-------------------------------- 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: Run9
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: FalseS4: True
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: 0.003700s
-------------------------------- 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     -1:ner    _
7     +1:ner  MED
8     -2:ner    _
9     +2:ner  MED
--------------------------- FeaturesTest -----------------------------
           0           1
0      lemma  delta-arca
1     postag          NN
2   -1:lemma           _
3  -1:postag          NN
4   +1:lemma           _
5  +1:postag          CD
6     -1:ner           _
7     +1:ner           _
8     -2:ner           _
9     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.322387939829594, c2=0.0172315731087796 .....................
[CV]  c1=0.322387939829594, c2=0.0172315731087796, score=0.878950 -   1.3s
[CV] c1=0.2804995161887461, c2=0.008989342729337352 ..................
[CV]  c1=0.2804995161887461, c2=0.008989342729337352, score=0.840616 -   1.2s
[CV] c1=0.7755471568969584, c2=0.052536519183681754 ..................
[CV]  c1=0.7755471568969584, c2=0.052536519183681754, score=0.673463 -   1.3s
[CV] c1=0.13293160510963473, c2=0.00431127028886698 ..................
[CV]  c1=0.13293160510963473, c2=0.00431127028886698, score=0.877708 -   1.3s
[CV] c1=0.38872519992005095, c2=0.10001461138612155 ..................
[CV]  c1=0.38872519992005095, c2=0.10001461138612155, score=0.845854 -   1.2s
[CV] c1=2.6596220353681455, c2=0.17643477320436185 ...................
[CV]  c1=2.6596220353681455, c2=0.17643477320436185, score=0.538000 -   1.0s
[CV] c1=1.9830445423542762, c2=0.12916520351774677 ...................
[CV]  c1=1.9830445423542762, c2=0.12916520351774677, score=0.534987 -   1.3s
[CV] c1=0.490955806261942, c2=0.06570019592777301 ....................
[CV]  c1=0.490955806261942, c2=0.06570019592777301, score=0.729039 -   1.0s
[CV] c1=2.547829661181671, c2=0.1637610662972182 .....................
[CV]  c1=2.547829661181671, c2=0.1637610662972182, score=0.502416 -   1.3s
[CV] c1=0.6817807242871521, c2=0.07895807756231446 ...................
[CV]  c1=0.6817807242871521, c2=0.07895807756231446, score=0.723091 -   1.2s
[CV] c1=0.13147627919089358, c2=0.07612927957754767 ..................
[CV]  c1=0.13147627919089358, c2=0.07612927957754767, score=0.664466 -   1.1s
[CV] c1=0.04533731396253281, c2=0.08356281088674326 ..................
[CV]  c1=0.04533731396253281, c2=0.08356281088674326, score=0.831498 -   1.3s
[CV] c1=0.3648974219046025, c2=0.025651053835213034 ..................
[CV]  c1=0.3648974219046025, c2=0.025651053835213034, score=0.808429 -   1.3s
[CV] c1=0.2804995161887461, c2=0.008989342729337352 ..................
[CV]  c1=0.2804995161887461, c2=0.008989342729337352, score=0.790702 -   1.3s
[CV] c1=0.2131817210054739, c2=0.0201136546024544 ....................
[CV]  c1=0.2131817210054739, c2=0.0201136546024544, score=0.666801 -   1.0s
[CV] c1=0.07862966737348483, c2=0.06686401507610978 ..................
[CV]  c1=0.07862966737348483, c2=0.06686401507610978, score=0.668637 -   1.0s
[CV] c1=0.8644138446575279, c2=0.05897656160962905 ...................
[CV]  c1=0.8644138446575279, c2=0.05897656160962905, score=0.643991 -   1.3s
[CV] c1=0.4801755332645249, c2=0.010902024857613483 ..................
[CV]  c1=0.4801755332645249, c2=0.010902024857613483, score=0.811509 -   1.3s
[CV] c1=0.03454782490861735, c2=0.028071753543313274 .................
[CV]  c1=0.03454782490861735, c2=0.028071753543313274, score=0.810820 -   1.2s
[CV] c1=0.5680883553486147, c2=0.003395354178220511 ..................
[CV]  c1=0.5680883553486147, c2=0.003395354178220511, score=0.703054 -   1.2s
[CV] c1=0.6966409733465546, c2=0.05885047928334866 ...................
[CV]  c1=0.6966409733465546, c2=0.05885047928334866, score=0.848531 -   1.2s
[CV] c1=0.6817807242871521, c2=0.07895807756231446 ...................
[CV]  c1=0.6817807242871521, c2=0.07895807756231446, score=0.848689 -   1.2s
[CV] c1=0.16724409936000836, c2=0.0103337951353634 ...................
[CV]  c1=0.16724409936000836, c2=0.0103337951353634, score=0.806540 -   1.2s
[CV] c1=0.04336079812311747, c2=0.03359280202286673 ..................
[CV]  c1=0.04336079812311747, c2=0.03359280202286673, score=0.778183 -   1.2s
[CV] c1=0.1404750259480145, c2=0.011144168996175966 ..................
[CV]  c1=0.1404750259480145, c2=0.011144168996175966, score=0.682046 -   1.0s
[CV] c1=0.15267442279670157, c2=0.06161507673129566 ..................
[CV]  c1=0.15267442279670157, c2=0.06161507673129566, score=0.782589 -   1.2s
[CV] c1=0.8727933098887942, c2=0.05721250915235918 ...................
[CV]  c1=0.8727933098887942, c2=0.05721250915235918, score=0.678202 -   1.3s
[CV] c1=0.3504096489905393, c2=0.025028929940396495 ..................
[CV]  c1=0.3504096489905393, c2=0.025028929940396495, score=0.872473 -   1.3s
[CV] c1=0.8644138446575279, c2=0.05897656160962905 ...................
[CV]  c1=0.8644138446575279, c2=0.05897656160962905, score=0.639512 -   1.3s
[CV] c1=0.9639854652013421, c2=0.12224935463512361 ...................
[CV]  c1=0.9639854652013421, c2=0.12224935463512361, score=0.579526 -   1.0s
[CV] c1=0.43403725383639125, c2=0.22351561210276946 ..................
[CV]  c1=0.43403725383639125, c2=0.22351561210276946, score=0.839391 -   1.2s
[CV] c1=0.19915756276307015, c2=0.026252334991595423 .................
[CV]  c1=0.19915756276307015, c2=0.026252334991595423, score=0.888418 -   1.3s
[CV] c1=0.041728176996094414, c2=0.07314963578728549 .................
[CV]  c1=0.041728176996094414, c2=0.07314963578728549, score=0.804790 -   1.3s
[CV] c1=1.8861612501057141, c2=0.006882537192727515 ..................
[CV]  c1=1.8861612501057141, c2=0.006882537192727515, score=0.773306 -   1.4s
[CV] c1=0.16724409936000836, c2=0.0103337951353634 ...................
[CV]  c1=0.16724409936000836, c2=0.0103337951353634, score=0.778183 -   1.3s
[CV] c1=0.5085754060438638, c2=0.1535348763078929 ....................
[CV]  c1=0.5085754060438638, c2=0.1535348763078929, score=0.750469 -   1.2s
[CV] c1=0.01086179867639161, c2=0.1318468521045757 ...................
[CV]  c1=0.01086179867639161, c2=0.1318468521045757, score=0.880288 -   1.1s
[CV] c1=0.4395177970268824, c2=0.011582839225533015 ..................
[CV]  c1=0.4395177970268824, c2=0.011582839225533015, score=0.837940 -   1.2s
[CV] c1=0.8727933098887942, c2=0.05721250915235918 ...................
[CV]  c1=0.8727933098887942, c2=0.05721250915235918, score=0.851839 -   1.3s
[CV] c1=1.0279083656809924, c2=0.028891933762546052 ..................
[CV]  c1=1.0279083656809924, c2=0.028891933762546052, score=0.664534 -   1.3s
[CV] c1=0.8644138446575279, c2=0.05897656160962905 ...................
[CV]  c1=0.8644138446575279, c2=0.05897656160962905, score=0.686615 -   1.0s
[CV] c1=0.6037660813447763, c2=0.04222243856178141 ...................
[CV]  c1=0.6037660813447763, c2=0.04222243856178141, score=0.731889 -   1.0s
[CV] c1=0.2903291338599233, c2=0.01852097248149401 ...................
[CV]  c1=0.2903291338599233, c2=0.01852097248149401, score=0.843426 -   1.3s
[CV] c1=0.8134966968271061, c2=0.20537869286539198 ...................
[CV]  c1=0.8134966968271061, c2=0.20537869286539198, score=0.615484 -   1.3s
[CV] c1=1.6082567483535326, c2=0.025588926798478337 ..................
[CV]  c1=1.6082567483535326, c2=0.025588926798478337, score=0.600582 -   1.5s
[CV] c1=0.7141054404600223, c2=0.025366598461868485 ..................
