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

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Run7_v12.txt 72.7 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run7
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: TrueS4: False
Run variant: 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: 0.003654s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0        1
0       lemma        :
1      postag        :
2    -1:lemma       in
3   -1:postag       IN
4    +1:lemma       m9
5   +1:postag       NN
6        word        :
7     isUpper    False
8     isLower    False
9     isGreek    False
10   isNumber    False
11    -1:word       in
12    +1:word       M9
13   -2:lemma  culture
14  -2:postag      VBN
15   +2:lemma  minimal
16  +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
13   -2:lemma     affyexp
14  -2:postag          JJ
15   +2:lemma     glucose
16  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=1.1519948628211174, c2=0.024740408392597786 ..................
[CV]  c1=1.1519948628211174, c2=0.024740408392597786, score=0.803722 -   1.4s
[CV] c1=0.42827117257061215, c2=0.09438838705656444 ..................
[CV]  c1=0.42827117257061215, c2=0.09438838705656444, score=0.774590 -   1.6s
[CV] c1=0.06164461193439699, c2=0.0021492996732518717 ................
[CV]  c1=0.06164461193439699, c2=0.0021492996732518717, score=0.905292 -   1.5s
[CV] c1=1.4719277482789663, c2=0.017985576639400733 ..................
[CV]  c1=1.4719277482789663, c2=0.017985576639400733, score=0.574073 -   1.2s
[CV] c1=1.8063337009678546, c2=0.02424525760038676 ...................
[CV]  c1=1.8063337009678546, c2=0.02424525760038676, score=0.606476 -   1.5s
[CV] c1=0.1053625052804052, c2=0.19047780823075322 ...................
[CV]  c1=0.1053625052804052, c2=0.19047780823075322, score=0.783363 -   1.6s
[CV] c1=0.09373936091055729, c2=0.01090967424426503 ..................
[CV]  c1=0.09373936091055729, c2=0.01090967424426503, score=0.862067 -   1.5s
[CV] c1=0.037451883373225345, c2=0.03533887043806316 .................
[CV]  c1=0.037451883373225345, c2=0.03533887043806316, score=0.796176 -   1.5s
[CV] c1=0.09926412420443988, c2=0.034866939215029716 .................
[CV]  c1=0.09926412420443988, c2=0.034866939215029716, score=0.726904 -   1.2s
[CV] c1=2.630071680070872, c2=0.08214724112771266 ....................
[CV]  c1=2.630071680070872, c2=0.08214724112771266, score=0.621159 -   1.5s
[CV] c1=0.4546764094216169, c2=0.13661163858316452 ...................
[CV]  c1=0.4546764094216169, c2=0.13661163858316452, score=0.805380 -   1.5s
[CV] c1=0.19248991303083052, c2=0.02170155814832994 ..................
[CV]  c1=0.19248991303083052, c2=0.02170155814832994, score=0.739257 -   1.2s
[CV] c1=2.084440878742008, c2=0.18831620729393203 ....................
[CV]  c1=2.084440878742008, c2=0.18831620729393203, score=0.783278 -   1.4s
[CV] c1=0.5983915085619566, c2=0.032814751621498134 ..................
[CV]  c1=0.5983915085619566, c2=0.032814751621498134, score=0.711001 -   1.2s
[CV] c1=1.1199348990816065, c2=0.0055147973536028025 .................
[CV]  c1=1.1199348990816065, c2=0.0055147973536028025, score=0.640371 -   1.6s
[CV] c1=0.9735107046910693, c2=0.0311301825839672 ....................
[CV]  c1=0.9735107046910693, c2=0.0311301825839672, score=0.856123 -   1.6s
[CV] c1=0.273172556588676, c2=0.11059477295058849 ....................
[CV]  c1=0.273172556588676, c2=0.11059477295058849, score=0.794224 -   1.6s
[CV] c1=0.03721895155022407, c2=0.0010022413948214937 ................
[CV]  c1=0.03721895155022407, c2=0.0010022413948214937, score=0.851599 -   1.5s
[CV] c1=0.848383285949541, c2=0.041168745819179876 ...................
[CV]  c1=0.848383285949541, c2=0.041168745819179876, score=0.737105 -   1.5s
[CV] c1=0.034988412498844164, c2=0.05944199165424198 .................
[CV]  c1=0.034988412498844164, c2=0.05944199165424198, score=0.723330 -   1.2s
[CV] c1=0.5163091388673626, c2=0.06282009921104066 ...................
[CV]  c1=0.5163091388673626, c2=0.06282009921104066, score=0.802718 -   1.6s
[CV] c1=1.024969625099047, c2=0.14036124182614862 ....................
[CV]  c1=1.024969625099047, c2=0.14036124182614862, score=0.647711 -   1.6s
[CV] c1=0.4546764094216169, c2=0.13661163858316452 ...................
[CV]  c1=0.4546764094216169, c2=0.13661163858316452, score=0.891322 -   1.5s
[CV] c1=1.3218344182286619, c2=0.010732118225266311 ..................
[CV]  c1=1.3218344182286619, c2=0.010732118225266311, score=0.596587 -   1.6s
[CV] c1=0.37158555262838977, c2=0.049778958921125646 .................
[CV]  c1=0.37158555262838977, c2=0.049778958921125646, score=0.730012 -   0.9s
[CV] c1=0.006582369728043033, c2=0.06340012419800833 .................
[CV]  c1=0.006582369728043033, c2=0.06340012419800833, score=0.874810 -   1.6s
[CV] c1=0.20836829448692157, c2=0.19261704479634625 ..................
[CV]  c1=0.20836829448692157, c2=0.19261704479634625, score=0.781800 -   1.7s
[CV] c1=2.9013558891840754, c2=0.007535775145729062 ..................
[CV]  c1=2.9013558891840754, c2=0.007535775145729062, score=0.517291 -   1.6s
[CV] c1=0.032561955525168405, c2=0.009783128512595655 ................
[CV]  c1=0.032561955525168405, c2=0.009783128512595655, score=0.807605 -   1.6s
[CV] c1=0.821458756381012, c2=0.04887239171302178 ....................
[CV]  c1=0.821458756381012, c2=0.04887239171302178, score=0.773971 -   1.6s
[CV] c1=0.24438266724594152, c2=0.015475966245764064 .................
[CV]  c1=0.24438266724594152, c2=0.015475966245764064, score=0.813673 -   1.7s
[CV] c1=0.2369371539387539, c2=0.04402436080110807 ...................
[CV]  c1=0.2369371539387539, c2=0.04402436080110807, score=0.746818 -   1.2s
[CV] c1=0.5163091388673626, c2=0.06282009921104066 ...................
[CV]  c1=0.5163091388673626, c2=0.06282009921104066, score=0.889211 -   1.7s
[CV] c1=0.19288361816106167, c2=0.0010969062542901164 ................
[CV]  c1=0.19288361816106167, c2=0.0010969062542901164, score=0.806991 -   1.6s
[CV] c1=0.3751550609775256, c2=0.028057866626421585 ..................
[CV]  c1=0.3751550609775256, c2=0.028057866626421585, score=0.859037 -   1.6s
[CV] c1=0.038069460276669125, c2=0.0674626772166068 ..................
[CV]  c1=0.038069460276669125, c2=0.0674626772166068, score=0.874810 -   1.5s
[CV] c1=2.92753932033941, c2=0.02550884948103734 .....................
[CV]  c1=2.92753932033941, c2=0.02550884948103734, score=0.688146 -   1.5s
[CV] c1=0.45545924412559363, c2=0.09220614891046294 ..................
[CV]  c1=0.45545924412559363, c2=0.09220614891046294, score=0.765301 -   1.6s
[CV] c1=0.07000813545476688, c2=0.006526088821767511 .................
[CV]  c1=0.07000813545476688, c2=0.006526088821767511, score=0.731375 -   1.2s
[CV] c1=0.060707649040802295, c2=0.08793237666291742 .................
[CV]  c1=0.060707649040802295, c2=0.08793237666291742, score=0.802058 -   1.5s
[CV] c1=1.1844802209151635, c2=0.031077978151044183 ..................
[CV]  c1=1.1844802209151635, c2=0.031077978151044183, score=0.794448 -   1.5s
[CV] c1=1.257913501066348, c2=0.13891550129558303 ....................
[CV]  c1=1.257913501066348, c2=0.13891550129558303, score=0.849328 -   1.5s
[CV] c1=0.24695917311396556, c2=0.10527302693014062 ..................
[CV]  c1=0.24695917311396556, c2=0.10527302693014062, score=0.694331 -   1.3s
[CV] c1=0.037451883373225345, c2=0.03533887043806316 .................
[CV]  c1=0.037451883373225345, c2=0.03533887043806316, score=0.893784 -   1.5s
[CV] c1=1.0206693514699345, c2=0.01657236418442986 ...................
[CV]  c1=1.0206693514699345, c2=0.01657236418442986, score=0.856842 -   1.6s
[CV] c1=0.45442905155043534, c2=0.04586181064073056 ..................
[CV]  c1=0.45442905155043534, c2=0.04586181064073056, score=0.892373 -   1.5s
[CV] c1=0.12493816295107267, c2=0.04133511709896564 ..................
[CV]  c1=0.12493816295107267, c2=0.04133511709896564, score=0.806023 -   1.5s
[CV] c1=0.19248991303083052, c2=0.02170155814832994 ..................
[CV]  c1=0.19248991303083052, c2=0.02170155814832994, score=0.871290 -   1.4s
[CV] c1=0.6833805256032035, c2=0.16510893264198923 ...................
[CV]  c1=0.6833805256032035, c2=0.16510893264198923, score=0.794587 -   1.4s
[CV] c1=0.30646757751651144, c2=0.05318652805047707 ..................
[CV]  c1=0.30646757751651144, c2=0.05318652805047707, score=0.822560 -   1.6s
[CV] c1=1.1199348990816065, c2=0.0055147973536028025 .................
[CV]  c1=1.1199348990816065, c2=0.0055147973536028025, score=0.612249 -   1.6s
[CV] c1=0.9735107046910693, c2=0.0311301825839672 ....................
[CV]  c1=0.9735107046910693, c2=0.0311301825839672, score=0.664886 -   1.6s
[CV] c1=1.8063337009678546, c2=0.02424525760038676 ...................
[CV]  c1=1.8063337009678546, c2=0.02424525760038676, score=0.794421 -   1.6s
[CV] c1=0.1053625052804052, c2=0.19047780823075322 ...................
[CV]  c1=0.1053625052804052, c2=0.19047780823075322, score=0.862813 -   1.6s
[CV] c1=0.2613115012598768, c2=0.20290134611251012 ...................
[CV]  c1=0.2613115012598768, c2=0.20290134611251012, score=0.764165 -   1.5s
[CV] c1=0.034988412498844164, c2=0.05944199165424198 .................
[CV]  c1=0.034988412498844164, c2=0.05944199165424198, score=0.840527 -   1.5s
[CV] c1=0.2582720122749537, c2=0.0034725469185403444 .................
[CV]  c1=0.2582720122749537, c2=0.0034725469185403444, score=0.859037 -   1.5s
[CV] c1=2.630071680070872, c2=0.08214724112771266 ....................
[CV]  c1=2.630071680070872, c2=0.08214724112771266, score=0.526749 -   1.6s
[CV] c1=0.12493816295107267, c2=0.04133511709896564 ..................
