-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run5
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: TrueS4: False
Run variant: 10
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003763s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
           0        1
0      lemma        :
1     postag        :
2   -1:lemma       in
3  -1:postag       IN
4   +1:lemma       m9
5  +1:postag       NN
6   -2:lemma  culture
7  -2:postag      VBN
8   +2:lemma  minimal
9  +2:postag       JJ
--------------------------- FeaturesTest -----------------------------
           0           1
0      lemma  delta-arca
1     postag          NN
2   -1:lemma           _
3  -1:postag          NN
4   +1:lemma           _
5  +1:postag          CD
6   -2:lemma     affyexp
7  -2:postag          JJ
8   +2:lemma     glucose
9  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.1696329742547926, c2=0.04135297078646044 ...................
[CV]  c1=0.1696329742547926, c2=0.04135297078646044, score=0.899260 -   1.0s
[CV] c1=0.3686078809178524, c2=0.07959938657642629 ...................
[CV]  c1=0.3686078809178524, c2=0.07959938657642629, score=0.679285 -   1.0s
[CV] c1=0.695847032347351, c2=0.15508853331274391 ....................
[CV]  c1=0.695847032347351, c2=0.15508853331274391, score=0.768424 -   1.1s
[CV] c1=0.2901153180618701, c2=0.12941474953578821 ...................
[CV]  c1=0.2901153180618701, c2=0.12941474953578821, score=0.759523 -   1.3s
[CV] c1=0.04860942034216158, c2=0.020519759446348124 .................
[CV]  c1=0.04860942034216158, c2=0.020519759446348124, score=0.760510 -   1.4s
[CV] c1=0.20322891265957033, c2=0.011401151951481572 .................
[CV]  c1=0.20322891265957033, c2=0.011401151951481572, score=0.803391 -   1.4s
[CV] c1=0.2089755585034566, c2=0.037384812021492 .....................
[CV]  c1=0.2089755585034566, c2=0.037384812021492, score=0.803391 -   1.4s
[CV] c1=0.514873247982261, c2=0.19702348273600812 ....................
[CV]  c1=0.514873247982261, c2=0.19702348273600812, score=0.831319 -   1.3s
[CV] c1=0.3328616881331723, c2=0.043010340461932556 ..................
[CV]  c1=0.3328616881331723, c2=0.043010340461932556, score=0.862085 -   1.3s
[CV] c1=1.169884465947651, c2=0.07826800705786718 ....................
[CV]  c1=1.169884465947651, c2=0.07826800705786718, score=0.591796 -   1.1s
[CV] c1=0.5666729091495161, c2=0.02388521181144483 ...................
[CV]  c1=0.5666729091495161, c2=0.02388521181144483, score=0.720769 -   1.1s
[CV] c1=0.5696881398084499, c2=0.026367599283794063 ..................
[CV]  c1=0.5696881398084499, c2=0.026367599283794063, score=0.713036 -   1.3s
[CV] c1=0.01373657533105717, c2=0.033405169210396615 .................
[CV]  c1=0.01373657533105717, c2=0.033405169210396615, score=0.857738 -   1.2s
[CV] c1=0.07470820962589321, c2=0.020192381588054743 .................
[CV]  c1=0.07470820962589321, c2=0.020192381588054743, score=0.874011 -   1.2s
[CV] c1=0.242715989487672, c2=0.12193991780903397 ....................
[CV]  c1=0.242715989487672, c2=0.12193991780903397, score=0.840662 -   1.2s
[CV] c1=0.3085896326939571, c2=0.023096114900154004 ..................
[CV]  c1=0.3085896326939571, c2=0.023096114900154004, score=0.865898 -   1.2s
[CV] c1=0.9497814264150702, c2=0.003890470523893811 ..................
[CV]  c1=0.9497814264150702, c2=0.003890470523893811, score=0.633279 -   1.3s
[CV] c1=0.8410694420675764, c2=0.04672121230555169 ...................
[CV]  c1=0.8410694420675764, c2=0.04672121230555169, score=0.669934 -   1.3s
[CV] c1=1.203640341822723, c2=0.021124241438590645 ...................
[CV]  c1=1.203640341822723, c2=0.021124241438590645, score=0.599884 -   1.3s
[CV] c1=0.07489174382375115, c2=0.10731815891484045 ..................
[CV]  c1=0.07489174382375115, c2=0.10731815891484045, score=0.787131 -   1.3s
[CV] c1=0.36946937516097805, c2=0.04925109899857319 ..................
[CV]  c1=0.36946937516097805, c2=0.04925109899857319, score=0.899958 -   1.2s
[CV] c1=0.46379965177634086, c2=0.07446842239014999 ..................
[CV]  c1=0.46379965177634086, c2=0.07446842239014999, score=0.694487 -   0.9s
[CV] c1=0.5666729091495161, c2=0.02388521181144483 ...................
[CV]  c1=0.5666729091495161, c2=0.02388521181144483, score=0.874628 -   1.3s
[CV] c1=0.24675877081882688, c2=0.00884865409052432 ..................
[CV]  c1=0.24675877081882688, c2=0.00884865409052432, score=0.895911 -   1.2s
[CV] c1=0.01373657533105717, c2=0.033405169210396615 .................
[CV]  c1=0.01373657533105717, c2=0.033405169210396615, score=0.881212 -   1.2s
[CV] c1=0.07470820962589321, c2=0.020192381588054743 .................
[CV]  c1=0.07470820962589321, c2=0.020192381588054743, score=0.801856 -   1.3s
[CV] c1=0.5240894267777215, c2=0.062089681018159475 ..................
[CV]  c1=0.5240894267777215, c2=0.062089681018159475, score=0.815347 -   1.2s
[CV] c1=0.586273316957788, c2=0.0006544726723583885 ..................
[CV]  c1=0.586273316957788, c2=0.0006544726723583885, score=0.835847 -   1.1s
[CV] c1=0.12592880250555394, c2=0.033545019558750104 .................
[CV]  c1=0.12592880250555394, c2=0.033545019558750104, score=0.696311 -   1.1s
[CV] c1=0.8440709501985852, c2=0.05584389997097941 ...................
[CV]  c1=0.8440709501985852, c2=0.05584389997097941, score=0.860118 -   1.3s
[CV] c1=0.08551115880267557, c2=0.002552786914346795 .................
[CV]  c1=0.08551115880267557, c2=0.002552786914346795, score=0.804983 -   1.3s
[CV] c1=0.07713950347630423, c2=0.13515943314969545 ..................
[CV]  c1=0.07713950347630423, c2=0.13515943314969545, score=0.782395 -   1.3s
[CV] c1=0.3328616881331723, c2=0.043010340461932556 ..................
[CV]  c1=0.3328616881331723, c2=0.043010340461932556, score=0.905593 -   1.3s
[CV] c1=1.5091134465592362, c2=0.05665810200091283 ...................
[CV]  c1=1.5091134465592362, c2=0.05665810200091283, score=0.617331 -   1.2s
[CV] c1=0.5666729091495161, c2=0.02388521181144483 ...................
[CV]  c1=0.5666729091495161, c2=0.02388521181144483, score=0.817289 -   1.2s
[CV] c1=0.24675877081882688, c2=0.00884865409052432 ..................
[CV]  c1=0.24675877081882688, c2=0.00884865409052432, score=0.867909 -   1.2s
[CV] c1=1.2588364149880353, c2=0.033213043320241296 ..................
[CV]  c1=1.2588364149880353, c2=0.033213043320241296, score=0.755597 -   1.2s
[CV] c1=0.2085739095999278, c2=0.07372543064292818 ...................
[CV]  c1=0.2085739095999278, c2=0.07372543064292818, score=0.842635 -   1.4s
[CV] c1=0.5240894267777215, c2=0.062089681018159475 ..................
[CV]  c1=0.5240894267777215, c2=0.062089681018159475, score=0.713036 -   1.3s
[CV] c1=0.03636666629961213, c2=0.044307458024452295 .................
[CV]  c1=0.03636666629961213, c2=0.044307458024452295, score=0.879215 -   1.3s
[CV] c1=1.3950594496266735, c2=0.07126324562944657 ...................
[CV]  c1=1.3950594496266735, c2=0.07126324562944657, score=0.546901 -   1.3s
[CV] c1=0.1666611990822612, c2=0.054953987561154806 ..................
[CV]  c1=0.1666611990822612, c2=0.054953987561154806, score=0.694387 -   1.0s
[CV] c1=1.203640341822723, c2=0.021124241438590645 ...................
[CV]  c1=1.203640341822723, c2=0.021124241438590645, score=0.635444 -   1.3s
[CV] c1=0.514873247982261, c2=0.19702348273600812 ....................
[CV]  c1=0.514873247982261, c2=0.19702348273600812, score=0.774951 -   1.2s
[CV] c1=0.33079918178515316, c2=0.06281960529691237 ..................
[CV]  c1=0.33079918178515316, c2=0.06281960529691237, score=0.682155 -   1.0s
[CV] c1=0.7074474802724238, c2=0.011095671644595314 ..................
[CV]  c1=0.7074474802724238, c2=0.011095671644595314, score=0.681380 -   1.3s
[CV] c1=0.1942970342867447, c2=0.12033549683733336 ...................
[CV]  c1=0.1942970342867447, c2=0.12033549683733336, score=0.767103 -   1.3s
[CV] c1=0.24675877081882688, c2=0.00884865409052432 ..................
[CV]  c1=0.24675877081882688, c2=0.00884865409052432, score=0.795741 -   1.2s
[CV] c1=0.1696329742547926, c2=0.04135297078646044 ...................
[CV]  c1=0.1696329742547926, c2=0.04135297078646044, score=0.860111 -   1.1s
[CV] c1=0.3686078809178524, c2=0.07959938657642629 ...................
[CV]  c1=0.3686078809178524, c2=0.07959938657642629, score=0.794739 -   1.3s
[CV] c1=0.26765997396784796, c2=0.013688650621345416 .................
[CV]  c1=0.26765997396784796, c2=0.013688650621345416, score=0.793437 -   1.3s
[CV] c1=0.3085896326939571, c2=0.023096114900154004 ..................
[CV]  c1=0.3085896326939571, c2=0.023096114900154004, score=0.793437 -   1.3s
[CV] c1=0.12592880250555394, c2=0.033545019558750104 .................
[CV]  c1=0.12592880250555394, c2=0.033545019558750104, score=0.874011 -   1.3s
[CV] c1=0.8410694420675764, c2=0.04672121230555169 ...................
[CV]  c1=0.8410694420675764, c2=0.04672121230555169, score=0.801857 -   1.2s
[CV] c1=1.203640341822723, c2=0.021124241438590645 ...................
[CV]  c1=1.203640341822723, c2=0.021124241438590645, score=0.773058 -   1.3s
[CV] c1=0.07489174382375115, c2=0.10731815891484045 ..................
[CV]  c1=0.07489174382375115, c2=0.10731815891484045, score=0.746341 -   1.0s
[CV] c1=0.09874416903658267, c2=0.11774338070484694 ..................
[CV]  c1=0.09874416903658267, c2=0.11774338070484694, score=0.800192 -   1.4s
[CV] c1=1.169884465947651, c2=0.07826800705786718 ....................
[CV]  c1=1.169884465947651, c2=0.07826800705786718, score=0.856058 -   1.2s
[CV] c1=0.009440266121323438, c2=0.022693157599984713 ................
