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

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Run6_v12.txt 70.9 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: Run6
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: TrueS4: False
Run variant: 12
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: 0.003762s
-------------------------------- 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    word[:1]        :
11  postag[:1]        :
12    -2:lemma  culture
13   -2:postag      VBN
14    +2:lemma  minimal
15   +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
             0           1
0        lemma  delta-arca
1       postag          NN
2     -1:lemma           _
3    -1:postag          NN
4     +1:lemma           _
5    +1:postag          CD
6       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10    word[:1]           d
11    word[:2]          de
12  postag[:1]           N
13  postag[:2]          NN
14    -2:lemma     affyexp
15   -2:postag          JJ
16    +2:lemma     glucose
17   +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.9625828132767281, c2=0.01917876418509933 ...................
[CV]  c1=0.9625828132767281, c2=0.01917876418509933, score=0.678843 -   1.4s
[CV] c1=0.7515223609652881, c2=0.01924165234085291 ...................
[CV]  c1=0.7515223609652881, c2=0.01924165234085291, score=0.882517 -   1.4s
[CV] c1=0.054114644160106126, c2=0.04433442354727188 .................
[CV]  c1=0.054114644160106126, c2=0.04433442354727188, score=0.830620 -   1.3s
[CV] c1=0.46155452863562185, c2=0.02407470409229893 ..................
[CV]  c1=0.46155452863562185, c2=0.02407470409229893, score=0.891149 -   1.4s
[CV] c1=0.31577074450592296, c2=0.05236824956117922 ..................
[CV]  c1=0.31577074450592296, c2=0.05236824956117922, score=0.740593 -   1.2s
[CV] c1=0.3272361069752012, c2=0.07220876476299555 ...................
[CV]  c1=0.3272361069752012, c2=0.07220876476299555, score=0.798731 -   1.5s
[CV] c1=0.5231780631279177, c2=0.1353261439917064 ....................
[CV]  c1=0.5231780631279177, c2=0.1353261439917064, score=0.802827 -   1.3s
[CV] c1=1.229504416716457, c2=0.03287356889743371 ....................
[CV]  c1=1.229504416716457, c2=0.03287356889743371, score=0.643612 -   1.1s
[CV] c1=0.7472556601963087, c2=0.016930655521660315 ..................
[CV]  c1=0.7472556601963087, c2=0.016930655521660315, score=0.799545 -   1.5s
[CV] c1=0.03141025801164272, c2=0.1080538132478708 ...................
[CV]  c1=0.03141025801164272, c2=0.1080538132478708, score=0.825797 -   1.4s
[CV] c1=0.5610385903989747, c2=0.1016547820999578 ....................
[CV]  c1=0.5610385903989747, c2=0.1016547820999578, score=0.686377 -   1.2s
[CV] c1=0.3760665617126374, c2=0.0633407985662771 ....................
[CV]  c1=0.3760665617126374, c2=0.0633407985662771, score=0.778534 -   1.4s
[CV] c1=0.5483975335056903, c2=0.09579650924390547 ...................
[CV]  c1=0.5483975335056903, c2=0.09579650924390547, score=0.873251 -   1.5s
[CV] c1=0.7515223609652881, c2=0.01924165234085291 ...................
[CV]  c1=0.7515223609652881, c2=0.01924165234085291, score=0.704756 -   1.4s
[CV] c1=0.054114644160106126, c2=0.04433442354727188 .................
[CV]  c1=0.054114644160106126, c2=0.04433442354727188, score=0.837039 -   1.4s
[CV] c1=0.20705249630013314, c2=0.02775309125128908 ..................
[CV]  c1=0.20705249630013314, c2=0.02775309125128908, score=0.742248 -   1.2s
[CV] c1=0.39218233207253617, c2=0.08353449304798954 ..................
[CV]  c1=0.39218233207253617, c2=0.08353449304798954, score=0.798138 -   1.5s
[CV] c1=0.5490596664380655, c2=0.14949121169408083 ...................
[CV]  c1=0.5490596664380655, c2=0.14949121169408083, score=0.694954 -   1.1s
[CV] c1=0.18640141100330182, c2=0.020503064937306876 .................
[CV]  c1=0.18640141100330182, c2=0.020503064937306876, score=0.845839 -   1.3s
[CV] c1=0.29317139537444964, c2=0.012900947294645576 .................
[CV]  c1=0.29317139537444964, c2=0.012900947294645576, score=0.855454 -   1.4s
[CV] c1=0.09155591995374349, c2=0.0340630691090952 ...................
[CV]  c1=0.09155591995374349, c2=0.0340630691090952, score=0.857120 -   1.3s
[CV] c1=0.10168605969149229, c2=0.008839565274885709 .................
[CV]  c1=0.10168605969149229, c2=0.008839565274885709, score=0.866804 -   1.4s
[CV] c1=0.18556416046221264, c2=0.08936261305143116 ..................
[CV]  c1=0.18556416046221264, c2=0.08936261305143116, score=0.857185 -   1.3s
[CV] c1=0.3760665617126374, c2=0.0633407985662771 ....................
[CV]  c1=0.3760665617126374, c2=0.0633407985662771, score=0.852884 -   1.3s
[CV] c1=0.40654986018163775, c2=0.10175121966183527 ..................
[CV]  c1=0.40654986018163775, c2=0.10175121966183527, score=0.832413 -   1.2s
[CV] c1=0.44802458380817467, c2=0.006475512127327856 .................
[CV]  c1=0.44802458380817467, c2=0.006475512127327856, score=0.860520 -   1.4s
[CV] c1=0.28680922879118725, c2=0.056269615957881436 .................
[CV]  c1=0.28680922879118725, c2=0.056269615957881436, score=0.907943 -   1.5s
[CV] c1=0.22412930081067275, c2=0.017645671749202847 .................
[CV]  c1=0.22412930081067275, c2=0.017645671749202847, score=0.789067 -   1.5s
[CV] c1=0.7214963417014086, c2=0.04513473780210329 ...................
[CV]  c1=0.7214963417014086, c2=0.04513473780210329, score=0.880076 -   1.4s
[CV] c1=1.245407782127883, c2=0.05377643877220624 ....................
[CV]  c1=1.245407782127883, c2=0.05377643877220624, score=0.644663 -   1.1s
[CV] c1=0.22824922487715532, c2=0.020791942981175236 .................
[CV]  c1=0.22824922487715532, c2=0.020791942981175236, score=0.838716 -   1.5s
[CV] c1=0.6625959945572847, c2=0.0142002068420336 ....................
[CV]  c1=0.6625959945572847, c2=0.0142002068420336, score=0.711423 -   1.5s
[CV] c1=0.9550135548054491, c2=0.10858750667394666 ...................
[CV]  c1=0.9550135548054491, c2=0.10858750667394666, score=0.661106 -   1.5s
[CV] c1=0.10168605969149229, c2=0.008839565274885709 .................
[CV]  c1=0.10168605969149229, c2=0.008839565274885709, score=0.808350 -   1.4s
[CV] c1=0.04636897306399837, c2=0.013496896665963444 .................
[CV]  c1=0.04636897306399837, c2=0.013496896665963444, score=0.837516 -   1.3s
[CV] c1=0.3700875564642435, c2=0.04565730226497078 ...................
[CV]  c1=0.3700875564642435, c2=0.04565730226497078, score=0.782572 -   1.5s
[CV] c1=0.53450467657269, c2=0.03955423043285122 .....................
[CV]  c1=0.53450467657269, c2=0.03955423043285122, score=0.738096 -   1.1s
[CV] c1=0.44802458380817467, c2=0.006475512127327856 .................
[CV]  c1=0.44802458380817467, c2=0.006475512127327856, score=0.900021 -   1.4s
[CV] c1=1.138216476056765, c2=0.02878731436701164 ....................
[CV]  c1=1.138216476056765, c2=0.02878731436701164, score=0.635079 -   1.4s
[CV] c1=0.2497503063915295, c2=0.015206928353491762 ..................
[CV]  c1=0.2497503063915295, c2=0.015206928353491762, score=0.848454 -   1.5s
[CV] c1=0.04625567388660928, c2=0.019278667317134065 .................
[CV]  c1=0.04625567388660928, c2=0.019278667317134065, score=0.790568 -   1.1s
[CV] c1=0.5584261774108967, c2=0.01681099811760251 ...................
[CV]  c1=0.5584261774108967, c2=0.01681099811760251, score=0.737424 -   1.2s
[CV] c1=0.19246234979045482, c2=0.09985811840107468 ..................
[CV]  c1=0.19246234979045482, c2=0.09985811840107468, score=0.903684 -   1.4s
[CV] c1=1.256239043396955, c2=0.007646531718877201 ...................
[CV]  c1=1.256239043396955, c2=0.007646531718877201, score=0.641197 -   1.2s
[CV] c1=0.04933963099480345, c2=0.05720572425008216 ..................
[CV]  c1=0.04933963099480345, c2=0.05720572425008216, score=0.899850 -   1.4s
[CV] c1=0.2516377937618162, c2=0.09967936841896476 ...................
[CV]  c1=0.2516377937618162, c2=0.09967936841896476, score=0.745298 -   1.1s
[CV] c1=0.8087690710900117, c2=0.013854911026672063 ..................
[CV]  c1=0.8087690710900117, c2=0.013854911026672063, score=0.713424 -   1.1s
[CV] c1=0.18556416046221264, c2=0.08936261305143116 ..................
[CV]  c1=0.18556416046221264, c2=0.08936261305143116, score=0.893352 -   1.4s
[CV] c1=0.3760665617126374, c2=0.0633407985662771 ....................
[CV]  c1=0.3760665617126374, c2=0.0633407985662771, score=0.895436 -   1.5s
[CV] c1=0.3505168581928758, c2=0.17282100499371628 ...................
[CV]  c1=0.3505168581928758, c2=0.17282100499371628, score=0.870890 -   1.3s
[CV] c1=0.02991135879520865, c2=0.06823973620012362 ..................
[CV]  c1=0.02991135879520865, c2=0.06823973620012362, score=0.846299 -   1.5s
[CV] c1=2.4159185323698176, c2=0.07259182415182551 ...................
[CV]  c1=2.4159185323698176, c2=0.07259182415182551, score=0.689121 -   1.4s
[CV] c1=0.05669022485620881, c2=0.005951553943224736 .................
[CV]  c1=0.05669022485620881, c2=0.005951553943224736, score=0.869325 -   1.5s
[CV] c1=0.39218233207253617, c2=0.08353449304798954 ..................
[CV]  c1=0.39218233207253617, c2=0.08353449304798954, score=0.838799 -   1.5s
[CV] c1=0.5490596664380655, c2=0.14949121169408083 ...................
[CV]  c1=0.5490596664380655, c2=0.14949121169408083, score=0.871487 -   1.5s
[CV] c1=0.018112147312997467, c2=0.0006139190329570542 ...............
[CV]  c1=0.018112147312997467, c2=0.0006139190329570542, score=0.834082 -   1.4s
[CV] c1=0.040318927597427855, c2=0.011315346270374265 ................
