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

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Run12_v12.txt 73.1 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: Run12
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: FalseS4: True
Run variant: 12
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003691s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0      1
0        lemma      :
1       postag      :
2     -1:lemma     in
3    -1:postag     IN
4     +1:lemma     m9
5    +1:postag     NN
6       hUpper  False
7       hLower  False
8       hGreek  False
9         symb  False
10    word[:1]      :
11  postag[:1]      :
12        word      :
13     isUpper  False
14     isLower  False
15     isGreek  False
16    isNumber  False
17     -1:word     in
18     +1:word     M9
19      -1:ner      _
20      +1:ner    MED
21      -2:ner      _
22      +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  postag[:1]           N
13  postag[:2]          NN
14        word  delta-arcA
15     isUpper       False
16     isLower       False
17     isGreek       False
18    isNumber       False
19     -1:word           _
20     +1:word           _
21      -1:ner           _
22      +1:ner           _
23      -2:ner           _
24      +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.0991144274615779, c2=0.04202311078885145 ...................
[CV]  c1=0.0991144274615779, c2=0.04202311078885145, score=0.808631 -   1.7s
[CV] c1=0.08173243852937437, c2=0.09573120304656182 ..................
[CV]  c1=0.08173243852937437, c2=0.09573120304656182, score=0.716708 -   1.3s
[CV] c1=0.04487297612170843, c2=0.05432806754896239 ..................
[CV]  c1=0.04487297612170843, c2=0.05432806754896239, score=0.697953 -   1.4s
[CV] c1=0.17510474183480526, c2=0.0076427914605693495 ................
[CV]  c1=0.17510474183480526, c2=0.0076427914605693495, score=0.842336 -   1.6s
[CV] c1=1.8077262904413927, c2=0.04700939345211488 ...................
[CV]  c1=1.8077262904413927, c2=0.04700939345211488, score=0.684765 -   1.6s
[CV] c1=0.561043677194103, c2=0.07078703456077927 ....................
[CV]  c1=0.561043677194103, c2=0.07078703456077927, score=0.680751 -   1.4s
[CV] c1=0.35196484112800475, c2=0.09246347683188022 ..................
[CV]  c1=0.35196484112800475, c2=0.09246347683188022, score=0.675577 -   1.4s
[CV] c1=0.7073611696909204, c2=0.039311462387378635 ..................
[CV]  c1=0.7073611696909204, c2=0.039311462387378635, score=0.668388 -   1.4s
[CV] c1=0.08180923711997821, c2=0.024085539210853688 .................
[CV]  c1=0.08180923711997821, c2=0.024085539210853688, score=0.885214 -   1.7s
[CV] c1=0.5011018301717377, c2=0.057898963866423396 ..................
[CV]  c1=0.5011018301717377, c2=0.057898963866423396, score=0.705022 -   1.4s
[CV] c1=0.6145700085582823, c2=0.01175293625158095 ...................
[CV]  c1=0.6145700085582823, c2=0.01175293625158095, score=0.850818 -   1.7s
[CV] c1=0.2913291099111667, c2=0.008055492420391996 ..................
[CV]  c1=0.2913291099111667, c2=0.008055492420391996, score=0.802727 -   1.8s
[CV] c1=0.5514279352287558, c2=0.042356125995427395 ..................
[CV]  c1=0.5514279352287558, c2=0.042356125995427395, score=0.734148 -   1.4s
[CV] c1=0.04212389482880347, c2=0.09411813383649018 ..................
[CV]  c1=0.04212389482880347, c2=0.09411813383649018, score=0.808631 -   1.7s
[CV] c1=0.5333345186994491, c2=0.0941878792500696 ....................
[CV]  c1=0.5333345186994491, c2=0.0941878792500696, score=0.858457 -   1.6s
[CV] c1=0.8413870100963081, c2=0.0009656863634233608 .................
[CV]  c1=0.8413870100963081, c2=0.0009656863634233608, score=0.805667 -   1.6s
[CV] c1=0.079739976098887, c2=0.017602712461435972 ...................
[CV]  c1=0.079739976098887, c2=0.017602712461435972, score=0.796543 -   1.6s
[CV] c1=0.024526019449188374, c2=0.013240429729734052 ................
[CV]  c1=0.024526019449188374, c2=0.013240429729734052, score=0.808656 -   1.7s
[CV] c1=0.14323164582067435, c2=0.01848697217297892 ..................
[CV]  c1=0.14323164582067435, c2=0.01848697217297892, score=0.851061 -   1.6s
[CV] c1=0.7073611696909204, c2=0.039311462387378635 ..................
[CV]  c1=0.7073611696909204, c2=0.039311462387378635, score=0.807750 -   1.6s
[CV] c1=0.12001896504573892, c2=0.06596252114268043 ..................
[CV]  c1=0.12001896504573892, c2=0.06596252114268043, score=0.738138 -   1.3s
[CV] c1=0.36342728549546166, c2=0.17200706229449358 ..................
[CV]  c1=0.36342728549546166, c2=0.17200706229449358, score=0.813917 -   1.6s
[CV] c1=0.6145700085582823, c2=0.01175293625158095 ...................
[CV]  c1=0.6145700085582823, c2=0.01175293625158095, score=0.710918 -   1.6s
[CV] c1=0.2913291099111667, c2=0.008055492420391996 ..................
[CV]  c1=0.2913291099111667, c2=0.008055492420391996, score=0.778859 -   1.3s
[CV] c1=0.3444624354839956, c2=0.02773138580891417 ...................
[CV]  c1=0.3444624354839956, c2=0.02773138580891417, score=0.813961 -   1.7s
[CV] c1=0.27572725028302014, c2=0.0619363749563326 ...................
[CV]  c1=0.27572725028302014, c2=0.0619363749563326, score=0.885038 -   1.5s
[CV] c1=1.1792269668634732, c2=0.0426391385491304 ....................
[CV]  c1=1.1792269668634732, c2=0.0426391385491304, score=0.631560 -   1.7s
[CV] c1=0.22933145291777077, c2=0.006034411950336791 .................
[CV]  c1=0.22933145291777077, c2=0.006034411950336791, score=0.781415 -   1.7s
[CV] c1=0.0963126849233759, c2=0.03670066288914723 ...................
[CV]  c1=0.0963126849233759, c2=0.03670066288914723, score=0.802156 -   1.7s
[CV] c1=0.4776755071737936, c2=0.02450946241509314 ...................
[CV]  c1=0.4776755071737936, c2=0.02450946241509314, score=0.870986 -   1.7s
[CV] c1=0.6267055972846722, c2=0.04259424776559925 ...................
[CV]  c1=0.6267055972846722, c2=0.04259424776559925, score=0.707323 -   1.4s
[CV] c1=0.4714515745389565, c2=0.003130271348477335 ..................
[CV]  c1=0.4714515745389565, c2=0.003130271348477335, score=0.722869 -   1.4s
[CV] c1=1.0036930436036413, c2=0.03802219559165432 ...................
[CV]  c1=1.0036930436036413, c2=0.03802219559165432, score=0.804801 -   1.6s
[CV] c1=0.7258291917720434, c2=0.1186373299437711 ....................
[CV]  c1=0.7258291917720434, c2=0.1186373299437711, score=0.690449 -   1.6s
[CV] c1=0.13864402685051158, c2=0.16712319319667313 ..................
[CV]  c1=0.13864402685051158, c2=0.16712319319667313, score=0.766868 -   1.7s
[CV] c1=0.5542338702595682, c2=0.030743068125510965 ..................
[CV]  c1=0.5542338702595682, c2=0.030743068125510965, score=0.798893 -   2.2s
[CV] c1=1.305154705487105, c2=0.05235146796717526 ....................
[CV]  c1=1.305154705487105, c2=0.05235146796717526, score=0.814951 -   1.8s
[CV] c1=0.27572725028302014, c2=0.0619363749563326 ...................
[CV]  c1=0.27572725028302014, c2=0.0619363749563326, score=0.839236 -   1.5s
[CV] c1=1.1792269668634732, c2=0.0426391385491304 ....................
[CV]  c1=1.1792269668634732, c2=0.0426391385491304, score=0.792917 -   1.6s
[CV] c1=0.22933145291777077, c2=0.006034411950336791 .................
[CV]  c1=0.22933145291777077, c2=0.006034411950336791, score=0.779732 -   1.7s
[CV] c1=0.0963126849233759, c2=0.03670066288914723 ...................
[CV]  c1=0.0963126849233759, c2=0.03670066288914723, score=0.880120 -   1.7s
[CV] c1=0.3074173947409216, c2=0.10245704084908419 ...................
[CV]  c1=0.3074173947409216, c2=0.10245704084908419, score=0.873428 -   1.8s
[CV] c1=0.4269446190728624, c2=0.0675057489158606 ....................
[CV]  c1=0.4269446190728624, c2=0.0675057489158606, score=0.759398 -   1.8s
[CV] c1=0.1994183047561613, c2=0.06434142844547544 ...................
[CV]  c1=0.1994183047561613, c2=0.06434142844547544, score=0.774423 -   1.8s
[CV] c1=0.7848547656900797, c2=0.00021939548027473567 ................
[CV]  c1=0.7848547656900797, c2=0.00021939548027473567, score=0.738834 -   1.4s
[CV] c1=1.0612448346898529, c2=0.037273006023971364 ..................
[CV]  c1=1.0612448346898529, c2=0.037273006023971364, score=0.629460 -   1.5s
[CV] c1=0.621012446250396, c2=0.020680859847197697 ...................
[CV]  c1=0.621012446250396, c2=0.020680859847197697, score=0.713713 -   1.8s
[CV] c1=0.47538468265272543, c2=0.1002962459492955 ...................
[CV]  c1=0.47538468265272543, c2=0.1002962459492955, score=0.868739 -   1.8s
[CV] c1=0.3444624354839956, c2=0.02773138580891417 ...................
[CV]  c1=0.3444624354839956, c2=0.02773138580891417, score=0.777671 -   1.8s
[CV] c1=0.03585223624848399, c2=0.021093558863768107 .................
[CV]  c1=0.03585223624848399, c2=0.021093558863768107, score=0.853841 -   1.1s
[CV] c1=0.06216309860062093, c2=0.012764147692220533 .................
[CV]  c1=0.06216309860062093, c2=0.012764147692220533, score=0.803389 -   1.8s
[CV] c1=0.5333345186994491, c2=0.0941878792500696 ....................
[CV]  c1=0.5333345186994491, c2=0.0941878792500696, score=0.822437 -   1.8s
[CV] c1=0.17510474183480526, c2=0.0076427914605693495 ................
[CV]  c1=0.17510474183480526, c2=0.0076427914605693495, score=0.777421 -   1.4s
[CV] c1=1.5130239329561945, c2=0.07133343468738385 ...................
[CV]  c1=1.5130239329561945, c2=0.07133343468738385, score=0.615282 -   1.9s
[CV] c1=0.04239245450819099, c2=0.008583230533580724 .................
[CV]  c1=0.04239245450819099, c2=0.008583230533580724, score=0.787700 -   1.9s
[CV] c1=0.8358505132642201, c2=0.17115132382269244 ...................
[CV]  c1=0.8358505132642201, c2=0.17115132382269244, score=0.801705 -   1.7s
[CV] c1=1.0036930436036413, c2=0.03802219559165432 ...................
