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

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Run3_v13.txt 72.5 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run3
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: FalseS4: False
Run variant: 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: 0.003649s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0      1
0       lemma      :
1      postag      :
2    -1:lemma     in
3   -1:postag     IN
4    +1:lemma     m9
5   +1:postag     NN
6        word      :
7     isUpper  False
8     isLower  False
9     isGreek  False
10   isNumber  False
11    -1:word     in
12    +1:word     M9
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.12464851698358835, c2=0.008091497430481348 .................
[CV]  c1=0.12464851698358835, c2=0.008091497430481348, score=0.823674 -   1.4s
[CV] c1=1.4545632522619, c2=0.047519515691738026 .....................
[CV]  c1=1.4545632522619, c2=0.047519515691738026, score=0.719433 -   1.3s
[CV] c1=0.630347836156815, c2=0.002675877325528379 ...................
[CV]  c1=0.630347836156815, c2=0.002675877325528379, score=0.775730 -   1.5s
[CV] c1=0.4304666689239332, c2=0.016369964226419034 ..................
[CV]  c1=0.4304666689239332, c2=0.016369964226419034, score=0.815311 -   1.3s
[CV] c1=1.21557172947825, c2=0.02377580476792795 .....................
[CV]  c1=1.21557172947825, c2=0.02377580476792795, score=0.577082 -   1.4s
[CV] c1=0.04214387543488536, c2=0.09734929820650334 ..................
[CV]  c1=0.04214387543488536, c2=0.09734929820650334, score=0.688762 -   1.1s
[CV] c1=0.1789807653112737, c2=0.00936786674615304 ...................
[CV]  c1=0.1789807653112737, c2=0.00936786674615304, score=0.879682 -   1.4s
[CV] c1=0.4390450271570005, c2=0.029129717606911288 ..................
[CV]  c1=0.4390450271570005, c2=0.029129717606911288, score=0.884927 -   1.4s
[CV] c1=0.3015192825946649, c2=0.011438796116638976 ..................
[CV]  c1=0.3015192825946649, c2=0.011438796116638976, score=0.795099 -   1.4s
[CV] c1=0.8583366875239203, c2=0.05214271366626538 ...................
[CV]  c1=0.8583366875239203, c2=0.05214271366626538, score=0.850861 -   1.4s
[CV] c1=0.07680162052811325, c2=0.021261991840118285 .................
[CV]  c1=0.07680162052811325, c2=0.021261991840118285, score=0.858575 -   1.3s
[CV] c1=0.4371891162042021, c2=0.037167862678429815 ..................
[CV]  c1=0.4371891162042021, c2=0.037167862678429815, score=0.685769 -   1.1s
[CV] c1=0.01761188324619833, c2=0.051074407149021644 .................
[CV]  c1=0.01761188324619833, c2=0.051074407149021644, score=0.855449 -   1.1s
[CV] c1=0.4927862317556756, c2=0.004750552617042051 ..................
[CV]  c1=0.4927862317556756, c2=0.004750552617042051, score=0.886802 -   1.5s
[CV] c1=0.2499598209307591, c2=0.03447247059168856 ...................
[CV]  c1=0.2499598209307591, c2=0.03447247059168856, score=0.899324 -   1.5s
[CV] c1=0.2220479462304227, c2=0.03960829071351463 ...................
[CV]  c1=0.2220479462304227, c2=0.03960829071351463, score=0.842813 -   1.4s
[CV] c1=0.5181554681647207, c2=0.01803786299851891 ...................
[CV]  c1=0.5181554681647207, c2=0.01803786299851891, score=0.789104 -   1.5s
[CV] c1=0.007765677993705307, c2=0.08978430402828035 .................
[CV]  c1=0.007765677993705307, c2=0.08978430402828035, score=0.855449 -   1.4s
[CV] c1=0.027134823945859154, c2=0.01535706718451195 .................
[CV]  c1=0.027134823945859154, c2=0.01535706718451195, score=0.846348 -   1.3s
[CV] c1=0.9783621776244401, c2=0.0757924900779795 ....................
[CV]  c1=0.9783621776244401, c2=0.0757924900779795, score=0.580601 -   1.4s
[CV] c1=0.3015192825946649, c2=0.011438796116638976 ..................
[CV]  c1=0.3015192825946649, c2=0.011438796116638976, score=0.698819 -   1.2s
[CV] c1=0.6838666441224145, c2=0.1070649522342581 ....................
[CV]  c1=0.6838666441224145, c2=0.1070649522342581, score=0.850861 -   1.4s
[CV] c1=0.465473249289115, c2=0.06461595543675967 ....................
[CV]  c1=0.465473249289115, c2=0.06461595543675967, score=0.833622 -   1.3s
[CV] c1=0.06587167615658332, c2=0.03547367015345498 ..................
[CV]  c1=0.06587167615658332, c2=0.03547367015345498, score=0.787542 -   1.4s
[CV] c1=0.616830183903925, c2=0.025884005340070078 ...................
[CV]  c1=0.616830183903925, c2=0.025884005340070078, score=0.738867 -   1.5s
[CV] c1=0.5426141861407018, c2=0.0022148922179213936 .................
[CV]  c1=0.5426141861407018, c2=0.0022148922179213936, score=0.782960 -   1.5s
[CV] c1=0.07445799172339314, c2=0.011744732343682809 .................
[CV]  c1=0.07445799172339314, c2=0.011744732343682809, score=0.862119 -   1.3s
[CV] c1=0.12234039735025266, c2=0.02436111342358252 ..................
[CV]  c1=0.12234039735025266, c2=0.02436111342358252, score=0.811645 -   1.5s
[CV] c1=0.19677143693982344, c2=0.15650576054139118 ..................
[CV]  c1=0.19677143693982344, c2=0.15650576054139118, score=0.825242 -   1.3s
[CV] c1=0.24962930604581862, c2=0.014994346638809409 .................
[CV]  c1=0.24962930604581862, c2=0.014994346638809409, score=0.682976 -   1.1s
[CV] c1=0.41988052161414813, c2=0.10276395857056371 ..................
[CV]  c1=0.41988052161414813, c2=0.10276395857056371, score=0.660618 -   1.1s
[CV] c1=0.9783621776244401, c2=0.0757924900779795 ....................
[CV]  c1=0.9783621776244401, c2=0.0757924900779795, score=0.766790 -   1.3s
[CV] c1=0.08866655640356766, c2=0.01134424847430598 ..................
[CV]  c1=0.08866655640356766, c2=0.01134424847430598, score=0.817789 -   1.4s
[CV] c1=0.331371909424034, c2=0.07297497540912815 ....................
[CV]  c1=0.331371909424034, c2=0.07297497540912815, score=0.803437 -   1.4s
[CV] c1=0.07680162052811325, c2=0.021261991840118285 .................
[CV]  c1=0.07680162052811325, c2=0.021261991840118285, score=0.678290 -   1.1s
[CV] c1=0.616818339845471, c2=0.002163519452545441 ...................
[CV]  c1=0.616818339845471, c2=0.002163519452545441, score=0.858355 -   1.4s
[CV] c1=0.47589217301064746, c2=0.011680717674310802 .................
[CV]  c1=0.47589217301064746, c2=0.011680717674310802, score=0.891690 -   1.3s
[CV] c1=2.473583480180359, c2=0.04960788253103776 ....................
[CV]  c1=2.473583480180359, c2=0.04960788253103776, score=0.599585 -   1.4s
[CV] c1=0.07445799172339314, c2=0.011744732343682809 .................
[CV]  c1=0.07445799172339314, c2=0.011744732343682809, score=0.817789 -   1.3s
[CV] c1=0.07214456037112513, c2=0.01058507179998374 ..................
[CV]  c1=0.07214456037112513, c2=0.01058507179998374, score=0.816750 -   1.4s
[CV] c1=0.08050424020969939, c2=0.03215022068952954 ..................
[CV]  c1=0.08050424020969939, c2=0.03215022068952954, score=0.814302 -   1.5s
[CV] c1=0.29501574340354947, c2=0.006117919508845196 .................
[CV]  c1=0.29501574340354947, c2=0.006117919508845196, score=0.811293 -   1.4s
[CV] c1=0.1520361110771088, c2=0.026470115917422578 ..................
[CV]  c1=0.1520361110771088, c2=0.026470115917422578, score=0.783954 -   1.4s
[CV] c1=0.7721906346470812, c2=0.1267484628299916 ....................
[CV]  c1=0.7721906346470812, c2=0.1267484628299916, score=0.643516 -   1.1s
[CV] c1=0.07444603633741458, c2=0.009821887613650904 .................
[CV]  c1=0.07444603633741458, c2=0.009821887613650904, score=0.831592 -   1.3s
[CV] c1=1.119627918800199, c2=0.10260105243661549 ....................
[CV]  c1=1.119627918800199, c2=0.10260105243661549, score=0.580601 -   1.3s
[CV] c1=0.4592635931513281, c2=0.03624513886473813 ...................
[CV]  c1=0.4592635931513281, c2=0.03624513886473813, score=0.685769 -   1.1s
[CV] c1=1.0423258734020653, c2=0.015459587003558043 ..................
[CV]  c1=1.0423258734020653, c2=0.015459587003558043, score=0.845606 -   1.3s
[CV] c1=1.3849488366926788, c2=0.03453509225094454 ...................
[CV]  c1=1.3849488366926788, c2=0.03453509225094454, score=0.800178 -   1.3s
[CV] c1=2.473583480180359, c2=0.04960788253103776 ....................
[CV]  c1=2.473583480180359, c2=0.04960788253103776, score=0.518537 -   1.5s
[CV] c1=0.31177923009771913, c2=0.022972756681005548 .................
[CV]  c1=0.31177923009771913, c2=0.022972756681005548, score=0.811645 -   1.3s
[CV] c1=0.1707413456699256, c2=5.340721912180764e-05 .................
[CV]  c1=0.1707413456699256, c2=5.340721912180764e-05, score=0.897109 -   1.3s
[CV] c1=0.08239711852434824, c2=0.020847399417472573 .................
[CV]  c1=0.08239711852434824, c2=0.020847399417472573, score=0.878398 -   1.4s
[CV] c1=0.29501574340354947, c2=0.006117919508845196 .................
[CV]  c1=0.29501574340354947, c2=0.006117919508845196, score=0.905427 -   1.4s
[CV] c1=0.1520361110771088, c2=0.026470115917422578 ..................
[CV]  c1=0.1520361110771088, c2=0.026470115917422578, score=0.670393 -   1.1s
[CV] c1=1.6780310413375448, c2=0.04833013508280823 ...................
[CV]  c1=1.6780310413375448, c2=0.04833013508280823, score=0.604406 -   1.5s
[CV] c1=0.07444603633741458, c2=0.009821887613650904 .................
[CV]  c1=0.07444603633741458, c2=0.009821887613650904, score=0.876621 -   1.4s
[CV] c1=1.119627918800199, c2=0.10260105243661549 ....................
[CV]  c1=1.119627918800199, c2=0.10260105243661549, score=0.759497 -   1.3s
[CV] c1=0.4592635931513281, c2=0.03624513886473813 ...................
[CV]  c1=0.4592635931513281, c2=0.03624513886473813, score=0.815311 -   1.3s
[CV] c1=0.5334613446023213, c2=0.03077294459292836 ...................
