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

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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: Run8
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: TrueS4: False
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: 0.003687s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0        1
0        lemma        :
1       postag        :
2     -1:lemma       in
3    -1:postag       IN
4     +1:lemma       m9
5    +1:postag       NN
6       hUpper    False
7       hLower    False
8       hGreek    False
9         symb    False
10   lemma[:1]        :
11  postag[:1]        :
12        word        :
13     isUpper    False
14     isLower    False
15     isGreek    False
16    isNumber    False
17     -1:word       in
18     +1:word       M9
19    -2:lemma  culture
20   -2:postag      VBN
21    +2:lemma  minimal
22   +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       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10   lemma[:1]           d
11  postag[:1]           N
12   lemma[:2]          de
13  postag[:2]          NN
14        word  delta-arcA
15     isUpper       False
16     isLower       False
17     isGreek       False
18    isNumber       False
19     -1:word           _
20     +1:word           _
21    -2:lemma     affyexp
22   -2:postag          JJ
23    +2:lemma     glucose
24   +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.007262673476503506, c2=0.01043011280645878 .................
[CV]  c1=0.007262673476503506, c2=0.01043011280645878, score=0.872785 -   1.7s
[CV] c1=0.08173984540593174, c2=0.06867296636689539 ..................
[CV]  c1=0.08173984540593174, c2=0.06867296636689539, score=0.863751 -   1.6s
[CV] c1=0.5068785901063158, c2=0.003963177378630907 ..................
[CV]  c1=0.5068785901063158, c2=0.003963177378630907, score=0.875505 -   1.7s
[CV] c1=0.45472477134202993, c2=0.04662132172099773 ..................
[CV]  c1=0.45472477134202993, c2=0.04662132172099773, score=0.729561 -   1.3s
[CV] c1=0.25002147080466974, c2=0.023060522027549556 .................
[CV]  c1=0.25002147080466974, c2=0.023060522027549556, score=0.827236 -   1.7s
[CV] c1=0.9153717828254931, c2=0.005891098185698801 ..................
[CV]  c1=0.9153717828254931, c2=0.005891098185698801, score=0.681115 -   1.4s
[CV] c1=0.13147016315736373, c2=0.06935587614122277 ..................
[CV]  c1=0.13147016315736373, c2=0.06935587614122277, score=0.829919 -   1.7s
[CV] c1=0.5167583118284114, c2=0.00025984825549170193 ................
[CV]  c1=0.5167583118284114, c2=0.00025984825549170193, score=0.855659 -   1.6s
[CV] c1=0.1481732845970468, c2=0.17530324451711202 ...................
[CV]  c1=0.1481732845970468, c2=0.17530324451711202, score=0.804667 -   1.7s
[CV] c1=0.7320822222494103, c2=0.23927081580251577 ...................
[CV]  c1=0.7320822222494103, c2=0.23927081580251577, score=0.786540 -   1.6s
[CV] c1=0.46696013102071426, c2=0.11471994868295506 ..................
[CV]  c1=0.46696013102071426, c2=0.11471994868295506, score=0.736999 -   1.8s
[CV] c1=0.773084430698152, c2=0.011828164640285313 ...................
[CV]  c1=0.773084430698152, c2=0.011828164640285313, score=0.715724 -   1.4s
[CV] c1=0.1852990227723479, c2=0.08369032788465389 ...................
[CV]  c1=0.1852990227723479, c2=0.08369032788465389, score=0.804416 -   1.7s
[CV] c1=0.704381071721342, c2=0.031604325862903626 ...................
[CV]  c1=0.704381071721342, c2=0.031604325862903626, score=0.808428 -   1.8s
[CV] c1=0.10046051995251327, c2=0.031597131431458494 .................
[CV]  c1=0.10046051995251327, c2=0.031597131431458494, score=0.810739 -   1.7s
[CV] c1=0.29760927991836533, c2=0.0345344789444891 ...................
[CV]  c1=0.29760927991836533, c2=0.0345344789444891, score=0.853034 -   1.6s
[CV] c1=0.8966823221623569, c2=0.030378905887106962 ..................
[CV]  c1=0.8966823221623569, c2=0.030378905887106962, score=0.807623 -   1.5s
[CV] c1=1.0998214505957569, c2=0.011880263411389463 ..................
[CV]  c1=1.0998214505957569, c2=0.011880263411389463, score=0.861164 -   1.7s
[CV] c1=0.07717244736067945, c2=0.0950136849321955 ...................
[CV]  c1=0.07717244736067945, c2=0.0950136849321955, score=0.716880 -   1.4s
[CV] c1=0.33271619658374124, c2=0.0003048781136972566 ................
[CV]  c1=0.33271619658374124, c2=0.0003048781136972566, score=0.898256 -   1.6s
[CV] c1=0.27384964958919916, c2=0.002761459769715909 .................
[CV]  c1=0.27384964958919916, c2=0.002761459769715909, score=0.738663 -   1.4s
[CV] c1=0.4857855795912908, c2=0.0218567429663494 ....................
[CV]  c1=0.4857855795912908, c2=0.0218567429663494, score=0.778904 -   1.7s
[CV] c1=0.5206076342797333, c2=0.10755650490381193 ...................
[CV]  c1=0.5206076342797333, c2=0.10755650490381193, score=0.807364 -   1.6s
[CV] c1=0.0010708193056450843, c2=0.03028870040797234 ................
[CV]  c1=0.0010708193056450843, c2=0.03028870040797234, score=0.745935 -   1.3s
[CV] c1=0.03731304669298205, c2=0.01988274113519642 ..................
[CV]  c1=0.03731304669298205, c2=0.01988274113519642, score=0.817006 -   1.6s
[CV] c1=0.13187688861992145, c2=0.07833318380274547 ..................
[CV]  c1=0.13187688861992145, c2=0.07833318380274547, score=0.732280 -   1.4s
[CV] c1=0.29939645845072976, c2=0.03990683120816598 ..................
[CV]  c1=0.29939645845072976, c2=0.03990683120816598, score=0.797835 -   1.8s
[CV] c1=0.028630377964792113, c2=0.0052807766550979985 ...............
[CV]  c1=0.028630377964792113, c2=0.0052807766550979985, score=0.858318 -   1.7s
[CV] c1=1.407241882824613, c2=0.011201424753352363 ...................
[CV]  c1=1.407241882824613, c2=0.011201424753352363, score=0.631237 -   1.7s
[CV] c1=0.6504605126367465, c2=0.005563115922072999 ..................
[CV]  c1=0.6504605126367465, c2=0.005563115922072999, score=0.805862 -   1.6s
[CV] c1=0.1053882018885364, c2=0.0029077646757299266 .................
[CV]  c1=0.1053882018885364, c2=0.0029077646757299266, score=0.830115 -   1.7s
[CV] c1=0.40133582394258055, c2=0.05249216322848171 ..................
[CV]  c1=0.40133582394258055, c2=0.05249216322848171, score=0.792479 -   2.0s
[CV] c1=0.2848525788857695, c2=0.21642194281998128 ...................
[CV]  c1=0.2848525788857695, c2=0.21642194281998128, score=0.774743 -   1.8s
[CV] c1=0.7320822222494103, c2=0.23927081580251577 ...................
[CV]  c1=0.7320822222494103, c2=0.23927081580251577, score=0.855084 -   1.6s
[CV] c1=0.46696013102071426, c2=0.11471994868295506 ..................
[CV]  c1=0.46696013102071426, c2=0.11471994868295506, score=0.886231 -   1.7s
[CV] c1=0.69390540924282, c2=0.006805216879840948 ....................
[CV]  c1=0.69390540924282, c2=0.006805216879840948, score=0.887175 -   1.7s
[CV] c1=0.40929628879926755, c2=0.013010312226252563 .................
[CV]  c1=0.40929628879926755, c2=0.013010312226252563, score=0.892177 -   1.6s
[CV] c1=0.28231306419363317, c2=0.04325959243596138 ..................
[CV]  c1=0.28231306419363317, c2=0.04325959243596138, score=0.747453 -   1.4s
[CV] c1=1.0279241242273025, c2=0.07893330442717779 ...................
[CV]  c1=1.0279241242273025, c2=0.07893330442717779, score=0.635557 -   1.8s
[CV] c1=0.39379502754702506, c2=0.026972833432054595 .................
[CV]  c1=0.39379502754702506, c2=0.026972833432054595, score=0.729561 -   1.3s
[CV] c1=1.407241882824613, c2=0.011201424753352363 ...................
[CV]  c1=1.407241882824613, c2=0.011201424753352363, score=0.792670 -   1.6s
[CV] c1=0.6504605126367465, c2=0.005563115922072999 ..................
[CV]  c1=0.6504605126367465, c2=0.005563115922072999, score=0.729626 -   1.8s
[CV] c1=0.1780656687761986, c2=0.03245017409484223 ...................
[CV]  c1=0.1780656687761986, c2=0.03245017409484223, score=0.847803 -   1.8s
[CV] c1=0.5485186376616402, c2=0.019512709262024447 ..................
[CV]  c1=0.5485186376616402, c2=0.019512709262024447, score=0.851886 -   1.8s
[CV] c1=0.429927106684593, c2=0.028281828900289182 ...................
[CV]  c1=0.429927106684593, c2=0.028281828900289182, score=0.842992 -   1.6s
[CV] c1=0.361786682525782, c2=0.00891426326856356 ....................
[CV]  c1=0.361786682525782, c2=0.00891426326856356, score=0.843084 -   1.6s
[CV] c1=0.034919670472553406, c2=0.08104080788765511 .................
[CV]  c1=0.034919670472553406, c2=0.08104080788765511, score=0.818706 -   1.8s
[CV] c1=0.08620902898945007, c2=0.046518730633344524 .................
[CV]  c1=0.08620902898945007, c2=0.046518730633344524, score=0.830688 -   1.8s
[CV] c1=1.175259979545111, c2=0.02169070462443938 ....................
[CV]  c1=1.175259979545111, c2=0.02169070462443938, score=0.774152 -   1.5s
[CV] c1=0.13187688861992145, c2=0.07833318380274547 ..................
[CV]  c1=0.13187688861992145, c2=0.07833318380274547, score=0.823928 -   1.9s
[CV] c1=1.0279241242273025, c2=0.07893330442717779 ...................
[CV]  c1=1.0279241242273025, c2=0.07893330442717779, score=0.771698 -   1.8s
[CV] c1=0.39379502754702506, c2=0.026972833432054595 .................
[CV]  c1=0.39379502754702506, c2=0.026972833432054595, score=0.871926 -   1.8s
[CV] c1=0.25002147080466974, c2=0.023060522027549556 .................
[CV]  c1=0.25002147080466974, c2=0.023060522027549556, score=0.844050 -   1.7s
[CV] c1=0.9153717828254931, c2=0.005891098185698801 ..................
[CV]  c1=0.9153717828254931, c2=0.005891098185698801, score=0.860305 -   1.7s
[CV] c1=0.9028871916627116, c2=0.0015922562657893448 .................
[CV]  c1=0.9028871916627116, c2=0.0015922562657893448, score=0.723695 -   1.4s
[CV] c1=0.5167583118284114, c2=0.00025984825549170193 ................
[CV]  c1=0.5167583118284114, c2=0.00025984825549170193, score=0.882300 -   1.7s
[CV] c1=0.1481732845970468, c2=0.17530324451711202 ...................
