-------------------------------- 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: Run9
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: FalseS4: True
Run variant: 13
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003741s
-------------------------------- 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     -1:ner    _
7     +1:ner  MED
8     -2:ner    _
9     +2:ner  MED
--------------------------- FeaturesTest -----------------------------
           0           1
0      lemma  delta-arca
1     postag          NN
2   -1:lemma           _
3  -1:postag          NN
4   +1:lemma           _
5  +1:postag          CD
6     -1:ner           _
7     +1:ner           _
8     -2:ner           _
9     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.4942872230133376, c2=0.025530129558030815 ..................
[CV]  c1=0.4942872230133376, c2=0.025530129558030815, score=0.730642 -   1.2s
[CV] c1=1.4863763181580547, c2=0.07359594785293033 ...................
[CV]  c1=1.4863763181580547, c2=0.07359594785293033, score=0.600582 -   1.3s
[CV] c1=0.6163832888630889, c2=0.034257164839801756 ..................
[CV]  c1=0.6163832888630889, c2=0.034257164839801756, score=0.695117 -   1.2s
[CV] c1=0.021127656059728505, c2=0.023979010517918977 ................
[CV]  c1=0.021127656059728505, c2=0.023979010517918977, score=0.844982 -   1.2s
[CV] c1=0.7906551418852119, c2=0.17984891446687765 ...................
[CV]  c1=0.7906551418852119, c2=0.17984891446687765, score=0.642031 -   1.2s
[CV] c1=0.5971798713277401, c2=0.07644743266861664 ...................
[CV]  c1=0.5971798713277401, c2=0.07644743266861664, score=0.692395 -   1.3s
[CV] c1=0.03610542751852528, c2=0.022690880522697795 .................
[CV]  c1=0.03610542751852528, c2=0.022690880522697795, score=0.884577 -   1.3s
[CV] c1=0.9496758908928932, c2=0.019819497872361636 ..................
[CV]  c1=0.9496758908928932, c2=0.019819497872361636, score=0.676374 -   1.0s
[CV] c1=0.29997777352773697, c2=0.04562573307543017 ..................
[CV]  c1=0.29997777352773697, c2=0.04562573307543017, score=0.659591 -   1.0s
[CV] c1=0.1887493641511812, c2=0.1429820667173544 ....................
[CV]  c1=0.1887493641511812, c2=0.1429820667173544, score=0.819073 -   1.2s
[CV] c1=0.022020767005811306, c2=0.04470427367441904 .................
[CV]  c1=0.022020767005811306, c2=0.04470427367441904, score=0.810820 -   1.2s
[CV] c1=0.637960335416438, c2=0.06184979539636194 ....................
[CV]  c1=0.637960335416438, c2=0.06184979539636194, score=0.755187 -   1.3s
[CV] c1=0.88651352960946, c2=0.02631162310640169 .....................
[CV]  c1=0.88651352960946, c2=0.02631162310640169, score=0.671658 -   1.2s
[CV] c1=0.31017950483790896, c2=0.031554113066748025 .................
[CV]  c1=0.31017950483790896, c2=0.031554113066748025, score=0.689932 -   0.9s
[CV] c1=0.9805328455180882, c2=0.04161768472415585 ...................
[CV]  c1=0.9805328455180882, c2=0.04161768472415585, score=0.632361 -   1.2s
[CV] c1=0.20540398637569515, c2=0.030780003086210175 .................
[CV]  c1=0.20540398637569515, c2=0.030780003086210175, score=0.810993 -   1.2s
[CV] c1=0.026014988200986345, c2=0.004129877311081017 ................
[CV]  c1=0.026014988200986345, c2=0.004129877311081017, score=0.733220 -   1.0s
[CV] c1=0.16968485612001902, c2=0.07122586728537389 ..................
[CV]  c1=0.16968485612001902, c2=0.07122586728537389, score=0.797866 -   1.2s
[CV] c1=0.18789008003437266, c2=0.09904446494111963 ..................
[CV]  c1=0.18789008003437266, c2=0.09904446494111963, score=0.759248 -   1.3s
[CV] c1=0.2082699572750503, c2=0.08385083587985503 ...................
[CV]  c1=0.2082699572750503, c2=0.08385083587985503, score=0.770257 -   1.5s
[CV] c1=0.6087943153276969, c2=0.038534151790922455 ..................
[CV]  c1=0.6087943153276969, c2=0.038534151790922455, score=0.774416 -   1.3s
[CV] c1=1.0202938782288915, c2=0.06788339833337413 ...................
[CV]  c1=1.0202938782288915, c2=0.06788339833337413, score=0.612395 -   1.4s
[CV] c1=0.007851077808717402, c2=0.013268215473372905 ................
[CV]  c1=0.007851077808717402, c2=0.013268215473372905, score=0.876987 -   1.3s
[CV] c1=0.4935319648270305, c2=0.10270634253639394 ...................
[CV]  c1=0.4935319648270305, c2=0.10270634253639394, score=0.774985 -   1.2s
[CV] c1=0.542985188111456, c2=0.18738038565350357 ....................
[CV]  c1=0.542985188111456, c2=0.18738038565350357, score=0.741896 -   1.3s
[CV] c1=0.026632097827473302, c2=0.14369639606920212 .................
[CV]  c1=0.026632097827473302, c2=0.14369639606920212, score=0.875677 -   1.2s
[CV] c1=0.6163832888630889, c2=0.034257164839801756 ..................
[CV]  c1=0.6163832888630889, c2=0.034257164839801756, score=0.733744 -   1.0s
[CV] c1=0.040392310498988664, c2=0.0824586834285606 ..................
[CV]  c1=0.040392310498988664, c2=0.0824586834285606, score=0.800823 -   1.2s
[CV] c1=0.3599783036308703, c2=0.01049379188377361 ...................
[CV]  c1=0.3599783036308703, c2=0.01049379188377361, score=0.820221 -   1.3s
[CV] c1=0.05595048795091694, c2=0.0021887677053213563 ................
[CV]  c1=0.05595048795091694, c2=0.0021887677053213563, score=0.781310 -   1.3s
[CV] c1=0.22743303909448526, c2=0.00790810574131805 ..................
[CV]  c1=0.22743303909448526, c2=0.00790810574131805, score=0.847885 -   1.2s
[CV] c1=0.3029547906028538, c2=0.03553876928845132 ...................
[CV]  c1=0.3029547906028538, c2=0.03553876928845132, score=0.756870 -   1.4s
[CV] c1=0.22037929086614141, c2=0.038930151482592996 .................
[CV]  c1=0.22037929086614141, c2=0.038930151482592996, score=0.838851 -   1.2s
[CV] c1=1.3586901914398428, c2=0.002929328903517827 ..................
[CV]  c1=1.3586901914398428, c2=0.002929328903517827, score=0.637190 -   1.0s
[CV] c1=0.12877186755641068, c2=0.04177109333333234 ..................
[CV]  c1=0.12877186755641068, c2=0.04177109333333234, score=0.778183 -   1.3s
[CV] c1=0.1788414166696903, c2=0.02508978559107874 ...................
[CV]  c1=0.1788414166696903, c2=0.02508978559107874, score=0.695027 -   0.9s
[CV] c1=0.542985188111456, c2=0.18738038565350357 ....................
[CV]  c1=0.542985188111456, c2=0.18738038565350357, score=0.683964 -   1.0s
[CV] c1=0.31017950483790896, c2=0.031554113066748025 .................
[CV]  c1=0.31017950483790896, c2=0.031554113066748025, score=0.868249 -   1.2s
[CV] c1=0.22071115810747238, c2=0.011840266452785558 .................
[CV]  c1=0.22071115810747238, c2=0.011840266452785558, score=0.666147 -   1.0s
[CV] c1=0.2965254632772756, c2=0.024248106079381344 ..................
[CV]  c1=0.2965254632772756, c2=0.024248106079381344, score=0.761294 -   1.3s
[CV] c1=0.28184187786567383, c2=0.0689350188127112 ...................
[CV]  c1=0.28184187786567383, c2=0.0689350188127112, score=0.742450 -   1.3s
[CV] c1=0.3243127465016118, c2=0.004158543522914923 ..................
[CV]  c1=0.3243127465016118, c2=0.004158543522914923, score=0.816240 -   1.3s
[CV] c1=0.2466312708159231, c2=0.031905236988749856 ..................
[CV]  c1=0.2466312708159231, c2=0.031905236988749856, score=0.824173 -   1.3s
[CV] c1=1.1330690931769336, c2=0.00849773558259215 ...................
[CV]  c1=1.1330690931769336, c2=0.00849773558259215, score=0.736061 -   1.2s
[CV] c1=0.20515267906447526, c2=0.07752492075385775 ..................
[CV]  c1=0.20515267906447526, c2=0.07752492075385775, score=0.761898 -   1.3s
[CV] c1=0.07741174056688298, c2=0.015261298063176006 .................
[CV]  c1=0.07741174056688298, c2=0.015261298063176006, score=0.877428 -   1.3s
[CV] c1=0.12877186755641068, c2=0.04177109333333234 ..................
[CV]  c1=0.12877186755641068, c2=0.04177109333333234, score=0.700728 -   1.0s
[CV] c1=0.4935319648270305, c2=0.10270634253639394 ...................
[CV]  c1=0.4935319648270305, c2=0.10270634253639394, score=0.844147 -   1.3s
[CV] c1=0.542985188111456, c2=0.18738038565350357 ....................
[CV]  c1=0.542985188111456, c2=0.18738038565350357, score=0.843157 -   1.2s
[CV] c1=2.501602301121882, c2=0.004443528496848566 ...................
[CV]  c1=2.501602301121882, c2=0.004443528496848566, score=0.577425 -   1.0s
[CV] c1=0.42863696097010057, c2=0.06200887724116129 ..................
[CV]  c1=0.42863696097010057, c2=0.06200887724116129, score=0.768665 -   1.3s
[CV] c1=0.25207439497708056, c2=0.159538636483611 ....................
[CV]  c1=0.25207439497708056, c2=0.159538636483611, score=0.721428 -   1.3s
[CV] c1=0.28184187786567383, c2=0.0689350188127112 ...................
[CV]  c1=0.28184187786567383, c2=0.0689350188127112, score=0.800336 -   1.3s
[CV] c1=1.0079941879316674, c2=0.021271621147035555 ..................
[CV]  c1=1.0079941879316674, c2=0.021271621147035555, score=0.735187 -   1.2s
[CV] c1=0.2466312708159231, c2=0.031905236988749856 ..................
[CV]  c1=0.2466312708159231, c2=0.031905236988749856, score=0.892074 -   1.2s
[CV] c1=1.7326300843746492, c2=0.03629589733386977 ...................
[CV]  c1=1.7326300843746492, c2=0.03629589733386977, score=0.600582 -   1.4s
[CV] c1=0.20515267906447526, c2=0.07752492075385775 ..................
[CV]  c1=0.20515267906447526, c2=0.07752492075385775, score=0.830123 -   1.2s
[CV] c1=0.11864509717150432, c2=0.007082425400341801 .................
