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

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Run14_v10.txt 72.9 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: Run14
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: TrueS4: True
Run variant: 10
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: 0.003742s
-------------------------------- 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   -2:lemma  culture
12  -2:postag      VBN
13   +2:lemma  minimal
14  +2:postag       JJ
15     -1:ner        _
16     +1:ner      MED
17     -2:ner        _
18     +2:ner      MED
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10   word[:1]           d
11   word[:2]          de
12   -2:lemma     affyexp
13  -2:postag          JJ
14   +2:lemma     glucose
15  +2:postag          NN
16     -1:ner           _
17     +1:ner           _
18     -2:ner           _
19     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.13698376994914155, c2=0.0033498876741816018 ................
[CV]  c1=0.13698376994914155, c2=0.0033498876741816018, score=0.871504 -   1.5s
[CV] c1=0.14334379595964497, c2=0.10016830449855577 ..................
[CV]  c1=0.14334379595964497, c2=0.10016830449855577, score=0.876044 -   1.6s
[CV] c1=0.036871903967088615, c2=0.008186003069095072 ................
[CV]  c1=0.036871903967088615, c2=0.008186003069095072, score=0.845880 -   1.5s
[CV] c1=0.2338848236341942, c2=0.005238742140736285 ..................
[CV]  c1=0.2338848236341942, c2=0.005238742140736285, score=0.859573 -   1.6s
[CV] c1=0.49905623042889996, c2=0.22246904700973863 ..................
[CV]  c1=0.49905623042889996, c2=0.22246904700973863, score=0.861502 -   1.5s
[CV] c1=2.437647687785342, c2=0.041067493505513204 ...................
[CV]  c1=2.437647687785342, c2=0.041067493505513204, score=0.667776 -   1.2s
[CV] c1=0.9656996934606252, c2=0.12908710268082335 ...................
[CV]  c1=0.9656996934606252, c2=0.12908710268082335, score=0.624793 -   1.6s
[CV] c1=0.8277709053377498, c2=0.059312343024638975 ..................
[CV]  c1=0.8277709053377498, c2=0.059312343024638975, score=0.785206 -   1.6s
[CV] c1=0.05547188709589734, c2=0.008803732634461783 .................
[CV]  c1=0.05547188709589734, c2=0.008803732634461783, score=0.799708 -   1.6s
[CV] c1=0.06762730673650286, c2=0.024043993608793956 .................
[CV]  c1=0.06762730673650286, c2=0.024043993608793956, score=0.861157 -   1.3s
[CV] c1=1.4504018307620512, c2=0.017090295183154563 ..................
[CV]  c1=1.4504018307620512, c2=0.017090295183154563, score=0.865964 -   1.5s
[CV] c1=0.08911877271197598, c2=0.006541804185186611 .................
[CV]  c1=0.08911877271197598, c2=0.006541804185186611, score=0.797117 -   1.6s
[CV] c1=0.13698376994914155, c2=0.0033498876741816018 ................
[CV]  c1=0.13698376994914155, c2=0.0033498876741816018, score=0.786272 -   1.3s
[CV] c1=0.18372390327654844, c2=0.016571006403761843 .................
[CV]  c1=0.18372390327654844, c2=0.016571006403761843, score=0.885767 -   1.6s
[CV] c1=0.5442782152639611, c2=0.007371714921940245 ..................
[CV]  c1=0.5442782152639611, c2=0.007371714921940245, score=0.720898 -   1.7s
[CV] c1=0.42784761356868645, c2=0.017395966937559782 .................
[CV]  c1=0.42784761356868645, c2=0.017395966937559782, score=0.906320 -   1.6s
[CV] c1=0.6521896810726856, c2=0.11971583009651464 ...................
[CV]  c1=0.6521896810726856, c2=0.11971583009651464, score=0.879983 -   1.6s
[CV] c1=0.2762341374490217, c2=0.11037792022285285 ...................
[CV]  c1=0.2762341374490217, c2=0.11037792022285285, score=0.806981 -   1.4s
[CV] c1=0.04974380998330405, c2=0.010384511794905698 .................
[CV]  c1=0.04974380998330405, c2=0.010384511794905698, score=0.831899 -   1.6s
[CV] c1=0.8277709053377498, c2=0.059312343024638975 ..................
[CV]  c1=0.8277709053377498, c2=0.059312343024638975, score=0.677056 -   1.6s
[CV] c1=0.28242097900808394, c2=0.04779067795694033 ..................
[CV]  c1=0.28242097900808394, c2=0.04779067795694033, score=0.865106 -   1.6s
[CV] c1=3.313721442788157, c2=0.07529909731851507 ....................
[CV]  c1=3.313721442788157, c2=0.07529909731851507, score=0.452070 -   1.7s
[CV] c1=1.4504018307620512, c2=0.017090295183154563 ..................
[CV]  c1=1.4504018307620512, c2=0.017090295183154563, score=0.744495 -   1.5s
[CV] c1=0.08911877271197598, c2=0.006541804185186611 .................
[CV]  c1=0.08911877271197598, c2=0.006541804185186611, score=0.840803 -   1.6s
[CV] c1=0.44496354032528385, c2=0.009152300764029045 .................
[CV]  c1=0.44496354032528385, c2=0.009152300764029045, score=0.899528 -   1.5s
[CV] c1=0.49782097911058826, c2=0.05362166860334684 ..................
[CV]  c1=0.49782097911058826, c2=0.05362166860334684, score=0.809730 -   1.6s
[CV] c1=0.3694781093986277, c2=0.04130517713771656 ...................
[CV]  c1=0.3694781093986277, c2=0.04130517713771656, score=0.901974 -   1.5s
[CV] c1=0.25599149990590053, c2=0.0072339492832769 ...................
[CV]  c1=0.25599149990590053, c2=0.0072339492832769, score=0.902926 -   1.5s
[CV] c1=0.24471693307526107, c2=0.0195282375714882 ...................
[CV]  c1=0.24471693307526107, c2=0.0195282375714882, score=0.860088 -   1.6s
[CV] c1=1.6446456780310865, c2=0.030827136148052676 ..................
[CV]  c1=1.6446456780310865, c2=0.030827136148052676, score=0.693049 -   1.2s
[CV] c1=0.543659442977964, c2=0.03547955112593467 ....................
[CV]  c1=0.543659442977964, c2=0.03547955112593467, score=0.729001 -   1.6s
[CV] c1=0.27405782206227736, c2=0.04255395809739044 ..................
[CV]  c1=0.27405782206227736, c2=0.04255395809739044, score=0.918463 -   1.6s
[CV] c1=0.7744925188929093, c2=0.06805225332405795 ...................
[CV]  c1=0.7744925188929093, c2=0.06805225332405795, score=0.754410 -   1.3s
[CV] c1=0.06762730673650286, c2=0.024043993608793956 .................
[CV]  c1=0.06762730673650286, c2=0.024043993608793956, score=0.841254 -   1.6s
[CV] c1=0.21602873184258475, c2=0.0056630876510271565 ................
[CV]  c1=0.21602873184258475, c2=0.0056630876510271565, score=0.860719 -   1.5s
[CV] c1=0.2490851282370403, c2=0.08687196083639509 ...................
[CV]  c1=0.2490851282370403, c2=0.08687196083639509, score=0.854833 -   1.5s
[CV] c1=0.13698376994914155, c2=0.0033498876741816018 ................
[CV]  c1=0.13698376994914155, c2=0.0033498876741816018, score=0.905464 -   1.3s
[CV] c1=0.18372390327654844, c2=0.016571006403761843 .................
[CV]  c1=0.18372390327654844, c2=0.016571006403761843, score=0.783143 -   1.6s
[CV] c1=0.5442782152639611, c2=0.007371714921940245 ..................
[CV]  c1=0.5442782152639611, c2=0.007371714921940245, score=0.843710 -   1.7s
[CV] c1=0.42784761356868645, c2=0.017395966937559782 .................
[CV]  c1=0.42784761356868645, c2=0.017395966937559782, score=0.870482 -   1.6s
[CV] c1=0.7866613340969455, c2=0.06820092919287556 ...................
[CV]  c1=0.7866613340969455, c2=0.06820092919287556, score=0.800328 -   1.6s
[CV] c1=2.437647687785342, c2=0.041067493505513204 ...................
[CV]  c1=2.437647687785342, c2=0.041067493505513204, score=0.789676 -   1.6s
[CV] c1=0.543659442977964, c2=0.03547955112593467 ....................
[CV]  c1=0.543659442977964, c2=0.03547955112593467, score=0.809730 -   1.5s
[CV] c1=0.3980488101075794, c2=0.08603960933814483 ...................
[CV]  c1=0.3980488101075794, c2=0.08603960933814483, score=0.737053 -   1.6s
[CV] c1=0.7744925188929093, c2=0.06805225332405795 ...................
[CV]  c1=0.7744925188929093, c2=0.06805225332405795, score=0.875284 -   1.5s
[CV] c1=0.27185068684501934, c2=0.1857117058813783 ...................
[CV]  c1=0.27185068684501934, c2=0.1857117058813783, score=0.810247 -   1.6s
[CV] c1=0.36608496959636694, c2=0.06293452712979147 ..................
[CV]  c1=0.36608496959636694, c2=0.06293452712979147, score=0.865605 -   1.6s
[CV] c1=0.38193236825186594, c2=0.014422404039197763 .................
[CV]  c1=0.38193236825186594, c2=0.014422404039197763, score=0.793269 -   1.3s
[CV] c1=0.1559243101686797, c2=0.13206257547364258 ...................
[CV]  c1=0.1559243101686797, c2=0.13206257547364258, score=0.815229 -   1.3s
[CV] c1=0.9313578357953661, c2=0.05211551258131869 ...................
[CV]  c1=0.9313578357953661, c2=0.05211551258131869, score=0.805372 -   1.5s
[CV] c1=0.03273319890906725, c2=0.05401067550030697 ..................
[CV]  c1=0.03273319890906725, c2=0.05401067550030697, score=0.883272 -   1.6s
[CV] c1=1.4100377078004322, c2=0.011231114003042865 ..................
[CV]  c1=1.4100377078004322, c2=0.011231114003042865, score=0.620987 -   1.6s
[CV] c1=0.49905623042889996, c2=0.22246904700973863 ..................
[CV]  c1=0.49905623042889996, c2=0.22246904700973863, score=0.813565 -   1.9s
[CV] c1=1.6446456780310865, c2=0.030827136148052676 ..................
[CV]  c1=1.6446456780310865, c2=0.030827136148052676, score=0.630754 -   1.5s
[CV] c1=0.21375610478456608, c2=0.022542684440435362 .................
[CV]  c1=0.21375610478456608, c2=0.022542684440435362, score=0.799174 -   1.2s
[CV] c1=0.27405782206227736, c2=0.04255395809739044 ..................
[CV]  c1=0.27405782206227736, c2=0.04255395809739044, score=0.787617 -   1.5s
[CV] c1=0.7744925188929093, c2=0.06805225332405795 ...................
[CV]  c1=0.7744925188929093, c2=0.06805225332405795, score=0.780183 -   1.6s
[CV] c1=0.5071794004317602, c2=0.03573591142773304 ...................
[CV]  c1=0.5071794004317602, c2=0.03573591142773304, score=0.731957 -   1.6s
[CV] c1=1.5415551747423224, c2=0.01121098456014398 ...................