[CV]  c1=0.12493816295107267, c2=0.04133511709896564, score=0.707820 -   1.3s
[CV] c1=0.038069460276669125, c2=0.0674626772166068 ..................
[CV]  c1=0.038069460276669125, c2=0.0674626772166068, score=0.840527 -   1.5s
[CV] c1=0.3008332171519279, c2=0.0004723211434178455 .................
[CV]  c1=0.3008332171519279, c2=0.0004723211434178455, score=0.839059 -   1.4s
[CV] c1=1.0045122338806687, c2=0.03858188925199153 ...................
[CV]  c1=1.0045122338806687, c2=0.03858188925199153, score=0.690203 -   1.6s
[CV] c1=3.0205761463522327, c2=0.09517687419192818 ...................
[CV]  c1=3.0205761463522327, c2=0.09517687419192818, score=0.430206 -   1.2s
[CV] c1=0.06529020854048764, c2=0.02878282061663224 ..................
[CV]  c1=0.06529020854048764, c2=0.02878282061663224, score=0.850857 -   1.5s
[CV] c1=0.022655329272610998, c2=0.01579907158919043 .................
[CV]  c1=0.022655329272610998, c2=0.01579907158919043, score=0.805365 -   1.6s
[CV] c1=0.03721895155022407, c2=0.0010022413948214937 ................
[CV]  c1=0.03721895155022407, c2=0.0010022413948214937, score=0.895558 -   1.5s
[CV] c1=0.24438266724594152, c2=0.015475966245764064 .................
[CV]  c1=0.24438266724594152, c2=0.015475966245764064, score=0.816376 -   1.6s
[CV] c1=0.2369371539387539, c2=0.04402436080110807 ...................
[CV]  c1=0.2369371539387539, c2=0.04402436080110807, score=0.865502 -   1.5s
[CV] c1=0.5501674156749121, c2=0.05673256785894603 ...................
[CV]  c1=0.5501674156749121, c2=0.05673256785894603, score=0.796386 -   1.6s
[CV] c1=2.630071680070872, c2=0.08214724112771266 ....................
[CV]  c1=2.630071680070872, c2=0.08214724112771266, score=0.588820 -   1.5s
[CV] c1=0.4546764094216169, c2=0.13661163858316452 ...................
[CV]  c1=0.4546764094216169, c2=0.13661163858316452, score=0.825633 -   1.5s
[CV] c1=0.038069460276669125, c2=0.0674626772166068 ..................
[CV]  c1=0.038069460276669125, c2=0.0674626772166068, score=0.814672 -   1.6s
[CV] c1=0.6457747861576254, c2=0.004982665552446391 ..................
[CV]  c1=0.6457747861576254, c2=0.004982665552446391, score=0.786826 -   1.4s
[CV] c1=0.5983915085619566, c2=0.032814751621498134 ..................
[CV]  c1=0.5983915085619566, c2=0.032814751621498134, score=0.885501 -   1.5s
[CV] c1=3.0205761463522327, c2=0.09517687419192818 ...................
[CV]  c1=3.0205761463522327, c2=0.09517687419192818, score=0.582105 -   1.5s
[CV] c1=0.0278093432397807, c2=0.0031777519912424253 .................
[CV]  c1=0.0278093432397807, c2=0.0031777519912424253, score=0.828162 -   1.6s
[CV] c1=1.1844802209151635, c2=0.031077978151044183 ..................
[CV]  c1=1.1844802209151635, c2=0.031077978151044183, score=0.634407 -   1.6s
[CV] c1=0.3866721662199607, c2=0.1080422664602867 ....................
[CV]  c1=0.3866721662199607, c2=0.1080422664602867, score=0.817490 -   1.7s
[CV] c1=0.24695917311396556, c2=0.10527302693014062 ..................
[CV]  c1=0.24695917311396556, c2=0.10527302693014062, score=0.865502 -   1.5s
[CV] c1=0.10339467121368723, c2=0.057343942842703444 .................
[CV]  c1=0.10339467121368723, c2=0.057343942842703444, score=0.855817 -   1.4s
[CV] c1=0.09926412420443988, c2=0.034866939215029716 .................
[CV]  c1=0.09926412420443988, c2=0.034866939215029716, score=0.804447 -   1.6s
[CV] c1=1.699561782412639, c2=0.11221976716753815 ....................
[CV]  c1=1.699561782412639, c2=0.11221976716753815, score=0.541055 -   1.2s
[CV] c1=0.12493816295107267, c2=0.04133511709896564 ..................
[CV]  c1=0.12493816295107267, c2=0.04133511709896564, score=0.855817 -   1.6s
[CV] c1=0.7188668733691747, c2=0.02600348032358296 ...................
[CV]  c1=0.7188668733691747, c2=0.02600348032358296, score=0.703290 -   1.2s
[CV] c1=0.3008332171519279, c2=0.0004723211434178455 .................
[CV]  c1=0.3008332171519279, c2=0.0004723211434178455, score=0.802138 -   1.4s
[CV] c1=1.0045122338806687, c2=0.03858188925199153 ...................
[CV]  c1=1.0045122338806687, c2=0.03858188925199153, score=0.858733 -   1.6s
[CV] c1=0.15580711422814317, c2=0.03178009468378831 ..................
[CV]  c1=0.15580711422814317, c2=0.03178009468378831, score=0.744922 -   1.3s
[CV] c1=0.06529020854048764, c2=0.02878282061663224 ..................
[CV]  c1=0.06529020854048764, c2=0.02878282061663224, score=0.898208 -   1.6s
[CV] c1=0.022655329272610998, c2=0.01579907158919043 .................
[CV]  c1=0.022655329272610998, c2=0.01579907158919043, score=0.857107 -   1.4s
[CV] c1=0.39442399577862297, c2=0.177009493884939 ....................
[CV]  c1=0.39442399577862297, c2=0.177009493884939, score=0.671765 -   1.3s
[CV] c1=0.8170722415835514, c2=0.018660093163772182 ..................
[CV]  c1=0.8170722415835514, c2=0.018660093163772182, score=0.867316 -   1.5s
[CV] c1=0.40052171222278155, c2=0.10797698580429138 ..................
[CV]  c1=0.40052171222278155, c2=0.10797698580429138, score=0.708163 -   1.2s
[CV] c1=0.7585167308326348, c2=0.08133181438925106 ...................
[CV]  c1=0.7585167308326348, c2=0.08133181438925106, score=0.864939 -   1.5s
[CV] c1=0.540202249210225, c2=0.009187336771688375 ...................
[CV]  c1=0.540202249210225, c2=0.009187336771688375, score=0.705658 -   1.2s
[CV] c1=0.40480369865625265, c2=0.0003310172877476489 ................
[CV]  c1=0.40480369865625265, c2=0.0003310172877476489, score=0.806991 -   1.6s
[CV] c1=0.2965393512474467, c2=0.044649966293600934 ..................
[CV]  c1=0.2965393512474467, c2=0.044649966293600934, score=0.868329 -   1.4s
[CV] c1=0.9817017682738022, c2=0.03542774521817681 ...................
[CV]  c1=0.9817017682738022, c2=0.03542774521817681, score=0.678898 -   1.2s
[CV] c1=0.3008332171519279, c2=0.0004723211434178455 .................
[CV]  c1=0.3008332171519279, c2=0.0004723211434178455, score=0.859037 -   1.4s
[CV] c1=0.6866061672338543, c2=0.04059277035362375 ...................
[CV]  c1=0.6866061672338543, c2=0.04059277035362375, score=0.782460 -   1.6s
[CV] c1=0.15580711422814317, c2=0.03178009468378831 ..................
[CV]  c1=0.15580711422814317, c2=0.03178009468378831, score=0.805821 -   1.6s
[CV] c1=0.0278093432397807, c2=0.0031777519912424253 .................
[CV]  c1=0.0278093432397807, c2=0.0031777519912424253, score=0.759310 -   1.2s
[CV] c1=0.022655329272610998, c2=0.01579907158919043 .................
[CV]  c1=0.022655329272610998, c2=0.01579907158919043, score=0.831071 -   1.6s
[CV] c1=0.03721895155022407, c2=0.0010022413948214937 ................
[CV]  c1=0.03721895155022407, c2=0.0010022413948214937, score=0.832458 -   1.6s
[CV] c1=0.2613115012598768, c2=0.20290134611251012 ...................
[CV]  c1=0.2613115012598768, c2=0.20290134611251012, score=0.889495 -   1.5s
[CV] c1=0.034988412498844164, c2=0.05944199165424198 .................
[CV]  c1=0.034988412498844164, c2=0.05944199165424198, score=0.814672 -   1.5s
[CV] c1=0.2582720122749537, c2=0.0034725469185403444 .................
[CV]  c1=0.2582720122749537, c2=0.0034725469185403444, score=0.810059 -   1.6s
[CV] c1=0.45442905155043534, c2=0.04586181064073056 ..................
[CV]  c1=0.45442905155043534, c2=0.04586181064073056, score=0.782640 -   1.7s
[CV] c1=0.3334255059207343, c2=0.007586695943964857 ..................
[CV]  c1=0.3334255059207343, c2=0.007586695943964857, score=0.723751 -   1.2s
[CV] c1=0.19248991303083052, c2=0.02170155814832994 ..................
[CV]  c1=0.19248991303083052, c2=0.02170155814832994, score=0.812055 -   1.7s
[CV] c1=0.6833805256032035, c2=0.16510893264198923 ...................
[CV]  c1=0.6833805256032035, c2=0.16510893264198923, score=0.865182 -   1.5s
[CV] c1=0.6866061672338543, c2=0.04059277035362375 ...................
[CV]  c1=0.6866061672338543, c2=0.04059277035362375, score=0.876911 -   1.5s
[CV] c1=1.1199348990816065, c2=0.0055147973536028025 .................
[CV]  c1=1.1199348990816065, c2=0.0055147973536028025, score=0.678898 -   1.3s
[CV] c1=0.30850472299834053, c2=0.0196750664541839 ...................
[CV]  c1=0.30850472299834053, c2=0.0196750664541839, score=0.907129 -   1.6s
[CV] c1=0.032561955525168405, c2=0.009783128512595655 ................
[CV]  c1=0.032561955525168405, c2=0.009783128512595655, score=0.751439 -   1.2s
[CV] c1=1.5623711516435121, c2=0.08554486732684535 ...................
[CV]  c1=1.5623711516435121, c2=0.08554486732684535, score=0.811301 -   1.5s
[CV] c1=0.06127514724231947, c2=0.051930475323638786 .................
[CV]  c1=0.06127514724231947, c2=0.051930475323638786, score=0.885813 -   1.6s
[CV] c1=0.20298427113465956, c2=0.03769218930386749 ..................
[CV]  c1=0.20298427113465956, c2=0.03769218930386749, score=0.721676 -   1.2s
[CV] c1=0.10339467121368723, c2=0.057343942842703444 .................
[CV]  c1=0.10339467121368723, c2=0.057343942842703444, score=0.827103 -   1.6s
[CV] c1=0.6282040392196055, c2=0.00955664250915244 ...................
[CV]  c1=0.6282040392196055, c2=0.00955664250915244, score=0.813149 -   1.4s
[CV] c1=1.699561782412639, c2=0.11221976716753815 ....................