[CV]  c1=0.5334613446023213, c2=0.03077294459292836, score=0.659964 -   1.1s
[CV] c1=0.47589217301064746, c2=0.011680717674310802 .................
[CV]  c1=0.47589217301064746, c2=0.011680717674310802, score=0.821746 -   1.4s
[CV] c1=0.2713011457150332, c2=0.009775796749247403 ..................
[CV]  c1=0.2713011457150332, c2=0.009775796749247403, score=0.712154 -   1.0s
[CV] c1=0.48495710259161257, c2=0.06766522494746836 ..................
[CV]  c1=0.48495710259161257, c2=0.06766522494746836, score=0.744659 -   1.4s
[CV] c1=1.3139615220072824, c2=0.06449082906117483 ...................
[CV]  c1=1.3139615220072824, c2=0.06449082906117483, score=0.571706 -   1.0s
[CV] c1=1.21557172947825, c2=0.02377580476792795 .....................
[CV]  c1=1.21557172947825, c2=0.02377580476792795, score=0.766790 -   1.3s
[CV] c1=0.21385544707021695, c2=0.022043570342049987 .................
[CV]  c1=0.21385544707021695, c2=0.022043570342049987, score=0.832679 -   1.3s
[CV] c1=0.1789807653112737, c2=0.00936786674615304 ...................
[CV]  c1=0.1789807653112737, c2=0.00936786674615304, score=0.839869 -   1.3s
[CV] c1=0.4390450271570005, c2=0.029129717606911288 ..................
[CV]  c1=0.4390450271570005, c2=0.029129717606911288, score=0.763088 -   1.4s
[CV] c1=0.3015192825946649, c2=0.011438796116638976 ..................
[CV]  c1=0.3015192825946649, c2=0.011438796116638976, score=0.815346 -   1.4s
[CV] c1=0.8583366875239203, c2=0.05214271366626538 ...................
[CV]  c1=0.8583366875239203, c2=0.05214271366626538, score=0.676232 -   1.4s
[CV] c1=0.3399090421851692, c2=0.037042279089473266 ..................
[CV]  c1=0.3399090421851692, c2=0.037042279089473266, score=0.889681 -   1.3s
[CV] c1=0.4371891162042021, c2=0.037167862678429815 ..................
[CV]  c1=0.4371891162042021, c2=0.037167862678429815, score=0.779893 -   1.4s
[CV] c1=0.31182361922866664, c2=0.07760641152703096 ..................
[CV]  c1=0.31182361922866664, c2=0.07760641152703096, score=0.825596 -   1.4s
[CV] c1=0.7861203447983542, c2=0.10745142252092332 ...................
[CV]  c1=0.7861203447983542, c2=0.10745142252092332, score=0.675572 -   1.4s
[CV] c1=0.07445799172339314, c2=0.011744732343682809 .................
[CV]  c1=0.07445799172339314, c2=0.011744732343682809, score=0.680707 -   1.1s
[CV] c1=0.4304666689239332, c2=0.016369964226419034 ..................
[CV]  c1=0.4304666689239332, c2=0.016369964226419034, score=0.782673 -   1.4s
[CV] c1=0.05434814950994315, c2=0.0017021729110582454 ................
[CV]  c1=0.05434814950994315, c2=0.0017021729110582454, score=0.827029 -   1.3s
[CV] c1=0.04214387543488536, c2=0.09734929820650334 ..................
[CV]  c1=0.04214387543488536, c2=0.09734929820650334, score=0.801994 -   1.5s
[CV] c1=0.14233861571223633, c2=0.06649071792549008 ..................
[CV]  c1=0.14233861571223633, c2=0.06649071792549008, score=0.889171 -   1.4s
[CV] c1=1.6780310413375448, c2=0.04833013508280823 ...................
[CV]  c1=1.6780310413375448, c2=0.04833013508280823, score=0.512537 -   1.1s
[CV] c1=0.6475687301987264, c2=0.049802323814466476 ..................
[CV]  c1=0.6475687301987264, c2=0.049802323814466476, score=0.850861 -   1.3s
[CV] c1=0.8583366875239203, c2=0.05214271366626538 ...................
[CV]  c1=0.8583366875239203, c2=0.05214271366626538, score=0.640430 -   1.1s
[CV] c1=0.465473249289115, c2=0.06461595543675967 ....................
[CV]  c1=0.465473249289115, c2=0.06461595543675967, score=0.803488 -   1.4s
[CV] c1=0.616818339845471, c2=0.002163519452545441 ...................
[CV]  c1=0.616818339845471, c2=0.002163519452545441, score=0.727982 -   1.4s
[CV] c1=0.12464851698358835, c2=0.008091497430481348 .................
[CV]  c1=0.12464851698358835, c2=0.008091497430481348, score=0.673494 -   1.0s
[CV] c1=0.4927862317556756, c2=0.004750552617042051 ..................
[CV]  c1=0.4927862317556756, c2=0.004750552617042051, score=0.693209 -   1.1s
[CV] c1=0.3760485552002209, c2=0.02042169444828 ......................
[CV]  c1=0.3760485552002209, c2=0.02042169444828, score=0.768344 -   1.5s
[CV] c1=0.27407078110271815, c2=0.005866643096599482 .................
[CV]  c1=0.27407078110271815, c2=0.005866643096599482, score=0.905427 -   1.3s
[CV] c1=1.364072213767297, c2=0.06825209774528389 ....................
[CV]  c1=1.364072213767297, c2=0.06825209774528389, score=0.568174 -   1.1s
[CV] c1=0.08239711852434824, c2=0.020847399417472573 .................
[CV]  c1=0.08239711852434824, c2=0.020847399417472573, score=0.671198 -   1.1s
[CV] c1=0.24962930604581862, c2=0.014994346638809409 .................
[CV]  c1=0.24962930604581862, c2=0.014994346638809409, score=0.815346 -   1.5s
[CV] c1=0.8256968343633158, c2=0.009884695976214867 ..................
[CV]  c1=0.8256968343633158, c2=0.009884695976214867, score=0.792640 -   1.4s
[CV] c1=0.5892432782778401, c2=0.1196587404345205 ....................
[CV]  c1=0.5892432782778401, c2=0.1196587404345205, score=0.652759 -   1.1s
[CV] c1=0.08916625213863132, c2=0.029559035689550036 .................
[CV]  c1=0.08916625213863132, c2=0.029559035689550036, score=0.867465 -   1.4s
[CV] c1=0.0003733475655639723, c2=0.03884728726767374 ................
[CV]  c1=0.0003733475655639723, c2=0.03884728726767374, score=0.698739 -   1.2s
[CV] c1=0.07680162052811325, c2=0.021261991840118285 .................
[CV]  c1=0.07680162052811325, c2=0.021261991840118285, score=0.782441 -   1.5s
[CV] c1=1.0423258734020653, c2=0.015459587003558043 ..................
[CV]  c1=1.0423258734020653, c2=0.015459587003558043, score=0.773935 -   1.2s
[CV] c1=0.462113200130967, c2=0.002529290328014463 ...................
[CV]  c1=0.462113200130967, c2=0.002529290328014463, score=0.782960 -   1.4s
[CV] c1=0.7861203447983542, c2=0.10745142252092332 ...................
[CV]  c1=0.7861203447983542, c2=0.10745142252092332, score=0.850861 -   1.3s
[CV] c1=0.48495710259161257, c2=0.06766522494746836 ..................
[CV]  c1=0.48495710259161257, c2=0.06766522494746836, score=0.659964 -   1.1s
[CV] c1=0.4304666689239332, c2=0.016369964226419034 ..................
[CV]  c1=0.4304666689239332, c2=0.016369964226419034, score=0.887716 -   1.3s
[CV] c1=1.21557172947825, c2=0.02377580476792795 .....................
[CV]  c1=1.21557172947825, c2=0.02377580476792795, score=0.809955 -   1.3s
[CV] c1=0.21385544707021695, c2=0.022043570342049987 .................
[CV]  c1=0.21385544707021695, c2=0.022043570342049987, score=0.681050 -   1.1s
[CV] c1=0.027134823945859154, c2=0.01535706718451195 .................
[CV]  c1=0.027134823945859154, c2=0.01535706718451195, score=0.866926 -   1.3s
[CV] c1=0.9783621776244401, c2=0.0757924900779795 ....................
[CV]  c1=0.9783621776244401, c2=0.0757924900779795, score=0.852035 -   1.4s
[CV] c1=0.08866655640356766, c2=0.01134424847430598 ..................
[CV]  c1=0.08866655640356766, c2=0.01134424847430598, score=0.847968 -   1.4s
[CV] c1=0.6838666441224145, c2=0.1070649522342581 ....................
[CV]  c1=0.6838666441224145, c2=0.1070649522342581, score=0.771069 -   1.4s
[CV] c1=0.681352518370928, c2=0.08511080173633266 ....................
[CV]  c1=0.681352518370928, c2=0.08511080173633266, score=0.705293 -   1.5s
[CV] c1=0.4371891162042021, c2=0.037167862678429815 ..................
[CV]  c1=0.4371891162042021, c2=0.037167862678429815, score=0.885344 -   1.4s
[CV] c1=1.3849488366926788, c2=0.03453509225094454 ...................
[CV]  c1=1.3849488366926788, c2=0.03453509225094454, score=0.551289 -   1.3s
[CV] c1=0.3760485552002209, c2=0.02042169444828 ......................
[CV]  c1=0.3760485552002209, c2=0.02042169444828, score=0.895788 -   1.4s
[CV] c1=0.28098038302827905, c2=0.10939478253696872 ..................
[CV]  c1=0.28098038302827905, c2=0.10939478253696872, score=0.762680 -   1.4s
[CV] c1=0.1707413456699256, c2=5.340721912180764e-05 .................
[CV]  c1=0.1707413456699256, c2=5.340721912180764e-05, score=0.810005 -   1.4s
[CV] c1=0.2027894660714455, c2=0.013518799309188144 ..................
[CV]  c1=0.2027894660714455, c2=0.013518799309188144, score=0.667336 -   1.1s
[CV] c1=0.29501574340354947, c2=0.006117919508845196 .................
[CV]  c1=0.29501574340354947, c2=0.006117919508845196, score=0.675282 -   1.1s
[CV] c1=0.14233861571223633, c2=0.06649071792549008 ..................
[CV]  c1=0.14233861571223633, c2=0.06649071792549008, score=0.811645 -   1.4s
[CV] c1=0.5892432782778401, c2=0.1196587404345205 ....................
[CV]  c1=0.5892432782778401, c2=0.1196587404345205, score=0.856003 -   1.4s
[CV] c1=0.07444603633741458, c2=0.009821887613650904 .................
[CV]  c1=0.07444603633741458, c2=0.009821887613650904, score=0.671838 -   1.1s
[CV] c1=0.0003733475655639723, c2=0.03884728726767374 ................
[CV]  c1=0.0003733475655639723, c2=0.03884728726767374, score=0.859369 -   1.3s
[CV] c1=0.3399090421851692, c2=0.037042279089473266 ..................
[CV]  c1=0.3399090421851692, c2=0.037042279089473266, score=0.687046 -   1.1s
[CV] c1=0.616818339845471, c2=0.002163519452545441 ...................
