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

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Run2_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: Run2
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: 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: 0.003720s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0      1
0       lemma      :
1      postag      :
2    -1:lemma     in
3   -1:postag     IN
4    +1:lemma     m9
5   +1:postag     NN
6      hUpper  False
7      hLower  False
8      hGreek  False
9        symb  False
10  lemma[:1]      :
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10  lemma[:1]           d
11  lemma[:2]          de
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.02870044242775193, c2=0.005351759930348736 .................
[CV]  c1=0.02870044242775193, c2=0.005351759930348736, score=0.825019 -   1.2s
[CV] c1=0.6365720942469913, c2=0.10954654103723067 ...................
[CV]  c1=0.6365720942469913, c2=0.10954654103723067, score=0.640800 -   1.1s
[CV] c1=0.4361389454310974, c2=0.030466475352151603 ..................
[CV]  c1=0.4361389454310974, c2=0.030466475352151603, score=0.803390 -   1.3s
[CV] c1=0.43888061746729035, c2=0.11370971887155337 ..................
[CV]  c1=0.43888061746729035, c2=0.11370971887155337, score=0.765951 -   1.2s
[CV] c1=0.5987669040598155, c2=0.0455922248393585 ....................
[CV]  c1=0.5987669040598155, c2=0.0455922248393585, score=0.745255 -   1.3s
[CV] c1=1.0015812557418657, c2=0.005919748014467218 ..................
[CV]  c1=1.0015812557418657, c2=0.005919748014467218, score=0.672171 -   1.3s
[CV] c1=0.41442059973278683, c2=0.016513368437915867 .................
[CV]  c1=0.41442059973278683, c2=0.016513368437915867, score=0.766483 -   1.4s
[CV] c1=0.0015490202491388206, c2=0.1276762827993296 .................
[CV]  c1=0.0015490202491388206, c2=0.1276762827993296, score=0.790207 -   1.3s
[CV] c1=0.14745168325250427, c2=0.03537307378402382 ..................
[CV]  c1=0.14745168325250427, c2=0.03537307378402382, score=0.878029 -   1.4s
[CV] c1=1.0196149454778112, c2=0.018024429087622626 ..................
[CV]  c1=1.0196149454778112, c2=0.018024429087622626, score=0.640653 -   1.0s
[CV] c1=0.3866723805943954, c2=0.011614754989910027 ..................
[CV]  c1=0.3866723805943954, c2=0.011614754989910027, score=0.809980 -   1.4s
[CV] c1=0.39027699249918274, c2=0.020505588254229972 .................
[CV]  c1=0.39027699249918274, c2=0.020505588254229972, score=0.814904 -   1.2s
[CV] c1=0.10788363637482118, c2=0.11075226613957934 ..................
[CV]  c1=0.10788363637482118, c2=0.11075226613957934, score=0.760890 -   1.3s
[CV] c1=0.060890801062102845, c2=0.040703343618388926 ................
[CV]  c1=0.060890801062102845, c2=0.040703343618388926, score=0.834752 -   1.3s
[CV] c1=0.897820990062489, c2=0.01409599376158045 ....................
[CV]  c1=0.897820990062489, c2=0.01409599376158045, score=0.665705 -   1.3s
[CV] c1=0.5914213449750162, c2=0.10541233105961703 ...................
[CV]  c1=0.5914213449750162, c2=0.10541233105961703, score=0.697143 -   1.3s
[CV] c1=0.6980497276817663, c2=0.20077891593253117 ...................
[CV]  c1=0.6980497276817663, c2=0.20077891593253117, score=0.688891 -   1.3s
[CV] c1=0.3564240204253564, c2=0.15484983001631136 ...................
[CV]  c1=0.3564240204253564, c2=0.15484983001631136, score=0.737969 -   1.3s
[CV] c1=0.7684831298983067, c2=0.08151539587126498 ...................
[CV]  c1=0.7684831298983067, c2=0.08151539587126498, score=0.740176 -   1.1s
[CV] c1=0.16271498056117809, c2=0.13178906128507556 ..................
[CV]  c1=0.16271498056117809, c2=0.13178906128507556, score=0.709135 -   1.0s
[CV] c1=0.27177289218601863, c2=0.10347760842330794 ..................
[CV]  c1=0.27177289218601863, c2=0.10347760842330794, score=0.682789 -   1.1s
[CV] c1=0.21494522795644497, c2=0.010842058055536305 .................
[CV]  c1=0.21494522795644497, c2=0.010842058055536305, score=0.810905 -   1.3s
[CV] c1=0.390019626745076, c2=0.055903069084175784 ...................
[CV]  c1=0.390019626745076, c2=0.055903069084175784, score=0.852633 -   1.2s
[CV] c1=0.9825674255793271, c2=0.02467919449697978 ...................
[CV]  c1=0.9825674255793271, c2=0.02467919449697978, score=0.839638 -   1.3s
[CV] c1=0.7192050875786047, c2=0.02405822560340126 ...................
[CV]  c1=0.7192050875786047, c2=0.02405822560340126, score=0.779829 -   1.3s
[CV] c1=0.0021136440754318986, c2=0.014647005943357244 ...............
[CV]  c1=0.0021136440754318986, c2=0.014647005943357244, score=0.835961 -   1.3s
[CV] c1=0.43888061746729035, c2=0.11370971887155337 ..................
[CV]  c1=0.43888061746729035, c2=0.11370971887155337, score=0.840672 -   1.2s
[CV] c1=1.1488211798146426, c2=0.057067071198783015 ..................
[CV]  c1=1.1488211798146426, c2=0.057067071198783015, score=0.575659 -   1.3s
[CV] c1=1.0015812557418657, c2=0.005919748014467218 ..................
[CV]  c1=1.0015812557418657, c2=0.005919748014467218, score=0.843070 -   1.2s
[CV] c1=0.3564240204253564, c2=0.15484983001631136 ...................
[CV]  c1=0.3564240204253564, c2=0.15484983001631136, score=0.790262 -   1.3s
[CV] c1=0.1022252241412175, c2=0.2155268344996633 ....................
[CV]  c1=0.1022252241412175, c2=0.2155268344996633, score=0.862754 -   1.2s
[CV] c1=0.914071582425376, c2=0.0007496407122433886 ..................
[CV]  c1=0.914071582425376, c2=0.0007496407122433886, score=0.841470 -   1.3s
[CV] c1=0.3795099754890298, c2=0.07120772181663593 ...................
[CV]  c1=0.3795099754890298, c2=0.07120772181663593, score=0.857243 -   1.2s
[CV] c1=0.09819018737130736, c2=0.08659856070382341 ..................
[CV]  c1=0.09819018737130736, c2=0.08659856070382341, score=0.866424 -   1.3s
[CV] c1=0.2530918072204023, c2=0.017946873465378283 ..................
[CV]  c1=0.2530918072204023, c2=0.017946873465378283, score=0.725541 -   0.9s
[CV] c1=0.3183489783922635, c2=0.020607905945405916 ..................
[CV]  c1=0.3183489783922635, c2=0.020607905945405916, score=0.725541 -   1.0s
[CV] c1=0.10788363637482118, c2=0.11075226613957934 ..................
[CV]  c1=0.10788363637482118, c2=0.11075226613957934, score=0.864683 -   1.2s
[CV] c1=0.15274836561666447, c2=0.007751868027381878 .................
[CV]  c1=0.15274836561666447, c2=0.007751868027381878, score=0.712071 -   0.9s
[CV] c1=0.860782135481723, c2=0.022076626114594627 ...................
[CV]  c1=0.860782135481723, c2=0.022076626114594627, score=0.689021 -   1.2s
[CV] c1=1.6408599975195506, c2=0.0032027437410889303 .................
[CV]  c1=1.6408599975195506, c2=0.0032027437410889303, score=0.549663 -   1.3s
[CV] c1=0.3520438915228157, c2=0.0014019508949151534 .................
[CV]  c1=0.3520438915228157, c2=0.0014019508949151534, score=0.804519 -   1.3s
[CV] c1=0.12030206941271701, c2=0.020294449848914486 .................
[CV]  c1=0.12030206941271701, c2=0.020294449848914486, score=0.779285 -   1.3s
[CV] c1=0.10508928795536761, c2=0.13103642380243688 ..................
[CV]  c1=0.10508928795536761, c2=0.13103642380243688, score=0.758557 -   1.3s
[CV] c1=0.019348607164490862, c2=0.07501217569303219 .................
[CV]  c1=0.019348607164490862, c2=0.07501217569303219, score=0.879419 -   1.2s
[CV] c1=0.1997137518150199, c2=0.016377912456060743 ..................
[CV]  c1=0.1997137518150199, c2=0.016377912456060743, score=0.809203 -   1.3s
[CV] c1=0.00034483535353135766, c2=0.001838416768475546 ..............
[CV]  c1=0.00034483535353135766, c2=0.001838416768475546, score=0.868424 -   1.2s
[CV] c1=0.12195010331920977, c2=0.05881268774145059 ..................
[CV]  c1=0.12195010331920977, c2=0.05881268774145059, score=0.880397 -   1.2s
[CV] c1=0.7974855184303175, c2=0.02216693959079677 ...................
[CV]  c1=0.7974855184303175, c2=0.02216693959079677, score=0.833876 -   1.1s
[CV] c1=1.4293460985640625, c2=0.10658468976265892 ...................
[CV]  c1=1.4293460985640625, c2=0.10658468976265892, score=0.742968 -   1.3s
[CV] c1=0.457314534537521, c2=0.061773738838978326 ...................
[CV]  c1=0.457314534537521, c2=0.061773738838978326, score=0.778468 -   1.3s
[CV] c1=0.897820990062489, c2=0.01409599376158045 ....................
[CV]  c1=0.897820990062489, c2=0.01409599376158045, score=0.846566 -   1.2s
[CV] c1=0.4829742371023688, c2=0.0294490420460045 ....................
[CV]  c1=0.4829742371023688, c2=0.0294490420460045, score=0.777126 -   1.2s
[CV] c1=2.8663682655832883, c2=0.03558327743258299 ...................
[CV]  c1=2.8663682655832883, c2=0.03558327743258299, score=0.482405 -   1.2s
[CV] c1=0.4819625142983028, c2=0.06585025640900366 ...................
[CV]  c1=0.4819625142983028, c2=0.06585025640900366, score=0.793396 -   1.3s
[CV] c1=0.011210413831221035, c2=0.006957820296969248 ................
[CV]  c1=0.011210413831221035, c2=0.006957820296969248, score=0.894170 -   1.3s
[CV] c1=0.16280481470810262, c2=0.009000602289164546 .................
[CV]  c1=0.16280481470810262, c2=0.009000602289164546, score=0.731381 -   1.0s
[CV] c1=0.1997137518150199, c2=0.016377912456060743 ..................
[CV]  c1=0.1997137518150199, c2=0.016377912456060743, score=0.727467 -   1.0s
[CV] c1=0.08576557654651505, c2=0.14576145001219648 ..................
[CV]  c1=0.08576557654651505, c2=0.14576145001219648, score=0.805538 -   1.3s
[CV] c1=0.7391685112521641, c2=0.016449431513424394 ..................
[CV]  c1=0.7391685112521641, c2=0.016449431513424394, score=0.691117 -   1.4s
[CV] c1=0.9825674255793271, c2=0.02467919449697978 ...................