[CV]  c1=1.0036930436036413, c2=0.03802219559165432, score=0.765633 -   1.8s
[CV] c1=0.3140811877341032, c2=0.056529424609847216 ..................
[CV]  c1=0.3140811877341032, c2=0.056529424609847216, score=0.755018 -   1.8s
[CV] c1=0.621012446250396, c2=0.020680859847197697 ...................
[CV]  c1=0.621012446250396, c2=0.020680859847197697, score=0.787144 -   1.8s
[CV] c1=0.47538468265272543, c2=0.1002962459492955 ...................
[CV]  c1=0.47538468265272543, c2=0.1002962459492955, score=0.810589 -   1.8s
[CV] c1=1.305154705487105, c2=0.05235146796717526 ....................
[CV]  c1=1.305154705487105, c2=0.05235146796717526, score=0.648090 -   1.8s
[CV] c1=0.2996450356946964, c2=0.05023092304461886 ...................
[CV]  c1=0.2996450356946964, c2=0.05023092304461886, score=0.829247 -   1.6s
[CV] c1=1.1408511170785476, c2=0.005479080536394964 ..................
[CV]  c1=1.1408511170785476, c2=0.005479080536394964, score=0.645885 -   1.8s
[CV] c1=0.8456331551217471, c2=0.06349373499305665 ...................
[CV]  c1=0.8456331551217471, c2=0.06349373499305665, score=0.806368 -   1.8s
[CV] c1=0.6191435275855701, c2=0.15686015074828502 ...................
[CV]  c1=0.6191435275855701, c2=0.15686015074828502, score=0.804336 -   1.6s
[CV] c1=0.9122272361838781, c2=0.029984160287325475 ..................
[CV]  c1=0.9122272361838781, c2=0.029984160287325475, score=0.800597 -   1.7s
[CV] c1=0.14153859658037993, c2=0.026819743540834984 .................
[CV]  c1=0.14153859658037993, c2=0.026819743540834984, score=0.868412 -   1.6s
[CV] c1=0.35513744586290896, c2=0.0021516212500096825 ................
[CV]  c1=0.35513744586290896, c2=0.0021516212500096825, score=0.877301 -   1.7s
[CV] c1=0.08180923711997821, c2=0.024085539210853688 .................
[CV]  c1=0.08180923711997821, c2=0.024085539210853688, score=0.724861 -   1.4s
[CV] c1=0.3504465423889274, c2=0.0265030831622615 ....................
[CV]  c1=0.3504465423889274, c2=0.0265030831622615, score=0.784147 -   1.7s
[CV] c1=0.02112014723480897, c2=0.09584662178903668 ..................
[CV]  c1=0.02112014723480897, c2=0.09584662178903668, score=0.853985 -   1.6s
[CV] c1=0.30383753982294615, c2=0.13717741648939827 ..................
[CV]  c1=0.30383753982294615, c2=0.13717741648939827, score=0.836250 -   1.7s
[CV] c1=1.305154705487105, c2=0.05235146796717526 ....................
[CV]  c1=1.305154705487105, c2=0.05235146796717526, score=0.782566 -   1.7s
[CV] c1=0.27572725028302014, c2=0.0619363749563326 ...................
[CV]  c1=0.27572725028302014, c2=0.0619363749563326, score=0.817038 -   1.5s
[CV] c1=1.1792269668634732, c2=0.0426391385491304 ....................
[CV]  c1=1.1792269668634732, c2=0.0426391385491304, score=0.658434 -   1.8s
[CV] c1=0.04487297612170843, c2=0.05432806754896239 ..................
[CV]  c1=0.04487297612170843, c2=0.05432806754896239, score=0.791285 -   1.7s
[CV] c1=0.08334057625442796, c2=0.0020884819310217602 ................
[CV]  c1=0.08334057625442796, c2=0.0020884819310217602, score=0.760394 -   1.3s
[CV] c1=0.2188814043018058, c2=0.02497100928863987 ...................
[CV]  c1=0.2188814043018058, c2=0.02497100928863987, score=0.837601 -   1.6s
[CV] c1=1.0513308713368994, c2=0.01800320536720713 ...................
[CV]  c1=1.0513308713368994, c2=0.01800320536720713, score=0.661713 -   1.7s
[CV] c1=0.08338061919657337, c2=0.0038834449014811764 ................
[CV]  c1=0.08338061919657337, c2=0.0038834449014811764, score=0.843188 -   1.6s
[CV] c1=0.4215490852662269, c2=0.07944005239321074 ...................
[CV]  c1=0.4215490852662269, c2=0.07944005239321074, score=0.820420 -   1.8s
[CV] c1=1.0612448346898529, c2=0.037273006023971364 ..................
[CV]  c1=1.0612448346898529, c2=0.037273006023971364, score=0.660284 -   1.9s
[CV] c1=0.02112014723480897, c2=0.09584662178903668 ..................
[CV]  c1=0.02112014723480897, c2=0.09584662178903668, score=0.828207 -   1.7s
[CV] c1=0.30383753982294615, c2=0.13717741648939827 ..................
[CV]  c1=0.30383753982294615, c2=0.13717741648939827, score=0.787573 -   1.7s
[CV] c1=0.2996228398666964, c2=0.007555846761127663 ..................
[CV]  c1=0.2996228398666964, c2=0.007555846761127663, score=0.879820 -   1.7s
[CV] c1=0.44931488549193394, c2=0.021435441170788508 .................
[CV]  c1=0.44931488549193394, c2=0.021435441170788508, score=0.839344 -   1.5s
[CV] c1=0.5393952708397188, c2=0.015174879391322536 ..................
[CV]  c1=0.5393952708397188, c2=0.015174879391322536, score=0.797977 -   1.7s
[CV] c1=0.22933145291777077, c2=0.006034411950336791 .................
[CV]  c1=0.22933145291777077, c2=0.006034411950336791, score=0.699347 -   1.4s
[CV] c1=0.17510474183480526, c2=0.0076427914605693495 ................
[CV]  c1=0.17510474183480526, c2=0.0076427914605693495, score=0.785467 -   1.8s
[CV] c1=0.2188814043018058, c2=0.02497100928863987 ...................
[CV]  c1=0.2188814043018058, c2=0.02497100928863987, score=0.888960 -   1.6s
[CV] c1=1.0513308713368994, c2=0.01800320536720713 ...................
[CV]  c1=1.0513308713368994, c2=0.01800320536720713, score=0.849458 -   1.7s
[CV] c1=0.08338061919657337, c2=0.0038834449014811764 ................
[CV]  c1=0.08338061919657337, c2=0.0038834449014811764, score=0.879761 -   1.7s
[CV] c1=0.4215490852662269, c2=0.07944005239321074 ...................
[CV]  c1=0.4215490852662269, c2=0.07944005239321074, score=0.683146 -   1.6s
[CV] c1=0.7258291917720434, c2=0.1186373299437711 ....................
[CV]  c1=0.7258291917720434, c2=0.1186373299437711, score=0.752190 -   1.7s
[CV] c1=0.621012446250396, c2=0.020680859847197697 ...................
[CV]  c1=0.621012446250396, c2=0.020680859847197697, score=0.743120 -   1.4s
[CV] c1=0.5542338702595682, c2=0.030743068125510965 ..................
[CV]  c1=0.5542338702595682, c2=0.030743068125510965, score=0.706623 -   1.4s
[CV] c1=2.5475669875641387, c2=0.005985844822113057 ..................
[CV]  c1=2.5475669875641387, c2=0.005985844822113057, score=0.498647 -   1.5s
[CV] c1=0.1597825940499268, c2=0.020027742262949975 ..................
[CV]  c1=0.1597825940499268, c2=0.020027742262949975, score=0.764396 -   1.3s
[CV] c1=0.3232850946253043, c2=0.14110170446533316 ...................
[CV]  c1=0.3232850946253043, c2=0.14110170446533316, score=0.867494 -   1.6s
[CV] c1=0.23041475567761494, c2=0.08179287092828802 ..................
[CV]  c1=0.23041475567761494, c2=0.08179287092828802, score=0.675081 -   1.5s
[CV] c1=0.09958610835298123, c2=0.06254727890113948 ..................
[CV]  c1=0.09958610835298123, c2=0.06254727890113948, score=0.847591 -   1.6s
[CV] c1=0.6191435275855701, c2=0.15686015074828502 ...................
[CV]  c1=0.6191435275855701, c2=0.15686015074828502, score=0.688347 -   1.9s
[CV] c1=0.024526019449188374, c2=0.013240429729734052 ................
[CV]  c1=0.024526019449188374, c2=0.013240429729734052, score=0.809884 -   1.4s
[CV] c1=0.14153859658037993, c2=0.026819743540834984 .................
[CV]  c1=0.14153859658037993, c2=0.026819743540834984, score=0.685319 -   1.2s
[CV] c1=0.4714515745389565, c2=0.003130271348477335 ..................
[CV]  c1=0.4714515745389565, c2=0.003130271348477335, score=0.794712 -   1.7s
[CV] c1=0.276008682254962, c2=0.003749090172646877 ...................
[CV]  c1=0.276008682254962, c2=0.003749090172646877, score=0.877157 -   1.7s
[CV] c1=1.0612448346898529, c2=0.037273006023971364 ..................
[CV]  c1=1.0612448346898529, c2=0.037273006023971364, score=0.612538 -   1.7s
[CV] c1=0.12591515982423077, c2=0.06253228729306687 ..................
[CV]  c1=0.12591515982423077, c2=0.06253228729306687, score=0.784835 -   1.7s
[CV] c1=0.30383753982294615, c2=0.13717741648939827 ..................
[CV]  c1=0.30383753982294615, c2=0.13717741648939827, score=0.876901 -   2.0s
[CV] c1=0.2996228398666964, c2=0.007555846761127663 ..................
[CV]  c1=0.2996228398666964, c2=0.007555846761127663, score=0.832528 -   1.7s
[CV] c1=0.44931488549193394, c2=0.021435441170788508 .................
[CV]  c1=0.44931488549193394, c2=0.021435441170788508, score=0.816648 -   1.4s
[CV] c1=0.5393952708397188, c2=0.015174879391322536 ..................
[CV]  c1=0.5393952708397188, c2=0.015174879391322536, score=0.804111 -   1.6s
[CV] c1=0.2937697105808201, c2=0.018248985189098645 ..................
[CV]  c1=0.2937697105808201, c2=0.018248985189098645, score=0.832528 -   1.6s
[CV] c1=0.17510474183480526, c2=0.0076427914605693495 ................
[CV]  c1=0.17510474183480526, c2=0.0076427914605693495, score=0.817948 -   1.8s
[CV] c1=0.2188814043018058, c2=0.02497100928863987 ...................
[CV]  c1=0.2188814043018058, c2=0.02497100928863987, score=0.793425 -   1.8s
[CV] c1=1.0513308713368994, c2=0.01800320536720713 ...................
[CV]  c1=1.0513308713368994, c2=0.01800320536720713, score=0.660626 -   1.8s
[CV] c1=0.4714515745389565, c2=0.003130271348477335 ..................
[CV]  c1=0.4714515745389565, c2=0.003130271348477335, score=0.773867 -   1.8s
[CV] c1=0.276008682254962, c2=0.003749090172646877 ...................
[CV]  c1=0.276008682254962, c2=0.003749090172646877, score=0.787555 -   1.7s
[CV] c1=0.3504465423889274, c2=0.0265030831622615 ....................