[CV]  c1=0.040318927597427855, c2=0.011315346270374265, score=0.803698 -   1.4s
[CV] c1=0.1257160667812815, c2=0.017568425915488167 ..................
[CV]  c1=0.1257160667812815, c2=0.017568425915488167, score=0.880676 -   1.5s
[CV] c1=0.11677570228980944, c2=0.016924678308087485 .................
[CV]  c1=0.11677570228980944, c2=0.016924678308087485, score=0.808350 -   1.4s
[CV] c1=0.16743982970051763, c2=0.028665671072360135 .................
[CV]  c1=0.16743982970051763, c2=0.028665671072360135, score=0.848003 -   1.5s
[CV] c1=0.1691843689053597, c2=0.05433019533405331 ...................
[CV]  c1=0.1691843689053597, c2=0.05433019533405331, score=0.748188 -   1.1s
[CV] c1=0.34233799836301143, c2=0.02469695243245179 ..................
[CV]  c1=0.34233799836301143, c2=0.02469695243245179, score=0.834383 -   1.3s
[CV] c1=0.44802458380817467, c2=0.006475512127327856 .................
[CV]  c1=0.44802458380817467, c2=0.006475512127327856, score=0.768349 -   1.4s
[CV] c1=1.138216476056765, c2=0.02878731436701164 ....................
[CV]  c1=1.138216476056765, c2=0.02878731436701164, score=0.656839 -   1.5s
[CV] c1=0.22412930081067275, c2=0.017645671749202847 .................
[CV]  c1=0.22412930081067275, c2=0.017645671749202847, score=0.901717 -   1.4s
[CV] c1=0.04625567388660928, c2=0.019278667317134065 .................
[CV]  c1=0.04625567388660928, c2=0.019278667317134065, score=0.810739 -   1.5s
[CV] c1=1.245407782127883, c2=0.05377643877220624 ....................
[CV]  c1=1.245407782127883, c2=0.05377643877220624, score=0.858633 -   1.4s
[CV] c1=0.05525588870970538, c2=0.0828350451131842 ...................
[CV]  c1=0.05525588870970538, c2=0.0828350451131842, score=0.798698 -   1.5s
[CV] c1=1.3156187812716778, c2=0.033181359306299105 ..................
[CV]  c1=1.3156187812716778, c2=0.033181359306299105, score=0.652890 -   1.4s
[CV] c1=0.09155591995374349, c2=0.0340630691090952 ...................
[CV]  c1=0.09155591995374349, c2=0.0340630691090952, score=0.810739 -   1.4s
[CV] c1=0.8087690710900117, c2=0.013854911026672063 ..................
[CV]  c1=0.8087690710900117, c2=0.013854911026672063, score=0.872808 -   1.4s
[CV] c1=0.5610385903989747, c2=0.1016547820999578 ....................
[CV]  c1=0.5610385903989747, c2=0.1016547820999578, score=0.712854 -   1.4s
[CV] c1=0.15481525895933032, c2=0.02193057771083631 ..................
[CV]  c1=0.15481525895933032, c2=0.02193057771083631, score=0.825992 -   1.3s
[CV] c1=0.53450467657269, c2=0.03955423043285122 .....................
[CV]  c1=0.53450467657269, c2=0.03955423043285122, score=0.887615 -   1.4s
[CV] c1=0.25379130659940885, c2=0.011914370544658024 .................
[CV]  c1=0.25379130659940885, c2=0.011914370544658024, score=0.848003 -   1.5s
[CV] c1=0.761175567207164, c2=0.06636294690021144 ....................
[CV]  c1=0.761175567207164, c2=0.06636294690021144, score=0.795592 -   1.4s
[CV] c1=0.05669022485620881, c2=0.005951553943224736 .................
[CV]  c1=0.05669022485620881, c2=0.005951553943224736, score=0.901717 -   1.4s
[CV] c1=1.2442587363988706, c2=0.05819255742897244 ...................
[CV]  c1=1.2442587363988706, c2=0.05819255742897244, score=0.626970 -   1.5s
[CV] c1=1.077383818480557, c2=0.016342712689496143 ...................
[CV]  c1=1.077383818480557, c2=0.016342712689496143, score=0.881921 -   1.5s
[CV] c1=0.5231780631279177, c2=0.1353261439917064 ....................
[CV]  c1=0.5231780631279177, c2=0.1353261439917064, score=0.796262 -   1.4s
[CV] c1=0.040318927597427855, c2=0.011315346270374265 ................
[CV]  c1=0.040318927597427855, c2=0.011315346270374265, score=0.901717 -   1.4s
[CV] c1=0.1257160667812815, c2=0.017568425915488167 ..................
[CV]  c1=0.1257160667812815, c2=0.017568425915488167, score=0.855454 -   1.3s
[CV] c1=1.4101175220767712, c2=0.029448181266350612 ..................
[CV]  c1=1.4101175220767712, c2=0.029448181266350612, score=0.762794 -   1.3s
[CV] c1=0.7424766224077922, c2=0.01781105588962796 ...................
[CV]  c1=0.7424766224077922, c2=0.01781105588962796, score=0.818217 -   1.3s
[CV] c1=0.5976645805093318, c2=0.14519874329888194 ...................
[CV]  c1=0.5976645805093318, c2=0.14519874329888194, score=0.677305 -   1.1s
[CV] c1=0.5483975335056903, c2=0.09579650924390547 ...................
[CV]  c1=0.5483975335056903, c2=0.09579650924390547, score=0.717169 -   1.4s
[CV] c1=0.11310341385551854, c2=0.05764250123903706 ..................
[CV]  c1=0.11310341385551854, c2=0.05764250123903706, score=0.759769 -   1.2s
[CV] c1=0.7525170513974974, c2=0.06463467417640749 ...................
[CV]  c1=0.7525170513974974, c2=0.06463467417640749, score=0.680983 -   1.1s
[CV] c1=0.28937541289307683, c2=0.02409971488636438 ..................
[CV]  c1=0.28937541289307683, c2=0.02409971488636438, score=0.852902 -   1.3s
[CV] c1=0.7214963417014086, c2=0.04513473780210329 ...................
[CV]  c1=0.7214963417014086, c2=0.04513473780210329, score=0.702862 -   1.4s
[CV] c1=1.245407782127883, c2=0.05377643877220624 ....................
[CV]  c1=1.245407782127883, c2=0.05377643877220624, score=0.652890 -   1.4s
[CV] c1=0.18640141100330182, c2=0.020503064937306876 .................
[CV]  c1=0.18640141100330182, c2=0.020503064937306876, score=0.793884 -   1.4s
[CV] c1=0.29317139537444964, c2=0.012900947294645576 .................
[CV]  c1=0.29317139537444964, c2=0.012900947294645576, score=0.838716 -   1.5s
[CV] c1=0.15749243156742435, c2=0.0304483030644944 ...................
[CV]  c1=0.15749243156742435, c2=0.0304483030644944, score=0.808350 -   1.5s
[CV] c1=1.4101175220767712, c2=0.029448181266350612 ..................
[CV]  c1=1.4101175220767712, c2=0.029448181266350612, score=0.857931 -   1.4s
[CV] c1=0.7424766224077922, c2=0.01781105588962796 ...................
[CV]  c1=0.7424766224077922, c2=0.01781105588962796, score=0.707176 -   1.5s
[CV] c1=0.9079122000088274, c2=0.031597528523818384 ..................
[CV]  c1=0.9079122000088274, c2=0.031597528523818384, score=0.875910 -   1.3s
[CV] c1=0.5483975335056903, c2=0.09579650924390547 ...................
[CV]  c1=0.5483975335056903, c2=0.09579650924390547, score=0.791787 -   1.4s
[CV] c1=0.7515223609652881, c2=0.01924165234085291 ...................
[CV]  c1=0.7515223609652881, c2=0.01924165234085291, score=0.808075 -   1.4s
[CV] c1=0.7367501864618202, c2=0.04352344475507572 ...................
[CV]  c1=0.7367501864618202, c2=0.04352344475507572, score=0.802206 -   1.3s
[CV] c1=0.20705249630013314, c2=0.02775309125128908 ..................
[CV]  c1=0.20705249630013314, c2=0.02775309125128908, score=0.855454 -   1.4s
[CV] c1=0.6207905918024684, c2=0.05670481333098966 ...................
[CV]  c1=0.6207905918024684, c2=0.05670481333098966, score=0.685705 -   1.1s
[CV] c1=1.077383818480557, c2=0.016342712689496143 ...................
[CV]  c1=1.077383818480557, c2=0.016342712689496143, score=0.649141 -   1.1s
[CV] c1=0.05525588870970538, c2=0.0828350451131842 ...................
[CV]  c1=0.05525588870970538, c2=0.0828350451131842, score=0.844067 -   1.3s
[CV] c1=1.3156187812716778, c2=0.033181359306299105 ..................
[CV]  c1=1.3156187812716778, c2=0.033181359306299105, score=0.857930 -   1.4s
[CV] c1=0.7472556601963087, c2=0.016930655521660315 ..................
[CV]  c1=0.7472556601963087, c2=0.016930655521660315, score=0.707176 -   1.5s
[CV] c1=0.03141025801164272, c2=0.1080538132478708 ...................
[CV]  c1=0.03141025801164272, c2=0.1080538132478708, score=0.878142 -   1.3s
[CV] c1=0.04636897306399837, c2=0.013496896665963444 .................
[CV]  c1=0.04636897306399837, c2=0.013496896665963444, score=0.810739 -   1.4s
[CV] c1=0.3700875564642435, c2=0.04565730226497078 ...................
[CV]  c1=0.3700875564642435, c2=0.04565730226497078, score=0.811184 -   1.4s
[CV] c1=0.9625828132767281, c2=0.01917876418509933 ...................
[CV]  c1=0.9625828132767281, c2=0.01917876418509933, score=0.713193 -   1.4s
[CV] c1=0.7515223609652881, c2=0.01924165234085291 ...................
[CV]  c1=0.7515223609652881, c2=0.01924165234085291, score=0.697216 -   1.1s
[CV] c1=2.4159185323698176, c2=0.07259182415182551 ...................
[CV]  c1=2.4159185323698176, c2=0.07259182415182551, score=0.562367 -   1.1s
[CV] c1=0.22412930081067275, c2=0.017645671749202847 .................
[CV]  c1=0.22412930081067275, c2=0.017645671749202847, score=0.857757 -   1.4s
[CV] c1=0.04625567388660928, c2=0.019278667317134065 .................
[CV]  c1=0.04625567388660928, c2=0.019278667317134065, score=0.853095 -   1.3s
[CV] c1=1.1936631782432368, c2=0.02255953227338419 ...................
[CV]  c1=1.1936631782432368, c2=0.02255953227338419, score=0.644200 -   1.1s
[CV] c1=0.22824922487715532, c2=0.020791942981175236 .................
[CV]  c1=0.22824922487715532, c2=0.020791942981175236, score=0.745093 -   1.2s
[CV] c1=1.256239043396955, c2=0.007646531718877201 ...................