[CV]  c1=1.699561782412639, c2=0.11221976716753815, score=0.805626 -   1.6s
[CV] c1=0.2965393512474467, c2=0.044649966293600934 ..................
[CV]  c1=0.2965393512474467, c2=0.044649966293600934, score=0.725662 -   1.2s
[CV] c1=0.19248991303083052, c2=0.02170155814832994 ..................
[CV]  c1=0.19248991303083052, c2=0.02170155814832994, score=0.822560 -   1.5s
[CV] c1=2.92753932033941, c2=0.02550884948103734 .....................
[CV]  c1=2.92753932033941, c2=0.02550884948103734, score=0.521160 -   1.5s
[CV] c1=0.20836829448692157, c2=0.19261704479634625 ..................
[CV]  c1=0.20836829448692157, c2=0.19261704479634625, score=0.885235 -   1.6s
[CV] c1=2.9013558891840754, c2=0.007535775145729062 ..................
[CV]  c1=2.9013558891840754, c2=0.007535775145729062, score=0.579471 -   1.6s
[CV] c1=0.6766695488668438, c2=0.11403636662626507 ...................
[CV]  c1=0.6766695488668438, c2=0.11403636662626507, score=0.806540 -   1.4s
[CV] c1=1.5623711516435121, c2=0.08554486732684535 ...................
[CV]  c1=1.5623711516435121, c2=0.08554486732684535, score=0.541055 -   1.2s
[CV] c1=1.257913501066348, c2=0.13891550129558303 ....................
[CV]  c1=1.257913501066348, c2=0.13891550129558303, score=0.631586 -   1.6s
[CV] c1=0.10992363627124602, c2=0.0012899378406112337 ................
[CV]  c1=0.10992363627124602, c2=0.0012899378406112337, score=0.726163 -   1.2s
[CV] c1=0.037451883373225345, c2=0.03533887043806316 .................
[CV]  c1=0.037451883373225345, c2=0.03533887043806316, score=0.840527 -   1.5s
[CV] c1=1.0206693514699345, c2=0.01657236418442986 ...................
[CV]  c1=1.0206693514699345, c2=0.01657236418442986, score=0.638616 -   1.6s
[CV] c1=0.45442905155043534, c2=0.04586181064073056 ..................
[CV]  c1=0.45442905155043534, c2=0.04586181064073056, score=0.802130 -   1.6s
[CV] c1=0.3334255059207343, c2=0.007586695943964857 ..................
[CV]  c1=0.3334255059207343, c2=0.007586695943964857, score=0.913558 -   1.5s
[CV] c1=0.7188668733691747, c2=0.02600348032358296 ...................
[CV]  c1=0.7188668733691747, c2=0.02600348032358296, score=0.860887 -   1.5s
[CV] c1=0.3008332171519279, c2=0.0004723211434178455 .................
[CV]  c1=0.3008332171519279, c2=0.0004723211434178455, score=0.909195 -   1.4s
[CV] c1=0.6866061672338543, c2=0.04059277035362375 ...................
[CV]  c1=0.6866061672338543, c2=0.04059277035362375, score=0.721238 -   1.6s
[CV] c1=0.15580711422814317, c2=0.03178009468378831 ..................
[CV]  c1=0.15580711422814317, c2=0.03178009468378831, score=0.905292 -   1.6s
[CV] c1=0.9735107046910693, c2=0.0311301825839672 ....................
[CV]  c1=0.9735107046910693, c2=0.0311301825839672, score=0.668222 -   1.2s
[CV] c1=0.032561955525168405, c2=0.009783128512595655 ................
[CV]  c1=0.032561955525168405, c2=0.009783128512595655, score=0.798620 -   1.6s
[CV] c1=0.39442399577862297, c2=0.177009493884939 ....................
[CV]  c1=0.39442399577862297, c2=0.177009493884939, score=0.800565 -   1.6s
[CV] c1=0.848383285949541, c2=0.041168745819179876 ...................
[CV]  c1=0.848383285949541, c2=0.041168745819179876, score=0.669554 -   1.6s
[CV] c1=0.034988412498844164, c2=0.05944199165424198 .................
[CV]  c1=0.034988412498844164, c2=0.05944199165424198, score=0.873002 -   1.5s
[CV] c1=0.2582720122749537, c2=0.0034725469185403444 .................
[CV]  c1=0.2582720122749537, c2=0.0034725469185403444, score=0.732863 -   1.4s
[CV] c1=1.024969625099047, c2=0.14036124182614862 ....................
[CV]  c1=1.024969625099047, c2=0.14036124182614862, score=0.687226 -   1.6s
[CV] c1=0.4546764094216169, c2=0.13661163858316452 ...................
[CV]  c1=0.4546764094216169, c2=0.13661163858316452, score=0.749286 -   1.5s
[CV] c1=0.038069460276669125, c2=0.0674626772166068 ..................
[CV]  c1=0.038069460276669125, c2=0.0674626772166068, score=0.787590 -   1.7s
[CV] c1=2.92753932033941, c2=0.02550884948103734 .....................
[CV]  c1=2.92753932033941, c2=0.02550884948103734, score=0.455993 -   1.2s
[CV] c1=0.42827117257061215, c2=0.09438838705656444 ..................
[CV]  c1=0.42827117257061215, c2=0.09438838705656444, score=0.700180 -   1.3s
[CV] c1=3.0205761463522327, c2=0.09517687419192818 ...................
[CV]  c1=3.0205761463522327, c2=0.09517687419192818, score=0.690708 -   1.5s
[CV] c1=0.0278093432397807, c2=0.0031777519912424253 .................
[CV]  c1=0.0278093432397807, c2=0.0031777519912424253, score=0.858984 -   1.5s
[CV] c1=1.8063337009678546, c2=0.02424525760038676 ...................
[CV]  c1=1.8063337009678546, c2=0.02424525760038676, score=0.730954 -   1.5s
[CV] c1=0.1053625052804052, c2=0.19047780823075322 ...................
[CV]  c1=0.1053625052804052, c2=0.19047780823075322, score=0.860542 -   1.5s
[CV] c1=0.2613115012598768, c2=0.20290134611251012 ...................
[CV]  c1=0.2613115012598768, c2=0.20290134611251012, score=0.779699 -   1.6s
[CV] c1=0.037451883373225345, c2=0.03533887043806316 .................
[CV]  c1=0.037451883373225345, c2=0.03533887043806316, score=0.812234 -   1.5s
[CV] c1=0.09926412420443988, c2=0.034866939215029716 .................
[CV]  c1=0.09926412420443988, c2=0.034866939215029716, score=0.898988 -   1.5s
[CV] c1=0.40480369865625265, c2=0.0003310172877476489 ................
[CV]  c1=0.40480369865625265, c2=0.0003310172877476489, score=0.712691 -   1.2s
[CV] c1=0.12493816295107267, c2=0.04133511709896564 ..................
[CV]  c1=0.12493816295107267, c2=0.04133511709896564, score=0.891611 -   1.4s
[CV] c1=0.19248991303083052, c2=0.02170155814832994 ..................
[CV]  c1=0.19248991303083052, c2=0.02170155814832994, score=0.900088 -   1.5s
[CV] c1=0.09859662071483541, c2=0.06602871286914759 ..................
[CV]  c1=0.09859662071483541, c2=0.06602871286914759, score=0.889955 -   1.6s
[CV] c1=0.565764625151431, c2=0.029251843961962894 ...................
[CV]  c1=0.565764625151431, c2=0.029251843961962894, score=0.703267 -   1.2s
[CV] c1=0.24140394362450635, c2=0.010644816964704411 .................
[CV]  c1=0.24140394362450635, c2=0.010644816964704411, score=0.813673 -   1.6s
[CV] c1=1.4719277482789663, c2=0.017985576639400733 ..................
[CV]  c1=1.4719277482789663, c2=0.017985576639400733, score=0.833496 -   1.5s
[CV] c1=0.3717476844404332, c2=0.010150652017662356 ..................
[CV]  c1=0.3717476844404332, c2=0.010150652017662356, score=0.712867 -   1.3s
[CV] c1=0.3866721662199607, c2=0.1080422664602867 ....................
[CV]  c1=0.3866721662199607, c2=0.1080422664602867, score=0.896240 -   1.5s
[CV] c1=0.09373936091055729, c2=0.01090967424426503 ..................
[CV]  c1=0.09373936091055729, c2=0.01090967424426503, score=0.816264 -   1.6s
[CV] c1=0.10339467121368723, c2=0.057343942842703444 .................
[CV]  c1=0.10339467121368723, c2=0.057343942842703444, score=0.896221 -   1.6s
[CV] c1=0.09926412420443988, c2=0.034866939215029716 .................
[CV]  c1=0.09926412420443988, c2=0.034866939215029716, score=0.855817 -   1.5s
[CV] c1=0.40480369865625265, c2=0.0003310172877476489 ................
[CV]  c1=0.40480369865625265, c2=0.0003310172877476489, score=0.858674 -   1.5s
[CV] c1=0.2965393512474467, c2=0.044649966293600934 ..................
[CV]  c1=0.2965393512474467, c2=0.044649966293600934, score=0.911097 -   1.6s
[CV] c1=0.9817017682738022, c2=0.03542774521817681 ...................
[CV]  c1=0.9817017682738022, c2=0.03542774521817681, score=0.669039 -   1.3s
[CV] c1=0.09859662071483541, c2=0.06602871286914759 ..................
[CV]  c1=0.09859662071483541, c2=0.06602871286914759, score=0.796308 -   1.6s
[CV] c1=0.565764625151431, c2=0.029251843961962894 ...................
[CV]  c1=0.565764625151431, c2=0.029251843961962894, score=0.796386 -   1.6s
[CV] c1=2.9013558891840754, c2=0.007535775145729062 ..................
[CV]  c1=2.9013558891840754, c2=0.007535775145729062, score=0.486896 -   1.2s
[CV] c1=0.5682265767264254, c2=0.05475166101977291 ...................
[CV]  c1=0.5682265767264254, c2=0.05475166101977291, score=0.883194 -   1.5s
[CV] c1=1.316143029537972, c2=0.11214246015895896 ....................
[CV]  c1=1.316143029537972, c2=0.11214246015895896, score=0.559469 -   1.2s
[CV] c1=0.3866721662199607, c2=0.1080422664602867 ....................
[CV]  c1=0.3866721662199607, c2=0.1080422664602867, score=0.843945 -   1.4s
[CV] c1=0.09373936091055729, c2=0.01090967424426503 ..................
[CV]  c1=0.09373936091055729, c2=0.01090967424426503, score=0.726617 -   1.2s
[CV] c1=0.2369371539387539, c2=0.04402436080110807 ...................
[CV]  c1=0.2369371539387539, c2=0.04402436080110807, score=0.825629 -   1.6s
[CV] c1=0.2582720122749537, c2=0.0034725469185403444 .................
[CV]  c1=0.2582720122749537, c2=0.0034725469185403444, score=0.799299 -   1.7s
[CV] c1=0.45442905155043534, c2=0.04586181064073056 ..................
[CV]  c1=0.45442905155043534, c2=0.04586181064073056, score=0.855659 -   1.5s
[CV] c1=0.12493816295107267, c2=0.04133511709896564 ..................
