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

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Run5_v13.txt 68.6 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: Run5
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: TrueS4: False
Run variant: 13
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: 0.003686s
-------------------------------- 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   -2:lemma  culture
7  -2:postag      VBN
8   +2:lemma  minimal
9  +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
           0           1
0      lemma  delta-arca
1     postag          NN
2   -1:lemma           _
3  -1:postag          NN
4   +1:lemma           _
5  +1:postag          CD
6   -2:lemma     affyexp
7  -2:postag          JJ
8   +2:lemma     glucose
9  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.014787716566398695, c2=0.0248284181151139 ..................
[CV]  c1=0.014787716566398695, c2=0.0248284181151139, score=0.801469 -   1.2s
[CV] c1=0.49080994807976325, c2=0.03093563799058792 ..................
[CV]  c1=0.49080994807976325, c2=0.03093563799058792, score=0.794430 -   1.3s
[CV] c1=0.36799976450560473, c2=0.12516279902930097 ..................
[CV]  c1=0.36799976450560473, c2=0.12516279902930097, score=0.690588 -   1.0s
[CV] c1=1.4609730560426324, c2=0.10449649724069127 ...................
[CV]  c1=1.4609730560426324, c2=0.10449649724069127, score=0.697893 -   1.1s
[CV] c1=0.16119886488886953, c2=0.06001264929445023 ..................
[CV]  c1=0.16119886488886953, c2=0.06001264929445023, score=0.787733 -   1.4s
[CV] c1=0.9344397321605332, c2=0.01999218076304099 ...................
[CV]  c1=0.9344397321605332, c2=0.01999218076304099, score=0.672974 -   1.3s
[CV] c1=0.17523174658487245, c2=0.008606397422078239 .................
[CV]  c1=0.17523174658487245, c2=0.008606397422078239, score=0.740898 -   1.0s
[CV] c1=0.1780468124617126, c2=0.09127260881381476 ...................
[CV]  c1=0.1780468124617126, c2=0.09127260881381476, score=0.874791 -   1.4s
[CV] c1=0.15264464397431232, c2=0.16980952782623102 ..................
[CV]  c1=0.15264464397431232, c2=0.16980952782623102, score=0.844401 -   1.2s
[CV] c1=0.009674241406664456, c2=0.06458261316205782 .................
[CV]  c1=0.009674241406664456, c2=0.06458261316205782, score=0.849610 -   1.2s
[CV] c1=0.6166117764950539, c2=0.003187591491384325 ..................
[CV]  c1=0.6166117764950539, c2=0.003187591491384325, score=0.846298 -   1.2s
[CV] c1=0.9131903723021025, c2=0.024835210298008798 ..................
[CV]  c1=0.9131903723021025, c2=0.024835210298008798, score=0.641270 -   1.3s
[CV] c1=0.05417104107174675, c2=0.003520765138305081 .................
[CV]  c1=0.05417104107174675, c2=0.003520765138305081, score=0.880327 -   1.3s
[CV] c1=0.35439994281873455, c2=0.07831673946095945 ..................
[CV]  c1=0.35439994281873455, c2=0.07831673946095945, score=0.870559 -   1.2s
[CV] c1=0.5747209514825438, c2=0.012826709801268528 ..................
[CV]  c1=0.5747209514825438, c2=0.012826709801268528, score=0.718063 -   1.0s
[CV] c1=3.2200558452609496, c2=0.04072267672587963 ...................
[CV]  c1=3.2200558452609496, c2=0.04072267672587963, score=0.591291 -   1.2s
[CV] c1=1.536708291810509, c2=0.012284993457677822 ...................
[CV]  c1=1.536708291810509, c2=0.012284993457677822, score=0.553494 -   1.3s
[CV] c1=0.48925018513405577, c2=0.0457504784349429 ...................
[CV]  c1=0.48925018513405577, c2=0.0457504784349429, score=0.723065 -   1.2s
[CV] c1=1.8229197187357165, c2=0.03691366937876828 ...................
[CV]  c1=1.8229197187357165, c2=0.03691366937876828, score=0.515030 -   1.0s
[CV] c1=1.1857829723894384, c2=0.0186320801022472 ....................
[CV]  c1=1.1857829723894384, c2=0.0186320801022472, score=0.635197 -   1.2s
[CV] c1=0.11882880235834735, c2=0.07118637223552192 ..................
[CV]  c1=0.11882880235834735, c2=0.07118637223552192, score=0.790981 -   1.3s
[CV] c1=0.3839995647430534, c2=0.012126364028600895 ..................
[CV]  c1=0.3839995647430534, c2=0.012126364028600895, score=0.862518 -   1.2s
[CV] c1=0.014413290557860604, c2=0.10553882904148426 .................
[CV]  c1=0.014413290557860604, c2=0.10553882904148426, score=0.849610 -   1.2s
[CV] c1=0.11653712664009563, c2=0.07180576886083312 ..................
[CV]  c1=0.11653712664009563, c2=0.07180576886083312, score=0.700855 -   1.0s
[CV] c1=0.014787716566398695, c2=0.0248284181151139 ..................
[CV]  c1=0.014787716566398695, c2=0.0248284181151139, score=0.801776 -   1.2s
[CV] c1=0.49080994807976325, c2=0.03093563799058792 ..................
[CV]  c1=0.49080994807976325, c2=0.03093563799058792, score=0.891436 -   1.2s
[CV] c1=0.24384998364785695, c2=0.05616301131619426 ..................
[CV]  c1=0.24384998364785695, c2=0.05616301131619426, score=0.785386 -   1.4s
[CV] c1=0.04524859693561912, c2=0.08449426180840228 ..................
[CV]  c1=0.04524859693561912, c2=0.08449426180840228, score=0.747676 -   1.0s
[CV] c1=0.16119886488886953, c2=0.06001264929445023 ..................
[CV]  c1=0.16119886488886953, c2=0.06001264929445023, score=0.812869 -   1.3s
[CV] c1=0.9344397321605332, c2=0.01999218076304099 ...................
[CV]  c1=0.9344397321605332, c2=0.01999218076304099, score=0.786703 -   1.3s
[CV] c1=1.9322723707647864, c2=0.00915240461064467 ...................
[CV]  c1=1.9322723707647864, c2=0.00915240461064467, score=0.699865 -   1.2s
[CV] c1=0.1780468124617126, c2=0.09127260881381476 ...................
[CV]  c1=0.1780468124617126, c2=0.09127260881381476, score=0.770687 -   1.3s
[CV] c1=0.11882880235834735, c2=0.07118637223552192 ..................
[CV]  c1=0.11882880235834735, c2=0.07118637223552192, score=0.851811 -   1.2s
[CV] c1=0.1148806910309716, c2=0.05803079859184623 ...................
[CV]  c1=0.1148806910309716, c2=0.05803079859184623, score=0.800348 -   1.3s
[CV] c1=0.014413290557860604, c2=0.10553882904148426 .................
[CV]  c1=0.014413290557860604, c2=0.10553882904148426, score=0.747676 -   1.0s
[CV] c1=0.8668491702292763, c2=0.029181484556237636 ..................
[CV]  c1=0.8668491702292763, c2=0.029181484556237636, score=0.867155 -   1.3s
[CV] c1=0.24853127524577961, c2=0.06412369962311747 ..................
[CV]  c1=0.24853127524577961, c2=0.06412369962311747, score=0.803391 -   1.2s
[CV] c1=0.5687860718036892, c2=0.11908885363415607 ...................
[CV]  c1=0.5687860718036892, c2=0.11908885363415607, score=0.760435 -   1.3s
[CV] c1=0.06982634353921738, c2=0.06755270978792392 ..................
[CV]  c1=0.06982634353921738, c2=0.06755270978792392, score=0.800192 -   1.3s
[CV] c1=0.12551263848169134, c2=0.04036242512389447 ..................
[CV]  c1=0.12551263848169134, c2=0.04036242512389447, score=0.860542 -   1.2s
[CV] c1=0.14888088020426302, c2=0.002342455914652591 .................
[CV]  c1=0.14888088020426302, c2=0.002342455914652591, score=0.720993 -   1.0s
[CV] c1=0.6285391289026315, c2=0.025910179812626777 ..................
[CV]  c1=0.6285391289026315, c2=0.025910179812626777, score=0.779524 -   1.3s
[CV] c1=1.6016276682538402, c2=0.008072408672800445 ..................
[CV]  c1=1.6016276682538402, c2=0.008072408672800445, score=0.603928 -   1.2s
[CV] c1=0.580701623980617, c2=0.011911061460936394 ...................
[CV]  c1=0.580701623980617, c2=0.011911061460936394, score=0.785028 -   1.4s
[CV] c1=0.15264464397431232, c2=0.16980952782623102 ..................
[CV]  c1=0.15264464397431232, c2=0.16980952782623102, score=0.762677 -   1.4s
[CV] c1=0.009674241406664456, c2=0.06458261316205782 .................
[CV]  c1=0.009674241406664456, c2=0.06458261316205782, score=0.760778 -   1.4s
[CV] c1=0.2954210021125636, c2=0.03235800108438176 ...................
[CV]  c1=0.2954210021125636, c2=0.03235800108438176, score=0.863343 -   1.2s
[CV] c1=0.8668491702292763, c2=0.029181484556237636 ..................
[CV]  c1=0.8668491702292763, c2=0.029181484556237636, score=0.801857 -   1.2s
[CV] c1=0.14151707151949006, c2=0.015474265603229407 .................
[CV]  c1=0.14151707151949006, c2=0.015474265603229407, score=0.898053 -   1.2s
[CV] c1=0.49080994807976325, c2=0.03093563799058792 ..................
[CV]  c1=0.49080994807976325, c2=0.03093563799058792, score=0.723065 -   1.3s
[CV] c1=0.36799976450560473, c2=0.12516279902930097 ..................
[CV]  c1=0.36799976450560473, c2=0.12516279902930097, score=0.851424 -   1.2s
[CV] c1=0.04524859693561912, c2=0.08449426180840228 ..................
[CV]  c1=0.04524859693561912, c2=0.08449426180840228, score=0.874397 -   1.2s
[CV] c1=0.11853292158326188, c2=0.026336982837806607 .................
[CV]  c1=0.11853292158326188, c2=0.026336982837806607, score=0.871458 -   1.2s
[CV] c1=0.10183472167855392, c2=0.03995765343738222 ..................
[CV]  c1=0.10183472167855392, c2=0.03995765343738222, score=0.812081 -   1.3s
[CV] c1=1.3798536075014867, c2=0.16768190227851176 ...................
[CV]  c1=1.3798536075014867, c2=0.16768190227851176, score=0.765984 -   1.3s
[CV] c1=0.16163118929722667, c2=0.012468489221368095 .................