[CV]  c1=1.256239043396955, c2=0.007646531718877201, score=0.877200 -   1.4s
[CV] c1=0.04933963099480345, c2=0.05720572425008216 ..................
[CV]  c1=0.04933963099480345, c2=0.05720572425008216, score=0.823393 -   1.4s
[CV] c1=0.031754761010235236, c2=0.13656196744803387 .................
[CV]  c1=0.031754761010235236, c2=0.13656196744803387, score=0.750986 -   1.1s
[CV] c1=1.4101175220767712, c2=0.029448181266350612 ..................
[CV]  c1=1.4101175220767712, c2=0.029448181266350612, score=0.617085 -   1.4s
[CV] c1=0.16743982970051763, c2=0.028665671072360135 .................
[CV]  c1=0.16743982970051763, c2=0.028665671072360135, score=0.752316 -   1.2s
[CV] c1=0.5976645805093318, c2=0.14519874329888194 ...................
[CV]  c1=0.5976645805093318, c2=0.14519874329888194, score=0.869181 -   1.4s
[CV] c1=0.8279603950137697, c2=0.013287432603642771 ..................
[CV]  c1=0.8279603950137697, c2=0.013287432603642771, score=0.678843 -   1.4s
[CV] c1=0.11310341385551854, c2=0.05764250123903706 ..................
[CV]  c1=0.11310341385551854, c2=0.05764250123903706, score=0.842262 -   1.3s
[CV] c1=0.7367501864618202, c2=0.04352344475507572 ...................
[CV]  c1=0.7367501864618202, c2=0.04352344475507572, score=0.692024 -   1.4s
[CV] c1=0.20705249630013314, c2=0.02775309125128908 ..................
[CV]  c1=0.20705249630013314, c2=0.02775309125128908, score=0.843252 -   1.5s
[CV] c1=0.14138939722155366, c2=0.0020758963082462174 ................
[CV]  c1=0.14138939722155366, c2=0.0020758963082462174, score=0.736015 -   1.2s
[CV] c1=0.5490596664380655, c2=0.14949121169408083 ...................
[CV]  c1=0.5490596664380655, c2=0.14949121169408083, score=0.806587 -   1.3s
[CV] c1=0.018112147312997467, c2=0.0006139190329570542 ...............
[CV]  c1=0.018112147312997467, c2=0.0006139190329570542, score=0.830858 -   1.4s
[CV] c1=0.040318927597427855, c2=0.011315346270374265 ................
[CV]  c1=0.040318927597427855, c2=0.011315346270374265, score=0.848754 -   1.3s
[CV] c1=0.1257160667812815, c2=0.017568425915488167 ..................
[CV]  c1=0.1257160667812815, c2=0.017568425915488167, score=0.746611 -   1.1s
[CV] c1=0.03141025801164272, c2=0.1080538132478708 ...................
[CV]  c1=0.03141025801164272, c2=0.1080538132478708, score=0.830334 -   1.3s
[CV] c1=0.18556416046221264, c2=0.08936261305143116 ..................
[CV]  c1=0.18556416046221264, c2=0.08936261305143116, score=0.798358 -   1.4s
[CV] c1=0.3760665617126374, c2=0.0633407985662771 ....................
[CV]  c1=0.3760665617126374, c2=0.0633407985662771, score=0.807600 -   1.4s
[CV] c1=0.5483975335056903, c2=0.09579650924390547 ...................
[CV]  c1=0.5483975335056903, c2=0.09579650924390547, score=0.789975 -   1.5s
[CV] c1=0.5839426042902599, c2=0.03708406331760866 ...................
[CV]  c1=0.5839426042902599, c2=0.03708406331760866, score=0.882517 -   1.3s
[CV] c1=0.48577314734999055, c2=0.06390490977125637 ..................
[CV]  c1=0.48577314734999055, c2=0.06390490977125637, score=0.881966 -   1.4s
[CV] c1=0.20018009844993492, c2=0.04358458714704816 ..................
[CV]  c1=0.20018009844993492, c2=0.04358458714704816, score=0.901717 -   1.4s
[CV] c1=0.14138939722155366, c2=0.0020758963082462174 ................
[CV]  c1=0.14138939722155366, c2=0.0020758963082462174, score=0.901717 -   1.3s
[CV] c1=0.074217943913624, c2=0.0011059710899676831 ..................
[CV]  c1=0.074217943913624, c2=0.0011059710899676831, score=0.810739 -   1.4s
[CV] c1=0.7797219839134601, c2=0.09217384867589568 ...................
[CV]  c1=0.7797219839134601, c2=0.09217384867589568, score=0.786600 -   1.3s
[CV] c1=0.04933963099480345, c2=0.05720572425008216 ..................
[CV]  c1=0.04933963099480345, c2=0.05720572425008216, score=0.779507 -   1.1s
[CV] c1=0.15749243156742435, c2=0.0304483030644944 ...................
[CV]  c1=0.15749243156742435, c2=0.0304483030644944, score=0.843252 -   1.5s
[CV] c1=1.4101175220767712, c2=0.029448181266350612 ..................
[CV]  c1=1.4101175220767712, c2=0.029448181266350612, score=0.621522 -   1.4s
[CV] c1=0.7424766224077922, c2=0.01781105588962796 ...................
[CV]  c1=0.7424766224077922, c2=0.01781105588962796, score=0.799545 -   1.4s
[CV] c1=0.9079122000088274, c2=0.031597528523818384 ..................
[CV]  c1=0.9079122000088274, c2=0.031597528523818384, score=0.664141 -   1.1s
[CV] c1=0.53450467657269, c2=0.03955423043285122 .....................
[CV]  c1=0.53450467657269, c2=0.03955423043285122, score=0.734724 -   1.4s
[CV] c1=0.02991135879520865, c2=0.06823973620012362 ..................
[CV]  c1=0.02991135879520865, c2=0.06823973620012362, score=0.844067 -   1.2s
[CV] c1=0.761175567207164, c2=0.06636294690021144 ....................
[CV]  c1=0.761175567207164, c2=0.06636294690021144, score=0.882517 -   1.5s
[CV] c1=0.28937541289307683, c2=0.02409971488636438 ..................
[CV]  c1=0.28937541289307683, c2=0.02409971488636438, score=0.797118 -   1.5s
[CV] c1=1.2442587363988706, c2=0.05819255742897244 ...................
[CV]  c1=1.2442587363988706, c2=0.05819255742897244, score=0.776854 -   1.3s
[CV] c1=0.3272361069752012, c2=0.07220876476299555 ...................
[CV]  c1=0.3272361069752012, c2=0.07220876476299555, score=0.782572 -   1.5s
[CV] c1=0.5231780631279177, c2=0.1353261439917064 ....................
[CV]  c1=0.5231780631279177, c2=0.1353261439917064, score=0.873406 -   1.5s
[CV] c1=1.229504416716457, c2=0.03287356889743371 ....................
[CV]  c1=1.229504416716457, c2=0.03287356889743371, score=0.790949 -   1.3s
[CV] c1=0.15749243156742435, c2=0.0304483030644944 ...................
[CV]  c1=0.15749243156742435, c2=0.0304483030644944, score=0.855454 -   1.3s
[CV] c1=0.8087690710900117, c2=0.013854911026672063 ..................
[CV]  c1=0.8087690710900117, c2=0.013854911026672063, score=0.808172 -   1.4s
[CV] c1=0.5610385903989747, c2=0.1016547820999578 ....................
[CV]  c1=0.5610385903989747, c2=0.1016547820999578, score=0.790044 -   1.4s
[CV] c1=0.15481525895933032, c2=0.02193057771083631 ..................
[CV]  c1=0.15481525895933032, c2=0.02193057771083631, score=0.802205 -   1.4s
[CV] c1=0.8279603950137697, c2=0.013287432603642771 ..................
[CV]  c1=0.8279603950137697, c2=0.013287432603642771, score=0.682033 -   1.0s
[CV] c1=0.8225155063975937, c2=0.07930080513093862 ...................
[CV]  c1=0.8225155063975937, c2=0.07930080513093862, score=0.795346 -   1.3s
[CV] c1=2.4159185323698176, c2=0.07259182415182551 ...................
[CV]  c1=2.4159185323698176, c2=0.07259182415182551, score=0.769440 -   1.4s
[CV] c1=0.05669022485620881, c2=0.005951553943224736 .................
[CV]  c1=0.05669022485620881, c2=0.005951553943224736, score=0.793275 -   1.4s
[CV] c1=1.2442587363988706, c2=0.05819255742897244 ...................
[CV]  c1=1.2442587363988706, c2=0.05819255742897244, score=0.658227 -   1.5s
[CV] c1=1.077383818480557, c2=0.016342712689496143 ...................
[CV]  c1=1.077383818480557, c2=0.016342712689496143, score=0.667437 -   1.4s
[CV] c1=0.5231780631279177, c2=0.1353261439917064 ....................
[CV]  c1=0.5231780631279177, c2=0.1353261439917064, score=0.717169 -   1.5s
[CV] c1=0.040318927597427855, c2=0.011315346270374265 ................
[CV]  c1=0.040318927597427855, c2=0.011315346270374265, score=0.802328 -   1.1s
[CV] c1=0.09155591995374349, c2=0.0340630691090952 ...................
[CV]  c1=0.09155591995374349, c2=0.0340630691090952, score=0.854734 -   1.4s
[CV] c1=0.8087690710900117, c2=0.013854911026672063 ..................
[CV]  c1=0.8087690710900117, c2=0.013854911026672063, score=0.799545 -   1.4s
[CV] c1=0.7424766224077922, c2=0.01781105588962796 ...................
[CV]  c1=0.7424766224077922, c2=0.01781105588962796, score=0.699668 -   1.1s
[CV] c1=0.15481525895933032, c2=0.02193057771083631 ..................
[CV]  c1=0.15481525895933032, c2=0.02193057771083631, score=0.901717 -   1.4s
[CV] c1=0.40654986018163775, c2=0.10175121966183527 ..................
[CV]  c1=0.40654986018163775, c2=0.10175121966183527, score=0.792761 -   1.4s
[CV] c1=0.25379130659940885, c2=0.011914370544658024 .................
[CV]  c1=0.25379130659940885, c2=0.011914370544658024, score=0.857757 -   1.4s
[CV] c1=0.28680922879118725, c2=0.056269615957881436 .................
[CV]  c1=0.28680922879118725, c2=0.056269615957881436, score=0.855454 -   1.4s
[CV] c1=0.22412930081067275, c2=0.017645671749202847 .................
[CV]  c1=0.22412930081067275, c2=0.017645671749202847, score=0.815855 -   1.5s
[CV] c1=0.7214963417014086, c2=0.04513473780210329 ...................
[CV]  c1=0.7214963417014086, c2=0.04513473780210329, score=0.813441 -   1.5s
[CV] c1=0.3272361069752012, c2=0.07220876476299555 ...................
[CV]  c1=0.3272361069752012, c2=0.07220876476299555, score=0.857185 -   1.4s
[CV] c1=0.18640141100330182, c2=0.020503064937306876 .................
