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

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Run16_v10.txt 73.3 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: Run16
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: 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: 0.003716s
-------------------------------- 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       word        :
12    isUpper    False
13    isLower    False
14    isGreek    False
15   isNumber    False
16    -1:word       in
17    +1:word       M9
18   -2:lemma  culture
19  -2:postag      VBN
20   +2:lemma  minimal
21  +2:postag       JJ
22     -1:ner        _
23     +1:ner      MED
24     -2:ner        _
25     +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       word  delta-arcA
13    isUpper       False
14    isLower       False
15    isGreek       False
16   isNumber       False
17    -1:word           _
18    +1:word           _
19   -2:lemma     affyexp
20  -2:postag          JJ
21   +2:lemma     glucose
22  +2:postag          NN
23     -1:ner           _
24     +1:ner           _
25     -2:ner           _
26     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.49737694210421823, c2=0.014226409124961748 .................
[CV]  c1=0.49737694210421823, c2=0.014226409124961748, score=0.906320 -   1.3s
[CV] c1=0.05292715957295874, c2=0.00028015621243233463 ...............
[CV]  c1=0.05292715957295874, c2=0.00028015621243233463, score=0.795514 -   1.5s
[CV] c1=0.2788899084349843, c2=0.001604169744001678 ..................
[CV]  c1=0.2788899084349843, c2=0.001604169744001678, score=0.856487 -   1.9s
[CV] c1=0.06540273908633784, c2=0.004648669263105814 .................
[CV]  c1=0.06540273908633784, c2=0.004648669263105814, score=0.851027 -   1.9s
[CV] c1=1.1913230224167075, c2=0.0775512531319652 ....................
[CV]  c1=1.1913230224167075, c2=0.0775512531319652, score=0.625561 -   2.1s
[CV] c1=1.2778304137595176, c2=0.061737330226774946 ..................
[CV]  c1=1.2778304137595176, c2=0.061737330226774946, score=0.640366 -   2.3s
[CV] c1=0.7474596473887878, c2=0.016072048027642918 ..................
[CV]  c1=0.7474596473887878, c2=0.016072048027642918, score=0.715112 -   2.1s
[CV] c1=0.060424214439955985, c2=0.010064066175264142 ................
[CV]  c1=0.060424214439955985, c2=0.010064066175264142, score=0.885484 -   1.9s
[CV] c1=0.21366079602054552, c2=0.044761106324840136 .................
[CV]  c1=0.21366079602054552, c2=0.044761106324840136, score=0.748408 -   1.5s
[CV] c1=1.7856547380547692, c2=0.0301355030842536 ....................
[CV]  c1=1.7856547380547692, c2=0.0301355030842536, score=0.636561 -   1.7s
[CV] c1=1.0647006176274318, c2=0.020123507720328213 ..................
[CV]  c1=1.0647006176274318, c2=0.020123507720328213, score=0.740683 -   2.0s
[CV] c1=0.6665150852798922, c2=0.060163835572671624 ..................
[CV]  c1=0.6665150852798922, c2=0.060163835572671624, score=0.803006 -   2.0s
[CV] c1=0.12113120928092022, c2=0.04392000284429563 ..................
[CV]  c1=0.12113120928092022, c2=0.04392000284429563, score=0.846892 -   1.6s
[CV] c1=0.2708896101788715, c2=0.011325984307874898 ..................
[CV]  c1=0.2708896101788715, c2=0.011325984307874898, score=0.915796 -   1.9s
[CV] c1=0.1516471539306164, c2=0.011578647004362862 ..................
[CV]  c1=0.1516471539306164, c2=0.011578647004362862, score=0.910098 -   1.9s
[CV] c1=1.0914609429342614, c2=0.07137416854169647 ...................
[CV]  c1=1.0914609429342614, c2=0.07137416854169647, score=0.633941 -   1.9s
[CV] c1=0.4701759140160546, c2=0.012794077270047161 ..................
[CV]  c1=0.4701759140160546, c2=0.012794077270047161, score=0.864310 -   1.9s
[CV] c1=0.20447578355386095, c2=0.009160264867021858 .................
[CV]  c1=0.20447578355386095, c2=0.009160264867021858, score=0.779429 -   1.6s
[CV] c1=0.27245466258441475, c2=0.010319454812748357 .................
[CV]  c1=0.27245466258441475, c2=0.010319454812748357, score=0.845968 -   2.0s
[CV] c1=0.060424214439955985, c2=0.010064066175264142 ................
[CV]  c1=0.060424214439955985, c2=0.010064066175264142, score=0.851877 -   1.8s
[CV] c1=0.21366079602054552, c2=0.044761106324840136 .................
[CV]  c1=0.21366079602054552, c2=0.044761106324840136, score=0.788709 -   1.9s
[CV] c1=0.3808527319799163, c2=0.026639315663619562 ..................
[CV]  c1=0.3808527319799163, c2=0.026639315663619562, score=0.864900 -   1.8s
[CV] c1=0.7594441252398155, c2=0.008531782965078486 ..................
[CV]  c1=0.7594441252398155, c2=0.008531782965078486, score=0.724074 -   1.8s
[CV] c1=0.22398382861657587, c2=0.05965436551484937 ..................
[CV]  c1=0.22398382861657587, c2=0.05965436551484937, score=0.862597 -   1.8s
[CV] c1=1.5361503885656673, c2=0.12878480027904562 ...................
[CV]  c1=1.5361503885656673, c2=0.12878480027904562, score=0.646065 -   1.5s
[CV] c1=0.24500899389185404, c2=0.09740786432311957 ..................
[CV]  c1=0.24500899389185404, c2=0.09740786432311957, score=0.765405 -   1.9s
[CV] c1=0.5773156553607235, c2=0.009594909908902717 ..................
[CV]  c1=0.5773156553607235, c2=0.009594909908902717, score=0.827163 -   1.8s
[CV] c1=0.09277065279401679, c2=0.023781540243049674 .................
[CV]  c1=0.09277065279401679, c2=0.023781540243049674, score=0.878011 -   2.0s
[CV] c1=1.1937314348058239, c2=0.02595241065558665 ...................
[CV]  c1=1.1937314348058239, c2=0.02595241065558665, score=0.671820 -   1.5s
[CV] c1=0.07828271790486613, c2=0.010758958117943425 .................
[CV]  c1=0.07828271790486613, c2=0.010758958117943425, score=0.843344 -   1.9s
[CV] c1=0.13381958062885507, c2=0.1454965909232721 ...................
[CV]  c1=0.13381958062885507, c2=0.1454965909232721, score=0.738162 -   1.4s
[CV] c1=0.3774419637697722, c2=0.029594730467853797 ..................
[CV]  c1=0.3774419637697722, c2=0.029594730467853797, score=0.861140 -   1.9s
[CV] c1=0.21366079602054552, c2=0.044761106324840136 .................
[CV]  c1=0.21366079602054552, c2=0.044761106324840136, score=0.910683 -   1.9s
[CV] c1=0.3808527319799163, c2=0.026639315663619562 ..................
[CV]  c1=0.3808527319799163, c2=0.026639315663619562, score=0.773825 -   2.0s
[CV] c1=0.6210665001496912, c2=0.013083956801101256 ..................
[CV]  c1=0.6210665001496912, c2=0.013083956801101256, score=0.765642 -   1.5s
[CV] c1=0.22398382861657587, c2=0.05965436551484937 ..................
[CV]  c1=0.22398382861657587, c2=0.05965436551484937, score=0.905038 -   2.1s
[CV] c1=0.333947987018517, c2=0.06444471617023988 ....................
[CV]  c1=0.333947987018517, c2=0.06444471617023988, score=0.869687 -   1.9s
[CV] c1=0.36284761888673456, c2=0.12570591821811225 ..................
[CV]  c1=0.36284761888673456, c2=0.12570591821811225, score=0.904305 -   1.9s
[CV] c1=0.11700414020587115, c2=0.021285922893170706 .................
[CV]  c1=0.11700414020587115, c2=0.021285922893170706, score=0.905464 -   1.9s
[CV] c1=1.1913230224167075, c2=0.0775512531319652 ....................
[CV]  c1=1.1913230224167075, c2=0.0775512531319652, score=0.873004 -   1.9s
[CV] c1=0.5516827931627838, c2=0.003259307414039991 ..................
[CV]  c1=0.5516827931627838, c2=0.003259307414039991, score=0.898348 -   1.9s
[CV] c1=0.8440669068497638, c2=0.038355988519121705 ..................
[CV]  c1=0.8440669068497638, c2=0.038355988519121705, score=0.681543 -   1.5s
[CV] c1=0.12103523234211658, c2=0.09620789972646449 ..................
[CV]  c1=0.12103523234211658, c2=0.09620789972646449, score=0.885741 -   2.1s
[CV] c1=1.0140838937425172, c2=0.05158363121295953 ...................
[CV]  c1=1.0140838937425172, c2=0.05158363121295953, score=0.743421 -   1.9s
[CV] c1=0.4760353440084599, c2=0.006079182286806145 ..................
[CV]  c1=0.4760353440084599, c2=0.006079182286806145, score=0.734733 -   1.5s
[CV] c1=0.44902846896416876, c2=0.021558329035867834 .................
[CV]  c1=0.44902846896416876, c2=0.021558329035867834, score=0.913014 -   1.8s
[CV] c1=0.4421714103292971, c2=0.03450718369361249 ...................
[CV]  c1=0.4421714103292971, c2=0.03450718369361249, score=0.742776 -   1.5s
[CV] c1=0.22398382861657587, c2=0.05965436551484937 ..................
[CV]  c1=0.22398382861657587, c2=0.05965436551484937, score=0.846106 -   1.9s
[CV] c1=0.23776227887718798, c2=0.02620607215934668 ..................
[CV]  c1=0.23776227887718798, c2=0.02620607215934668, score=0.790487 -   1.8s
[CV] c1=0.4418625779111857, c2=0.06195882583736187 ...................
[CV]  c1=0.4418625779111857, c2=0.06195882583736187, score=0.897876 -   1.9s
[CV] c1=0.4178839829836137, c2=0.09207320242943 ......................
[CV]  c1=0.4178839829836137, c2=0.09207320242943, score=0.841581 -   1.9s
[CV] c1=0.3960588888102324, c2=0.03172749294134378 ...................
[CV]  c1=0.3960588888102324, c2=0.03172749294134378, score=0.837619 -   2.0s
[CV] c1=0.4701759140160546, c2=0.012794077270047161 ..................
[CV]  c1=0.4701759140160546, c2=0.012794077270047161, score=0.739818 -   1.5s
[CV] c1=1.3255325484947407, c2=0.06106356069515401 ...................
[CV]  c1=1.3255325484947407, c2=0.06106356069515401, score=0.625561 -   2.1s
[CV] c1=0.27245466258441475, c2=0.010319454812748357 .................
[CV]  c1=0.27245466258441475, c2=0.010319454812748357, score=0.864900 -   1.8s
[CV] c1=0.3774419637697722, c2=0.029594730467853797 ..................
[CV]  c1=0.3774419637697722, c2=0.029594730467853797, score=0.905758 -   1.9s
[CV] c1=0.044582885630079214, c2=0.07409264520085736 .................
[CV]  c1=0.044582885630079214, c2=0.07409264520085736, score=0.834325 -   1.9s
[CV] c1=0.3808527319799163, c2=0.026639315663619562 ..................
