0.3629587508138205, c2=0.01499919334686997 ...................
[CV]  c1=0.3629587508138205, c2=0.01499919334686997, score=0.770170 -   1.6s
[CV] c1=0.24672655876225524, c2=0.024201393482838326 .................
[CV]  c1=0.24672655876225524, c2=0.024201393482838326, score=0.918463 -   1.6s
[CV] c1=0.31376477426382476, c2=0.07388434938263239 ..................
[CV]  c1=0.31376477426382476, c2=0.07388434938263239, score=0.786237 -   1.2s
[CV] c1=0.1397112264626095, c2=0.03992961676555939 ...................
[CV]  c1=0.1397112264626095, c2=0.03992961676555939, score=0.895218 -   1.5s
[CV] c1=0.4450300696778118, c2=0.007621383593932918 ..................
[CV]  c1=0.4450300696778118, c2=0.007621383593932918, score=0.853673 -   1.6s
[CV] c1=0.26150615938542243, c2=0.03027455131788803 ..................
[CV]  c1=0.26150615938542243, c2=0.03027455131788803, score=0.780407 -   1.7s
[CV] c1=0.006186126778203435, c2=0.02129939133276789 .................
[CV]  c1=0.006186126778203435, c2=0.02129939133276789, score=0.817447 -   1.2s
[CV] c1=0.09869262858710923, c2=0.005487390723826579 .................
[CV]  c1=0.09869262858710923, c2=0.005487390723826579, score=0.841254 -   1.6s
[CV] c1=0.5396226209274689, c2=0.03670707310220498 ...................
[CV]  c1=0.5396226209274689, c2=0.03670707310220498, score=0.856888 -   1.7s
[CV] c1=0.23942424210950508, c2=0.05652294745675432 ..................
[CV]  c1=0.23942424210950508, c2=0.05652294745675432, score=0.799987 -   1.3s
[CV] c1=0.03768539151039848, c2=0.019464136457914574 .................
[CV]  c1=0.03768539151039848, c2=0.019464136457914574, score=0.790400 -   1.6s
[CV] c1=0.19177624509320212, c2=0.011935575242994394 .................
[CV]  c1=0.19177624509320212, c2=0.011935575242994394, score=0.872870 -   1.6s
[CV] c1=0.8167253422038809, c2=0.13137461218202223 ...................
[CV]  c1=0.8167253422038809, c2=0.13137461218202223, score=0.736478 -   1.4s
[CV] c1=0.4855183551252322, c2=0.06570208876453044 ...................
[CV]  c1=0.4855183551252322, c2=0.06570208876453044, score=0.797394 -   1.3s
[CV] c1=0.6076537857459339, c2=0.01883646917609991 ...................
[CV]  c1=0.6076537857459339, c2=0.01883646917609991, score=0.723707 -   1.3s
[CV] c1=1.2942814899622352, c2=0.35624159868917415 ...................
[CV]  c1=1.2942814899622352, c2=0.35624159868917415, score=0.825209 -   1.5s
[CV] c1=0.0045847723007544266, c2=0.030022229935984836 ...............
[CV]  c1=0.0045847723007544266, c2=0.030022229935984836, score=0.855597 -   1.4s
[CV] c1=0.5739309580586962, c2=0.049212579726414116 ..................
[CV]  c1=0.5739309580586962, c2=0.049212579726414116, score=0.723518 -   1.6s
[CV] c1=0.16657027772063845, c2=0.1043219347328926 ...................
[CV]  c1=0.16657027772063845, c2=0.1043219347328926, score=0.888682 -   1.5s
[CV] c1=0.1918658439608935, c2=0.075344742452826 .....................
[CV]  c1=0.1918658439608935, c2=0.075344742452826, score=0.854763 -   1.4s
[CV] c1=0.28939519375038014, c2=0.12175996314889775 ..................
[CV]  c1=0.28939519375038014, c2=0.12175996314889775, score=0.776754 -   1.6s
[CV] c1=0.21083682700888007, c2=0.045549993898385446 .................
[CV]  c1=0.21083682700888007, c2=0.045549993898385446, score=0.873445 -   1.7s
[CV] c1=0.17310036056728986, c2=0.024546462863782644 .................
[CV]  c1=0.17310036056728986, c2=0.024546462863782644, score=0.857318 -   1.5s
[CV] c1=0.3424142735091473, c2=0.06501033135296214 ...................
[CV]  c1=0.3424142735091473, c2=0.06501033135296214, score=0.871553 -   1.6s
[CV] c1=0.3629587508138205, c2=0.01499919334686997 ...................
[CV]  c1=0.3629587508138205, c2=0.01499919334686997, score=0.812341 -   1.2s
[CV] c1=1.223610964733207, c2=0.02282297647927181 ....................
[CV]  c1=1.223610964733207, c2=0.02282297647927181, score=0.648259 -   1.5s
[CV] c1=0.3214647411277119, c2=0.09696013713388944 ...................
[CV]  c1=0.3214647411277119, c2=0.09696013713388944, score=0.851070 -   1.5s
[CV] c1=1.2942814899622352, c2=0.35624159868917415 ...................
[CV]  c1=1.2942814899622352, c2=0.35624159868917415, score=0.718437 -   1.5s
[CV] c1=0.3515934525710165, c2=0.0018802837388816912 .................
[CV]  c1=0.3515934525710165, c2=0.0018802837388816912, score=0.889595 -   1.6s
[CV] c1=0.08644366128034044, c2=0.03946131642583428 ..................
[CV]  c1=0.08644366128034044, c2=0.03946131642583428, score=0.798034 -   1.2s
[CV] c1=0.1475628970098523, c2=0.05230964179108454 ...................
[CV]  c1=0.1475628970098523, c2=0.05230964179108454, score=0.857318 -   1.8s
[CV] c1=0.2997716466086792, c2=0.10534698444205069 ...................
[CV]  c1=0.2997716466086792, c2=0.10534698444205069, score=0.825836 -   1.7s
[CV] c1=0.5396226209274689, c2=0.03670707310220498 ...................
[CV]  c1=0.5396226209274689, c2=0.03670707310220498, score=0.898053 -   1.5s
[CV] c1=0.5802501538168788, c2=0.01940508726225271 ...................
[CV]  c1=0.5802501538168788, c2=0.01940508726225271, score=0.897991 -   1.5s
[CV] c1=0.4403537170464873, c2=0.007237556270422058 ..................
[CV]  c1=0.4403537170464873, c2=0.007237556270422058, score=0.899739 -   1.3s
[CV] c1=1.4221346066835803, c2=0.010135371349075249 ..................
[CV]  c1=1.4221346066835803, c2=0.010135371349075249, score=0.680745 -   1.6s
[CV] c1=0.5002909833831706, c2=0.006915823986436244 ..................
[CV]  c1=0.5002909833831706, c2=0.006915823986436244, score=0.903909 -   1.6s
[CV] c1=0.1919684344833468, c2=0.009622890225494465 ..................
[CV]  c1=0.1919684344833468, c2=0.009622890225494465, score=0.802046 -   1.3s
[CV] c1=0.20591067225223017, c2=0.05215477930011434 ..................
[CV]  c1=0.20591067225223017, c2=0.05215477930011434, score=0.799174 -   1.3s
[CV] c1=0.6680601760856615, c2=0.030821751449418677 ..................
[CV]  c1=0.6680601760856615, c2=0.030821751449418677, score=0.800196 -   1.3s
[CV] c1=0.34013498370735146, c2=0.04496001129824112 ..................
[CV]  c1=0.34013498370735146, c2=0.04496001129824112, score=0.759193 -   1.6s
[CV] c1=0.41226819365152784, c2=0.0380649767408738 ...................
[CV]  c1=0.41226819365152784, c2=0.0380649767408738, score=0.841166 -   1.6s
[CV] c1=0.12486818277276217, c2=0.03993012961810546 ..................
[CV]  c1=0.12486818277276217, c2=0.03993012961810546, score=0.841254 -   1.8s
[CV] c1=1.995841243862453, c2=0.05513479059611918 ....................
[CV]  c1=1.995841243862453, c2=0.05513479059611918, score=0.723976 -   1.5s
[CV] c1=0.10954489664904803, c2=0.006160010506592973 .................
[CV]  c1=0.10954489664904803, c2=0.006160010506592973, score=0.811314 -   1.3s
[CV] c1=0.10737511891161533, c2=0.021143174084020493 .................