[CV]  c1=1.5415551747423224, c2=0.01121098456014398, score=0.673122 -   1.2s
[CV] c1=0.5720232287471745, c2=0.24102373244895148 ...................
[CV]  c1=0.5720232287471745, c2=0.24102373244895148, score=0.773505 -   1.4s
[CV] c1=0.7039888095440966, c2=0.02367984138529175 ...................
[CV]  c1=0.7039888095440966, c2=0.02367984138529175, score=0.849081 -   1.4s
[CV] c1=0.18372390327654844, c2=0.016571006403761843 .................
[CV]  c1=0.18372390327654844, c2=0.016571006403761843, score=0.857554 -   1.5s
[CV] c1=0.5442782152639611, c2=0.007371714921940245 ..................
[CV]  c1=0.5442782152639611, c2=0.007371714921940245, score=0.834759 -   1.5s
[CV] c1=0.5288043210928465, c2=0.04133887611629999 ...................
[CV]  c1=0.5288043210928465, c2=0.04133887611629999, score=0.809429 -   1.5s
[CV] c1=0.9176030830894092, c2=0.009827138128253893 ..................
[CV]  c1=0.9176030830894092, c2=0.009827138128253893, score=0.789167 -   1.6s
[CV] c1=0.2762341374490217, c2=0.11037792022285285 ...................
[CV]  c1=0.2762341374490217, c2=0.11037792022285285, score=0.890817 -   1.8s
[CV] c1=0.11028592011184567, c2=0.0007399161589858334 ................
[CV]  c1=0.11028592011184567, c2=0.0007399161589858334, score=0.840837 -   1.6s
[CV] c1=0.3980488101075794, c2=0.08603960933814483 ...................
[CV]  c1=0.3980488101075794, c2=0.08603960933814483, score=0.828008 -   1.5s
[CV] c1=1.3634227940666634, c2=0.10125616586491182 ...................
[CV]  c1=1.3634227940666634, c2=0.10125616586491182, score=0.750790 -   1.6s
[CV] c1=0.27185068684501934, c2=0.1857117058813783 ...................
[CV]  c1=0.27185068684501934, c2=0.1857117058813783, score=0.852431 -   1.6s
[CV] c1=0.36608496959636694, c2=0.06293452712979147 ..................
[CV]  c1=0.36608496959636694, c2=0.06293452712979147, score=0.908403 -   1.5s
[CV] c1=0.5720232287471745, c2=0.24102373244895148 ...................
[CV]  c1=0.5720232287471745, c2=0.24102373244895148, score=0.856777 -   1.5s
[CV] c1=0.44496354032528385, c2=0.009152300764029045 .................
[CV]  c1=0.44496354032528385, c2=0.009152300764029045, score=0.860968 -   1.6s
[CV] c1=0.11995784672990904, c2=0.09988016775240977 ..................
[CV]  c1=0.11995784672990904, c2=0.09988016775240977, score=0.859491 -   1.5s
[CV] c1=0.855364048827348, c2=0.04949542866629896 ....................
[CV]  c1=0.855364048827348, c2=0.04949542866629896, score=0.778005 -   1.7s
[CV] c1=0.07371577220650673, c2=0.08645080245694685 ..................
[CV]  c1=0.07371577220650673, c2=0.08645080245694685, score=0.815179 -   1.2s
[CV] c1=0.22221218690992597, c2=0.030465011159691247 .................
[CV]  c1=0.22221218690992597, c2=0.030465011159691247, score=0.857318 -   1.6s
[CV] c1=1.6446456780310865, c2=0.030827136148052676 ..................
[CV]  c1=1.6446456780310865, c2=0.030827136148052676, score=0.740119 -   1.5s
[CV] c1=0.4036856566270474, c2=0.041989110490490276 ..................
[CV]  c1=0.4036856566270474, c2=0.041989110490490276, score=0.770339 -   1.6s
[CV] c1=1.0201476136709393, c2=0.017381712165708236 ..................
[CV]  c1=1.0201476136709393, c2=0.017381712165708236, score=0.866607 -   1.5s
[CV] c1=1.0473750104774435, c2=0.0035656315799880672 .................
[CV]  c1=1.0473750104774435, c2=0.0035656315799880672, score=0.698771 -   1.3s
[CV] c1=0.13079873718357454, c2=0.025147514229124812 .................
[CV]  c1=0.13079873718357454, c2=0.025147514229124812, score=0.858415 -   1.4s
[CV] c1=0.36608496959636694, c2=0.06293452712979147 ..................
[CV]  c1=0.36608496959636694, c2=0.06293452712979147, score=0.797123 -   1.3s
[CV] c1=0.2490851282370403, c2=0.08687196083639509 ...................
[CV]  c1=0.2490851282370403, c2=0.08687196083639509, score=0.892585 -   1.5s
[CV] c1=0.1559243101686797, c2=0.13206257547364258 ...................
[CV]  c1=0.1559243101686797, c2=0.13206257547364258, score=0.793329 -   1.7s
[CV] c1=0.20810261082009396, c2=0.04772008752714069 ..................
[CV]  c1=0.20810261082009396, c2=0.04772008752714069, score=0.859573 -   1.5s
[CV] c1=0.3694781093986277, c2=0.04130517713771656 ...................
[CV]  c1=0.3694781093986277, c2=0.04130517713771656, score=0.851070 -   1.6s
[CV] c1=0.25599149990590053, c2=0.0072339492832769 ...................
[CV]  c1=0.25599149990590053, c2=0.0072339492832769, score=0.857318 -   1.6s
[CV] c1=1.1837098765696514, c2=0.1343207518595306 ....................
[CV]  c1=1.1837098765696514, c2=0.1343207518595306, score=0.861038 -   1.6s
[CV] c1=1.0938101336499273, c2=0.012964727710244317 ..................
[CV]  c1=1.0938101336499273, c2=0.012964727710244317, score=0.700904 -   1.3s
[CV] c1=0.5682561230428169, c2=0.019317830190707375 ..................
[CV]  c1=0.5682561230428169, c2=0.019317830190707375, score=0.843710 -   1.5s
[CV] c1=1.1984049147054157, c2=0.004500977415521401 ..................
[CV]  c1=1.1984049147054157, c2=0.004500977415521401, score=0.869952 -   1.5s
[CV] c1=0.5338564708313156, c2=0.04213412424403418 ...................
[CV]  c1=0.5338564708313156, c2=0.04213412424403418, score=0.718693 -   1.2s
[CV] c1=0.27185068684501934, c2=0.1857117058813783 ...................
[CV]  c1=0.27185068684501934, c2=0.1857117058813783, score=0.887248 -   1.5s
[CV] c1=0.21602873184258475, c2=0.0056630876510271565 ................
[CV]  c1=0.21602873184258475, c2=0.0056630876510271565, score=0.885341 -   1.5s
[CV] c1=0.2490851282370403, c2=0.08687196083639509 ...................
[CV]  c1=0.2490851282370403, c2=0.08687196083639509, score=0.793329 -   1.6s
[CV] c1=0.44496354032528385, c2=0.009152300764029045 .................
[CV]  c1=0.44496354032528385, c2=0.009152300764029045, score=0.849044 -   1.5s
[CV] c1=0.20810261082009396, c2=0.04772008752714069 ..................
[CV]  c1=0.20810261082009396, c2=0.04772008752714069, score=0.787617 -   1.6s
[CV] c1=0.3694781093986277, c2=0.04130517713771656 ...................
[CV]  c1=0.3694781093986277, c2=0.04130517713771656, score=0.830504 -   1.6s
[CV] c1=0.48671106984183493, c2=0.0891410221613525 ...................
[CV]  c1=0.48671106984183493, c2=0.0891410221613525, score=0.788740 -   1.3s
[CV] c1=0.22221218690992597, c2=0.030465011159691247 .................
[CV]  c1=0.22221218690992597, c2=0.030465011159691247, score=0.908131 -   1.5s
[CV] c1=1.6446456780310865, c2=0.030827136148052676 ..................
[CV]  c1=1.6446456780310865, c2=0.030827136148052676, score=0.839680 -   1.5s
[CV] c1=0.4036856566270474, c2=0.041989110490490276 ..................
[CV]  c1=0.4036856566270474, c2=0.041989110490490276, score=0.806887 -   1.3s
[CV] c1=0.3980488101075794, c2=0.08603960933814483 ...................
[CV]  c1=0.3980488101075794, c2=0.08603960933814483, score=0.822514 -   1.6s
[CV] c1=0.7744925188929093, c2=0.06805225332405795 ...................
[CV]  c1=0.7744925188929093, c2=0.06805225332405795, score=0.799470 -   1.6s
[CV] c1=0.13079873718357454, c2=0.025147514229124812 .................
[CV]  c1=0.13079873718357454, c2=0.025147514229124812, score=0.841254 -   1.6s
[CV] c1=0.33629684505432544, c2=0.028155186249169253 .................
[CV]  c1=0.33629684505432544, c2=0.028155186249169253, score=0.783875 -   1.2s
[CV] c1=0.2490851282370403, c2=0.08687196083639509 ...................
[CV]  c1=0.2490851282370403, c2=0.08687196083639509, score=0.830504 -   1.6s
[CV] c1=0.20692321085077717, c2=0.0314225304357574 ...................
[CV]  c1=0.20692321085077717, c2=0.0314225304357574, score=0.791300 -   1.7s
[CV] c1=1.2089443684310925, c2=0.030728974543504317 ..................
[CV]  c1=1.2089443684310925, c2=0.030728974543504317, score=0.874429 -   1.5s
[CV] c1=0.855364048827348, c2=0.04949542866629896 ....................
[CV]  c1=0.855364048827348, c2=0.04949542866629896, score=0.683822 -   1.5s
[CV] c1=0.48671106984183493, c2=0.0891410221613525 ...................
[CV]  c1=0.48671106984183493, c2=0.0891410221613525, score=0.820032 -   1.5s
[CV] c1=1.1837098765696514, c2=0.1343207518595306 ....................
[CV]  c1=1.1837098765696514, c2=0.1343207518595306, score=0.629789 -   1.5s
[CV] c1=1.0938101336499273, c2=0.012964727710244317 ..................
[CV]  c1=1.0938101336499273, c2=0.012964727710244317, score=0.800527 -   1.5s
[CV] c1=0.21375610478456608, c2=0.022542684440435362 .................
[CV]  c1=0.21375610478456608, c2=0.022542684440435362, score=0.859573 -   1.5s
[CV] c1=1.0201476136709393, c2=0.017381712165708236 ..................
[CV]  c1=1.0201476136709393, c2=0.017381712165708236, score=0.697963 -   1.5s
[CV] c1=1.0473750104774435, c2=0.0035656315799880672 .................
[CV]  c1=1.0473750104774435, c2=0.0035656315799880672, score=0.762882 -   1.5s
[CV] c1=3.795239394977131, c2=0.03421074538531201 ....................
[CV]  c1=3.795239394977131, c2=0.03421074538531201, score=0.523707 -   1.4s
[CV] c1=1.5415551747423224, c2=0.01121098456014398 ...................
[CV]  c1=1.5415551747423224, c2=0.01121098456014398, score=0.863615 -   1.5s
[CV] c1=0.5894224307955791, c2=0.009331211050305805 ..................