[CV]  c1=0.009440266121323438, c2=0.022693157599984713, score=0.742029 -   1.0s
[CV] c1=0.5696881398084499, c2=0.026367599283794063 ..................
[CV]  c1=0.5696881398084499, c2=0.026367599283794063, score=0.773680 -   1.3s
[CV] c1=0.09463167907556204, c2=0.02802148374975995 ..................
[CV]  c1=0.09463167907556204, c2=0.02802148374975995, score=0.879215 -   1.3s
[CV] c1=0.6561164365733952, c2=0.030756275812340278 ..................
[CV]  c1=0.6561164365733952, c2=0.030756275812340278, score=0.701666 -   1.3s
[CV] c1=0.2901153180618701, c2=0.12941474953578821 ...................
[CV]  c1=0.2901153180618701, c2=0.12941474953578821, score=0.858952 -   1.3s
[CV] c1=0.04860942034216158, c2=0.020519759446348124 .................
[CV]  c1=0.04860942034216158, c2=0.020519759446348124, score=0.713364 -   1.0s
[CV] c1=0.3442631006849691, c2=0.053767323951739124 ..................
[CV]  c1=0.3442631006849691, c2=0.053767323951739124, score=0.800115 -   1.3s
[CV] c1=1.1727487740929756, c2=0.07425259938391748 ...................
[CV]  c1=1.1727487740929756, c2=0.07425259938391748, score=0.631468 -   1.3s
[CV] c1=0.02913709287257748, c2=0.01826590513631122 ..................
[CV]  c1=0.02913709287257748, c2=0.01826590513631122, score=0.800333 -   1.3s
[CV] c1=0.06509573984589731, c2=0.0065813523164735335 ................
[CV]  c1=0.06509573984589731, c2=0.0065813523164735335, score=0.731656 -   1.0s
[CV] c1=0.36946937516097805, c2=0.04925109899857319 ..................
[CV]  c1=0.36946937516097805, c2=0.04925109899857319, score=0.794739 -   1.3s
[CV] c1=0.19980814623137713, c2=0.133519614544015 ....................
[CV]  c1=0.19980814623137713, c2=0.133519614544015, score=0.707070 -   1.0s
[CV] c1=0.009440266121323438, c2=0.022693157599984713 ................
[CV]  c1=0.009440266121323438, c2=0.022693157599984713, score=0.856243 -   1.1s
[CV] c1=0.24675877081882688, c2=0.00884865409052432 ..................
[CV]  c1=0.24675877081882688, c2=0.00884865409052432, score=0.803391 -   1.2s
[CV] c1=0.01373657533105717, c2=0.033405169210396615 .................
[CV]  c1=0.01373657533105717, c2=0.033405169210396615, score=0.760510 -   1.3s
[CV] c1=0.6895006670521707, c2=0.04001693778399651 ...................
[CV]  c1=0.6895006670521707, c2=0.04001693778399651, score=0.795964 -   1.2s
[CV] c1=0.33466581763772923, c2=0.003974633794399748 .................
[CV]  c1=0.33466581763772923, c2=0.003974633794399748, score=0.722958 -   1.0s
[CV] c1=0.3085896326939571, c2=0.023096114900154004 ..................
[CV]  c1=0.3085896326939571, c2=0.023096114900154004, score=0.803391 -   1.3s
[CV] c1=0.12592880250555394, c2=0.033545019558750104 .................
[CV]  c1=0.12592880250555394, c2=0.033545019558750104, score=0.803391 -   1.3s
[CV] c1=0.23956156091790962, c2=0.08690598984431766 ..................
[CV]  c1=0.23956156091790962, c2=0.08690598984431766, score=0.785386 -   1.3s
[CV] c1=0.029255682090133548, c2=0.023894950060213492 ................
[CV]  c1=0.029255682090133548, c2=0.023894950060213492, score=0.757404 -   1.0s
[CV] c1=0.514873247982261, c2=0.19702348273600812 ....................
[CV]  c1=0.514873247982261, c2=0.19702348273600812, score=0.687072 -   1.3s
[CV] c1=0.33079918178515316, c2=0.06281960529691237 ..................
[CV]  c1=0.33079918178515316, c2=0.06281960529691237, score=0.890968 -   1.2s
[CV] c1=1.169884465947651, c2=0.07826800705786718 ....................
[CV]  c1=1.169884465947651, c2=0.07826800705786718, score=0.715533 -   1.2s
[CV] c1=0.009440266121323438, c2=0.022693157599984713 ................
[CV]  c1=0.009440266121323438, c2=0.022693157599984713, score=0.808818 -   1.3s
[CV] c1=0.13766411247414598, c2=0.03058649876870482 ..................
[CV]  c1=0.13766411247414598, c2=0.03058649876870482, score=0.709340 -   1.0s
[CV] c1=1.2588364149880353, c2=0.033213043320241296 ..................
[CV]  c1=1.2588364149880353, c2=0.033213043320241296, score=0.610293 -   1.0s
[CV] c1=0.17275521119113263, c2=0.012009747664724083 .................
[CV]  c1=0.17275521119113263, c2=0.012009747664724083, score=0.739372 -   1.1s
[CV] c1=0.6975573121407679, c2=0.12113698237033706 ...................
[CV]  c1=0.6975573121407679, c2=0.12113698237033706, score=0.682825 -   1.3s
[CV] c1=0.8891294492970058, c2=0.006223279851231405 ..................
[CV]  c1=0.8891294492970058, c2=0.006223279851231405, score=0.869431 -   1.2s
[CV] c1=0.6547051233522785, c2=0.033738161601165856 ..................
[CV]  c1=0.6547051233522785, c2=0.033738161601165856, score=0.776811 -   1.3s
[CV] c1=1.2547106197094315, c2=0.000907980644216785 ..................
[CV]  c1=1.2547106197094315, c2=0.000907980644216785, score=0.621083 -   1.0s
[CV] c1=0.10821045911389157, c2=0.016632894314089017 .................
[CV]  c1=0.10821045911389157, c2=0.016632894314089017, score=0.865502 -   1.2s
[CV] c1=0.44152516420194204, c2=0.02908298980461939 ..................
[CV]  c1=0.44152516420194204, c2=0.02908298980461939, score=0.873032 -   1.2s
[CV] c1=0.06509573984589731, c2=0.0065813523164735335 ................
[CV]  c1=0.06509573984589731, c2=0.0065813523164735335, score=0.877540 -   1.2s
[CV] c1=0.44200171011967115, c2=0.04162022464879196 ..................
[CV]  c1=0.44200171011967115, c2=0.04162022464879196, score=0.862054 -   1.2s
[CV] c1=0.12255572389456788, c2=0.0005334917647389978 ................
[CV]  c1=0.12255572389456788, c2=0.0005334917647389978, score=0.731756 -   1.0s
[CV] c1=1.8265774455931465, c2=0.015828798350468364 ..................
[CV]  c1=1.8265774455931465, c2=0.015828798350468364, score=0.599016 -   1.3s
[CV] c1=0.10489226937876346, c2=0.007256525557225973 .................
[CV]  c1=0.10489226937876346, c2=0.007256525557225973, score=0.732397 -   1.0s
[CV] c1=0.07691810961337027, c2=0.0439568715381107 ...................
[CV]  c1=0.07691810961337027, c2=0.0439568715381107, score=0.770687 -   1.4s
[CV] c1=0.6561164365733952, c2=0.030756275812340278 ..................
[CV]  c1=0.6561164365733952, c2=0.030756275812340278, score=0.868541 -   1.2s
[CV] c1=0.23652416979106017, c2=0.13046879806167663 ..................
[CV]  c1=0.23652416979106017, c2=0.13046879806167663, score=0.795155 -   1.3s
[CV] c1=0.6029287484353966, c2=0.009754426280305957 ..................
[CV]  c1=0.6029287484353966, c2=0.009754426280305957, score=0.779023 -   1.3s
[CV] c1=0.3974578884706004, c2=0.1447323415445268 ....................
[CV]  c1=0.3974578884706004, c2=0.1447323415445268, score=0.786398 -   1.2s
[CV] c1=1.1727487740929756, c2=0.07425259938391748 ...................
[CV]  c1=1.1727487740929756, c2=0.07425259938391748, score=0.564932 -   1.3s
[CV] c1=0.44152516420194204, c2=0.02908298980461939 ..................
[CV]  c1=0.44152516420194204, c2=0.02908298980461939, score=0.727446 -   1.0s
[CV] c1=0.5466674633288012, c2=0.014184396148663504 ..................
[CV]  c1=0.5466674633288012, c2=0.014184396148663504, score=0.798014 -   1.3s
[CV] c1=0.18754651777118114, c2=0.05430440796808818 ..................
[CV]  c1=0.18754651777118114, c2=0.05430440796808818, score=0.803391 -   1.3s
[CV] c1=0.12255572389456788, c2=0.0005334917647389978 ................
[CV]  c1=0.12255572389456788, c2=0.0005334917647389978, score=0.874159 -   1.2s
[CV] c1=0.6696539922803751, c2=0.3243079770540161 ....................
[CV]  c1=0.6696539922803751, c2=0.3243079770540161, score=0.812435 -   1.3s
[CV] c1=0.3638944945176659, c2=0.04604204489481762 ...................
[CV]  c1=0.3638944945176659, c2=0.04604204489481762, score=0.719417 -   0.9s
[CV] c1=0.09463167907556204, c2=0.02802148374975995 ..................
[CV]  c1=0.09463167907556204, c2=0.02802148374975995, score=0.812081 -   1.3s
[CV] c1=0.6561164365733952, c2=0.030756275812340278 ..................
[CV]  c1=0.6561164365733952, c2=0.030756275812340278, score=0.795964 -   1.1s
[CV] c1=0.5022065718022247, c2=0.003722686308734355 ..................
[CV]  c1=0.5022065718022247, c2=0.003722686308734355, score=0.728840 -   1.0s
[CV] c1=0.03636666629961213, c2=0.044307458024452295 .................
[CV]  c1=0.03636666629961213, c2=0.044307458024452295, score=0.857738 -   1.2s
[CV] c1=1.3950594496266735, c2=0.07126324562944657 ...................
[CV]  c1=1.3950594496266735, c2=0.07126324562944657, score=0.622844 -   1.3s
[CV] c1=0.23956156091790962, c2=0.08690598984431766 ..................
[CV]  c1=0.23956156091790962, c2=0.08690598984431766, score=0.800115 -   1.3s
[CV] c1=0.029255682090133548, c2=0.023894950060213492 ................
[CV]  c1=0.029255682090133548, c2=0.023894950060213492, score=0.787747 -   1.2s
[CV] c1=0.5466674633288012, c2=0.014184396148663504 ..................
[CV]  c1=0.5466674633288012, c2=0.014184396148663504, score=0.723065 -   1.2s
[CV] c1=0.36946937516097805, c2=0.04925109899857319 ..................
[CV]  c1=0.36946937516097805, c2=0.04925109899857319, score=0.785386 -   1.2s
[CV] c1=0.46379965177634086, c2=0.07446842239014999 ..................
[CV]  c1=0.46379965177634086, c2=0.07446842239014999, score=0.782379 -   1.3s
[CV] c1=1.974202888635447, c2=0.009759479935977929 ...................