[CV]  c1=0.10737511891161533, c2=0.021143174084020493, score=0.851105 -   1.6s
[CV] c1=0.39009815842129836, c2=0.005384354858256155 .................
[CV]  c1=0.39009815842129836, c2=0.005384354858256155, score=0.861876 -   1.4s
[CV] c1=0.15285831904905026, c2=0.13357381139837018 ..................
[CV]  c1=0.15285831904905026, c2=0.13357381139837018, score=0.861675 -   1.4s
[CV] c1=0.746963719324078, c2=0.11621398010241633 ....................
[CV]  c1=0.746963719324078, c2=0.11621398010241633, score=0.711506 -   1.2s
[CV] c1=0.5002909833831706, c2=0.006915823986436244 ..................
[CV]  c1=0.5002909833831706, c2=0.006915823986436244, score=0.841954 -   1.6s
[CV] c1=0.11728725173093679, c2=0.016312172977757913 .................
[CV]  c1=0.11728725173093679, c2=0.016312172977757913, score=0.807634 -   1.3s
[CV] c1=0.20591067225223017, c2=0.05215477930011434 ..................
[CV]  c1=0.20591067225223017, c2=0.05215477930011434, score=0.873445 -   1.4s
[CV] c1=0.1318608956126033, c2=0.03526535477742084 ...................
[CV]  c1=0.1318608956126033, c2=0.03526535477742084, score=0.791300 -   1.5s
[CV] c1=0.27529684183145364, c2=0.007695494932309018 .................
[CV]  c1=0.27529684183145364, c2=0.007695494932309018, score=0.803023 -   1.2s
[CV] c1=1.4263801333227386, c2=0.06507807385224453 ...................
[CV]  c1=1.4263801333227386, c2=0.06507807385224453, score=0.844010 -   1.5s
[CV] c1=0.5770271542658759, c2=0.10849474747024697 ...................
[CV]  c1=0.5770271542658759, c2=0.10849474747024697, score=0.886337 -   1.6s
[CV] c1=1.995841243862453, c2=0.05513479059611918 ....................
[CV]  c1=1.995841243862453, c2=0.05513479059611918, score=0.799461 -   1.5s
[CV] c1=0.10974318572116201, c2=0.07210279659417348 ..................
[CV]  c1=0.10974318572116201, c2=0.07210279659417348, score=0.810481 -   1.2s
[CV] c1=0.5396226209274689, c2=0.03670707310220498 ...................
[CV]  c1=0.5396226209274689, c2=0.03670707310220498, score=0.721758 -   1.5s
[CV] c1=0.5802501538168788, c2=0.01940508726225271 ...................
[CV]  c1=0.5802501538168788, c2=0.01940508726225271, score=0.843068 -   1.5s
[CV] c1=0.4403537170464873, c2=0.007237556270422058 ..................
[CV]  c1=0.4403537170464873, c2=0.007237556270422058, score=0.835121 -   1.4s
[CV] c1=1.9729299100743076, c2=0.0023477681623358068 .................
[CV]  c1=1.9729299100743076, c2=0.0023477681623358068, score=0.617311 -   1.7s
[CV] c1=1.197756378841269, c2=0.018472952535320827 ...................
[CV]  c1=1.197756378841269, c2=0.018472952535320827, score=0.705820 -   1.7s
[CV] c1=0.017262275834004612, c2=0.1428694483169299 ..................
[CV]  c1=0.017262275834004612, c2=0.1428694483169299, score=0.877599 -   1.5s
[CV] c1=0.6076537857459339, c2=0.01883646917609991 ...................
[CV]  c1=0.6076537857459339, c2=0.01883646917609991, score=0.895807 -   1.5s
[CV] c1=0.8374752494307607, c2=0.012109042087458522 ..................
[CV]  c1=0.8374752494307607, c2=0.012109042087458522, score=0.888547 -   1.6s
[CV] c1=0.4450300696778118, c2=0.007621383593932918 ..................
[CV]  c1=0.4450300696778118, c2=0.007621383593932918, score=0.762120 -   1.6s
[CV] c1=0.26150615938542243, c2=0.03027455131788803 ..................
[CV]  c1=0.26150615938542243, c2=0.03027455131788803, score=0.907255 -   1.5s
[CV] c1=0.11490834624036528, c2=0.008320748096844802 .................
[CV]  c1=0.11490834624036528, c2=0.008320748096844802, score=0.840803 -   1.5s
[CV] c1=0.7221079011359293, c2=0.013497749483922026 ..................
[CV]  c1=0.7221079011359293, c2=0.013497749483922026, score=0.755660 -   1.3s
[CV] c1=0.6297299771108417, c2=0.017796814910037966 ..................
[CV]  c1=0.6297299771108417, c2=0.017796814910037966, score=0.803571 -   1.5s
[CV] c1=0.33581937644507037, c2=0.05385589355555764 ..................
[CV]  c1=0.33581937644507037, c2=0.05385589355555764, score=0.859573 -   1.5s
[CV] c1=0.15285831904905026, c2=0.13357381139837018 ..................
[CV]  c1=0.15285831904905026, c2=0.13357381139837018, score=0.831969 -   1.4s
[CV] c1=0.3016583487323354, c2=0.005427293745730814 ..................
[CV]  c1=0.3016583487323354, c2=0.005427293745730814, score=0.778326 -   1.7s
[CV] c1=0.017241436323006044, c2=0.009137873384830532 ................
[CV]  c1=0.017241436323006044, c2=0.009137873384830532, score=0.859063 -   1.5s
[CV] c1=1.223610964733207, c2=0.02282297647927181 ....................
[CV]  c1=1.223610964733207, c2=0.02282297647927181, score=0.766181 -   1.5s
[CV] c1=0.3214647411277119, c2=0.09696013713388944 ...................
[CV]  c1=0.3214647411277119, c2=0.09696013713388944, score=0.817491 -   1.6s
[CV] c1=0.8374752494307607, c2=0.012109042087458522 ..................
[CV]  c1=0.8374752494307607, c2=0.012109042087458522, score=0.733097 -   1.3s
[CV] c1=0.3515934525710165, c2=0.0018802837388816912 .................
[CV]  c1=0.3515934525710165, c2=0.0018802837388816912, score=0.859573 -   1.5s
[CV] c1=0.08644366128034044, c2=0.03946131642583428 ..................
[CV]  c1=0.08644366128034044, c2=0.03946131642583428, score=0.897267 -   1.5s
[CV] c1=0.11490834624036528, c2=0.008320748096844802 .................
[CV]  c1=0.11490834624036528, c2=0.008320748096844802, score=0.884596 -   1.6s
[CV] c1=0.09869262858710923, c2=0.005487390723826579 .................
[CV]  c1=0.09869262858710923, c2=0.005487390723826579, score=0.816535 -   1.3s
[CV] c1=0.28939519375038014, c2=0.12175996314889775 ..................
[CV]  c1=0.28939519375038014, c2=0.12175996314889775, score=0.855304 -   1.6s
[CV] c1=0.33581937644507037, c2=0.05385589355555764 ..................
[CV]  c1=0.33581937644507037, c2=0.05385589355555764, score=0.784367 -   1.6s
[CV] c1=0.0822310685139671, c2=0.10610622619639175 ...................
[CV]  c1=0.0822310685139671, c2=0.10610622619639175, score=0.883272 -   1.5s
[CV] c1=0.19177624509320212, c2=0.011935575242994394 .................
[CV]  c1=0.19177624509320212, c2=0.011935575242994394, score=0.856585 -   1.6s
[CV] c1=0.8167253422038809, c2=0.13137461218202223 ...................
[CV]  c1=0.8167253422038809, c2=0.13137461218202223, score=0.873316 -   1.5s
[CV] c1=0.4855183551252322, c2=0.06570208876453044 ...................
[CV]  c1=0.4855183551252322, c2=0.06570208876453044, score=0.856888 -   1.5s
[CV] c1=0.31376477426382476, c2=0.07388434938263239 ..................
[CV]  c1=0.31376477426382476, c2=0.07388434938263239, score=0.890817 -   1.5s
[CV] c1=0.34013498370735146, c2=0.04496001129824112 ..................
[CV]  c1=0.34013498370735146, c2=0.04496001129824112, score=0.908403 -   1.6s
[CV] c1=0.41226819365152784, c2=0.0380649767408738 ...................
