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

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Run3_v10.txt 70.7 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: Run3
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: FalseS4: False
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: 0.003731s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0      1
0       lemma      :
1      postag      :
2    -1:lemma     in
3   -1:postag     IN
4    +1:lemma     m9
5   +1:postag     NN
6        word      :
7     isUpper  False
8     isLower  False
9     isGreek  False
10   isNumber  False
11    -1:word     in
12    +1:word     M9
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.1718172650660396, c2=0.08360344111719004 ...................
[CV]  c1=0.1718172650660396, c2=0.08360344111719004, score=0.837026 -   1.4s
[CV] c1=0.09433803942380013, c2=0.006386921666813868 .................
[CV]  c1=0.09433803942380013, c2=0.006386921666813868, score=0.823674 -   1.4s
[CV] c1=0.7997019225701891, c2=0.0022736080177765483 .................
[CV]  c1=0.7997019225701891, c2=0.0022736080177765483, score=0.844432 -   1.4s
[CV] c1=0.371962287978505, c2=0.006017085732612338 ...................
[CV]  c1=0.371962287978505, c2=0.006017085732612338, score=0.779759 -   1.4s
[CV] c1=0.01779758403765963, c2=0.011433061888451543 .................
[CV]  c1=0.01779758403765963, c2=0.011433061888451543, score=0.867368 -   1.3s
[CV] c1=2.347646690788734, c2=0.026553966476118518 ...................
[CV]  c1=2.347646690788734, c2=0.026553966476118518, score=0.608089 -   1.4s
[CV] c1=0.03414555619377757, c2=0.06228070846546721 ..................
[CV]  c1=0.03414555619377757, c2=0.06228070846546721, score=0.679069 -   1.1s
[CV] c1=0.40324364423339865, c2=0.004404806265278039 .................
[CV]  c1=0.40324364423339865, c2=0.004404806265278039, score=0.898243 -   1.5s
[CV] c1=0.0511774138935537, c2=0.022440163401647808 ..................
[CV]  c1=0.0511774138935537, c2=0.022440163401647808, score=0.850943 -   1.3s
[CV] c1=0.9894817278449799, c2=0.01923722292713351 ...................
[CV]  c1=0.9894817278449799, c2=0.01923722292713351, score=0.773935 -   1.3s
[CV] c1=0.30046294475090096, c2=0.0548106313509438 ...................
[CV]  c1=0.30046294475090096, c2=0.0548106313509438, score=0.824409 -   1.3s
[CV] c1=0.5036307020531068, c2=0.017940393439809795 ..................
[CV]  c1=0.5036307020531068, c2=0.017940393439809795, score=0.682186 -   1.1s
[CV] c1=0.1176632385783932, c2=0.059241430075473736 ..................
[CV]  c1=0.1176632385783932, c2=0.059241430075473736, score=0.873206 -   1.3s
[CV] c1=0.37221815499116995, c2=0.193229647196852 ....................
[CV]  c1=0.37221815499116995, c2=0.193229647196852, score=0.821480 -   1.3s
[CV] c1=0.2332237468657368, c2=0.02972974970700832 ...................
[CV]  c1=0.2332237468657368, c2=0.02972974970700832, score=0.668577 -   1.1s
[CV] c1=0.061412482839619524, c2=3.3201165394903586e-05 ..............
[CV]  c1=0.061412482839619524, c2=3.3201165394903586e-05, score=0.829723 -   1.4s
[CV] c1=0.3065071313212848, c2=0.005387848271391566 ..................
[CV]  c1=0.3065071313212848, c2=0.005387848271391566, score=0.905427 -   1.3s
[CV] c1=0.29913651428672083, c2=0.03824374812989132 ..................
[CV]  c1=0.29913651428672083, c2=0.03824374812989132, score=0.891554 -   1.4s
[CV] c1=0.27437660977018996, c2=0.023575607252695686 .................
[CV]  c1=0.27437660977018996, c2=0.023575607252695686, score=0.901458 -   1.4s
[CV] c1=0.5904238199676781, c2=0.10993516560563021 ...................
[CV]  c1=0.5904238199676781, c2=0.10993516560563021, score=0.714873 -   1.4s
[CV] c1=0.16045343613300173, c2=0.08249473920430356 ..................
[CV]  c1=0.16045343613300173, c2=0.08249473920430356, score=0.790098 -   1.7s
[CV] c1=0.21024987615188248, c2=0.026723000960507205 .................
[CV]  c1=0.21024987615188248, c2=0.026723000960507205, score=0.836418 -   1.3s
[CV] c1=0.2138416527040747, c2=0.048252693300706084 ..................
[CV]  c1=0.2138416527040747, c2=0.048252693300706084, score=0.836418 -   1.3s
[CV] c1=0.5155617482539018, c2=0.22980753729579578 ...................
[CV]  c1=0.5155617482539018, c2=0.22980753729579578, score=0.803615 -   1.3s
[CV] c1=0.03884248816520052, c2=0.025373609572080694 .................
[CV]  c1=0.03884248816520052, c2=0.025373609572080694, score=0.781398 -   1.4s
[CV] c1=0.21847468106634166, c2=0.06438152237697357 ..................
[CV]  c1=0.21847468106634166, c2=0.06438152237697357, score=0.897817 -   1.4s
[CV] c1=0.7712606360558824, c2=0.07892108365466645 ...................
[CV]  c1=0.7712606360558824, c2=0.07892108365466645, score=0.643516 -   1.1s
[CV] c1=0.371962287978505, c2=0.006017085732612338 ...................
[CV]  c1=0.371962287978505, c2=0.006017085732612338, score=0.808864 -   1.4s
[CV] c1=0.01779758403765963, c2=0.011433061888451543 .................
[CV]  c1=0.01779758403765963, c2=0.011433061888451543, score=0.830028 -   1.4s
[CV] c1=0.5570744317602155, c2=0.09700437944132101 ...................
[CV]  c1=0.5570744317602155, c2=0.09700437944132101, score=0.714873 -   1.4s
[CV] c1=0.03414555619377757, c2=0.06228070846546721 ..................
[CV]  c1=0.03414555619377757, c2=0.06228070846546721, score=0.787542 -   1.3s
[CV] c1=0.12762079172918972, c2=0.06266293494222526 ..................
[CV]  c1=0.12762079172918972, c2=0.06266293494222526, score=0.664235 -   1.1s
[CV] c1=0.0511774138935537, c2=0.022440163401647808 ..................
[CV]  c1=0.0511774138935537, c2=0.022440163401647808, score=0.682017 -   1.1s
[CV] c1=0.8915269238050452, c2=0.023093761564585886 ..................
[CV]  c1=0.8915269238050452, c2=0.023093761564585886, score=0.852075 -   1.3s
[CV] c1=0.2138416527040747, c2=0.048252693300706084 ..................
[CV]  c1=0.2138416527040747, c2=0.048252693300706084, score=0.817789 -   1.4s
[CV] c1=0.5155617482539018, c2=0.22980753729579578 ...................
[CV]  c1=0.5155617482539018, c2=0.22980753729579578, score=0.768923 -   1.4s
[CV] c1=0.13225689392403883, c2=0.02393772570549243 ..................
[CV]  c1=0.13225689392403883, c2=0.02393772570549243, score=0.655763 -   0.7s
[CV] c1=0.09780371899379489, c2=0.09087957209111587 ..................
[CV]  c1=0.09780371899379489, c2=0.09087957209111587, score=0.882049 -   1.4s
[CV] c1=1.531607061812668, c2=0.03277018751655638 ....................
[CV]  c1=1.531607061812668, c2=0.03277018751655638, score=0.799222 -   1.4s
[CV] c1=0.6766970562332139, c2=0.01957355321937916 ...................
[CV]  c1=0.6766970562332139, c2=0.01957355321937916, score=0.850861 -   1.3s
[CV] c1=0.4407990468164254, c2=0.08040524189682652 ...................
[CV]  c1=0.4407990468164254, c2=0.08040524189682652, score=0.663495 -   1.2s
[CV] c1=0.1787919379043906, c2=0.00010399598390936041 ................
[CV]  c1=0.1787919379043906, c2=0.00010399598390936041, score=0.670636 -   1.2s
[CV] c1=2.347646690788734, c2=0.026553966476118518 ...................
[CV]  c1=2.347646690788734, c2=0.026553966476118518, score=0.764626 -   1.4s
[CV] c1=0.03414555619377757, c2=0.06228070846546721 ..................
[CV]  c1=0.03414555619377757, c2=0.06228070846546721, score=0.874875 -   1.4s
[CV] c1=1.803807720575281, c2=0.010418442391347753 ...................
[CV]  c1=1.803807720575281, c2=0.010418442391347753, score=0.496249 -   1.1s
[CV] c1=0.9790726384895557, c2=0.24484470587926863 ...................
[CV]  c1=0.9790726384895557, c2=0.24484470587926863, score=0.574397 -   1.4s
[CV] c1=0.9894817278449799, c2=0.01923722292713351 ...................
[CV]  c1=0.9894817278449799, c2=0.01923722292713351, score=0.657914 -   1.1s
[CV] c1=0.08945343111663426, c2=0.015722933284548723 .................
[CV]  c1=0.08945343111663426, c2=0.015722933284548723, score=0.677092 -   1.1s
[CV] c1=0.3302051404657842, c2=0.044120320996721765 ..................
[CV]  c1=0.3302051404657842, c2=0.044120320996721765, score=0.811645 -   1.4s
[CV] c1=0.1176632385783932, c2=0.059241430075473736 ..................
[CV]  c1=0.1176632385783932, c2=0.059241430075473736, score=0.678186 -   1.1s
[CV] c1=0.10685650282406478, c2=0.0708414370012702 ...................
[CV]  c1=0.10685650282406478, c2=0.0708414370012702, score=0.784885 -   1.4s
[CV] c1=0.2332237468657368, c2=0.02972974970700832 ...................
[CV]  c1=0.2332237468657368, c2=0.02972974970700832, score=0.801465 -   1.4s
[CV] c1=0.52928133500324, c2=0.06782110052547002 .....................
[CV]  c1=0.52928133500324, c2=0.06782110052547002, score=0.872141 -   1.4s
[CV] c1=0.5458748308714377, c2=0.037922773723828206 ..................
[CV]  c1=0.5458748308714377, c2=0.037922773723828206, score=0.829197 -   1.3s
[CV] c1=1.5351239733972184, c2=0.03336348022562407 ...................
[CV]  c1=1.5351239733972184, c2=0.03336348022562407, score=0.544789 -   1.4s
[CV] c1=0.2262305822981693, c2=0.04004049503354718 ...................
[CV]  c1=0.2262305822981693, c2=0.04004049503354718, score=0.668577 -   1.0s
[CV] c1=0.4817707379044255, c2=0.018343938604544634 ..................
[CV]  c1=0.4817707379044255, c2=0.018343938604544634, score=0.887716 -   1.3s
[CV] c1=0.007622093860511741, c2=0.0013294005278163855 ...............