[CV]  c1=0.18640141100330182, c2=0.020503064937306876, score=0.815935 -   1.5s
[CV] c1=1.229504416716457, c2=0.03287356889743371 ....................
[CV]  c1=1.229504416716457, c2=0.03287356889743371, score=0.621522 -   1.5s
[CV] c1=0.1257160667812815, c2=0.017568425915488167 ..................
[CV]  c1=0.1257160667812815, c2=0.017568425915488167, score=0.901717 -   1.4s
[CV] c1=1.4101175220767712, c2=0.029448181266350612 ..................
[CV]  c1=1.4101175220767712, c2=0.029448181266350612, score=0.633002 -   1.1s
[CV] c1=0.18556416046221264, c2=0.08936261305143116 ..................
[CV]  c1=0.18556416046221264, c2=0.08936261305143116, score=0.824180 -   1.5s
[CV] c1=0.15481525895933032, c2=0.02193057771083631 ..................
[CV]  c1=0.15481525895933032, c2=0.02193057771083631, score=0.810739 -   1.4s
[CV] c1=0.40654986018163775, c2=0.10175121966183527 ..................
[CV]  c1=0.40654986018163775, c2=0.10175121966183527, score=0.746062 -   0.7s
[CV] c1=0.8032600412101124, c2=0.10640133196291988 ...................
[CV]  c1=0.8032600412101124, c2=0.10640133196291988, score=0.668059 -   1.2s
[CV] c1=0.11310341385551854, c2=0.05764250123903706 ..................
[CV]  c1=0.11310341385551854, c2=0.05764250123903706, score=0.897326 -   1.4s
[CV] c1=0.7367501864618202, c2=0.04352344475507572 ...................
[CV]  c1=0.7367501864618202, c2=0.04352344475507572, score=0.875056 -   1.4s
[CV] c1=0.20705249630013314, c2=0.02775309125128908 ..................
[CV]  c1=0.20705249630013314, c2=0.02775309125128908, score=0.896513 -   1.4s
[CV] c1=0.6207905918024684, c2=0.05670481333098966 ...................
[CV]  c1=0.6207905918024684, c2=0.05670481333098966, score=0.882517 -   1.5s
[CV] c1=0.074217943913624, c2=0.0011059710899676831 ..................
[CV]  c1=0.074217943913624, c2=0.0011059710899676831, score=0.844901 -   1.3s
[CV] c1=0.7797219839134601, c2=0.09217384867589568 ...................
[CV]  c1=0.7797219839134601, c2=0.09217384867589568, score=0.875910 -   1.6s
[CV] c1=0.04933963099480345, c2=0.05720572425008216 ..................
[CV]  c1=0.04933963099480345, c2=0.05720572425008216, score=0.844067 -   1.3s
[CV] c1=0.2516377937618162, c2=0.09967936841896476 ...................
[CV]  c1=0.2516377937618162, c2=0.09967936841896476, score=0.857185 -   1.4s
[CV] c1=0.11677570228980944, c2=0.016924678308087485 .................
[CV]  c1=0.11677570228980944, c2=0.016924678308087485, score=0.845040 -   1.3s
[CV] c1=0.16743982970051763, c2=0.028665671072360135 .................
[CV]  c1=0.16743982970051763, c2=0.028665671072360135, score=0.845839 -   1.4s
[CV] c1=0.9079122000088274, c2=0.031597528523818384 ..................
[CV]  c1=0.9079122000088274, c2=0.031597528523818384, score=0.806379 -   1.3s
[CV] c1=0.34233799836301143, c2=0.02469695243245179 ..................
[CV]  c1=0.34233799836301143, c2=0.02469695243245179, score=0.747527 -   0.8s
[CV] c1=0.8032600412101124, c2=0.10640133196291988 ...................
[CV]  c1=0.8032600412101124, c2=0.10640133196291988, score=0.869395 -   1.4s
[CV] c1=0.5839426042902599, c2=0.03708406331760866 ...................
[CV]  c1=0.5839426042902599, c2=0.03708406331760866, score=0.732231 -   1.3s
[CV] c1=0.7367501864618202, c2=0.04352344475507572 ...................
[CV]  c1=0.7367501864618202, c2=0.04352344475507572, score=0.822112 -   1.5s
[CV] c1=0.20018009844993492, c2=0.04358458714704816 ..................
[CV]  c1=0.20018009844993492, c2=0.04358458714704816, score=0.736827 -   1.3s
[CV] c1=0.6207905918024684, c2=0.05670481333098966 ...................
[CV]  c1=0.6207905918024684, c2=0.05670481333098966, score=0.796262 -   1.5s
[CV] c1=0.19246234979045482, c2=0.09985811840107468 ..................
[CV]  c1=0.19246234979045482, c2=0.09985811840107468, score=0.796026 -   1.5s
[CV] c1=1.256239043396955, c2=0.007646531718877201 ...................
[CV]  c1=1.256239043396955, c2=0.007646531718877201, score=0.728281 -   1.5s
[CV] c1=0.6121649190109449, c2=0.12980280665922916 ...................
[CV]  c1=0.6121649190109449, c2=0.12980280665922916, score=0.674935 -   1.2s
[CV] c1=0.031754761010235236, c2=0.13656196744803387 .................
[CV]  c1=0.031754761010235236, c2=0.13656196744803387, score=0.875580 -   1.4s
[CV] c1=0.06326076236902456, c2=0.03219870129153849 ..................
[CV]  c1=0.06326076236902456, c2=0.03219870129153849, score=0.818706 -   1.4s
[CV] c1=1.284549533821438, c2=0.031917822843807245 ...................
[CV]  c1=1.284549533821438, c2=0.031917822843807245, score=0.652890 -   1.4s
[CV] c1=0.6018457645440307, c2=0.04094059572613048 ...................
[CV]  c1=0.6018457645440307, c2=0.04094059572613048, score=0.730238 -   1.0s
[CV] c1=0.2621543975532196, c2=0.09397806835485088 ...................
[CV]  c1=0.2621543975532196, c2=0.09397806835485088, score=0.740664 -   1.2s
[CV] c1=0.25379130659940885, c2=0.011914370544658024 .................
[CV]  c1=0.25379130659940885, c2=0.011914370544658024, score=0.761952 -   1.2s
[CV] c1=1.138216476056765, c2=0.02878731436701164 ....................
[CV]  c1=1.138216476056765, c2=0.02878731436701164, score=0.649141 -   1.1s
[CV] c1=0.48577314734999055, c2=0.06390490977125637 ..................
[CV]  c1=0.48577314734999055, c2=0.06390490977125637, score=0.721339 -   1.4s
[CV] c1=0.20018009844993492, c2=0.04358458714704816 ..................
[CV]  c1=0.20018009844993492, c2=0.04358458714704816, score=0.829275 -   1.4s
[CV] c1=0.14138939722155366, c2=0.0020758963082462174 ................
[CV]  c1=0.14138939722155366, c2=0.0020758963082462174, score=0.788237 -   1.5s
[CV] c1=0.19246234979045482, c2=0.09985811840107468 ..................
[CV]  c1=0.19246234979045482, c2=0.09985811840107468, score=0.740664 -   1.3s
[CV] c1=0.7797219839134601, c2=0.09217384867589568 ...................
[CV]  c1=0.7797219839134601, c2=0.09217384867589568, score=0.776295 -   1.5s
[CV] c1=0.4763068001632079, c2=0.08192718629387796 ...................
[CV]  c1=0.4763068001632079, c2=0.08192718629387796, score=0.745430 -   1.1s
[CV] c1=0.2516377937618162, c2=0.09967936841896476 ...................
[CV]  c1=0.2516377937618162, c2=0.09967936841896476, score=0.901122 -   1.5s
[CV] c1=0.11677570228980944, c2=0.016924678308087485 .................
[CV]  c1=0.11677570228980944, c2=0.016924678308087485, score=0.836794 -   1.5s
[CV] c1=1.284549533821438, c2=0.031917822843807245 ...................
[CV]  c1=1.284549533821438, c2=0.031917822843807245, score=0.629852 -   1.1s
[CV] c1=0.5976645805093318, c2=0.14519874329888194 ...................
[CV]  c1=0.5976645805093318, c2=0.14519874329888194, score=0.786201 -   1.4s
[CV] c1=0.9625828132767281, c2=0.01917876418509933 ...................
[CV]  c1=0.9625828132767281, c2=0.01917876418509933, score=0.875757 -   1.4s
[CV] c1=0.3745280612627284, c2=0.02204830074062595 ...................
[CV]  c1=0.3745280612627284, c2=0.02204830074062595, score=0.807100 -   1.4s
[CV] c1=0.054114644160106126, c2=0.04433442354727188 .................
[CV]  c1=0.054114644160106126, c2=0.04433442354727188, score=0.906495 -   1.4s
[CV] c1=0.46155452863562185, c2=0.02407470409229893 ..................
[CV]  c1=0.46155452863562185, c2=0.02407470409229893, score=0.770875 -   1.4s
[CV] c1=0.31577074450592296, c2=0.05236824956117922 ..................
[CV]  c1=0.31577074450592296, c2=0.05236824956117922, score=0.811184 -   1.5s
[CV] c1=0.074217943913624, c2=0.0011059710899676831 ..................
[CV]  c1=0.074217943913624, c2=0.0011059710899676831, score=0.746443 -   1.2s
[CV] c1=0.018112147312997467, c2=0.0006139190329570542 ...............
[CV]  c1=0.018112147312997467, c2=0.0006139190329570542, score=0.900763 -   1.5s
[CV] c1=0.040318927597427855, c2=0.011315346270374265 ................
[CV]  c1=0.040318927597427855, c2=0.011315346270374265, score=0.837258 -   1.5s
[CV] c1=0.2516377937618162, c2=0.09967936841896476 ...................
[CV]  c1=0.2516377937618162, c2=0.09967936841896476, score=0.784976 -   1.4s
[CV] c1=0.11677570228980944, c2=0.016924678308087485 .................
[CV]  c1=0.11677570228980944, c2=0.016924678308087485, score=0.746361 -   1.2s
[CV] c1=0.7424766224077922, c2=0.01781105588962796 ...................
[CV]  c1=0.7424766224077922, c2=0.01781105588962796, score=0.879261 -   1.4s
[CV] c1=0.5976645805093318, c2=0.14519874329888194 ...................
[CV]  c1=0.5976645805093318, c2=0.14519874329888194, score=0.699812 -   1.4s
[CV] c1=0.2621543975532196, c2=0.09397806835485088 ...................
[CV]  c1=0.2621543975532196, c2=0.09397806835485088, score=0.774587 -   1.5s
[CV] c1=0.3745280612627284, c2=0.02204830074062595 ...................
[CV]  c1=0.3745280612627284, c2=0.02204830074062595, score=0.901989 -   1.4s
[CV] c1=0.7525170513974974, c2=0.06463467417640749 ...................