[CV]  c1=0.7141054404600223, c2=0.025366598461868485, score=0.769946 -   1.3s
[CV] c1=0.12013957491112905, c2=0.008757512006368843 .................
[CV]  c1=0.12013957491112905, c2=0.008757512006368843, score=0.772038 -   1.3s
[CV] c1=0.04336079812311747, c2=0.03359280202286673 ..................
[CV]  c1=0.04336079812311747, c2=0.03359280202286673, score=0.885044 -   1.3s
[CV] c1=0.322387939829594, c2=0.0172315731087796 .....................
[CV]  c1=0.322387939829594, c2=0.0172315731087796, score=0.842504 -   1.2s
[CV] c1=0.2804995161887461, c2=0.008989342729337352 ..................
[CV]  c1=0.2804995161887461, c2=0.008989342729337352, score=0.804077 -   1.2s
[CV] c1=0.2131817210054739, c2=0.0201136546024544 ....................
[CV]  c1=0.2131817210054739, c2=0.0201136546024544, score=0.884329 -   1.3s
[CV] c1=0.13293160510963473, c2=0.00431127028886698 ..................
[CV]  c1=0.13293160510963473, c2=0.00431127028886698, score=0.852286 -   1.4s
[CV] c1=0.2617773551216941, c2=0.00652862530181882 ...................
[CV]  c1=0.2617773551216941, c2=0.00652862530181882, score=0.847127 -   1.2s
[CV] c1=1.1004773123797236, c2=0.06119996017031407 ...................
[CV]  c1=1.1004773123797236, c2=0.06119996017031407, score=0.635294 -   1.4s
[CV] c1=0.8134966968271061, c2=0.20537869286539198 ...................
[CV]  c1=0.8134966968271061, c2=0.20537869286539198, score=0.686362 -   1.1s
[CV] c1=1.7052403881823581, c2=0.015617331952599381 ..................
[CV]  c1=1.7052403881823581, c2=0.015617331952599381, score=0.549135 -   1.3s
[CV] c1=0.45575766909231874, c2=0.03402584139932902 ..................
[CV]  c1=0.45575766909231874, c2=0.03402584139932902, score=0.735928 -   1.0s
[CV] c1=0.453372487930524, c2=0.022572157090977527 ...................
[CV]  c1=0.453372487930524, c2=0.022572157090977527, score=0.742115 -   1.3s
[CV] c1=0.6007861850233233, c2=0.027200626915122185 ..................
[CV]  c1=0.6007861850233233, c2=0.027200626915122185, score=0.817099 -   1.2s
[CV] c1=0.36960779640363867, c2=0.06068761183046639 ..................
[CV]  c1=0.36960779640363867, c2=0.06068761183046639, score=0.658842 -   1.0s
[CV] c1=0.3648974219046025, c2=0.025651053835213034 ..................
[CV]  c1=0.3648974219046025, c2=0.025651053835213034, score=0.841049 -   1.2s
[CV] c1=0.9355861366292366, c2=0.06902995329391341 ...................
[CV]  c1=0.9355861366292366, c2=0.06902995329391341, score=0.735187 -   1.2s
[CV] c1=1.2181714637950372, c2=0.06853834671397165 ...................
[CV]  c1=1.2181714637950372, c2=0.06853834671397165, score=0.567171 -   1.3s
[CV] c1=0.3304290259082732, c2=0.01729719173151392 ...................
[CV]  c1=0.3304290259082732, c2=0.01729719173151392, score=0.708923 -   1.0s
[CV] c1=0.002909527047543289, c2=0.05614426114688107 .................
[CV]  c1=0.002909527047543289, c2=0.05614426114688107, score=0.699708 -   1.0s
[CV] c1=0.6037660813447763, c2=0.04222243856178141 ...................
[CV]  c1=0.6037660813447763, c2=0.04222243856178141, score=0.783401 -   1.3s
[CV] c1=0.43403725383639125, c2=0.22351561210276946 ..................
[CV]  c1=0.43403725383639125, c2=0.22351561210276946, score=0.679913 -   1.3s
[CV] c1=0.19915756276307015, c2=0.026252334991595423 .................
[CV]  c1=0.19915756276307015, c2=0.026252334991595423, score=0.796063 -   1.3s
[CV] c1=2.547829661181671, c2=0.1637610662972182 .....................
[CV]  c1=2.547829661181671, c2=0.1637610662972182, score=0.501606 -   1.1s
[CV] c1=0.7141054404600223, c2=0.025366598461868485 ..................
[CV]  c1=0.7141054404600223, c2=0.025366598461868485, score=0.725298 -   1.0s
[CV] c1=0.1531308612541275, c2=0.008572087508247698 ..................
[CV]  c1=0.1531308612541275, c2=0.008572087508247698, score=0.802806 -   1.2s
[CV] c1=0.48803297656065, c2=0.13580030407848573 .....................
[CV]  c1=0.48803297656065, c2=0.13580030407848573, score=0.847715 -   1.7s
[CV] c1=0.1404750259480145, c2=0.011144168996175966 ..................
[CV]  c1=0.1404750259480145, c2=0.011144168996175966, score=0.793977 -   1.2s
[CV] c1=0.14164658209068165, c2=0.058800915754029785 .................
[CV]  c1=0.14164658209068165, c2=0.058800915754029785, score=0.707089 -   1.0s
[CV] c1=0.8727933098887942, c2=0.05721250915235918 ...................
[CV]  c1=0.8727933098887942, c2=0.05721250915235918, score=0.716668 -   1.2s
[CV] c1=1.0279083656809924, c2=0.028891933762546052 ..................
[CV]  c1=1.0279083656809924, c2=0.028891933762546052, score=0.672124 -   1.0s
[CV] c1=0.07373162431323503, c2=6.022010399845652e-06 ................
[CV]  c1=0.07373162431323503, c2=6.022010399845652e-06, score=0.856510 -   1.2s
[CV] c1=1.518390672326544, c2=0.09155342116181592 ....................
[CV]  c1=1.518390672326544, c2=0.09155342116181592, score=0.551806 -   1.3s
[CV] c1=0.8216387133286309, c2=0.11962319435087317 ...................
[CV]  c1=0.8216387133286309, c2=0.11962319435087317, score=0.711031 -   1.2s
[CV] c1=1.2486571240719746, c2=0.2110176722191585 ....................
[CV]  c1=1.2486571240719746, c2=0.2110176722191585, score=0.555721 -   1.3s
[CV] c1=0.041728176996094414, c2=0.07314963578728549 .................
[CV]  c1=0.041728176996094414, c2=0.07314963578728549, score=0.775877 -   1.3s
[CV] c1=1.8861612501057141, c2=0.006882537192727515 ..................
[CV]  c1=1.8861612501057141, c2=0.006882537192727515, score=0.608855 -   1.3s
[CV] c1=0.16724409936000836, c2=0.0103337951353634 ...................
[CV]  c1=0.16724409936000836, c2=0.0103337951353634, score=0.877708 -   1.3s
[CV] c1=0.04336079812311747, c2=0.03359280202286673 ..................
[CV]  c1=0.04336079812311747, c2=0.03359280202286673, score=0.810820 -   1.3s
[CV] c1=0.2696273228253173, c2=0.05125706585986435 ...................
[CV]  c1=0.2696273228253173, c2=0.05125706585986435, score=0.837930 -   1.2s
[CV] c1=0.48887032359830923, c2=0.07202104375079901 ..................
[CV]  c1=0.48887032359830923, c2=0.07202104375079901, score=0.852241 -   1.4s
[CV] c1=0.45816134200470665, c2=0.02468588532853047 ..................
[CV]  c1=0.45816134200470665, c2=0.02468588532853047, score=0.865085 -   1.2s
[CV] c1=0.07373162431323503, c2=6.022010399845652e-06 ................
[CV]  c1=0.07373162431323503, c2=6.022010399845652e-06, score=0.804894 -   1.2s
[CV] c1=1.518390672326544, c2=0.09155342116181592 ....................
[CV]  c1=1.518390672326544, c2=0.09155342116181592, score=0.641621 -   1.1s
[CV] c1=0.2903291338599233, c2=0.01852097248149401 ...................
[CV]  c1=0.2903291338599233, c2=0.01852097248149401, score=0.792419 -   1.3s
[CV] c1=0.8134966968271061, c2=0.20537869286539198 ...................
[CV]  c1=0.8134966968271061, c2=0.20537869286539198, score=0.576900 -   1.0s
[CV] c1=0.701783258062258, c2=0.1943019424805825 .....................
[CV]  c1=0.701783258062258, c2=0.1943019424805825, score=0.615484 -   1.4s
[CV] c1=0.04404231435096985, c2=0.013356125473376182 .................
[CV]  c1=0.04404231435096985, c2=0.013356125473376182, score=0.856165 -   1.1s
[CV] c1=0.453372487930524, c2=0.022572157090977527 ...................