[CV]  c1=0.41226819365152784, c2=0.0380649767408738, score=0.807648 -   1.2s
[CV] c1=0.08644366128034044, c2=0.03946131642583428 ..................
[CV]  c1=0.08644366128034044, c2=0.03946131642583428, score=0.831778 -   1.6s
[CV] c1=0.6585201577982158, c2=0.0659138740462471 ....................
[CV]  c1=0.6585201577982158, c2=0.0659138740462471, score=0.801316 -   1.5s
[CV] c1=0.7221079011359293, c2=0.013497749483922026 ..................
[CV]  c1=0.7221079011359293, c2=0.013497749483922026, score=0.803571 -   1.5s
[CV] c1=0.5396226209274689, c2=0.03670707310220498 ...................
[CV]  c1=0.5396226209274689, c2=0.03670707310220498, score=0.827357 -   1.5s
[CV] c1=0.5802501538168788, c2=0.01940508726225271 ...................
[CV]  c1=0.5802501538168788, c2=0.01940508726225271, score=0.811984 -   1.5s
[CV] c1=0.03768539151039848, c2=0.019464136457914574 .................
[CV]  c1=0.03768539151039848, c2=0.019464136457914574, score=0.864370 -   1.5s
[CV] c1=0.19177624509320212, c2=0.011935575242994394 .................
[CV]  c1=0.19177624509320212, c2=0.011935575242994394, score=0.791093 -   1.6s
[CV] c1=0.3629587508138205, c2=0.01499919334686997 ...................
[CV]  c1=0.3629587508138205, c2=0.01499919334686997, score=0.857318 -   1.5s
[CV] c1=0.4855183551252322, c2=0.06570208876453044 ...................
[CV]  c1=0.4855183551252322, c2=0.06570208876453044, score=0.726644 -   1.5s
[CV] c1=0.06734183912149885, c2=0.0019997628996362353 ................
[CV]  c1=0.06734183912149885, c2=0.0019997628996362353, score=0.796573 -   1.6s
[CV] c1=0.1397112264626095, c2=0.03992961676555939 ...................
[CV]  c1=0.1397112264626095, c2=0.03992961676555939, score=0.875863 -   1.7s
[CV] c1=0.41226819365152784, c2=0.0380649767408738 ...................
[CV]  c1=0.41226819365152784, c2=0.0380649767408738, score=0.759290 -   1.6s
[CV] c1=0.12486818277276217, c2=0.03993012961810546 ..................
[CV]  c1=0.12486818277276217, c2=0.03993012961810546, score=0.861804 -   1.6s
[CV] c1=0.006186126778203435, c2=0.02129939133276789 .................
[CV]  c1=0.006186126778203435, c2=0.02129939133276789, score=0.824969 -   1.6s
[CV] c1=0.10974318572116201, c2=0.07210279659417348 ..................
[CV]  c1=0.10974318572116201, c2=0.07210279659417348, score=0.789991 -   1.6s
[CV] c1=0.037588618095124475, c2=0.07775246446885949 .................
[CV]  c1=0.037588618095124475, c2=0.07775246446885949, score=0.857037 -   1.6s
[CV] c1=1.0867751403195114, c2=0.00045573431392236484 ................
[CV]  c1=1.0867751403195114, c2=0.00045573431392236484, score=0.721777 -   1.2s
[CV] c1=0.0822310685139671, c2=0.10610622619639175 ...................
[CV]  c1=0.0822310685139671, c2=0.10610622619639175, score=0.843976 -   1.6s
[CV] c1=1.2032588671959543, c2=0.015858498283525275 ..................
[CV]  c1=1.2032588671959543, c2=0.015858498283525275, score=0.697110 -   1.5s
[CV] c1=0.8167253422038809, c2=0.13137461218202223 ...................
[CV]  c1=0.8167253422038809, c2=0.13137461218202223, score=0.773907 -   1.7s
[CV] c1=0.21616298769703937, c2=0.007394852894261242 .................
[CV]  c1=0.21616298769703937, c2=0.007394852894261242, score=0.797545 -   1.4s
[CV] c1=0.31376477426382476, c2=0.07388434938263239 ..................
[CV]  c1=0.31376477426382476, c2=0.07388434938263239, score=0.857318 -   1.5s
[CV] c1=0.34013498370735146, c2=0.04496001129824112 ..................
[CV]  c1=0.34013498370735146, c2=0.04496001129824112, score=0.859573 -   1.6s
[CV] c1=1.4263801333227386, c2=0.06507807385224453 ...................
[CV]  c1=1.4263801333227386, c2=0.06507807385224453, score=0.700404 -   1.2s
[CV] c1=0.26150615938542243, c2=0.03027455131788803 ..................
[CV]  c1=0.26150615938542243, c2=0.03027455131788803, score=0.909243 -   1.5s
[CV] c1=0.6585201577982158, c2=0.0659138740462471 ....................
[CV]  c1=0.6585201577982158, c2=0.0659138740462471, score=0.845693 -   1.6s
[CV] c1=0.030867400808899177, c2=0.01751658363247369 .................
[CV]  c1=0.030867400808899177, c2=0.01751658363247369, score=0.861157 -   1.5s
[CV] c1=0.037588618095124475, c2=0.07775246446885949 .................
[CV]  c1=0.037588618095124475, c2=0.07775246446885949, score=0.883272 -   1.5s
[CV] c1=0.39009815842129836, c2=0.005384354858256155 .................
[CV]  c1=0.39009815842129836, c2=0.005384354858256155, score=0.761411 -   1.5s
[CV] c1=0.19777251824517397, c2=0.07367386884623009 ..................
[CV]  c1=0.19777251824517397, c2=0.07367386884623009, score=0.868318 -   1.5s
[CV] c1=1.9729299100743076, c2=0.0023477681623358068 .................
[CV]  c1=1.9729299100743076, c2=0.0023477681623358068, score=0.801208 -   1.5s
[CV] c1=0.5002909833831706, c2=0.006915823986436244 ..................
[CV]  c1=0.5002909833831706, c2=0.006915823986436244, score=0.829912 -   1.5s
[CV] c1=0.1919684344833468, c2=0.009622890225494465 ..................
[CV]  c1=0.1919684344833468, c2=0.009622890225494465, score=0.890545 -   1.7s
[CV] c1=0.24188393992092258, c2=0.009499009334844086 .................
[CV]  c1=0.24188393992092258, c2=0.009499009334844086, score=0.861876 -   1.6s
[CV] c1=0.02353556757317748, c2=0.019178611367526337 .................
[CV]  c1=0.02353556757317748, c2=0.019178611367526337, score=0.883272 -   1.4s
[CV] c1=0.45150201338909074, c2=0.014078573170963081 .................
[CV]  c1=0.45150201338909074, c2=0.014078573170963081, score=0.839967 -   1.6s
[CV] c1=0.5739309580586962, c2=0.049212579726414116 ..................
[CV]  c1=0.5739309580586962, c2=0.049212579726414116, score=0.768512 -   1.2s
[CV] c1=0.1208205695721092, c2=0.08877272604930601 ...................
[CV]  c1=0.1208205695721092, c2=0.08877272604930601, score=0.885741 -   1.5s
[CV] c1=0.0073677296293403974, c2=0.028191337678104108 ...............
[CV]  c1=0.0073677296293403974, c2=0.028191337678104108, score=0.827470 -   1.2s
[CV] c1=0.10974318572116201, c2=0.07210279659417348 ..................
[CV]  c1=0.10974318572116201, c2=0.07210279659417348, score=0.866462 -   1.5s
[CV] c1=0.037588618095124475, c2=0.07775246446885949 .................
[CV]  c1=0.037588618095124475, c2=0.07775246446885949, score=0.851436 -   1.5s
[CV] c1=0.23942424210950508, c2=0.05652294745675432 ..................
[CV]  c1=0.23942424210950508, c2=0.05652294745675432, score=0.855250 -   1.3s
[CV] c1=0.4403537170464873, c2=0.007237556270422058 ..................
[CV]  c1=0.4403537170464873, c2=0.007237556270422058, score=0.797896 -   0.9s
[CV] c1=2.4515856705505654, c2=0.0071264529879295525 .................
[CV]  c1=2.4515856705505654, c2=0.0071264529879295525, score=0.597422 -   1.6s
[CV] c1=1.2032588671959543, c2=0.015858498283525275 ..................
[CV]  c1=1.2032588671959543, c2=0.015858498283525275, score=0.752644 -   1.5s
[CV] c1=1.3709511936503236, c2=0.008224362753116533 ..................