[CV]  c1=0.3808527319799163, c2=0.026639315663619562, score=0.756260 -   1.5s
[CV] c1=0.6090187533130826, c2=0.11676469658425333 ...................
[CV]  c1=0.6090187533130826, c2=0.11676469658425333, score=0.717645 -   1.9s
[CV] c1=0.6665150852798922, c2=0.060163835572671624 ..................
[CV]  c1=0.6665150852798922, c2=0.060163835572671624, score=0.854778 -   2.0s
[CV] c1=0.07420366567059329, c2=0.10572258223922584 ..................
[CV]  c1=0.07420366567059329, c2=0.10572258223922584, score=0.845931 -   2.0s
[CV] c1=0.2788899084349843, c2=0.001604169744001678 ..................
[CV]  c1=0.2788899084349843, c2=0.001604169744001678, score=0.747997 -   1.5s
[CV] c1=0.1516471539306164, c2=0.011578647004362862 ..................
[CV]  c1=0.1516471539306164, c2=0.011578647004362862, score=0.790697 -   1.5s
[CV] c1=0.3960588888102324, c2=0.03172749294134378 ...................
[CV]  c1=0.3960588888102324, c2=0.03172749294134378, score=0.750061 -   1.4s
[CV] c1=0.9669844703702255, c2=0.01632381289338353 ...................
[CV]  c1=0.9669844703702255, c2=0.01632381289338353, score=0.694436 -   1.9s
[CV] c1=0.051986886416116575, c2=0.13671690290149577 .................
[CV]  c1=0.051986886416116575, c2=0.13671690290149577, score=0.813172 -   1.9s
[CV] c1=0.3837388656226509, c2=0.11021624690041246 ...................
[CV]  c1=0.3837388656226509, c2=0.11021624690041246, score=0.834039 -   1.7s
[CV] c1=0.09126326537415264, c2=0.1595981062529121 ...................
[CV]  c1=0.09126326537415264, c2=0.1595981062529121, score=0.760672 -   1.4s
[CV] c1=2.0832292008066347, c2=0.006639447823637703 ..................
[CV]  c1=2.0832292008066347, c2=0.006639447823637703, score=0.843199 -   1.9s
[CV] c1=0.40367115915854046, c2=0.08808463209910615 ..................
[CV]  c1=0.40367115915854046, c2=0.08808463209910615, score=0.897460 -   2.0s
[CV] c1=0.29652428015707294, c2=0.07511635461655188 ..................
[CV]  c1=0.29652428015707294, c2=0.07511635461655188, score=0.764759 -   1.5s
[CV] c1=0.8965724152155585, c2=0.021133023102315504 ..................
[CV]  c1=0.8965724152155585, c2=0.021133023102315504, score=0.877525 -   1.8s
[CV] c1=0.013244488646732803, c2=0.05711227145739165 .................
[CV]  c1=0.013244488646732803, c2=0.05711227145739165, score=0.773535 -   1.4s
[CV] c1=0.12113120928092022, c2=0.04392000284429563 ..................
[CV]  c1=0.12113120928092022, c2=0.04392000284429563, score=0.876044 -   2.0s
[CV] c1=0.24500899389185404, c2=0.09740786432311957 ..................
[CV]  c1=0.24500899389185404, c2=0.09740786432311957, score=0.847843 -   1.8s
[CV] c1=0.5773156553607235, c2=0.009594909908902717 ..................
[CV]  c1=0.5773156553607235, c2=0.009594909908902717, score=0.854778 -   2.1s
[CV] c1=1.1913230224167075, c2=0.0775512531319652 ....................
[CV]  c1=1.1913230224167075, c2=0.0775512531319652, score=0.687189 -   1.6s
[CV] c1=1.1937314348058239, c2=0.02595241065558665 ...................
[CV]  c1=1.1937314348058239, c2=0.02595241065558665, score=0.874568 -   1.8s
[CV] c1=0.9385164712530986, c2=0.057230190782493064 ..................
[CV]  c1=0.9385164712530986, c2=0.057230190782493064, score=0.689538 -   1.8s
[CV] c1=0.13381958062885507, c2=0.1454965909232721 ...................
[CV]  c1=0.13381958062885507, c2=0.1454965909232721, score=0.867332 -   2.0s
[CV] c1=1.0140838937425172, c2=0.05158363121295953 ...................
[CV]  c1=1.0140838937425172, c2=0.05158363121295953, score=0.681776 -   1.5s
[CV] c1=0.21366079602054552, c2=0.044761106324840136 .................
[CV]  c1=0.21366079602054552, c2=0.044761106324840136, score=0.839929 -   2.0s
[CV] c1=0.016716184010716135, c2=0.010637593244931994 ................
[CV]  c1=0.016716184010716135, c2=0.010637593244931994, score=0.858948 -   1.8s
[CV] c1=0.6210665001496912, c2=0.013083956801101256 ..................
[CV]  c1=0.6210665001496912, c2=0.013083956801101256, score=0.811984 -   1.8s
[CV] c1=0.9150560000074907, c2=0.031698668631969434 ..................
[CV]  c1=0.9150560000074907, c2=0.031698668631969434, score=0.817253 -   1.8s
[CV] c1=0.23776227887718798, c2=0.02620607215934668 ..................
[CV]  c1=0.23776227887718798, c2=0.02620607215934668, score=0.910242 -   2.0s
[CV] c1=0.4418625779111857, c2=0.06195882583736187 ...................
[CV]  c1=0.4418625779111857, c2=0.06195882583736187, score=0.753571 -   2.1s
[CV] c1=0.1516471539306164, c2=0.011578647004362862 ..................
[CV]  c1=0.1516471539306164, c2=0.011578647004362862, score=0.880929 -   1.9s
[CV] c1=0.09277065279401679, c2=0.023781540243049674 .................
[CV]  c1=0.09277065279401679, c2=0.023781540243049674, score=0.857168 -   1.8s
[CV] c1=0.03067792073680636, c2=0.016145498908266994 .................
[CV]  c1=0.03067792073680636, c2=0.016145498908266994, score=0.799708 -   1.8s
[CV] c1=0.20447578355386095, c2=0.009160264867021858 .................
[CV]  c1=0.20447578355386095, c2=0.009160264867021858, score=0.870032 -   1.7s
[CV] c1=0.13381958062885507, c2=0.1454965909232721 ...................
[CV]  c1=0.13381958062885507, c2=0.1454965909232721, score=0.897160 -   1.9s
[CV] c1=0.0005017065546453412, c2=0.046049619177728034 ...............
[CV]  c1=0.0005017065546453412, c2=0.046049619177728034, score=0.787501 -   1.5s
[CV] c1=0.044582885630079214, c2=0.07409264520085736 .................
[CV]  c1=0.044582885630079214, c2=0.07409264520085736, score=0.861188 -   1.8s
[CV] c1=1.7856547380547692, c2=0.0301355030842536 ....................
[CV]  c1=1.7856547380547692, c2=0.0301355030842536, score=0.616944 -   1.9s
[CV] c1=0.6090187533130826, c2=0.11676469658425333 ...................
[CV]  c1=0.6090187533130826, c2=0.11676469658425333, score=0.849754 -   2.0s
[CV] c1=0.22398382861657587, c2=0.05965436551484937 ..................
[CV]  c1=0.22398382861657587, c2=0.05965436551484937, score=0.787400 -   2.0s
[CV] c1=0.23776227887718798, c2=0.02620607215934668 ..................
[CV]  c1=0.23776227887718798, c2=0.02620607215934668, score=0.865375 -   1.5s
[CV] c1=1.3789268061178452, c2=0.03862512227939376 ...................
[CV]  c1=1.3789268061178452, c2=0.03862512227939376, score=0.632880 -   1.5s
[CV] c1=1.4232539894664125, c2=0.044396091073365056 ..................
[CV]  c1=1.4232539894664125, c2=0.044396091073365056, score=0.851636 -   1.9s
[CV] c1=1.446712555928238, c2=0.05960143881308014 ....................
[CV]  c1=1.446712555928238, c2=0.05960143881308014, score=0.855161 -   2.0s
[CV] c1=0.9669844703702255, c2=0.01632381289338353 ...................
[CV]  c1=0.9669844703702255, c2=0.01632381289338353, score=0.815247 -   2.0s
[CV] c1=0.051986886416116575, c2=0.13671690290149577 .................
[CV]  c1=0.051986886416116575, c2=0.13671690290149577, score=0.861158 -   2.0s
[CV] c1=0.7474596473887878, c2=0.016072048027642918 ..................
[CV]  c1=0.7474596473887878, c2=0.016072048027642918, score=0.887133 -   1.9s
[CV] c1=0.7187698839922303, c2=0.004860869772557454 ..................
[CV]  c1=0.7187698839922303, c2=0.004860869772557454, score=0.724074 -   1.9s
[CV] c1=2.185957389879195, c2=0.05154754060942385 ....................
[CV]  c1=2.185957389879195, c2=0.05154754060942385, score=0.555098 -   2.0s
[CV] c1=1.7856547380547692, c2=0.0301355030842536 ....................
[CV]  c1=1.7856547380547692, c2=0.0301355030842536, score=0.619095 -   2.1s
[CV] c1=0.7594441252398155, c2=0.008531782965078486 ..................
[CV]  c1=0.7594441252398155, c2=0.008531782965078486, score=0.809816 -   1.9s
[CV] c1=0.9150560000074907, c2=0.031698668631969434 ..................
[CV]  c1=0.9150560000074907, c2=0.031698668631969434, score=0.708356 -   1.8s
[CV] c1=1.302756971099871, c2=0.061093408618863844 ...................
[CV]  c1=1.302756971099871, c2=0.061093408618863844, score=0.853888 -   1.6s
[CV] c1=1.3789268061178452, c2=0.03862512227939376 ...................
[CV]  c1=1.3789268061178452, c2=0.03862512227939376, score=0.770729 -   1.8s
[CV] c1=0.3622506509408261, c2=0.039394245506724435 ..................
[CV]  c1=0.3622506509408261, c2=0.039394245506724435, score=0.910514 -   2.0s
[CV] c1=0.22988623033979175, c2=0.06797619756692229 ..................
[CV]  c1=0.22988623033979175, c2=0.06797619756692229, score=0.862597 -   1.9s
[CV] c1=0.43331601309316664, c2=0.10876853886503685 ..................
[CV]  c1=0.43331601309316664, c2=0.10876853886503685, score=0.849754 -   2.1s
[CV] c1=0.07828271790486613, c2=0.010758958117943425 .................
[CV]  c1=0.07828271790486613, c2=0.010758958117943425, score=0.799164 -   1.9s
[CV] c1=0.43464708637824107, c2=0.008191920004902814 .................
[CV]  c1=0.43464708637824107, c2=0.008191920004902814, score=0.875560 -   2.0s
[CV] c1=0.0005017065546453412, c2=0.046049619177728034 ...............
[CV]  c1=0.0005017065546453412, c2=0.046049619177728034, score=0.804983 -   2.0s
[CV] c1=0.3933298602042876, c2=0.00677074600717725 ...................
[CV]  c1=0.3933298602042876, c2=0.00677074600717725, score=0.897061 -   2.0s
[CV] c1=0.44902846896416876, c2=0.021558329035867834 .................