[CV]  c1=0.453372487930524, c2=0.022572157090977527, score=0.743474 -   1.0s
[CV] c1=0.03558232383546146, c2=0.057176523161654474 .................
[CV]  c1=0.03558232383546146, c2=0.057176523161654474, score=0.896254 -   1.2s
[CV] c1=0.9569881700701819, c2=0.0038035971987255795 .................
[CV]  c1=0.9569881700701819, c2=0.0038035971987255795, score=0.680145 -   1.0s
[CV] c1=0.9289797455072654, c2=0.06372958786433988 ...................
[CV]  c1=0.9289797455072654, c2=0.06372958786433988, score=0.632604 -   1.2s
[CV] c1=0.3093353161404087, c2=0.052296979311229036 ..................
[CV]  c1=0.3093353161404087, c2=0.052296979311229036, score=0.836188 -   1.2s
[CV] c1=0.43570208930013876, c2=0.005911825329553755 .................
[CV]  c1=0.43570208930013876, c2=0.005911825329553755, score=0.844994 -   1.2s
[CV] c1=0.3504096489905393, c2=0.025028929940396495 ..................
[CV]  c1=0.3504096489905393, c2=0.025028929940396495, score=0.805617 -   1.3s
[CV] c1=0.002909527047543289, c2=0.05614426114688107 .................
[CV]  c1=0.002909527047543289, c2=0.05614426114688107, score=0.824325 -   1.3s
[CV] c1=1.1682830116381848, c2=0.0028247369944217077 .................
[CV]  c1=1.1682830116381848, c2=0.0028247369944217077, score=0.840963 -   1.2s
[CV] c1=1.9830445423542762, c2=0.12916520351774677 ...................
[CV]  c1=1.9830445423542762, c2=0.12916520351774677, score=0.752092 -   1.2s
[CV] c1=0.3853329720116973, c2=0.027401663121289277 ..................
[CV]  c1=0.3853329720116973, c2=0.027401663121289277, score=0.757347 -   1.3s
[CV] c1=0.6966409733465546, c2=0.05885047928334866 ...................
[CV]  c1=0.6966409733465546, c2=0.05885047928334866, score=0.755187 -   1.3s
[CV] c1=0.4166113612787379, c2=0.11006497714818404 ...................
[CV]  c1=0.4166113612787379, c2=0.11006497714818404, score=0.773080 -   1.3s
[CV] c1=0.03558232383546146, c2=0.057176523161654474 .................
[CV]  c1=0.03558232383546146, c2=0.057176523161654474, score=0.685077 -   1.0s
[CV] c1=0.5085754060438638, c2=0.1535348763078929 ....................
[CV]  c1=0.5085754060438638, c2=0.1535348763078929, score=0.849324 -   1.3s
[CV] c1=0.18709481580542742, c2=0.000780828049006651 .................
[CV]  c1=0.18709481580542742, c2=0.000780828049006651, score=0.733496 -   0.8s
[CV] c1=0.4395177970268824, c2=0.011582839225533015 ..................
[CV]  c1=0.4395177970268824, c2=0.011582839225533015, score=0.748532 -   1.3s
[CV] c1=0.09177999441131446, c2=0.025745424692720627 .................
[CV]  c1=0.09177999441131446, c2=0.025745424692720627, score=0.844198 -   1.1s
[CV] c1=0.45816134200470665, c2=0.02468588532853047 ..................
[CV]  c1=0.45816134200470665, c2=0.02468588532853047, score=0.834983 -   1.1s
[CV] c1=0.07373162431323503, c2=6.022010399845652e-06 ................
[CV]  c1=0.07373162431323503, c2=6.022010399845652e-06, score=0.751686 -   1.0s
[CV] c1=0.2617773551216941, c2=0.00652862530181882 ...................
[CV]  c1=0.2617773551216941, c2=0.00652862530181882, score=0.662860 -   1.0s
[CV] c1=0.5218081477540167, c2=0.03350807351490763 ...................
[CV]  c1=0.5218081477540167, c2=0.03350807351490763, score=0.811136 -   1.2s
[CV] c1=1.9336036768575655, c2=0.07434435392579959 ...................
[CV]  c1=1.9336036768575655, c2=0.07434435392579959, score=0.678245 -   1.1s
[CV] c1=0.3853329720116973, c2=0.027401663121289277 ..................
[CV]  c1=0.3853329720116973, c2=0.027401663121289277, score=0.796084 -   1.3s
[CV] c1=0.4107930433718495, c2=0.0004916634974751376 .................
[CV]  c1=0.4107930433718495, c2=0.0004916634974751376, score=0.787995 -   1.3s
[CV] c1=0.4166113612787379, c2=0.11006497714818404 ...................
[CV]  c1=0.4166113612787379, c2=0.11006497714818404, score=0.814030 -   1.2s
[CV] c1=0.13147627919089358, c2=0.07612927957754767 ..................
[CV]  c1=0.13147627919089358, c2=0.07612927957754767, score=0.779986 -   1.3s
[CV] c1=0.9569881700701819, c2=0.0038035971987255795 .................
[CV]  c1=0.9569881700701819, c2=0.0038035971987255795, score=0.680108 -   1.2s
[CV] c1=0.7731954666697496, c2=0.060748053772790016 ..................
[CV]  c1=0.7731954666697496, c2=0.060748053772790016, score=0.680185 -   1.4s
[CV] c1=0.09177999441131446, c2=0.025745424692720627 .................
[CV]  c1=0.09177999441131446, c2=0.025745424692720627, score=0.878713 -   1.2s
[CV] c1=0.45816134200470665, c2=0.02468588532853047 ..................
[CV]  c1=0.45816134200470665, c2=0.02468588532853047, score=0.747696 -   1.0s
[CV] c1=0.02913890455180816, c2=0.0722990921760073 ...................
[CV]  c1=0.02913890455180816, c2=0.0722990921760073, score=0.806887 -   1.2s
[CV] c1=0.2617773551216941, c2=0.00652862530181882 ...................
[CV]  c1=0.2617773551216941, c2=0.00652862530181882, score=0.803392 -   1.3s
[CV] c1=0.2903291338599233, c2=0.01852097248149401 ...................
[CV]  c1=0.2903291338599233, c2=0.01852097248149401, score=0.883268 -   1.2s
[CV] c1=0.16761631852777215, c2=0.0008069894591605178 ................
[CV]  c1=0.16761631852777215, c2=0.0008069894591605178, score=0.798273 -   1.3s
[CV] c1=0.2571817153337146, c2=0.01981358009957341 ...................
[CV]  c1=0.2571817153337146, c2=0.01981358009957341, score=0.657028 -   1.0s
[CV] c1=0.04404231435096985, c2=0.013356125473376182 .................
[CV]  c1=0.04404231435096985, c2=0.013356125473376182, score=0.876248 -   1.2s
[CV] c1=0.10807345941731777, c2=0.001537415773694349 .................
[CV]  c1=0.10807345941731777, c2=0.001537415773694349, score=0.772410 -   1.3s
[CV] c1=0.6007861850233233, c2=0.027200626915122185 ..................
[CV]  c1=0.6007861850233233, c2=0.027200626915122185, score=0.736562 -   1.0s
[CV] c1=0.5085754060438638, c2=0.1535348763078929 ....................
[CV]  c1=0.5085754060438638, c2=0.1535348763078929, score=0.756760 -   1.2s
[CV] c1=0.7731954666697496, c2=0.060748053772790016 ..................
[CV]  c1=0.7731954666697496, c2=0.060748053772790016, score=0.845410 -   1.2s
[CV] c1=0.11032134419596312, c2=0.0023767791472400096 ................
[CV]  c1=0.11032134419596312, c2=0.0023767791472400096, score=0.793073 -   1.2s
[CV] c1=0.2131817210054739, c2=0.0201136546024544 ....................
[CV]  c1=0.2131817210054739, c2=0.0201136546024544, score=0.773048 -   1.3s
[CV] c1=0.02913890455180816, c2=0.0722990921760073 ...................
[CV]  c1=0.02913890455180816, c2=0.0722990921760073, score=0.810892 -   1.3s
[CV] c1=1.518390672326544, c2=0.09155342116181592 ....................
[CV]  c1=1.518390672326544, c2=0.09155342116181592, score=0.795910 -   1.2s
[CV] c1=1.1004773123797236, c2=0.06119996017031407 ...................
[CV]  c1=1.1004773123797236, c2=0.06119996017031407, score=0.610502 -   1.3s
[CV] c1=0.8134966968271061, c2=0.20537869286539198 ...................
[CV]  c1=0.8134966968271061, c2=0.20537869286539198, score=0.812267 -   1.2s
[CV] c1=0.2571817153337146, c2=0.01981358009957341 ...................
