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

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Run7_v10.txt 72.8 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run7
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: TrueS4: 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: 0.003653s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0        1
0       lemma        :
1      postag        :
2    -1:lemma       in
3   -1:postag       IN
4    +1:lemma       m9
5   +1:postag       NN
6        word        :
7     isUpper    False
8     isLower    False
9     isGreek    False
10   isNumber    False
11    -1:word       in
12    +1:word       M9
13   -2:lemma  culture
14  -2:postag      VBN
15   +2:lemma  minimal
16  +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
13   -2:lemma     affyexp
14  -2:postag          JJ
15   +2:lemma     glucose
16  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=1.2043857958951898, c2=0.060401354411814406 ..................
[CV]  c1=1.2043857958951898, c2=0.060401354411814406, score=0.792322 -   1.4s
[CV] c1=0.1303832521373984, c2=0.08161972034801405 ...................
[CV]  c1=0.1303832521373984, c2=0.08161972034801405, score=0.896221 -   1.6s
[CV] c1=0.05205498481003943, c2=0.04592040008225612 ..................
[CV]  c1=0.05205498481003943, c2=0.04592040008225612, score=0.729898 -   1.1s
[CV] c1=0.22228556551698073, c2=0.020876865101058767 .................
[CV]  c1=0.22228556551698073, c2=0.020876865101058767, score=0.816065 -   1.6s
[CV] c1=1.3277365533763923, c2=0.025079628933889455 ..................
[CV]  c1=1.3277365533763923, c2=0.025079628933889455, score=0.838964 -   1.5s
[CV] c1=1.2032342215644807, c2=0.0005859254111568738 .................
[CV]  c1=1.2032342215644807, c2=0.0005859254111568738, score=0.670298 -   1.2s
[CV] c1=0.03814898016845506, c2=0.005951675720993106 .................
[CV]  c1=0.03814898016845506, c2=0.005951675720993106, score=0.872148 -   1.5s
[CV] c1=0.15505384757404364, c2=0.1490370229080406 ...................
[CV]  c1=0.15505384757404364, c2=0.1490370229080406, score=0.798375 -   1.6s
[CV] c1=0.1412004427782831, c2=0.015692747585254917 ..................
[CV]  c1=0.1412004427782831, c2=0.015692747585254917, score=0.905292 -   1.6s
[CV] c1=0.270967513270341, c2=0.05530367479949766 ....................
[CV]  c1=0.270967513270341, c2=0.05530367479949766, score=0.819798 -   1.6s
[CV] c1=0.27335879674545993, c2=0.10815358803232478 ..................
[CV]  c1=0.27335879674545993, c2=0.10815358803232478, score=0.799749 -   1.6s
[CV] c1=0.7666899725508385, c2=0.03125689780225554 ...................
[CV]  c1=0.7666899725508385, c2=0.03125689780225554, score=0.800605 -   1.5s
[CV] c1=0.08587360345153065, c2=0.07871907365909458 ..................
[CV]  c1=0.08587360345153065, c2=0.07871907365909458, score=0.823928 -   1.4s
[CV] c1=0.6336982094423114, c2=0.041954287858602744 ..................
[CV]  c1=0.6336982094423114, c2=0.041954287858602744, score=0.790805 -   1.6s
[CV] c1=0.3834357297987729, c2=0.04606453252497277 ...................
[CV]  c1=0.3834357297987729, c2=0.04606453252497277, score=0.859037 -   1.6s
[CV] c1=0.10085399643839113, c2=0.007125872509448252 .................
[CV]  c1=0.10085399643839113, c2=0.007125872509448252, score=0.898988 -   1.8s
[CV] c1=0.056231397785839576, c2=0.014172789984105875 ................
[CV]  c1=0.056231397785839576, c2=0.014172789984105875, score=0.862067 -   1.5s
[CV] c1=0.504419063568912, c2=0.09025340722679763 ....................
[CV]  c1=0.504419063568912, c2=0.09025340722679763, score=0.799976 -   1.6s
[CV] c1=0.02684275989498365, c2=0.09993178260141172 ..................
[CV]  c1=0.02684275989498365, c2=0.09993178260141172, score=0.710590 -   1.3s
[CV] c1=0.19758886916627888, c2=0.0936636848206823 ...................
[CV]  c1=0.19758886916627888, c2=0.0936636848206823, score=0.693280 -   1.6s
[CV] c1=0.13578584713672012, c2=0.04016801536867112 ..................
[CV]  c1=0.13578584713672012, c2=0.04016801536867112, score=0.806023 -   1.7s
[CV] c1=0.24041824687283583, c2=0.04108529201346517 ..................
[CV]  c1=0.24041824687283583, c2=0.04108529201346517, score=0.802138 -   1.6s
[CV] c1=1.5997097262913202, c2=0.03681662478732967 ...................
[CV]  c1=1.5997097262913202, c2=0.03681662478732967, score=0.542078 -   1.3s
[CV] c1=0.2896980670867035, c2=0.008513262758419966 ..................
[CV]  c1=0.2896980670867035, c2=0.008513262758419966, score=0.729576 -   1.3s
[CV] c1=1.2043857958951898, c2=0.060401354411814406 ..................
[CV]  c1=1.2043857958951898, c2=0.060401354411814406, score=0.602174 -   1.5s
[CV] c1=0.8659583719084252, c2=0.027292100343170856 ..................
[CV]  c1=0.8659583719084252, c2=0.027292100343170856, score=0.865243 -   1.5s
[CV] c1=0.05205498481003943, c2=0.04592040008225612 ..................
[CV]  c1=0.05205498481003943, c2=0.04592040008225612, score=0.856248 -   1.4s
[CV] c1=0.9717582476649536, c2=0.018487320393680718 ..................
[CV]  c1=0.9717582476649536, c2=0.018487320393680718, score=0.676312 -   1.6s
[CV] c1=0.38837885646271936, c2=0.06719829110643637 ..................
[CV]  c1=0.38837885646271936, c2=0.06719829110643637, score=0.808760 -   1.6s
[CV] c1=0.5879829717334427, c2=0.19286462271138471 ...................
[CV]  c1=0.5879829717334427, c2=0.19286462271138471, score=0.872438 -   1.5s
[CV] c1=0.33445081273599236, c2=0.14127097878030415 ..................
[CV]  c1=0.33445081273599236, c2=0.14127097878030415, score=0.685474 -   1.2s
[CV] c1=0.4100179817556497, c2=0.05569134281282463 ...................
[CV]  c1=0.4100179817556497, c2=0.05569134281282463, score=0.807507 -   1.6s
[CV] c1=0.9216827980095935, c2=0.059738841219246545 ..................
[CV]  c1=0.9216827980095935, c2=0.059738841219246545, score=0.673090 -   1.2s
[CV] c1=2.0132750045495316, c2=0.062441405441525405 ..................
[CV]  c1=2.0132750045495316, c2=0.062441405441525405, score=0.716614 -   1.4s
[CV] c1=0.6765108136941216, c2=0.008461485896891673 ..................
[CV]  c1=0.6765108136941216, c2=0.008461485896891673, score=0.809912 -   1.5s
[CV] c1=0.04599253268928306, c2=0.07153634430999656 ..................
[CV]  c1=0.04599253268928306, c2=0.07153634430999656, score=0.793132 -   1.6s
[CV] c1=0.2856417767158612, c2=0.007864809450927863 ..................
[CV]  c1=0.2856417767158612, c2=0.007864809450927863, score=0.794087 -   1.4s
[CV] c1=0.8287726059530922, c2=0.0218115226972607 ....................
[CV]  c1=0.8287726059530922, c2=0.0218115226972607, score=0.776959 -   1.6s
[CV] c1=0.45242830824843566, c2=0.01000393497653243 ..................
[CV]  c1=0.45242830824843566, c2=0.01000393497653243, score=0.710426 -   1.2s
[CV] c1=0.302872206354495, c2=0.08384235022447417 ....................
[CV]  c1=0.302872206354495, c2=0.08384235022447417, score=0.868329 -   1.6s
[CV] c1=0.3099476224302616, c2=0.023428259062879486 ..................
[CV]  c1=0.3099476224302616, c2=0.023428259062879486, score=0.859037 -   1.5s
[CV] c1=0.45665204012406724, c2=0.022645058000125742 .................
[CV]  c1=0.45665204012406724, c2=0.022645058000125742, score=0.780115 -   1.6s
[CV] c1=0.03814898016845506, c2=0.005951675720993106 .................
[CV]  c1=0.03814898016845506, c2=0.005951675720993106, score=0.879462 -   1.5s
[CV] c1=0.15505384757404364, c2=0.1490370229080406 ...................
[CV]  c1=0.15505384757404364, c2=0.1490370229080406, score=0.887198 -   1.8s
[CV] c1=0.13578584713672012, c2=0.04016801536867112 ..................
[CV]  c1=0.13578584713672012, c2=0.04016801536867112, score=0.861208 -   1.5s
[CV] c1=2.0132750045495316, c2=0.062441405441525405 ..................
[CV]  c1=2.0132750045495316, c2=0.062441405441525405, score=0.601927 -   1.5s
[CV] c1=0.27335879674545993, c2=0.10815358803232478 ..................
[CV]  c1=0.27335879674545993, c2=0.10815358803232478, score=0.853270 -   1.6s
[CV] c1=0.7666899725508385, c2=0.03125689780225554 ...................
[CV]  c1=0.7666899725508385, c2=0.03125689780225554, score=0.776959 -   1.5s
[CV] c1=0.6967343038734426, c2=0.02691805324153529 ...................
[CV]  c1=0.6967343038734426, c2=0.02691805324153529, score=0.700884 -   1.3s
[CV] c1=0.35242236789243975, c2=0.04706258854080394 ..................
[CV]  c1=0.35242236789243975, c2=0.04706258854080394, score=0.790242 -   1.5s
[CV] c1=0.03130668968815097, c2=0.013573257825079892 .................
[CV]  c1=0.03130668968815097, c2=0.013573257825079892, score=0.870749 -   1.5s
[CV] c1=0.22228556551698073, c2=0.020876865101058767 .................
[CV]  c1=0.22228556551698073, c2=0.020876865101058767, score=0.735907 -   1.3s
[CV] c1=0.3099476224302616, c2=0.023428259062879486 ..................
[CV]  c1=0.3099476224302616, c2=0.023428259062879486, score=0.842642 -   1.6s
[CV] c1=0.6856977241467517, c2=0.013316955262296652 ..................
[CV]  c1=0.6856977241467517, c2=0.013316955262296652, score=0.730668 -   1.6s
[CV] c1=0.2110970077541155, c2=0.043613980306264906 ..................
[CV]  c1=0.2110970077541155, c2=0.043613980306264906, score=0.802138 -   1.6s
[CV] c1=0.19758886916627888, c2=0.0936636848206823 ...................
[CV]  c1=0.19758886916627888, c2=0.0936636848206823, score=0.792724 -   1.6s
[CV] c1=1.8563520165808165, c2=0.1201790910389506 ....................
[CV]  c1=1.8563520165808165, c2=0.1201790910389506, score=0.516092 -   1.2s
[CV] c1=0.270967513270341, c2=0.05530367479949766 ....................
[CV]  c1=0.270967513270341, c2=0.05530367479949766, score=0.799749 -   1.7s
[CV] c1=0.27335879674545993, c2=0.10815358803232478 ..................