[CV]  c1=0.1481732845970468, c2=0.17530324451711202, score=0.763816 -   1.4s
[CV] c1=0.361786682525782, c2=0.00891426326856356 ....................
[CV]  c1=0.361786682525782, c2=0.00891426326856356, score=0.896393 -   1.8s
[CV] c1=0.034919670472553406, c2=0.08104080788765511 .................
[CV]  c1=0.034919670472553406, c2=0.08104080788765511, score=0.829119 -   1.8s
[CV] c1=0.69390540924282, c2=0.006805216879840948 ....................
[CV]  c1=0.69390540924282, c2=0.006805216879840948, score=0.718789 -   1.8s
[CV] c1=0.34553591403907935, c2=0.07300907600096485 ..................
[CV]  c1=0.34553591403907935, c2=0.07300907600096485, score=0.839859 -   1.6s
[CV] c1=0.1195994617622291, c2=0.019907918554847776 ..................
[CV]  c1=0.1195994617622291, c2=0.019907918554847776, score=0.892367 -   1.6s
[CV] c1=1.0279241242273025, c2=0.07893330442717779 ...................
[CV]  c1=1.0279241242273025, c2=0.07893330442717779, score=0.763735 -   1.6s
[CV] c1=0.05001749174507288, c2=0.020037239944531333 .................
[CV]  c1=0.05001749174507288, c2=0.020037239944531333, score=0.842002 -   1.8s
[CV] c1=0.034950850263229354, c2=0.08302887035473355 .................
[CV]  c1=0.034950850263229354, c2=0.08302887035473355, score=0.852159 -   1.6s
[CV] c1=1.1975035277077326, c2=0.011680398794452712 ..................
[CV]  c1=1.1975035277077326, c2=0.011680398794452712, score=0.765884 -   1.6s
[CV] c1=0.13147016315736373, c2=0.06935587614122277 ..................
[CV]  c1=0.13147016315736373, c2=0.06935587614122277, score=0.808350 -   1.6s
[CV] c1=1.4768665247280195, c2=0.005319329852164965 ..................
[CV]  c1=1.4768665247280195, c2=0.005319329852164965, score=0.770511 -   1.6s
[CV] c1=0.429927106684593, c2=0.028281828900289182 ...................
[CV]  c1=0.429927106684593, c2=0.028281828900289182, score=0.798004 -   1.7s
[CV] c1=0.361786682525782, c2=0.00891426326856356 ....................
[CV]  c1=0.361786682525782, c2=0.00891426326856356, score=0.862189 -   1.7s
[CV] c1=0.46696013102071426, c2=0.11471994868295506 ..................
[CV]  c1=0.46696013102071426, c2=0.11471994868295506, score=0.807364 -   1.7s
[CV] c1=0.69390540924282, c2=0.006805216879840948 ....................
[CV]  c1=0.69390540924282, c2=0.006805216879840948, score=0.847904 -   1.7s
[CV] c1=0.1852990227723479, c2=0.08369032788465389 ...................
[CV]  c1=0.1852990227723479, c2=0.08369032788465389, score=0.902104 -   1.7s
[CV] c1=0.704381071721342, c2=0.031604325862903626 ...................
[CV]  c1=0.704381071721342, c2=0.031604325862903626, score=0.733983 -   1.4s
[CV] c1=0.5068785901063158, c2=0.003963177378630907 ..................
[CV]  c1=0.5068785901063158, c2=0.003963177378630907, score=0.733429 -   1.4s
[CV] c1=0.36893715794001314, c2=0.07322742199079839 ..................
[CV]  c1=0.36893715794001314, c2=0.07322742199079839, score=0.878036 -   1.7s
[CV] c1=0.10408266756853185, c2=0.003184410573079355 .................
[CV]  c1=0.10408266756853185, c2=0.003184410573079355, score=0.753011 -   1.3s
[CV] c1=1.1975035277077326, c2=0.011680398794452712 ..................
[CV]  c1=1.1975035277077326, c2=0.011680398794452712, score=0.664302 -   1.7s
[CV] c1=0.4123127687501914, c2=0.003772892961943774 ..................
[CV]  c1=0.4123127687501914, c2=0.003772892961943774, score=0.842841 -   1.6s
[CV] c1=0.5167583118284114, c2=0.00025984825549170193 ................
[CV]  c1=0.5167583118284114, c2=0.00025984825549170193, score=0.778904 -   1.7s
[CV] c1=0.1481732845970468, c2=0.17530324451711202 ...................
[CV]  c1=0.1481732845970468, c2=0.17530324451711202, score=0.823928 -   1.7s
[CV] c1=0.12095961217986577, c2=0.10163005979269245 ..................
[CV]  c1=0.12095961217986577, c2=0.10163005979269245, score=0.899543 -   1.6s
[CV] c1=0.46696013102071426, c2=0.11471994868295506 ..................
[CV]  c1=0.46696013102071426, c2=0.11471994868295506, score=0.849536 -   1.8s
[CV] c1=0.773084430698152, c2=0.011828164640285313 ...................
[CV]  c1=0.773084430698152, c2=0.011828164640285313, score=0.796030 -   1.6s
[CV] c1=0.34553591403907935, c2=0.07300907600096485 ..................
[CV]  c1=0.34553591403907935, c2=0.07300907600096485, score=0.853034 -   1.7s
[CV] c1=0.28231306419363317, c2=0.04325959243596138 ..................
[CV]  c1=0.28231306419363317, c2=0.04325959243596138, score=0.905795 -   1.7s
[CV] c1=0.7769641210538945, c2=0.02452119643657618 ...................
[CV]  c1=0.7769641210538945, c2=0.02452119643657618, score=0.708015 -   1.8s
[CV] c1=0.7941724659778623, c2=0.03084398409488273 ...................
[CV]  c1=0.7941724659778623, c2=0.03084398409488273, score=0.868053 -   1.7s
[CV] c1=0.10408266756853185, c2=0.003184410573079355 .................
[CV]  c1=0.10408266756853185, c2=0.003184410573079355, score=0.810739 -   1.7s
[CV] c1=0.3720530533582215, c2=0.029849885781943 .....................
[CV]  c1=0.3720530533582215, c2=0.029849885781943, score=0.901989 -   1.7s
[CV] c1=0.014994152606494048, c2=0.007690078158124735 ................
[CV]  c1=0.014994152606494048, c2=0.007690078158124735, score=0.776475 -   1.4s
[CV] c1=1.4386153637509826, c2=0.047288383724964925 ..................
[CV]  c1=1.4386153637509826, c2=0.047288383724964925, score=0.834747 -   1.8s
[CV] c1=0.01755454712502546, c2=0.030353827312627105 .................
[CV]  c1=0.01755454712502546, c2=0.030353827312627105, score=0.856174 -   1.6s
[CV] c1=0.12095961217986577, c2=0.10163005979269245 ..................
[CV]  c1=0.12095961217986577, c2=0.10163005979269245, score=0.850208 -   1.6s
[CV] c1=0.1778725113924758, c2=0.006689622003928694 ..................
[CV]  c1=0.1778725113924758, c2=0.006689622003928694, score=0.808148 -   1.8s
[CV] c1=0.0010708193056450843, c2=0.03028870040797234 ................
[CV]  c1=0.0010708193056450843, c2=0.03028870040797234, score=0.884853 -   1.6s
[CV] c1=0.13424740485424022, c2=0.01830163501091318 ..................
[CV]  c1=0.13424740485424022, c2=0.01830163501091318, score=0.902350 -   1.7s
[CV] c1=0.1195994617622291, c2=0.019907918554847776 ..................
[CV]  c1=0.1195994617622291, c2=0.019907918554847776, score=0.849239 -   1.7s
[CV] c1=0.7769641210538945, c2=0.02452119643657618 ...................
[CV]  c1=0.7769641210538945, c2=0.02452119643657618, score=0.870269 -   1.6s
[CV] c1=0.36893715794001314, c2=0.07322742199079839 ..................
[CV]  c1=0.36893715794001314, c2=0.07322742199079839, score=0.895344 -   1.7s
[CV] c1=0.25002147080466974, c2=0.023060522027549556 .................
[CV]  c1=0.25002147080466974, c2=0.023060522027549556, score=0.807908 -   1.7s
[CV] c1=0.07432561229277224, c2=0.014200579780550365 .................
[CV]  c1=0.07432561229277224, c2=0.014200579780550365, score=0.868375 -   1.8s
[CV] c1=0.9028871916627116, c2=0.0015922562657893448 .................
[CV]  c1=0.9028871916627116, c2=0.0015922562657893448, score=0.698295 -   1.7s
[CV] c1=0.1121832558268197, c2=0.10331106265753659 ...................
[CV]  c1=0.1121832558268197, c2=0.10331106265753659, score=0.904091 -   1.8s
[CV] c1=0.08344898720123467, c2=0.009133862462776322 .................
[CV]  c1=0.08344898720123467, c2=0.009133862462776322, score=0.883424 -   1.6s
[CV] c1=0.13732983497858656, c2=0.06050597397551072 ..................
[CV]  c1=0.13732983497858656, c2=0.06050597397551072, score=0.748037 -   1.4s
[CV] c1=0.5206076342797333, c2=0.10755650490381193 ...................
[CV]  c1=0.5206076342797333, c2=0.10755650490381193, score=0.724858 -   1.4s
[CV] c1=0.69390540924282, c2=0.006805216879840948 ....................
[CV]  c1=0.69390540924282, c2=0.006805216879840948, score=0.799637 -   1.6s
[CV] c1=0.34553591403907935, c2=0.07300907600096485 ..................
[CV]  c1=0.34553591403907935, c2=0.07300907600096485, score=0.895037 -   1.6s
[CV] c1=0.08032242156179181, c2=0.040420670067771544 .................
[CV]  c1=0.08032242156179181, c2=0.040420670067771544, score=0.810739 -   1.7s
[CV] c1=3.0327407871326257, c2=0.010180518056776187 ..................
[CV]  c1=3.0327407871326257, c2=0.010180518056776187, score=0.693466 -   1.6s
[CV] c1=0.39379502754702506, c2=0.026972833432054595 .................
[CV]  c1=0.39379502754702506, c2=0.026972833432054595, score=0.910964 -   1.7s
[CV] c1=0.034950850263229354, c2=0.08302887035473355 .................
[CV]  c1=0.034950850263229354, c2=0.08302887035473355, score=0.898887 -   1.7s
[CV] c1=1.1975035277077326, c2=0.011680398794452712 ..................
[CV]  c1=1.1975035277077326, c2=0.011680398794452712, score=0.639265 -   1.4s
[CV] c1=0.1780656687761986, c2=0.03245017409484223 ...................
[CV]  c1=0.1780656687761986, c2=0.03245017409484223, score=0.804416 -   1.8s
[CV] c1=1.4768665247280195, c2=0.005319329852164965 ..................
[CV]  c1=1.4768665247280195, c2=0.005319329852164965, score=0.631237 -   1.8s
[CV] c1=0.429927106684593, c2=0.028281828900289182 ...................
[CV]  c1=0.429927106684593, c2=0.028281828900289182, score=0.872909 -   1.8s
[CV] c1=0.7320822222494103, c2=0.23927081580251577 ...................
[CV]  c1=0.7320822222494103, c2=0.23927081580251577, score=0.793435 -   1.7s
[CV] c1=0.1778725113924758, c2=0.006689622003928694 ..................
