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

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Run15_v11.txt 73 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: Run15
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: TrueS4: True
Run variant: 11
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: 0.003685s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0        1
0       lemma        :
1      postag        :
2    -1:lemma       in
3   -1:postag       IN
4    +1:lemma       m9
5   +1:postag       NN
6        word        :
7     isUpper    False
8     isLower    False
9     isGreek    False
10   isNumber    False
11    -1:word       in
12    +1:word       M9
13   -2:lemma  culture
14  -2:postag      VBN
15   +2:lemma  minimal
16  +2:postag       JJ
17     -1:ner        _
18     +1:ner      MED
19     -2:ner        _
20     +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        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
13   -2:lemma     affyexp
14  -2:postag          JJ
15   +2:lemma     glucose
16  +2:postag          NN
17     -1:ner           _
18     +1:ner           _
19     -2:ner           _
20     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.17834555233152488, c2=0.10996144156609017 ..................
[CV]  c1=0.17834555233152488, c2=0.10996144156609017, score=0.863073 -   1.7s
[CV] c1=0.5294703777711679, c2=0.0020793700224800613 .................
[CV]  c1=0.5294703777711679, c2=0.0020793700224800613, score=0.845691 -   1.6s
[CV] c1=3.1554496463533845, c2=0.14990973546753225 ...................
[CV]  c1=3.1554496463533845, c2=0.14990973546753225, score=0.580860 -   1.8s
[CV] c1=0.249991730805719, c2=0.0018267023590074673 ..................
[CV]  c1=0.249991730805719, c2=0.0018267023590074673, score=0.902131 -   1.7s
[CV] c1=0.24697660920398787, c2=0.053827349300286875 .................
[CV]  c1=0.24697660920398787, c2=0.053827349300286875, score=0.798958 -   1.7s
[CV] c1=0.7546612573959834, c2=0.017586396647506358 ..................
[CV]  c1=0.7546612573959834, c2=0.017586396647506358, score=0.802919 -   1.6s
[CV] c1=0.2707113918344585, c2=0.0733192071229363 ....................
[CV]  c1=0.2707113918344585, c2=0.0733192071229363, score=0.867011 -   2.0s
[CV] c1=0.2274255396656579, c2=0.001622318941417065 ..................
[CV]  c1=0.2274255396656579, c2=0.001622318941417065, score=0.802641 -   1.7s
[CV] c1=0.14989891150259885, c2=0.04026126734799857 ..................
[CV]  c1=0.14989891150259885, c2=0.04026126734799857, score=0.717077 -   1.2s
[CV] c1=0.04591833901901307, c2=0.04506768525582386 ..................
[CV]  c1=0.04591833901901307, c2=0.04506768525582386, score=0.853487 -   1.7s
[CV] c1=0.05379502071735913, c2=0.11696620802713154 ..................
[CV]  c1=0.05379502071735913, c2=0.11696620802713154, score=0.874087 -   1.7s
[CV] c1=0.4591196186227464, c2=0.015823498917695137 ..................
[CV]  c1=0.4591196186227464, c2=0.015823498917695137, score=0.727393 -   1.4s
[CV] c1=0.17834555233152488, c2=0.10996144156609017 ..................
[CV]  c1=0.17834555233152488, c2=0.10996144156609017, score=0.879144 -   1.5s
[CV] c1=0.5024946668118309, c2=0.10622392182523616 ...................
[CV]  c1=0.5024946668118309, c2=0.10622392182523616, score=0.690851 -   1.4s
[CV] c1=0.21288708960884783, c2=0.04101230733533645 ..................
[CV]  c1=0.21288708960884783, c2=0.04101230733533645, score=0.883109 -   1.7s
[CV] c1=0.9330681501478761, c2=0.13663204477083646 ...................
[CV]  c1=0.9330681501478761, c2=0.13663204477083646, score=0.650758 -   1.8s
[CV] c1=0.15522986066221245, c2=0.010699806528435217 .................
[CV]  c1=0.15522986066221245, c2=0.010699806528435217, score=0.844425 -   1.8s
[CV] c1=0.9088529820027, c2=0.03142289251746005 ......................
[CV]  c1=0.9088529820027, c2=0.03142289251746005, score=0.658199 -   1.5s
[CV] c1=0.4599025934551144, c2=0.023645310697866545 ..................
[CV]  c1=0.4599025934551144, c2=0.023645310697866545, score=0.753245 -   2.1s
[CV] c1=0.23340464906472164, c2=0.01673307330431866 ..................
[CV]  c1=0.23340464906472164, c2=0.01673307330431866, score=0.854628 -   1.8s
[CV] c1=0.5709788721295816, c2=0.0030155291636035754 .................
[CV]  c1=0.5709788721295816, c2=0.0030155291636035754, score=0.732499 -   1.7s
[CV] c1=0.5338177522516205, c2=0.002937330454509758 ..................
[CV]  c1=0.5338177522516205, c2=0.002937330454509758, score=0.820626 -   1.7s
[CV] c1=0.09503780169224162, c2=0.1661752535441613 ...................
[CV]  c1=0.09503780169224162, c2=0.1661752535441613, score=0.876619 -   1.6s
[CV] c1=1.9422638628769362, c2=0.01576760173627379 ...................
[CV]  c1=1.9422638628769362, c2=0.01576760173627379, score=0.808815 -   1.7s
[CV] c1=0.08764045084224342, c2=0.027798269924700875 .................
[CV]  c1=0.08764045084224342, c2=0.027798269924700875, score=0.791894 -   1.7s
[CV] c1=0.8742706877853186, c2=0.02599978337319932 ...................
[CV]  c1=0.8742706877853186, c2=0.02599978337319932, score=0.738662 -   1.7s
[CV] c1=0.6499085958067011, c2=0.057384376855606684 ..................
[CV]  c1=0.6499085958067011, c2=0.057384376855606684, score=0.819343 -   1.6s
[CV] c1=0.10895042392114353, c2=0.04125068760744757 ..................
[CV]  c1=0.10895042392114353, c2=0.04125068760744757, score=0.790131 -   1.7s
[CV] c1=0.26595204437738074, c2=0.0027970634018912315 ................
[CV]  c1=0.26595204437738074, c2=0.0027970634018912315, score=0.723098 -   1.4s
[CV] c1=0.7546612573959834, c2=0.017586396647506358 ..................
[CV]  c1=0.7546612573959834, c2=0.017586396647506358, score=0.795633 -   1.7s
[CV] c1=0.7582399815034848, c2=0.13710437695179917 ...................
[CV]  c1=0.7582399815034848, c2=0.13710437695179917, score=0.643928 -   1.3s
[CV] c1=0.11675921553046444, c2=0.03731761498902655 ..................
[CV]  c1=0.11675921553046444, c2=0.03731761498902655, score=0.792691 -   1.7s
[CV] c1=0.5709788721295816, c2=0.0030155291636035754 .................
[CV]  c1=0.5709788721295816, c2=0.0030155291636035754, score=0.829861 -   1.8s
[CV] c1=0.04591833901901307, c2=0.04506768525582386 ..................
[CV]  c1=0.04591833901901307, c2=0.04506768525582386, score=0.809184 -   1.7s
[CV] c1=0.05379502071735913, c2=0.11696620802713154 ..................
[CV]  c1=0.05379502071735913, c2=0.11696620802713154, score=0.743926 -   1.3s
[CV] c1=0.18440354501492054, c2=0.0019781507595028275 ................
[CV]  c1=0.18440354501492054, c2=0.0019781507595028275, score=0.857866 -   1.7s
[CV] c1=0.30933244059590886, c2=0.03353862099851856 ..................
[CV]  c1=0.30933244059590886, c2=0.03353862099851856, score=0.824189 -   1.7s
[CV] c1=0.5294703777711679, c2=0.0020793700224800613 .................
[CV]  c1=0.5294703777711679, c2=0.0020793700224800613, score=0.903913 -   1.7s
[CV] c1=3.1554496463533845, c2=0.14990973546753225 ...................
[CV]  c1=3.1554496463533845, c2=0.14990973546753225, score=0.559104 -   1.8s
[CV] c1=0.4820445425811288, c2=0.10342264554931511 ...................
[CV]  c1=0.4820445425811288, c2=0.10342264554931511, score=0.846498 -   1.6s
[CV] c1=0.05398552522122705, c2=0.009066797205949195 .................
[CV]  c1=0.05398552522122705, c2=0.009066797205949195, score=0.874971 -   1.6s
[CV] c1=0.7828159911467998, c2=0.09434074180499818 ...................
[CV]  c1=0.7828159911467998, c2=0.09434074180499818, score=0.706499 -   1.7s
[CV] c1=0.9648645763980515, c2=0.006870537639775018 ..................
[CV]  c1=0.9648645763980515, c2=0.006870537639775018, score=0.768336 -   1.6s
[CV] c1=0.02670491087686572, c2=0.011626956999799206 .................
[CV]  c1=0.02670491087686572, c2=0.011626956999799206, score=0.869333 -   1.7s
[CV] c1=0.6732627790856152, c2=0.11255724099842977 ...................
[CV]  c1=0.6732627790856152, c2=0.11255724099842977, score=0.711149 -   1.7s
[CV] c1=0.04591833901901307, c2=0.04506768525582386 ..................
[CV]  c1=0.04591833901901307, c2=0.04506768525582386, score=0.866350 -   1.6s
[CV] c1=0.09503780169224162, c2=0.1661752535441613 ...................
[CV]  c1=0.09503780169224162, c2=0.1661752535441613, score=0.861010 -   1.6s
[CV] c1=1.9422638628769362, c2=0.01576760173627379 ...................
[CV]  c1=1.9422638628769362, c2=0.01576760173627379, score=0.732043 -   1.6s
[CV] c1=0.30933244059590886, c2=0.03353862099851856 ..................
[CV]  c1=0.30933244059590886, c2=0.03353862099851856, score=0.796569 -   1.9s
[CV] c1=0.8742706877853186, c2=0.02599978337319932 ...................
[CV]  c1=0.8742706877853186, c2=0.02599978337319932, score=0.872537 -   1.7s
[CV] c1=0.09509904267278875, c2=0.042082314298497986 .................
[CV]  c1=0.09509904267278875, c2=0.042082314298497986, score=0.856714 -   1.7s
[CV] c1=0.10895042392114353, c2=0.04125068760744757 ..................
[CV]  c1=0.10895042392114353, c2=0.04125068760744757, score=0.880832 -   1.7s
[CV] c1=0.11400410015698553, c2=0.007623955283300475 .................
[CV]  c1=0.11400410015698553, c2=0.007623955283300475, score=0.756233 -   1.3s
[CV] c1=0.7828159911467998, c2=0.09434074180499818 ...................
[CV]  c1=0.7828159911467998, c2=0.09434074180499818, score=0.795633 -   1.7s
[CV] c1=0.2707113918344585, c2=0.0733192071229363 ....................
[CV]  c1=0.2707113918344585, c2=0.0733192071229363, score=0.789563 -   1.8s
[CV] c1=0.02670491087686572, c2=0.011626956999799206 .................
[CV]  c1=0.02670491087686572, c2=0.011626956999799206, score=0.838393 -   1.7s
[CV] c1=0.020350436780461965, c2=0.008384378130599057 ................
[CV]  c1=0.020350436780461965, c2=0.008384378130599057, score=0.771310 -   1.3s
[CV] c1=0.04591833901901307, c2=0.04506768525582386 ..................