[CV]  c1=0.9825674255793271, c2=0.02467919449697978, score=0.740176 -   1.2s
[CV] c1=1.2564881311250184, c2=0.00607490119516461 ...................
[CV]  c1=1.2564881311250184, c2=0.00607490119516461, score=0.731745 -   1.3s
[CV] c1=0.5883267287557835, c2=0.08003851675955823 ...................
[CV]  c1=0.5883267287557835, c2=0.08003851675955823, score=0.749320 -   1.2s
[CV] c1=0.860782135481723, c2=0.022076626114594627 ...................
[CV]  c1=0.860782135481723, c2=0.022076626114594627, score=0.685948 -   1.4s
[CV] c1=0.5320968401212798, c2=0.008538533926749687 ..................
[CV]  c1=0.5320968401212798, c2=0.008538533926749687, score=0.736589 -   1.3s
[CV] c1=2.8663682655832883, c2=0.03558327743258299 ...................
[CV]  c1=2.8663682655832883, c2=0.03558327743258299, score=0.502045 -   1.1s
[CV] c1=0.12030206941271701, c2=0.020294449848914486 .................
[CV]  c1=0.12030206941271701, c2=0.020294449848914486, score=0.811368 -   1.2s
[CV] c1=0.7942823817918734, c2=0.022965617469841496 ..................
[CV]  c1=0.7942823817918734, c2=0.022965617469841496, score=0.722815 -   1.3s
[CV] c1=0.8051953546985867, c2=0.055098982847163094 ..................
[CV]  c1=0.8051953546985867, c2=0.055098982847163094, score=0.679635 -   1.3s
[CV] c1=0.1997137518150199, c2=0.016377912456060743 ..................
[CV]  c1=0.1997137518150199, c2=0.016377912456060743, score=0.790240 -   1.3s
[CV] c1=0.00034483535353135766, c2=0.001838416768475546 ..............
[CV]  c1=0.00034483535353135766, c2=0.001838416768475546, score=0.755145 -   1.2s
[CV] c1=0.12195010331920977, c2=0.05881268774145059 ..................
[CV]  c1=0.12195010331920977, c2=0.05881268774145059, score=0.686139 -   1.1s
[CV] c1=0.39027699249918274, c2=0.020505588254229972 .................
[CV]  c1=0.39027699249918274, c2=0.020505588254229972, score=0.812643 -   1.3s
[CV] c1=0.7192050875786047, c2=0.02405822560340126 ...................
[CV]  c1=0.7192050875786047, c2=0.02405822560340126, score=0.694278 -   1.0s
[CV] c1=0.060890801062102845, c2=0.040703343618388926 ................
[CV]  c1=0.060890801062102845, c2=0.040703343618388926, score=0.900599 -   1.2s
[CV] c1=0.897820990062489, c2=0.01409599376158045 ....................
[CV]  c1=0.897820990062489, c2=0.01409599376158045, score=0.659467 -   1.1s
[CV] c1=0.5320968401212798, c2=0.008538533926749687 ..................
[CV]  c1=0.5320968401212798, c2=0.008538533926749687, score=0.710693 -   1.0s
[CV] c1=0.9498916644895157, c2=0.011547245372256229 ..................
[CV]  c1=0.9498916644895157, c2=0.011547245372256229, score=0.675839 -   1.3s
[CV] c1=0.12030206941271701, c2=0.020294449848914486 .................
[CV]  c1=0.12030206941271701, c2=0.020294449848914486, score=0.698110 -   1.0s
[CV] c1=0.41442059973278683, c2=0.016513368437915867 .................
[CV]  c1=0.41442059973278683, c2=0.016513368437915867, score=0.884291 -   1.3s
[CV] c1=0.18428557082598732, c2=0.02185806758616191 ..................
[CV]  c1=0.18428557082598732, c2=0.02185806758616191, score=0.726132 -   1.0s
[CV] c1=0.914071582425376, c2=0.0007496407122433886 ..................
[CV]  c1=0.914071582425376, c2=0.0007496407122433886, score=0.691117 -   1.3s
[CV] c1=0.3795099754890298, c2=0.07120772181663593 ...................
[CV]  c1=0.3795099754890298, c2=0.07120772181663593, score=0.779154 -   1.2s
[CV] c1=0.09819018737130736, c2=0.08659856070382341 ..................
[CV]  c1=0.09819018737130736, c2=0.08659856070382341, score=0.717157 -   1.0s
[CV] c1=0.017652763082397008, c2=0.07602372702885143 .................
[CV]  c1=0.017652763082397008, c2=0.07602372702885143, score=0.811700 -   1.3s
[CV] c1=1.119527701977113, c2=0.05174373074680186 ....................
[CV]  c1=1.119527701977113, c2=0.05174373074680186, score=0.615765 -   0.9s
[CV] c1=1.2564881311250184, c2=0.00607490119516461 ...................
[CV]  c1=1.2564881311250184, c2=0.00607490119516461, score=0.652697 -   1.3s
[CV] c1=0.457314534537521, c2=0.061773738838978326 ...................
[CV]  c1=0.457314534537521, c2=0.061773738838978326, score=0.707695 -   1.0s
[CV] c1=0.851350270314848, c2=0.01383531264810193 ....................
[CV]  c1=0.851350270314848, c2=0.01383531264810193, score=0.672171 -   1.4s
[CV] c1=0.5320968401212798, c2=0.008538533926749687 ..................
[CV]  c1=0.5320968401212798, c2=0.008538533926749687, score=0.836852 -   1.3s
[CV] c1=0.3050750811672748, c2=0.08423127665558636 ...................
[CV]  c1=0.3050750811672748, c2=0.08423127665558636, score=0.862161 -   1.3s
[CV] c1=0.713648255360611, c2=0.055659426467217776 ...................
[CV]  c1=0.713648255360611, c2=0.055659426467217776, score=0.695402 -   1.3s
[CV] c1=0.03362614810100309, c2=0.07898421039497834 ..................
[CV]  c1=0.03362614810100309, c2=0.07898421039497834, score=0.872991 -   1.3s
[CV] c1=0.019348607164490862, c2=0.07501217569303219 .................
[CV]  c1=0.019348607164490862, c2=0.07501217569303219, score=0.834061 -   1.3s
[CV] c1=0.1997137518150199, c2=0.016377912456060743 ..................
[CV]  c1=0.1997137518150199, c2=0.016377912456060743, score=0.817155 -   1.2s
[CV] c1=1.0196149454778112, c2=0.018024429087622626 ..................
[CV]  c1=1.0196149454778112, c2=0.018024429087622626, score=0.740176 -   1.3s
[CV] c1=0.390019626745076, c2=0.055903069084175784 ...................
[CV]  c1=0.390019626745076, c2=0.055903069084175784, score=0.796656 -   1.3s
[CV] c1=0.7974855184303175, c2=0.02216693959079677 ...................
[CV]  c1=0.7974855184303175, c2=0.02216693959079677, score=0.745507 -   1.1s
[CV] c1=1.4293460985640625, c2=0.10658468976265892 ...................
[CV]  c1=1.4293460985640625, c2=0.10658468976265892, score=0.557350 -   1.3s
[CV] c1=0.15274836561666447, c2=0.007751868027381878 .................
[CV]  c1=0.15274836561666447, c2=0.007751868027381878, score=0.817155 -   1.2s
[CV] c1=0.7123889955834674, c2=0.1057653475140467 ....................
[CV]  c1=0.7123889955834674, c2=0.1057653475140467, score=0.679635 -   1.3s
[CV] c1=0.4829742371023688, c2=0.0294490420460045 ....................
[CV]  c1=0.4829742371023688, c2=0.0294490420460045, score=0.808011 -   1.2s
[CV] c1=0.5328421744887483, c2=0.11198494673866899 ...................
[CV]  c1=0.5328421744887483, c2=0.11198494673866899, score=0.840830 -   1.2s
[CV] c1=0.6072351331401347, c2=0.02470962056876476 ...................
[CV]  c1=0.6072351331401347, c2=0.02470962056876476, score=0.725245 -   1.3s
[CV] c1=0.7293365835477575, c2=0.2736396314330231 ....................
[CV]  c1=0.7293365835477575, c2=0.2736396314330231, score=0.693051 -   1.2s
[CV] c1=0.29691675348218033, c2=0.07142267955504464 ..................
[CV]  c1=0.29691675348218033, c2=0.07142267955504464, score=0.805645 -   1.2s
[CV] c1=0.27177289218601863, c2=0.10347760842330794 ..................
[CV]  c1=0.27177289218601863, c2=0.10347760842330794, score=0.755333 -   1.3s
[CV] c1=1.3258759606743742, c2=0.0360065209976397 ....................
[CV]  c1=1.3258759606743742, c2=0.0360065209976397, score=0.598213 -   1.0s
[CV] c1=0.390019626745076, c2=0.055903069084175784 ...................
[CV]  c1=0.390019626745076, c2=0.055903069084175784, score=0.736747 -   1.3s
[CV] c1=0.9825674255793271, c2=0.02467919449697978 ...................
[CV]  c1=0.9825674255793271, c2=0.02467919449697978, score=0.677730 -   1.3s
[CV] c1=1.2564881311250184, c2=0.00607490119516461 ...................
[CV]  c1=1.2564881311250184, c2=0.00607490119516461, score=0.628738 -   0.8s
[CV] c1=0.5519358323426365, c2=0.08256442850323734 ...................
[CV]  c1=0.5519358323426365, c2=0.08256442850323734, score=0.691880 -   1.0s
[CV] c1=0.4361389454310974, c2=0.030466475352151603 ..................
[CV]  c1=0.4361389454310974, c2=0.030466475352151603, score=0.862161 -   1.3s
[CV] c1=0.43888061746729035, c2=0.11370971887155337 ..................
[CV]  c1=0.43888061746729035, c2=0.11370971887155337, score=0.691971 -   1.0s
[CV] c1=0.5914213449750162, c2=0.10541233105961703 ...................
[CV]  c1=0.5914213449750162, c2=0.10541233105961703, score=0.730610 -   1.2s
[CV] c1=0.6980497276817663, c2=0.20077891593253117 ...................
[CV]  c1=0.6980497276817663, c2=0.20077891593253117, score=0.702154 -   1.2s
[CV] c1=0.3564240204253564, c2=0.15484983001631136 ...................
[CV]  c1=0.3564240204253564, c2=0.15484983001631136, score=0.842919 -   1.3s
[CV] c1=0.7684831298983067, c2=0.08151539587126498 ...................
[CV]  c1=0.7684831298983067, c2=0.08151539587126498, score=0.823351 -   1.1s
[CV] c1=0.16280481470810262, c2=0.009000602289164546 .................
[CV]  c1=0.16280481470810262, c2=0.009000602289164546, score=0.870184 -   1.4s
[CV] c1=2.4544796240241826, c2=0.009151064514138359 ..................
[CV]  c1=2.4544796240241826, c2=0.009151064514138359, score=0.665210 -   1.2s
[CV] c1=0.09566502273877076, c2=0.019945316613382873 .................
[CV]  c1=0.09566502273877076, c2=0.019945316613382873, score=0.693602 -   1.0s
[CV] c1=0.12195010331920977, c2=0.05881268774145059 ..................