[CV]  c1=0.27335879674545993, c2=0.10815358803232478, score=0.822560 -   1.6s
[CV] c1=0.2896980670867035, c2=0.008513262758419966 ..................
[CV]  c1=0.2896980670867035, c2=0.008513262758419966, score=0.803666 -   1.6s
[CV] c1=0.07812258056381888, c2=0.08291810250290926 ..................
[CV]  c1=0.07812258056381888, c2=0.08291810250290926, score=0.889418 -   1.5s
[CV] c1=0.8659583719084252, c2=0.027292100343170856 ..................
[CV]  c1=0.8659583719084252, c2=0.027292100343170856, score=0.702006 -   1.2s
[CV] c1=0.21547013346204516, c2=0.16665901995880408 ..................
[CV]  c1=0.21547013346204516, c2=0.16665901995880408, score=0.783174 -   1.7s
[CV] c1=0.9717582476649536, c2=0.018487320393680718 ..................
[CV]  c1=0.9717582476649536, c2=0.018487320393680718, score=0.861540 -   1.4s
[CV] c1=0.38837885646271936, c2=0.06719829110643637 ..................
[CV]  c1=0.38837885646271936, c2=0.06719829110643637, score=0.898802 -   1.5s
[CV] c1=0.13183192640942668, c2=0.037387579209346274 .................
[CV]  c1=0.13183192640942668, c2=0.037387579209346274, score=0.731684 -   1.2s
[CV] c1=0.2110970077541155, c2=0.043613980306264906 ..................
[CV]  c1=0.2110970077541155, c2=0.043613980306264906, score=0.865502 -   1.5s
[CV] c1=0.19758886916627888, c2=0.0936636848206823 ...................
[CV]  c1=0.19758886916627888, c2=0.0936636848206823, score=0.799749 -   1.5s
[CV] c1=0.13578584713672012, c2=0.04016801536867112 ..................
[CV]  c1=0.13578584713672012, c2=0.04016801536867112, score=0.896815 -   1.7s
[CV] c1=2.0132750045495316, c2=0.062441405441525405 ..................
[CV]  c1=2.0132750045495316, c2=0.062441405441525405, score=0.562783 -   1.6s
[CV] c1=0.5727739668443358, c2=0.05833841665666875 ...................
[CV]  c1=0.5727739668443358, c2=0.05833841665666875, score=0.878864 -   1.5s
[CV] c1=0.2896980670867035, c2=0.008513262758419966 ..................
[CV]  c1=0.2896980670867035, c2=0.008513262758419966, score=0.897424 -   1.5s
[CV] c1=0.5416988848520281, c2=0.00668791894975206 ...................
[CV]  c1=0.5416988848520281, c2=0.00668791894975206, score=0.896984 -   1.6s
[CV] c1=0.01669894430337303, c2=0.020727244483354584 .................
[CV]  c1=0.01669894430337303, c2=0.020727244483354584, score=0.840527 -   1.4s
[CV] c1=0.03130668968815097, c2=0.013573257825079892 .................
[CV]  c1=0.03130668968815097, c2=0.013573257825079892, score=0.812234 -   1.5s
[CV] c1=0.3885499458686489, c2=0.07450810754795427 ...................
[CV]  c1=0.3885499458686489, c2=0.07450810754795427, score=0.896240 -   1.6s
[CV] c1=1.3277365533763923, c2=0.025079628933889455 ..................
[CV]  c1=1.3277365533763923, c2=0.025079628933889455, score=0.591466 -   1.2s
[CV] c1=0.6856977241467517, c2=0.013316955262296652 ..................
[CV]  c1=0.6856977241467517, c2=0.013316955262296652, score=0.813149 -   1.5s
[CV] c1=0.03814898016845506, c2=0.005951675720993106 .................
[CV]  c1=0.03814898016845506, c2=0.005951675720993106, score=0.823555 -   1.5s
[CV] c1=0.19758886916627888, c2=0.0936636848206823 ...................
[CV]  c1=0.19758886916627888, c2=0.0936636848206823, score=0.898204 -   1.5s
[CV] c1=0.1412004427782831, c2=0.015692747585254917 ..................
[CV]  c1=0.1412004427782831, c2=0.015692747585254917, score=0.808412 -   1.6s
[CV] c1=2.0132750045495316, c2=0.062441405441525405 ..................
[CV]  c1=2.0132750045495316, c2=0.062441405441525405, score=0.792384 -   1.5s
[CV] c1=0.6765108136941216, c2=0.008461485896891673 ..................
[CV]  c1=0.6765108136941216, c2=0.008461485896891673, score=0.790805 -   1.6s
[CV] c1=0.7666899725508385, c2=0.03125689780225554 ...................
[CV]  c1=0.7666899725508385, c2=0.03125689780225554, score=0.706076 -   1.5s
[CV] c1=1.2043857958951898, c2=0.060401354411814406 ..................
[CV]  c1=1.2043857958951898, c2=0.060401354411814406, score=0.634407 -   1.6s
[CV] c1=0.1303832521373984, c2=0.08161972034801405 ...................
[CV]  c1=0.1303832521373984, c2=0.08161972034801405, score=0.789548 -   1.6s
[CV] c1=0.1639871572868098, c2=0.06967144253941036 ...................
[CV]  c1=0.1639871572868098, c2=0.06967144253941036, score=0.799749 -   1.6s
[CV] c1=0.4518273369070966, c2=0.08928547824817669 ...................
[CV]  c1=0.4518273369070966, c2=0.08928547824817669, score=0.853849 -   1.5s
[CV] c1=0.26297555248007237, c2=0.009955768892402496 .................
[CV]  c1=0.26297555248007237, c2=0.009955768892402496, score=0.859037 -   1.5s
[CV] c1=0.5879829717334427, c2=0.19286462271138471 ...................
[CV]  c1=0.5879829717334427, c2=0.19286462271138471, score=0.658931 -   1.2s
[CV] c1=0.16349618036726207, c2=0.05215049229690566 ..................
[CV]  c1=0.16349618036726207, c2=0.05215049229690566, score=0.894012 -   1.6s
[CV] c1=0.12926616002379795, c2=0.049528429088857524 .................
[CV]  c1=0.12926616002379795, c2=0.049528429088857524, score=0.795036 -   1.6s
[CV] c1=0.22341636955999358, c2=0.031191836299083377 .................
[CV]  c1=0.22341636955999358, c2=0.031191836299083377, score=0.739388 -   1.2s
[CV] c1=0.24041824687283583, c2=0.04108529201346517 ..................
[CV]  c1=0.24041824687283583, c2=0.04108529201346517, score=0.854628 -   1.6s
[CV] c1=1.5997097262913202, c2=0.03681662478732967 ...................
[CV]  c1=1.5997097262913202, c2=0.03681662478732967, score=0.819690 -   1.5s
[CV] c1=0.09308963596329936, c2=0.007204253724223242 .................
[CV]  c1=0.09308963596329936, c2=0.007204253724223242, score=0.717407 -   1.2s
[CV] c1=0.3493836294359443, c2=0.04245730961468691 ...................
[CV]  c1=0.3493836294359443, c2=0.04245730961468691, score=0.902900 -   1.3s
[CV] c1=0.6336982094423114, c2=0.041954287858602744 ..................
[CV]  c1=0.6336982094423114, c2=0.041954287858602744, score=0.701682 -   1.1s
[CV] c1=0.08376790082453218, c2=0.05359653105028281 ..................
[CV]  c1=0.08376790082453218, c2=0.05359653105028281, score=0.898988 -   1.5s
[CV] c1=0.3432426966445519, c2=0.03572048496621319 ...................
[CV]  c1=0.3432426966445519, c2=0.03572048496621319, score=0.737630 -   1.3s
[CV] c1=0.9717582476649536, c2=0.018487320393680718 ..................
[CV]  c1=0.9717582476649536, c2=0.018487320393680718, score=0.698414 -   1.6s
[CV] c1=0.26297555248007237, c2=0.009955768892402496 .................
[CV]  c1=0.26297555248007237, c2=0.009955768892402496, score=0.813673 -   1.6s
[CV] c1=0.5879829717334427, c2=0.19286462271138471 ...................
[CV]  c1=0.5879829717334427, c2=0.19286462271138471, score=0.712770 -   1.6s
[CV] c1=0.16197172219105654, c2=0.0060663178644266786 ................
[CV]  c1=0.16197172219105654, c2=0.0060663178644266786, score=0.900088 -   1.6s
[CV] c1=0.11504368539440539, c2=0.02236279942793307 ..................
[CV]  c1=0.11504368539440539, c2=0.02236279942793307, score=0.724807 -   1.3s
[CV] c1=0.22341636955999358, c2=0.031191836299083377 .................
[CV]  c1=0.22341636955999358, c2=0.031191836299083377, score=0.902628 -   1.5s
[CV] c1=0.024586060743926875, c2=0.10748399665961889 .................
[CV]  c1=0.024586060743926875, c2=0.10748399665961889, score=0.721309 -   1.2s
[CV] c1=0.5727739668443358, c2=0.05833841665666875 ...................
[CV]  c1=0.5727739668443358, c2=0.05833841665666875, score=0.823390 -   1.5s
[CV] c1=0.2896980670867035, c2=0.008513262758419966 ..................
[CV]  c1=0.2896980670867035, c2=0.008513262758419966, score=0.859037 -   1.6s
[CV] c1=0.07812258056381888, c2=0.08291810250290926 ..................
[CV]  c1=0.07812258056381888, c2=0.08291810250290926, score=0.800679 -   1.5s
[CV] c1=0.8659583719084252, c2=0.027292100343170856 ..................
[CV]  c1=0.8659583719084252, c2=0.027292100343170856, score=0.815335 -   1.5s
[CV] c1=0.1639871572868098, c2=0.06967144253941036 ...................
[CV]  c1=0.1639871572868098, c2=0.06967144253941036, score=0.702121 -   1.2s
[CV] c1=0.3885499458686489, c2=0.07450810754795427 ...................
[CV]  c1=0.3885499458686489, c2=0.07450810754795427, score=0.802130 -   1.5s
[CV] c1=0.38837885646271936, c2=0.06719829110643637 ..................
[CV]  c1=0.38837885646271936, c2=0.06719829110643637, score=0.719895 -   1.3s
[CV] c1=1.2032342215644807, c2=0.0005859254111568738 .................
[CV]  c1=1.2032342215644807, c2=0.0005859254111568738, score=0.799919 -   1.5s
[CV] c1=0.02684275989498365, c2=0.09993178260141172 ..................
[CV]  c1=0.02684275989498365, c2=0.09993178260141172, score=0.815070 -   1.4s
[CV] c1=0.4100179817556497, c2=0.05569134281282463 ...................
[CV]  c1=0.4100179817556497, c2=0.05569134281282463, score=0.782640 -   1.6s
[CV] c1=1.8563520165808165, c2=0.1201790910389506 ....................
[CV]  c1=1.8563520165808165, c2=0.1201790910389506, score=0.556300 -   1.6s
[CV] c1=0.18392240018113237, c2=0.0012186333810262394 ................
[CV]  c1=0.18392240018113237, c2=0.0012186333810262394, score=0.730153 -   1.4s
[CV] c1=0.5727739668443358, c2=0.05833841665666875 ...................