[CV]  c1=0.44902846896416876, c2=0.021558329035867834, score=0.837619 -   1.9s
[CV] c1=0.8965724152155585, c2=0.021133023102315504 ..................
[CV]  c1=0.8965724152155585, c2=0.021133023102315504, score=0.690978 -   1.6s
[CV] c1=0.9150560000074907, c2=0.031698668631969434 ..................
[CV]  c1=0.9150560000074907, c2=0.031698668631969434, score=0.772483 -   1.9s
[CV] c1=0.23776227887718798, c2=0.02620607215934668 ..................
[CV]  c1=0.23776227887718798, c2=0.02620607215934668, score=0.881169 -   1.9s
[CV] c1=0.4418625779111857, c2=0.06195882583736187 ...................
[CV]  c1=0.4418625779111857, c2=0.06195882583736187, score=0.854778 -   1.9s
[CV] c1=0.4178839829836137, c2=0.09207320242943 ......................
[CV]  c1=0.4178839829836137, c2=0.09207320242943, score=0.822710 -   2.1s
[CV] c1=0.09277065279401679, c2=0.023781540243049674 .................
[CV]  c1=0.09277065279401679, c2=0.023781540243049674, score=0.884064 -   1.8s
[CV] c1=0.03067792073680636, c2=0.016145498908266994 .................
[CV]  c1=0.03067792073680636, c2=0.016145498908266994, score=0.879653 -   1.8s
[CV] c1=0.20447578355386095, c2=0.009160264867021858 .................
[CV]  c1=0.20447578355386095, c2=0.009160264867021858, score=0.906095 -   1.9s
[CV] c1=0.13381958062885507, c2=0.1454965909232721 ...................
[CV]  c1=0.13381958062885507, c2=0.1454965909232721, score=0.787617 -   1.9s
[CV] c1=0.0005017065546453412, c2=0.046049619177728034 ...............
[CV]  c1=0.0005017065546453412, c2=0.046049619177728034, score=0.861188 -   1.8s
[CV] c1=0.3933298602042876, c2=0.00677074600717725 ...................
[CV]  c1=0.3933298602042876, c2=0.00677074600717725, score=0.862350 -   2.1s
[CV] c1=0.44902846896416876, c2=0.021558329035867834 .................
[CV]  c1=0.44902846896416876, c2=0.021558329035867834, score=0.747558 -   1.8s
[CV] c1=0.4421714103292971, c2=0.03450718369361249 ...................
[CV]  c1=0.4421714103292971, c2=0.03450718369361249, score=0.852854 -   1.8s
[CV] c1=0.08615770645096285, c2=0.01687404693435442 ..................
[CV]  c1=0.08615770645096285, c2=0.01687404693435442, score=0.892656 -   1.8s
[CV] c1=1.302756971099871, c2=0.061093408618863844 ...................
[CV]  c1=1.302756971099871, c2=0.061093408618863844, score=0.784190 -   1.8s
[CV] c1=0.2708896101788715, c2=0.011325984307874898 ..................
[CV]  c1=0.2708896101788715, c2=0.011325984307874898, score=0.775071 -   1.5s
[CV] c1=0.4178839829836137, c2=0.09207320242943 ......................
[CV]  c1=0.4178839829836137, c2=0.09207320242943, score=0.899526 -   1.7s
[CV] c1=0.22988623033979175, c2=0.06797619756692229 ..................
[CV]  c1=0.22988623033979175, c2=0.06797619756692229, score=0.763357 -   1.5s
[CV] c1=0.9669844703702255, c2=0.01632381289338353 ...................
[CV]  c1=0.9669844703702255, c2=0.01632381289338353, score=0.863687 -   1.8s
[CV] c1=1.2778304137595176, c2=0.061737330226774946 ..................
[CV]  c1=1.2778304137595176, c2=0.061737330226774946, score=0.802604 -   1.7s
[CV] c1=0.09704520300867069, c2=0.00032273576105769814 ...............
[CV]  c1=0.09704520300867069, c2=0.00032273576105769814, score=0.864464 -   1.8s
[CV] c1=0.48366185541436857, c2=0.015320655156812912 .................
[CV]  c1=0.48366185541436857, c2=0.015320655156812912, score=0.878036 -   1.9s
[CV] c1=2.0832292008066347, c2=0.006639447823637703 ..................
[CV]  c1=2.0832292008066347, c2=0.006639447823637703, score=0.629378 -   1.5s
[CV] c1=0.09824864656652631, c2=0.014710326275351727 .................
[CV]  c1=0.09824864656652631, c2=0.014710326275351727, score=0.879266 -   1.9s
[CV] c1=0.7075928648067249, c2=0.12998384387514214 ...................
[CV]  c1=0.7075928648067249, c2=0.12998384387514214, score=0.716654 -   1.5s
[CV] c1=0.4421714103292971, c2=0.03450718369361249 ...................
[CV]  c1=0.4421714103292971, c2=0.03450718369361249, score=0.910719 -   1.9s
[CV] c1=0.08615770645096285, c2=0.01687404693435442 ..................
[CV]  c1=0.08615770645096285, c2=0.01687404693435442, score=0.783465 -   1.4s
[CV] c1=0.49737694210421823, c2=0.014226409124961748 .................
[CV]  c1=0.49737694210421823, c2=0.014226409124961748, score=0.855162 -   1.6s
[CV] c1=0.1275705002737256, c2=0.11925281248668461 ...................
[CV]  c1=0.1275705002737256, c2=0.11925281248668461, score=0.791300 -   2.0s
[CV] c1=1.4232539894664125, c2=0.044396091073365056 ..................
[CV]  c1=1.4232539894664125, c2=0.044396091073365056, score=0.755175 -   2.0s
[CV] c1=0.22988623033979175, c2=0.06797619756692229 ..................
[CV]  c1=0.22988623033979175, c2=0.06797619756692229, score=0.787617 -   1.9s
[CV] c1=0.43331601309316664, c2=0.10876853886503685 ..................
[CV]  c1=0.43331601309316664, c2=0.10876853886503685, score=0.845862 -   1.8s
[CV] c1=1.3255325484947407, c2=0.06106356069515401 ...................
[CV]  c1=1.3255325484947407, c2=0.06106356069515401, score=0.797050 -   1.9s
[CV] c1=0.7474596473887878, c2=0.016072048027642918 ..................
[CV]  c1=0.7474596473887878, c2=0.016072048027642918, score=0.785618 -   1.9s
[CV] c1=0.3774419637697722, c2=0.029594730467853797 ..................
[CV]  c1=0.3774419637697722, c2=0.029594730467853797, score=0.761453 -   2.2s
[CV] c1=0.3933298602042876, c2=0.00677074600717725 ...................
[CV]  c1=0.3933298602042876, c2=0.00677074600717725, score=0.905948 -   1.9s
[CV] c1=0.016716184010716135, c2=0.010637593244931994 ................
[CV]  c1=0.016716184010716135, c2=0.010637593244931994, score=0.888815 -   1.8s
[CV] c1=0.6210665001496912, c2=0.013083956801101256 ..................
[CV]  c1=0.6210665001496912, c2=0.013083956801101256, score=0.882952 -   1.8s
[CV] c1=0.9150560000074907, c2=0.031698668631969434 ..................
[CV]  c1=0.9150560000074907, c2=0.031698668631969434, score=0.851315 -   1.8s
[CV] c1=0.333947987018517, c2=0.06444471617023988 ....................
[CV]  c1=0.333947987018517, c2=0.06444471617023988, score=0.785026 -   1.9s
[CV] c1=0.2788899084349843, c2=0.001604169744001678 ..................
[CV]  c1=0.2788899084349843, c2=0.001604169744001678, score=0.846118 -   2.0s
[CV] c1=0.11700414020587115, c2=0.021285922893170706 .................
[CV]  c1=0.11700414020587115, c2=0.021285922893170706, score=0.770946 -   1.4s
[CV] c1=0.09277065279401679, c2=0.023781540243049674 .................
[CV]  c1=0.09277065279401679, c2=0.023781540243049674, score=0.767935 -   1.4s
[CV] c1=1.0597633857122255, c2=0.018773434841956694 ..................
[CV]  c1=1.0597633857122255, c2=0.018773434841956694, score=0.789388 -   1.7s
[CV] c1=2.1326372222868204, c2=0.09721903631012513 ...................
[CV]  c1=2.1326372222868204, c2=0.09721903631012513, score=0.807328 -   1.8s
[CV] c1=0.7474596473887878, c2=0.016072048027642918 ..................
[CV]  c1=0.7474596473887878, c2=0.016072048027642918, score=0.696795 -   1.5s
[CV] c1=0.09126326537415264, c2=0.1595981062529121 ...................
[CV]  c1=0.09126326537415264, c2=0.1595981062529121, score=0.804667 -   1.8s
[CV] c1=0.946906099243797, c2=0.06380729691975622 ....................
[CV]  c1=0.946906099243797, c2=0.06380729691975622, score=0.796203 -   1.7s
[CV] c1=0.13565629355876765, c2=0.04920965718941617 ..................
[CV]  c1=0.13565629355876765, c2=0.04920965718941617, score=0.892656 -   1.9s
[CV] c1=0.36600158282030665, c2=0.016085914017298798 .................
[CV]  c1=0.36600158282030665, c2=0.016085914017298798, score=0.751185 -   1.5s
[CV] c1=0.8965724152155585, c2=0.021133023102315504 ..................
[CV]  c1=0.8965724152155585, c2=0.021133023102315504, score=0.795745 -   1.9s
[CV] c1=0.013244488646732803, c2=0.05711227145739165 .................
[CV]  c1=0.013244488646732803, c2=0.05711227145739165, score=0.861188 -   1.5s
[CV] c1=0.3240949744558559, c2=0.004101598580830708 ..................
[CV]  c1=0.3240949744558559, c2=0.004101598580830708, score=0.915796 -   1.7s
[CV] c1=0.1275705002737256, c2=0.11925281248668461 ...................
[CV]  c1=0.1275705002737256, c2=0.11925281248668461, score=0.837576 -   2.0s
[CV] c1=1.4232539894664125, c2=0.044396091073365056 ..................
[CV]  c1=1.4232539894664125, c2=0.044396091073365056, score=0.680631 -   2.0s
[CV] c1=0.22988623033979175, c2=0.06797619756692229 ..................
[CV]  c1=0.22988623033979175, c2=0.06797619756692229, score=0.811445 -   2.0s
[CV] c1=1.0597633857122255, c2=0.018773434841956694 ..................
[CV]  c1=1.0597633857122255, c2=0.018773434841956694, score=0.743896 -   1.9s
[CV] c1=0.07828271790486613, c2=0.010758958117943425 .................
[CV]  c1=0.07828271790486613, c2=0.010758958117943425, score=0.887878 -   1.9s
[CV] c1=0.43464708637824107, c2=0.008191920004902814 .................
[CV]  c1=0.43464708637824107, c2=0.008191920004902814, score=0.771684 -   2.2s
[CV] c1=0.0005017065546453412, c2=0.046049619177728034 ...............
[CV]  c1=0.0005017065546453412, c2=0.046049619177728034, score=0.834325 -   1.9s
[CV] c1=0.09824864656652631, c2=0.014710326275351727 .................
[CV]  c1=0.09824864656652631, c2=0.014710326275351727, score=0.804429 -   1.6s
[CV] c1=0.016716184010716135, c2=0.010637593244931994 ................