[CV]  c1=0.616818339845471, c2=0.002163519452545441, score=0.789104 -   1.4s
[CV] c1=0.01761188324619833, c2=0.051074407149021644 .................
[CV]  c1=0.01761188324619833, c2=0.051074407149021644, score=0.768881 -   1.3s
[CV] c1=0.07116083456184914, c2=0.05160326500269782 ..................
[CV]  c1=0.07116083456184914, c2=0.05160326500269782, score=0.844126 -   1.3s
[CV] c1=0.2499598209307591, c2=0.03447247059168856 ...................
[CV]  c1=0.2499598209307591, c2=0.03447247059168856, score=0.806990 -   1.4s
[CV] c1=0.2220479462304227, c2=0.03960829071351463 ...................
[CV]  c1=0.2220479462304227, c2=0.03960829071351463, score=0.815346 -   1.4s
[CV] c1=1.2176859837307423, c2=0.0066221461424451275 .................
[CV]  c1=1.2176859837307423, c2=0.0066221461424451275, score=0.818224 -   1.3s
[CV] c1=0.007765677993705307, c2=0.08978430402828035 .................
[CV]  c1=0.007765677993705307, c2=0.08978430402828035, score=0.683486 -   1.1s
[CV] c1=0.5452597531005653, c2=0.008860669944847733 ..................
[CV]  c1=0.5452597531005653, c2=0.008860669944847733, score=0.677206 -   1.1s
[CV] c1=0.1576853160344991, c2=0.010486759298573978 ..................
[CV]  c1=0.1576853160344991, c2=0.010486759298573978, score=0.899621 -   1.5s
[CV] c1=0.7721906346470812, c2=0.1267484628299916 ....................
[CV]  c1=0.7721906346470812, c2=0.1267484628299916, score=0.790451 -   1.4s
[CV] c1=0.3763437391829335, c2=0.02115742362106385 ...................
[CV]  c1=0.3763437391829335, c2=0.02115742362106385, score=0.808864 -   1.5s
[CV] c1=0.13207361559093822, c2=0.018981449938947674 .................
[CV]  c1=0.13207361559093822, c2=0.018981449938947674, score=0.672912 -   1.2s
[CV] c1=0.9841136874431049, c2=0.006510894023156151 ..................
[CV]  c1=0.9841136874431049, c2=0.006510894023156151, score=0.657671 -   1.1s
[CV] c1=0.9168371588007677, c2=0.05407189292506224 ...................
[CV]  c1=0.9168371588007677, c2=0.05407189292506224, score=0.636149 -   1.0s
[CV] c1=0.616830183903925, c2=0.025884005340070078 ...................
[CV]  c1=0.616830183903925, c2=0.025884005340070078, score=0.677206 -   1.0s
[CV] c1=0.07116083456184914, c2=0.05160326500269782 ..................
[CV]  c1=0.07116083456184914, c2=0.05160326500269782, score=0.829207 -   1.3s
[CV] c1=0.2499598209307591, c2=0.03447247059168856 ...................
[CV]  c1=0.2499598209307591, c2=0.03447247059168856, score=0.836237 -   1.3s
[CV] c1=0.2220479462304227, c2=0.03960829071351463 ...................
[CV]  c1=0.2220479462304227, c2=0.03960829071351463, score=0.809383 -   1.4s
[CV] c1=0.5181554681647207, c2=0.01803786299851891 ...................
[CV]  c1=0.5181554681647207, c2=0.01803786299851891, score=0.824149 -   1.3s
[CV] c1=0.007765677993705307, c2=0.08978430402828035 .................
[CV]  c1=0.007765677993705307, c2=0.08978430402828035, score=0.874875 -   1.5s
[CV] c1=0.027134823945859154, c2=0.01535706718451195 .................
[CV]  c1=0.027134823945859154, c2=0.01535706718451195, score=0.831600 -   1.5s
[CV] c1=0.4390450271570005, c2=0.029129717606911288 ..................
[CV]  c1=0.4390450271570005, c2=0.029129717606911288, score=0.794563 -   1.4s
[CV] c1=0.6475687301987264, c2=0.049802323814466476 ..................
[CV]  c1=0.6475687301987264, c2=0.049802323814466476, score=0.795728 -   1.3s
[CV] c1=0.8583366875239203, c2=0.05214271366626538 ...................
[CV]  c1=0.8583366875239203, c2=0.05214271366626538, score=0.773935 -   1.3s
[CV] c1=0.07680162052811325, c2=0.021261991840118285 .................
[CV]  c1=0.07680162052811325, c2=0.021261991840118285, score=0.833227 -   1.5s
[CV] c1=1.0423258734020653, c2=0.015459587003558043 ..................
[CV]  c1=1.0423258734020653, c2=0.015459587003558043, score=0.628840 -   1.1s
[CV] c1=0.01761188324619833, c2=0.051074407149021644 .................
[CV]  c1=0.01761188324619833, c2=0.051074407149021644, score=0.870329 -   1.2s
[CV] c1=0.4927862317556756, c2=0.004750552617042051 ..................
[CV]  c1=0.4927862317556756, c2=0.004750552617042051, score=0.810954 -   1.3s
[CV] c1=1.0604752223915281, c2=0.02887812902319911 ...................
[CV]  c1=1.0604752223915281, c2=0.02887812902319911, score=0.653398 -   1.4s
[CV] c1=0.2220479462304227, c2=0.03960829071351463 ...................
[CV]  c1=0.2220479462304227, c2=0.03960829071351463, score=0.911855 -   1.3s
[CV] c1=0.5181554681647207, c2=0.01803786299851891 ...................
[CV]  c1=0.5181554681647207, c2=0.01803786299851891, score=0.666662 -   1.2s
[CV] c1=0.2027894660714455, c2=0.013518799309188144 ..................
[CV]  c1=0.2027894660714455, c2=0.013518799309188144, score=0.826867 -   1.4s
[CV] c1=0.06620546079379015, c2=0.12022411818008552 ..................
[CV]  c1=0.06620546079379015, c2=0.12022411818008552, score=0.837876 -   1.4s
[CV] c1=0.1576853160344991, c2=0.010486759298573978 ..................
[CV]  c1=0.1576853160344991, c2=0.010486759298573978, score=0.812785 -   1.5s
[CV] c1=2.2381840771120545, c2=0.02079370479151081 ...................
[CV]  c1=2.2381840771120545, c2=0.02079370479151081, score=0.630557 -   1.4s
[CV] c1=0.6838666441224145, c2=0.1070649522342581 ....................
[CV]  c1=0.6838666441224145, c2=0.1070649522342581, score=0.698638 -   1.5s
[CV] c1=0.681352518370928, c2=0.08511080173633266 ....................
[CV]  c1=0.681352518370928, c2=0.08511080173633266, score=0.844432 -   1.4s
[CV] c1=0.616818339845471, c2=0.002163519452545441 ...................
[CV]  c1=0.616818339845471, c2=0.002163519452545441, score=0.820794 -   1.4s
[CV] c1=0.616830183903925, c2=0.025884005340070078 ...................
[CV]  c1=0.616830183903925, c2=0.025884005340070078, score=0.808049 -   1.4s
[CV] c1=0.5426141861407018, c2=0.0022148922179213936 .................
[CV]  c1=0.5426141861407018, c2=0.0022148922179213936, score=0.875221 -   1.4s
[CV] c1=0.22590866626829084, c2=0.0021161480240501763 ................
[CV]  c1=0.22590866626829084, c2=0.0021161480240501763, score=0.814976 -   1.4s
[CV] c1=0.12234039735025266, c2=0.02436111342358252 ..................
[CV]  c1=0.12234039735025266, c2=0.02436111342358252, score=0.901998 -   1.4s
[CV] c1=0.19677143693982344, c2=0.15650576054139118 ..................
[CV]  c1=0.19677143693982344, c2=0.15650576054139118, score=0.861969 -   1.4s
[CV] c1=0.24962930604581862, c2=0.014994346638809409 .................
[CV]  c1=0.24962930604581862, c2=0.014994346638809409, score=0.797532 -   1.4s
[CV] c1=0.8256968343633158, c2=0.009884695976214867 ..................
[CV]  c1=0.8256968343633158, c2=0.009884695976214867, score=0.661065 -   1.1s
[CV] c1=0.7942230525242322, c2=0.10077173488168063 ...................
[CV]  c1=0.7942230525242322, c2=0.10077173488168063, score=0.790451 -   1.3s
[CV] c1=0.6475687301987264, c2=0.049802323814466476 ..................
[CV]  c1=0.6475687301987264, c2=0.049802323814466476, score=0.653700 -   1.1s
[CV] c1=0.331371909424034, c2=0.07297497540912815 ....................
[CV]  c1=0.331371909424034, c2=0.07297497540912815, score=0.762680 -   1.5s
[CV] c1=0.681352518370928, c2=0.08511080173633266 ....................
[CV]  c1=0.681352518370928, c2=0.08511080173633266, score=0.771069 -   1.4s
[CV] c1=0.4371891162042021, c2=0.037167862678429815 ..................
[CV]  c1=0.4371891162042021, c2=0.037167862678429815, score=0.815311 -   1.4s
[CV] c1=0.31182361922866664, c2=0.07760641152703096 ..................
[CV]  c1=0.31182361922866664, c2=0.07760641152703096, score=0.756165 -   1.4s
[CV] c1=2.473583480180359, c2=0.04960788253103776 ....................
[CV]  c1=2.473583480180359, c2=0.04960788253103776, score=0.757757 -   1.4s
[CV] c1=0.07445799172339314, c2=0.011744732343682809 .................
[CV]  c1=0.07445799172339314, c2=0.011744732343682809, score=0.827084 -   1.4s
[CV] c1=0.07214456037112513, c2=0.01058507179998374 ..................
[CV]  c1=0.07214456037112513, c2=0.01058507179998374, score=0.878805 -   1.4s
[CV] c1=0.08050424020969939, c2=0.03215022068952954 ..................
[CV]  c1=0.08050424020969939, c2=0.03215022068952954, score=0.831600 -   1.4s
[CV] c1=0.07965358661448751, c2=0.07129863497523192 ..................
[CV]  c1=0.07965358661448751, c2=0.07129863497523192, score=0.781398 -   1.4s
[CV] c1=0.1520361110771088, c2=0.026470115917422578 ..................
[CV]  c1=0.1520361110771088, c2=0.026470115917422578, score=0.820676 -   1.4s
[CV] c1=1.0733542308883253, c2=0.018196224170132856 ..................
[CV]  c1=1.0733542308883253, c2=0.018196224170132856, score=0.766790 -   1.3s
[CV] c1=2.313959139390585, c2=0.03526766432865046 ....................
[CV]  c1=2.313959139390585, c2=0.03526766432865046, score=0.608089 -   1.3s
[CV] c1=0.25403850111079396, c2=0.02090068514146386 ..................
[CV]  c1=0.25403850111079396, c2=0.02090068514146386, score=0.824409 -   1.3s
[CV] c1=0.031719901470615465, c2=0.21951118896798216 .................
[CV]  c1=0.031719901470615465, c2=0.21951118896798216, score=0.704655 -   1.1s
[CV] c1=1.0423258734020653, c2=0.015459587003558043 ..................