[CV]  c1=0.1778725113924758, c2=0.006689622003928694, score=0.865975 -   1.6s
[CV] c1=0.773084430698152, c2=0.011828164640285313 ...................
[CV]  c1=0.773084430698152, c2=0.011828164640285313, score=0.875366 -   1.7s
[CV] c1=0.13424740485424022, c2=0.01830163501091318 ..................
[CV]  c1=0.13424740485424022, c2=0.01830163501091318, score=0.747335 -   1.3s
[CV] c1=0.08032242156179181, c2=0.040420670067771544 .................
[CV]  c1=0.08032242156179181, c2=0.040420670067771544, score=0.896513 -   1.5s
[CV] c1=1.1791711960193776, c2=0.12263797868957244 ...................
[CV]  c1=1.1791711960193776, c2=0.12263797868957244, score=0.622416 -   1.7s
[CV] c1=0.05001749174507288, c2=0.020037239944531333 .................
[CV]  c1=0.05001749174507288, c2=0.020037239944531333, score=0.777367 -   1.3s
[CV] c1=0.29760927991836533, c2=0.0345344789444891 ...................
[CV]  c1=0.29760927991836533, c2=0.0345344789444891, score=0.848443 -   1.8s
[CV] c1=0.6504605126367465, c2=0.005563115922072999 ..................
[CV]  c1=0.6504605126367465, c2=0.005563115922072999, score=0.718891 -   1.4s
[CV] c1=1.0998214505957569, c2=0.011880263411389463 ..................
[CV]  c1=1.0998214505957569, c2=0.011880263411389463, score=0.645070 -   1.4s
[CV] c1=0.657797034705774, c2=0.10030121671071623 ....................
[CV]  c1=0.657797034705774, c2=0.10030121671071623, score=0.869837 -   1.7s
[CV] c1=0.33271619658374124, c2=0.0003048781136972566 ................
[CV]  c1=0.33271619658374124, c2=0.0003048781136972566, score=0.730413 -   1.5s
[CV] c1=0.08344898720123467, c2=0.009133862462776322 .................
[CV]  c1=0.08344898720123467, c2=0.009133862462776322, score=0.892367 -   1.5s
[CV] c1=0.12095961217986577, c2=0.10163005979269245 ..................
[CV]  c1=0.12095961217986577, c2=0.10163005979269245, score=0.795444 -   1.7s
[CV] c1=0.5206076342797333, c2=0.10755650490381193 ...................
[CV]  c1=0.5206076342797333, c2=0.10755650490381193, score=0.732684 -   1.8s
[CV] c1=0.4896051858544965, c2=0.005992711548350068 ..................
[CV]  c1=0.4896051858544965, c2=0.005992711548350068, score=0.723040 -   1.4s
[CV] c1=0.40929628879926755, c2=0.013010312226252563 .................
[CV]  c1=0.40929628879926755, c2=0.013010312226252563, score=0.799459 -   1.8s
[CV] c1=0.08173984540593174, c2=0.06867296636689539 ..................
[CV]  c1=0.08173984540593174, c2=0.06867296636689539, score=0.738868 -   1.4s
[CV] c1=3.0327407871326257, c2=0.010180518056776187 ..................
[CV]  c1=3.0327407871326257, c2=0.010180518056776187, score=0.523044 -   1.7s
[CV] c1=0.36893715794001314, c2=0.07322742199079839 ..................
[CV]  c1=0.36893715794001314, c2=0.07322742199079839, score=0.785800 -   1.8s
[CV] c1=0.10408266756853185, c2=0.003184410573079355 .................
[CV]  c1=0.10408266756853185, c2=0.003184410573079355, score=0.888803 -   1.7s
[CV] c1=0.9153717828254931, c2=0.005891098185698801 ..................
[CV]  c1=0.9153717828254931, c2=0.005891098185698801, score=0.690356 -   1.8s
[CV] c1=0.014994152606494048, c2=0.007690078158124735 ................
[CV]  c1=0.014994152606494048, c2=0.007690078158124735, score=0.882234 -   1.6s
[CV] c1=1.4386153637509826, c2=0.047288383724964925 ..................
[CV]  c1=1.4386153637509826, c2=0.047288383724964925, score=0.575387 -   1.8s
[CV] c1=0.08344898720123467, c2=0.009133862462776322 .................
[CV]  c1=0.08344898720123467, c2=0.009133862462776322, score=0.801432 -   1.7s
[CV] c1=0.4857855795912908, c2=0.0218567429663494 ....................
[CV]  c1=0.4857855795912908, c2=0.0218567429663494, score=0.872909 -   1.7s
[CV] c1=0.0658112249521467, c2=0.010376965826453092 ..................
[CV]  c1=0.0658112249521467, c2=0.010376965826453092, score=0.775122 -   1.3s
[CV] c1=0.773084430698152, c2=0.011828164640285313 ...................
[CV]  c1=0.773084430698152, c2=0.011828164640285313, score=0.826883 -   1.7s
[CV] c1=0.007262673476503506, c2=0.01043011280645878 .................
[CV]  c1=0.007262673476503506, c2=0.01043011280645878, score=0.804530 -   1.7s
[CV] c1=0.08077783383860558, c2=0.020892341798737883 .................
[CV]  c1=0.08077783383860558, c2=0.020892341798737883, score=0.865307 -   1.7s
[CV] c1=0.2789346445916407, c2=0.05953273030696931 ...................
[CV]  c1=0.2789346445916407, c2=0.05953273030696931, score=0.910186 -   1.7s
[CV] c1=0.07318435119377942, c2=0.0869857413037494 ...................
[CV]  c1=0.07318435119377942, c2=0.0869857413037494, score=0.896900 -   1.6s
[CV] c1=1.1718101120284652, c2=0.006138416773788868 ..................
[CV]  c1=1.1718101120284652, c2=0.006138416773788868, score=0.633341 -   1.6s
[CV] c1=1.2574894880533987, c2=0.0013919305418463113 .................
[CV]  c1=1.2574894880533987, c2=0.0013919305418463113, score=0.633341 -   1.8s
[CV] c1=0.07717244736067945, c2=0.0950136849321955 ...................
[CV]  c1=0.07717244736067945, c2=0.0950136849321955, score=0.896900 -   1.7s
[CV] c1=1.1756008321717972, c2=0.0595626529227766 ....................
[CV]  c1=1.1756008321717972, c2=0.0595626529227766, score=0.658129 -   1.3s
[CV] c1=0.08344898720123467, c2=0.009133862462776322 .................
[CV]  c1=0.08344898720123467, c2=0.009133862462776322, score=0.856458 -   1.6s
[CV] c1=0.4857855795912908, c2=0.0218567429663494 ....................
[CV]  c1=0.4857855795912908, c2=0.0218567429663494, score=0.842864 -   1.6s
[CV] c1=0.5206076342797333, c2=0.10755650490381193 ...................
[CV]  c1=0.5206076342797333, c2=0.10755650490381193, score=0.851886 -   1.7s
[CV] c1=0.4896051858544965, c2=0.005992711548350068 ..................
[CV]  c1=0.4896051858544965, c2=0.005992711548350068, score=0.884098 -   1.5s
[CV] c1=0.007262673476503506, c2=0.01043011280645878 .................
[CV]  c1=0.007262673476503506, c2=0.01043011280645878, score=0.854105 -   1.8s
[CV] c1=0.704381071721342, c2=0.031604325862903626 ...................
[CV]  c1=0.704381071721342, c2=0.031604325862903626, score=0.812758 -   1.6s
[CV] c1=0.2789346445916407, c2=0.05953273030696931 ...................
[CV]  c1=0.2789346445916407, c2=0.05953273030696931, score=0.798142 -   1.7s
[CV] c1=0.07318435119377942, c2=0.0869857413037494 ...................
[CV]  c1=0.07318435119377942, c2=0.0869857413037494, score=0.827512 -   1.7s
[CV] c1=0.8966823221623569, c2=0.030378905887106962 ..................
[CV]  c1=0.8966823221623569, c2=0.030378905887106962, score=0.713019 -   1.3s
[CV] c1=1.2574894880533987, c2=0.0013919305418463113 .................
[CV]  c1=1.2574894880533987, c2=0.0013919305418463113, score=0.636649 -   1.3s
[CV] c1=0.9028871916627116, c2=0.0015922562657893448 .................
[CV]  c1=0.9028871916627116, c2=0.0015922562657893448, score=0.829028 -   1.8s
[CV] c1=0.1121832558268197, c2=0.10331106265753659 ...................
[CV]  c1=0.1121832558268197, c2=0.10331106265753659, score=0.807056 -   1.7s
[CV] c1=0.27384964958919916, c2=0.002761459769715909 .................
[CV]  c1=0.27384964958919916, c2=0.002761459769715909, score=0.887924 -   1.8s
[CV] c1=0.13732983497858656, c2=0.06050597397551072 ..................
[CV]  c1=0.13732983497858656, c2=0.06050597397551072, score=0.831886 -   1.6s
[CV] c1=0.12255692659352559, c2=0.05356511634384864 ..................
[CV]  c1=0.12255692659352559, c2=0.05356511634384864, score=0.751633 -   1.3s
[CV] c1=0.0010708193056450843, c2=0.03028870040797234 ................
[CV]  c1=0.0010708193056450843, c2=0.03028870040797234, score=0.856803 -   1.7s
[CV] c1=0.1852990227723479, c2=0.08369032788465389 ...................
[CV]  c1=0.1852990227723479, c2=0.08369032788465389, score=0.743628 -   1.4s
[CV] c1=0.08173984540593174, c2=0.06867296636689539 ..................
[CV]  c1=0.08173984540593174, c2=0.06867296636689539, score=0.850208 -   1.5s
[CV] c1=0.44506621187834466, c2=0.03683916460320648 ..................
[CV]  c1=0.44506621187834466, c2=0.03683916460320648, score=0.906231 -   1.7s
[CV] c1=0.7941724659778623, c2=0.03084398409488273 ...................
[CV]  c1=0.7941724659778623, c2=0.03084398409488273, score=0.705756 -   1.6s
[CV] c1=0.10408266756853185, c2=0.003184410573079355 .................
[CV]  c1=0.10408266756853185, c2=0.003184410573079355, score=0.875109 -   1.6s
[CV] c1=0.9153717828254931, c2=0.005891098185698801 ..................
[CV]  c1=0.9153717828254931, c2=0.005891098185698801, score=0.807623 -   1.6s
[CV] c1=0.9028871916627116, c2=0.0015922562657893448 .................
[CV]  c1=0.9028871916627116, c2=0.0015922562657893448, score=0.810517 -   1.6s
[CV] c1=1.4386153637509826, c2=0.047288383724964925 ..................
[CV]  c1=1.4386153637509826, c2=0.047288383724964925, score=0.743725 -   1.6s
[CV] c1=0.01755454712502546, c2=0.030353827312627105 .................
[CV]  c1=0.01755454712502546, c2=0.030353827312627105, score=0.818706 -   1.7s
[CV] c1=0.4857855795912908, c2=0.0218567429663494 ....................
[CV]  c1=0.4857855795912908, c2=0.0218567429663494, score=0.889286 -   1.7s
[CV] c1=0.5206076342797333, c2=0.10755650490381193 ...................