[CV]  c1=0.12195010331920977, c2=0.05881268774145059, score=0.811368 -   1.2s
[CV] c1=0.7974855184303175, c2=0.02216693959079677 ...................
[CV]  c1=0.7974855184303175, c2=0.02216693959079677, score=0.691117 -   1.3s
[CV] c1=0.7192050875786047, c2=0.02405822560340126 ...................
[CV]  c1=0.7192050875786047, c2=0.02405822560340126, score=0.691117 -   1.3s
[CV] c1=0.0021136440754318986, c2=0.014647005943357244 ...............
[CV]  c1=0.0021136440754318986, c2=0.014647005943357244, score=0.827549 -   1.2s
[CV] c1=0.3974249018566951, c2=0.07100632153008152 ...................
[CV]  c1=0.3974249018566951, c2=0.07100632153008152, score=0.779154 -   1.2s
[CV] c1=1.1488211798146426, c2=0.057067071198783015 ..................
[CV]  c1=1.1488211798146426, c2=0.057067071198783015, score=0.731745 -   1.2s
[CV] c1=0.04929852606941449, c2=0.027388248144298258 .................
[CV]  c1=0.04929852606941449, c2=0.027388248144298258, score=0.834752 -   1.3s
[CV] c1=0.3564240204253564, c2=0.15484983001631136 ...................
[CV]  c1=0.3564240204253564, c2=0.15484983001631136, score=0.767761 -   1.3s
[CV] c1=0.7684831298983067, c2=0.08151539587126498 ...................
[CV]  c1=0.7684831298983067, c2=0.08151539587126498, score=0.687293 -   1.3s
[CV] c1=0.914071582425376, c2=0.0007496407122433886 ..................
[CV]  c1=0.914071582425376, c2=0.0007496407122433886, score=0.658230 -   1.0s
[CV] c1=0.7984093638828184, c2=0.026308866632922347 ..................
[CV]  c1=0.7984093638828184, c2=0.026308866632922347, score=0.745507 -   1.2s
[CV] c1=0.00034483535353135766, c2=0.001838416768475546 ..............
[CV]  c1=0.00034483535353135766, c2=0.001838416768475546, score=0.795718 -   1.2s
[CV] c1=0.017652763082397008, c2=0.07602372702885143 .................
[CV]  c1=0.017652763082397008, c2=0.07602372702885143, score=0.727761 -   1.0s
[CV] c1=0.9825674255793271, c2=0.02467919449697978 ...................
[CV]  c1=0.9825674255793271, c2=0.02467919449697978, score=0.659181 -   1.3s
[CV] c1=0.38418722116505194, c2=0.028664498341232466 .................
[CV]  c1=0.38418722116505194, c2=0.028664498341232466, score=0.862912 -   1.2s
[CV] c1=0.7592276647727351, c2=0.01828109546128388 ...................
[CV]  c1=0.7592276647727351, c2=0.01828109546128388, score=0.832133 -   1.2s
[CV] c1=0.6087925338007124, c2=0.021650393272846045 ..................
[CV]  c1=0.6087925338007124, c2=0.021650393272846045, score=0.703625 -   1.0s
[CV] c1=0.4829742371023688, c2=0.0294490420460045 ....................
[CV]  c1=0.4829742371023688, c2=0.0294490420460045, score=0.834845 -   1.2s
[CV] c1=2.8663682655832883, c2=0.03558327743258299 ...................
[CV]  c1=2.8663682655832883, c2=0.03558327743258299, score=0.656218 -   1.3s
[CV] c1=0.4819625142983028, c2=0.06585025640900366 ...................
[CV]  c1=0.4819625142983028, c2=0.06585025640900366, score=0.766827 -   1.2s
[CV] c1=0.03362614810100309, c2=0.07898421039497834 ..................
[CV]  c1=0.03362614810100309, c2=0.07898421039497834, score=0.808116 -   1.4s
[CV] c1=0.29691675348218033, c2=0.07142267955504464 ..................
[CV]  c1=0.29691675348218033, c2=0.07142267955504464, score=0.803229 -   1.3s
[CV] c1=0.7984093638828184, c2=0.026308866632922347 ..................
[CV]  c1=0.7984093638828184, c2=0.026308866632922347, score=0.658230 -   1.0s
[CV] c1=1.0196149454778112, c2=0.018024429087622626 ..................
[CV]  c1=1.0196149454778112, c2=0.018024429087622626, score=0.661219 -   1.3s
[CV] c1=0.12195010331920977, c2=0.05881268774145059 ..................
[CV]  c1=0.12195010331920977, c2=0.05881268774145059, score=0.822384 -   1.3s
[CV] c1=0.3183489783922635, c2=0.020607905945405916 ..................
[CV]  c1=0.3183489783922635, c2=0.020607905945405916, score=0.887614 -   1.3s
[CV] c1=0.11915004316471203, c2=0.0961045666028588 ...................
[CV]  c1=0.11915004316471203, c2=0.0961045666028588, score=0.775701 -   1.3s
[CV] c1=0.7592276647727351, c2=0.01828109546128388 ...................
[CV]  c1=0.7592276647727351, c2=0.01828109546128388, score=0.750252 -   1.2s
[CV] c1=0.6087925338007124, c2=0.021650393272846045 ..................
[CV]  c1=0.6087925338007124, c2=0.021650393272846045, score=0.717698 -   1.3s
[CV] c1=1.1488211798146426, c2=0.057067071198783015 ..................
[CV]  c1=1.1488211798146426, c2=0.057067071198783015, score=0.770986 -   1.3s
[CV] c1=0.04929852606941449, c2=0.027388248144298258 .................
[CV]  c1=0.04929852606941449, c2=0.027388248144298258, score=0.897876 -   1.3s
[CV] c1=0.3564240204253564, c2=0.15484983001631136 ...................
[CV]  c1=0.3564240204253564, c2=0.15484983001631136, score=0.677773 -   1.0s
[CV] c1=0.7293365835477575, c2=0.2736396314330231 ....................
[CV]  c1=0.7293365835477575, c2=0.2736396314330231, score=0.639789 -   1.4s
[CV] c1=0.16271498056117809, c2=0.13178906128507556 ..................
[CV]  c1=0.16271498056117809, c2=0.13178906128507556, score=0.870383 -   1.3s
[CV] c1=2.4544796240241826, c2=0.009151064514138359 ..................
[CV]  c1=2.4544796240241826, c2=0.009151064514138359, score=0.500577 -   1.0s
[CV] c1=0.00034483535353135766, c2=0.001838416768475546 ..............
[CV]  c1=0.00034483535353135766, c2=0.001838416768475546, score=0.827802 -   1.3s
[CV] c1=0.017652763082397008, c2=0.07602372702885143 .................
[CV]  c1=0.017652763082397008, c2=0.07602372702885143, score=0.899987 -   1.3s
[CV] c1=0.3183489783922635, c2=0.020607905945405916 ..................
[CV]  c1=0.3183489783922635, c2=0.020607905945405916, score=0.819797 -   1.2s
[CV] c1=0.5957583308746607, c2=0.027967196345316504 ..................
[CV]  c1=0.5957583308746607, c2=0.027967196345316504, score=0.726863 -   1.4s
[CV] c1=0.5883267287557835, c2=0.08003851675955823 ...................
[CV]  c1=0.5883267287557835, c2=0.08003851675955823, score=0.774166 -   1.3s
[CV] c1=0.7123889955834674, c2=0.1057653475140467 ....................
[CV]  c1=0.7123889955834674, c2=0.1057653475140467, score=0.820465 -   1.3s
[CV] c1=0.4306835720631915, c2=0.06963895547143988 ...................
[CV]  c1=0.4306835720631915, c2=0.06963895547143988, score=0.829857 -   1.3s
[CV] c1=0.5328421744887483, c2=0.11198494673866899 ...................
[CV]  c1=0.5328421744887483, c2=0.11198494673866899, score=0.723404 -   1.3s
[CV] c1=0.11639571314905514, c2=0.1391811799728809 ...................
[CV]  c1=0.11639571314905514, c2=0.1391811799728809, score=0.710842 -   1.0s
[CV] c1=0.03362614810100309, c2=0.07898421039497834 ..................
[CV]  c1=0.03362614810100309, c2=0.07898421039497834, score=0.810402 -   1.3s
[CV] c1=0.019348607164490862, c2=0.07501217569303219 .................
[CV]  c1=0.019348607164490862, c2=0.07501217569303219, score=0.811700 -   1.4s
[CV] c1=0.27177289218601863, c2=0.10347760842330794 ..................
[CV]  c1=0.27177289218601863, c2=0.10347760842330794, score=0.779154 -   1.3s
[CV] c1=1.3258759606743742, c2=0.0360065209976397 ....................
[CV]  c1=1.3258759606743742, c2=0.0360065209976397, score=0.630471 -   1.3s
[CV] c1=0.1903400595993656, c2=0.037813808932587484 ..................
[CV]  c1=0.1903400595993656, c2=0.037813808932587484, score=0.872155 -   1.3s
[CV] c1=1.119527701977113, c2=0.05174373074680186 ....................
[CV]  c1=1.119527701977113, c2=0.05174373074680186, score=0.731745 -   1.1s
[CV] c1=0.11915004316471203, c2=0.0961045666028588 ...................
[CV]  c1=0.11915004316471203, c2=0.0961045666028588, score=0.866022 -   1.3s
[CV] c1=0.060890801062102845, c2=0.040703343618388926 ................
[CV]  c1=0.060890801062102845, c2=0.040703343618388926, score=0.779285 -   1.3s
[CV] c1=0.6087925338007124, c2=0.021650393272846045 ..................
[CV]  c1=0.6087925338007124, c2=0.021650393272846045, score=0.759652 -   1.2s
[CV] c1=0.5914213449750162, c2=0.10541233105961703 ...................
[CV]  c1=0.5914213449750162, c2=0.10541233105961703, score=0.691880 -   1.0s
[CV] c1=2.8663682655832883, c2=0.03558327743258299 ...................
[CV]  c1=2.8663682655832883, c2=0.03558327743258299, score=0.593157 -   1.3s
[CV] c1=0.6072351331401347, c2=0.02470962056876476 ...................
[CV]  c1=0.6072351331401347, c2=0.02470962056876476, score=0.828019 -   1.3s
[CV] c1=0.7293365835477575, c2=0.2736396314330231 ....................
[CV]  c1=0.7293365835477575, c2=0.2736396314330231, score=0.569701 -   1.0s
[CV] c1=0.8051953546985867, c2=0.055098982847163094 ..................
[CV]  c1=0.8051953546985867, c2=0.055098982847163094, score=0.653557 -   1.0s
[CV] c1=2.301144264451963, c2=0.03590102672526169 ....................
[CV]  c1=2.301144264451963, c2=0.03590102672526169, score=0.748656 -   1.2s
[CV] c1=0.08576557654651505, c2=0.14576145001219648 ..................
[CV]  c1=0.08576557654651505, c2=0.14576145001219648, score=0.721314 -   1.0s
[CV] c1=0.15829027594536016, c2=0.10638937292444227 ..................
[CV]  c1=0.15829027594536016, c2=0.10638937292444227, score=0.681807 -   1.0s
[CV] c1=0.1903400595993656, c2=0.037813808932587484 ..................