[CV]  c1=0.007622093860511741, c2=0.0013294005278163855, score=0.868245 -   1.4s
[CV] c1=0.21024987615188248, c2=0.026723000960507205 .................
[CV]  c1=0.21024987615188248, c2=0.026723000960507205, score=0.903328 -   1.4s
[CV] c1=0.2138416527040747, c2=0.048252693300706084 ..................
[CV]  c1=0.2138416527040747, c2=0.048252693300706084, score=0.899324 -   1.4s
[CV] c1=0.5155617482539018, c2=0.22980753729579578 ...................
[CV]  c1=0.5155617482539018, c2=0.22980753729579578, score=0.858845 -   1.4s
[CV] c1=0.08691517980075586, c2=0.16138003113504668 ..................
[CV]  c1=0.08691517980075586, c2=0.16138003113504668, score=0.868046 -   1.2s
[CV] c1=0.6155749781707837, c2=0.008835570580562236 ..................
[CV]  c1=0.6155749781707837, c2=0.008835570580562236, score=0.769585 -   1.4s
[CV] c1=0.37601185222930333, c2=0.004691215184293134 .................
[CV]  c1=0.37601185222930333, c2=0.004691215184293134, score=0.778959 -   1.5s
[CV] c1=0.34499001042404354, c2=0.021753709976295586 .................
[CV]  c1=0.34499001042404354, c2=0.021753709976295586, score=0.830804 -   1.4s
[CV] c1=0.41627516046551705, c2=0.08184497601139706 ..................
[CV]  c1=0.41627516046551705, c2=0.08184497601139706, score=0.660618 -   1.1s
[CV] c1=0.29913651428672083, c2=0.03824374812989132 ..................
[CV]  c1=0.29913651428672083, c2=0.03824374812989132, score=0.772797 -   1.4s
[CV] c1=0.27437660977018996, c2=0.023575607252695686 .................
[CV]  c1=0.27437660977018996, c2=0.023575607252695686, score=0.808814 -   1.4s
[CV] c1=0.18322396353247228, c2=0.011248570229634035 .................
[CV]  c1=0.18322396353247228, c2=0.011248570229634035, score=0.844590 -   1.3s
[CV] c1=0.2865793796399091, c2=0.1365100353090478 ....................
[CV]  c1=0.2865793796399091, c2=0.1365100353090478, score=0.762680 -   1.4s
[CV] c1=0.2590065735500138, c2=0.05242293530338659 ...................
[CV]  c1=0.2590065735500138, c2=0.05242293530338659, score=0.835790 -   1.4s
[CV] c1=0.9416675458808417, c2=0.007034125009784915 ..................
[CV]  c1=0.9416675458808417, c2=0.007034125009784915, score=0.589918 -   1.4s
[CV] c1=0.5155617482539018, c2=0.22980753729579578 ...................
[CV]  c1=0.5155617482539018, c2=0.22980753729579578, score=0.712766 -   1.4s
[CV] c1=0.1718172650660396, c2=0.08360344111719004 ...................
[CV]  c1=0.1718172650660396, c2=0.08360344111719004, score=0.811645 -   1.3s
[CV] c1=0.09433803942380013, c2=0.006386921666813868 .................
[CV]  c1=0.09433803942380013, c2=0.006386921666813868, score=0.878805 -   1.3s
[CV] c1=0.09757620186526485, c2=0.0008419215351651368 ................
[CV]  c1=0.09757620186526485, c2=0.0008419215351651368, score=0.819120 -   1.4s
[CV] c1=0.52928133500324, c2=0.06782110052547002 .....................
[CV]  c1=0.52928133500324, c2=0.06782110052547002, score=0.778295 -   1.4s
[CV] c1=0.05555657710027336, c2=0.05612199161545885 ..................
[CV]  c1=0.05555657710027336, c2=0.05612199161545885, score=0.671078 -   1.1s
[CV] c1=0.07531272489236245, c2=0.02077708856953625 ..................
[CV]  c1=0.07531272489236245, c2=0.02077708856953625, score=0.811859 -   1.4s
[CV] c1=1.1529405720254258, c2=0.0018409053215938137 .................
[CV]  c1=1.1529405720254258, c2=0.0018409053215938137, score=0.576868 -   1.4s
[CV] c1=0.4817707379044255, c2=0.018343938604544634 ..................
[CV]  c1=0.4817707379044255, c2=0.018343938604544634, score=0.747586 -   1.5s
[CV] c1=0.9790726384895557, c2=0.24484470587926863 ...................
[CV]  c1=0.9790726384895557, c2=0.24484470587926863, score=0.554465 -   1.2s
[CV] c1=0.21024987615188248, c2=0.026723000960507205 .................
[CV]  c1=0.21024987615188248, c2=0.026723000960507205, score=0.806990 -   1.4s
[CV] c1=0.08945343111663426, c2=0.015722933284548723 .................
[CV]  c1=0.08945343111663426, c2=0.015722933284548723, score=0.870192 -   1.4s
[CV] c1=1.1941808551277688, c2=0.06814201211405557 ...................
[CV]  c1=1.1941808551277688, c2=0.06814201211405557, score=0.817127 -   1.4s
[CV] c1=0.005659430862979175, c2=0.04103790771240323 .................
[CV]  c1=0.005659430862979175, c2=0.04103790771240323, score=0.830028 -   1.2s
[CV] c1=0.10685650282406478, c2=0.0708414370012702 ...................
[CV]  c1=0.10685650282406478, c2=0.0708414370012702, score=0.848620 -   1.3s
[CV] c1=0.37601185222930333, c2=0.004691215184293134 .................
[CV]  c1=0.37601185222930333, c2=0.004691215184293134, score=0.808864 -   1.4s
[CV] c1=0.34499001042404354, c2=0.021753709976295586 .................
[CV]  c1=0.34499001042404354, c2=0.021753709976295586, score=0.671603 -   1.1s
[CV] c1=0.3065071313212848, c2=0.005387848271391566 ..................
[CV]  c1=0.3065071313212848, c2=0.005387848271391566, score=0.698819 -   1.1s
[CV] c1=0.13002827530948066, c2=0.0013682544388588737 ................
[CV]  c1=0.13002827530948066, c2=0.0013682544388588737, score=0.714025 -   1.1s
[CV] c1=0.7973515088327506, c2=0.013737751060545412 ..................
[CV]  c1=0.7973515088327506, c2=0.013737751060545412, score=0.849798 -   1.4s
[CV] c1=0.4313703821649066, c2=0.11496137021992328 ...................
[CV]  c1=0.4313703821649066, c2=0.11496137021992328, score=0.657042 -   1.1s
[CV] c1=0.40324364423339865, c2=0.004404806265278039 .................
[CV]  c1=0.40324364423339865, c2=0.004404806265278039, score=0.779342 -   1.6s
[CV] c1=1.5342152075221749, c2=0.042410566102017 .....................
[CV]  c1=1.5342152075221749, c2=0.042410566102017, score=0.539180 -   1.4s
[CV] c1=0.018013571391409775, c2=0.0003804545837364183 ...............
[CV]  c1=0.018013571391409775, c2=0.0003804545837364183, score=0.700615 -   1.0s
[CV] c1=0.30046294475090096, c2=0.0548106313509438 ...................
[CV]  c1=0.30046294475090096, c2=0.0548106313509438, score=0.670612 -   1.2s
[CV] c1=1.1941808551277688, c2=0.06814201211405557 ...................
[CV]  c1=1.1941808551277688, c2=0.06814201211405557, score=0.631080 -   1.4s
[CV] c1=0.13225689392403883, c2=0.02393772570549243 ..................
[CV]  c1=0.13225689392403883, c2=0.02393772570549243, score=0.811645 -   1.2s
[CV] c1=0.6155749781707837, c2=0.008835570580562236 ..................
[CV]  c1=0.6155749781707837, c2=0.008835570580562236, score=0.817391 -   1.3s
[CV] c1=0.17734723596443722, c2=0.07842763475332093 ..................
[CV]  c1=0.17734723596443722, c2=0.07842763475332093, score=0.799138 -   1.6s
[CV] c1=0.34499001042404354, c2=0.021753709976295586 .................
[CV]  c1=0.34499001042404354, c2=0.021753709976295586, score=0.766431 -   1.5s
[CV] c1=0.5458748308714377, c2=0.037922773723828206 ..................
[CV]  c1=0.5458748308714377, c2=0.037922773723828206, score=0.735111 -   1.4s
[CV] c1=0.004937273003383316, c2=0.06943957477011144 .................
[CV]  c1=0.004937273003383316, c2=0.06943957477011144, score=0.700139 -   1.1s
[CV] c1=0.36229545232339794, c2=0.00393878169022789 ..................
[CV]  c1=0.36229545232339794, c2=0.00393878169022789, score=0.797045 -   1.4s
[CV] c1=0.2733072647248947, c2=0.06129706849393726 ...................
[CV]  c1=0.2733072647248947, c2=0.06129706849393726, score=0.889442 -   1.4s
[CV] c1=0.9790726384895557, c2=0.24484470587926863 ...................
[CV]  c1=0.9790726384895557, c2=0.24484470587926863, score=0.721421 -   1.3s
[CV] c1=0.8915269238050452, c2=0.023093761564585886 ..................
[CV]  c1=0.8915269238050452, c2=0.023093761564585886, score=0.676232 -   1.3s
[CV] c1=0.08945343111663426, c2=0.015722933284548723 .................
[CV]  c1=0.08945343111663426, c2=0.015722933284548723, score=0.854407 -   1.3s
[CV] c1=1.1941808551277688, c2=0.06814201211405557 ...................
[CV]  c1=1.1941808551277688, c2=0.06814201211405557, score=0.719433 -   1.3s
[CV] c1=0.1718172650660396, c2=0.08360344111719004 ...................
[CV]  c1=0.1718172650660396, c2=0.08360344111719004, score=0.879104 -   1.3s
[CV] c1=0.37221815499116995, c2=0.193229647196852 ....................
[CV]  c1=0.37221815499116995, c2=0.193229647196852, score=0.660861 -   1.1s
[CV] c1=0.17734723596443722, c2=0.07842763475332093 ..................
[CV]  c1=0.17734723596443722, c2=0.07842763475332093, score=0.817789 -   1.5s
[CV] c1=0.11839675454596203, c2=0.07084344100815868 ..................
[CV]  c1=0.11839675454596203, c2=0.07084344100815868, score=0.817664 -   1.4s
[CV] c1=0.3065071313212848, c2=0.005387848271391566 ..................
[CV]  c1=0.3065071313212848, c2=0.005387848271391566, score=0.806420 -   1.4s
[CV] c1=0.07531272489236245, c2=0.02077708856953625 ..................
[CV]  c1=0.07531272489236245, c2=0.02077708856953625, score=0.868548 -   1.4s
[CV] c1=1.1529405720254258, c2=0.0018409053215938137 .................
[CV]  c1=1.1529405720254258, c2=0.0018409053215938137, score=0.766790 -   1.3s
[CV] c1=0.18322396353247228, c2=0.011248570229634035 .................