[CV]  c1=0.7525170513974974, c2=0.06463467417640749, score=0.697339 -   1.4s
[CV] c1=0.08064072946338567, c2=0.0017224831819822603 ................
[CV]  c1=0.08064072946338567, c2=0.0017224831819822603, score=0.867521 -   1.5s
[CV] c1=0.31577074450592296, c2=0.05236824956117922 ..................
[CV]  c1=0.31577074450592296, c2=0.05236824956117922, score=0.793435 -   1.8s
[CV] c1=0.19246234979045482, c2=0.09985811840107468 ..................
[CV]  c1=0.19246234979045482, c2=0.09985811840107468, score=0.857185 -   1.4s
[CV] c1=1.256239043396955, c2=0.007646531718877201 ...................
[CV]  c1=1.256239043396955, c2=0.007646531718877201, score=0.754548 -   1.4s
[CV] c1=0.4763068001632079, c2=0.08192718629387796 ...................
[CV]  c1=0.4763068001632079, c2=0.08192718629387796, score=0.792761 -   1.5s
[CV] c1=0.8892334463999613, c2=0.01521891854920901 ...................
[CV]  c1=0.8892334463999613, c2=0.01521891854920901, score=0.667053 -   1.1s
[CV] c1=0.06326076236902456, c2=0.03219870129153849 ..................
[CV]  c1=0.06326076236902456, c2=0.03219870129153849, score=0.789480 -   1.2s
[CV] c1=0.16743982970051763, c2=0.028665671072360135 .................
[CV]  c1=0.16743982970051763, c2=0.028665671072360135, score=0.901717 -   1.4s
[CV] c1=0.9079122000088274, c2=0.031597528523818384 ..................
[CV]  c1=0.9079122000088274, c2=0.031597528523818384, score=0.682134 -   1.4s
[CV] c1=0.2621543975532196, c2=0.09397806835485088 ...................
[CV]  c1=0.2621543975532196, c2=0.09397806835485088, score=0.801738 -   1.4s
[CV] c1=0.8225155063975937, c2=0.07930080513093862 ...................
[CV]  c1=0.8225155063975937, c2=0.07930080513093862, score=0.678106 -   1.4s
[CV] c1=0.7525170513974974, c2=0.06463467417640749 ...................
[CV]  c1=0.7525170513974974, c2=0.06463467417640749, score=0.877829 -   1.4s
[CV] c1=0.08064072946338567, c2=0.0017224831819822603 ................
[CV]  c1=0.08064072946338567, c2=0.0017224831819822603, score=0.770827 -   1.2s
[CV] c1=0.7214963417014086, c2=0.04513473780210329 ...................
[CV]  c1=0.7214963417014086, c2=0.04513473780210329, score=0.802206 -   1.4s
[CV] c1=1.245407782127883, c2=0.05377643877220624 ....................
[CV]  c1=1.245407782127883, c2=0.05377643877220624, score=0.786309 -   1.4s
[CV] c1=0.05525588870970538, c2=0.0828350451131842 ...................
[CV]  c1=0.05525588870970538, c2=0.0828350451131842, score=0.846406 -   1.5s
[CV] c1=0.29317139537444964, c2=0.012900947294645576 .................
[CV]  c1=0.29317139537444964, c2=0.012900947294645576, score=0.787449 -   1.5s
[CV] c1=0.15749243156742435, c2=0.0304483030644944 ...................
[CV]  c1=0.15749243156742435, c2=0.0304483030644944, score=0.739846 -   1.2s
[CV] c1=0.03141025801164272, c2=0.1080538132478708 ...................
[CV]  c1=0.03141025801164272, c2=0.1080538132478708, score=0.788775 -   1.5s
[CV] c1=0.5610385903989747, c2=0.1016547820999578 ....................
[CV]  c1=0.5610385903989747, c2=0.1016547820999578, score=0.882517 -   1.6s
[CV] c1=0.5976645805093318, c2=0.14519874329888194 ...................
[CV]  c1=0.5976645805093318, c2=0.14519874329888194, score=0.789792 -   1.4s
[CV] c1=0.3505168581928758, c2=0.17282100499371628 ...................
[CV]  c1=0.3505168581928758, c2=0.17282100499371628, score=0.729828 -   1.1s
[CV] c1=0.02991135879520865, c2=0.06823973620012362 ..................
[CV]  c1=0.02991135879520865, c2=0.06823973620012362, score=0.880225 -   1.4s
[CV] c1=0.761175567207164, c2=0.06636294690021144 ....................
[CV]  c1=0.761175567207164, c2=0.06636294690021144, score=0.697339 -   1.5s
[CV] c1=0.05669022485620881, c2=0.005951553943224736 .................
[CV]  c1=0.05669022485620881, c2=0.005951553943224736, score=0.787480 -   1.1s
[CV] c1=0.04625567388660928, c2=0.019278667317134065 .................
[CV]  c1=0.04625567388660928, c2=0.019278667317134065, score=0.859875 -   1.5s
[CV] c1=1.245407782127883, c2=0.05377643877220624 ....................
[CV]  c1=1.245407782127883, c2=0.05377643877220624, score=0.630825 -   1.4s
[CV] c1=0.18640141100330182, c2=0.020503064937306876 .................
[CV]  c1=0.18640141100330182, c2=0.020503064937306876, score=0.757905 -   1.2s
[CV] c1=0.6625959945572847, c2=0.0142002068420336 ....................
[CV]  c1=0.6625959945572847, c2=0.0142002068420336, score=0.810792 -   1.4s
[CV] c1=0.7472556601963087, c2=0.016930655521660315 ..................
[CV]  c1=0.7472556601963087, c2=0.016930655521660315, score=0.693793 -   1.1s
[CV] c1=0.8892334463999613, c2=0.01521891854920901 ...................
[CV]  c1=0.8892334463999613, c2=0.01521891854920901, score=0.752100 -   1.4s
[CV] c1=1.9908874388647424, c2=0.012981333415488294 ..................
[CV]  c1=1.9908874388647424, c2=0.012981333415488294, score=0.597296 -   1.1s
[CV] c1=0.4207213927566117, c2=0.04358412452557514 ...................
[CV]  c1=0.4207213927566117, c2=0.04358412452557514, score=0.746684 -   1.1s
[CV] c1=0.1691843689053597, c2=0.05433019533405331 ...................
[CV]  c1=0.1691843689053597, c2=0.05433019533405331, score=0.901717 -   1.3s
[CV] c1=0.8279603950137697, c2=0.013287432603642771 ..................
[CV]  c1=0.8279603950137697, c2=0.013287432603642771, score=0.872808 -   1.3s
[CV] c1=0.7515223609652881, c2=0.01924165234085291 ...................
[CV]  c1=0.7515223609652881, c2=0.01924165234085291, score=0.804268 -   1.3s
[CV] c1=0.054114644160106126, c2=0.04433442354727188 .................
[CV]  c1=0.054114644160106126, c2=0.04433442354727188, score=0.818706 -   1.5s
[CV] c1=0.20705249630013314, c2=0.02775309125128908 ..................
[CV]  c1=0.20705249630013314, c2=0.02775309125128908, score=0.802041 -   1.4s
[CV] c1=0.6207905918024684, c2=0.05670481333098966 ...................
[CV]  c1=0.6207905918024684, c2=0.05670481333098966, score=0.809792 -   1.3s
[CV] c1=0.074217943913624, c2=0.0011059710899676831 ..................
[CV]  c1=0.074217943913624, c2=0.0011059710899676831, score=0.886187 -   1.4s
[CV] c1=0.7797219839134601, c2=0.09217384867589568 ...................
[CV]  c1=0.7797219839134601, c2=0.09217384867589568, score=0.668059 -   1.1s
[CV] c1=1.229504416716457, c2=0.03287356889743371 ....................
[CV]  c1=1.229504416716457, c2=0.03287356889743371, score=0.652890 -   1.4s
[CV] c1=0.1257160667812815, c2=0.017568425915488167 ..................
[CV]  c1=0.1257160667812815, c2=0.017568425915488167, score=0.800193 -   1.4s
[CV] c1=0.11677570228980944, c2=0.016924678308087485 .................
[CV]  c1=0.11677570228980944, c2=0.016924678308087485, score=0.899474 -   1.4s
[CV] c1=0.16743982970051763, c2=0.028665671072360135 .................
[CV]  c1=0.16743982970051763, c2=0.028665671072360135, score=0.806003 -   1.4s
[CV] c1=0.9079122000088274, c2=0.031597528523818384 ..................
[CV]  c1=0.9079122000088274, c2=0.031597528523818384, score=0.756469 -   1.3s
[CV] c1=0.2621543975532196, c2=0.09397806835485088 ...................
[CV]  c1=0.2621543975532196, c2=0.09397806835485088, score=0.890888 -   1.4s
[CV] c1=0.02991135879520865, c2=0.06823973620012362 ..................
[CV]  c1=0.02991135879520865, c2=0.06823973620012362, score=0.792458 -   1.5s
[CV] c1=2.4159185323698176, c2=0.07259182415182551 ...................
[CV]  c1=2.4159185323698176, c2=0.07259182415182551, score=0.525875 -   1.5s
[CV] c1=0.46155452863562185, c2=0.02407470409229893 ..................
[CV]  c1=0.46155452863562185, c2=0.02407470409229893, score=0.738096 -   1.2s
[CV] c1=0.39218233207253617, c2=0.08353449304798954 ..................
[CV]  c1=0.39218233207253617, c2=0.08353449304798954, score=0.888587 -   1.5s
[CV] c1=1.077383818480557, c2=0.016342712689496143 ...................
[CV]  c1=1.077383818480557, c2=0.016342712689496143, score=0.794315 -   1.3s
[CV] c1=0.5231780631279177, c2=0.1353261439917064 ....................
[CV]  c1=0.5231780631279177, c2=0.1353261439917064, score=0.713855 -   1.2s
[CV] c1=0.29317139537444964, c2=0.012900947294645576 .................
[CV]  c1=0.29317139537444964, c2=0.012900947294645576, score=0.755286 -   1.0s
[CV] c1=0.6121649190109449, c2=0.12980280665922916 ...................
[CV]  c1=0.6121649190109449, c2=0.12980280665922916, score=0.800090 -   1.3s
[CV] c1=0.8892334463999613, c2=0.01521891854920901 ...................
[CV]  c1=0.8892334463999613, c2=0.01521891854920901, score=0.806379 -   1.3s
[CV] c1=0.28268384498374494, c2=0.018922176572358573 .................
[CV]  c1=0.28268384498374494, c2=0.018922176572358573, score=0.757113 -   1.2s
[CV] c1=1.284549533821438, c2=0.031917822843807245 ...................
[CV]  c1=1.284549533821438, c2=0.031917822843807245, score=0.630665 -   1.5s
[CV] c1=0.6018457645440307, c2=0.04094059572613048 ...................
[CV]  c1=0.6018457645440307, c2=0.04094059572613048, score=0.875056 -   1.2s
[CV] c1=0.53450467657269, c2=0.03955423043285122 .....................