[CV]  c1=0.04591833901901307, c2=0.04506768525582386, score=0.877476 -   1.7s
[CV] c1=0.6738616938854385, c2=0.0025402008580908374 .................
[CV]  c1=0.6738616938854385, c2=0.0025402008580908374, score=0.801396 -   1.7s
[CV] c1=1.9422638628769362, c2=0.01576760173627379 ...................
[CV]  c1=1.9422638628769362, c2=0.01576760173627379, score=0.625314 -   1.7s
[CV] c1=0.20884704505561288, c2=0.054079773413041834 .................
[CV]  c1=0.20884704505561288, c2=0.054079773413041834, score=0.870374 -   1.6s
[CV] c1=0.2551693655980079, c2=0.06847482435323166 ...................
[CV]  c1=0.2551693655980079, c2=0.06847482435323166, score=0.886122 -   1.7s
[CV] c1=1.037440400467712, c2=0.018211084029316395 ...................
[CV]  c1=1.037440400467712, c2=0.018211084029316395, score=0.856193 -   1.7s
[CV] c1=0.01381207291627354, c2=0.015414841017673698 .................
[CV]  c1=0.01381207291627354, c2=0.015414841017673698, score=0.884930 -   1.6s
[CV] c1=0.7261206304822705, c2=0.04701768091552586 ...................
[CV]  c1=0.7261206304822705, c2=0.04701768091552586, score=0.868154 -   1.9s
[CV] c1=0.34093829211174204, c2=0.013601672882190066 .................
[CV]  c1=0.34093829211174204, c2=0.013601672882190066, score=0.736749 -   1.4s
[CV] c1=0.0011562167703359845, c2=0.11675094016752739 ................
[CV]  c1=0.0011562167703359845, c2=0.11675094016752739, score=0.782389 -   1.7s
[CV] c1=0.9306115280275421, c2=0.04780571284994699 ...................
[CV]  c1=0.9306115280275421, c2=0.04780571284994699, score=0.663666 -   1.4s
[CV] c1=0.020350436780461965, c2=0.008384378130599057 ................
[CV]  c1=0.020350436780461965, c2=0.008384378130599057, score=0.803794 -   1.7s
[CV] c1=0.4173489783204196, c2=0.03670988637987299 ...................
[CV]  c1=0.4173489783204196, c2=0.03670988637987299, score=0.832943 -   1.8s
[CV] c1=0.15994207945908331, c2=0.01583750290210183 ..................
[CV]  c1=0.15994207945908331, c2=0.01583750290210183, score=0.735194 -   1.4s
[CV] c1=1.9422638628769362, c2=0.01576760173627379 ...................
[CV]  c1=1.9422638628769362, c2=0.01576760173627379, score=0.558569 -   1.7s
[CV] c1=2.2380428455700545, c2=0.031193648696151127 ..................
[CV]  c1=2.2380428455700545, c2=0.031193648696151127, score=0.553655 -   1.4s
[CV] c1=0.8742706877853186, c2=0.02599978337319932 ...................
[CV]  c1=0.8742706877853186, c2=0.02599978337319932, score=0.671790 -   1.3s
[CV] c1=1.457695006221925, c2=0.04960486945232578 ....................
[CV]  c1=1.457695006221925, c2=0.04960486945232578, score=0.571556 -   1.3s
[CV] c1=0.9330681501478761, c2=0.13663204477083646 ...................
[CV]  c1=0.9330681501478761, c2=0.13663204477083646, score=0.861066 -   1.7s
[CV] c1=0.15522986066221245, c2=0.010699806528435217 .................
[CV]  c1=0.15522986066221245, c2=0.010699806528435217, score=0.726261 -   1.4s
[CV] c1=0.32994861282319954, c2=0.04830466627055397 ..................
[CV]  c1=0.32994861282319954, c2=0.04830466627055397, score=0.904378 -   1.8s
[CV] c1=0.34093829211174204, c2=0.013601672882190066 .................
[CV]  c1=0.34093829211174204, c2=0.013601672882190066, score=0.804627 -   1.7s
[CV] c1=0.9468442112633321, c2=0.024997711775874957 ..................
[CV]  c1=0.9468442112633321, c2=0.024997711775874957, score=0.656018 -   1.3s
[CV] c1=2.0290391753704915, c2=0.05692285401223871 ...................
[CV]  c1=2.0290391753704915, c2=0.05692285401223871, score=0.773422 -   1.6s
[CV] c1=0.21962979477733807, c2=0.00879492393865662 ..................
[CV]  c1=0.21962979477733807, c2=0.00879492393865662, score=0.795080 -   1.7s
[CV] c1=0.11281566542834184, c2=0.07232704480233695 ..................
[CV]  c1=0.11281566542834184, c2=0.07232704480233695, score=0.872492 -   1.7s
[CV] c1=0.087144390147475, c2=0.07253607384782863 ....................
[CV]  c1=0.087144390147475, c2=0.07253607384782863, score=0.715930 -   1.3s
[CV] c1=2.2880084378798613, c2=0.060491239256440434 ..................
[CV]  c1=2.2880084378798613, c2=0.060491239256440434, score=0.558672 -   1.3s
[CV] c1=0.05390226597404118, c2=0.04900659292588039 ..................
[CV]  c1=0.05390226597404118, c2=0.04900659292588039, score=0.788795 -   1.7s
[CV] c1=0.671560548661546, c2=0.009257916708548149 ...................
[CV]  c1=0.671560548661546, c2=0.009257916708548149, score=0.881927 -   1.7s
[CV] c1=0.3254307467616734, c2=0.04091905869727195 ...................
[CV]  c1=0.3254307467616734, c2=0.04091905869727195, score=0.779218 -   1.7s
[CV] c1=1.5314085927292036, c2=0.03498262297353824 ...................
[CV]  c1=1.5314085927292036, c2=0.03498262297353824, score=0.576883 -   1.8s
[CV] c1=0.7261206304822705, c2=0.04701768091552586 ...................
[CV]  c1=0.7261206304822705, c2=0.04701768091552586, score=0.803632 -   1.6s
[CV] c1=0.1328346229989593, c2=0.0019309476879112713 .................
[CV]  c1=0.1328346229989593, c2=0.0019309476879112713, score=0.802641 -   1.7s
[CV] c1=0.4487327251148934, c2=0.05595215219834222 ...................
[CV]  c1=0.4487327251148934, c2=0.05595215219834222, score=0.854046 -   1.7s
[CV] c1=2.0290391753704915, c2=0.05692285401223871 ...................
[CV]  c1=2.0290391753704915, c2=0.05692285401223871, score=0.567498 -   1.5s
[CV] c1=0.14989891150259885, c2=0.04026126734799857 ..................
[CV]  c1=0.14989891150259885, c2=0.04026126734799857, score=0.798015 -   1.7s
[CV] c1=1.0850180050196434, c2=0.01098195223124193 ...................
[CV]  c1=1.0850180050196434, c2=0.01098195223124193, score=0.701200 -   1.3s
[CV] c1=0.05379502071735913, c2=0.11696620802713154 ..................
[CV]  c1=0.05379502071735913, c2=0.11696620802713154, score=0.820007 -   1.7s
[CV] c1=0.0378419235650934, c2=0.016825491327108946 ..................
[CV]  c1=0.0378419235650934, c2=0.016825491327108946, score=0.772629 -   1.3s
[CV] c1=0.05390226597404118, c2=0.04900659292588039 ..................
[CV]  c1=0.05390226597404118, c2=0.04900659292588039, score=0.858778 -   1.6s
[CV] c1=0.15584167794751902, c2=0.018084174663274083 .................
[CV]  c1=0.15584167794751902, c2=0.018084174663274083, score=0.861556 -   1.6s
[CV] c1=0.6499085958067011, c2=0.057384376855606684 ..................
[CV]  c1=0.6499085958067011, c2=0.057384376855606684, score=0.724642 -   1.8s
[CV] c1=1.5314085927292036, c2=0.03498262297353824 ...................
[CV]  c1=1.5314085927292036, c2=0.03498262297353824, score=0.857095 -   1.7s
[CV] c1=0.26595204437738074, c2=0.0027970634018912315 ................
[CV]  c1=0.26595204437738074, c2=0.0027970634018912315, score=0.798958 -   1.8s
[CV] c1=0.0439814744138218, c2=0.04707562642453956 ...................
[CV]  c1=0.0439814744138218, c2=0.04707562642453956, score=0.855780 -   1.7s
[CV] c1=0.4487327251148934, c2=0.05595215219834222 ...................
[CV]  c1=0.4487327251148934, c2=0.05595215219834222, score=0.747581 -   1.7s
[CV] c1=0.9306115280275421, c2=0.04780571284994699 ...................
[CV]  c1=0.9306115280275421, c2=0.04780571284994699, score=0.659590 -   1.7s
[CV] c1=0.8109889803146992, c2=0.004221276030194318 ..................
[CV]  c1=0.8109889803146992, c2=0.004221276030194318, score=0.721436 -   1.3s
[CV] c1=0.6223511577811572, c2=0.07884486544000462 ...................
[CV]  c1=0.6223511577811572, c2=0.07884486544000462, score=0.707564 -   1.7s
[CV] c1=0.15994207945908331, c2=0.01583750290210183 ..................
[CV]  c1=0.15994207945908331, c2=0.01583750290210183, score=0.802641 -   1.7s
[CV] c1=0.0378419235650934, c2=0.016825491327108946 ..................
[CV]  c1=0.0378419235650934, c2=0.016825491327108946, score=0.862240 -   1.5s
[CV] c1=0.08764045084224342, c2=0.027798269924700875 .................
[CV]  c1=0.08764045084224342, c2=0.027798269924700875, score=0.792443 -   1.7s
[CV] c1=0.15584167794751902, c2=0.018084174663274083 .................
[CV]  c1=0.15584167794751902, c2=0.018084174663274083, score=0.806769 -   1.7s
[CV] c1=0.3254307467616734, c2=0.04091905869727195 ...................
[CV]  c1=0.3254307467616734, c2=0.04091905869727195, score=0.736121 -   1.4s
[CV] c1=0.249991730805719, c2=0.0018267023590074673 ..................
[CV]  c1=0.249991730805719, c2=0.0018267023590074673, score=0.858741 -   1.6s
[CV] c1=0.24697660920398787, c2=0.053827349300286875 .................
[CV]  c1=0.24697660920398787, c2=0.053827349300286875, score=0.861556 -   1.9s
[CV] c1=0.6402555339255773, c2=0.02646809125525621 ...................
[CV]  c1=0.6402555339255773, c2=0.02646809125525621, score=0.729663 -   1.7s
[CV] c1=0.7582399815034848, c2=0.13710437695179917 ...................
[CV]  c1=0.7582399815034848, c2=0.13710437695179917, score=0.693787 -   1.7s
[CV] c1=0.2274255396656579, c2=0.001622318941417065 ..................
[CV]  c1=0.2274255396656579, c2=0.001622318941417065, score=0.722117 -   1.4s
[CV] c1=0.6732627790856152, c2=0.11255724099842977 ...................
[CV]  c1=0.6732627790856152, c2=0.11255724099842977, score=0.822937 -   1.9s
[CV] c1=0.4173489783204196, c2=0.03670988637987299 ...................