[CV]  c1=0.3504465423889274, c2=0.0265030831622615, score=0.832528 -   1.7s
[CV] c1=0.02112014723480897, c2=0.09584662178903668 ..................
[CV]  c1=0.02112014723480897, c2=0.09584662178903668, score=0.817745 -   1.7s
[CV] c1=0.2913291099111667, c2=0.008055492420391996 ..................
[CV]  c1=0.2913291099111667, c2=0.008055492420391996, score=0.832528 -   1.6s
[CV] c1=0.2996228398666964, c2=0.007555846761127663 ..................
[CV]  c1=0.2996228398666964, c2=0.007555846761127663, score=0.793153 -   1.7s
[CV] c1=0.2996450356946964, c2=0.05023092304461886 ...................
[CV]  c1=0.2996450356946964, c2=0.05023092304461886, score=0.820391 -   1.6s
[CV] c1=0.06647913494849882, c2=0.037364246332160095 .................
[CV]  c1=0.06647913494849882, c2=0.037364246332160095, score=0.879107 -   1.7s
[CV] c1=0.8456331551217471, c2=0.06349373499305665 ...................
[CV]  c1=0.8456331551217471, c2=0.06349373499305665, score=0.686355 -   1.7s
[CV] c1=0.08334057625442796, c2=0.0020884819310217602 ................
[CV]  c1=0.08334057625442796, c2=0.0020884819310217602, score=0.837106 -   1.6s
[CV] c1=0.4776755071737936, c2=0.02450946241509314 ...................
[CV]  c1=0.4776755071737936, c2=0.02450946241509314, score=0.754864 -   1.8s
[CV] c1=0.016314904328327696, c2=0.12284863933243316 .................
[CV]  c1=0.016314904328327696, c2=0.12284863933243316, score=0.839677 -   1.8s
[CV] c1=0.35513744586290896, c2=0.0021516212500096825 ................
[CV]  c1=0.35513744586290896, c2=0.0021516212500096825, score=0.775913 -   1.8s
[CV] c1=0.12001896504573892, c2=0.06596252114268043 ..................
[CV]  c1=0.12001896504573892, c2=0.06596252114268043, score=0.882747 -   1.7s
[CV] c1=0.2356090406289104, c2=0.16647340721958387 ...................
[CV]  c1=0.2356090406289104, c2=0.16647340721958387, score=0.871565 -   1.7s
[CV] c1=1.6041972207204112, c2=0.020976461273219407 ..................
[CV]  c1=1.6041972207204112, c2=0.020976461273219407, score=0.548986 -   1.4s
[CV] c1=0.1890343146681929, c2=0.033573073945875574 ..................
[CV]  c1=0.1890343146681929, c2=0.033573073945875574, score=0.694572 -   1.4s
[CV] c1=1.305154705487105, c2=0.05235146796717526 ....................
[CV]  c1=1.305154705487105, c2=0.05235146796717526, score=0.605786 -   1.7s
[CV] c1=0.05146720112632569, c2=0.013612032963592695 .................
[CV]  c1=0.05146720112632569, c2=0.013612032963592695, score=0.808753 -   1.7s
[CV] c1=0.23041475567761494, c2=0.08179287092828802 ..................
[CV]  c1=0.23041475567761494, c2=0.08179287092828802, score=0.873544 -   1.7s
[CV] c1=0.28070543473380255, c2=0.02952141750161069 ..................
[CV]  c1=0.28070543473380255, c2=0.02952141750161069, score=0.748023 -   1.4s
[CV] c1=0.08334057625442796, c2=0.0020884819310217602 ................
[CV]  c1=0.08334057625442796, c2=0.0020884819310217602, score=0.803530 -   1.6s
[CV] c1=0.9122272361838781, c2=0.029984160287325475 ..................
[CV]  c1=0.9122272361838781, c2=0.029984160287325475, score=0.858867 -   1.7s
[CV] c1=0.016314904328327696, c2=0.12284863933243316 .................
[CV]  c1=0.016314904328327696, c2=0.12284863933243316, score=0.828207 -   1.6s
[CV] c1=0.1118266320201541, c2=0.013414114805631584 ..................
[CV]  c1=0.1118266320201541, c2=0.013414114805631584, score=0.734246 -   1.4s
[CV] c1=0.038206662775031326, c2=0.0034110619997558705 ...............
[CV]  c1=0.038206662775031326, c2=0.0034110619997558705, score=0.844655 -   2.0s
[CV] c1=0.36342728549546166, c2=0.17200706229449358 ..................
[CV]  c1=0.36342728549546166, c2=0.17200706229449358, score=0.724908 -   1.7s
[CV] c1=0.16579232048438644, c2=0.0025196310828505225 ................
[CV]  c1=0.16579232048438644, c2=0.0025196310828505225, score=0.863743 -   1.7s
[CV] c1=0.1890343146681929, c2=0.033573073945875574 ..................
[CV]  c1=0.1890343146681929, c2=0.033573073945875574, score=0.870460 -   1.6s
[CV] c1=0.2996228398666964, c2=0.007555846761127663 ..................
[CV]  c1=0.2996228398666964, c2=0.007555846761127663, score=0.805171 -   1.7s
[CV] c1=0.04212389482880347, c2=0.09411813383649018 ..................
[CV]  c1=0.04212389482880347, c2=0.09411813383649018, score=0.847591 -   1.6s
[CV] c1=0.11657009467311162, c2=0.004904897062733327 .................
[CV]  c1=0.11657009467311162, c2=0.004904897062733327, score=0.859433 -   1.7s
[CV] c1=0.8413870100963081, c2=0.0009656863634233608 .................
[CV]  c1=0.8413870100963081, c2=0.0009656863634233608, score=0.702797 -   1.7s
[CV] c1=0.079739976098887, c2=0.017602712461435972 ...................
[CV]  c1=0.079739976098887, c2=0.017602712461435972, score=0.791071 -   1.7s
[CV] c1=0.024526019449188374, c2=0.013240429729734052 ................
[CV]  c1=0.024526019449188374, c2=0.013240429729734052, score=0.808631 -   1.7s
[CV] c1=0.35196484112800475, c2=0.09246347683188022 ..................
[CV]  c1=0.35196484112800475, c2=0.09246347683188022, score=0.867494 -   1.7s
[CV] c1=0.08774099882965264, c2=0.14967500639345688 ..................
[CV]  c1=0.08774099882965264, c2=0.14967500639345688, score=0.718502 -   1.3s
[CV] c1=0.08180923711997821, c2=0.024085539210853688 .................
[CV]  c1=0.08180923711997821, c2=0.024085539210853688, score=0.790144 -   1.7s
[CV] c1=0.2356090406289104, c2=0.16647340721958387 ...................
[CV]  c1=0.2356090406289104, c2=0.16647340721958387, score=0.670749 -   1.3s
[CV] c1=0.6145700085582823, c2=0.01175293625158095 ...................
[CV]  c1=0.6145700085582823, c2=0.01175293625158095, score=0.798024 -   1.6s
[CV] c1=0.2913291099111667, c2=0.008055492420391996 ..................
[CV]  c1=0.2913291099111667, c2=0.008055492420391996, score=0.789150 -   1.8s
[CV] c1=0.5514279352287558, c2=0.042356125995427395 ..................
[CV]  c1=0.5514279352287558, c2=0.042356125995427395, score=0.863375 -   1.7s
[CV] c1=0.04212389482880347, c2=0.09411813383649018 ..................
[CV]  c1=0.04212389482880347, c2=0.09411813383649018, score=0.880454 -   1.7s
[CV] c1=0.11657009467311162, c2=0.004904897062733327 .................
[CV]  c1=0.11657009467311162, c2=0.004904897062733327, score=0.767545 -   1.4s
[CV] c1=0.09958610835298123, c2=0.06254727890113948 ..................
[CV]  c1=0.09958610835298123, c2=0.06254727890113948, score=0.784072 -   1.8s
[CV] c1=1.183975919392042, c2=0.015907346294287125 ...................
[CV]  c1=1.183975919392042, c2=0.015907346294287125, score=0.641248 -   1.8s
[CV] c1=0.597576517054013, c2=0.04138989469586004 ....................
[CV]  c1=0.597576517054013, c2=0.04138989469586004, score=0.705941 -   2.1s
[CV] c1=0.35196484112800475, c2=0.09246347683188022 ..................
[CV]  c1=0.35196484112800475, c2=0.09246347683188022, score=0.834028 -   1.7s
[CV] c1=0.08774099882965264, c2=0.14967500639345688 ..................
[CV]  c1=0.08774099882965264, c2=0.14967500639345688, score=0.795674 -   1.8s
[CV] c1=0.7258291917720434, c2=0.1186373299437711 ....................
[CV]  c1=0.7258291917720434, c2=0.1186373299437711, score=0.666887 -   1.4s
[CV] c1=1.3032974925166083, c2=0.0705881528334066 ....................
[CV]  c1=1.3032974925166083, c2=0.0705881528334066, score=0.571618 -   1.3s
[CV] c1=0.16579232048438644, c2=0.0025196310828505225 ................
[CV]  c1=0.16579232048438644, c2=0.0025196310828505225, score=0.797458 -   1.7s
[CV] c1=0.3817607502502253, c2=0.004526957461175974 ..................
[CV]  c1=0.3817607502502253, c2=0.004526957461175974, score=0.709959 -   1.5s
[CV] c1=0.5514279352287558, c2=0.042356125995427395 ..................
[CV]  c1=0.5514279352287558, c2=0.042356125995427395, score=0.726128 -   1.6s
[CV] c1=0.3232850946253043, c2=0.14110170446533316 ...................
[CV]  c1=0.3232850946253043, c2=0.14110170446533316, score=0.807614 -   1.7s
[CV] c1=0.11657009467311162, c2=0.004904897062733327 .................
[CV]  c1=0.11657009467311162, c2=0.004904897062733327, score=0.841673 -   1.6s
[CV] c1=0.8413870100963081, c2=0.0009656863634233608 .................
[CV]  c1=0.8413870100963081, c2=0.0009656863634233608, score=0.679627 -   1.3s
[CV] c1=0.6191435275855701, c2=0.15686015074828502 ...................
[CV]  c1=0.6191435275855701, c2=0.15686015074828502, score=0.730332 -   1.7s
[CV] c1=0.597576517054013, c2=0.04138989469586004 ....................
[CV]  c1=0.597576517054013, c2=0.04138989469586004, score=0.701199 -   1.4s
[CV] c1=0.6267055972846722, c2=0.04259424776559925 ...................
[CV]  c1=0.6267055972846722, c2=0.04259424776559925, score=0.710887 -   1.8s
[CV] c1=0.1118266320201541, c2=0.013414114805631584 ..................
[CV]  c1=0.1118266320201541, c2=0.013414114805631584, score=0.842229 -   1.6s
[CV] c1=0.7848547656900797, c2=0.00021939548027473567 ................
[CV]  c1=0.7848547656900797, c2=0.00021939548027473567, score=0.705186 -   1.8s
[CV] c1=0.5011018301717377, c2=0.057898963866423396 ..................
[CV]  c1=0.5011018301717377, c2=0.057898963866423396, score=0.734858 -   1.9s
[CV] c1=1.6041972207204112, c2=0.020976461273219407 ..................