[CV]  c1=0.5206076342797333, c2=0.10755650490381193, score=0.887202 -   1.7s
[CV] c1=0.0010708193056450843, c2=0.03028870040797234 ................
[CV]  c1=0.0010708193056450843, c2=0.03028870040797234, score=0.804983 -   1.7s
[CV] c1=0.13424740485424022, c2=0.01830163501091318 ..................
[CV]  c1=0.13424740485424022, c2=0.01830163501091318, score=0.805015 -   1.6s
[CV] c1=0.1195994617622291, c2=0.019907918554847776 ..................
[CV]  c1=0.1195994617622291, c2=0.019907918554847776, score=0.810739 -   1.8s
[CV] c1=0.7769641210538945, c2=0.02452119643657618 ...................
[CV]  c1=0.7769641210538945, c2=0.02452119643657618, score=0.723548 -   1.3s
[CV] c1=0.05001749174507288, c2=0.020037239944531333 .................
[CV]  c1=0.05001749174507288, c2=0.020037239944531333, score=0.813172 -   1.7s
[CV] c1=0.2955573710897318, c2=0.05291433209192858 ...................
[CV]  c1=0.2955573710897318, c2=0.05291433209192858, score=0.866724 -   1.8s
[CV] c1=1.1975035277077326, c2=0.011680398794452712 ..................
[CV]  c1=1.1975035277077326, c2=0.011680398794452712, score=0.631179 -   1.7s
[CV] c1=0.13147016315736373, c2=0.06935587614122277 ..................
[CV]  c1=0.13147016315736373, c2=0.06935587614122277, score=0.850208 -   1.6s
[CV] c1=1.4768665247280195, c2=0.005319329852164965 ..................
[CV]  c1=1.4768665247280195, c2=0.005319329852164965, score=0.623645 -   1.8s
[CV] c1=0.1481732845970468, c2=0.17530324451711202 ...................
[CV]  c1=0.1481732845970468, c2=0.17530324451711202, score=0.850267 -   1.6s
[CV] c1=0.7320822222494103, c2=0.23927081580251577 ...................
[CV]  c1=0.7320822222494103, c2=0.23927081580251577, score=0.700768 -   1.7s
[CV] c1=0.1778725113924758, c2=0.006689622003928694 ..................
[CV]  c1=0.1778725113924758, c2=0.006689622003928694, score=0.894007 -   1.7s
[CV] c1=0.773084430698152, c2=0.011828164640285313 ...................
[CV]  c1=0.773084430698152, c2=0.011828164640285313, score=0.708015 -   1.9s
[CV] c1=0.007262673476503506, c2=0.01043011280645878 .................
[CV]  c1=0.007262673476503506, c2=0.01043011280645878, score=0.842915 -   1.6s
[CV] c1=0.08077783383860558, c2=0.020892341798737883 .................
[CV]  c1=0.08077783383860558, c2=0.020892341798737883, score=0.898500 -   1.7s
[CV] c1=0.5068785901063158, c2=0.003963177378630907 ..................
[CV]  c1=0.5068785901063158, c2=0.003963177378630907, score=0.775140 -   1.7s
[CV] c1=0.45472477134202993, c2=0.04662132172099773 ..................
[CV]  c1=0.45472477134202993, c2=0.04662132172099773, score=0.872659 -   1.7s
[CV] c1=1.1718101120284652, c2=0.006138416773788868 ..................
[CV]  c1=1.1718101120284652, c2=0.006138416773788868, score=0.849911 -   1.6s
[CV] c1=1.2574894880533987, c2=0.0013919305418463113 .................
[CV]  c1=1.2574894880533987, c2=0.0013919305418463113, score=0.852482 -   1.6s
[CV] c1=0.014994152606494048, c2=0.007690078158124735 ................
[CV]  c1=0.014994152606494048, c2=0.007690078158124735, score=0.854801 -   1.6s
[CV] c1=0.1121832558268197, c2=0.10331106265753659 ...................
[CV]  c1=0.1121832558268197, c2=0.10331106265753659, score=0.827512 -   1.8s
[CV] c1=0.27384964958919916, c2=0.002761459769715909 .................
[CV]  c1=0.27384964958919916, c2=0.002761459769715909, score=0.795953 -   1.7s
[CV] c1=0.13732983497858656, c2=0.06050597397551072 ..................
[CV]  c1=0.13732983497858656, c2=0.06050597397551072, score=0.808350 -   1.7s
[CV] c1=0.0658112249521467, c2=0.010376965826453092 ..................
[CV]  c1=0.0658112249521467, c2=0.010376965826453092, score=0.858712 -   1.5s
[CV] c1=0.4896051858544965, c2=0.005992711548350068 ..................
[CV]  c1=0.4896051858544965, c2=0.005992711548350068, score=0.753169 -   1.6s
[CV] c1=0.40929628879926755, c2=0.013010312226252563 .................
[CV]  c1=0.40929628879926755, c2=0.013010312226252563, score=0.840967 -   1.7s
[CV] c1=0.28231306419363317, c2=0.04325959243596138 ..................
[CV]  c1=0.28231306419363317, c2=0.04325959243596138, score=0.821127 -   1.7s
[CV] c1=0.44506621187834466, c2=0.03683916460320648 ..................
[CV]  c1=0.44506621187834466, c2=0.03683916460320648, score=0.864154 -   1.8s
[CV] c1=0.45472477134202993, c2=0.04662132172099773 ..................
[CV]  c1=0.45472477134202993, c2=0.04662132172099773, score=0.786955 -   1.7s
[CV] c1=1.148033517047385, c2=0.054485301842360424 ...................
[CV]  c1=1.148033517047385, c2=0.054485301842360424, score=0.622416 -   1.8s
[CV] c1=1.2574894880533987, c2=0.0013919305418463113 .................
[CV]  c1=1.2574894880533987, c2=0.0013919305418463113, score=0.794406 -   1.7s
[CV] c1=0.657797034705774, c2=0.10030121671071623 ....................
[CV]  c1=0.657797034705774, c2=0.10030121671071623, score=0.797758 -   1.6s
[CV] c1=0.33271619658374124, c2=0.0003048781136972566 ................
[CV]  c1=0.33271619658374124, c2=0.0003048781136972566, score=0.801518 -   1.7s
[CV] c1=0.27384964958919916, c2=0.002761459769715909 .................
[CV]  c1=0.27384964958919916, c2=0.002761459769715909, score=0.853194 -   1.7s
[CV] c1=1.598133273604427, c2=0.021130317067213144 ...................
[CV]  c1=1.598133273604427, c2=0.021130317067213144, score=0.613189 -   1.4s
[CV] c1=0.0658112249521467, c2=0.010376965826453092 ..................
[CV]  c1=0.0658112249521467, c2=0.010376965826453092, score=0.882051 -   1.7s
[CV] c1=0.4896051858544965, c2=0.005992711548350068 ..................
[CV]  c1=0.4896051858544965, c2=0.005992711548350068, score=0.836904 -   1.5s
[CV] c1=0.40929628879926755, c2=0.013010312226252563 .................
[CV]  c1=0.40929628879926755, c2=0.013010312226252563, score=0.844359 -   1.9s
[CV] c1=0.08077783383860558, c2=0.020892341798737883 .................
[CV]  c1=0.08077783383860558, c2=0.020892341798737883, score=0.856458 -   1.6s
[CV] c1=0.5068785901063158, c2=0.003963177378630907 ..................
[CV]  c1=0.5068785901063158, c2=0.003963177378630907, score=0.856812 -   1.8s
[CV] c1=0.07318435119377942, c2=0.0869857413037494 ...................
[CV]  c1=0.07318435119377942, c2=0.0869857413037494, score=0.810739 -   1.8s
[CV] c1=0.8966823221623569, c2=0.030378905887106962 ..................
[CV]  c1=0.8966823221623569, c2=0.030378905887106962, score=0.860305 -   1.8s
[CV] c1=1.0998214505957569, c2=0.011880263411389463 ..................
[CV]  c1=1.0998214505957569, c2=0.011880263411389463, score=0.698857 -   1.7s
[CV] c1=0.40133582394258055, c2=0.05249216322848171 ..................
[CV]  c1=0.40133582394258055, c2=0.05249216322848171, score=0.891462 -   1.6s
[CV] c1=0.8982019779463326, c2=0.10279818858712433 ...................
[CV]  c1=0.8982019779463326, c2=0.10279818858712433, score=0.852901 -   1.7s
[CV] c1=1.1286066126146026, c2=0.006370650837158403 ..................
[CV]  c1=1.1286066126146026, c2=0.006370650837158403, score=0.863787 -   1.6s
[CV] c1=1.598133273604427, c2=0.021130317067213144 ...................
[CV]  c1=1.598133273604427, c2=0.021130317067213144, score=0.770511 -   1.6s
[CV] c1=0.12255692659352559, c2=0.05356511634384864 ..................
[CV]  c1=0.12255692659352559, c2=0.05356511634384864, score=0.850208 -   1.6s
[CV] c1=1.820861345212581, c2=0.022271248898151498 ...................
[CV]  c1=1.820861345212581, c2=0.022271248898151498, score=0.722892 -   1.3s
[CV] c1=0.1852990227723479, c2=0.08369032788465389 ...................
[CV]  c1=0.1852990227723479, c2=0.08369032788465389, score=0.850208 -   1.6s
[CV] c1=0.704381071721342, c2=0.031604325862903626 ...................
[CV]  c1=0.704381071721342, c2=0.031604325862903626, score=0.712127 -   1.8s
[CV] c1=0.10046051995251327, c2=0.031597131431458494 .................
[CV]  c1=0.10046051995251327, c2=0.031597131431458494, score=0.892948 -   1.7s
[CV] c1=0.29760927991836533, c2=0.0345344789444891 ...................
[CV]  c1=0.29760927991836533, c2=0.0345344789444891, score=0.900374 -   1.6s
[CV] c1=1.1718101120284652, c2=0.006138416773788868 ..................
[CV]  c1=1.1718101120284652, c2=0.006138416773788868, score=0.722643 -   1.8s
[CV] c1=1.0998214505957569, c2=0.011880263411389463 ..................
[CV]  c1=1.0998214505957569, c2=0.011880263411389463, score=0.787121 -   1.6s
[CV] c1=0.07717244736067945, c2=0.0950136849321955 ...................
[CV]  c1=0.07717244736067945, c2=0.0950136849321955, score=0.810739 -   1.7s
[CV] c1=1.1756008321717972, c2=0.0595626529227766 ....................
[CV]  c1=1.1756008321717972, c2=0.0595626529227766, score=0.786836 -   1.6s
[CV] c1=0.011765711663886388, c2=0.004487901806342843 ................
[CV]  c1=0.011765711663886388, c2=0.004487901806342843, score=0.802832 -   1.7s
[CV] c1=0.012513768668915556, c2=0.04288920221382173 .................
[CV]  c1=0.012513768668915556, c2=0.04288920221382173, score=0.737334 -   1.3s
[CV] c1=0.0658112249521467, c2=0.010376965826453092 ..................
[CV]  c1=0.0658112249521467, c2=0.010376965826453092, score=0.875059 -   1.7s
[CV] c1=1.820861345212581, c2=0.022271248898151498 ...................
[CV]  c1=1.820861345212581, c2=0.022271248898151498, score=0.816400 -   1.5s
[CV] c1=1.175259979545111, c2=0.02169070462443938 ....................