[CV]  c1=0.4173489783204196, c2=0.03670988637987299, score=0.862013 -   1.6s
[CV] c1=0.05379502071735913, c2=0.11696620802713154 ..................
[CV]  c1=0.05379502071735913, c2=0.11696620802713154, score=0.858778 -   1.6s
[CV] c1=0.4591196186227464, c2=0.015823498917695137 ..................
[CV]  c1=0.4591196186227464, c2=0.015823498917695137, score=0.765730 -   1.8s
[CV] c1=0.08764045084224342, c2=0.027798269924700875 .................
[CV]  c1=0.08764045084224342, c2=0.027798269924700875, score=0.864061 -   1.7s
[CV] c1=0.15584167794751902, c2=0.018084174663274083 .................
[CV]  c1=0.15584167794751902, c2=0.018084174663274083, score=0.888466 -   1.8s
[CV] c1=0.6499085958067011, c2=0.057384376855606684 ..................
[CV]  c1=0.6499085958067011, c2=0.057384376855606684, score=0.839092 -   1.7s
[CV] c1=1.5314085927292036, c2=0.03498262297353824 ...................
[CV]  c1=1.5314085927292036, c2=0.03498262297353824, score=0.571556 -   1.3s
[CV] c1=0.24697660920398787, c2=0.053827349300286875 .................
[CV]  c1=0.24697660920398787, c2=0.053827349300286875, score=0.711347 -   1.5s
[CV] c1=0.7828159911467998, c2=0.09434074180499818 ...................
[CV]  c1=0.7828159911467998, c2=0.09434074180499818, score=0.808394 -   1.7s
[CV] c1=0.9648645763980515, c2=0.006870537639775018 ..................
[CV]  c1=0.9648645763980515, c2=0.006870537639775018, score=0.702983 -   1.9s
[CV] c1=0.02670491087686572, c2=0.011626956999799206 .................
[CV]  c1=0.02670491087686572, c2=0.011626956999799206, score=0.803428 -   1.8s
[CV] c1=0.020350436780461965, c2=0.008384378130599057 ................
[CV]  c1=0.020350436780461965, c2=0.008384378130599057, score=0.868657 -   1.7s
[CV] c1=0.4173489783204196, c2=0.03670988637987299 ...................
[CV]  c1=0.4173489783204196, c2=0.03670988637987299, score=0.907846 -   1.7s
[CV] c1=0.05379502071735913, c2=0.11696620802713154 ..................
[CV]  c1=0.05379502071735913, c2=0.11696620802713154, score=0.795837 -   1.6s
[CV] c1=0.4591196186227464, c2=0.015823498917695137 ..................
[CV]  c1=0.4591196186227464, c2=0.015823498917695137, score=0.811900 -   1.6s
[CV] c1=2.2380428455700545, c2=0.031193648696151127 ..................
[CV]  c1=2.2380428455700545, c2=0.031193648696151127, score=0.768974 -   1.7s
[CV] c1=0.671560548661546, c2=0.009257916708548149 ...................
[CV]  c1=0.671560548661546, c2=0.009257916708548149, score=0.801396 -   1.8s
[CV] c1=1.037440400467712, c2=0.018211084029316395 ...................
[CV]  c1=1.037440400467712, c2=0.018211084029316395, score=0.801379 -   1.7s
[CV] c1=0.01381207291627354, c2=0.015414841017673698 .................
[CV]  c1=0.01381207291627354, c2=0.015414841017673698, score=0.846686 -   1.6s
[CV] c1=0.7261206304822705, c2=0.04701768091552586 ...................
[CV]  c1=0.7261206304822705, c2=0.04701768091552586, score=0.718965 -   1.7s
[CV] c1=0.1328346229989593, c2=0.0019309476879112713 .................
[CV]  c1=0.1328346229989593, c2=0.0019309476879112713, score=0.869707 -   1.7s
[CV] c1=0.4487327251148934, c2=0.05595215219834222 ...................
[CV]  c1=0.4487327251148934, c2=0.05595215219834222, score=0.827852 -   1.7s
[CV] c1=0.9306115280275421, c2=0.04780571284994699 ...................
[CV]  c1=0.9306115280275421, c2=0.04780571284994699, score=0.798735 -   1.6s
[CV] c1=0.21962979477733807, c2=0.00879492393865662 ..................
[CV]  c1=0.21962979477733807, c2=0.00879492393865662, score=0.725310 -   1.4s
[CV] c1=0.6223511577811572, c2=0.07884486544000462 ...................
[CV]  c1=0.6223511577811572, c2=0.07884486544000462, score=0.874688 -   1.6s
[CV] c1=0.15994207945908331, c2=0.01583750290210183 ..................
[CV]  c1=0.15994207945908331, c2=0.01583750290210183, score=0.902448 -   1.8s
[CV] c1=0.0378419235650934, c2=0.016825491327108946 ..................
[CV]  c1=0.0378419235650934, c2=0.016825491327108946, score=0.814807 -   1.6s
[CV] c1=0.32142061710389475, c2=0.010265313511646357 .................
[CV]  c1=0.32142061710389475, c2=0.010265313511646357, score=0.717891 -   1.4s
[CV] c1=0.2522146586423292, c2=0.008335907866052098 ..................
[CV]  c1=0.2522146586423292, c2=0.008335907866052098, score=0.862671 -   1.6s
[CV] c1=1.8166605739548372, c2=0.001597654373647212 ..................
[CV]  c1=1.8166605739548372, c2=0.001597654373647212, score=0.730556 -   1.6s
[CV] c1=1.9229510493615907, c2=0.008138046746484648 ..................
[CV]  c1=1.9229510493615907, c2=0.008138046746484648, score=0.617040 -   1.8s
[CV] c1=0.1641281363815542, c2=0.01606801663093625 ...................
[CV]  c1=0.1641281363815542, c2=0.01606801663093625, score=0.855079 -   1.8s
[CV] c1=3.075890052710021, c2=0.007677825511173077 ...................
[CV]  c1=3.075890052710021, c2=0.007677825511173077, score=0.574623 -   1.8s
[CV] c1=0.4599025934551144, c2=0.023645310697866545 ..................
[CV]  c1=0.4599025934551144, c2=0.023645310697866545, score=0.821451 -   1.8s
[CV] c1=0.23340464906472164, c2=0.01673307330431866 ..................
[CV]  c1=0.23340464906472164, c2=0.01673307330431866, score=0.726485 -   1.3s
[CV] c1=0.1761119345388875, c2=0.004758963845858489 ..................
[CV]  c1=0.1761119345388875, c2=0.004758963845858489, score=0.892343 -   1.7s
[CV] c1=1.1413140446183594, c2=0.04180260072898835 ...................
[CV]  c1=1.1413140446183594, c2=0.04180260072898835, score=0.642220 -   1.3s
[CV] c1=1.0850180050196434, c2=0.01098195223124193 ...................
[CV]  c1=1.0850180050196434, c2=0.01098195223124193, score=0.791176 -   1.6s
[CV] c1=1.5655796133278996, c2=0.018521237868110753 ..................
[CV]  c1=1.5655796133278996, c2=0.018521237868110753, score=0.594536 -   1.4s
[CV] c1=0.0378419235650934, c2=0.016825491327108946 ..................
[CV]  c1=0.0378419235650934, c2=0.016825491327108946, score=0.874155 -   1.6s
[CV] c1=0.05390226597404118, c2=0.04900659292588039 ..................
[CV]  c1=0.05390226597404118, c2=0.04900659292588039, score=0.821958 -   1.7s
[CV] c1=0.671560548661546, c2=0.009257916708548149 ...................
[CV]  c1=0.671560548661546, c2=0.009257916708548149, score=0.751337 -   1.8s
[CV] c1=1.037440400467712, c2=0.018211084029316395 ...................
[CV]  c1=1.037440400467712, c2=0.018211084029316395, score=0.662146 -   1.4s
[CV] c1=0.10895042392114353, c2=0.04125068760744757 ..................
[CV]  c1=0.10895042392114353, c2=0.04125068760744757, score=0.863073 -   1.9s
[CV] c1=0.26595204437738074, c2=0.0027970634018912315 ................
[CV]  c1=0.26595204437738074, c2=0.0027970634018912315, score=0.862013 -   1.8s
[CV] c1=0.1328346229989593, c2=0.0019309476879112713 .................
[CV]  c1=0.1328346229989593, c2=0.0019309476879112713, score=0.747707 -   1.3s
[CV] c1=0.7582399815034848, c2=0.13710437695179917 ...................
[CV]  c1=0.7582399815034848, c2=0.13710437695179917, score=0.706898 -   1.7s
[CV] c1=0.2274255396656579, c2=0.001622318941417065 ..................
[CV]  c1=0.2274255396656579, c2=0.001622318941417065, score=0.903042 -   1.7s
[CV] c1=0.020350436780461965, c2=0.008384378130599057 ................
[CV]  c1=0.020350436780461965, c2=0.008384378130599057, score=0.816813 -   1.8s
[CV] c1=0.6223511577811572, c2=0.07884486544000462 ...................
[CV]  c1=0.6223511577811572, c2=0.07884486544000462, score=0.795139 -   1.6s
[CV] c1=0.15994207945908331, c2=0.01583750290210183 ..................
[CV]  c1=0.15994207945908331, c2=0.01583750290210183, score=0.865850 -   1.6s
[CV] c1=0.0378419235650934, c2=0.016825491327108946 ..................
[CV]  c1=0.0378419235650934, c2=0.016825491327108946, score=0.794121 -   1.7s
[CV] c1=0.20884704505561288, c2=0.054079773413041834 .................
[CV]  c1=0.20884704505561288, c2=0.054079773413041834, score=0.791397 -   1.6s
[CV] c1=0.2551693655980079, c2=0.06847482435323166 ...................
[CV]  c1=0.2551693655980079, c2=0.06847482435323166, score=0.787173 -   1.7s
[CV] c1=1.037440400467712, c2=0.018211084029316395 ...................
[CV]  c1=1.037440400467712, c2=0.018211084029316395, score=0.704708 -   1.7s
[CV] c1=0.1641281363815542, c2=0.01606801663093625 ...................
[CV]  c1=0.1641281363815542, c2=0.01606801663093625, score=0.723770 -   1.4s
[CV] c1=0.26595204437738074, c2=0.0027970634018912315 ................
[CV]  c1=0.26595204437738074, c2=0.0027970634018912315, score=0.849369 -   1.8s
[CV] c1=0.1328346229989593, c2=0.0019309476879112713 .................
[CV]  c1=0.1328346229989593, c2=0.0019309476879112713, score=0.884840 -   1.7s
[CV] c1=0.4487327251148934, c2=0.05595215219834222 ...................
[CV]  c1=0.4487327251148934, c2=0.05595215219834222, score=0.894129 -   1.7s
[CV] c1=0.9306115280275421, c2=0.04780571284994699 ...................
[CV]  c1=0.9306115280275421, c2=0.04780571284994699, score=0.677124 -   1.7s
[CV] c1=0.21962979477733807, c2=0.00879492393865662 ..................
[CV]  c1=0.21962979477733807, c2=0.00879492393865662, score=0.854282 -   1.7s
[CV] c1=0.11281566542834184, c2=0.07232704480233695 ..................
[CV]  c1=0.11281566542834184, c2=0.07232704480233695, score=0.714488 -   1.4s
[CV] c1=0.15994207945908331, c2=0.01583750290210183 ..................