[CV]  c1=0.18322396353247228, c2=0.011248570229634035, score=0.811645 -   1.5s
[CV] c1=0.007622093860511741, c2=0.0013294005278163855 ...............
[CV]  c1=0.007622093860511741, c2=0.0013294005278163855, score=0.824760 -   1.4s
[CV] c1=0.21024987615188248, c2=0.026723000960507205 .................
[CV]  c1=0.21024987615188248, c2=0.026723000960507205, score=0.817789 -   1.4s
[CV] c1=0.08945343111663426, c2=0.015722933284548723 .................
[CV]  c1=0.08945343111663426, c2=0.015722933284548723, score=0.819120 -   1.4s
[CV] c1=0.5036307020531068, c2=0.017940393439809795 ..................
[CV]  c1=0.5036307020531068, c2=0.017940393439809795, score=0.879507 -   1.4s
[CV] c1=0.005659430862979175, c2=0.04103790771240323 .................
[CV]  c1=0.005659430862979175, c2=0.04103790771240323, score=0.891763 -   1.3s
[CV] c1=0.37221815499116995, c2=0.193229647196852 ....................
[CV]  c1=0.37221815499116995, c2=0.193229647196852, score=0.858816 -   1.4s
[CV] c1=0.2332237468657368, c2=0.02972974970700832 ...................
[CV]  c1=0.2332237468657368, c2=0.02972974970700832, score=0.817789 -   1.3s
[CV] c1=0.11839675454596203, c2=0.07084344100815868 ..................
[CV]  c1=0.11839675454596203, c2=0.07084344100815868, score=0.781398 -   1.5s
[CV] c1=0.41627516046551705, c2=0.08184497601139706 ..................
[CV]  c1=0.41627516046551705, c2=0.08184497601139706, score=0.815798 -   1.3s
[CV] c1=1.5351239733972184, c2=0.03336348022562407 ...................
[CV]  c1=1.5351239733972184, c2=0.03336348022562407, score=0.801942 -   1.5s
[CV] c1=0.36229545232339794, c2=0.00393878169022789 ..................
[CV]  c1=0.36229545232339794, c2=0.00393878169022789, score=0.826326 -   1.3s
[CV] c1=0.4817707379044255, c2=0.018343938604544634 ..................
[CV]  c1=0.4817707379044255, c2=0.018343938604544634, score=0.824149 -   1.3s
[CV] c1=0.007622093860511741, c2=0.0013294005278163855 ...............
[CV]  c1=0.007622093860511741, c2=0.0013294005278163855, score=0.792674 -   1.5s
[CV] c1=0.8915269238050452, c2=0.023093761564585886 ..................
[CV]  c1=0.8915269238050452, c2=0.023093761564585886, score=0.788241 -   1.3s
[CV] c1=0.08945343111663426, c2=0.015722933284548723 .................
[CV]  c1=0.08945343111663426, c2=0.015722933284548723, score=0.781059 -   1.6s
[CV] c1=0.24700534134889698, c2=0.05097246106527902 ..................
[CV]  c1=0.24700534134889698, c2=0.05097246106527902, score=0.665579 -   1.2s
[CV] c1=0.03884248816520052, c2=0.025373609572080694 .................
[CV]  c1=0.03884248816520052, c2=0.025373609572080694, score=0.827589 -   1.3s
[CV] c1=0.09176764990375103, c2=0.05585754877158629 ..................
[CV]  c1=0.09176764990375103, c2=0.05585754877158629, score=0.781398 -   1.5s
[CV] c1=0.7712606360558824, c2=0.07892108365466645 ...................
[CV]  c1=0.7712606360558824, c2=0.07892108365466645, score=0.773935 -   1.3s
[CV] c1=0.2949008463640428, c2=0.07055940326839655 ...................
[CV]  c1=0.2949008463640428, c2=0.07055940326839655, score=0.668747 -   1.1s
[CV] c1=0.05555657710027336, c2=0.05612199161545885 ..................
[CV]  c1=0.05555657710027336, c2=0.05612199161545885, score=0.787542 -   1.4s
[CV] c1=2.347646690788734, c2=0.026553966476118518 ...................
[CV]  c1=2.347646690788734, c2=0.026553966476118518, score=0.521994 -   1.4s
[CV] c1=0.03414555619377757, c2=0.06228070846546721 ..................
[CV]  c1=0.03414555619377757, c2=0.06228070846546721, score=0.829207 -   1.4s
[CV] c1=0.12762079172918972, c2=0.06266293494222526 ..................
[CV]  c1=0.12762079172918972, c2=0.06266293494222526, score=0.868637 -   1.4s
[CV] c1=0.33703791403286226, c2=0.0216516241549142 ...................
[CV]  c1=0.33703791403286226, c2=0.0216516241549142, score=0.694487 -   1.1s
[CV] c1=0.9894817278449799, c2=0.01923722292713351 ...................
[CV]  c1=0.9894817278449799, c2=0.01923722292713351, score=0.589918 -   1.4s
[CV] c1=0.020283212131598262, c2=0.025811064361820676 ................
[CV]  c1=0.020283212131598262, c2=0.025811064361820676, score=0.690029 -   1.1s
[CV] c1=1.1941808551277688, c2=0.06814201211405557 ...................
[CV]  c1=1.1941808551277688, c2=0.06814201211405557, score=0.565720 -   1.4s
[CV] c1=1.1013689582751307, c2=0.03036549622980239 ...................
[CV]  c1=1.1013689582751307, c2=0.03036549622980239, score=0.766790 -   1.3s
[CV] c1=0.6827303249314758, c2=0.038355603720273294 ..................
[CV]  c1=0.6827303249314758, c2=0.038355603720273294, score=0.797475 -   1.3s
[CV] c1=0.7997019225701891, c2=0.0022736080177765483 .................
[CV]  c1=0.7997019225701891, c2=0.0022736080177765483, score=0.656476 -   1.2s
[CV] c1=0.52928133500324, c2=0.06782110052547002 .....................
[CV]  c1=0.52928133500324, c2=0.06782110052547002, score=0.730643 -   1.4s
[CV] c1=0.5458748308714377, c2=0.037922773723828206 ..................
[CV]  c1=0.5458748308714377, c2=0.037922773723828206, score=0.787866 -   1.4s
[CV] c1=0.004937273003383316, c2=0.06943957477011144 .................
[CV]  c1=0.004937273003383316, c2=0.06943957477011144, score=0.855449 -   1.3s
[CV] c1=0.2262305822981693, c2=0.04004049503354718 ...................
[CV]  c1=0.2262305822981693, c2=0.04004049503354718, score=0.815346 -   1.5s
[CV] c1=0.40324364423339865, c2=0.004404806265278039 .................
[CV]  c1=0.40324364423339865, c2=0.004404806265278039, score=0.797262 -   1.4s
[CV] c1=1.5342152075221749, c2=0.042410566102017 .....................
[CV]  c1=1.5342152075221749, c2=0.042410566102017, score=0.803792 -   1.4s
[CV] c1=0.1585208125491786, c2=0.06820023329241401 ...................
[CV]  c1=0.1585208125491786, c2=0.06820023329241401, score=0.670009 -   1.1s
[CV] c1=0.30046294475090096, c2=0.0548106313509438 ...................
[CV]  c1=0.30046294475090096, c2=0.0548106313509438, score=0.887309 -   1.5s
[CV] c1=0.5036307020531068, c2=0.017940393439809795 ..................
[CV]  c1=0.5036307020531068, c2=0.017940393439809795, score=0.800707 -   1.4s
[CV] c1=0.13225689392403883, c2=0.02393772570549243 ..................
[CV]  c1=0.13225689392403883, c2=0.02393772570549243, score=0.822982 -   1.3s
[CV] c1=0.6155749781707837, c2=0.008835570580562236 ..................
[CV]  c1=0.6155749781707837, c2=0.008835570580562236, score=0.712397 -   1.5s
[CV] c1=0.37601185222930333, c2=0.004691215184293134 .................
[CV]  c1=0.37601185222930333, c2=0.004691215184293134, score=0.701565 -   1.2s
[CV] c1=0.061412482839619524, c2=3.3201165394903586e-05 ..............
[CV]  c1=0.061412482839619524, c2=3.3201165394903586e-05, score=0.883350 -   1.4s
[CV] c1=0.157586179258399, c2=0.022159879326172204 ...................
[CV]  c1=0.157586179258399, c2=0.022159879326172204, score=0.811645 -   1.4s
[CV] c1=0.29913651428672083, c2=0.03824374812989132 ..................
[CV]  c1=0.29913651428672083, c2=0.03824374812989132, score=0.664245 -   1.2s
[CV] c1=0.9047591717375112, c2=0.011850870817830468 ..................
[CV]  c1=0.9047591717375112, c2=0.011850870817830468, score=0.626785 -   1.4s
[CV] c1=0.5904238199676781, c2=0.10993516560563021 ...................
[CV]  c1=0.5904238199676781, c2=0.10993516560563021, score=0.652759 -   1.1s
[CV] c1=0.40379149649045565, c2=0.07144537274428604 ..................
[CV]  c1=0.40379149649045565, c2=0.07144537274428604, score=0.884927 -   1.4s
[CV] c1=0.3027885932949944, c2=0.10523384120065643 ...................
[CV]  c1=0.3027885932949944, c2=0.10523384120065643, score=0.664245 -   1.2s
[CV] c1=0.018013571391409775, c2=0.0003804545837364183 ...............
[CV]  c1=0.018013571391409775, c2=0.0003804545837364183, score=0.840925 -   1.5s
[CV] c1=0.01995074337730242, c2=0.04357120459529698 ..................
[CV]  c1=0.01995074337730242, c2=0.04357120459529698, score=0.678004 -   1.1s
[CV] c1=0.3470239168023949, c2=0.05693990868335106 ...................
[CV]  c1=0.3470239168023949, c2=0.05693990868335106, score=0.664245 -   1.0s
[CV] c1=1.1013689582751307, c2=0.03036549622980239 ...................
[CV]  c1=1.1013689582751307, c2=0.03036549622980239, score=0.651517 -   1.4s
[CV] c1=0.09176764990375103, c2=0.05585754877158629 ..................
[CV]  c1=0.09176764990375103, c2=0.05585754877158629, score=0.665881 -   1.1s
[CV] c1=0.09757620186526485, c2=0.0008419215351651368 ................
[CV]  c1=0.09757620186526485, c2=0.0008419215351651368, score=0.802269 -   1.4s
[CV] c1=0.371962287978505, c2=0.006017085732612338 ...................
[CV]  c1=0.371962287978505, c2=0.006017085732612338, score=0.694487 -   1.1s
[CV] c1=0.41627516046551705, c2=0.08184497601139706 ..................
[CV]  c1=0.41627516046551705, c2=0.08184497601139706, score=0.800656 -   1.4s
[CV] c1=1.5351239733972184, c2=0.03336348022562407 ...................