[CV]  c1=1.175259979545111, c2=0.02169070462443938, score=0.858911 -   1.3s
[CV] c1=0.13187688861992145, c2=0.07833318380274547 ..................
[CV]  c1=0.13187688861992145, c2=0.07833318380274547, score=0.902104 -   1.7s
[CV] c1=1.1791711960193776, c2=0.12263797868957244 ...................
[CV]  c1=1.1791711960193776, c2=0.12263797868957244, score=0.631237 -   1.8s
[CV] c1=0.05001749174507288, c2=0.020037239944531333 .................
[CV]  c1=0.05001749174507288, c2=0.020037239944531333, score=0.896230 -   1.7s
[CV] c1=0.2955573710897318, c2=0.05291433209192858 ...................
[CV]  c1=0.2955573710897318, c2=0.05291433209192858, score=0.743561 -   1.4s
[CV] c1=0.6504605126367465, c2=0.005563115922072999 ..................
[CV]  c1=0.6504605126367465, c2=0.005563115922072999, score=0.888875 -   1.6s
[CV] c1=0.1053882018885364, c2=0.0029077646757299266 .................
[CV]  c1=0.1053882018885364, c2=0.0029077646757299266, score=0.745855 -   1.4s
[CV] c1=0.657797034705774, c2=0.10030121671071623 ....................
[CV]  c1=0.657797034705774, c2=0.10030121671071623, score=0.855384 -   1.7s
[CV] c1=1.1756008321717972, c2=0.0595626529227766 ....................
[CV]  c1=1.1756008321717972, c2=0.0595626529227766, score=0.633341 -   1.9s
[CV] c1=1.1286066126146026, c2=0.006370650837158403 ..................
[CV]  c1=1.1286066126146026, c2=0.006370650837158403, score=0.678967 -   1.4s
[CV] c1=0.13732983497858656, c2=0.06050597397551072 ..................
[CV]  c1=0.13732983497858656, c2=0.06050597397551072, score=0.855995 -   1.7s
[CV] c1=0.12255692659352559, c2=0.05356511634384864 ..................
[CV]  c1=0.12255692659352559, c2=0.05356511634384864, score=0.897326 -   1.7s
[CV] c1=1.820861345212581, c2=0.022271248898151498 ...................
[CV]  c1=1.820861345212581, c2=0.022271248898151498, score=0.578301 -   1.4s
[CV] c1=0.007262673476503506, c2=0.01043011280645878 .................
[CV]  c1=0.007262673476503506, c2=0.01043011280645878, score=0.749192 -   1.4s
[CV] c1=0.28231306419363317, c2=0.04325959243596138 ..................
[CV]  c1=0.28231306419363317, c2=0.04325959243596138, score=0.798142 -   1.6s
[CV] c1=0.7769641210538945, c2=0.02452119643657618 ...................
[CV]  c1=0.7769641210538945, c2=0.02452119643657618, score=0.796030 -   1.7s
[CV] c1=0.36893715794001314, c2=0.07322742199079839 ..................
[CV]  c1=0.36893715794001314, c2=0.07322742199079839, score=0.847803 -   1.6s
[CV] c1=0.25002147080466974, c2=0.023060522027549556 .................
[CV]  c1=0.25002147080466974, c2=0.023060522027549556, score=0.756302 -   1.4s
[CV] c1=0.07077011447816227, c2=0.023833985798273817 .................
[CV]  c1=0.07077011447816227, c2=0.023833985798273817, score=0.835470 -   1.8s
[CV] c1=0.13147016315736373, c2=0.06935587614122277 ..................
[CV]  c1=0.13147016315736373, c2=0.06935587614122277, score=0.734533 -   1.4s
[CV] c1=0.5485186376616402, c2=0.019512709262024447 ..................
[CV]  c1=0.5485186376616402, c2=0.019512709262024447, score=0.729561 -   1.4s
[CV] c1=0.8982019779463326, c2=0.10279818858712433 ...................
[CV]  c1=0.8982019779463326, c2=0.10279818858712433, score=0.644165 -   1.3s
[CV] c1=0.011765711663886388, c2=0.004487901806342843 ................
[CV]  c1=0.011765711663886388, c2=0.004487901806342843, score=0.786720 -   1.4s
[CV] c1=0.13732983497858656, c2=0.06050597397551072 ..................
[CV]  c1=0.13732983497858656, c2=0.06050597397551072, score=0.906495 -   1.7s
[CV] c1=0.0658112249521467, c2=0.010376965826453092 ..................
[CV]  c1=0.0658112249521467, c2=0.010376965826453092, score=0.813172 -   1.7s
[CV] c1=0.4896051858544965, c2=0.005992711548350068 ..................
[CV]  c1=0.4896051858544965, c2=0.005992711548350068, score=0.866550 -   1.5s
[CV] c1=0.34553591403907935, c2=0.07300907600096485 ..................
[CV]  c1=0.34553591403907935, c2=0.07300907600096485, score=0.804070 -   1.5s
[CV] c1=0.08032242156179181, c2=0.040420670067771544 .................
[CV]  c1=0.08032242156179181, c2=0.040420670067771544, score=0.748172 -   1.3s
[CV] c1=1.1791711960193776, c2=0.12263797868957244 ...................
[CV]  c1=1.1791711960193776, c2=0.12263797868957244, score=0.842907 -   1.7s
[CV] c1=0.028630377964792113, c2=0.0052807766550979985 ...............
[CV]  c1=0.028630377964792113, c2=0.0052807766550979985, score=0.775887 -   1.4s
[CV] c1=0.29760927991836533, c2=0.0345344789444891 ...................
[CV]  c1=0.29760927991836533, c2=0.0345344789444891, score=0.729895 -   1.4s
[CV] c1=1.1718101120284652, c2=0.006138416773788868 ..................
[CV]  c1=1.1718101120284652, c2=0.006138416773788868, score=0.672618 -   1.4s
[CV] c1=0.9153717828254931, c2=0.005891098185698801 ..................
[CV]  c1=0.9153717828254931, c2=0.005891098185698801, score=0.823961 -   1.8s
[CV] c1=0.014994152606494048, c2=0.007690078158124735 ................
[CV]  c1=0.014994152606494048, c2=0.007690078158124735, score=0.807172 -   1.7s
[CV] c1=0.1121832558268197, c2=0.10331106265753659 ...................
[CV]  c1=0.1121832558268197, c2=0.10331106265753659, score=0.845247 -   1.6s
[CV] c1=0.08344898720123467, c2=0.009133862462776322 .................
[CV]  c1=0.08344898720123467, c2=0.009133862462776322, score=0.737538 -   1.4s
[CV] c1=0.12095961217986577, c2=0.10163005979269245 ..................
[CV]  c1=0.12095961217986577, c2=0.10163005979269245, score=0.804667 -   1.7s
[CV] c1=0.1778725113924758, c2=0.006689622003928694 ..................
[CV]  c1=0.1778725113924758, c2=0.006689622003928694, score=0.875059 -   1.8s
[CV] c1=0.0010708193056450843, c2=0.03028870040797234 ................
[CV]  c1=0.0010708193056450843, c2=0.03028870040797234, score=0.814282 -   1.7s
[CV] c1=0.40929628879926755, c2=0.013010312226252563 .................
[CV]  c1=0.40929628879926755, c2=0.013010312226252563, score=0.732776 -   1.3s
[CV] c1=0.08032242156179181, c2=0.040420670067771544 .................
[CV]  c1=0.08032242156179181, c2=0.040420670067771544, score=0.850208 -   1.5s
[CV] c1=1.0279241242273025, c2=0.07893330442717779 ...................
[CV]  c1=1.0279241242273025, c2=0.07893330442717779, score=0.650159 -   1.3s
[CV] c1=0.10046051995251327, c2=0.031597131431458494 .................
[CV]  c1=0.10046051995251327, c2=0.031597131431458494, score=0.851657 -   1.7s
[CV] c1=1.407241882824613, c2=0.011201424753352363 ...................
[CV]  c1=1.407241882824613, c2=0.011201424753352363, score=0.620216 -   1.4s
[CV] c1=0.8966823221623569, c2=0.030378905887106962 ..................
[CV]  c1=0.8966823221623569, c2=0.030378905887106962, score=0.687448 -   1.7s
[CV] c1=1.0998214505957569, c2=0.011880263411389463 ..................
[CV]  c1=1.0998214505957569, c2=0.011880263411389463, score=0.633341 -   1.8s
[CV] c1=0.40133582394258055, c2=0.05249216322848171 ..................
[CV]  c1=0.40133582394258055, c2=0.05249216322848171, score=0.730875 -   1.4s
[CV] c1=1.1756008321717972, c2=0.0595626529227766 ....................
[CV]  c1=1.1756008321717972, c2=0.0595626529227766, score=0.853733 -   1.6s
[CV] c1=0.011765711663886388, c2=0.004487901806342843 ................
[CV]  c1=0.011765711663886388, c2=0.004487901806342843, score=0.867736 -   1.7s
[CV] c1=1.598133273604427, c2=0.021130317067213144 ...................
[CV]  c1=1.598133273604427, c2=0.021130317067213144, score=0.631237 -   1.7s
[CV] c1=0.12255692659352559, c2=0.05356511634384864 ..................
[CV]  c1=0.12255692659352559, c2=0.05356511634384864, score=0.883587 -   1.8s
[CV] c1=0.13082096837141183, c2=0.09103980808706078 ..................
[CV]  c1=0.13082096837141183, c2=0.09103980808706078, score=0.723776 -   1.3s
[CV] c1=1.175259979545111, c2=0.02169070462443938 ....................
[CV]  c1=1.175259979545111, c2=0.02169070462443938, score=0.633341 -   1.5s
[CV] c1=0.13187688861992145, c2=0.07833318380274547 ..................
[CV]  c1=0.13187688861992145, c2=0.07833318380274547, score=0.807056 -   2.0s
[CV] c1=3.0327407871326257, c2=0.010180518056776187 ..................
[CV]  c1=3.0327407871326257, c2=0.010180518056776187, score=0.556429 -   1.4s
[CV] c1=0.05001749174507288, c2=0.020037239944531333 .................
[CV]  c1=0.05001749174507288, c2=0.020037239944531333, score=0.858409 -   1.7s
[CV] c1=0.2955573710897318, c2=0.05291433209192858 ...................
[CV]  c1=0.2955573710897318, c2=0.05291433209192858, score=0.853034 -   1.8s
[CV] c1=1.1975035277077326, c2=0.011680398794452712 ..................
[CV]  c1=1.1975035277077326, c2=0.011680398794452712, score=0.850028 -   1.8s
[CV] c1=0.4123127687501914, c2=0.003772892961943774 ..................
[CV]  c1=0.4123127687501914, c2=0.003772892961943774, score=0.717495 -   1.4s
[CV] c1=1.4768665247280195, c2=0.005319329852164965 ..................
[CV]  c1=1.4768665247280195, c2=0.005319329852164965, score=0.610660 -   1.3s
[CV] c1=0.8982019779463326, c2=0.10279818858712433 ...................
[CV]  c1=0.8982019779463326, c2=0.10279818858712433, score=0.691866 -   1.8s
[CV] c1=1.1286066126146026, c2=0.006370650837158403 ..................