[CV]  c1=0.16163118929722667, c2=0.012468489221368095, score=0.801771 -   1.2s
[CV] c1=0.32409549799271087, c2=0.007259138289623209 .................
[CV]  c1=0.32409549799271087, c2=0.007259138289623209, score=0.860111 -   1.2s
[CV] c1=0.3839995647430534, c2=0.012126364028600895 ..................
[CV]  c1=0.3839995647430534, c2=0.012126364028600895, score=0.787229 -   1.3s
[CV] c1=0.5004405692749273, c2=0.12252232695603499 ...................
[CV]  c1=0.5004405692749273, c2=0.12252232695603499, score=0.841770 -   1.2s
[CV] c1=0.3155976583171592, c2=0.031200585577398545 ..................
[CV]  c1=0.3155976583171592, c2=0.031200585577398545, score=0.726270 -   1.0s
[CV] c1=0.14151707151949006, c2=0.015474265603229407 .................
[CV]  c1=0.14151707151949006, c2=0.015474265603229407, score=0.803391 -   1.4s
[CV] c1=0.12102560607200287, c2=0.03527827088707329 ..................
[CV]  c1=0.12102560607200287, c2=0.03527827088707329, score=0.695783 -   1.0s
[CV] c1=0.24384998364785695, c2=0.05616301131619426 ..................
[CV]  c1=0.24384998364785695, c2=0.05616301131619426, score=0.800364 -   1.3s
[CV] c1=0.04524859693561912, c2=0.08449426180840228 ..................
[CV]  c1=0.04524859693561912, c2=0.08449426180840228, score=0.849610 -   1.2s
[CV] c1=0.11853292158326188, c2=0.026336982837806607 .................
[CV]  c1=0.11853292158326188, c2=0.026336982837806607, score=0.803391 -   1.3s
[CV] c1=0.10261782331665782, c2=0.10139375186320956 ..................
[CV]  c1=0.10261782331665782, c2=0.10139375186320956, score=0.782395 -   1.3s
[CV] c1=1.3798536075014867, c2=0.16768190227851176 ...................
[CV]  c1=1.3798536075014867, c2=0.16768190227851176, score=0.557342 -   1.3s
[CV] c1=0.7538776384565248, c2=0.03684879903949351 ...................
[CV]  c1=0.7538776384565248, c2=0.03684879903949351, score=0.763080 -   1.2s
[CV] c1=0.011642248135729791, c2=0.17466617847308677 .................
[CV]  c1=0.011642248135729791, c2=0.17466617847308677, score=0.752989 -   1.1s
[CV] c1=0.3839995647430534, c2=0.012126364028600895 ..................
[CV]  c1=0.3839995647430534, c2=0.012126364028600895, score=0.803391 -   1.3s
[CV] c1=0.5004405692749273, c2=0.12252232695603499 ...................
[CV]  c1=0.5004405692749273, c2=0.12252232695603499, score=0.672581 -   1.0s
[CV] c1=0.11653712664009563, c2=0.07180576886083312 ..................
[CV]  c1=0.11653712664009563, c2=0.07180576886083312, score=0.876654 -   1.3s
[CV] c1=0.24853127524577961, c2=0.06412369962311747 ..................
[CV]  c1=0.24853127524577961, c2=0.06412369962311747, score=0.852592 -   1.0s
[CV] c1=0.3144784413150082, c2=0.07365682353960805 ...................
[CV]  c1=0.3144784413150082, c2=0.07365682353960805, score=0.794739 -   1.4s
[CV] c1=0.06982634353921738, c2=0.06755270978792392 ..................
[CV]  c1=0.06982634353921738, c2=0.06755270978792392, score=0.787131 -   1.3s
[CV] c1=0.12551263848169134, c2=0.04036242512389447 ..................
[CV]  c1=0.12551263848169134, c2=0.04036242512389447, score=0.879215 -   1.2s
[CV] c1=0.14888088020426302, c2=0.002342455914652591 .................
[CV]  c1=0.14888088020426302, c2=0.002342455914652591, score=0.804304 -   1.3s
[CV] c1=0.10183472167855392, c2=0.03995765343738222 ..................
[CV]  c1=0.10183472167855392, c2=0.03995765343738222, score=0.876662 -   1.2s
[CV] c1=1.9322723707647864, c2=0.00915240461064467 ...................
[CV]  c1=1.9322723707647864, c2=0.00915240461064467, score=0.530909 -   1.3s
[CV] c1=1.1857829723894384, c2=0.0186320801022472 ....................
[CV]  c1=1.1857829723894384, c2=0.0186320801022472, score=0.779947 -   1.2s
[CV] c1=0.11882880235834735, c2=0.07118637223552192 ..................
[CV]  c1=0.11882880235834735, c2=0.07118637223552192, score=0.770687 -   1.3s
[CV] c1=0.3839995647430534, c2=0.012126364028600895 ..................
[CV]  c1=0.3839995647430534, c2=0.012126364028600895, score=0.741970 -   1.0s
[CV] c1=0.2954210021125636, c2=0.03235800108438176 ...................
[CV]  c1=0.2954210021125636, c2=0.03235800108438176, score=0.915177 -   1.3s
[CV] c1=0.8668491702292763, c2=0.029181484556237636 ..................
[CV]  c1=0.8668491702292763, c2=0.029181484556237636, score=0.675157 -   1.3s
[CV] c1=1.2303195952750097, c2=0.08983329104716604 ...................
[CV]  c1=1.2303195952750097, c2=0.08983329104716604, score=0.591796 -   0.9s
[CV] c1=0.5687860718036892, c2=0.11908885363415607 ...................
[CV]  c1=0.5687860718036892, c2=0.11908885363415607, score=0.691242 -   1.3s
[CV] c1=0.06982634353921738, c2=0.06755270978792392 ..................
[CV]  c1=0.06982634353921738, c2=0.06755270978792392, score=0.849610 -   1.2s
[CV] c1=1.4609730560426324, c2=0.10449649724069127 ...................
[CV]  c1=1.4609730560426324, c2=0.10449649724069127, score=0.554350 -   1.3s
[CV] c1=0.14888088020426302, c2=0.002342455914652591 .................
[CV]  c1=0.14888088020426302, c2=0.002342455914652591, score=0.868690 -   1.2s
[CV] c1=0.9344397321605332, c2=0.01999218076304099 ...................
[CV]  c1=0.9344397321605332, c2=0.01999218076304099, score=0.629837 -   1.3s
[CV] c1=0.17523174658487245, c2=0.008606397422078239 .................
[CV]  c1=0.17523174658487245, c2=0.008606397422078239, score=0.803432 -   1.3s
[CV] c1=1.1857829723894384, c2=0.0186320801022472 ....................
[CV]  c1=1.1857829723894384, c2=0.0186320801022472, score=0.627884 -   1.3s
[CV] c1=0.32409549799271087, c2=0.007259138289623209 .................
[CV]  c1=0.32409549799271087, c2=0.007259138289623209, score=0.793437 -   1.3s
[CV] c1=0.22658361130810864, c2=0.04147647286978085 ..................
[CV]  c1=0.22658361130810864, c2=0.04147647286978085, score=0.715864 -   1.0s
[CV] c1=0.2954210021125636, c2=0.03235800108438176 ...................
[CV]  c1=0.2954210021125636, c2=0.03235800108438176, score=0.793437 -   1.2s
[CV] c1=0.8668491702292763, c2=0.029181484556237636 ..................
[CV]  c1=0.8668491702292763, c2=0.029181484556237636, score=0.718939 -   1.3s
[CV] c1=0.4484870599751669, c2=0.022893665681315935 ..................
[CV]  c1=0.4484870599751669, c2=0.022893665681315935, score=0.861100 -   1.2s
[CV] c1=0.38470543020247727, c2=0.005749173096388227 .................
[CV]  c1=0.38470543020247727, c2=0.005749173096388227, score=0.726102 -   1.0s
[CV] c1=1.27873845216247, c2=0.05180008979687145 .....................
[CV]  c1=1.27873845216247, c2=0.05180008979687145, score=0.853939 -   1.3s
[CV] c1=0.5904623382086371, c2=0.015237631930361293 ..................
[CV]  c1=0.5904623382086371, c2=0.015237631930361293, score=0.785028 -   1.3s
[CV] c1=0.0013516405637636604, c2=0.02268429910046645 ................
[CV]  c1=0.0013516405637636604, c2=0.02268429910046645, score=0.851468 -   1.2s
[CV] c1=0.48925018513405577, c2=0.0457504784349429 ...................
[CV]  c1=0.48925018513405577, c2=0.0457504784349429, score=0.830848 -   1.2s
[CV] c1=1.8229197187357165, c2=0.03691366937876828 ...................
[CV]  c1=1.8229197187357165, c2=0.03691366937876828, score=0.709219 -   1.1s
[CV] c1=0.7538776384565248, c2=0.03684879903949351 ...................
[CV]  c1=0.7538776384565248, c2=0.03684879903949351, score=0.690070 -   1.0s
[CV] c1=0.32409549799271087, c2=0.007259138289623209 .................
[CV]  c1=0.32409549799271087, c2=0.007259138289623209, score=0.898022 -   1.2s
[CV] c1=0.3839995647430534, c2=0.012126364028600895 ..................
[CV]  c1=0.3839995647430534, c2=0.012126364028600895, score=0.905162 -   1.2s
[CV] c1=0.2954210021125636, c2=0.03235800108438176 ...................
[CV]  c1=0.2954210021125636, c2=0.03235800108438176, score=0.803391 -   1.3s
[CV] c1=0.11653712664009563, c2=0.07180576886083312 ..................
[CV]  c1=0.11653712664009563, c2=0.07180576886083312, score=0.852982 -   1.2s
[CV] c1=0.6241832449537115, c2=0.0062831007273730895 .................
[CV]  c1=0.6241832449537115, c2=0.0062831007273730895, score=0.707590 -   1.3s
[CV] c1=0.38470543020247727, c2=0.005749173096388227 .................
[CV]  c1=0.38470543020247727, c2=0.005749173096388227, score=0.911695 -   1.2s
[CV] c1=0.6845668419347021, c2=0.01000386031538311 ...................
[CV]  c1=0.6845668419347021, c2=0.01000386031538311, score=0.866425 -   1.2s
[CV] c1=3.2200558452609496, c2=0.04072267672587963 ...................
[CV]  c1=3.2200558452609496, c2=0.04072267672587963, score=0.497374 -   1.1s
[CV] c1=0.0013516405637636604, c2=0.02268429910046645 ................
[CV]  c1=0.0013516405637636604, c2=0.02268429910046645, score=0.802578 -   1.3s
[CV] c1=0.48925018513405577, c2=0.0457504784349429 ...................