[CV]  c1=1.5351239733972184, c2=0.03336348022562407, score=0.529591 -   1.1s
[CV] c1=1.1529405720254258, c2=0.0018409053215938137 .................
[CV]  c1=1.1529405720254258, c2=0.0018409053215938137, score=0.645955 -   1.1s
[CV] c1=0.5904238199676781, c2=0.10993516560563021 ...................
[CV]  c1=0.5904238199676781, c2=0.10993516560563021, score=0.850282 -   1.4s
[CV] c1=0.16045343613300173, c2=0.08249473920430356 ..................
[CV]  c1=0.16045343613300173, c2=0.08249473920430356, score=0.842370 -   1.3s
[CV] c1=0.19848796065541682, c2=0.025755824924953142 .................
[CV]  c1=0.19848796065541682, c2=0.025755824924953142, score=0.681050 -   1.1s
[CV] c1=1.9171808012395322, c2=0.05123944404802752 ...................
[CV]  c1=1.9171808012395322, c2=0.05123944404802752, score=0.776110 -   1.3s
[CV] c1=0.5182854817175444, c2=0.012426002605270131 ..................
[CV]  c1=0.5182854817175444, c2=0.012426002605270131, score=0.800707 -   1.4s
[CV] c1=0.49306687636696234, c2=0.016357412822932363 .................
[CV]  c1=0.49306687636696234, c2=0.016357412822932363, score=0.680736 -   0.9s
[CV] c1=0.03884248816520052, c2=0.025373609572080694 .................
[CV]  c1=0.03884248816520052, c2=0.025373609572080694, score=0.846348 -   1.2s
[CV] c1=0.09176764990375103, c2=0.05585754877158629 ..................
[CV]  c1=0.09176764990375103, c2=0.05585754877158629, score=0.871970 -   1.4s
[CV] c1=0.10155699642258048, c2=0.00978812423516541 ..................
[CV]  c1=0.10155699642258048, c2=0.00978812423516541, score=0.816750 -   1.4s
[CV] c1=0.2949008463640428, c2=0.07055940326839655 ...................
[CV]  c1=0.2949008463640428, c2=0.07055940326839655, score=0.891815 -   1.3s
[CV] c1=0.1787919379043906, c2=0.00010399598390936041 ................
[CV]  c1=0.1787919379043906, c2=0.00010399598390936041, score=0.802720 -   1.5s
[CV] c1=0.7973515088327506, c2=0.013737751060545412 ..................
[CV]  c1=0.7973515088327506, c2=0.013737751060545412, score=0.692370 -   1.4s
[CV] c1=0.4313703821649066, c2=0.11496137021992328 ...................
[CV]  c1=0.4313703821649066, c2=0.11496137021992328, score=0.787625 -   1.4s
[CV] c1=0.40379149649045565, c2=0.07144537274428604 ..................
[CV]  c1=0.40379149649045565, c2=0.07144537274428604, score=0.663495 -   1.1s
[CV] c1=1.5342152075221749, c2=0.042410566102017 .....................
[CV]  c1=1.5342152075221749, c2=0.042410566102017, score=0.715630 -   1.3s
[CV] c1=0.1585208125491786, c2=0.06820023329241401 ...................
[CV]  c1=0.1585208125491786, c2=0.06820023329241401, score=0.801470 -   1.5s
[CV] c1=0.5182854817175444, c2=0.012426002605270131 ..................
[CV]  c1=0.5182854817175444, c2=0.012426002605270131, score=0.689613 -   1.0s
[CV] c1=0.5036307020531068, c2=0.017940393439809795 ..................
[CV]  c1=0.5036307020531068, c2=0.017940393439809795, score=0.817179 -   1.4s
[CV] c1=0.31510516647392145, c2=0.0578692230184164 ...................
[CV]  c1=0.31510516647392145, c2=0.0578692230184164, score=0.812413 -   1.5s
[CV] c1=1.531607061812668, c2=0.03277018751655638 ....................
[CV]  c1=1.531607061812668, c2=0.03277018751655638, score=0.551143 -   1.1s
[CV] c1=0.10155699642258048, c2=0.00978812423516541 ..................
[CV]  c1=0.10155699642258048, c2=0.00978812423516541, score=0.672912 -   1.1s
[CV] c1=0.371962287978505, c2=0.006017085732612338 ...................
[CV]  c1=0.371962287978505, c2=0.006017085732612338, score=0.897213 -   1.4s
[CV] c1=0.05555657710027336, c2=0.05612199161545885 ..................
[CV]  c1=0.05555657710027336, c2=0.05612199161545885, score=0.827589 -   1.3s
[CV] c1=0.004937273003383316, c2=0.06943957477011144 .................
[CV]  c1=0.004937273003383316, c2=0.06943957477011144, score=0.839292 -   1.4s
[CV] c1=0.9565795075782155, c2=0.014854625990134354 ..................
[CV]  c1=0.9565795075782155, c2=0.014854625990134354, score=0.657914 -   1.1s
[CV] c1=0.4817707379044255, c2=0.018343938604544634 ..................
[CV]  c1=0.4817707379044255, c2=0.018343938604544634, score=0.800707 -   1.4s
[CV] c1=0.9790726384895557, c2=0.24484470587926863 ...................
[CV]  c1=0.9790726384895557, c2=0.24484470587926863, score=0.797638 -   1.3s
[CV] c1=0.8915269238050452, c2=0.023093761564585886 ..................
[CV]  c1=0.8915269238050452, c2=0.023093761564585886, score=0.636191 -   1.1s
[CV] c1=0.9416675458808417, c2=0.007034125009784915 ..................
[CV]  c1=0.9416675458808417, c2=0.007034125009784915, score=0.773935 -   1.3s
[CV] c1=0.3302051404657842, c2=0.044120320996721765 ..................
[CV]  c1=0.3302051404657842, c2=0.044120320996721765, score=0.772797 -   1.5s
[CV] c1=0.005659430862979175, c2=0.04103790771240323 .................
[CV]  c1=0.005659430862979175, c2=0.04103790771240323, score=0.698805 -   0.8s
[CV] c1=0.09780371899379489, c2=0.09087957209111587 ..................
[CV]  c1=0.09780371899379489, c2=0.09087957209111587, score=0.681084 -   1.1s
[CV] c1=0.21847468106634166, c2=0.06438152237697357 ..................
[CV]  c1=0.21847468106634166, c2=0.06438152237697357, score=0.664245 -   1.1s
[CV] c1=0.7997019225701891, c2=0.0022736080177765483 .................
[CV]  c1=0.7997019225701891, c2=0.0022736080177765483, score=0.778200 -   1.4s
[CV] c1=0.36340591247594267, c2=0.09638763631136081 ..................
[CV]  c1=0.36340591247594267, c2=0.09638763631136081, score=0.668076 -   1.1s
[CV] c1=0.05555657710027336, c2=0.05612199161545885 ..................
[CV]  c1=0.05555657710027336, c2=0.05612199161545885, score=0.874875 -   1.4s
[CV] c1=0.004937273003383316, c2=0.06943957477011144 .................
[CV]  c1=0.004937273003383316, c2=0.06943957477011144, score=0.876758 -   1.4s
[CV] c1=0.2262305822981693, c2=0.04004049503354718 ...................
[CV]  c1=0.2262305822981693, c2=0.04004049503354718, score=0.799138 -   1.3s
[CV] c1=0.2733072647248947, c2=0.06129706849393726 ...................
[CV]  c1=0.2733072647248947, c2=0.06129706849393726, score=0.831516 -   1.3s
[CV] c1=0.9790726384895557, c2=0.24484470587926863 ...................
[CV]  c1=0.9790726384895557, c2=0.24484470587926863, score=0.648644 -   1.4s
[CV] c1=0.9894817278449799, c2=0.01923722292713351 ...................
[CV]  c1=0.9894817278449799, c2=0.01923722292713351, score=0.856227 -   1.4s
[CV] c1=0.30046294475090096, c2=0.0548106313509438 ...................
[CV]  c1=0.30046294475090096, c2=0.0548106313509438, score=0.790415 -   1.4s
[CV] c1=0.5036307020531068, c2=0.017940393439809795 ..................
[CV]  c1=0.5036307020531068, c2=0.017940393439809795, score=0.748571 -   1.4s
[CV] c1=0.31510516647392145, c2=0.0578692230184164 ...................
[CV]  c1=0.31510516647392145, c2=0.0578692230184164, score=0.790415 -   1.4s
[CV] c1=0.21847468106634166, c2=0.06438152237697357 ..................
[CV]  c1=0.21847468106634166, c2=0.06438152237697357, score=0.811645 -   1.4s
[CV] c1=0.6766970562332139, c2=0.01957355321937916 ...................
[CV]  c1=0.6766970562332139, c2=0.01957355321937916, score=0.657591 -   1.1s
[CV] c1=0.36340591247594267, c2=0.09638763631136081 ..................
[CV]  c1=0.36340591247594267, c2=0.09638763631136081, score=0.812300 -   1.3s
[CV] c1=0.1787919379043906, c2=0.00010399598390936041 ................
[CV]  c1=0.1787919379043906, c2=0.00010399598390936041, score=0.908148 -   1.3s
[CV] c1=0.5570744317602155, c2=0.09700437944132101 ...................
[CV]  c1=0.5570744317602155, c2=0.09700437944132101, score=0.856711 -   1.4s
[CV] c1=0.4313703821649066, c2=0.11496137021992328 ...................
[CV]  c1=0.4313703821649066, c2=0.11496137021992328, score=0.876034 -   1.3s
[CV] c1=0.12762079172918972, c2=0.06266293494222526 ..................
[CV]  c1=0.12762079172918972, c2=0.06266293494222526, score=0.815399 -   1.4s
[CV] c1=0.33703791403286226, c2=0.0216516241549142 ...................
[CV]  c1=0.33703791403286226, c2=0.0216516241549142, score=0.830804 -   1.2s
[CV] c1=0.018013571391409775, c2=0.0003804545837364183 ...............
[CV]  c1=0.018013571391409775, c2=0.0003804545837364183, score=0.880426 -   1.3s
[CV] c1=0.020283212131598262, c2=0.025811064361820676 ................
[CV]  c1=0.020283212131598262, c2=0.025811064361820676, score=0.787542 -   1.4s
[CV] c1=0.3470239168023949, c2=0.05693990868335106 ...................
[CV]  c1=0.3470239168023949, c2=0.05693990868335106, score=0.752874 -   1.1s
[CV] c1=0.1176632385783932, c2=0.059241430075473736 ..................
[CV]  c1=0.1176632385783932, c2=0.059241430075473736, score=0.815399 -   1.4s
[CV] c1=0.6827303249314758, c2=0.038355603720273294 ..................
[CV]  c1=0.6827303249314758, c2=0.038355603720273294, score=0.850861 -   1.4s
[CV] c1=0.7997019225701891, c2=0.0022736080177765483 .................
[CV]  c1=0.7997019225701891, c2=0.0022736080177765483, score=0.680552 -   1.3s
[CV] c1=0.371962287978505, c2=0.006017085732612338 ...................