[CV]  c1=0.15994207945908331, c2=0.01583750290210183, score=0.819680 -   1.7s
[CV] c1=2.2880084378798613, c2=0.060491239256440434 ..................
[CV]  c1=2.2880084378798613, c2=0.060491239256440434, score=0.768974 -   1.6s
[CV] c1=0.46875802594899857, c2=0.15579761180796037 ..................
[CV]  c1=0.46875802594899857, c2=0.15579761180796037, score=0.695791 -   1.3s
[CV] c1=0.2522146586423292, c2=0.008335907866052098 ..................
[CV]  c1=0.2522146586423292, c2=0.008335907866052098, score=0.917984 -   2.0s
[CV] c1=1.8166605739548372, c2=0.001597654373647212 ..................
[CV]  c1=1.8166605739548372, c2=0.001597654373647212, score=0.561099 -   1.8s
[CV] c1=0.9330681501478761, c2=0.13663204477083646 ...................
[CV]  c1=0.9330681501478761, c2=0.13663204477083646, score=0.804586 -   1.7s
[CV] c1=0.15522986066221245, c2=0.010699806528435217 .................
[CV]  c1=0.15522986066221245, c2=0.010699806528435217, score=0.858778 -   1.6s
[CV] c1=3.075890052710021, c2=0.007677825511173077 ...................
[CV]  c1=3.075890052710021, c2=0.007677825511173077, score=0.500883 -   1.8s
[CV] c1=0.5576741591401572, c2=0.007433932145659872 ..................
[CV]  c1=0.5576741591401572, c2=0.007433932145659872, score=0.751969 -   1.8s
[CV] c1=0.23340464906472164, c2=0.01673307330431866 ..................
[CV]  c1=0.23340464906472164, c2=0.01673307330431866, score=0.867011 -   1.7s
[CV] c1=0.3355441353710915, c2=0.05595196370663701 ...................
[CV]  c1=0.3355441353710915, c2=0.05595196370663701, score=0.829349 -   1.8s
[CV] c1=0.5338177522516205, c2=0.002937330454509758 ..................
[CV]  c1=0.5338177522516205, c2=0.002937330454509758, score=0.764992 -   1.9s
[CV] c1=0.09503780169224162, c2=0.1661752535441613 ...................
[CV]  c1=0.09503780169224162, c2=0.1661752535441613, score=0.792154 -   1.8s
[CV] c1=0.4591196186227464, c2=0.015823498917695137 ..................
[CV]  c1=0.4591196186227464, c2=0.015823498917695137, score=0.901582 -   1.7s
[CV] c1=0.05390226597404118, c2=0.04900659292588039 ..................
[CV]  c1=0.05390226597404118, c2=0.04900659292588039, score=0.887512 -   1.7s
[CV] c1=0.15584167794751902, c2=0.018084174663274083 .................
[CV]  c1=0.15584167794751902, c2=0.018084174663274083, score=0.800837 -   1.7s
[CV] c1=0.3254307467616734, c2=0.04091905869727195 ...................
[CV]  c1=0.3254307467616734, c2=0.04091905869727195, score=0.901858 -   1.8s
[CV] c1=1.5314085927292036, c2=0.03498262297353824 ...................
[CV]  c1=1.5314085927292036, c2=0.03498262297353824, score=0.731224 -   1.6s
[CV] c1=0.26595204437738074, c2=0.0027970634018912315 ................
[CV]  c1=0.26595204437738074, c2=0.0027970634018912315, score=0.885482 -   1.7s
[CV] c1=0.0439814744138218, c2=0.04707562642453956 ...................
[CV]  c1=0.0439814744138218, c2=0.04707562642453956, score=0.721983 -   1.3s
[CV] c1=0.2707113918344585, c2=0.0733192071229363 ....................
[CV]  c1=0.2707113918344585, c2=0.0733192071229363, score=0.848902 -   1.8s
[CV] c1=0.46305194470597655, c2=0.03809613993694136 ..................
[CV]  c1=0.46305194470597655, c2=0.03809613993694136, score=0.757457 -   1.9s
[CV] c1=0.14989891150259885, c2=0.04026126734799857 ..................
[CV]  c1=0.14989891150259885, c2=0.04026126734799857, score=0.897838 -   1.6s
[CV] c1=0.6223511577811572, c2=0.07884486544000462 ...................
[CV]  c1=0.6223511577811572, c2=0.07884486544000462, score=0.719530 -   1.4s
[CV] c1=0.09503780169224162, c2=0.1661752535441613 ...................
[CV]  c1=0.09503780169224162, c2=0.1661752535441613, score=0.785726 -   1.8s
[CV] c1=0.4591196186227464, c2=0.015823498917695137 ..................
[CV]  c1=0.4591196186227464, c2=0.015823498917695137, score=0.851386 -   1.6s
[CV] c1=0.46875802594899857, c2=0.15579761180796037 ..................
[CV]  c1=0.46875802594899857, c2=0.15579761180796037, score=0.712953 -   1.8s
[CV] c1=0.5024946668118309, c2=0.10622392182523616 ...................
[CV]  c1=0.5024946668118309, c2=0.10622392182523616, score=0.888235 -   1.8s
[CV] c1=3.1554496463533845, c2=0.14990973546753225 ...................
[CV]  c1=3.1554496463533845, c2=0.14990973546753225, score=0.652746 -   1.9s
[CV] c1=0.4820445425811288, c2=0.10342264554931511 ...................
[CV]  c1=0.4820445425811288, c2=0.10342264554931511, score=0.812440 -   1.8s
[CV] c1=0.24697660920398787, c2=0.053827349300286875 .................
[CV]  c1=0.24697660920398787, c2=0.053827349300286875, score=0.843587 -   1.8s
[CV] c1=0.6402555339255773, c2=0.02646809125525621 ...................
[CV]  c1=0.6402555339255773, c2=0.02646809125525621, score=0.803586 -   1.7s
[CV] c1=0.0011562167703359845, c2=0.11675094016752739 ................
[CV]  c1=0.0011562167703359845, c2=0.11675094016752739, score=0.825058 -   1.7s
[CV] c1=0.2274255396656579, c2=0.001622318941417065 ..................
[CV]  c1=0.2274255396656579, c2=0.001622318941417065, score=0.864272 -   1.7s
[CV] c1=0.14989891150259885, c2=0.04026126734799857 ..................
[CV]  c1=0.14989891150259885, c2=0.04026126734799857, score=0.864206 -   1.6s
[CV] c1=0.6223511577811572, c2=0.07884486544000462 ...................
[CV]  c1=0.6223511577811572, c2=0.07884486544000462, score=0.841976 -   1.7s
[CV] c1=1.5655796133278996, c2=0.018521237868110753 ..................
[CV]  c1=1.5655796133278996, c2=0.018521237868110753, score=0.634684 -   1.8s
[CV] c1=0.4964320173709144, c2=0.02969280201374119 ...................
[CV]  c1=0.4964320173709144, c2=0.02969280201374119, score=0.731370 -   1.4s
[CV] c1=0.17834555233152488, c2=0.10996144156609017 ..................
[CV]  c1=0.17834555233152488, c2=0.10996144156609017, score=0.787173 -   1.7s
[CV] c1=0.5294703777711679, c2=0.0020793700224800613 .................
[CV]  c1=0.5294703777711679, c2=0.0020793700224800613, score=0.856256 -   1.6s
[CV] c1=0.09509904267278875, c2=0.042082314298497986 .................
[CV]  c1=0.09509904267278875, c2=0.042082314298497986, score=0.880346 -   1.7s
[CV] c1=0.249991730805719, c2=0.0018267023590074673 ..................
[CV]  c1=0.249991730805719, c2=0.0018267023590074673, score=0.704153 -   1.3s
[CV] c1=0.28430548797902866, c2=0.010829150290209505 .................
[CV]  c1=0.28430548797902866, c2=0.010829150290209505, score=0.835734 -   1.7s
[CV] c1=0.7828159911467998, c2=0.09434074180499818 ...................
[CV]  c1=0.7828159911467998, c2=0.09434074180499818, score=0.875320 -   1.7s
[CV] c1=0.5576741591401572, c2=0.007433932145659872 ..................
[CV]  c1=0.5576741591401572, c2=0.007433932145659872, score=0.807025 -   1.8s
[CV] c1=0.11675921553046444, c2=0.03731761498902655 ..................
[CV]  c1=0.11675921553046444, c2=0.03731761498902655, score=0.812946 -   1.9s
[CV] c1=0.6732627790856152, c2=0.11255724099842977 ...................
[CV]  c1=0.6732627790856152, c2=0.11255724099842977, score=0.804330 -   1.8s
[CV] c1=0.4173489783204196, c2=0.03670988637987299 ...................
[CV]  c1=0.4173489783204196, c2=0.03670988637987299, score=0.767652 -   2.0s
[CV] c1=1.5655796133278996, c2=0.018521237868110753 ..................
[CV]  c1=1.5655796133278996, c2=0.018521237868110753, score=0.865187 -   1.6s
[CV] c1=2.2880084378798613, c2=0.060491239256440434 ..................
[CV]  c1=2.2880084378798613, c2=0.060491239256440434, score=0.608289 -   1.6s
[CV] c1=0.05390226597404118, c2=0.04900659292588039 ..................
[CV]  c1=0.05390226597404118, c2=0.04900659292588039, score=0.716689 -   1.4s
[CV] c1=0.5294703777711679, c2=0.0020793700224800613 .................
[CV]  c1=0.5294703777711679, c2=0.0020793700224800613, score=0.728396 -   1.4s
[CV] c1=0.21288708960884783, c2=0.04101230733533645 ..................
[CV]  c1=0.21288708960884783, c2=0.04101230733533645, score=0.832087 -   1.7s
[CV] c1=0.595921369031809, c2=0.050955503648717274 ...................
[CV]  c1=0.595921369031809, c2=0.050955503648717274, score=0.722242 -   1.7s
[CV] c1=0.28430548797902866, c2=0.010829150290209505 .................
[CV]  c1=0.28430548797902866, c2=0.010829150290209505, score=0.861556 -   1.7s
[CV] c1=0.9088529820027, c2=0.03142289251746005 ......................
[CV]  c1=0.9088529820027, c2=0.03142289251746005, score=0.709825 -   1.9s
[CV] c1=0.9648645763980515, c2=0.006870537639775018 ..................
[CV]  c1=0.9648645763980515, c2=0.006870537639775018, score=0.782978 -   1.6s
[CV] c1=0.11675921553046444, c2=0.03731761498902655 ..................
[CV]  c1=0.11675921553046444, c2=0.03731761498902655, score=0.744909 -   1.3s
[CV] c1=0.3355441353710915, c2=0.05595196370663701 ...................
[CV]  c1=0.3355441353710915, c2=0.05595196370663701, score=0.891799 -   1.8s
[CV] c1=0.04238120698597941, c2=0.06443030492016649 ..................
[CV]  c1=0.04238120698597941, c2=0.06443030492016649, score=0.731045 -   1.4s
[CV] c1=0.08751858459388541, c2=0.007966991599565517 .................
[CV]  c1=0.08751858459388541, c2=0.007966991599565517, score=0.777305 -   1.4s
[CV] c1=1.5655796133278996, c2=0.018521237868110753 ..................