[CV]  c1=0.53450467657269, c2=0.03955423043285122, score=0.792761 -   1.2s
[CV] c1=0.25379130659940885, c2=0.011914370544658024 .................
[CV]  c1=0.25379130659940885, c2=0.011914370544658024, score=0.901717 -   1.4s
[CV] c1=0.28680922879118725, c2=0.056269615957881436 .................
[CV]  c1=0.28680922879118725, c2=0.056269615957881436, score=0.793435 -   1.5s
[CV] c1=0.28937541289307683, c2=0.02409971488636438 ..................
[CV]  c1=0.28937541289307683, c2=0.02409971488636438, score=0.912049 -   1.4s
[CV] c1=0.7214963417014086, c2=0.04513473780210329 ...................
[CV]  c1=0.7214963417014086, c2=0.04513473780210329, score=0.706812 -   1.1s
[CV] c1=1.1936631782432368, c2=0.02255953227338419 ...................
[CV]  c1=1.1936631782432368, c2=0.02255953227338419, score=0.881498 -   1.4s
[CV] c1=0.5388551295669902, c2=0.034837747804759345 ..................
[CV]  c1=0.5388551295669902, c2=0.034837747804759345, score=0.893742 -   1.4s
[CV] c1=0.6625959945572847, c2=0.0142002068420336 ....................
[CV]  c1=0.6625959945572847, c2=0.0142002068420336, score=0.698309 -   1.1s
[CV] c1=0.6121649190109449, c2=0.12980280665922916 ...................
[CV]  c1=0.6121649190109449, c2=0.12980280665922916, score=0.873406 -   1.4s
[CV] c1=0.8892334463999613, c2=0.01521891854920901 ...................
[CV]  c1=0.8892334463999613, c2=0.01521891854920901, score=0.875056 -   1.4s
[CV] c1=0.28268384498374494, c2=0.018922176572358573 .................
[CV]  c1=0.28268384498374494, c2=0.018922176572358573, score=0.845839 -   1.4s
[CV] c1=0.4207213927566117, c2=0.04358412452557514 ...................
[CV]  c1=0.4207213927566117, c2=0.04358412452557514, score=0.798138 -   1.4s
[CV] c1=0.05241887604079392, c2=0.06480151763297788 ..................
[CV]  c1=0.05241887604079392, c2=0.06480151763297788, score=0.779295 -   0.9s
[CV] c1=0.2621543975532196, c2=0.09397806835485088 ...................
[CV]  c1=0.2621543975532196, c2=0.09397806835485088, score=0.851071 -   1.4s
[CV] c1=0.8225155063975937, c2=0.07930080513093862 ...................
[CV]  c1=0.8225155063975937, c2=0.07930080513093862, score=0.874027 -   1.4s
[CV] c1=2.4159185323698176, c2=0.07259182415182551 ...................
[CV]  c1=2.4159185323698176, c2=0.07259182415182551, score=0.596498 -   1.4s
[CV] c1=0.08064072946338567, c2=0.0017224831819822603 ................
[CV]  c1=0.08064072946338567, c2=0.0017224831819822603, score=0.810739 -   1.4s
[CV] c1=0.31577074450592296, c2=0.05236824956117922 ..................
[CV]  c1=0.31577074450592296, c2=0.05236824956117922, score=0.901989 -   1.4s
[CV] c1=0.5490596664380655, c2=0.14949121169408083 ...................
[CV]  c1=0.5490596664380655, c2=0.14949121169408083, score=0.704059 -   1.4s
[CV] c1=0.018112147312997467, c2=0.0006139190329570542 ...............
[CV]  c1=0.018112147312997467, c2=0.0006139190329570542, score=0.808580 -   1.5s
[CV] c1=0.04933963099480345, c2=0.05720572425008216 ..................
[CV]  c1=0.04933963099480345, c2=0.05720572425008216, score=0.810739 -   1.4s
[CV] c1=0.2516377937618162, c2=0.09967936841896476 ...................
[CV]  c1=0.2516377937618162, c2=0.09967936841896476, score=0.780772 -   1.4s
[CV] c1=0.06326076236902456, c2=0.03219870129153849 ..................
[CV]  c1=0.06326076236902456, c2=0.03219870129153849, score=0.906495 -   1.4s
[CV] c1=1.284549533821438, c2=0.031917822843807245 ...................
[CV]  c1=1.284549533821438, c2=0.031917822843807245, score=0.853114 -   1.4s
[CV] c1=0.1691843689053597, c2=0.05433019533405331 ...................
[CV]  c1=0.1691843689053597, c2=0.05433019533405331, score=0.859740 -   1.2s
[CV] c1=0.53450467657269, c2=0.03955423043285122 .....................
[CV]  c1=0.53450467657269, c2=0.03955423043285122, score=0.817778 -   1.3s
[CV] c1=0.25379130659940885, c2=0.011914370544658024 .................
[CV]  c1=0.25379130659940885, c2=0.011914370544658024, score=0.803412 -   1.5s
[CV] c1=0.761175567207164, c2=0.06636294690021144 ....................
[CV]  c1=0.761175567207164, c2=0.06636294690021144, score=0.669415 -   1.2s
[CV] c1=0.22412930081067275, c2=0.017645671749202847 .................
[CV]  c1=0.22412930081067275, c2=0.017645671749202847, score=0.751492 -   1.2s
[CV] c1=2.7343332678057846, c2=0.08093355071284027 ...................
[CV]  c1=2.7343332678057846, c2=0.08093355071284027, score=0.654188 -   1.3s
[CV] c1=0.5584261774108967, c2=0.01681099811760251 ...................
[CV]  c1=0.5584261774108967, c2=0.01681099811760251, score=0.744522 -   1.4s
[CV] c1=0.22824922487715532, c2=0.020791942981175236 .................
[CV]  c1=0.22824922487715532, c2=0.020791942981175236, score=0.797118 -   1.4s
[CV] c1=0.4735691626999018, c2=0.003734297389588584 ..................
[CV]  c1=0.4735691626999018, c2=0.003734297389588584, score=0.848485 -   1.4s
[CV] c1=0.9550135548054491, c2=0.10858750667394666 ...................
[CV]  c1=0.9550135548054491, c2=0.10858750667394666, score=0.865193 -   1.4s
[CV] c1=0.05594675097826741, c2=0.0010130907952438397 ................
[CV]  c1=0.05594675097826741, c2=0.0010130907952438397, score=0.756139 -   1.1s
[CV] c1=0.28268384498374494, c2=0.018922176572358573 .................
[CV]  c1=0.28268384498374494, c2=0.018922176572358573, score=0.901717 -   1.4s
[CV] c1=0.4207213927566117, c2=0.04358412452557514 ...................
[CV]  c1=0.4207213927566117, c2=0.04358412452557514, score=0.768047 -   1.4s
[CV] c1=0.6018457645440307, c2=0.04094059572613048 ...................
[CV]  c1=0.6018457645440307, c2=0.04094059572613048, score=0.734724 -   1.2s
[CV] c1=0.3505168581928758, c2=0.17282100499371628 ...................
[CV]  c1=0.3505168581928758, c2=0.17282100499371628, score=0.759749 -   1.4s
[CV] c1=0.3745280612627284, c2=0.02204830074062595 ...................
[CV]  c1=0.3745280612627284, c2=0.02204830074062595, score=0.858217 -   1.4s
[CV] c1=0.7525170513974974, c2=0.06463467417640749 ...................
[CV]  c1=0.7525170513974974, c2=0.06463467417640749, score=0.802206 -   1.4s
[CV] c1=0.08064072946338567, c2=0.0017224831819822603 ................
[CV]  c1=0.08064072946338567, c2=0.0017224831819822603, score=0.864007 -   1.3s
[CV] c1=0.39218233207253617, c2=0.08353449304798954 ..................
[CV]  c1=0.39218233207253617, c2=0.08353449304798954, score=0.748946 -   1.7s
[CV] c1=0.5490596664380655, c2=0.14949121169408083 ...................
[CV]  c1=0.5490596664380655, c2=0.14949121169408083, score=0.796262 -   1.5s
[CV] c1=0.7797219839134601, c2=0.09217384867589568 ...................
[CV]  c1=0.7797219839134601, c2=0.09217384867589568, score=0.684589 -   1.5s
[CV] c1=0.4763068001632079, c2=0.08192718629387796 ...................
[CV]  c1=0.4763068001632079, c2=0.08192718629387796, score=0.875056 -   1.4s
[CV] c1=0.031754761010235236, c2=0.13656196744803387 .................
[CV]  c1=0.031754761010235236, c2=0.13656196744803387, score=0.830334 -   1.4s
[CV] c1=0.06326076236902456, c2=0.03219870129153849 ..................
[CV]  c1=0.06326076236902456, c2=0.03219870129153849, score=0.857120 -   1.3s
[CV] c1=1.284549533821438, c2=0.031917822843807245 ...................
[CV]  c1=1.284549533821438, c2=0.031917822843807245, score=0.777049 -   1.3s
[CV] c1=0.1691843689053597, c2=0.05433019533405331 ...................
[CV]  c1=0.1691843689053597, c2=0.05433019533405331, score=0.798358 -   1.3s
[CV] c1=0.9625828132767281, c2=0.01917876418509933 ...................
[CV]  c1=0.9625828132767281, c2=0.01917876418509933, score=0.656268 -   1.1s
[CV] c1=0.02991135879520865, c2=0.06823973620012362 ..................
[CV]  c1=0.02991135879520865, c2=0.06823973620012362, score=0.776742 -   1.1s
[CV] c1=1.138216476056765, c2=0.02878731436701164 ....................
[CV]  c1=1.138216476056765, c2=0.02878731436701164, score=0.783154 -   1.3s
[CV] c1=0.2497503063915295, c2=0.015206928353491762 ..................
[CV]  c1=0.2497503063915295, c2=0.015206928353491762, score=0.749964 -   1.1s
[CV] c1=0.20018009844993492, c2=0.04358458714704816 ..................
[CV]  c1=0.20018009844993492, c2=0.04358458714704816, score=0.802320 -   1.6s
[CV] c1=0.5584261774108967, c2=0.01681099811760251 ...................
[CV]  c1=0.5584261774108967, c2=0.01681099811760251, score=0.897259 -   1.4s
[CV] c1=0.22824922487715532, c2=0.020791942981175236 .................
[CV]  c1=0.22824922487715532, c2=0.020791942981175236, score=0.901717 -   1.4s
[CV] c1=0.4735691626999018, c2=0.003734297389588584 ..................
[CV]  c1=0.4735691626999018, c2=0.003734297389588584, score=0.897702 -   1.4s
[CV] c1=0.6121649190109449, c2=0.12980280665922916 ...................
[CV]  c1=0.6121649190109449, c2=0.12980280665922916, score=0.712854 -   1.5s
[CV] c1=0.05594675097826741, c2=0.0010130907952438397 ................
[CV]  c1=0.05594675097826741, c2=0.0010130907952438397, score=0.891495 -   1.4s
[CV] c1=0.28268384498374494, c2=0.018922176572358573 .................