[CV]  c1=0.371962287978505, c2=0.006017085732612338, score=0.831603 -   1.3s
[CV] c1=0.05555657710027336, c2=0.05612199161545885 ..................
[CV]  c1=0.05555657710027336, c2=0.05612199161545885, score=0.844126 -   1.3s
[CV] c1=0.004937273003383316, c2=0.06943957477011144 .................
[CV]  c1=0.004937273003383316, c2=0.06943957477011144, score=0.793512 -   1.4s
[CV] c1=0.9565795075782155, c2=0.014854625990134354 ..................
[CV]  c1=0.9565795075782155, c2=0.014854625990134354, score=0.753689 -   1.3s
[CV] c1=0.40324364423339865, c2=0.004404806265278039 .................
[CV]  c1=0.40324364423339865, c2=0.004404806265278039, score=0.832760 -   1.3s
[CV] c1=0.0511774138935537, c2=0.022440163401647808 ..................
[CV]  c1=0.0511774138935537, c2=0.022440163401647808, score=0.831600 -   1.4s
[CV] c1=0.1585208125491786, c2=0.06820023329241401 ...................
[CV]  c1=0.1585208125491786, c2=0.06820023329241401, score=0.876261 -   1.4s
[CV] c1=0.020283212131598262, c2=0.025811064361820676 ................
[CV]  c1=0.020283212131598262, c2=0.025811064361820676, score=0.873853 -   1.4s
[CV] c1=0.24700534134889698, c2=0.05097246106527902 ..................
[CV]  c1=0.24700534134889698, c2=0.05097246106527902, score=0.891128 -   1.4s
[CV] c1=0.1718172650660396, c2=0.08360344111719004 ...................
[CV]  c1=0.1718172650660396, c2=0.08360344111719004, score=0.790981 -   1.3s
[CV] c1=0.37221815499116995, c2=0.193229647196852 ....................
[CV]  c1=0.37221815499116995, c2=0.193229647196852, score=0.737299 -   1.3s
[CV] c1=0.2332237468657368, c2=0.02972974970700832 ...................
[CV]  c1=0.2332237468657368, c2=0.02972974970700832, score=0.842365 -   1.3s
[CV] c1=0.34499001042404354, c2=0.021753709976295586 .................
[CV]  c1=0.34499001042404354, c2=0.021753709976295586, score=0.817789 -   1.4s
[CV] c1=0.5458748308714377, c2=0.037922773723828206 ..................
[CV]  c1=0.5458748308714377, c2=0.037922773723828206, score=0.864907 -   1.4s
[CV] c1=1.5351239733972184, c2=0.03336348022562407 ...................
[CV]  c1=1.5351239733972184, c2=0.03336348022562407, score=0.600741 -   1.5s
[CV] c1=0.2262305822981693, c2=0.04004049503354718 ...................
[CV]  c1=0.2262305822981693, c2=0.04004049503354718, score=0.895684 -   1.4s
[CV] c1=0.2733072647248947, c2=0.06129706849393726 ...................
[CV]  c1=0.2733072647248947, c2=0.06129706849393726, score=0.811645 -   1.5s
[CV] c1=0.0511774138935537, c2=0.022440163401647808 ..................
[CV]  c1=0.0511774138935537, c2=0.022440163401647808, score=0.781398 -   1.4s
[CV] c1=0.1585208125491786, c2=0.06820023329241401 ...................
[CV]  c1=0.1585208125491786, c2=0.06820023329241401, score=0.842813 -   1.3s
[CV] c1=0.020283212131598262, c2=0.025811064361820676 ................
[CV]  c1=0.020283212131598262, c2=0.025811064361820676, score=0.830028 -   1.4s
[CV] c1=0.24700534134889698, c2=0.05097246106527902 ..................
[CV]  c1=0.24700534134889698, c2=0.05097246106527902, score=0.836237 -   1.3s
[CV] c1=0.31510516647392145, c2=0.0578692230184164 ...................
[CV]  c1=0.31510516647392145, c2=0.0578692230184164, score=0.824409 -   1.4s
[CV] c1=0.21847468106634166, c2=0.06438152237697357 ..................
[CV]  c1=0.21847468106634166, c2=0.06438152237697357, score=0.836237 -   1.3s
[CV] c1=0.7712606360558824, c2=0.07892108365466645 ...................
[CV]  c1=0.7712606360558824, c2=0.07892108365466645, score=0.685415 -   1.3s
[CV] c1=0.2949008463640428, c2=0.07055940326839655 ...................
[CV]  c1=0.2949008463640428, c2=0.07055940326839655, score=0.829842 -   1.2s
[CV] c1=0.1787919379043906, c2=0.00010399598390936041 ................
[CV]  c1=0.1787919379043906, c2=0.00010399598390936041, score=0.829260 -   1.3s
[CV] c1=0.5570744317602155, c2=0.09700437944132101 ...................
[CV]  c1=0.5570744317602155, c2=0.09700437944132101, score=0.812189 -   1.2s
[CV] c1=0.9565795075782155, c2=0.014854625990134354 ..................
[CV]  c1=0.9565795075782155, c2=0.014854625990134354, score=0.626785 -   1.4s
[CV] c1=1.803807720575281, c2=0.010418442391347753 ...................
[CV]  c1=1.803807720575281, c2=0.010418442391347753, score=0.608089 -   1.4s
[CV] c1=0.33703791403286226, c2=0.0216516241549142 ...................
[CV]  c1=0.33703791403286226, c2=0.0216516241549142, score=0.893926 -   1.5s
[CV] c1=0.018013571391409775, c2=0.0003804545837364183 ...............
[CV]  c1=0.018013571391409775, c2=0.0003804545837364183, score=0.841297 -   1.3s
[CV] c1=0.5182854817175444, c2=0.012426002605270131 ..................
[CV]  c1=0.5182854817175444, c2=0.012426002605270131, score=0.827552 -   1.3s
[CV] c1=0.3470239168023949, c2=0.05693990868335106 ...................
[CV]  c1=0.3470239168023949, c2=0.05693990868335106, score=0.819201 -   1.1s
[CV] c1=0.1176632385783932, c2=0.059241430075473736 ..................
[CV]  c1=0.1176632385783932, c2=0.059241430075473736, score=0.778741 -   1.4s
[CV] c1=0.6827303249314758, c2=0.038355603720273294 ..................
[CV]  c1=0.6827303249314758, c2=0.038355603720273294, score=0.774068 -   1.4s
[CV] c1=0.10155699642258048, c2=0.00978812423516541 ..................
[CV]  c1=0.10155699642258048, c2=0.00978812423516541, score=0.808864 -   1.4s
[CV] c1=0.4407990468164254, c2=0.08040524189682652 ...................
[CV]  c1=0.4407990468164254, c2=0.08040524189682652, score=0.875503 -   1.3s
[CV] c1=0.26551018951853034, c2=0.034315195250496595 .................
[CV]  c1=0.26551018951853034, c2=0.034315195250496595, score=0.901458 -   1.4s
[CV] c1=0.7973515088327506, c2=0.013737751060545412 ..................
[CV]  c1=0.7973515088327506, c2=0.013737751060545412, score=0.656476 -   1.1s
[CV] c1=0.9565795075782155, c2=0.014854625990134354 ..................
[CV]  c1=0.9565795075782155, c2=0.014854625990134354, score=0.671890 -   1.4s
[CV] c1=1.803807720575281, c2=0.010418442391347753 ...................
[CV]  c1=1.803807720575281, c2=0.010418442391347753, score=0.770439 -   1.4s
[CV] c1=1.5342152075221749, c2=0.042410566102017 .....................
[CV]  c1=1.5342152075221749, c2=0.042410566102017, score=0.525559 -   1.1s
[CV] c1=0.8915269238050452, c2=0.023093761564585886 ..................
[CV]  c1=0.8915269238050452, c2=0.023093761564585886, score=0.626785 -   1.4s
[CV] c1=0.30046294475090096, c2=0.0548106313509438 ...................
[CV]  c1=0.30046294475090096, c2=0.0548106313509438, score=0.817789 -   1.5s
[CV] c1=0.24700534134889698, c2=0.05097246106527902 ..................
[CV]  c1=0.24700534134889698, c2=0.05097246106527902, score=0.768809 -   1.3s
[CV] c1=0.08691517980075586, c2=0.16138003113504668 ..................
[CV]  c1=0.08691517980075586, c2=0.16138003113504668, score=0.776022 -   1.3s
[CV] c1=0.10685650282406478, c2=0.0708414370012702 ...................
[CV]  c1=0.10685650282406478, c2=0.0708414370012702, score=0.680020 -   1.2s
[CV] c1=0.17734723596443722, c2=0.07842763475332093 ..................
[CV]  c1=0.17734723596443722, c2=0.07842763475332093, score=0.666178 -   1.1s
[CV] c1=0.6766970562332139, c2=0.01957355321937916 ...................
[CV]  c1=0.6766970562332139, c2=0.01957355321937916, score=0.795265 -   1.2s
[CV] c1=0.4407990468164254, c2=0.08040524189682652 ...................
[CV]  c1=0.4407990468164254, c2=0.08040524189682652, score=0.738536 -   1.4s
[CV] c1=0.26551018951853034, c2=0.034315195250496595 .................
[CV]  c1=0.26551018951853034, c2=0.034315195250496595, score=0.836237 -   1.4s
[CV] c1=0.9047591717375112, c2=0.011850870817830468 ..................
[CV]  c1=0.9047591717375112, c2=0.011850870817830468, score=0.852075 -   1.4s
[CV] c1=0.05300095382000641, c2=0.023717795448371336 .................
[CV]  c1=0.05300095382000641, c2=0.023717795448371336, score=0.669743 -   1.1s
[CV] c1=1.803807720575281, c2=0.010418442391347753 ...................
[CV]  c1=1.803807720575281, c2=0.010418442391347753, score=0.542257 -   1.4s
[CV] c1=0.33703791403286226, c2=0.0216516241549142 ...................
[CV]  c1=0.33703791403286226, c2=0.0216516241549142, score=0.803615 -   1.4s
[CV] c1=1.9171808012395322, c2=0.05123944404802752 ...................
[CV]  c1=1.9171808012395322, c2=0.05123944404802752, score=0.501289 -   1.1s
[CV] c1=0.020283212131598262, c2=0.025811064361820676 ................
[CV]  c1=0.020283212131598262, c2=0.025811064361820676, score=0.855449 -   1.3s
[CV] c1=0.3470239168023949, c2=0.05693990868335106 ...................
[CV]  c1=0.3470239168023949, c2=0.05693990868335106, score=0.887716 -   1.3s
[CV] c1=0.005659430862979175, c2=0.04103790771240323 .................
[CV]  c1=0.005659430862979175, c2=0.04103790771240323, score=0.793512 -   1.4s
[CV] c1=0.09433803942380013, c2=0.006386921666813868 .................