[CV]  c1=0.016716184010716135, c2=0.010637593244931994, score=0.821138 -   1.9s
[CV] c1=0.6210665001496912, c2=0.013083956801101256 ..................
[CV]  c1=0.6210665001496912, c2=0.013083956801101256, score=0.854778 -   1.9s
[CV] c1=0.08615770645096285, c2=0.01687404693435442 ..................
[CV]  c1=0.08615770645096285, c2=0.01687404693435442, score=0.799164 -   1.8s
[CV] c1=0.07420366567059329, c2=0.10572258223922584 ..................
[CV]  c1=0.07420366567059329, c2=0.10572258223922584, score=0.861188 -   2.3s
[CV] c1=0.4279236431419177, c2=0.008407738237757317 ..................
[CV]  c1=0.4279236431419177, c2=0.008407738237757317, score=0.914657 -   1.9s
[CV] c1=0.40488624394907496, c2=0.024198202763773245 .................
[CV]  c1=0.40488624394907496, c2=0.024198202763773245, score=0.910968 -   1.9s
[CV] c1=0.19526785784753808, c2=0.055125770808636836 .................
[CV]  c1=0.19526785784753808, c2=0.055125770808636836, score=0.797318 -   2.0s
[CV] c1=0.051986886416116575, c2=0.13671690290149577 .................
[CV]  c1=0.051986886416116575, c2=0.13671690290149577, score=0.872989 -   1.9s
[CV] c1=0.3837388656226509, c2=0.11021624690041246 ...................
[CV]  c1=0.3837388656226509, c2=0.11021624690041246, score=0.757377 -   1.5s
[CV] c1=0.48366185541436857, c2=0.015320655156812912 .................
[CV]  c1=0.48366185541436857, c2=0.015320655156812912, score=0.848116 -   1.7s
[CV] c1=0.21165433423062735, c2=0.15302121662969095 ..................
[CV]  c1=0.21165433423062735, c2=0.15302121662969095, score=0.744253 -   1.7s
[CV] c1=0.09824864656652631, c2=0.014710326275351727 .................
[CV]  c1=0.09824864656652631, c2=0.014710326275351727, score=0.804934 -   1.9s
[CV] c1=0.44902846896416876, c2=0.021558329035867834 .................
[CV]  c1=0.44902846896416876, c2=0.021558329035867834, score=0.850042 -   1.9s
[CV] c1=0.4421714103292971, c2=0.03450718369361249 ...................
[CV]  c1=0.4421714103292971, c2=0.03450718369361249, score=0.874142 -   1.8s
[CV] c1=0.013244488646732803, c2=0.05711227145739165 .................
[CV]  c1=0.013244488646732803, c2=0.05711227145739165, score=0.873947 -   1.7s
[CV] c1=0.3240949744558559, c2=0.004101598580830708 ..................
[CV]  c1=0.3240949744558559, c2=0.004101598580830708, score=0.743390 -   1.4s
[CV] c1=0.05292715957295874, c2=0.00028015621243233463 ...............
[CV]  c1=0.05292715957295874, c2=0.00028015621243233463, score=0.857996 -   1.8s
[CV] c1=0.4279236431419177, c2=0.008407738237757317 ..................
[CV]  c1=0.4279236431419177, c2=0.008407738237757317, score=0.868821 -   1.9s
[CV] c1=0.40488624394907496, c2=0.024198202763773245 .................
[CV]  c1=0.40488624394907496, c2=0.024198202763773245, score=0.869687 -   2.0s
[CV] c1=0.9669844703702255, c2=0.01632381289338353 ...................
[CV]  c1=0.9669844703702255, c2=0.01632381289338353, score=0.696974 -   1.7s
[CV] c1=1.2778304137595176, c2=0.061737330226774946 ..................
[CV]  c1=1.2778304137595176, c2=0.061737330226774946, score=0.698073 -   1.6s
[CV] c1=0.8440669068497638, c2=0.038355988519121705 ..................
[CV]  c1=0.8440669068497638, c2=0.038355988519121705, score=0.872757 -   1.9s
[CV] c1=0.48366185541436857, c2=0.015320655156812912 .................
[CV]  c1=0.48366185541436857, c2=0.015320655156812912, score=0.747558 -   1.8s
[CV] c1=0.21165433423062735, c2=0.15302121662969095 ..................
[CV]  c1=0.21165433423062735, c2=0.15302121662969095, score=0.854423 -   1.8s
[CV] c1=0.4760353440084599, c2=0.006079182286806145 ..................
[CV]  c1=0.4760353440084599, c2=0.006079182286806145, score=0.749517 -   2.0s
[CV] c1=0.29652428015707294, c2=0.07511635461655188 ..................
[CV]  c1=0.29652428015707294, c2=0.07511635461655188, score=0.906002 -   1.9s
[CV] c1=0.10623360423742856, c2=0.060390281052708605 .................
[CV]  c1=0.10623360423742856, c2=0.060390281052708605, score=0.797318 -   1.8s
[CV] c1=0.20779083075371357, c2=0.04357196139163721 ..................
[CV]  c1=0.20779083075371357, c2=0.04357196139163721, score=0.751661 -   1.4s
[CV] c1=1.5361503885656673, c2=0.12878480027904562 ...................
[CV]  c1=1.5361503885656673, c2=0.12878480027904562, score=0.856815 -   1.9s
[CV] c1=0.36284761888673456, c2=0.12570591821811225 ..................
[CV]  c1=0.36284761888673456, c2=0.12570591821811225, score=0.776754 -   1.9s
[CV] c1=0.11700414020587115, c2=0.021285922893170706 .................
[CV]  c1=0.11700414020587115, c2=0.021285922893170706, score=0.807099 -   1.9s
[CV] c1=1.1913230224167075, c2=0.0775512531319652 ....................
[CV]  c1=1.1913230224167075, c2=0.0775512531319652, score=0.691332 -   1.9s
[CV] c1=0.5516827931627838, c2=0.003259307414039991 ..................
[CV]  c1=0.5516827931627838, c2=0.003259307414039991, score=0.859243 -   2.0s
[CV] c1=0.09704520300867069, c2=0.00032273576105769814 ...............
[CV]  c1=0.09704520300867069, c2=0.00032273576105769814, score=0.814978 -   1.9s
[CV] c1=0.0340704752007835, c2=0.10796347820908928 ...................
[CV]  c1=0.0340704752007835, c2=0.10796347820908928, score=0.866392 -   1.9s
[CV] c1=0.946906099243797, c2=0.06380729691975622 ....................
[CV]  c1=0.946906099243797, c2=0.06380729691975622, score=0.784119 -   1.9s
[CV] c1=0.07078132746426254, c2=0.09840484145066758 ..................
[CV]  c1=0.07078132746426254, c2=0.09840484145066758, score=0.752750 -   1.5s
[CV] c1=0.29652428015707294, c2=0.07511635461655188 ..................
[CV]  c1=0.29652428015707294, c2=0.07511635461655188, score=0.787400 -   1.9s
[CV] c1=0.10623360423742856, c2=0.060390281052708605 .................
[CV]  c1=0.10623360423742856, c2=0.060390281052708605, score=0.876044 -   1.9s
[CV] c1=0.46823156742571803, c2=0.010036959330094368 .................
[CV]  c1=0.46823156742571803, c2=0.010036959330094368, score=0.752865 -   1.3s
[CV] c1=0.3240949744558559, c2=0.004101598580830708 ..................
[CV]  c1=0.3240949744558559, c2=0.004101598580830708, score=0.790487 -   1.5s
[CV] c1=0.1275705002737256, c2=0.11925281248668461 ...................
[CV]  c1=0.1275705002737256, c2=0.11925281248668461, score=0.768129 -   1.4s
[CV] c1=0.36284761888673456, c2=0.12570591821811225 ..................
[CV]  c1=0.36284761888673456, c2=0.12570591821811225, score=0.839791 -   2.0s
[CV] c1=0.40488624394907496, c2=0.024198202763773245 .................
[CV]  c1=0.40488624394907496, c2=0.024198202763773245, score=0.748985 -   1.5s
[CV] c1=0.5396685016046833, c2=0.025067264096226418 ..................
[CV]  c1=0.5396685016046833, c2=0.025067264096226418, score=0.854778 -   2.1s
[CV] c1=0.5516827931627838, c2=0.003259307414039991 ..................
[CV]  c1=0.5516827931627838, c2=0.003259307414039991, score=0.827120 -   1.9s
[CV] c1=0.8440669068497638, c2=0.038355988519121705 ..................
[CV]  c1=0.8440669068497638, c2=0.038355988519121705, score=0.840169 -   2.0s
[CV] c1=0.0340704752007835, c2=0.10796347820908928 ...................
[CV]  c1=0.0340704752007835, c2=0.10796347820908928, score=0.861188 -   1.8s
[CV] c1=2.0832292008066347, c2=0.006639447823637703 ..................
[CV]  c1=2.0832292008066347, c2=0.006639447823637703, score=0.569937 -   1.9s
[CV] c1=0.13565629355876765, c2=0.04920965718941617 ..................
[CV]  c1=0.13565629355876765, c2=0.04920965718941617, score=0.770936 -   1.5s
[CV] c1=0.7075928648067249, c2=0.12998384387514214 ...................
[CV]  c1=0.7075928648067249, c2=0.12998384387514214, score=0.786330 -   1.9s
[CV] c1=0.10623360423742856, c2=0.060390281052708605 .................
[CV]  c1=0.10623360423742856, c2=0.060390281052708605, score=0.761497 -   1.6s
[CV] c1=0.013244488646732803, c2=0.05711227145739165 .................
[CV]  c1=0.013244488646732803, c2=0.05711227145739165, score=0.813970 -   1.7s
[CV] c1=1.302756971099871, c2=0.061093408618863844 ...................
[CV]  c1=1.302756971099871, c2=0.061093408618863844, score=0.687961 -   1.5s
[CV] c1=1.3789268061178452, c2=0.03862512227939376 ...................
[CV]  c1=1.3789268061178452, c2=0.03862512227939376, score=0.621952 -   2.1s
[CV] c1=0.4178839829836137, c2=0.09207320242943 ......................
[CV]  c1=0.4178839829836137, c2=0.09207320242943, score=0.751127 -   1.5s
[CV] c1=1.446712555928238, c2=0.05960143881308014 ....................
[CV]  c1=1.446712555928238, c2=0.05960143881308014, score=0.650225 -   2.0s
[CV] c1=0.43331601309316664, c2=0.10876853886503685 ..................
[CV]  c1=0.43331601309316664, c2=0.10876853886503685, score=0.754417 -   2.1s
[CV] c1=2.1326372222868204, c2=0.09721903631012513 ...................
[CV]  c1=2.1326372222868204, c2=0.09721903631012513, score=0.555904 -   2.0s
[CV] c1=0.43464708637824107, c2=0.008191920004902814 .................
[CV]  c1=0.43464708637824107, c2=0.008191920004902814, score=0.855250 -   1.8s
[CV] c1=0.060424214439955985, c2=0.010064066175264142 ................
[CV]  c1=0.060424214439955985, c2=0.010064066175264142, score=0.792124 -   1.9s
[CV] c1=0.21366079602054552, c2=0.044761106324840136 .................