[CV]  c1=0.1903400595993656, c2=0.037813808932587484, score=0.779285 -   1.4s
[CV] c1=0.3911747415401969, c2=0.045146829011288477 ..................
[CV]  c1=0.3911747415401969, c2=0.045146829011288477, score=0.712028 -   0.9s
[CV] c1=0.11915004316471203, c2=0.0961045666028588 ...................
[CV]  c1=0.11915004316471203, c2=0.0961045666028588, score=0.798732 -   1.2s
[CV] c1=0.060890801062102845, c2=0.040703343618388926 ................
[CV]  c1=0.060890801062102845, c2=0.040703343618388926, score=0.700371 -   1.0s
[CV] c1=0.33746087058391466, c2=0.01164160224264707 ..................
[CV]  c1=0.33746087058391466, c2=0.01164160224264707, score=0.804519 -   1.3s
[CV] c1=0.5320968401212798, c2=0.008538533926749687 ..................
[CV]  c1=0.5320968401212798, c2=0.008538533926749687, score=0.811867 -   1.3s
[CV] c1=2.8663682655832883, c2=0.03558327743258299 ...................
[CV]  c1=2.8663682655832883, c2=0.03558327743258299, score=0.510266 -   1.2s
[CV] c1=0.4819625142983028, c2=0.06585025640900366 ...................
[CV]  c1=0.4819625142983028, c2=0.06585025640900366, score=0.742048 -   1.3s
[CV] c1=0.03362614810100309, c2=0.07898421039497834 ..................
[CV]  c1=0.03362614810100309, c2=0.07898421039497834, score=0.811368 -   1.2s
[CV] c1=0.019348607164490862, c2=0.07501217569303219 .................
[CV]  c1=0.019348607164490862, c2=0.07501217569303219, score=0.825153 -   1.4s
[CV] c1=0.27177289218601863, c2=0.10347760842330794 ..................
[CV]  c1=0.27177289218601863, c2=0.10347760842330794, score=0.805946 -   1.3s
[CV] c1=1.3258759606743742, c2=0.0360065209976397 ....................
[CV]  c1=1.3258759606743742, c2=0.0360065209976397, score=0.691681 -   1.2s
[CV] c1=0.017652763082397008, c2=0.07602372702885143 .................
[CV]  c1=0.017652763082397008, c2=0.07602372702885143, score=0.834061 -   1.3s
[CV] c1=0.3183489783922635, c2=0.020607905945405916 ..................
[CV]  c1=0.3183489783922635, c2=0.020607905945405916, score=0.804519 -   1.2s
[CV] c1=1.4293460985640625, c2=0.10658468976265892 ...................
[CV]  c1=1.4293460985640625, c2=0.10658468976265892, score=0.677736 -   1.2s
[CV] c1=0.457314534537521, c2=0.061773738838978326 ...................
[CV]  c1=0.457314534537521, c2=0.061773738838978326, score=0.744284 -   1.3s
[CV] c1=0.7123889955834674, c2=0.1057653475140467 ....................
[CV]  c1=0.7123889955834674, c2=0.1057653475140467, score=0.718869 -   1.3s
[CV] c1=0.4306835720631915, c2=0.06963895547143988 ...................
[CV]  c1=0.4306835720631915, c2=0.06963895547143988, score=0.744284 -   1.3s
[CV] c1=0.6980497276817663, c2=0.20077891593253117 ...................
[CV]  c1=0.6980497276817663, c2=0.20077891593253117, score=0.652236 -   1.3s
[CV] c1=0.11639571314905514, c2=0.1391811799728809 ...................
[CV]  c1=0.11639571314905514, c2=0.1391811799728809, score=0.770325 -   1.3s
[CV] c1=0.7684831298983067, c2=0.08151539587126498 ...................
[CV]  c1=0.7684831298983067, c2=0.08151539587126498, score=0.679635 -   1.3s
[CV] c1=0.16271498056117809, c2=0.13178906128507556 ..................
[CV]  c1=0.16271498056117809, c2=0.13178906128507556, score=0.770325 -   1.3s
[CV] c1=0.3795099754890298, c2=0.07120772181663593 ...................
[CV]  c1=0.3795099754890298, c2=0.07120772181663593, score=0.693919 -   1.1s
[CV] c1=0.09566502273877076, c2=0.019945316613382873 .................
[CV]  c1=0.09566502273877076, c2=0.019945316613382873, score=0.863562 -   1.3s
[CV] c1=0.1903400595993656, c2=0.037813808932587484 ..................
[CV]  c1=0.1903400595993656, c2=0.037813808932587484, score=0.689205 -   1.1s
[CV] c1=0.7974855184303175, c2=0.02216693959079677 ...................
[CV]  c1=0.7974855184303175, c2=0.02216693959079677, score=0.722815 -   1.3s
[CV] c1=1.2564881311250184, c2=0.00607490119516461 ...................
[CV]  c1=1.2564881311250184, c2=0.00607490119516461, score=0.827123 -   1.3s
[CV] c1=0.457314534537521, c2=0.061773738838978326 ...................
[CV]  c1=0.457314534537521, c2=0.061773738838978326, score=0.827742 -   1.2s
[CV] c1=0.33746087058391466, c2=0.01164160224264707 ..................
[CV]  c1=0.33746087058391466, c2=0.01164160224264707, score=0.712045 -   1.1s
[CV] c1=0.16717888414915125, c2=0.033781902668193045 .................
[CV]  c1=0.16717888414915125, c2=0.033781902668193045, score=0.797094 -   1.3s
[CV] c1=0.3520438915228157, c2=0.0014019508949151534 .................
[CV]  c1=0.3520438915228157, c2=0.0014019508949151534, score=0.820060 -   1.4s
[CV] c1=0.713648255360611, c2=0.055659426467217776 ...................
[CV]  c1=0.713648255360611, c2=0.055659426467217776, score=0.730624 -   1.3s
[CV] c1=0.7293365835477575, c2=0.2736396314330231 ....................
[CV]  c1=0.7293365835477575, c2=0.2736396314330231, score=0.796044 -   1.2s
[CV] c1=0.29691675348218033, c2=0.07142267955504464 ..................
[CV]  c1=0.29691675348218033, c2=0.07142267955504464, score=0.784992 -   1.3s
[CV] c1=0.7984093638828184, c2=0.026308866632922347 ..................
[CV]  c1=0.7984093638828184, c2=0.026308866632922347, score=0.823477 -   1.2s
[CV] c1=1.3258759606743742, c2=0.0360065209976397 ....................
[CV]  c1=1.3258759606743742, c2=0.0360065209976397, score=0.748324 -   1.3s
[CV] c1=0.017652763082397008, c2=0.07602372702885143 .................
[CV]  c1=0.017652763082397008, c2=0.07602372702885143, score=0.813590 -   1.2s
[CV] c1=0.3183489783922635, c2=0.020607905945405916 ..................
[CV]  c1=0.3183489783922635, c2=0.020607905945405916, score=0.787299 -   1.3s
[CV] c1=0.02870044242775193, c2=0.005351759930348736 .................
[CV]  c1=0.02870044242775193, c2=0.005351759930348736, score=0.890099 -   1.2s
[CV] c1=0.5519358323426365, c2=0.08256442850323734 ...................
[CV]  c1=0.5519358323426365, c2=0.08256442850323734, score=0.755139 -   1.2s
[CV] c1=0.4361389454310974, c2=0.030466475352151603 ..................
[CV]  c1=0.4361389454310974, c2=0.030466475352151603, score=0.749010 -   1.5s
[CV] c1=1.6408599975195506, c2=0.0032027437410889303 .................
[CV]  c1=1.6408599975195506, c2=0.0032027437410889303, score=0.603781 -   1.3s
[CV] c1=0.3520438915228157, c2=0.0014019508949151534 .................
[CV]  c1=0.3520438915228157, c2=0.0014019508949151534, score=0.859913 -   1.3s
[CV] c1=0.12030206941271701, c2=0.020294449848914486 .................
[CV]  c1=0.12030206941271701, c2=0.020294449848914486, score=0.824354 -   1.3s
[CV] c1=0.10508928795536761, c2=0.13103642380243688 ..................
[CV]  c1=0.10508928795536761, c2=0.13103642380243688, score=0.866022 -   1.3s
[CV] c1=0.8051953546985867, c2=0.055098982847163094 ..................
[CV]  c1=0.8051953546985867, c2=0.055098982847163094, score=0.745507 -   1.3s
[CV] c1=0.14745168325250427, c2=0.03537307378402382 ..................
[CV]  c1=0.14745168325250427, c2=0.03537307378402382, score=0.775701 -   1.3s
[CV] c1=1.0196149454778112, c2=0.018024429087622626 ..................
[CV]  c1=1.0196149454778112, c2=0.018024429087622626, score=0.673986 -   1.3s
[CV] c1=0.12195010331920977, c2=0.05881268774145059 ..................
[CV]  c1=0.12195010331920977, c2=0.05881268774145059, score=0.781773 -   1.4s
[CV] c1=1.119527701977113, c2=0.05174373074680186 ....................
[CV]  c1=1.119527701977113, c2=0.05174373074680186, score=0.774670 -   1.2s
[CV] c1=0.38418722116505194, c2=0.028664498341232466 .................
[CV]  c1=0.38418722116505194, c2=0.028664498341232466, score=0.710693 -   1.1s
[CV] c1=0.15274836561666447, c2=0.007751868027381878 .................
[CV]  c1=0.15274836561666447, c2=0.007751868027381878, score=0.832432 -   1.2s
[CV] c1=0.7123889955834674, c2=0.1057653475140467 ....................
[CV]  c1=0.7123889955834674, c2=0.1057653475140467, score=0.684728 -   1.4s
[CV] c1=0.5914213449750162, c2=0.10541233105961703 ...................
[CV]  c1=0.5914213449750162, c2=0.10541233105961703, score=0.834559 -   1.3s
[CV] c1=0.6980497276817663, c2=0.20077891593253117 ...................
[CV]  c1=0.6980497276817663, c2=0.20077891593253117, score=0.802153 -   1.2s
[CV] c1=0.11639571314905514, c2=0.1391811799728809 ...................
[CV]  c1=0.11639571314905514, c2=0.1391811799728809, score=0.769665 -   1.3s
[CV] c1=0.011210413831221035, c2=0.006957820296969248 ................
[CV]  c1=0.011210413831221035, c2=0.006957820296969248, score=0.825019 -   1.3s
[CV] c1=0.16271498056117809, c2=0.13178906128507556 ..................
[CV]  c1=0.16271498056117809, c2=0.13178906128507556, score=0.767374 -   1.3s
[CV] c1=2.4544796240241826, c2=0.009151064514138359 ..................
[CV]  c1=2.4544796240241826, c2=0.009151064514138359, score=0.537264 -   1.2s
[CV] c1=0.09566502273877076, c2=0.019945316613382873 .................
[CV]  c1=0.09566502273877076, c2=0.019945316613382873, score=0.811368 -   1.2s
[CV] c1=0.1903400595993656, c2=0.037813808932587484 ..................
[CV]  c1=0.1903400595993656, c2=0.037813808932587484, score=0.808970 -   1.2s
[CV] c1=1.119527701977113, c2=0.05174373074680186 ....................