[CV]  c1=0.11864509717150432, c2=0.007082425400341801, score=0.811087 -   1.3s
[CV] c1=0.12877186755641068, c2=0.04177109333333234 ..................
[CV]  c1=0.12877186755641068, c2=0.04177109333333234, score=0.845119 -   1.2s
[CV] c1=0.25491967199640253, c2=0.033988277330607615 .................
[CV]  c1=0.25491967199640253, c2=0.033988277330607615, score=0.843426 -   1.1s
[CV] c1=0.04888300145292822, c2=0.014069603215571241 .................
[CV]  c1=0.04888300145292822, c2=0.014069603215571241, score=0.812754 -   1.2s
[CV] c1=0.11988490938335765, c2=0.07560797731909062 ..................
[CV]  c1=0.11988490938335765, c2=0.07560797731909062, score=0.814018 -   1.3s
[CV] c1=0.22071115810747238, c2=0.011840266452785558 .................
[CV]  c1=0.22071115810747238, c2=0.011840266452785558, score=0.883792 -   1.3s
[CV] c1=0.08961073810648586, c2=0.04305851056701772 ..................
[CV]  c1=0.08961073810648586, c2=0.04305851056701772, score=0.810052 -   1.1s
[CV] c1=0.2726185976486705, c2=0.040080747556467386 ..................
[CV]  c1=0.2726185976486705, c2=0.040080747556467386, score=0.698459 -   1.1s
[CV] c1=0.3243127465016118, c2=0.004158543522914923 ..................
[CV]  c1=0.3243127465016118, c2=0.004158543522914923, score=0.657028 -   1.1s
[CV] c1=0.11309364571707849, c2=0.037043707886760834 .................
[CV]  c1=0.11309364571707849, c2=0.037043707886760834, score=0.794240 -   1.3s
[CV] c1=0.7945848853124962, c2=0.005705135756236437 ..................
[CV]  c1=0.7945848853124962, c2=0.005705135756236437, score=0.848531 -   1.4s
[CV] c1=0.008597779013790344, c2=0.1647446335896852 ..................
[CV]  c1=0.008597779013790344, c2=0.1647446335896852, score=0.743651 -   1.4s
[CV] c1=0.11864509717150432, c2=0.007082425400341801 .................
[CV]  c1=0.11864509717150432, c2=0.007082425400341801, score=0.854901 -   1.2s
[CV] c1=0.007851077808717402, c2=0.013268215473372905 ................
[CV]  c1=0.007851077808717402, c2=0.013268215473372905, score=0.772038 -   1.3s
[CV] c1=0.25491967199640253, c2=0.033988277330607615 .................
[CV]  c1=0.25491967199640253, c2=0.033988277330607615, score=0.698459 -   1.1s
[CV] c1=0.2744421297260719, c2=0.06342829965150053 ...................
[CV]  c1=0.2744421297260719, c2=0.06342829965150053, score=0.837296 -   1.3s
[CV] c1=0.15563267293995411, c2=0.0801258944518196 ...................
[CV]  c1=0.15563267293995411, c2=0.0801258944518196, score=0.830123 -   1.1s
[CV] c1=1.529202395218871, c2=0.043066337655836534 ...................
[CV]  c1=1.529202395218871, c2=0.043066337655836534, score=0.612842 -   1.0s
[CV] c1=0.19459749664415613, c2=0.012961314629300542 .................
[CV]  c1=0.19459749664415613, c2=0.012961314629300542, score=0.874730 -   1.2s
[CV] c1=0.07932836302398776, c2=0.015518810981129966 .................
[CV]  c1=0.07932836302398776, c2=0.015518810981129966, score=0.808473 -   1.2s
[CV] c1=0.05595048795091694, c2=0.0021887677053213563 ................
[CV]  c1=0.05595048795091694, c2=0.0021887677053213563, score=0.799956 -   1.2s
[CV] c1=0.2772152640992946, c2=0.07775008400759818 ...................
[CV]  c1=0.2772152640992946, c2=0.07775008400759818, score=0.772713 -   1.3s
[CV] c1=0.3029547906028538, c2=0.03553876928845132 ...................
[CV]  c1=0.3029547906028538, c2=0.03553876928845132, score=0.700758 -   1.1s
[CV] c1=0.29997777352773697, c2=0.04562573307543017 ..................
[CV]  c1=0.29997777352773697, c2=0.04562573307543017, score=0.873047 -   1.2s
[CV] c1=0.07741174056688298, c2=0.015261298063176006 .................
[CV]  c1=0.07741174056688298, c2=0.015261298063176006, score=0.714053 -   1.0s
[CV] c1=0.022020767005811306, c2=0.04470427367441904 .................
[CV]  c1=0.022020767005811306, c2=0.04470427367441904, score=0.778183 -   1.3s
[CV] c1=0.4935319648270305, c2=0.10270634253639394 ...................
[CV]  c1=0.4935319648270305, c2=0.10270634253639394, score=0.696350 -   1.3s
[CV] c1=0.4942872230133376, c2=0.025530129558030815 ..................
[CV]  c1=0.4942872230133376, c2=0.025530129558030815, score=0.777395 -   1.3s
[CV] c1=0.026632097827473302, c2=0.14369639606920212 .................
[CV]  c1=0.026632097827473302, c2=0.14369639606920212, score=0.838681 -   1.2s
[CV] c1=0.6163832888630889, c2=0.034257164839801756 ..................
[CV]  c1=0.6163832888630889, c2=0.034257164839801756, score=0.783005 -   1.2s
[CV] c1=0.021127656059728505, c2=0.023979010517918977 ................
[CV]  c1=0.021127656059728505, c2=0.023979010517918977, score=0.816390 -   1.3s
[CV] c1=1.5340402585336552, c2=0.020514598548565126 ..................
[CV]  c1=1.5340402585336552, c2=0.020514598548565126, score=0.701196 -   1.2s
[CV] c1=0.07220391708599885, c2=0.0003714831694247831 ................
[CV]  c1=0.07220391708599885, c2=0.0003714831694247831, score=0.787819 -   1.2s
[CV] c1=0.03610542751852528, c2=0.022690880522697795 .................
[CV]  c1=0.03610542751852528, c2=0.022690880522697795, score=0.816782 -   1.3s
[CV] c1=0.11573774420156206, c2=0.07285357644947381 ..................
[CV]  c1=0.11573774420156206, c2=0.07285357644947381, score=0.885260 -   1.1s
[CV] c1=0.22037929086614141, c2=0.038930151482592996 .................
[CV]  c1=0.22037929086614141, c2=0.038930151482592996, score=0.772344 -   1.2s
[CV] c1=1.3586901914398428, c2=0.002929328903517827 ..................
[CV]  c1=1.3586901914398428, c2=0.002929328903517827, score=0.825900 -   1.3s
[CV] c1=0.555770359121197, c2=0.08854417828847198 ....................
[CV]  c1=0.555770359121197, c2=0.08854417828847198, score=0.694293 -   1.3s
[CV] c1=0.5929498741246898, c2=0.04389602008474198 ...................
[CV]  c1=0.5929498741246898, c2=0.04389602008474198, score=0.731889 -   0.9s
[CV] c1=0.4164023077151808, c2=0.0035318941456480486 .................
[CV]  c1=0.4164023077151808, c2=0.0035318941456480486, score=0.805982 -   1.3s
[CV] c1=0.15563267293995411, c2=0.0801258944518196 ...................
[CV]  c1=0.15563267293995411, c2=0.0801258944518196, score=0.699633 -   1.0s
[CV] c1=0.11910538239301986, c2=0.02125796643744688 ..................
[CV]  c1=0.11910538239301986, c2=0.02125796643744688, score=0.660917 -   1.0s
[CV] c1=0.08961073810648586, c2=0.04305851056701772 ..................
[CV]  c1=0.08961073810648586, c2=0.04305851056701772, score=0.885206 -   1.2s
[CV] c1=0.2726185976486705, c2=0.040080747556467386 ..................
[CV]  c1=0.2726185976486705, c2=0.040080747556467386, score=0.775408 -   1.2s
[CV] c1=1.0079941879316674, c2=0.021271621147035555 ..................
[CV]  c1=1.0079941879316674, c2=0.021271621147035555, score=0.668803 -   1.0s
[CV] c1=0.11309364571707849, c2=0.037043707886760834 .................
[CV]  c1=0.11309364571707849, c2=0.037043707886760834, score=0.844198 -   1.2s
[CV] c1=0.3415429471960127, c2=0.029586598848324593 ..................
[CV]  c1=0.3415429471960127, c2=0.029586598848324593, score=0.788594 -   1.3s
[CV] c1=0.6087943153276969, c2=0.038534151790922455 ..................
[CV]  c1=0.6087943153276969, c2=0.038534151790922455, score=0.698064 -   1.2s
[CV] c1=0.21721562156276153, c2=0.06552258904067629 ..................
[CV]  c1=0.21721562156276153, c2=0.06552258904067629, score=0.769883 -   1.2s
[CV] c1=0.46870106005808315, c2=0.017860452748534508 .................
[CV]  c1=0.46870106005808315, c2=0.017860452748534508, score=0.821337 -   1.1s
[CV] c1=0.04014521214359445, c2=0.016841262282314598 .................
[CV]  c1=0.04014521214359445, c2=0.016841262282314598, score=0.687002 -   0.8s
[CV] c1=0.1788414166696903, c2=0.02508978559107874 ...................
[CV]  c1=0.1788414166696903, c2=0.02508978559107874, score=0.887691 -   1.1s
[CV] c1=0.4942872230133376, c2=0.025530129558030815 ..................
[CV]  c1=0.4942872230133376, c2=0.025530129558030815, score=0.855939 -   1.3s
[CV] c1=1.4863763181580547, c2=0.07359594785293033 ...................
[CV]  c1=1.4863763181580547, c2=0.07359594785293033, score=0.556535 -   1.2s
[CV] c1=0.6163832888630889, c2=0.034257164839801756 ..................
[CV]  c1=0.6163832888630889, c2=0.034257164839801756, score=0.837586 -   1.3s
[CV] c1=0.27335711533738205, c2=0.047073142280890296 .................
[CV]  c1=0.27335711533738205, c2=0.047073142280890296, score=0.663128 -   1.0s
[CV] c1=0.07932836302398776, c2=0.015518810981129966 .................
[CV]  c1=0.07932836302398776, c2=0.015518810981129966, score=0.849731 -   1.2s
[CV] c1=0.05595048795091694, c2=0.0021887677053213563 ................
[CV]  c1=0.05595048795091694, c2=0.0021887677053213563, score=0.809387 -   1.3s
[CV] c1=0.22743303909448526, c2=0.00790810574131805 ..................
[CV]  c1=0.22743303909448526, c2=0.00790810574131805, score=0.878587 -   1.3s
[CV] c1=0.3029547906028538, c2=0.03553876928845132 ...................