[CV]  c1=0.21366079602054552, c2=0.044761106324840136, score=0.862597 -   2.0s
[CV] c1=0.3808527319799163, c2=0.026639315663619562 ..................
[CV]  c1=0.3808527319799163, c2=0.026639315663619562, score=0.878636 -   1.9s
[CV] c1=0.6210665001496912, c2=0.013083956801101256 ..................
[CV]  c1=0.6210665001496912, c2=0.013083956801101256, score=0.717951 -   2.1s
[CV] c1=0.08615770645096285, c2=0.01687404693435442 ..................
[CV]  c1=0.08615770645096285, c2=0.01687404693435442, score=0.864900 -   1.7s
[CV] c1=0.07420366567059329, c2=0.10572258223922584 ..................
[CV]  c1=0.07420366567059329, c2=0.10572258223922584, score=0.890545 -   1.9s
[CV] c1=0.24500899389185404, c2=0.09740786432311957 ..................
[CV]  c1=0.24500899389185404, c2=0.09740786432311957, score=0.894211 -   1.9s
[CV] c1=0.5773156553607235, c2=0.009594909908902717 ..................
[CV]  c1=0.5773156553607235, c2=0.009594909908902717, score=0.901937 -   1.9s
[CV] c1=0.09277065279401679, c2=0.023781540243049674 .................
[CV]  c1=0.09277065279401679, c2=0.023781540243049674, score=0.789066 -   1.8s
[CV] c1=0.03067792073680636, c2=0.016145498908266994 .................
[CV]  c1=0.03067792073680636, c2=0.016145498908266994, score=0.853366 -   1.7s
[CV] c1=0.20447578355386095, c2=0.009160264867021858 .................
[CV]  c1=0.20447578355386095, c2=0.009160264867021858, score=0.799164 -   1.9s
[CV] c1=0.13381958062885507, c2=0.1454965909232721 ...................
[CV]  c1=0.13381958062885507, c2=0.1454965909232721, score=0.854423 -   1.7s
[CV] c1=0.0005017065546453412, c2=0.046049619177728034 ...............
[CV]  c1=0.0005017065546453412, c2=0.046049619177728034, score=0.882291 -   1.9s
[CV] c1=0.3933298602042876, c2=0.00677074600717725 ...................
[CV]  c1=0.3933298602042876, c2=0.00677074600717725, score=0.768135 -   2.0s
[CV] c1=0.016716184010716135, c2=0.010637593244931994 ................
[CV]  c1=0.016716184010716135, c2=0.010637593244931994, score=0.845943 -   1.8s
[CV] c1=0.4421714103292971, c2=0.03450718369361249 ...................
[CV]  c1=0.4421714103292971, c2=0.03450718369361249, score=0.753571 -   2.0s
[CV] c1=0.08615770645096285, c2=0.01687404693435442 ..................
[CV]  c1=0.08615770645096285, c2=0.01687404693435442, score=0.911334 -   1.8s
[CV] c1=1.5361503885656673, c2=0.12878480027904562 ...................
[CV]  c1=1.5361503885656673, c2=0.12878480027904562, score=0.638446 -   1.9s
[CV] c1=0.4279236431419177, c2=0.008407738237757317 ..................
[CV]  c1=0.4279236431419177, c2=0.008407738237757317, score=0.742525 -   1.5s
[CV] c1=0.06540273908633784, c2=0.004648669263105814 .................
[CV]  c1=0.06540273908633784, c2=0.004648669263105814, score=0.811058 -   1.5s
[CV] c1=1.0914609429342614, c2=0.07137416854169647 ...................
[CV]  c1=1.0914609429342614, c2=0.07137416854169647, score=0.790857 -   1.7s
[CV] c1=0.4701759140160546, c2=0.012794077270047161 ..................
[CV]  c1=0.4701759140160546, c2=0.012794077270047161, score=0.861876 -   1.8s
[CV] c1=0.07828271790486613, c2=0.010758958117943425 .................
[CV]  c1=0.07828271790486613, c2=0.010758958117943425, score=0.858127 -   1.8s
[CV] c1=0.43464708637824107, c2=0.008191920004902814 .................
[CV]  c1=0.43464708637824107, c2=0.008191920004902814, score=0.738753 -   1.5s
[CV] c1=0.7187698839922303, c2=0.004860869772557454 ..................
[CV]  c1=0.7187698839922303, c2=0.004860869772557454, score=0.698950 -   1.5s
[CV] c1=0.946906099243797, c2=0.06380729691975622 ....................
[CV]  c1=0.946906099243797, c2=0.06380729691975622, score=0.679411 -   1.9s
[CV] c1=0.13565629355876765, c2=0.04920965718941617 ..................
[CV]  c1=0.13565629355876765, c2=0.04920965718941617, score=0.797318 -   1.9s
[CV] c1=0.36600158282030665, c2=0.016085914017298798 .................
[CV]  c1=0.36600158282030665, c2=0.016085914017298798, score=0.869687 -   1.8s
[CV] c1=0.019829522200352744, c2=0.028100544998610973 ................
[CV]  c1=0.019829522200352744, c2=0.028100544998610973, score=0.884853 -   1.8s
[CV] c1=0.34584530978074457, c2=0.022540795868216144 .................
[CV]  c1=0.34584530978074457, c2=0.022540795868216144, score=0.743741 -   1.2s
[CV] c1=0.3240949744558559, c2=0.004101598580830708 ..................
[CV]  c1=0.3240949744558559, c2=0.004101598580830708, score=0.908801 -   1.4s
[CV] c1=0.1275705002737256, c2=0.11925281248668461 ...................
[CV]  c1=0.1275705002737256, c2=0.11925281248668461, score=0.854423 -   1.8s
[CV] c1=1.4232539894664125, c2=0.044396091073365056 ..................
[CV]  c1=1.4232539894664125, c2=0.044396091073365056, score=0.619809 -   2.0s
[CV] c1=1.446712555928238, c2=0.05960143881308014 ....................
[CV]  c1=1.446712555928238, c2=0.05960143881308014, score=0.621895 -   2.0s
[CV] c1=0.43331601309316664, c2=0.10876853886503685 ..................
[CV]  c1=0.43331601309316664, c2=0.10876853886503685, score=0.897876 -   2.0s
[CV] c1=1.3255325484947407, c2=0.06106356069515401 ...................
[CV]  c1=1.3255325484947407, c2=0.06106356069515401, score=0.681665 -   1.5s
[CV] c1=0.3837388656226509, c2=0.11021624690041246 ...................
[CV]  c1=0.3837388656226509, c2=0.11021624690041246, score=0.754264 -   1.9s
[CV] c1=0.09126326537415264, c2=0.1595981062529121 ...................
[CV]  c1=0.09126326537415264, c2=0.1595981062529121, score=0.863974 -   1.9s
[CV] c1=2.185957389879195, c2=0.05154754060942385 ....................
[CV]  c1=2.185957389879195, c2=0.05154754060942385, score=0.611507 -   1.5s
[CV] c1=0.40367115915854046, c2=0.08808463209910615 ..................
[CV]  c1=0.40367115915854046, c2=0.08808463209910615, score=0.851274 -   1.9s
[CV] c1=0.29652428015707294, c2=0.07511635461655188 ..................
[CV]  c1=0.29652428015707294, c2=0.07511635461655188, score=0.846106 -   1.9s
[CV] c1=1.0957631552604448, c2=0.003130585674744217 ..................
[CV]  c1=1.0957631552604448, c2=0.003130585674744217, score=0.677617 -   1.5s
[CV] c1=0.20779083075371357, c2=0.04357196139163721 ..................
[CV]  c1=0.20779083075371357, c2=0.04357196139163721, score=0.898185 -   1.7s
[CV] c1=0.23776227887718798, c2=0.02620607215934668 ..................
[CV]  c1=0.23776227887718798, c2=0.02620607215934668, score=0.779019 -   1.0s
[CV] c1=0.05292715957295874, c2=0.00028015621243233463 ...............
[CV]  c1=0.05292715957295874, c2=0.00028015621243233463, score=0.810604 -   1.9s
[CV] c1=0.4279236431419177, c2=0.008407738237757317 ..................
[CV]  c1=0.4279236431419177, c2=0.008407738237757317, score=0.862914 -   1.8s
[CV] c1=0.11700414020587115, c2=0.021285922893170706 .................
[CV]  c1=0.11700414020587115, c2=0.021285922893170706, score=0.857168 -   1.8s
[CV] c1=1.1913230224167075, c2=0.0775512531319652 ....................
[CV]  c1=1.1913230224167075, c2=0.0775512531319652, score=0.795248 -   1.9s
[CV] c1=0.5516827931627838, c2=0.003259307414039991 ..................
[CV]  c1=0.5516827931627838, c2=0.003259307414039991, score=0.739317 -   2.0s
[CV] c1=0.09704520300867069, c2=0.00032273576105769814 ...............
[CV]  c1=0.09704520300867069, c2=0.00032273576105769814, score=0.795518 -   1.6s
[CV] c1=0.48366185541436857, c2=0.015320655156812912 .................
[CV]  c1=0.48366185541436857, c2=0.015320655156812912, score=0.739029 -   1.6s
[CV] c1=1.0140838937425172, c2=0.05158363121295953 ...................
[CV]  c1=1.0140838937425172, c2=0.05158363121295953, score=0.797377 -   2.0s
[CV] c1=0.4760353440084599, c2=0.006079182286806145 ..................
[CV]  c1=0.4760353440084599, c2=0.006079182286806145, score=0.812801 -   1.8s
[CV] c1=0.7075928648067249, c2=0.12998384387514214 ...................
[CV]  c1=0.7075928648067249, c2=0.12998384387514214, score=0.795512 -   1.9s
[CV] c1=0.8965724152155585, c2=0.021133023102315504 ..................
[CV]  c1=0.8965724152155585, c2=0.021133023102315504, score=0.838018 -   2.0s
[CV] c1=0.20779083075371357, c2=0.04357196139163721 ..................
[CV]  c1=0.20779083075371357, c2=0.04357196139163721, score=0.862597 -   1.6s
[CV] c1=0.333947987018517, c2=0.06444471617023988 ....................
[CV]  c1=0.333947987018517, c2=0.06444471617023988, score=0.862597 -   1.8s
[CV] c1=0.2788899084349843, c2=0.001604169744001678 ..................
[CV]  c1=0.2788899084349843, c2=0.001604169744001678, score=0.916427 -   1.8s
[CV] c1=0.06540273908633784, c2=0.004648669263105814 .................
[CV]  c1=0.06540273908633784, c2=0.004648669263105814, score=0.897927 -   1.9s
[CV] c1=0.5396685016046833, c2=0.025067264096226418 ..................
[CV]  c1=0.5396685016046833, c2=0.025067264096226418, score=0.899891 -   2.2s
[CV] c1=0.5516827931627838, c2=0.003259307414039991 ..................
[CV]  c1=0.5516827931627838, c2=0.003259307414039991, score=0.742124 -   1.5s
[CV] c1=0.9385164712530986, c2=0.057230190782493064 ..................
[CV]  c1=0.9385164712530986, c2=0.057230190782493064, score=0.876826 -   2.0s
[CV] c1=0.12103523234211658, c2=0.09620789972646449 ..................
[CV]  c1=0.12103523234211658, c2=0.09620789972646449, score=0.750921 -   1.5s
[CV] c1=0.060424214439955985, c2=0.010064066175264142 ................