[CV]  c1=0.12493816295107267, c2=0.04133511709896564, score=0.792724 -   1.6s
[CV] c1=0.7188668733691747, c2=0.02600348032358296 ...................
[CV]  c1=0.7188668733691747, c2=0.02600348032358296, score=0.803283 -   1.5s
[CV] c1=0.09859662071483541, c2=0.06602871286914759 ..................
[CV]  c1=0.09859662071483541, c2=0.06602871286914759, score=0.800679 -   1.6s
[CV] c1=0.565764625151431, c2=0.029251843961962894 ...................
[CV]  c1=0.565764625151431, c2=0.029251843961962894, score=0.884894 -   1.6s
[CV] c1=0.07000813545476688, c2=0.006526088821767511 .................
[CV]  c1=0.07000813545476688, c2=0.006526088821767511, score=0.898988 -   1.5s
[CV] c1=0.5682265767264254, c2=0.05475166101977291 ...................
[CV]  c1=0.5682265767264254, c2=0.05475166101977291, score=0.711107 -   1.3s
[CV] c1=0.3717476844404332, c2=0.010150652017662356 ..................
[CV]  c1=0.3717476844404332, c2=0.010150652017662356, score=0.898933 -   1.6s
[CV] c1=1.891649620170375, c2=0.052668576921686985 ...................
[CV]  c1=1.891649620170375, c2=0.052668576921686985, score=0.782121 -   1.5s
[CV] c1=0.10992363627124602, c2=0.0012899378406112337 ................
[CV]  c1=0.10992363627124602, c2=0.0012899378406112337, score=0.898988 -   1.5s
[CV] c1=1.4764869284210267, c2=0.020785198338808403 ..................
[CV]  c1=1.4764869284210267, c2=0.020785198338808403, score=0.850306 -   1.5s
[CV] c1=0.6282040392196055, c2=0.00955664250915244 ...................
[CV]  c1=0.6282040392196055, c2=0.00955664250915244, score=0.702894 -   1.3s
[CV] c1=0.40480369865625265, c2=0.0003310172877476489 ................
[CV]  c1=0.40480369865625265, c2=0.0003310172877476489, score=0.801589 -   1.5s
[CV] c1=0.3334255059207343, c2=0.007586695943964857 ..................
[CV]  c1=0.3334255059207343, c2=0.007586695943964857, score=0.859037 -   1.5s
[CV] c1=0.7188668733691747, c2=0.02600348032358296 ...................
[CV]  c1=0.7188668733691747, c2=0.02600348032358296, score=0.726763 -   1.6s
[CV] c1=0.37158555262838977, c2=0.049778958921125646 .................
[CV]  c1=0.37158555262838977, c2=0.049778958921125646, score=0.902900 -   1.0s
[CV] c1=0.006582369728043033, c2=0.06340012419800833 .................
[CV]  c1=0.006582369728043033, c2=0.06340012419800833, score=0.726899 -   1.3s
[CV] c1=0.45545924412559363, c2=0.09220614891046294 ..................
[CV]  c1=0.45545924412559363, c2=0.09220614891046294, score=0.708257 -   1.3s
[CV] c1=0.24140394362450635, c2=0.010644816964704411 .................
[CV]  c1=0.24140394362450635, c2=0.010644816964704411, score=0.905292 -   1.6s
[CV] c1=0.060707649040802295, c2=0.08793237666291742 .................
[CV]  c1=0.060707649040802295, c2=0.08793237666291742, score=0.845918 -   1.5s
[CV] c1=1.1844802209151635, c2=0.031077978151044183 ..................
[CV]  c1=1.1844802209151635, c2=0.031077978151044183, score=0.608972 -   1.8s
[CV] c1=1.891649620170375, c2=0.052668576921686985 ...................
[CV]  c1=1.891649620170375, c2=0.052668576921686985, score=0.604792 -   1.6s
[CV] c1=0.10992363627124602, c2=0.0012899378406112337 ................
[CV]  c1=0.10992363627124602, c2=0.0012899378406112337, score=0.839059 -   1.6s
[CV] c1=0.7585167308326348, c2=0.08133181438925106 ...................
[CV]  c1=0.7585167308326348, c2=0.08133181438925106, score=0.688086 -   1.2s
[CV] c1=0.09926412420443988, c2=0.034866939215029716 .................
[CV]  c1=0.09926412420443988, c2=0.034866939215029716, score=0.828456 -   1.6s
[CV] c1=1.699561782412639, c2=0.11221976716753815 ....................
[CV]  c1=1.699561782412639, c2=0.11221976716753815, score=0.733358 -   1.5s
[CV] c1=0.2965393512474467, c2=0.044649966293600934 ..................
[CV]  c1=0.2965393512474467, c2=0.044649966293600934, score=0.807601 -   1.6s
[CV] c1=0.8024428281528876, c2=0.03511310136563708 ...................
[CV]  c1=0.8024428281528876, c2=0.03511310136563708, score=0.696922 -   1.2s
[CV] c1=2.92753932033941, c2=0.02550884948103734 .....................
[CV]  c1=2.92753932033941, c2=0.02550884948103734, score=0.593975 -   1.4s
[CV] c1=0.565764625151431, c2=0.029251843961962894 ...................
[CV]  c1=0.565764625151431, c2=0.029251843961962894, score=0.745491 -   1.6s
[CV] c1=0.07000813545476688, c2=0.006526088821767511 .................
[CV]  c1=0.07000813545476688, c2=0.006526088821767511, score=0.857866 -   1.6s
[CV] c1=0.6766695488668438, c2=0.11403636662626507 ...................
[CV]  c1=0.6766695488668438, c2=0.11403636662626507, score=0.702903 -   1.2s
[CV] c1=0.3717476844404332, c2=0.010150652017662356 ..................
[CV]  c1=0.3717476844404332, c2=0.010150652017662356, score=0.839574 -   1.6s
[CV] c1=1.891649620170375, c2=0.052668576921686985 ...................
[CV]  c1=1.891649620170375, c2=0.052668576921686985, score=0.526103 -   1.2s
[CV] c1=0.24695917311396556, c2=0.10527302693014062 ..................
[CV]  c1=0.24695917311396556, c2=0.10527302693014062, score=0.906436 -   1.7s
[CV] c1=1.4764869284210267, c2=0.020785198338808403 ..................
[CV]  c1=1.4764869284210267, c2=0.020785198338808403, score=0.586388 -   1.2s
[CV] c1=1.0206693514699345, c2=0.01657236418442986 ...................
[CV]  c1=1.0206693514699345, c2=0.01657236418442986, score=0.695277 -   1.6s
[CV] c1=0.40480369865625265, c2=0.0003310172877476489 ................
[CV]  c1=0.40480369865625265, c2=0.0003310172877476489, score=0.903498 -   1.6s
[CV] c1=0.3334255059207343, c2=0.007586695943964857 ..................
[CV]  c1=0.3334255059207343, c2=0.007586695943964857, score=0.802138 -   1.6s
[CV] c1=0.9817017682738022, c2=0.03542774521817681 ...................
[CV]  c1=0.9817017682738022, c2=0.03542774521817681, score=0.848359 -   1.5s
[CV] c1=2.084440878742008, c2=0.18831620729393203 ....................
[CV]  c1=2.084440878742008, c2=0.18831620729393203, score=0.552985 -   1.6s
[CV] c1=0.42827117257061215, c2=0.09438838705656444 ..................
[CV]  c1=0.42827117257061215, c2=0.09438838705656444, score=0.814421 -   1.5s
[CV] c1=0.06164461193439699, c2=0.0021492996732518717 ................
[CV]  c1=0.06164461193439699, c2=0.0021492996732518717, score=0.727521 -   1.3s
[CV] c1=0.060707649040802295, c2=0.08793237666291742 .................
[CV]  c1=0.060707649040802295, c2=0.08793237666291742, score=0.729836 -   1.4s
[CV] c1=1.8063337009678546, c2=0.02424525760038676 ...................
[CV]  c1=1.8063337009678546, c2=0.02424525760038676, score=0.537945 -   1.2s
[CV] c1=0.39442399577862297, c2=0.177009493884939 ....................
[CV]  c1=0.39442399577862297, c2=0.177009493884939, score=0.838158 -   1.4s
[CV] c1=0.24438266724594152, c2=0.015475966245764064 .................
[CV]  c1=0.24438266724594152, c2=0.015475966245764064, score=0.724446 -   1.3s
[CV] c1=0.40052171222278155, c2=0.10797698580429138 ..................
[CV]  c1=0.40052171222278155, c2=0.10797698580429138, score=0.896240 -   1.4s
[CV] c1=0.2753875423532825, c2=0.10837981436351302 ...................
[CV]  c1=0.2753875423532825, c2=0.10837981436351302, score=0.898239 -   1.6s
[CV] c1=1.078148808832389, c2=0.06409887654887941 ....................
[CV]  c1=1.078148808832389, c2=0.06409887654887941, score=0.673090 -   1.2s
[CV] c1=1.699561782412639, c2=0.11221976716753815 ....................
[CV]  c1=1.699561782412639, c2=0.11221976716753815, score=0.564321 -   1.5s
[CV] c1=0.3347963326373083, c2=0.013997221919379464 ..................
[CV]  c1=0.3347963326373083, c2=0.013997221919379464, score=0.706543 -   1.2s
[CV] c1=0.7188668733691747, c2=0.02600348032358296 ...................
[CV]  c1=0.7188668733691747, c2=0.02600348032358296, score=0.790805 -   1.5s
[CV] c1=1.1519948628211174, c2=0.024740408392597786 ..................
[CV]  c1=1.1519948628211174, c2=0.024740408392597786, score=0.612017 -   1.6s
[CV] c1=0.45545924412559363, c2=0.09220614891046294 ..................
[CV]  c1=0.45545924412559363, c2=0.09220614891046294, score=0.817941 -   1.6s
[CV] c1=0.07000813545476688, c2=0.006526088821767511 .................
[CV]  c1=0.07000813545476688, c2=0.006526088821767511, score=0.832458 -   1.5s
[CV] c1=0.5682265767264254, c2=0.05475166101977291 ...................
[CV]  c1=0.5682265767264254, c2=0.05475166101977291, score=0.823390 -   1.5s
[CV] c1=1.316143029537972, c2=0.11214246015895896 ....................
[CV]  c1=1.316143029537972, c2=0.11214246015895896, score=0.631586 -   1.5s
[CV] c1=1.891649620170375, c2=0.052668576921686985 ...................
[CV]  c1=1.891649620170375, c2=0.052668576921686985, score=0.697919 -   1.5s
[CV] c1=0.10992363627124602, c2=0.0012899378406112337 ................
[CV]  c1=0.10992363627124602, c2=0.0012899378406112337, score=0.867854 -   1.5s
[CV] c1=1.4764869284210267, c2=0.020785198338808403 ..................
[CV]  c1=1.4764869284210267, c2=0.020785198338808403, score=0.777365 -   1.4s
[CV] c1=0.6282040392196055, c2=0.00955664250915244 ...................
[CV]  c1=0.6282040392196055, c2=0.00955664250915244, score=0.735291 -   1.6s
[CV] c1=0.16720224356288396, c2=0.022003658714260493 .................
[CV]  c1=0.16720224356288396, c2=0.022003658714260493, score=0.727506 -   1.2s
[CV] c1=0.3334255059207343, c2=0.007586695943964857 ..................