[CV]  c1=1.0423258734020653, c2=0.015459587003558043, score=0.648340 -   1.3s
[CV] c1=1.3849488366926788, c2=0.03453509225094454 ...................
[CV]  c1=1.3849488366926788, c2=0.03453509225094454, score=0.618420 -   1.4s
[CV] c1=0.2713011457150332, c2=0.009775796749247403 ..................
[CV]  c1=0.2713011457150332, c2=0.009775796749247403, score=0.803615 -   1.4s
[CV] c1=0.28098038302827905, c2=0.10939478253696872 ..................
[CV]  c1=0.28098038302827905, c2=0.10939478253696872, score=0.882794 -   1.4s
[CV] c1=0.1707413456699256, c2=5.340721912180764e-05 .................
[CV]  c1=0.1707413456699256, c2=5.340721912180764e-05, score=0.719496 -   1.1s
[CV] c1=0.19677143693982344, c2=0.15650576054139118 ..................
[CV]  c1=0.19677143693982344, c2=0.15650576054139118, score=0.762680 -   1.4s
[CV] c1=0.07965358661448751, c2=0.07129863497523192 ..................
[CV]  c1=0.07965358661448751, c2=0.07129863497523192, score=0.873229 -   1.3s
[CV] c1=0.8256968343633158, c2=0.009884695976214867 ..................
[CV]  c1=0.8256968343633158, c2=0.009884695976214867, score=0.852075 -   1.3s
[CV] c1=1.6780310413375448, c2=0.04833013508280823 ...................
[CV]  c1=1.6780310413375448, c2=0.04833013508280823, score=0.544030 -   1.4s
[CV] c1=0.07444603633741458, c2=0.009821887613650904 .................
[CV]  c1=0.07444603633741458, c2=0.009821887613650904, score=0.843474 -   1.3s
[CV] c1=1.119627918800199, c2=0.10260105243661549 ....................
[CV]  c1=1.119627918800199, c2=0.10260105243661549, score=0.571706 -   1.0s
[CV] c1=0.07680162052811325, c2=0.021261991840118285 .................
[CV]  c1=0.07680162052811325, c2=0.021261991840118285, score=0.848620 -   1.3s
[CV] c1=0.4371891162042021, c2=0.037167862678429815 ..................
[CV]  c1=0.4371891162042021, c2=0.037167862678429815, score=0.747586 -   1.6s
[CV] c1=1.3849488366926788, c2=0.03453509225094454 ...................
[CV]  c1=1.3849488366926788, c2=0.03453509225094454, score=0.557647 -   1.1s
[CV] c1=0.7861203447983542, c2=0.10745142252092332 ...................
[CV]  c1=0.7861203447983542, c2=0.10745142252092332, score=0.790451 -   1.3s
[CV] c1=0.48495710259161257, c2=0.06766522494746836 ..................
[CV]  c1=0.48495710259161257, c2=0.06766522494746836, score=0.799686 -   1.3s
[CV] c1=0.12234039735025266, c2=0.02436111342358252 ..................
[CV]  c1=0.12234039735025266, c2=0.02436111342358252, score=0.820676 -   1.3s
[CV] c1=0.05434814950994315, c2=0.0017021729110582454 ................
[CV]  c1=0.05434814950994315, c2=0.0017021729110582454, score=0.686494 -   1.1s
[CV] c1=0.007765677993705307, c2=0.08978430402828035 .................
[CV]  c1=0.007765677993705307, c2=0.08978430402828035, score=0.775025 -   1.4s
[CV] c1=0.1789807653112737, c2=0.00936786674615304 ...................
[CV]  c1=0.1789807653112737, c2=0.00936786674615304, score=0.819015 -   1.4s
[CV] c1=0.7942230525242322, c2=0.10077173488168063 ...................
[CV]  c1=0.7942230525242322, c2=0.10077173488168063, score=0.861293 -   1.4s
[CV] c1=0.6475687301987264, c2=0.049802323814466476 ..................
[CV]  c1=0.6475687301987264, c2=0.049802323814466476, score=0.719438 -   1.4s
[CV] c1=0.8583366875239203, c2=0.05214271366626538 ...................
[CV]  c1=0.8583366875239203, c2=0.05214271366626538, score=0.626785 -   1.4s
[CV] c1=0.3399090421851692, c2=0.037042279089473266 ..................
[CV]  c1=0.3399090421851692, c2=0.037042279089473266, score=0.774283 -   1.4s
[CV] c1=1.0423258734020653, c2=0.015459587003558043 ..................
[CV]  c1=1.0423258734020653, c2=0.015459587003558043, score=0.583593 -   1.3s
[CV] c1=0.12464851698358835, c2=0.008091497430481348 .................
[CV]  c1=0.12464851698358835, c2=0.008091497430481348, score=0.799825 -   1.3s
[CV] c1=1.4545632522619, c2=0.047519515691738026 .....................
[CV]  c1=1.4545632522619, c2=0.047519515691738026, score=0.600741 -   1.3s
[CV] c1=0.630347836156815, c2=0.002675877325528379 ...................
[CV]  c1=0.630347836156815, c2=0.002675877325528379, score=0.793396 -   1.3s
[CV] c1=1.1657881789876017, c2=0.08388035736369269 ...................
[CV]  c1=1.1657881789876017, c2=0.08388035736369269, score=0.644096 -   1.5s
[CV] c1=1.21557172947825, c2=0.02377580476792795 .....................
[CV]  c1=1.21557172947825, c2=0.02377580476792795, score=0.631080 -   1.4s
[CV] c1=0.21385544707021695, c2=0.022043570342049987 .................
[CV]  c1=0.21385544707021695, c2=0.022043570342049987, score=0.811645 -   1.5s
[CV] c1=0.41988052161414813, c2=0.10276395857056371 ..................
[CV]  c1=0.41988052161414813, c2=0.10276395857056371, score=0.812316 -   1.4s
[CV] c1=0.7942230525242322, c2=0.10077173488168063 ...................
[CV]  c1=0.7942230525242322, c2=0.10077173488168063, score=0.662969 -   1.5s
[CV] c1=0.08916625213863132, c2=0.029559035689550036 .................
[CV]  c1=0.08916625213863132, c2=0.029559035689550036, score=0.827656 -   1.4s
[CV] c1=0.0003733475655639723, c2=0.03884728726767374 ................
[CV]  c1=0.0003733475655639723, c2=0.03884728726767374, score=0.846201 -   1.3s
[CV] c1=0.3399090421851692, c2=0.037042279089473266 ..................
[CV]  c1=0.3399090421851692, c2=0.037042279089473266, score=0.830804 -   1.4s
[CV] c1=0.5334613446023213, c2=0.03077294459292836 ...................
[CV]  c1=0.5334613446023213, c2=0.03077294459292836, score=0.880957 -   1.3s
[CV] c1=0.462113200130967, c2=0.002529290328014463 ...................
[CV]  c1=0.462113200130967, c2=0.002529290328014463, score=0.882928 -   1.2s
[CV] c1=1.4545632522619, c2=0.047519515691738026 .....................
[CV]  c1=1.4545632522619, c2=0.047519515691738026, score=0.557647 -   1.0s
[CV] c1=1.0604752223915281, c2=0.02887812902319911 ...................
[CV]  c1=1.0604752223915281, c2=0.02887812902319911, score=0.766790 -   1.3s
[CV] c1=0.27407078110271815, c2=0.005866643096599482 .................
[CV]  c1=0.27407078110271815, c2=0.005866643096599482, score=0.727634 -   1.0s
[CV] c1=0.07214456037112513, c2=0.01058507179998374 ..................
[CV]  c1=0.07214456037112513, c2=0.01058507179998374, score=0.784885 -   1.5s
[CV] c1=0.08239711852434824, c2=0.020847399417472573 .................
[CV]  c1=0.08239711852434824, c2=0.020847399417472573, score=0.839586 -   1.4s
[CV] c1=0.29501574340354947, c2=0.006117919508845196 .................
[CV]  c1=0.29501574340354947, c2=0.006117919508845196, score=0.808864 -   1.5s
[CV] c1=0.1576853160344991, c2=0.010486759298573978 ..................
[CV]  c1=0.1576853160344991, c2=0.010486759298573978, score=0.677092 -   1.1s
[CV] c1=1.0733542308883253, c2=0.018196224170132856 ..................
[CV]  c1=1.0733542308883253, c2=0.018196224170132856, score=0.847219 -   1.3s
[CV] c1=2.313959139390585, c2=0.03526766432865046 ....................
[CV]  c1=2.313959139390585, c2=0.03526766432865046, score=0.484027 -   1.1s
[CV] c1=0.0003733475655639723, c2=0.03884728726767374 ................
[CV]  c1=0.0003733475655639723, c2=0.03884728726767374, score=0.819028 -   1.5s
[CV] c1=0.031719901470615465, c2=0.21951118896798216 .................
[CV]  c1=0.031719901470615465, c2=0.21951118896798216, score=0.863837 -   1.4s
[CV] c1=0.9168371588007677, c2=0.05407189292506224 ...................
[CV]  c1=0.9168371588007677, c2=0.05407189292506224, score=0.856227 -   1.2s
[CV] c1=0.025685796629576176, c2=0.12710731284990598 .................
[CV]  c1=0.025685796629576176, c2=0.12710731284990598, score=0.713176 -   0.8s
[CV] c1=0.50812051895535, c2=0.009074834448447703 ....................
[CV]  c1=0.50812051895535, c2=0.009074834448447703, score=0.886892 -   1.4s
[CV] c1=0.3760485552002209, c2=0.02042169444828 ......................
[CV]  c1=0.3760485552002209, c2=0.02042169444828, score=0.671603 -   1.2s
[CV] c1=0.31177923009771913, c2=0.022972756681005548 .................
[CV]  c1=0.31177923009771913, c2=0.022972756681005548, score=0.687046 -   1.1s
[CV] c1=1.3139615220072824, c2=0.06449082906117483 ...................
[CV]  c1=1.3139615220072824, c2=0.06449082906117483, score=0.788378 -   1.4s
[CV] c1=0.19677143693982344, c2=0.15650576054139118 ..................
[CV]  c1=0.19677143693982344, c2=0.15650576054139118, score=0.666348 -   1.2s
[CV] c1=0.04214387543488536, c2=0.09734929820650334 ..................
[CV]  c1=0.04214387543488536, c2=0.09734929820650334, score=0.846348 -   1.4s
[CV] c1=0.41988052161414813, c2=0.10276395857056371 ..................
[CV]  c1=0.41988052161414813, c2=0.10276395857056371, score=0.800656 -   1.4s
[CV] c1=1.6780310413375448, c2=0.04833013508280823 ...................
[CV]  c1=1.6780310413375448, c2=0.04833013508280823, score=0.772710 -   1.4s
[CV] c1=0.08916625213863132, c2=0.029559035689550036 .................
[CV]  c1=0.08916625213863132, c2=0.029559035689550036, score=0.848620 -   1.3s
[CV] c1=0.0003733475655639723, c2=0.03884728726767374 ................
[CV]  c1=0.0003733475655639723, c2=0.03884728726767374, score=0.832749 -   1.4s
[CV] c1=0.3399090421851692, c2=0.037042279089473266 ..................