[CV]  c1=0.060424214439955985, c2=0.010064066175264142, score=0.849702 -   1.9s
[CV] c1=0.3933298602042876, c2=0.00677074600717725 ...................
[CV]  c1=0.3933298602042876, c2=0.00677074600717725, score=0.751678 -   1.6s
[CV] c1=0.3808527319799163, c2=0.026639315663619562 ..................
[CV]  c1=0.3808527319799163, c2=0.026639315663619562, score=0.913014 -   1.9s
[CV] c1=0.7594441252398155, c2=0.008531782965078486 ..................
[CV]  c1=0.7594441252398155, c2=0.008531782965078486, score=0.690443 -   1.5s
[CV] c1=0.6665150852798922, c2=0.060163835572671624 ..................
[CV]  c1=0.6665150852798922, c2=0.060163835572671624, score=0.889381 -   1.9s
[CV] c1=0.05081605865600382, c2=0.05631705296338965 ..................
[CV]  c1=0.05081605865600382, c2=0.05631705296338965, score=0.770330 -   1.0s
[CV] c1=1.5361503885656673, c2=0.12878480027904562 ...................
[CV]  c1=1.5361503885656673, c2=0.12878480027904562, score=0.743945 -   1.7s
[CV] c1=0.36284761888673456, c2=0.12570591821811225 ..................
[CV]  c1=0.36284761888673456, c2=0.12570591821811225, score=0.763105 -   1.5s
[CV] c1=0.5773156553607235, c2=0.009594909908902717 ..................
[CV]  c1=0.5773156553607235, c2=0.009594909908902717, score=0.749517 -   2.0s
[CV] c1=0.5396685016046833, c2=0.025067264096226418 ..................
[CV]  c1=0.5396685016046833, c2=0.025067264096226418, score=0.749517 -   2.0s
[CV] c1=1.1937314348058239, c2=0.02595241065558665 ...................
[CV]  c1=1.1937314348058239, c2=0.02595241065558665, score=0.739317 -   2.0s
[CV] c1=0.8440669068497638, c2=0.038355988519121705 ..................
[CV]  c1=0.8440669068497638, c2=0.038355988519121705, score=0.804050 -   2.0s
[CV] c1=0.0340704752007835, c2=0.10796347820908928 ...................
[CV]  c1=0.0340704752007835, c2=0.10796347820908928, score=0.874972 -   1.9s
[CV] c1=2.0832292008066347, c2=0.006639447823637703 ..................
[CV]  c1=2.0832292008066347, c2=0.006639447823637703, score=0.610512 -   1.8s
[CV] c1=0.40367115915854046, c2=0.08808463209910615 ..................
[CV]  c1=0.40367115915854046, c2=0.08808463209910615, score=0.768553 -   1.5s
[CV] c1=0.7075928648067249, c2=0.12998384387514214 ...................
[CV]  c1=0.7075928648067249, c2=0.12998384387514214, score=0.876132 -   2.0s
[CV] c1=0.10623360423742856, c2=0.060390281052708605 .................
[CV]  c1=0.10623360423742856, c2=0.060390281052708605, score=0.887452 -   1.9s
[CV] c1=0.20779083075371357, c2=0.04357196139163721 ..................
[CV]  c1=0.20779083075371357, c2=0.04357196139163721, score=0.796775 -   1.7s
[CV] c1=0.12113120928092022, c2=0.04392000284429563 ..................
[CV]  c1=0.12113120928092022, c2=0.04392000284429563, score=0.776651 -   1.4s
[CV] c1=1.3789268061178452, c2=0.03862512227939376 ...................
[CV]  c1=1.3789268061178452, c2=0.03862512227939376, score=0.644019 -   1.8s
[CV] c1=0.3622506509408261, c2=0.039394245506724435 ..................
[CV]  c1=0.3622506509408261, c2=0.039394245506724435, score=0.857318 -   1.7s
[CV] c1=0.22988623033979175, c2=0.06797619756692229 ..................
[CV]  c1=0.22988623033979175, c2=0.06797619756692229, score=0.912034 -   1.9s
[CV] c1=0.43331601309316664, c2=0.10876853886503685 ..................
[CV]  c1=0.43331601309316664, c2=0.10876853886503685, score=0.760526 -   1.6s
[CV] c1=0.051986886416116575, c2=0.13671690290149577 .................
[CV]  c1=0.051986886416116575, c2=0.13671690290149577, score=0.760672 -   1.5s
[CV] c1=0.8440669068497638, c2=0.038355988519121705 ..................
[CV]  c1=0.8440669068497638, c2=0.038355988519121705, score=0.713839 -   2.0s
[CV] c1=0.0340704752007835, c2=0.10796347820908928 ...................
[CV]  c1=0.0340704752007835, c2=0.10796347820908928, score=0.762754 -   1.5s
[CV] c1=0.21165433423062735, c2=0.15302121662969095 ..................
[CV]  c1=0.21165433423062735, c2=0.15302121662969095, score=0.890817 -   1.9s
[CV] c1=0.4760353440084599, c2=0.006079182286806145 ..................
[CV]  c1=0.4760353440084599, c2=0.006079182286806145, score=0.902020 -   1.8s
[CV] c1=0.7075928648067249, c2=0.12998384387514214 ...................
[CV]  c1=0.7075928648067249, c2=0.12998384387514214, score=0.704550 -   1.9s
[CV] c1=0.8965724152155585, c2=0.021133023102315504 ..................
[CV]  c1=0.8965724152155585, c2=0.021133023102315504, score=0.704169 -   1.9s
[CV] c1=0.013244488646732803, c2=0.05711227145739165 .................
[CV]  c1=0.013244488646732803, c2=0.05711227145739165, score=0.843216 -   1.7s
[CV] c1=0.07420366567059329, c2=0.10572258223922584 ..................
[CV]  c1=0.07420366567059329, c2=0.10572258223922584, score=0.754888 -   1.5s
[CV] c1=0.4418625779111857, c2=0.06195882583736187 ...................
[CV]  c1=0.4418625779111857, c2=0.06195882583736187, score=0.853048 -   1.8s
[CV] c1=0.4178839829836137, c2=0.09207320242943 ......................
[CV]  c1=0.4178839829836137, c2=0.09207320242943, score=0.758260 -   1.9s
[CV] c1=0.3960588888102324, c2=0.03172749294134378 ...................
[CV]  c1=0.3960588888102324, c2=0.03172749294134378, score=0.855250 -   1.8s
[CV] c1=1.0597633857122255, c2=0.018773434841956694 ..................
[CV]  c1=1.0597633857122255, c2=0.018773434841956694, score=0.642821 -   1.8s
[CV] c1=2.1326372222868204, c2=0.09721903631012513 ...................
[CV]  c1=2.1326372222868204, c2=0.09721903631012513, score=0.599577 -   2.0s
[CV] c1=0.43464708637824107, c2=0.008191920004902814 .................
[CV]  c1=0.43464708637824107, c2=0.008191920004902814, score=0.895591 -   1.6s
[CV] c1=0.7187698839922303, c2=0.004860869772557454 ..................
[CV]  c1=0.7187698839922303, c2=0.004860869772557454, score=0.779661 -   1.8s
[CV] c1=0.044582885630079214, c2=0.07409264520085736 .................
[CV]  c1=0.044582885630079214, c2=0.07409264520085736, score=0.878193 -   1.8s
[CV] c1=0.07078132746426254, c2=0.09840484145066758 ..................
[CV]  c1=0.07078132746426254, c2=0.09840484145066758, score=0.846395 -   1.8s
[CV] c1=0.6090187533130826, c2=0.11676469658425333 ...................
[CV]  c1=0.6090187533130826, c2=0.11676469658425333, score=0.880887 -   1.8s
[CV] c1=0.6665150852798922, c2=0.060163835572671624 ..................
[CV]  c1=0.6665150852798922, c2=0.060163835572671624, score=0.709285 -   1.4s
[CV] c1=0.46823156742571803, c2=0.010036959330094368 .................
[CV]  c1=0.46823156742571803, c2=0.010036959330094368, score=0.749517 -   1.4s
[CV] c1=0.49737694210421823, c2=0.014226409124961748 .................
[CV]  c1=0.49737694210421823, c2=0.014226409124961748, score=0.749517 -   1.5s
[CV] c1=0.05292715957295874, c2=0.00028015621243233463 ...............
[CV]  c1=0.05292715957295874, c2=0.00028015621243233463, score=0.844205 -   1.9s
[CV] c1=1.4232539894664125, c2=0.044396091073365056 ..................
[CV]  c1=1.4232539894664125, c2=0.044396091073365056, score=0.668325 -   1.6s
[CV] c1=0.40488624394907496, c2=0.024198202763773245 .................
[CV]  c1=0.40488624394907496, c2=0.024198202763773245, score=0.778753 -   1.9s
[CV] c1=0.19526785784753808, c2=0.055125770808636836 .................
[CV]  c1=0.19526785784753808, c2=0.055125770808636836, score=0.854961 -   1.8s
[CV] c1=1.2778304137595176, c2=0.061737330226774946 ..................
[CV]  c1=1.2778304137595176, c2=0.061737330226774946, score=0.621895 -   1.9s
[CV] c1=0.09704520300867069, c2=0.00032273576105769814 ...............
[CV]  c1=0.09704520300867069, c2=0.00032273576105769814, score=0.875682 -   1.9s
[CV] c1=0.09126326537415264, c2=0.1595981062529121 ...................
[CV]  c1=0.09126326537415264, c2=0.1595981062529121, score=0.861188 -   1.7s
[CV] c1=0.946906099243797, c2=0.06380729691975622 ....................
[CV]  c1=0.946906099243797, c2=0.06380729691975622, score=0.875123 -   2.0s
[CV] c1=0.13565629355876765, c2=0.04920965718941617 ..................
[CV]  c1=0.13565629355876765, c2=0.04920965718941617, score=0.852183 -   1.8s
[CV] c1=0.36600158282030665, c2=0.016085914017298798 .................
[CV]  c1=0.36600158282030665, c2=0.016085914017298798, score=0.787473 -   1.9s
[CV] c1=0.019829522200352744, c2=0.028100544998610973 ................
[CV]  c1=0.019829522200352744, c2=0.028100544998610973, score=0.758293 -   1.5s
[CV] c1=0.20779083075371357, c2=0.04357196139163721 ..................
[CV]  c1=0.20779083075371357, c2=0.04357196139163721, score=0.849101 -   1.6s
[CV] c1=0.333947987018517, c2=0.06444471617023988 ....................
[CV]  c1=0.333947987018517, c2=0.06444471617023988, score=0.917041 -   1.9s
[CV] c1=0.2788899084349843, c2=0.001604169744001678 ..................
[CV]  c1=0.2788899084349843, c2=0.001604169744001678, score=0.790487 -   1.9s
[CV] c1=0.06540273908633784, c2=0.004648669263105814 .................
[CV]  c1=0.06540273908633784, c2=0.004648669263105814, score=0.873928 -   1.8s
[CV] c1=0.5396685016046833, c2=0.025067264096226418 ..................
[CV]  c1=0.5396685016046833, c2=0.025067264096226418, score=0.770219 -   1.6s
[CV] c1=0.03067792073680636, c2=0.016145498908266994 .................