[CV]  c1=0.09433803942380013, c2=0.006386921666813868, score=0.679600 -   1.1s
[CV] c1=0.37601185222930333, c2=0.004691215184293134 .................
[CV]  c1=0.37601185222930333, c2=0.004691215184293134, score=0.829651 -   1.4s
[CV] c1=0.11839675454596203, c2=0.07084344100815868 ..................
[CV]  c1=0.11839675454596203, c2=0.07084344100815868, score=0.842370 -   1.2s
[CV] c1=0.3065071313212848, c2=0.005387848271391566 ..................
[CV]  c1=0.3065071313212848, c2=0.005387848271391566, score=0.811293 -   1.4s
[CV] c1=0.29913651428672083, c2=0.03824374812989132 ..................
[CV]  c1=0.29913651428672083, c2=0.03824374812989132, score=0.823922 -   1.3s
[CV] c1=0.27437660977018996, c2=0.023575607252695686 .................
[CV]  c1=0.27437660977018996, c2=0.023575607252695686, score=0.835598 -   1.3s
[CV] c1=0.5904238199676781, c2=0.10993516560563021 ...................
[CV]  c1=0.5904238199676781, c2=0.10993516560563021, score=0.798661 -   1.3s
[CV] c1=0.16045343613300173, c2=0.08249473920430356 ..................
[CV]  c1=0.16045343613300173, c2=0.08249473920430356, score=0.799206 -   1.4s
[CV] c1=0.19848796065541682, c2=0.025755824924953142 .................
[CV]  c1=0.19848796065541682, c2=0.025755824924953142, score=0.810673 -   1.4s
[CV] c1=1.497181943240854, c2=0.4615118095989069 .....................
[CV]  c1=1.497181943240854, c2=0.4615118095989069, score=0.624063 -   1.3s
[CV] c1=1.4014789340118803, c2=0.06326205726902089 ...................
[CV]  c1=1.4014789340118803, c2=0.06326205726902089, score=0.719433 -   1.3s
[CV] c1=0.21573642625369938, c2=0.11203046221330529 ..................
[CV]  c1=0.21573642625369938, c2=0.11203046221330529, score=0.668076 -   0.9s
[CV] c1=0.03884248816520052, c2=0.025373609572080694 .................
[CV]  c1=0.03884248816520052, c2=0.025373609572080694, score=0.875671 -   1.4s
[CV] c1=0.09176764990375103, c2=0.05585754877158629 ..................
[CV]  c1=0.09176764990375103, c2=0.05585754877158629, score=0.848620 -   1.3s
[CV] c1=0.10155699642258048, c2=0.00978812423516541 ..................
[CV]  c1=0.10155699642258048, c2=0.00978812423516541, score=0.837777 -   1.3s
[CV] c1=0.36340591247594267, c2=0.09638763631136081 ..................
[CV]  c1=0.36340591247594267, c2=0.09638763631136081, score=0.822193 -   1.3s
[CV] c1=0.01779758403765963, c2=0.011433061888451543 .................
[CV]  c1=0.01779758403765963, c2=0.011433061888451543, score=0.791127 -   1.4s
[CV] c1=0.5570744317602155, c2=0.09700437944132101 ...................
[CV]  c1=0.5570744317602155, c2=0.09700437944132101, score=0.654696 -   1.1s
[CV] c1=0.2262305822981693, c2=0.04004049503354718 ...................
[CV]  c1=0.2262305822981693, c2=0.04004049503354718, score=0.842813 -   1.3s
[CV] c1=0.2733072647248947, c2=0.06129706849393726 ...................
[CV]  c1=0.2733072647248947, c2=0.06129706849393726, score=0.788088 -   1.4s
[CV] c1=0.0511774138935537, c2=0.022440163401647808 ..................
[CV]  c1=0.0511774138935537, c2=0.022440163401647808, score=0.863638 -   1.4s
[CV] c1=0.9894817278449799, c2=0.01923722292713351 ...................
[CV]  c1=0.9894817278449799, c2=0.01923722292713351, score=0.651517 -   1.6s
[CV] c1=0.5182854817175444, c2=0.012426002605270131 ..................
[CV]  c1=0.5182854817175444, c2=0.012426002605270131, score=0.882928 -   1.3s
[CV] c1=0.24700534134889698, c2=0.05097246106527902 ..................
[CV]  c1=0.24700534134889698, c2=0.05097246106527902, score=0.814958 -   1.4s
[CV] c1=0.1176632385783932, c2=0.059241430075473736 ..................
[CV]  c1=0.1176632385783932, c2=0.059241430075473736, score=0.848620 -   1.4s
[CV] c1=0.09433803942380013, c2=0.006386921666813868 .................
[CV]  c1=0.09433803942380013, c2=0.006386921666813868, score=0.808814 -   1.4s
[CV] c1=0.7997019225701891, c2=0.0022736080177765483 .................
[CV]  c1=0.7997019225701891, c2=0.0022736080177765483, score=0.668704 -   1.4s
[CV] c1=0.36340591247594267, c2=0.09638763631136081 ..................
[CV]  c1=0.36340591247594267, c2=0.09638763631136081, score=0.759390 -   1.3s
[CV] c1=0.01779758403765963, c2=0.011433061888451543 .................
[CV]  c1=0.01779758403765963, c2=0.011433061888451543, score=0.680841 -   1.1s
[CV] c1=1.5351239733972184, c2=0.03336348022562407 ...................
[CV]  c1=1.5351239733972184, c2=0.03336348022562407, score=0.713573 -   1.4s
[CV] c1=0.36229545232339794, c2=0.00393878169022789 ..................
[CV]  c1=0.36229545232339794, c2=0.00393878169022789, score=0.797262 -   1.5s
[CV] c1=0.40324364423339865, c2=0.004404806265278039 .................
[CV]  c1=0.40324364423339865, c2=0.004404806265278039, score=0.723301 -   1.1s
[CV] c1=0.007622093860511741, c2=0.0013294005278163855 ...............
[CV]  c1=0.007622093860511741, c2=0.0013294005278163855, score=0.836570 -   1.3s
[CV] c1=0.21024987615188248, c2=0.026723000960507205 .................
[CV]  c1=0.21024987615188248, c2=0.026723000960507205, score=0.668577 -   1.1s
[CV] c1=0.9416675458808417, c2=0.007034125009784915 ..................
[CV]  c1=0.9416675458808417, c2=0.007034125009784915, score=0.653390 -   1.1s
[CV] c1=1.4014789340118803, c2=0.06326205726902089 ...................
[CV]  c1=1.4014789340118803, c2=0.06326205726902089, score=0.564006 -   1.1s
[CV] c1=0.3470239168023949, c2=0.05693990868335106 ...................
[CV]  c1=0.3470239168023949, c2=0.05693990868335106, score=0.803437 -   1.2s
[CV] c1=0.03884248816520052, c2=0.025373609572080694 .................
[CV]  c1=0.03884248816520052, c2=0.025373609572080694, score=0.679069 -   1.1s
[CV] c1=0.09433803942380013, c2=0.006386921666813868 .................
[CV]  c1=0.09433803942380013, c2=0.006386921666813868, score=0.834895 -   1.3s
[CV] c1=0.09757620186526485, c2=0.0008419215351651368 ................
[CV]  c1=0.09757620186526485, c2=0.0008419215351651368, score=0.847968 -   1.3s
[CV] c1=0.52928133500324, c2=0.06782110052547002 .....................
[CV]  c1=0.52928133500324, c2=0.06782110052547002, score=0.796203 -   1.2s
[CV] c1=0.41627516046551705, c2=0.08184497601139706 ..................
[CV]  c1=0.41627516046551705, c2=0.08184497601139706, score=0.749360 -   1.3s
[CV] c1=0.07531272489236245, c2=0.02077708856953625 ..................
[CV]  c1=0.07531272489236245, c2=0.02077708856953625, score=0.854407 -   1.2s
[CV] c1=1.1529405720254258, c2=0.0018409053215938137 .................
[CV]  c1=1.1529405720254258, c2=0.0018409053215938137, score=0.655761 -   1.3s
[CV] c1=0.18322396353247228, c2=0.011248570229634035 .................
[CV]  c1=0.18322396353247228, c2=0.011248570229634035, score=0.672336 -   1.1s
[CV] c1=0.40379149649045565, c2=0.07144537274428604 ..................
[CV]  c1=0.40379149649045565, c2=0.07144537274428604, score=0.815131 -   1.4s
[CV] c1=0.19848796065541682, c2=0.025755824924953142 .................
[CV]  c1=0.19848796065541682, c2=0.025755824924953142, score=0.895684 -   1.3s
[CV] c1=1.9171808012395322, c2=0.05123944404802752 ...................
[CV]  c1=1.9171808012395322, c2=0.05123944404802752, score=0.699574 -   1.3s
[CV] c1=0.01995074337730242, c2=0.04357120459529698 ..................
[CV]  c1=0.01995074337730242, c2=0.04357120459529698, score=0.846348 -   1.3s
[CV] c1=0.49306687636696234, c2=0.016357412822932363 .................
[CV]  c1=0.49306687636696234, c2=0.016357412822932363, score=0.817715 -   1.1s
[CV] c1=1.1013689582751307, c2=0.03036549622980239 ...................
[CV]  c1=1.1013689582751307, c2=0.03036549622980239, score=0.620261 -   1.1s
[CV] c1=0.37221815499116995, c2=0.193229647196852 ....................
[CV]  c1=0.37221815499116995, c2=0.193229647196852, score=0.782655 -   1.4s
[CV] c1=0.09757620186526485, c2=0.0008419215351651368 ................
[CV]  c1=0.09757620186526485, c2=0.0008419215351651368, score=0.671198 -   1.0s
[CV] c1=0.061412482839619524, c2=3.3201165394903586e-05 ..............
[CV]  c1=0.061412482839619524, c2=3.3201165394903586e-05, score=0.817790 -   1.1s
[CV] c1=0.4407990468164254, c2=0.08040524189682652 ...................
[CV]  c1=0.4407990468164254, c2=0.08040524189682652, score=0.809632 -   1.4s
[CV] c1=0.13002827530948066, c2=0.0013682544388588737 ................
[CV]  c1=0.13002827530948066, c2=0.0013682544388588737, score=0.820615 -   1.4s
[CV] c1=0.9047591717375112, c2=0.011850870817830468 ..................
[CV]  c1=0.9047591717375112, c2=0.011850870817830468, score=0.653390 -   1.1s
[CV] c1=0.03414555619377757, c2=0.06228070846546721 ..................
[CV]  c1=0.03414555619377757, c2=0.06228070846546721, score=0.855449 -   1.3s
[CV] c1=1.803807720575281, c2=0.010418442391347753 ...................
[CV]  c1=1.803807720575281, c2=0.010418442391347753, score=0.702633 -   1.4s
[CV] c1=1.5342152075221749, c2=0.042410566102017 .....................
[CV]  c1=1.5342152075221749, c2=0.042410566102017, score=0.600741 -   1.4s
[CV] c1=0.1585208125491786, c2=0.06820023329241401 ...................