[CV]  c1=0.28268384498374494, c2=0.018922176572358573, score=0.816386 -   1.4s
[CV] c1=0.1344865371406914, c2=0.0035717794570085076 .................
[CV]  c1=0.1344865371406914, c2=0.0035717794570085076, score=0.730290 -   1.1s
[CV] c1=0.1691843689053597, c2=0.05433019533405331 ...................
[CV]  c1=0.1691843689053597, c2=0.05433019533405331, score=0.830065 -   1.3s
[CV] c1=0.3505168581928758, c2=0.17282100499371628 ...................
[CV]  c1=0.3505168581928758, c2=0.17282100499371628, score=0.728942 -   1.5s
[CV] c1=0.3745280612627284, c2=0.02204830074062595 ...................
[CV]  c1=0.3745280612627284, c2=0.02204830074062595, score=0.784717 -   1.4s
[CV] c1=0.7525170513974974, c2=0.06463467417640749 ...................
[CV]  c1=0.7525170513974974, c2=0.06463467417640749, score=0.790044 -   1.5s
[CV] c1=0.46155452863562185, c2=0.02407470409229893 ..................
[CV]  c1=0.46155452863562185, c2=0.02407470409229893, score=0.802223 -   1.5s
[CV] c1=0.6207905918024684, c2=0.05670481333098966 ...................
[CV]  c1=0.6207905918024684, c2=0.05670481333098966, score=0.716768 -   1.5s
[CV] c1=0.074217943913624, c2=0.0011059710899676831 ..................
[CV]  c1=0.074217943913624, c2=0.0011059710899676831, score=0.871040 -   1.4s
[CV] c1=1.256239043396955, c2=0.007646531718877201 ...................
[CV]  c1=1.256239043396955, c2=0.007646531718877201, score=0.621522 -   1.5s
[CV] c1=0.4763068001632079, c2=0.08192718629387796 ...................
[CV]  c1=0.4763068001632079, c2=0.08192718629387796, score=0.805561 -   1.3s
[CV] c1=0.031754761010235236, c2=0.13656196744803387 .................
[CV]  c1=0.031754761010235236, c2=0.13656196744803387, score=0.783198 -   1.4s
[CV] c1=0.06326076236902456, c2=0.03219870129153849 ..................
[CV]  c1=0.06326076236902456, c2=0.03219870129153849, score=0.822666 -   1.4s
[CV] c1=0.4207213927566117, c2=0.04358412452557514 ...................
[CV]  c1=0.4207213927566117, c2=0.04358412452557514, score=0.900771 -   1.5s
[CV] c1=0.6018457645440307, c2=0.04094059572613048 ...................
[CV]  c1=0.6018457645440307, c2=0.04094059572613048, score=0.784091 -   1.2s
[CV] c1=0.34233799836301143, c2=0.02469695243245179 ..................
[CV]  c1=0.34233799836301143, c2=0.02469695243245179, score=0.851626 -   1.1s
[CV] c1=0.8032600412101124, c2=0.10640133196291988 ...................
[CV]  c1=0.8032600412101124, c2=0.10640133196291988, score=0.672373 -   1.4s
[CV] c1=0.5839426042902599, c2=0.03708406331760866 ...................
[CV]  c1=0.5839426042902599, c2=0.03708406331760866, score=0.725034 -   1.5s
[CV] c1=0.48577314734999055, c2=0.06390490977125637 ..................
[CV]  c1=0.48577314734999055, c2=0.06390490977125637, score=0.798979 -   1.5s
[CV] c1=2.7343332678057846, c2=0.08093355071284027 ...................
[CV]  c1=2.7343332678057846, c2=0.08093355071284027, score=0.690897 -   1.4s
[CV] c1=0.5584261774108967, c2=0.01681099811760251 ...................
[CV]  c1=0.5584261774108967, c2=0.01681099811760251, score=0.830211 -   1.5s
[CV] c1=0.5388551295669902, c2=0.034837747804759345 ..................
[CV]  c1=0.5388551295669902, c2=0.034837747804759345, score=0.734724 -   1.6s
[CV] c1=0.29317139537444964, c2=0.012900947294645576 .................
[CV]  c1=0.29317139537444964, c2=0.012900947294645576, score=0.902237 -   1.4s
[CV] c1=0.09155591995374349, c2=0.0340630691090952 ...................
[CV]  c1=0.09155591995374349, c2=0.0340630691090952, score=0.743172 -   1.1s
[CV] c1=0.05594675097826741, c2=0.0010130907952438397 ................
[CV]  c1=0.05594675097826741, c2=0.0010130907952438397, score=0.867521 -   1.5s
[CV] c1=0.04636897306399837, c2=0.013496896665963444 .................
[CV]  c1=0.04636897306399837, c2=0.013496896665963444, score=0.801031 -   1.1s
[CV] c1=0.1344865371406914, c2=0.0035717794570085076 .................
[CV]  c1=0.1344865371406914, c2=0.0035717794570085076, score=0.800049 -   1.5s
[CV] c1=1.0082945627325526, c2=0.002915339507261886 ..................
[CV]  c1=1.0082945627325526, c2=0.002915339507261886, score=0.673405 -   0.9s
[CV] c1=0.40654986018163775, c2=0.10175121966183527 ..................
[CV]  c1=0.40654986018163775, c2=0.10175121966183527, score=0.740828 -   1.3s
[CV] c1=0.44802458380817467, c2=0.006475512127327856 .................
[CV]  c1=0.44802458380817467, c2=0.006475512127327856, score=0.829007 -   1.5s
[CV] c1=0.28680922879118725, c2=0.056269615957881436 .................
[CV]  c1=0.28680922879118725, c2=0.056269615957881436, score=0.750774 -   1.2s
[CV] c1=0.2497503063915295, c2=0.015206928353491762 ..................
[CV]  c1=0.2497503063915295, c2=0.015206928353491762, score=0.855454 -   1.4s
[CV] c1=2.7343332678057846, c2=0.08093355071284027 ...................
[CV]  c1=2.7343332678057846, c2=0.08093355071284027, score=0.596498 -   1.4s
[CV] c1=0.5584261774108967, c2=0.01681099811760251 ...................
[CV]  c1=0.5584261774108967, c2=0.01681099811760251, score=0.778724 -   1.5s
[CV] c1=0.5388551295669902, c2=0.034837747804759345 ..................
[CV]  c1=0.5388551295669902, c2=0.034837747804759345, score=0.738096 -   1.2s
[CV] c1=0.4735691626999018, c2=0.003734297389588584 ..................
[CV]  c1=0.4735691626999018, c2=0.003734297389588584, score=0.742428 -   1.2s
[CV] c1=0.4763068001632079, c2=0.08192718629387796 ...................
[CV]  c1=0.4763068001632079, c2=0.08192718629387796, score=0.726458 -   1.5s
[CV] c1=0.031754761010235236, c2=0.13656196744803387 .................
[CV]  c1=0.031754761010235236, c2=0.13656196744803387, score=0.840366 -   1.5s
[CV] c1=0.28268384498374494, c2=0.018922176572358573 .................
[CV]  c1=0.28268384498374494, c2=0.018922176572358573, score=0.797118 -   1.4s
[CV] c1=0.4207213927566117, c2=0.04358412452557514 ...................
[CV]  c1=0.4207213927566117, c2=0.04358412452557514, score=0.852430 -   1.3s
[CV] c1=0.6018457645440307, c2=0.04094059572613048 ...................
[CV]  c1=0.6018457645440307, c2=0.04094059572613048, score=0.819921 -   1.2s
[CV] c1=0.34233799836301143, c2=0.02469695243245179 ..................
[CV]  c1=0.34233799836301143, c2=0.02469695243245179, score=0.908075 -   1.1s
[CV] c1=0.8032600412101124, c2=0.10640133196291988 ...................
[CV]  c1=0.8032600412101124, c2=0.10640133196291988, score=0.780012 -   1.4s
[CV] c1=0.5839426042902599, c2=0.03708406331760866 ...................
[CV]  c1=0.5839426042902599, c2=0.03708406331760866, score=0.792761 -   1.5s
[CV] c1=0.2497503063915295, c2=0.015206928353491762 ..................
[CV]  c1=0.2497503063915295, c2=0.015206928353491762, score=0.901717 -   1.4s
[CV] c1=2.7343332678057846, c2=0.08093355071284027 ...................
[CV]  c1=2.7343332678057846, c2=0.08093355071284027, score=0.552864 -   1.2s
[CV] c1=0.14138939722155366, c2=0.0020758963082462174 ................
[CV]  c1=0.14138939722155366, c2=0.0020758963082462174, score=0.853497 -   1.4s
[CV] c1=0.19246234979045482, c2=0.09985811840107468 ..................
[CV]  c1=0.19246234979045482, c2=0.09985811840107468, score=0.824180 -   1.6s
[CV] c1=0.4735691626999018, c2=0.003734297389588584 ..................
[CV]  c1=0.4735691626999018, c2=0.003734297389588584, score=0.829739 -   1.6s
[CV] c1=0.9550135548054491, c2=0.10858750667394666 ...................
[CV]  c1=0.9550135548054491, c2=0.10858750667394666, score=0.778770 -   1.4s
[CV] c1=0.05594675097826741, c2=0.0010130907952438397 ................
[CV]  c1=0.05594675097826741, c2=0.0010130907952438397, score=0.856744 -   1.3s
[CV] c1=1.9908874388647424, c2=0.012981333415488294 ..................
[CV]  c1=1.9908874388647424, c2=0.012981333415488294, score=0.715157 -   1.3s
[CV] c1=0.1344865371406914, c2=0.0035717794570085076 .................
[CV]  c1=0.1344865371406914, c2=0.0035717794570085076, score=0.891620 -   1.4s
[CV] c1=0.05241887604079392, c2=0.06480151763297788 ..................
[CV]  c1=0.05241887604079392, c2=0.06480151763297788, score=0.816317 -   1.1s
[CV] c1=0.9625828132767281, c2=0.01917876418509933 ...................
[CV]  c1=0.9625828132767281, c2=0.01917876418509933, score=0.799765 -   1.3s
[CV] c1=0.3745280612627284, c2=0.02204830074062595 ...................
[CV]  c1=0.3745280612627284, c2=0.02204830074062595, score=0.726481 -   1.2s
[CV] c1=0.761175567207164, c2=0.06636294690021144 ....................
[CV]  c1=0.761175567207164, c2=0.06636294690021144, score=0.822112 -   1.4s
[CV] c1=0.05669022485620881, c2=0.005951553943224736 .................
[CV]  c1=0.05669022485620881, c2=0.005951553943224736, score=0.846330 -   1.3s
[CV] c1=1.2442587363988706, c2=0.05819255742897244 ...................
[CV]  c1=1.2442587363988706, c2=0.05819255742897244, score=0.863065 -   1.4s
[CV] c1=0.3272361069752012, c2=0.07220876476299555 ...................
[CV]  c1=0.3272361069752012, c2=0.07220876476299555, score=0.733457 -   1.2s
[CV] c1=0.05525588870970538, c2=0.0828350451131842 ...................