[CV]  c1=0.03067792073680636, c2=0.016145498908266994, score=0.785941 -   1.5s
[CV] c1=2.1326372222868204, c2=0.09721903631012513 ...................
[CV]  c1=2.1326372222868204, c2=0.09721903631012513, score=0.727089 -   1.8s
[CV] c1=0.27245466258441475, c2=0.010319454812748357 .................
[CV]  c1=0.27245466258441475, c2=0.010319454812748357, score=0.790487 -   1.9s
[CV] c1=0.060424214439955985, c2=0.010064066175264142 ................
[CV]  c1=0.060424214439955985, c2=0.010064066175264142, score=0.758457 -   1.4s
[CV] c1=2.185957389879195, c2=0.05154754060942385 ....................
[CV]  c1=2.185957389879195, c2=0.05154754060942385, score=0.597146 -   1.9s
[CV] c1=1.7856547380547692, c2=0.0301355030842536 ....................
[CV]  c1=1.7856547380547692, c2=0.0301355030842536, score=0.855161 -   1.8s
[CV] c1=0.6090187533130826, c2=0.11676469658425333 ...................
[CV]  c1=0.6090187533130826, c2=0.11676469658425333, score=0.725761 -   1.5s
[CV] c1=1.0957631552604448, c2=0.003130585674744217 ..................
[CV]  c1=1.0957631552604448, c2=0.003130585674744217, score=0.799065 -   1.9s
[CV] c1=0.34584530978074457, c2=0.022540795868216144 .................
[CV]  c1=0.34584530978074457, c2=0.022540795868216144, score=0.764452 -   1.3s
[CV] c1=0.49737694210421823, c2=0.014226409124961748 .................
[CV]  c1=0.49737694210421823, c2=0.014226409124961748, score=0.751678 -   1.2s
[CV] c1=0.05292715957295874, c2=0.00028015621243233463 ...............
[CV]  c1=0.05292715957295874, c2=0.00028015621243233463, score=0.873310 -   1.9s
[CV] c1=0.4279236431419177, c2=0.008407738237757317 ..................
[CV]  c1=0.4279236431419177, c2=0.008407738237757317, score=0.744011 -   2.0s
[CV] c1=0.40488624394907496, c2=0.024198202763773245 .................
[CV]  c1=0.40488624394907496, c2=0.024198202763773245, score=0.855250 -   1.9s
[CV] c1=0.19526785784753808, c2=0.055125770808636836 .................
[CV]  c1=0.19526785784753808, c2=0.055125770808636836, score=0.843513 -   2.4s
[CV] c1=1.3255325484947407, c2=0.06106356069515401 ...................
[CV]  c1=1.3255325484947407, c2=0.06106356069515401, score=0.691332 -   1.9s
[CV] c1=0.27245466258441475, c2=0.010319454812748357 .................
[CV]  c1=0.27245466258441475, c2=0.010319454812748357, score=0.765806 -   1.7s
[CV] c1=0.7187698839922303, c2=0.004860869772557454 ..................
[CV]  c1=0.7187698839922303, c2=0.004860869772557454, score=0.815995 -   1.9s
[CV] c1=0.044582885630079214, c2=0.07409264520085736 .................
[CV]  c1=0.044582885630079214, c2=0.07409264520085736, score=0.763961 -   1.5s
[CV] c1=0.07078132746426254, c2=0.09840484145066758 ..................
[CV]  c1=0.07078132746426254, c2=0.09840484145066758, score=0.875100 -   1.9s
[CV] c1=1.0647006176274318, c2=0.020123507720328213 ..................
[CV]  c1=1.0647006176274318, c2=0.020123507720328213, score=0.664137 -   1.5s
[CV] c1=1.0957631552604448, c2=0.003130585674744217 ..................
[CV]  c1=1.0957631552604448, c2=0.003130585674744217, score=0.872396 -   2.0s
[CV] c1=0.46823156742571803, c2=0.010036959330094368 .................
[CV]  c1=0.46823156742571803, c2=0.010036959330094368, score=0.858786 -   1.5s
[CV] c1=0.12113120928092022, c2=0.04392000284429563 ..................
[CV]  c1=0.12113120928092022, c2=0.04392000284429563, score=0.799708 -   1.8s
[CV] c1=0.2708896101788715, c2=0.011325984307874898 ..................
[CV]  c1=0.2708896101788715, c2=0.011325984307874898, score=0.856995 -   1.9s
[CV] c1=0.1516471539306164, c2=0.011578647004362862 ..................
[CV]  c1=0.1516471539306164, c2=0.011578647004362862, score=0.867678 -   1.7s
[CV] c1=1.0914609429342614, c2=0.07137416854169647 ...................
[CV]  c1=1.0914609429342614, c2=0.07137416854169647, score=0.690655 -   1.5s
[CV] c1=1.0597633857122255, c2=0.018773434841956694 ..................
[CV]  c1=1.0597633857122255, c2=0.018773434841956694, score=0.711455 -   1.5s
[CV] c1=0.051986886416116575, c2=0.13671690290149577 .................
[CV]  c1=0.051986886416116575, c2=0.13671690290149577, score=0.858948 -   1.7s
[CV] c1=0.3837388656226509, c2=0.11021624690041246 ...................
[CV]  c1=0.3837388656226509, c2=0.11021624690041246, score=0.904305 -   1.8s
[CV] c1=0.09126326537415264, c2=0.1595981062529121 ...................
[CV]  c1=0.09126326537415264, c2=0.1595981062529121, score=0.885741 -   1.8s
[CV] c1=0.946906099243797, c2=0.06380729691975622 ....................
[CV]  c1=0.946906099243797, c2=0.06380729691975622, score=0.681512 -   1.5s
[CV] c1=0.4760353440084599, c2=0.006079182286806145 ..................
[CV]  c1=0.4760353440084599, c2=0.006079182286806145, score=0.906410 -   2.0s
[CV] c1=0.29652428015707294, c2=0.07511635461655188 ..................
[CV]  c1=0.29652428015707294, c2=0.07511635461655188, score=0.862597 -   1.8s
[CV] c1=0.10623360423742856, c2=0.060390281052708605 .................
[CV]  c1=0.10623360423742856, c2=0.060390281052708605, score=0.846892 -   1.9s
[CV] c1=0.46823156742571803, c2=0.010036959330094368 .................
[CV]  c1=0.46823156742571803, c2=0.010036959330094368, score=0.910550 -   1.6s
[CV] c1=1.5361503885656673, c2=0.12878480027904562 ...................
[CV]  c1=1.5361503885656673, c2=0.12878480027904562, score=0.619030 -   1.9s
[CV] c1=0.36284761888673456, c2=0.12570591821811225 ..................
[CV]  c1=0.36284761888673456, c2=0.12570591821811225, score=0.846069 -   2.3s
[CV] c1=1.446712555928238, c2=0.05960143881308014 ....................
[CV]  c1=1.446712555928238, c2=0.05960143881308014, score=0.629834 -   1.5s
[CV] c1=0.19526785784753808, c2=0.055125770808636836 .................
[CV]  c1=0.19526785784753808, c2=0.055125770808636836, score=0.897288 -   1.9s
[CV] c1=1.2778304137595176, c2=0.061737330226774946 ..................
[CV]  c1=1.2778304137595176, c2=0.061737330226774946, score=0.853888 -   1.9s
[CV] c1=0.09704520300867069, c2=0.00032273576105769814 ...............
[CV]  c1=0.09704520300867069, c2=0.00032273576105769814, score=0.874229 -   1.8s
[CV] c1=0.0340704752007835, c2=0.10796347820908928 ...................
[CV]  c1=0.0340704752007835, c2=0.10796347820908928, score=0.818706 -   1.8s
[CV] c1=2.0832292008066347, c2=0.006639447823637703 ..................
[CV]  c1=2.0832292008066347, c2=0.006639447823637703, score=0.720805 -   1.9s
[CV] c1=0.40367115915854046, c2=0.08808463209910615 ..................
[CV]  c1=0.40367115915854046, c2=0.08808463209910615, score=0.751932 -   1.9s
[CV] c1=0.36600158282030665, c2=0.016085914017298798 .................
[CV]  c1=0.36600158282030665, c2=0.016085914017298798, score=0.907887 -   1.9s
[CV] c1=1.0957631552604448, c2=0.003130585674744217 ..................
[CV]  c1=1.0957631552604448, c2=0.003130585674744217, score=0.665021 -   1.9s
[CV] c1=0.46823156742571803, c2=0.010036959330094368 .................
[CV]  c1=0.46823156742571803, c2=0.010036959330094368, score=0.900833 -   1.5s
[CV] c1=0.333947987018517, c2=0.06444471617023988 ....................
[CV]  c1=0.333947987018517, c2=0.06444471617023988, score=0.752879 -   1.6s
[CV] c1=0.2708896101788715, c2=0.011325984307874898 ..................
[CV]  c1=0.2708896101788715, c2=0.011325984307874898, score=0.878036 -   2.0s
[CV] c1=0.5773156553607235, c2=0.009594909908902717 ..................
[CV]  c1=0.5773156553607235, c2=0.009594909908902717, score=0.741847 -   1.5s
[CV] c1=1.0914609429342614, c2=0.07137416854169647 ...................
[CV]  c1=1.0914609429342614, c2=0.07137416854169647, score=0.858035 -   1.9s
[CV] c1=0.4701759140160546, c2=0.012794077270047161 ..................
[CV]  c1=0.4701759140160546, c2=0.012794077270047161, score=0.755042 -   2.1s
[CV] c1=0.20447578355386095, c2=0.009160264867021858 .................
[CV]  c1=0.20447578355386095, c2=0.009160264867021858, score=0.889212 -   2.2s
[CV] c1=0.12103523234211658, c2=0.09620789972646449 ..................
[CV]  c1=0.12103523234211658, c2=0.09620789972646449, score=0.845931 -   2.0s
[CV] c1=0.21165433423062735, c2=0.15302121662969095 ..................
[CV]  c1=0.21165433423062735, c2=0.15302121662969095, score=0.834802 -   2.1s
[CV] c1=0.40367115915854046, c2=0.08808463209910615 ..................
[CV]  c1=0.40367115915854046, c2=0.08808463209910615, score=0.860154 -   2.0s
[CV] c1=0.36600158282030665, c2=0.016085914017298798 .................
[CV]  c1=0.36600158282030665, c2=0.016085914017298798, score=0.861856 -   1.8s
[CV] c1=1.0957631552604448, c2=0.003130585674744217 ..................
[CV]  c1=1.0957631552604448, c2=0.003130585674744217, score=0.788267 -   1.9s
[CV] c1=0.34584530978074457, c2=0.022540795868216144 .................
[CV]  c1=0.34584530978074457, c2=0.022540795868216144, score=0.920574 -   1.5s
[CV] c1=0.3240949744558559, c2=0.004101598580830708 ..................
[CV]  c1=0.3240949744558559, c2=0.004101598580830708, score=0.860811 -   1.6s
[CV] c1=1.3789268061178452, c2=0.03862512227939376 ...................
[CV]  c1=1.3789268061178452, c2=0.03862512227939376, score=0.858891 -   1.9s
[CV] c1=0.3622506509408261, c2=0.039394245506724435 ..................
[CV]  c1=0.3622506509408261, c2=0.039394245506724435, score=0.742828 -   1.7s
[CV] c1=1.446712555928238, c2=0.05960143881308014 ....................