[CV]  c1=0.2571817153337146, c2=0.01981358009957341, score=0.891689 -   1.2s
[CV] c1=0.04404231435096985, c2=0.013356125473376182 .................
[CV]  c1=0.04404231435096985, c2=0.013356125473376182, score=0.777791 -   1.3s
[CV] c1=0.6222355890826907, c2=0.037988121865501434 ..................
[CV]  c1=0.6222355890826907, c2=0.037988121865501434, score=0.841440 -   1.4s
[CV] c1=0.2587911413229037, c2=0.0808226049220729 ....................
[CV]  c1=0.2587911413229037, c2=0.0808226049220729, score=0.662468 -   1.0s
[CV] c1=0.5185361172660528, c2=0.008162564386360085 ..................
[CV]  c1=0.5185361172660528, c2=0.008162564386360085, score=0.746947 -   0.9s
[CV] c1=0.3648974219046025, c2=0.025651053835213034 ..................
[CV]  c1=0.3648974219046025, c2=0.025651053835213034, score=0.756870 -   1.3s
[CV] c1=0.9355861366292366, c2=0.06902995329391341 ...................
[CV]  c1=0.9355861366292366, c2=0.06902995329391341, score=0.571253 -   1.3s
[CV] c1=0.7755471568969584, c2=0.052536519183681754 ..................
[CV]  c1=0.7755471568969584, c2=0.052536519183681754, score=0.765882 -   1.2s
[CV] c1=0.3304290259082732, c2=0.01729719173151392 ...................
[CV]  c1=0.3304290259082732, c2=0.01729719173151392, score=0.777386 -   1.3s
[CV] c1=0.38872519992005095, c2=0.10001461138612155 ..................
[CV]  c1=0.38872519992005095, c2=0.10001461138612155, score=0.700091 -   1.3s
[CV] c1=1.1004773123797236, c2=0.06119996017031407 ...................
[CV]  c1=1.1004773123797236, c2=0.06119996017031407, score=0.594288 -   1.0s
[CV] c1=0.044208525293264835, c2=0.0015674899593600456 ...............
[CV]  c1=0.044208525293264835, c2=0.0015674899593600456, score=0.882240 -   1.5s
[CV] c1=1.7052403881823581, c2=0.015617331952599381 ..................
[CV]  c1=1.7052403881823581, c2=0.015617331952599381, score=0.692390 -   1.2s
[CV] c1=0.04404231435096985, c2=0.013356125473376182 .................
[CV]  c1=0.04404231435096985, c2=0.013356125473376182, score=0.679195 -   1.0s
[CV] c1=0.10807345941731777, c2=0.001537415773694349 .................
[CV]  c1=0.10807345941731777, c2=0.001537415773694349, score=0.883246 -   1.3s
[CV] c1=0.03558232383546146, c2=0.057176523161654474 .................
[CV]  c1=0.03558232383546146, c2=0.057176523161654474, score=0.807137 -   1.2s
[CV] c1=0.9569881700701819, c2=0.0038035971987255795 .................
[CV]  c1=0.9569881700701819, c2=0.0038035971987255795, score=0.750137 -   1.2s
[CV] c1=0.322387939829594, c2=0.0172315731087796 .....................
[CV]  c1=0.322387939829594, c2=0.0172315731087796, score=0.833035 -   1.3s
[CV] c1=0.11032134419596312, c2=0.0023767791472400096 ................
[CV]  c1=0.11032134419596312, c2=0.0023767791472400096, score=0.866418 -   1.2s
[CV] c1=0.2131817210054739, c2=0.0201136546024544 ....................
[CV]  c1=0.2131817210054739, c2=0.0201136546024544, score=0.787053 -   1.3s
[CV] c1=0.13293160510963473, c2=0.00431127028886698 ..................
[CV]  c1=0.13293160510963473, c2=0.00431127028886698, score=0.771460 -   1.3s
[CV] c1=0.38872519992005095, c2=0.10001461138612155 ..................
[CV]  c1=0.38872519992005095, c2=0.10001461138612155, score=0.811361 -   1.2s
[CV] c1=2.6596220353681455, c2=0.17643477320436185 ...................
[CV]  c1=2.6596220353681455, c2=0.17643477320436185, score=0.561720 -   1.2s
[CV] c1=0.044208525293264835, c2=0.0015674899593600456 ...............
[CV]  c1=0.044208525293264835, c2=0.0015674899593600456, score=0.796615 -   1.2s
[CV] c1=0.701783258062258, c2=0.1943019424805825 .....................
[CV]  c1=0.701783258062258, c2=0.1943019424805825, score=0.642031 -   1.2s
[CV] c1=0.1132131762092609, c2=0.028962910780249665 ..................
[CV]  c1=0.1132131762092609, c2=0.028962910780249665, score=0.658663 -   1.0s
[CV] c1=0.6817807242871521, c2=0.07895807756231446 ...................
[CV]  c1=0.6817807242871521, c2=0.07895807756231446, score=0.680185 -   1.3s
[CV] c1=0.13147627919089358, c2=0.07612927957754767 ..................
[CV]  c1=0.13147627919089358, c2=0.07612927957754767, score=0.782633 -   1.2s
[CV] c1=0.9569881700701819, c2=0.0038035971987255795 .................
[CV]  c1=0.9569881700701819, c2=0.0038035971987255795, score=0.854414 -   1.3s
[CV] c1=0.01086179867639161, c2=0.1318468521045757 ...................
[CV]  c1=0.01086179867639161, c2=0.1318468521045757, score=0.834800 -   1.1s
[CV] c1=0.15267442279670157, c2=0.06161507673129566 ..................
[CV]  c1=0.15267442279670157, c2=0.06161507673129566, score=0.896315 -   1.3s
[CV] c1=0.8727933098887942, c2=0.05721250915235918 ...................
[CV]  c1=0.8727933098887942, c2=0.05721250915235918, score=0.648670 -   1.3s
[CV] c1=0.3504096489905393, c2=0.025028929940396495 ..................
[CV]  c1=0.3504096489905393, c2=0.025028929940396495, score=0.842098 -   1.2s
[CV] c1=0.8644138446575279, c2=0.05897656160962905 ...................
[CV]  c1=0.8644138446575279, c2=0.05897656160962905, score=0.719388 -   1.3s
[CV] c1=0.9639854652013421, c2=0.12224935463512361 ...................
[CV]  c1=0.9639854652013421, c2=0.12224935463512361, score=0.807171 -   1.3s
[CV] c1=0.03454782490861735, c2=0.028071753543313274 .................
[CV]  c1=0.03454782490861735, c2=0.028071753543313274, score=0.775070 -   1.3s
[CV] c1=0.490955806261942, c2=0.06570019592777301 ....................
[CV]  c1=0.490955806261942, c2=0.06570019592777301, score=0.840283 -   1.4s
[CV] c1=0.1132131762092609, c2=0.028962910780249665 ..................
[CV]  c1=0.1132131762092609, c2=0.028962910780249665, score=0.895844 -   1.3s
[CV] c1=0.453372487930524, c2=0.022572157090977527 ...................
[CV]  c1=0.453372487930524, c2=0.022572157090977527, score=0.864354 -   1.3s
[CV] c1=0.6007861850233233, c2=0.027200626915122185 ..................
[CV]  c1=0.6007861850233233, c2=0.027200626915122185, score=0.711908 -   1.2s
[CV] c1=0.36960779640363867, c2=0.06068761183046639 ..................
[CV]  c1=0.36960779640363867, c2=0.06068761183046639, score=0.821671 -   1.1s
[CV] c1=0.18709481580542742, c2=0.000780828049006651 .................
[CV]  c1=0.18709481580542742, c2=0.000780828049006651, score=0.789892 -   1.3s
[CV] c1=0.9355861366292366, c2=0.06902995329391341 ...................
[CV]  c1=0.9355861366292366, c2=0.06902995329391341, score=0.822619 -   1.2s
[CV] c1=1.2181714637950372, c2=0.06853834671397165 ...................
[CV]  c1=1.2181714637950372, c2=0.06853834671397165, score=0.566384 -   1.1s
[CV] c1=2.6119358949878118, c2=0.19221383730685498 ...................
[CV]  c1=2.6119358949878118, c2=0.19221383730685498, score=0.485352 -   1.0s
[CV] c1=0.8644138446575279, c2=0.05897656160962905 ...................
[CV]  c1=0.8644138446575279, c2=0.05897656160962905, score=0.845957 -   1.3s
[CV] c1=0.4801755332645249, c2=0.010902024857613483 ..................
[CV]  c1=0.4801755332645249, c2=0.010902024857613483, score=0.771366 -   1.0s
[CV] c1=0.8216387133286309, c2=0.11962319435087317 ...................
[CV]  c1=0.8216387133286309, c2=0.11962319435087317, score=0.642031 -   1.2s
[CV] c1=1.2486571240719746, c2=0.2110176722191585 ....................