[CV]  c1=1.5655796133278996, c2=0.018521237868110753, score=0.565973 -   1.7s
[CV] c1=0.4964320173709144, c2=0.02969280201374119 ...................
[CV]  c1=0.4964320173709144, c2=0.02969280201374119, score=0.903913 -   1.4s
[CV] c1=2.2380428455700545, c2=0.031193648696151127 ..................
[CV]  c1=2.2380428455700545, c2=0.031193648696151127, score=0.611972 -   1.7s
[CV] c1=0.671560548661546, c2=0.009257916708548149 ...................
[CV]  c1=0.671560548661546, c2=0.009257916708548149, score=0.813380 -   1.7s
[CV] c1=0.3254307467616734, c2=0.04091905869727195 ...................
[CV]  c1=0.3254307467616734, c2=0.04091905869727195, score=0.854934 -   1.6s
[CV] c1=1.5314085927292036, c2=0.03498262297353824 ...................
[CV]  c1=1.5314085927292036, c2=0.03498262297353824, score=0.649702 -   1.7s
[CV] c1=0.7261206304822705, c2=0.04701768091552586 ...................
[CV]  c1=0.7261206304822705, c2=0.04701768091552586, score=0.725123 -   1.5s
[CV] c1=0.0439814744138218, c2=0.04707562642453956 ...................
[CV]  c1=0.0439814744138218, c2=0.04707562642453956, score=0.809184 -   1.8s
[CV] c1=0.4487327251148934, c2=0.05595215219834222 ...................
[CV]  c1=0.4487327251148934, c2=0.05595215219834222, score=0.736031 -   1.4s
[CV] c1=0.46305194470597655, c2=0.03809613993694136 ..................
[CV]  c1=0.46305194470597655, c2=0.03809613993694136, score=0.816074 -   1.9s
[CV] c1=0.21962979477733807, c2=0.00879492393865662 ..................
[CV]  c1=0.21962979477733807, c2=0.00879492393865662, score=0.901538 -   1.7s
[CV] c1=1.0850180050196434, c2=0.01098195223124193 ...................
[CV]  c1=1.0850180050196434, c2=0.01098195223124193, score=0.657981 -   1.7s
[CV] c1=1.5655796133278996, c2=0.018521237868110753 ..................
[CV]  c1=1.5655796133278996, c2=0.018521237868110753, score=0.723645 -   1.7s
[CV] c1=2.2880084378798613, c2=0.060491239256440434 ..................
[CV]  c1=2.2880084378798613, c2=0.060491239256440434, score=0.721175 -   1.5s
[CV] c1=2.2380428455700545, c2=0.031193648696151127 ..................
[CV]  c1=2.2380428455700545, c2=0.031193648696151127, score=0.555260 -   1.7s
[CV] c1=0.2551693655980079, c2=0.06847482435323166 ...................
[CV]  c1=0.2551693655980079, c2=0.06847482435323166, score=0.727953 -   1.4s
[CV] c1=0.6499085958067011, c2=0.057384376855606684 ..................
[CV]  c1=0.6499085958067011, c2=0.057384376855606684, score=0.716253 -   1.3s
[CV] c1=0.4820445425811288, c2=0.10342264554931511 ...................
[CV]  c1=0.4820445425811288, c2=0.10342264554931511, score=0.722158 -   1.7s
[CV] c1=0.05398552522122705, c2=0.009066797205949195 .................
[CV]  c1=0.05398552522122705, c2=0.009066797205949195, score=0.839308 -   1.7s
[CV] c1=0.7546612573959834, c2=0.017586396647506358 ..................
[CV]  c1=0.7546612573959834, c2=0.017586396647506358, score=0.717484 -   1.5s
[CV] c1=0.9648645763980515, c2=0.006870537639775018 ..................
[CV]  c1=0.9648645763980515, c2=0.006870537639775018, score=0.669839 -   1.4s
[CV] c1=0.23340464906472164, c2=0.01673307330431866 ..................
[CV]  c1=0.23340464906472164, c2=0.01673307330431866, score=0.895726 -   1.6s
[CV] c1=0.3355441353710915, c2=0.05595196370663701 ...................
[CV]  c1=0.3355441353710915, c2=0.05595196370663701, score=0.720613 -   1.4s
[CV] c1=1.1413140446183594, c2=0.04180260072898835 ...................
[CV]  c1=1.1413140446183594, c2=0.04180260072898835, score=0.868316 -   1.7s
[CV] c1=0.08751858459388541, c2=0.007966991599565517 .................
[CV]  c1=0.08751858459388541, c2=0.007966991599565517, score=0.887732 -   1.6s
[CV] c1=0.087144390147475, c2=0.07253607384782863 ....................
[CV]  c1=0.087144390147475, c2=0.07253607384782863, score=0.853487 -   1.6s
[CV] c1=0.4964320173709144, c2=0.02969280201374119 ...................
[CV]  c1=0.4964320173709144, c2=0.02969280201374119, score=0.751337 -   1.5s
[CV] c1=0.20884704505561288, c2=0.054079773413041834 .................
[CV]  c1=0.20884704505561288, c2=0.054079773413041834, score=0.819798 -   1.6s
[CV] c1=0.2551693655980079, c2=0.06847482435323166 ...................
[CV]  c1=0.2551693655980079, c2=0.06847482435323166, score=0.814257 -   1.8s
[CV] c1=1.9229510493615907, c2=0.008138046746484648 ..................
[CV]  c1=1.9229510493615907, c2=0.008138046746484648, score=0.814240 -   1.6s
[CV] c1=0.1641281363815542, c2=0.01606801663093625 ...................
[CV]  c1=0.1641281363815542, c2=0.01606801663093625, score=0.874329 -   1.7s
[CV] c1=0.7261206304822705, c2=0.04701768091552586 ...................
[CV]  c1=0.7261206304822705, c2=0.04701768091552586, score=0.833464 -   1.8s
[CV] c1=0.34093829211174204, c2=0.013601672882190066 .................
[CV]  c1=0.34093829211174204, c2=0.013601672882190066, score=0.790908 -   1.8s
[CV] c1=0.9468442112633321, c2=0.024997711775874957 ..................
[CV]  c1=0.9468442112633321, c2=0.024997711775874957, score=0.863471 -   1.6s
[CV] c1=2.0290391753704915, c2=0.05692285401223871 ...................
[CV]  c1=2.0290391753704915, c2=0.05692285401223871, score=0.556796 -   1.8s
[CV] c1=1.1413140446183594, c2=0.04180260072898835 ...................
[CV]  c1=1.1413140446183594, c2=0.04180260072898835, score=0.628596 -   1.8s
[CV] c1=0.08751858459388541, c2=0.007966991599565517 .................
[CV]  c1=0.08751858459388541, c2=0.007966991599565517, score=0.884776 -   1.7s
[CV] c1=0.39666653614934216, c2=0.05423679423226459 ..................
[CV]  c1=0.39666653614934216, c2=0.05423679423226459, score=0.733607 -   1.3s
[CV] c1=0.4964320173709144, c2=0.02969280201374119 ...................
[CV]  c1=0.4964320173709144, c2=0.02969280201374119, score=0.835640 -   1.4s
[CV] c1=0.32142061710389475, c2=0.010265313511646357 .................
[CV]  c1=0.32142061710389475, c2=0.010265313511646357, score=0.862013 -   1.6s
[CV] c1=0.4261213881855864, c2=0.004373551500358649 ..................
[CV]  c1=0.4261213881855864, c2=0.004373551500358649, score=0.718345 -   1.3s
[CV] c1=1.8166605739548372, c2=0.001597654373647212 ..................
[CV]  c1=1.8166605739548372, c2=0.001597654373647212, score=0.617040 -   1.7s
[CV] c1=1.9229510493615907, c2=0.008138046746484648 ..................
[CV]  c1=1.9229510493615907, c2=0.008138046746484648, score=0.714253 -   1.6s
[CV] c1=0.1641281363815542, c2=0.01606801663093625 ...................
[CV]  c1=0.1641281363815542, c2=0.01606801663093625, score=0.861556 -   1.7s
[CV] c1=0.32994861282319954, c2=0.04830466627055397 ..................
[CV]  c1=0.32994861282319954, c2=0.04830466627055397, score=0.823012 -   1.8s
[CV] c1=0.4599025934551144, c2=0.023645310697866545 ..................
[CV]  c1=0.4599025934551144, c2=0.023645310697866545, score=0.902838 -   1.7s
[CV] c1=0.6245021514677161, c2=0.07809680975727118 ...................
[CV]  c1=0.6245021514677161, c2=0.07809680975727118, score=0.809908 -   1.7s
[CV] c1=0.1761119345388875, c2=0.004758963845858489 ..................
[CV]  c1=0.1761119345388875, c2=0.004758963845858489, score=0.802641 -   1.7s
[CV] c1=1.1413140446183594, c2=0.04180260072898835 ...................
[CV]  c1=1.1413140446183594, c2=0.04180260072898835, score=0.640292 -   1.7s
[CV] c1=0.2015870281874677, c2=0.0012205400954075323 .................
[CV]  c1=0.2015870281874677, c2=0.0012205400954075323, score=0.718112 -   1.4s
[CV] c1=0.5846694287913522, c2=0.04332444265338663 ...................
[CV]  c1=0.5846694287913522, c2=0.04332444265338663, score=0.892220 -   1.7s
[CV] c1=0.28529223162334755, c2=0.06969572460806829 ..................
[CV]  c1=0.28529223162334755, c2=0.06969572460806829, score=0.707094 -   1.3s
[CV] c1=0.46875802594899857, c2=0.15579761180796037 ..................
[CV]  c1=0.46875802594899857, c2=0.15579761180796037, score=0.885950 -   1.3s
[CV] c1=0.2522146586423292, c2=0.008335907866052098 ..................
[CV]  c1=0.2522146586423292, c2=0.008335907866052098, score=0.730434 -   1.4s
[CV] c1=1.8166605739548372, c2=0.001597654373647212 ..................
[CV]  c1=1.8166605739548372, c2=0.001597654373647212, score=0.815393 -   1.8s
[CV] c1=1.9229510493615907, c2=0.008138046746484648 ..................
[CV]  c1=1.9229510493615907, c2=0.008138046746484648, score=0.564580 -   1.5s
[CV] c1=0.01381207291627354, c2=0.015414841017673698 .................
[CV]  c1=0.01381207291627354, c2=0.015414841017673698, score=0.800749 -   1.8s
[CV] c1=0.32994861282319954, c2=0.04830466627055397 ..................
[CV]  c1=0.32994861282319954, c2=0.04830466627055397, score=0.736811 -   1.4s
[CV] c1=0.0439814744138218, c2=0.04707562642453956 ...................
[CV]  c1=0.0439814744138218, c2=0.04707562642453956, score=0.864061 -   1.6s
[CV] c1=0.0011562167703359845, c2=0.11675094016752739 ................
[CV]  c1=0.0011562167703359845, c2=0.11675094016752739, score=0.860031 -   1.7s
[CV] c1=0.2274255396656579, c2=0.001622318941417065 ..................
[CV]  c1=0.2274255396656579, c2=0.001622318941417065, score=0.821378 -   1.9s
[CV] c1=0.8109889803146992, c2=0.004221276030194318 ..................
[CV]  c1=0.8109889803146992, c2=0.004221276030194318, score=0.865543 -   1.7s
[CV] c1=0.11281566542834184, c2=0.07232704480233695 ..................