[CV]  c1=0.3029547906028538, c2=0.03553876928845132, score=0.842504 -   1.2s
[CV] c1=0.6837907755332807, c2=0.05573743619541549 ...................
[CV]  c1=0.6837907755332807, c2=0.05573743619541549, score=0.674917 -   1.3s
[CV] c1=0.9469705656533821, c2=0.017461917847978247 ..................
[CV]  c1=0.9469705656533821, c2=0.017461917847978247, score=0.637155 -   1.2s
[CV] c1=0.555770359121197, c2=0.08854417828847198 ....................
[CV]  c1=0.555770359121197, c2=0.08854417828847198, score=0.681702 -   1.1s
[CV] c1=0.25491967199640253, c2=0.033988277330607615 .................
[CV]  c1=0.25491967199640253, c2=0.033988277330607615, score=0.774757 -   1.3s
[CV] c1=0.2744421297260719, c2=0.06342829965150053 ...................
[CV]  c1=0.2744421297260719, c2=0.06342829965150053, score=0.700758 -   1.0s
[CV] c1=1.4863763181580547, c2=0.07359594785293033 ...................
[CV]  c1=1.4863763181580547, c2=0.07359594785293033, score=0.608252 -   1.0s
[CV] c1=0.22071115810747238, c2=0.011840266452785558 .................
[CV]  c1=0.22071115810747238, c2=0.011840266452785558, score=0.804943 -   1.2s
[CV] c1=0.08961073810648586, c2=0.04305851056701772 ..................
[CV]  c1=0.08961073810648586, c2=0.04305851056701772, score=0.678512 -   0.9s
[CV] c1=0.026014988200986345, c2=0.004129877311081017 ................
[CV]  c1=0.026014988200986345, c2=0.004129877311081017, score=0.777791 -   1.3s
[CV] c1=0.3357455545258417, c2=0.06504868638436 ......................
[CV]  c1=0.3357455545258417, c2=0.06504868638436, score=0.772281 -   1.2s
[CV] c1=1.0802756531567204, c2=0.052925302180279236 ..................
[CV]  c1=1.0802756531567204, c2=0.052925302180279236, score=0.638504 -   1.2s
[CV] c1=0.7945848853124962, c2=0.005705135756236437 ..................
[CV]  c1=0.7945848853124962, c2=0.005705135756236437, score=0.733744 -   0.9s
[CV] c1=0.11573774420156206, c2=0.07285357644947381 ..................
[CV]  c1=0.11573774420156206, c2=0.07285357644947381, score=0.778183 -   1.3s
[CV] c1=0.21721562156276153, c2=0.06552258904067629 ..................
[CV]  c1=0.21721562156276153, c2=0.06552258904067629, score=0.659591 -   1.0s
[CV] c1=0.15556125349668462, c2=0.031993613074938455 .................
[CV]  c1=0.15556125349668462, c2=0.031993613074938455, score=0.883792 -   1.2s
[CV] c1=0.508092437951556, c2=0.025515505884834856 ...................
[CV]  c1=0.508092437951556, c2=0.025515505884834856, score=0.858232 -   1.2s
[CV] c1=0.5929498741246898, c2=0.04389602008474198 ...................
[CV]  c1=0.5929498741246898, c2=0.04389602008474198, score=0.837586 -   1.0s
[CV] c1=0.04888300145292822, c2=0.014069603215571241 .................
[CV]  c1=0.04888300145292822, c2=0.014069603215571241, score=0.778183 -   1.0s
[CV] c1=1.4169984359174748, c2=0.061667681201916125 ..................
[CV]  c1=1.4169984359174748, c2=0.061667681201916125, score=0.632247 -   1.2s
[CV] c1=0.42863696097010057, c2=0.06200887724116129 ..................
[CV]  c1=0.42863696097010057, c2=0.06200887724116129, score=0.732627 -   1.1s
[CV] c1=0.20540398637569515, c2=0.030780003086210175 .................
[CV]  c1=0.20540398637569515, c2=0.030780003086210175, score=0.793683 -   1.2s
[CV] c1=1.041788430145369, c2=0.009771339527955683 ...................
[CV]  c1=1.041788430145369, c2=0.009771339527955683, score=0.737907 -   1.2s
[CV] c1=0.16968485612001902, c2=0.07122586728537389 ..................
[CV]  c1=0.16968485612001902, c2=0.07122586728537389, score=0.793683 -   1.3s
[CV] c1=0.18789008003437266, c2=0.09904446494111963 ..................
[CV]  c1=0.18789008003437266, c2=0.09904446494111963, score=0.832722 -   1.2s
[CV] c1=0.2082699572750503, c2=0.08385083587985503 ...................
[CV]  c1=0.2082699572750503, c2=0.08385083587985503, score=0.834800 -   1.2s
[CV] c1=0.6087943153276969, c2=0.038534151790922455 ..................
[CV]  c1=0.6087943153276969, c2=0.038534151790922455, score=0.835011 -   1.2s
[CV] c1=0.21721562156276153, c2=0.06552258904067629 ..................
[CV]  c1=0.21721562156276153, c2=0.06552258904067629, score=0.877063 -   1.3s
[CV] c1=0.46870106005808315, c2=0.017860452748534508 .................
[CV]  c1=0.46870106005808315, c2=0.017860452748534508, score=0.745261 -   1.1s
[CV] c1=0.508092437951556, c2=0.025515505884834856 ...................
[CV]  c1=0.508092437951556, c2=0.025515505884834856, score=0.744511 -   1.1s
[CV] c1=0.1788414166696903, c2=0.02508978559107874 ...................
[CV]  c1=0.1788414166696903, c2=0.02508978559107874, score=0.772038 -   1.2s
[CV] c1=0.1823477197660065, c2=0.001452190729120417 ..................
[CV]  c1=0.1823477197660065, c2=0.001452190729120417, score=0.783595 -   1.2s
[CV] c1=0.31017950483790896, c2=0.031554113066748025 .................
[CV]  c1=0.31017950483790896, c2=0.031554113066748025, score=0.781937 -   1.2s
[CV] c1=0.43827121061901825, c2=0.06255579339642602 ..................
[CV]  c1=0.43827121061901825, c2=0.06255579339642602, score=0.845201 -   1.3s
[CV] c1=0.19459749664415613, c2=0.012961314629300542 .................
[CV]  c1=0.19459749664415613, c2=0.012961314629300542, score=0.698241 -   1.0s
[CV] c1=0.2726185976486705, c2=0.040080747556467386 ..................
[CV]  c1=0.2726185976486705, c2=0.040080747556467386, score=0.777317 -   1.3s
[CV] c1=0.2126398452424949, c2=0.07552933363501625 ...................
[CV]  c1=0.2126398452424949, c2=0.07552933363501625, score=0.832722 -   1.2s
[CV] c1=0.5496768365902395, c2=0.046958016579367594 ..................
[CV]  c1=0.5496768365902395, c2=0.046958016579367594, score=0.761331 -   1.4s
[CV] c1=0.31203280819719115, c2=0.04997516664600837 ..................
[CV]  c1=0.31203280819719115, c2=0.04997516664600837, score=0.810221 -   1.3s
[CV] c1=0.6837907755332807, c2=0.05573743619541549 ...................
[CV]  c1=0.6837907755332807, c2=0.05573743619541549, score=0.763155 -   1.2s
[CV] c1=0.9469705656533821, c2=0.017461917847978247 ..................
[CV]  c1=0.9469705656533821, c2=0.017461917847978247, score=0.686615 -   1.0s
[CV] c1=0.12877186755641068, c2=0.04177109333333234 ..................
[CV]  c1=0.12877186755641068, c2=0.04177109333333234, score=0.887536 -   1.3s
[CV] c1=0.25491967199640253, c2=0.033988277330607615 .................
[CV]  c1=0.25491967199640253, c2=0.033988277330607615, score=0.879519 -   1.3s
[CV] c1=0.88651352960946, c2=0.02631162310640169 .....................
[CV]  c1=0.88651352960946, c2=0.02631162310640169, score=0.690896 -   0.9s
[CV] c1=1.4169984359174748, c2=0.061667681201916125 ..................
[CV]  c1=1.4169984359174748, c2=0.061667681201916125, score=0.558223 -   1.4s
[CV] c1=0.2867180655374279, c2=0.0538260011055298 ....................
[CV]  c1=0.2867180655374279, c2=0.0538260011055298, score=0.877063 -   1.3s
[CV] c1=0.25207439497708056, c2=0.159538636483611 ....................
[CV]  c1=0.25207439497708056, c2=0.159538636483611, score=0.807679 -   1.1s
[CV] c1=0.28184187786567383, c2=0.0689350188127112 ...................
[CV]  c1=0.28184187786567383, c2=0.0689350188127112, score=0.700758 -   1.0s
[CV] c1=0.3357455545258417, c2=0.06504868638436 ......................
[CV]  c1=0.3357455545258417, c2=0.06504868638436, score=0.698459 -   1.0s
[CV] c1=0.18789008003437266, c2=0.09904446494111963 ..................
[CV]  c1=0.18789008003437266, c2=0.09904446494111963, score=0.877146 -   1.2s
[CV] c1=0.2082699572750503, c2=0.08385083587985503 ...................
[CV]  c1=0.2082699572750503, c2=0.08385083587985503, score=0.698459 -   1.0s
[CV] c1=0.9496758908928932, c2=0.019819497872361636 ..................
[CV]  c1=0.9496758908928932, c2=0.019819497872361636, score=0.675846 -   1.3s
[CV] c1=0.014612404383090088, c2=0.15500600615508825 .................
[CV]  c1=0.014612404383090088, c2=0.15500600615508825, score=0.692519 -   1.0s
[CV] c1=0.9469705656533821, c2=0.017461917847978247 ..................
[CV]  c1=0.9469705656533821, c2=0.017461917847978247, score=0.649847 -   1.3s
[CV] c1=0.555770359121197, c2=0.08854417828847198 ....................
[CV]  c1=0.555770359121197, c2=0.08854417828847198, score=0.848689 -   1.3s
[CV] c1=0.4962965623271355, c2=0.11635588415242225 ...................
[CV]  c1=0.4962965623271355, c2=0.11635588415242225, score=0.731889 -   1.0s
[CV] c1=0.2744421297260719, c2=0.06342829965150053 ...................
[CV]  c1=0.2744421297260719, c2=0.06342829965150053, score=0.755769 -   1.3s
[CV] c1=0.15563267293995411, c2=0.0801258944518196 ...................
[CV]  c1=0.15563267293995411, c2=0.0801258944518196, score=0.782633 -   1.2s
[CV] c1=1.529202395218871, c2=0.043066337655836534 ...................
[CV]  c1=1.529202395218871, c2=0.043066337655836534, score=0.701196 -   1.2s
[CV] c1=0.27335711533738205, c2=0.047073142280890296 .................
[CV]  c1=0.27335711533738205, c2=0.047073142280890296, score=0.771941 -   1.4s
[CV] c1=0.16968485612001902, c2=0.07122586728537389 ..................