[CV]  c1=1.974202888635447, c2=0.009759479935977929, score=0.677213 -   1.2s
[CV] c1=0.10489226937876346, c2=0.007256525557225973 .................
[CV]  c1=0.10489226937876346, c2=0.007256525557225973, score=0.870500 -   1.1s
[CV] c1=1.2588364149880353, c2=0.033213043320241296 ..................
[CV]  c1=1.2588364149880353, c2=0.033213043320241296, score=0.855891 -   1.1s
[CV] c1=0.2085739095999278, c2=0.07372543064292818 ...................
[CV]  c1=0.2085739095999278, c2=0.07372543064292818, score=0.892505 -   1.3s
[CV] c1=0.242715989487672, c2=0.12193991780903397 ....................
[CV]  c1=0.242715989487672, c2=0.12193991780903397, score=0.701658 -   0.9s
[CV] c1=1.8205578271571425, c2=0.04880380214501023 ...................
[CV]  c1=1.8205578271571425, c2=0.04880380214501023, score=0.709219 -   1.1s
[CV] c1=0.6547051233522785, c2=0.033738161601165856 ..................
[CV]  c1=0.6547051233522785, c2=0.033738161601165856, score=0.806048 -   1.2s
[CV] c1=0.8422744461154381, c2=0.16299451373519735 ...................
[CV]  c1=0.8422744461154381, c2=0.16299451373519735, score=0.751090 -   1.2s
[CV] c1=0.10821045911389157, c2=0.016632894314089017 .................
[CV]  c1=0.10821045911389157, c2=0.016632894314089017, score=0.804160 -   1.4s
[CV] c1=2.4111381433970878, c2=0.12310353397283463 ...................
[CV]  c1=2.4111381433970878, c2=0.12310353397283463, score=0.462791 -   1.0s
[CV] c1=0.06509573984589731, c2=0.0065813523164735335 ................
[CV]  c1=0.06509573984589731, c2=0.0065813523164735335, score=0.880483 -   1.2s
[CV] c1=0.44200171011967115, c2=0.04162022464879196 ..................
[CV]  c1=0.44200171011967115, c2=0.04162022464879196, score=0.703529 -   1.0s
[CV] c1=0.46379965177634086, c2=0.07446842239014999 ..................
[CV]  c1=0.46379965177634086, c2=0.07446842239014999, score=0.830149 -   1.2s
[CV] c1=1.8265774455931465, c2=0.015828798350468364 ..................
[CV]  c1=1.8265774455931465, c2=0.015828798350468364, score=0.701794 -   1.1s
[CV] c1=0.13766411247414598, c2=0.03058649876870482 ..................
[CV]  c1=0.13766411247414598, c2=0.03058649876870482, score=0.879215 -   1.2s
[CV] c1=0.09463167907556204, c2=0.02802148374975995 ..................
[CV]  c1=0.09463167907556204, c2=0.02802148374975995, score=0.803391 -   1.3s
[CV] c1=0.6561164365733952, c2=0.030756275812340278 ..................
[CV]  c1=0.6561164365733952, c2=0.030756275812340278, score=0.768760 -   1.3s
[CV] c1=0.2901153180618701, c2=0.12941474953578821 ...................
[CV]  c1=0.2901153180618701, c2=0.12941474953578821, score=0.688221 -   1.0s
[CV] c1=0.13013269228670166, c2=0.15322926241165002 ..................
[CV]  c1=0.13013269228670166, c2=0.15322926241165002, score=0.768202 -   1.3s
[CV] c1=0.3974578884706004, c2=0.1447323415445268 ....................
[CV]  c1=0.3974578884706004, c2=0.1447323415445268, score=0.699542 -   1.3s
[CV] c1=1.1727487740929756, c2=0.07425259938391748 ...................
[CV]  c1=1.1727487740929756, c2=0.07425259938391748, score=0.744820 -   1.1s
[CV] c1=0.02913709287257748, c2=0.01826590513631122 ..................
[CV]  c1=0.02913709287257748, c2=0.01826590513631122, score=0.750120 -   1.0s
[CV] c1=0.07489174382375115, c2=0.10731815891484045 ..................
[CV]  c1=0.07489174382375115, c2=0.10731815891484045, score=0.800192 -   1.3s
[CV] c1=0.36946937516097805, c2=0.04925109899857319 ..................
[CV]  c1=0.36946937516097805, c2=0.04925109899857319, score=0.853158 -   1.2s
[CV] c1=0.46379965177634086, c2=0.07446842239014999 ..................
[CV]  c1=0.46379965177634086, c2=0.07446842239014999, score=0.723065 -   1.3s
[CV] c1=1.974202888635447, c2=0.009759479935977929 ...................
[CV]  c1=1.974202888635447, c2=0.009759479935977929, score=0.515030 -   1.0s
[CV] c1=0.18745261652662643, c2=0.35464664115234495 ..................
[CV]  c1=0.18745261652662643, c2=0.35464664115234495, score=0.721038 -   1.3s
[CV] c1=0.1696329742547926, c2=0.04135297078646044 ...................
[CV]  c1=0.1696329742547926, c2=0.04135297078646044, score=0.709843 -   0.8s
[CV] c1=1.0873800167126972, c2=0.03438164124563988 ...................
[CV]  c1=1.0873800167126972, c2=0.03438164124563988, score=0.774276 -   1.2s
[CV] c1=0.695847032347351, c2=0.15508853331274391 ....................
[CV]  c1=0.695847032347351, c2=0.15508853331274391, score=0.682825 -   1.3s
[CV] c1=1.8205578271571425, c2=0.04880380214501023 ...................
[CV]  c1=1.8205578271571425, c2=0.04880380214501023, score=0.750236 -   1.2s
[CV] c1=0.04860942034216158, c2=0.020519759446348124 .................
[CV]  c1=0.04860942034216158, c2=0.020519759446348124, score=0.855151 -   1.3s
[CV] c1=0.20322891265957033, c2=0.011401151951481572 .................
[CV]  c1=0.20322891265957033, c2=0.011401151951481572, score=0.906707 -   1.3s
[CV] c1=0.23507345037316366, c2=0.01045965846330769 ..................
[CV]  c1=0.23507345037316366, c2=0.01045965846330769, score=0.795741 -   1.4s
[CV] c1=0.2153812524710725, c2=0.023087599724722616 ..................
[CV]  c1=0.2153812524710725, c2=0.023087599724722616, score=0.882970 -   1.4s
[CV] c1=0.48179794918786795, c2=0.003722967636948064 .................
[CV]  c1=0.48179794918786795, c2=0.003722967636948064, score=0.788425 -   1.3s
[CV] c1=0.7074474802724238, c2=0.011095671644595314 ..................
[CV]  c1=0.7074474802724238, c2=0.011095671644595314, score=0.768304 -   1.4s
[CV] c1=0.5666729091495161, c2=0.02388521181144483 ...................
[CV]  c1=0.5666729091495161, c2=0.02388521181144483, score=0.785028 -   1.4s
[CV] c1=0.13766411247414598, c2=0.03058649876870482 ..................
[CV]  c1=0.13766411247414598, c2=0.03058649876870482, score=0.867909 -   1.2s
[CV] c1=0.07691810961337027, c2=0.0439568715381107 ...................
[CV]  c1=0.07691810961337027, c2=0.0439568715381107, score=0.812081 -   1.3s
[CV] c1=0.6895006670521707, c2=0.04001693778399651 ...................
[CV]  c1=0.6895006670521707, c2=0.04001693778399651, score=0.774679 -   1.2s
[CV] c1=0.23652416979106017, c2=0.13046879806167663 ..................
[CV]  c1=0.23652416979106017, c2=0.13046879806167663, score=0.877954 -   1.2s
[CV] c1=0.13013269228670166, c2=0.15322926241165002 ..................
[CV]  c1=0.13013269228670166, c2=0.15322926241165002, score=0.872534 -   1.2s
[CV] c1=0.3442631006849691, c2=0.053767323951739124 ..................
[CV]  c1=0.3442631006849691, c2=0.053767323951739124, score=0.704183 -   1.0s
[CV] c1=0.8410694420675764, c2=0.04672121230555169 ...................
[CV]  c1=0.8410694420675764, c2=0.04672121230555169, score=0.718939 -   1.3s
[CV] c1=0.09374096914144629, c2=0.014871987181956994 .................
[CV]  c1=0.09374096914144629, c2=0.014871987181956994, score=0.865502 -   1.2s
[CV] c1=0.07489174382375115, c2=0.10731815891484045 ..................
[CV]  c1=0.07489174382375115, c2=0.10731815891484045, score=0.874397 -   1.2s
[CV] c1=0.33079918178515316, c2=0.06281960529691237 ..................
[CV]  c1=0.33079918178515316, c2=0.06281960529691237, score=0.779862 -   1.2s
[CV] c1=1.5091134465592362, c2=0.05665810200091283 ...................
[CV]  c1=1.5091134465592362, c2=0.05665810200091283, score=0.546901 -   1.3s
[CV] c1=0.009440266121323438, c2=0.022693157599984713 ................
[CV]  c1=0.009440266121323438, c2=0.022693157599984713, score=0.801469 -   1.2s
[CV] c1=0.18745261652662643, c2=0.35464664115234495 ..................
[CV]  c1=0.18745261652662643, c2=0.35464664115234495, score=0.722312 -   1.2s
[CV] c1=0.8717923350430852, c2=0.20037933355882825 ...................
[CV]  c1=0.8717923350430852, c2=0.20037933355882825, score=0.600945 -   1.1s
[CV] c1=0.3686078809178524, c2=0.07959938657642629 ...................
[CV]  c1=0.3686078809178524, c2=0.07959938657642629, score=0.821275 -   1.2s
[CV] c1=0.6975573121407679, c2=0.12113698237033706 ...................
[CV]  c1=0.6975573121407679, c2=0.12113698237033706, score=0.768348 -   1.2s
[CV] c1=1.8205578271571425, c2=0.04880380214501023 ...................
[CV]  c1=1.8205578271571425, c2=0.04880380214501023, score=0.536727 -   1.4s
[CV] c1=0.32022419192330154, c2=0.0004164516778153934 ................
[CV]  c1=0.32022419192330154, c2=0.0004164516778153934, score=0.787229 -   1.4s
[CV] c1=0.8440709501985852, c2=0.05584389997097941 ...................
[CV]  c1=0.8440709501985852, c2=0.05584389997097941, score=0.674122 -   1.3s
[CV] c1=0.08551115880267557, c2=0.002552786914346795 .................
[CV]  c1=0.08551115880267557, c2=0.002552786914346795, score=0.847478 -   1.3s
[CV] c1=0.514873247982261, c2=0.19702348273600812 ....................
[CV]  c1=0.514873247982261, c2=0.19702348273600812, score=0.770434 -   1.2s
[CV] c1=0.3328616881331723, c2=0.043010340461932556 ..................
[CV]  c1=0.3328616881331723, c2=0.043010340461932556, score=0.803699 -   1.3s
[CV] c1=1.169884465947651, c2=0.07826800705786718 ....................
[CV]  c1=1.169884465947651, c2=0.07826800705786718, score=0.564932 -   1.4s
[CV] c1=1.8265774455931465, c2=0.015828798350468364 ..................