[CV]  c1=0.11281566542834184, c2=0.07232704480233695, score=0.793824 -   1.8s
[CV] c1=0.5846694287913522, c2=0.04332444265338663 ...................
[CV]  c1=0.5846694287913522, c2=0.04332444265338663, score=0.685097 -   1.6s
[CV] c1=0.28529223162334755, c2=0.06969572460806829 ..................
[CV]  c1=0.28529223162334755, c2=0.06969572460806829, score=0.882148 -   1.4s
[CV] c1=0.20884704505561288, c2=0.054079773413041834 .................
[CV]  c1=0.20884704505561288, c2=0.054079773413041834, score=0.723399 -   1.4s
[CV] c1=0.15584167794751902, c2=0.018084174663274083 .................
[CV]  c1=0.15584167794751902, c2=0.018084174663274083, score=0.723213 -   1.3s
[CV] c1=3.1554496463533845, c2=0.14990973546753225 ...................
[CV]  c1=3.1554496463533845, c2=0.14990973546753225, score=0.447496 -   1.3s
[CV] c1=0.9330681501478761, c2=0.13663204477083646 ...................
[CV]  c1=0.9330681501478761, c2=0.13663204477083646, score=0.638208 -   1.3s
[CV] c1=0.1641281363815542, c2=0.01606801663093625 ...................
[CV]  c1=0.1641281363815542, c2=0.01606801663093625, score=0.805232 -   1.7s
[CV] c1=0.32994861282319954, c2=0.04830466627055397 ..................
[CV]  c1=0.32994861282319954, c2=0.04830466627055397, score=0.747581 -   1.7s
[CV] c1=0.34093829211174204, c2=0.013601672882190066 .................
[CV]  c1=0.34093829211174204, c2=0.013601672882190066, score=0.862013 -   1.6s
[CV] c1=0.6245021514677161, c2=0.07809680975727118 ...................
[CV]  c1=0.6245021514677161, c2=0.07809680975727118, score=0.886417 -   1.8s
[CV] c1=2.0290391753704915, c2=0.05692285401223871 ...................
[CV]  c1=2.0290391753704915, c2=0.05692285401223871, score=0.625314 -   1.7s
[CV] c1=0.8109889803146992, c2=0.004221276030194318 ..................
[CV]  c1=0.8109889803146992, c2=0.004221276030194318, score=0.798484 -   1.7s
[CV] c1=0.08751858459388541, c2=0.007966991599565517 .................
[CV]  c1=0.08751858459388541, c2=0.007966991599565517, score=0.802843 -   1.8s
[CV] c1=0.5846694287913522, c2=0.04332444265338663 ...................
[CV]  c1=0.5846694287913522, c2=0.04332444265338663, score=0.809908 -   1.7s
[CV] c1=3.7628467277799063, c2=0.08849038056698239 ...................
[CV]  c1=3.7628467277799063, c2=0.08849038056698239, score=0.631691 -   1.2s
[CV] c1=0.32142061710389475, c2=0.010265313511646357 .................
[CV]  c1=0.32142061710389475, c2=0.010265313511646357, score=0.783041 -   1.7s
[CV] c1=0.5024946668118309, c2=0.10622392182523616 ...................
[CV]  c1=0.5024946668118309, c2=0.10622392182523616, score=0.735692 -   1.7s
[CV] c1=1.457695006221925, c2=0.04960486945232578 ....................
[CV]  c1=1.457695006221925, c2=0.04960486945232578, score=0.570532 -   1.8s
[CV] c1=0.4820445425811288, c2=0.10342264554931511 ...................
[CV]  c1=0.4820445425811288, c2=0.10342264554931511, score=0.694837 -   1.4s
[CV] c1=0.28430548797902866, c2=0.010829150290209505 .................
[CV]  c1=0.28430548797902866, c2=0.010829150290209505, score=0.718265 -   1.4s
[CV] c1=3.075890052710021, c2=0.007677825511173077 ...................
[CV]  c1=3.075890052710021, c2=0.007677825511173077, score=0.486780 -   1.4s
[CV] c1=0.1328346229989593, c2=0.0019309476879112713 .................
[CV]  c1=0.1328346229989593, c2=0.0019309476879112713, score=0.816096 -   1.8s
[CV] c1=0.6245021514677161, c2=0.07809680975727118 ...................
[CV]  c1=0.6245021514677161, c2=0.07809680975727118, score=0.826691 -   1.7s
[CV] c1=2.0290391753704915, c2=0.05692285401223871 ...................
[CV]  c1=2.0290391753704915, c2=0.05692285401223871, score=0.701127 -   1.6s
[CV] c1=0.8109889803146992, c2=0.004221276030194318 ..................
[CV]  c1=0.8109889803146992, c2=0.004221276030194318, score=0.800479 -   1.7s
[CV] c1=0.11281566542834184, c2=0.07232704480233695 ..................
[CV]  c1=0.11281566542834184, c2=0.07232704480233695, score=0.863073 -   1.7s
[CV] c1=0.087144390147475, c2=0.07253607384782863 ....................
[CV]  c1=0.087144390147475, c2=0.07253607384782863, score=0.793824 -   1.7s
[CV] c1=0.4964320173709144, c2=0.02969280201374119 ...................
[CV]  c1=0.4964320173709144, c2=0.02969280201374119, score=0.829861 -   1.5s
[CV] c1=0.32142061710389475, c2=0.010265313511646357 .................
[CV]  c1=0.32142061710389475, c2=0.010265313511646357, score=0.911263 -   1.7s
[CV] c1=0.4261213881855864, c2=0.004373551500358649 ..................
[CV]  c1=0.4261213881855864, c2=0.004373551500358649, score=0.776592 -   1.8s
[CV] c1=1.457695006221925, c2=0.04960486945232578 ....................
[CV]  c1=1.457695006221925, c2=0.04960486945232578, score=0.723645 -   1.7s
[CV] c1=0.4820445425811288, c2=0.10342264554931511 ...................
[CV]  c1=0.4820445425811288, c2=0.10342264554931511, score=0.901023 -   1.8s
[CV] c1=0.24697660920398787, c2=0.053827349300286875 .................
[CV]  c1=0.24697660920398787, c2=0.053827349300286875, score=0.881625 -   1.7s
[CV] c1=0.7546612573959834, c2=0.017586396647506358 ..................
[CV]  c1=0.7546612573959834, c2=0.017586396647506358, score=0.704427 -   1.7s
[CV] c1=0.7582399815034848, c2=0.13710437695179917 ...................
[CV]  c1=0.7582399815034848, c2=0.13710437695179917, score=0.859479 -   1.7s
[CV] c1=0.46305194470597655, c2=0.03809613993694136 ..................
[CV]  c1=0.46305194470597655, c2=0.03809613993694136, score=0.895039 -   2.0s
[CV] c1=0.14989891150259885, c2=0.04026126734799857 ..................
[CV]  c1=0.14989891150259885, c2=0.04026126734799857, score=0.790857 -   1.6s
[CV] c1=1.0850180050196434, c2=0.01098195223124193 ...................
[CV]  c1=1.0850180050196434, c2=0.01098195223124193, score=0.851463 -   1.8s
[CV] c1=0.087144390147475, c2=0.07253607384782863 ....................
[CV]  c1=0.087144390147475, c2=0.07253607384782863, score=0.887469 -   1.6s
[CV] c1=2.2880084378798613, c2=0.060491239256440434 ..................
[CV]  c1=2.2880084378798613, c2=0.060491239256440434, score=0.562783 -   1.8s
[CV] c1=0.17834555233152488, c2=0.10996144156609017 ..................
[CV]  c1=0.17834555233152488, c2=0.10996144156609017, score=0.719793 -   1.4s
[CV] c1=0.4261213881855864, c2=0.004373551500358649 ..................
[CV]  c1=0.4261213881855864, c2=0.004373551500358649, score=0.805457 -   1.6s
[CV] c1=0.21288708960884783, c2=0.04101230733533645 ..................
[CV]  c1=0.21288708960884783, c2=0.04101230733533645, score=0.867011 -   1.6s
[CV] c1=0.9330681501478761, c2=0.13663204477083646 ...................
[CV]  c1=0.9330681501478761, c2=0.13663204477083646, score=0.652067 -   1.7s
[CV] c1=0.28430548797902866, c2=0.010829150290209505 .................
[CV]  c1=0.28430548797902866, c2=0.010829150290209505, score=0.909444 -   1.8s
[CV] c1=0.9088529820027, c2=0.03142289251746005 ......................
[CV]  c1=0.9088529820027, c2=0.03142289251746005, score=0.791176 -   1.6s
[CV] c1=0.5576741591401572, c2=0.007433932145659872 ..................
[CV]  c1=0.5576741591401572, c2=0.007433932145659872, score=0.826328 -   1.7s
[CV] c1=0.23340464906472164, c2=0.01673307330431866 ..................
[CV]  c1=0.23340464906472164, c2=0.01673307330431866, score=0.798448 -   1.7s
[CV] c1=0.3355441353710915, c2=0.05595196370663701 ...................
[CV]  c1=0.3355441353710915, c2=0.05595196370663701, score=0.868501 -   1.6s
[CV] c1=0.04238120698597941, c2=0.06443030492016649 ..................
[CV]  c1=0.04238120698597941, c2=0.06443030492016649, score=0.801090 -   1.7s
[CV] c1=0.2015870281874677, c2=0.0012205400954075323 .................
[CV]  c1=0.2015870281874677, c2=0.0012205400954075323, score=0.861556 -   1.6s
[CV] c1=0.39666653614934216, c2=0.05423679423226459 ..................
[CV]  c1=0.39666653614934216, c2=0.05423679423226459, score=0.805908 -   1.8s
[CV] c1=0.10601460463699383, c2=0.05027847148724898 ..................
[CV]  c1=0.10601460463699383, c2=0.05027847148724898, score=0.740134 -   1.0s
[CV] c1=0.20884704505561288, c2=0.054079773413041834 .................
[CV]  c1=0.20884704505561288, c2=0.054079773413041834, score=0.867011 -   1.6s
[CV] c1=0.2551693655980079, c2=0.06847482435323166 ...................
[CV]  c1=0.2551693655980079, c2=0.06847482435323166, score=0.867011 -   1.6s
[CV] c1=1.037440400467712, c2=0.018211084029316395 ...................
[CV]  c1=1.037440400467712, c2=0.018211084029316395, score=0.676197 -   1.6s
[CV] c1=0.01381207291627354, c2=0.015414841017673698 .................
[CV]  c1=0.01381207291627354, c2=0.015414841017673698, score=0.746634 -   1.3s
[CV] c1=0.11400410015698553, c2=0.007623955283300475 .................
[CV]  c1=0.11400410015698553, c2=0.007623955283300475, score=0.791530 -   1.7s
[CV] c1=0.6402555339255773, c2=0.02646809125525621 ...................
[CV]  c1=0.6402555339255773, c2=0.02646809125525621, score=0.801396 -   1.7s
[CV] c1=0.0011562167703359845, c2=0.11675094016752739 ................
[CV]  c1=0.0011562167703359845, c2=0.11675094016752739, score=0.762484 -   1.3s
[CV] c1=0.02670491087686572, c2=0.011626956999799206 .................