[CV]  c1=0.5727739668443358, c2=0.05833841665666875, score=0.737273 -   1.6s
[CV] c1=0.09308963596329936, c2=0.007204253724223242 .................
[CV]  c1=0.09308963596329936, c2=0.007204253724223242, score=0.908773 -   1.5s
[CV] c1=0.3493836294359443, c2=0.04245730961468691 ...................
[CV]  c1=0.3493836294359443, c2=0.04245730961468691, score=0.816376 -   1.6s
[CV] c1=0.35242236789243975, c2=0.04706258854080394 ..................
[CV]  c1=0.35242236789243975, c2=0.04706258854080394, score=0.728976 -   1.1s
[CV] c1=0.8325145980719628, c2=0.002251253561707695 ..................
[CV]  c1=0.8325145980719628, c2=0.002251253561707695, score=0.779548 -   1.6s
[CV] c1=0.302872206354495, c2=0.08384235022447417 ....................
[CV]  c1=0.302872206354495, c2=0.08384235022447417, score=0.697094 -   1.3s
[CV] c1=0.012316301647138131, c2=0.009102803536126162 ................
[CV]  c1=0.012316301647138131, c2=0.009102803536126162, score=0.765360 -   1.3s
[CV] c1=0.4896892648673475, c2=0.028740050863057073 ..................
[CV]  c1=0.4896892648673475, c2=0.028740050863057073, score=0.713591 -   1.2s
[CV] c1=0.13183192640942668, c2=0.037387579209346274 .................
[CV]  c1=0.13183192640942668, c2=0.037387579209346274, score=0.858212 -   1.6s
[CV] c1=0.33445081273599236, c2=0.14127097878030415 ..................
[CV]  c1=0.33445081273599236, c2=0.14127097878030415, score=0.776928 -   1.6s
[CV] c1=0.4135580914219232, c2=0.11215969073862059 ...................
[CV]  c1=0.4135580914219232, c2=0.11215969073862059, score=0.857007 -   1.5s
[CV] c1=0.20164155466514658, c2=0.0017562257852346344 ................
[CV]  c1=0.20164155466514658, c2=0.0017562257852346344, score=0.900088 -   1.6s
[CV] c1=0.5855877336710307, c2=0.007605662231055079 ..................
[CV]  c1=0.5855877336710307, c2=0.007605662231055079, score=0.703602 -   1.2s
[CV] c1=0.33762483009750327, c2=0.023154096992592847 .................
[CV]  c1=0.33762483009750327, c2=0.023154096992592847, score=0.717677 -   1.2s
[CV] c1=0.2896980670867035, c2=0.008513262758419966 ..................
[CV]  c1=0.2896980670867035, c2=0.008513262758419966, score=0.806991 -   1.6s
[CV] c1=0.07812258056381888, c2=0.08291810250290926 ..................
[CV]  c1=0.07812258056381888, c2=0.08291810250290926, score=0.845918 -   1.4s
[CV] c1=0.8659583719084252, c2=0.027292100343170856 ..................
[CV]  c1=0.8659583719084252, c2=0.027292100343170856, score=0.669554 -   1.5s
[CV] c1=0.1639871572868098, c2=0.06967144253941036 ...................
[CV]  c1=0.1639871572868098, c2=0.06967144253941036, score=0.865502 -   1.4s
[CV] c1=0.4518273369070966, c2=0.08928547824817669 ...................
[CV]  c1=0.4518273369070966, c2=0.08928547824817669, score=0.896240 -   1.5s
[CV] c1=0.26297555248007237, c2=0.009955768892402496 .................
[CV]  c1=0.26297555248007237, c2=0.009955768892402496, score=0.733496 -   1.0s
[CV] c1=0.504419063568912, c2=0.09025340722679763 ....................
[CV]  c1=0.504419063568912, c2=0.09025340722679763, score=0.740110 -   1.5s
[CV] c1=0.2110970077541155, c2=0.043613980306264906 ..................
[CV]  c1=0.2110970077541155, c2=0.043613980306264906, score=0.819444 -   1.6s
[CV] c1=0.4100179817556497, c2=0.05569134281282463 ...................
[CV]  c1=0.4100179817556497, c2=0.05569134281282463, score=0.862215 -   1.5s
[CV] c1=1.8563520165808165, c2=0.1201790910389506 ....................
[CV]  c1=1.8563520165808165, c2=0.1201790910389506, score=0.618435 -   1.5s
[CV] c1=0.18392240018113237, c2=0.0012186333810262394 ................
[CV]  c1=0.18392240018113237, c2=0.0012186333810262394, score=0.905292 -   1.5s
[CV] c1=0.5727739668443358, c2=0.05833841665666875 ...................
[CV]  c1=0.5727739668443358, c2=0.05833841665666875, score=0.793318 -   1.6s
[CV] c1=0.09308963596329936, c2=0.007204253724223242 .................
[CV]  c1=0.09308963596329936, c2=0.007204253724223242, score=0.829774 -   1.5s
[CV] c1=0.2856417767158612, c2=0.007864809450927863 ..................
[CV]  c1=0.2856417767158612, c2=0.007864809450927863, score=0.857880 -   1.5s
[CV] c1=0.35242236789243975, c2=0.04706258854080394 ..................
[CV]  c1=0.35242236789243975, c2=0.04706258854080394, score=0.868329 -   1.5s
[CV] c1=0.45242830824843566, c2=0.01000393497653243 ..................
[CV]  c1=0.45242830824843566, c2=0.01000393497653243, score=0.798329 -   1.5s
[CV] c1=0.10085399643839113, c2=0.007125872509448252 .................
[CV]  c1=0.10085399643839113, c2=0.007125872509448252, score=0.854282 -   1.6s
[CV] c1=0.056231397785839576, c2=0.014172789984105875 ................
[CV]  c1=0.056231397785839576, c2=0.014172789984105875, score=0.898546 -   1.5s
[CV] c1=0.504419063568912, c2=0.09025340722679763 ....................
[CV]  c1=0.504419063568912, c2=0.09025340722679763, score=0.891322 -   1.5s
[CV] c1=0.2110970077541155, c2=0.043613980306264906 ..................
[CV]  c1=0.2110970077541155, c2=0.043613980306264906, score=0.900528 -   1.7s
[CV] c1=0.4100179817556497, c2=0.05569134281282463 ...................
[CV]  c1=0.4100179817556497, c2=0.05569134281282463, score=0.898802 -   1.8s
[CV] c1=0.9216827980095935, c2=0.059738841219246545 ..................
[CV]  c1=0.9216827980095935, c2=0.059738841219246545, score=0.820859 -   1.5s
[CV] c1=0.18392240018113237, c2=0.0012186333810262394 ................
[CV]  c1=0.18392240018113237, c2=0.0012186333810262394, score=0.868240 -   1.5s
[CV] c1=1.5997097262913202, c2=0.03681662478732967 ...................
[CV]  c1=1.5997097262913202, c2=0.03681662478732967, score=0.781900 -   1.5s
[CV] c1=0.09308963596329936, c2=0.007204253724223242 .................
[CV]  c1=0.09308963596329936, c2=0.007204253724223242, score=0.873245 -   1.5s
[CV] c1=0.24564128780643296, c2=0.03427068389640332 ..................
[CV]  c1=0.24564128780643296, c2=0.03427068389640332, score=0.757168 -   1.0s
[CV] c1=0.09826998998367671, c2=0.031375410801819596 .................
[CV]  c1=0.09826998998367671, c2=0.031375410801819596, score=0.855817 -   1.4s
[CV] c1=0.08376790082453218, c2=0.05359653105028281 ..................
[CV]  c1=0.08376790082453218, c2=0.05359653105028281, score=0.804447 -   1.6s
[CV] c1=0.3432426966445519, c2=0.03572048496621319 ...................
[CV]  c1=0.3432426966445519, c2=0.03572048496621319, score=0.868329 -   1.5s
[CV] c1=0.22598737917351733, c2=0.004583067084873201 .................
[CV]  c1=0.22598737917351733, c2=0.004583067084873201, score=0.861990 -   1.4s
[CV] c1=0.4896892648673475, c2=0.028740050863057073 ..................
[CV]  c1=0.4896892648673475, c2=0.028740050863057073, score=0.784754 -   1.6s
[CV] c1=0.04213783419357405, c2=0.08211738795813764 ..................
[CV]  c1=0.04213783419357405, c2=0.08211738795813764, score=0.778465 -   1.6s
[CV] c1=0.37621330788512497, c2=0.013939412298902285 .................
[CV]  c1=0.37621330788512497, c2=0.013939412298902285, score=0.717237 -   1.2s
[CV] c1=0.4135580914219232, c2=0.11215969073862059 ...................
[CV]  c1=0.4135580914219232, c2=0.11215969073862059, score=0.808517 -   1.7s
[CV] c1=0.20164155466514658, c2=0.0017562257852346344 ................
[CV]  c1=0.20164155466514658, c2=0.0017562257852346344, score=0.868240 -   1.6s
[CV] c1=0.5855877336710307, c2=0.007605662231055079 ..................
[CV]  c1=0.5855877336710307, c2=0.007605662231055079, score=0.844477 -   1.4s
[CV] c1=0.7170091756002054, c2=0.06917374933914197 ...................
[CV]  c1=0.7170091756002054, c2=0.06917374933914197, score=0.711165 -   1.3s
[CV] c1=0.09308963596329936, c2=0.007204253724223242 .................
[CV]  c1=0.09308963596329936, c2=0.007204253724223242, score=0.857866 -   1.5s
[CV] c1=0.24564128780643296, c2=0.03427068389640332 ..................
[CV]  c1=0.24564128780643296, c2=0.03427068389640332, score=0.809990 -   1.5s
[CV] c1=0.35242236789243975, c2=0.04706258854080394 ..................
[CV]  c1=0.35242236789243975, c2=0.04706258854080394, score=0.902900 -   1.6s
[CV] c1=0.45242830824843566, c2=0.01000393497653243 ..................
[CV]  c1=0.45242830824843566, c2=0.01000393497653243, score=0.858674 -   1.5s
[CV] c1=0.10085399643839113, c2=0.007125872509448252 .................
[CV]  c1=0.10085399643839113, c2=0.007125872509448252, score=0.877540 -   1.5s
[CV] c1=0.26763239780644543, c2=0.003235600608941896 .................
[CV]  c1=0.26763239780644543, c2=0.003235600608941896, score=0.819133 -   1.6s
[CV] c1=0.504419063568912, c2=0.09025340722679763 ....................
[CV]  c1=0.504419063568912, c2=0.09025340722679763, score=0.848881 -   1.6s
[CV] c1=0.02684275989498365, c2=0.09993178260141172 ..................
[CV]  c1=0.02684275989498365, c2=0.09993178260141172, score=0.814672 -   1.6s
[CV] c1=0.12926616002379795, c2=0.049528429088857524 .................
[CV]  c1=0.12926616002379795, c2=0.049528429088857524, score=0.896815 -   1.5s
[CV] c1=0.9216827980095935, c2=0.059738841219246545 ..................
[CV]  c1=0.9216827980095935, c2=0.059738841219246545, score=0.855870 -   1.6s
[CV] c1=0.18392240018113237, c2=0.0012186333810262394 ................