[CV]  c1=1.3709511936503236, c2=0.008224362753116533, score=0.721666 -   1.3s
[CV] c1=0.24672655876225524, c2=0.024201393482838326 .................
[CV]  c1=0.24672655876225524, c2=0.024201393482838326, score=0.775335 -   1.3s
[CV] c1=0.6076537857459339, c2=0.01883646917609991 ...................
[CV]  c1=0.6076537857459339, c2=0.01883646917609991, score=0.885128 -   1.6s
[CV] c1=0.1397112264626095, c2=0.03992961676555939 ...................
[CV]  c1=0.1397112264626095, c2=0.03992961676555939, score=0.799708 -   1.6s
[CV] c1=0.1668480059591339, c2=0.0017711711060656094 .................
[CV]  c1=0.1668480059591339, c2=0.0017711711060656094, score=0.838124 -   1.7s
[CV] c1=0.12486818277276217, c2=0.03993012961810546 ..................
[CV]  c1=0.12486818277276217, c2=0.03993012961810546, score=0.794292 -   1.3s
[CV] c1=0.6585201577982158, c2=0.0659138740462471 ....................
[CV]  c1=0.6585201577982158, c2=0.0659138740462471, score=0.708356 -   1.6s
[CV] c1=0.030867400808899177, c2=0.01751658363247369 .................
[CV]  c1=0.030867400808899177, c2=0.01751658363247369, score=0.861697 -   1.6s
[CV] c1=0.10737511891161533, c2=0.021143174084020493 .................
[CV]  c1=0.10737511891161533, c2=0.021143174084020493, score=0.845943 -   1.6s
[CV] c1=0.23942424210950508, c2=0.05652294745675432 ..................
[CV]  c1=0.23942424210950508, c2=0.05652294745675432, score=0.892585 -   1.5s
[CV] c1=0.4403537170464873, c2=0.007237556270422058 ..................
[CV]  c1=0.4403537170464873, c2=0.007237556270422058, score=0.745759 -   1.4s
[CV] c1=1.9729299100743076, c2=0.0023477681623358068 .................
[CV]  c1=1.9729299100743076, c2=0.0023477681623358068, score=0.657572 -   1.2s
[CV] c1=0.461321901177629, c2=0.1726915571961826 .....................
[CV]  c1=0.461321901177629, c2=0.1726915571961826, score=0.866169 -   1.6s
[CV] c1=0.6453798788371033, c2=0.04156956894478607 ...................
[CV]  c1=0.6453798788371033, c2=0.04156956894478607, score=0.755780 -   1.4s
[CV] c1=0.21616298769703937, c2=0.007394852894261242 .................
[CV]  c1=0.21616298769703937, c2=0.007394852894261242, score=0.783341 -   1.8s
[CV] c1=0.1318608956126033, c2=0.03526535477742084 ...................
[CV]  c1=0.1318608956126033, c2=0.03526535477742084, score=0.794292 -   1.4s
[CV] c1=0.8530123463084863, c2=0.030011486975785963 ..................
[CV]  c1=0.8530123463084863, c2=0.030011486975785963, score=0.683822 -   1.8s
[CV] c1=0.009854400583862125, c2=0.008241780616000862 ................
[CV]  c1=0.009854400583862125, c2=0.008241780616000862, score=0.809398 -   1.6s
[CV] c1=0.052812223674163036, c2=0.17639288651454293 .................
[CV]  c1=0.052812223674163036, c2=0.17639288651454293, score=0.846573 -   1.6s
[CV] c1=0.0073677296293403974, c2=0.028191337678104108 ...............
[CV]  c1=0.0073677296293403974, c2=0.028191337678104108, score=0.855597 -   1.5s
[CV] c1=1.0575806054339854, c2=0.012796868041708445 ..................
[CV]  c1=1.0575806054339854, c2=0.012796868041708445, score=0.722701 -   1.2s
[CV] c1=0.14050570933510353, c2=0.09514926376752575 ..................
[CV]  c1=0.14050570933510353, c2=0.09514926376752575, score=0.899059 -   1.5s
[CV] c1=1.0867751403195114, c2=0.00045573431392236484 ................
[CV]  c1=1.0867751403195114, c2=0.00045573431392236484, score=0.869188 -   1.4s
[CV] c1=0.15285831904905026, c2=0.13357381139837018 ..................
[CV]  c1=0.15285831904905026, c2=0.13357381139837018, score=0.795704 -   1.6s
[CV] c1=0.746963719324078, c2=0.11621398010241633 ....................
[CV]  c1=0.746963719324078, c2=0.11621398010241633, score=0.742129 -   1.6s
[CV] c1=0.000225497202432697, c2=0.006382001444831549 ................
[CV]  c1=0.000225497202432697, c2=0.006382001444831549, score=0.787407 -   1.6s
[CV] c1=0.4855183551252322, c2=0.06570208876453044 ...................
[CV]  c1=0.4855183551252322, c2=0.06570208876453044, score=0.827682 -   1.5s
[CV] c1=0.06734183912149885, c2=0.0019997628996362353 ................
[CV]  c1=0.06734183912149885, c2=0.0019997628996362353, score=0.804990 -   1.2s
[CV] c1=1.2942814899622352, c2=0.35624159868917415 ...................
[CV]  c1=1.2942814899622352, c2=0.35624159868917415, score=0.584569 -   1.7s
[CV] c1=0.4450300696778118, c2=0.007621383593932918 ..................
[CV]  c1=0.4450300696778118, c2=0.007621383593932918, score=0.855628 -   1.5s
[CV] c1=0.08644366128034044, c2=0.03946131642583428 ..................
[CV]  c1=0.08644366128034044, c2=0.03946131642583428, score=0.799708 -   1.6s
[CV] c1=0.6585201577982158, c2=0.0659138740462471 ....................
[CV]  c1=0.6585201577982158, c2=0.0659138740462471, score=0.879936 -   1.6s
[CV] c1=0.7221079011359293, c2=0.013497749483922026 ..................
[CV]  c1=0.7221079011359293, c2=0.013497749483922026, score=0.697519 -   1.6s
[CV] c1=0.10737511891161533, c2=0.021143174084020493 .................
[CV]  c1=0.10737511891161533, c2=0.021143174084020493, score=0.799708 -   1.6s
[CV] c1=0.39009815842129836, c2=0.005384354858256155 .................
[CV]  c1=0.39009815842129836, c2=0.005384354858256155, score=0.828581 -   1.5s
[CV] c1=0.4403537170464873, c2=0.007237556270422058 ..................
[CV]  c1=0.4403537170464873, c2=0.007237556270422058, score=0.898721 -   1.5s
[CV] c1=0.3016583487323354, c2=0.005427293745730814 ..................
[CV]  c1=0.3016583487323354, c2=0.005427293745730814, score=0.898960 -   1.6s
[CV] c1=1.197756378841269, c2=0.018472952535320827 ...................
[CV]  c1=1.197756378841269, c2=0.018472952535320827, score=0.689485 -   1.2s
[CV] c1=0.6453798788371033, c2=0.04156956894478607 ...................
[CV]  c1=0.6453798788371033, c2=0.04156956894478607, score=0.840798 -   1.7s
[CV] c1=0.24188393992092258, c2=0.009499009334844086 .................
[CV]  c1=0.24188393992092258, c2=0.009499009334844086, score=0.902926 -   1.4s
[CV] c1=0.1318608956126033, c2=0.03526535477742084 ...................
[CV]  c1=0.1318608956126033, c2=0.03526535477742084, score=0.873445 -   1.6s
[CV] c1=0.45150201338909074, c2=0.014078573170963081 .................
[CV]  c1=0.45150201338909074, c2=0.014078573170963081, score=0.899526 -   1.5s
[CV] c1=0.009854400583862125, c2=0.008241780616000862 ................
[CV]  c1=0.009854400583862125, c2=0.008241780616000862, score=0.859906 -   1.4s
[CV] c1=0.052812223674163036, c2=0.17639288651454293 .................
[CV]  c1=0.052812223674163036, c2=0.17639288651454293, score=0.782512 -   1.6s
[CV] c1=0.5510708188975199, c2=0.03926438724957261 ...................
[CV]  c1=0.5510708188975199, c2=0.03926438724957261, score=0.822800 -   1.5s
[CV] c1=0.10954489664904803, c2=0.006160010506592973 .................