[CV]  c1=0.48925018513405577, c2=0.0457504784349429, score=0.785388 -   1.3s
[CV] c1=1.6029677480396236, c2=0.1239435765318885 ....................
[CV]  c1=1.6029677480396236, c2=0.1239435765318885, score=0.509338 -   1.0s
[CV] c1=0.16163118929722667, c2=0.012468489221368095 .................
[CV]  c1=0.16163118929722667, c2=0.012468489221368095, score=0.803391 -   1.3s
[CV] c1=0.16351258739120741, c2=0.048897856380875966 .................
[CV]  c1=0.16351258739120741, c2=0.048897856380875966, score=0.785386 -   1.2s
[CV] c1=0.22658361130810864, c2=0.04147647286978085 ..................
[CV]  c1=0.22658361130810864, c2=0.04147647286978085, score=0.803391 -   1.3s
[CV] c1=0.2446293920817947, c2=0.13053844005700593 ...................
[CV]  c1=0.2446293920817947, c2=0.13053844005700593, score=0.838690 -   1.2s
[CV] c1=0.7856481160808001, c2=0.04326415508782094 ...................
[CV]  c1=0.7856481160808001, c2=0.04326415508782094, score=0.660156 -   1.0s
[CV] c1=0.05417104107174675, c2=0.003520765138305081 .................
[CV]  c1=0.05417104107174675, c2=0.003520765138305081, score=0.779756 -   1.3s
[CV] c1=0.5602236999794388, c2=0.21152965791659661 ...................
[CV]  c1=0.5602236999794388, c2=0.21152965791659661, score=0.831319 -   1.2s
[CV] c1=0.4878362140706995, c2=0.13952815497698176 ...................
[CV]  c1=0.4878362140706995, c2=0.13952815497698176, score=0.833903 -   1.2s
[CV] c1=0.5695902076833989, c2=0.024809649297117597 ..................
[CV]  c1=0.5695902076833989, c2=0.024809649297117597, score=0.713036 -   1.3s
[CV] c1=0.7617211465879841, c2=0.02660994481683068 ...................
[CV]  c1=0.7617211465879841, c2=0.02660994481683068, score=0.765860 -   1.3s
[CV] c1=0.9834884830553297, c2=0.053056358908440016 ..................
[CV]  c1=0.9834884830553297, c2=0.053056358908440016, score=0.640530 -   1.2s
[CV] c1=0.3383929108196391, c2=0.015183022070288306 ..................
[CV]  c1=0.3383929108196391, c2=0.015183022070288306, score=0.803391 -   1.3s
[CV] c1=0.3357221753853833, c2=0.04976244774467052 ...................
[CV]  c1=0.3357221753853833, c2=0.04976244774467052, score=0.803699 -   1.3s
[CV] c1=0.014198356037110522, c2=0.04142745332578271 .................
[CV]  c1=0.014198356037110522, c2=0.04142745332578271, score=0.756341 -   1.0s
[CV] c1=0.06808959963948831, c2=0.024228973765303023 .................
[CV]  c1=0.06808959963948831, c2=0.024228973765303023, score=0.874011 -   1.2s
[CV] c1=1.2171309549010048, c2=0.03175566022096391 ...................
[CV]  c1=1.2171309549010048, c2=0.03175566022096391, score=0.856058 -   1.2s
[CV] c1=3.159409082522275, c2=0.021717949532795412 ...................
[CV]  c1=3.159409082522275, c2=0.021717949532795412, score=0.385125 -   0.9s
[CV] c1=1.2303195952750097, c2=0.08983329104716604 ...................
[CV]  c1=1.2303195952750097, c2=0.08983329104716604, score=0.555490 -   1.3s
[CV] c1=0.12102560607200287, c2=0.03527827088707329 ..................
[CV]  c1=0.12102560607200287, c2=0.03527827088707329, score=0.803391 -   1.3s
[CV] c1=0.6845668419347021, c2=0.01000386031538311 ...................
[CV]  c1=0.6845668419347021, c2=0.01000386031538311, score=0.709013 -   1.3s
[CV] c1=0.045245215615590674, c2=0.014147256023905711 ................
[CV]  c1=0.045245215615590674, c2=0.014147256023905711, score=0.812081 -   1.3s
[CV] c1=0.025214269911177895, c2=0.09637388392246364 .................
[CV]  c1=0.025214269911177895, c2=0.09637388392246364, score=0.760778 -   1.3s
[CV] c1=0.9115977452357293, c2=0.03243555016953995 ...................
[CV]  c1=0.9115977452357293, c2=0.03243555016953995, score=0.779947 -   1.1s
[CV] c1=0.16697523922340698, c2=0.04566004825574511 ..................
[CV]  c1=0.16697523922340698, c2=0.04566004825574511, score=0.795784 -   1.3s
[CV] c1=0.2000293394998144, c2=0.04063785789047965 ...................
[CV]  c1=0.2000293394998144, c2=0.04063785789047965, score=0.787733 -   1.3s
[CV] c1=0.25475561858271334, c2=0.0008054083533165053 ................
[CV]  c1=0.25475561858271334, c2=0.0008054083533165053, score=0.797385 -   1.3s
[CV] c1=0.06808959963948831, c2=0.024228973765303023 .................
[CV]  c1=0.06808959963948831, c2=0.024228973765303023, score=0.699248 -   1.0s
[CV] c1=0.6713878774185328, c2=0.021346327416170343 ..................
[CV]  c1=0.6713878774185328, c2=0.021346327416170343, score=0.865371 -   1.2s
[CV] c1=0.9080286811961094, c2=0.06024915330464806 ...................
[CV]  c1=0.9080286811961094, c2=0.06024915330464806, score=0.637501 -   1.0s
[CV] c1=0.05417104107174675, c2=0.003520765138305081 .................
[CV]  c1=0.05417104107174675, c2=0.003520765138305081, score=0.806880 -   1.3s
[CV] c1=0.35439994281873455, c2=0.07831673946095945 ..................
[CV]  c1=0.35439994281873455, c2=0.07831673946095945, score=0.794739 -   1.3s
[CV] c1=0.4878362140706995, c2=0.13952815497698176 ...................
[CV]  c1=0.4878362140706995, c2=0.13952815497698176, score=0.668301 -   0.9s
[CV] c1=3.2200558452609496, c2=0.04072267672587963 ...................
[CV]  c1=3.2200558452609496, c2=0.04072267672587963, score=0.464447 -   1.2s
[CV] c1=0.025214269911177895, c2=0.09637388392246364 .................
[CV]  c1=0.025214269911177895, c2=0.09637388392246364, score=0.787131 -   1.2s
[CV] c1=0.2572587039801571, c2=0.09415941800377575 ...................
[CV]  c1=0.2572587039801571, c2=0.09415941800377575, score=0.837290 -   1.3s
[CV] c1=0.16697523922340698, c2=0.04566004825574511 ..................
[CV]  c1=0.16697523922340698, c2=0.04566004825574511, score=0.690095 -   0.9s
[CV] c1=0.7538776384565248, c2=0.03684879903949351 ...................
[CV]  c1=0.7538776384565248, c2=0.03684879903949351, score=0.801857 -   1.2s
[CV] c1=0.16351258739120741, c2=0.048897856380875966 .................
[CV]  c1=0.16351258739120741, c2=0.048897856380875966, score=0.857556 -   1.2s
[CV] c1=0.22658361130810864, c2=0.04147647286978085 ..................
[CV]  c1=0.22658361130810864, c2=0.04147647286978085, score=0.793437 -   1.2s
[CV] c1=0.5004405692749273, c2=0.12252232695603499 ...................
[CV]  c1=0.5004405692749273, c2=0.12252232695603499, score=0.691242 -   1.3s
[CV] c1=0.3155976583171592, c2=0.031200585577398545 ..................
[CV]  c1=0.3155976583171592, c2=0.031200585577398545, score=0.860111 -   1.2s
[CV] c1=0.6241832449537115, c2=0.0062831007273730895 .................
[CV]  c1=0.6241832449537115, c2=0.0062831007273730895, score=0.830673 -   1.2s
[CV] c1=0.12102560607200287, c2=0.03527827088707329 ..................
[CV]  c1=0.12102560607200287, c2=0.03527827088707329, score=0.860542 -   1.2s
[CV] c1=1.27873845216247, c2=0.05180008979687145 .....................
[CV]  c1=1.27873845216247, c2=0.05180008979687145, score=0.715533 -   1.2s
[CV] c1=0.5904623382086371, c2=0.015237631930361293 ..................
[CV]  c1=0.5904623382086371, c2=0.015237631930361293, score=0.713036 -   1.2s
[CV] c1=0.0013516405637636604, c2=0.02268429910046645 ................
[CV]  c1=0.0013516405637636604, c2=0.02268429910046645, score=0.743171 -   1.0s
[CV] c1=0.10183472167855392, c2=0.03995765343738222 ..................
[CV]  c1=0.10183472167855392, c2=0.03995765343738222, score=0.860542 -   1.2s
[CV] c1=0.17523174658487245, c2=0.008606397422078239 .................
[CV]  c1=0.17523174658487245, c2=0.008606397422078239, score=0.860111 -   1.2s
[CV] c1=0.16163118929722667, c2=0.012468489221368095 .................
[CV]  c1=0.16163118929722667, c2=0.012468489221368095, score=0.901503 -   1.3s
[CV] c1=0.32409549799271087, c2=0.007259138289623209 .................
[CV]  c1=0.32409549799271087, c2=0.007259138289623209, score=0.803391 -   1.3s
[CV] c1=0.22658361130810864, c2=0.04147647286978085 ..................
[CV]  c1=0.22658361130810864, c2=0.04147647286978085, score=0.884036 -   1.3s
[CV] c1=0.5004405692749273, c2=0.12252232695603499 ...................
[CV]  c1=0.5004405692749273, c2=0.12252232695603499, score=0.778398 -   1.2s
[CV] c1=0.3155976583171592, c2=0.031200585577398545 ..................
[CV]  c1=0.3155976583171592, c2=0.031200585577398545, score=0.793437 -   1.2s
[CV] c1=0.4484870599751669, c2=0.022893665681315935 ..................
[CV]  c1=0.4484870599751669, c2=0.022893665681315935, score=0.738020 -   1.0s
[CV] c1=0.5788576664607393, c2=0.11171284500860112 ...................
[CV]  c1=0.5788576664607393, c2=0.11171284500860112, score=0.691242 -   1.2s
[CV] c1=0.36799976450560473, c2=0.12516279902930097 ..................
[CV]  c1=0.36799976450560473, c2=0.12516279902930097, score=0.782379 -   1.2s
[CV] c1=0.04524859693561912, c2=0.08449426180840228 ..................