[CV]  c1=0.18392240018113237, c2=0.0012186333810262394, score=0.848133 -   1.6s
[CV] c1=0.33762483009750327, c2=0.023154096992592847 .................
[CV]  c1=0.33762483009750327, c2=0.023154096992592847, score=0.803666 -   1.7s
[CV] c1=0.3682595413652638, c2=0.005079223450839252 ..................
[CV]  c1=0.3682595413652638, c2=0.005079223450839252, score=0.716688 -   1.2s
[CV] c1=0.3493836294359443, c2=0.04245730961468691 ...................
[CV]  c1=0.3493836294359443, c2=0.04245730961468691, score=0.790352 -   1.5s
[CV] c1=0.8287726059530922, c2=0.0218115226972607 ....................
[CV]  c1=0.8287726059530922, c2=0.0218115226972607, score=0.692211 -   1.5s
[CV] c1=0.3834357297987729, c2=0.04606453252497277 ...................
[CV]  c1=0.3834357297987729, c2=0.04606453252497277, score=0.807507 -   1.6s
[CV] c1=0.10085399643839113, c2=0.007125872509448252 .................
[CV]  c1=0.10085399643839113, c2=0.007125872509448252, score=0.731202 -   1.3s
[CV] c1=0.012316301647138131, c2=0.009102803536126162 ................
[CV]  c1=0.012316301647138131, c2=0.009102803536126162, score=0.792471 -   1.6s
[CV] c1=0.45665204012406724, c2=0.022645058000125742 .................
[CV]  c1=0.45665204012406724, c2=0.022645058000125742, score=0.714054 -   1.3s
[CV] c1=0.9339059132889629, c2=0.08757244054173148 ...................
[CV]  c1=0.9339059132889629, c2=0.08757244054173148, score=0.684467 -   1.6s
[CV] c1=0.4195327174405199, c2=0.1516276432759467 ....................
[CV]  c1=0.4195327174405199, c2=0.1516276432759467, score=0.896240 -   1.7s
[CV] c1=1.7079089512551864, c2=0.10145480537299655 ...................
[CV]  c1=1.7079089512551864, c2=0.10145480537299655, score=0.781900 -   1.5s
[CV] c1=1.355439708063288, c2=0.006848779396081491 ...................
[CV]  c1=1.355439708063288, c2=0.006848779396081491, score=0.575092 -   1.6s
[CV] c1=0.6765108136941216, c2=0.008461485896891673 ..................
[CV]  c1=0.6765108136941216, c2=0.008461485896891673, score=0.724454 -   1.6s
[CV] c1=0.7666899725508385, c2=0.03125689780225554 ...................
[CV]  c1=0.7666899725508385, c2=0.03125689780225554, score=0.863134 -   1.5s
[CV] c1=0.6967343038734426, c2=0.02691805324153529 ...................
[CV]  c1=0.6967343038734426, c2=0.02691805324153529, score=0.803283 -   1.5s
[CV] c1=1.6508974768598983, c2=0.006519079368267277 ..................
[CV]  c1=1.6508974768598983, c2=0.006519079368267277, score=0.555649 -   1.2s
[CV] c1=0.03130668968815097, c2=0.013573257825079892 .................
[CV]  c1=0.03130668968815097, c2=0.013573257825079892, score=0.766972 -   1.2s
[CV] c1=0.302872206354495, c2=0.08384235022447417 ....................
[CV]  c1=0.302872206354495, c2=0.08384235022447417, score=0.822560 -   1.6s
[CV] c1=0.26763239780644543, c2=0.003235600608941896 .................
[CV]  c1=0.26763239780644543, c2=0.003235600608941896, score=0.730181 -   1.3s
[CV] c1=0.45665204012406724, c2=0.022645058000125742 .................
[CV]  c1=0.45665204012406724, c2=0.022645058000125742, score=0.892373 -   1.5s
[CV] c1=0.686833367805904, c2=0.032707684840138404 ...................
[CV]  c1=0.686833367805904, c2=0.032707684840138404, score=0.863134 -   1.5s
[CV] c1=0.4195327174405199, c2=0.1516276432759467 ....................
[CV]  c1=0.4195327174405199, c2=0.1516276432759467, score=0.671765 -   1.2s
[CV] c1=0.11504368539440539, c2=0.02236279942793307 ..................
[CV]  c1=0.11504368539440539, c2=0.02236279942793307, score=0.865502 -   1.4s
[CV] c1=0.20164155466514658, c2=0.0017562257852346344 ................
[CV]  c1=0.20164155466514658, c2=0.0017562257852346344, score=0.724648 -   1.2s
[CV] c1=0.18392240018113237, c2=0.0012186333810262394 ................
[CV]  c1=0.18392240018113237, c2=0.0012186333810262394, score=0.805821 -   1.5s
[CV] c1=1.5997097262913202, c2=0.03681662478732967 ...................
[CV]  c1=1.5997097262913202, c2=0.03681662478732967, score=0.570340 -   1.7s
[CV] c1=0.42643294292587536, c2=0.013605933021995975 .................
[CV]  c1=0.42643294292587536, c2=0.013605933021995975, score=0.708040 -   1.2s
[CV] c1=0.07812258056381888, c2=0.08291810250290926 ..................
[CV]  c1=0.07812258056381888, c2=0.08291810250290926, score=0.697636 -   1.3s
[CV] c1=1.6508974768598983, c2=0.006519079368267277 ..................
[CV]  c1=1.6508974768598983, c2=0.006519079368267277, score=0.779912 -   1.5s
[CV] c1=0.21547013346204516, c2=0.16665901995880408 ..................
[CV]  c1=0.21547013346204516, c2=0.16665901995880408, score=0.789548 -   1.9s
[CV] c1=0.4518273369070966, c2=0.08928547824817669 ...................
[CV]  c1=0.4518273369070966, c2=0.08928547824817669, score=0.802718 -   1.6s
[CV] c1=0.4896892648673475, c2=0.028740050863057073 ..................
[CV]  c1=0.4896892648673475, c2=0.028740050863057073, score=0.896240 -   1.6s
[CV] c1=0.04213783419357405, c2=0.08211738795813764 ..................
[CV]  c1=0.04213783419357405, c2=0.08211738795813764, score=0.850983 -   1.5s
[CV] c1=0.16197172219105654, c2=0.0060663178644266786 ................
[CV]  c1=0.16197172219105654, c2=0.0060663178644266786, score=0.743975 -   1.2s
[CV] c1=0.12926616002379795, c2=0.049528429088857524 .................
[CV]  c1=0.12926616002379795, c2=0.049528429088857524, score=0.855817 -   1.5s
[CV] c1=0.9216827980095935, c2=0.059738841219246545 ..................
[CV]  c1=0.9216827980095935, c2=0.059738841219246545, score=0.686751 -   1.5s
[CV] c1=0.024586060743926875, c2=0.10748399665961889 .................
[CV]  c1=0.024586060743926875, c2=0.10748399665961889, score=0.869054 -   1.5s
[CV] c1=0.33762483009750327, c2=0.023154096992592847 .................
[CV]  c1=0.33762483009750327, c2=0.023154096992592847, score=0.911097 -   1.6s
[CV] c1=0.42643294292587536, c2=0.013605933021995975 .................
[CV]  c1=0.42643294292587536, c2=0.013605933021995975, score=0.858674 -   1.3s
[CV] c1=0.6967343038734426, c2=0.02691805324153529 ...................
[CV]  c1=0.6967343038734426, c2=0.02691805324153529, score=0.730801 -   1.6s
[CV] c1=0.1303832521373984, c2=0.08161972034801405 ...................
[CV]  c1=0.1303832521373984, c2=0.08161972034801405, score=0.688020 -   1.3s
[CV] c1=0.21547013346204516, c2=0.16665901995880408 ..................
[CV]  c1=0.21547013346204516, c2=0.16665901995880408, score=0.856428 -   1.5s
[CV] c1=0.3885499458686489, c2=0.07450810754795427 ...................
[CV]  c1=0.3885499458686489, c2=0.07450810754795427, score=0.862215 -   1.5s
[CV] c1=1.3277365533763923, c2=0.025079628933889455 ..................
[CV]  c1=1.3277365533763923, c2=0.025079628933889455, score=0.800800 -   1.4s
[CV] c1=1.2032342215644807, c2=0.0005859254111568738 .................
[CV]  c1=1.2032342215644807, c2=0.0005859254111568738, score=0.627565 -   1.6s
[CV] c1=0.02684275989498365, c2=0.09993178260141172 ..................
[CV]  c1=0.02684275989498365, c2=0.09993178260141172, score=0.778916 -   1.6s
[CV] c1=0.12926616002379795, c2=0.049528429088857524 .................
[CV]  c1=0.12926616002379795, c2=0.049528429088857524, score=0.802340 -   1.6s
[CV] c1=0.9216827980095935, c2=0.059738841219246545 ..................
[CV]  c1=0.9216827980095935, c2=0.059738841219246545, score=0.690203 -   1.7s
[CV] c1=0.024586060743926875, c2=0.10748399665961889 .................
[CV]  c1=0.024586060743926875, c2=0.10748399665961889, score=0.855135 -   1.5s
[CV] c1=0.33762483009750327, c2=0.023154096992592847 .................
[CV]  c1=0.33762483009750327, c2=0.023154096992592847, score=0.859037 -   1.5s
[CV] c1=0.42643294292587536, c2=0.013605933021995975 .................
[CV]  c1=0.42643294292587536, c2=0.013605933021995975, score=0.897070 -   1.4s
[CV] c1=0.08587360345153065, c2=0.07871907365909458 ..................
[CV]  c1=0.08587360345153065, c2=0.07871907365909458, score=0.860111 -   1.0s
[CV] c1=0.09826998998367671, c2=0.031375410801819596 .................
[CV]  c1=0.09826998998367671, c2=0.031375410801819596, score=0.721082 -   1.5s
[CV] c1=0.08376790082453218, c2=0.05359653105028281 ..................
[CV]  c1=0.08376790082453218, c2=0.05359653105028281, score=0.824792 -   1.6s
[CV] c1=0.4191382189321323, c2=0.0018797634977168074 .................
[CV]  c1=0.4191382189321323, c2=0.0018797634977168074, score=0.780989 -   1.7s
[CV] c1=0.3099476224302616, c2=0.023428259062879486 ..................
[CV]  c1=0.3099476224302616, c2=0.023428259062879486, score=0.911695 -   1.7s
[CV] c1=0.45665204012406724, c2=0.022645058000125742 .................
[CV]  c1=0.45665204012406724, c2=0.022645058000125742, score=0.853466 -   1.5s
[CV] c1=0.686833367805904, c2=0.032707684840138404 ...................
[CV]  c1=0.686833367805904, c2=0.032707684840138404, score=0.788087 -   1.7s
[CV] c1=0.15505384757404364, c2=0.1490370229080406 ...................
[CV]  c1=0.15505384757404364, c2=0.1490370229080406, score=0.865502 -   1.8s
[CV] c1=1.8563520165808165, c2=0.1201790910389506 ....................
[CV]  c1=1.8563520165808165, c2=0.1201790910389506, score=0.793897 -   1.6s
[CV] c1=0.24041824687283583, c2=0.04108529201346517 ..................
[CV]  c1=0.24041824687283583, c2=0.04108529201346517, score=0.868329 -   1.6s
[CV] c1=1.5997097262913202, c2=0.03681662478732967 ...................