[CV]  c1=0.5894224307955791, c2=0.009331211050305805, score=0.766540 -   1.2s
[CV] c1=0.20692321085077717, c2=0.0314225304357574 ...................
[CV]  c1=0.20692321085077717, c2=0.0314225304357574, score=0.857318 -   1.5s
[CV] c1=0.11995784672990904, c2=0.09988016775240977 ..................
[CV]  c1=0.11995784672990904, c2=0.09988016775240977, score=0.789991 -   1.6s
[CV] c1=0.37296990035504235, c2=0.029901232631360703 .................
[CV]  c1=0.37296990035504235, c2=0.029901232631360703, score=0.912186 -   1.5s
[CV] c1=0.07371577220650673, c2=0.08645080245694685 ..................
[CV]  c1=0.07371577220650673, c2=0.08645080245694685, score=0.890545 -   1.6s
[CV] c1=3.73270020860784, c2=0.049977244261277316 ....................
[CV]  c1=3.73270020860784, c2=0.049977244261277316, score=0.620105 -   1.6s
[CV] c1=0.10476042588836011, c2=0.00930575909089972 ..................
[CV]  c1=0.10476042588836011, c2=0.00930575909089972, score=0.807634 -   1.3s
[CV] c1=0.4036856566270474, c2=0.041989110490490276 ..................
[CV]  c1=0.4036856566270474, c2=0.041989110490490276, score=0.853325 -   1.7s
[CV] c1=1.0201476136709393, c2=0.017381712165708236 ..................
[CV]  c1=1.0201476136709393, c2=0.017381712165708236, score=0.768791 -   1.5s
[CV] c1=1.0473750104774435, c2=0.0035656315799880672 .................
[CV]  c1=1.0473750104774435, c2=0.0035656315799880672, score=0.788067 -   1.5s
[CV] c1=3.795239394977131, c2=0.03421074538531201 ....................
[CV]  c1=3.795239394977131, c2=0.03421074538531201, score=0.520244 -   1.2s
[CV] c1=0.36608496959636694, c2=0.06293452712979147 ..................
[CV]  c1=0.36608496959636694, c2=0.06293452712979147, score=0.757457 -   1.6s
[CV] c1=0.38193236825186594, c2=0.014422404039197763 .................
[CV]  c1=0.38193236825186594, c2=0.014422404039197763, score=0.893985 -   1.5s
[CV] c1=0.07597333679343841, c2=0.17634775767431377 ..................
[CV]  c1=0.07597333679343841, c2=0.17634775767431377, score=0.764018 -   1.1s
[CV] c1=1.1694553748603354, c2=0.07196181572776382 ...................
[CV]  c1=1.1694553748603354, c2=0.07196181572776382, score=0.718437 -   1.4s
[CV] c1=1.2089443684310925, c2=0.030728974543504317 ..................
[CV]  c1=1.2089443684310925, c2=0.030728974543504317, score=0.643244 -   1.6s
[CV] c1=0.37296990035504235, c2=0.029901232631360703 .................
[CV]  c1=0.37296990035504235, c2=0.029901232631360703, score=0.848817 -   1.7s
[CV] c1=0.9176030830894092, c2=0.009827138128253893 ..................
[CV]  c1=0.9176030830894092, c2=0.009827138128253893, score=0.692037 -   1.6s
[CV] c1=0.27748057448212504, c2=0.30479822354734076 ..................
[CV]  c1=0.27748057448212504, c2=0.30479822354734076, score=0.839058 -   1.5s
[CV] c1=0.04974380998330405, c2=0.010384511794905698 .................
[CV]  c1=0.04974380998330405, c2=0.010384511794905698, score=0.841825 -   1.5s
[CV] c1=0.01770111914089239, c2=0.007847899285222398 .................
[CV]  c1=0.01770111914089239, c2=0.007847899285222398, score=0.861157 -   1.5s
[CV] c1=0.23306719484507119, c2=0.011144182742650433 .................
[CV]  c1=0.23306719484507119, c2=0.011144182742650433, score=0.788968 -   1.6s
[CV] c1=1.091861996110695, c2=0.11836381944129111 ....................
[CV]  c1=1.091861996110695, c2=0.11836381944129111, score=0.676680 -   1.6s
[CV] c1=0.41689755918125526, c2=0.1381518731337264 ...................
[CV]  c1=0.41689755918125526, c2=0.1381518731337264, score=0.752343 -   1.3s
[CV] c1=0.22440785852759237, c2=0.016062353823248266 .................
[CV]  c1=0.22440785852759237, c2=0.016062353823248266, score=0.799676 -   1.3s
[CV] c1=0.05047824115262361, c2=0.003358856792852357 .................
[CV]  c1=0.05047824115262361, c2=0.003358856792852357, score=0.832251 -   1.1s
[CV] c1=0.07597333679343841, c2=0.17634775767431377 ..................
[CV]  c1=0.07597333679343841, c2=0.17634775767431377, score=0.771771 -   1.3s
[CV] c1=0.14334379595964497, c2=0.10016830449855577 ..................
[CV]  c1=0.14334379595964497, c2=0.10016830449855577, score=0.890545 -   1.6s
[CV] c1=0.11464928895858892, c2=0.026870494230894056 .................
[CV]  c1=0.11464928895858892, c2=0.026870494230894056, score=0.859573 -   1.5s
[CV] c1=0.42784761356868645, c2=0.017395966937559782 .................
[CV]  c1=0.42784761356868645, c2=0.017395966937559782, score=0.759121 -   1.7s
[CV] c1=0.7866613340969455, c2=0.06820092919287556 ...................
[CV]  c1=0.7866613340969455, c2=0.06820092919287556, score=0.725773 -   1.3s
[CV] c1=0.27748057448212504, c2=0.30479822354734076 ..................
[CV]  c1=0.27748057448212504, c2=0.30479822354734076, score=0.804870 -   1.6s
[CV] c1=0.9656996934606252, c2=0.12908710268082335 ...................
[CV]  c1=0.9656996934606252, c2=0.12908710268082335, score=0.699008 -   1.3s
[CV] c1=0.01770111914089239, c2=0.007847899285222398 .................
[CV]  c1=0.01770111914089239, c2=0.007847899285222398, score=0.867646 -   1.5s
[CV] c1=0.23306719484507119, c2=0.011144182742650433 .................
[CV]  c1=0.23306719484507119, c2=0.011144182742650433, score=0.795293 -   1.3s
[CV] c1=0.8661765385381127, c2=0.0646002554499348 ....................
[CV]  c1=0.8661765385381127, c2=0.0646002554499348, score=0.815697 -   1.6s
[CV] c1=0.03958871857560305, c2=0.10505947706171177 ..................
[CV]  c1=0.03958871857560305, c2=0.10505947706171177, score=0.858948 -   1.4s
[CV] c1=0.5951895821481493, c2=0.10058612714949343 ...................
[CV]  c1=0.5951895821481493, c2=0.10058612714949343, score=0.749804 -   1.3s
[CV] c1=0.38193236825186594, c2=0.014422404039197763 .................
[CV]  c1=0.38193236825186594, c2=0.014422404039197763, score=0.835180 -   1.4s
[CV] c1=0.20647776006720245, c2=0.1651634684748067 ...................
[CV]  c1=0.20647776006720245, c2=0.1651634684748067, score=0.755081 -   1.7s
[CV] c1=0.20810261082009396, c2=0.04772008752714069 ..................
[CV]  c1=0.20810261082009396, c2=0.04772008752714069, score=0.799174 -   1.3s
[CV] c1=0.03273319890906725, c2=0.05401067550030697 ..................
[CV]  c1=0.03273319890906725, c2=0.05401067550030697, score=0.822758 -   1.6s
[CV] c1=0.4109176687926981, c2=0.0023303934572670736 .................
[CV]  c1=0.4109176687926981, c2=0.0023303934572670736, score=0.859573 -   1.6s
[CV] c1=0.24471693307526107, c2=0.0195282375714882 ...................
[CV]  c1=0.24471693307526107, c2=0.0195282375714882, score=0.861876 -   1.4s
[CV] c1=0.15651242850680058, c2=0.061848514011081684 .................
[CV]  c1=0.15651242850680058, c2=0.061848514011081684, score=0.890545 -   1.6s
[CV] c1=0.5682561230428169, c2=0.019317830190707375 ..................
[CV]  c1=0.5682561230428169, c2=0.019317830190707375, score=0.811984 -   1.5s
[CV] c1=0.27405782206227736, c2=0.04255395809739044 ..................
[CV]  c1=0.27405782206227736, c2=0.04255395809739044, score=0.864991 -   1.6s
[CV] c1=0.5338564708313156, c2=0.04213412424403418 ...................
[CV]  c1=0.5338564708313156, c2=0.04213412424403418, score=0.725951 -   1.6s
[CV] c1=0.5071794004317602, c2=0.03573591142773304 ...................
[CV]  c1=0.5071794004317602, c2=0.03573591142773304, score=0.811984 -   1.5s
[CV] c1=0.33629684505432544, c2=0.028155186249169253 .................
[CV]  c1=0.33629684505432544, c2=0.028155186249169253, score=0.857318 -   1.5s
[CV] c1=0.38193236825186594, c2=0.014422404039197763 .................
[CV]  c1=0.38193236825186594, c2=0.014422404039197763, score=0.861876 -   1.4s
[CV] c1=0.7039888095440966, c2=0.02367984138529175 ...................
[CV]  c1=0.7039888095440966, c2=0.02367984138529175, score=0.713029 -   1.3s
[CV] c1=1.1694553748603354, c2=0.07196181572776382 ...................
[CV]  c1=1.1694553748603354, c2=0.07196181572776382, score=0.705052 -   1.5s
[CV] c1=0.5442782152639611, c2=0.007371714921940245 ..................
[CV]  c1=0.5442782152639611, c2=0.007371714921940245, score=0.755031 -   1.3s
[CV] c1=0.37296990035504235, c2=0.029901232631360703 .................
[CV]  c1=0.37296990035504235, c2=0.029901232631360703, score=0.754473 -   1.6s
[CV] c1=0.07371577220650673, c2=0.08645080245694685 ..................
[CV]  c1=0.07371577220650673, c2=0.08645080245694685, score=0.866895 -   1.6s
[CV] c1=0.27748057448212504, c2=0.30479822354734076 ..................
[CV]  c1=0.27748057448212504, c2=0.30479822354734076, score=0.759655 -   1.2s
[CV] c1=1.0938101336499273, c2=0.012964727710244317 ..................
[CV]  c1=1.0938101336499273, c2=0.012964727710244317, score=0.709910 -   1.6s
[CV] c1=0.754279653045439, c2=0.06564722744722086 ....................
[CV]  c1=0.754279653045439, c2=0.06564722744722086, score=0.688791 -   1.6s
[CV] c1=0.4972137184554801, c2=0.05879188397865326 ...................
[CV]  c1=0.4972137184554801, c2=0.05879188397865326, score=0.827609 -   1.4s
[CV] c1=0.8661765385381127, c2=0.0646002554499348 ....................
[CV]  c1=0.8661765385381127, c2=0.0646002554499348, score=0.724784 -   1.3s
[CV] c1=3.795239394977131, c2=0.03421074538531201 ....................