[CV]  c1=0.1585208125491786, c2=0.06820023329241401, score=0.783954 -   1.5s
[CV] c1=0.5182854817175444, c2=0.012426002605270131 ..................
[CV]  c1=0.5182854817175444, c2=0.012426002605270131, score=0.753163 -   1.4s
[CV] c1=0.49306687636696234, c2=0.016357412822932363 .................
[CV]  c1=0.49306687636696234, c2=0.016357412822932363, score=0.880139 -   1.2s
[CV] c1=0.31510516647392145, c2=0.0578692230184164 ...................
[CV]  c1=0.31510516647392145, c2=0.0578692230184164, score=0.664245 -   1.1s
[CV] c1=0.6827303249314758, c2=0.038355603720273294 ..................
[CV]  c1=0.6827303249314758, c2=0.038355603720273294, score=0.648118 -   1.1s
[CV] c1=0.09757620186526485, c2=0.0008419215351651368 ................
[CV]  c1=0.09757620186526485, c2=0.0008419215351651368, score=0.893108 -   1.3s
[CV] c1=0.34499001042404354, c2=0.021753709976295586 .................
[CV]  c1=0.34499001042404354, c2=0.021753709976295586, score=0.891815 -   1.4s
[CV] c1=0.41627516046551705, c2=0.08184497601139706 ..................
[CV]  c1=0.41627516046551705, c2=0.08184497601139706, score=0.885344 -   1.4s
[CV] c1=0.07531272489236245, c2=0.02077708856953625 ..................
[CV]  c1=0.07531272489236245, c2=0.02077708856953625, score=0.833227 -   1.4s
[CV] c1=0.36229545232339794, c2=0.00393878169022789 ..................
[CV]  c1=0.36229545232339794, c2=0.00393878169022789, score=0.890231 -   1.4s
[CV] c1=0.4817707379044255, c2=0.018343938604544634 ..................
[CV]  c1=0.4817707379044255, c2=0.018343938604544634, score=0.682013 -   1.1s
[CV] c1=0.2865793796399091, c2=0.1365100353090478 ....................
[CV]  c1=0.2865793796399091, c2=0.1365100353090478, score=0.665199 -   1.2s
[CV] c1=0.19848796065541682, c2=0.025755824924953142 .................
[CV]  c1=0.19848796065541682, c2=0.025755824924953142, score=0.836418 -   1.3s
[CV] c1=1.497181943240854, c2=0.4615118095989069 .....................
[CV]  c1=1.497181943240854, c2=0.4615118095989069, score=0.605983 -   1.4s
[CV] c1=1.4014789340118803, c2=0.06326205726902089 ...................
[CV]  c1=1.4014789340118803, c2=0.06326205726902089, score=0.544789 -   1.4s
[CV] c1=0.28932099059372357, c2=0.056659710741058446 .................
[CV]  c1=0.28932099059372357, c2=0.056659710741058446, score=0.665579 -   0.8s
[CV] c1=0.005659430862979175, c2=0.04103790771240323 .................
[CV]  c1=0.005659430862979175, c2=0.04103790771240323, score=0.855449 -   1.2s
[CV] c1=0.10685650282406478, c2=0.0708414370012702 ...................
[CV]  c1=0.10685650282406478, c2=0.0708414370012702, score=0.797295 -   1.4s
[CV] c1=0.2332237468657368, c2=0.02972974970700832 ...................
[CV]  c1=0.2332237468657368, c2=0.02972974970700832, score=0.907887 -   1.5s
[CV] c1=0.52928133500324, c2=0.06782110052547002 .....................
[CV]  c1=0.52928133500324, c2=0.06782110052547002, score=0.659964 -   1.3s
[CV] c1=0.5458748308714377, c2=0.037922773723828206 ..................
[CV]  c1=0.5458748308714377, c2=0.037922773723828206, score=0.655291 -   1.1s
[CV] c1=0.07531272489236245, c2=0.02077708856953625 ..................
[CV]  c1=0.07531272489236245, c2=0.02077708856953625, score=0.662219 -   1.1s
[CV] c1=0.27437660977018996, c2=0.023575607252695686 .................
[CV]  c1=0.27437660977018996, c2=0.023575607252695686, score=0.691379 -   1.1s
[CV] c1=0.05300095382000641, c2=0.023717795448371336 .................
[CV]  c1=0.05300095382000641, c2=0.023717795448371336, score=0.844126 -   1.3s
[CV] c1=0.40379149649045565, c2=0.07144537274428604 ..................
[CV]  c1=0.40379149649045565, c2=0.07144537274428604, score=0.752874 -   1.5s
[CV] c1=0.3027885932949944, c2=0.10523384120065643 ...................
[CV]  c1=0.3027885932949944, c2=0.10523384120065643, score=0.806269 -   1.4s
[CV] c1=1.497181943240854, c2=0.4615118095989069 .....................
[CV]  c1=1.497181943240854, c2=0.4615118095989069, score=0.504579 -   1.1s
[CV] c1=0.01995074337730242, c2=0.04357120459529698 ..................
[CV]  c1=0.01995074337730242, c2=0.04357120459529698, score=0.876758 -   1.4s
[CV] c1=0.49306687636696234, c2=0.016357412822932363 .................
[CV]  c1=0.49306687636696234, c2=0.016357412822932363, score=0.755438 -   1.2s
[CV] c1=0.08691517980075586, c2=0.16138003113504668 ..................
[CV]  c1=0.08691517980075586, c2=0.16138003113504668, score=0.788156 -   1.2s
[CV] c1=0.10685650282406478, c2=0.0708414370012702 ...................
[CV]  c1=0.10685650282406478, c2=0.0708414370012702, score=0.885464 -   1.4s
[CV] c1=0.37601185222930333, c2=0.004691215184293134 .................
[CV]  c1=0.37601185222930333, c2=0.004691215184293134, score=0.897496 -   1.3s
[CV] c1=0.11839675454596203, c2=0.07084344100815868 ..................
[CV]  c1=0.11839675454596203, c2=0.07084344100815868, score=0.881403 -   1.4s
[CV] c1=0.3065071313212848, c2=0.005387848271391566 ..................
[CV]  c1=0.3065071313212848, c2=0.005387848271391566, score=0.832459 -   1.4s
[CV] c1=0.29913651428672083, c2=0.03824374812989132 ..................
[CV]  c1=0.29913651428672083, c2=0.03824374812989132, score=0.811645 -   1.4s
[CV] c1=1.1529405720254258, c2=0.0018409053215938137 .................
[CV]  c1=1.1529405720254258, c2=0.0018409053215938137, score=0.830498 -   1.3s
[CV] c1=0.18322396353247228, c2=0.011248570229634035 .................
[CV]  c1=0.18322396353247228, c2=0.011248570229634035, score=0.900180 -   1.5s
[CV] c1=0.2865793796399091, c2=0.1365100353090478 ....................
[CV]  c1=0.2865793796399091, c2=0.1365100353090478, score=0.819201 -   1.3s
[CV] c1=0.2590065735500138, c2=0.05242293530338659 ...................
[CV]  c1=0.2590065735500138, c2=0.05242293530338659, score=0.788088 -   1.5s
[CV] c1=0.2138416527040747, c2=0.048252693300706084 ..................
[CV]  c1=0.2138416527040747, c2=0.048252693300706084, score=0.669237 -   1.2s
[CV] c1=0.3302051404657842, c2=0.044120320996721765 ..................
[CV]  c1=0.3302051404657842, c2=0.044120320996721765, score=0.666239 -   1.1s
[CV] c1=0.21573642625369938, c2=0.11203046221330529 ..................
[CV]  c1=0.21573642625369938, c2=0.11203046221330529, score=0.871187 -   1.1s
[CV] c1=0.13225689392403883, c2=0.02393772570549243 ..................
[CV]  c1=0.13225689392403883, c2=0.02393772570549243, score=0.895684 -   1.3s
[CV] c1=0.6155749781707837, c2=0.008835570580562236 ..................
[CV]  c1=0.6155749781707837, c2=0.008835570580562236, score=0.853456 -   1.3s
[CV] c1=0.17734723596443722, c2=0.07842763475332093 ..................
[CV]  c1=0.17734723596443722, c2=0.07842763475332093, score=0.877231 -   1.4s
[CV] c1=0.061412482839619524, c2=3.3201165394903586e-05 ..............
[CV]  c1=0.061412482839619524, c2=3.3201165394903586e-05, score=0.832478 -   1.3s
[CV] c1=0.157586179258399, c2=0.022159879326172204 ...................
[CV]  c1=0.157586179258399, c2=0.022159879326172204, score=0.847968 -   1.3s
[CV] c1=0.13002827530948066, c2=0.0013682544388588737 ................
[CV]  c1=0.13002827530948066, c2=0.0013682544388588737, score=0.791462 -   1.3s
[CV] c1=0.9047591717375112, c2=0.011850870817830468 ..................
[CV]  c1=0.9047591717375112, c2=0.011850870817830468, score=0.773935 -   1.3s
[CV] c1=0.05300095382000641, c2=0.023717795448371336 .................
[CV]  c1=0.05300095382000641, c2=0.023717795448371336, score=0.831600 -   1.5s
[CV] c1=0.16045343613300173, c2=0.08249473920430356 ..................
[CV]  c1=0.16045343613300173, c2=0.08249473920430356, score=0.668577 -   1.1s
[CV] c1=0.3027885932949944, c2=0.10523384120065643 ...................
[CV]  c1=0.3027885932949944, c2=0.10523384120065643, score=0.882794 -   1.5s
[CV] c1=1.497181943240854, c2=0.4615118095989069 .....................
[CV]  c1=1.497181943240854, c2=0.4615118095989069, score=0.753448 -   1.3s
[CV] c1=1.4014789340118803, c2=0.06326205726902089 ...................
[CV]  c1=1.4014789340118803, c2=0.06326205726902089, score=0.600741 -   1.4s
[CV] c1=0.21573642625369938, c2=0.11203046221330529 ..................
[CV]  c1=0.21573642625369938, c2=0.11203046221330529, score=0.806269 -   0.9s
[CV] c1=1.1013689582751307, c2=0.03036549622980239 ...................
[CV]  c1=1.1013689582751307, c2=0.03036549622980239, score=0.576868 -   1.4s
[CV] c1=0.09176764990375103, c2=0.05585754877158629 ..................
[CV]  c1=0.09176764990375103, c2=0.05585754877158629, score=0.823973 -   1.4s
[CV] c1=0.7712606360558824, c2=0.07892108365466645 ...................
[CV]  c1=0.7712606360558824, c2=0.07892108365466645, score=0.858504 -   1.4s
[CV] c1=0.2949008463640428, c2=0.07055940326839655 ...................
[CV]  c1=0.2949008463640428, c2=0.07055940326839655, score=0.770470 -   1.3s
[CV] c1=0.1787919379043906, c2=0.00010399598390936041 ................
[CV]  c1=0.1787919379043906, c2=0.00010399598390936041, score=0.828753 -   1.3s
[CV] c1=0.5570744317602155, c2=0.09700437944132101 ...................