[CV]  c1=0.3399090421851692, c2=0.037042279089473266, score=0.808814 -   1.5s
[CV] c1=0.5334613446023213, c2=0.03077294459292836 ...................
[CV]  c1=0.5334613446023213, c2=0.03077294459292836, score=0.787109 -   1.3s
[CV] c1=0.31182361922866664, c2=0.07760641152703096 ..................
[CV]  c1=0.31182361922866664, c2=0.07760641152703096, score=0.887716 -   1.4s
[CV] c1=0.7861203447983542, c2=0.10745142252092332 ...................
[CV]  c1=0.7861203447983542, c2=0.10745142252092332, score=0.678884 -   1.3s
[CV] c1=0.48495710259161257, c2=0.06766522494746836 ..................
[CV]  c1=0.48495710259161257, c2=0.06766522494746836, score=0.806801 -   1.4s
[CV] c1=1.3139615220072824, c2=0.06449082906117483 ...................
[CV]  c1=1.3139615220072824, c2=0.06449082906117483, score=0.625244 -   1.4s
[CV] c1=0.08050424020969939, c2=0.03215022068952954 ..................
[CV]  c1=0.08050424020969939, c2=0.03215022068952954, score=0.868548 -   1.4s
[CV] c1=0.07965358661448751, c2=0.07129863497523192 ..................
[CV]  c1=0.07965358661448751, c2=0.07129863497523192, score=0.799623 -   1.4s
[CV] c1=0.8256968343633158, c2=0.009884695976214867 ..................
[CV]  c1=0.8256968343633158, c2=0.009884695976214867, score=0.743300 -   1.5s
[CV] c1=1.0733542308883253, c2=0.018196224170132856 ..................
[CV]  c1=1.0733542308883253, c2=0.018196224170132856, score=0.581748 -   1.4s
[CV] c1=0.3763437391829335, c2=0.02115742362106385 ...................
[CV]  c1=0.3763437391829335, c2=0.02115742362106385, score=0.777424 -   1.5s
[CV] c1=0.13207361559093822, c2=0.018981449938947674 .................
[CV]  c1=0.13207361559093822, c2=0.018981449938947674, score=0.872621 -   1.4s
[CV] c1=0.3769446323732297, c2=0.02281196240512783 ...................
[CV]  c1=0.3769446323732297, c2=0.02281196240512783, score=0.688381 -   1.1s
[CV] c1=0.12411122886834128, c2=0.029571217831786917 .................
[CV]  c1=0.12411122886834128, c2=0.029571217831786917, score=0.674247 -   1.0s
[CV] c1=0.12464851698358835, c2=0.008091497430481348 .................
[CV]  c1=0.12464851698358835, c2=0.008091497430481348, score=0.883703 -   1.1s
[CV] c1=0.4927862317556756, c2=0.004750552617042051 ..................
[CV]  c1=0.4927862317556756, c2=0.004750552617042051, score=0.797902 -   1.4s
[CV] c1=1.0604752223915281, c2=0.02887812902319911 ...................
[CV]  c1=1.0604752223915281, c2=0.02887812902319911, score=0.576868 -   1.4s
[CV] c1=0.2220479462304227, c2=0.03960829071351463 ...................
[CV]  c1=0.2220479462304227, c2=0.03960829071351463, score=0.668577 -   1.1s
[CV] c1=1.364072213767297, c2=0.06825209774528389 ....................
[CV]  c1=1.364072213767297, c2=0.06825209774528389, score=0.625244 -   1.4s
[CV] c1=0.2027894660714455, c2=0.013518799309188144 ..................
[CV]  c1=0.2027894660714455, c2=0.013518799309188144, score=0.808814 -   1.4s
[CV] c1=0.5452597531005653, c2=0.008860669944847733 ..................
[CV]  c1=0.5452597531005653, c2=0.008860669944847733, score=0.872985 -   1.3s
[CV] c1=0.1576853160344991, c2=0.010486759298573978 ..................
[CV]  c1=0.1576853160344991, c2=0.010486759298573978, score=0.849063 -   1.2s
[CV] c1=0.7721906346470812, c2=0.1267484628299916 ....................
[CV]  c1=0.7721906346470812, c2=0.1267484628299916, score=0.858504 -   1.2s
[CV] c1=2.313959139390585, c2=0.03526766432865046 ....................
[CV]  c1=2.313959139390585, c2=0.03526766432865046, score=0.515229 -   1.4s
[CV] c1=0.45249773274524197, c2=0.047639321051957444 .................
[CV]  c1=0.45249773274524197, c2=0.047639321051957444, score=0.663495 -   1.1s
[CV] c1=0.4592635931513281, c2=0.03624513886473813 ...................
[CV]  c1=0.4592635931513281, c2=0.03624513886473813, score=0.800707 -   1.4s
[CV] c1=0.9168371588007677, c2=0.05407189292506224 ...................
[CV]  c1=0.9168371588007677, c2=0.05407189292506224, score=0.773935 -   1.2s
[CV] c1=1.3849488366926788, c2=0.03453509225094454 ...................
[CV]  c1=1.3849488366926788, c2=0.03453509225094454, score=0.719433 -   1.3s
[CV] c1=0.2713011457150332, c2=0.009775796749247403 ..................
[CV]  c1=0.2713011457150332, c2=0.009775796749247403, score=0.832073 -   1.3s
[CV] c1=0.31177923009771913, c2=0.022972756681005548 .................
[CV]  c1=0.31177923009771913, c2=0.022972756681005548, score=0.825656 -   1.3s
[CV] c1=0.07214456037112513, c2=0.01058507179998374 ..................
[CV]  c1=0.07214456037112513, c2=0.01058507179998374, score=0.847968 -   1.3s
[CV] c1=0.08050424020969939, c2=0.03215022068952954 ..................
[CV]  c1=0.08050424020969939, c2=0.03215022068952954, score=0.842181 -   1.3s
[CV] c1=0.07965358661448751, c2=0.07129863497523192 ..................
[CV]  c1=0.07965358661448751, c2=0.07129863497523192, score=0.684501 -   1.1s
[CV] c1=0.41988052161414813, c2=0.10276395857056371 ..................
[CV]  c1=0.41988052161414813, c2=0.10276395857056371, score=0.741322 -   1.7s
[CV] c1=0.5892432782778401, c2=0.1196587404345205 ....................
[CV]  c1=0.5892432782778401, c2=0.1196587404345205, score=0.779867 -   1.3s
[CV] c1=0.07444603633741458, c2=0.009821887613650904 .................
[CV]  c1=0.07444603633741458, c2=0.009821887613650904, score=0.814302 -   1.4s
[CV] c1=0.25403850111079396, c2=0.02090068514146386 ..................
[CV]  c1=0.25403850111079396, c2=0.02090068514146386, score=0.711460 -   1.2s
[CV] c1=0.4592635931513281, c2=0.03624513886473813 ...................
[CV]  c1=0.4592635931513281, c2=0.03624513886473813, score=0.877637 -   1.4s
[CV] c1=0.5334613446023213, c2=0.03077294459292836 ...................
[CV]  c1=0.5334613446023213, c2=0.03077294459292836, score=0.745311 -   1.3s
[CV] c1=0.025685796629576176, c2=0.12710731284990598 .................
[CV]  c1=0.025685796629576176, c2=0.12710731284990598, score=0.775025 -   1.2s
[CV] c1=0.4927862317556756, c2=0.004750552617042051 ..................
[CV]  c1=0.4927862317556756, c2=0.004750552617042051, score=0.765965 -   1.5s
[CV] c1=0.2499598209307591, c2=0.03447247059168856 ...................
[CV]  c1=0.2499598209307591, c2=0.03447247059168856, score=0.815346 -   1.5s
[CV] c1=1.1657881789876017, c2=0.08388035736369269 ...................
[CV]  c1=1.1657881789876017, c2=0.08388035736369269, score=0.759497 -   1.4s
[CV] c1=1.2176859837307423, c2=0.0066221461424451275 .................
[CV]  c1=1.2176859837307423, c2=0.0066221461424451275, score=0.562055 -   1.4s
[CV] c1=0.21385544707021695, c2=0.022043570342049987 .................
[CV]  c1=0.21385544707021695, c2=0.022043570342049987, score=0.798782 -   1.4s
[CV] c1=0.1789807653112737, c2=0.00936786674615304 ...................
[CV]  c1=0.1789807653112737, c2=0.00936786674615304, score=0.802720 -   1.5s
[CV] c1=0.7942230525242322, c2=0.10077173488168063 ...................
[CV]  c1=0.7942230525242322, c2=0.10077173488168063, score=0.678884 -   1.4s
[CV] c1=0.6475687301987264, c2=0.049802323814466476 ..................
[CV]  c1=0.6475687301987264, c2=0.049802323814466476, score=0.776194 -   1.6s
[CV] c1=1.119627918800199, c2=0.10260105243661549 ....................
[CV]  c1=1.119627918800199, c2=0.10260105243661549, score=0.807126 -   1.4s
[CV] c1=0.4592635931513281, c2=0.03624513886473813 ...................
[CV]  c1=0.4592635931513281, c2=0.03624513886473813, score=0.765002 -   1.5s
[CV] c1=0.9168371588007677, c2=0.05407189292506224 ...................
[CV]  c1=0.9168371588007677, c2=0.05407189292506224, score=0.644096 -   1.2s
[CV] c1=0.01761188324619833, c2=0.051074407149021644 .................
[CV]  c1=0.01761188324619833, c2=0.051074407149021644, score=0.691186 -   1.0s
[CV] c1=0.50812051895535, c2=0.009074834448447703 ....................
[CV]  c1=0.50812051895535, c2=0.009074834448447703, score=0.743118 -   1.4s
[CV] c1=0.3760485552002209, c2=0.02042169444828 ......................
[CV]  c1=0.3760485552002209, c2=0.02042169444828, score=0.836086 -   1.4s
[CV] c1=0.28098038302827905, c2=0.10939478253696872 ..................
[CV]  c1=0.28098038302827905, c2=0.10939478253696872, score=0.819201 -   1.3s
[CV] c1=0.1707413456699256, c2=5.340721912180764e-05 .................
[CV]  c1=0.1707413456699256, c2=5.340721912180764e-05, score=0.824729 -   1.4s
[CV] c1=0.08239711852434824, c2=0.020847399417472573 .................
[CV]  c1=0.08239711852434824, c2=0.020847399417472573, score=0.857745 -   1.3s
[CV] c1=0.29501574340354947, c2=0.006117919508845196 .................
[CV]  c1=0.29501574340354947, c2=0.006117919508845196, score=0.839358 -   1.3s
[CV] c1=0.1520361110771088, c2=0.026470115917422578 ..................
[CV]  c1=0.1520361110771088, c2=0.026470115917422578, score=0.854407 -   1.4s
[CV] c1=1.0733542308883253, c2=0.018196224170132856 ..................
[CV]  c1=1.0733542308883253, c2=0.018196224170132856, score=0.644096 -   1.4s
[CV] c1=0.3763437391829335, c2=0.02115742362106385 ...................
[CV]  c1=0.3763437391829335, c2=0.02115742362106385, score=0.891815 -   1.4s
[CV] c1=0.45249773274524197, c2=0.047639321051957444 .................
[CV]  c1=0.45249773274524197, c2=0.047639321051957444, score=0.882798 -   1.4s
[CV] c1=0.9841136874431049, c2=0.006510894023156151 ..................