[CV]  c1=1.5997097262913202, c2=0.03681662478732967, score=0.606476 -   1.7s
[CV] c1=0.42643294292587536, c2=0.013605933021995975 .................
[CV]  c1=0.42643294292587536, c2=0.013605933021995975, score=0.790540 -   1.4s
[CV] c1=0.3493836294359443, c2=0.04245730961468691 ...................
[CV]  c1=0.3493836294359443, c2=0.04245730961468691, score=0.863332 -   1.1s
[CV] c1=0.09826998998367671, c2=0.031375410801819596 .................
[CV]  c1=0.09826998998367671, c2=0.031375410801819596, score=0.822560 -   1.6s
[CV] c1=0.8325145980719628, c2=0.002251253561707695 ..................
[CV]  c1=0.8325145980719628, c2=0.002251253561707695, score=0.817525 -   1.5s
[CV] c1=0.4191382189321323, c2=0.0018797634977168074 .................
[CV]  c1=0.4191382189321323, c2=0.0018797634977168074, score=0.858674 -   1.6s
[CV] c1=0.012316301647138131, c2=0.009102803536126162 ................
[CV]  c1=0.012316301647138131, c2=0.009102803536126162, score=0.796684 -   1.6s
[CV] c1=0.0012621363630293684, c2=0.09259802458584554 ................
[CV]  c1=0.0012621363630293684, c2=0.09259802458584554, score=0.855135 -   1.5s
[CV] c1=0.9339059132889629, c2=0.08757244054173148 ...................
[CV]  c1=0.9339059132889629, c2=0.08757244054173148, score=0.794253 -   1.5s
[CV] c1=0.37621330788512497, c2=0.013939412298902285 .................
[CV]  c1=0.37621330788512497, c2=0.013939412298902285, score=0.803666 -   1.6s
[CV] c1=1.7079089512551864, c2=0.10145480537299655 ...................
[CV]  c1=1.7079089512551864, c2=0.10145480537299655, score=0.801021 -   1.5s
[CV] c1=1.355439708063288, c2=0.006848779396081491 ...................
[CV]  c1=1.355439708063288, c2=0.006848779396081491, score=0.828819 -   1.5s
[CV] c1=0.20053875250490066, c2=0.06400550612995508 ..................
[CV]  c1=0.20053875250490066, c2=0.06400550612995508, score=0.897424 -   1.6s
[CV] c1=0.1104794573745464, c2=0.02327003554011552 ...................
[CV]  c1=0.1104794573745464, c2=0.02327003554011552, score=0.734100 -   1.2s
[CV] c1=0.04699301242618911, c2=0.05184140103389351 ..................
[CV]  c1=0.04699301242618911, c2=0.05184140103389351, score=0.865810 -   1.2s
[CV] c1=0.08587360345153065, c2=0.07871907365909458 ..................
[CV]  c1=0.08587360345153065, c2=0.07871907365909458, score=0.886999 -   1.3s
[CV] c1=0.6336982094423114, c2=0.041954287858602744 ..................
[CV]  c1=0.6336982094423114, c2=0.041954287858602744, score=0.883947 -   1.5s
[CV] c1=0.8325145980719628, c2=0.002251253561707695 ..................
[CV]  c1=0.8325145980719628, c2=0.002251253561707695, score=0.700838 -   1.3s
[CV] c1=0.3432426966445519, c2=0.03572048496621319 ...................
[CV]  c1=0.3432426966445519, c2=0.03572048496621319, score=0.795877 -   1.7s
[CV] c1=0.012316301647138131, c2=0.009102803536126162 ................
[CV]  c1=0.012316301647138131, c2=0.009102803536126162, score=0.862473 -   1.6s
[CV] c1=0.0012621363630293684, c2=0.09259802458584554 ................
[CV]  c1=0.0012621363630293684, c2=0.09259802458584554, score=0.723509 -   1.2s
[CV] c1=0.5879829717334427, c2=0.19286462271138471 ...................
[CV]  c1=0.5879829717334427, c2=0.19286462271138471, score=0.789786 -   1.6s
[CV] c1=0.16197172219105654, c2=0.0060663178644266786 ................
[CV]  c1=0.16197172219105654, c2=0.0060663178644266786, score=0.813673 -   1.6s
[CV] c1=0.5846976228479903, c2=0.018390545845337787 ..................
[CV]  c1=0.5846976228479903, c2=0.018390545845337787, score=0.891322 -   1.6s
[CV] c1=0.3268124336385543, c2=0.09716286954887404 ...................
[CV]  c1=0.3268124336385543, c2=0.09716286954887404, score=0.702883 -   1.3s
[CV] c1=0.024586060743926875, c2=0.10748399665961889 .................
[CV]  c1=0.024586060743926875, c2=0.10748399665961889, score=0.778916 -   1.6s
[CV] c1=0.7170091756002054, c2=0.06917374933914197 ...................
[CV]  c1=0.7170091756002054, c2=0.06917374933914197, score=0.801029 -   1.6s
[CV] c1=0.3682595413652638, c2=0.005079223450839252 ..................
[CV]  c1=0.3682595413652638, c2=0.005079223450839252, score=0.858674 -   1.3s
[CV] c1=0.24564128780643296, c2=0.03427068389640332 ..................
[CV]  c1=0.24564128780643296, c2=0.03427068389640332, score=0.898022 -   1.5s
[CV] c1=0.8287726059530922, c2=0.0218115226972607 ....................
[CV]  c1=0.8287726059530922, c2=0.0218115226972607, score=0.803283 -   1.3s
[CV] c1=0.3834357297987729, c2=0.04606453252497277 ...................
[CV]  c1=0.3834357297987729, c2=0.04606453252497277, score=0.776928 -   1.5s
[CV] c1=0.302872206354495, c2=0.08384235022447417 ....................
[CV]  c1=0.302872206354495, c2=0.08384235022447417, score=0.799749 -   1.7s
[CV] c1=0.26763239780644543, c2=0.003235600608941896 .................
[CV]  c1=0.26763239780644543, c2=0.003235600608941896, score=0.902628 -   1.5s
[CV] c1=0.6856977241467517, c2=0.013316955262296652 ..................
[CV]  c1=0.6856977241467517, c2=0.013316955262296652, score=0.701526 -   1.3s
[CV] c1=0.686833367805904, c2=0.032707684840138404 ...................
[CV]  c1=0.686833367805904, c2=0.032707684840138404, score=0.702097 -   1.2s
[CV] c1=0.16197172219105654, c2=0.0060663178644266786 ................
[CV]  c1=0.16197172219105654, c2=0.0060663178644266786, score=0.872534 -   1.5s
[CV] c1=0.11504368539440539, c2=0.02236279942793307 ..................
[CV]  c1=0.11504368539440539, c2=0.02236279942793307, score=0.858212 -   1.7s
[CV] c1=0.3268124336385543, c2=0.09716286954887404 ...................
[CV]  c1=0.3268124336385543, c2=0.09716286954887404, score=0.862542 -   1.5s
[CV] c1=1.992884890646443, c2=0.00880543999848185 ....................
[CV]  c1=1.992884890646443, c2=0.00880543999848185, score=0.712669 -   1.4s
[CV] c1=1.0916062738358319, c2=0.19219099466815615 ...................
[CV]  c1=1.0916062738358319, c2=0.19219099466815615, score=0.848313 -   1.6s
[CV] c1=0.04699301242618911, c2=0.05184140103389351 ..................
[CV]  c1=0.04699301242618911, c2=0.05184140103389351, score=0.729898 -   1.2s
[CV] c1=0.6967343038734426, c2=0.02691805324153529 ...................
[CV]  c1=0.6967343038734426, c2=0.02691805324153529, score=0.816175 -   1.6s
[CV] c1=0.1303832521373984, c2=0.08161972034801405 ...................
[CV]  c1=0.1303832521373984, c2=0.08161972034801405, score=0.865502 -   1.5s
[CV] c1=0.05205498481003943, c2=0.04592040008225612 ..................
[CV]  c1=0.05205498481003943, c2=0.04592040008225612, score=0.812234 -   1.5s
[CV] c1=0.9717582476649536, c2=0.018487320393680718 ..................
[CV]  c1=0.9717582476649536, c2=0.018487320393680718, score=0.687168 -   1.2s
[CV] c1=0.056231397785839576, c2=0.014172789984105875 ................
[CV]  c1=0.056231397785839576, c2=0.014172789984105875, score=0.809184 -   1.6s
[CV] c1=1.2032342215644807, c2=0.0005859254111568738 .................
[CV]  c1=1.2032342215644807, c2=0.0005859254111568738, score=0.854723 -   1.5s
[CV] c1=0.02684275989498365, c2=0.09993178260141172 ..................
[CV]  c1=0.02684275989498365, c2=0.09993178260141172, score=0.878292 -   1.5s
[CV] c1=0.4100179817556497, c2=0.05569134281282463 ...................
[CV]  c1=0.4100179817556497, c2=0.05569134281282463, score=0.720384 -   1.3s
[CV] c1=0.1412004427782831, c2=0.015692747585254917 ..................
[CV]  c1=0.1412004427782831, c2=0.015692747585254917, score=0.822214 -   1.6s
[CV] c1=2.0132750045495316, c2=0.062441405441525405 ..................
[CV]  c1=2.0132750045495316, c2=0.062441405441525405, score=0.517137 -   1.2s
[CV] c1=0.20053875250490066, c2=0.06400550612995508 ..................
[CV]  c1=0.20053875250490066, c2=0.06400550612995508, score=0.720402 -   1.2s
[CV] c1=0.7170091756002054, c2=0.06917374933914197 ...................
[CV]  c1=0.7170091756002054, c2=0.06917374933914197, score=0.779548 -   1.6s
[CV] c1=0.04699301242618911, c2=0.05184140103389351 ..................
[CV]  c1=0.04699301242618911, c2=0.05184140103389351, score=0.814672 -   1.2s
[CV] c1=0.5416988848520281, c2=0.00668791894975206 ...................
[CV]  c1=0.5416988848520281, c2=0.00668791894975206, score=0.711308 -   1.2s
[CV] c1=0.8287726059530922, c2=0.0218115226972607 ....................
[CV]  c1=0.8287726059530922, c2=0.0218115226972607, score=0.858510 -   1.3s
[CV] c1=0.3834357297987729, c2=0.04606453252497277 ...................
[CV]  c1=0.3834357297987729, c2=0.04606453252497277, score=0.902900 -   1.5s
[CV] c1=0.302872206354495, c2=0.08384235022447417 ....................
[CV]  c1=0.302872206354495, c2=0.08384235022447417, score=0.900801 -   1.6s
[CV] c1=0.3099476224302616, c2=0.023428259062879486 ..................
[CV]  c1=0.3099476224302616, c2=0.023428259062879486, score=0.809990 -   1.6s
[CV] c1=0.45665204012406724, c2=0.022645058000125742 .................
[CV]  c1=0.45665204012406724, c2=0.022645058000125742, score=0.807507 -   1.5s
[CV] c1=0.03814898016845506, c2=0.005951675720993106 .................
[CV]  c1=0.03814898016845506, c2=0.005951675720993106, score=0.737429 -   1.2s
[CV] c1=0.37621330788512497, c2=0.013939412298902285 .................