[CV]  c1=1.6041972207204112, c2=0.020976461273219407, score=0.723984 -   1.6s
[CV] c1=0.3817607502502253, c2=0.004526957461175974 ..................
[CV]  c1=0.3817607502502253, c2=0.004526957461175974, score=0.831166 -   1.7s
[CV] c1=0.1584293455850237, c2=0.02090802933009503 ...................
[CV]  c1=0.1584293455850237, c2=0.02090802933009503, score=0.732767 -   1.3s
[CV] c1=0.03585223624848399, c2=0.021093558863768107 .................
[CV]  c1=0.03585223624848399, c2=0.021093558863768107, score=0.867488 -   1.3s
[CV] c1=0.06216309860062093, c2=0.012764147692220533 .................
[CV]  c1=0.06216309860062093, c2=0.012764147692220533, score=0.801171 -   1.6s
[CV] c1=0.5333345186994491, c2=0.0941878792500696 ....................
[CV]  c1=0.5333345186994491, c2=0.0941878792500696, score=0.708223 -   1.7s
[CV] c1=0.5315567298367272, c2=0.1223862272815143 ....................
[CV]  c1=0.5315567298367272, c2=0.1223862272815143, score=0.710814 -   1.8s
[CV] c1=1.5130239329561945, c2=0.07133343468738385 ...................
[CV]  c1=1.5130239329561945, c2=0.07133343468738385, score=0.584420 -   1.8s
[CV] c1=0.561043677194103, c2=0.07078703456077927 ....................
[CV]  c1=0.561043677194103, c2=0.07078703456077927, score=0.830730 -   1.7s
[CV] c1=0.8358505132642201, c2=0.17115132382269244 ...................
[CV]  c1=0.8358505132642201, c2=0.17115132382269244, score=0.654982 -   1.8s
[CV] c1=0.4215490852662269, c2=0.07944005239321074 ...................
[CV]  c1=0.4215490852662269, c2=0.07944005239321074, score=0.744044 -   2.1s
[CV] c1=0.3504465423889274, c2=0.0265030831622615 ....................
[CV]  c1=0.3504465423889274, c2=0.0265030831622615, score=0.826720 -   1.8s
[CV] c1=0.6145700085582823, c2=0.01175293625158095 ...................
[CV]  c1=0.6145700085582823, c2=0.01175293625158095, score=0.796993 -   1.8s
[CV] c1=0.3817607502502253, c2=0.004526957461175974 ..................
[CV]  c1=0.3817607502502253, c2=0.004526957461175974, score=0.885357 -   1.7s
[CV] c1=0.1597825940499268, c2=0.020027742262949975 ..................
[CV]  c1=0.1597825940499268, c2=0.020027742262949975, score=0.880930 -   1.5s
[CV] c1=0.2996450356946964, c2=0.05023092304461886 ...................
[CV]  c1=0.2996450356946964, c2=0.05023092304461886, score=0.875638 -   1.6s
[CV] c1=1.1408511170785476, c2=0.005479080536394964 ..................
[CV]  c1=1.1408511170785476, c2=0.005479080536394964, score=0.799455 -   1.6s
[CV] c1=0.04487297612170843, c2=0.05432806754896239 ..................
[CV]  c1=0.04487297612170843, c2=0.05432806754896239, score=0.840059 -   1.6s
[CV] c1=0.0963126849233759, c2=0.03670066288914723 ...................
[CV]  c1=0.0963126849233759, c2=0.03670066288914723, score=0.734102 -   1.4s
[CV] c1=1.8077262904413927, c2=0.04700939345211488 ...................
[CV]  c1=1.8077262904413927, c2=0.04700939345211488, score=0.544767 -   1.7s
[CV] c1=1.0513308713368994, c2=0.01800320536720713 ...................
[CV]  c1=1.0513308713368994, c2=0.01800320536720713, score=0.635629 -   1.5s
[CV] c1=0.8358505132642201, c2=0.17115132382269244 ...................
[CV]  c1=0.8358505132642201, c2=0.17115132382269244, score=0.614336 -   1.4s
[CV] c1=0.08774099882965264, c2=0.14967500639345688 ..................
[CV]  c1=0.08774099882965264, c2=0.14967500639345688, score=0.794184 -   1.8s
[CV] c1=0.7258291917720434, c2=0.1186373299437711 ....................
[CV]  c1=0.7258291917720434, c2=0.1186373299437711, score=0.867150 -   1.7s
[CV] c1=0.13864402685051158, c2=0.16712319319667313 ..................
[CV]  c1=0.13864402685051158, c2=0.16712319319667313, score=0.708907 -   1.3s
[CV] c1=0.9126202944898565, c2=0.05922727171077746 ...................
[CV]  c1=0.9126202944898565, c2=0.05922727171077746, score=0.679125 -   1.3s
[CV] c1=0.1890343146681929, c2=0.033573073945875574 ..................
[CV]  c1=0.1890343146681929, c2=0.033573073945875574, score=0.847591 -   1.7s
[CV] c1=0.5514279352287558, c2=0.042356125995427395 ..................
[CV]  c1=0.5514279352287558, c2=0.042356125995427395, score=0.804986 -   1.6s
[CV] c1=0.03585223624848399, c2=0.021093558863768107 .................
[CV]  c1=0.03585223624848399, c2=0.021093558863768107, score=0.709895 -   1.2s
[CV] c1=0.06216309860062093, c2=0.012764147692220533 .................
[CV]  c1=0.06216309860062093, c2=0.012764147692220533, score=0.777869 -   1.3s
[CV] c1=0.11657009467311162, c2=0.004904897062733327 .................
[CV]  c1=0.11657009467311162, c2=0.004904897062733327, score=0.790290 -   1.8s
[CV] c1=0.5315567298367272, c2=0.1223862272815143 ....................
[CV]  c1=0.5315567298367272, c2=0.1223862272815143, score=0.851240 -   1.7s
[CV] c1=1.5130239329561945, c2=0.07133343468738385 ...................
[CV]  c1=1.5130239329561945, c2=0.07133343468738385, score=0.795924 -   1.7s
[CV] c1=0.04239245450819099, c2=0.008583230533580724 .................
[CV]  c1=0.04239245450819099, c2=0.008583230533580724, score=0.692133 -   1.4s
[CV] c1=0.14153859658037993, c2=0.026819743540834984 .................
[CV]  c1=0.14153859658037993, c2=0.026819743540834984, score=0.820391 -   1.8s
[CV] c1=0.7073611696909204, c2=0.039311462387378635 ..................
[CV]  c1=0.7073611696909204, c2=0.039311462387378635, score=0.696727 -   1.8s
[CV] c1=0.12001896504573892, c2=0.06596252114268043 ..................
[CV]  c1=0.12001896504573892, c2=0.06596252114268043, score=0.846433 -   1.7s
[CV] c1=0.2356090406289104, c2=0.16647340721958387 ...................
[CV]  c1=0.2356090406289104, c2=0.16647340721958387, score=0.793017 -   1.8s
[CV] c1=0.9126202944898565, c2=0.05922727171077746 ...................
[CV]  c1=0.9126202944898565, c2=0.05922727171077746, score=0.796576 -   1.6s
[CV] c1=2.5475669875641387, c2=0.005985844822113057 ..................
[CV]  c1=2.5475669875641387, c2=0.005985844822113057, score=0.529050 -   1.8s
[CV] c1=0.18761280825929014, c2=0.013188221959745642 .................
[CV]  c1=0.18761280825929014, c2=0.013188221959745642, score=0.719697 -   1.1s
[CV] c1=0.0991144274615779, c2=0.04202311078885145 ...................
[CV]  c1=0.0991144274615779, c2=0.04202311078885145, score=0.701121 -   1.4s
[CV] c1=1.1408511170785476, c2=0.005479080536394964 ..................
[CV]  c1=1.1408511170785476, c2=0.005479080536394964, score=0.614257 -   1.4s
[CV] c1=0.2937697105808201, c2=0.018248985189098645 ..................
[CV]  c1=0.2937697105808201, c2=0.018248985189098645, score=0.809165 -   1.8s
[CV] c1=0.025011895209530562, c2=0.008932753952146174 ................
[CV]  c1=0.025011895209530562, c2=0.008932753952146174, score=0.817961 -   1.9s
[CV] c1=0.3074173947409216, c2=0.10245704084908419 ...................
[CV]  c1=0.3074173947409216, c2=0.10245704084908419, score=0.758522 -   1.8s
[CV] c1=0.6267055972846722, c2=0.04259424776559925 ...................
[CV]  c1=0.6267055972846722, c2=0.04259424776559925, score=0.865306 -   1.8s
[CV] c1=0.1994183047561613, c2=0.06434142844547544 ...................
[CV]  c1=0.1994183047561613, c2=0.06434142844547544, score=0.816977 -   1.8s
[CV] c1=0.7848547656900797, c2=0.00021939548027473567 ................
[CV]  c1=0.7848547656900797, c2=0.00021939548027473567, score=0.802333 -   1.7s
[CV] c1=0.36342728549546166, c2=0.17200706229449358 ..................
[CV]  c1=0.36342728549546166, c2=0.17200706229449358, score=0.807642 -   1.7s
[CV] c1=0.16579232048438644, c2=0.0025196310828505225 ................
[CV]  c1=0.16579232048438644, c2=0.0025196310828505225, score=0.778096 -   1.7s
[CV] c1=0.1890343146681929, c2=0.033573073945875574 ..................
[CV]  c1=0.1890343146681929, c2=0.033573073945875574, score=0.816977 -   1.8s
[CV] c1=0.1597825940499268, c2=0.020027742262949975 ..................
[CV]  c1=0.1597825940499268, c2=0.020027742262949975, score=0.801171 -   1.4s
[CV] c1=0.04212389482880347, c2=0.09411813383649018 ..................
[CV]  c1=0.04212389482880347, c2=0.09411813383649018, score=0.720864 -   1.3s
[CV] c1=0.08173243852937437, c2=0.09573120304656182 ..................
[CV]  c1=0.08173243852937437, c2=0.09573120304656182, score=0.847591 -   1.5s
[CV] c1=0.8456331551217471, c2=0.06349373499305665 ...................
[CV]  c1=0.8456331551217471, c2=0.06349373499305665, score=0.727344 -   1.7s
[CV] c1=0.6191435275855701, c2=0.15686015074828502 ...................
[CV]  c1=0.6191435275855701, c2=0.15686015074828502, score=0.656110 -   1.4s
[CV] c1=0.3074173947409216, c2=0.10245704084908419 ...................
[CV]  c1=0.3074173947409216, c2=0.10245704084908419, score=0.824768 -   1.7s
[CV] c1=0.6267055972846722, c2=0.04259424776559925 ...................
[CV]  c1=0.6267055972846722, c2=0.04259424776559925, score=0.695963 -   2.0s
[CV] c1=0.35513744586290896, c2=0.0021516212500096825 ................
[CV]  c1=0.35513744586290896, c2=0.0021516212500096825, score=0.832528 -   1.6s
[CV] c1=0.08180923711997821, c2=0.024085539210853688 .................
[CV]  c1=0.08180923711997821, c2=0.024085539210853688, score=0.810399 -   1.7s
[CV] c1=0.5011018301717377, c2=0.057898963866423396 ..................
[CV]  c1=0.5011018301717377, c2=0.057898963866423396, score=0.807392 -   1.6s
[CV] c1=0.16579232048438644, c2=0.0025196310828505225 ................