[CV]  c1=1.1286066126146026, c2=0.006370650837158403, score=0.729232 -   1.8s
[CV] c1=0.3216766125316198, c2=0.06303692217879223 ...................
[CV]  c1=0.3216766125316198, c2=0.06303692217879223, score=0.743561 -   1.4s
[CV] c1=0.3513116904888251, c2=0.18081962430974935 ...................
[CV]  c1=0.3513116904888251, c2=0.18081962430974935, score=0.705298 -   1.5s
[CV] c1=1.820861345212581, c2=0.022271248898151498 ...................
[CV]  c1=1.820861345212581, c2=0.022271248898151498, score=0.572477 -   1.5s
[CV] c1=1.4764312274087221, c2=0.03545871959720622 ...................
[CV]  c1=1.4764312274087221, c2=0.03545871959720622, score=0.785156 -   1.6s
[CV] c1=0.08173984540593174, c2=0.06867296636689539 ..................
[CV]  c1=0.08173984540593174, c2=0.06867296636689539, score=0.818706 -   1.6s
[CV] c1=0.44506621187834466, c2=0.03683916460320648 ..................
[CV]  c1=0.44506621187834466, c2=0.03683916460320648, score=0.786955 -   1.7s
[CV] c1=0.45472477134202993, c2=0.04662132172099773 ..................
[CV]  c1=0.45472477134202993, c2=0.04662132172099773, score=0.900558 -   1.7s
[CV] c1=1.148033517047385, c2=0.054485301842360424 ...................
[CV]  c1=1.148033517047385, c2=0.054485301842360424, score=0.633341 -   1.6s
[CV] c1=0.3720530533582215, c2=0.029849885781943 .....................
[CV]  c1=0.3720530533582215, c2=0.029849885781943, score=0.847803 -   1.7s
[CV] c1=0.014994152606494048, c2=0.007690078158124735 ................
[CV]  c1=0.014994152606494048, c2=0.007690078158124735, score=0.868003 -   1.8s
[CV] c1=0.33271619658374124, c2=0.0003048781136972566 ................
[CV]  c1=0.33271619658374124, c2=0.0003048781136972566, score=0.853404 -   1.6s
[CV] c1=0.27384964958919916, c2=0.002761459769715909 .................
[CV]  c1=0.27384964958919916, c2=0.002761459769715909, score=0.861604 -   1.7s
[CV] c1=1.598133273604427, c2=0.021130317067213144 ...................
[CV]  c1=1.598133273604427, c2=0.021130317067213144, score=0.834922 -   1.6s
[CV] c1=0.12255692659352559, c2=0.05356511634384864 ..................
[CV]  c1=0.12255692659352559, c2=0.05356511634384864, score=0.810739 -   1.6s
[CV] c1=1.820861345212581, c2=0.022271248898151498 ...................
[CV]  c1=1.820861345212581, c2=0.022271248898151498, score=0.626828 -   1.6s
[CV] c1=1.4764312274087221, c2=0.03545871959720622 ...................
[CV]  c1=1.4764312274087221, c2=0.03545871959720622, score=0.850621 -   1.7s
[CV] c1=0.08173984540593174, c2=0.06867296636689539 ..................
[CV]  c1=0.08173984540593174, c2=0.06867296636689539, score=0.902104 -   1.6s
[CV] c1=0.44506621187834466, c2=0.03683916460320648 ..................
[CV]  c1=0.44506621187834466, c2=0.03683916460320648, score=0.729561 -   1.4s
[CV] c1=0.39379502754702506, c2=0.026972833432054595 .................
[CV]  c1=0.39379502754702506, c2=0.026972833432054595, score=0.786955 -   1.8s
[CV] c1=0.25002147080466974, c2=0.023060522027549556 .................
[CV]  c1=0.25002147080466974, c2=0.023060522027549556, score=0.912049 -   1.6s
[CV] c1=0.07432561229277224, c2=0.014200579780550365 .................
[CV]  c1=0.07432561229277224, c2=0.014200579780550365, score=0.757964 -   1.3s
[CV] c1=0.13147016315736373, c2=0.06935587614122277 ..................
[CV]  c1=0.13147016315736373, c2=0.06935587614122277, score=0.906495 -   1.7s
[CV] c1=0.5485186376616402, c2=0.019512709262024447 ..................
[CV]  c1=0.5485186376616402, c2=0.019512709262024447, score=0.827415 -   1.6s
[CV] c1=0.2848525788857695, c2=0.21642194281998128 ...................
[CV]  c1=0.2848525788857695, c2=0.21642194281998128, score=0.886229 -   1.7s
[CV] c1=0.6381598863748869, c2=0.015880103547862137 ..................
[CV]  c1=0.6381598863748869, c2=0.015880103547862137, score=0.886518 -   1.7s
[CV] c1=0.3216766125316198, c2=0.06303692217879223 ...................
[CV]  c1=0.3216766125316198, c2=0.06303692217879223, score=0.897598 -   1.6s
[CV] c1=0.030393691236080225, c2=0.03756904476596143 .................
[CV]  c1=0.030393691236080225, c2=0.03756904476596143, score=0.747683 -   1.4s
[CV] c1=0.13082096837141183, c2=0.09103980808706078 ..................
[CV]  c1=0.13082096837141183, c2=0.09103980808706078, score=0.896900 -   1.4s
[CV] c1=0.03731304669298205, c2=0.01988274113519642 ..................
[CV]  c1=0.03731304669298205, c2=0.01988274113519642, score=0.762911 -   1.0s
[CV] c1=0.2553754385380456, c2=0.058695044950555234 ..................
[CV]  c1=0.2553754385380456, c2=0.058695044950555234, score=0.912049 -   1.7s
[CV] c1=0.29939645845072976, c2=0.03990683120816598 ..................
[CV]  c1=0.29939645845072976, c2=0.03990683120816598, score=0.899366 -   1.7s
[CV] c1=0.10046051995251327, c2=0.031597131431458494 .................
[CV]  c1=0.10046051995251327, c2=0.031597131431458494, score=0.744470 -   1.4s
[CV] c1=0.07318435119377942, c2=0.0869857413037494 ...................
[CV]  c1=0.07318435119377942, c2=0.0869857413037494, score=0.728877 -   1.4s
[CV] c1=1.148033517047385, c2=0.054485301842360424 ...................
[CV]  c1=1.148033517047385, c2=0.054485301842360424, score=0.856496 -   1.7s
[CV] c1=0.3720530533582215, c2=0.029849885781943 .....................
[CV]  c1=0.3720530533582215, c2=0.029849885781943, score=0.866724 -   1.8s
[CV] c1=0.657797034705774, c2=0.10030121671071623 ....................
[CV]  c1=0.657797034705774, c2=0.10030121671071623, score=0.713734 -   1.7s
[CV] c1=0.33271619658374124, c2=0.0003048781136972566 ................
[CV]  c1=0.33271619658374124, c2=0.0003048781136972566, score=0.843908 -   1.8s
[CV] c1=0.011765711663886388, c2=0.004487901806342843 ................
[CV]  c1=0.011765711663886388, c2=0.004487901806342843, score=0.840696 -   1.6s
[CV] c1=1.598133273604427, c2=0.021130317067213144 ...................
[CV]  c1=1.598133273604427, c2=0.021130317067213144, score=0.623645 -   1.9s
[CV] c1=0.3513116904888251, c2=0.18081962430974935 ...................
[CV]  c1=0.3513116904888251, c2=0.18081962430974935, score=0.839754 -   1.8s
[CV] c1=0.20269299504962374, c2=0.21353657063375878 ..................
[CV]  c1=0.20269299504962374, c2=0.21353657063375878, score=0.719459 -   1.1s
[CV] c1=1.4764312274087221, c2=0.03545871959720622 ...................
[CV]  c1=1.4764312274087221, c2=0.03545871959720622, score=0.575387 -   1.7s
[CV] c1=0.08077783383860558, c2=0.020892341798737883 .................
[CV]  c1=0.08077783383860558, c2=0.020892341798737883, score=0.810739 -   1.8s
[CV] c1=0.2789346445916407, c2=0.05953273030696931 ...................
[CV]  c1=0.2789346445916407, c2=0.05953273030696931, score=0.754539 -   1.3s
[CV] c1=0.7941724659778623, c2=0.03084398409488273 ...................
[CV]  c1=0.7941724659778623, c2=0.03084398409488273, score=0.831950 -   1.7s
[CV] c1=1.148033517047385, c2=0.054485301842360424 ...................
[CV]  c1=1.148033517047385, c2=0.054485301842360424, score=0.654056 -   1.3s
[CV] c1=0.07432561229277224, c2=0.014200579780550365 .................
[CV]  c1=0.07432561229277224, c2=0.014200579780550365, score=0.856458 -   1.5s
[CV] c1=0.4123127687501914, c2=0.003772892961943774 ..................
[CV]  c1=0.4123127687501914, c2=0.003772892961943774, score=0.884098 -   1.6s
[CV] c1=0.5167583118284114, c2=0.00025984825549170193 ................
[CV]  c1=0.5167583118284114, c2=0.00025984825549170193, score=0.719022 -   1.4s
[CV] c1=0.2848525788857695, c2=0.21642194281998128 ...................
[CV]  c1=0.2848525788857695, c2=0.21642194281998128, score=0.834983 -   1.6s
[CV] c1=0.6381598863748869, c2=0.015880103547862137 ..................
[CV]  c1=0.6381598863748869, c2=0.015880103547862137, score=0.843215 -   1.7s
[CV] c1=0.034919670472553406, c2=0.08104080788765511 .................
[CV]  c1=0.034919670472553406, c2=0.08104080788765511, score=0.741115 -   1.4s
[CV] c1=0.030393691236080225, c2=0.03756904476596143 .................
[CV]  c1=0.030393691236080225, c2=0.03756904476596143, score=0.891838 -   1.6s
[CV] c1=0.13082096837141183, c2=0.09103980808706078 ..................
[CV]  c1=0.13082096837141183, c2=0.09103980808706078, score=0.850208 -   1.3s
[CV] c1=0.13424740485424022, c2=0.01830163501091318 ..................
[CV]  c1=0.13424740485424022, c2=0.01830163501091318, score=0.856458 -   1.5s
[CV] c1=0.1195994617622291, c2=0.019907918554847776 ..................
[CV]  c1=0.1195994617622291, c2=0.019907918554847776, score=0.749910 -   1.4s
[CV] c1=1.0279241242273025, c2=0.07893330442717779 ...................
[CV]  c1=1.0279241242273025, c2=0.07893330442717779, score=0.856932 -   1.6s
[CV] c1=0.028630377964792113, c2=0.0052807766550979985 ...............
[CV]  c1=0.028630377964792113, c2=0.0052807766550979985, score=0.803219 -   1.8s
[CV] c1=0.2955573710897318, c2=0.05291433209192858 ...................
[CV]  c1=0.2955573710897318, c2=0.05291433209192858, score=0.800732 -   1.7s
[CV] c1=0.07077011447816227, c2=0.023833985798273817 .................
[CV]  c1=0.07077011447816227, c2=0.023833985798273817, score=0.856458 -   1.5s
[CV] c1=0.1780656687761986, c2=0.03245017409484223 ...................
[CV]  c1=0.1780656687761986, c2=0.03245017409484223, score=0.901717 -   1.6s
[CV] c1=0.40133582394258055, c2=0.05249216322848171 ..................