[CV]  c1=0.16968485612001902, c2=0.07122586728537389, score=0.660251 -   0.9s
[CV] c1=0.5971798713277401, c2=0.07644743266861664 ...................
[CV]  c1=0.5971798713277401, c2=0.07644743266861664, score=0.767220 -   1.1s
[CV] c1=0.2772152640992946, c2=0.07775008400759818 ...................
[CV]  c1=0.2772152640992946, c2=0.07775008400759818, score=0.748295 -   1.3s
[CV] c1=0.31203280819719115, c2=0.04997516664600837 ..................
[CV]  c1=0.31203280819719115, c2=0.04997516664600837, score=0.840510 -   1.2s
[CV] c1=0.29997777352773697, c2=0.04562573307543017 ..................
[CV]  c1=0.29997777352773697, c2=0.04562573307543017, score=0.793201 -   1.3s
[CV] c1=0.9469705656533821, c2=0.017461917847978247 ..................
[CV]  c1=0.9469705656533821, c2=0.017461917847978247, score=0.737907 -   1.2s
[CV] c1=0.4704651214935113, c2=0.03169512874162327 ...................
[CV]  c1=0.4704651214935113, c2=0.03169512874162327, score=0.731392 -   1.3s
[CV] c1=0.4962965623271355, c2=0.11635588415242225 ...................
[CV]  c1=0.4962965623271355, c2=0.11635588415242225, score=0.845065 -   1.2s
[CV] c1=0.04888300145292822, c2=0.014069603215571241 .................
[CV]  c1=0.04888300145292822, c2=0.014069603215571241, score=0.839828 -   1.1s
[CV] c1=0.11988490938335765, c2=0.07560797731909062 ..................
[CV]  c1=0.11988490938335765, c2=0.07560797731909062, score=0.891689 -   1.3s
[CV] c1=0.42863696097010057, c2=0.06200887724116129 ..................
[CV]  c1=0.42863696097010057, c2=0.06200887724116129, score=0.719552 -   1.2s
[CV] c1=0.2965254632772756, c2=0.024248106079381344 ..................
[CV]  c1=0.2965254632772756, c2=0.024248106079381344, score=0.837930 -   1.2s
[CV] c1=0.026014988200986345, c2=0.004129877311081017 ................
[CV]  c1=0.026014988200986345, c2=0.004129877311081017, score=0.822092 -   1.3s
[CV] c1=0.3243127465016118, c2=0.004158543522914923 ..................
[CV]  c1=0.3243127465016118, c2=0.004158543522914923, score=0.876697 -   1.2s
[CV] c1=1.0802756531567204, c2=0.052925302180279236 ..................
[CV]  c1=1.0802756531567204, c2=0.052925302180279236, score=0.616457 -   1.0s
[CV] c1=0.3415429471960127, c2=0.029586598848324593 ..................
[CV]  c1=0.3415429471960127, c2=0.029586598848324593, score=0.739016 -   1.0s
[CV] c1=0.11573774420156206, c2=0.07285357644947381 ..................
[CV]  c1=0.11573774420156206, c2=0.07285357644947381, score=0.793683 -   1.2s
[CV] c1=0.014612404383090088, c2=0.15500600615508825 .................
[CV]  c1=0.014612404383090088, c2=0.15500600615508825, score=0.838681 -   1.2s
[CV] c1=1.3586901914398428, c2=0.002929328903517827 ..................
[CV]  c1=1.3586901914398428, c2=0.002929328903517827, score=0.708675 -   1.2s
[CV] c1=0.555770359121197, c2=0.08854417828847198 ....................
[CV]  c1=0.555770359121197, c2=0.08854417828847198, score=0.767220 -   1.2s
[CV] c1=0.4962965623271355, c2=0.11635588415242225 ...................
[CV]  c1=0.4962965623271355, c2=0.11635588415242225, score=0.674863 -   1.2s
[CV] c1=0.34815737936251107, c2=0.11715513080946308 ..................
[CV]  c1=0.34815737936251107, c2=0.11715513080946308, score=0.692787 -   0.9s
[CV] c1=1.4169984359174748, c2=0.061667681201916125 ..................
[CV]  c1=1.4169984359174748, c2=0.061667681201916125, score=0.608252 -   1.1s
[CV] c1=0.9805328455180882, c2=0.04161768472415585 ...................
[CV]  c1=0.9805328455180882, c2=0.04161768472415585, score=0.847220 -   1.3s
[CV] c1=0.20540398637569515, c2=0.030780003086210175 .................
[CV]  c1=0.20540398637569515, c2=0.030780003086210175, score=0.695888 -   1.0s
[CV] c1=0.27335711533738205, c2=0.047073142280890296 .................
[CV]  c1=0.27335711533738205, c2=0.047073142280890296, score=0.837296 -   1.3s
[CV] c1=1.5340402585336552, c2=0.020514598548565126 ..................
[CV]  c1=1.5340402585336552, c2=0.020514598548565126, score=0.566521 -   1.4s
[CV] c1=0.18789008003437266, c2=0.09904446494111963 ..................
[CV]  c1=0.18789008003437266, c2=0.09904446494111963, score=0.663128 -   1.0s
[CV] c1=0.03610542751852528, c2=0.022690880522697795 .................
[CV]  c1=0.03610542751852528, c2=0.022690880522697795, score=0.845119 -   1.2s
[CV] c1=0.9496758908928932, c2=0.019819497872361636 ..................
[CV]  c1=0.9496758908928932, c2=0.019819497872361636, score=0.777971 -   1.2s
[CV] c1=0.22037929086614141, c2=0.038930151482592996 .................
[CV]  c1=0.22037929086614141, c2=0.038930151482592996, score=0.666801 -   1.0s
[CV] c1=0.07741174056688298, c2=0.015261298063176006 .................
[CV]  c1=0.07741174056688298, c2=0.015261298063176006, score=0.799487 -   1.2s
[CV] c1=0.12877186755641068, c2=0.04177109333333234 ..................
[CV]  c1=0.12877186755641068, c2=0.04177109333333234, score=0.800219 -   1.4s
[CV] c1=0.1788414166696903, c2=0.02508978559107874 ...................
[CV]  c1=0.1788414166696903, c2=0.02508978559107874, score=0.789141 -   1.3s
[CV] c1=0.542985188111456, c2=0.18738038565350357 ....................
[CV]  c1=0.542985188111456, c2=0.18738038565350357, score=0.661628 -   1.2s
[CV] c1=1.4863763181580547, c2=0.07359594785293033 ...................
[CV]  c1=1.4863763181580547, c2=0.07359594785293033, score=0.793387 -   1.2s
[CV] c1=0.11910538239301986, c2=0.02125796643744688 ..................
[CV]  c1=0.11910538239301986, c2=0.02125796643744688, score=0.845119 -   1.2s
[CV] c1=0.19459749664415613, c2=0.012961314629300542 .................
[CV]  c1=0.19459749664415613, c2=0.012961314629300542, score=0.784222 -   1.2s
[CV] c1=0.07932836302398776, c2=0.015518810981129966 .................
[CV]  c1=0.07932836302398776, c2=0.015518810981129966, score=0.778183 -   1.3s
[CV] c1=0.5971798713277401, c2=0.07644743266861664 ...................
[CV]  c1=0.5971798713277401, c2=0.07644743266861664, score=0.780561 -   1.3s
[CV] c1=0.03610542751852528, c2=0.022690880522697795 .................
[CV]  c1=0.03610542751852528, c2=0.022690880522697795, score=0.676183 -   1.0s
[CV] c1=0.31203280819719115, c2=0.04997516664600837 ..................
[CV]  c1=0.31203280819719115, c2=0.04997516664600837, score=0.756564 -   1.3s
[CV] c1=0.6837907755332807, c2=0.05573743619541549 ...................
[CV]  c1=0.6837907755332807, c2=0.05573743619541549, score=0.851264 -   1.2s
[CV] c1=0.9469705656533821, c2=0.017461917847978247 ..................
[CV]  c1=0.9469705656533821, c2=0.017461917847978247, score=0.851839 -   1.2s
[CV] c1=0.4704651214935113, c2=0.03169512874162327 ...................
[CV]  c1=0.4704651214935113, c2=0.03169512874162327, score=0.856609 -   1.4s
[CV] c1=0.4962965623271355, c2=0.11635588415242225 ...................
[CV]  c1=0.4962965623271355, c2=0.11635588415242225, score=0.761098 -   1.1s
[CV] c1=0.1823477197660065, c2=0.001452190729120417 ..................
[CV]  c1=0.1823477197660065, c2=0.001452190729120417, score=0.868697 -   1.1s
[CV] c1=0.2203736649245124, c2=0.02328727777683607 ...................
[CV]  c1=0.2203736649245124, c2=0.02328727777683607, score=0.774757 -   1.2s
[CV] c1=0.2867180655374279, c2=0.0538260011055298 ....................
[CV]  c1=0.2867180655374279, c2=0.0538260011055298, score=0.837296 -   1.2s
[CV] c1=0.25207439497708056, c2=0.159538636483611 ....................
[CV]  c1=0.25207439497708056, c2=0.159538636483611, score=0.779406 -   1.3s
[CV] c1=0.2726185976486705, c2=0.040080747556467386 ..................
[CV]  c1=0.2726185976486705, c2=0.040080747556467386, score=0.837930 -   1.2s
[CV] c1=0.2126398452424949, c2=0.07552933363501625 ...................
[CV]  c1=0.2126398452424949, c2=0.07552933363501625, score=0.879394 -   1.3s
[CV] c1=0.5496768365902395, c2=0.046958016579367594 ..................
[CV]  c1=0.5496768365902395, c2=0.046958016579367594, score=0.740843 -   1.0s
[CV] c1=1.7326300843746492, c2=0.03629589733386977 ...................
[CV]  c1=1.7326300843746492, c2=0.03629589733386977, score=0.791872 -   1.2s
[CV] c1=0.008597779013790344, c2=0.1647446335896852 ..................
[CV]  c1=0.008597779013790344, c2=0.1647446335896852, score=0.872091 -   1.3s
[CV] c1=0.1887493641511812, c2=0.1429820667173544 ....................
[CV]  c1=0.1887493641511812, c2=0.1429820667173544, score=0.790531 -   1.3s
[CV] c1=0.007851077808717402, c2=0.013268215473372905 ................
[CV]  c1=0.007851077808717402, c2=0.013268215473372905, score=0.824325 -   1.3s
[CV] c1=0.4935319648270305, c2=0.10270634253639394 ...................
[CV]  c1=0.4935319648270305, c2=0.10270634253639394, score=0.765728 -   1.3s
[CV] c1=0.88651352960946, c2=0.02631162310640169 .....................
[CV]  c1=0.88651352960946, c2=0.02631162310640169, score=0.849795 -   1.2s
[CV] c1=0.2203736649245124, c2=0.02328727777683607 ...................
[CV]  c1=0.2203736649245124, c2=0.02328727777683607, score=0.790736 -   1.3s
[CV] c1=0.22071115810747238, c2=0.011840266452785558 .................