[CV]  c1=0.04524859693561912, c2=0.08449426180840228, score=0.800192 -   1.3s
[CV] c1=1.536708291810509, c2=0.012284993457677822 ...................
[CV]  c1=1.536708291810509, c2=0.012284993457677822, score=0.617331 -   1.2s
[CV] c1=0.10261782331665782, c2=0.10139375186320956 ..................
[CV]  c1=0.10261782331665782, c2=0.10139375186320956, score=0.760368 -   1.3s
[CV] c1=1.8229197187357165, c2=0.03691366937876828 ...................
[CV]  c1=1.8229197187357165, c2=0.03691366937876828, score=0.612418 -   1.2s
[CV] c1=0.7107594957756591, c2=0.024600401247091733 ..................
[CV]  c1=0.7107594957756591, c2=0.024600401247091733, score=0.866534 -   1.2s
[CV] c1=0.16351258739120741, c2=0.048897856380875966 .................
[CV]  c1=0.16351258739120741, c2=0.048897856380875966, score=0.803391 -   1.3s
[CV] c1=0.6049413025823412, c2=0.010922031753983853 ..................
[CV]  c1=0.6049413025823412, c2=0.010922031753983853, score=0.731341 -   1.0s
[CV] c1=0.014413290557860604, c2=0.10553882904148426 .................
[CV]  c1=0.014413290557860604, c2=0.10553882904148426, score=0.798894 -   1.3s
[CV] c1=0.11653712664009563, c2=0.07180576886083312 ..................
[CV]  c1=0.11653712664009563, c2=0.07180576886083312, score=0.770687 -   1.4s
[CV] c1=0.4484870599751669, c2=0.022893665681315935 ..................
[CV]  c1=0.4484870599751669, c2=0.022893665681315935, score=0.896609 -   1.3s
[CV] c1=0.38470543020247727, c2=0.005749173096388227 .................
[CV]  c1=0.38470543020247727, c2=0.005749173096388227, score=0.803391 -   1.3s
[CV] c1=0.5747209514825438, c2=0.012826709801268528 ..................
[CV]  c1=0.5747209514825438, c2=0.012826709801268528, score=0.717445 -   1.3s
[CV] c1=0.5695902076833989, c2=0.024809649297117597 ..................
[CV]  c1=0.5695902076833989, c2=0.024809649297117597, score=0.877083 -   1.3s
[CV] c1=0.7617211465879841, c2=0.02660994481683068 ...................
[CV]  c1=0.7617211465879841, c2=0.02660994481683068, score=0.690039 -   1.0s
[CV] c1=0.2572587039801571, c2=0.09415941800377575 ...................
[CV]  c1=0.2572587039801571, c2=0.09415941800377575, score=0.892505 -   1.2s
[CV] c1=1.6029677480396236, c2=0.1239435765318885 ....................
[CV]  c1=1.6029677480396236, c2=0.1239435765318885, score=0.742714 -   1.2s
[CV] c1=0.7107594957756591, c2=0.024600401247091733 ..................
[CV]  c1=0.7107594957756591, c2=0.024600401247091733, score=0.689910 -   1.3s
[CV] c1=0.011642248135729791, c2=0.17466617847308677 .................
[CV]  c1=0.011642248135729791, c2=0.17466617847308677, score=0.849610 -   1.2s
[CV] c1=0.6049413025823412, c2=0.010922031753983853 ..................
[CV]  c1=0.6049413025823412, c2=0.010922031753983853, score=0.820222 -   1.2s
[CV] c1=0.2446293920817947, c2=0.13053844005700593 ...................
[CV]  c1=0.2446293920817947, c2=0.13053844005700593, score=0.761835 -   1.3s
[CV] c1=0.9080286811961094, c2=0.06024915330464806 ...................
[CV]  c1=0.9080286811961094, c2=0.06024915330464806, score=0.857265 -   1.1s
[CV] c1=1.2303195952750097, c2=0.08983329104716604 ...................
[CV]  c1=1.2303195952750097, c2=0.08983329104716604, score=0.858209 -   1.2s
[CV] c1=0.5788576664607393, c2=0.11171284500860112 ...................
[CV]  c1=0.5788576664607393, c2=0.11171284500860112, score=0.866201 -   1.2s
[CV] c1=0.36799976450560473, c2=0.12516279902930097 ..................
[CV]  c1=0.36799976450560473, c2=0.12516279902930097, score=0.738266 -   1.3s
[CV] c1=0.5904623382086371, c2=0.015237631930361293 ..................
[CV]  c1=0.5904623382086371, c2=0.015237631930361293, score=0.728456 -   1.0s
[CV] c1=0.14888088020426302, c2=0.002342455914652591 .................
[CV]  c1=0.14888088020426302, c2=0.002342455914652591, score=0.803391 -   1.3s
[CV] c1=0.10183472167855392, c2=0.03995765343738222 ..................
[CV]  c1=0.10183472167855392, c2=0.03995765343738222, score=0.810511 -   1.3s
[CV] c1=1.3798536075014867, c2=0.16768190227851176 ...................
[CV]  c1=1.3798536075014867, c2=0.16768190227851176, score=0.675660 -   1.2s
[CV] c1=0.7538776384565248, c2=0.03684879903949351 ...................
[CV]  c1=0.7538776384565248, c2=0.03684879903949351, score=0.869912 -   1.2s
[CV] c1=0.16351258739120741, c2=0.048897856380875966 .................
[CV]  c1=0.16351258739120741, c2=0.048897856380875966, score=0.707416 -   1.0s
[CV] c1=0.1148806910309716, c2=0.05803079859184623 ...................
[CV]  c1=0.1148806910309716, c2=0.05803079859184623, score=0.830263 -   1.3s
[CV] c1=0.014413290557860604, c2=0.10553882904148426 .................
[CV]  c1=0.014413290557860604, c2=0.10553882904148426, score=0.760368 -   1.3s
[CV] c1=0.7856481160808001, c2=0.04326415508782094 ...................
[CV]  c1=0.7856481160808001, c2=0.04326415508782094, score=0.865518 -   1.1s
[CV] c1=0.014787716566398695, c2=0.0248284181151139 ..................
[CV]  c1=0.014787716566398695, c2=0.0248284181151139, score=0.860542 -   1.1s
[CV] c1=0.5687860718036892, c2=0.11908885363415607 ...................
[CV]  c1=0.5687860718036892, c2=0.11908885363415607, score=0.771600 -   1.3s
[CV] c1=0.24384998364785695, c2=0.05616301131619426 ..................
[CV]  c1=0.24384998364785695, c2=0.05616301131619426, score=0.700216 -   1.1s
[CV] c1=1.4609730560426324, c2=0.10449649724069127 ...................
[CV]  c1=1.4609730560426324, c2=0.10449649724069127, score=0.749995 -   1.2s
[CV] c1=0.16119886488886953, c2=0.06001264929445023 ..................
[CV]  c1=0.16119886488886953, c2=0.06001264929445023, score=0.879215 -   1.3s
[CV] c1=0.6892386134306103, c2=0.02856618834593172 ...................
[CV]  c1=0.6892386134306103, c2=0.02856618834593172, score=0.695446 -   1.3s
[CV] c1=1.9322723707647864, c2=0.00915240461064467 ...................
[CV]  c1=1.9322723707647864, c2=0.00915240461064467, score=0.677213 -   1.2s
[CV] c1=0.1780468124617126, c2=0.09127260881381476 ...................
[CV]  c1=0.1780468124617126, c2=0.09127260881381476, score=0.785386 -   1.3s
[CV] c1=0.15264464397431232, c2=0.16980952782623102 ..................
[CV]  c1=0.15264464397431232, c2=0.16980952782623102, score=0.755700 -   1.3s
[CV] c1=0.1148806910309716, c2=0.05803079859184623 ...................
[CV]  c1=0.1148806910309716, c2=0.05803079859184623, score=0.852373 -   1.3s
[CV] c1=0.014413290557860604, c2=0.10553882904148426 .................
[CV]  c1=0.014413290557860604, c2=0.10553882904148426, score=0.869193 -   1.3s
[CV] c1=0.11653712664009563, c2=0.07180576886083312 ..................
[CV]  c1=0.11653712664009563, c2=0.07180576886083312, score=0.797959 -   1.3s
[CV] c1=0.014787716566398695, c2=0.0248284181151139 ..................
[CV]  c1=0.014787716566398695, c2=0.0248284181151139, score=0.865271 -   1.0s
[CV] c1=0.5687860718036892, c2=0.11908885363415607 ...................
[CV]  c1=0.5687860718036892, c2=0.11908885363415607, score=0.841859 -   1.3s
[CV] c1=0.06982634353921738, c2=0.06755270978792392 ..................
[CV]  c1=0.06982634353921738, c2=0.06755270978792392, score=0.733267 -   1.0s
[CV] c1=0.4878362140706995, c2=0.13952815497698176 ...................
[CV]  c1=0.4878362140706995, c2=0.13952815497698176, score=0.779662 -   1.2s
[CV] c1=0.5695902076833989, c2=0.024809649297117597 ..................
[CV]  c1=0.5695902076833989, c2=0.024809649297117597, score=0.785028 -   1.4s
[CV] c1=0.6285391289026315, c2=0.025910179812626777 ..................
[CV]  c1=0.6285391289026315, c2=0.025910179812626777, score=0.698176 -   1.4s
[CV] c1=1.6016276682538402, c2=0.008072408672800445 ..................
[CV]  c1=1.6016276682538402, c2=0.008072408672800445, score=0.804531 -   1.2s
[CV] c1=0.580701623980617, c2=0.011911061460936394 ...................
[CV]  c1=0.580701623980617, c2=0.011911061460936394, score=0.733547 -   1.0s
[CV] c1=0.2000293394998144, c2=0.04063785789047965 ...................
[CV]  c1=0.2000293394998144, c2=0.04063785789047965, score=0.803391 -   1.3s
[CV] c1=0.007650642971145818, c2=0.08010143118866284 .................
[CV]  c1=0.007650642971145818, c2=0.08010143118866284, score=0.751251 -   1.0s
[CV] c1=0.7548861783103031, c2=0.13045649066739426 ...................
[CV]  c1=0.7548861783103031, c2=0.13045649066739426, score=0.859907 -   1.3s
[CV] c1=0.6713878774185328, c2=0.021346327416170343 ..................
[CV]  c1=0.6713878774185328, c2=0.021346327416170343, score=0.701427 -   1.0s
[CV] c1=0.3155976583171592, c2=0.031200585577398545 ..................
[CV]  c1=0.3155976583171592, c2=0.031200585577398545, score=0.803391 -   1.2s
[CV] c1=0.14151707151949006, c2=0.015474265603229407 .................