[CV]  c1=3.795239394977131, c2=0.03421074538531201, score=0.622842 -   1.6s
[CV] c1=1.5415551747423224, c2=0.01121098456014398 ...................
[CV]  c1=1.5415551747423224, c2=0.01121098456014398, score=0.744495 -   1.5s
[CV] c1=0.5894224307955791, c2=0.009331211050305805 ..................
[CV]  c1=0.5894224307955791, c2=0.009331211050305805, score=0.811984 -   1.3s
[CV] c1=0.07597333679343841, c2=0.17634775767431377 ..................
[CV]  c1=0.07597333679343841, c2=0.17634775767431377, score=0.861079 -   1.5s
[CV] c1=0.9313578357953661, c2=0.05211551258131869 ...................
[CV]  c1=0.9313578357953661, c2=0.05211551258131869, score=0.868822 -   1.5s
[CV] c1=0.036871903967088615, c2=0.008186003069095072 ................
[CV]  c1=0.036871903967088615, c2=0.008186003069095072, score=0.827170 -   1.3s
[CV] c1=0.5288043210928465, c2=0.04133887611629999 ...................
[CV]  c1=0.5288043210928465, c2=0.04133887611629999, score=0.848605 -   1.7s
[CV] c1=0.6521896810726856, c2=0.11971583009651464 ...................
[CV]  c1=0.6521896810726856, c2=0.11971583009651464, score=0.801316 -   1.6s
[CV] c1=0.2762341374490217, c2=0.11037792022285285 ...................
[CV]  c1=0.2762341374490217, c2=0.11037792022285285, score=0.851989 -   1.7s
[CV] c1=0.11028592011184567, c2=0.0007399161589858334 ................
[CV]  c1=0.11028592011184567, c2=0.0007399161589858334, score=0.859174 -   1.6s
[CV] c1=0.3980488101075794, c2=0.08603960933814483 ...................
[CV]  c1=0.3980488101075794, c2=0.08603960933814483, score=0.901937 -   1.5s
[CV] c1=0.05547188709589734, c2=0.008803732634461783 .................
[CV]  c1=0.05547188709589734, c2=0.008803732634461783, score=0.834160 -   1.7s
[CV] c1=0.13079873718357454, c2=0.025147514229124812 .................
[CV]  c1=0.13079873718357454, c2=0.025147514229124812, score=0.893106 -   1.6s
[CV] c1=0.36608496959636694, c2=0.06293452712979147 ..................
[CV]  c1=0.36608496959636694, c2=0.06293452712979147, score=0.859573 -   1.5s
[CV] c1=0.5720232287471745, c2=0.24102373244895148 ...................
[CV]  c1=0.5720232287471745, c2=0.24102373244895148, score=0.799940 -   1.6s
[CV] c1=0.20647776006720245, c2=0.1651634684748067 ...................
[CV]  c1=0.20647776006720245, c2=0.1651634684748067, score=0.779659 -   1.3s
[CV] c1=0.9313578357953661, c2=0.05211551258131869 ...................
[CV]  c1=0.9313578357953661, c2=0.05211551258131869, score=0.724412 -   1.3s
[CV] c1=0.11464928895858892, c2=0.026870494230894056 .................
[CV]  c1=0.11464928895858892, c2=0.026870494230894056, score=0.799250 -   1.3s
[CV] c1=0.5288043210928465, c2=0.04133887611629999 ...................
[CV]  c1=0.5288043210928465, c2=0.04133887611629999, score=0.889378 -   1.5s
[CV] c1=0.9176030830894092, c2=0.009827138128253893 ..................
[CV]  c1=0.9176030830894092, c2=0.009827138128253893, score=0.877427 -   1.5s
[CV] c1=0.27748057448212504, c2=0.30479822354734076 ..................
[CV]  c1=0.27748057448212504, c2=0.30479822354734076, score=0.859366 -   1.5s
[CV] c1=0.10476042588836011, c2=0.00930575909089972 ..................
[CV]  c1=0.10476042588836011, c2=0.00930575909089972, score=0.861876 -   1.5s
[CV] c1=0.754279653045439, c2=0.06564722744722086 ....................
[CV]  c1=0.754279653045439, c2=0.06564722744722086, score=0.795523 -   1.5s
[CV] c1=0.4972137184554801, c2=0.05879188397865326 ...................
[CV]  c1=0.4972137184554801, c2=0.05879188397865326, score=0.722084 -   1.6s
[CV] c1=0.8661765385381127, c2=0.0646002554499348 ....................
[CV]  c1=0.8661765385381127, c2=0.0646002554499348, score=0.839295 -   1.5s
[CV] c1=1.1201445414258706, c2=0.07547821707009933 ...................
[CV]  c1=1.1201445414258706, c2=0.07547821707009933, score=0.869776 -   1.5s
[CV] c1=0.22440785852759237, c2=0.016062353823248266 .................
[CV]  c1=0.22440785852759237, c2=0.016062353823248266, score=0.905038 -   1.5s
[CV] c1=0.31065979765433943, c2=0.0004355336122121815 ................
[CV]  c1=0.31065979765433943, c2=0.0004355336122121815, score=0.799010 -   1.1s
[CV] c1=0.7039888095440966, c2=0.02367984138529175 ...................
[CV]  c1=0.7039888095440966, c2=0.02367984138529175, score=0.758062 -   1.0s
[CV] c1=1.1694553748603354, c2=0.07196181572776382 ...................
[CV]  c1=1.1694553748603354, c2=0.07196181572776382, score=0.861011 -   1.5s
[CV] c1=1.2089443684310925, c2=0.030728974543504317 ..................
[CV]  c1=1.2089443684310925, c2=0.030728974543504317, score=0.689243 -   1.4s
[CV] c1=0.855364048827348, c2=0.04949542866629896 ....................
[CV]  c1=0.855364048827348, c2=0.04949542866629896, score=0.884164 -   1.6s
[CV] c1=0.48671106984183493, c2=0.0891410221613525 ...................
[CV]  c1=0.48671106984183493, c2=0.0891410221613525, score=0.849206 -   1.7s
[CV] c1=3.73270020860784, c2=0.049977244261277316 ....................
[CV]  c1=3.73270020860784, c2=0.049977244261277316, score=0.511436 -   1.7s
[CV] c1=0.04974380998330405, c2=0.010384511794905698 .................
[CV]  c1=0.04974380998330405, c2=0.010384511794905698, score=0.884952 -   1.7s
[CV] c1=0.01770111914089239, c2=0.007847899285222398 .................
[CV]  c1=0.01770111914089239, c2=0.007847899285222398, score=0.831207 -   1.7s
[CV] c1=0.28242097900808394, c2=0.04779067795694033 ..................
[CV]  c1=0.28242097900808394, c2=0.04779067795694033, score=0.770845 -   1.9s
[CV] c1=0.27185068684501934, c2=0.1857117058813783 ...................
[CV]  c1=0.27185068684501934, c2=0.1857117058813783, score=0.755081 -   1.6s
[CV] c1=0.21602873184258475, c2=0.0056630876510271565 ................
[CV]  c1=0.21602873184258475, c2=0.0056630876510271565, score=0.903572 -   1.6s
[CV] c1=0.5720232287471745, c2=0.24102373244895148 ...................
[CV]  c1=0.5720232287471745, c2=0.24102373244895148, score=0.686206 -   1.7s
[CV] c1=0.31266641356383196, c2=0.011489830304812421 .................
[CV]  c1=0.31266641356383196, c2=0.011489830304812421, score=0.907255 -   1.7s
[CV] c1=0.4588560497606252, c2=0.018703714693081002 ..................
[CV]  c1=0.4588560497606252, c2=0.018703714693081002, score=0.870482 -   1.5s
[CV] c1=0.04607823163068775, c2=0.04048941023960249 ..................
[CV]  c1=0.04607823163068775, c2=0.04048941023960249, score=0.885365 -   1.6s
[CV] c1=0.4109176687926981, c2=0.0023303934572670736 .................
[CV]  c1=0.4109176687926981, c2=0.0023303934572670736, score=0.756809 -   1.7s
[CV] c1=0.22221218690992597, c2=0.030465011159691247 .................
[CV]  c1=0.22221218690992597, c2=0.030465011159691247, score=0.799987 -   1.3s
[CV] c1=2.437647687785342, c2=0.041067493505513204 ...................
[CV]  c1=2.437647687785342, c2=0.041067493505513204, score=0.554073 -   1.6s
[CV] c1=0.5682561230428169, c2=0.019317830190707375 ..................
[CV]  c1=0.5682561230428169, c2=0.019317830190707375, score=0.737001 -   1.8s
[CV] c1=1.0201476136709393, c2=0.017381712165708236 ..................
[CV]  c1=1.0201476136709393, c2=0.017381712165708236, score=0.705157 -   1.2s
[CV] c1=0.5338564708313156, c2=0.04213412424403418 ...................
[CV]  c1=0.5338564708313156, c2=0.04213412424403418, score=0.887241 -   1.5s
[CV] c1=0.5071794004317602, c2=0.03573591142773304 ...................
[CV]  c1=0.5071794004317602, c2=0.03573591142773304, score=0.896037 -   1.6s
[CV] c1=0.33629684505432544, c2=0.028155186249169253 .................
[CV]  c1=0.33629684505432544, c2=0.028155186249169253, score=0.788112 -   1.6s
[CV] c1=0.5894224307955791, c2=0.009331211050305805 ..................
[CV]  c1=0.5894224307955791, c2=0.009331211050305805, score=0.891241 -   1.5s
[CV] c1=0.20692321085077717, c2=0.0314225304357574 ...................
[CV]  c1=0.20692321085077717, c2=0.0314225304357574, score=0.832472 -   1.6s
[CV] c1=0.11995784672990904, c2=0.09988016775240977 ..................
[CV]  c1=0.11995784672990904, c2=0.09988016775240977, score=0.876044 -   1.7s
[CV] c1=0.37296990035504235, c2=0.029901232631360703 .................
[CV]  c1=0.37296990035504235, c2=0.029901232631360703, score=0.807648 -   1.2s
[CV] c1=0.25599149990590053, c2=0.0072339492832769 ...................
[CV]  c1=0.25599149990590053, c2=0.0072339492832769, score=0.848936 -   1.6s
[CV] c1=1.1837098765696514, c2=0.1343207518595306 ....................
[CV]  c1=1.1837098765696514, c2=0.1343207518595306, score=0.704895 -   1.3s
[CV] c1=0.15651242850680058, c2=0.061848514011081684 .................
[CV]  c1=0.15651242850680058, c2=0.061848514011081684, score=0.841377 -   1.7s
[CV] c1=0.21375610478456608, c2=0.022542684440435362 .................
[CV]  c1=0.21375610478456608, c2=0.022542684440435362, score=0.908131 -   1.6s
[CV] c1=1.1984049147054157, c2=0.004500977415521401 ..................
[CV]  c1=1.1984049147054157, c2=0.004500977415521401, score=0.709910 -   1.6s
[CV] c1=1.0473750104774435, c2=0.0035656315799880672 .................
[CV]  c1=1.0473750104774435, c2=0.0035656315799880672, score=0.697963 -   1.6s
[CV] c1=0.03958871857560305, c2=0.10505947706171177 ..................
[CV]  c1=0.03958871857560305, c2=0.10505947706171177, score=0.883272 -   1.5s
[CV] c1=0.5951895821481493, c2=0.10058612714949343 ...................