[CV]  c1=1.119527701977113, c2=0.05174373074680186, score=0.647861 -   1.2s
[CV] c1=0.02870044242775193, c2=0.005351759930348736 .................
[CV]  c1=0.02870044242775193, c2=0.005351759930348736, score=0.680159 -   0.9s
[CV] c1=0.5519358323426365, c2=0.08256442850323734 ...................
[CV]  c1=0.5519358323426365, c2=0.08256442850323734, score=0.834559 -   1.3s
[CV] c1=0.4361389454310974, c2=0.030466475352151603 ..................
[CV]  c1=0.4361389454310974, c2=0.030466475352151603, score=0.712028 -   1.0s
[CV] c1=0.3974249018566951, c2=0.07100632153008152 ...................
[CV]  c1=0.3974249018566951, c2=0.07100632153008152, score=0.742048 -   1.5s
[CV] c1=0.5987669040598155, c2=0.0455922248393585 ....................
[CV]  c1=0.5987669040598155, c2=0.0455922248393585, score=0.694278 -   1.1s
[CV] c1=0.04929852606941449, c2=0.027388248144298258 .................
[CV]  c1=0.04929852606941449, c2=0.027388248144298258, score=0.817730 -   1.2s
[CV] c1=0.28735127255174203, c2=0.09417892815126137 ..................
[CV]  c1=0.28735127255174203, c2=0.09417892815126137, score=0.863954 -   1.3s
[CV] c1=0.1022252241412175, c2=0.2155268344996633 ....................
[CV]  c1=0.1022252241412175, c2=0.2155268344996633, score=0.721382 -   1.0s
[CV] c1=0.16280481470810262, c2=0.009000602289164546 .................
[CV]  c1=0.16280481470810262, c2=0.009000602289164546, score=0.802040 -   1.3s
[CV] c1=0.7984093638828184, c2=0.026308866632922347 ..................
[CV]  c1=0.7984093638828184, c2=0.026308866632922347, score=0.722815 -   1.4s
[CV] c1=0.09566502273877076, c2=0.019945316613382873 .................
[CV]  c1=0.09566502273877076, c2=0.019945316613382873, score=0.776647 -   1.3s
[CV] c1=0.2530918072204023, c2=0.017946873465378283 ..................
[CV]  c1=0.2530918072204023, c2=0.017946873465378283, score=0.805250 -   1.3s
[CV] c1=1.314157376565944, c2=0.042194650081570806 ...................
[CV]  c1=1.314157376565944, c2=0.042194650081570806, score=0.598213 -   0.9s
[CV] c1=0.38418722116505194, c2=0.028664498341232466 .................
[CV]  c1=0.38418722116505194, c2=0.028664498341232466, score=0.803390 -   1.2s
[CV] c1=0.7592276647727351, c2=0.01828109546128388 ...................
[CV]  c1=0.7592276647727351, c2=0.01828109546128388, score=0.691117 -   1.3s
[CV] c1=0.3974249018566951, c2=0.07100632153008152 ...................
[CV]  c1=0.3974249018566951, c2=0.07100632153008152, score=0.829857 -   1.3s
[CV] c1=1.1488211798146426, c2=0.057067071198783015 ..................
[CV]  c1=1.1488211798146426, c2=0.057067071198783015, score=0.647861 -   1.3s
[CV] c1=0.04929852606941449, c2=0.027388248144298258 .................
[CV]  c1=0.04929852606941449, c2=0.027388248144298258, score=0.689696 -   1.0s
[CV] c1=0.6072351331401347, c2=0.02470962056876476 ...................
[CV]  c1=0.6072351331401347, c2=0.02470962056876476, score=0.785587 -   1.3s
[CV] c1=0.011210413831221035, c2=0.006957820296969248 ................
[CV]  c1=0.011210413831221035, c2=0.006957820296969248, score=0.761150 -   1.2s
[CV] c1=0.16280481470810262, c2=0.009000602289164546 .................
[CV]  c1=0.16280481470810262, c2=0.009000602289164546, score=0.832432 -   1.3s
[CV] c1=0.7984093638828184, c2=0.026308866632922347 ..................
[CV]  c1=0.7984093638828184, c2=0.026308866632922347, score=0.681814 -   1.3s
[CV] c1=1.3258759606743742, c2=0.0360065209976397 ....................
[CV]  c1=1.3258759606743742, c2=0.0360065209976397, score=0.559704 -   1.3s
[CV] c1=0.1903400595993656, c2=0.037813808932587484 ..................
[CV]  c1=0.1903400595993656, c2=0.037813808932587484, score=0.809203 -   1.3s
[CV] c1=1.119527701977113, c2=0.05174373074680186 ....................
[CV]  c1=1.119527701977113, c2=0.05174373074680186, score=0.653957 -   1.2s
[CV] c1=0.5957583308746607, c2=0.027967196345316504 ..................
[CV]  c1=0.5957583308746607, c2=0.027967196345316504, score=0.706360 -   0.9s
[CV] c1=0.5519358323426365, c2=0.08256442850323734 ...................
[CV]  c1=0.5519358323426365, c2=0.08256442850323734, score=0.734922 -   1.3s
[CV] c1=0.4361389454310974, c2=0.030466475352151603 ..................
[CV]  c1=0.4361389454310974, c2=0.030466475352151603, score=0.814155 -   1.4s
[CV] c1=1.6408599975195506, c2=0.0032027437410889303 .................
[CV]  c1=1.6408599975195506, c2=0.0032027437410889303, score=0.588889 -   1.0s
[CV] c1=0.5987669040598155, c2=0.0455922248393585 ....................
[CV]  c1=0.5987669040598155, c2=0.0455922248393585, score=0.709285 -   1.3s
[CV] c1=1.0015812557418657, c2=0.005919748014467218 ..................
[CV]  c1=1.0015812557418657, c2=0.005919748014467218, score=0.767953 -   1.2s
[CV] c1=0.28735127255174203, c2=0.09417892815126137 ..................
[CV]  c1=0.28735127255174203, c2=0.09417892815126137, score=0.805946 -   1.3s
[CV] c1=0.18428557082598732, c2=0.02185806758616191 ..................
[CV]  c1=0.18428557082598732, c2=0.02185806758616191, score=0.883194 -   1.2s
[CV] c1=0.6408391636371912, c2=0.030453599719068816 ..................
[CV]  c1=0.6408391636371912, c2=0.030453599719068816, score=0.694278 -   1.0s
[CV] c1=0.3795099754890298, c2=0.07120772181663593 ...................
[CV]  c1=0.3795099754890298, c2=0.07120772181663593, score=0.742048 -   1.3s
[CV] c1=0.09819018737130736, c2=0.08659856070382341 ..................
[CV]  c1=0.09819018737130736, c2=0.08659856070382341, score=0.775701 -   1.4s
[CV] c1=2.287601711311743, c2=0.014152839577054259 ...................
[CV]  c1=2.287601711311743, c2=0.014152839577054259, score=0.493776 -   1.0s
[CV] c1=0.3911747415401969, c2=0.045146829011288477 ..................
[CV]  c1=0.3911747415401969, c2=0.045146829011288477, score=0.866465 -   1.1s
[CV] c1=1.2564881311250184, c2=0.00607490119516461 ...................
[CV]  c1=1.2564881311250184, c2=0.00607490119516461, score=0.571935 -   1.3s
[CV] c1=0.457314534537521, c2=0.061773738838978326 ...................
[CV]  c1=0.457314534537521, c2=0.061773738838978326, score=0.766827 -   1.2s
[CV] c1=0.33746087058391466, c2=0.01164160224264707 ..................
[CV]  c1=0.33746087058391466, c2=0.01164160224264707, score=0.785549 -   1.4s
[CV] c1=0.4829742371023688, c2=0.0294490420460045 ....................
[CV]  c1=0.4829742371023688, c2=0.0294490420460045, score=0.732294 -   1.3s
[CV] c1=0.5328421744887483, c2=0.11198494673866899 ...................
[CV]  c1=0.5328421744887483, c2=0.11198494673866899, score=0.755844 -   1.2s
[CV] c1=0.6072351331401347, c2=0.02470962056876476 ...................
[CV]  c1=0.6072351331401347, c2=0.02470962056876476, score=0.752738 -   1.2s
[CV] c1=0.7293365835477575, c2=0.2736396314330231 ....................
[CV]  c1=0.7293365835477575, c2=0.2736396314330231, score=0.637501 -   1.3s
[CV] c1=0.16280481470810262, c2=0.009000602289164546 .................
[CV]  c1=0.16280481470810262, c2=0.009000602289164546, score=0.761941 -   1.3s
[CV] c1=2.4544796240241826, c2=0.009151064514138359 ..................
[CV]  c1=2.4544796240241826, c2=0.009151064514138359, score=0.605532 -   1.2s
[CV] c1=0.09566502273877076, c2=0.019945316613382873 .................
[CV]  c1=0.09566502273877076, c2=0.019945316613382873, score=0.831741 -   1.3s
[CV] c1=0.2530918072204023, c2=0.017946873465378283 ..................
[CV]  c1=0.2530918072204023, c2=0.017946873465378283, score=0.872537 -   1.4s
[CV] c1=0.3911747415401969, c2=0.045146829011288477 ..................
[CV]  c1=0.3911747415401969, c2=0.045146829011288477, score=0.803390 -   1.1s
[CV] c1=0.11915004316471203, c2=0.0961045666028588 ...................
[CV]  c1=0.11915004316471203, c2=0.0961045666028588, score=0.713024 -   0.9s
[CV] c1=0.5883267287557835, c2=0.08003851675955823 ...................
[CV]  c1=0.5883267287557835, c2=0.08003851675955823, score=0.694993 -   1.0s
[CV] c1=0.851350270314848, c2=0.01383531264810193 ....................
[CV]  c1=0.851350270314848, c2=0.01383531264810193, score=0.834226 -   1.3s
[CV] c1=1.6408599975195506, c2=0.0032027437410889303 .................
[CV]  c1=1.6408599975195506, c2=0.0032027437410889303, score=0.755207 -   1.2s
[CV] c1=0.9498916644895157, c2=0.011547245372256229 ..................
[CV]  c1=0.9498916644895157, c2=0.011547245372256229, score=0.658230 -   1.0s
[CV] c1=1.0015812557418657, c2=0.005919748014467218 ..................
[CV]  c1=1.0015812557418657, c2=0.005919748014467218, score=0.661219 -   1.3s
[CV] c1=0.28735127255174203, c2=0.09417892815126137 ..................
[CV]  c1=0.28735127255174203, c2=0.09417892815126137, score=0.800436 -   1.3s
[CV] c1=0.1022252241412175, c2=0.2155268344996633 ....................
[CV]  c1=0.1022252241412175, c2=0.2155268344996633, score=0.790223 -   1.3s
[CV] c1=0.6408391636371912, c2=0.030453599719068816 ..................
[CV]  c1=0.6408391636371912, c2=0.030453599719068816, score=0.821862 -   1.3s
[CV] c1=1.0429419741508672, c2=0.004827821280687988 ..................
[CV]  c1=1.0429419741508672, c2=0.004827821280687988, score=0.655279 -   1.0s
[CV] c1=0.09819018737130736, c2=0.08659856070382341 ..................
[CV]  c1=0.09819018737130736, c2=0.08659856070382341, score=0.786984 -   1.3s
[CV] c1=0.2530918072204023, c2=0.017946873465378283 ..................