[CV]  c1=0.40133582394258055, c2=0.05249216322848171, score=0.866724 -   1.8s
[CV] c1=0.2848525788857695, c2=0.21642194281998128 ...................
[CV]  c1=0.2848525788857695, c2=0.21642194281998128, score=0.722487 -   1.2s
[CV] c1=0.011765711663886388, c2=0.004487901806342843 ................
[CV]  c1=0.011765711663886388, c2=0.004487901806342843, score=0.829681 -   1.7s
[CV] c1=0.012513768668915556, c2=0.04288920221382173 .................
[CV]  c1=0.012513768668915556, c2=0.04288920221382173, score=0.818706 -   1.7s
[CV] c1=0.3513116904888251, c2=0.18081962430974935 ...................
[CV]  c1=0.3513116904888251, c2=0.18081962430974935, score=0.822863 -   1.6s
[CV] c1=0.13082096837141183, c2=0.09103980808706078 ..................
[CV]  c1=0.13082096837141183, c2=0.09103980808706078, score=0.808350 -   1.4s
[CV] c1=1.4764312274087221, c2=0.03545871959720622 ...................
[CV]  c1=1.4764312274087221, c2=0.03545871959720622, score=0.620300 -   1.4s
[CV] c1=0.1195994617622291, c2=0.019907918554847776 ..................
[CV]  c1=0.1195994617622291, c2=0.019907918554847776, score=0.856458 -   1.6s
[CV] c1=3.0327407871326257, c2=0.010180518056776187 ..................
[CV]  c1=3.0327407871326257, c2=0.010180518056776187, score=0.602796 -   1.7s
[CV] c1=0.39379502754702506, c2=0.026972833432054595 .................
[CV]  c1=0.39379502754702506, c2=0.026972833432054595, score=0.858217 -   1.6s
[CV] c1=0.034950850263229354, c2=0.08302887035473355 .................
[CV]  c1=0.034950850263229354, c2=0.08302887035473355, score=0.818706 -   1.7s
[CV] c1=0.07432561229277224, c2=0.014200579780550365 .................
[CV]  c1=0.07432561229277224, c2=0.014200579780550365, score=0.897572 -   1.7s
[CV] c1=0.4123127687501914, c2=0.003772892961943774 ..................
[CV]  c1=0.4123127687501914, c2=0.003772892961943774, score=0.862189 -   1.7s
[CV] c1=1.4386153637509826, c2=0.047288383724964925 ..................
[CV]  c1=1.4386153637509826, c2=0.047288383724964925, score=0.623648 -   1.4s
[CV] c1=0.1481732845970468, c2=0.17530324451711202 ...................
[CV]  c1=0.1481732845970468, c2=0.17530324451711202, score=0.905900 -   1.7s
[CV] c1=0.7320822222494103, c2=0.23927081580251577 ...................
[CV]  c1=0.7320822222494103, c2=0.23927081580251577, score=0.670345 -   1.3s
[CV] c1=0.3216766125316198, c2=0.06303692217879223 ...................
[CV]  c1=0.3216766125316198, c2=0.06303692217879223, score=0.804465 -   1.8s
[CV] c1=0.08620902898945007, c2=0.046518730633344524 .................
[CV]  c1=0.08620902898945007, c2=0.046518730633344524, score=0.742022 -   1.4s
[CV] c1=0.20269299504962374, c2=0.21353657063375878 ..................
[CV]  c1=0.20269299504962374, c2=0.21353657063375878, score=0.893605 -   1.3s
[CV] c1=0.13424740485424022, c2=0.01830163501091318 ..................
[CV]  c1=0.13424740485424022, c2=0.01830163501091318, score=0.862888 -   1.7s
[CV] c1=0.28231306419363317, c2=0.04325959243596138 ..................
[CV]  c1=0.28231306419363317, c2=0.04325959243596138, score=0.847803 -   1.8s
[CV] c1=0.44506621187834466, c2=0.03683916460320648 ..................
[CV]  c1=0.44506621187834466, c2=0.03683916460320648, score=0.838554 -   1.6s
[CV] c1=0.7941724659778623, c2=0.03084398409488273 ...................
[CV]  c1=0.7941724659778623, c2=0.03084398409488273, score=0.716071 -   1.4s
[CV] c1=0.034950850263229354, c2=0.08302887035473355 .................
[CV]  c1=0.034950850263229354, c2=0.08302887035473355, score=0.834435 -   1.7s
[CV] c1=0.07432561229277224, c2=0.014200579780550365 .................
[CV]  c1=0.07432561229277224, c2=0.014200579780550365, score=0.810739 -   1.6s
[CV] c1=0.4123127687501914, c2=0.003772892961943774 ..................
[CV]  c1=0.4123127687501914, c2=0.003772892961943774, score=0.790469 -   1.7s
[CV] c1=0.5167583118284114, c2=0.00025984825549170193 ................
[CV]  c1=0.5167583118284114, c2=0.00025984825549170193, score=0.856812 -   1.7s
[CV] c1=0.01755454712502546, c2=0.030353827312627105 .................
[CV]  c1=0.01755454712502546, c2=0.030353827312627105, score=0.755483 -   1.4s
[CV] c1=0.361786682525782, c2=0.00891426326856356 ....................
[CV]  c1=0.361786682525782, c2=0.00891426326856356, score=0.803529 -   1.8s
[CV] c1=0.46696013102071426, c2=0.11471994868295506 ..................
[CV]  c1=0.46696013102071426, c2=0.11471994868295506, score=0.692543 -   1.3s
[CV] c1=0.030393691236080225, c2=0.03756904476596143 .................
[CV]  c1=0.030393691236080225, c2=0.03756904476596143, score=0.868003 -   1.8s
[CV] c1=0.5095948806565719, c2=0.17625987647370917 ...................
[CV]  c1=0.5095948806565719, c2=0.17625987647370917, score=0.722479 -   1.1s
[CV] c1=0.03731304669298205, c2=0.01988274113519642 ..................
[CV]  c1=0.03731304669298205, c2=0.01988274113519642, score=0.813172 -   1.2s
[CV] c1=0.2553754385380456, c2=0.058695044950555234 ..................
[CV]  c1=0.2553754385380456, c2=0.058695044950555234, score=0.798358 -   1.8s
[CV] c1=0.29939645845072976, c2=0.03990683120816598 ..................
[CV]  c1=0.29939645845072976, c2=0.03990683120816598, score=0.853034 -   1.6s
[CV] c1=0.10046051995251327, c2=0.031597131431458494 .................
[CV]  c1=0.10046051995251327, c2=0.031597131431458494, score=0.850208 -   1.7s
[CV] c1=1.407241882824613, c2=0.011201424753352363 ...................
[CV]  c1=1.407241882824613, c2=0.011201424753352363, score=0.831923 -   1.9s
[CV] c1=0.6504605126367465, c2=0.005563115922072999 ..................
[CV]  c1=0.6504605126367465, c2=0.005563115922072999, score=0.834866 -   1.7s
[CV] c1=0.1780656687761986, c2=0.03245017409484223 ...................
[CV]  c1=0.1780656687761986, c2=0.03245017409484223, score=0.733480 -   1.3s
[CV] c1=0.07717244736067945, c2=0.0950136849321955 ...................
[CV]  c1=0.07717244736067945, c2=0.0950136849321955, score=0.823928 -   1.8s
[CV] c1=0.8982019779463326, c2=0.10279818858712433 ...................
[CV]  c1=0.8982019779463326, c2=0.10279818858712433, score=0.774923 -   1.6s
[CV] c1=1.1286066126146026, c2=0.006370650837158403 ..................
[CV]  c1=1.1286066126146026, c2=0.006370650837158403, score=0.779454 -   1.6s
[CV] c1=0.012513768668915556, c2=0.04288920221382173 .................
[CV]  c1=0.012513768668915556, c2=0.04288920221382173, score=0.854407 -   1.6s
[CV] c1=0.3513116904888251, c2=0.18081962430974935 ...................
[CV]  c1=0.3513116904888251, c2=0.18081962430974935, score=0.769801 -   1.8s
[CV] c1=0.13082096837141183, c2=0.09103980808706078 ..................
[CV]  c1=0.13082096837141183, c2=0.09103980808706078, score=0.821616 -   1.4s
[CV] c1=1.175259979545111, c2=0.02169070462443938 ....................
[CV]  c1=1.175259979545111, c2=0.02169070462443938, score=0.695519 -   1.7s
[CV] c1=0.08032242156179181, c2=0.040420670067771544 .................
[CV]  c1=0.08032242156179181, c2=0.040420670067771544, score=0.835470 -   1.7s
[CV] c1=3.0327407871326257, c2=0.010180518056776187 ..................
[CV]  c1=3.0327407871326257, c2=0.010180518056776187, score=0.616296 -   1.7s
[CV] c1=0.36893715794001314, c2=0.07322742199079839 ..................
[CV]  c1=0.36893715794001314, c2=0.07322742199079839, score=0.736610 -   1.5s
[CV] c1=0.034950850263229354, c2=0.08302887035473355 .................
[CV]  c1=0.034950850263229354, c2=0.08302887035473355, score=0.741115 -   1.3s
[CV] c1=0.07077011447816227, c2=0.023833985798273817 .................
[CV]  c1=0.07077011447816227, c2=0.023833985798273817, score=0.888165 -   1.6s
[CV] c1=0.1053882018885364, c2=0.0029077646757299266 .................
[CV]  c1=0.1053882018885364, c2=0.0029077646757299266, score=0.880719 -   1.7s
[CV] c1=0.5485186376616402, c2=0.019512709262024447 ..................
[CV]  c1=0.5485186376616402, c2=0.019512709262024447, score=0.767854 -   1.8s
[CV] c1=0.429927106684593, c2=0.028281828900289182 ...................
[CV]  c1=0.429927106684593, c2=0.028281828900289182, score=0.887317 -   1.5s
[CV] c1=0.6381598863748869, c2=0.015880103547862137 ..................
[CV]  c1=0.6381598863748869, c2=0.015880103547862137, score=0.719002 -   1.3s
[CV] c1=0.012513768668915556, c2=0.04288920221382173 .................
[CV]  c1=0.012513768668915556, c2=0.04288920221382173, score=0.879649 -   1.6s
[CV] c1=0.3513116904888251, c2=0.18081962430974935 ...................
[CV]  c1=0.3513116904888251, c2=0.18081962430974935, score=0.890698 -   2.3s
[CV] c1=0.5095948806565719, c2=0.17625987647370917 ...................
[CV]  c1=0.5095948806565719, c2=0.17625987647370917, score=0.723598 -   1.2s
[CV] c1=1.175259979545111, c2=0.02169070462443938 ....................
[CV]  c1=1.175259979545111, c2=0.02169070462443938, score=0.647556 -   1.0s
[CV] c1=0.2553754385380456, c2=0.058695044950555234 ..................
[CV]  c1=0.2553754385380456, c2=0.058695044950555234, score=0.754175 -   1.4s
[CV] c1=0.704381071721342, c2=0.031604325862903626 ...................
[CV]  c1=0.704381071721342, c2=0.031604325862903626, score=0.884726 -   1.7s
[CV] c1=0.2789346445916407, c2=0.05953273030696931 ...................
[CV]  c1=0.2789346445916407, c2=0.05953273030696931, score=0.853034 -   1.7s
[CV] c1=0.07318435119377942, c2=0.0869857413037494 ...................