[CV]  c1=0.16579232048438644, c2=0.0025196310828505225, score=0.846544 -   1.6s
[CV] c1=0.1890343146681929, c2=0.033573073945875574 ..................
[CV]  c1=0.1890343146681929, c2=0.033573073945875574, score=0.778106 -   1.7s
[CV] c1=0.5514279352287558, c2=0.042356125995427395 ..................
[CV]  c1=0.5514279352287558, c2=0.042356125995427395, score=0.804087 -   1.5s
[CV] c1=0.3232850946253043, c2=0.14110170446533316 ...................
[CV]  c1=0.3232850946253043, c2=0.14110170446533316, score=0.842966 -   1.6s
[CV] c1=0.23041475567761494, c2=0.08179287092828802 ..................
[CV]  c1=0.23041475567761494, c2=0.08179287092828802, score=0.841458 -   1.6s
[CV] c1=0.28070543473380255, c2=0.02952141750161069 ..................
[CV]  c1=0.28070543473380255, c2=0.02952141750161069, score=0.784147 -   1.7s
[CV] c1=1.183975919392042, c2=0.015907346294287125 ...................
[CV]  c1=1.183975919392042, c2=0.015907346294287125, score=0.658434 -   1.8s
[CV] c1=0.024526019449188374, c2=0.013240429729734052 ................
[CV]  c1=0.024526019449188374, c2=0.013240429729734052, score=0.853841 -   1.6s
[CV] c1=0.14323164582067435, c2=0.01848697217297892 ..................
[CV]  c1=0.14323164582067435, c2=0.01848697217297892, score=0.788429 -   1.7s
[CV] c1=0.7073611696909204, c2=0.039311462387378635 ..................
[CV]  c1=0.7073611696909204, c2=0.039311462387378635, score=0.796246 -   1.8s
[CV] c1=0.35292268066730564, c2=0.06379524000216955 ..................
[CV]  c1=0.35292268066730564, c2=0.06379524000216955, score=0.864536 -   1.7s
[CV] c1=1.3032974925166083, c2=0.0705881528334066 ....................
[CV]  c1=1.3032974925166083, c2=0.0705881528334066, score=0.824662 -   1.5s
[CV] c1=0.9126202944898565, c2=0.05922727171077746 ...................
[CV]  c1=0.9126202944898565, c2=0.05922727171077746, score=0.867150 -   1.7s
[CV] c1=2.5475669875641387, c2=0.005985844822113057 ..................
[CV]  c1=2.5475669875641387, c2=0.005985844822113057, score=0.767676 -   1.6s
[CV] c1=0.1597825940499268, c2=0.020027742262949975 ..................
[CV]  c1=0.1597825940499268, c2=0.020027742262949975, score=0.792388 -   1.6s
[CV] c1=0.05146720112632569, c2=0.013612032963592695 .................
[CV]  c1=0.05146720112632569, c2=0.013612032963592695, score=0.806188 -   1.8s
[CV] c1=0.23041475567761494, c2=0.08179287092828802 ..................
[CV]  c1=0.23041475567761494, c2=0.08179287092828802, score=0.761462 -   1.8s
[CV] c1=0.8413870100963081, c2=0.0009656863634233608 .................
[CV]  c1=0.8413870100963081, c2=0.0009656863634233608, score=0.865306 -   1.6s
[CV] c1=0.079739976098887, c2=0.017602712461435972 ...................
[CV]  c1=0.079739976098887, c2=0.017602712461435972, score=0.712592 -   1.4s
[CV] c1=0.9122272361838781, c2=0.029984160287325475 ..................
[CV]  c1=0.9122272361838781, c2=0.029984160287325475, score=0.775359 -   1.6s
[CV] c1=0.016314904328327696, c2=0.12284863933243316 .................
[CV]  c1=0.016314904328327696, c2=0.12284863933243316, score=0.851471 -   1.6s
[CV] c1=0.1118266320201541, c2=0.013414114805631584 ..................
[CV]  c1=0.1118266320201541, c2=0.013414114805631584, score=0.797108 -   1.8s
[CV] c1=0.7848547656900797, c2=0.00021939548027473567 ................
[CV]  c1=0.7848547656900797, c2=0.00021939548027473567, score=0.739604 -   1.8s
[CV] c1=0.5011018301717377, c2=0.057898963866423396 ..................
[CV]  c1=0.5011018301717377, c2=0.057898963866423396, score=0.828494 -   1.7s
[CV] c1=1.6041972207204112, c2=0.020976461273219407 ..................
[CV]  c1=1.6041972207204112, c2=0.020976461273219407, score=0.803755 -   1.7s
[CV] c1=0.3817607502502253, c2=0.004526957461175974 ..................
[CV]  c1=0.3817607502502253, c2=0.004526957461175974, score=0.775285 -   1.7s
[CV] c1=0.1597825940499268, c2=0.020027742262949975 ..................
[CV]  c1=0.1597825940499268, c2=0.020027742262949975, score=0.817948 -   1.5s
[CV] c1=0.0991144274615779, c2=0.04202311078885145 ...................
[CV]  c1=0.0991144274615779, c2=0.04202311078885145, score=0.846433 -   1.5s
[CV] c1=0.06647913494849882, c2=0.037364246332160095 .................
[CV]  c1=0.06647913494849882, c2=0.037364246332160095, score=0.740088 -   1.3s
[CV] c1=0.22933145291777077, c2=0.006034411950336791 .................
[CV]  c1=0.22933145291777077, c2=0.006034411950336791, score=0.866701 -   1.6s
[CV] c1=0.025011895209530562, c2=0.008932753952146174 ................
[CV]  c1=0.025011895209530562, c2=0.008932753952146174, score=0.762001 -   1.3s
[CV] c1=1.5130239329561945, c2=0.07133343468738385 ...................
[CV]  c1=1.5130239329561945, c2=0.07133343468738385, score=0.737211 -   1.6s
[CV] c1=0.04239245450819099, c2=0.008583230533580724 .................
[CV]  c1=0.04239245450819099, c2=0.008583230533580724, score=0.791721 -   1.5s
[CV] c1=0.35196484112800475, c2=0.09246347683188022 ..................
[CV]  c1=0.35196484112800475, c2=0.09246347683188022, score=0.758358 -   1.7s
[CV] c1=0.08774099882965264, c2=0.14967500639345688 ..................
[CV]  c1=0.08774099882965264, c2=0.14967500639345688, score=0.847591 -   1.6s
[CV] c1=0.35292268066730564, c2=0.06379524000216955 ..................
[CV]  c1=0.35292268066730564, c2=0.06379524000216955, score=0.683146 -   1.4s
[CV] c1=0.2356090406289104, c2=0.16647340721958387 ...................
[CV]  c1=0.2356090406289104, c2=0.16647340721958387, score=0.763482 -   1.7s
[CV] c1=1.6041972207204112, c2=0.020976461273219407 ..................
[CV]  c1=1.6041972207204112, c2=0.020976461273219407, score=0.596797 -   1.7s
[CV] c1=0.3817607502502253, c2=0.004526957461175974 ..................
[CV]  c1=0.3817607502502253, c2=0.004526957461175974, score=0.803607 -   1.7s
[CV] c1=0.1584293455850237, c2=0.02090802933009503 ...................
[CV]  c1=0.1584293455850237, c2=0.02090802933009503, score=0.795516 -   1.6s
[CV] c1=0.05146720112632569, c2=0.013612032963592695 .................
[CV]  c1=0.05146720112632569, c2=0.013612032963592695, score=0.737704 -   1.3s
[CV] c1=1.1408511170785476, c2=0.005479080536394964 ..................
[CV]  c1=1.1408511170785476, c2=0.005479080536394964, score=0.650867 -   1.7s
[CV] c1=0.8456331551217471, c2=0.06349373499305665 ...................
[CV]  c1=0.8456331551217471, c2=0.06349373499305665, score=0.867150 -   1.7s
[CV] c1=0.08334057625442796, c2=0.0020884819310217602 ................
[CV]  c1=0.08334057625442796, c2=0.0020884819310217602, score=0.804141 -   1.7s
[CV] c1=0.4776755071737936, c2=0.02450946241509314 ...................
[CV]  c1=0.4776755071737936, c2=0.02450946241509314, score=0.817532 -   1.6s
[CV] c1=0.4269446190728624, c2=0.0675057489158606 ....................
[CV]  c1=0.4269446190728624, c2=0.0675057489158606, score=0.811695 -   1.6s
[CV] c1=0.4714515745389565, c2=0.003130271348477335 ..................
[CV]  c1=0.4714515745389565, c2=0.003130271348477335, score=0.838833 -   1.7s
[CV] c1=0.038206662775031326, c2=0.0034110619997558705 ...............
[CV]  c1=0.038206662775031326, c2=0.0034110619997558705, score=0.826633 -   1.7s
[CV] c1=0.3504465423889274, c2=0.0265030831622615 ....................
[CV]  c1=0.3504465423889274, c2=0.0265030831622615, score=0.873895 -   1.7s
[CV] c1=0.02112014723480897, c2=0.09584662178903668 ..................
[CV]  c1=0.02112014723480897, c2=0.09584662178903668, score=0.886089 -   1.5s
[CV] c1=0.47538468265272543, c2=0.1002962459492955 ...................
[CV]  c1=0.47538468265272543, c2=0.1002962459492955, score=0.808484 -   1.6s
[CV] c1=0.3444624354839956, c2=0.02773138580891417 ...................
[CV]  c1=0.3444624354839956, c2=0.02773138580891417, score=0.710631 -   1.3s
[CV] c1=0.5613077798052024, c2=0.01288931065982526 ...................
[CV]  c1=0.5613077798052024, c2=0.01288931065982526, score=0.881353 -   1.4s
[CV] c1=0.27572725028302014, c2=0.0619363749563326 ...................
[CV]  c1=0.27572725028302014, c2=0.0619363749563326, score=0.686806 -   1.2s
[CV] c1=0.06216309860062093, c2=0.012764147692220533 .................
[CV]  c1=0.06216309860062093, c2=0.012764147692220533, score=0.793277 -   1.7s
[CV] c1=0.2937697105808201, c2=0.018248985189098645 ..................
[CV]  c1=0.2937697105808201, c2=0.018248985189098645, score=0.884577 -   1.6s
[CV] c1=0.17510474183480526, c2=0.0076427914605693495 ................
[CV]  c1=0.17510474183480526, c2=0.0076427914605693495, score=0.883992 -   1.7s
[CV] c1=1.8077262904413927, c2=0.04700939345211488 ...................
[CV]  c1=1.8077262904413927, c2=0.04700939345211488, score=0.787068 -   1.7s
[CV] c1=0.561043677194103, c2=0.07078703456077927 ....................
[CV]  c1=0.561043677194103, c2=0.07078703456077927, score=0.692354 -   1.9s
[CV] c1=0.4714515745389565, c2=0.003130271348477335 ..................
[CV]  c1=0.4714515745389565, c2=0.003130271348477335, score=0.875084 -   1.7s
[CV] c1=0.038206662775031326, c2=0.0034110619997558705 ...............
[CV]  c1=0.038206662775031326, c2=0.0034110619997558705, score=0.781737 -   1.4s
[CV] c1=0.7258291917720434, c2=0.1186373299437711 ....................