[CV]  c1=0.14151707151949006, c2=0.015474265603229407, score=0.722309 -   1.0s
[CV] c1=0.5687860718036892, c2=0.11908885363415607 ...................
[CV]  c1=0.5687860718036892, c2=0.11908885363415607, score=0.668685 -   1.0s
[CV] c1=0.5602236999794388, c2=0.21152965791659661 ...................
[CV]  c1=0.5602236999794388, c2=0.21152965791659661, score=0.762637 -   1.2s
[CV] c1=0.4878362140706995, c2=0.13952815497698176 ...................
[CV]  c1=0.4878362140706995, c2=0.13952815497698176, score=0.768232 -   1.2s
[CV] c1=0.5695902076833989, c2=0.024809649297117597 ..................
[CV]  c1=0.5695902076833989, c2=0.024809649297117597, score=0.834640 -   1.2s
[CV] c1=0.7617211465879841, c2=0.02660994481683068 ...................
[CV]  c1=0.7617211465879841, c2=0.02660994481683068, score=0.806048 -   1.2s
[CV] c1=0.9115977452357293, c2=0.03243555016953995 ...................
[CV]  c1=0.9115977452357293, c2=0.03243555016953995, score=0.660658 -   1.0s
[CV] c1=1.6029677480396236, c2=0.1239435765318885 ....................
[CV]  c1=1.6029677480396236, c2=0.1239435765318885, score=0.613242 -   1.2s
[CV] c1=0.7107594957756591, c2=0.024600401247091733 ..................
[CV]  c1=0.7107594957756591, c2=0.024600401247091733, score=0.806048 -   1.2s
[CV] c1=0.011642248135729791, c2=0.17466617847308677 .................
[CV]  c1=0.011642248135729791, c2=0.17466617847308677, score=0.769689 -   1.3s
[CV] c1=0.7548861783103031, c2=0.13045649066739426 ...................
[CV]  c1=0.7548861783103031, c2=0.13045649066739426, score=0.629401 -   1.0s
[CV] c1=0.5004405692749273, c2=0.12252232695603499 ...................
[CV]  c1=0.5004405692749273, c2=0.12252232695603499, score=0.779662 -   1.3s
[CV] c1=0.7856481160808001, c2=0.04326415508782094 ...................
[CV]  c1=0.7856481160808001, c2=0.04326415508782094, score=0.801857 -   1.1s
[CV] c1=0.6241832449537115, c2=0.0062831007273730895 .................
[CV]  c1=0.6241832449537115, c2=0.0062831007273730895, score=0.735704 -   1.0s
[CV] c1=0.49080994807976325, c2=0.03093563799058792 ..................
[CV]  c1=0.49080994807976325, c2=0.03093563799058792, score=0.852516 -   1.2s
[CV] c1=0.24384998364785695, c2=0.05616301131619426 ..................
[CV]  c1=0.24384998364785695, c2=0.05616301131619426, score=0.857556 -   1.2s
[CV] c1=0.12551263848169134, c2=0.04036242512389447 ..................
[CV]  c1=0.12551263848169134, c2=0.04036242512389447, score=0.801771 -   1.3s
[CV] c1=0.11853292158326188, c2=0.026336982837806607 .................
[CV]  c1=0.11853292158326188, c2=0.026336982837806607, score=0.855151 -   1.1s
[CV] c1=0.10183472167855392, c2=0.03995765343738222 ..................
[CV]  c1=0.10183472167855392, c2=0.03995765343738222, score=0.699638 -   1.0s
[CV] c1=1.6016276682538402, c2=0.008072408672800445 ..................
[CV]  c1=1.6016276682538402, c2=0.008072408672800445, score=0.733134 -   1.1s
[CV] c1=0.580701623980617, c2=0.011911061460936394 ...................
[CV]  c1=0.580701623980617, c2=0.011911061460936394, score=0.712227 -   1.3s
[CV] c1=0.15264464397431232, c2=0.16980952782623102 ..................
[CV]  c1=0.15264464397431232, c2=0.16980952782623102, score=0.886150 -   1.3s
[CV] c1=0.009674241406664456, c2=0.06458261316205782 .................
[CV]  c1=0.009674241406664456, c2=0.06458261316205782, score=0.748854 -   1.0s
[CV] c1=0.06808959963948831, c2=0.024228973765303023 .................
[CV]  c1=0.06808959963948831, c2=0.024228973765303023, score=0.770687 -   1.3s
[CV] c1=1.6602536825981897, c2=0.03745772972510767 ...................
[CV]  c1=1.6602536825981897, c2=0.03745772972510767, score=0.734193 -   1.2s
[CV] c1=0.771988724656017, c2=0.029088096321244268 ...................
[CV]  c1=0.771988724656017, c2=0.029088096321244268, score=0.696771 -   0.8s
[CV] c1=0.24853127524577961, c2=0.06412369962311747 ..................
[CV]  c1=0.24853127524577961, c2=0.06412369962311747, score=0.785386 -   1.0s
[CV] c1=0.3144784413150082, c2=0.07365682353960805 ...................
[CV]  c1=0.3144784413150082, c2=0.07365682353960805, score=0.679945 -   1.0s
[CV] c1=0.5602236999794388, c2=0.21152965791659661 ...................
[CV]  c1=0.5602236999794388, c2=0.21152965791659661, score=0.659797 -   1.0s
[CV] c1=0.6845668419347021, c2=0.01000386031538311 ...................
[CV]  c1=0.6845668419347021, c2=0.01000386031538311, score=0.771203 -   1.3s
[CV] c1=0.045245215615590674, c2=0.014147256023905711 ................
[CV]  c1=0.045245215615590674, c2=0.014147256023905711, score=0.860542 -   1.2s
[CV] c1=0.025214269911177895, c2=0.09637388392246364 .................
[CV]  c1=0.025214269911177895, c2=0.09637388392246364, score=0.849610 -   1.2s
[CV] c1=0.2572587039801571, c2=0.09415941800377575 ...................
[CV]  c1=0.2572587039801571, c2=0.09415941800377575, score=0.800115 -   1.3s
[CV] c1=0.16697523922340698, c2=0.04566004825574511 ..................
[CV]  c1=0.16697523922340698, c2=0.04566004825574511, score=0.860111 -   1.3s
[CV] c1=0.2000293394998144, c2=0.04063785789047965 ...................
[CV]  c1=0.2000293394998144, c2=0.04063785789047965, score=0.857556 -   1.2s
[CV] c1=0.25475561858271334, c2=0.0008054083533165053 ................
[CV]  c1=0.25475561858271334, c2=0.0008054083533165053, score=0.864978 -   1.2s
[CV] c1=0.7548861783103031, c2=0.13045649066739426 ...................
[CV]  c1=0.7548861783103031, c2=0.13045649066739426, score=0.770550 -   1.3s
[CV] c1=0.6713878774185328, c2=0.021346327416170343 ..................
[CV]  c1=0.6713878774185328, c2=0.021346327416170343, score=0.825215 -   1.2s
[CV] c1=0.9080286811961094, c2=0.06024915330464806 ...................
[CV]  c1=0.9080286811961094, c2=0.06024915330464806, score=0.666644 -   1.1s
[CV] c1=0.14151707151949006, c2=0.015474265603229407 .................
[CV]  c1=0.14151707151949006, c2=0.015474265603229407, score=0.801856 -   1.3s
[CV] c1=0.5788576664607393, c2=0.11171284500860112 ...................
[CV]  c1=0.5788576664607393, c2=0.11171284500860112, score=0.776196 -   1.2s
[CV] c1=0.36799976450560473, c2=0.12516279902930097 ..................
[CV]  c1=0.36799976450560473, c2=0.12516279902930097, score=0.832423 -   1.2s
[CV] c1=0.5904623382086371, c2=0.015237631930361293 ..................
[CV]  c1=0.5904623382086371, c2=0.015237631930361293, score=0.874628 -   1.2s
[CV] c1=1.536708291810509, c2=0.012284993457677822 ...................
[CV]  c1=1.536708291810509, c2=0.012284993457677822, score=0.563197 -   1.0s
[CV] c1=0.9344397321605332, c2=0.01999218076304099 ...................
[CV]  c1=0.9344397321605332, c2=0.01999218076304099, score=0.640462 -   1.0s
[CV] c1=0.9834884830553297, c2=0.053056358908440016 ..................
[CV]  c1=0.9834884830553297, c2=0.053056358908440016, score=0.782063 -   1.2s
[CV] c1=0.3383929108196391, c2=0.015183022070288306 ..................
[CV]  c1=0.3383929108196391, c2=0.015183022070288306, score=0.793437 -   1.2s
[CV] c1=0.3357221753853833, c2=0.04976244774467052 ...................
[CV]  c1=0.3357221753853833, c2=0.04976244774467052, score=0.711045 -   1.1s
[CV] c1=0.25475561858271334, c2=0.0008054083533165053 ................
[CV]  c1=0.25475561858271334, c2=0.0008054083533165053, score=0.807319 -   1.3s
[CV] c1=0.7548861783103031, c2=0.13045649066739426 ...................
[CV]  c1=0.7548861783103031, c2=0.13045649066739426, score=0.757996 -   1.3s
[CV] c1=1.2171309549010048, c2=0.03175566022096391 ...................
[CV]  c1=1.2171309549010048, c2=0.03175566022096391, score=0.611373 -   1.0s
[CV] c1=0.7856481160808001, c2=0.04326415508782094 ...................
[CV]  c1=0.7856481160808001, c2=0.04326415508782094, score=0.763080 -   1.2s
[CV] c1=0.4484870599751669, c2=0.022893665681315935 ..................
[CV]  c1=0.4484870599751669, c2=0.022893665681315935, score=0.742265 -   1.3s
[CV] c1=0.38470543020247727, c2=0.005749173096388227 .................
[CV]  c1=0.38470543020247727, c2=0.005749173096388227, score=0.855313 -   1.2s
[CV] c1=0.6845668419347021, c2=0.01000386031538311 ...................
[CV]  c1=0.6845668419347021, c2=0.01000386031538311, score=0.820222 -   1.2s
[CV] c1=3.2200558452609496, c2=0.04072267672587963 ...................
[CV]  c1=3.2200558452609496, c2=0.04072267672587963, score=0.539004 -   1.2s
[CV] c1=0.025214269911177895, c2=0.09637388392246364 .................
[CV]  c1=0.025214269911177895, c2=0.09637388392246364, score=0.874397 -   1.2s
[CV] c1=0.2572587039801571, c2=0.09415941800377575 ...................
[CV]  c1=0.2572587039801571, c2=0.09415941800377575, score=0.699481 -   1.0s
[CV] c1=1.8229197187357165, c2=0.03691366937876828 ...................