[CV]  c1=1.2486571240719746, c2=0.2110176722191585, score=0.608641 -   1.2s
[CV] c1=1.6082567483535326, c2=0.025588926798478337 ..................
[CV]  c1=1.6082567483535326, c2=0.025588926798478337, score=0.554643 -   1.3s
[CV] c1=0.7141054404600223, c2=0.025366598461868485 ..................
[CV]  c1=0.7141054404600223, c2=0.025366598461868485, score=0.684122 -   1.4s
[CV] c1=0.13949395818006816, c2=0.012026353469741185 .................
[CV]  c1=0.13949395818006816, c2=0.012026353469741185, score=0.841836 -   1.2s
[CV] c1=0.04533731396253281, c2=0.08356281088674326 ..................
[CV]  c1=0.04533731396253281, c2=0.08356281088674326, score=0.804790 -   1.5s
[CV] c1=0.18709481580542742, c2=0.000780828049006651 .................
[CV]  c1=0.18709481580542742, c2=0.000780828049006651, score=0.850831 -   1.2s
[CV] c1=0.14164658209068165, c2=0.058800915754029785 .................
[CV]  c1=0.14164658209068165, c2=0.058800915754029785, score=0.774599 -   1.3s
[CV] c1=1.2181714637950372, c2=0.06853834671397165 ...................
[CV]  c1=1.2181714637950372, c2=0.06853834671397165, score=0.632247 -   1.3s
[CV] c1=0.07862966737348483, c2=0.06686401507610978 ..................
[CV]  c1=0.07862966737348483, c2=0.06686401507610978, score=0.782644 -   1.3s
[CV] c1=0.31627943072967984, c2=0.12076970424318506 ..................
[CV]  c1=0.31627943072967984, c2=0.12076970424318506, score=0.811361 -   1.2s
[CV] c1=0.5218081477540167, c2=0.03350807351490763 ...................
[CV]  c1=0.5218081477540167, c2=0.03350807351490763, score=0.742724 -   1.0s
[CV] c1=0.03454782490861735, c2=0.028071753543313274 .................
[CV]  c1=0.03454782490861735, c2=0.028071753543313274, score=0.850273 -   1.1s
[CV] c1=0.5680883553486147, c2=0.003395354178220511 ..................
[CV]  c1=0.5680883553486147, c2=0.003395354178220511, score=0.771975 -   1.0s
[CV] c1=0.041728176996094414, c2=0.07314963578728549 .................
[CV]  c1=0.041728176996094414, c2=0.07314963578728549, score=0.705449 -   1.0s
[CV] c1=0.637220474137359, c2=0.03637646026803642 ....................
[CV]  c1=0.637220474137359, c2=0.03637646026803642, score=0.695952 -   1.4s
[CV] c1=0.12013957491112905, c2=0.008757512006368843 .................
[CV]  c1=0.12013957491112905, c2=0.008757512006368843, score=0.669056 -   1.0s
[CV] c1=0.7867086158252198, c2=0.015456132017636194 ..................
[CV]  c1=0.7867086158252198, c2=0.015456132017636194, score=0.681518 -   1.3s
[CV] c1=1.7406858256119622, c2=0.03331351280604704 ...................
[CV]  c1=1.7406858256119622, c2=0.03331351280604704, score=0.789903 -   0.9s
[CV] c1=0.3648974219046025, c2=0.025651053835213034 ..................
[CV]  c1=0.3648974219046025, c2=0.025651053835213034, score=0.874881 -   1.4s
[CV] c1=0.2804995161887461, c2=0.008989342729337352 ..................
[CV]  c1=0.2804995161887461, c2=0.008989342729337352, score=0.679830 -   1.0s
[CV] c1=0.0684994991553507, c2=0.009563899517590157 ..................
[CV]  c1=0.0684994991553507, c2=0.009563899517590157, score=0.858720 -   1.2s
[CV] c1=2.6119358949878118, c2=0.19221383730685498 ...................
[CV]  c1=2.6119358949878118, c2=0.19221383730685498, score=0.561720 -   1.3s
[CV] c1=0.002909527047543289, c2=0.05614426114688107 .................
[CV]  c1=0.002909527047543289, c2=0.05614426114688107, score=0.827463 -   1.3s
[CV] c1=1.1682830116381848, c2=0.0028247369944217077 .................
[CV]  c1=1.1682830116381848, c2=0.0028247369944217077, score=0.623999 -   1.3s
[CV] c1=1.9336036768575655, c2=0.07434435392579959 ...................
[CV]  c1=1.9336036768575655, c2=0.07434435392579959, score=0.543920 -   1.3s
[CV] c1=0.701783258062258, c2=0.1943019424805825 .....................
[CV]  c1=0.701783258062258, c2=0.1943019424805825, score=0.698887 -   1.2s
[CV] c1=0.1132131762092609, c2=0.028962910780249665 ..................
[CV]  c1=0.1132131762092609, c2=0.028962910780249665, score=0.844440 -   1.2s
[CV] c1=0.10807345941731777, c2=0.001537415773694349 .................
[CV]  c1=0.10807345941731777, c2=0.001537415773694349, score=0.850332 -   1.2s
[CV] c1=0.03558232383546146, c2=0.057176523161654474 .................
[CV]  c1=0.03558232383546146, c2=0.057176523161654474, score=0.845119 -   1.2s
[CV] c1=0.9569881700701819, c2=0.0038035971987255795 .................
[CV]  c1=0.9569881700701819, c2=0.0038035971987255795, score=0.634380 -   1.2s
[CV] c1=0.01086179867639161, c2=0.1318468521045757 ...................
[CV]  c1=0.01086179867639161, c2=0.1318468521045757, score=0.676167 -   0.9s
[CV] c1=0.4395177970268824, c2=0.011582839225533015 ..................
[CV]  c1=0.4395177970268824, c2=0.011582839225533015, score=0.865986 -   1.3s
[CV] c1=0.09177999441131446, c2=0.025745424692720627 .................
[CV]  c1=0.09177999441131446, c2=0.025745424692720627, score=0.706661 -   1.0s
[CV] c1=0.17313861476021117, c2=0.05745415498235652 ..................
[CV]  c1=0.17313861476021117, c2=0.05745415498235652, score=0.663128 -   1.0s
[CV] c1=0.3304290259082732, c2=0.01729719173151392 ...................
[CV]  c1=0.3304290259082732, c2=0.01729719173151392, score=0.813806 -   1.4s
[CV] c1=0.2617773551216941, c2=0.00652862530181882 ...................
[CV]  c1=0.2617773551216941, c2=0.00652862530181882, score=0.884739 -   1.3s
[CV] c1=0.2903291338599233, c2=0.01852097248149401 ...................
[CV]  c1=0.2903291338599233, c2=0.01852097248149401, score=0.695318 -   1.1s
[CV] c1=0.16761631852777215, c2=0.0008069894591605178 ................
[CV]  c1=0.16761631852777215, c2=0.0008069894591605178, score=0.852076 -   1.4s
[CV] c1=0.2571817153337146, c2=0.01981358009957341 ...................
[CV]  c1=0.2571817153337146, c2=0.01981358009957341, score=0.843426 -   1.3s
[CV] c1=0.637220474137359, c2=0.03637646026803642 ....................
[CV]  c1=0.637220474137359, c2=0.03637646026803642, score=0.728128 -   1.3s
[CV] c1=0.1531308612541275, c2=0.008572087508247698 ..................
[CV]  c1=0.1531308612541275, c2=0.008572087508247698, score=0.724497 -   1.0s
[CV] c1=0.7867086158252198, c2=0.015456132017636194 ..................
[CV]  c1=0.7867086158252198, c2=0.015456132017636194, score=0.714398 -   1.1s
[CV] c1=0.36960779640363867, c2=0.06068761183046639 ..................
[CV]  c1=0.36960779640363867, c2=0.06068761183046639, score=0.787514 -   1.1s
[CV] c1=0.18709481580542742, c2=0.000780828049006651 .................
[CV]  c1=0.18709481580542742, c2=0.000780828049006651, score=0.807442 -   1.3s
[CV] c1=0.9355861366292366, c2=0.06902995329391341 ...................
[CV]  c1=0.9355861366292366, c2=0.06902995329391341, score=0.645241 -   1.3s
[CV] c1=0.7755471568969584, c2=0.052536519183681754 ..................
[CV]  c1=0.7755471568969584, c2=0.052536519183681754, score=0.847220 -   1.3s
[CV] c1=0.3304290259082732, c2=0.01729719173151392 ...................
[CV]  c1=0.3304290259082732, c2=0.01729719173151392, score=0.842504 -   1.2s
[CV] c1=0.31627943072967984, c2=0.12076970424318506 ..................
[CV]  c1=0.31627943072967984, c2=0.12076970424318506, score=0.697709 -   1.0s
[CV] c1=0.9639854652013421, c2=0.12224935463512361 ...................