[CV]  c1=0.10954489664904803, c2=0.006160010506592973, score=0.797318 -   1.6s
[CV] c1=0.14050570933510353, c2=0.09514926376752575 ..................
[CV]  c1=0.14050570933510353, c2=0.09514926376752575, score=0.862046 -   1.7s
[CV] c1=2.9129105918020897, c2=0.006443971997515791 ..................
[CV]  c1=2.9129105918020897, c2=0.006443971997515791, score=0.613641 -   1.0s
[CV] c1=1.1554071387592453, c2=0.028745460240687578 ..................
[CV]  c1=1.1554071387592453, c2=0.028745460240687578, score=0.790491 -   1.2s
[CV] c1=1.4221346066835803, c2=0.010135371349075249 ..................
[CV]  c1=1.4221346066835803, c2=0.010135371349075249, score=0.623418 -   1.6s
[CV] c1=0.461321901177629, c2=0.1726915571961826 .....................
[CV]  c1=0.461321901177629, c2=0.1726915571961826, score=0.828593 -   1.7s
[CV] c1=0.1919684344833468, c2=0.009622890225494465 ..................
[CV]  c1=0.1919684344833468, c2=0.009622890225494465, score=0.788112 -   1.6s
[CV] c1=0.24188393992092258, c2=0.009499009334844086 .................
[CV]  c1=0.24188393992092258, c2=0.009499009334844086, score=0.871820 -   1.7s
[CV] c1=1.2942814899622352, c2=0.35624159868917415 ...................
[CV]  c1=1.2942814899622352, c2=0.35624159868917415, score=0.607165 -   1.6s
[CV] c1=0.4450300696778118, c2=0.007621383593932918 ..................
[CV]  c1=0.4450300696778118, c2=0.007621383593932918, score=0.908688 -   1.6s
[CV] c1=0.08644366128034044, c2=0.03946131642583428 ..................
[CV]  c1=0.08644366128034044, c2=0.03946131642583428, score=0.863073 -   1.5s
[CV] c1=0.11490834624036528, c2=0.008320748096844802 .................
[CV]  c1=0.11490834624036528, c2=0.008320748096844802, score=0.860719 -   1.5s
[CV] c1=0.09869262858710923, c2=0.005487390723826579 .................
[CV]  c1=0.09869262858710923, c2=0.005487390723826579, score=0.864654 -   1.5s
[CV] c1=0.7113733657664203, c2=0.014484035501668331 ..................
[CV]  c1=0.7113733657664203, c2=0.014484035501668331, score=0.716735 -   2.0s
[CV] c1=0.23942424210950508, c2=0.05652294745675432 ..................
[CV]  c1=0.23942424210950508, c2=0.05652294745675432, score=0.785026 -   1.4s
[CV] c1=0.0822310685139671, c2=0.10610622619639175 ...................
[CV]  c1=0.0822310685139671, c2=0.10610622619639175, score=0.807191 -   1.3s
[CV] c1=0.3424142735091473, c2=0.06501033135296214 ...................
[CV]  c1=0.3424142735091473, c2=0.06501033135296214, score=0.857318 -   1.5s
[CV] c1=0.000225497202432697, c2=0.006382001444831549 ................
[CV]  c1=0.000225497202432697, c2=0.006382001444831549, score=0.769402 -   1.2s
[CV] c1=0.11728725173093679, c2=0.016312172977757913 .................
[CV]  c1=0.11728725173093679, c2=0.016312172977757913, score=0.840803 -   1.5s
[CV] c1=0.02363012750319212, c2=0.029373189132846908 .................
[CV]  c1=0.02363012750319212, c2=0.029373189132846908, score=0.820159 -   1.5s
[CV] c1=0.02353556757317748, c2=0.019178611367526337 .................
[CV]  c1=0.02353556757317748, c2=0.019178611367526337, score=0.840523 -   1.4s
[CV] c1=0.0045847723007544266, c2=0.030022229935984836 ...............
[CV]  c1=0.0045847723007544266, c2=0.030022229935984836, score=0.873004 -   1.4s
[CV] c1=0.38120957433783675, c2=0.1684324011924385 ...................
[CV]  c1=0.38120957433783675, c2=0.1684324011924385, score=0.829894 -   1.4s
[CV] c1=0.1208205695721092, c2=0.08877272604930601 ...................
[CV]  c1=0.1208205695721092, c2=0.08877272604930601, score=0.800993 -   1.3s
[CV] c1=1.995841243862453, c2=0.05513479059611918 ....................
[CV]  c1=1.995841243862453, c2=0.05513479059611918, score=0.620300 -   1.5s
[CV] c1=0.10954489664904803, c2=0.006160010506592973 .................
[CV]  c1=0.10954489664904803, c2=0.006160010506592973, score=0.885767 -   1.6s
[CV] c1=0.14050570933510353, c2=0.09514926376752575 ..................
[CV]  c1=0.14050570933510353, c2=0.09514926376752575, score=0.789991 -   1.6s
[CV] c1=1.0867751403195114, c2=0.00045573431392236484 ................
[CV]  c1=1.0867751403195114, c2=0.00045573431392236484, score=0.784915 -   1.2s
[CV] c1=1.1554071387592453, c2=0.028745460240687578 ..................
[CV]  c1=1.1554071387592453, c2=0.028745460240687578, score=0.709910 -   1.5s
[CV] c1=1.9729299100743076, c2=0.0023477681623358068 .................
[CV]  c1=1.9729299100743076, c2=0.0023477681623358068, score=0.615276 -   1.6s
[CV] c1=1.197756378841269, c2=0.018472952535320827 ...................
[CV]  c1=1.197756378841269, c2=0.018472952535320827, score=0.872469 -   1.6s
[CV] c1=0.11728725173093679, c2=0.016312172977757913 .................
[CV]  c1=0.11728725173093679, c2=0.016312172977757913, score=0.797318 -   1.6s
[CV] c1=0.3214647411277119, c2=0.09696013713388944 ...................
[CV]  c1=0.3214647411277119, c2=0.09696013713388944, score=0.791770 -   1.3s
[CV] c1=0.3517468283710527, c2=0.08737215718172892 ...................
[CV]  c1=0.3517468283710527, c2=0.08737215718172892, score=0.825836 -   1.6s
[CV] c1=0.0045847723007544266, c2=0.030022229935984836 ...............
[CV]  c1=0.0045847723007544266, c2=0.030022229935984836, score=0.818706 -   1.6s
[CV] c1=0.7290061283357349, c2=0.0226338614959946 ....................
[CV]  c1=0.7290061283357349, c2=0.0226338614959946, score=0.882074 -   1.6s
[CV] c1=0.16657027772063845, c2=0.1043219347328926 ...................
[CV]  c1=0.16657027772063845, c2=0.1043219347328926, score=0.868868 -   1.5s
[CV] c1=0.2997716466086792, c2=0.10534698444205069 ...................
[CV]  c1=0.2997716466086792, c2=0.10534698444205069, score=0.776754 -   1.8s
[CV] c1=0.7113733657664203, c2=0.014484035501668331 ..................
[CV]  c1=0.7113733657664203, c2=0.014484035501668331, score=0.840798 -   1.6s
[CV] c1=0.5802501538168788, c2=0.01940508726225271 ...................
[CV]  c1=0.5802501538168788, c2=0.01940508726225271, score=0.725951 -   1.6s
[CV] c1=1.0409718487095327, c2=0.06179098141643054 ...................
[CV]  c1=1.0409718487095327, c2=0.06179098141643054, score=0.638619 -   1.7s
[CV] c1=0.746963719324078, c2=0.11621398010241633 ....................
[CV]  c1=0.746963719324078, c2=0.11621398010241633, score=0.777926 -   1.5s
[CV] c1=0.017241436323006044, c2=0.009137873384830532 ................
[CV]  c1=0.017241436323006044, c2=0.009137873384830532, score=0.788174 -   1.6s
[CV] c1=1.223610964733207, c2=0.02282297647927181 ....................
[CV]  c1=1.223610964733207, c2=0.02282297647927181, score=0.670782 -   1.6s
[CV] c1=0.6076537857459339, c2=0.01883646917609991 ...................
[CV]  c1=0.6076537857459339, c2=0.01883646917609991, score=0.717951 -   1.7s
[CV] c1=0.1397112264626095, c2=0.03992961676555939 ...................