[CV]  c1=1.446712555928238, c2=0.05960143881308014, score=0.738423 -   1.8s
[CV] c1=0.9669844703702255, c2=0.01632381289338353 ...................
[CV]  c1=0.9669844703702255, c2=0.01632381289338353, score=0.732055 -   2.0s
[CV] c1=1.3255325484947407, c2=0.06106356069515401 ...................
[CV]  c1=1.3255325484947407, c2=0.06106356069515401, score=0.854472 -   2.1s
[CV] c1=0.27245466258441475, c2=0.010319454812748357 .................
[CV]  c1=0.27245466258441475, c2=0.010319454812748357, score=0.908131 -   1.8s
[CV] c1=0.3774419637697722, c2=0.029594730467853797 ..................
[CV]  c1=0.3774419637697722, c2=0.029594730467853797, score=0.786032 -   1.5s
[CV] c1=2.185957389879195, c2=0.05154754060942385 ....................
[CV]  c1=2.185957389879195, c2=0.05154754060942385, score=0.817619 -   1.9s
[CV] c1=0.07078132746426254, c2=0.09840484145066758 ..................
[CV]  c1=0.07078132746426254, c2=0.09840484145066758, score=0.799708 -   1.9s
[CV] c1=1.0647006176274318, c2=0.020123507720328213 ..................
[CV]  c1=1.0647006176274318, c2=0.020123507720328213, score=0.790468 -   1.9s
[CV] c1=0.019829522200352744, c2=0.028100544998610973 ................
[CV]  c1=0.019829522200352744, c2=0.028100544998610973, score=0.857790 -   1.8s
[CV] c1=0.34584530978074457, c2=0.022540795868216144 .................
[CV]  c1=0.34584530978074457, c2=0.022540795868216144, score=0.855250 -   1.4s
[CV] c1=0.07420366567059329, c2=0.10572258223922584 ..................
[CV]  c1=0.07420366567059329, c2=0.10572258223922584, score=0.797318 -   1.9s
[CV] c1=0.24500899389185404, c2=0.09740786432311957 ..................
[CV]  c1=0.24500899389185404, c2=0.09740786432311957, score=0.793329 -   2.1s
[CV] c1=0.06540273908633784, c2=0.004648669263105814 .................
[CV]  c1=0.06540273908633784, c2=0.004648669263105814, score=0.815358 -   1.9s
[CV] c1=0.5396685016046833, c2=0.025067264096226418 ..................
[CV]  c1=0.5396685016046833, c2=0.025067264096226418, score=0.835721 -   1.9s
[CV] c1=1.1937314348058239, c2=0.02595241065558665 ...................
[CV]  c1=1.1937314348058239, c2=0.02595241065558665, score=0.773047 -   1.7s
[CV] c1=0.9385164712530986, c2=0.057230190782493064 ..................
[CV]  c1=0.9385164712530986, c2=0.057230190782493064, score=0.816785 -   1.9s
[CV] c1=0.12103523234211658, c2=0.09620789972646449 ..................
[CV]  c1=0.12103523234211658, c2=0.09620789972646449, score=0.849132 -   1.7s
[CV] c1=1.0140838937425172, c2=0.05158363121295953 ...................
[CV]  c1=1.0140838937425172, c2=0.05158363121295953, score=0.870942 -   1.9s
[CV] c1=0.09824864656652631, c2=0.014710326275351727 .................
[CV]  c1=0.09824864656652631, c2=0.014710326275351727, score=0.890414 -   1.7s
[CV] c1=0.016716184010716135, c2=0.010637593244931994 ................
[CV]  c1=0.016716184010716135, c2=0.010637593244931994, score=0.789174 -   1.5s
[CV] c1=0.7594441252398155, c2=0.008531782965078486 ..................
[CV]  c1=0.7594441252398155, c2=0.008531782965078486, score=0.886776 -   1.8s
[CV] c1=0.22398382861657587, c2=0.05965436551484937 ..................
[CV]  c1=0.22398382861657587, c2=0.05965436551484937, score=0.757564 -   1.5s
[CV] c1=0.05081605865600382, c2=0.05631705296338965 ..................
[CV]  c1=0.05081605865600382, c2=0.05631705296338965, score=0.885384 -   1.3s
[CV] c1=1.302756971099871, c2=0.061093408618863844 ...................
[CV]  c1=1.302756971099871, c2=0.061093408618863844, score=0.691332 -   1.6s
[CV] c1=0.4418625779111857, c2=0.06195882583736187 ...................
[CV]  c1=0.4418625779111857, c2=0.06195882583736187, score=0.738039 -   1.7s
[CV] c1=0.3622506509408261, c2=0.039394245506724435 ..................
[CV]  c1=0.3622506509408261, c2=0.039394245506724435, score=0.874142 -   1.8s
[CV] c1=0.3960588888102324, c2=0.03172749294134378 ...................
[CV]  c1=0.3960588888102324, c2=0.03172749294134378, score=0.897196 -   1.8s
[CV] c1=1.0597633857122255, c2=0.018773434841956694 ..................
[CV]  c1=1.0597633857122255, c2=0.018773434841956694, score=0.870869 -   1.9s
[CV] c1=2.1326372222868204, c2=0.09721903631012513 ...................
[CV]  c1=2.1326372222868204, c2=0.09721903631012513, score=0.621375 -   1.6s
[CV] c1=0.3837388656226509, c2=0.11021624690041246 ...................
[CV]  c1=0.3837388656226509, c2=0.11021624690041246, score=0.831584 -   2.0s
[CV] c1=0.7187698839922303, c2=0.004860869772557454 ..................
[CV]  c1=0.7187698839922303, c2=0.004860869772557454, score=0.885268 -   2.0s
[CV] c1=2.185957389879195, c2=0.05154754060942385 ....................
[CV]  c1=2.185957389879195, c2=0.05154754060942385, score=0.721095 -   1.8s
[CV] c1=0.07078132746426254, c2=0.09840484145066758 ..................
[CV]  c1=0.07078132746426254, c2=0.09840484145066758, score=0.861188 -   1.8s
[CV] c1=1.0647006176274318, c2=0.020123507720328213 ..................
[CV]  c1=1.0647006176274318, c2=0.020123507720328213, score=0.654164 -   1.9s
[CV] c1=0.019829522200352744, c2=0.028100544998610973 ................
[CV]  c1=0.019829522200352744, c2=0.028100544998610973, score=0.813172 -   1.9s
[CV] c1=0.34584530978074457, c2=0.022540795868216144 .................
[CV]  c1=0.34584530978074457, c2=0.022540795868216144, score=0.845517 -   1.5s
[CV] c1=0.12113120928092022, c2=0.04392000284429563 ..................
[CV]  c1=0.12113120928092022, c2=0.04392000284429563, score=0.894035 -   2.1s
[CV] c1=0.24500899389185404, c2=0.09740786432311957 ..................
[CV]  c1=0.24500899389185404, c2=0.09740786432311957, score=0.839929 -   2.3s
[CV] c1=0.11700414020587115, c2=0.021285922893170706 .................
[CV]  c1=0.11700414020587115, c2=0.021285922893170706, score=0.872279 -   1.9s
[CV] c1=0.19526785784753808, c2=0.055125770808636836 .................
[CV]  c1=0.19526785784753808, c2=0.055125770808636836, score=0.773385 -   1.6s
[CV] c1=1.1937314348058239, c2=0.02595241065558665 ...................
[CV]  c1=1.1937314348058239, c2=0.02595241065558665, score=0.629789 -   1.9s
[CV] c1=0.9385164712530986, c2=0.057230190782493064 ..................
[CV]  c1=0.9385164712530986, c2=0.057230190782493064, score=0.773009 -   1.9s
[CV] c1=0.48366185541436857, c2=0.015320655156812912 .................
[CV]  c1=0.48366185541436857, c2=0.015320655156812912, score=0.897876 -   1.9s
[CV] c1=0.21165433423062735, c2=0.15302121662969095 ..................
[CV]  c1=0.21165433423062735, c2=0.15302121662969095, score=0.793329 -   2.4s
[CV] c1=0.13565629355876765, c2=0.04920965718941617 ..................
[CV]  c1=0.13565629355876765, c2=0.04920965718941617, score=0.876044 -   1.9s
[CV] c1=1.0647006176274318, c2=0.020123507720328213 ..................
[CV]  c1=1.0647006176274318, c2=0.020123507720328213, score=0.870869 -   2.0s
[CV] c1=0.019829522200352744, c2=0.028100544998610973 ................
[CV]  c1=0.019829522200352744, c2=0.028100544998610973, score=0.834325 -   1.9s
[CV] c1=0.05081605865600382, c2=0.05631705296338965 ..................
[CV]  c1=0.05081605865600382, c2=0.05631705296338965, score=0.810739 -   1.3s
[CV] c1=1.302756971099871, c2=0.061093408618863844 ...................
[CV]  c1=1.302756971099871, c2=0.061093408618863844, score=0.624019 -   2.0s
[CV] c1=0.2708896101788715, c2=0.011325984307874898 ..................
[CV]  c1=0.2708896101788715, c2=0.011325984307874898, score=0.790487 -   1.9s
[CV] c1=0.1516471539306164, c2=0.011578647004362862 ..................
[CV]  c1=0.1516471539306164, c2=0.011578647004362862, score=0.782546 -   2.0s
[CV] c1=1.0914609429342614, c2=0.07137416854169647 ...................
[CV]  c1=1.0914609429342614, c2=0.07137416854169647, score=0.738866 -   2.0s
[CV] c1=0.03067792073680636, c2=0.016145498908266994 .................
[CV]  c1=0.03067792073680636, c2=0.016145498908266994, score=0.842002 -   1.9s
[CV] c1=0.9385164712530986, c2=0.057230190782493064 ..................
[CV]  c1=0.9385164712530986, c2=0.057230190782493064, score=0.687628 -   1.9s
[CV] c1=0.12103523234211658, c2=0.09620789972646449 ..................
[CV]  c1=0.12103523234211658, c2=0.09620789972646449, score=0.791300 -   1.9s
[CV] c1=1.0140838937425172, c2=0.05158363121295953 ...................
[CV]  c1=1.0140838937425172, c2=0.05158363121295953, score=0.675858 -   1.9s
[CV] c1=0.09824864656652631, c2=0.014710326275351727 .................
[CV]  c1=0.09824864656652631, c2=0.014710326275351727, score=0.870032 -   1.8s
[CV] c1=0.44902846896416876, c2=0.021558329035867834 .................
[CV]  c1=0.44902846896416876, c2=0.021558329035867834, score=0.748189 -   1.5s
[CV] c1=0.7594441252398155, c2=0.008531782965078486 ..................
[CV]  c1=0.7594441252398155, c2=0.008531782965078486, score=0.774729 -   1.8s
[CV] c1=0.9150560000074907, c2=0.031698668631969434 ..................
[CV]  c1=0.9150560000074907, c2=0.031698668631969434, score=0.681902 -   1.5s
[CV] c1=0.05081605865600382, c2=0.05631705296338965 ..................
[CV]  c1=0.05081605865600382, c2=0.05631705296338965, score=0.858948 -   1.3s
Training done in: 26.508686s
     Saving training model...
        Saving training model done in: 0.014503s
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Prediction done in: 0.046938s