[CV]  c1=0.22071115810747238, c2=0.011840266452785558, score=0.849731 -   1.3s
[CV] c1=0.08961073810648586, c2=0.04305851056701772 ..................
[CV]  c1=0.08961073810648586, c2=0.04305851056701772, score=0.775419 -   1.3s
[CV] c1=0.07932836302398776, c2=0.015518810981129966 .................
[CV]  c1=0.07932836302398776, c2=0.015518810981129966, score=0.716154 -   1.0s
[CV] c1=1.0079941879316674, c2=0.021271621147035555 ..................
[CV]  c1=1.0079941879316674, c2=0.021271621147035555, score=0.651473 -   1.4s
[CV] c1=0.5496768365902395, c2=0.046958016579367594 ..................
[CV]  c1=0.5496768365902395, c2=0.046958016579367594, score=0.718825 -   1.3s
[CV] c1=1.1330690931769336, c2=0.00849773558259215 ...................
[CV]  c1=1.1330690931769336, c2=0.00849773558259215, score=0.628583 -   1.3s
[CV] c1=0.29997777352773697, c2=0.04562573307543017 ..................
[CV]  c1=0.29997777352773697, c2=0.04562573307543017, score=0.841049 -   1.2s
[CV] c1=0.07741174056688298, c2=0.015261298063176006 .................
[CV]  c1=0.07741174056688298, c2=0.015261298063176006, score=0.778183 -   1.3s
[CV] c1=0.4704651214935113, c2=0.03169512874162327 ...................
[CV]  c1=0.4704651214935113, c2=0.03169512874162327, score=0.841049 -   1.2s
[CV] c1=0.1788414166696903, c2=0.02508978559107874 ...................
[CV]  c1=0.1788414166696903, c2=0.02508978559107874, score=0.845119 -   1.2s
[CV] c1=0.04888300145292822, c2=0.014069603215571241 .................
[CV]  c1=0.04888300145292822, c2=0.014069603215571241, score=0.888711 -   1.2s
[CV] c1=0.11988490938335765, c2=0.07560797731909062 ..................
[CV]  c1=0.11988490938335765, c2=0.07560797731909062, score=0.664466 -   1.0s
[CV] c1=0.9805328455180882, c2=0.04161768472415585 ...................
[CV]  c1=0.9805328455180882, c2=0.04161768472415585, score=0.658210 -   1.5s
[CV] c1=0.25207439497708056, c2=0.159538636483611 ....................
[CV]  c1=0.25207439497708056, c2=0.159538636483611, score=0.860385 -   1.3s
[CV] c1=0.28184187786567383, c2=0.0689350188127112 ...................
[CV]  c1=0.28184187786567383, c2=0.0689350188127112, score=0.837296 -   1.3s
[CV] c1=1.0079941879316674, c2=0.021271621147035555 ..................
[CV]  c1=1.0079941879316674, c2=0.021271621147035555, score=0.848959 -   1.3s
[CV] c1=0.2466312708159231, c2=0.031905236988749856 ..................
[CV]  c1=0.2466312708159231, c2=0.031905236988749856, score=0.789141 -   1.3s
[CV] c1=1.1330690931769336, c2=0.00849773558259215 ...................
[CV]  c1=1.1330690931769336, c2=0.00849773558259215, score=0.649895 -   1.3s
[CV] c1=0.20515267906447526, c2=0.07752492075385775 ..................
[CV]  c1=0.20515267906447526, c2=0.07752492075385775, score=0.770257 -   1.3s
[CV] c1=0.07741174056688298, c2=0.015261298063176006 .................
[CV]  c1=0.07741174056688298, c2=0.015261298063176006, score=0.845119 -   1.3s
[CV] c1=0.4704651214935113, c2=0.03169512874162327 ...................
[CV]  c1=0.4704651214935113, c2=0.03169512874162327, score=0.706924 -   1.1s
[CV] c1=0.25491967199640253, c2=0.033988277330607615 .................
[CV]  c1=0.25491967199640253, c2=0.033988277330607615, score=0.792661 -   1.3s
[CV] c1=0.2744421297260719, c2=0.06342829965150053 ...................
[CV]  c1=0.2744421297260719, c2=0.06342829965150053, score=0.879394 -   1.2s
[CV] c1=0.15563267293995411, c2=0.0801258944518196 ...................
[CV]  c1=0.15563267293995411, c2=0.0801258944518196, score=0.883492 -   1.2s
[CV] c1=1.529202395218871, c2=0.043066337655836534 ...................
[CV]  c1=1.529202395218871, c2=0.043066337655836534, score=0.788744 -   1.2s
[CV] c1=0.27335711533738205, c2=0.047073142280890296 .................
[CV]  c1=0.27335711533738205, c2=0.047073142280890296, score=0.879476 -   1.2s
[CV] c1=1.5340402585336552, c2=0.020514598548565126 ..................
[CV]  c1=1.5340402585336552, c2=0.020514598548565126, score=0.569706 -   1.0s
[CV] c1=0.5971798713277401, c2=0.07644743266861664 ...................
[CV]  c1=0.5971798713277401, c2=0.07644743266861664, score=0.853308 -   1.3s
[CV] c1=0.22743303909448526, c2=0.00790810574131805 ..................
[CV]  c1=0.22743303909448526, c2=0.00790810574131805, score=0.667703 -   1.0s
[CV] c1=1.1330690931769336, c2=0.00849773558259215 ...................
[CV]  c1=1.1330690931769336, c2=0.00849773558259215, score=0.618946 -   1.0s
[CV] c1=0.04108139617306734, c2=0.08977662168776374 ..................
[CV]  c1=0.04108139617306734, c2=0.08977662168776374, score=0.831498 -   1.3s
[CV] c1=0.1887493641511812, c2=0.1429820667173544 ....................
[CV]  c1=0.1887493641511812, c2=0.1429820667173544, score=0.699785 -   1.0s
[CV] c1=0.46870106005808315, c2=0.017860452748534508 .................
[CV]  c1=0.46870106005808315, c2=0.017860452748534508, score=0.786135 -   1.3s
[CV] c1=0.4218011002045873, c2=0.01214061934066534 ...................
[CV]  c1=0.4218011002045873, c2=0.01214061934066534, score=0.735370 -   1.0s
[CV] c1=0.27128729224161857, c2=0.03945465602579062 ..................
[CV]  c1=0.27128729224161857, c2=0.03945465602579062, score=0.660251 -   1.0s
[CV] c1=0.34815737936251107, c2=0.11715513080946308 ..................
[CV]  c1=0.34815737936251107, c2=0.11715513080946308, score=0.722697 -   1.2s
[CV] c1=0.2203736649245124, c2=0.02328727777683607 ...................
[CV]  c1=0.2203736649245124, c2=0.02328727777683607, score=0.845119 -   1.2s
[CV] c1=0.2867180655374279, c2=0.0538260011055298 ....................
[CV]  c1=0.2867180655374279, c2=0.0538260011055298, score=0.773841 -   1.3s
[CV] c1=0.08961073810648586, c2=0.04305851056701772 ..................
[CV]  c1=0.08961073810648586, c2=0.04305851056701772, score=0.845119 -   1.2s
[CV] c1=0.3599783036308703, c2=0.01049379188377361 ...................
[CV]  c1=0.3599783036308703, c2=0.01049379188377361, score=0.877319 -   1.2s
[CV] c1=0.2126398452424949, c2=0.07552933363501625 ...................
[CV]  c1=0.2126398452424949, c2=0.07552933363501625, score=0.779950 -   1.3s
[CV] c1=0.2772152640992946, c2=0.07775008400759818 ...................
[CV]  c1=0.2772152640992946, c2=0.07775008400759818, score=0.862026 -   1.3s
[CV] c1=0.3029547906028538, c2=0.03553876928845132 ...................
[CV]  c1=0.3029547906028538, c2=0.03553876928845132, score=0.870699 -   1.3s
[CV] c1=0.22037929086614141, c2=0.038930151482592996 .................
[CV]  c1=0.22037929086614141, c2=0.038930151482592996, score=0.891689 -   1.4s
[CV] c1=0.15556125349668462, c2=0.031993613074938455 .................
[CV]  c1=0.15556125349668462, c2=0.031993613074938455, score=0.658663 -   1.0s
[CV] c1=0.4704651214935113, c2=0.03169512874162327 ...................
[CV]  c1=0.4704651214935113, c2=0.03169512874162327, score=0.800529 -   1.3s
[CV] c1=0.4962965623271355, c2=0.11635588415242225 ...................
[CV]  c1=0.4962965623271355, c2=0.11635588415242225, score=0.757910 -   1.2s
[CV] c1=0.88651352960946, c2=0.02631162310640169 .....................
[CV]  c1=0.88651352960946, c2=0.02631162310640169, score=0.719388 -   1.1s
[CV] c1=0.2203736649245124, c2=0.02328727777683607 ...................
[CV]  c1=0.2203736649245124, c2=0.02328727777683607, score=0.693018 -   1.0s
[CV] c1=0.42863696097010057, c2=0.06200887724116129 ..................
[CV]  c1=0.42863696097010057, c2=0.06200887724116129, score=0.851630 -   1.3s
[CV] c1=0.2965254632772756, c2=0.024248106079381344 ..................
[CV]  c1=0.2965254632772756, c2=0.024248106079381344, score=0.666801 -   1.0s
[CV] c1=1.041788430145369, c2=0.009771339527955683 ...................
[CV]  c1=1.041788430145369, c2=0.009771339527955683, score=0.651473 -   1.3s
[CV] c1=0.16968485612001902, c2=0.07122586728537389 ..................
[CV]  c1=0.16968485612001902, c2=0.07122586728537389, score=0.780901 -   1.4s
[CV] c1=0.11309364571707849, c2=0.037043707886760834 .................
[CV]  c1=0.11309364571707849, c2=0.037043707886760834, score=0.656161 -   1.1s
[CV] c1=0.2082699572750503, c2=0.08385083587985503 ...................
[CV]  c1=0.2082699572750503, c2=0.08385083587985503, score=0.758324 -   1.2s
[CV] c1=0.11573774420156206, c2=0.07285357644947381 ..................
[CV]  c1=0.11573774420156206, c2=0.07285357644947381, score=0.844198 -   1.1s
[CV] c1=0.014612404383090088, c2=0.15500600615508825 .................
[CV]  c1=0.014612404383090088, c2=0.15500600615508825, score=0.872091 -   1.3s
[CV] c1=0.15556125349668462, c2=0.031993613074938455 .................
[CV]  c1=0.15556125349668462, c2=0.031993613074938455, score=0.791557 -   1.2s
[CV] c1=0.508092437951556, c2=0.025515505884834856 ...................
[CV]  c1=0.508092437951556, c2=0.025515505884834856, score=0.743165 -   1.3s
[CV] c1=0.27128729224161857, c2=0.03945465602579062 ..................