[CV]  c1=0.3334255059207343, c2=0.007586695943964857, score=0.843159 -   1.6s
[CV] c1=0.9817017682738022, c2=0.03542774521817681 ...................
[CV]  c1=0.9817017682738022, c2=0.03542774521817681, score=0.787741 -   1.4s
[CV] c1=1.1519948628211174, c2=0.024740408392597786 ..................
[CV]  c1=1.1519948628211174, c2=0.024740408392597786, score=0.642994 -   1.6s
[CV] c1=0.45545924412559363, c2=0.09220614891046294 ..................
[CV]  c1=0.45545924412559363, c2=0.09220614891046294, score=0.898802 -   1.5s
[CV] c1=0.06164461193439699, c2=0.0021492996732518717 ................
[CV]  c1=0.06164461193439699, c2=0.0021492996732518717, score=0.813673 -   1.5s
[CV] c1=1.4719277482789663, c2=0.017985576639400733 ..................
[CV]  c1=1.4719277482789663, c2=0.017985576639400733, score=0.567810 -   1.6s
[CV] c1=1.316143029537972, c2=0.11214246015895896 ....................
[CV]  c1=1.316143029537972, c2=0.11214246015895896, score=0.787570 -   1.5s
[CV] c1=1.891649620170375, c2=0.052668576921686985 ...................
[CV]  c1=1.891649620170375, c2=0.052668576921686985, score=0.553606 -   1.6s
[CV] c1=0.20298427113465956, c2=0.03769218930386749 ..................
[CV]  c1=0.20298427113465956, c2=0.03769218930386749, score=0.901125 -   1.6s
[CV] c1=0.7585167308326348, c2=0.08133181438925106 ...................
[CV]  c1=0.7585167308326348, c2=0.08133181438925106, score=0.697448 -   1.5s
[CV] c1=0.540202249210225, c2=0.009187336771688375 ...................
[CV]  c1=0.540202249210225, c2=0.009187336771688375, score=0.853466 -   1.5s
[CV] c1=0.16720224356288396, c2=0.022003658714260493 .................
[CV]  c1=0.16720224356288396, c2=0.022003658714260493, score=0.871290 -   1.5s
[CV] c1=0.005877614557994313, c2=0.01417358111644569 .................
[CV]  c1=0.005877614557994313, c2=0.01417358111644569, score=0.859209 -   1.5s
[CV] c1=0.24590086157492383, c2=0.08476076448055005 ..................
[CV]  c1=0.24590086157492383, c2=0.08476076448055005, score=0.705157 -   1.1s
[CV] c1=0.6833805256032035, c2=0.16510893264198923 ...................
[CV]  c1=0.6833805256032035, c2=0.16510893264198923, score=0.707339 -   1.5s
[CV] c1=0.6866061672338543, c2=0.04059277035362375 ...................
[CV]  c1=0.6866061672338543, c2=0.04059277035362375, score=0.697482 -   1.2s
[CV] c1=0.5673759146103632, c2=0.05059681500825054 ...................
[CV]  c1=0.5673759146103632, c2=0.05059681500825054, score=0.884894 -   1.6s
[CV] c1=0.30850472299834053, c2=0.0196750664541839 ...................
[CV]  c1=0.30850472299834053, c2=0.0196750664541839, score=0.727640 -   1.3s
[CV] c1=0.6766695488668438, c2=0.11403636662626507 ...................
[CV]  c1=0.6766695488668438, c2=0.11403636662626507, score=0.714867 -   1.6s
[CV] c1=1.5623711516435121, c2=0.08554486732684535 ...................
[CV]  c1=1.5623711516435121, c2=0.08554486732684535, score=0.570340 -   1.7s
[CV] c1=0.8170722415835514, c2=0.018660093163772182 ..................
[CV]  c1=0.8170722415835514, c2=0.018660093163772182, score=0.704724 -   1.2s
[CV] c1=0.20298427113465956, c2=0.03769218930386749 ..................
[CV]  c1=0.20298427113465956, c2=0.03769218930386749, score=0.809990 -   1.5s
[CV] c1=0.7585167308326348, c2=0.08133181438925106 ...................
[CV]  c1=0.7585167308326348, c2=0.08133181438925106, score=0.805255 -   1.5s
[CV] c1=0.540202249210225, c2=0.009187336771688375 ...................
[CV]  c1=0.540202249210225, c2=0.009187336771688375, score=0.784754 -   1.6s
[CV] c1=0.3466040091824847, c2=0.0419515523567266 ....................
[CV]  c1=0.3466040091824847, c2=0.0419515523567266, score=0.896472 -   1.5s
[CV] c1=0.005877614557994313, c2=0.01417358111644569 .................
[CV]  c1=0.005877614557994313, c2=0.01417358111644569, score=0.749226 -   1.2s
[CV] c1=0.9817017682738022, c2=0.03542774521817681 ...................
[CV]  c1=0.9817017682738022, c2=0.03542774521817681, score=0.692221 -   1.4s
[CV] c1=2.084440878742008, c2=0.18831620729393203 ....................
[CV]  c1=2.084440878742008, c2=0.18831620729393203, score=0.698021 -   1.4s
[CV] c1=0.5983915085619566, c2=0.032814751621498134 ..................
[CV]  c1=0.5983915085619566, c2=0.032814751621498134, score=0.812805 -   1.5s
[CV] c1=3.0205761463522327, c2=0.09517687419192818 ...................
[CV]  c1=3.0205761463522327, c2=0.09517687419192818, score=0.593975 -   1.4s
[CV] c1=0.0278093432397807, c2=0.0031777519912424253 .................
[CV]  c1=0.0278093432397807, c2=0.0031777519912424253, score=0.872883 -   1.6s
[CV] c1=1.8063337009678546, c2=0.02424525760038676 ...................
[CV]  c1=1.8063337009678546, c2=0.02424525760038676, score=0.561791 -   1.6s
[CV] c1=0.3866721662199607, c2=0.1080422664602867 ....................
[CV]  c1=0.3866721662199607, c2=0.1080422664602867, score=0.776928 -   1.5s
[CV] c1=0.09373936091055729, c2=0.01090967424426503 ..................
[CV]  c1=0.09373936091055729, c2=0.01090967424426503, score=0.858212 -   1.6s
[CV] c1=0.10339467121368723, c2=0.057343942842703444 .................
[CV]  c1=0.10339467121368723, c2=0.057343942842703444, score=0.806751 -   1.6s
[CV] c1=0.6282040392196055, c2=0.00955664250915244 ...................
[CV]  c1=0.6282040392196055, c2=0.00955664250915244, score=0.889975 -   1.5s
[CV] c1=1.699561782412639, c2=0.11221976716753815 ....................
[CV]  c1=1.699561782412639, c2=0.11221976716753815, score=0.623325 -   1.6s
[CV] c1=0.2965393512474467, c2=0.044649966293600934 ..................
[CV]  c1=0.2965393512474467, c2=0.044649966293600934, score=0.848443 -   1.5s
[CV] c1=0.8024428281528876, c2=0.03511310136563708 ...................
[CV]  c1=0.8024428281528876, c2=0.03511310136563708, score=0.867430 -   1.4s
[CV] c1=0.6457747861576254, c2=0.004982665552446391 ..................
[CV]  c1=0.6457747861576254, c2=0.004982665552446391, score=0.702894 -   1.0s
[CV] c1=0.30646757751651144, c2=0.05318652805047707 ..................
[CV]  c1=0.30646757751651144, c2=0.05318652805047707, score=0.807601 -   1.6s
[CV] c1=0.5673759146103632, c2=0.05059681500825054 ...................
[CV]  c1=0.5673759146103632, c2=0.05059681500825054, score=0.819095 -   1.5s
[CV] c1=0.30850472299834053, c2=0.0196750664541839 ...................
[CV]  c1=0.30850472299834053, c2=0.0196750664541839, score=0.859037 -   1.5s
[CV] c1=0.032561955525168405, c2=0.009783128512595655 ................
[CV]  c1=0.032561955525168405, c2=0.009783128512595655, score=0.862067 -   1.5s
[CV] c1=0.821458756381012, c2=0.04887239171302178 ....................
[CV]  c1=0.821458756381012, c2=0.04887239171302178, score=0.697326 -   1.6s
[CV] c1=0.24438266724594152, c2=0.015475966245764064 .................
[CV]  c1=0.24438266724594152, c2=0.015475966245764064, score=0.905292 -   1.6s
[CV] c1=0.3824609866362675, c2=0.058807026451179335 ..................
[CV]  c1=0.3824609866362675, c2=0.058807026451179335, score=0.727455 -   1.2s
[CV] c1=0.2753875423532825, c2=0.10837981436351302 ...................
[CV]  c1=0.2753875423532825, c2=0.10837981436351302, score=0.698332 -   1.2s
[CV] c1=0.540202249210225, c2=0.009187336771688375 ...................
[CV]  c1=0.540202249210225, c2=0.009187336771688375, score=0.898802 -   1.5s
[CV] c1=0.16720224356288396, c2=0.022003658714260493 .................
[CV]  c1=0.16720224356288396, c2=0.022003658714260493, score=0.903226 -   1.6s
[CV] c1=0.3347963326373083, c2=0.013997221919379464 ..................
[CV]  c1=0.3347963326373083, c2=0.013997221919379464, score=0.803666 -   1.5s
[CV] c1=0.8024428281528876, c2=0.03511310136563708 ...................
[CV]  c1=0.8024428281528876, c2=0.03511310136563708, score=0.800605 -   1.3s
[CV] c1=2.084440878742008, c2=0.18831620729393203 ....................
[CV]  c1=2.084440878742008, c2=0.18831620729393203, score=0.508962 -   1.2s
[CV] c1=0.6866061672338543, c2=0.04059277035362375 ...................
[CV]  c1=0.6866061672338543, c2=0.04059277035362375, score=0.807941 -   1.4s
[CV] c1=1.1199348990816065, c2=0.0055147973536028025 .................
[CV]  c1=1.1199348990816065, c2=0.0055147973536028025, score=0.812199 -   1.5s
[CV] c1=0.06529020854048764, c2=0.02878282061663224 ..................
[CV]  c1=0.06529020854048764, c2=0.02878282061663224, score=0.802058 -   1.6s
[CV] c1=0.273172556588676, c2=0.11059477295058849 ....................
[CV]  c1=0.273172556588676, c2=0.11059477295058849, score=0.893910 -   1.7s
[CV] c1=0.1053625052804052, c2=0.19047780823075322 ...................
[CV]  c1=0.1053625052804052, c2=0.19047780823075322, score=0.739302 -   1.2s
[CV] c1=0.24438266724594152, c2=0.015475966245764064 .................
[CV]  c1=0.24438266724594152, c2=0.015475966245764064, score=0.861990 -   1.5s
[CV] c1=0.3824609866362675, c2=0.058807026451179335 ..................
[CV]  c1=0.3824609866362675, c2=0.058807026451179335, score=0.868329 -   1.3s
[CV] c1=0.2753875423532825, c2=0.10837981436351302 ...................
[CV]  c1=0.2753875423532825, c2=0.10837981436351302, score=0.822491 -   1.6s
[CV] c1=0.19288361816106167, c2=0.0010969062542901164 ................