[CV]  c1=0.9841136874431049, c2=0.006510894023156151, score=0.856227 -   1.4s
[CV] c1=0.12411122886834128, c2=0.029571217831786917 .................
[CV]  c1=0.12411122886834128, c2=0.029571217831786917, score=0.877231 -   1.2s
[CV] c1=0.47589217301064746, c2=0.011680717674310802 .................
[CV]  c1=0.47589217301064746, c2=0.011680717674310802, score=0.789104 -   1.4s
[CV] c1=0.2713011457150332, c2=0.009775796749247403 ..................
[CV]  c1=0.2713011457150332, c2=0.009775796749247403, score=0.817659 -   1.3s
[CV] c1=0.31177923009771913, c2=0.022972756681005548 .................
[CV]  c1=0.31177923009771913, c2=0.022972756681005548, score=0.891554 -   1.3s
[CV] c1=0.07214456037112513, c2=0.01058507179998374 ..................
[CV]  c1=0.07214456037112513, c2=0.01058507179998374, score=0.669239 -   1.1s
[CV] c1=0.05434814950994315, c2=0.0017021729110582454 ................
[CV]  c1=0.05434814950994315, c2=0.0017021729110582454, score=0.775960 -   1.4s
[CV] c1=0.24962930604581862, c2=0.014994346638809409 .................
[CV]  c1=0.24962930604581862, c2=0.014994346638809409, score=0.822286 -   1.3s
[CV] c1=0.14233861571223633, c2=0.06649071792549008 ..................
[CV]  c1=0.14233861571223633, c2=0.06649071792549008, score=0.801470 -   1.4s
[CV] c1=1.6780310413375448, c2=0.04833013508280823 ...................
[CV]  c1=1.6780310413375448, c2=0.04833013508280823, score=0.705037 -   1.4s
[CV] c1=0.08916625213863132, c2=0.029559035689550036 .................
[CV]  c1=0.08916625213863132, c2=0.029559035689550036, score=0.814302 -   1.4s
[CV] c1=1.119627918800199, c2=0.10260105243661549 ....................
[CV]  c1=1.119627918800199, c2=0.10260105243661549, score=0.644096 -   1.4s
[CV] c1=0.031719901470615465, c2=0.21951118896798216 .................
[CV]  c1=0.031719901470615465, c2=0.21951118896798216, score=0.771259 -   1.4s
[CV] c1=0.9168371588007677, c2=0.05407189292506224 ...................
[CV]  c1=0.9168371588007677, c2=0.05407189292506224, score=0.583593 -   1.2s
[CV] c1=0.462113200130967, c2=0.002529290328014463 ...................
[CV]  c1=0.462113200130967, c2=0.002529290328014463, score=0.680736 -   1.1s
[CV] c1=1.4545632522619, c2=0.047519515691738026 .....................
[CV]  c1=1.4545632522619, c2=0.047519515691738026, score=0.795328 -   1.3s
[CV] c1=0.630347836156815, c2=0.002675877325528379 ...................
[CV]  c1=0.630347836156815, c2=0.002675877325528379, score=0.866703 -   1.4s
[CV] c1=1.1657881789876017, c2=0.08388035736369269 ...................
[CV]  c1=1.1657881789876017, c2=0.08388035736369269, score=0.571706 -   1.1s
[CV] c1=0.5181554681647207, c2=0.01803786299851891 ...................
[CV]  c1=0.5181554681647207, c2=0.01803786299851891, score=0.757615 -   1.4s
[CV] c1=0.48415820358399964, c2=0.0008695051355364681 ................
[CV]  c1=0.48415820358399964, c2=0.0008695051355364681, score=0.784815 -   1.5s
[CV] c1=0.027134823945859154, c2=0.01535706718451195 .................
[CV]  c1=0.027134823945859154, c2=0.01535706718451195, score=0.686095 -   1.1s
[CV] c1=0.8095646223616527, c2=0.005400115331419777 ..................
[CV]  c1=0.8095646223616527, c2=0.005400115331419777, score=0.842155 -   1.4s
[CV] c1=2.2381840771120545, c2=0.02079370479151081 ...................
[CV]  c1=2.2381840771120545, c2=0.02079370479151081, score=0.490546 -   1.1s
[CV] c1=0.3763437391829335, c2=0.02115742362106385 ...................
[CV]  c1=0.3763437391829335, c2=0.02115742362106385, score=0.687046 -   1.1s
[CV] c1=0.25403850111079396, c2=0.02090068514146386 ..................
[CV]  c1=0.25403850111079396, c2=0.02090068514146386, score=0.899324 -   1.4s
[CV] c1=0.031719901470615465, c2=0.21951118896798216 .................
[CV]  c1=0.031719901470615465, c2=0.21951118896798216, score=0.767327 -   1.5s
[CV] c1=0.12411122886834128, c2=0.029571217831786917 .................
[CV]  c1=0.12411122886834128, c2=0.029571217831786917, score=0.817664 -   1.1s
[CV] c1=0.462113200130967, c2=0.002529290328014463 ...................
[CV]  c1=0.462113200130967, c2=0.002529290328014463, score=0.824149 -   1.3s
[CV] c1=0.5426141861407018, c2=0.0022148922179213936 .................
[CV]  c1=0.5426141861407018, c2=0.0022148922179213936, score=0.763305 -   1.4s
[CV] c1=0.48495710259161257, c2=0.06766522494746836 ..................
[CV]  c1=0.48495710259161257, c2=0.06766522494746836, score=0.872141 -   1.3s
[CV] c1=0.12234039735025266, c2=0.02436111342358252 ..................
[CV]  c1=0.12234039735025266, c2=0.02436111342358252, score=0.677092 -   1.1s
[CV] c1=1.2176859837307423, c2=0.0066221461424451275 .................
[CV]  c1=1.2176859837307423, c2=0.0066221461424451275, score=0.766790 -   1.3s
[CV] c1=0.007765677993705307, c2=0.08978430402828035 .................
[CV]  c1=0.007765677993705307, c2=0.08978430402828035, score=0.839292 -   1.4s
[CV] c1=0.027134823945859154, c2=0.01535706718451195 .................
[CV]  c1=0.027134823945859154, c2=0.01535706718451195, score=0.785099 -   1.4s
[CV] c1=0.4390450271570005, c2=0.029129717606911288 ..................
[CV]  c1=0.4390450271570005, c2=0.029129717606911288, score=0.680736 -   1.1s
[CV] c1=2.2381840771120545, c2=0.02079370479151081 ...................
[CV]  c1=2.2381840771120545, c2=0.02079370479151081, score=0.515229 -   1.3s
[CV] c1=0.21136321242907646, c2=0.08239564211320916 ..................
[CV]  c1=0.21136321242907646, c2=0.08239564211320916, score=0.836237 -   1.3s
[CV] c1=0.13207361559093822, c2=0.018981449938947674 .................
[CV]  c1=0.13207361559093822, c2=0.018981449938947674, score=0.826444 -   1.3s
[CV] c1=0.3769446323732297, c2=0.02281196240512783 ...................
[CV]  c1=0.3769446323732297, c2=0.02281196240512783, score=0.833208 -   1.3s
[CV] c1=0.1636030948982193, c2=0.07010115545933623 ...................
[CV]  c1=0.1636030948982193, c2=0.07010115545933623, score=0.666178 -   1.0s
[CV] c1=0.47589217301064746, c2=0.011680717674310802 .................
[CV]  c1=0.47589217301064746, c2=0.011680717674310802, score=0.751981 -   1.4s
[CV] c1=2.473583480180359, c2=0.04960788253103776 ....................
[CV]  c1=2.473583480180359, c2=0.04960788253103776, score=0.576834 -   1.3s
[CV] c1=0.07445799172339314, c2=0.011744732343682809 .................
[CV]  c1=0.07445799172339314, c2=0.011744732343682809, score=0.854407 -   1.3s
[CV] c1=1.3139615220072824, c2=0.06449082906117483 ...................
[CV]  c1=1.3139615220072824, c2=0.06449082906117483, score=0.544789 -   1.3s
[CV] c1=0.19677143693982344, c2=0.15650576054139118 ..................
[CV]  c1=0.19677143693982344, c2=0.15650576054139118, score=0.778578 -   1.4s
[CV] c1=0.07965358661448751, c2=0.07129863497523192 ..................
[CV]  c1=0.07965358661448751, c2=0.07129863497523192, score=0.848620 -   1.3s
[CV] c1=0.8256968343633158, c2=0.009884695976214867 ..................
[CV]  c1=0.8256968343633158, c2=0.009884695976214867, score=0.692370 -   1.4s
[CV] c1=0.5892432782778401, c2=0.1196587404345205 ....................
[CV]  c1=0.5892432782778401, c2=0.1196587404345205, score=0.725624 -   1.4s
[CV] c1=2.313959139390585, c2=0.03526766432865046 ....................
[CV]  c1=2.313959139390585, c2=0.03526766432865046, score=0.764626 -   1.4s
[CV] c1=0.25403850111079396, c2=0.02090068514146386 ..................
[CV]  c1=0.25403850111079396, c2=0.02090068514146386, score=0.817659 -   1.4s
[CV] c1=0.031719901470615465, c2=0.21951118896798216 .................
[CV]  c1=0.031719901470615465, c2=0.21951118896798216, score=0.832668 -   1.3s
[CV] c1=0.5334613446023213, c2=0.03077294459292836 ...................
[CV]  c1=0.5334613446023213, c2=0.03077294459292836, score=0.782960 -   1.4s
[CV] c1=0.025685796629576176, c2=0.12710731284990598 .................
[CV]  c1=0.025685796629576176, c2=0.12710731284990598, score=0.846348 -   1.1s
[CV] c1=0.50812051895535, c2=0.009074834448447703 ....................
[CV]  c1=0.50812051895535, c2=0.009074834448447703, score=0.827552 -   1.4s
[CV] c1=1.0604752223915281, c2=0.02887812902319911 ...................
[CV]  c1=1.0604752223915281, c2=0.02887812902319911, score=0.844025 -   1.4s
[CV] c1=0.27407078110271815, c2=0.005866643096599482 .................
[CV]  c1=0.27407078110271815, c2=0.005866643096599482, score=0.811293 -   1.4s
[CV] c1=1.364072213767297, c2=0.06825209774528389 ....................
[CV]  c1=1.364072213767297, c2=0.06825209774528389, score=0.759497 -   1.3s
[CV] c1=0.2027894660714455, c2=0.013518799309188144 ..................
[CV]  c1=0.2027894660714455, c2=0.013518799309188144, score=0.838195 -   1.3s
[CV] c1=0.06620546079379015, c2=0.12022411818008552 ..................
[CV]  c1=0.06620546079379015, c2=0.12022411818008552, score=0.806161 -   1.5s
[CV] c1=0.8095646223616527, c2=0.005400115331419777 ..................
[CV]  c1=0.8095646223616527, c2=0.005400115331419777, score=0.659513 -   1.1s
[CV] c1=0.7721906346470812, c2=0.1267484628299916 ....................
[CV]  c1=0.7721906346470812, c2=0.1267484628299916, score=0.674542 -   1.4s
[CV] c1=0.3763437391829335, c2=0.02115742362106385 ...................