[CV]  c1=1.8229197187357165, c2=0.03691366937876828, score=0.724203 -   1.2s
[CV] c1=0.7538776384565248, c2=0.03684879903949351 ...................
[CV]  c1=0.7538776384565248, c2=0.03684879903949351, score=0.689136 -   1.3s
[CV] c1=0.011642248135729791, c2=0.17466617847308677 .................
[CV]  c1=0.011642248135729791, c2=0.17466617847308677, score=0.872534 -   1.2s
[CV] c1=0.6049413025823412, c2=0.010922031753983853 ..................
[CV]  c1=0.6049413025823412, c2=0.010922031753983853, score=0.872378 -   1.2s
[CV] c1=0.2446293920817947, c2=0.13053844005700593 ...................
[CV]  c1=0.2446293920817947, c2=0.13053844005700593, score=0.886150 -   1.3s
[CV] c1=0.7856481160808001, c2=0.04326415508782094 ...................
[CV]  c1=0.7856481160808001, c2=0.04326415508782094, score=0.669989 -   1.2s
[CV] c1=0.6241832449537115, c2=0.0062831007273730895 .................
[CV]  c1=0.6241832449537115, c2=0.0062831007273730895, score=0.785028 -   1.3s
[CV] c1=0.38470543020247727, c2=0.005749173096388227 .................
[CV]  c1=0.38470543020247727, c2=0.005749173096388227, score=0.789470 -   1.3s
[CV] c1=0.5747209514825438, c2=0.012826709801268528 ..................
[CV]  c1=0.5747209514825438, c2=0.012826709801268528, score=0.881583 -   1.2s
[CV] c1=0.045245215615590674, c2=0.014147256023905711 ................
[CV]  c1=0.045245215615590674, c2=0.014147256023905711, score=0.720808 -   1.0s
[CV] c1=1.536708291810509, c2=0.012284993457677822 ...................
[CV]  c1=1.536708291810509, c2=0.012284993457677822, score=0.733134 -   1.2s
[CV] c1=0.10261782331665782, c2=0.10139375186320956 ..................
[CV]  c1=0.10261782331665782, c2=0.10139375186320956, score=0.852982 -   1.2s
[CV] c1=1.3798536075014867, c2=0.16768190227851176 ...................
[CV]  c1=1.3798536075014867, c2=0.16768190227851176, score=0.616107 -   1.2s
[CV] c1=0.16163118929722667, c2=0.012468489221368095 .................
[CV]  c1=0.16163118929722667, c2=0.012468489221368095, score=0.860111 -   1.2s
[CV] c1=0.16351258739120741, c2=0.048897856380875966 .................
[CV]  c1=0.16351258739120741, c2=0.048897856380875966, score=0.904464 -   1.3s
[CV] c1=0.22658361130810864, c2=0.04147647286978085 ..................
[CV]  c1=0.22658361130810864, c2=0.04147647286978085, score=0.847968 -   1.3s
[CV] c1=0.2446293920817947, c2=0.13053844005700593 ...................
[CV]  c1=0.2446293920817947, c2=0.13053844005700593, score=0.701658 -   1.1s
[CV] c1=0.3155976583171592, c2=0.031200585577398545 ..................
[CV]  c1=0.3155976583171592, c2=0.031200585577398545, score=0.898720 -   1.2s
[CV] c1=0.014787716566398695, c2=0.0248284181151139 ..................
[CV]  c1=0.014787716566398695, c2=0.0248284181151139, score=0.755335 -   0.8s
[CV] c1=0.39020323715703814, c2=0.17107364607453243 ..................
[CV]  c1=0.39020323715703814, c2=0.17107364607453243, score=0.690747 -   1.4s
[CV] c1=0.6251682361311524, c2=0.00566888471902296 ...................
[CV]  c1=0.6251682361311524, c2=0.00566888471902296, score=0.879128 -   1.3s
[CV] c1=0.2622142170188188, c2=0.036576716719336565 ..................
[CV]  c1=0.2622142170188188, c2=0.036576716719336565, score=0.717151 -   0.8s
[CV] c1=0.045245215615590674, c2=0.014147256023905711 ................
[CV]  c1=0.045245215615590674, c2=0.014147256023905711, score=0.774004 -   1.3s
[CV] c1=0.7617211465879841, c2=0.02660994481683068 ...................
[CV]  c1=0.7617211465879841, c2=0.02660994481683068, score=0.676438 -   1.3s
[CV] c1=0.9115977452357293, c2=0.03243555016953995 ...................
[CV]  c1=0.9115977452357293, c2=0.03243555016953995, score=0.633739 -   1.3s
[CV] c1=0.3383929108196391, c2=0.015183022070288306 ..................
[CV]  c1=0.3383929108196391, c2=0.015183022070288306, score=0.723454 -   1.0s
[CV] c1=0.2000293394998144, c2=0.04063785789047965 ...................
[CV]  c1=0.2000293394998144, c2=0.04063785789047965, score=0.886597 -   1.3s
[CV] c1=0.25475561858271334, c2=0.0008054083533165053 ................
[CV]  c1=0.25475561858271334, c2=0.0008054083533165053, score=0.720534 -   1.0s
[CV] c1=0.6049413025823412, c2=0.010922031753983853 ..................
[CV]  c1=0.6049413025823412, c2=0.010922031753983853, score=0.704323 -   1.3s
[CV] c1=0.2446293920817947, c2=0.13053844005700593 ...................
[CV]  c1=0.2446293920817947, c2=0.13053844005700593, score=0.785853 -   1.3s
[CV] c1=0.9080286811961094, c2=0.06024915330464806 ...................
[CV]  c1=0.9080286811961094, c2=0.06024915330464806, score=0.782063 -   1.1s
[CV] c1=0.14151707151949006, c2=0.015474265603229407 .................
[CV]  c1=0.14151707151949006, c2=0.015474265603229407, score=0.865502 -   1.1s
[CV] c1=0.49080994807976325, c2=0.03093563799058792 ..................
[CV]  c1=0.49080994807976325, c2=0.03093563799058792, score=0.724460 -   1.0s
[CV] c1=0.6251682361311524, c2=0.00566888471902296 ...................
[CV]  c1=0.6251682361311524, c2=0.00566888471902296, score=0.779023 -   1.3s
[CV] c1=1.4609730560426324, c2=0.10449649724069127 ...................
[CV]  c1=1.4609730560426324, c2=0.10449649724069127, score=0.622844 -   1.3s
[CV] c1=0.14888088020426302, c2=0.002342455914652591 .................
[CV]  c1=0.14888088020426302, c2=0.002342455914652591, score=0.902470 -   1.2s
[CV] c1=0.6892386134306103, c2=0.02856618834593172 ...................
[CV]  c1=0.6892386134306103, c2=0.02856618834593172, score=0.814764 -   1.2s
[CV] c1=1.6016276682538402, c2=0.008072408672800445 ..................
[CV]  c1=1.6016276682538402, c2=0.008072408672800445, score=0.539598 -   1.3s
[CV] c1=0.1780468124617126, c2=0.09127260881381476 ...................
[CV]  c1=0.1780468124617126, c2=0.09127260881381476, score=0.711043 -   1.0s
[CV] c1=0.3220338418073361, c2=0.022054924404059657 ..................
[CV]  c1=0.3220338418073361, c2=0.022054924404059657, score=0.901363 -   1.1s
[CV] c1=0.007650642971145818, c2=0.08010143118866284 .................
[CV]  c1=0.007650642971145818, c2=0.08010143118866284, score=0.802578 -   1.3s
[CV] c1=0.06808959963948831, c2=0.024228973765303023 .................
[CV]  c1=0.06808959963948831, c2=0.024228973765303023, score=0.860542 -   1.2s
[CV] c1=1.2171309549010048, c2=0.03175566022096391 ...................
[CV]  c1=1.2171309549010048, c2=0.03175566022096391, score=0.625881 -   1.3s
[CV] c1=3.159409082522275, c2=0.021717949532795412 ...................
[CV]  c1=3.159409082522275, c2=0.021717949532795412, score=0.497374 -   1.0s
[CV] c1=1.2303195952750097, c2=0.08983329104716604 ...................
[CV]  c1=1.2303195952750097, c2=0.08983329104716604, score=0.702600 -   1.2s
[CV] c1=0.5788576664607393, c2=0.11171284500860112 ...................
[CV]  c1=0.5788576664607393, c2=0.11171284500860112, score=0.672966 -   1.0s
[CV] c1=0.24384998364785695, c2=0.05616301131619426 ..................
[CV]  c1=0.24384998364785695, c2=0.05616301131619426, score=0.910372 -   1.3s
[CV] c1=0.12551263848169134, c2=0.04036242512389447 ..................
[CV]  c1=0.12551263848169134, c2=0.04036242512389447, score=0.702414 -   1.0s
[CV] c1=0.16119886488886953, c2=0.06001264929445023 ..................
[CV]  c1=0.16119886488886953, c2=0.06001264929445023, score=0.705553 -   1.0s
[CV] c1=0.6285391289026315, c2=0.025910179812626777 ..................
[CV]  c1=0.6285391289026315, c2=0.025910179812626777, score=0.709234 -   1.0s
[CV] c1=0.9115977452357293, c2=0.03243555016953995 ...................
[CV]  c1=0.9115977452357293, c2=0.03243555016953995, score=0.864182 -   1.2s
[CV] c1=1.6029677480396236, c2=0.1239435765318885 ....................
[CV]  c1=1.6029677480396236, c2=0.1239435765318885, score=0.544652 -   1.2s
[CV] c1=0.2000293394998144, c2=0.04063785789047965 ...................
[CV]  c1=0.2000293394998144, c2=0.04063785789047965, score=0.709279 -   1.1s
[CV] c1=0.011642248135729791, c2=0.17466617847308677 .................
[CV]  c1=0.011642248135729791, c2=0.17466617847308677, score=0.791659 -   1.3s
[CV] c1=0.6049413025823412, c2=0.010922031753983853 ..................
[CV]  c1=0.6049413025823412, c2=0.010922031753983853, score=0.779023 -   1.3s
[CV] c1=0.6713878774185328, c2=0.021346327416170343 ..................
[CV]  c1=0.6713878774185328, c2=0.021346327416170343, score=0.694080 -   1.3s
[CV] c1=0.9080286811961094, c2=0.06024915330464806 ...................
[CV]  c1=0.9080286811961094, c2=0.06024915330464806, score=0.638003 -   1.1s
[CV] c1=0.05417104107174675, c2=0.003520765138305081 .................
[CV]  c1=0.05417104107174675, c2=0.003520765138305081, score=0.865622 -   1.2s
[CV] c1=0.35439994281873455, c2=0.07831673946095945 ..................