[CV]  c1=1.8265774455931465, c2=0.015828798350468364, score=0.530909 -   1.3s
[CV] c1=0.10489226937876346, c2=0.007256525557225973 .................
[CV]  c1=0.10489226937876346, c2=0.007256525557225973, score=0.863552 -   1.1s
[CV] c1=0.09463167907556204, c2=0.02802148374975995 ..................
[CV]  c1=0.09463167907556204, c2=0.02802148374975995, score=0.860542 -   1.3s
[CV] c1=0.695847032347351, c2=0.15508853331274391 ....................
[CV]  c1=0.695847032347351, c2=0.15508853331274391, score=0.627660 -   1.0s
[CV] c1=0.5022065718022247, c2=0.003722686308734355 ..................
[CV]  c1=0.5022065718022247, c2=0.003722686308734355, score=0.899688 -   1.2s
[CV] c1=0.6029287484353966, c2=0.009754426280305957 ..................
[CV]  c1=0.6029287484353966, c2=0.009754426280305957, score=0.875548 -   1.2s
[CV] c1=0.3974578884706004, c2=0.1447323415445268 ....................
[CV]  c1=0.3974578884706004, c2=0.1447323415445268, score=0.846907 -   1.2s
[CV] c1=1.1727487740929756, c2=0.07425259938391748 ...................
[CV]  c1=1.1727487740929756, c2=0.07425259938391748, score=0.591796 -   1.0s
[CV] c1=0.09374096914144629, c2=0.014871987181956994 .................
[CV]  c1=0.09374096914144629, c2=0.014871987181956994, score=0.801856 -   1.3s
[CV] c1=0.5466674633288012, c2=0.014184396148663504 ..................
[CV]  c1=0.5466674633288012, c2=0.014184396148663504, score=0.883242 -   1.2s
[CV] c1=0.36946937516097805, c2=0.04925109899857319 ..................
[CV]  c1=0.36946937516097805, c2=0.04925109899857319, score=0.720569 -   1.0s
[CV] c1=1.5091134465592362, c2=0.05665810200091283 ...................
[CV]  c1=1.5091134465592362, c2=0.05665810200091283, score=0.772349 -   1.2s
[CV] c1=0.5666729091495161, c2=0.02388521181144483 ...................
[CV]  c1=0.5666729091495161, c2=0.02388521181144483, score=0.713036 -   1.4s
[CV] c1=0.18745261652662643, c2=0.35464664115234495 ..................
[CV]  c1=0.18745261652662643, c2=0.35464664115234495, score=0.852630 -   1.2s
[CV] c1=0.07691810961337027, c2=0.0439568715381107 ...................
[CV]  c1=0.07691810961337027, c2=0.0439568715381107, score=0.857738 -   1.2s
[CV] c1=0.6895006670521707, c2=0.04001693778399651 ...................
[CV]  c1=0.6895006670521707, c2=0.04001693778399651, score=0.684609 -   1.3s
[CV] c1=0.23652416979106017, c2=0.13046879806167663 ..................
[CV]  c1=0.23652416979106017, c2=0.13046879806167663, score=0.704539 -   0.9s
[CV] c1=0.586273316957788, c2=0.0006544726723583885 ..................
[CV]  c1=0.586273316957788, c2=0.0006544726723583885, score=0.723171 -   0.9s
[CV] c1=0.9497814264150702, c2=0.003890470523893811 ..................
[CV]  c1=0.9497814264150702, c2=0.003890470523893811, score=0.866458 -   1.2s
[CV] c1=1.2547106197094315, c2=0.000907980644216785 ..................
[CV]  c1=1.2547106197094315, c2=0.000907980644216785, score=0.627884 -   1.2s
[CV] c1=0.08551115880267557, c2=0.002552786914346795 .................
[CV]  c1=0.08551115880267557, c2=0.002552786914346795, score=0.741874 -   1.0s
[CV] c1=2.4111381433970878, c2=0.12310353397283463 ...................
[CV]  c1=2.4111381433970878, c2=0.12310353397283463, score=0.505369 -   1.3s
[CV] c1=0.48179794918786795, c2=0.003722967636948064 .................
[CV]  c1=0.48179794918786795, c2=0.003722967636948064, score=0.719273 -   0.9s
[CV] c1=0.44200171011967115, c2=0.04162022464879196 ..................
[CV]  c1=0.44200171011967115, c2=0.04162022464879196, score=0.791403 -   1.2s
[CV] c1=0.5691063850959694, c2=0.012726233674679953 ..................
[CV]  c1=0.5691063850959694, c2=0.012726233674679953, score=0.718868 -   1.0s
[CV] c1=1.974202888635447, c2=0.009759479935977929 ...................
[CV]  c1=1.974202888635447, c2=0.009759479935977929, score=0.679771 -   1.2s
[CV] c1=0.3638944945176659, c2=0.04604204489481762 ...................
[CV]  c1=0.3638944945176659, c2=0.04604204489481762, score=0.893529 -   1.1s
[CV] c1=0.09463167907556204, c2=0.02802148374975995 ..................
[CV]  c1=0.09463167907556204, c2=0.02802148374975995, score=0.694715 -   1.1s
[CV] c1=0.19178294750599562, c2=0.0524525987176392 ...................
[CV]  c1=0.19178294750599562, c2=0.0524525987176392, score=0.793437 -   1.3s
[CV] c1=0.5022065718022247, c2=0.003722686308734355 ..................
[CV]  c1=0.5022065718022247, c2=0.003722686308734355, score=0.740680 -   1.3s
[CV] c1=0.04860942034216158, c2=0.020519759446348124 .................
[CV]  c1=0.04860942034216158, c2=0.020519759446348124, score=0.876662 -   1.3s
[CV] c1=0.8422744461154381, c2=0.16299451373519735 ...................
[CV]  c1=0.8422744461154381, c2=0.16299451373519735, score=0.659531 -   1.3s
[CV] c1=0.23507345037316366, c2=0.01045965846330769 ..................
[CV]  c1=0.23507345037316366, c2=0.01045965846330769, score=0.896725 -   1.2s
[CV] c1=0.44152516420194204, c2=0.02908298980461939 ..................
[CV]  c1=0.44152516420194204, c2=0.02908298980461939, score=0.794987 -   1.4s
[CV] c1=0.3815207247682392, c2=0.002890580406672798 ..................
[CV]  c1=0.3815207247682392, c2=0.002890580406672798, score=0.853528 -   1.2s
[CV] c1=0.7157954016056468, c2=0.030232243235751678 ..................
[CV]  c1=0.7157954016056468, c2=0.030232243235751678, score=0.806048 -   1.2s
[CV] c1=0.5691063850959694, c2=0.012726233674679953 ..................
[CV]  c1=0.5691063850959694, c2=0.012726233674679953, score=0.823076 -   1.2s
[CV] c1=0.19091503138361599, c2=0.0010091972610863649 ................
[CV]  c1=0.19091503138361599, c2=0.0010091972610863649, score=0.732592 -   1.0s
[CV] c1=0.10489226937876346, c2=0.007256525557225973 .................
[CV]  c1=0.10489226937876346, c2=0.007256525557225973, score=0.799467 -   1.2s
[CV] c1=0.401731848179534, c2=0.04350390505850344 ....................
[CV]  c1=0.401731848179534, c2=0.04350390505850344, score=0.893759 -   1.3s
[CV] c1=0.19178294750599562, c2=0.0524525987176392 ...................
[CV]  c1=0.19178294750599562, c2=0.0524525987176392, score=0.696964 -   1.0s
[CV] c1=0.33466581763772923, c2=0.003974633794399748 .................
[CV]  c1=0.33466581763772923, c2=0.003974633794399748, score=0.907129 -   1.3s
[CV] c1=0.03636666629961213, c2=0.044307458024452295 .................
[CV]  c1=0.03636666629961213, c2=0.044307458024452295, score=0.797054 -   1.3s
[CV] c1=1.3950594496266735, c2=0.07126324562944657 ...................
[CV]  c1=1.3950594496266735, c2=0.07126324562944657, score=0.733834 -   1.2s
[CV] c1=0.23956156091790962, c2=0.08690598984431766 ..................
[CV]  c1=0.23956156091790962, c2=0.08690598984431766, score=0.851473 -   1.2s
[CV] c1=0.09374096914144629, c2=0.014871987181956994 .................
[CV]  c1=0.09374096914144629, c2=0.014871987181956994, score=0.716822 -   1.0s
[CV] c1=0.07713950347630423, c2=0.13515943314969545 ..................
[CV]  c1=0.07713950347630423, c2=0.13515943314969545, score=0.849610 -   1.2s
[CV] c1=0.09874416903658267, c2=0.11774338070484694 ..................
[CV]  c1=0.09874416903658267, c2=0.11774338070484694, score=0.872534 -   1.2s
[CV] c1=0.7074474802724238, c2=0.011095671644595314 ..................
[CV]  c1=0.7074474802724238, c2=0.011095671644595314, score=0.711213 -   1.0s
[CV] c1=0.4816289459618855, c2=0.03514048292390907 ...................
[CV]  c1=0.4816289459618855, c2=0.03514048292390907, score=0.893891 -   1.2s
[CV] c1=0.47655802309995277, c2=0.18807627669361507 ..................
[CV]  c1=0.47655802309995277, c2=0.18807627669361507, score=0.831341 -   1.2s
[CV] c1=0.6384213490582509, c2=0.014813191701296064 ..................
[CV]  c1=0.6384213490582509, c2=0.014813191701296064, score=0.713885 -   0.9s
[CV] c1=0.8717923350430852, c2=0.20037933355882825 ...................
[CV]  c1=0.8717923350430852, c2=0.20037933355882825, score=0.589283 -   0.7s
[CV] c1=1.0873800167126972, c2=0.03438164124563988 ...................
[CV]  c1=1.0873800167126972, c2=0.03438164124563988, score=0.860845 -   1.2s
[CV] c1=0.695847032347351, c2=0.15508853331274391 ....................
[CV]  c1=0.695847032347351, c2=0.15508853331274391, score=0.859907 -   1.3s
[CV] c1=0.2901153180618701, c2=0.12941474953578821 ...................
[CV]  c1=0.2901153180618701, c2=0.12941474953578821, score=0.828047 -   1.3s
[CV] c1=0.6547051233522785, c2=0.033738161601165856 ..................
[CV]  c1=0.6547051233522785, c2=0.033738161601165856, score=0.871594 -   1.3s
[CV] c1=0.20322891265957033, c2=0.011401151951481572 .................
[CV]  c1=0.20322891265957033, c2=0.011401151951481572, score=0.735883 -   1.1s
[CV] c1=0.10821045911389157, c2=0.016632894314089017 .................
[CV]  c1=0.10821045911389157, c2=0.016632894314089017, score=0.879215 -   1.2s
[CV] c1=0.44152516420194204, c2=0.02908298980461939 ..................
[CV]  c1=0.44152516420194204, c2=0.02908298980461939, score=0.742265 -   1.3s
[CV] c1=0.3815207247682392, c2=0.002890580406672798 ..................
[CV]  c1=0.3815207247682392, c2=0.002890580406672798, score=0.898720 -   1.3s
[CV] c1=0.7157954016056468, c2=0.030232243235751678 ..................
[CV]  c1=0.7157954016056468, c2=0.030232243235751678, score=0.678561 -   1.3s
[CV] c1=0.5691063850959694, c2=0.012726233674679953 ..................