[CV]  c1=0.5951895821481493, c2=0.10058612714949343, score=0.700284 -   1.7s
[CV] c1=0.31065979765433943, c2=0.0004355336122121815 ................
[CV]  c1=0.31065979765433943, c2=0.0004355336122121815, score=0.902926 -   1.1s
[CV] c1=0.20647776006720245, c2=0.1651634684748067 ...................
[CV]  c1=0.20647776006720245, c2=0.1651634684748067, score=0.810247 -   1.6s
[CV] c1=0.49782097911058826, c2=0.05362166860334684 ..................
[CV]  c1=0.49782097911058826, c2=0.05362166860334684, score=0.725951 -   1.5s
[CV] c1=0.04607823163068775, c2=0.04048941023960249 ..................
[CV]  c1=0.04607823163068775, c2=0.04048941023960249, score=0.799708 -   1.5s
[CV] c1=0.4109176687926981, c2=0.0023303934572670736 .................
[CV]  c1=0.4109176687926981, c2=0.0023303934572670736, score=0.849701 -   1.6s
[CV] c1=0.22221218690992597, c2=0.030465011159691247 .................
[CV]  c1=0.22221218690992597, c2=0.030465011159691247, score=0.788709 -   1.6s
[CV] c1=1.0938101336499273, c2=0.012964727710244317 ..................
[CV]  c1=1.0938101336499273, c2=0.012964727710244317, score=0.879172 -   1.6s
[CV] c1=0.21375610478456608, c2=0.022542684440435362 .................
[CV]  c1=0.21375610478456608, c2=0.022542684440435362, score=0.788968 -   1.6s
[CV] c1=1.0201476136709393, c2=0.017381712165708236 ..................
[CV]  c1=1.0201476136709393, c2=0.017381712165708236, score=0.732409 -   1.5s
[CV] c1=0.8661765385381127, c2=0.0646002554499348 ....................
[CV]  c1=0.8661765385381127, c2=0.0646002554499348, score=0.886412 -   1.5s
[CV] c1=0.03958871857560305, c2=0.10505947706171177 ..................
[CV]  c1=0.03958871857560305, c2=0.10505947706171177, score=0.744457 -   1.2s
[CV] c1=0.33629684505432544, c2=0.028155186249169253 .................
[CV]  c1=0.33629684505432544, c2=0.028155186249169253, score=0.855357 -   1.6s
[CV] c1=0.5894224307955791, c2=0.009331211050305805 ..................
[CV]  c1=0.5894224307955791, c2=0.009331211050305805, score=0.732284 -   1.5s
[CV] c1=0.1559243101686797, c2=0.13206257547364258 ...................
[CV]  c1=0.1559243101686797, c2=0.13206257547364258, score=0.870917 -   1.5s
[CV] c1=0.20810261082009396, c2=0.04772008752714069 ..................
[CV]  c1=0.20810261082009396, c2=0.04772008752714069, score=0.841377 -   1.7s
[CV] c1=0.855364048827348, c2=0.04949542866629896 ....................
[CV]  c1=0.855364048827348, c2=0.04949542866629896, score=0.813595 -   1.4s
[CV] c1=0.48671106984183493, c2=0.0891410221613525 ...................
[CV]  c1=0.48671106984183493, c2=0.0891410221613525, score=0.865614 -   1.7s
[CV] c1=1.1837098765696514, c2=0.1343207518595306 ....................
[CV]  c1=1.1837098765696514, c2=0.1343207518595306, score=0.666922 -   1.6s
[CV] c1=0.10476042588836011, c2=0.00930575909089972 ..................
[CV]  c1=0.10476042588836011, c2=0.00930575909089972, score=0.799549 -   1.6s
[CV] c1=0.754279653045439, c2=0.06564722744722086 ....................
[CV]  c1=0.754279653045439, c2=0.06564722744722086, score=0.780183 -   1.6s
[CV] c1=0.23306719484507119, c2=0.011144182742650433 .................
[CV]  c1=0.23306719484507119, c2=0.011144182742650433, score=0.902926 -   1.5s
[CV] c1=1.091861996110695, c2=0.11836381944129111 ....................
[CV]  c1=1.091861996110695, c2=0.11836381944129111, score=0.861038 -   1.5s
[CV] c1=1.1201445414258706, c2=0.07547821707009933 ...................
[CV]  c1=1.1201445414258706, c2=0.07547821707009933, score=0.727416 -   1.3s
[CV] c1=0.5951895821481493, c2=0.10058612714949343 ...................
[CV]  c1=0.5951895821481493, c2=0.10058612714949343, score=0.890795 -   1.5s
[CV] c1=0.5894224307955791, c2=0.009331211050305805 ..................
[CV]  c1=0.5894224307955791, c2=0.009331211050305805, score=0.834785 -   1.5s
[CV] c1=0.7039888095440966, c2=0.02367984138529175 ...................
[CV]  c1=0.7039888095440966, c2=0.02367984138529175, score=0.877936 -   1.3s
[CV] c1=1.1694553748603354, c2=0.07196181572776382 ...................
[CV]  c1=1.1694553748603354, c2=0.07196181572776382, score=0.629789 -   1.6s
[CV] c1=0.5442782152639611, c2=0.007371714921940245 ..................
[CV]  c1=0.5442782152639611, c2=0.007371714921940245, score=0.901937 -   1.7s
[CV] c1=0.5288043210928465, c2=0.04133887611629999 ...................
[CV]  c1=0.5288043210928465, c2=0.04133887611629999, score=0.793542 -   1.3s
[CV] c1=0.07371577220650673, c2=0.08645080245694685 ..................
[CV]  c1=0.07371577220650673, c2=0.08645080245694685, score=0.797231 -   1.6s
[CV] c1=3.73270020860784, c2=0.049977244261277316 ....................
[CV]  c1=3.73270020860784, c2=0.049977244261277316, score=0.456338 -   1.7s
[CV] c1=0.04974380998330405, c2=0.010384511794905698 .................
[CV]  c1=0.04974380998330405, c2=0.010384511794905698, score=0.819069 -   1.2s
[CV] c1=0.754279653045439, c2=0.06564722744722086 ....................
[CV]  c1=0.754279653045439, c2=0.06564722744722086, score=0.724085 -   1.2s
[CV] c1=1.1984049147054157, c2=0.004500977415521401 ..................
[CV]  c1=1.1984049147054157, c2=0.004500977415521401, score=0.638702 -   1.6s
[CV] c1=1.0473750104774435, c2=0.0035656315799880672 .................
[CV]  c1=1.0473750104774435, c2=0.0035656315799880672, score=0.877729 -   1.5s
[CV] c1=0.5071794004317602, c2=0.03573591142773304 ...................
[CV]  c1=0.5071794004317602, c2=0.03573591142773304, score=0.848605 -   1.6s
[CV] c1=1.5415551747423224, c2=0.01121098456014398 ...................
[CV]  c1=1.5415551747423224, c2=0.01121098456014398, score=0.640586 -   1.6s
[CV] c1=0.05047824115262361, c2=0.003358856792852357 .................
[CV]  c1=0.05047824115262361, c2=0.003358856792852357, score=0.889268 -   1.4s
[CV] c1=0.31266641356383196, c2=0.011489830304812421 .................
[CV]  c1=0.31266641356383196, c2=0.011489830304812421, score=0.782724 -   1.5s
[CV] c1=0.9313578357953661, c2=0.05211551258131869 ...................
[CV]  c1=0.9313578357953661, c2=0.05211551258131869, score=0.772776 -   1.6s
[CV] c1=0.03273319890906725, c2=0.05401067550030697 ..................
[CV]  c1=0.03273319890906725, c2=0.05401067550030697, score=0.862046 -   1.5s
[CV] c1=1.4100377078004322, c2=0.011231114003042865 ..................
[CV]  c1=1.4100377078004322, c2=0.011231114003042865, score=0.699331 -   1.5s
[CV] c1=0.49905623042889996, c2=0.22246904700973863 ..................
[CV]  c1=0.49905623042889996, c2=0.22246904700973863, score=0.804870 -   1.6s
[CV] c1=0.15651242850680058, c2=0.061848514011081684 .................
[CV]  c1=0.15651242850680058, c2=0.061848514011081684, score=0.791300 -   1.6s
[CV] c1=0.4036856566270474, c2=0.041989110490490276 ..................
[CV]  c1=0.4036856566270474, c2=0.041989110490490276, score=0.886719 -   1.6s
[CV] c1=1.1984049147054157, c2=0.004500977415521401 ..................
[CV]  c1=1.1984049147054157, c2=0.004500977415521401, score=0.723085 -   1.3s
[CV] c1=1.3634227940666634, c2=0.10125616586491182 ...................
[CV]  c1=1.3634227940666634, c2=0.10125616586491182, score=0.607768 -   1.6s
[CV] c1=0.13079873718357454, c2=0.025147514229124812 .................
[CV]  c1=0.13079873718357454, c2=0.025147514229124812, score=0.797318 -   1.5s
[CV] c1=0.33629684505432544, c2=0.028155186249169253 .................
[CV]  c1=0.33629684505432544, c2=0.028155186249169253, score=0.910171 -   1.6s
[CV] c1=0.38193236825186594, c2=0.014422404039197763 .................
[CV]  c1=0.38193236825186594, c2=0.014422404039197763, score=0.758545 -   1.5s
[CV] c1=0.31266641356383196, c2=0.011489830304812421 .................
[CV]  c1=0.31266641356383196, c2=0.011489830304812421, score=0.863174 -   1.6s
[CV] c1=0.4588560497606252, c2=0.018703714693081002 ..................
[CV]  c1=0.4588560497606252, c2=0.018703714693081002, score=0.790954 -   1.1s
[CV] c1=0.11464928895858892, c2=0.026870494230894056 .................
[CV]  c1=0.11464928895858892, c2=0.026870494230894056, score=0.885341 -   1.6s
[CV] c1=0.42784761356868645, c2=0.017395966937559782 .................
[CV]  c1=0.42784761356868645, c2=0.017395966937559782, score=0.811738 -   1.3s
[CV] c1=0.9176030830894092, c2=0.009827138128253893 ..................
[CV]  c1=0.9176030830894092, c2=0.009827138128253893, score=0.727589 -   1.2s
[CV] c1=1.1837098765696514, c2=0.1343207518595306 ....................
[CV]  c1=1.1837098765696514, c2=0.1343207518595306, score=0.758501 -   1.5s
[CV] c1=0.10476042588836011, c2=0.00930575909089972 ..................
[CV]  c1=0.10476042588836011, c2=0.00930575909089972, score=0.883866 -   1.5s
[CV] c1=0.754279653045439, c2=0.06564722744722086 ....................
[CV]  c1=0.754279653045439, c2=0.06564722744722086, score=0.880380 -   1.5s
[CV] c1=0.4972137184554801, c2=0.05879188397865326 ...................
[CV]  c1=0.4972137184554801, c2=0.05879188397865326, score=0.797123 -   1.3s
[CV] c1=0.5338564708313156, c2=0.04213412424403418 ...................
[CV]  c1=0.5338564708313156, c2=0.04213412424403418, score=0.848605 -   1.7s
[CV] c1=3.795239394977131, c2=0.03421074538531201 ....................