[CV]  c1=0.2530918072204023, c2=0.017946873465378283, score=0.816082 -   1.3s
[CV] c1=0.3911747415401969, c2=0.045146829011288477 ..................
[CV]  c1=0.3911747415401969, c2=0.045146829011288477, score=0.778734 -   1.1s
[CV] c1=0.5957583308746607, c2=0.027967196345316504 ..................
[CV]  c1=0.5957583308746607, c2=0.027967196345316504, score=0.825202 -   1.1s
[CV] c1=0.5519358323426365, c2=0.08256442850323734 ...................
[CV]  c1=0.5519358323426365, c2=0.08256442850323734, score=0.774166 -   1.3s
[CV] c1=0.851350270314848, c2=0.01383531264810193 ....................
[CV]  c1=0.851350270314848, c2=0.01383531264810193, score=0.691117 -   1.4s
[CV] c1=0.16717888414915125, c2=0.033781902668193045 .................
[CV]  c1=0.16717888414915125, c2=0.033781902668193045, score=0.817155 -   1.2s
[CV] c1=0.3520438915228157, c2=0.0014019508949151534 .................
[CV]  c1=0.3520438915228157, c2=0.0014019508949151534, score=0.725541 -   1.0s
[CV] c1=0.8728181619686448, c2=0.043488258250163114 ..................
[CV]  c1=0.8728181619686448, c2=0.043488258250163114, score=0.740176 -   1.2s
[CV] c1=0.41442059973278683, c2=0.016513368437915867 .................
[CV]  c1=0.41442059973278683, c2=0.016513368437915867, score=0.798182 -   1.3s
[CV] c1=0.0015490202491388206, c2=0.1276762827993296 .................
[CV]  c1=0.0015490202491388206, c2=0.1276762827993296, score=0.881050 -   1.2s
[CV] c1=2.301144264451963, c2=0.03590102672526169 ....................
[CV]  c1=2.301144264451963, c2=0.03590102672526169, score=0.610592 -   1.3s
[CV] c1=0.21494522795644497, c2=0.010842058055536305 .................
[CV]  c1=0.21494522795644497, c2=0.010842058055536305, score=0.889799 -   1.2s
[CV] c1=0.7391685112521641, c2=0.016449431513424394 ..................
[CV]  c1=0.7391685112521641, c2=0.016449431513424394, score=0.692335 -   1.0s
[CV] c1=2.287601711311743, c2=0.014152839577054259 ...................
[CV]  c1=2.287601711311743, c2=0.014152839577054259, score=0.529109 -   1.3s
[CV] c1=0.2161331388264357, c2=0.034686331390180555 ..................
[CV]  c1=0.2161331388264357, c2=0.034686331390180555, score=0.711023 -   0.8s
[CV] c1=0.11915004316471203, c2=0.0961045666028588 ...................
[CV]  c1=0.11915004316471203, c2=0.0961045666028588, score=0.771997 -   1.3s
[CV] c1=0.7592276647727351, c2=0.01828109546128388 ...................
[CV]  c1=0.7592276647727351, c2=0.01828109546128388, score=0.698037 -   1.0s
[CV] c1=0.7123889955834674, c2=0.1057653475140467 ....................
[CV]  c1=0.7123889955834674, c2=0.1057653475140467, score=0.641397 -   1.0s
[CV] c1=0.16717888414915125, c2=0.033781902668193045 .................
[CV]  c1=0.16717888414915125, c2=0.033781902668193045, score=0.713024 -   1.0s
[CV] c1=0.9498916644895157, c2=0.011547245372256229 ..................
[CV]  c1=0.9498916644895157, c2=0.011547245372256229, score=0.847920 -   1.3s
[CV] c1=0.8728181619686448, c2=0.043488258250163114 ..................
[CV]  c1=0.8728181619686448, c2=0.043488258250163114, score=0.823477 -   1.3s
[CV] c1=0.41442059973278683, c2=0.016513368437915867 .................
[CV]  c1=0.41442059973278683, c2=0.016513368437915867, score=0.724012 -   1.0s
[CV] c1=0.1022252241412175, c2=0.2155268344996633 ....................
[CV]  c1=0.1022252241412175, c2=0.2155268344996633, score=0.739831 -   1.3s
[CV] c1=0.914071582425376, c2=0.0007496407122433886 ..................
[CV]  c1=0.914071582425376, c2=0.0007496407122433886, score=0.745507 -   1.2s
[CV] c1=0.3795099754890298, c2=0.07120772181663593 ...................
[CV]  c1=0.3795099754890298, c2=0.07120772181663593, score=0.790635 -   1.3s
[CV] c1=0.15829027594536016, c2=0.10638937292444227 ..................
[CV]  c1=0.15829027594536016, c2=0.10638937292444227, score=0.868656 -   1.2s
[CV] c1=2.287601711311743, c2=0.014152839577054259 ...................
[CV]  c1=2.287601711311743, c2=0.014152839577054259, score=0.734732 -   1.2s
[CV] c1=1.314157376565944, c2=0.042194650081570806 ...................
[CV]  c1=1.314157376565944, c2=0.042194650081570806, score=0.770643 -   1.1s
[CV] c1=0.38418722116505194, c2=0.028664498341232466 .................
[CV]  c1=0.38418722116505194, c2=0.028664498341232466, score=0.814155 -   1.3s
[CV] c1=0.0021136440754318986, c2=0.014647005943357244 ...............
[CV]  c1=0.0021136440754318986, c2=0.014647005943357244, score=0.812496 -   1.3s
[CV] c1=0.3974249018566951, c2=0.07100632153008152 ...................
[CV]  c1=0.3974249018566951, c2=0.07100632153008152, score=0.815886 -   1.3s
[CV] c1=0.5987669040598155, c2=0.0455922248393585 ....................
[CV]  c1=0.5987669040598155, c2=0.0455922248393585, score=0.825202 -   1.3s
[CV] c1=1.0015812557418657, c2=0.005919748014467218 ..................
[CV]  c1=1.0015812557418657, c2=0.005919748014467218, score=0.655279 -   1.0s
[CV] c1=0.11639571314905514, c2=0.1391811799728809 ...................
[CV]  c1=0.11639571314905514, c2=0.1391811799728809, score=0.795432 -   1.3s
[CV] c1=0.011210413831221035, c2=0.006957820296969248 ................
[CV]  c1=0.011210413831221035, c2=0.006957820296969248, score=0.797370 -   1.3s
[CV] c1=0.16271498056117809, c2=0.13178906128507556 ..................
[CV]  c1=0.16271498056117809, c2=0.13178906128507556, score=0.794649 -   1.3s
[CV] c1=2.4544796240241826, c2=0.009151064514138359 ..................
[CV]  c1=2.4544796240241826, c2=0.009151064514138359, score=0.516821 -   1.3s
[CV] c1=0.09819018737130736, c2=0.08659856070382341 ..................
[CV]  c1=0.09819018737130736, c2=0.08659856070382341, score=0.798732 -   1.3s
[CV] c1=0.2530918072204023, c2=0.017946873465378283 ..................
[CV]  c1=0.2530918072204023, c2=0.017946873465378283, score=0.798929 -   1.3s
[CV] c1=0.3911747415401969, c2=0.045146829011288477 ..................
[CV]  c1=0.3911747415401969, c2=0.045146829011288477, score=0.796130 -   1.1s
[CV] c1=0.7192050875786047, c2=0.02405822560340126 ...................
[CV]  c1=0.7192050875786047, c2=0.02405822560340126, score=0.817292 -   1.2s
[CV] c1=0.7592276647727351, c2=0.01828109546128388 ...................
[CV]  c1=0.7592276647727351, c2=0.01828109546128388, score=0.722815 -   1.3s
[CV] c1=0.6087925338007124, c2=0.021650393272846045 ..................
[CV]  c1=0.6087925338007124, c2=0.021650393272846045, score=0.785587 -   1.2s
[CV] c1=1.1488211798146426, c2=0.057067071198783015 ..................
[CV]  c1=1.1488211798146426, c2=0.057067071198783015, score=0.615765 -   1.0s
[CV] c1=0.5328421744887483, c2=0.11198494673866899 ...................
[CV]  c1=0.5328421744887483, c2=0.11198494673866899, score=0.679439 -   1.0s
[CV] c1=0.713648255360611, c2=0.055659426467217776 ...................
[CV]  c1=0.713648255360611, c2=0.055659426467217776, score=0.745507 -   1.2s
[CV] c1=0.10508928795536761, c2=0.13103642380243688 ..................
[CV]  c1=0.10508928795536761, c2=0.13103642380243688, score=0.775701 -   1.4s
[CV] c1=0.29691675348218033, c2=0.07142267955504464 ..................
[CV]  c1=0.29691675348218033, c2=0.07142267955504464, score=0.860401 -   1.2s
[CV] c1=0.27177289218601863, c2=0.10347760842330794 ..................
[CV]  c1=0.27177289218601863, c2=0.10347760842330794, score=0.859343 -   1.2s
[CV] c1=0.00034483535353135766, c2=0.001838416768475546 ..............
[CV]  c1=0.00034483535353135766, c2=0.001838416768475546, score=0.734523 -   1.0s
[CV] c1=0.7391685112521641, c2=0.016449431513424394 ..................
[CV]  c1=0.7391685112521641, c2=0.016449431513424394, score=0.756748 -   1.2s
[CV] c1=0.39027699249918274, c2=0.020505588254229972 .................
[CV]  c1=0.39027699249918274, c2=0.020505588254229972, score=0.712028 -   1.0s
[CV] c1=1.314157376565944, c2=0.042194650081570806 ...................
[CV]  c1=1.314157376565944, c2=0.042194650081570806, score=0.691681 -   1.0s
[CV] c1=0.10788363637482118, c2=0.11075226613957934 ..................
[CV]  c1=0.10788363637482118, c2=0.11075226613957934, score=0.795432 -   1.2s
[CV] c1=0.15274836561666447, c2=0.007751868027381878 .................
[CV]  c1=0.15274836561666447, c2=0.007751868027381878, score=0.812120 -   1.3s
[CV] c1=0.897820990062489, c2=0.01409599376158045 ....................
[CV]  c1=0.897820990062489, c2=0.01409599376158045, score=0.691117 -   1.3s
[CV] c1=0.4306835720631915, c2=0.06963895547143988 ...................
[CV]  c1=0.4306835720631915, c2=0.06963895547143988, score=0.782185 -   1.3s
[CV] c1=0.6980497276817663, c2=0.20077891593253117 ...................
[CV]  c1=0.6980497276817663, c2=0.20077891593253117, score=0.590466 -   1.0s
[CV] c1=0.4819625142983028, c2=0.06585025640900366 ...................
[CV]  c1=0.4819625142983028, c2=0.06585025640900366, score=0.709187 -   1.0s
[CV] c1=0.7942823817918734, c2=0.022965617469841496 ..................
[CV]  c1=0.7942823817918734, c2=0.022965617469841496, score=0.691117 -   1.3s
[CV] c1=0.8051953546985867, c2=0.055098982847163094 ..................
[CV]  c1=0.8051953546985867, c2=0.055098982847163094, score=0.823477 -   1.2s
[CV] c1=0.14745168325250427, c2=0.03537307378402382 ..................