[CV]  c1=0.5691063850959694, c2=0.012726233674679953, score=0.798014 -   1.3s
[CV] c1=0.47655802309995277, c2=0.18807627669361507 ..................
[CV]  c1=0.47655802309995277, c2=0.18807627669361507, score=0.668043 -   1.0s
[CV] c1=0.22764510209852143, c2=0.04516250323467119 ..................
[CV]  c1=0.22764510209852143, c2=0.04516250323467119, score=0.704298 -   0.9s
[CV] c1=0.401731848179534, c2=0.04350390505850344 ....................
[CV]  c1=0.401731848179534, c2=0.04350390505850344, score=0.774337 -   1.3s
[CV] c1=0.6561164365733952, c2=0.030756275812340278 ..................
[CV]  c1=0.6561164365733952, c2=0.030756275812340278, score=0.692491 -   1.0s
[CV] c1=0.33466581763772923, c2=0.003974633794399748 .................
[CV]  c1=0.33466581763772923, c2=0.003974633794399748, score=0.789470 -   1.3s
[CV] c1=0.13013269228670166, c2=0.15322926241165002 ..................
[CV]  c1=0.13013269228670166, c2=0.15322926241165002, score=0.715992 -   0.9s
[CV] c1=0.12592880250555394, c2=0.033545019558750104 .................
[CV]  c1=0.12592880250555394, c2=0.033545019558750104, score=0.855151 -   1.1s
[CV] c1=0.8410694420675764, c2=0.04672121230555169 ...................
[CV]  c1=0.8410694420675764, c2=0.04672121230555169, score=0.862075 -   1.3s
[CV] c1=1.203640341822723, c2=0.021124241438590645 ...................
[CV]  c1=1.203640341822723, c2=0.021124241438590645, score=0.621802 -   1.0s
[CV] c1=0.2153812524710725, c2=0.023087599724722616 ..................
[CV]  c1=0.2153812524710725, c2=0.023087599724722616, score=0.860111 -   1.2s
[CV] c1=0.48179794918786795, c2=0.003722967636948064 .................
[CV]  c1=0.48179794918786795, c2=0.003722967636948064, score=0.897011 -   1.2s
[CV] c1=0.01938241067935208, c2=0.002892505163583267 .................
[CV]  c1=0.01938241067935208, c2=0.002892505163583267, score=0.866845 -   1.2s
[CV] c1=0.4816289459618855, c2=0.03514048292390907 ...................
[CV]  c1=0.4816289459618855, c2=0.03514048292390907, score=0.715773 -   1.0s
[CV] c1=0.19091503138361599, c2=0.0010091972610863649 ................
[CV]  c1=0.19091503138361599, c2=0.0010091972610863649, score=0.862518 -   1.1s
[CV] c1=0.3638944945176659, c2=0.04604204489481762 ...................
[CV]  c1=0.3638944945176659, c2=0.04604204489481762, score=0.859589 -   1.0s
[CV] c1=0.8717923350430852, c2=0.20037933355882825 ...................
[CV]  c1=0.8717923350430852, c2=0.20037933355882825, score=0.839772 -   1.0s
[CV] c1=1.0873800167126972, c2=0.03438164124563988 ...................
[CV]  c1=1.0873800167126972, c2=0.03438164124563988, score=0.638580 -   1.3s
[CV] c1=0.695847032347351, c2=0.15508853331274391 ....................
[CV]  c1=0.695847032347351, c2=0.15508853331274391, score=0.756921 -   1.4s
[CV] c1=1.8205578271571425, c2=0.04880380214501023 ...................
[CV]  c1=1.8205578271571425, c2=0.04880380214501023, score=0.616188 -   1.3s
[CV] c1=0.32022419192330154, c2=0.0004164516778153934 ................
[CV]  c1=0.32022419192330154, c2=0.0004164516778153934, score=0.907129 -   1.4s
[CV] c1=1.2547106197094315, c2=0.000907980644216785 ..................
[CV]  c1=1.2547106197094315, c2=0.000907980644216785, score=0.779947 -   1.3s
[CV] c1=0.2089755585034566, c2=0.037384812021492 .....................
[CV]  c1=0.2089755585034566, c2=0.037384812021492, score=0.857556 -   1.2s
[CV] c1=0.2153812524710725, c2=0.023087599724722616 ..................
[CV]  c1=0.2153812524710725, c2=0.023087599724722616, score=0.803391 -   1.3s
[CV] c1=0.09874416903658267, c2=0.11774338070484694 ..................
[CV]  c1=0.09874416903658267, c2=0.11774338070484694, score=0.852982 -   1.4s
[CV] c1=1.5091134465592362, c2=0.05665810200091283 ...................
[CV]  c1=1.5091134465592362, c2=0.05665810200091283, score=0.717630 -   1.3s
[CV] c1=0.009440266121323438, c2=0.022693157599984713 ................
[CV]  c1=0.009440266121323438, c2=0.022693157599984713, score=0.863015 -   1.3s
[CV] c1=0.18745261652662643, c2=0.35464664115234495 ..................
[CV]  c1=0.18745261652662643, c2=0.35464664115234495, score=0.770901 -   1.2s
[CV] c1=0.07691810961337027, c2=0.0439568715381107 ...................
[CV]  c1=0.07691810961337027, c2=0.0439568715381107, score=0.700855 -   0.8s
[CV] c1=0.17275521119113263, c2=0.012009747664724083 .................
[CV]  c1=0.17275521119113263, c2=0.012009747664724083, score=0.799424 -   1.3s
[CV] c1=0.242715989487672, c2=0.12193991780903397 ....................
[CV]  c1=0.242715989487672, c2=0.12193991780903397, score=0.888407 -   1.2s
[CV] c1=0.8891294492970058, c2=0.006223279851231405 ..................
[CV]  c1=0.8891294492970058, c2=0.006223279851231405, score=0.799987 -   1.2s
[CV] c1=0.32022419192330154, c2=0.0004164516778153934 ................
[CV]  c1=0.32022419192330154, c2=0.0004164516778153934, score=0.794358 -   1.3s
[CV] c1=0.8440709501985852, c2=0.05584389997097941 ...................
[CV]  c1=0.8440709501985852, c2=0.05584389997097941, score=0.646080 -   1.0s
[CV] c1=0.23507345037316366, c2=0.01045965846330769 ..................
[CV]  c1=0.23507345037316366, c2=0.01045965846330769, score=0.803391 -   1.3s
[CV] c1=0.2153812524710725, c2=0.023087599724722616 ..................
[CV]  c1=0.2153812524710725, c2=0.023087599724722616, score=0.721656 -   1.0s
[CV] c1=0.3815207247682392, c2=0.002890580406672798 ..................
[CV]  c1=0.3815207247682392, c2=0.002890580406672798, score=0.726102 -   1.0s
[CV] c1=0.44200171011967115, c2=0.04162022464879196 ..................
[CV]  c1=0.44200171011967115, c2=0.04162022464879196, score=0.896002 -   1.2s
[CV] c1=0.19980814623137713, c2=0.133519614544015 ....................
[CV]  c1=0.19980814623137713, c2=0.133519614544015, score=0.772169 -   1.3s
[CV] c1=0.6696539922803751, c2=0.3243079770540161 ....................
[CV]  c1=0.6696539922803751, c2=0.3243079770540161, score=0.579658 -   1.0s
[CV] c1=0.13766411247414598, c2=0.03058649876870482 ..................
[CV]  c1=0.13766411247414598, c2=0.03058649876870482, score=0.803391 -   1.2s
[CV] c1=0.01373657533105717, c2=0.033405169210396615 .................
[CV]  c1=0.01373657533105717, c2=0.033405169210396615, score=0.802578 -   1.2s
[CV] c1=0.07470820962589321, c2=0.020192381588054743 .................
[CV]  c1=0.07470820962589321, c2=0.020192381588054743, score=0.803699 -   1.3s
[CV] c1=0.33466581763772923, c2=0.003974633794399748 .................
[CV]  c1=0.33466581763772923, c2=0.003974633794399748, score=0.803391 -   1.4s
[CV] c1=0.6029287484353966, c2=0.009754426280305957 ..................
[CV]  c1=0.6029287484353966, c2=0.009754426280305957, score=0.696753 -   1.3s
[CV] c1=0.3974578884706004, c2=0.1447323415445268 ....................
[CV]  c1=0.3974578884706004, c2=0.1447323415445268, score=0.779662 -   1.3s
[CV] c1=0.10821045911389157, c2=0.016632894314089017 .................
[CV]  c1=0.10821045911389157, c2=0.016632894314089017, score=0.714627 -   1.0s
[CV] c1=0.02913709287257748, c2=0.01826590513631122 ..................
[CV]  c1=0.02913709287257748, c2=0.01826590513631122, score=0.792318 -   1.3s
[CV] c1=0.33531794287952554, c2=0.0016011707898079418 ................
[CV]  c1=0.33531794287952554, c2=0.0016011707898079418, score=0.797385 -   1.2s
[CV] c1=0.44200171011967115, c2=0.04162022464879196 ..................
[CV]  c1=0.44200171011967115, c2=0.04162022464879196, score=0.744396 -   1.3s
[CV] c1=0.5691063850959694, c2=0.012726233674679953 ..................
[CV]  c1=0.5691063850959694, c2=0.012726233674679953, score=0.885492 -   1.2s
[CV] c1=0.19091503138361599, c2=0.0010091972610863649 ................
[CV]  c1=0.19091503138361599, c2=0.0010091972610863649, score=0.903995 -   1.2s
[CV] c1=0.22764510209852143, c2=0.04516250323467119 ..................
[CV]  c1=0.22764510209852143, c2=0.04516250323467119, score=0.886597 -   1.1s
[CV] c1=0.5097852335082534, c2=0.04623979778477238 ...................
[CV]  c1=0.5097852335082534, c2=0.04623979778477238, score=0.782379 -   1.3s
[CV] c1=0.2085739095999278, c2=0.07372543064292818 ...................
[CV]  c1=0.2085739095999278, c2=0.07372543064292818, score=0.803391 -   1.3s
[CV] c1=0.5240894267777215, c2=0.062089681018159475 ..................
[CV]  c1=0.5240894267777215, c2=0.062089681018159475, score=0.688930 -   1.0s
[CV] c1=0.3085896326939571, c2=0.023096114900154004 ..................
[CV]  c1=0.3085896326939571, c2=0.023096114900154004, score=0.739074 -   1.0s
[CV] c1=0.32022419192330154, c2=0.0004164516778153934 ................
[CV]  c1=0.32022419192330154, c2=0.0004164516778153934, score=0.726310 -   1.1s
[CV] c1=0.8422744461154381, c2=0.16299451373519735 ...................
[CV]  c1=0.8422744461154381, c2=0.16299451373519735, score=0.630230 -   1.3s
[CV] c1=0.23507345037316366, c2=0.01045965846330769 ..................
[CV]  c1=0.23507345037316366, c2=0.01045965846330769, score=0.750738 -   1.0s
[CV] c1=0.44152516420194204, c2=0.02908298980461939 ..................
[CV]  c1=0.44152516420194204, c2=0.02908298980461939, score=0.906812 -   1.3s
[CV] c1=0.06509573984589731, c2=0.0065813523164735335 ................