[CV]  c1=0.19288361816106167, c2=0.0010969062542901164, score=0.720421 -   1.2s
[CV] c1=0.3466040091824847, c2=0.0419515523567266 ....................
[CV]  c1=0.3466040091824847, c2=0.0419515523567266, score=0.728728 -   1.3s
[CV] c1=0.3347963326373083, c2=0.013997221919379464 ..................
[CV]  c1=0.3347963326373083, c2=0.013997221919379464, score=0.911695 -   1.5s
[CV] c1=0.8024428281528876, c2=0.03511310136563708 ...................
[CV]  c1=0.8024428281528876, c2=0.03511310136563708, score=0.674548 -   1.3s
[CV] c1=1.1519948628211174, c2=0.024740408392597786 ..................
[CV]  c1=1.1519948628211174, c2=0.024740408392597786, score=0.854004 -   1.6s
[CV] c1=0.42827117257061215, c2=0.09438838705656444 ..................
[CV]  c1=0.42827117257061215, c2=0.09438838705656444, score=0.853849 -   1.5s
[CV] c1=0.24140394362450635, c2=0.010644816964704411 .................
[CV]  c1=0.24140394362450635, c2=0.010644816964704411, score=0.816065 -   1.6s
[CV] c1=1.4719277482789663, c2=0.017985576639400733 ..................
[CV]  c1=1.4719277482789663, c2=0.017985576639400733, score=0.787579 -   1.5s
[CV] c1=0.3717476844404332, c2=0.010150652017662356 ..................
[CV]  c1=0.3717476844404332, c2=0.010150652017662356, score=0.859037 -   1.4s
[CV] c1=1.257913501066348, c2=0.13891550129558303 ....................
[CV]  c1=1.257913501066348, c2=0.13891550129558303, score=0.559987 -   1.2s
[CV] c1=0.2613115012598768, c2=0.20290134611251012 ...................
[CV]  c1=0.2613115012598768, c2=0.20290134611251012, score=0.848062 -   1.5s
[CV] c1=0.034988412498844164, c2=0.05944199165424198 .................
[CV]  c1=0.034988412498844164, c2=0.05944199165424198, score=0.791174 -   1.5s
[CV] c1=1.0206693514699345, c2=0.01657236418442986 ...................
[CV]  c1=1.0206693514699345, c2=0.01657236418442986, score=0.678898 -   1.2s
[CV] c1=1.024969625099047, c2=0.14036124182614862 ....................
[CV]  c1=1.024969625099047, c2=0.14036124182614862, score=0.581229 -   1.2s
[CV] c1=0.3466040091824847, c2=0.0419515523567266 ....................
[CV]  c1=0.3466040091824847, c2=0.0419515523567266, score=0.868329 -   1.4s
[CV] c1=0.005877614557994313, c2=0.01417358111644569 .................
[CV]  c1=0.005877614557994313, c2=0.01417358111644569, score=0.826436 -   1.6s
[CV] c1=0.3652904938554671, c2=0.02541975939830154 ...................
[CV]  c1=0.3652904938554671, c2=0.02541975939830154, score=0.722283 -   1.1s
[CV] c1=1.1519948628211174, c2=0.024740408392597786 ..................
[CV]  c1=1.1519948628211174, c2=0.024740408392597786, score=0.678898 -   1.1s
[CV] c1=1.0045122338806687, c2=0.03858188925199153 ...................
[CV]  c1=1.0045122338806687, c2=0.03858188925199153, score=0.814374 -   1.5s
[CV] c1=0.15580711422814317, c2=0.03178009468378831 ..................
[CV]  c1=0.15580711422814317, c2=0.03178009468378831, score=0.825629 -   1.6s
[CV] c1=0.0278093432397807, c2=0.0031777519912424253 .................
[CV]  c1=0.0278093432397807, c2=0.0031777519912424253, score=0.814709 -   1.6s
[CV] c1=1.1844802209151635, c2=0.031077978151044183 ..................
[CV]  c1=1.1844802209151635, c2=0.031077978151044183, score=0.852085 -   1.5s
[CV] c1=0.3866721662199607, c2=0.1080422664602867 ....................
[CV]  c1=0.3866721662199607, c2=0.1080422664602867, score=0.713927 -   1.2s
[CV] c1=0.848383285949541, c2=0.041168745819179876 ...................
[CV]  c1=0.848383285949541, c2=0.041168745819179876, score=0.800605 -   1.5s
[CV] c1=0.2369371539387539, c2=0.04402436080110807 ...................
[CV]  c1=0.2369371539387539, c2=0.04402436080110807, score=0.809990 -   1.6s
[CV] c1=0.2582720122749537, c2=0.0034725469185403444 .................
[CV]  c1=0.2582720122749537, c2=0.0034725469185403444, score=0.909195 -   1.5s
[CV] c1=2.630071680070872, c2=0.08214724112771266 ....................
[CV]  c1=2.630071680070872, c2=0.08214724112771266, score=0.493570 -   1.2s
[CV] c1=0.43200616537827274, c2=0.10815324678972019 ..................
[CV]  c1=0.43200616537827274, c2=0.10815324678972019, score=0.814873 -   1.5s
[CV] c1=1.3218344182286619, c2=0.010732118225266311 ..................
[CV]  c1=1.3218344182286619, c2=0.010732118225266311, score=0.624222 -   1.2s
[CV] c1=0.24590086157492383, c2=0.08476076448055005 ..................
[CV]  c1=0.24590086157492383, c2=0.08476076448055005, score=0.825629 -   1.2s
[CV] c1=2.92753932033941, c2=0.02550884948103734 .....................
[CV]  c1=2.92753932033941, c2=0.02550884948103734, score=0.579471 -   1.5s
[CV] c1=0.565764625151431, c2=0.029251843961962894 ...................
[CV]  c1=0.565764625151431, c2=0.029251843961962894, score=0.836589 -   1.5s
[CV] c1=0.07000813545476688, c2=0.006526088821767511 .................
[CV]  c1=0.07000813545476688, c2=0.006526088821767511, score=0.852991 -   1.5s
[CV] c1=0.5682265767264254, c2=0.05475166101977291 ...................
[CV]  c1=0.5682265767264254, c2=0.05475166101977291, score=0.725277 -   1.6s
[CV] c1=1.316143029537972, c2=0.11214246015895896 ....................
[CV]  c1=1.316143029537972, c2=0.11214246015895896, score=0.570340 -   1.6s
[CV] c1=0.06127514724231947, c2=0.051930475323638786 .................
[CV]  c1=0.06127514724231947, c2=0.051930475323638786, score=0.718033 -   1.2s
[CV] c1=0.24695917311396556, c2=0.10527302693014062 ..................
[CV]  c1=0.24695917311396556, c2=0.10527302693014062, score=0.825629 -   1.6s
[CV] c1=1.4764869284210267, c2=0.020785198338808403 ..................
[CV]  c1=1.4764869284210267, c2=0.020785198338808403, score=0.616559 -   1.5s
[CV] c1=0.6282040392196055, c2=0.00955664250915244 ...................
[CV]  c1=0.6282040392196055, c2=0.00955664250915244, score=0.790805 -   1.6s
[CV] c1=0.16720224356288396, c2=0.022003658714260493 .................
[CV]  c1=0.16720224356288396, c2=0.022003658714260493, score=0.813673 -   1.5s
[CV] c1=0.3347963326373083, c2=0.013997221919379464 ..................
[CV]  c1=0.3347963326373083, c2=0.013997221919379464, score=0.863332 -   1.5s
[CV] c1=0.24590086157492383, c2=0.08476076448055005 ..................
[CV]  c1=0.24590086157492383, c2=0.08476076448055005, score=0.904668 -   1.3s
[CV] c1=0.37158555262838977, c2=0.049778958921125646 .................
[CV]  c1=0.37158555262838977, c2=0.049778958921125646, score=0.793503 -   1.3s
[CV] c1=0.30646757751651144, c2=0.05318652805047707 ..................
[CV]  c1=0.30646757751651144, c2=0.05318652805047707, score=0.731448 -   1.2s
[CV] c1=0.20836829448692157, c2=0.19261704479634625 ..................
[CV]  c1=0.20836829448692157, c2=0.19261704479634625, score=0.694647 -   1.3s
[CV] c1=0.06164461193439699, c2=0.0021492996732518717 ................
[CV]  c1=0.06164461193439699, c2=0.0021492996732518717, score=0.846650 -   1.6s
[CV] c1=0.5682265767264254, c2=0.05475166101977291 ...................
[CV]  c1=0.5682265767264254, c2=0.05475166101977291, score=0.796386 -   1.6s
[CV] c1=1.5623711516435121, c2=0.08554486732684535 ...................
[CV]  c1=1.5623711516435121, c2=0.08554486732684535, score=0.615263 -   1.7s
[CV] c1=0.06127514724231947, c2=0.051930475323638786 .................
[CV]  c1=0.06127514724231947, c2=0.051930475323638786, score=0.792471 -   1.6s
[CV] c1=0.40052171222278155, c2=0.10797698580429138 ..................
[CV]  c1=0.40052171222278155, c2=0.10797698580429138, score=0.776928 -   1.7s
[CV] c1=0.5163091388673626, c2=0.06282009921104066 ...................
[CV]  c1=0.5163091388673626, c2=0.06282009921104066, score=0.707141 -   1.3s
[CV] c1=1.078148808832389, c2=0.06409887654887941 ....................
[CV]  c1=1.078148808832389, c2=0.06409887654887941, score=0.649835 -   1.6s
[CV] c1=0.43200616537827274, c2=0.10815324678972019 ..................
[CV]  c1=0.43200616537827274, c2=0.10815324678972019, score=0.896240 -   1.6s
[CV] c1=0.05144314523372485, c2=0.011439423612117083 .................
[CV]  c1=0.05144314523372485, c2=0.011439423612117083, score=0.873245 -   1.5s
[CV] c1=0.3652904938554671, c2=0.02541975939830154 ...................
[CV]  c1=0.3652904938554671, c2=0.02541975939830154, score=0.859037 -   1.1s
[CV] c1=0.6833805256032035, c2=0.16510893264198923 ...................
[CV]  c1=0.6833805256032035, c2=0.16510893264198923, score=0.796987 -   1.1s
[CV] c1=0.006582369728043033, c2=0.06340012419800833 .................
[CV]  c1=0.006582369728043033, c2=0.06340012419800833, score=0.778916 -   1.5s
[CV] c1=0.5673759146103632, c2=0.05059681500825054 ...................
[CV]  c1=0.5673759146103632, c2=0.05059681500825054, score=0.703100 -   1.2s
[CV] c1=2.9013558891840754, c2=0.007535775145729062 ..................
[CV]  c1=2.9013558891840754, c2=0.007535775145729062, score=0.688146 -   1.5s
[CV] c1=0.6766695488668438, c2=0.11403636662626507 ...................
[CV]  c1=0.6766695488668438, c2=0.11403636662626507, score=0.872530 -   1.6s
[CV] c1=1.5623711516435121, c2=0.08554486732684535 ...................
[CV]  c1=1.5623711516435121, c2=0.08554486732684535, score=0.781900 -   1.5s
[CV] c1=0.06127514724231947, c2=0.051930475323638786 .................