[CV]  c1=3.795239394977131, c2=0.03421074538531201, score=0.554983 -   1.5s
[CV] c1=1.5415551747423224, c2=0.01121098456014398 ...................
[CV]  c1=1.5415551747423224, c2=0.01121098456014398, score=0.632125 -   1.7s
[CV] c1=0.05047824115262361, c2=0.003358856792852357 .................
[CV]  c1=0.05047824115262361, c2=0.003358856792852357, score=0.812464 -   1.3s
[CV] c1=0.1559243101686797, c2=0.13206257547364258 ...................
[CV]  c1=0.1559243101686797, c2=0.13206257547364258, score=0.863907 -   1.5s
[CV] c1=0.49782097911058826, c2=0.05362166860334684 ..................
[CV]  c1=0.49782097911058826, c2=0.05362166860334684, score=0.885128 -   1.6s
[CV] c1=0.3694781093986277, c2=0.04130517713771656 ...................
[CV]  c1=0.3694781093986277, c2=0.04130517713771656, score=0.773317 -   1.7s
[CV] c1=0.48671106984183493, c2=0.0891410221613525 ...................
[CV]  c1=0.48671106984183493, c2=0.0891410221613525, score=0.726644 -   1.7s
[CV] c1=3.73270020860784, c2=0.049977244261277316 ....................
[CV]  c1=3.73270020860784, c2=0.049977244261277316, score=0.525468 -   1.2s
[CV] c1=1.6446456780310865, c2=0.030827136148052676 ..................
[CV]  c1=1.6446456780310865, c2=0.030827136148052676, score=0.606713 -   1.5s
[CV] c1=0.4036856566270474, c2=0.041989110490490276 ..................
[CV]  c1=0.4036856566270474, c2=0.041989110490490276, score=0.867699 -   1.6s
[CV] c1=1.1984049147054157, c2=0.004500977415521401 ..................
[CV]  c1=1.1984049147054157, c2=0.004500977415521401, score=0.749816 -   1.4s
[CV] c1=0.5338564708313156, c2=0.04213412424403418 ...................
[CV]  c1=0.5338564708313156, c2=0.04213412424403418, score=0.809429 -   1.7s
[CV] c1=3.795239394977131, c2=0.03421074538531201 ....................
[CV]  c1=3.795239394977131, c2=0.03421074538531201, score=0.445492 -   1.6s
[CV] c1=0.5951895821481493, c2=0.10058612714949343 ...................
[CV]  c1=0.5951895821481493, c2=0.10058612714949343, score=0.801316 -   1.5s
[CV] c1=0.05047824115262361, c2=0.003358856792852357 .................
[CV]  c1=0.05047824115262361, c2=0.003358856792852357, score=0.856686 -   1.4s
[CV] c1=0.20692321085077717, c2=0.0314225304357574 ...................
[CV]  c1=0.20692321085077717, c2=0.0314225304357574, score=0.780668 -   1.3s
[CV] c1=0.49782097911058826, c2=0.05362166860334684 ..................
[CV]  c1=0.49782097911058826, c2=0.05362166860334684, score=0.796854 -   1.2s
[CV] c1=0.036871903967088615, c2=0.008186003069095072 ................
[CV]  c1=0.036871903967088615, c2=0.008186003069095072, score=0.833989 -   1.6s
[CV] c1=1.4100377078004322, c2=0.011231114003042865 ..................
[CV]  c1=1.4100377078004322, c2=0.011231114003042865, score=0.685363 -   1.3s
[CV] c1=0.6521896810726856, c2=0.11971583009651464 ...................
[CV]  c1=0.6521896810726856, c2=0.11971583009651464, score=0.740787 -   1.2s
[CV] c1=0.27748057448212504, c2=0.30479822354734076 ..................
[CV]  c1=0.27748057448212504, c2=0.30479822354734076, score=0.701501 -   1.6s
[CV] c1=0.04974380998330405, c2=0.010384511794905698 .................
[CV]  c1=0.04974380998330405, c2=0.010384511794905698, score=0.799708 -   1.5s
[CV] c1=0.01770111914089239, c2=0.007847899285222398 .................
[CV]  c1=0.01770111914089239, c2=0.007847899285222398, score=0.826720 -   1.2s
[CV] c1=0.4972137184554801, c2=0.05879188397865326 ...................
[CV]  c1=0.4972137184554801, c2=0.05879188397865326, score=0.891573 -   1.6s
[CV] c1=0.8661765385381127, c2=0.0646002554499348 ....................
[CV]  c1=0.8661765385381127, c2=0.0646002554499348, score=0.679634 -   1.6s
[CV] c1=0.03958871857560305, c2=0.10505947706171177 ..................
[CV]  c1=0.03958871857560305, c2=0.10505947706171177, score=0.822758 -   1.5s
[CV] c1=0.5951895821481493, c2=0.10058612714949343 ...................
[CV]  c1=0.5951895821481493, c2=0.10058612714949343, score=0.851864 -   1.6s
[CV] c1=0.31065979765433943, c2=0.0004355336122121815 ................
[CV]  c1=0.31065979765433943, c2=0.0004355336122121815, score=0.787020 -   1.2s
[CV] c1=0.13698376994914155, c2=0.0033498876741816018 ................
[CV]  c1=0.13698376994914155, c2=0.0033498876741816018, score=0.790373 -   1.0s
[CV] c1=1.1694553748603354, c2=0.07196181572776382 ...................
[CV]  c1=1.1694553748603354, c2=0.07196181572776382, score=0.726024 -   1.2s
[CV] c1=0.11995784672990904, c2=0.09988016775240977 ..................
[CV]  c1=0.11995784672990904, c2=0.09988016775240977, score=0.890545 -   1.6s
[CV] c1=0.855364048827348, c2=0.04949542866629896 ....................
[CV]  c1=0.855364048827348, c2=0.04949542866629896, score=0.725799 -   1.3s
[CV] c1=0.25599149990590053, c2=0.0072339492832769 ...................
[CV]  c1=0.25599149990590053, c2=0.0072339492832769, score=0.780391 -   1.6s
[CV] c1=0.22221218690992597, c2=0.030465011159691247 .................
[CV]  c1=0.22221218690992597, c2=0.030465011159691247, score=0.799368 -   1.7s
[CV] c1=1.0938101336499273, c2=0.012964727710244317 ..................
[CV]  c1=1.0938101336499273, c2=0.012964727710244317, score=0.666667 -   1.6s
[CV] c1=0.21375610478456608, c2=0.022542684440435362 .................
[CV]  c1=0.21375610478456608, c2=0.022542684440435362, score=0.808395 -   1.7s
[CV] c1=0.4972137184554801, c2=0.05879188397865326 ...................
[CV]  c1=0.4972137184554801, c2=0.05879188397865326, score=0.856888 -   1.6s
[CV] c1=1.091861996110695, c2=0.11836381944129111 ....................
[CV]  c1=1.091861996110695, c2=0.11836381944129111, score=0.736287 -   1.3s
[CV] c1=0.03958871857560305, c2=0.10505947706171177 ..................
[CV]  c1=0.03958871857560305, c2=0.10505947706171177, score=0.786881 -   1.7s
[CV] c1=0.22440785852759237, c2=0.016062353823248266 .................
[CV]  c1=0.22440785852759237, c2=0.016062353823248266, score=0.786377 -   1.7s
[CV] c1=3.553609317435871, c2=0.03672651647603461 ....................
[CV]  c1=3.553609317435871, c2=0.03672651647603461, score=0.552069 -   1.1s
[CV] c1=0.31266641356383196, c2=0.011489830304812421 .................
[CV]  c1=0.31266641356383196, c2=0.011489830304812421, score=0.804662 -   1.3s
[CV] c1=0.14334379595964497, c2=0.10016830449855577 ..................
[CV]  c1=0.14334379595964497, c2=0.10016830449855577, score=0.772373 -   1.5s
[CV] c1=0.036871903967088615, c2=0.008186003069095072 ................
[CV]  c1=0.036871903967088615, c2=0.008186003069095072, score=0.885484 -   1.5s
[CV] c1=0.2338848236341942, c2=0.005238742140736285 ..................
[CV]  c1=0.2338848236341942, c2=0.005238742140736285, score=0.813319 -   1.3s
[CV] c1=0.9176030830894092, c2=0.009827138128253893 ..................
[CV]  c1=0.9176030830894092, c2=0.009827138128253893, score=0.734520 -   1.6s
[CV] c1=0.2762341374490217, c2=0.11037792022285285 ...................
[CV]  c1=0.2762341374490217, c2=0.11037792022285285, score=0.776754 -   1.7s
[CV] c1=0.11028592011184567, c2=0.0007399161589858334 ................
[CV]  c1=0.11028592011184567, c2=0.0007399161589858334, score=0.888328 -   1.5s
[CV] c1=0.09768600746969396, c2=0.009111850177943793 .................
[CV]  c1=0.09768600746969396, c2=0.009111850177943793, score=0.887452 -   1.5s
[CV] c1=0.05547188709589734, c2=0.008803732634461783 .................
[CV]  c1=0.05547188709589734, c2=0.008803732634461783, score=0.795765 -   1.3s
[CV] c1=3.313721442788157, c2=0.07529909731851507 ....................
[CV]  c1=3.313721442788157, c2=0.07529909731851507, score=0.551328 -   1.2s
[CV] c1=1.1201445414258706, c2=0.07547821707009933 ...................
[CV]  c1=1.1201445414258706, c2=0.07547821707009933, score=0.634615 -   1.6s
[CV] c1=0.22440785852759237, c2=0.016062353823248266 .................
[CV]  c1=0.22440785852759237, c2=0.016062353823248266, score=0.861876 -   1.5s
[CV] c1=0.31065979765433943, c2=0.0004355336122121815 ................
[CV]  c1=0.31065979765433943, c2=0.0004355336122121815, score=0.861876 -   1.2s
[CV] c1=0.7039888095440966, c2=0.02367984138529175 ...................
[CV]  c1=0.7039888095440966, c2=0.02367984138529175, score=0.801316 -   1.4s
[CV] c1=0.18372390327654844, c2=0.016571006403761843 .................
[CV]  c1=0.18372390327654844, c2=0.016571006403761843, score=0.800692 -   1.4s
[CV] c1=1.2089443684310925, c2=0.030728974543504317 ..................
[CV]  c1=1.2089443684310925, c2=0.030728974543504317, score=0.777612 -   1.5s
[CV] c1=0.37296990035504235, c2=0.029901232631360703 .................
[CV]  c1=0.37296990035504235, c2=0.029901232631360703, score=0.839967 -   1.5s
[CV] c1=0.07371577220650673, c2=0.08645080245694685 ..................
[CV]  c1=0.07371577220650673, c2=0.08645080245694685, score=0.862046 -   1.5s
[CV] c1=3.73270020860784, c2=0.049977244261277316 ....................
[CV]  c1=3.73270020860784, c2=0.049977244261277316, score=0.560813 -   1.7s
[CV] c1=0.10476042588836011, c2=0.00930575909089972 ..................
[CV]  c1=0.10476042588836011, c2=0.00930575909089972, score=0.840803 -   1.6s
[CV] c1=0.01770111914089239, c2=0.007847899285222398 .................