[CV]  c1=0.06509573984589731, c2=0.0065813523164735335, score=0.803378 -   1.3s
[CV] c1=0.7157954016056468, c2=0.030232243235751678 ..................
[CV]  c1=0.7157954016056468, c2=0.030232243235751678, score=0.688214 -   1.0s
[CV] c1=0.12255572389456788, c2=0.0005334917647389978 ................
[CV]  c1=0.12255572389456788, c2=0.0005334917647389978, score=0.891214 -   1.3s
[CV] c1=0.6696539922803751, c2=0.3243079770540161 ....................
[CV]  c1=0.6696539922803751, c2=0.3243079770540161, score=0.666223 -   1.3s
[CV] c1=0.22764510209852143, c2=0.04516250323467119 ..................
[CV]  c1=0.22764510209852143, c2=0.04516250323467119, score=0.793437 -   1.1s
[CV] c1=0.5097852335082534, c2=0.04623979778477238 ...................
[CV]  c1=0.5097852335082534, c2=0.04623979778477238, score=0.875548 -   1.2s
[CV] c1=0.17275521119113263, c2=0.012009747664724083 .................
[CV]  c1=0.17275521119113263, c2=0.012009747664724083, score=0.860111 -   1.2s
[CV] c1=0.26765997396784796, c2=0.013688650621345416 .................
[CV]  c1=0.26765997396784796, c2=0.013688650621345416, score=0.871290 -   1.3s
[CV] c1=0.3085896326939571, c2=0.023096114900154004 ..................
[CV]  c1=0.3085896326939571, c2=0.023096114900154004, score=0.911695 -   1.2s
[CV] c1=0.9497814264150702, c2=0.003890470523893811 ..................
[CV]  c1=0.9497814264150702, c2=0.003890470523893811, score=0.672922 -   1.3s
[CV] c1=0.8440709501985852, c2=0.05584389997097941 ...................
[CV]  c1=0.8440709501985852, c2=0.05584389997097941, score=0.709295 -   1.4s
[CV] c1=0.09374096914144629, c2=0.014871987181956994 .................
[CV]  c1=0.09374096914144629, c2=0.014871987181956994, score=0.876254 -   1.3s
[CV] c1=0.07489174382375115, c2=0.10731815891484045 ..................
[CV]  c1=0.07489174382375115, c2=0.10731815891484045, score=0.849610 -   1.2s
[CV] c1=0.33079918178515316, c2=0.06281960529691237 ..................
[CV]  c1=0.33079918178515316, c2=0.06281960529691237, score=0.800115 -   1.4s
[CV] c1=0.19980814623137713, c2=0.133519614544015 ....................
[CV]  c1=0.19980814623137713, c2=0.133519614544015, score=0.890249 -   1.3s
[CV] c1=1.974202888635447, c2=0.009759479935977929 ...................
[CV]  c1=1.974202888635447, c2=0.009759479935977929, score=0.530909 -   1.3s
[CV] c1=0.3638944945176659, c2=0.04604204489481762 ...................
[CV]  c1=0.3638944945176659, c2=0.04604204489481762, score=0.800115 -   1.1s
[CV] c1=0.5097852335082534, c2=0.04623979778477238 ...................
[CV]  c1=0.5097852335082534, c2=0.04623979778477238, score=0.861352 -   0.9s
[CV] c1=0.3686078809178524, c2=0.07959938657642629 ...................
[CV]  c1=0.3686078809178524, c2=0.07959938657642629, score=0.759523 -   1.4s
[CV] c1=0.26765997396784796, c2=0.013688650621345416 .................
[CV]  c1=0.26765997396784796, c2=0.013688650621345416, score=0.732314 -   0.9s
[CV] c1=0.2901153180618701, c2=0.12941474953578821 ...................
[CV]  c1=0.2901153180618701, c2=0.12941474953578821, score=0.782379 -   1.3s
[CV] c1=0.6547051233522785, c2=0.033738161601165856 ..................
[CV]  c1=0.6547051233522785, c2=0.033738161601165856, score=0.696266 -   1.1s
[CV] c1=0.8422744461154381, c2=0.16299451373519735 ...................
[CV]  c1=0.8422744461154381, c2=0.16299451373519735, score=0.597025 -   1.0s
[CV] c1=0.1666611990822612, c2=0.054953987561154806 ..................
[CV]  c1=0.1666611990822612, c2=0.054953987561154806, score=0.851811 -   1.3s
[CV] c1=0.02913709287257748, c2=0.01826590513631122 ..................
[CV]  c1=0.02913709287257748, c2=0.01826590513631122, score=0.881721 -   1.3s
[CV] c1=0.33531794287952554, c2=0.0016011707898079418 ................
[CV]  c1=0.33531794287952554, c2=0.0016011707898079418, score=0.867047 -   1.2s
[CV] c1=0.18754651777118114, c2=0.05430440796808818 ..................
[CV]  c1=0.18754651777118114, c2=0.05430440796808818, score=0.857334 -   1.2s
[CV] c1=0.19980814623137713, c2=0.133519614544015 ....................
[CV]  c1=0.19980814623137713, c2=0.133519614544015, score=0.761726 -   1.4s
[CV] c1=0.6696539922803751, c2=0.3243079770540161 ....................
[CV]  c1=0.6696539922803751, c2=0.3243079770540161, score=0.719057 -   1.3s
[CV] c1=0.22764510209852143, c2=0.04516250323467119 ..................
[CV]  c1=0.22764510209852143, c2=0.04516250323467119, score=0.857556 -   1.0s
[CV] c1=0.5097852335082534, c2=0.04623979778477238 ...................
[CV]  c1=0.5097852335082534, c2=0.04623979778477238, score=0.709260 -   0.8s
[CV] c1=0.3686078809178524, c2=0.07959938657642629 ...................
[CV]  c1=0.3686078809178524, c2=0.07959938657642629, score=0.858797 -   1.2s
[CV] c1=0.6975573121407679, c2=0.12113698237033706 ...................
[CV]  c1=0.6975573121407679, c2=0.12113698237033706, score=0.864199 -   1.2s
[CV] c1=1.8205578271571425, c2=0.04880380214501023 ...................
[CV]  c1=1.8205578271571425, c2=0.04880380214501023, score=0.511788 -   0.9s
[CV] c1=0.6029287484353966, c2=0.009754426280305957 ..................
[CV]  c1=0.6029287484353966, c2=0.009754426280305957, score=0.730087 -   1.0s
[CV] c1=0.3442631006849691, c2=0.053767323951739124 ..................
[CV]  c1=0.3442631006849691, c2=0.053767323951739124, score=0.899958 -   1.3s
[CV] c1=0.1666611990822612, c2=0.054953987561154806 ..................
[CV]  c1=0.1666611990822612, c2=0.054953987561154806, score=0.787733 -   1.3s
[CV] c1=0.029255682090133548, c2=0.023894950060213492 ................
[CV]  c1=0.029255682090133548, c2=0.023894950060213492, score=0.860542 -   1.2s
[CV] c1=0.33531794287952554, c2=0.0016011707898079418 ................
[CV]  c1=0.33531794287952554, c2=0.0016011707898079418, score=0.902351 -   1.2s
[CV] c1=0.18754651777118114, c2=0.05430440796808818 ..................
[CV]  c1=0.18754651777118114, c2=0.05430440796808818, score=0.785386 -   1.3s
[CV] c1=0.12255572389456788, c2=0.0005334917647389978 ................
[CV]  c1=0.12255572389456788, c2=0.0005334917647389978, score=0.809666 -   1.3s
[CV] c1=0.6696539922803751, c2=0.3243079770540161 ....................
[CV]  c1=0.6696539922803751, c2=0.3243079770540161, score=0.729944 -   1.2s
[CV] c1=0.3638944945176659, c2=0.04604204489481762 ...................
[CV]  c1=0.3638944945176659, c2=0.04604204489481762, score=0.787912 -   1.2s
[CV] c1=0.01373657533105717, c2=0.033405169210396615 .................
[CV]  c1=0.01373657533105717, c2=0.033405169210396615, score=0.742029 -   1.0s
[CV] c1=0.2085739095999278, c2=0.07372543064292818 ...................
[CV]  c1=0.2085739095999278, c2=0.07372543064292818, score=0.705818 -   1.1s
[CV] c1=0.26765997396784796, c2=0.013688650621345416 .................
[CV]  c1=0.26765997396784796, c2=0.013688650621345416, score=0.906707 -   1.2s
[CV] c1=0.8891294492970058, c2=0.006223279851231405 ..................
[CV]  c1=0.8891294492970058, c2=0.006223279851231405, score=0.653513 -   1.0s
[CV] c1=0.6547051233522785, c2=0.033738161601165856 ..................
[CV]  c1=0.6547051233522785, c2=0.033738161601165856, score=0.697571 -   1.3s
[CV] c1=0.20322891265957033, c2=0.011401151951481572 .................
[CV]  c1=0.20322891265957033, c2=0.011401151951481572, score=0.793437 -   1.3s
[CV] c1=0.2089755585034566, c2=0.037384812021492 .....................
[CV]  c1=0.2089755585034566, c2=0.037384812021492, score=0.881393 -   1.3s
[CV] c1=0.2153812524710725, c2=0.023087599724722616 ..................
[CV]  c1=0.2153812524710725, c2=0.023087599724722616, score=0.793437 -   1.3s
[CV] c1=0.48179794918786795, c2=0.003722967636948064 .................
[CV]  c1=0.48179794918786795, c2=0.003722967636948064, score=0.867650 -   1.2s
[CV] c1=0.7074474802724238, c2=0.011095671644595314 ..................
[CV]  c1=0.7074474802724238, c2=0.011095671644595314, score=0.865371 -   1.2s
[CV] c1=0.1942970342867447, c2=0.12033549683733336 ...................
[CV]  c1=0.1942970342867447, c2=0.12033549683733336, score=0.879917 -   1.3s
[CV] c1=0.5696881398084499, c2=0.026367599283794063 ..................
[CV]  c1=0.5696881398084499, c2=0.026367599283794063, score=0.717042 -   0.9s
[CV] c1=0.6384213490582509, c2=0.014813191701296064 ..................
[CV]  c1=0.6384213490582509, c2=0.014813191701296064, score=0.876641 -   1.0s
[CV] c1=1.2588364149880353, c2=0.033213043320241296 ..................
[CV]  c1=1.2588364149880353, c2=0.033213043320241296, score=0.578475 -   1.4s
[CV] c1=0.6895006670521707, c2=0.04001693778399651 ...................
[CV]  c1=0.6895006670521707, c2=0.04001693778399651, score=0.677828 -   1.0s
[CV] c1=0.242715989487672, c2=0.12193991780903397 ....................
[CV]  c1=0.242715989487672, c2=0.12193991780903397, score=0.782379 -   1.2s
[CV] c1=0.586273316957788, c2=0.0006544726723583885 ..................
[CV]  c1=0.586273316957788, c2=0.0006544726723583885, score=0.879128 -   1.2s
[CV] c1=0.12592880250555394, c2=0.033545019558750104 .................
[CV]  c1=0.12592880250555394, c2=0.033545019558750104, score=0.800477 -   1.3s
[CV] c1=0.23956156091790962, c2=0.08690598984431766 ..................