[CV]  c1=0.02670491087686572, c2=0.011626956999799206, score=0.852733 -   1.6s
[CV] c1=0.6732627790856152, c2=0.11255724099842977 ...................
[CV]  c1=0.6732627790856152, c2=0.11255724099842977, score=0.635109 -   1.3s
[CV] c1=0.04238120698597941, c2=0.06443030492016649 ..................
[CV]  c1=0.04238120698597941, c2=0.06443030492016649, score=0.818476 -   1.7s
[CV] c1=0.6738616938854385, c2=0.0025402008580908374 .................
[CV]  c1=0.6738616938854385, c2=0.0025402008580908374, score=0.725435 -   1.4s
[CV] c1=0.39666653614934216, c2=0.05423679423226459 ..................
[CV]  c1=0.39666653614934216, c2=0.05423679423226459, score=0.902838 -   1.7s
[CV] c1=3.7628467277799063, c2=0.08849038056698239 ...................
[CV]  c1=3.7628467277799063, c2=0.08849038056698239, score=0.446313 -   1.2s
[CV] c1=0.32142061710389475, c2=0.010265313511646357 .................
[CV]  c1=0.32142061710389475, c2=0.010265313511646357, score=0.824493 -   1.9s
[CV] c1=0.5294703777711679, c2=0.0020793700224800613 .................
[CV]  c1=0.5294703777711679, c2=0.0020793700224800613, score=0.761863 -   1.8s
[CV] c1=0.09509904267278875, c2=0.042082314298497986 .................
[CV]  c1=0.09509904267278875, c2=0.042082314298497986, score=0.723373 -   1.3s
[CV] c1=0.595921369031809, c2=0.050955503648717274 ...................
[CV]  c1=0.595921369031809, c2=0.050955503648717274, score=0.663750 -   1.4s
[CV] c1=0.15522986066221245, c2=0.010699806528435217 .................
[CV]  c1=0.15522986066221245, c2=0.010699806528435217, score=0.802641 -   1.7s
[CV] c1=3.075890052710021, c2=0.007677825511173077 ...................
[CV]  c1=3.075890052710021, c2=0.007677825511173077, score=0.602757 -   1.7s
[CV] c1=0.4599025934551144, c2=0.023645310697866545 ..................
[CV]  c1=0.4599025934551144, c2=0.023645310697866545, score=0.834608 -   1.7s
[CV] c1=0.9468442112633321, c2=0.024997711775874957 ..................
[CV]  c1=0.9468442112633321, c2=0.024997711775874957, score=0.797793 -   1.6s
[CV] c1=0.1761119345388875, c2=0.004758963845858489 ..................
[CV]  c1=0.1761119345388875, c2=0.004758963845858489, score=0.861556 -   1.7s
[CV] c1=1.1413140446183594, c2=0.04180260072898835 ...................
[CV]  c1=1.1413140446183594, c2=0.04180260072898835, score=0.785162 -   1.6s
[CV] c1=0.08751858459388541, c2=0.007966991599565517 .................
[CV]  c1=0.08751858459388541, c2=0.007966991599565517, score=0.865850 -   1.7s
[CV] c1=0.5846694287913522, c2=0.04332444265338663 ...................
[CV]  c1=0.5846694287913522, c2=0.04332444265338663, score=0.816274 -   1.7s
[CV] c1=0.28529223162334755, c2=0.06969572460806829 ..................
[CV]  c1=0.28529223162334755, c2=0.06969572460806829, score=0.814257 -   1.4s
[CV] c1=0.30933244059590886, c2=0.03353862099851856 ..................
[CV]  c1=0.30933244059590886, c2=0.03353862099851856, score=0.859866 -   1.3s
[CV] c1=0.2522146586423292, c2=0.008335907866052098 ..................
[CV]  c1=0.2522146586423292, c2=0.008335907866052098, score=0.817841 -   1.7s
[CV] c1=0.21288708960884783, c2=0.04101230733533645 ..................
[CV]  c1=0.21288708960884783, c2=0.04101230733533645, score=0.724373 -   1.4s
[CV] c1=1.9229510493615907, c2=0.008138046746484648 ..................
[CV]  c1=1.9229510493615907, c2=0.008138046746484648, score=0.558569 -   1.8s
[CV] c1=0.15522986066221245, c2=0.010699806528435217 .................
[CV]  c1=0.15522986066221245, c2=0.010699806528435217, score=0.904049 -   1.7s
[CV] c1=3.075890052710021, c2=0.007677825511173077 ...................
[CV]  c1=3.075890052710021, c2=0.007677825511173077, score=0.688286 -   1.7s
[CV] c1=0.4599025934551144, c2=0.023645310697866545 ..................
[CV]  c1=0.4599025934551144, c2=0.023645310697866545, score=0.724627 -   1.6s
[CV] c1=0.6245021514677161, c2=0.07809680975727118 ...................
[CV]  c1=0.6245021514677161, c2=0.07809680975727118, score=0.715353 -   1.8s
[CV] c1=0.1761119345388875, c2=0.004758963845858489 ..................
[CV]  c1=0.1761119345388875, c2=0.004758963845858489, score=0.723916 -   1.4s
[CV] c1=0.21962979477733807, c2=0.00879492393865662 ..................
[CV]  c1=0.21962979477733807, c2=0.00879492393865662, score=0.856714 -   1.6s
[CV] c1=1.0850180050196434, c2=0.01098195223124193 ...................
[CV]  c1=1.0850180050196434, c2=0.01098195223124193, score=0.648633 -   1.9s
[CV] c1=0.087144390147475, c2=0.07253607384782863 ....................
[CV]  c1=0.087144390147475, c2=0.07253607384782863, score=0.841204 -   1.8s
[CV] c1=0.28529223162334755, c2=0.06969572460806829 ..................
[CV]  c1=0.28529223162334755, c2=0.06969572460806829, score=0.785161 -   1.5s
[CV] c1=0.46875802594899857, c2=0.15579761180796037 ..................
[CV]  c1=0.46875802594899857, c2=0.15579761180796037, score=0.821505 -   1.3s
[CV] c1=0.2522146586423292, c2=0.008335907866052098 ..................
[CV]  c1=0.2522146586423292, c2=0.008335907866052098, score=0.800837 -   1.6s
[CV] c1=1.8166605739548372, c2=0.001597654373647212 ..................
[CV]  c1=1.8166605739548372, c2=0.001597654373647212, score=0.568017 -   1.3s
[CV] c1=0.3254307467616734, c2=0.04091905869727195 ...................
[CV]  c1=0.3254307467616734, c2=0.04091905869727195, score=0.814257 -   1.9s
[CV] c1=0.01381207291627354, c2=0.015414841017673698 .................
[CV]  c1=0.01381207291627354, c2=0.015414841017673698, score=0.823713 -   1.8s
[CV] c1=0.32994861282319954, c2=0.04830466627055397 ..................
[CV]  c1=0.32994861282319954, c2=0.04830466627055397, score=0.865191 -   1.6s
[CV] c1=0.34093829211174204, c2=0.013601672882190066 .................
[CV]  c1=0.34093829211174204, c2=0.013601672882190066, score=0.907379 -   1.7s
[CV] c1=0.6245021514677161, c2=0.07809680975727118 ...................
[CV]  c1=0.6245021514677161, c2=0.07809680975727118, score=0.656269 -   1.4s
[CV] c1=0.9306115280275421, c2=0.04780571284994699 ...................
[CV]  c1=0.9306115280275421, c2=0.04780571284994699, score=0.865543 -   1.9s
[CV] c1=0.8109889803146992, c2=0.004221276030194318 ..................
[CV]  c1=0.8109889803146992, c2=0.004221276030194318, score=0.722445 -   1.8s
[CV] c1=0.11281566542834184, c2=0.07232704480233695 ..................
[CV]  c1=0.11281566542834184, c2=0.07232704480233695, score=0.838837 -   1.7s
[CV] c1=0.5846694287913522, c2=0.04332444265338663 ...................
[CV]  c1=0.5846694287913522, c2=0.04332444265338663, score=0.743045 -   1.9s
[CV] c1=3.7628467277799063, c2=0.08849038056698239 ...................
[CV]  c1=3.7628467277799063, c2=0.08849038056698239, score=0.599770 -   1.2s
[CV] c1=2.2380428455700545, c2=0.031193648696151127 ..................
[CV]  c1=2.2380428455700545, c2=0.031193648696151127, score=0.715527 -   1.6s
[CV] c1=0.671560548661546, c2=0.009257916708548149 ...................
[CV]  c1=0.671560548661546, c2=0.009257916708548149, score=0.714650 -   1.4s
[CV] c1=0.09509904267278875, c2=0.042082314298497986 .................
[CV]  c1=0.09509904267278875, c2=0.042082314298497986, score=0.793297 -   1.7s
[CV] c1=0.249991730805719, c2=0.0018267023590074673 ..................
[CV]  c1=0.249991730805719, c2=0.0018267023590074673, score=0.813266 -   1.7s
[CV] c1=0.11400410015698553, c2=0.007623955283300475 .................
[CV]  c1=0.11400410015698553, c2=0.007623955283300475, score=0.868965 -   1.6s
[CV] c1=0.6402555339255773, c2=0.02646809125525621 ...................
[CV]  c1=0.6402555339255773, c2=0.02646809125525621, score=0.730520 -   1.3s
[CV] c1=0.2707113918344585, c2=0.0733192071229363 ....................
[CV]  c1=0.2707113918344585, c2=0.0733192071229363, score=0.904606 -   1.7s
[CV] c1=0.02670491087686572, c2=0.011626956999799206 .................
[CV]  c1=0.02670491087686572, c2=0.011626956999799206, score=0.778785 -   1.3s
[CV] c1=0.5709788721295816, c2=0.0030155291636035754 .................
[CV]  c1=0.5709788721295816, c2=0.0030155291636035754, score=0.896640 -   1.6s
[CV] c1=0.5338177522516205, c2=0.002937330454509758 ..................
[CV]  c1=0.5338177522516205, c2=0.002937330454509758, score=0.903123 -   1.7s
[CV] c1=0.6738616938854385, c2=0.0025402008580908374 .................
[CV]  c1=0.6738616938854385, c2=0.0025402008580908374, score=0.736481 -   1.7s
[CV] c1=0.18440354501492054, c2=0.0019781507595028275 ................
[CV]  c1=0.18440354501492054, c2=0.0019781507595028275, score=0.867011 -   1.6s
[CV] c1=0.10601460463699383, c2=0.05027847148724898 ..................
[CV]  c1=0.10601460463699383, c2=0.05027847148724898, score=0.822650 -   1.2s
[CV] c1=0.30933244059590886, c2=0.03353862099851856 ..................
[CV]  c1=0.30933244059590886, c2=0.03353862099851856, score=0.727749 -   1.5s
[CV] c1=0.4261213881855864, c2=0.004373551500358649 ..................
[CV]  c1=0.4261213881855864, c2=0.004373551500358649, score=0.857763 -   1.7s
[CV] c1=1.457695006221925, c2=0.04960486945232578 ....................
[CV]  c1=1.457695006221925, c2=0.04960486945232578, score=0.856778 -   1.8s
[CV] c1=0.595921369031809, c2=0.050955503648717274 ...................
[CV]  c1=0.595921369031809, c2=0.050955503648717274, score=0.823695 -   1.8s
[CV] c1=0.05398552522122705, c2=0.009066797205949195 .................