[CV]  c1=0.27128729224161857, c2=0.03945465602579062, score=0.883492 -   1.1s
[CV] c1=0.34815737936251107, c2=0.11715513080946308 ..................
[CV]  c1=0.34815737936251107, c2=0.11715513080946308, score=0.796519 -   1.0s
[CV] c1=1.4169984359174748, c2=0.061667681201916125 ..................
[CV]  c1=1.4169984359174748, c2=0.061667681201916125, score=0.703042 -   1.2s
[CV] c1=0.9805328455180882, c2=0.04161768472415585 ...................
[CV]  c1=0.9805328455180882, c2=0.04161768472415585, score=0.737907 -   1.2s
[CV] c1=0.20540398637569515, c2=0.030780003086210175 .................
[CV]  c1=0.20540398637569515, c2=0.030780003086210175, score=0.845119 -   1.2s
[CV] c1=1.041788430145369, c2=0.009771339527955683 ...................
[CV]  c1=1.041788430145369, c2=0.009771339527955683, score=0.634380 -   1.3s
[CV] c1=0.3357455545258417, c2=0.06504868638436 ......................
[CV]  c1=0.3357455545258417, c2=0.06504868638436, score=0.748295 -   1.3s
[CV] c1=0.11309364571707849, c2=0.037043707886760834 .................
[CV]  c1=0.11309364571707849, c2=0.037043707886760834, score=0.775419 -   1.4s
[CV] c1=1.7326300843746492, c2=0.03629589733386977 ...................
[CV]  c1=1.7326300843746492, c2=0.03629589733386977, score=0.608252 -   1.0s
[CV] c1=0.6087943153276969, c2=0.038534151790922455 ..................
[CV]  c1=0.6087943153276969, c2=0.038534151790922455, score=0.808824 -   1.2s
[CV] c1=0.21721562156276153, c2=0.06552258904067629 ..................
[CV]  c1=0.21721562156276153, c2=0.06552258904067629, score=0.804845 -   1.2s
[CV] c1=0.04297903466862861, c2=0.02467489827889888 ..................
[CV]  c1=0.04297903466862861, c2=0.02467489827889888, score=0.677974 -   0.9s
[CV] c1=0.04014521214359445, c2=0.016841262282314598 .................
[CV]  c1=0.04014521214359445, c2=0.016841262282314598, score=0.875233 -   1.2s
[CV] c1=0.5929498741246898, c2=0.04389602008474198 ...................
[CV]  c1=0.5929498741246898, c2=0.04389602008474198, score=0.806978 -   1.1s
[CV] c1=0.542985188111456, c2=0.18738038565350357 ....................
[CV]  c1=0.542985188111456, c2=0.18738038565350357, score=0.710405 -   1.2s
[CV] c1=2.501602301121882, c2=0.004443528496848566 ...................
[CV]  c1=2.501602301121882, c2=0.004443528496848566, score=0.568108 -   1.3s
[CV] c1=0.43827121061901825, c2=0.06255579339642602 ..................
[CV]  c1=0.43827121061901825, c2=0.06255579339642602, score=0.768665 -   1.3s
[CV] c1=0.021127656059728505, c2=0.023979010517918977 ................
[CV]  c1=0.021127656059728505, c2=0.023979010517918977, score=0.877404 -   1.2s
[CV] c1=0.7906551418852119, c2=0.17984891446687765 ...................
[CV]  c1=0.7906551418852119, c2=0.17984891446687765, score=0.576900 -   0.9s
[CV] c1=0.2126398452424949, c2=0.07552933363501625 ...................
[CV]  c1=0.2126398452424949, c2=0.07552933363501625, score=0.700758 -   1.0s
[CV] c1=1.0802756531567204, c2=0.052925302180279236 ..................
[CV]  c1=1.0802756531567204, c2=0.052925302180279236, score=0.730562 -   1.2s
[CV] c1=0.7945848853124962, c2=0.005705135756236437 ..................
[CV]  c1=0.7945848853124962, c2=0.005705135756236437, score=0.685845 -   1.3s
[CV] c1=0.04108139617306734, c2=0.08977662168776374 ..................
[CV]  c1=0.04108139617306734, c2=0.08977662168776374, score=0.844198 -   1.2s
[CV] c1=1.0202938782288915, c2=0.06788339833337413 ...................
[CV]  c1=1.0202938782288915, c2=0.06788339833337413, score=0.611760 -   1.0s
[CV] c1=0.46870106005808315, c2=0.017860452748534508 .................
[CV]  c1=0.46870106005808315, c2=0.017860452748534508, score=0.721632 -   1.3s
[CV] c1=0.04014521214359445, c2=0.016841262282314598 .................
[CV]  c1=0.04014521214359445, c2=0.016841262282314598, score=0.845119 -   1.2s
[CV] c1=0.27128729224161857, c2=0.03945465602579062 ..................
[CV]  c1=0.27128729224161857, c2=0.03945465602579062, score=0.780901 -   1.0s
[CV] c1=0.4942872230133376, c2=0.025530129558030815 ..................
[CV]  c1=0.4942872230133376, c2=0.025530129558030815, score=0.802817 -   1.2s
[CV] c1=1.4863763181580547, c2=0.07359594785293033 ...................
[CV]  c1=1.4863763181580547, c2=0.07359594785293033, score=0.701196 -   1.2s
[CV] c1=0.11910538239301986, c2=0.02125796643744688 ..................
[CV]  c1=0.11910538239301986, c2=0.02125796643744688, score=0.778183 -   1.3s
[CV] c1=0.021127656059728505, c2=0.023979010517918977 ................
[CV]  c1=0.021127656059728505, c2=0.023979010517918977, score=0.810820 -   1.3s
[CV] c1=0.7906551418852119, c2=0.17984891446687765 ...................
[CV]  c1=0.7906551418852119, c2=0.17984891446687765, score=0.615484 -   1.3s
[CV] c1=0.07220391708599885, c2=0.0003714831694247831 ................
[CV]  c1=0.07220391708599885, c2=0.0003714831694247831, score=0.855502 -   1.1s
[CV] c1=0.22743303909448526, c2=0.00790810574131805 ..................
[CV]  c1=0.22743303909448526, c2=0.00790810574131805, score=0.811087 -   1.3s
[CV] c1=0.9496758908928932, c2=0.019819497872361636 ..................
[CV]  c1=0.9496758908928932, c2=0.019819497872361636, score=0.647195 -   1.3s
[CV] c1=0.22037929086614141, c2=0.038930151482592996 .................
[CV]  c1=0.22037929086614141, c2=0.038930151482592996, score=0.774757 -   1.4s
[CV] c1=0.15556125349668462, c2=0.031993613074938455 .................
[CV]  c1=0.15556125349668462, c2=0.031993613074938455, score=0.845119 -   1.2s
[CV] c1=0.508092437951556, c2=0.025515505884834856 ...................
[CV]  c1=0.508092437951556, c2=0.025515505884834856, score=0.828972 -   1.2s
[CV] c1=0.5929498741246898, c2=0.04389602008474198 ...................
[CV]  c1=0.5929498741246898, c2=0.04389602008474198, score=0.786319 -   1.1s
[CV] c1=0.88651352960946, c2=0.02631162310640169 .....................
[CV]  c1=0.88651352960946, c2=0.02631162310640169, score=0.634380 -   1.3s
[CV] c1=0.31017950483790896, c2=0.031554113066748025 .................
[CV]  c1=0.31017950483790896, c2=0.031554113066748025, score=0.799566 -   1.3s
[CV] c1=0.11910538239301986, c2=0.02125796643744688 ..................
[CV]  c1=0.11910538239301986, c2=0.02125796643744688, score=0.881787 -   1.3s
[CV] c1=0.19459749664415613, c2=0.012961314629300542 .................
[CV]  c1=0.19459749664415613, c2=0.012961314629300542, score=0.850440 -   1.2s
[CV] c1=0.7906551418852119, c2=0.17984891446687765 ...................
[CV]  c1=0.7906551418852119, c2=0.17984891446687765, score=0.812267 -   1.3s
[CV] c1=0.07220391708599885, c2=0.0003714831694247831 ................
[CV]  c1=0.07220391708599885, c2=0.0003714831694247831, score=0.869894 -   1.3s
[CV] c1=0.2082699572750503, c2=0.08385083587985503 ...................
[CV]  c1=0.2082699572750503, c2=0.08385083587985503, score=0.879394 -   1.3s
[CV] c1=0.11573774420156206, c2=0.07285357644947381 ..................
[CV]  c1=0.11573774420156206, c2=0.07285357644947381, score=0.668333 -   1.1s
[CV] c1=0.6837907755332807, c2=0.05573743619541549 ...................
[CV]  c1=0.6837907755332807, c2=0.05573743619541549, score=0.780561 -   1.3s
[CV] c1=1.3586901914398428, c2=0.002929328903517827 ..................
[CV]  c1=1.3586901914398428, c2=0.002929328903517827, score=0.639359 -   1.3s
[CV] c1=0.555770359121197, c2=0.08854417828847198 ....................
[CV]  c1=0.555770359121197, c2=0.08854417828847198, score=0.764171 -   1.3s
[CV] c1=0.5929498741246898, c2=0.04389602008474198 ...................
[CV]  c1=0.5929498741246898, c2=0.04389602008474198, score=0.701552 -   1.2s
[CV] c1=0.1823477197660065, c2=0.001452190729120417 ..................
[CV]  c1=0.1823477197660065, c2=0.001452190729120417, score=0.846211 -   1.2s
[CV] c1=0.31017950483790896, c2=0.031554113066748025 .................
[CV]  c1=0.31017950483790896, c2=0.031554113066748025, score=0.847950 -   1.2s
[CV] c1=0.22071115810747238, c2=0.011840266452785558 .................
[CV]  c1=0.22071115810747238, c2=0.011840266452785558, score=0.787182 -   1.3s
[CV] c1=0.040392310498988664, c2=0.0824586834285606 ..................
[CV]  c1=0.040392310498988664, c2=0.0824586834285606, score=0.891133 -   1.3s
[CV] c1=0.3599783036308703, c2=0.01049379188377361 ...................
[CV]  c1=0.3599783036308703, c2=0.01049379188377361, score=0.847306 -   1.3s
[CV] c1=0.05595048795091694, c2=0.0021887677053213563 ................
[CV]  c1=0.05595048795091694, c2=0.0021887677053213563, score=0.870090 -   1.2s
[CV] c1=0.2772152640992946, c2=0.07775008400759818 ...................
[CV]  c1=0.2772152640992946, c2=0.07775008400759818, score=0.700758 -   1.0s
[CV] c1=1.7326300843746492, c2=0.03629589733386977 ...................
[CV]  c1=1.7326300843746492, c2=0.03629589733386977, score=0.678245 -   1.3s
[CV] c1=0.20515267906447526, c2=0.07752492075385775 ..................
[CV]  c1=0.20515267906447526, c2=0.07752492075385775, score=0.869248 -   1.2s
[CV] c1=0.11864509717150432, c2=0.007082425400341801 .................