[CV]  c1=0.35439994281873455, c2=0.07831673946095945, score=0.768812 -   1.3s
[CV] c1=0.5747209514825438, c2=0.012826709801268528 ..................
[CV]  c1=0.5747209514825438, c2=0.012826709801268528, score=0.785028 -   1.3s
[CV] c1=0.5695902076833989, c2=0.024809649297117597 ..................
[CV]  c1=0.5695902076833989, c2=0.024809649297117597, score=0.717683 -   0.9s
[CV] c1=0.0013516405637636604, c2=0.02268429910046645 ................
[CV]  c1=0.0013516405637636604, c2=0.02268429910046645, score=0.763168 -   1.3s
[CV] c1=0.2572587039801571, c2=0.09415941800377575 ...................
[CV]  c1=0.2572587039801571, c2=0.09415941800377575, score=0.785386 -   1.3s
[CV] c1=1.6029677480396236, c2=0.1239435765318885 ....................
[CV]  c1=1.6029677480396236, c2=0.1239435765318885, score=0.688780 -   1.1s
[CV] c1=0.7107594957756591, c2=0.024600401247091733 ..................
[CV]  c1=0.7107594957756591, c2=0.024600401247091733, score=0.691671 -   1.0s
[CV] c1=0.32409549799271087, c2=0.007259138289623209 .................
[CV]  c1=0.32409549799271087, c2=0.007259138289623209, score=0.729937 -   1.0s
[CV] c1=0.009674241406664456, c2=0.06458261316205782 .................
[CV]  c1=0.009674241406664456, c2=0.06458261316205782, score=0.802578 -   1.2s
[CV] c1=0.6166117764950539, c2=0.003187591491384325 ..................
[CV]  c1=0.6166117764950539, c2=0.003187591491384325, score=0.779023 -   1.3s
[CV] c1=0.8668491702292763, c2=0.029181484556237636 ..................
[CV]  c1=0.8668491702292763, c2=0.029181484556237636, score=0.656378 -   1.0s
[CV] c1=0.4870418139729177, c2=0.08752603552461323 ...................
[CV]  c1=0.4870418139729177, c2=0.08752603552461323, score=0.688930 -   0.8s
[CV] c1=0.21534833852458904, c2=0.040356815352803284 .................
[CV]  c1=0.21534833852458904, c2=0.040356815352803284, score=0.803391 -   1.0s
[CV] c1=0.39020323715703814, c2=0.17107364607453243 ..................
[CV]  c1=0.39020323715703814, c2=0.17107364607453243, score=0.788668 -   1.3s
[CV] c1=0.6251682361311524, c2=0.00566888471902296 ...................
[CV]  c1=0.6251682361311524, c2=0.00566888471902296, score=0.702199 -   1.3s
[CV] c1=0.2622142170188188, c2=0.036576716719336565 ..................
[CV]  c1=0.2622142170188188, c2=0.036576716719336565, score=0.860111 -   1.2s
[CV] c1=0.48718650351646264, c2=0.04057399883412844 ..................
[CV]  c1=0.48718650351646264, c2=0.04057399883412844, score=0.842306 -   1.3s
[CV] c1=0.6285391289026315, c2=0.025910179812626777 ..................
[CV]  c1=0.6285391289026315, c2=0.025910179812626777, score=0.808709 -   1.2s
[CV] c1=0.9834884830553297, c2=0.053056358908440016 ..................
[CV]  c1=0.9834884830553297, c2=0.053056358908440016, score=0.633739 -   1.3s
[CV] c1=0.580701623980617, c2=0.011911061460936394 ...................
[CV]  c1=0.580701623980617, c2=0.011911061460936394, score=0.835351 -   1.2s
[CV] c1=0.3220338418073361, c2=0.022054924404059657 ..................
[CV]  c1=0.3220338418073361, c2=0.022054924404059657, score=0.865898 -   1.2s
[CV] c1=0.014198356037110522, c2=0.04142745332578271 .................
[CV]  c1=0.014198356037110522, c2=0.04142745332578271, score=0.855537 -   1.2s
[CV] c1=0.2564871188299055, c2=0.00800829382263142 ...................
[CV]  c1=0.2564871188299055, c2=0.00800829382263142, score=0.744101 -   1.1s
[CV] c1=1.2171309549010048, c2=0.03175566022096391 ...................
[CV]  c1=1.2171309549010048, c2=0.03175566022096391, score=0.762487 -   1.2s
[CV] c1=3.159409082522275, c2=0.021717949532795412 ...................
[CV]  c1=3.159409082522275, c2=0.021717949532795412, score=0.469927 -   1.0s
[CV] c1=0.05417104107174675, c2=0.003520765138305081 .................
[CV]  c1=0.05417104107174675, c2=0.003520765138305081, score=0.733450 -   1.0s
[CV] c1=0.12102560607200287, c2=0.03527827088707329 ..................
[CV]  c1=0.12102560607200287, c2=0.03527827088707329, score=0.804160 -   1.3s
[CV] c1=0.6845668419347021, c2=0.01000386031538311 ...................
[CV]  c1=0.6845668419347021, c2=0.01000386031538311, score=0.716229 -   1.1s
[CV] c1=0.04524859693561912, c2=0.08449426180840228 ..................
[CV]  c1=0.04524859693561912, c2=0.08449426180840228, score=0.787131 -   1.3s
[CV] c1=1.536708291810509, c2=0.012284993457677822 ...................
[CV]  c1=1.536708291810509, c2=0.012284993457677822, score=0.821047 -   1.2s
[CV] c1=0.10261782331665782, c2=0.10139375186320956 ..................
[CV]  c1=0.10261782331665782, c2=0.10139375186320956, score=0.876654 -   1.2s
[CV] c1=1.3798536075014867, c2=0.16768190227851176 ...................
[CV]  c1=1.3798536075014867, c2=0.16768190227851176, score=0.551524 -   1.0s
[CV] c1=0.1780468124617126, c2=0.09127260881381476 ...................
[CV]  c1=0.1780468124617126, c2=0.09127260881381476, score=0.846513 -   1.2s
[CV] c1=0.15264464397431232, c2=0.16980952782623102 ..................
[CV]  c1=0.15264464397431232, c2=0.16980952782623102, score=0.733083 -   1.0s
[CV] c1=0.007650642971145818, c2=0.08010143118866284 .................
[CV]  c1=0.007650642971145818, c2=0.08010143118866284, score=0.849610 -   1.2s
[CV] c1=0.06808959963948831, c2=0.024228973765303023 .................
[CV]  c1=0.06808959963948831, c2=0.024228973765303023, score=0.812081 -   1.2s
[CV] c1=1.2171309549010048, c2=0.03175566022096391 ...................
[CV]  c1=1.2171309549010048, c2=0.03175566022096391, score=0.594029 -   1.2s
[CV] c1=0.771988724656017, c2=0.029088096321244268 ...................
[CV]  c1=0.771988724656017, c2=0.029088096321244268, score=0.863232 -   1.0s
[CV] c1=0.21534833852458904, c2=0.040356815352803284 .................
[CV]  c1=0.21534833852458904, c2=0.040356815352803284, score=0.860111 -   1.1s
[CV] c1=0.3144784413150082, c2=0.07365682353960805 ...................
[CV]  c1=0.3144784413150082, c2=0.07365682353960805, score=0.849570 -   1.3s
[CV] c1=0.6251682361311524, c2=0.00566888471902296 ...................
[CV]  c1=0.6251682361311524, c2=0.00566888471902296, score=0.820222 -   1.2s
[CV] c1=0.2622142170188188, c2=0.036576716719336565 ..................
[CV]  c1=0.2622142170188188, c2=0.036576716719336565, score=0.803391 -   1.3s
[CV] c1=0.16119886488886953, c2=0.06001264929445023 ..................
[CV]  c1=0.16119886488886953, c2=0.06001264929445023, score=0.852845 -   1.3s
[CV] c1=0.6892386134306103, c2=0.02856618834593172 ...................
[CV]  c1=0.6892386134306103, c2=0.02856618834593172, score=0.768304 -   1.3s
[CV] c1=1.9322723707647864, c2=0.00915240461064467 ...................
[CV]  c1=1.9322723707647864, c2=0.00915240461064467, score=0.596829 -   1.3s
[CV] c1=1.1857829723894384, c2=0.0186320801022472 ....................
[CV]  c1=1.1857829723894384, c2=0.0186320801022472, score=0.860845 -   1.3s
[CV] c1=0.11882880235834735, c2=0.07118637223552192 ..................
[CV]  c1=0.11882880235834735, c2=0.07118637223552192, score=0.699507 -   1.2s
[CV] c1=0.1148806910309716, c2=0.05803079859184623 ...................
[CV]  c1=0.1148806910309716, c2=0.05803079859184623, score=0.698183 -   1.0s
[CV] c1=0.6166117764950539, c2=0.003187591491384325 ..................
[CV]  c1=0.6166117764950539, c2=0.003187591491384325, score=0.736729 -   1.1s
[CV] c1=1.6602536825981897, c2=0.03745772972510767 ...................
[CV]  c1=1.6602536825981897, c2=0.03745772972510767, score=0.545502 -   1.0s
[CV] c1=3.159409082522275, c2=0.021717949532795412 ...................
[CV]  c1=3.159409082522275, c2=0.021717949532795412, score=0.606476 -   1.2s
[CV] c1=0.21534833852458904, c2=0.040356815352803284 .................
[CV]  c1=0.21534833852458904, c2=0.040356815352803284, score=0.793437 -   1.0s
[CV] c1=0.3144784413150082, c2=0.07365682353960805 ...................
[CV]  c1=0.3144784413150082, c2=0.07365682353960805, score=0.866176 -   1.3s
[CV] c1=0.6251682361311524, c2=0.00566888471902296 ...................
[CV]  c1=0.6251682361311524, c2=0.00566888471902296, score=0.731341 -   1.0s
[CV] c1=0.4878362140706995, c2=0.13952815497698176 ...................
[CV]  c1=0.4878362140706995, c2=0.13952815497698176, score=0.687072 -   1.3s
[CV] c1=0.48718650351646264, c2=0.04057399883412844 ..................
[CV]  c1=0.48718650351646264, c2=0.04057399883412844, score=0.887537 -   1.2s
[CV] c1=0.6285391289026315, c2=0.025910179812626777 ..................
[CV]  c1=0.6285391289026315, c2=0.025910179812626777, score=0.869581 -   1.2s
[CV] c1=0.9834884830553297, c2=0.053056358908440016 ..................
[CV]  c1=0.9834884830553297, c2=0.053056358908440016, score=0.635204 -   1.0s
[CV] c1=0.16697523922340698, c2=0.04566004825574511 ..................