[CV]  c1=0.14745168325250427, c2=0.03537307378402382, score=0.694828 -   1.0s
[CV] c1=0.08576557654651505, c2=0.14576145001219648 ..................
[CV]  c1=0.08576557654651505, c2=0.14576145001219648, score=0.872450 -   1.2s
[CV] c1=0.3866723805943954, c2=0.011614754989910027 ..................
[CV]  c1=0.3866723805943954, c2=0.011614754989910027, score=0.878962 -   1.2s
[CV] c1=0.25335627573734804, c2=0.01934621669200144 ..................
[CV]  c1=0.25335627573734804, c2=0.01934621669200144, score=0.724207 -   1.0s
[CV] c1=1.314157376565944, c2=0.042194650081570806 ...................
[CV]  c1=1.314157376565944, c2=0.042194650081570806, score=0.626664 -   1.1s
[CV] c1=0.02870044242775193, c2=0.005351759930348736 .................
[CV]  c1=0.02870044242775193, c2=0.005351759930348736, score=0.803979 -   1.1s
[CV] c1=0.6365720942469913, c2=0.10954654103723067 ...................
[CV]  c1=0.6365720942469913, c2=0.10954654103723067, score=0.826649 -   1.3s
[CV] c1=0.851350270314848, c2=0.01383531264810193 ....................
[CV]  c1=0.851350270314848, c2=0.01383531264810193, score=0.745507 -   1.3s
[CV] c1=1.6408599975195506, c2=0.0032027437410889303 .................
[CV]  c1=1.6408599975195506, c2=0.0032027437410889303, score=0.685950 -   1.2s
[CV] c1=0.9498916644895157, c2=0.011547245372256229 ..................
[CV]  c1=0.9498916644895157, c2=0.011547245372256229, score=0.745507 -   1.3s
[CV] c1=0.12030206941271701, c2=0.020294449848914486 .................
[CV]  c1=0.12030206941271701, c2=0.020294449848914486, score=0.871600 -   1.3s
[CV] c1=0.7942823817918734, c2=0.022965617469841496 ..................
[CV]  c1=0.7942823817918734, c2=0.022965617469841496, score=0.745507 -   1.2s
[CV] c1=0.0015490202491388206, c2=0.1276762827993296 .................
[CV]  c1=0.0015490202491388206, c2=0.1276762827993296, score=0.813590 -   1.3s
[CV] c1=2.301144264451963, c2=0.03590102672526169 ....................
[CV]  c1=2.301144264451963, c2=0.03590102672526169, score=0.516821 -   1.3s
[CV] c1=0.21494522795644497, c2=0.010842058055536305 .................
[CV]  c1=0.21494522795644497, c2=0.010842058055536305, score=0.725541 -   1.0s
[CV] c1=0.3866723805943954, c2=0.011614754989910027 ..................
[CV]  c1=0.3866723805943954, c2=0.011614754989910027, score=0.722677 -   1.1s
[CV] c1=2.287601711311743, c2=0.014152839577054259 ...................
[CV]  c1=2.287601711311743, c2=0.014152839577054259, score=0.578074 -   1.3s
[CV] c1=1.314157376565944, c2=0.042194650081570806 ...................
[CV]  c1=1.314157376565944, c2=0.042194650081570806, score=0.559704 -   1.0s
[CV] c1=0.5957583308746607, c2=0.027967196345316504 ..................
[CV]  c1=0.5957583308746607, c2=0.027967196345316504, score=0.770241 -   1.2s
[CV] c1=0.5883267287557835, c2=0.08003851675955823 ...................
[CV]  c1=0.5883267287557835, c2=0.08003851675955823, score=0.703966 -   1.3s
[CV] c1=0.33746087058391466, c2=0.01164160224264707 ..................
[CV]  c1=0.33746087058391466, c2=0.01164160224264707, score=0.867529 -   1.3s
[CV] c1=0.5320968401212798, c2=0.008538533926749687 ..................
[CV]  c1=0.5320968401212798, c2=0.008538533926749687, score=0.768565 -   1.2s
[CV] c1=0.3050750811672748, c2=0.08423127665558636 ...................
[CV]  c1=0.3050750811672748, c2=0.08423127665558636, score=0.706748 -   1.0s
[CV] c1=0.8728181619686448, c2=0.043488258250163114 ..................
[CV]  c1=0.8728181619686448, c2=0.043488258250163114, score=0.673986 -   1.3s
[CV] c1=0.7942823817918734, c2=0.022965617469841496 ..................
[CV]  c1=0.7942823817918734, c2=0.022965617469841496, score=0.661925 -   1.1s
[CV] c1=0.18428557082598732, c2=0.02185806758616191 ..................
[CV]  c1=0.18428557082598732, c2=0.02185806758616191, score=0.809203 -   1.3s
[CV] c1=0.6408391636371912, c2=0.030453599719068816 ..................
[CV]  c1=0.6408391636371912, c2=0.030453599719068816, score=0.756141 -   1.3s
[CV] c1=1.0429419741508672, c2=0.004827821280687988 ..................
[CV]  c1=1.0429419741508672, c2=0.004827821280687988, score=0.630654 -   1.3s
[CV] c1=0.3866723805943954, c2=0.011614754989910027 ..................
[CV]  c1=0.3866723805943954, c2=0.011614754989910027, score=0.787942 -   1.3s
[CV] c1=0.25335627573734804, c2=0.01934621669200144 ..................
[CV]  c1=0.25335627573734804, c2=0.01934621669200144, score=0.798732 -   1.2s
[CV] c1=0.2161331388264357, c2=0.034686331390180555 ..................
[CV]  c1=0.2161331388264357, c2=0.034686331390180555, score=0.807541 -   0.9s
[CV] c1=0.7192050875786047, c2=0.02405822560340126 ...................
[CV]  c1=0.7192050875786047, c2=0.02405822560340126, score=0.752801 -   1.2s
[CV] c1=0.0021136440754318986, c2=0.014647005943357244 ...............
[CV]  c1=0.0021136440754318986, c2=0.014647005943357244, score=0.694521 -   1.0s
[CV] c1=0.897820990062489, c2=0.01409599376158045 ....................
[CV]  c1=0.897820990062489, c2=0.01409599376158045, score=0.745507 -   1.2s
[CV] c1=0.4306835720631915, c2=0.06963895547143988 ...................
[CV]  c1=0.4306835720631915, c2=0.06963895547143988, score=0.693919 -   1.0s
[CV] c1=0.3050750811672748, c2=0.08423127665558636 ...................
[CV]  c1=0.3050750811672748, c2=0.08423127665558636, score=0.751804 -   1.2s
[CV] c1=0.713648255360611, c2=0.055659426467217776 ...................
[CV]  c1=0.713648255360611, c2=0.055659426467217776, score=0.658385 -   1.0s
[CV] c1=0.7942823817918734, c2=0.022965617469841496 ..................
[CV]  c1=0.7942823817918734, c2=0.022965617469841496, score=0.822336 -   1.2s
[CV] c1=0.18428557082598732, c2=0.02185806758616191 ..................
[CV]  c1=0.18428557082598732, c2=0.02185806758616191, score=0.810769 -   1.2s
[CV] c1=0.6408391636371912, c2=0.030453599719068816 ..................
[CV]  c1=0.6408391636371912, c2=0.030453599719068816, score=0.785587 -   1.3s
[CV] c1=0.08576557654651505, c2=0.14576145001219648 ..................
[CV]  c1=0.08576557654651505, c2=0.14576145001219648, score=0.777470 -   1.3s
[CV] c1=0.3866723805943954, c2=0.011614754989910027 ..................
[CV]  c1=0.3866723805943954, c2=0.011614754989910027, score=0.799666 -   1.2s
[CV] c1=0.25335627573734804, c2=0.01934621669200144 ..................
[CV]  c1=0.25335627573734804, c2=0.01934621669200144, score=0.806810 -   1.3s
[CV] c1=0.1722042845118049, c2=0.19948236699783653 ...................
[CV]  c1=0.1722042845118049, c2=0.19948236699783653, score=0.707149 -   0.8s
[CV] c1=0.10788363637482118, c2=0.11075226613957934 ..................
[CV]  c1=0.10788363637482118, c2=0.11075226613957934, score=0.707632 -   1.0s
[CV] c1=0.6365720942469913, c2=0.10954654103723067 ...................
[CV]  c1=0.6365720942469913, c2=0.10954654103723067, score=0.679635 -   1.3s
[CV] c1=0.860782135481723, c2=0.022076626114594627 ...................
[CV]  c1=0.860782135481723, c2=0.022076626114594627, score=0.658230 -   1.0s
[CV] c1=0.43888061746729035, c2=0.11370971887155337 ..................
[CV]  c1=0.43888061746729035, c2=0.11370971887155337, score=0.784780 -   1.3s
[CV] c1=0.9498916644895157, c2=0.011547245372256229 ..................
[CV]  c1=0.9498916644895157, c2=0.011547245372256229, score=0.689021 -   1.2s
[CV] c1=0.8728181619686448, c2=0.043488258250163114 ..................
[CV]  c1=0.8728181619686448, c2=0.043488258250163114, score=0.690762 -   1.3s
[CV] c1=0.41442059973278683, c2=0.016513368437915867 .................
[CV]  c1=0.41442059973278683, c2=0.016513368437915867, score=0.808011 -   1.3s
[CV] c1=0.0015490202491388206, c2=0.1276762827993296 .................
[CV]  c1=0.0015490202491388206, c2=0.1276762827993296, score=0.750200 -   0.9s
[CV] c1=0.914071582425376, c2=0.0007496407122433886 ..................
[CV]  c1=0.914071582425376, c2=0.0007496407122433886, score=0.672171 -   1.3s
[CV] c1=1.0429419741508672, c2=0.004827821280687988 ..................
[CV]  c1=1.0429419741508672, c2=0.004827821280687988, score=0.841744 -   1.2s
[CV] c1=0.15829027594536016, c2=0.10638937292444227 ..................
[CV]  c1=0.15829027594536016, c2=0.10638937292444227, score=0.770284 -   1.3s
[CV] c1=2.287601711311743, c2=0.014152839577054259 ...................
[CV]  c1=2.287601711311743, c2=0.014152839577054259, score=0.612316 -   1.4s
[CV] c1=0.2161331388264357, c2=0.034686331390180555 ..................
[CV]  c1=0.2161331388264357, c2=0.034686331390180555, score=0.874944 -   0.9s
[CV] c1=1.4293460985640625, c2=0.10658468976265892 ...................
[CV]  c1=1.4293460985640625, c2=0.10658468976265892, score=0.592706 -   1.3s
[CV] c1=0.15274836561666447, c2=0.007751868027381878 .................
[CV]  c1=0.15274836561666447, c2=0.007751868027381878, score=0.889506 -   1.2s
[CV] c1=0.33746087058391466, c2=0.01164160224264707 ..................
[CV]  c1=0.33746087058391466, c2=0.01164160224264707, score=0.800830 -   1.3s
[CV] c1=0.4829742371023688, c2=0.0294490420460045 ....................
[CV]  c1=0.4829742371023688, c2=0.0294490420460045, score=0.706360 -   1.0s
[CV] c1=0.3520438915228157, c2=0.0014019508949151534 .................