[CV]  c1=0.23956156091790962, c2=0.08690598984431766, score=0.892505 -   1.3s
[CV] c1=0.09374096914144629, c2=0.014871987181956994 .................
[CV]  c1=0.09374096914144629, c2=0.014871987181956994, score=0.803391 -   1.3s
[CV] c1=0.5466674633288012, c2=0.014184396148663504 ..................
[CV]  c1=0.5466674633288012, c2=0.014184396148663504, score=0.846298 -   1.2s
[CV] c1=0.18754651777118114, c2=0.05430440796808818 ..................
[CV]  c1=0.18754651777118114, c2=0.05430440796808818, score=0.698289 -   1.0s
[CV] c1=0.46379965177634086, c2=0.07446842239014999 ..................
[CV]  c1=0.46379965177634086, c2=0.07446842239014999, score=0.851729 -   1.2s
[CV] c1=1.8265774455931465, c2=0.015828798350468364 ..................
[CV]  c1=1.8265774455931465, c2=0.015828798350468364, score=0.534268 -   1.0s
[CV] c1=0.24675877081882688, c2=0.00884865409052432 ..................
[CV]  c1=0.24675877081882688, c2=0.00884865409052432, score=0.740764 -   1.0s
[CV] c1=0.5671485817940609, c2=0.12438793647366497 ...................
[CV]  c1=0.5671485817940609, c2=0.12438793647366497, score=0.674409 -   0.8s
[CV] c1=0.07691810961337027, c2=0.0439568715381107 ...................
[CV]  c1=0.07691810961337027, c2=0.0439568715381107, score=0.879215 -   1.3s
[CV] c1=0.6895006670521707, c2=0.04001693778399651 ...................
[CV]  c1=0.6895006670521707, c2=0.04001693778399651, score=0.871355 -   1.2s
[CV] c1=0.33466581763772923, c2=0.003974633794399748 .................
[CV]  c1=0.33466581763772923, c2=0.003974633794399748, score=0.870427 -   1.2s
[CV] c1=0.03636666629961213, c2=0.044307458024452295 .................
[CV]  c1=0.03636666629961213, c2=0.044307458024452295, score=0.721065 -   0.9s
[CV] c1=0.9497814264150702, c2=0.003890470523893811 ..................
[CV]  c1=0.9497814264150702, c2=0.003890470523893811, score=0.779947 -   1.3s
[CV] c1=0.8440709501985852, c2=0.05584389997097941 ...................
[CV]  c1=0.8440709501985852, c2=0.05584389997097941, score=0.801857 -   1.2s
[CV] c1=0.08551115880267557, c2=0.002552786914346795 .................
[CV]  c1=0.08551115880267557, c2=0.002552786914346795, score=0.858183 -   1.1s
[CV] c1=0.07713950347630423, c2=0.13515943314969545 ..................
[CV]  c1=0.07713950347630423, c2=0.13515943314969545, score=0.872534 -   1.3s
[CV] c1=0.09874416903658267, c2=0.11774338070484694 ..................
[CV]  c1=0.09874416903658267, c2=0.11774338070484694, score=0.733267 -   1.0s
[CV] c1=0.01938241067935208, c2=0.002892505163583267 .................
[CV]  c1=0.01938241067935208, c2=0.002892505163583267, score=0.777836 -   1.0s
[CV] c1=0.5691063850959694, c2=0.012726233674679953 ..................
[CV]  c1=0.5691063850959694, c2=0.012726233674679953, score=0.715161 -   1.3s
[CV] c1=0.19091503138361599, c2=0.0010091972610863649 ................
[CV]  c1=0.19091503138361599, c2=0.0010091972610863649, score=0.803391 -   1.3s
[CV] c1=0.6384213490582509, c2=0.014813191701296064 ..................
[CV]  c1=0.6384213490582509, c2=0.014813191701296064, score=0.713036 -   1.0s
[CV] c1=0.401731848179534, c2=0.04350390505850344 ....................
[CV]  c1=0.401731848179534, c2=0.04350390505850344, score=0.706463 -   1.0s
[CV] c1=0.07470820962589321, c2=0.020192381588054743 .................
[CV]  c1=0.07470820962589321, c2=0.020192381588054743, score=0.739666 -   1.0s
[CV] c1=0.26765997396784796, c2=0.013688650621345416 .................
[CV]  c1=0.26765997396784796, c2=0.013688650621345416, score=0.803391 -   1.3s
[CV] c1=0.8891294492970058, c2=0.006223279851231405 ..................
[CV]  c1=0.8891294492970058, c2=0.006223279851231405, score=0.714238 -   1.2s
[CV] c1=0.9497814264150702, c2=0.003890470523893811 ..................
[CV]  c1=0.9497814264150702, c2=0.003890470523893811, score=0.637598 -   0.9s
[CV] c1=0.20322891265957033, c2=0.011401151951481572 .................
[CV]  c1=0.20322891265957033, c2=0.011401151951481572, score=0.867909 -   1.2s
[CV] c1=0.23507345037316366, c2=0.01045965846330769 ..................
[CV]  c1=0.23507345037316366, c2=0.01045965846330769, score=0.860111 -   1.1s
[CV] c1=2.4111381433970878, c2=0.12310353397283463 ...................
[CV]  c1=2.4111381433970878, c2=0.12310353397283463, score=0.650762 -   1.2s
[CV] c1=0.06509573984589731, c2=0.0065813523164735335 ................
[CV]  c1=0.06509573984589731, c2=0.0065813523164735335, score=0.803475 -   1.2s
[CV] c1=0.7157954016056468, c2=0.030232243235751678 ..................
[CV]  c1=0.7157954016056468, c2=0.030232243235751678, score=0.863268 -   1.1s
[CV] c1=0.12255572389456788, c2=0.0005334917647389978 ................
[CV]  c1=0.12255572389456788, c2=0.0005334917647389978, score=0.803391 -   1.3s
[CV] c1=0.19091503138361599, c2=0.0010091972610863649 ................
[CV]  c1=0.19091503138361599, c2=0.0010091972610863649, score=0.797120 -   1.3s
[CV] c1=0.22764510209852143, c2=0.04516250323467119 ..................
[CV]  c1=0.22764510209852143, c2=0.04516250323467119, score=0.803391 -   1.1s
[CV] c1=0.1696329742547926, c2=0.04135297078646044 ...................
[CV]  c1=0.1696329742547926, c2=0.04135297078646044, score=0.803391 -   1.2s
[CV] c1=0.17275521119113263, c2=0.012009747664724083 .................
[CV]  c1=0.17275521119113263, c2=0.012009747664724083, score=0.803391 -   1.3s
[CV] c1=0.242715989487672, c2=0.12193991780903397 ....................
[CV]  c1=0.242715989487672, c2=0.12193991780903397, score=0.779862 -   1.4s
[CV] c1=0.586273316957788, c2=0.0006544726723583885 ..................
[CV]  c1=0.586273316957788, c2=0.0006544726723583885, score=0.788425 -   1.3s
[CV] c1=1.3950594496266735, c2=0.07126324562944657 ...................
[CV]  c1=1.3950594496266735, c2=0.07126324562944657, score=0.573658 -   1.0s
[CV] c1=0.8410694420675764, c2=0.04672121230555169 ...................
[CV]  c1=0.8410694420675764, c2=0.04672121230555169, score=0.646080 -   1.0s
[CV] c1=0.08551115880267557, c2=0.002552786914346795 .................
[CV]  c1=0.08551115880267557, c2=0.002552786914346795, score=0.903995 -   1.3s
[CV] c1=0.07713950347630423, c2=0.13515943314969545 ..................
[CV]  c1=0.07713950347630423, c2=0.13515943314969545, score=0.760368 -   1.3s
[CV] c1=0.3328616881331723, c2=0.043010340461932556 ..................
[CV]  c1=0.3328616881331723, c2=0.043010340461932556, score=0.721749 -   1.0s
[CV] c1=0.01938241067935208, c2=0.002892505163583267 .................
[CV]  c1=0.01938241067935208, c2=0.002892505163583267, score=0.856075 -   1.2s
[CV] c1=0.4816289459618855, c2=0.03514048292390907 ...................
[CV]  c1=0.4816289459618855, c2=0.03514048292390907, score=0.842306 -   1.2s
[CV] c1=0.47655802309995277, c2=0.18807627669361507 ..................
[CV]  c1=0.47655802309995277, c2=0.18807627669361507, score=0.768232 -   1.2s
[CV] c1=0.6384213490582509, c2=0.014813191701296064 ..................
[CV]  c1=0.6384213490582509, c2=0.014813191701296064, score=0.820222 -   0.9s
[CV] c1=0.1696329742547926, c2=0.04135297078646044 ...................
[CV]  c1=0.1696329742547926, c2=0.04135297078646044, score=0.795784 -   1.1s
[CV] c1=0.17275521119113263, c2=0.012009747664724083 .................
[CV]  c1=0.17275521119113263, c2=0.012009747664724083, score=0.885359 -   1.2s
[CV] c1=0.6975573121407679, c2=0.12113698237033706 ...................
[CV]  c1=0.6975573121407679, c2=0.12113698237033706, score=0.758841 -   1.3s
[CV] c1=0.8891294492970058, c2=0.006223279851231405 ..................
[CV]  c1=0.8891294492970058, c2=0.006223279851231405, score=0.675123 -   1.2s
[CV] c1=0.32022419192330154, c2=0.0004164516778153934 ................
[CV]  c1=0.32022419192330154, c2=0.0004164516778153934, score=0.868305 -   1.2s
[CV] c1=1.2547106197094315, c2=0.000907980644216785 ..................
[CV]  c1=1.2547106197094315, c2=0.000907980644216785, score=0.635197 -   1.3s
[CV] c1=0.2089755585034566, c2=0.037384812021492 .....................
[CV]  c1=0.2089755585034566, c2=0.037384812021492, score=0.793437 -   1.3s
[CV] c1=0.07713950347630423, c2=0.13515943314969545 ..................
[CV]  c1=0.07713950347630423, c2=0.13515943314969545, score=0.723660 -   1.1s
[CV] c1=0.48179794918786795, c2=0.003722967636948064 .................
[CV]  c1=0.48179794918786795, c2=0.003722967636948064, score=0.777343 -   1.3s
[CV] c1=0.01938241067935208, c2=0.002892505163583267 .................
[CV]  c1=0.01938241067935208, c2=0.002892505163583267, score=0.778523 -   1.3s
[CV] c1=0.1942970342867447, c2=0.12033549683733336 ...................
[CV]  c1=0.1942970342867447, c2=0.12033549683733336, score=0.778409 -   1.2s
[CV] c1=0.5696881398084499, c2=0.026367599283794063 ..................
[CV]  c1=0.5696881398084499, c2=0.026367599283794063, score=0.874628 -   1.2s
[CV] c1=0.5671485817940609, c2=0.12438793647366497 ...................
[CV]  c1=0.5671485817940609, c2=0.12438793647366497, score=0.841770 -   0.9s
[CV] c1=0.401731848179534, c2=0.04350390505850344 ....................
[CV]  c1=0.401731848179534, c2=0.04350390505850344, score=0.791721 -   1.2s
[CV] c1=0.19178294750599562, c2=0.0524525987176392 ...................
[CV]  c1=0.19178294750599562, c2=0.0524525987176392, score=0.803391 -   1.3s
[CV] c1=0.5022065718022247, c2=0.003722686308734355 ..................