[CV]  c1=0.1397112264626095, c2=0.03992961676555939, score=0.857318 -   1.5s
[CV] c1=0.1668480059591339, c2=0.0017711711060656094 .................
[CV]  c1=0.1668480059591339, c2=0.0017711711060656094, score=0.866611 -   1.5s
[CV] c1=0.26150615938542243, c2=0.03027455131788803 ..................
[CV]  c1=0.26150615938542243, c2=0.03027455131788803, score=0.859573 -   1.5s
[CV] c1=0.6585201577982158, c2=0.0659138740462471 ....................
[CV]  c1=0.6585201577982158, c2=0.0659138740462471, score=0.748275 -   1.3s
[CV] c1=0.09869262858710923, c2=0.005487390723826579 .................
[CV]  c1=0.09869262858710923, c2=0.005487390723826579, score=0.891503 -   1.6s
[CV] c1=0.7113733657664203, c2=0.014484035501668331 ..................
[CV]  c1=0.7113733657664203, c2=0.014484035501668331, score=0.886776 -   1.5s
[CV] c1=0.006395123362131518, c2=0.00343822944218413 .................
[CV]  c1=0.006395123362131518, c2=0.00343822944218413, score=0.882328 -   1.5s
[CV] c1=0.19777251824517397, c2=0.07367386884623009 ..................
[CV]  c1=0.19777251824517397, c2=0.07367386884623009, score=0.787617 -   1.3s
[CV] c1=1.4221346066835803, c2=0.010135371349075249 ..................
[CV]  c1=1.4221346066835803, c2=0.010135371349075249, score=0.867927 -   1.5s
[CV] c1=0.461321901177629, c2=0.1726915571961826 .....................
[CV]  c1=0.461321901177629, c2=0.1726915571961826, score=0.698025 -   1.9s
[CV] c1=0.11728725173093679, c2=0.016312172977757913 .................
[CV]  c1=0.11728725173093679, c2=0.016312172977757913, score=0.880478 -   1.6s
[CV] c1=0.02363012750319212, c2=0.029373189132846908 .................
[CV]  c1=0.02363012750319212, c2=0.029373189132846908, score=0.829246 -   1.3s
[CV] c1=0.3517468283710527, c2=0.08737215718172892 ...................
[CV]  c1=0.3517468283710527, c2=0.08737215718172892, score=0.779408 -   1.2s
[CV] c1=0.8530123463084863, c2=0.030011486975785963 ..................
[CV]  c1=0.8530123463084863, c2=0.030011486975785963, score=0.802881 -   1.5s
[CV] c1=1.4263801333227386, c2=0.06507807385224453 ...................
[CV]  c1=1.4263801333227386, c2=0.06507807385224453, score=0.718437 -   1.4s
[CV] c1=0.5770271542658759, c2=0.10849474747024697 ...................
[CV]  c1=0.5770271542658759, c2=0.10849474747024697, score=0.783955 -   1.5s
[CV] c1=1.995841243862453, c2=0.05513479059611918 ....................
[CV]  c1=1.995841243862453, c2=0.05513479059611918, score=0.714387 -   1.3s
[CV] c1=0.030867400808899177, c2=0.01751658363247369 .................
[CV]  c1=0.030867400808899177, c2=0.01751658363247369, score=0.790400 -   1.4s
[CV] c1=0.10737511891161533, c2=0.021143174084020493 .................
[CV]  c1=0.10737511891161533, c2=0.021143174084020493, score=0.805964 -   1.2s
[CV] c1=0.006395123362131518, c2=0.00343822944218413 .................
[CV]  c1=0.006395123362131518, c2=0.00343822944218413, score=0.863005 -   1.5s
[CV] c1=0.17310036056728986, c2=0.024546462863782644 .................
[CV]  c1=0.17310036056728986, c2=0.024546462863782644, score=0.872994 -   1.7s
[CV] c1=1.5482214432197545, c2=0.026585676559004928 ..................
[CV]  c1=1.5482214432197545, c2=0.026585676559004928, score=0.868896 -   1.5s
[CV] c1=0.3629587508138205, c2=0.01499919334686997 ...................
[CV]  c1=0.3629587508138205, c2=0.01499919334686997, score=0.861355 -   1.6s
[CV] c1=0.24672655876225524, c2=0.024201393482838326 .................
[CV]  c1=0.24672655876225524, c2=0.024201393482838326, score=0.774046 -   1.6s
[CV] c1=0.31376477426382476, c2=0.07388434938263239 ..................
[CV]  c1=0.31376477426382476, c2=0.07388434938263239, score=0.765507 -   1.7s
[CV] c1=0.8530123463084863, c2=0.030011486975785963 ..................
[CV]  c1=0.8530123463084863, c2=0.030011486975785963, score=0.713838 -   1.3s
[CV] c1=0.41226819365152784, c2=0.0380649767408738 ...................
[CV]  c1=0.41226819365152784, c2=0.0380649767408738, score=0.895508 -   1.6s
[CV] c1=0.12486818277276217, c2=0.03993012961810546 ..................
[CV]  c1=0.12486818277276217, c2=0.03993012961810546, score=0.799708 -   1.6s
[CV] c1=0.006186126778203435, c2=0.02129939133276789 .................
[CV]  c1=0.006186126778203435, c2=0.02129939133276789, score=0.821138 -   1.6s
[CV] c1=0.030867400808899177, c2=0.01751658363247369 .................
[CV]  c1=0.030867400808899177, c2=0.01751658363247369, score=0.824258 -   1.6s
[CV] c1=0.037588618095124475, c2=0.07775246446885949 .................
[CV]  c1=0.037588618095124475, c2=0.07775246446885949, score=0.799708 -   1.6s
[CV] c1=0.23942424210950508, c2=0.05652294745675432 ..................
[CV]  c1=0.23942424210950508, c2=0.05652294745675432, score=0.841377 -   1.5s
[CV] c1=0.03768539151039848, c2=0.019464136457914574 .................
[CV]  c1=0.03768539151039848, c2=0.019464136457914574, score=0.833822 -   1.2s
[CV] c1=0.746963719324078, c2=0.11621398010241633 ....................
[CV]  c1=0.746963719324078, c2=0.11621398010241633, score=0.677170 -   1.6s
[CV] c1=0.000225497202432697, c2=0.006382001444831549 ................
[CV]  c1=0.000225497202432697, c2=0.006382001444831549, score=0.871580 -   1.5s
[CV] c1=0.017262275834004612, c2=0.1428694483169299 ..................
[CV]  c1=0.017262275834004612, c2=0.1428694483169299, score=0.777410 -   1.2s
[CV] c1=0.02363012750319212, c2=0.029373189132846908 .................
[CV]  c1=0.02363012750319212, c2=0.029373189132846908, score=0.797749 -   1.6s
[CV] c1=0.02353556757317748, c2=0.019178611367526337 .................
[CV]  c1=0.02353556757317748, c2=0.019178611367526337, score=0.784808 -   1.6s
[CV] c1=0.3515934525710165, c2=0.0018802837388816912 .................
[CV]  c1=0.3515934525710165, c2=0.0018802837388816912, score=0.800292 -   1.3s
[CV] c1=0.5739309580586962, c2=0.049212579726414116 ..................
[CV]  c1=0.5739309580586962, c2=0.049212579726414116, score=0.882323 -   1.5s
[CV] c1=0.1475628970098523, c2=0.05230964179108454 ...................
[CV]  c1=0.1475628970098523, c2=0.05230964179108454, score=0.811379 -   1.3s
[CV] c1=0.0073677296293403974, c2=0.028191337678104108 ...............
[CV]  c1=0.0073677296293403974, c2=0.028191337678104108, score=0.793334 -   1.6s
[CV] c1=1.0575806054339854, c2=0.012796868041708445 ..................
[CV]  c1=1.0575806054339854, c2=0.012796868041708445, score=0.879172 -   1.5s
[CV] c1=0.4266497053357882, c2=0.010136848997696549 ..................
[CV]  c1=0.4266497053357882, c2=0.010136848997696549, score=0.798558 -   1.3s
[CV] c1=1.0867751403195114, c2=0.00045573431392236484 ................
[CV]  c1=1.0867751403195114, c2=0.00045573431392236484, score=0.673708 -   1.4s
[CV] c1=0.15285831904905026, c2=0.13357381139837018 ..................
[CV]  c1=0.15285831904905026, c2=0.13357381139837018, score=0.883879 -   1.5s
[CV] c1=0.3016583487323354, c2=0.005427293745730814 ..................