[CV]  c1=0.06127514724231947, c2=0.051930475323638786, score=0.850857 -   1.5s
[CV] c1=0.20298427113465956, c2=0.03769218930386749 ..................
[CV]  c1=0.20298427113465956, c2=0.03769218930386749, score=0.871290 -   1.5s
[CV] c1=0.7585167308326348, c2=0.08133181438925106 ...................
[CV]  c1=0.7585167308326348, c2=0.08133181438925106, score=0.770915 -   1.6s
[CV] c1=1.078148808832389, c2=0.06409887654887941 ....................
[CV]  c1=1.078148808832389, c2=0.06409887654887941, score=0.856123 -   1.5s
[CV] c1=0.3466040091824847, c2=0.0419515523567266 ....................
[CV]  c1=0.3466040091824847, c2=0.0419515523567266, score=0.795877 -   1.6s
[CV] c1=0.05144314523372485, c2=0.011439423612117083 .................
[CV]  c1=0.05144314523372485, c2=0.011439423612117083, score=0.750736 -   1.2s
[CV] c1=0.8024428281528876, c2=0.03511310136563708 ...................
[CV]  c1=0.8024428281528876, c2=0.03511310136563708, score=0.776560 -   1.4s
[CV] c1=2.084440878742008, c2=0.18831620729393203 ....................
[CV]  c1=2.084440878742008, c2=0.18831620729393203, score=0.618502 -   1.6s
[CV] c1=0.42827117257061215, c2=0.09438838705656444 ..................
[CV]  c1=0.42827117257061215, c2=0.09438838705656444, score=0.887700 -   1.6s
[CV] c1=0.24140394362450635, c2=0.010644816964704411 .................
[CV]  c1=0.24140394362450635, c2=0.010644816964704411, score=0.740996 -   1.2s
[CV] c1=0.9735107046910693, c2=0.0311301825839672 ....................
[CV]  c1=0.9735107046910693, c2=0.0311301825839672, score=0.695277 -   1.5s
[CV] c1=0.273172556588676, c2=0.11059477295058849 ....................
[CV]  c1=0.273172556588676, c2=0.11059477295058849, score=0.825629 -   1.6s
[CV] c1=0.1053625052804052, c2=0.19047780823075322 ...................
[CV]  c1=0.1053625052804052, c2=0.19047780823075322, score=0.798375 -   1.6s
[CV] c1=0.09373936091055729, c2=0.01090967424426503 ..................
[CV]  c1=0.09373936091055729, c2=0.01090967424426503, score=0.905292 -   1.5s
[CV] c1=0.037451883373225345, c2=0.03533887043806316 .................
[CV]  c1=0.037451883373225345, c2=0.03533887043806316, score=0.740874 -   1.2s
[CV] c1=0.5501674156749121, c2=0.05673256785894603 ...................
[CV]  c1=0.5501674156749121, c2=0.05673256785894603, score=0.707141 -   1.3s
[CV] c1=0.19288361816106167, c2=0.0010969062542901164 ................
[CV]  c1=0.19288361816106167, c2=0.0010969062542901164, score=0.900088 -   1.5s
[CV] c1=0.43200616537827274, c2=0.10815324678972019 ..................
[CV]  c1=0.43200616537827274, c2=0.10815324678972019, score=0.687150 -   1.2s
[CV] c1=0.3347963326373083, c2=0.013997221919379464 ..................
[CV]  c1=0.3347963326373083, c2=0.013997221919379464, score=0.839574 -   1.6s
[CV] c1=0.24590086157492383, c2=0.08476076448055005 ..................
[CV]  c1=0.24590086157492383, c2=0.08476076448055005, score=0.799749 -   1.3s
[CV] c1=0.6457747861576254, c2=0.004982665552446391 ..................
[CV]  c1=0.6457747861576254, c2=0.004982665552446391, score=0.870301 -   1.4s
[CV] c1=1.0045122338806687, c2=0.03858188925199153 ...................
[CV]  c1=1.0045122338806687, c2=0.03858188925199153, score=0.676492 -   1.2s
[CV] c1=0.5673759146103632, c2=0.05059681500825054 ...................
[CV]  c1=0.5673759146103632, c2=0.05059681500825054, score=0.796386 -   1.7s
[CV] c1=0.06529020854048764, c2=0.02878282061663224 ..................
[CV]  c1=0.06529020854048764, c2=0.02878282061663224, score=0.798620 -   1.7s
[CV] c1=0.273172556588676, c2=0.11059477295058849 ....................
[CV]  c1=0.273172556588676, c2=0.11059477295058849, score=0.856428 -   1.5s
[CV] c1=0.03721895155022407, c2=0.0010022413948214937 ................
[CV]  c1=0.03721895155022407, c2=0.0010022413948214937, score=0.817050 -   1.6s
[CV] c1=0.2613115012598768, c2=0.20290134611251012 ...................
[CV]  c1=0.2613115012598768, c2=0.20290134611251012, score=0.695499 -   1.3s
[CV] c1=0.3824609866362675, c2=0.058807026451179335 ..................
[CV]  c1=0.3824609866362675, c2=0.058807026451179335, score=0.807507 -   1.6s
[CV] c1=0.5501674156749121, c2=0.05673256785894603 ...................
[CV]  c1=0.5501674156749121, c2=0.05673256785894603, score=0.725277 -   1.6s
[CV] c1=2.630071680070872, c2=0.08214724112771266 ....................
[CV]  c1=2.630071680070872, c2=0.08214724112771266, score=0.690708 -   1.5s
[CV] c1=0.4546764094216169, c2=0.13661163858316452 ...................
[CV]  c1=0.4546764094216169, c2=0.13661163858316452, score=0.692234 -   1.2s
[CV] c1=1.3218344182286619, c2=0.010732118225266311 ..................
[CV]  c1=1.3218344182286619, c2=0.010732118225266311, score=0.850234 -   1.5s
[CV] c1=0.02818329146390219, c2=0.008437949069985018 .................
[CV]  c1=0.02818329146390219, c2=0.008437949069985018, score=0.747761 -   1.0s
[CV] c1=0.09859662071483541, c2=0.06602871286914759 ..................
[CV]  c1=0.09859662071483541, c2=0.06602871286914759, score=0.852133 -   1.5s
[CV] c1=0.45545924412559363, c2=0.09220614891046294 ..................
[CV]  c1=0.45545924412559363, c2=0.09220614891046294, score=0.834720 -   1.5s
[CV] c1=0.06164461193439699, c2=0.0021492996732518717 ................
[CV]  c1=0.06164461193439699, c2=0.0021492996732518717, score=0.864431 -   1.4s
[CV] c1=1.4719277482789663, c2=0.017985576639400733 ..................
[CV]  c1=1.4719277482789663, c2=0.017985576639400733, score=0.614454 -   1.6s
[CV] c1=1.316143029537972, c2=0.11214246015895896 ....................
[CV]  c1=1.316143029537972, c2=0.11214246015895896, score=0.854785 -   1.5s
[CV] c1=1.257913501066348, c2=0.13891550129558303 ....................
[CV]  c1=1.257913501066348, c2=0.13891550129558303, score=0.575092 -   1.5s
[CV] c1=0.10992363627124602, c2=0.0012899378406112337 ................
[CV]  c1=0.10992363627124602, c2=0.0012899378406112337, score=0.805821 -   1.6s
[CV] c1=1.4764869284210267, c2=0.020785198338808403 ..................
[CV]  c1=1.4764869284210267, c2=0.020785198338808403, score=0.570340 -   1.6s
[CV] c1=0.540202249210225, c2=0.009187336771688375 ...................
[CV]  c1=0.540202249210225, c2=0.009187336771688375, score=0.826736 -   1.6s
[CV] c1=0.16720224356288396, c2=0.022003658714260493 .................
[CV]  c1=0.16720224356288396, c2=0.022003658714260493, score=0.819444 -   1.6s
[CV] c1=0.005877614557994313, c2=0.01417358111644569 .................
[CV]  c1=0.005877614557994313, c2=0.01417358111644569, score=0.851738 -   1.4s
[CV] c1=0.24590086157492383, c2=0.08476076448055005 ..................
[CV]  c1=0.24590086157492383, c2=0.08476076448055005, score=0.871290 -   1.4s
[CV] c1=0.37158555262838977, c2=0.049778958921125646 .................
[CV]  c1=0.37158555262838977, c2=0.049778958921125646, score=0.816874 -   1.3s
[CV] c1=0.30646757751651144, c2=0.05318652805047707 ..................
[CV]  c1=0.30646757751651144, c2=0.05318652805047707, score=0.902900 -   1.7s
[CV] c1=1.1199348990816065, c2=0.0055147973536028025 .................
[CV]  c1=1.1199348990816065, c2=0.0055147973536028025, score=0.854723 -   1.6s
[CV] c1=0.06529020854048764, c2=0.02878282061663224 ..................
[CV]  c1=0.06529020854048764, c2=0.02878282061663224, score=0.734022 -   1.3s
[CV] c1=0.032561955525168405, c2=0.009783128512595655 ................
[CV]  c1=0.032561955525168405, c2=0.009783128512595655, score=0.891242 -   1.6s
[CV] c1=0.821458756381012, c2=0.04887239171302178 ....................
[CV]  c1=0.821458756381012, c2=0.04887239171302178, score=0.800605 -   1.5s
[CV] c1=0.8170722415835514, c2=0.018660093163772182 ..................
[CV]  c1=0.8170722415835514, c2=0.018660093163772182, score=0.810471 -   1.5s
[CV] c1=0.40052171222278155, c2=0.10797698580429138 ..................
[CV]  c1=0.40052171222278155, c2=0.10797698580429138, score=0.817490 -   1.6s
[CV] c1=0.5163091388673626, c2=0.06282009921104066 ...................
[CV]  c1=0.5163091388673626, c2=0.06282009921104066, score=0.833256 -   1.5s
[CV] c1=0.19288361816106167, c2=0.0010969062542901164 ................
[CV]  c1=0.19288361816106167, c2=0.0010969062542901164, score=0.805821 -   1.6s
[CV] c1=0.3751550609775256, c2=0.028057866626421585 ..................
[CV]  c1=0.3751550609775256, c2=0.028057866626421585, score=0.724810 -   1.2s
[CV] c1=0.005877614557994313, c2=0.01417358111644569 .................
[CV]  c1=0.005877614557994313, c2=0.01417358111644569, score=0.791174 -   1.6s
[CV] c1=0.3652904938554671, c2=0.02541975939830154 ...................
[CV]  c1=0.3652904938554671, c2=0.02541975939830154, score=0.809990 -   1.1s
[CV] c1=0.3008332171519279, c2=0.0004723211434178455 .................
[CV]  c1=0.3008332171519279, c2=0.0004723211434178455, score=0.721719 -   1.2s
[CV] c1=0.30646757751651144, c2=0.05318652805047707 ..................
[CV]  c1=0.30646757751651144, c2=0.05318652805047707, score=0.868329 -   1.4s
[CV] c1=0.5673759146103632, c2=0.05059681500825054 ...................
[CV]  c1=0.5673759146103632, c2=0.05059681500825054, score=0.725277 -   1.6s
[CV] c1=0.30850472299834053, c2=0.0196750664541839 ...................
[CV]  c1=0.30850472299834053, c2=0.0196750664541839, score=0.839574 -   1.6s
[CV] c1=0.022655329272610998, c2=0.01579907158919043 .................