[CV]  c1=0.37621330788512497, c2=0.013939412298902285, score=0.810575 -   1.6s
[CV] c1=0.5846976228479903, c2=0.018390545845337787 ..................
[CV]  c1=0.5846976228479903, c2=0.018390545845337787, score=0.790805 -   1.6s
[CV] c1=1.355439708063288, c2=0.006848779396081491 ...................
[CV]  c1=1.355439708063288, c2=0.006848779396081491, score=0.624222 -   1.3s
[CV] c1=1.992884890646443, c2=0.00880543999848185 ....................
[CV]  c1=1.992884890646443, c2=0.00880543999848185, score=0.778047 -   1.5s
[CV] c1=1.0916062738358319, c2=0.19219099466815615 ...................
[CV]  c1=1.0916062738358319, c2=0.19219099466815615, score=0.596802 -   1.2s
[CV] c1=0.42643294292587536, c2=0.013605933021995975 .................
[CV]  c1=0.42643294292587536, c2=0.013605933021995975, score=0.811026 -   1.4s
[CV] c1=0.07812258056381888, c2=0.08291810250290926 ..................
[CV]  c1=0.07812258056381888, c2=0.08291810250290926, score=0.791860 -   1.5s
[CV] c1=0.8659583719084252, c2=0.027292100343170856 ..................
[CV]  c1=0.8659583719084252, c2=0.027292100343170856, score=0.770915 -   1.6s
[CV] c1=0.3432426966445519, c2=0.03572048496621319 ...................
[CV]  c1=0.3432426966445519, c2=0.03572048496621319, score=0.911097 -   1.5s
[CV] c1=0.22598737917351733, c2=0.004583067084873201 .................
[CV]  c1=0.22598737917351733, c2=0.004583067084873201, score=0.900088 -   1.5s
[CV] c1=0.26297555248007237, c2=0.009955768892402496 .................
[CV]  c1=0.26297555248007237, c2=0.009955768892402496, score=0.807507 -   1.6s
[CV] c1=0.04213783419357405, c2=0.08211738795813764 ..................
[CV]  c1=0.04213783419357405, c2=0.08211738795813764, score=0.722421 -   1.2s
[CV] c1=0.33445081273599236, c2=0.14127097878030415 ..................
[CV]  c1=0.33445081273599236, c2=0.14127097878030415, score=0.896240 -   1.7s
[CV] c1=0.4135580914219232, c2=0.11215969073862059 ...................
[CV]  c1=0.4135580914219232, c2=0.11215969073862059, score=0.776928 -   1.5s
[CV] c1=0.22341636955999358, c2=0.031191836299083377 .................
[CV]  c1=0.22341636955999358, c2=0.031191836299083377, score=0.802138 -   1.5s
[CV] c1=0.024586060743926875, c2=0.10748399665961889 .................
[CV]  c1=0.024586060743926875, c2=0.10748399665961889, score=0.814672 -   1.6s
[CV] c1=0.33762483009750327, c2=0.023154096992592847 .................
[CV]  c1=0.33762483009750327, c2=0.023154096992592847, score=0.810575 -   1.7s
[CV] c1=0.3682595413652638, c2=0.005079223450839252 ..................
[CV]  c1=0.3682595413652638, c2=0.005079223450839252, score=0.802138 -   1.4s
[CV] c1=0.6967343038734426, c2=0.02691805324153529 ...................
[CV]  c1=0.6967343038734426, c2=0.02691805324153529, score=0.874956 -   1.6s
[CV] c1=1.6508974768598983, c2=0.006519079368267277 ..................
[CV]  c1=1.6508974768598983, c2=0.006519079368267277, score=0.606476 -   1.6s
[CV] c1=0.05205498481003943, c2=0.04592040008225612 ..................
[CV]  c1=0.05205498481003943, c2=0.04592040008225612, score=0.885340 -   1.5s
[CV] c1=0.9717582476649536, c2=0.018487320393680718 ..................
[CV]  c1=0.9717582476649536, c2=0.018487320393680718, score=0.804904 -   1.5s
[CV] c1=0.38837885646271936, c2=0.06719829110643637 ..................
[CV]  c1=0.38837885646271936, c2=0.06719829110643637, score=0.783174 -   1.8s
[CV] c1=0.04213783419357405, c2=0.08211738795813764 ..................
[CV]  c1=0.04213783419357405, c2=0.08211738795813764, score=0.876852 -   1.7s
[CV] c1=0.37621330788512497, c2=0.013939412298902285 .................
[CV]  c1=0.37621330788512497, c2=0.013939412298902285, score=0.904668 -   1.6s
[CV] c1=0.5846976228479903, c2=0.018390545845337787 ..................
[CV]  c1=0.5846976228479903, c2=0.018390545845337787, score=0.711710 -   1.2s
[CV] c1=0.22341636955999358, c2=0.031191836299083377 .................
[CV]  c1=0.22341636955999358, c2=0.031191836299083377, score=0.871290 -   1.8s
[CV] c1=0.5855877336710307, c2=0.007605662231055079 ..................
[CV]  c1=0.5855877336710307, c2=0.007605662231055079, score=0.805650 -   1.6s
[CV] c1=1.0916062738358319, c2=0.19219099466815615 ...................
[CV]  c1=1.0916062738358319, c2=0.19219099466815615, score=0.780984 -   1.5s
[CV] c1=0.04699301242618911, c2=0.05184140103389351 ..................
[CV]  c1=0.04699301242618911, c2=0.05184140103389351, score=0.845918 -   1.1s
[CV] c1=1.2043857958951898, c2=0.060401354411814406 ..................
[CV]  c1=1.2043857958951898, c2=0.060401354411814406, score=0.629090 -   1.2s
[CV] c1=0.01669894430337303, c2=0.020727244483354584 .................
[CV]  c1=0.01669894430337303, c2=0.020727244483354584, score=0.861847 -   1.4s
[CV] c1=0.45242830824843566, c2=0.01000393497653243 ..................
[CV]  c1=0.45242830824843566, c2=0.01000393497653243, score=0.840026 -   1.6s
[CV] c1=0.22228556551698073, c2=0.020876865101058767 .................
[CV]  c1=0.22228556551698073, c2=0.020876865101058767, score=0.866995 -   1.5s
[CV] c1=0.056231397785839576, c2=0.014172789984105875 ................
[CV]  c1=0.056231397785839576, c2=0.014172789984105875, score=0.735964 -   1.3s
[CV] c1=0.6856977241467517, c2=0.013316955262296652 ..................
[CV]  c1=0.6856977241467517, c2=0.013316955262296652, score=0.876911 -   1.5s
[CV] c1=0.03814898016845506, c2=0.005951675720993106 .................
[CV]  c1=0.03814898016845506, c2=0.005951675720993106, score=0.812276 -   1.6s
[CV] c1=0.15505384757404364, c2=0.1490370229080406 ...................
[CV]  c1=0.15505384757404364, c2=0.1490370229080406, score=0.789548 -   1.6s
[CV] c1=0.1412004427782831, c2=0.015692747585254917 ..................
[CV]  c1=0.1412004427782831, c2=0.015692747585254917, score=0.856633 -   1.5s
[CV] c1=0.270967513270341, c2=0.05530367479949766 ....................
[CV]  c1=0.270967513270341, c2=0.05530367479949766, score=0.862542 -   1.4s
[CV] c1=0.6765108136941216, c2=0.008461485896891673 ..................
[CV]  c1=0.6765108136941216, c2=0.008461485896891673, score=0.879023 -   1.6s
[CV] c1=0.04599253268928306, c2=0.07153634430999656 ..................
[CV]  c1=0.04599253268928306, c2=0.07153634430999656, score=0.720221 -   1.2s
[CV] c1=0.04699301242618911, c2=0.05184140103389351 ..................
[CV]  c1=0.04699301242618911, c2=0.05184140103389351, score=0.786948 -   1.2s
[CV] c1=0.24564128780643296, c2=0.03427068389640332 ..................
[CV]  c1=0.24564128780643296, c2=0.03427068389640332, score=0.866284 -   1.4s
[CV] c1=0.8287726059530922, c2=0.0218115226972607 ....................
[CV]  c1=0.8287726059530922, c2=0.0218115226972607, score=0.696455 -   1.1s
[CV] c1=0.8325145980719628, c2=0.002251253561707695 ..................
[CV]  c1=0.8325145980719628, c2=0.002251253561707695, score=0.868235 -   1.5s
[CV] c1=0.4191382189321323, c2=0.0018797634977168074 .................
[CV]  c1=0.4191382189321323, c2=0.0018797634977168074, score=0.711360 -   1.3s
[CV] c1=0.22598737917351733, c2=0.004583067084873201 .................
[CV]  c1=0.22598737917351733, c2=0.004583067084873201, score=0.813673 -   1.6s
[CV] c1=0.0012621363630293684, c2=0.09259802458584554 ................
[CV]  c1=0.0012621363630293684, c2=0.09259802458584554, score=0.874258 -   1.5s
[CV] c1=0.9339059132889629, c2=0.08757244054173148 ...................
[CV]  c1=0.9339059132889629, c2=0.08757244054173148, score=0.681360 -   1.3s
[CV] c1=0.33445081273599236, c2=0.14127097878030415 ..................
[CV]  c1=0.33445081273599236, c2=0.14127097878030415, score=0.814352 -   1.7s
[CV] c1=0.11504368539440539, c2=0.02236279942793307 ..................
[CV]  c1=0.11504368539440539, c2=0.02236279942793307, score=0.816264 -   1.6s
[CV] c1=0.20164155466514658, c2=0.0017562257852346344 ................
[CV]  c1=0.20164155466514658, c2=0.0017562257852346344, score=0.813644 -   1.6s
[CV] c1=1.992884890646443, c2=0.00880543999848185 ....................
[CV]  c1=1.992884890646443, c2=0.00880543999848185, score=0.520892 -   1.2s
[CV] c1=0.7170091756002054, c2=0.06917374933914197 ...................
[CV]  c1=0.7170091756002054, c2=0.06917374933914197, score=0.874664 -   1.5s
[CV] c1=0.3682595413652638, c2=0.005079223450839252 ..................
[CV]  c1=0.3682595413652638, c2=0.005079223450839252, score=0.904668 -   1.5s
[CV] c1=0.2856417767158612, c2=0.007864809450927863 ..................
[CV]  c1=0.2856417767158612, c2=0.007864809450927863, score=0.839574 -   1.5s
[CV] c1=0.01669894430337303, c2=0.020727244483354584 .................
[CV]  c1=0.01669894430337303, c2=0.020727244483354584, score=0.752368 -   1.2s
[CV] c1=0.45242830824843566, c2=0.01000393497653243 ..................
[CV]  c1=0.45242830824843566, c2=0.01000393497653243, score=0.896472 -   1.6s
[CV] c1=0.10085399643839113, c2=0.007125872509448252 .................
[CV]  c1=0.10085399643839113, c2=0.007125872509448252, score=0.813673 -   1.6s
[CV] c1=0.26763239780644543, c2=0.003235600608941896 .................
[CV]  c1=0.26763239780644543, c2=0.003235600608941896, score=0.807350 -   1.6s
[CV] c1=0.6856977241467517, c2=0.013316955262296652 ..................