[CV]  c1=0.07318435119377942, c2=0.0869857413037494, score=0.854407 -   1.7s
[CV] c1=1.1718101120284652, c2=0.006138416773788868 ..................
[CV]  c1=1.1718101120284652, c2=0.006138416773788868, score=0.794194 -   1.6s
[CV] c1=1.2574894880533987, c2=0.0013919305418463113 .................
[CV]  c1=1.2574894880533987, c2=0.0013919305418463113, score=0.722643 -   1.9s
[CV] c1=0.07717244736067945, c2=0.0950136849321955 ...................
[CV]  c1=0.07717244736067945, c2=0.0950136849321955, score=0.852159 -   1.7s
[CV] c1=1.1756008321717972, c2=0.0595626529227766 ....................
[CV]  c1=1.1756008321717972, c2=0.0595626529227766, score=0.670675 -   1.8s
[CV] c1=1.1286066126146026, c2=0.006370650837158403 ..................
[CV]  c1=1.1286066126146026, c2=0.006370650837158403, score=0.646738 -   1.9s
[CV] c1=0.012513768668915556, c2=0.04288920221382173 .................
[CV]  c1=0.012513768668915556, c2=0.04288920221382173, score=0.794611 -   1.8s
[CV] c1=0.030393691236080225, c2=0.03756904476596143 .................
[CV]  c1=0.030393691236080225, c2=0.03756904476596143, score=0.859367 -   1.6s
[CV] c1=0.20269299504962374, c2=0.21353657063375878 ..................
[CV]  c1=0.20269299504962374, c2=0.21353657063375878, score=0.783441 -   1.3s
[CV] c1=0.34553591403907935, c2=0.07300907600096485 ..................
[CV]  c1=0.34553591403907935, c2=0.07300907600096485, score=0.735143 -   1.4s
[CV] c1=0.13187688861992145, c2=0.07833318380274547 ..................
[CV]  c1=0.13187688861992145, c2=0.07833318380274547, score=0.852455 -   1.5s
[CV] c1=1.1791711960193776, c2=0.12263797868957244 ...................
[CV]  c1=1.1791711960193776, c2=0.12263797868957244, score=0.748447 -   1.6s
[CV] c1=0.028630377964792113, c2=0.0052807766550979985 ...............
[CV]  c1=0.028630377964792113, c2=0.0052807766550979985, score=0.817110 -   1.8s
[CV] c1=1.407241882824613, c2=0.011201424753352363 ...................
[CV]  c1=1.407241882824613, c2=0.011201424753352363, score=0.645703 -   1.8s
[CV] c1=0.07077011447816227, c2=0.023833985798273817 .................
[CV]  c1=0.07077011447816227, c2=0.023833985798273817, score=0.813172 -   1.7s
[CV] c1=0.1780656687761986, c2=0.03245017409484223 ...................
[CV]  c1=0.1780656687761986, c2=0.03245017409484223, score=0.845654 -   1.7s
[CV] c1=1.4768665247280195, c2=0.005319329852164965 ..................
[CV]  c1=1.4768665247280195, c2=0.005319329852164965, score=0.831923 -   1.7s
[CV] c1=0.429927106684593, c2=0.028281828900289182 ...................
[CV]  c1=0.429927106684593, c2=0.028281828900289182, score=0.729561 -   1.5s
[CV] c1=0.6381598863748869, c2=0.015880103547862137 ..................
[CV]  c1=0.6381598863748869, c2=0.015880103547862137, score=0.809464 -   1.7s
[CV] c1=0.3216766125316198, c2=0.06303692217879223 ...................
[CV]  c1=0.3216766125316198, c2=0.06303692217879223, score=0.847803 -   1.6s
[CV] c1=0.030393691236080225, c2=0.03756904476596143 .................
[CV]  c1=0.030393691236080225, c2=0.03756904476596143, score=0.818706 -   1.7s
[CV] c1=0.20269299504962374, c2=0.21353657063375878 ..................
[CV]  c1=0.20269299504962374, c2=0.21353657063375878, score=0.848045 -   1.4s
[CV] c1=0.03731304669298205, c2=0.01988274113519642 ..................
[CV]  c1=0.03731304669298205, c2=0.01988274113519642, score=0.884595 -   1.4s
[CV] c1=0.2553754385380456, c2=0.058695044950555234 ..................
[CV]  c1=0.2553754385380456, c2=0.058695044950555234, score=0.853646 -   1.8s
[CV] c1=1.1791711960193776, c2=0.12263797868957244 ...................
[CV]  c1=1.1791711960193776, c2=0.12263797868957244, score=0.618109 -   1.4s
[CV] c1=0.2789346445916407, c2=0.05953273030696931 ...................
[CV]  c1=0.2789346445916407, c2=0.05953273030696931, score=0.834656 -   1.9s
[CV] c1=0.29760927991836533, c2=0.0345344789444891 ...................
[CV]  c1=0.29760927991836533, c2=0.0345344789444891, score=0.804465 -   1.8s
[CV] c1=0.8966823221623569, c2=0.030378905887106962 ..................
[CV]  c1=0.8966823221623569, c2=0.030378905887106962, score=0.831950 -   1.8s
[CV] c1=0.1053882018885364, c2=0.0029077646757299266 .................
[CV]  c1=0.1053882018885364, c2=0.0029077646757299266, score=0.864041 -   1.7s
[CV] c1=0.40133582394258055, c2=0.05249216322848171 ..................
[CV]  c1=0.40133582394258055, c2=0.05249216322848171, score=0.847803 -   1.7s
[CV] c1=0.8982019779463326, c2=0.10279818858712433 ...................
[CV]  c1=0.8982019779463326, c2=0.10279818858712433, score=0.771698 -   1.8s
[CV] c1=0.6381598863748869, c2=0.015880103547862137 ..................
[CV]  c1=0.6381598863748869, c2=0.015880103547862137, score=0.738915 -   1.7s
[CV] c1=0.3216766125316198, c2=0.06303692217879223 ...................
[CV]  c1=0.3216766125316198, c2=0.06303692217879223, score=0.840841 -   2.0s
[CV] c1=0.69390540924282, c2=0.006805216879840948 ....................
[CV]  c1=0.69390540924282, c2=0.006805216879840948, score=0.731498 -   1.4s
[CV] c1=0.20269299504962374, c2=0.21353657063375878 ..................
[CV]  c1=0.20269299504962374, c2=0.21353657063375878, score=0.789548 -   1.3s
[CV] c1=0.03731304669298205, c2=0.01988274113519642 ..................
[CV]  c1=0.03731304669298205, c2=0.01988274113519642, score=0.856458 -   1.3s
[CV] c1=0.2553754385380456, c2=0.058695044950555234 ..................
[CV]  c1=0.2553754385380456, c2=0.058695044950555234, score=0.847803 -   1.9s
[CV] c1=0.29939645845072976, c2=0.03990683120816598 ..................
[CV]  c1=0.29939645845072976, c2=0.03990683120816598, score=0.839408 -   1.8s
[CV] c1=0.028630377964792113, c2=0.0052807766550979985 ...............
[CV]  c1=0.028630377964792113, c2=0.0052807766550979985, score=0.847616 -   1.7s
[CV] c1=0.2955573710897318, c2=0.05291433209192858 ...................
[CV]  c1=0.2955573710897318, c2=0.05291433209192858, score=0.905795 -   1.7s
[CV] c1=0.07077011447816227, c2=0.023833985798273817 .................
[CV]  c1=0.07077011447816227, c2=0.023833985798273817, score=0.765251 -   1.3s
[CV] c1=0.1053882018885364, c2=0.0029077646757299266 .................
[CV]  c1=0.1053882018885364, c2=0.0029077646757299266, score=0.897572 -   1.9s
[CV] c1=0.5485186376616402, c2=0.019512709262024447 ..................
[CV]  c1=0.5485186376616402, c2=0.019512709262024447, score=0.892973 -   1.8s
[CV] c1=0.2848525788857695, c2=0.21642194281998128 ...................
[CV]  c1=0.2848525788857695, c2=0.21642194281998128, score=0.783441 -   1.8s
[CV] c1=0.361786682525782, c2=0.00891426326856356 ....................
[CV]  c1=0.361786682525782, c2=0.00891426326856356, score=0.724933 -   1.6s
[CV] c1=0.034919670472553406, c2=0.08104080788765511 .................
[CV]  c1=0.034919670472553406, c2=0.08104080788765511, score=0.904091 -   1.7s
[CV] c1=0.08620902898945007, c2=0.046518730633344524 .................
[CV]  c1=0.08620902898945007, c2=0.046518730633344524, score=0.899692 -   1.7s
[CV] c1=0.5095948806565719, c2=0.17625987647370917 ...................
[CV]  c1=0.5095948806565719, c2=0.17625987647370917, score=0.875817 -   1.2s
[CV] c1=0.1852990227723479, c2=0.08369032788465389 ...................
[CV]  c1=0.1852990227723479, c2=0.08369032788465389, score=0.840979 -   1.8s
[CV] c1=0.29939645845072976, c2=0.03990683120816598 ..................
[CV]  c1=0.29939645845072976, c2=0.03990683120816598, score=0.741016 -   1.2s
[CV] c1=0.5068785901063158, c2=0.003963177378630907 ..................
[CV]  c1=0.5068785901063158, c2=0.003963177378630907, score=0.845268 -   1.6s
[CV] c1=0.45472477134202993, c2=0.04662132172099773 ..................
[CV]  c1=0.45472477134202993, c2=0.04662132172099773, score=0.863544 -   1.6s
[CV] c1=1.148033517047385, c2=0.054485301842360424 ...................
[CV]  c1=1.148033517047385, c2=0.054485301842360424, score=0.796505 -   1.6s
[CV] c1=0.3720530533582215, c2=0.029849885781943 .....................
[CV]  c1=0.3720530533582215, c2=0.029849885781943, score=0.791001 -   1.8s
[CV] c1=0.657797034705774, c2=0.10030121671071623 ....................
[CV]  c1=0.657797034705774, c2=0.10030121671071623, score=0.727989 -   1.4s
[CV] c1=0.1121832558268197, c2=0.10331106265753659 ...................
[CV]  c1=0.1121832558268197, c2=0.10331106265753659, score=0.727573 -   1.4s
[CV] c1=0.01755454712502546, c2=0.030353827312627105 .................
[CV]  c1=0.01755454712502546, c2=0.030353827312627105, score=0.886239 -   1.7s
[CV] c1=0.12095961217986577, c2=0.10163005979269245 ..................
[CV]  c1=0.12095961217986577, c2=0.10163005979269245, score=0.723776 -   1.3s
[CV] c1=0.034919670472553406, c2=0.08104080788765511 .................
[CV]  c1=0.034919670472553406, c2=0.08104080788765511, score=0.854407 -   1.6s
[CV] c1=0.08620902898945007, c2=0.046518730633344524 .................
[CV]  c1=0.08620902898945007, c2=0.046518730633344524, score=0.818706 -   1.7s
[CV] c1=0.5095948806565719, c2=0.17625987647370917 ...................
[CV]  c1=0.5095948806565719, c2=0.17625987647370917, score=0.858103 -   1.1s
Training done in: 23.764348s
     Saving training model...
        Saving training model done in: 0.013280s
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Prediction done in: 0.039711s