[CV]  c1=0.01770111914089239, c2=0.007847899285222398, score=0.818334 -   1.6s
[CV] c1=0.23306719484507119, c2=0.011144182742650433 .................
[CV]  c1=0.23306719484507119, c2=0.011144182742650433, score=0.861876 -   1.5s
[CV] c1=1.091861996110695, c2=0.11836381944129111 ....................
[CV]  c1=1.091861996110695, c2=0.11836381944129111, score=0.759268 -   1.5s
[CV] c1=1.1201445414258706, c2=0.07547821707009933 ...................
[CV]  c1=1.1201445414258706, c2=0.07547821707009933, score=0.721623 -   1.6s
[CV] c1=0.2239426674925752, c2=0.005221374467427303 ..................
[CV]  c1=0.2239426674925752, c2=0.005221374467427303, score=0.900259 -   1.5s
[CV] c1=3.553609317435871, c2=0.03672651647603461 ....................
[CV]  c1=3.553609317435871, c2=0.03672651647603461, score=0.647460 -   1.2s
[CV] c1=0.44496354032528385, c2=0.009152300764029045 .................
[CV]  c1=0.44496354032528385, c2=0.009152300764029045, score=0.759761 -   1.6s
[CV] c1=0.20810261082009396, c2=0.04772008752714069 ..................
[CV]  c1=0.20810261082009396, c2=0.04772008752714069, score=0.889951 -   1.5s
[CV] c1=0.3694781093986277, c2=0.04130517713771656 ...................
[CV]  c1=0.3694781093986277, c2=0.04130517713771656, score=0.812048 -   1.3s
[CV] c1=1.4100377078004322, c2=0.011231114003042865 ..................
[CV]  c1=1.4100377078004322, c2=0.011231114003042865, score=0.638341 -   1.5s
[CV] c1=0.24471693307526107, c2=0.0195282375714882 ...................
[CV]  c1=0.24471693307526107, c2=0.0195282375714882, score=0.881755 -   1.6s
[CV] c1=0.15651242850680058, c2=0.061848514011081684 .................
[CV]  c1=0.15651242850680058, c2=0.061848514011081684, score=0.801038 -   1.1s
[CV] c1=0.9656996934606252, c2=0.12908710268082335 ...................
[CV]  c1=0.9656996934606252, c2=0.12908710268082335, score=0.759268 -   1.4s
[CV] c1=0.8277709053377498, c2=0.059312343024638975 ..................
[CV]  c1=0.8277709053377498, c2=0.059312343024638975, score=0.734234 -   1.4s
[CV] c1=0.23306719484507119, c2=0.011144182742650433 .................
[CV]  c1=0.23306719484507119, c2=0.011144182742650433, score=0.826651 -   1.6s
[CV] c1=3.313721442788157, c2=0.07529909731851507 ....................
[CV]  c1=3.313721442788157, c2=0.07529909731851507, score=0.671745 -   1.5s
[CV] c1=1.1201445414258706, c2=0.07547821707009933 ...................
[CV]  c1=1.1201445414258706, c2=0.07547821707009933, score=0.669210 -   1.5s
[CV] c1=0.22440785852759237, c2=0.016062353823248266 .................
[CV]  c1=0.22440785852759237, c2=0.016062353823248266, score=0.841254 -   1.6s
[CV] c1=3.553609317435871, c2=0.03672651647603461 ....................
[CV]  c1=3.553609317435871, c2=0.03672651647603461, score=0.565206 -   1.2s
[CV] c1=0.1559243101686797, c2=0.13206257547364258 ...................
[CV]  c1=0.1559243101686797, c2=0.13206257547364258, score=0.899526 -   1.5s
[CV] c1=0.4588560497606252, c2=0.018703714693081002 ..................
[CV]  c1=0.4588560497606252, c2=0.018703714693081002, score=0.751239 -   1.5s
[CV] c1=0.03273319890906725, c2=0.05401067550030697 ..................
[CV]  c1=0.03273319890906725, c2=0.05401067550030697, score=0.827364 -   1.2s
[CV] c1=0.42784761356868645, c2=0.017395966937559782 .................
[CV]  c1=0.42784761356868645, c2=0.017395966937559782, score=0.850097 -   1.6s
[CV] c1=0.6521896810726856, c2=0.11971583009651464 ...................
[CV]  c1=0.6521896810726856, c2=0.11971583009651464, score=0.689670 -   1.7s
[CV] c1=0.3150188160850934, c2=0.03368547968552465 ...................
[CV]  c1=0.3150188160850934, c2=0.03368547968552465, score=0.918463 -   1.6s
[CV] c1=0.11028592011184567, c2=0.0007399161589858334 ................
[CV]  c1=0.11028592011184567, c2=0.0007399161589858334, score=0.790703 -   1.6s
[CV] c1=0.09768600746969396, c2=0.009111850177943793 .................
[CV]  c1=0.09768600746969396, c2=0.009111850177943793, score=0.854093 -   1.6s
[CV] c1=1.3634227940666634, c2=0.10125616586491182 ...................
[CV]  c1=1.3634227940666634, c2=0.10125616586491182, score=0.716528 -   1.4s
[CV] c1=3.313721442788157, c2=0.07529909731851507 ....................
[CV]  c1=3.313721442788157, c2=0.07529909731851507, score=0.659295 -   1.6s
[CV] c1=1.4504018307620512, c2=0.017090295183154563 ..................
[CV]  c1=1.4504018307620512, c2=0.017090295183154563, score=0.669676 -   1.3s
[CV] c1=0.2239426674925752, c2=0.005221374467427303 ..................
[CV]  c1=0.2239426674925752, c2=0.005221374467427303, score=0.788709 -   1.7s
[CV] c1=0.10154563875726311, c2=0.02329865994466339 ..................
[CV]  c1=0.10154563875726311, c2=0.02329865994466339, score=0.798241 -   1.0s
[CV] c1=0.07597333679343841, c2=0.17634775767431377 ..................
[CV]  c1=0.07597333679343841, c2=0.17634775767431377, score=0.892748 -   1.4s
[CV] c1=0.14334379595964497, c2=0.10016830449855577 ..................
[CV]  c1=0.14334379595964497, c2=0.10016830449855577, score=0.796943 -   1.2s
[CV] c1=1.2089443684310925, c2=0.030728974543504317 ..................
[CV]  c1=1.2089443684310925, c2=0.030728974543504317, score=0.680104 -   1.7s
[CV] c1=0.5288043210928465, c2=0.04133887611629999 ...................
[CV]  c1=0.5288043210928465, c2=0.04133887611629999, score=0.716662 -   1.8s
[CV] c1=0.6521896810726856, c2=0.11971583009651464 ...................
[CV]  c1=0.6521896810726856, c2=0.11971583009651464, score=0.822388 -   1.7s
[CV] c1=0.3150188160850934, c2=0.03368547968552465 ...................
[CV]  c1=0.3150188160850934, c2=0.03368547968552465, score=0.857318 -   1.5s
[CV] c1=0.11028592011184567, c2=0.0007399161589858334 ................
[CV]  c1=0.11028592011184567, c2=0.0007399161589858334, score=0.814768 -   1.3s
[CV] c1=0.8277709053377498, c2=0.059312343024638975 ..................
[CV]  c1=0.8277709053377498, c2=0.059312343024638975, score=0.880599 -   1.6s
[CV] c1=0.28242097900808394, c2=0.04779067795694033 ..................
[CV]  c1=0.28242097900808394, c2=0.04779067795694033, score=0.793195 -   1.3s
[CV] c1=1.091861996110695, c2=0.11836381944129111 ....................
[CV]  c1=1.091861996110695, c2=0.11836381944129111, score=0.625312 -   1.7s
[CV] c1=0.41689755918125526, c2=0.1381518731337264 ...................
[CV]  c1=0.41689755918125526, c2=0.1381518731337264, score=0.875250 -   1.6s
[CV] c1=0.2239426674925752, c2=0.005221374467427303 ..................
[CV]  c1=0.2239426674925752, c2=0.005221374467427303, score=0.797871 -   1.3s
[CV] c1=0.05047824115262361, c2=0.003358856792852357 .................
[CV]  c1=0.05047824115262361, c2=0.003358856792852357, score=0.808272 -   1.4s
[CV] c1=0.07597333679343841, c2=0.17634775767431377 ..................
[CV]  c1=0.07597333679343841, c2=0.17634775767431377, score=0.851065 -   1.4s
[CV] c1=0.14334379595964497, c2=0.10016830449855577 ..................
[CV]  c1=0.14334379595964497, c2=0.10016830449855577, score=0.862046 -   1.5s
[CV] c1=0.11464928895858892, c2=0.026870494230894056 .................
[CV]  c1=0.11464928895858892, c2=0.026870494230894056, score=0.840803 -   1.6s
[CV] c1=0.2338848236341942, c2=0.005238742140736285 ..................
[CV]  c1=0.2338848236341942, c2=0.005238742140736285, score=0.793149 -   1.6s
[CV] c1=0.7866613340969455, c2=0.06820092919287556 ...................
[CV]  c1=0.7866613340969455, c2=0.06820092919287556, score=0.785206 -   1.6s
[CV] c1=2.437647687785342, c2=0.041067493505513204 ...................
[CV]  c1=2.437647687785342, c2=0.041067493505513204, score=0.587861 -   1.6s
[CV] c1=0.543659442977964, c2=0.03547955112593467 ....................
[CV]  c1=0.543659442977964, c2=0.03547955112593467, score=0.885128 -   1.6s
[CV] c1=0.27405782206227736, c2=0.04255395809739044 ..................
[CV]  c1=0.27405782206227736, c2=0.04255395809739044, score=0.857318 -   1.5s
[CV] c1=0.7744925188929093, c2=0.06805225332405795 ...................
[CV]  c1=0.7744925188929093, c2=0.06805225332405795, score=0.701713 -   1.7s
[CV] c1=0.5071794004317602, c2=0.03573591142773304 ...................
[CV]  c1=0.5071794004317602, c2=0.03573591142773304, score=0.789526 -   1.2s
[CV] c1=0.21602873184258475, c2=0.0056630876510271565 ................
[CV]  c1=0.21602873184258475, c2=0.0056630876510271565, score=0.802802 -   1.2s
[CV] c1=0.08911877271197598, c2=0.006541804185186611 .................
[CV]  c1=0.08911877271197598, c2=0.006541804185186611, score=0.812918 -   1.2s
[CV] c1=0.31065979765433943, c2=0.0004355336122121815 ................
[CV]  c1=0.31065979765433943, c2=0.0004355336122121815, score=0.867002 -   1.3s
[CV] c1=0.20647776006720245, c2=0.1651634684748067 ...................
[CV]  c1=0.20647776006720245, c2=0.1651634684748067, score=0.861675 -   1.6s
[CV] c1=0.49782097911058826, c2=0.05362166860334684 ..................
[CV]  c1=0.49782097911058826, c2=0.05362166860334684, score=0.886374 -   1.5s
[CV] c1=0.04607823163068775, c2=0.04048941023960249 ..................
[CV]  c1=0.04607823163068775, c2=0.04048941023960249, score=0.838648 -   1.2s
[CV] c1=0.2338848236341942, c2=0.005238742140736285 ..................
[CV]  c1=0.2338848236341942, c2=0.005238742140736285, score=0.835119 -   1.6s
[CV] c1=0.49905623042889996, c2=0.22246904700973863 ..................