[CV]  c1=0.05398552522122705, c2=0.009066797205949195, score=0.747357 -   1.4s
[CV] c1=0.9088529820027, c2=0.03142289251746005 ......................
[CV]  c1=0.9088529820027, c2=0.03142289251746005, score=0.866617 -   1.6s
[CV] c1=0.5576741591401572, c2=0.007433932145659872 ..................
[CV]  c1=0.5576741591401572, c2=0.007433932145659872, score=0.719248 -   1.5s
[CV] c1=0.9468442112633321, c2=0.024997711775874957 ..................
[CV]  c1=0.9468442112633321, c2=0.024997711775874957, score=0.705072 -   1.8s
[CV] c1=0.1761119345388875, c2=0.004758963845858489 ..................
[CV]  c1=0.1761119345388875, c2=0.004758963845858489, score=0.854282 -   1.8s
[CV] c1=0.04238120698597941, c2=0.06443030492016649 ..................
[CV]  c1=0.04238120698597941, c2=0.06443030492016649, score=0.878531 -   1.7s
[CV] c1=0.2015870281874677, c2=0.0012205400954075323 .................
[CV]  c1=0.2015870281874677, c2=0.0012205400954075323, score=0.802641 -   1.7s
[CV] c1=0.39666653614934216, c2=0.05423679423226459 ..................
[CV]  c1=0.39666653614934216, c2=0.05423679423226459, score=0.862057 -   1.7s
[CV] c1=3.7628467277799063, c2=0.08849038056698239 ...................
[CV]  c1=3.7628467277799063, c2=0.08849038056698239, score=0.534725 -   1.3s
[CV] c1=0.08764045084224342, c2=0.027798269924700875 .................
[CV]  c1=0.08764045084224342, c2=0.027798269924700875, score=0.741876 -   1.4s
[CV] c1=0.5024946668118309, c2=0.10622392182523616 ...................
[CV]  c1=0.5024946668118309, c2=0.10622392182523616, score=0.788744 -   1.7s
[CV] c1=3.1554496463533845, c2=0.14990973546753225 ...................
[CV]  c1=3.1554496463533845, c2=0.14990973546753225, score=0.475028 -   1.8s
[CV] c1=0.249991730805719, c2=0.0018267023590074673 ..................
[CV]  c1=0.249991730805719, c2=0.0018267023590074673, score=0.802641 -   1.7s
[CV] c1=0.11400410015698553, c2=0.007623955283300475 .................
[CV]  c1=0.11400410015698553, c2=0.007623955283300475, score=0.893039 -   1.7s
[CV] c1=0.6402555339255773, c2=0.02646809125525621 ...................
[CV]  c1=0.6402555339255773, c2=0.02646809125525621, score=0.875781 -   1.8s
[CV] c1=0.7582399815034848, c2=0.13710437695179917 ...................
[CV]  c1=0.7582399815034848, c2=0.13710437695179917, score=0.802637 -   1.6s
[CV] c1=0.46305194470597655, c2=0.03809613993694136 ..................
[CV]  c1=0.46305194470597655, c2=0.03809613993694136, score=0.732310 -   1.4s
[CV] c1=0.6732627790856152, c2=0.11255724099842977 ...................
[CV]  c1=0.6732627790856152, c2=0.11255724099842977, score=0.872790 -   1.7s
[CV] c1=0.04591833901901307, c2=0.04506768525582386 ..................
[CV]  c1=0.04591833901901307, c2=0.04506768525582386, score=0.721443 -   1.3s
[CV] c1=0.2015870281874677, c2=0.0012205400954075323 .................
[CV]  c1=0.2015870281874677, c2=0.0012205400954075323, score=0.831747 -   1.7s
[CV] c1=0.18440354501492054, c2=0.0019781507595028275 ................
[CV]  c1=0.18440354501492054, c2=0.0019781507595028275, score=0.730987 -   1.3s
[CV] c1=0.28529223162334755, c2=0.06969572460806829 ..................
[CV]  c1=0.28529223162334755, c2=0.06969572460806829, score=0.863073 -   1.5s
[CV] c1=0.17834555233152488, c2=0.10996144156609017 ..................
[CV]  c1=0.17834555233152488, c2=0.10996144156609017, score=0.803185 -   1.7s
[CV] c1=0.8742706877853186, c2=0.02599978337319932 ...................
[CV]  c1=0.8742706877853186, c2=0.02599978337319932, score=0.793567 -   1.7s
[CV] c1=0.6499085958067011, c2=0.057384376855606684 ..................
[CV]  c1=0.6499085958067011, c2=0.057384376855606684, score=0.870193 -   1.7s
[CV] c1=0.10895042392114353, c2=0.04125068760744757 ..................
[CV]  c1=0.10895042392114353, c2=0.04125068760744757, score=0.754869 -   1.3s
[CV] c1=0.05398552522122705, c2=0.009066797205949195 .................
[CV]  c1=0.05398552522122705, c2=0.009066797205949195, score=0.801203 -   1.7s
[CV] c1=0.7546612573959834, c2=0.017586396647506358 ..................
[CV]  c1=0.7546612573959834, c2=0.017586396647506358, score=0.870401 -   1.7s
[CV] c1=0.2707113918344585, c2=0.0733192071229363 ....................
[CV]  c1=0.2707113918344585, c2=0.0733192071229363, score=0.724120 -   1.5s
[CV] c1=0.11675921553046444, c2=0.03731761498902655 ..................
[CV]  c1=0.11675921553046444, c2=0.03731761498902655, score=0.863073 -   1.6s
[CV] c1=0.5709788721295816, c2=0.0030155291636035754 .................
[CV]  c1=0.5709788721295816, c2=0.0030155291636035754, score=0.815846 -   1.6s
[CV] c1=0.5338177522516205, c2=0.002937330454509758 ..................
[CV]  c1=0.5338177522516205, c2=0.002937330454509758, score=0.852884 -   1.6s
[CV] c1=0.6738616938854385, c2=0.0025402008580908374 .................
[CV]  c1=0.6738616938854385, c2=0.0025402008580908374, score=0.811941 -   1.7s
[CV] c1=1.9422638628769362, c2=0.01576760173627379 ...................
[CV]  c1=1.9422638628769362, c2=0.01576760173627379, score=0.568158 -   1.4s
[CV] c1=0.10601460463699383, c2=0.05027847148724898 ..................
[CV]  c1=0.10601460463699383, c2=0.05027847148724898, score=0.879384 -   1.3s
[CV] c1=0.08764045084224342, c2=0.027798269924700875 .................
[CV]  c1=0.08764045084224342, c2=0.027798269924700875, score=0.911291 -   1.7s
[CV] c1=0.8742706877853186, c2=0.02599978337319932 ...................
[CV]  c1=0.8742706877853186, c2=0.02599978337319932, score=0.704793 -   1.7s
[CV] c1=0.09509904267278875, c2=0.042082314298497986 .................
[CV]  c1=0.09509904267278875, c2=0.042082314298497986, score=0.838386 -   1.7s
[CV] c1=0.10895042392114353, c2=0.04125068760744757 ..................
[CV]  c1=0.10895042392114353, c2=0.04125068760744757, score=0.799349 -   1.8s
[CV] c1=0.11400410015698553, c2=0.007623955283300475 .................
[CV]  c1=0.11400410015698553, c2=0.007623955283300475, score=0.813806 -   1.7s
[CV] c1=0.0439814744138218, c2=0.04707562642453956 ...................
[CV]  c1=0.0439814744138218, c2=0.04707562642453956, score=0.880646 -   1.6s
[CV] c1=0.0011562167703359845, c2=0.11675094016752739 ................
[CV]  c1=0.0011562167703359845, c2=0.11675094016752739, score=0.873046 -   1.5s
[CV] c1=0.46305194470597655, c2=0.03809613993694136 ..................
[CV]  c1=0.46305194470597655, c2=0.03809613993694136, score=0.847655 -   1.7s
[CV] c1=0.020350436780461965, c2=0.008384378130599057 ................
[CV]  c1=0.020350436780461965, c2=0.008384378130599057, score=0.858634 -   1.6s
[CV] c1=0.4173489783204196, c2=0.03670988637987299 ...................
[CV]  c1=0.4173489783204196, c2=0.03670988637987299, score=0.726201 -   1.5s
[CV] c1=0.09503780169224162, c2=0.1661752535441613 ...................
[CV]  c1=0.09503780169224162, c2=0.1661752535441613, score=0.743926 -   1.3s
[CV] c1=0.18440354501492054, c2=0.0019781507595028275 ................
[CV]  c1=0.18440354501492054, c2=0.0019781507595028275, score=0.895589 -   1.7s
[CV] c1=3.7628467277799063, c2=0.08849038056698239 ...................
[CV]  c1=3.7628467277799063, c2=0.08849038056698239, score=0.438621 -   1.4s
[CV] c1=0.46875802594899857, c2=0.15579761180796037 ..................
[CV]  c1=0.46875802594899857, c2=0.15579761180796037, score=0.818022 -   1.6s
[CV] c1=0.4261213881855864, c2=0.004373551500358649 ..................
[CV]  c1=0.4261213881855864, c2=0.004373551500358649, score=0.905611 -   1.7s
[CV] c1=0.21288708960884783, c2=0.04101230733533645 ..................
[CV]  c1=0.21288708960884783, c2=0.04101230733533645, score=0.800837 -   1.7s
[CV] c1=0.595921369031809, c2=0.050955503648717274 ...................
[CV]  c1=0.595921369031809, c2=0.050955503648717274, score=0.876265 -   1.8s
[CV] c1=0.28430548797902866, c2=0.010829150290209505 .................
[CV]  c1=0.28430548797902866, c2=0.010829150290209505, score=0.785415 -   1.8s
[CV] c1=0.9088529820027, c2=0.03142289251746005 ......................
[CV]  c1=0.9088529820027, c2=0.03142289251746005, score=0.808114 -   1.8s
[CV] c1=0.9648645763980515, c2=0.006870537639775018 ..................
[CV]  c1=0.9648645763980515, c2=0.006870537639775018, score=0.853583 -   1.7s
[CV] c1=0.11675921553046444, c2=0.03731761498902655 ..................
[CV]  c1=0.11675921553046444, c2=0.03731761498902655, score=0.882072 -   1.7s
[CV] c1=0.5709788721295816, c2=0.0030155291636035754 .................
[CV]  c1=0.5709788721295816, c2=0.0030155291636035754, score=0.723397 -   1.4s
[CV] c1=0.04238120698597941, c2=0.06443030492016649 ..................
[CV]  c1=0.04238120698597941, c2=0.06443030492016649, score=0.821963 -   1.7s
[CV] c1=0.6738616938854385, c2=0.0025402008580908374 .................
[CV]  c1=0.6738616938854385, c2=0.0025402008580908374, score=0.874971 -   1.7s
[CV] c1=0.18440354501492054, c2=0.0019781507595028275 ................
[CV]  c1=0.18440354501492054, c2=0.0019781507595028275, score=0.802641 -   1.7s
[CV] c1=0.10601460463699383, c2=0.05027847148724898 ..................
[CV]  c1=0.10601460463699383, c2=0.05027847148724898, score=0.863073 -   1.3s
Training done in: 24.024851s
     Saving training model...
        Saving training model done in: 0.013725s
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Prediction done in: 0.040083s