[CV]  c1=0.7258291917720434, c2=0.1186373299437711, score=0.823633 -   1.6s
[CV] c1=0.13864402685051158, c2=0.16712319319667313 ..................
[CV]  c1=0.13864402685051158, c2=0.16712319319667313, score=0.792863 -   1.7s
[CV] c1=1.280244731722226, c2=0.06426450217543982 ....................
[CV]  c1=1.280244731722226, c2=0.06426450217543982, score=0.825368 -   1.7s
[CV] c1=0.1959201148845954, c2=0.13788045439640453 ...................
[CV]  c1=0.1959201148845954, c2=0.13788045439640453, score=0.876149 -   1.6s
[CV] c1=0.5613077798052024, c2=0.01288931065982526 ...................
[CV]  c1=0.5613077798052024, c2=0.01288931065982526, score=0.741624 -   1.4s
[CV] c1=0.27572725028302014, c2=0.0619363749563326 ...................
[CV]  c1=0.27572725028302014, c2=0.0619363749563326, score=0.765334 -   1.6s
[CV] c1=1.1408511170785476, c2=0.005479080536394964 ..................
[CV]  c1=1.1408511170785476, c2=0.005479080536394964, score=0.858250 -   1.7s
[CV] c1=0.04487297612170843, c2=0.05432806754896239 ..................
[CV]  c1=0.04487297612170843, c2=0.05432806754896239, score=0.828207 -   1.8s
[CV] c1=0.08334057625442796, c2=0.0020884819310217602 ................
[CV]  c1=0.08334057625442796, c2=0.0020884819310217602, score=0.878982 -   1.6s
[CV] c1=0.4776755071737936, c2=0.02450946241509314 ...................
[CV]  c1=0.4776755071737936, c2=0.02450946241509314, score=0.710631 -   1.4s
[CV] c1=1.0513308713368994, c2=0.01800320536720713 ...................
[CV]  c1=1.0513308713368994, c2=0.01800320536720713, score=0.795252 -   1.6s
[CV] c1=0.08338061919657337, c2=0.0038834449014811764 ................
[CV]  c1=0.08338061919657337, c2=0.0038834449014811764, score=0.766077 -   1.4s
[CV] c1=1.0036930436036413, c2=0.03802219559165432 ...................
[CV]  c1=1.0036930436036413, c2=0.03802219559165432, score=0.667840 -   1.9s
[CV] c1=0.3140811877341032, c2=0.056529424609847216 ..................
[CV]  c1=0.3140811877341032, c2=0.056529424609847216, score=0.687479 -   1.4s
[CV] c1=0.13864402685051158, c2=0.16712319319667313 ..................
[CV]  c1=0.13864402685051158, c2=0.16712319319667313, score=0.841458 -   1.6s
[CV] c1=0.5542338702595682, c2=0.030743068125510965 ..................
[CV]  c1=0.5542338702595682, c2=0.030743068125510965, score=0.788294 -   1.6s
[CV] c1=0.2114856139551765, c2=0.159105286549475 .....................
[CV]  c1=0.2114856139551765, c2=0.159105286549475, score=0.841458 -   1.6s
[CV] c1=0.18761280825929014, c2=0.013188221959745642 .................
[CV]  c1=0.18761280825929014, c2=0.013188221959745642, score=0.829150 -   1.5s
[CV] c1=0.44931488549193394, c2=0.021435441170788508 .................
[CV]  c1=0.44931488549193394, c2=0.021435441170788508, score=0.743086 -   1.1s
[CV] c1=0.06216309860062093, c2=0.012764147692220533 .................
[CV]  c1=0.06216309860062093, c2=0.012764147692220533, score=0.865446 -   1.6s
[CV] c1=0.5333345186994491, c2=0.0941878792500696 ....................
[CV]  c1=0.5333345186994491, c2=0.0941878792500696, score=0.671648 -   1.4s
[CV] c1=0.28070543473380255, c2=0.02952141750161069 ..................
[CV]  c1=0.28070543473380255, c2=0.02952141750161069, score=0.836970 -   1.7s
[CV] c1=0.079739976098887, c2=0.017602712461435972 ...................
[CV]  c1=0.079739976098887, c2=0.017602712461435972, score=0.806178 -   1.8s
[CV] c1=0.04239245450819099, c2=0.008583230533580724 .................
[CV]  c1=0.04239245450819099, c2=0.008583230533580724, score=0.873792 -   1.7s
[CV] c1=0.14323164582067435, c2=0.01848697217297892 ..................
[CV]  c1=0.14323164582067435, c2=0.01848697217297892, score=0.807114 -   1.7s
[CV] c1=0.08774099882965264, c2=0.14967500639345688 ..................
[CV]  c1=0.08774099882965264, c2=0.14967500639345688, score=0.879430 -   1.7s
[CV] c1=0.35292268066730564, c2=0.06379524000216955 ..................
[CV]  c1=0.35292268066730564, c2=0.06379524000216955, score=0.759785 -   1.9s
[CV] c1=0.13864402685051158, c2=0.16712319319667313 ..................
[CV]  c1=0.13864402685051158, c2=0.16712319319667313, score=0.875028 -   1.6s
[CV] c1=0.5542338702595682, c2=0.030743068125510965 ..................
[CV]  c1=0.5542338702595682, c2=0.030743068125510965, score=0.863375 -   1.7s
[CV] c1=0.2114856139551765, c2=0.159105286549475 .....................
[CV]  c1=0.2114856139551765, c2=0.159105286549475, score=0.766772 -   1.7s
[CV] c1=0.18761280825929014, c2=0.013188221959745642 .................
[CV]  c1=0.18761280825929014, c2=0.013188221959745642, score=0.842229 -   1.5s
[CV] c1=0.0991144274615779, c2=0.04202311078885145 ...................
[CV]  c1=0.0991144274615779, c2=0.04202311078885145, score=0.802156 -   1.7s
[CV] c1=0.08173243852937437, c2=0.09573120304656182 ..................
[CV]  c1=0.08173243852937437, c2=0.09573120304656182, score=0.884405 -   1.7s
[CV] c1=0.09958610835298123, c2=0.06254727890113948 ..................
[CV]  c1=0.09958610835298123, c2=0.06254727890113948, score=0.695198 -   1.3s
[CV] c1=0.0963126849233759, c2=0.03670066288914723 ...................
[CV]  c1=0.0963126849233759, c2=0.03670066288914723, score=0.853841 -   1.6s
[CV] c1=0.3074173947409216, c2=0.10245704084908419 ...................
[CV]  c1=0.3074173947409216, c2=0.10245704084908419, score=0.670749 -   1.4s
[CV] c1=0.561043677194103, c2=0.07078703456077927 ....................
[CV]  c1=0.561043677194103, c2=0.07078703456077927, score=0.790174 -   1.7s
[CV] c1=0.8358505132642201, c2=0.17115132382269244 ...................
[CV]  c1=0.8358505132642201, c2=0.17115132382269244, score=0.690045 -   1.7s
[CV] c1=0.4215490852662269, c2=0.07944005239321074 ...................
[CV]  c1=0.4215490852662269, c2=0.07944005239321074, score=0.869742 -   1.6s
[CV] c1=0.3140811877341032, c2=0.056529424609847216 ..................
[CV]  c1=0.3140811877341032, c2=0.056529424609847216, score=0.880929 -   1.6s
[CV] c1=0.621012446250396, c2=0.020680859847197697 ...................
[CV]  c1=0.621012446250396, c2=0.020680859847197697, score=0.867548 -   1.8s
[CV] c1=1.280244731722226, c2=0.06426450217543982 ....................
[CV]  c1=1.280244731722226, c2=0.06426450217543982, score=0.786480 -   1.6s
[CV] c1=0.1959201148845954, c2=0.13788045439640453 ...................
[CV]  c1=0.1959201148845954, c2=0.13788045439640453, score=0.677842 -   1.3s
[CV] c1=0.1584293455850237, c2=0.02090802933009503 ...................
[CV]  c1=0.1584293455850237, c2=0.02090802933009503, score=0.795460 -   1.6s
[CV] c1=0.05146720112632569, c2=0.013612032963592695 .................
[CV]  c1=0.05146720112632569, c2=0.013612032963592695, score=0.857721 -   1.6s
[CV] c1=0.08173243852937437, c2=0.09573120304656182 ..................
[CV]  c1=0.08173243852937437, c2=0.09573120304656182, score=0.792408 -   1.7s
[CV] c1=0.28070543473380255, c2=0.02952141750161069 ..................
[CV]  c1=0.28070543473380255, c2=0.02952141750161069, score=0.876381 -   1.7s
[CV] c1=1.183975919392042, c2=0.015907346294287125 ...................
[CV]  c1=1.183975919392042, c2=0.015907346294287125, score=0.599933 -   1.3s
[CV] c1=0.4776755071737936, c2=0.02450946241509314 ...................
[CV]  c1=0.4776755071737936, c2=0.02450946241509314, score=0.814890 -   1.7s
[CV] c1=0.016314904328327696, c2=0.12284863933243316 .................
[CV]  c1=0.016314904328327696, c2=0.12284863933243316, score=0.714165 -   1.4s
[CV] c1=0.1994183047561613, c2=0.06434142844547544 ...................
[CV]  c1=0.1994183047561613, c2=0.06434142844547544, score=0.883238 -   1.7s
[CV] c1=0.276008682254962, c2=0.003749090172646877 ...................
[CV]  c1=0.276008682254962, c2=0.003749090172646877, score=0.740577 -   1.4s
[CV] c1=0.3140811877341032, c2=0.056529424609847216 ..................
[CV]  c1=0.3140811877341032, c2=0.056529424609847216, score=0.841358 -   1.8s
[CV] c1=0.12591515982423077, c2=0.06253228729306687 ..................
[CV]  c1=0.12591515982423077, c2=0.06253228729306687, score=0.881455 -   1.6s
[CV] c1=0.47538468265272543, c2=0.1002962459492955 ...................
[CV]  c1=0.47538468265272543, c2=0.1002962459492955, score=0.736770 -   1.7s
[CV] c1=0.3444624354839956, c2=0.02773138580891417 ...................
[CV]  c1=0.3444624354839956, c2=0.02773138580891417, score=0.829247 -   1.6s
[CV] c1=0.9606680843723174, c2=0.08930419060363742 ...................
[CV]  c1=0.9606680843723174, c2=0.08930419060363742, score=0.795252 -   1.1s
[CV] c1=0.3232850946253043, c2=0.14110170446533316 ...................
[CV]  c1=0.3232850946253043, c2=0.14110170446533316, score=0.692888 -   1.4s
[CV] c1=0.06647913494849882, c2=0.037364246332160095 .................
[CV]  c1=0.06647913494849882, c2=0.037364246332160095, score=0.806188 -   1.7s
[CV] c1=0.09958610835298123, c2=0.06254727890113948 ..................
[CV]  c1=0.09958610835298123, c2=0.06254727890113948, score=0.801029 -   1.7s
[CV] c1=1.183975919392042, c2=0.015907346294287125 ...................
[CV]  c1=1.183975919392042, c2=0.015907346294287125, score=0.836478 -   1.6s
[CV] c1=0.597576517054013, c2=0.04138989469586004 ....................
[CV]  c1=0.597576517054013, c2=0.04138989469586004, score=0.869398 -   1.7s
[CV] c1=0.14153859658037993, c2=0.026819743540834984 .................