[CV]  c1=0.5570744317602155, c2=0.09700437944132101, score=0.781994 -   1.4s
[CV] c1=0.4313703821649066, c2=0.11496137021992328 ...................
[CV]  c1=0.4313703821649066, c2=0.11496137021992328, score=0.741322 -   1.4s
[CV] c1=0.12762079172918972, c2=0.06266293494222526 ..................
[CV]  c1=0.12762079172918972, c2=0.06266293494222526, score=0.783954 -   1.4s
[CV] c1=0.3027885932949944, c2=0.10523384120065643 ...................
[CV]  c1=0.3027885932949944, c2=0.10523384120065643, score=0.825596 -   1.3s
[CV] c1=1.9171808012395322, c2=0.05123944404802752 ...................
[CV]  c1=1.9171808012395322, c2=0.05123944404802752, score=0.608089 -   1.4s
[CV] c1=0.01995074337730242, c2=0.04357120459529698 ..................
[CV]  c1=0.01995074337730242, c2=0.04357120459529698, score=0.827589 -   1.4s
[CV] c1=0.49306687636696234, c2=0.016357412822932363 .................
[CV]  c1=0.49306687636696234, c2=0.016357412822932363, score=0.789104 -   1.2s
[CV] c1=0.31510516647392145, c2=0.0578692230184164 ...................
[CV]  c1=0.31510516647392145, c2=0.0578692230184164, score=0.889681 -   1.4s
[CV] c1=0.21847468106634166, c2=0.06438152237697357 ..................
[CV]  c1=0.21847468106634166, c2=0.06438152237697357, score=0.790415 -   1.4s
[CV] c1=0.7712606360558824, c2=0.07892108365466645 ...................
[CV]  c1=0.7712606360558824, c2=0.07892108365466645, score=0.677970 -   1.3s
[CV] c1=0.2949008463640428, c2=0.07055940326839655 ...................
[CV]  c1=0.2949008463640428, c2=0.07055940326839655, score=0.807138 -   1.4s
[CV] c1=0.26551018951853034, c2=0.034315195250496595 .................
[CV]  c1=0.26551018951853034, c2=0.034315195250496595, score=0.669912 -   1.0s
[CV] c1=2.347646690788734, c2=0.026553966476118518 ...................
[CV]  c1=2.347646690788734, c2=0.026553966476118518, score=0.485796 -   1.0s
[CV] c1=0.36229545232339794, c2=0.00393878169022789 ..................
[CV]  c1=0.36229545232339794, c2=0.00393878169022789, score=0.727634 -   1.1s
[CV] c1=0.18322396353247228, c2=0.011248570229634035 .................
[CV]  c1=0.18322396353247228, c2=0.011248570229634035, score=0.829260 -   1.4s
[CV] c1=0.2865793796399091, c2=0.1365100353090478 ....................
[CV]  c1=0.2865793796399091, c2=0.1365100353090478, score=0.803437 -   1.4s
[CV] c1=0.2590065735500138, c2=0.05242293530338659 ...................
[CV]  c1=0.2590065735500138, c2=0.05242293530338659, score=0.817789 -   1.4s
[CV] c1=0.2138416527040747, c2=0.048252693300706084 ..................
[CV]  c1=0.2138416527040747, c2=0.048252693300706084, score=0.799138 -   1.4s
[CV] c1=1.1941808551277688, c2=0.06814201211405557 ...................
[CV]  c1=1.1941808551277688, c2=0.06814201211405557, score=0.603557 -   1.1s
[CV] c1=0.28932099059372357, c2=0.056659710741058446 .................
[CV]  c1=0.28932099059372357, c2=0.056659710741058446, score=0.779931 -   0.9s
[CV] c1=0.08691517980075586, c2=0.16138003113504668 ..................
[CV]  c1=0.08691517980075586, c2=0.16138003113504668, score=0.815084 -   1.1s
[CV] c1=0.09780371899379489, c2=0.09087957209111587 ..................
[CV]  c1=0.09780371899379489, c2=0.09087957209111587, score=0.781398 -   1.4s
[CV] c1=0.17734723596443722, c2=0.07842763475332093 ..................
[CV]  c1=0.17734723596443722, c2=0.07842763475332093, score=0.842813 -   1.4s
[CV] c1=0.11839675454596203, c2=0.07084344100815868 ..................
[CV]  c1=0.11839675454596203, c2=0.07084344100815868, score=0.666021 -   1.2s
[CV] c1=0.157586179258399, c2=0.022159879326172204 ...................
[CV]  c1=0.157586179258399, c2=0.022159879326172204, score=0.826867 -   1.4s
[CV] c1=0.13002827530948066, c2=0.0013682544388588737 ................
[CV]  c1=0.13002827530948066, c2=0.0013682544388588737, score=0.802720 -   1.4s
[CV] c1=0.27437660977018996, c2=0.023575607252695686 .................
[CV]  c1=0.27437660977018996, c2=0.023575607252695686, score=0.799138 -   1.4s
[CV] c1=0.5904238199676781, c2=0.10993516560563021 ...................
[CV]  c1=0.5904238199676781, c2=0.10993516560563021, score=0.779867 -   1.4s
[CV] c1=0.2865793796399091, c2=0.1365100353090478 ....................
[CV]  c1=0.2865793796399091, c2=0.1365100353090478, score=0.882794 -   1.3s
[CV] c1=0.2590065735500138, c2=0.05242293530338659 ...................
[CV]  c1=0.2590065735500138, c2=0.05242293530338659, score=0.663180 -   1.1s
[CV] c1=1.9171808012395322, c2=0.05123944404802752 ...................
[CV]  c1=1.9171808012395322, c2=0.05123944404802752, score=0.539727 -   1.3s
[CV] c1=1.4014789340118803, c2=0.06326205726902089 ...................
[CV]  c1=1.4014789340118803, c2=0.06326205726902089, score=0.795709 -   1.4s
[CV] c1=0.21573642625369938, c2=0.11203046221330529 ..................
[CV]  c1=0.21573642625369938, c2=0.11203046221330529, score=0.829842 -   1.1s
[CV] c1=0.1718172650660396, c2=0.08360344111719004 ...................
[CV]  c1=0.1718172650660396, c2=0.08360344111719004, score=0.666348 -   0.9s
[CV] c1=0.09780371899379489, c2=0.09087957209111587 ..................
[CV]  c1=0.09780371899379489, c2=0.09087957209111587, score=0.842370 -   1.3s
[CV] c1=1.531607061812668, c2=0.03277018751655638 ....................
[CV]  c1=1.531607061812668, c2=0.03277018751655638, score=0.713573 -   1.3s
[CV] c1=0.6766970562332139, c2=0.01957355321937916 ...................
[CV]  c1=0.6766970562332139, c2=0.01957355321937916, score=0.718876 -   1.4s
[CV] c1=0.157586179258399, c2=0.022159879326172204 ...................
[CV]  c1=0.157586179258399, c2=0.022159879326172204, score=0.895684 -   1.3s
[CV] c1=0.13002827530948066, c2=0.0013682544388588737 ................
[CV]  c1=0.13002827530948066, c2=0.0013682544388588737, score=0.914641 -   1.3s
[CV] c1=0.7973515088327506, c2=0.013737751060545412 ..................
[CV]  c1=0.7973515088327506, c2=0.013737751060545412, score=0.787288 -   1.3s
[CV] c1=0.4313703821649066, c2=0.11496137021992328 ...................
[CV]  c1=0.4313703821649066, c2=0.11496137021992328, score=0.794087 -   1.3s
[CV] c1=0.12762079172918972, c2=0.06266293494222526 ..................
[CV]  c1=0.12762079172918972, c2=0.06266293494222526, score=0.848620 -   1.4s
[CV] c1=0.33703791403286226, c2=0.0216516241549142 ...................
[CV]  c1=0.33703791403286226, c2=0.0216516241549142, score=0.795572 -   1.4s
[CV] c1=0.018013571391409775, c2=0.0003804545837364183 ...............
[CV]  c1=0.018013571391409775, c2=0.0003804545837364183, score=0.812211 -   1.5s
[CV] c1=0.01995074337730242, c2=0.04357120459529698 ..................
[CV]  c1=0.01995074337730242, c2=0.04357120459529698, score=0.775025 -   1.4s
[CV] c1=0.21573642625369938, c2=0.11203046221330529 ..................
[CV]  c1=0.21573642625369938, c2=0.11203046221330529, score=0.780299 -   1.1s
[CV] c1=1.1013689582751307, c2=0.03036549622980239 ...................
[CV]  c1=1.1013689582751307, c2=0.03036549622980239, score=0.834380 -   1.4s
[CV] c1=0.6827303249314758, c2=0.038355603720273294 ..................
[CV]  c1=0.6827303249314758, c2=0.038355603720273294, score=0.721528 -   1.4s
[CV] c1=0.10155699642258048, c2=0.00978812423516541 ..................
[CV]  c1=0.10155699642258048, c2=0.00978812423516541, score=0.874599 -   1.3s
[CV] c1=0.36340591247594267, c2=0.09638763631136081 ..................
[CV]  c1=0.36340591247594267, c2=0.09638763631136081, score=0.880421 -   1.4s
[CV] c1=0.01779758403765963, c2=0.011433061888451543 .................
[CV]  c1=0.01779758403765963, c2=0.011433061888451543, score=0.855449 -   1.3s
[CV] c1=2.347646690788734, c2=0.026553966476118518 ...................
[CV]  c1=2.347646690788734, c2=0.026553966476118518, score=0.616873 -   1.2s
[CV] c1=0.9565795075782155, c2=0.014854625990134354 ..................
[CV]  c1=0.9565795075782155, c2=0.014854625990134354, score=0.856227 -   1.3s
[CV] c1=0.2733072647248947, c2=0.06129706849393726 ...................
[CV]  c1=0.2733072647248947, c2=0.06129706849393726, score=0.661845 -   1.1s
[CV] c1=0.007622093860511741, c2=0.0013294005278163855 ...............
[CV]  c1=0.007622093860511741, c2=0.0013294005278163855, score=0.726104 -   1.1s
[CV] c1=0.2590065735500138, c2=0.05242293530338659 ...................
[CV]  c1=0.2590065735500138, c2=0.05242293530338659, score=0.889420 -   1.4s
[CV] c1=0.9416675458808417, c2=0.007034125009784915 ..................
[CV]  c1=0.9416675458808417, c2=0.007034125009784915, score=0.858504 -   1.3s
[CV] c1=0.3302051404657842, c2=0.044120320996721765 ..................
[CV]  c1=0.3302051404657842, c2=0.044120320996721765, score=0.891815 -   1.5s
[CV] c1=0.28932099059372357, c2=0.056659710741058446 .................
[CV]  c1=0.28932099059372357, c2=0.056659710741058446, score=0.835598 -   0.9s
Training done in: 19.155857s
     Saving training model...
        Saving training model done in: 0.013148s
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Prediction done in: 0.030359s