[CV]  c1=0.6856977241467517, c2=0.013316955262296652, score=0.819805 -   1.5s
[CV] c1=0.2110970077541155, c2=0.043613980306264906 ..................
[CV]  c1=0.2110970077541155, c2=0.043613980306264906, score=0.731630 -   1.2s
[CV] c1=0.4195327174405199, c2=0.1516276432759467 ....................
[CV]  c1=0.4195327174405199, c2=0.1516276432759467, score=0.843945 -   1.6s
[CV] c1=1.7079089512551864, c2=0.10145480537299655 ...................
[CV]  c1=1.7079089512551864, c2=0.10145480537299655, score=0.610727 -   1.5s
[CV] c1=1.355439708063288, c2=0.006848779396081491 ...................
[CV]  c1=1.355439708063288, c2=0.006848779396081491, score=0.614454 -   1.6s
[CV] c1=0.20053875250490066, c2=0.06400550612995508 ..................
[CV]  c1=0.20053875250490066, c2=0.06400550612995508, score=0.861208 -   1.6s
[CV] c1=0.1104794573745464, c2=0.02327003554011552 ...................
[CV]  c1=0.1104794573745464, c2=0.02327003554011552, score=0.860524 -   1.6s
[CV] c1=1.136430167545178, c2=0.007911184884819927 ...................
[CV]  c1=1.136430167545178, c2=0.007911184884819927, score=0.678898 -   0.9s
[CV] c1=0.24564128780643296, c2=0.03427068389640332 ..................
[CV]  c1=0.24564128780643296, c2=0.03427068389640332, score=0.822560 -   1.6s
[CV] c1=0.01669894430337303, c2=0.020727244483354584 .................
[CV]  c1=0.01669894430337303, c2=0.020727244483354584, score=0.800950 -   1.5s
[CV] c1=0.03130668968815097, c2=0.013573257825079892 .................
[CV]  c1=0.03130668968815097, c2=0.013573257825079892, score=0.798620 -   1.6s
[CV] c1=0.3885499458686489, c2=0.07450810754795427 ...................
[CV]  c1=0.3885499458686489, c2=0.07450810754795427, score=0.776928 -   1.6s
[CV] c1=1.3277365533763923, c2=0.025079628933889455 ..................
[CV]  c1=1.3277365533763923, c2=0.025079628933889455, score=0.575092 -   1.6s
[CV] c1=0.13183192640942668, c2=0.037387579209346274 .................
[CV]  c1=0.13183192640942668, c2=0.037387579209346274, score=0.855817 -   1.5s
[CV] c1=0.16349618036726207, c2=0.05215049229690566 ..................
[CV]  c1=0.16349618036726207, c2=0.05215049229690566, score=0.792724 -   1.6s
[CV] c1=0.4135580914219232, c2=0.11215969073862059 ...................
[CV]  c1=0.4135580914219232, c2=0.11215969073862059, score=0.896240 -   1.7s
[CV] c1=0.22341636955999358, c2=0.031191836299083377 .................
[CV]  c1=0.22341636955999358, c2=0.031191836299083377, score=0.822560 -   1.7s
[CV] c1=0.5855877336710307, c2=0.007605662231055079 ..................
[CV]  c1=0.5855877336710307, c2=0.007605662231055079, score=0.738850 -   1.7s
[CV] c1=1.0916062738358319, c2=0.19219099466815615 ...................
[CV]  c1=1.0916062738358319, c2=0.19219099466815615, score=0.635975 -   1.7s
[CV] c1=0.06266618269951245, c2=0.10761794815347801 ..................
[CV]  c1=0.06266618269951245, c2=0.10761794815347801, score=0.724797 -   1.1s
[CV] c1=0.5416988848520281, c2=0.00668791894975206 ...................
[CV]  c1=0.5416988848520281, c2=0.00668791894975206, score=0.805650 -   1.6s
[CV] c1=1.6508974768598983, c2=0.006519079368267277 ..................
[CV]  c1=1.6508974768598983, c2=0.006519079368267277, score=0.567810 -   1.8s
[CV] c1=0.1639871572868098, c2=0.06967144253941036 ...................
[CV]  c1=0.1639871572868098, c2=0.06967144253941036, score=0.792724 -   1.6s
[CV] c1=0.22598737917351733, c2=0.004583067084873201 .................
[CV]  c1=0.22598737917351733, c2=0.004583067084873201, score=0.727322 -   1.2s
[CV] c1=0.26297555248007237, c2=0.009955768892402496 .................
[CV]  c1=0.26297555248007237, c2=0.009955768892402496, score=0.905292 -   1.7s
[CV] c1=0.5879829717334427, c2=0.19286462271138471 ...................
[CV]  c1=0.5879829717334427, c2=0.19286462271138471, score=0.802980 -   1.5s
[CV] c1=0.33445081273599236, c2=0.14127097878030415 ..................
[CV]  c1=0.33445081273599236, c2=0.14127097878030415, score=0.848062 -   1.6s
[CV] c1=0.11504368539440539, c2=0.02236279942793307 ..................
[CV]  c1=0.11504368539440539, c2=0.02236279942793307, score=0.898988 -   1.6s
[CV] c1=0.20164155466514658, c2=0.0017562257852346344 ................
[CV]  c1=0.20164155466514658, c2=0.0017562257852346344, score=0.805821 -   1.5s
[CV] c1=0.5855877336710307, c2=0.007605662231055079 ..................
[CV]  c1=0.5855877336710307, c2=0.007605662231055079, score=0.884894 -   1.5s
[CV] c1=0.7170091756002054, c2=0.06917374933914197 ...................
[CV]  c1=0.7170091756002054, c2=0.06917374933914197, score=0.716866 -   1.6s
[CV] c1=0.3682595413652638, c2=0.005079223450839252 ..................
[CV]  c1=0.3682595413652638, c2=0.005079223450839252, score=0.839574 -   1.4s
[CV] c1=0.2856417767158612, c2=0.007864809450927863 ..................
[CV]  c1=0.2856417767158612, c2=0.007864809450927863, score=0.736890 -   1.1s
[CV] c1=0.6336982094423114, c2=0.041954287858602744 ..................
[CV]  c1=0.6336982094423114, c2=0.041954287858602744, score=0.803646 -   1.4s
[CV] c1=0.8325145980719628, c2=0.002251253561707695 ..................
[CV]  c1=0.8325145980719628, c2=0.002251253561707695, score=0.676732 -   1.5s
[CV] c1=0.4191382189321323, c2=0.0018797634977168074 .................
[CV]  c1=0.4191382189321323, c2=0.0018797634977168074, score=0.842642 -   1.7s
[CV] c1=0.3099476224302616, c2=0.023428259062879486 ..................
[CV]  c1=0.3099476224302616, c2=0.023428259062879486, score=0.724028 -   1.2s
[CV] c1=0.4896892648673475, c2=0.028740050863057073 ..................
[CV]  c1=0.4896892648673475, c2=0.028740050863057073, score=0.805650 -   1.5s
[CV] c1=0.9339059132889629, c2=0.08757244054173148 ...................
[CV]  c1=0.9339059132889629, c2=0.08757244054173148, score=0.855813 -   1.5s
[CV] c1=0.16197172219105654, c2=0.0060663178644266786 ................
[CV]  c1=0.16197172219105654, c2=0.0060663178644266786, score=0.851717 -   1.6s
[CV] c1=0.5846976228479903, c2=0.018390545845337787 ..................
[CV]  c1=0.5846976228479903, c2=0.018390545845337787, score=0.735291 -   1.6s
[CV] c1=0.3268124336385543, c2=0.09716286954887404 ...................
[CV]  c1=0.3268124336385543, c2=0.09716286954887404, score=0.782453 -   1.6s
[CV] c1=1.992884890646443, c2=0.00880543999848185 ....................
[CV]  c1=1.992884890646443, c2=0.00880543999848185, score=0.628148 -   1.6s
[CV] c1=1.0916062738358319, c2=0.19219099466815615 ...................
[CV]  c1=1.0916062738358319, c2=0.19219099466815615, score=0.595017 -   1.6s
[CV] c1=0.06266618269951245, c2=0.10761794815347801 ..................
[CV]  c1=0.06266618269951245, c2=0.10761794815347801, score=0.864683 -   1.2s
[CV] c1=1.2043857958951898, c2=0.060401354411814406 ..................
[CV]  c1=1.2043857958951898, c2=0.060401354411814406, score=0.854723 -   1.5s
[CV] c1=0.1303832521373984, c2=0.08161972034801405 ...................
[CV]  c1=0.1303832521373984, c2=0.08161972034801405, score=0.798375 -   1.6s
[CV] c1=0.1639871572868098, c2=0.06967144253941036 ...................
[CV]  c1=0.1639871572868098, c2=0.06967144253941036, score=0.900528 -   1.6s
[CV] c1=0.4518273369070966, c2=0.08928547824817669 ...................
[CV]  c1=0.4518273369070966, c2=0.08928547824817669, score=0.703929 -   1.3s
[CV] c1=0.38837885646271936, c2=0.06719829110643637 ..................
[CV]  c1=0.38837885646271936, c2=0.06719829110643637, score=0.863121 -   1.5s
[CV] c1=0.13183192640942668, c2=0.037387579209346274 .................
[CV]  c1=0.13183192640942668, c2=0.037387579209346274, score=0.808412 -   1.6s
[CV] c1=0.16349618036726207, c2=0.05215049229690566 ..................
[CV]  c1=0.16349618036726207, c2=0.05215049229690566, score=0.865502 -   1.5s
[CV] c1=0.12926616002379795, c2=0.049528429088857524 .................
[CV]  c1=0.12926616002379795, c2=0.049528429088857524, score=0.728590 -   1.3s
[CV] c1=0.13578584713672012, c2=0.04016801536867112 ..................
[CV]  c1=0.13578584713672012, c2=0.04016801536867112, score=0.792724 -   1.6s
[CV] c1=0.24041824687283583, c2=0.04108529201346517 ..................
[CV]  c1=0.24041824687283583, c2=0.04108529201346517, score=0.903226 -   1.5s
[CV] c1=0.5727739668443358, c2=0.05833841665666875 ...................
[CV]  c1=0.5727739668443358, c2=0.05833841665666875, score=0.711749 -   1.2s
[CV] c1=0.04599253268928306, c2=0.07153634430999656 ..................
[CV]  c1=0.04599253268928306, c2=0.07153634430999656, score=0.806751 -   1.6s
[CV] c1=1.136430167545178, c2=0.007911184884819927 ...................
[CV]  c1=1.136430167545178, c2=0.007911184884819927, score=0.607941 -   1.0s
[CV] c1=0.5416988848520281, c2=0.00668791894975206 ...................
[CV]  c1=0.5416988848520281, c2=0.00668791894975206, score=0.765915 -   1.6s
[CV] c1=1.6508974768598983, c2=0.006519079368267277 ..................
[CV]  c1=1.6508974768598983, c2=0.006519079368267277, score=0.812243 -   1.5s
[CV] c1=0.21547013346204516, c2=0.16665901995880408 ..................
[CV]  c1=0.21547013346204516, c2=0.16665901995880408, score=0.885235 -   1.5s
[CV] c1=0.3885499458686489, c2=0.07450810754795427 ...................
[CV]  c1=0.3885499458686489, c2=0.07450810754795427, score=0.721259 -   1.3s
[CV] c1=0.26763239780644543, c2=0.003235600608941896 .................