[CV]  c1=0.3763437391829335, c2=0.02115742362106385, score=0.827402 -   1.3s
[CV] c1=0.45249773274524197, c2=0.047639321051957444 .................
[CV]  c1=0.45249773274524197, c2=0.047639321051957444, score=0.759891 -   1.4s
[CV] c1=0.9841136874431049, c2=0.006510894023156151 ..................
[CV]  c1=0.9841136874431049, c2=0.006510894023156151, score=0.773935 -   1.3s
[CV] c1=0.12411122886834128, c2=0.029571217831786917 .................
[CV]  c1=0.12411122886834128, c2=0.029571217831786917, score=0.854407 -   1.1s
[CV] c1=0.616830183903925, c2=0.025884005340070078 ...................
[CV]  c1=0.616830183903925, c2=0.025884005340070078, score=0.763777 -   1.4s
[CV] c1=0.5426141861407018, c2=0.0022148922179213936 .................
[CV]  c1=0.5426141861407018, c2=0.0022148922179213936, score=0.702544 -   1.1s
[CV] c1=0.630347836156815, c2=0.002675877325528379 ...................
[CV]  c1=0.630347836156815, c2=0.002675877325528379, score=0.689613 -   1.1s
[CV] c1=0.27407078110271815, c2=0.005866643096599482 .................
[CV]  c1=0.27407078110271815, c2=0.005866643096599482, score=0.799915 -   1.3s
[CV] c1=1.364072213767297, c2=0.06825209774528389 ....................
[CV]  c1=1.364072213767297, c2=0.06825209774528389, score=0.544789 -   1.4s
[CV] c1=0.48415820358399964, c2=0.0008695051355364681 ................
[CV]  c1=0.48415820358399964, c2=0.0008695051355364681, score=0.693209 -   1.1s
[CV] c1=0.06620546079379015, c2=0.12022411818008552 ..................
[CV]  c1=0.06620546079379015, c2=0.12022411818008552, score=0.875620 -   1.4s
[CV] c1=0.1576853160344991, c2=0.010486759298573978 ..................
[CV]  c1=0.1576853160344991, c2=0.010486759298573978, score=0.819015 -   1.5s
[CV] c1=2.2381840771120545, c2=0.02079370479151081 ...................
[CV]  c1=2.2381840771120545, c2=0.02079370479151081, score=0.767150 -   1.3s
[CV] c1=0.21136321242907646, c2=0.08239564211320916 ..................
[CV]  c1=0.21136321242907646, c2=0.08239564211320916, score=0.879164 -   1.5s
[CV] c1=0.13207361559093822, c2=0.018981449938947674 .................
[CV]  c1=0.13207361559093822, c2=0.018981449938947674, score=0.809201 -   1.4s
[CV] c1=0.06587167615658332, c2=0.03547367015345498 ..................
[CV]  c1=0.06587167615658332, c2=0.03547367015345498, score=0.662087 -   1.1s
[CV] c1=0.12411122886834128, c2=0.029571217831786917 .................
[CV]  c1=0.12411122886834128, c2=0.029571217831786917, score=0.811645 -   1.1s
[CV] c1=0.01761188324619833, c2=0.051074407149021644 .................
[CV]  c1=0.01761188324619833, c2=0.051074407149021644, score=0.829207 -   1.2s
[CV] c1=0.07116083456184914, c2=0.05160326500269782 ..................
[CV]  c1=0.07116083456184914, c2=0.05160326500269782, score=0.672142 -   1.1s
[CV] c1=0.3760485552002209, c2=0.02042169444828 ......................
[CV]  c1=0.3760485552002209, c2=0.02042169444828, score=0.802720 -   1.5s
[CV] c1=0.27407078110271815, c2=0.005866643096599482 .................
[CV]  c1=0.27407078110271815, c2=0.005866643096599482, score=0.854672 -   1.4s
[CV] c1=0.5181554681647207, c2=0.01803786299851891 ...................
[CV]  c1=0.5181554681647207, c2=0.01803786299851891, score=0.875943 -   1.4s
[CV] c1=0.48415820358399964, c2=0.0008695051355364681 ................
[CV]  c1=0.48415820358399964, c2=0.0008695051355364681, score=0.811373 -   1.3s
[CV] c1=0.5452597531005653, c2=0.008860669944847733 ..................
[CV]  c1=0.5452597531005653, c2=0.008860669944847733, score=0.758529 -   1.5s
[CV] c1=0.9783621776244401, c2=0.0757924900779795 ....................
[CV]  c1=0.9783621776244401, c2=0.0757924900779795, score=0.637293 -   1.1s
[CV] c1=0.7721906346470812, c2=0.1267484628299916 ....................
[CV]  c1=0.7721906346470812, c2=0.1267484628299916, score=0.619399 -   1.5s
[CV] c1=0.21136321242907646, c2=0.08239564211320916 ..................
[CV]  c1=0.21136321242907646, c2=0.08239564211320916, score=0.667683 -   1.1s
[CV] c1=0.45249773274524197, c2=0.047639321051957444 .................
[CV]  c1=0.45249773274524197, c2=0.047639321051957444, score=0.811828 -   1.4s
[CV] c1=0.9841136874431049, c2=0.006510894023156151 ..................
[CV]  c1=0.9841136874431049, c2=0.006510894023156151, score=0.657643 -   1.4s
[CV] c1=0.1636030948982193, c2=0.07010115545933623 ...................
[CV]  c1=0.1636030948982193, c2=0.07010115545933623, score=0.881403 -   1.1s
[CV] c1=0.025685796629576176, c2=0.12710731284990598 .................
[CV]  c1=0.025685796629576176, c2=0.12710731284990598, score=0.810151 -   1.2s
[CV] c1=0.50812051895535, c2=0.009074834448447703 ....................
[CV]  c1=0.50812051895535, c2=0.009074834448447703, score=0.800707 -   1.4s
[CV] c1=1.0604752223915281, c2=0.02887812902319911 ...................
[CV]  c1=1.0604752223915281, c2=0.02887812902319911, score=0.637293 -   1.1s
[CV] c1=0.28098038302827905, c2=0.10939478253696872 ..................
[CV]  c1=0.28098038302827905, c2=0.10939478253696872, score=0.668076 -   1.0s
[CV] c1=1.3139615220072824, c2=0.06449082906117483 ...................
[CV]  c1=1.3139615220072824, c2=0.06449082906117483, score=0.719433 -   1.4s
[CV] c1=0.08050424020969939, c2=0.03215022068952954 ..................
[CV]  c1=0.08050424020969939, c2=0.03215022068952954, score=0.668281 -   1.2s
[CV] c1=0.24962930604581862, c2=0.014994346638809409 .................
[CV]  c1=0.24962930604581862, c2=0.014994346638809409, score=0.899324 -   1.4s
[CV] c1=0.14233861571223633, c2=0.06649071792549008 ..................
[CV]  c1=0.14233861571223633, c2=0.06649071792549008, score=0.842370 -   1.5s
[CV] c1=0.5892432782778401, c2=0.1196587404345205 ....................
[CV]  c1=0.5892432782778401, c2=0.1196587404345205, score=0.803030 -   1.4s
[CV] c1=2.313959139390585, c2=0.03526766432865046 ....................
[CV]  c1=2.313959139390585, c2=0.03526766432865046, score=0.616873 -   1.4s
[CV] c1=0.25403850111079396, c2=0.02090068514146386 ..................
[CV]  c1=0.25403850111079396, c2=0.02090068514146386, score=0.806420 -   1.5s
[CV] c1=0.9841136874431049, c2=0.006510894023156151 ..................
[CV]  c1=0.9841136874431049, c2=0.006510894023156151, score=0.589918 -   1.4s
[CV] c1=0.1636030948982193, c2=0.07010115545933623 ...................
[CV]  c1=0.1636030948982193, c2=0.07010115545933623, score=0.799138 -   1.1s
[CV] c1=0.462113200130967, c2=0.002529290328014463 ...................
[CV]  c1=0.462113200130967, c2=0.002529290328014463, score=0.775692 -   1.4s
[CV] c1=0.7861203447983542, c2=0.10745142252092332 ...................
[CV]  c1=0.7861203447983542, c2=0.10745142252092332, score=0.639235 -   1.1s
[CV] c1=0.22590866626829084, c2=0.0021161480240501763 ................
[CV]  c1=0.22590866626829084, c2=0.0021161480240501763, score=0.909757 -   1.3s
[CV] c1=0.4304666689239332, c2=0.016369964226419034 ..................
[CV]  c1=0.4304666689239332, c2=0.016369964226419034, score=0.693209 -   1.1s
[CV] c1=1.2176859837307423, c2=0.0066221461424451275 .................
[CV]  c1=1.2176859837307423, c2=0.0066221461424451275, score=0.599525 -   1.1s
[CV] c1=0.48415820358399964, c2=0.0008695051355364681 ................
[CV]  c1=0.48415820358399964, c2=0.0008695051355364681, score=0.890990 -   1.4s
[CV] c1=0.5452597531005653, c2=0.008860669944847733 ..................
[CV]  c1=0.5452597531005653, c2=0.008860669944847733, score=0.834540 -   1.3s
[CV] c1=0.8095646223616527, c2=0.005400115331419777 ..................
[CV]  c1=0.8095646223616527, c2=0.005400115331419777, score=0.773935 -   1.3s
[CV] c1=2.2381840771120545, c2=0.02079370479151081 ...................
[CV]  c1=2.2381840771120545, c2=0.02079370479151081, score=0.608089 -   1.4s
[CV] c1=0.21136321242907646, c2=0.08239564211320916 ..................
[CV]  c1=0.21136321242907646, c2=0.08239564211320916, score=0.790415 -   1.4s
[CV] c1=0.465473249289115, c2=0.06461595543675967 ....................
[CV]  c1=0.465473249289115, c2=0.06461595543675967, score=0.659964 -   1.1s
[CV] c1=0.3769446323732297, c2=0.02281196240512783 ...................
[CV]  c1=0.3769446323732297, c2=0.02281196240512783, score=0.788611 -   1.4s
[CV] c1=0.21678843988134944, c2=0.06590155121058654 ..................
[CV]  c1=0.21678843988134944, c2=0.06590155121058654, score=0.897617 -   1.0s
[CV] c1=0.47589217301064746, c2=0.011680717674310802 .................
[CV]  c1=0.47589217301064746, c2=0.011680717674310802, score=0.680736 -   1.1s
[CV] c1=0.5426141861407018, c2=0.0022148922179213936 .................
[CV]  c1=0.5426141861407018, c2=0.0022148922179213936, score=0.804921 -   1.3s
[CV] c1=0.22590866626829084, c2=0.0021161480240501763 ................
[CV]  c1=0.22590866626829084, c2=0.0021161480240501763, score=0.823614 -   1.3s
[CV] c1=0.4304666689239332, c2=0.016369964226419034 ..................
[CV]  c1=0.4304666689239332, c2=0.016369964226419034, score=0.792667 -   1.5s
[CV] c1=0.05434814950994315, c2=0.0017021729110582454 ................
[CV]  c1=0.05434814950994315, c2=0.0017021729110582454, score=0.816687 -   1.4s
[CV] c1=0.04214387543488536, c2=0.09734929820650334 ..................