[CV]  c1=0.11864509717150432, c2=0.007082425400341801, score=0.704794 -   1.0s
[CV] c1=0.022020767005811306, c2=0.04470427367441904 .................
[CV]  c1=0.022020767005811306, c2=0.04470427367441904, score=0.886046 -   1.2s
[CV] c1=0.637960335416438, c2=0.06184979539636194 ....................
[CV]  c1=0.637960335416438, c2=0.06184979539636194, score=0.731889 -   1.0s
[CV] c1=0.3519192349427301, c2=0.0494391964061218 ....................
[CV]  c1=0.3519192349427301, c2=0.0494391964061218, score=0.659591 -   0.8s
[CV] c1=0.34815737936251107, c2=0.11715513080946308 ..................
[CV]  c1=0.34815737936251107, c2=0.11715513080946308, score=0.857964 -   1.2s
[CV] c1=0.2203736649245124, c2=0.02328727777683607 ...................
[CV]  c1=0.2203736649245124, c2=0.02328727777683607, score=0.883792 -   1.3s
[CV] c1=0.2867180655374279, c2=0.0538260011055298 ....................
[CV]  c1=0.2867180655374279, c2=0.0538260011055298, score=0.756016 -   1.4s
[CV] c1=0.040392310498988664, c2=0.0824586834285606 ..................
[CV]  c1=0.040392310498988664, c2=0.0824586834285606, score=0.684685 -   1.1s
[CV] c1=0.2726185976486705, c2=0.040080747556467386 ..................
[CV]  c1=0.2726185976486705, c2=0.040080747556467386, score=0.885260 -   1.3s
[CV] c1=1.0079941879316674, c2=0.021271621147035555 ..................
[CV]  c1=1.0079941879316674, c2=0.021271621147035555, score=0.634380 -   1.3s
[CV] c1=0.5496768365902395, c2=0.046958016579367594 ..................
[CV]  c1=0.5496768365902395, c2=0.046958016579367594, score=0.786311 -   1.3s
[CV] c1=0.31203280819719115, c2=0.04997516664600837 ..................
[CV]  c1=0.31203280819719115, c2=0.04997516664600837, score=0.861903 -   1.3s
[CV] c1=0.29997777352773697, c2=0.04562573307543017 ..................
[CV]  c1=0.29997777352773697, c2=0.04562573307543017, score=0.771393 -   1.5s
[CV] c1=1.3586901914398428, c2=0.002929328903517827 ..................
[CV]  c1=1.3586901914398428, c2=0.002929328903517827, score=0.595984 -   1.3s
[CV] c1=0.508092437951556, c2=0.025515505884834856 ...................
[CV]  c1=0.508092437951556, c2=0.025515505884834856, score=0.794039 -   1.3s
[CV] c1=0.27128729224161857, c2=0.03945465602579062 ..................
[CV]  c1=0.27128729224161857, c2=0.03945465602579062, score=0.837930 -   1.0s
[CV] c1=0.4164023077151808, c2=0.0035318941456480486 .................
[CV]  c1=0.4164023077151808, c2=0.0035318941456480486, score=0.871431 -   1.2s
[CV] c1=0.026632097827473302, c2=0.14369639606920212 .................
[CV]  c1=0.026632097827473302, c2=0.14369639606920212, score=0.692519 -   1.0s
[CV] c1=0.43827121061901825, c2=0.06255579339642602 ..................
[CV]  c1=0.43827121061901825, c2=0.06255579339642602, score=0.734400 -   1.2s
[CV] c1=0.040392310498988664, c2=0.0824586834285606 ..................
[CV]  c1=0.040392310498988664, c2=0.0824586834285606, score=0.846276 -   1.2s
[CV] c1=0.3599783036308703, c2=0.01049379188377361 ...................
[CV]  c1=0.3599783036308703, c2=0.01049379188377361, score=0.767850 -   1.3s
[CV] c1=0.2126398452424949, c2=0.07552933363501625 ...................
[CV]  c1=0.2126398452424949, c2=0.07552933363501625, score=0.776402 -   1.4s
[CV] c1=0.22743303909448526, c2=0.00790810574131805 ..................
[CV]  c1=0.22743303909448526, c2=0.00790810574131805, score=0.776043 -   1.3s
[CV] c1=0.3029547906028538, c2=0.03553876928845132 ...................
[CV]  c1=0.3029547906028538, c2=0.03553876928845132, score=0.769380 -   1.4s
[CV] c1=0.014612404383090088, c2=0.15500600615508825 .................
[CV]  c1=0.014612404383090088, c2=0.15500600615508825, score=0.779704 -   1.3s
[CV] c1=0.15556125349668462, c2=0.031993613074938455 .................
[CV]  c1=0.15556125349668462, c2=0.031993613074938455, score=0.778183 -   1.6s
[CV] c1=0.4218011002045873, c2=0.01214061934066534 ...................
[CV]  c1=0.4218011002045873, c2=0.01214061934066534, score=0.801910 -   1.3s
[CV] c1=0.05451206829035301, c2=0.017648331985800042 .................
[CV]  c1=0.05451206829035301, c2=0.017648331985800042, score=0.731052 -   0.7s
[CV] c1=0.4164023077151808, c2=0.0035318941456480486 .................
[CV]  c1=0.4164023077151808, c2=0.0035318941456480486, score=0.779180 -   1.3s
[CV] c1=0.026632097827473302, c2=0.14369639606920212 .................
[CV]  c1=0.026632097827473302, c2=0.14369639606920212, score=0.815404 -   1.3s
[CV] c1=1.529202395218871, c2=0.043066337655836534 ...................
[CV]  c1=1.529202395218871, c2=0.043066337655836534, score=0.611702 -   1.2s
[CV] c1=0.27335711533738205, c2=0.047073142280890296 .................
[CV]  c1=0.27335711533738205, c2=0.047073142280890296, score=0.761294 -   1.3s
[CV] c1=1.5340402585336552, c2=0.020514598548565126 ..................
[CV]  c1=1.5340402585336552, c2=0.020514598548565126, score=0.629382 -   1.1s
[CV] c1=0.07220391708599885, c2=0.0003714831694247831 ................
[CV]  c1=0.07220391708599885, c2=0.0003714831694247831, score=0.762151 -   1.0s
[CV] c1=0.2772152640992946, c2=0.07775008400759818 ...................
[CV]  c1=0.2772152640992946, c2=0.07775008400759818, score=0.834574 -   1.1s
[CV] c1=0.31203280819719115, c2=0.04997516664600837 ..................
[CV]  c1=0.31203280819719115, c2=0.04997516664600837, score=0.698459 -   0.9s
[CV] c1=0.008597779013790344, c2=0.1647446335896852 ..................
[CV]  c1=0.008597779013790344, c2=0.1647446335896852, score=0.692519 -   1.0s
[CV] c1=1.0202938782288915, c2=0.06788339833337413 ...................
[CV]  c1=1.0202938782288915, c2=0.06788339833337413, score=0.835058 -   1.3s
[CV] c1=0.04297903466862861, c2=0.02467489827889888 ..................
[CV]  c1=0.04297903466862861, c2=0.02467489827889888, score=0.850273 -   1.1s
[CV] c1=0.04014521214359445, c2=0.016841262282314598 .................
[CV]  c1=0.04014521214359445, c2=0.016841262282314598, score=0.810246 -   1.2s
[CV] c1=0.3519192349427301, c2=0.0494391964061218 ....................
[CV]  c1=0.3519192349427301, c2=0.0494391964061218, score=0.874816 -   1.1s
[CV] c1=0.34815737936251107, c2=0.11715513080946308 ..................
[CV]  c1=0.34815737936251107, c2=0.11715513080946308, score=0.787965 -   1.1s
[CV] c1=0.11988490938335765, c2=0.07560797731909062 ..................
[CV]  c1=0.11988490938335765, c2=0.07560797731909062, score=0.837930 -   1.2s
[CV] c1=0.42863696097010057, c2=0.06200887724116129 ..................
[CV]  c1=0.42863696097010057, c2=0.06200887724116129, score=0.790600 -   1.2s
[CV] c1=0.2965254632772756, c2=0.024248106079381344 ..................
[CV]  c1=0.2965254632772756, c2=0.024248106079381344, score=0.810221 -   1.2s
[CV] c1=0.28184187786567383, c2=0.0689350188127112 ...................
[CV]  c1=0.28184187786567383, c2=0.0689350188127112, score=0.879394 -   1.3s
[CV] c1=0.3243127465016118, c2=0.004158543522914923 ..................
[CV]  c1=0.3243127465016118, c2=0.004158543522914923, score=0.790147 -   1.3s
[CV] c1=0.2466312708159231, c2=0.031905236988749856 ..................
[CV]  c1=0.2466312708159231, c2=0.031905236988749856, score=0.667460 -   1.0s
[CV] c1=0.3415429471960127, c2=0.029586598848324593 ..................
[CV]  c1=0.3415429471960127, c2=0.029586598848324593, score=0.757701 -   1.3s
[CV] c1=0.04108139617306734, c2=0.08977662168776374 ..................
[CV]  c1=0.04108139617306734, c2=0.08977662168776374, score=0.806887 -   1.3s
[CV] c1=0.1887493641511812, c2=0.1429820667173544 ....................
[CV]  c1=0.1887493641511812, c2=0.1429820667173544, score=0.860385 -   1.2s
[CV] c1=0.022020767005811306, c2=0.04470427367441904 .................
[CV]  c1=0.022020767005811306, c2=0.04470427367441904, score=0.704097 -   1.0s
[CV] c1=0.4218011002045873, c2=0.01214061934066534 ...................
[CV]  c1=0.4218011002045873, c2=0.01214061934066534, score=0.868452 -   1.3s
[CV] c1=0.3519192349427301, c2=0.0494391964061218 ....................
[CV]  c1=0.3519192349427301, c2=0.0494391964061218, score=0.802033 -   0.9s
[CV] c1=0.1823477197660065, c2=0.001452190729120417 ..................
[CV]  c1=0.1823477197660065, c2=0.001452190729120417, score=0.795712 -   1.2s
[CV] c1=2.501602301121882, c2=0.004443528496848566 ...................
[CV]  c1=2.501602301121882, c2=0.004443528496848566, score=0.647029 -   1.2s
[CV] c1=0.43827121061901825, c2=0.06255579339642602 ..................
[CV]  c1=0.43827121061901825, c2=0.06255579339642602, score=0.701622 -   1.0s
[CV] c1=0.25207439497708056, c2=0.159538636483611 ....................
[CV]  c1=0.25207439497708056, c2=0.159538636483611, score=0.698719 -   1.0s
[CV] c1=0.026014988200986345, c2=0.004129877311081017 ................
[CV]  c1=0.026014988200986345, c2=0.004129877311081017, score=0.884320 -   1.2s
[CV] c1=0.3357455545258417, c2=0.06504868638436 ......................
[CV]  c1=0.3357455545258417, c2=0.06504868638436, score=0.879602 -   1.3s
[CV] c1=0.11309364571707849, c2=0.037043707886760834 .................