[CV]  c1=0.14153859658037993, c2=0.026819743540834984, score=0.793173 -   1.7s
[CV] c1=0.35513744586290896, c2=0.0021516212500096825 ................
[CV]  c1=0.35513744586290896, c2=0.0021516212500096825, score=0.710631 -   1.4s
[CV] c1=0.276008682254962, c2=0.003749090172646877 ...................
[CV]  c1=0.276008682254962, c2=0.003749090172646877, score=0.775895 -   1.8s
[CV] c1=0.36342728549546166, c2=0.17200706229449358 ..................
[CV]  c1=0.36342728549546166, c2=0.17200706229449358, score=0.660905 -   1.5s
[CV] c1=0.02112014723480897, c2=0.09584662178903668 ..................
[CV]  c1=0.02112014723480897, c2=0.09584662178903668, score=0.710225 -   1.3s
[CV] c1=1.280244731722226, c2=0.06426450217543982 ....................
[CV]  c1=1.280244731722226, c2=0.06426450217543982, score=0.602927 -   1.8s
[CV] c1=0.3444624354839956, c2=0.02773138580891417 ...................
[CV]  c1=0.3444624354839956, c2=0.02773138580891417, score=0.876006 -   1.6s
[CV] c1=0.9606680843723174, c2=0.08930419060363742 ...................
[CV]  c1=0.9606680843723174, c2=0.08930419060363742, score=0.598828 -   1.2s
[CV] c1=0.2996450356946964, c2=0.05023092304461886 ...................
[CV]  c1=0.2996450356946964, c2=0.05023092304461886, score=0.687479 -   1.4s
[CV] c1=1.1792269668634732, c2=0.0426391385491304 ....................
[CV]  c1=1.1792269668634732, c2=0.0426391385491304, score=0.619398 -   1.4s
[CV] c1=0.2937697105808201, c2=0.018248985189098645 ..................
[CV]  c1=0.2937697105808201, c2=0.018248985189098645, score=0.784746 -   1.7s
[CV] c1=0.025011895209530562, c2=0.008932753952146174 ................
[CV]  c1=0.025011895209530562, c2=0.008932753952146174, score=0.868835 -   1.7s
[CV] c1=0.2188814043018058, c2=0.02497100928863987 ...................
[CV]  c1=0.2188814043018058, c2=0.02497100928863987, score=0.700220 -   1.3s
[CV] c1=0.04239245450819099, c2=0.008583230533580724 .................
[CV]  c1=0.04239245450819099, c2=0.008583230533580724, score=0.811003 -   1.7s
[CV] c1=0.35196484112800475, c2=0.09246347683188022 ..................
[CV]  c1=0.35196484112800475, c2=0.09246347683188022, score=0.812446 -   1.7s
[CV] c1=1.0036930436036413, c2=0.03802219559165432 ...................
[CV]  c1=1.0036930436036413, c2=0.03802219559165432, score=0.857475 -   1.6s
[CV] c1=0.35292268066730564, c2=0.06379524000216955 ..................
[CV]  c1=0.35292268066730564, c2=0.06379524000216955, score=0.840385 -   1.8s
[CV] c1=1.3032974925166083, c2=0.0705881528334066 ....................
[CV]  c1=1.3032974925166083, c2=0.0705881528334066, score=0.596513 -   1.7s
[CV] c1=0.5542338702595682, c2=0.030743068125510965 ..................
[CV]  c1=0.5542338702595682, c2=0.030743068125510965, score=0.714077 -   1.9s
[CV] c1=0.1959201148845954, c2=0.13788045439640453 ...................
[CV]  c1=0.1959201148845954, c2=0.13788045439640453, score=0.760139 -   1.7s
[CV] c1=0.9606680843723174, c2=0.08930419060363742 ...................
[CV]  c1=0.9606680843723174, c2=0.08930419060363742, score=0.834846 -   1.3s
[CV] c1=0.04212389482880347, c2=0.09411813383649018 ..................
[CV]  c1=0.04212389482880347, c2=0.09411813383649018, score=0.814061 -   1.7s
[CV] c1=0.11657009467311162, c2=0.004904897062733327 .................
[CV]  c1=0.11657009467311162, c2=0.004904897062733327, score=0.797458 -   1.7s
[CV] c1=0.8413870100963081, c2=0.0009656863634233608 .................
[CV]  c1=0.8413870100963081, c2=0.0009656863634233608, score=0.696695 -   1.7s
[CV] c1=1.5130239329561945, c2=0.07133343468738385 ...................
[CV]  c1=1.5130239329561945, c2=0.07133343468738385, score=0.569730 -   1.4s
[CV] c1=0.597576517054013, c2=0.04138989469586004 ....................
[CV]  c1=0.597576517054013, c2=0.04138989469586004, score=0.798024 -   1.6s
[CV] c1=0.14153859658037993, c2=0.026819743540834984 .................
[CV]  c1=0.14153859658037993, c2=0.026819743540834984, score=0.851061 -   1.7s
[CV] c1=0.35513744586290896, c2=0.0021516212500096825 ................
[CV]  c1=0.35513744586290896, c2=0.0021516212500096825, score=0.799545 -   1.8s
[CV] c1=0.12001896504573892, c2=0.06596252114268043 ..................
[CV]  c1=0.12001896504573892, c2=0.06596252114268043, score=0.789984 -   1.6s
[CV] c1=0.2356090406289104, c2=0.16647340721958387 ...................
[CV]  c1=0.2356090406289104, c2=0.16647340721958387, score=0.842966 -   1.6s
[CV] c1=1.6041972207204112, c2=0.020976461273219407 ..................
[CV]  c1=1.6041972207204112, c2=0.020976461273219407, score=0.563370 -   1.8s
[CV] c1=2.5475669875641387, c2=0.005985844822113057 ..................
[CV]  c1=2.5475669875641387, c2=0.005985844822113057, score=0.591515 -   1.8s
[CV] c1=0.1584293455850237, c2=0.02090802933009503 ...................
[CV]  c1=0.1584293455850237, c2=0.02090802933009503, score=0.782555 -   1.4s
[CV] c1=0.03585223624848399, c2=0.021093558863768107 .................
[CV]  c1=0.03585223624848399, c2=0.021093558863768107, score=0.840323 -   1.5s
[CV] c1=0.5393952708397188, c2=0.015174879391322536 ..................
[CV]  c1=0.5393952708397188, c2=0.015174879391322536, score=0.781189 -   1.3s
[CV] c1=0.5333345186994491, c2=0.0941878792500696 ....................
[CV]  c1=0.5333345186994491, c2=0.0941878792500696, score=0.818511 -   1.7s
[CV] c1=0.5315567298367272, c2=0.1223862272815143 ....................
[CV]  c1=0.5315567298367272, c2=0.1223862272815143, score=0.825297 -   1.8s
[CV] c1=1.8077262904413927, c2=0.04700939345211488 ...................
[CV]  c1=1.8077262904413927, c2=0.04700939345211488, score=0.546403 -   1.6s
[CV] c1=0.561043677194103, c2=0.07078703456077927 ....................
[CV]  c1=0.561043677194103, c2=0.07078703456077927, score=0.851843 -   1.6s
[CV] c1=0.8358505132642201, c2=0.17115132382269244 ...................
[CV]  c1=0.8358505132642201, c2=0.17115132382269244, score=0.852407 -   1.7s
[CV] c1=1.0036930436036413, c2=0.03802219559165432 ...................
[CV]  c1=1.0036930436036413, c2=0.03802219559165432, score=0.625125 -   1.4s
[CV] c1=0.12001896504573892, c2=0.06596252114268043 ..................
[CV]  c1=0.12001896504573892, c2=0.06596252114268043, score=0.790144 -   1.8s
[CV] c1=1.3032974925166083, c2=0.0705881528334066 ....................
[CV]  c1=1.3032974925166083, c2=0.0705881528334066, score=0.744759 -   1.7s
[CV] c1=0.9126202944898565, c2=0.05922727171077746 ...................
[CV]  c1=0.9126202944898565, c2=0.05922727171077746, score=0.691864 -   1.7s
[CV] c1=0.2114856139551765, c2=0.159105286549475 .....................
[CV]  c1=0.2114856139551765, c2=0.159105286549475, score=0.672113 -   1.3s
[CV] c1=0.1584293455850237, c2=0.02090802933009503 ...................
[CV]  c1=0.1584293455850237, c2=0.02090802933009503, score=0.881760 -   1.6s
[CV] c1=0.3232850946253043, c2=0.14110170446533316 ...................
[CV]  c1=0.3232850946253043, c2=0.14110170446533316, score=0.754244 -   1.7s
[CV] c1=0.23041475567761494, c2=0.08179287092828802 ..................
[CV]  c1=0.23041475567761494, c2=0.08179287092828802, score=0.781415 -   2.0s
[CV] c1=0.5315567298367272, c2=0.1223862272815143 ....................
[CV]  c1=0.5315567298367272, c2=0.1223862272815143, score=0.669545 -   1.4s
[CV] c1=0.079739976098887, c2=0.017602712461435972 ...................
[CV]  c1=0.079739976098887, c2=0.017602712461435972, score=0.877695 -   1.7s
[CV] c1=0.024526019449188374, c2=0.013240429729734052 ................
[CV]  c1=0.024526019449188374, c2=0.013240429729734052, score=0.870946 -   1.7s
[CV] c1=0.14323164582067435, c2=0.01848697217297892 ..................
[CV]  c1=0.14323164582067435, c2=0.01848697217297892, score=0.873396 -   1.6s
[CV] c1=0.7073611696909204, c2=0.039311462387378635 ..................
[CV]  c1=0.7073611696909204, c2=0.039311462387378635, score=0.865306 -   2.0s
[CV] c1=0.35292268066730564, c2=0.06379524000216955 ..................
[CV]  c1=0.35292268066730564, c2=0.06379524000216955, score=0.832528 -   1.6s
[CV] c1=1.3032974925166083, c2=0.0705881528334066 ....................
[CV]  c1=1.3032974925166083, c2=0.0705881528334066, score=0.632052 -   1.6s
[CV] c1=0.9126202944898565, c2=0.05922727171077746 ...................
[CV]  c1=0.9126202944898565, c2=0.05922727171077746, score=0.653203 -   1.7s
[CV] c1=2.5475669875641387, c2=0.005985844822113057 ..................
[CV]  c1=2.5475669875641387, c2=0.005985844822113057, score=0.583635 -   1.8s
[CV] c1=0.18761280825929014, c2=0.013188221959745642 .................
[CV]  c1=0.18761280825929014, c2=0.013188221959745642, score=0.880930 -   1.5s
[CV] c1=0.44931488549193394, c2=0.021435441170788508 .................
[CV]  c1=0.44931488549193394, c2=0.021435441170788508, score=0.769189 -   1.6s
[CV] c1=1.1792269668634732, c2=0.0426391385491304 ....................
[CV]  c1=1.1792269668634732, c2=0.0426391385491304, score=0.836110 -   1.8s
[CV] c1=0.04487297612170843, c2=0.05432806754896239 ..................
[CV]  c1=0.04487297612170843, c2=0.05432806754896239, score=0.880738 -   1.8s
[CV] c1=0.0963126849233759, c2=0.03670066288914723 ...................
[CV]  c1=0.0963126849233759, c2=0.03670066288914723, score=0.790144 -   1.9s
[CV] c1=0.9122272361838781, c2=0.029984160287325475 ..................