[CV]  c1=0.04214387543488536, c2=0.09734929820650334, score=0.787542 -   1.4s
[CV] c1=0.14233861571223633, c2=0.06649071792549008 ..................
[CV]  c1=0.14233861571223633, c2=0.06649071792549008, score=0.668577 -   1.1s
[CV] c1=0.4390450271570005, c2=0.029129717606911288 ..................
[CV]  c1=0.4390450271570005, c2=0.029129717606911288, score=0.815311 -   1.3s
[CV] c1=0.3015192825946649, c2=0.011438796116638976 ..................
[CV]  c1=0.3015192825946649, c2=0.011438796116638976, score=0.850181 -   1.2s
[CV] c1=0.331371909424034, c2=0.07297497540912815 ....................
[CV]  c1=0.331371909424034, c2=0.07297497540912815, score=0.894145 -   1.4s
[CV] c1=0.681352518370928, c2=0.08511080173633266 ....................
[CV]  c1=0.681352518370928, c2=0.08511080173633266, score=0.639235 -   1.1s
[CV] c1=0.3769446323732297, c2=0.02281196240512783 ...................
[CV]  c1=0.3769446323732297, c2=0.02281196240512783, score=0.804687 -   1.4s
[CV] c1=0.21678843988134944, c2=0.06590155121058654 ..................
[CV]  c1=0.21678843988134944, c2=0.06590155121058654, score=0.790415 -   1.0s
[CV] c1=0.12464851698358835, c2=0.008091497430481348 .................
[CV]  c1=0.12464851698358835, c2=0.008091497430481348, score=0.837777 -   1.1s
[CV] c1=0.07116083456184914, c2=0.05160326500269782 ..................
[CV]  c1=0.07116083456184914, c2=0.05160326500269782, score=0.877840 -   1.3s
[CV] c1=0.2499598209307591, c2=0.03447247059168856 ...................
[CV]  c1=0.2499598209307591, c2=0.03447247059168856, score=0.668577 -   1.2s
[CV] c1=0.28098038302827905, c2=0.10939478253696872 ..................
[CV]  c1=0.28098038302827905, c2=0.10939478253696872, score=0.803437 -   1.3s
[CV] c1=1.364072213767297, c2=0.06825209774528389 ....................
[CV]  c1=1.364072213767297, c2=0.06825209774528389, score=0.800095 -   1.3s
[CV] c1=0.2027894660714455, c2=0.013518799309188144 ..................
[CV]  c1=0.2027894660714455, c2=0.013518799309188144, score=0.895684 -   1.4s
[CV] c1=0.06620546079379015, c2=0.12022411818008552 ..................
[CV]  c1=0.06620546079379015, c2=0.12022411818008552, score=0.691447 -   1.1s
[CV] c1=0.1520361110771088, c2=0.026470115917422578 ..................
[CV]  c1=0.1520361110771088, c2=0.026470115917422578, score=0.883660 -   1.4s
[CV] c1=1.0733542308883253, c2=0.018196224170132856 ..................
[CV]  c1=1.0733542308883253, c2=0.018196224170132856, score=0.645955 -   1.0s
[CV] c1=0.08916625213863132, c2=0.029559035689550036 .................
[CV]  c1=0.08916625213863132, c2=0.029559035689550036, score=0.665881 -   1.0s
[CV] c1=0.331371909424034, c2=0.07297497540912815 ....................
[CV]  c1=0.331371909424034, c2=0.07297497540912815, score=0.819201 -   1.3s
[CV] c1=0.681352518370928, c2=0.08511080173633266 ....................
[CV]  c1=0.681352518370928, c2=0.08511080173633266, score=0.797021 -   1.3s
[CV] c1=0.616818339845471, c2=0.002163519452545441 ...................
[CV]  c1=0.616818339845471, c2=0.002163519452545441, score=0.677206 -   1.1s
[CV] c1=0.1636030948982193, c2=0.07010115545933623 ...................
[CV]  c1=0.1636030948982193, c2=0.07010115545933623, score=0.790098 -   1.1s
[CV] c1=0.025685796629576176, c2=0.12710731284990598 .................
[CV]  c1=0.025685796629576176, c2=0.12710731284990598, score=0.878398 -   1.0s
[CV] c1=0.50812051895535, c2=0.009074834448447703 ....................
[CV]  c1=0.50812051895535, c2=0.009074834448447703, score=0.693014 -   1.1s
[CV] c1=0.2713011457150332, c2=0.009775796749247403 ..................
[CV]  c1=0.2713011457150332, c2=0.009775796749247403, score=0.905427 -   1.4s
[CV] c1=0.31177923009771913, c2=0.022972756681005548 .................
[CV]  c1=0.31177923009771913, c2=0.022972756681005548, score=0.798770 -   1.5s
[CV] c1=0.1707413456699256, c2=5.340721912180764e-05 .................
[CV]  c1=0.1707413456699256, c2=5.340721912180764e-05, score=0.819652 -   1.4s
[CV] c1=0.08239711852434824, c2=0.020847399417472573 .................
[CV]  c1=0.08239711852434824, c2=0.020847399417472573, score=0.786611 -   1.5s
[CV] c1=0.06620546079379015, c2=0.12022411818008552 ..................
[CV]  c1=0.06620546079379015, c2=0.12022411818008552, score=0.787542 -   1.4s
[CV] c1=0.8095646223616527, c2=0.005400115331419777 ..................
[CV]  c1=0.8095646223616527, c2=0.005400115331419777, score=0.697418 -   1.5s
[CV] c1=0.08866655640356766, c2=0.01134424847430598 ..................
[CV]  c1=0.08866655640356766, c2=0.01134424847430598, score=0.673494 -   1.3s
[CV] c1=0.6838666441224145, c2=0.1070649522342581 ....................
[CV]  c1=0.6838666441224145, c2=0.1070649522342581, score=0.643516 -   1.1s
[CV] c1=0.45249773274524197, c2=0.047639321051957444 .................
[CV]  c1=0.45249773274524197, c2=0.047639321051957444, score=0.794563 -   1.4s
[CV] c1=0.3769446323732297, c2=0.02281196240512783 ...................
[CV]  c1=0.3769446323732297, c2=0.02281196240512783, score=0.898243 -   1.4s
[CV] c1=0.1636030948982193, c2=0.07010115545933623 ...................
[CV]  c1=0.1636030948982193, c2=0.07010115545933623, score=0.848157 -   1.0s
[CV] c1=0.616830183903925, c2=0.025884005340070078 ...................
[CV]  c1=0.616830183903925, c2=0.025884005340070078, score=0.844432 -   1.2s
[CV] c1=0.07116083456184914, c2=0.05160326500269782 ..................
[CV]  c1=0.07116083456184914, c2=0.05160326500269782, score=0.787542 -   1.4s
[CV] c1=0.630347836156815, c2=0.002675877325528379 ...................
[CV]  c1=0.630347836156815, c2=0.002675877325528379, score=0.705746 -   1.4s
[CV] c1=1.1657881789876017, c2=0.08388035736369269 ...................
[CV]  c1=1.1657881789876017, c2=0.08388035736369269, score=0.577082 -   1.4s
[CV] c1=1.21557172947825, c2=0.02377580476792795 .....................
[CV]  c1=1.21557172947825, c2=0.02377580476792795, score=0.599525 -   1.1s
[CV] c1=0.48415820358399964, c2=0.0008695051355364681 ................
[CV]  c1=0.48415820358399964, c2=0.0008695051355364681, score=0.794563 -   1.4s
[CV] c1=0.5452597531005653, c2=0.008860669944847733 ..................
[CV]  c1=0.5452597531005653, c2=0.008860669944847733, score=0.782960 -   1.4s
[CV] c1=0.9783621776244401, c2=0.0757924900779795 ....................
[CV]  c1=0.9783621776244401, c2=0.0757924900779795, score=0.644096 -   1.4s
[CV] c1=0.3015192825946649, c2=0.011438796116638976 ..................
[CV]  c1=0.3015192825946649, c2=0.011438796116638976, score=0.905427 -   1.4s
[CV] c1=0.331371909424034, c2=0.07297497540912815 ....................
[CV]  c1=0.331371909424034, c2=0.07297497540912815, score=0.668076 -   1.1s
[CV] c1=0.13207361559093822, c2=0.018981449938947674 .................
[CV]  c1=0.13207361559093822, c2=0.018981449938947674, score=0.821342 -   1.4s
[CV] c1=0.06587167615658332, c2=0.03547367015345498 ..................
[CV]  c1=0.06587167615658332, c2=0.03547367015345498, score=0.878398 -   1.4s
[CV] c1=0.21678843988134944, c2=0.06590155121058654 ..................
[CV]  c1=0.21678843988134944, c2=0.06590155121058654, score=0.663840 -   1.1s
[CV] c1=0.31182361922866664, c2=0.07760641152703096 ..................
[CV]  c1=0.31182361922866664, c2=0.07760641152703096, score=0.807138 -   1.4s
[CV] c1=2.473583480180359, c2=0.04960788253103776 ....................
[CV]  c1=2.473583480180359, c2=0.04960788253103776, score=0.484027 -   1.0s
[CV] c1=0.22590866626829084, c2=0.0021161480240501763 ................
[CV]  c1=0.22590866626829084, c2=0.0021161480240501763, score=0.719496 -   1.1s
[CV] c1=1.1657881789876017, c2=0.08388035736369269 ...................
[CV]  c1=1.1657881789876017, c2=0.08388035736369269, score=0.809955 -   1.4s
[CV] c1=1.2176859837307423, c2=0.0066221461424451275 .................
[CV]  c1=1.2176859837307423, c2=0.0066221461424451275, score=0.638428 -   1.4s
[CV] c1=0.21385544707021695, c2=0.022043570342049987 .................
[CV]  c1=0.21385544707021695, c2=0.022043570342049987, score=0.897817 -   1.4s
[CV] c1=0.1789807653112737, c2=0.00936786674615304 ...................
[CV]  c1=0.1789807653112737, c2=0.00936786674615304, score=0.682866 -   1.1s
[CV] c1=0.8095646223616527, c2=0.005400115331419777 ..................
[CV]  c1=0.8095646223616527, c2=0.005400115331419777, score=0.744402 -   1.4s
[CV] c1=0.08866655640356766, c2=0.01134424847430598 ..................
[CV]  c1=0.08866655640356766, c2=0.01134424847430598, score=0.870192 -   1.3s
[CV] c1=0.21136321242907646, c2=0.08239564211320916 ..................
[CV]  c1=0.21136321242907646, c2=0.08239564211320916, score=0.817789 -   1.4s
[CV] c1=0.465473249289115, c2=0.06461595543675967 ....................
[CV]  c1=0.465473249289115, c2=0.06461595543675967, score=0.728456 -   1.4s
[CV] c1=0.06587167615658332, c2=0.03547367015345498 ..................
[CV]  c1=0.06587167615658332, c2=0.03547367015345498, score=0.844126 -   1.3s
[CV] c1=0.21678843988134944, c2=0.06590155121058654 ..................
[CV]  c1=0.21678843988134944, c2=0.06590155121058654, score=0.836418 -   1.1s
Training done in: 19.195952s
     Saving training model...
        Saving training model done in: 0.014067s
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Prediction done in: 0.032532s