[CV]  c1=0.05525588870970538, c2=0.0828350451131842, score=0.897288 -   1.4s
[CV] c1=1.3156187812716778, c2=0.033181359306299105 ..................
[CV]  c1=1.3156187812716778, c2=0.033181359306299105, score=0.636884 -   1.2s
[CV] c1=0.6121649190109449, c2=0.12980280665922916 ...................
[CV]  c1=0.6121649190109449, c2=0.12980280665922916, score=0.796262 -   1.5s
[CV] c1=0.05594675097826741, c2=0.0010130907952438397 ................
[CV]  c1=0.05594675097826741, c2=0.0010130907952438397, score=0.789831 -   1.4s
[CV] c1=1.9908874388647424, c2=0.012981333415488294 ..................
[CV]  c1=1.9908874388647424, c2=0.012981333415488294, score=0.601777 -   1.5s
[CV] c1=0.3700875564642435, c2=0.04565730226497078 ...................
[CV]  c1=0.3700875564642435, c2=0.04565730226497078, score=0.735741 -   1.1s
[CV] c1=0.05241887604079392, c2=0.06480151763297788 ..................
[CV]  c1=0.05241887604079392, c2=0.06480151763297788, score=0.885429 -   1.1s
[CV] c1=0.5483975335056903, c2=0.09579650924390547 ...................
[CV]  c1=0.5483975335056903, c2=0.09579650924390547, score=0.719830 -   1.1s
[CV] c1=0.8225155063975937, c2=0.07930080513093862 ...................
[CV]  c1=0.8225155063975937, c2=0.07930080513093862, score=0.665708 -   1.1s
[CV] c1=0.28680922879118725, c2=0.056269615957881436 .................
[CV]  c1=0.28680922879118725, c2=0.056269615957881436, score=0.811184 -   1.5s
[CV] c1=0.28937541289307683, c2=0.02409971488636438 ..................
[CV]  c1=0.28937541289307683, c2=0.02409971488636438, score=0.737339 -   1.2s
[CV] c1=2.7343332678057846, c2=0.08093355071284027 ...................
[CV]  c1=2.7343332678057846, c2=0.08093355071284027, score=0.506064 -   1.5s
[CV] c1=1.1936631782432368, c2=0.02255953227338419 ...................
[CV]  c1=1.1936631782432368, c2=0.02255953227338419, score=0.754548 -   1.3s
[CV] c1=0.5388551295669902, c2=0.034837747804759345 ..................
[CV]  c1=0.5388551295669902, c2=0.034837747804759345, score=0.840978 -   1.4s
[CV] c1=0.6625959945572847, c2=0.0142002068420336 ....................
[CV]  c1=0.6625959945572847, c2=0.0142002068420336, score=0.818217 -   1.4s
[CV] c1=0.7472556601963087, c2=0.016930655521660315 ..................
[CV]  c1=0.7472556601963087, c2=0.016930655521660315, score=0.872808 -   1.5s
[CV] c1=0.10168605969149229, c2=0.008839565274885709 .................
[CV]  c1=0.10168605969149229, c2=0.008839565274885709, score=0.858055 -   1.4s
[CV] c1=0.04636897306399837, c2=0.013496896665963444 .................
[CV]  c1=0.04636897306399837, c2=0.013496896665963444, score=0.866884 -   1.4s
[CV] c1=0.3760665617126374, c2=0.0633407985662771 ....................
[CV]  c1=0.3760665617126374, c2=0.0633407985662771, score=0.738262 -   1.1s
[CV] c1=1.0082945627325526, c2=0.002915339507261886 ..................
[CV]  c1=1.0082945627325526, c2=0.002915339507261886, score=0.878239 -   1.0s
[CV] c1=0.8279603950137697, c2=0.013287432603642771 ..................
[CV]  c1=0.8279603950137697, c2=0.013287432603642771, score=0.815664 -   1.3s
[CV] c1=0.11310341385551854, c2=0.05764250123903706 ..................
[CV]  c1=0.11310341385551854, c2=0.05764250123903706, score=0.810739 -   1.4s
[CV] c1=0.7367501864618202, c2=0.04352344475507572 ...................
[CV]  c1=0.7367501864618202, c2=0.04352344475507572, score=0.675993 -   1.1s
[CV] c1=0.08064072946338567, c2=0.0017224831819822603 ................
[CV]  c1=0.08064072946338567, c2=0.0017224831819822603, score=0.896513 -   1.4s
[CV] c1=0.39218233207253617, c2=0.08353449304798954 ..................
[CV]  c1=0.39218233207253617, c2=0.08353449304798954, score=0.741327 -   1.1s
[CV] c1=0.3272361069752012, c2=0.07220876476299555 ...................
[CV]  c1=0.3272361069752012, c2=0.07220876476299555, score=0.895247 -   1.3s
[CV] c1=0.18640141100330182, c2=0.020503064937306876 .................
[CV]  c1=0.18640141100330182, c2=0.020503064937306876, score=0.901717 -   1.4s
[CV] c1=1.3156187812716778, c2=0.033181359306299105 ..................
[CV]  c1=1.3156187812716778, c2=0.033181359306299105, score=0.766597 -   1.3s
[CV] c1=0.7472556601963087, c2=0.016930655521660315 ..................
[CV]  c1=0.7472556601963087, c2=0.016930655521660315, score=0.805619 -   1.4s
[CV] c1=0.10168605969149229, c2=0.008839565274885709 .................
[CV]  c1=0.10168605969149229, c2=0.008839565274885709, score=0.739366 -   1.2s
[CV] c1=1.9908874388647424, c2=0.012981333415488294 ..................
[CV]  c1=1.9908874388647424, c2=0.012981333415488294, score=0.797311 -   1.4s
[CV] c1=0.1344865371406914, c2=0.0035717794570085076 .................
[CV]  c1=0.1344865371406914, c2=0.0035717794570085076, score=0.852089 -   1.4s
[CV] c1=0.05241887604079392, c2=0.06480151763297788 ..................
[CV]  c1=0.05241887604079392, c2=0.06480151763297788, score=0.844067 -   1.1s
[CV] c1=0.40654986018163775, c2=0.10175121966183527 ..................
[CV]  c1=0.40654986018163775, c2=0.10175121966183527, score=0.870890 -   1.3s
[CV] c1=0.44802458380817467, c2=0.006475512127327856 .................
[CV]  c1=0.44802458380817467, c2=0.006475512127327856, score=0.737424 -   1.2s
[CV] c1=0.5839426042902599, c2=0.03708406331760866 ...................
[CV]  c1=0.5839426042902599, c2=0.03708406331760866, score=0.825353 -   1.4s
[CV] c1=0.48577314734999055, c2=0.06390490977125637 ..................
[CV]  c1=0.48577314734999055, c2=0.06390490977125637, score=0.832413 -   1.4s
[CV] c1=0.20018009844993492, c2=0.04358458714704816 ..................
[CV]  c1=0.20018009844993492, c2=0.04358458714704816, score=0.817369 -   1.4s
[CV] c1=0.14138939722155366, c2=0.0020758963082462174 ................
[CV]  c1=0.14138939722155366, c2=0.0020758963082462174, score=0.821907 -   1.6s
[CV] c1=0.22824922487715532, c2=0.020791942981175236 .................
[CV]  c1=0.22824922487715532, c2=0.020791942981175236, score=0.855454 -   1.4s
[CV] c1=0.4735691626999018, c2=0.003734297389588584 ..................
[CV]  c1=0.4735691626999018, c2=0.003734297389588584, score=0.770681 -   1.5s
[CV] c1=0.9550135548054491, c2=0.10858750667394666 ...................
[CV]  c1=0.9550135548054491, c2=0.10858750667394666, score=0.653632 -   1.2s
[CV] c1=0.8892334463999613, c2=0.01521891854920901 ...................
[CV]  c1=0.8892334463999613, c2=0.01521891854920901, score=0.689680 -   1.6s
[CV] c1=1.9908874388647424, c2=0.012981333415488294 ..................
[CV]  c1=1.9908874388647424, c2=0.012981333415488294, score=0.632750 -   1.5s
[CV] c1=0.1344865371406914, c2=0.0035717794570085076 .................
[CV]  c1=0.1344865371406914, c2=0.0035717794570085076, score=0.864980 -   1.5s
[CV] c1=1.0082945627325526, c2=0.002915339507261886 ..................
[CV]  c1=1.0082945627325526, c2=0.002915339507261886, score=0.678843 -   1.0s
[CV] c1=0.34233799836301143, c2=0.02469695243245179 ..................
[CV]  c1=0.34233799836301143, c2=0.02469695243245179, score=0.765258 -   1.2s
[CV] c1=0.8032600412101124, c2=0.10640133196291988 ...................
[CV]  c1=0.8032600412101124, c2=0.10640133196291988, score=0.791271 -   1.4s
[CV] c1=1.138216476056765, c2=0.02878731436701164 ....................
[CV]  c1=1.138216476056765, c2=0.02878731436701164, score=0.874733 -   1.4s
[CV] c1=0.2497503063915295, c2=0.015206928353491762 ..................
[CV]  c1=0.2497503063915295, c2=0.015206928353491762, score=0.789067 -   1.5s
[CV] c1=0.04625567388660928, c2=0.019278667317134065 .................
[CV]  c1=0.04625567388660928, c2=0.019278667317134065, score=0.901717 -   1.4s
[CV] c1=1.1936631782432368, c2=0.02255953227338419 ...................
[CV]  c1=1.1936631782432368, c2=0.02255953227338419, score=0.625776 -   1.5s
[CV] c1=0.05525588870970538, c2=0.0828350451131842 ...................
[CV]  c1=0.05525588870970538, c2=0.0828350451131842, score=0.763103 -   1.1s
[CV] c1=0.6625959945572847, c2=0.0142002068420336 ....................
[CV]  c1=0.6625959945572847, c2=0.0142002068420336, score=0.888932 -   1.5s
[CV] c1=0.9550135548054491, c2=0.10858750667394666 ...................
[CV]  c1=0.9550135548054491, c2=0.10858750667394666, score=0.671131 -   1.4s
[CV] c1=0.10168605969149229, c2=0.008839565274885709 .................
[CV]  c1=0.10168605969149229, c2=0.008839565274885709, score=0.901717 -   1.5s
[CV] c1=0.18556416046221264, c2=0.08936261305143116 ..................
[CV]  c1=0.18556416046221264, c2=0.08936261305143116, score=0.753818 -   1.2s
[CV] c1=0.3700875564642435, c2=0.04565730226497078 ...................
[CV]  c1=0.3700875564642435, c2=0.04565730226497078, score=0.895715 -   1.3s
[CV] c1=0.05241887604079392, c2=0.06480151763297788 ..................
[CV]  c1=0.05241887604079392, c2=0.06480151763297788, score=0.857727 -   1.1s
Training done in: 19.787033s
     Saving training model...
        Saving training model done in: 0.013500s
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Prediction done in: 0.033473s