[CV]  c1=0.3016583487323354, c2=0.005427293745730814, score=0.861876 -   1.5s
[CV] c1=1.197756378841269, c2=0.018472952535320827 ...................
[CV]  c1=1.197756378841269, c2=0.018472952535320827, score=0.648029 -   1.6s
[CV] c1=1.223610964733207, c2=0.02282297647927181 ....................
[CV]  c1=1.223610964733207, c2=0.02282297647927181, score=0.870258 -   1.5s
[CV] c1=0.3214647411277119, c2=0.09696013713388944 ...................
[CV]  c1=0.3214647411277119, c2=0.09696013713388944, score=0.879486 -   1.5s
[CV] c1=1.2942814899622352, c2=0.35624159868917415 ...................
[CV]  c1=1.2942814899622352, c2=0.35624159868917415, score=0.713209 -   1.2s
[CV] c1=0.45150201338909074, c2=0.014078573170963081 .................
[CV]  c1=0.45150201338909074, c2=0.014078573170963081, score=0.741506 -   1.6s
[CV] c1=0.38120957433783675, c2=0.1684324011924385 ...................
[CV]  c1=0.38120957433783675, c2=0.1684324011924385, score=0.808595 -   1.6s
[CV] c1=0.1475628970098523, c2=0.05230964179108454 ...................
[CV]  c1=0.1475628970098523, c2=0.05230964179108454, score=0.793675 -   1.6s
[CV] c1=0.1918658439608935, c2=0.075344742452826 .....................
[CV]  c1=0.1918658439608935, c2=0.075344742452826, score=0.787617 -   1.6s
[CV] c1=0.28939519375038014, c2=0.12175996314889775 ..................
[CV]  c1=0.28939519375038014, c2=0.12175996314889775, score=0.860045 -   1.5s
[CV] c1=0.21083682700888007, c2=0.045549993898385446 .................
[CV]  c1=0.21083682700888007, c2=0.045549993898385446, score=0.859550 -   1.5s
[CV] c1=0.5419001994020408, c2=0.03197120480642586 ...................
[CV]  c1=0.5419001994020408, c2=0.03197120480642586, score=0.743727 -   0.9s
[CV] c1=1.1554071387592453, c2=0.028745460240687578 ..................
[CV]  c1=1.1554071387592453, c2=0.028745460240687578, score=0.717950 -   1.1s
[CV] c1=2.4515856705505654, c2=0.0071264529879295525 .................
[CV]  c1=2.4515856705505654, c2=0.0071264529879295525, score=0.688976 -   1.6s
[CV] c1=1.2032588671959543, c2=0.015858498283525275 ..................
[CV]  c1=1.2032588671959543, c2=0.015858498283525275, score=0.705052 -   1.7s
[CV] c1=0.6453798788371033, c2=0.04156956894478607 ...................
[CV]  c1=0.6453798788371033, c2=0.04156956894478607, score=0.701631 -   1.6s
[CV] c1=0.20591067225223017, c2=0.05215477930011434 ..................
[CV]  c1=0.20591067225223017, c2=0.05215477930011434, score=0.854763 -   1.6s
[CV] c1=0.3517468283710527, c2=0.08737215718172892 ...................
[CV]  c1=0.3517468283710527, c2=0.08737215718172892, score=0.879486 -   1.5s
[CV] c1=0.45150201338909074, c2=0.014078573170963081 .................
[CV]  c1=0.45150201338909074, c2=0.014078573170963081, score=0.804940 -   1.4s
[CV] c1=0.009854400583862125, c2=0.008241780616000862 ................
[CV]  c1=0.009854400583862125, c2=0.008241780616000862, score=0.835576 -   1.3s
[CV] c1=0.5770271542658759, c2=0.10849474747024697 ...................
[CV]  c1=0.5770271542658759, c2=0.10849474747024697, score=0.801316 -   1.6s
[CV] c1=1.995841243862453, c2=0.05513479059611918 ....................
[CV]  c1=1.995841243862453, c2=0.05513479059611918, score=0.573108 -   1.7s
[CV] c1=0.10954489664904803, c2=0.006160010506592973 .................
[CV]  c1=0.10954489664904803, c2=0.006160010506592973, score=0.867552 -   1.5s
[CV] c1=0.14050570933510353, c2=0.09514926376752575 ..................
[CV]  c1=0.14050570933510353, c2=0.09514926376752575, score=0.858847 -   1.6s
[CV] c1=1.0867751403195114, c2=0.00045573431392236484 ................
[CV]  c1=1.0867751403195114, c2=0.00045573431392236484, score=0.709910 -   1.3s
[CV] c1=1.1554071387592453, c2=0.028745460240687578 ..................
[CV]  c1=1.1554071387592453, c2=0.028745460240687578, score=0.874326 -   1.4s
[CV] c1=1.4221346066835803, c2=0.010135371349075249 ..................
[CV]  c1=1.4221346066835803, c2=0.010135371349075249, score=0.744495 -   1.4s
[CV] c1=0.461321901177629, c2=0.1726915571961826 .....................
[CV]  c1=0.461321901177629, c2=0.1726915571961826, score=0.763938 -   1.3s
[CV] c1=1.3709511936503236, c2=0.008224362753116533 ..................
[CV]  c1=1.3709511936503236, c2=0.008224362753116533, score=0.777750 -   1.5s
[CV] c1=0.21616298769703937, c2=0.007394852894261242 .................
[CV]  c1=0.21616298769703937, c2=0.007394852894261242, score=0.858415 -   1.6s
[CV] c1=0.6680601760856615, c2=0.030821751449418677 ..................
[CV]  c1=0.6680601760856615, c2=0.030821751449418677, score=0.801316 -   1.7s
[CV] c1=0.27529684183145364, c2=0.007695494932309018 .................
[CV]  c1=0.27529684183145364, c2=0.007695494932309018, score=0.859573 -   1.7s
[CV] c1=0.38120957433783675, c2=0.1684324011924385 ...................
[CV]  c1=0.38120957433783675, c2=0.1684324011924385, score=0.753327 -   1.4s
[CV] c1=0.052812223674163036, c2=0.17639288651454293 .................
[CV]  c1=0.052812223674163036, c2=0.17639288651454293, score=0.851065 -   1.6s
[CV] c1=0.5510708188975199, c2=0.03926438724957261 ...................
[CV]  c1=0.5510708188975199, c2=0.03926438724957261, score=0.830324 -   1.7s
[CV] c1=1.0575806054339854, c2=0.012796868041708445 ..................
[CV]  c1=1.0575806054339854, c2=0.012796868041708445, score=0.657625 -   1.6s
[CV] c1=0.4266497053357882, c2=0.010136848997696549 ..................
[CV]  c1=0.4266497053357882, c2=0.010136848997696549, score=0.853325 -   1.5s
[CV] c1=2.9129105918020897, c2=0.006443971997515791 ..................
[CV]  c1=2.9129105918020897, c2=0.006443971997515791, score=0.693845 -   1.2s
[CV] c1=1.0409718487095327, c2=0.06179098141643054 ...................
[CV]  c1=1.0409718487095327, c2=0.06179098141643054, score=0.722910 -   1.0s
[CV] c1=1.4221346066835803, c2=0.010135371349075249 ..................
[CV]  c1=1.4221346066835803, c2=0.010135371349075249, score=0.712409 -   1.1s
[CV] c1=1.2032588671959543, c2=0.015858498283525275 ..................
[CV]  c1=1.2032588671959543, c2=0.015858498283525275, score=0.867897 -   1.6s
[CV] c1=1.3709511936503236, c2=0.008224362753116533 ..................
[CV]  c1=1.3709511936503236, c2=0.008224362753116533, score=0.874335 -   1.6s
[CV] c1=0.24672655876225524, c2=0.024201393482838326 .................
[CV]  c1=0.24672655876225524, c2=0.024201393482838326, score=0.872870 -   1.7s
[CV] c1=0.6680601760856615, c2=0.030821751449418677 ..................
[CV]  c1=0.6680601760856615, c2=0.030821751449418677, score=0.708356 -   1.7s
[CV] c1=0.27529684183145364, c2=0.007695494932309018 .................
[CV]  c1=0.27529684183145364, c2=0.007695494932309018, score=0.770772 -   1.7s
[CV] c1=0.38120957433783675, c2=0.1684324011924385 ...................