[CV]  c1=0.11309364571707849, c2=0.037043707886760834, score=0.887081 -   1.2s
[CV] c1=0.3415429471960127, c2=0.029586598848324593 ..................
[CV]  c1=0.3415429471960127, c2=0.029586598848324593, score=0.879679 -   1.3s
[CV] c1=0.6087943153276969, c2=0.038534151790922455 ..................
[CV]  c1=0.6087943153276969, c2=0.038534151790922455, score=0.697359 -   1.0s
[CV] c1=0.014612404383090088, c2=0.15500600615508825 .................
[CV]  c1=0.014612404383090088, c2=0.15500600615508825, score=0.800496 -   1.3s
[CV] c1=0.46870106005808315, c2=0.017860452748534508 .................
[CV]  c1=0.46870106005808315, c2=0.017860452748534508, score=0.868316 -   1.2s
[CV] c1=0.04014521214359445, c2=0.016841262282314598 .................
[CV]  c1=0.04014521214359445, c2=0.016841262282314598, score=0.810820 -   1.3s
[CV] c1=0.27128729224161857, c2=0.03945465602579062 ..................
[CV]  c1=0.27128729224161857, c2=0.03945465602579062, score=0.790999 -   1.1s
[CV] c1=0.4164023077151808, c2=0.0035318941456480486 .................
[CV]  c1=0.4164023077151808, c2=0.0035318941456480486, score=0.837940 -   1.2s
[CV] c1=0.026632097827473302, c2=0.14369639606920212 .................
[CV]  c1=0.026632097827473302, c2=0.14369639606920212, score=0.783671 -   1.2s
[CV] c1=0.6163832888630889, c2=0.034257164839801756 ..................
[CV]  c1=0.6163832888630889, c2=0.034257164839801756, score=0.770769 -   1.2s
[CV] c1=0.021127656059728505, c2=0.023979010517918977 ................
[CV]  c1=0.021127656059728505, c2=0.023979010517918977, score=0.690789 -   1.0s
[CV] c1=0.3599783036308703, c2=0.01049379188377361 ...................
[CV]  c1=0.3599783036308703, c2=0.01049379188377361, score=0.661815 -   1.0s
[CV] c1=0.3243127465016118, c2=0.004158543522914923 ..................
[CV]  c1=0.3243127465016118, c2=0.004158543522914923, score=0.839429 -   1.2s
[CV] c1=1.0802756531567204, c2=0.052925302180279236 ..................
[CV]  c1=1.0802756531567204, c2=0.052925302180279236, score=0.575528 -   1.2s
[CV] c1=0.7945848853124962, c2=0.005705135756236437 ..................
[CV]  c1=0.7945848853124962, c2=0.005705135756236437, score=0.722125 -   1.3s
[CV] c1=0.008597779013790344, c2=0.1647446335896852 ..................
[CV]  c1=0.008597779013790344, c2=0.1647446335896852, score=0.836007 -   1.2s
[CV] c1=0.1887493641511812, c2=0.1429820667173544 ....................
[CV]  c1=0.1887493641511812, c2=0.1429820667173544, score=0.724719 -   1.2s
[CV] c1=0.022020767005811306, c2=0.04470427367441904 .................
[CV]  c1=0.022020767005811306, c2=0.04470427367441904, score=0.845119 -   1.2s
[CV] c1=0.637960335416438, c2=0.06184979539636194 ....................
[CV]  c1=0.637960335416438, c2=0.06184979539636194, score=0.765882 -   1.2s
[CV] c1=0.05451206829035301, c2=0.017648331985800042 .................
[CV]  c1=0.05451206829035301, c2=0.017648331985800042, score=0.812371 -   0.8s
[CV] c1=0.2744421297260719, c2=0.06342829965150053 ...................
[CV]  c1=0.2744421297260719, c2=0.06342829965150053, score=0.802285 -   1.4s
[CV] c1=0.15563267293995411, c2=0.0801258944518196 ...................
[CV]  c1=0.15563267293995411, c2=0.0801258944518196, score=0.765796 -   1.2s
[CV] c1=0.20540398637569515, c2=0.030780003086210175 .................
[CV]  c1=0.20540398637569515, c2=0.030780003086210175, score=0.893510 -   1.2s
[CV] c1=1.041788430145369, c2=0.009771339527955683 ...................
[CV]  c1=1.041788430145369, c2=0.009771339527955683, score=0.847768 -   1.1s
[CV] c1=1.5340402585336552, c2=0.020514598548565126 ..................
[CV]  c1=1.5340402585336552, c2=0.020514598548565126, score=0.795910 -   1.2s
[CV] c1=0.07220391708599885, c2=0.0003714831694247831 ................
[CV]  c1=0.07220391708599885, c2=0.0003714831694247831, score=0.802937 -   1.2s
[CV] c1=0.03610542751852528, c2=0.022690880522697795 .................
[CV]  c1=0.03610542751852528, c2=0.022690880522697795, score=0.810820 -   1.2s
[CV] c1=0.9496758908928932, c2=0.019819497872361636 ..................
[CV]  c1=0.9496758908928932, c2=0.019819497872361636, score=0.854414 -   1.1s
[CV] c1=0.6837907755332807, c2=0.05573743619541549 ...................
[CV]  c1=0.6837907755332807, c2=0.05573743619541549, score=0.694950 -   0.9s
[CV] c1=0.11864509717150432, c2=0.007082425400341801 .................
[CV]  c1=0.11864509717150432, c2=0.007082425400341801, score=0.879494 -   1.2s
[CV] c1=0.007851077808717402, c2=0.013268215473372905 ................
[CV]  c1=0.007851077808717402, c2=0.013268215473372905, score=0.748496 -   0.9s
[CV] c1=0.4218011002045873, c2=0.01214061934066534 ...................
[CV]  c1=0.4218011002045873, c2=0.01214061934066534, score=0.768571 -   1.2s
[CV] c1=0.3519192349427301, c2=0.0494391964061218 ....................
[CV]  c1=0.3519192349427301, c2=0.0494391964061218, score=0.748295 -   1.0s
[CV] c1=0.4164023077151808, c2=0.0035318941456480486 .................
[CV]  c1=0.4164023077151808, c2=0.0035318941456480486, score=0.731038 -   1.0s
[CV] c1=2.501602301121882, c2=0.004443528496848566 ...................
[CV]  c1=2.501602301121882, c2=0.004443528496848566, score=0.525410 -   1.3s
[CV] c1=0.11910538239301986, c2=0.02125796643744688 ..................
[CV]  c1=0.11910538239301986, c2=0.02125796643744688, score=0.808473 -   1.3s
[CV] c1=0.19459749664415613, c2=0.012961314629300542 .................
[CV]  c1=0.19459749664415613, c2=0.012961314629300542, score=0.772038 -   1.3s
[CV] c1=0.7906551418852119, c2=0.17984891446687765 ...................
[CV]  c1=0.7906551418852119, c2=0.17984891446687765, score=0.693411 -   1.2s
[CV] c1=0.5971798713277401, c2=0.07644743266861664 ...................
[CV]  c1=0.5971798713277401, c2=0.07644743266861664, score=0.692543 -   1.0s
[CV] c1=0.5496768365902395, c2=0.046958016579367594 ..................
[CV]  c1=0.5496768365902395, c2=0.046958016579367594, score=0.841440 -   1.2s
[CV] c1=1.1330690931769336, c2=0.00849773558259215 ...................
[CV]  c1=1.1330690931769336, c2=0.00849773558259215, score=0.842737 -   1.2s
[CV] c1=0.008597779013790344, c2=0.1647446335896852 ..................
[CV]  c1=0.008597779013790344, c2=0.1647446335896852, score=0.833204 -   1.3s
[CV] c1=0.11864509717150432, c2=0.007082425400341801 .................
[CV]  c1=0.11864509717150432, c2=0.007082425400341801, score=0.795221 -   1.2s
[CV] c1=0.007851077808717402, c2=0.013268215473372905 ................
[CV]  c1=0.007851077808717402, c2=0.013268215473372905, score=0.850268 -   1.1s
[CV] c1=0.4935319648270305, c2=0.10270634253639394 ...................
[CV]  c1=0.4935319648270305, c2=0.10270634253639394, score=0.681223 -   1.0s
[CV] c1=0.05451206829035301, c2=0.017648331985800042 .................
[CV]  c1=0.05451206829035301, c2=0.017648331985800042, score=0.882616 -   1.0s
[CV] c1=0.1823477197660065, c2=0.001452190729120417 ..................
[CV]  c1=0.1823477197660065, c2=0.001452190729120417, score=0.660505 -   1.0s
[CV] c1=0.11988490938335765, c2=0.07560797731909062 ..................
[CV]  c1=0.11988490938335765, c2=0.07560797731909062, score=0.798782 -   1.3s
[CV] c1=0.2867180655374279, c2=0.0538260011055298 ....................
[CV]  c1=0.2867180655374279, c2=0.0538260011055298, score=0.701418 -   1.0s
[CV] c1=0.2965254632772756, c2=0.024248106079381344 ..................
[CV]  c1=0.2965254632772756, c2=0.024248106079381344, score=0.878267 -   1.3s
[CV] c1=0.026014988200986345, c2=0.004129877311081017 ................
[CV]  c1=0.026014988200986345, c2=0.004129877311081017, score=0.860793 -   1.2s
[CV] c1=0.3357455545258417, c2=0.06504868638436 ......................
[CV]  c1=0.3357455545258417, c2=0.06504868638436, score=0.820766 -   1.2s
[CV] c1=1.0802756531567204, c2=0.052925302180279236 ..................
[CV]  c1=1.0802756531567204, c2=0.052925302180279236, score=0.836822 -   1.3s
[CV] c1=0.7945848853124962, c2=0.005705135756236437 ..................
[CV]  c1=0.7945848853124962, c2=0.005705135756236437, score=0.794317 -   1.2s
[CV] c1=0.04108139617306734, c2=0.08977662168776374 ..................
[CV]  c1=0.04108139617306734, c2=0.08977662168776374, score=0.887426 -   1.3s
[CV] c1=1.0202938782288915, c2=0.06788339833337413 ...................
[CV]  c1=1.0202938782288915, c2=0.06788339833337413, score=0.729569 -   1.2s
[CV] c1=0.04297903466862861, c2=0.02467489827889888 ..................
[CV]  c1=0.04297903466862861, c2=0.02467489827889888, score=0.810820 -   1.3s
[CV] c1=0.4218011002045873, c2=0.01214061934066534 ...................
[CV]  c1=0.4218011002045873, c2=0.01214061934066534, score=0.844411 -   1.2s
[CV] c1=0.3519192349427301, c2=0.0494391964061218 ....................
[CV]  c1=0.3519192349427301, c2=0.0494391964061218, score=0.841049 -   1.0s
Training done in: 17.260985s
     Saving training model...
        Saving training model done in: 0.013552s
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Prediction done in: 0.027829s