[CV]  c1=0.9639854652013421, c2=0.12224935463512361, score=0.693411 -   1.2s
[CV] c1=0.03454782490861735, c2=0.028071753543313274 .................
[CV]  c1=0.03454782490861735, c2=0.028071753543313274, score=0.691283 -   1.0s
[CV] c1=0.19915756276307015, c2=0.026252334991595423 .................
[CV]  c1=0.19915756276307015, c2=0.026252334991595423, score=0.665499 -   1.0s
[CV] c1=1.6082567483535326, c2=0.025588926798478337 ..................
[CV]  c1=1.6082567483535326, c2=0.025588926798478337, score=0.608252 -   1.0s
[CV] c1=0.45575766909231874, c2=0.03402584139932902 ..................
[CV]  c1=0.45575766909231874, c2=0.03402584139932902, score=0.854978 -   1.3s
[CV] c1=0.6222355890826907, c2=0.037988121865501434 ..................
[CV]  c1=0.6222355890826907, c2=0.037988121865501434, score=0.737116 -   1.0s
[CV] c1=0.6007861850233233, c2=0.027200626915122185 ..................
[CV]  c1=0.6007861850233233, c2=0.027200626915122185, score=0.843901 -   1.2s
[CV] c1=0.36960779640363867, c2=0.06068761183046639 ..................
[CV]  c1=0.36960779640363867, c2=0.06068761183046639, score=0.856609 -   1.3s
[CV] c1=0.2696273228253173, c2=0.05125706585986435 ...................
[CV]  c1=0.2696273228253173, c2=0.05125706585986435, score=0.781056 -   1.3s
[CV] c1=0.11032134419596312, c2=0.0023767791472400096 ................
[CV]  c1=0.11032134419596312, c2=0.0023767791472400096, score=0.768952 -   1.3s
[CV] c1=0.17313861476021117, c2=0.05745415498235652 ..................
[CV]  c1=0.17313861476021117, c2=0.05745415498235652, score=0.777489 -   1.3s
[CV] c1=0.02913890455180816, c2=0.0722990921760073 ...................
[CV]  c1=0.02913890455180816, c2=0.0722990921760073, score=0.844198 -   1.2s
[CV] c1=0.2617773551216941, c2=0.00652862530181882 ...................
[CV]  c1=0.2617773551216941, c2=0.00652862530181882, score=0.799747 -   1.2s
[CV] c1=1.1004773123797236, c2=0.06119996017031407 ...................
[CV]  c1=1.1004773123797236, c2=0.06119996017031407, score=0.710520 -   1.2s
[CV] c1=0.16761631852777215, c2=0.0008069894591605178 ................
[CV]  c1=0.16761631852777215, c2=0.0008069894591605178, score=0.784880 -   1.2s
[CV] c1=1.7052403881823581, c2=0.015617331952599381 ..................
[CV]  c1=1.7052403881823581, c2=0.015617331952599381, score=0.569706 -   1.0s
[CV] c1=0.4107930433718495, c2=0.0004916634974751376 .................
[CV]  c1=0.4107930433718495, c2=0.0004916634974751376, score=0.845703 -   1.0s
[CV] c1=0.6817807242871521, c2=0.07895807756231446 ...................
[CV]  c1=0.6817807242871521, c2=0.07895807756231446, score=0.683450 -   1.2s
[CV] c1=0.13147627919089358, c2=0.07612927957754767 ..................
[CV]  c1=0.13147627919089358, c2=0.07612927957754767, score=0.892144 -   1.2s
[CV] c1=0.5085754060438638, c2=0.1535348763078929 ....................
[CV]  c1=0.5085754060438638, c2=0.1535348763078929, score=0.685177 -   1.2s
[CV] c1=0.9289797455072654, c2=0.06372958786433988 ...................
[CV]  c1=0.9289797455072654, c2=0.06372958786433988, score=0.775251 -   1.2s
[CV] c1=0.3093353161404087, c2=0.052296979311229036 ..................
[CV]  c1=0.3093353161404087, c2=0.052296979311229036, score=0.771941 -   1.3s
[CV] c1=0.0684994991553507, c2=0.009563899517590157 ..................
[CV]  c1=0.0684994991553507, c2=0.009563899517590157, score=0.773914 -   1.4s
[CV] c1=0.3304290259082732, c2=0.01729719173151392 ...................
[CV]  c1=0.3304290259082732, c2=0.01729719173151392, score=0.876542 -   1.4s
[CV] c1=0.31627943072967984, c2=0.12076970424318506 ..................
[CV]  c1=0.31627943072967984, c2=0.12076970424318506, score=0.784251 -   1.3s
[CV] c1=2.6596220353681455, c2=0.17643477320436185 ...................
[CV]  c1=2.6596220353681455, c2=0.17643477320436185, score=0.513881 -   1.2s
[CV] c1=0.044208525293264835, c2=0.0015674899593600456 ...............
[CV]  c1=0.044208525293264835, c2=0.0015674899593600456, score=0.857933 -   1.2s
[CV] c1=0.701783258062258, c2=0.1943019424805825 .....................
[CV]  c1=0.701783258062258, c2=0.1943019424805825, score=0.819209 -   1.3s
[CV] c1=0.1132131762092609, c2=0.028962910780249665 ..................
[CV]  c1=0.1132131762092609, c2=0.028962910780249665, score=0.778183 -   1.3s
[CV] c1=0.453372487930524, c2=0.022572157090977527 ...................
[CV]  c1=0.453372487930524, c2=0.022572157090977527, score=0.840510 -   1.3s
[CV] c1=0.6007861850233233, c2=0.027200626915122185 ..................
[CV]  c1=0.6007861850233233, c2=0.027200626915122185, score=0.791706 -   1.3s
[CV] c1=0.5185361172660528, c2=0.008162564386360085 ..................
[CV]  c1=0.5185361172660528, c2=0.008162564386360085, score=0.860038 -   1.1s
[CV] c1=0.9289797455072654, c2=0.06372958786433988 ...................
[CV]  c1=0.9289797455072654, c2=0.06372958786433988, score=0.663790 -   0.8s
[CV] c1=0.4395177970268824, c2=0.011582839225533015 ..................
[CV]  c1=0.4395177970268824, c2=0.011582839225533015, score=0.728712 -   1.1s
[CV] c1=0.48887032359830923, c2=0.07202104375079901 ..................
[CV]  c1=0.48887032359830923, c2=0.07202104375079901, score=0.776641 -   1.3s
[CV] c1=0.17313861476021117, c2=0.05745415498235652 ..................
[CV]  c1=0.17313861476021117, c2=0.05745415498235652, score=0.777317 -   1.2s
[CV] c1=0.07373162431323503, c2=6.022010399845652e-06 ................
[CV]  c1=0.07373162431323503, c2=6.022010399845652e-06, score=0.873299 -   1.3s
[CV] c1=1.518390672326544, c2=0.09155342116181592 ....................
[CV]  c1=1.518390672326544, c2=0.09155342116181592, score=0.600582 -   1.3s
[CV] c1=0.2903291338599233, c2=0.01852097248149401 ...................
[CV]  c1=0.2903291338599233, c2=0.01852097248149401, score=0.807409 -   1.3s
[CV] c1=1.2486571240719746, c2=0.2110176722191585 ....................
[CV]  c1=1.2486571240719746, c2=0.2110176722191585, score=0.807152 -   1.2s
[CV] c1=1.6082567483535326, c2=0.025588926798478337 ..................
[CV]  c1=1.6082567483535326, c2=0.025588926798478337, score=0.793682 -   1.2s
[CV] c1=0.45575766909231874, c2=0.03402584139932902 ..................
[CV]  c1=0.45575766909231874, c2=0.03402584139932902, score=0.790606 -   1.4s
[CV] c1=0.1531308612541275, c2=0.008572087508247698 ..................
[CV]  c1=0.1531308612541275, c2=0.008572087508247698, score=0.786834 -   1.3s
[CV] c1=0.48803297656065, c2=0.13580030407848573 .....................
[CV]  c1=0.48803297656065, c2=0.13580030407848573, score=0.717382 -   1.0s
[CV] c1=0.5185361172660528, c2=0.008162564386360085 ..................
[CV]  c1=0.5185361172660528, c2=0.008162564386360085, score=0.815164 -   1.0s
[CV] c1=0.01086179867639161, c2=0.1318468521045757 ...................
[CV]  c1=0.01086179867639161, c2=0.1318468521045757, score=0.830483 -   1.3s
[CV] c1=0.14164658209068165, c2=0.058800915754029785 .................
[CV]  c1=0.14164658209068165, c2=0.058800915754029785, score=0.889887 -   1.2s
[CV] c1=0.0684994991553507, c2=0.009563899517590157 ..................
[CV]  c1=0.0684994991553507, c2=0.009563899517590157, score=0.718057 -   1.0s
[CV] c1=1.0279083656809924, c2=0.028891933762546052 ..................