[CV]  c1=0.022655329272610998, c2=0.01579907158919043, score=0.764571 -   1.3s
[CV] c1=0.821458756381012, c2=0.04887239171302178 ....................
[CV]  c1=0.821458756381012, c2=0.04887239171302178, score=0.701369 -   1.3s
[CV] c1=0.06127514724231947, c2=0.051930475323638786 .................
[CV]  c1=0.06127514724231947, c2=0.051930475323638786, score=0.809184 -   1.6s
[CV] c1=0.20298427113465956, c2=0.03769218930386749 ..................
[CV]  c1=0.20298427113465956, c2=0.03769218930386749, score=0.825629 -   1.6s
[CV] c1=0.2753875423532825, c2=0.10837981436351302 ...................
[CV]  c1=0.2753875423532825, c2=0.10837981436351302, score=0.799749 -   1.6s
[CV] c1=1.078148808832389, c2=0.06409887654887941 ....................
[CV]  c1=1.078148808832389, c2=0.06409887654887941, score=0.687226 -   1.5s
[CV] c1=0.43200616537827274, c2=0.10815324678972019 ..................
[CV]  c1=0.43200616537827274, c2=0.10815324678972019, score=0.763540 -   1.6s
[CV] c1=0.05144314523372485, c2=0.011439423612117083 .................
[CV]  c1=0.05144314523372485, c2=0.011439423612117083, score=0.810845 -   1.5s
[CV] c1=0.3652904938554671, c2=0.02541975939830154 ...................
[CV]  c1=0.3652904938554671, c2=0.02541975939830154, score=0.810575 -   1.1s
[CV] c1=0.09859662071483541, c2=0.06602871286914759 ..................
[CV]  c1=0.09859662071483541, c2=0.06602871286914759, score=0.689908 -   1.3s
[CV] c1=0.5983915085619566, c2=0.032814751621498134 ..................
[CV]  c1=0.5983915085619566, c2=0.032814751621498134, score=0.790805 -   1.6s
[CV] c1=0.24140394362450635, c2=0.010644816964704411 .................
[CV]  c1=0.24140394362450635, c2=0.010644816964704411, score=0.863332 -   1.5s
[CV] c1=0.060707649040802295, c2=0.08793237666291742 .................
[CV]  c1=0.060707649040802295, c2=0.08793237666291742, score=0.791860 -   1.6s
[CV] c1=0.3717476844404332, c2=0.010150652017662356 ..................
[CV]  c1=0.3717476844404332, c2=0.010150652017662356, score=0.795877 -   1.5s
[CV] c1=1.257913501066348, c2=0.13891550129558303 ....................
[CV]  c1=1.257913501066348, c2=0.13891550129558303, score=0.779904 -   1.4s
[CV] c1=0.24695917311396556, c2=0.10527302693014062 ..................
[CV]  c1=0.24695917311396556, c2=0.10527302693014062, score=0.799749 -   1.5s
[CV] c1=0.10339467121368723, c2=0.057343942842703444 .................
[CV]  c1=0.10339467121368723, c2=0.057343942842703444, score=0.690578 -   1.4s
[CV] c1=1.0206693514699345, c2=0.01657236418442986 ...................
[CV]  c1=1.0206693514699345, c2=0.01657236418442986, score=0.794119 -   1.5s
[CV] c1=0.45442905155043534, c2=0.04586181064073056 ..................
[CV]  c1=0.45442905155043534, c2=0.04586181064073056, score=0.709582 -   1.2s
[CV] c1=0.3751550609775256, c2=0.028057866626421585 ..................
[CV]  c1=0.3751550609775256, c2=0.028057866626421585, score=0.807507 -   1.6s
[CV] c1=0.038069460276669125, c2=0.0674626772166068 ..................
[CV]  c1=0.038069460276669125, c2=0.0674626772166068, score=0.722421 -   1.2s
[CV] c1=0.02818329146390219, c2=0.008437949069985018 .................
[CV]  c1=0.02818329146390219, c2=0.008437949069985018, score=0.900976 -   1.1s
[CV] c1=0.6457747861576254, c2=0.004982665552446391 ..................
[CV]  c1=0.6457747861576254, c2=0.004982665552446391, score=0.816296 -   1.3s
[CV] c1=1.0045122338806687, c2=0.03858188925199153 ...................
[CV]  c1=1.0045122338806687, c2=0.03858188925199153, score=0.645889 -   1.5s
[CV] c1=0.15580711422814317, c2=0.03178009468378831 ..................
[CV]  c1=0.15580711422814317, c2=0.03178009468378831, score=0.871290 -   1.5s
[CV] c1=0.9735107046910693, c2=0.0311301825839672 ....................
[CV]  c1=0.9735107046910693, c2=0.0311301825839672, score=0.794119 -   1.4s
[CV] c1=0.273172556588676, c2=0.11059477295058849 ....................
[CV]  c1=0.273172556588676, c2=0.11059477295058849, score=0.682380 -   1.3s
[CV] c1=0.39442399577862297, c2=0.177009493884939 ....................
[CV]  c1=0.39442399577862297, c2=0.177009493884939, score=0.896240 -   1.7s
[CV] c1=0.848383285949541, c2=0.041168745819179876 ...................
[CV]  c1=0.848383285949541, c2=0.041168745819179876, score=0.860658 -   1.5s
[CV] c1=0.2369371539387539, c2=0.04402436080110807 ...................
[CV]  c1=0.2369371539387539, c2=0.04402436080110807, score=0.902628 -   1.6s
[CV] c1=0.5501674156749121, c2=0.05673256785894603 ...................
[CV]  c1=0.5501674156749121, c2=0.05673256785894603, score=0.817463 -   1.4s
[CV] c1=1.024969625099047, c2=0.14036124182614862 ....................
[CV]  c1=1.024969625099047, c2=0.14036124182614862, score=0.800275 -   1.4s
[CV] c1=0.3751550609775256, c2=0.028057866626421585 ..................
[CV]  c1=0.3751550609775256, c2=0.028057866626421585, score=0.802138 -   1.6s
[CV] c1=1.3218344182286619, c2=0.010732118225266311 ..................
[CV]  c1=1.3218344182286619, c2=0.010732118225266311, score=0.792322 -   1.5s
[CV] c1=0.02818329146390219, c2=0.008437949069985018 .................
[CV]  c1=0.02818329146390219, c2=0.008437949069985018, score=0.843994 -   1.0s
[CV] c1=0.6457747861576254, c2=0.004982665552446391 ..................
[CV]  c1=0.6457747861576254, c2=0.004982665552446391, score=0.728768 -   1.5s
[CV] c1=0.5983915085619566, c2=0.032814751621498134 ..................
[CV]  c1=0.5983915085619566, c2=0.032814751621498134, score=0.740110 -   1.6s
[CV] c1=3.0205761463522327, c2=0.09517687419192818 ...................
[CV]  c1=3.0205761463522327, c2=0.09517687419192818, score=0.490528 -   1.5s
[CV] c1=0.060707649040802295, c2=0.08793237666291742 .................
[CV]  c1=0.060707649040802295, c2=0.08793237666291742, score=0.877412 -   1.5s
[CV] c1=1.1844802209151635, c2=0.031077978151044183 ..................
[CV]  c1=1.1844802209151635, c2=0.031077978151044183, score=0.628734 -   1.2s
[CV] c1=0.03721895155022407, c2=0.0010022413948214937 ................
[CV]  c1=0.03721895155022407, c2=0.0010022413948214937, score=0.747053 -   1.2s
[CV] c1=0.8170722415835514, c2=0.018660093163772182 ..................
[CV]  c1=0.8170722415835514, c2=0.018660093163772182, score=0.776959 -   1.6s
[CV] c1=0.3824609866362675, c2=0.058807026451179335 ..................
[CV]  c1=0.3824609866362675, c2=0.058807026451179335, score=0.776928 -   1.5s
[CV] c1=0.5163091388673626, c2=0.06282009921104066 ...................
[CV]  c1=0.5163091388673626, c2=0.06282009921104066, score=0.751159 -   1.5s
[CV] c1=0.19288361816106167, c2=0.0010969062542901164 ................
[CV]  c1=0.19288361816106167, c2=0.0010969062542901164, score=0.865142 -   1.5s
[CV] c1=0.43200616537827274, c2=0.10815324678972019 ..................
[CV]  c1=0.43200616537827274, c2=0.10815324678972019, score=0.843945 -   1.4s
[CV] c1=0.05144314523372485, c2=0.011439423612117083 .................
[CV]  c1=0.05144314523372485, c2=0.011439423612117083, score=0.892459 -   1.4s
[CV] c1=0.3652904938554671, c2=0.02541975939830154 ...................
[CV]  c1=0.3652904938554671, c2=0.02541975939830154, score=0.902900 -   1.3s
[CV] c1=0.6833805256032035, c2=0.16510893264198923 ...................
[CV]  c1=0.6833805256032035, c2=0.16510893264198923, score=0.682751 -   0.9s
[CV] c1=0.006582369728043033, c2=0.06340012419800833 .................
[CV]  c1=0.006582369728043033, c2=0.06340012419800833, score=0.826436 -   1.6s
[CV] c1=0.20836829448692157, c2=0.19261704479634625 ..................
[CV]  c1=0.20836829448692157, c2=0.19261704479634625, score=0.856428 -   1.6s
[CV] c1=2.9013558891840754, c2=0.007535775145729062 ..................
[CV]  c1=2.9013558891840754, c2=0.007535775145729062, score=0.591857 -   1.5s
[CV] c1=0.6766695488668438, c2=0.11403636662626507 ...................
[CV]  c1=0.6766695488668438, c2=0.11403636662626507, score=0.785489 -   1.6s
[CV] c1=0.821458756381012, c2=0.04887239171302178 ....................
[CV]  c1=0.821458756381012, c2=0.04887239171302178, score=0.865243 -   1.6s
[CV] c1=0.8170722415835514, c2=0.018660093163772182 ..................
[CV]  c1=0.8170722415835514, c2=0.018660093163772182, score=0.687263 -   1.6s
[CV] c1=0.3824609866362675, c2=0.058807026451179335 ..................
[CV]  c1=0.3824609866362675, c2=0.058807026451179335, score=0.900339 -   1.6s
[CV] c1=0.5501674156749121, c2=0.05673256785894603 ...................
[CV]  c1=0.5501674156749121, c2=0.05673256785894603, score=0.893884 -   1.5s
[CV] c1=1.024969625099047, c2=0.14036124182614862 ....................
[CV]  c1=1.024969625099047, c2=0.14036124182614862, score=0.850058 -   1.5s
[CV] c1=0.3751550609775256, c2=0.028057866626421585 ..................
[CV]  c1=0.3751550609775256, c2=0.028057866626421585, score=0.896472 -   1.5s
[CV] c1=1.3218344182286619, c2=0.010732118225266311 ..................
[CV]  c1=1.3218344182286619, c2=0.010732118225266311, score=0.614454 -   1.6s
[CV] c1=0.02818329146390219, c2=0.008437949069985018 .................
[CV]  c1=0.02818329146390219, c2=0.008437949069985018, score=0.842582 -   1.1s
Training done in: 21.493439s
     Saving training model...
        Saving training model done in: 0.013556s
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Prediction done in: 0.035897s