[CV]  c1=0.16697523922340698, c2=0.04566004825574511, score=0.874011 -   1.4s
[CV] c1=0.3357221753853833, c2=0.04976244774467052 ...................
[CV]  c1=0.3357221753853833, c2=0.04976244774467052, score=0.904736 -   1.3s
[CV] c1=0.014198356037110522, c2=0.04142745332578271 .................
[CV]  c1=0.014198356037110522, c2=0.04142745332578271, score=0.871411 -   1.3s
[CV] c1=0.2564871188299055, c2=0.00800829382263142 ...................
[CV]  c1=0.2564871188299055, c2=0.00800829382263142, score=0.907129 -   1.3s
[CV] c1=1.6602536825981897, c2=0.03745772972510767 ...................
[CV]  c1=1.6602536825981897, c2=0.03745772972510767, score=0.709219 -   1.2s
[CV] c1=0.771988724656017, c2=0.029088096321244268 ...................
[CV]  c1=0.771988724656017, c2=0.029088096321244268, score=0.812078 -   1.0s
[CV] c1=0.24853127524577961, c2=0.06412369962311747 ..................
[CV]  c1=0.24853127524577961, c2=0.06412369962311747, score=0.903943 -   1.1s
[CV] c1=0.3144784413150082, c2=0.07365682353960805 ...................
[CV]  c1=0.3144784413150082, c2=0.07365682353960805, score=0.782166 -   1.3s
[CV] c1=0.06982634353921738, c2=0.06755270978792392 ..................
[CV]  c1=0.06982634353921738, c2=0.06755270978792392, score=0.876654 -   1.3s
[CV] c1=1.4609730560426324, c2=0.10449649724069127 ...................
[CV]  c1=1.4609730560426324, c2=0.10449649724069127, score=0.571882 -   1.0s
[CV] c1=0.48718650351646264, c2=0.04057399883412844 ..................
[CV]  c1=0.48718650351646264, c2=0.04057399883412844, score=0.702351 -   1.1s
[CV] c1=0.7617211465879841, c2=0.02660994481683068 ...................
[CV]  c1=0.7617211465879841, c2=0.02660994481683068, score=0.866394 -   1.3s
[CV] c1=0.9115977452357293, c2=0.03243555016953995 ...................
[CV]  c1=0.9115977452357293, c2=0.03243555016953995, score=0.665324 -   1.3s
[CV] c1=0.16697523922340698, c2=0.04566004825574511 ..................
[CV]  c1=0.16697523922340698, c2=0.04566004825574511, score=0.803391 -   1.3s
[CV] c1=0.3357221753853833, c2=0.04976244774467052 ...................
[CV]  c1=0.3357221753853833, c2=0.04976244774467052, score=0.785386 -   1.4s
[CV] c1=0.014198356037110522, c2=0.04142745332578271 .................
[CV]  c1=0.014198356037110522, c2=0.04142745332578271, score=0.802578 -   1.3s
[CV] c1=0.2564871188299055, c2=0.00800829382263142 ...................
[CV]  c1=0.2564871188299055, c2=0.00800829382263142, score=0.803391 -   1.3s
[CV] c1=0.9131903723021025, c2=0.024835210298008798 ..................
[CV]  c1=0.9131903723021025, c2=0.024835210298008798, score=0.654642 -   1.1s
[CV] c1=0.771988724656017, c2=0.029088096321244268 ...................
[CV]  c1=0.771988724656017, c2=0.029088096321244268, score=0.674314 -   1.0s
[CV] c1=0.6241832449537115, c2=0.0062831007273730895 .................
[CV]  c1=0.6241832449537115, c2=0.0062831007273730895, score=0.880271 -   1.2s
[CV] c1=0.5788576664607393, c2=0.11171284500860112 ...................
[CV]  c1=0.5788576664607393, c2=0.11171284500860112, score=0.771600 -   1.3s
[CV] c1=1.27873845216247, c2=0.05180008979687145 .....................
[CV]  c1=1.27873845216247, c2=0.05180008979687145, score=0.610594 -   1.2s
[CV] c1=0.5904623382086371, c2=0.015237631930361293 ..................
[CV]  c1=0.5904623382086371, c2=0.015237631930361293, score=0.830673 -   1.2s
[CV] c1=0.0013516405637636604, c2=0.02268429910046645 ................
[CV]  c1=0.0013516405637636604, c2=0.02268429910046645, score=0.889066 -   1.2s
[CV] c1=0.48925018513405577, c2=0.0457504784349429 ...................
[CV]  c1=0.48925018513405577, c2=0.0457504784349429, score=0.706289 -   1.0s
[CV] c1=0.17523174658487245, c2=0.008606397422078239 .................
[CV]  c1=0.17523174658487245, c2=0.008606397422078239, score=0.844936 -   1.3s
[CV] c1=0.16163118929722667, c2=0.012468489221368095 .................
[CV]  c1=0.16163118929722667, c2=0.012468489221368095, score=0.721656 -   1.1s
[CV] c1=0.11882880235834735, c2=0.07118637223552192 ..................
[CV]  c1=0.11882880235834735, c2=0.07118637223552192, score=0.876654 -   1.2s
[CV] c1=0.1148806910309716, c2=0.05803079859184623 ...................
[CV]  c1=0.1148806910309716, c2=0.05803079859184623, score=0.879215 -   1.2s
[CV] c1=0.2954210021125636, c2=0.03235800108438176 ...................
[CV]  c1=0.2954210021125636, c2=0.03235800108438176, score=0.710633 -   0.9s
[CV] c1=1.6602536825981897, c2=0.03745772972510767 ...................
[CV]  c1=1.6602536825981897, c2=0.03745772972510767, score=0.542114 -   1.3s
[CV] c1=0.4870418139729177, c2=0.08752603552461323 ...................
[CV]  c1=0.4870418139729177, c2=0.08752603552461323, score=0.870459 -   1.0s
[CV] c1=0.21534833852458904, c2=0.040356815352803284 .................
[CV]  c1=0.21534833852458904, c2=0.040356815352803284, score=0.725667 -   0.9s
[CV] c1=0.39020323715703814, c2=0.17107364607453243 ..................
[CV]  c1=0.39020323715703814, c2=0.17107364607453243, score=0.666692 -   1.1s
[CV] c1=0.35439994281873455, c2=0.07831673946095945 ..................
[CV]  c1=0.35439994281873455, c2=0.07831673946095945, score=0.825674 -   1.2s
[CV] c1=0.5747209514825438, c2=0.012826709801268528 ..................
[CV]  c1=0.5747209514825438, c2=0.012826709801268528, score=0.820222 -   1.1s
[CV] c1=0.045245215615590674, c2=0.014147256023905711 ................
[CV]  c1=0.045245215615590674, c2=0.014147256023905711, score=0.872889 -   1.2s
[CV] c1=0.025214269911177895, c2=0.09637388392246364 .................
[CV]  c1=0.025214269911177895, c2=0.09637388392246364, score=0.746341 -   1.0s
[CV] c1=0.48925018513405577, c2=0.0457504784349429 ...................
[CV]  c1=0.48925018513405577, c2=0.0457504784349429, score=0.886518 -   1.2s
[CV] c1=1.8229197187357165, c2=0.03691366937876828 ...................
[CV]  c1=1.8229197187357165, c2=0.03691366937876828, score=0.536727 -   1.4s
[CV] c1=0.7107594957756591, c2=0.024600401247091733 ..................
[CV]  c1=0.7107594957756591, c2=0.024600401247091733, score=0.765860 -   1.3s
[CV] c1=0.25475561858271334, c2=0.0008054083533165053 ................
[CV]  c1=0.25475561858271334, c2=0.0008054083533165053, score=0.898448 -   1.3s
[CV] c1=0.7548861783103031, c2=0.13045649066739426 ...................
[CV]  c1=0.7548861783103031, c2=0.13045649066739426, score=0.679535 -   1.3s
[CV] c1=0.6713878774185328, c2=0.021346327416170343 ..................
[CV]  c1=0.6713878774185328, c2=0.021346327416170343, score=0.779524 -   1.3s
[CV] c1=3.159409082522275, c2=0.021717949532795412 ...................
[CV]  c1=3.159409082522275, c2=0.021717949532795412, score=0.543266 -   1.2s
[CV] c1=0.4484870599751669, c2=0.022893665681315935 ..................
[CV]  c1=0.4484870599751669, c2=0.022893665681315935, score=0.794430 -   1.3s
[CV] c1=0.35439994281873455, c2=0.07831673946095945 ..................
[CV]  c1=0.35439994281873455, c2=0.07831673946095945, score=0.679285 -   1.0s
[CV] c1=1.27873845216247, c2=0.05180008979687145 .....................
[CV]  c1=1.27873845216247, c2=0.05180008979687145, score=0.564932 -   1.2s
[CV] c1=3.2200558452609496, c2=0.04072267672587963 ...................
[CV]  c1=3.2200558452609496, c2=0.04072267672587963, score=0.384122 -   1.0s
[CV] c1=0.11853292158326188, c2=0.026336982837806607 .................
[CV]  c1=0.11853292158326188, c2=0.026336982837806607, score=0.804160 -   1.3s
[CV] c1=0.10261782331665782, c2=0.10139375186320956 ..................
[CV]  c1=0.10261782331665782, c2=0.10139375186320956, score=0.705777 -   1.1s
[CV] c1=0.17523174658487245, c2=0.008606397422078239 .................
[CV]  c1=0.17523174658487245, c2=0.008606397422078239, score=0.903226 -   1.2s
[CV] c1=1.1857829723894384, c2=0.0186320801022472 ....................
[CV]  c1=1.1857829723894384, c2=0.0186320801022472, score=0.623341 -   0.9s
[CV] c1=0.3220338418073361, c2=0.022054924404059657 ..................
[CV]  c1=0.3220338418073361, c2=0.022054924404059657, score=0.803391 -   1.3s
[CV] c1=0.009674241406664456, c2=0.06458261316205782 .................
[CV]  c1=0.009674241406664456, c2=0.06458261316205782, score=0.869154 -   1.3s
[CV] c1=0.6166117764950539, c2=0.003187591491384325 ..................
[CV]  c1=0.6166117764950539, c2=0.003187591491384325, score=0.879128 -   1.3s
[CV] c1=0.9131903723021025, c2=0.024835210298008798 ..................
[CV]  c1=0.9131903723021025, c2=0.024835210298008798, score=0.674986 -   1.2s
[CV] c1=0.4870418139729177, c2=0.08752603552461323 ...................
[CV]  c1=0.4870418139729177, c2=0.08752603552461323, score=0.795828 -   0.9s
Training done in: 17.420500s
     Saving training model...
        Saving training model done in: 0.013576s
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Prediction done in: 0.027719s