[CV]  c1=1.0279083656809924, c2=0.028891933762546052, score=0.737907 -   1.1s
[CV] c1=0.03330523998045621, c2=0.037781035610760155 .................
[CV]  c1=0.03330523998045621, c2=0.037781035610760155, score=0.821911 -   1.3s
[CV] c1=0.4801755332645249, c2=0.010902024857613483 ..................
[CV]  c1=0.4801755332645249, c2=0.010902024857613483, score=0.871514 -   1.3s
[CV] c1=0.43403725383639125, c2=0.22351561210276946 ..................
[CV]  c1=0.43403725383639125, c2=0.22351561210276946, score=0.632140 -   1.1s
[CV] c1=1.2486571240719746, c2=0.2110176722191585 ....................
[CV]  c1=1.2486571240719746, c2=0.2110176722191585, score=0.565656 -   1.0s
[CV] c1=0.2571817153337146, c2=0.01981358009957341 ...................
[CV]  c1=0.2571817153337146, c2=0.01981358009957341, score=0.790999 -   1.3s
[CV] c1=0.45575766909231874, c2=0.03402584139932902 ..................
[CV]  c1=0.45575766909231874, c2=0.03402584139932902, score=0.819358 -   1.3s
[CV] c1=0.6222355890826907, c2=0.037988121865501434 ..................
[CV]  c1=0.6222355890826907, c2=0.037988121865501434, score=0.772091 -   1.2s
[CV] c1=0.7867086158252198, c2=0.015456132017636194 ..................
[CV]  c1=0.7867086158252198, c2=0.015456132017636194, score=0.680447 -   1.3s
[CV] c1=1.7406858256119622, c2=0.03331351280604704 ...................
[CV]  c1=1.7406858256119622, c2=0.03331351280604704, score=0.599563 -   0.9s
[CV] c1=0.1404750259480145, c2=0.011144168996175966 ..................
[CV]  c1=0.1404750259480145, c2=0.011144168996175966, score=0.873444 -   1.0s
[CV] c1=0.4395177970268824, c2=0.011582839225533015 ..................
[CV]  c1=0.4395177970268824, c2=0.011582839225533015, score=0.811509 -   1.3s
[CV] c1=0.8727933098887942, c2=0.05721250915235918 ...................
[CV]  c1=0.8727933098887942, c2=0.05721250915235918, score=0.665677 -   1.0s
[CV] c1=0.45816134200470665, c2=0.02468588532853047 ..................
[CV]  c1=0.45816134200470665, c2=0.02468588532853047, score=0.742139 -   1.2s
[CV] c1=0.07373162431323503, c2=6.022010399845652e-06 ................
[CV]  c1=0.07373162431323503, c2=6.022010399845652e-06, score=0.807442 -   1.4s
[CV] c1=0.6037660813447763, c2=0.04222243856178141 ...................
[CV]  c1=0.6037660813447763, c2=0.04222243856178141, score=0.768550 -   1.1s
[CV] c1=0.8216387133286309, c2=0.11962319435087317 ...................
[CV]  c1=0.8216387133286309, c2=0.11962319435087317, score=0.602121 -   1.0s
[CV] c1=0.8134966968271061, c2=0.20537869286539198 ...................
[CV]  c1=0.8134966968271061, c2=0.20537869286539198, score=0.642031 -   1.3s
[CV] c1=0.2571817153337146, c2=0.01981358009957341 ...................
[CV]  c1=0.2571817153337146, c2=0.01981358009957341, score=0.813806 -   1.3s
[CV] c1=0.637220474137359, c2=0.03637646026803642 ....................
[CV]  c1=0.637220474137359, c2=0.03637646026803642, score=0.839888 -   1.2s
[CV] c1=0.6222355890826907, c2=0.037988121865501434 ..................
[CV]  c1=0.6222355890826907, c2=0.037988121865501434, score=0.781645 -   1.3s
[CV] c1=0.2587911413229037, c2=0.0808226049220729 ....................
[CV]  c1=0.2587911413229037, c2=0.0808226049220729, score=0.832722 -   1.2s
[CV] c1=1.7406858256119622, c2=0.03331351280604704 ...................
[CV]  c1=1.7406858256119622, c2=0.03331351280604704, score=0.681411 -   0.9s
[CV] c1=0.7731954666697496, c2=0.060748053772790016 ..................
[CV]  c1=0.7731954666697496, c2=0.060748053772790016, score=0.677165 -   1.3s
[CV] c1=0.48887032359830923, c2=0.07202104375079901 ..................
[CV]  c1=0.48887032359830923, c2=0.07202104375079901, score=0.784980 -   1.2s
[CV] c1=0.17313861476021117, c2=0.05745415498235652 ..................
[CV]  c1=0.17313861476021117, c2=0.05745415498235652, score=0.892144 -   1.2s
[CV] c1=0.02913890455180816, c2=0.0722990921760073 ...................
[CV]  c1=0.02913890455180816, c2=0.0722990921760073, score=0.892119 -   1.3s
[CV] c1=0.38872519992005095, c2=0.10001461138612155 ..................
[CV]  c1=0.38872519992005095, c2=0.10001461138612155, score=0.781820 -   1.2s
[CV] c1=2.6596220353681455, c2=0.17643477320436185 ...................
[CV]  c1=2.6596220353681455, c2=0.17643477320436185, score=0.501126 -   1.2s
[CV] c1=0.16761631852777215, c2=0.0008069894591605178 ................
[CV]  c1=0.16761631852777215, c2=0.0008069894591605178, score=0.886592 -   1.2s
[CV] c1=1.7052403881823581, c2=0.015617331952599381 ..................
[CV]  c1=1.7052403881823581, c2=0.015617331952599381, score=0.794286 -   1.2s
[CV] c1=0.1132131762092609, c2=0.028962910780249665 ..................
[CV]  c1=0.1132131762092609, c2=0.028962910780249665, score=0.797924 -   1.2s
[CV] c1=0.10807345941731777, c2=0.001537415773694349 .................
[CV]  c1=0.10807345941731777, c2=0.001537415773694349, score=0.803243 -   1.3s
[CV] c1=0.03558232383546146, c2=0.057176523161654474 .................
[CV]  c1=0.03558232383546146, c2=0.057176523161654474, score=0.813697 -   1.3s
[CV] c1=0.36960779640363867, c2=0.06068761183046639 ..................
[CV]  c1=0.36960779640363867, c2=0.06068761183046639, score=0.746992 -   1.2s
[CV] c1=0.322387939829594, c2=0.0172315731087796 .....................
[CV]  c1=0.322387939829594, c2=0.0172315731087796, score=0.700758 -   1.0s
[CV] c1=0.14164658209068165, c2=0.058800915754029785 .................
[CV]  c1=0.14164658209068165, c2=0.058800915754029785, score=0.794240 -   1.2s
[CV] c1=1.2181714637950372, c2=0.06853834671397165 ...................
[CV]  c1=1.2181714637950372, c2=0.06853834671397165, score=0.811304 -   1.3s
[CV] c1=0.07862966737348483, c2=0.06686401507610978 ..................
[CV]  c1=0.07862966737348483, c2=0.06686401507610978, score=0.844198 -   1.3s
[CV] c1=0.31627943072967984, c2=0.12076970424318506 ..................
[CV]  c1=0.31627943072967984, c2=0.12076970424318506, score=0.859194 -   1.3s
[CV] c1=0.5218081477540167, c2=0.03350807351490763 ...................
[CV]  c1=0.5218081477540167, c2=0.03350807351490763, score=0.794039 -   1.3s
[CV] c1=0.044208525293264835, c2=0.0015674899593600456 ...............
[CV]  c1=0.044208525293264835, c2=0.0015674899593600456, score=0.783004 -   1.3s
[CV] c1=1.7052403881823581, c2=0.015617331952599381 ..................
[CV]  c1=1.7052403881823581, c2=0.015617331952599381, score=0.603643 -   1.4s
[CV] c1=0.45575766909231874, c2=0.03402584139932902 ..................
[CV]  c1=0.45575766909231874, c2=0.03402584139932902, score=0.731996 -   1.2s
[CV] c1=0.6222355890826907, c2=0.037988121865501434 ..................
[CV]  c1=0.6222355890826907, c2=0.037988121865501434, score=0.695520 -   1.3s
[CV] c1=0.7867086158252198, c2=0.015456132017636194 ..................
[CV]  c1=0.7867086158252198, c2=0.015456132017636194, score=0.729882 -   1.2s
[CV] c1=0.5185361172660528, c2=0.008162564386360085 ..................
[CV]  c1=0.5185361172660528, c2=0.008162564386360085, score=0.742203 -   1.1s
[CV] c1=0.2696273228253173, c2=0.05125706585986435 ...................
[CV]  c1=0.2696273228253173, c2=0.05125706585986435, score=0.879394 -   1.3s
[CV] c1=0.11032134419596312, c2=0.0023767791472400096 ................