[CV]  c1=0.3520438915228157, c2=0.0014019508949151534, score=0.790060 -   1.3s
[CV] c1=0.713648255360611, c2=0.055659426467217776 ...................
[CV]  c1=0.713648255360611, c2=0.055659426467217776, score=0.839349 -   1.3s
[CV] c1=0.10508928795536761, c2=0.13103642380243688 ..................
[CV]  c1=0.10508928795536761, c2=0.13103642380243688, score=0.795432 -   1.3s
[CV] c1=0.8051953546985867, c2=0.055098982847163094 ..................
[CV]  c1=0.8051953546985867, c2=0.055098982847163094, score=0.722815 -   1.3s
[CV] c1=0.1997137518150199, c2=0.016377912456060743 ..................
[CV]  c1=0.1997137518150199, c2=0.016377912456060743, score=0.874266 -   1.2s
[CV] c1=1.0196149454778112, c2=0.018024429087622626 ..................
[CV]  c1=1.0196149454778112, c2=0.018024429087622626, score=0.827807 -   1.3s
[CV] c1=0.390019626745076, c2=0.055903069084175784 ...................
[CV]  c1=0.390019626745076, c2=0.055903069084175784, score=0.710693 -   1.1s
[CV] c1=0.39027699249918274, c2=0.020505588254229972 .................
[CV]  c1=0.39027699249918274, c2=0.020505588254229972, score=0.775955 -   1.3s
[CV] c1=0.1722042845118049, c2=0.19948236699783653 ...................
[CV]  c1=0.1722042845118049, c2=0.19948236699783653, score=0.774598 -   0.8s
[CV] c1=0.02870044242775193, c2=0.005351759930348736 .................
[CV]  c1=0.02870044242775193, c2=0.005351759930348736, score=0.790404 -   1.3s
[CV] c1=0.6365720942469913, c2=0.10954654103723067 ...................
[CV]  c1=0.6365720942469913, c2=0.10954654103723067, score=0.762682 -   1.3s
[CV] c1=0.860782135481723, c2=0.022076626114594627 ...................
[CV]  c1=0.860782135481723, c2=0.022076626114594627, score=0.745507 -   1.2s
[CV] c1=0.16717888414915125, c2=0.033781902668193045 .................
[CV]  c1=0.16717888414915125, c2=0.033781902668193045, score=0.873418 -   1.5s
[CV] c1=0.3050750811672748, c2=0.08423127665558636 ...................
[CV]  c1=0.3050750811672748, c2=0.08423127665558636, score=0.812288 -   1.3s
[CV] c1=0.6072351331401347, c2=0.02470962056876476 ...................
[CV]  c1=0.6072351331401347, c2=0.02470962056876476, score=0.706360 -   1.0s
[CV] c1=0.10508928795536761, c2=0.13103642380243688 ..................
[CV]  c1=0.10508928795536761, c2=0.13103642380243688, score=0.710412 -   1.0s
[CV] c1=0.18428557082598732, c2=0.02185806758616191 ..................
[CV]  c1=0.18428557082598732, c2=0.02185806758616191, score=0.778719 -   1.2s
[CV] c1=2.301144264451963, c2=0.03590102672526169 ....................
[CV]  c1=2.301144264451963, c2=0.03590102672526169, score=0.503070 -   1.0s
[CV] c1=1.0429419741508672, c2=0.004827821280687988 ..................
[CV]  c1=1.0429419741508672, c2=0.004827821280687988, score=0.670522 -   1.3s
[CV] c1=0.15829027594536016, c2=0.10638937292444227 ..................
[CV]  c1=0.15829027594536016, c2=0.10638937292444227, score=0.799858 -   1.3s
[CV] c1=0.25335627573734804, c2=0.01934621669200144 ..................
[CV]  c1=0.25335627573734804, c2=0.01934621669200144, score=0.870426 -   1.3s
[CV] c1=0.2161331388264357, c2=0.034686331390180555 ..................
[CV]  c1=0.2161331388264357, c2=0.034686331390180555, score=0.804519 -   0.9s
[CV] c1=0.10788363637482118, c2=0.11075226613957934 ..................
[CV]  c1=0.10788363637482118, c2=0.11075226613957934, score=0.775701 -   1.3s
[CV] c1=0.060890801062102845, c2=0.040703343618388926 ................
[CV]  c1=0.060890801062102845, c2=0.040703343618388926, score=0.806408 -   1.2s
[CV] c1=0.6087925338007124, c2=0.021650393272846045 ..................
[CV]  c1=0.6087925338007124, c2=0.021650393272846045, score=0.833053 -   1.3s
[CV] c1=0.5914213449750162, c2=0.10541233105961703 ...................
[CV]  c1=0.5914213449750162, c2=0.10541233105961703, score=0.765271 -   1.4s
[CV] c1=0.04929852606941449, c2=0.027388248144298258 .................
[CV]  c1=0.04929852606941449, c2=0.027388248144298258, score=0.785358 -   1.3s
[CV] c1=0.28735127255174203, c2=0.09417892815126137 ..................
[CV]  c1=0.28735127255174203, c2=0.09417892815126137, score=0.679722 -   1.1s
[CV] c1=0.7684831298983067, c2=0.08151539587126498 ...................
[CV]  c1=0.7684831298983067, c2=0.08151539587126498, score=0.654795 -   1.0s
[CV] c1=0.29691675348218033, c2=0.07142267955504464 ..................
[CV]  c1=0.29691675348218033, c2=0.07142267955504464, score=0.684123 -   1.0s
[CV] c1=0.14745168325250427, c2=0.03537307378402382 ..................
[CV]  c1=0.14745168325250427, c2=0.03537307378402382, score=0.817155 -   1.2s
[CV] c1=0.21494522795644497, c2=0.010842058055536305 .................
[CV]  c1=0.21494522795644497, c2=0.010842058055536305, score=0.799624 -   1.2s
[CV] c1=0.7391685112521641, c2=0.016449431513424394 ..................
[CV]  c1=0.7391685112521641, c2=0.016449431513424394, score=0.722815 -   1.3s
[CV] c1=0.9825674255793271, c2=0.02467919449697978 ...................
[CV]  c1=0.9825674255793271, c2=0.02467919449697978, score=0.653513 -   1.0s
[CV] c1=0.1722042845118049, c2=0.19948236699783653 ...................
[CV]  c1=0.1722042845118049, c2=0.19948236699783653, score=0.861491 -   1.0s
[CV] c1=0.38418722116505194, c2=0.028664498341232466 .................
[CV]  c1=0.38418722116505194, c2=0.028664498341232466, score=0.782742 -   1.3s
[CV] c1=0.0021136440754318986, c2=0.014647005943357244 ...............
[CV]  c1=0.0021136440754318986, c2=0.014647005943357244, score=0.893790 -   1.3s
[CV] c1=0.3974249018566951, c2=0.07100632153008152 ...................
[CV]  c1=0.3974249018566951, c2=0.07100632153008152, score=0.706360 -   1.0s
[CV] c1=0.4306835720631915, c2=0.06963895547143988 ...................
[CV]  c1=0.4306835720631915, c2=0.06963895547143988, score=0.759652 -   1.2s
[CV] c1=0.5328421744887483, c2=0.11198494673866899 ...................
[CV]  c1=0.5328421744887483, c2=0.11198494673866899, score=0.780034 -   1.3s
[CV] c1=0.11639571314905514, c2=0.1391811799728809 ...................
[CV]  c1=0.11639571314905514, c2=0.1391811799728809, score=0.872450 -   1.3s
[CV] c1=0.011210413831221035, c2=0.006957820296969248 ................
[CV]  c1=0.011210413831221035, c2=0.006957820296969248, score=0.744559 -   1.0s
[CV] c1=0.019348607164490862, c2=0.07501217569303219 .................
[CV]  c1=0.019348607164490862, c2=0.07501217569303219, score=0.753422 -   1.0s
[CV] c1=2.301144264451963, c2=0.03590102672526169 ....................
[CV]  c1=2.301144264451963, c2=0.03590102672526169, score=0.568476 -   1.3s
[CV] c1=0.08576557654651505, c2=0.14576145001219648 ..................
[CV]  c1=0.08576557654651505, c2=0.14576145001219648, score=0.795432 -   1.2s
[CV] c1=0.7391685112521641, c2=0.016449431513424394 ..................
[CV]  c1=0.7391685112521641, c2=0.016449431513424394, score=0.827333 -   1.3s
[CV] c1=0.39027699249918274, c2=0.020505588254229972 .................
[CV]  c1=0.39027699249918274, c2=0.020505588254229972, score=0.879300 -   1.2s
[CV] c1=0.1722042845118049, c2=0.19948236699783653 ...................
[CV]  c1=0.1722042845118049, c2=0.19948236699783653, score=0.737328 -   1.0s
[CV] c1=1.4293460985640625, c2=0.10658468976265892 ...................
[CV]  c1=1.4293460985640625, c2=0.10658468976265892, score=0.545534 -   1.0s
[CV] c1=0.6365720942469913, c2=0.10954654103723067 ...................
[CV]  c1=0.6365720942469913, c2=0.10954654103723067, score=0.730610 -   1.1s
[CV] c1=0.851350270314848, c2=0.01383531264810193 ....................
[CV]  c1=0.851350270314848, c2=0.01383531264810193, score=0.663163 -   1.1s
[CV] c1=0.43888061746729035, c2=0.11370971887155337 ..................
[CV]  c1=0.43888061746729035, c2=0.11370971887155337, score=0.737969 -   1.3s
[CV] c1=0.5987669040598155, c2=0.0455922248393585 ....................
[CV]  c1=0.5987669040598155, c2=0.0455922248393585, score=0.799541 -   1.3s
[CV] c1=0.8728181619686448, c2=0.043488258250163114 ..................
[CV]  c1=0.8728181619686448, c2=0.043488258250163114, score=0.653557 -   1.0s
[CV] c1=0.28735127255174203, c2=0.09417892815126137 ..................
[CV]  c1=0.28735127255174203, c2=0.09417892815126137, score=0.761664 -   1.4s
[CV] c1=0.1022252241412175, c2=0.2155268344996633 ....................
[CV]  c1=0.1022252241412175, c2=0.2155268344996633, score=0.757109 -   1.3s
[CV] c1=0.6408391636371912, c2=0.030453599719068816 ..................
[CV]  c1=0.6408391636371912, c2=0.030453599719068816, score=0.724177 -   1.3s
[CV] c1=1.0429419741508672, c2=0.004827821280687988 ..................
[CV]  c1=1.0429419741508672, c2=0.004827821280687988, score=0.740176 -   1.2s
[CV] c1=0.15829027594536016, c2=0.10638937292444227 ..................
[CV]  c1=0.15829027594536016, c2=0.10638937292444227, score=0.770325 -   1.4s
[CV] c1=0.25335627573734804, c2=0.01934621669200144 ..................
[CV]  c1=0.25335627573734804, c2=0.01934621669200144, score=0.837829 -   1.2s
[CV] c1=0.2161331388264357, c2=0.034686331390180555 ..................
[CV]  c1=0.2161331388264357, c2=0.034686331390180555, score=0.802826 -   0.9s
Training done in: 17.525516s
     Saving training model...
        Saving training model done in: 0.014307s
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Prediction done in: 0.029094s