[CV]  c1=0.49905623042889996, c2=0.22246904700973863, score=0.686206 -   1.6s
[CV] c1=2.437647687785342, c2=0.041067493505513204 ...................
[CV]  c1=2.437647687785342, c2=0.041067493505513204, score=0.688976 -   1.6s
[CV] c1=0.5682561230428169, c2=0.019317830190707375 ..................
[CV]  c1=0.5682561230428169, c2=0.019317830190707375, score=0.893941 -   1.5s
[CV] c1=0.27405782206227736, c2=0.04255395809739044 ..................
[CV]  c1=0.27405782206227736, c2=0.04255395809739044, score=0.799174 -   1.2s
[CV] c1=0.05547188709589734, c2=0.008803732634461783 .................
[CV]  c1=0.05547188709589734, c2=0.008803732634461783, score=0.860188 -   1.5s
[CV] c1=0.06762730673650286, c2=0.024043993608793956 .................
[CV]  c1=0.06762730673650286, c2=0.024043993608793956, score=0.800635 -   1.3s
[CV] c1=0.41689755918125526, c2=0.1381518731337264 ...................
[CV]  c1=0.41689755918125526, c2=0.1381518731337264, score=0.711391 -   1.6s
[CV] c1=0.2239426674925752, c2=0.005221374467427303 ..................
[CV]  c1=0.2239426674925752, c2=0.005221374467427303, score=0.870192 -   1.6s
[CV] c1=0.10154563875726311, c2=0.02329865994466339 ..................
[CV]  c1=0.10154563875726311, c2=0.02329865994466339, score=0.878292 -   1.1s
[CV] c1=0.20692321085077717, c2=0.0314225304357574 ...................
[CV]  c1=0.20692321085077717, c2=0.0314225304357574, score=0.880562 -   1.5s
[CV] c1=0.11995784672990904, c2=0.09988016775240977 ..................
[CV]  c1=0.11995784672990904, c2=0.09988016775240977, score=0.811896 -   1.2s
[CV] c1=0.04607823163068775, c2=0.04048941023960249 ..................
[CV]  c1=0.04607823163068775, c2=0.04048941023960249, score=0.866444 -   1.6s
[CV] c1=0.25599149990590053, c2=0.0072339492832769 ...................
[CV]  c1=0.25599149990590053, c2=0.0072339492832769, score=0.777501 -   1.3s
[CV] c1=0.24471693307526107, c2=0.0195282375714882 ...................
[CV]  c1=0.24471693307526107, c2=0.0195282375714882, score=0.783017 -   1.3s
[CV] c1=0.3150188160850934, c2=0.03368547968552465 ...................
[CV]  c1=0.3150188160850934, c2=0.03368547968552465, score=0.810081 -   1.2s
[CV] c1=0.9656996934606252, c2=0.12908710268082335 ...................
[CV]  c1=0.9656996934606252, c2=0.12908710268082335, score=0.865588 -   1.6s
[CV] c1=0.8277709053377498, c2=0.059312343024638975 ..................
[CV]  c1=0.8277709053377498, c2=0.059312343024638975, score=0.801725 -   1.5s
[CV] c1=0.28242097900808394, c2=0.04779067795694033 ..................
[CV]  c1=0.28242097900808394, c2=0.04779067795694033, score=0.859573 -   1.8s
[CV] c1=0.06762730673650286, c2=0.024043993608793956 .................
[CV]  c1=0.06762730673650286, c2=0.024043993608793956, score=0.802140 -   1.5s
[CV] c1=1.4504018307620512, c2=0.017090295183154563 ..................
[CV]  c1=1.4504018307620512, c2=0.017090295183154563, score=0.619809 -   1.5s
[CV] c1=0.08911877271197598, c2=0.006541804185186611 .................
[CV]  c1=0.08911877271197598, c2=0.006541804185186611, score=0.862289 -   1.4s
[CV] c1=3.553609317435871, c2=0.03672651647603461 ....................
[CV]  c1=3.553609317435871, c2=0.03672651647603461, score=0.462289 -   1.1s
[CV] c1=0.20647776006720245, c2=0.1651634684748067 ...................
[CV]  c1=0.20647776006720245, c2=0.1651634684748067, score=0.890817 -   1.6s
[CV] c1=0.4588560497606252, c2=0.018703714693081002 ..................
[CV]  c1=0.4588560497606252, c2=0.018703714693081002, score=0.847842 -   1.6s
[CV] c1=0.04607823163068775, c2=0.04048941023960249 ..................
[CV]  c1=0.04607823163068775, c2=0.04048941023960249, score=0.858004 -   1.4s
[CV] c1=0.4109176687926981, c2=0.0023303934572670736 .................
[CV]  c1=0.4109176687926981, c2=0.0023303934572670736, score=0.766631 -   1.2s
[CV] c1=0.7866613340969455, c2=0.06820092919287556 ...................
[CV]  c1=0.7866613340969455, c2=0.06820092919287556, score=0.670898 -   1.6s
[CV] c1=0.3150188160850934, c2=0.03368547968552465 ...................
[CV]  c1=0.3150188160850934, c2=0.03368547968552465, score=0.835457 -   1.6s
[CV] c1=0.543659442977964, c2=0.03547955112593467 ....................
[CV]  c1=0.543659442977964, c2=0.03547955112593467, score=0.759937 -   1.3s
[CV] c1=0.09768600746969396, c2=0.009111850177943793 .................
[CV]  c1=0.09768600746969396, c2=0.009111850177943793, score=0.812918 -   1.3s
[CV] c1=0.28242097900808394, c2=0.04779067795694033 ..................
[CV]  c1=0.28242097900808394, c2=0.04779067795694033, score=0.916600 -   1.6s
[CV] c1=3.313721442788157, c2=0.07529909731851507 ....................
[CV]  c1=3.313721442788157, c2=0.07529909731851507, score=0.566464 -   1.6s
[CV] c1=0.41689755918125526, c2=0.1381518731337264 ...................
[CV]  c1=0.41689755918125526, c2=0.1381518731337264, score=0.845519 -   1.5s
[CV] c1=0.2239426674925752, c2=0.005221374467427303 ..................
[CV]  c1=0.2239426674925752, c2=0.005221374467427303, score=0.859573 -   1.5s
[CV] c1=3.553609317435871, c2=0.03672651647603461 ....................
[CV]  c1=3.553609317435871, c2=0.03672651647603461, score=0.634677 -   1.2s
[CV] c1=0.13698376994914155, c2=0.0033498876741816018 ................
[CV]  c1=0.13698376994914155, c2=0.0033498876741816018, score=0.868126 -   1.4s
[CV] c1=0.18372390327654844, c2=0.016571006403761843 .................
[CV]  c1=0.18372390327654844, c2=0.016571006403761843, score=0.835457 -   1.6s
[CV] c1=0.11464928895858892, c2=0.026870494230894056 .................
[CV]  c1=0.11464928895858892, c2=0.026870494230894056, score=0.799708 -   1.6s
[CV] c1=0.2338848236341942, c2=0.005238742140736285 ..................
[CV]  c1=0.2338848236341942, c2=0.005238742140736285, score=0.900259 -   1.5s
[CV] c1=0.7866613340969455, c2=0.06820092919287556 ...................
[CV]  c1=0.7866613340969455, c2=0.06820092919287556, score=0.881955 -   1.6s
[CV] c1=0.3150188160850934, c2=0.03368547968552465 ...................
[CV]  c1=0.3150188160850934, c2=0.03368547968552465, score=0.766132 -   1.6s
[CV] c1=0.543659442977964, c2=0.03547955112593467 ....................
[CV]  c1=0.543659442977964, c2=0.03547955112593467, score=0.891330 -   1.6s
[CV] c1=0.3980488101075794, c2=0.08603960933814483 ...................
[CV]  c1=0.3980488101075794, c2=0.08603960933814483, score=0.793256 -   1.3s
[CV] c1=0.05547188709589734, c2=0.008803732634461783 .................
[CV]  c1=0.05547188709589734, c2=0.008803732634461783, score=0.886794 -   1.6s
[CV] c1=0.06762730673650286, c2=0.024043993608793956 .................
[CV]  c1=0.06762730673650286, c2=0.024043993608793956, score=0.897717 -   1.6s
[CV] c1=1.4504018307620512, c2=0.017090295183154563 ..................
[CV]  c1=1.4504018307620512, c2=0.017090295183154563, score=0.675166 -   1.5s
[CV] c1=0.2490851282370403, c2=0.08687196083639509 ...................
[CV]  c1=0.2490851282370403, c2=0.08687196083639509, score=0.805208 -   1.3s
[CV] c1=0.10154563875726311, c2=0.02329865994466339 ..................
[CV]  c1=0.10154563875726311, c2=0.02329865994466339, score=0.799708 -   1.1s
[CV] c1=0.44496354032528385, c2=0.009152300764029045 .................
[CV]  c1=0.44496354032528385, c2=0.009152300764029045, score=0.792345 -   1.2s
[CV] c1=0.4588560497606252, c2=0.018703714693081002 ..................
[CV]  c1=0.4588560497606252, c2=0.018703714693081002, score=0.897991 -   1.4s
[CV] c1=0.036871903967088615, c2=0.008186003069095072 ................
[CV]  c1=0.036871903967088615, c2=0.008186003069095072, score=0.790400 -   1.6s
[CV] c1=1.4100377078004322, c2=0.011231114003042865 ..................
[CV]  c1=1.4100377078004322, c2=0.011231114003042865, score=0.867906 -   1.5s
[CV] c1=0.49905623042889996, c2=0.22246904700973863 ..................
[CV]  c1=0.49905623042889996, c2=0.22246904700973863, score=0.715159 -   1.3s
[CV] c1=0.2762341374490217, c2=0.11037792022285285 ...................
[CV]  c1=0.2762341374490217, c2=0.11037792022285285, score=0.860194 -   1.6s
[CV] c1=0.9656996934606252, c2=0.12908710268082335 ...................
[CV]  c1=0.9656996934606252, c2=0.12908710268082335, score=0.679244 -   1.6s
[CV] c1=0.09768600746969396, c2=0.009111850177943793 .................
[CV]  c1=0.09768600746969396, c2=0.009111850177943793, score=0.799708 -   1.6s
[CV] c1=1.3634227940666634, c2=0.10125616586491182 ...................
[CV]  c1=1.3634227940666634, c2=0.10125616586491182, score=0.838658 -   1.7s
[CV] c1=0.13079873718357454, c2=0.025147514229124812 .................
[CV]  c1=0.13079873718357454, c2=0.025147514229124812, score=0.796103 -   1.3s
[CV] c1=0.21602873184258475, c2=0.0056630876510271565 ................
[CV]  c1=0.21602873184258475, c2=0.0056630876510271565, score=0.788112 -   1.6s
[CV] c1=0.5720232287471745, c2=0.24102373244895148 ...................
[CV]  c1=0.5720232287471745, c2=0.24102373244895148, score=0.701831 -   1.2s
[CV] c1=0.10154563875726311, c2=0.02329865994466339 ..................
[CV]  c1=0.10154563875726311, c2=0.02329865994466339, score=0.841377 -   1.0s
Training done in: 21.860285s
     Saving training model...
        Saving training model done in: 0.013509s
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Prediction done in: 0.037452s