[CV]  c1=0.5022065718022247, c2=0.003722686308734355, score=0.852516 -   1.1s
[CV] c1=0.13013269228670166, c2=0.15322926241165002 ..................
[CV]  c1=0.13013269228670166, c2=0.15322926241165002, score=0.849610 -   1.2s
[CV] c1=0.3442631006849691, c2=0.053767323951739124 ..................
[CV]  c1=0.3442631006849691, c2=0.053767323951739124, score=0.785386 -   1.3s
[CV] c1=0.1666611990822612, c2=0.054953987561154806 ..................
[CV]  c1=0.1666611990822612, c2=0.054953987561154806, score=0.803391 -   1.3s
[CV] c1=0.02913709287257748, c2=0.01826590513631122 ..................
[CV]  c1=0.02913709287257748, c2=0.01826590513631122, score=0.845879 -   1.2s
[CV] c1=0.33531794287952554, c2=0.0016011707898079418 ................
[CV]  c1=0.33531794287952554, c2=0.0016011707898079418, score=0.719972 -   0.9s
[CV] c1=0.33079918178515316, c2=0.06281960529691237 ..................
[CV]  c1=0.33079918178515316, c2=0.06281960529691237, score=0.842855 -   1.2s
[CV] c1=1.169884465947651, c2=0.07826800705786718 ....................
[CV]  c1=1.169884465947651, c2=0.07826800705786718, score=0.631468 -   1.3s
[CV] c1=1.8265774455931465, c2=0.015828798350468364 ..................
[CV]  c1=1.8265774455931465, c2=0.015828798350468364, score=0.725843 -   1.2s
[CV] c1=0.13766411247414598, c2=0.03058649876870482 ..................
[CV]  c1=0.13766411247414598, c2=0.03058649876870482, score=0.798088 -   1.2s
[CV] c1=1.2588364149880353, c2=0.033213043320241296 ..................
[CV]  c1=1.2588364149880353, c2=0.033213043320241296, score=0.625881 -   1.3s
[CV] c1=0.07470820962589321, c2=0.020192381588054743 .................
[CV]  c1=0.07470820962589321, c2=0.020192381588054743, score=0.855151 -   1.2s
[CV] c1=0.5240894267777215, c2=0.062089681018159475 ..................
[CV]  c1=0.5240894267777215, c2=0.062089681018159475, score=0.782379 -   1.3s
[CV] c1=0.03636666629961213, c2=0.044307458024452295 .................
[CV]  c1=0.03636666629961213, c2=0.044307458024452295, score=0.760368 -   1.3s
[CV] c1=0.3442631006849691, c2=0.053767323951739124 ..................
[CV]  c1=0.3442631006849691, c2=0.053767323951739124, score=0.844717 -   1.2s
[CV] c1=1.1727487740929756, c2=0.07425259938391748 ...................
[CV]  c1=1.1727487740929756, c2=0.07425259938391748, score=0.860117 -   1.2s
[CV] c1=0.029255682090133548, c2=0.023894950060213492 ................
[CV]  c1=0.029255682090133548, c2=0.023894950060213492, score=0.802991 -   1.3s
[CV] c1=0.33531794287952554, c2=0.0016011707898079418 ................
[CV]  c1=0.33531794287952554, c2=0.0016011707898079418, score=0.789470 -   1.1s
[CV] c1=0.18754651777118114, c2=0.05430440796808818 ..................
[CV]  c1=0.18754651777118114, c2=0.05430440796808818, score=0.898053 -   1.3s
[CV] c1=0.19980814623137713, c2=0.133519614544015 ....................
[CV]  c1=0.19980814623137713, c2=0.133519614544015, score=0.813221 -   1.2s
[CV] c1=1.974202888635447, c2=0.009759479935977929 ...................
[CV]  c1=1.974202888635447, c2=0.009759479935977929, score=0.594413 -   1.2s
[CV] c1=0.10489226937876346, c2=0.007256525557225973 .................
[CV]  c1=0.10489226937876346, c2=0.007256525557225973, score=0.812869 -   1.2s
[CV] c1=0.5097852335082534, c2=0.04623979778477238 ...................
[CV]  c1=0.5097852335082534, c2=0.04623979778477238, score=0.723065 -   1.3s
[CV] c1=0.2085739095999278, c2=0.07372543064292818 ...................
[CV]  c1=0.2085739095999278, c2=0.07372543064292818, score=0.785386 -   1.3s
[CV] c1=0.5240894267777215, c2=0.062089681018159475 ..................
[CV]  c1=0.5240894267777215, c2=0.062089681018159475, score=0.873062 -   1.2s
[CV] c1=0.586273316957788, c2=0.0006544726723583885 ..................
[CV]  c1=0.586273316957788, c2=0.0006544726723583885, score=0.702199 -   1.3s
[CV] c1=1.3950594496266735, c2=0.07126324562944657 ...................
[CV]  c1=1.3950594496266735, c2=0.07126324562944657, score=0.792267 -   1.2s
[CV] c1=0.23956156091790962, c2=0.08690598984431766 ..................
[CV]  c1=0.23956156091790962, c2=0.08690598984431766, score=0.705818 -   1.0s
[CV] c1=1.203640341822723, c2=0.021124241438590645 ...................
[CV]  c1=1.203640341822723, c2=0.021124241438590645, score=0.856058 -   1.3s
[CV] c1=0.514873247982261, c2=0.19702348273600812 ....................
[CV]  c1=0.514873247982261, c2=0.19702348273600812, score=0.662865 -   1.1s
[CV] c1=0.09874416903658267, c2=0.11774338070484694 ..................
[CV]  c1=0.09874416903658267, c2=0.11774338070484694, score=0.779956 -   1.4s
[CV] c1=1.5091134465592362, c2=0.05665810200091283 ...................
[CV]  c1=1.5091134465592362, c2=0.05665810200091283, score=0.562158 -   1.0s
[CV] c1=0.1942970342867447, c2=0.12033549683733336 ...................
[CV]  c1=0.1942970342867447, c2=0.12033549683733336, score=0.707070 -   1.1s
[CV] c1=0.47655802309995277, c2=0.18807627669361507 ..................
[CV]  c1=0.47655802309995277, c2=0.18807627669361507, score=0.779252 -   1.3s
[CV] c1=0.5671485817940609, c2=0.12438793647366497 ...................
[CV]  c1=0.5671485817940609, c2=0.12438793647366497, score=0.691242 -   0.9s
[CV] c1=0.401731848179534, c2=0.04350390505850344 ....................
[CV]  c1=0.401731848179534, c2=0.04350390505850344, score=0.847549 -   1.2s
[CV] c1=0.19178294750599562, c2=0.0524525987176392 ...................
[CV]  c1=0.19178294750599562, c2=0.0524525987176392, score=0.901902 -   1.2s
[CV] c1=0.23652416979106017, c2=0.13046879806167663 ..................
[CV]  c1=0.23652416979106017, c2=0.13046879806167663, score=0.779862 -   1.3s
[CV] c1=0.13013269228670166, c2=0.15322926241165002 ..................
[CV]  c1=0.13013269228670166, c2=0.15322926241165002, score=0.796608 -   1.3s
[CV] c1=0.3974578884706004, c2=0.1447323415445268 ....................
[CV]  c1=0.3974578884706004, c2=0.1447323415445268, score=0.668043 -   1.0s
[CV] c1=0.1666611990822612, c2=0.054953987561154806 ..................
[CV]  c1=0.1666611990822612, c2=0.054953987561154806, score=0.871449 -   1.2s
[CV] c1=0.029255682090133548, c2=0.023894950060213492 ................
[CV]  c1=0.029255682090133548, c2=0.023894950060213492, score=0.876517 -   1.2s
[CV] c1=0.5466674633288012, c2=0.014184396148663504 ..................
[CV]  c1=0.5466674633288012, c2=0.014184396148663504, score=0.734812 -   1.0s
[CV] c1=0.3328616881331723, c2=0.043010340461932556 ..................
[CV]  c1=0.3328616881331723, c2=0.043010340461932556, score=0.793437 -   1.1s
[CV] c1=0.7074474802724238, c2=0.011095671644595314 ..................
[CV]  c1=0.7074474802724238, c2=0.011095671644595314, score=0.820222 -   1.2s
[CV] c1=0.1942970342867447, c2=0.12033549683733336 ...................
[CV]  c1=0.1942970342867447, c2=0.12033549683733336, score=0.849610 -   1.5s
[CV] c1=0.18745261652662643, c2=0.35464664115234495 ..................
[CV]  c1=0.18745261652662643, c2=0.35464664115234495, score=0.709373 -   1.0s
[CV] c1=0.5671485817940609, c2=0.12438793647366497 ...................
[CV]  c1=0.5671485817940609, c2=0.12438793647366497, score=0.778398 -   0.8s
[CV] c1=0.8717923350430852, c2=0.20037933355882825 ...................
[CV]  c1=0.8717923350430852, c2=0.20037933355882825, score=0.735731 -   0.7s
[CV] c1=1.0873800167126972, c2=0.03438164124563988 ...................
[CV]  c1=1.0873800167126972, c2=0.03438164124563988, score=0.631767 -   1.0s
[CV] c1=0.19178294750599562, c2=0.0524525987176392 ...................
[CV]  c1=0.19178294750599562, c2=0.0524525987176392, score=0.854779 -   1.2s
[CV] c1=0.23652416979106017, c2=0.13046879806167663 ..................
[CV]  c1=0.23652416979106017, c2=0.13046879806167663, score=0.834275 -   1.3s
[CV] c1=0.6029287484353966, c2=0.009754426280305957 ..................
[CV]  c1=0.6029287484353966, c2=0.009754426280305957, score=0.825630 -   1.3s
[CV] c1=0.8422744461154381, c2=0.16299451373519735 ...................
[CV]  c1=0.8422744461154381, c2=0.16299451373519735, score=0.847562 -   1.3s
[CV] c1=0.10821045911389157, c2=0.016632894314089017 .................
[CV]  c1=0.10821045911389157, c2=0.016632894314089017, score=0.803391 -   1.4s
[CV] c1=2.4111381433970878, c2=0.12310353397283463 ...................
[CV]  c1=2.4111381433970878, c2=0.12310353397283463, score=0.563158 -   1.2s
[CV] c1=0.3815207247682392, c2=0.002890580406672798 ..................
[CV]  c1=0.3815207247682392, c2=0.002890580406672798, score=0.797385 -   1.4s
[CV] c1=0.01938241067935208, c2=0.002892505163583267 .................
[CV]  c1=0.01938241067935208, c2=0.002892505163583267, score=0.799712 -   1.3s
[CV] c1=0.4816289459618855, c2=0.03514048292390907 ...................
[CV]  c1=0.4816289459618855, c2=0.03514048292390907, score=0.794430 -   1.4s
[CV] c1=0.5696881398084499, c2=0.026367599283794063 ..................
[CV]  c1=0.5696881398084499, c2=0.026367599283794063, score=0.830673 -   1.3s
[CV] c1=0.5671485817940609, c2=0.12438793647366497 ...................
[CV]  c1=0.5671485817940609, c2=0.12438793647366497, score=0.771600 -   0.9s
Training done in: 17.736222s
     Saving training model...
        Saving training model done in: 0.015057s
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Prediction done in: 0.029912s