[CV]  c1=0.26763239780644543, c2=0.003235600608941896, score=0.859037 -   1.6s
[CV] c1=0.504419063568912, c2=0.09025340722679763 ....................
[CV]  c1=0.504419063568912, c2=0.09025340722679763, score=0.710606 -   1.2s
[CV] c1=0.686833367805904, c2=0.032707684840138404 ...................
[CV]  c1=0.686833367805904, c2=0.032707684840138404, score=0.803646 -   1.5s
[CV] c1=0.4195327174405199, c2=0.1516276432759467 ....................
[CV]  c1=0.4195327174405199, c2=0.1516276432759467, score=0.796839 -   1.6s
[CV] c1=1.7079089512551864, c2=0.10145480537299655 ...................
[CV]  c1=1.7079089512551864, c2=0.10145480537299655, score=0.571279 -   1.6s
[CV] c1=0.270967513270341, c2=0.05530367479949766 ....................
[CV]  c1=0.270967513270341, c2=0.05530367479949766, score=0.728976 -   1.2s
[CV] c1=1.992884890646443, c2=0.00880543999848185 ....................
[CV]  c1=1.992884890646443, c2=0.00880543999848185, score=0.547894 -   1.6s
[CV] c1=0.1104794573745464, c2=0.02327003554011552 ...................
[CV]  c1=0.1104794573745464, c2=0.02327003554011552, score=0.816264 -   1.6s
[CV] c1=1.136430167545178, c2=0.007911184884819927 ...................
[CV]  c1=1.136430167545178, c2=0.007911184884819927, score=0.848294 -   1.1s
[CV] c1=0.08587360345153065, c2=0.07871907365909458 ..................
[CV]  c1=0.08587360345153065, c2=0.07871907365909458, score=0.802058 -   1.4s
[CV] c1=0.6336982094423114, c2=0.041954287858602744 ..................
[CV]  c1=0.6336982094423114, c2=0.041954287858602744, score=0.725277 -   1.6s
[CV] c1=0.3834357297987729, c2=0.04606453252497277 ...................
[CV]  c1=0.3834357297987729, c2=0.04606453252497277, score=0.735683 -   1.3s
[CV] c1=0.4191382189321323, c2=0.0018797634977168074 .................
[CV]  c1=0.4191382189321323, c2=0.0018797634977168074, score=0.896472 -   1.7s
[CV] c1=0.012316301647138131, c2=0.009102803536126162 ................
[CV]  c1=0.012316301647138131, c2=0.009102803536126162, score=0.862067 -   1.5s
[CV] c1=0.0012621363630293684, c2=0.09259802458584554 ................
[CV]  c1=0.0012621363630293684, c2=0.09259802458584554, score=0.778916 -   1.6s
[CV] c1=0.686833367805904, c2=0.032707684840138404 ...................
[CV]  c1=0.686833367805904, c2=0.032707684840138404, score=0.725277 -   1.6s
[CV] c1=0.15505384757404364, c2=0.1490370229080406 ...................
[CV]  c1=0.15505384757404364, c2=0.1490370229080406, score=0.679004 -   1.3s
[CV] c1=1.7079089512551864, c2=0.10145480537299655 ...................
[CV]  c1=1.7079089512551864, c2=0.10145480537299655, score=0.541055 -   1.3s
[CV] c1=0.3268124336385543, c2=0.09716286954887404 ...................
[CV]  c1=0.3268124336385543, c2=0.09716286954887404, score=0.894141 -   1.9s
[CV] c1=0.6765108136941216, c2=0.008461485896891673 ..................
[CV]  c1=0.6765108136941216, c2=0.008461485896891673, score=0.707174 -   1.3s
[CV] c1=0.1104794573745464, c2=0.02327003554011552 ...................
[CV]  c1=0.1104794573745464, c2=0.02327003554011552, score=0.898393 -   1.6s
[CV] c1=0.06266618269951245, c2=0.10761794815347801 ..................
[CV]  c1=0.06266618269951245, c2=0.10761794815347801, score=0.855135 -   1.2s
[CV] c1=0.3493836294359443, c2=0.04245730961468691 ...................
[CV]  c1=0.3493836294359443, c2=0.04245730961468691, score=0.716785 -   1.0s
[CV] c1=0.09826998998367671, c2=0.031375410801819596 .................
[CV]  c1=0.09826998998367671, c2=0.031375410801819596, score=0.808412 -   1.5s
[CV] c1=0.08376790082453218, c2=0.05359653105028281 ..................
[CV]  c1=0.08376790082453218, c2=0.05359653105028281, score=0.855817 -   1.6s
[CV] c1=0.3432426966445519, c2=0.03572048496621319 ...................
[CV]  c1=0.3432426966445519, c2=0.03572048496621319, score=0.819444 -   1.6s
[CV] c1=0.22598737917351733, c2=0.004583067084873201 .................
[CV]  c1=0.22598737917351733, c2=0.004583067084873201, score=0.839059 -   1.6s
[CV] c1=0.0012621363630293684, c2=0.09259802458584554 ................
[CV]  c1=0.0012621363630293684, c2=0.09259802458584554, score=0.820196 -   1.6s
[CV] c1=0.9339059132889629, c2=0.08757244054173148 ...................
[CV]  c1=0.9339059132889629, c2=0.08757244054173148, score=0.690203 -   1.6s
[CV] c1=0.4195327174405199, c2=0.1516276432759467 ....................
[CV]  c1=0.4195327174405199, c2=0.1516276432759467, score=0.751047 -   1.7s
[CV] c1=0.1412004427782831, c2=0.015692747585254917 ..................
[CV]  c1=0.1412004427782831, c2=0.015692747585254917, score=0.748736 -   1.3s
[CV] c1=1.355439708063288, c2=0.006848779396081491 ...................
[CV]  c1=1.355439708063288, c2=0.006848779396081491, score=0.792322 -   1.6s
[CV] c1=0.20053875250490066, c2=0.06400550612995508 ..................
[CV]  c1=0.20053875250490066, c2=0.06400550612995508, score=0.792724 -   1.6s
[CV] c1=0.04599253268928306, c2=0.07153634430999656 ..................
[CV]  c1=0.04599253268928306, c2=0.07153634430999656, score=0.855135 -   1.5s
[CV] c1=1.136430167545178, c2=0.007911184884819927 ...................
[CV]  c1=1.136430167545178, c2=0.007911184884819927, score=0.803722 -   1.1s
[CV] c1=0.2856417767158612, c2=0.007864809450927863 ..................
[CV]  c1=0.2856417767158612, c2=0.007864809450927863, score=0.907129 -   1.6s
[CV] c1=0.35242236789243975, c2=0.04706258854080394 ..................
[CV]  c1=0.35242236789243975, c2=0.04706258854080394, score=0.807507 -   1.5s
[CV] c1=0.03130668968815097, c2=0.013573257825079892 .................
[CV]  c1=0.03130668968815097, c2=0.013573257825079892, score=0.855817 -   1.4s
[CV] c1=0.22228556551698073, c2=0.020876865101058767 .................
[CV]  c1=0.22228556551698073, c2=0.020876865101058767, score=0.905292 -   1.7s
[CV] c1=1.3277365533763923, c2=0.025079628933889455 ..................
[CV]  c1=1.3277365533763923, c2=0.025079628933889455, score=0.614454 -   1.6s
[CV] c1=0.13183192640942668, c2=0.037387579209346274 .................
[CV]  c1=0.13183192640942668, c2=0.037387579209346274, score=0.898988 -   1.6s
[CV] c1=0.16349618036726207, c2=0.05215049229690566 ..................
[CV]  c1=0.16349618036726207, c2=0.05215049229690566, score=0.799749 -   1.6s
[CV] c1=0.4135580914219232, c2=0.11215969073862059 ...................
[CV]  c1=0.4135580914219232, c2=0.11215969073862059, score=0.712563 -   1.2s
[CV] c1=1.8563520165808165, c2=0.1201790910389506 ....................
[CV]  c1=1.8563520165808165, c2=0.1201790910389506, score=0.709437 -   1.5s
[CV] c1=0.24041824687283583, c2=0.04108529201346517 ..................
[CV]  c1=0.24041824687283583, c2=0.04108529201346517, score=0.731630 -   1.3s
[CV] c1=0.27335879674545993, c2=0.10815358803232478 ..................
[CV]  c1=0.27335879674545993, c2=0.10815358803232478, score=0.711406 -   1.2s
[CV] c1=0.1104794573745464, c2=0.02327003554011552 ...................
[CV]  c1=0.1104794573745464, c2=0.02327003554011552, score=0.855817 -   1.5s
[CV] c1=0.06266618269951245, c2=0.10761794815347801 ..................
[CV]  c1=0.06266618269951245, c2=0.10761794815347801, score=0.803068 -   1.3s
[CV] c1=0.5416988848520281, c2=0.00668791894975206 ...................
[CV]  c1=0.5416988848520281, c2=0.00668791894975206, score=0.847539 -   1.5s
[CV] c1=0.01669894430337303, c2=0.020727244483354584 .................
[CV]  c1=0.01669894430337303, c2=0.020727244483354584, score=0.816922 -   1.6s
[CV] c1=0.21547013346204516, c2=0.16665901995880408 ..................
[CV]  c1=0.21547013346204516, c2=0.16665901995880408, score=0.686600 -   1.3s
[CV] c1=0.22228556551698073, c2=0.020876865101058767 .................
[CV]  c1=0.22228556551698073, c2=0.020876865101058767, score=0.811284 -   1.6s
[CV] c1=0.056231397785839576, c2=0.014172789984105875 ................
[CV]  c1=0.056231397785839576, c2=0.014172789984105875, score=0.829081 -   1.6s
[CV] c1=1.2032342215644807, c2=0.0005859254111568738 .................
[CV]  c1=1.2032342215644807, c2=0.0005859254111568738, score=0.603326 -   1.5s
[CV] c1=0.16349618036726207, c2=0.05215049229690566 ..................
[CV]  c1=0.16349618036726207, c2=0.05215049229690566, score=0.722269 -   1.2s
[CV] c1=0.19758886916627888, c2=0.0936636848206823 ...................
[CV]  c1=0.19758886916627888, c2=0.0936636848206823, score=0.865502 -   1.5s
[CV] c1=0.13578584713672012, c2=0.04016801536867112 ..................
[CV]  c1=0.13578584713672012, c2=0.04016801536867112, score=0.745371 -   1.3s
[CV] c1=0.270967513270341, c2=0.05530367479949766 ....................
[CV]  c1=0.270967513270341, c2=0.05530367479949766, score=0.911097 -   1.7s
[CV] c1=0.27335879674545993, c2=0.10815358803232478 ..................
[CV]  c1=0.27335879674545993, c2=0.10815358803232478, score=0.906436 -   1.6s
[CV] c1=0.7666899725508385, c2=0.03125689780225554 ...................
[CV]  c1=0.7666899725508385, c2=0.03125689780225554, score=0.701780 -   1.2s
[CV] c1=0.06266618269951245, c2=0.10761794815347801 ..................
[CV]  c1=0.06266618269951245, c2=0.10761794815347801, score=0.773379 -   1.2s
Training done in: 21.843686s
     Saving training model...
        Saving training model done in: 0.020829s
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Prediction done in: 0.051948s