[CV]  c1=0.9122272361838781, c2=0.029984160287325475, score=0.647797 -   1.5s
[CV] c1=0.4269446190728624, c2=0.0675057489158606 ....................
[CV]  c1=0.4269446190728624, c2=0.0675057489158606, score=0.790716 -   1.8s
[CV] c1=0.1994183047561613, c2=0.06434142844547544 ...................
[CV]  c1=0.1994183047561613, c2=0.06434142844547544, score=0.839344 -   1.6s
[CV] c1=0.276008682254962, c2=0.003749090172646877 ...................
[CV]  c1=0.276008682254962, c2=0.003749090172646877, score=0.839236 -   1.7s
[CV] c1=0.3504465423889274, c2=0.0265030831622615 ....................
[CV]  c1=0.3504465423889274, c2=0.0265030831622615, score=0.715208 -   1.4s
[CV] c1=0.621012446250396, c2=0.020680859847197697 ...................
[CV]  c1=0.621012446250396, c2=0.020680859847197697, score=0.801959 -   1.5s
[CV] c1=1.280244731722226, c2=0.06426450217543982 ....................
[CV]  c1=1.280244731722226, c2=0.06426450217543982, score=0.599355 -   1.4s
[CV] c1=0.2114856139551765, c2=0.159105286549475 .....................
[CV]  c1=0.2114856139551765, c2=0.159105286549475, score=0.866261 -   1.7s
[CV] c1=0.18761280825929014, c2=0.013188221959745642 .................
[CV]  c1=0.18761280825929014, c2=0.013188221959745642, score=0.778106 -   1.6s
[CV] c1=0.2996450356946964, c2=0.05023092304461886 ...................
[CV]  c1=0.2996450356946964, c2=0.05023092304461886, score=0.759598 -   1.7s
[CV] c1=0.06647913494849882, c2=0.037364246332160095 .................
[CV]  c1=0.06647913494849882, c2=0.037364246332160095, score=0.846433 -   1.5s
[CV] c1=0.8456331551217471, c2=0.06349373499305665 ...................
[CV]  c1=0.8456331551217471, c2=0.06349373499305665, score=0.695652 -   1.4s
[CV] c1=0.025011895209530562, c2=0.008932753952146174 ................
[CV]  c1=0.025011895209530562, c2=0.008932753952146174, score=0.841641 -   1.6s
[CV] c1=0.2188814043018058, c2=0.02497100928863987 ...................
[CV]  c1=0.2188814043018058, c2=0.02497100928863987, score=0.811875 -   1.7s
[CV] c1=0.4269446190728624, c2=0.0675057489158606 ....................
[CV]  c1=0.4269446190728624, c2=0.0675057489158606, score=0.704964 -   1.5s
[CV] c1=0.08338061919657337, c2=0.0038834449014811764 ................
[CV]  c1=0.08338061919657337, c2=0.0038834449014811764, score=0.796160 -   1.7s
[CV] c1=0.038206662775031326, c2=0.0034110619997558705 ...............
[CV]  c1=0.038206662775031326, c2=0.0034110619997558705, score=0.869140 -   1.7s
[CV] c1=1.0612448346898529, c2=0.037273006023971364 ..................
[CV]  c1=1.0612448346898529, c2=0.037273006023971364, score=0.854194 -   1.8s
[CV] c1=0.12591515982423077, c2=0.06253228729306687 ..................
[CV]  c1=0.12591515982423077, c2=0.06253228729306687, score=0.846433 -   1.5s
[CV] c1=0.47538468265272543, c2=0.1002962459492955 ...................
[CV]  c1=0.47538468265272543, c2=0.1002962459492955, score=0.720061 -   1.4s
[CV] c1=0.2114856139551765, c2=0.159105286549475 .....................
[CV]  c1=0.2114856139551765, c2=0.159105286549475, score=0.781415 -   1.8s
[CV] c1=0.5613077798052024, c2=0.01288931065982526 ...................
[CV]  c1=0.5613077798052024, c2=0.01288931065982526, score=0.803991 -   1.2s
[CV] c1=0.03585223624848399, c2=0.021093558863768107 .................
[CV]  c1=0.03585223624848399, c2=0.021093558863768107, score=0.812436 -   1.5s
[CV] c1=0.5393952708397188, c2=0.015174879391322536 ..................
[CV]  c1=0.5393952708397188, c2=0.015174879391322536, score=0.877803 -   1.7s
[CV] c1=0.2937697105808201, c2=0.018248985189098645 ..................
[CV]  c1=0.2937697105808201, c2=0.018248985189098645, score=0.710631 -   1.5s
[CV] c1=0.5315567298367272, c2=0.1223862272815143 ....................
[CV]  c1=0.5315567298367272, c2=0.1223862272815143, score=0.799018 -   1.8s
[CV] c1=1.8077262904413927, c2=0.04700939345211488 ...................
[CV]  c1=1.8077262904413927, c2=0.04700939345211488, score=0.606023 -   2.0s
[CV] c1=0.4269446190728624, c2=0.0675057489158606 ....................
[CV]  c1=0.4269446190728624, c2=0.0675057489158606, score=0.867494 -   1.6s
[CV] c1=0.08338061919657337, c2=0.0038834449014811764 ................
[CV]  c1=0.08338061919657337, c2=0.0038834449014811764, score=0.811241 -   1.8s
[CV] c1=0.038206662775031326, c2=0.0034110619997558705 ...............
[CV]  c1=0.038206662775031326, c2=0.0034110619997558705, score=0.805195 -   1.7s
[CV] c1=1.0612448346898529, c2=0.037273006023971364 ..................
[CV]  c1=1.0612448346898529, c2=0.037273006023971364, score=0.791904 -   1.6s
[CV] c1=0.12591515982423077, c2=0.06253228729306687 ..................
[CV]  c1=0.12591515982423077, c2=0.06253228729306687, score=0.729952 -   1.3s
[CV] c1=1.280244731722226, c2=0.06426450217543982 ....................
[CV]  c1=1.280244731722226, c2=0.06426450217543982, score=0.636329 -   1.8s
[CV] c1=0.1959201148845954, c2=0.13788045439640453 ...................
[CV]  c1=0.1959201148845954, c2=0.13788045439640453, score=0.841458 -   1.5s
[CV] c1=0.5613077798052024, c2=0.01288931065982526 ...................
[CV]  c1=0.5613077798052024, c2=0.01288931065982526, score=0.719514 -   1.5s
[CV] c1=0.44931488549193394, c2=0.021435441170788508 .................
[CV]  c1=0.44931488549193394, c2=0.021435441170788508, score=0.878049 -   1.5s
[CV] c1=0.5393952708397188, c2=0.015174879391322536 ..................
[CV]  c1=0.5393952708397188, c2=0.015174879391322536, score=0.712219 -   1.8s
[CV] c1=0.22933145291777077, c2=0.006034411950336791 .................
[CV]  c1=0.22933145291777077, c2=0.006034411950336791, score=0.829820 -   1.7s
[CV] c1=0.025011895209530562, c2=0.008932753952146174 ................
[CV]  c1=0.025011895209530562, c2=0.008932753952146174, score=0.790144 -   1.8s
[CV] c1=0.3074173947409216, c2=0.10245704084908419 ...................
[CV]  c1=0.3074173947409216, c2=0.10245704084908419, score=0.824944 -   1.7s
[CV] c1=0.6267055972846722, c2=0.04259424776559925 ...................
[CV]  c1=0.6267055972846722, c2=0.04259424776559925, score=0.783030 -   1.6s
[CV] c1=0.1994183047561613, c2=0.06434142844547544 ...................
[CV]  c1=0.1994183047561613, c2=0.06434142844547544, score=0.698560 -   1.4s
[CV] c1=0.4215490852662269, c2=0.07944005239321074 ...................
[CV]  c1=0.4215490852662269, c2=0.07944005239321074, score=0.813726 -   1.7s
[CV] c1=0.3140811877341032, c2=0.056529424609847216 ..................
[CV]  c1=0.3140811877341032, c2=0.056529424609847216, score=0.842340 -   1.9s
[CV] c1=0.12591515982423077, c2=0.06253228729306687 ..................
[CV]  c1=0.12591515982423077, c2=0.06253228729306687, score=0.790144 -   1.8s
[CV] c1=0.2913291099111667, c2=0.008055492420391996 ..................
[CV]  c1=0.2913291099111667, c2=0.008055492420391996, score=0.891006 -   1.7s
[CV] c1=0.2996228398666964, c2=0.007555846761127663 ..................
[CV]  c1=0.2996228398666964, c2=0.007555846761127663, score=0.712557 -   1.4s
[CV] c1=0.9606680843723174, c2=0.08930419060363742 ...................
[CV]  c1=0.9606680843723174, c2=0.08930419060363742, score=0.697404 -   1.1s
[CV] c1=0.0991144274615779, c2=0.04202311078885145 ...................
[CV]  c1=0.0991144274615779, c2=0.04202311078885145, score=0.875820 -   1.6s
[CV] c1=0.06647913494849882, c2=0.037364246332160095 .................
[CV]  c1=0.06647913494849882, c2=0.037364246332160095, score=0.808469 -   1.7s
[CV] c1=0.09958610835298123, c2=0.06254727890113948 ..................
[CV]  c1=0.09958610835298123, c2=0.06254727890113948, score=0.886089 -   1.7s
[CV] c1=0.6191435275855701, c2=0.15686015074828502 ...................
[CV]  c1=0.6191435275855701, c2=0.15686015074828502, score=0.862548 -   1.6s
[CV] c1=0.9122272361838781, c2=0.029984160287325475 ..................
[CV]  c1=0.9122272361838781, c2=0.029984160287325475, score=0.684159 -   1.6s
[CV] c1=0.016314904328327696, c2=0.12284863933243316 .................
[CV]  c1=0.016314904328327696, c2=0.12284863933243316, score=0.870180 -   1.7s
[CV] c1=0.1118266320201541, c2=0.013414114805631584 ..................
[CV]  c1=0.1118266320201541, c2=0.013414114805631584, score=0.890556 -   1.7s
[CV] c1=0.7848547656900797, c2=0.00021939548027473567 ................
[CV]  c1=0.7848547656900797, c2=0.00021939548027473567, score=0.863059 -   1.7s
[CV] c1=0.36342728549546166, c2=0.17200706229449358 ..................
[CV]  c1=0.36342728549546166, c2=0.17200706229449358, score=0.855450 -   1.7s
[CV] c1=0.6145700085582823, c2=0.01175293625158095 ...................
[CV]  c1=0.6145700085582823, c2=0.01175293625158095, score=0.702534 -   1.4s
[CV] c1=0.30383753982294615, c2=0.13717741648939827 ..................
[CV]  c1=0.30383753982294615, c2=0.13717741648939827, score=0.672525 -   1.4s
[CV] c1=0.1959201148845954, c2=0.13788045439640453 ...................
[CV]  c1=0.1959201148845954, c2=0.13788045439640453, score=0.792863 -   1.7s
[CV] c1=0.9606680843723174, c2=0.08930419060363742 ...................
[CV]  c1=0.9606680843723174, c2=0.08930419060363742, score=0.669134 -   1.4s
Training done in: 23.730685s
     Saving training model...
        Saving training model done in: 0.015207s
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Prediction done in: 0.044527s