[CV]  c1=0.38120957433783675, c2=0.1684324011924385, score=0.866772 -   1.6s
[CV] c1=0.1208205695721092, c2=0.08877272604930601 ...................
[CV]  c1=0.1208205695721092, c2=0.08877272604930601, score=0.862046 -   1.5s
[CV] c1=0.0073677296293403974, c2=0.028191337678104108 ...............
[CV]  c1=0.0073677296293403974, c2=0.028191337678104108, score=0.880051 -   1.6s
[CV] c1=0.10954489664904803, c2=0.006160010506592973 .................
[CV]  c1=0.10954489664904803, c2=0.006160010506592973, score=0.876725 -   1.6s
[CV] c1=0.4266497053357882, c2=0.010136848997696549 ..................
[CV]  c1=0.4266497053357882, c2=0.010136848997696549, score=0.743267 -   1.6s
[CV] c1=2.9129105918020897, c2=0.006443971997515791 ..................
[CV]  c1=2.9129105918020897, c2=0.006443971997515791, score=0.530054 -   1.2s
[CV] c1=0.17310036056728986, c2=0.024546462863782644 .................
[CV]  c1=0.17310036056728986, c2=0.024546462863782644, score=0.788968 -   1.6s
[CV] c1=0.19177624509320212, c2=0.011935575242994394 .................
[CV]  c1=0.19177624509320212, c2=0.011935575242994394, score=0.813990 -   1.3s
[CV] c1=0.017241436323006044, c2=0.009137873384830532 ................
[CV]  c1=0.017241436323006044, c2=0.009137873384830532, score=0.824180 -   1.6s
[CV] c1=0.017262275834004612, c2=0.1428694483169299 ..................
[CV]  c1=0.017262275834004612, c2=0.1428694483169299, score=0.785590 -   1.6s
[CV] c1=0.06734183912149885, c2=0.0019997628996362353 ................
[CV]  c1=0.06734183912149885, c2=0.0019997628996362353, score=0.875056 -   1.4s
[CV] c1=0.8374752494307607, c2=0.012109042087458522 ..................
[CV]  c1=0.8374752494307607, c2=0.012109042087458522, score=0.818250 -   1.4s
[CV] c1=0.4450300696778118, c2=0.007621383593932918 ..................
[CV]  c1=0.4450300696778118, c2=0.007621383593932918, score=0.807005 -   1.2s
[CV] c1=0.5739309580586962, c2=0.049212579726414116 ..................
[CV]  c1=0.5739309580586962, c2=0.049212579726414116, score=0.839657 -   1.6s
[CV] c1=0.16657027772063845, c2=0.1043219347328926 ...................
[CV]  c1=0.16657027772063845, c2=0.1043219347328926, score=0.797957 -   1.3s
[CV] c1=0.0073677296293403974, c2=0.028191337678104108 ...............
[CV]  c1=0.0073677296293403974, c2=0.028191337678104108, score=0.824969 -   1.6s
[CV] c1=0.28939519375038014, c2=0.12175996314889775 ..................
[CV]  c1=0.28939519375038014, c2=0.12175996314889775, score=0.764566 -   1.3s
[CV] c1=0.4266497053357882, c2=0.010136848997696549 ..................
[CV]  c1=0.4266497053357882, c2=0.010136848997696549, score=0.897491 -   1.6s
[CV] c1=2.9129105918020897, c2=0.006443971997515791 ..................
[CV]  c1=2.9129105918020897, c2=0.006443971997515791, score=0.589272 -   1.2s
[CV] c1=0.15285831904905026, c2=0.13357381139837018 ..................
[CV]  c1=0.15285831904905026, c2=0.13357381139837018, score=0.823260 -   1.6s
[CV] c1=0.3424142735091473, c2=0.06501033135296214 ...................
[CV]  c1=0.3424142735091473, c2=0.06501033135296214, score=0.768098 -   1.6s
[CV] c1=0.3629587508138205, c2=0.01499919334686997 ...................
[CV]  c1=0.3629587508138205, c2=0.01499919334686997, score=0.924957 -   1.5s
[CV] c1=0.4855183551252322, c2=0.06570208876453044 ...................
[CV]  c1=0.4855183551252322, c2=0.06570208876453044, score=0.886829 -   1.6s
[CV] c1=0.06734183912149885, c2=0.0019997628996362353 ................
[CV]  c1=0.06734183912149885, c2=0.0019997628996362353, score=0.861320 -   1.4s
[CV] c1=0.1397112264626095, c2=0.03992961676555939 ...................
[CV]  c1=0.1397112264626095, c2=0.03992961676555939, score=0.816082 -   1.1s
[CV] c1=0.0045847723007544266, c2=0.030022229935984836 ...............
[CV]  c1=0.0045847723007544266, c2=0.030022229935984836, score=0.824631 -   1.5s
[CV] c1=0.7290061283357349, c2=0.0226338614959946 ....................
[CV]  c1=0.7290061283357349, c2=0.0226338614959946, score=0.763069 -   1.3s
[CV] c1=0.1475628970098523, c2=0.05230964179108454 ...................
[CV]  c1=0.1475628970098523, c2=0.05230964179108454, score=0.890545 -   1.5s
[CV] c1=0.1918658439608935, c2=0.075344742452826 .....................
[CV]  c1=0.1918658439608935, c2=0.075344742452826, score=0.899059 -   1.5s
[CV] c1=0.28939519375038014, c2=0.12175996314889775 ..................
[CV]  c1=0.28939519375038014, c2=0.12175996314889775, score=0.890817 -   1.5s
[CV] c1=0.21083682700888007, c2=0.045549993898385446 .................
[CV]  c1=0.21083682700888007, c2=0.045549993898385446, score=0.811844 -   1.3s
[CV] c1=2.9129105918020897, c2=0.006443971997515791 ..................
[CV]  c1=2.9129105918020897, c2=0.006443971997515791, score=0.699630 -   1.3s
[CV] c1=1.0409718487095327, c2=0.06179098141643054 ...................
[CV]  c1=1.0409718487095327, c2=0.06179098141643054, score=0.853681 -   1.6s
[CV] c1=0.746963719324078, c2=0.11621398010241633 ....................
[CV]  c1=0.746963719324078, c2=0.11621398010241633, score=0.873835 -   1.6s
[CV] c1=0.017241436323006044, c2=0.009137873384830532 ................
[CV]  c1=0.017241436323006044, c2=0.009137873384830532, score=0.828635 -   1.2s
[CV] c1=0.1919684344833468, c2=0.009622890225494465 ..................
[CV]  c1=0.1919684344833468, c2=0.009622890225494465, score=0.873321 -   1.6s
[CV] c1=0.02363012750319212, c2=0.029373189132846908 .................
[CV]  c1=0.02363012750319212, c2=0.029373189132846908, score=0.848350 -   1.5s
[CV] c1=0.02353556757317748, c2=0.019178611367526337 .................
[CV]  c1=0.02353556757317748, c2=0.019178611367526337, score=0.861157 -   1.5s
[CV] c1=0.0045847723007544266, c2=0.030022229935984836 ...............
[CV]  c1=0.0045847723007544266, c2=0.030022229935984836, score=0.836694 -   1.2s
[CV] c1=0.009854400583862125, c2=0.008241780616000862 ................
[CV]  c1=0.009854400583862125, c2=0.008241780616000862, score=0.838934 -   1.6s
[CV] c1=0.1208205695721092, c2=0.08877272604930601 ...................
[CV]  c1=0.1208205695721092, c2=0.08877272604930601, score=0.789991 -   2.0s
[CV] c1=0.1918658439608935, c2=0.075344742452826 .....................
[CV]  c1=0.1918658439608935, c2=0.075344742452826, score=0.873445 -   1.6s
[CV] c1=0.6297299771108417, c2=0.017796814910037966 ..................
[CV]  c1=0.6297299771108417, c2=0.017796814910037966, score=0.766917 -   1.3s
[CV] c1=0.21083682700888007, c2=0.045549993898385446 .................
[CV]  c1=0.21083682700888007, c2=0.045549993898385446, score=0.885341 -   1.5s
[CV] c1=0.5419001994020408, c2=0.03197120480642586 ...................
[CV]  c1=0.5419001994020408, c2=0.03197120480642586, score=0.898053 -   1.1s
Training done in: 21.875658s
     Saving training model...
        Saving training model done in: 0.013698s
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Prediction done in: 0.036240s