[CV]  c1=0.11032134419596312, c2=0.0023767791472400096, score=0.737489 -   1.0s
[CV] c1=1.2181714637950372, c2=0.06853834671397165 ...................
[CV]  c1=1.2181714637950372, c2=0.06853834671397165, score=0.706101 -   1.2s
[CV] c1=0.07862966737348483, c2=0.06686401507610978 ..................
[CV]  c1=0.07862966737348483, c2=0.06686401507610978, score=0.804790 -   1.2s
[CV] c1=0.18899837421750548, c2=0.07708829359792886 ..................
[CV]  c1=0.18899837421750548, c2=0.07708829359792886, score=0.832722 -   1.2s
[CV] c1=1.1682830116381848, c2=0.0028247369944217077 .................
[CV]  c1=1.1682830116381848, c2=0.0028247369944217077, score=0.737907 -   1.2s
[CV] c1=1.9830445423542762, c2=0.12916520351774677 ...................
[CV]  c1=1.9830445423542762, c2=0.12916520351774677, score=0.617648 -   1.1s
[CV] c1=0.3853329720116973, c2=0.027401663121289277 ..................
[CV]  c1=0.3853329720116973, c2=0.027401663121289277, score=0.705374 -   1.0s
[CV] c1=0.041728176996094414, c2=0.07314963578728549 .................
[CV]  c1=0.041728176996094414, c2=0.07314963578728549, score=0.844198 -   1.1s
[CV] c1=0.7141054404600223, c2=0.025366598461868485 ..................
[CV]  c1=0.7141054404600223, c2=0.025366598461868485, score=0.852527 -   1.1s
[CV] c1=0.1531308612541275, c2=0.008572087508247698 ..................
[CV]  c1=0.1531308612541275, c2=0.008572087508247698, score=0.845282 -   1.1s
[CV] c1=0.2587911413229037, c2=0.0808226049220729 ....................
[CV]  c1=0.2587911413229037, c2=0.0808226049220729, score=0.873420 -   1.3s
[CV] c1=1.7406858256119622, c2=0.03331351280604704 ...................
[CV]  c1=1.7406858256119622, c2=0.03331351280604704, score=0.603643 -   0.9s
[CV] c1=0.18709481580542742, c2=0.000780828049006651 .................
[CV]  c1=0.18709481580542742, c2=0.000780828049006651, score=0.875900 -   1.0s
[CV] c1=0.15267442279670157, c2=0.06161507673129566 ..................
[CV]  c1=0.15267442279670157, c2=0.06161507673129566, score=0.777317 -   1.2s
[CV] c1=0.43570208930013876, c2=0.005911825329553755 .................
[CV]  c1=0.43570208930013876, c2=0.005911825329553755, score=0.771366 -   1.0s
[CV] c1=1.0279083656809924, c2=0.028891933762546052 ..................
[CV]  c1=1.0279083656809924, c2=0.028891933762546052, score=0.849767 -   1.2s
[CV] c1=0.03330523998045621, c2=0.037781035610760155 .................
[CV]  c1=0.03330523998045621, c2=0.037781035610760155, score=0.885922 -   1.3s
[CV] c1=0.6037660813447763, c2=0.04222243856178141 ...................
[CV]  c1=0.6037660813447763, c2=0.04222243856178141, score=0.844333 -   1.2s
[CV] c1=0.8216387133286309, c2=0.11962319435087317 ...................
[CV]  c1=0.8216387133286309, c2=0.11962319435087317, score=0.823196 -   1.3s
[CV] c1=1.2486571240719746, c2=0.2110176722191585 ....................
[CV]  c1=1.2486571240719746, c2=0.2110176722191585, score=0.686569 -   1.2s
[CV] c1=1.6082567483535326, c2=0.025588926798478337 ..................
[CV]  c1=1.6082567483535326, c2=0.025588926798478337, score=0.699104 -   1.2s
[CV] c1=0.637220474137359, c2=0.03637646026803642 ....................
[CV]  c1=0.637220474137359, c2=0.03637646026803642, score=0.788629 -   1.2s
[CV] c1=0.1531308612541275, c2=0.008572087508247698 ..................
[CV]  c1=0.1531308612541275, c2=0.008572087508247698, score=0.884566 -   1.2s
[CV] c1=0.2587911413229037, c2=0.0808226049220729 ....................
[CV]  c1=0.2587911413229037, c2=0.0808226049220729, score=0.743754 -   1.3s
[CV] c1=1.7406858256119622, c2=0.03331351280604704 ...................
[CV]  c1=1.7406858256119622, c2=0.03331351280604704, score=0.556344 -   0.9s
[CV] c1=0.1404750259480145, c2=0.011144168996175966 ..................
[CV]  c1=0.1404750259480145, c2=0.011144168996175966, score=0.811087 -   1.3s
[CV] c1=0.14164658209068165, c2=0.058800915754029785 .................
[CV]  c1=0.14164658209068165, c2=0.058800915754029785, score=0.845119 -   1.2s
[CV] c1=0.0684994991553507, c2=0.009563899517590157 ..................
[CV]  c1=0.0684994991553507, c2=0.009563899517590157, score=0.810820 -   1.3s
[CV] c1=2.6119358949878118, c2=0.19221383730685498 ...................
[CV]  c1=2.6119358949878118, c2=0.19221383730685498, score=0.502416 -   1.4s
[CV] c1=0.31627943072967984, c2=0.12076970424318506 ..................
[CV]  c1=0.31627943072967984, c2=0.12076970424318506, score=0.723853 -   1.3s
[CV] c1=2.6596220353681455, c2=0.17643477320436185 ...................
[CV]  c1=2.6596220353681455, c2=0.17643477320436185, score=0.626281 -   1.3s
[CV] c1=0.044208525293264835, c2=0.0015674899593600456 ...............
[CV]  c1=0.044208525293264835, c2=0.0015674899593600456, score=0.766376 -   1.0s
[CV] c1=0.3853329720116973, c2=0.027401663121289277 ..................
[CV]  c1=0.3853329720116973, c2=0.027401663121289277, score=0.835450 -   1.2s
[CV] c1=0.6966409733465546, c2=0.05885047928334866 ...................
[CV]  c1=0.6966409733465546, c2=0.05885047928334866, score=0.746072 -   1.3s
[CV] c1=0.4166113612787379, c2=0.11006497714818404 ...................
[CV]  c1=0.4166113612787379, c2=0.11006497714818404, score=0.651247 -   1.0s
[CV] c1=0.13949395818006816, c2=0.012026353469741185 .................
[CV]  c1=0.13949395818006816, c2=0.012026353469741185, score=0.886750 -   1.2s
[CV] c1=0.04533731396253281, c2=0.08356281088674326 ..................
[CV]  c1=0.04533731396253281, c2=0.08356281088674326, score=0.685721 -   1.0s
[CV] c1=0.060553602397758935, c2=0.012669259098105927 ................
[CV]  c1=0.060553602397758935, c2=0.012669259098105927, score=0.690797 -   0.8s
[CV] c1=0.7731954666697496, c2=0.060748053772790016 ..................
[CV]  c1=0.7731954666697496, c2=0.060748053772790016, score=0.725817 -   1.2s
[CV] c1=0.48887032359830923, c2=0.07202104375079901 ..................
[CV]  c1=0.48887032359830923, c2=0.07202104375079901, score=0.736562 -   1.0s
[CV] c1=0.7755471568969584, c2=0.052536519183681754 ..................
[CV]  c1=0.7755471568969584, c2=0.052536519183681754, score=0.675986 -   1.3s
[CV] c1=0.13293160510963473, c2=0.00431127028886698 ..................
[CV]  c1=0.13293160510963473, c2=0.00431127028886698, score=0.802302 -   1.2s
[CV] c1=0.38872519992005095, c2=0.10001461138612155 ..................
[CV]  c1=0.38872519992005095, c2=0.10001461138612155, score=0.692787 -   1.0s
[CV] c1=1.1682830116381848, c2=0.0028247369944217077 .................
[CV]  c1=1.1682830116381848, c2=0.0028247369944217077, score=0.651879 -   1.0s
[CV] c1=0.43403725383639125, c2=0.22351561210276946 ..................
[CV]  c1=0.43403725383639125, c2=0.22351561210276946, score=0.750615 -   1.4s
[CV] c1=0.5680883553486147, c2=0.003395354178220511 ..................
[CV]  c1=0.5680883553486147, c2=0.003395354178220511, score=0.787797 -   1.3s
[CV] c1=0.6966409733465546, c2=0.05885047928334866 ...................
[CV]  c1=0.6966409733465546, c2=0.05885047928334866, score=0.685438 -   1.3s
[CV] c1=0.4166113612787379, c2=0.11006497714818404 ...................
[CV]  c1=0.4166113612787379, c2=0.11006497714818404, score=0.854461 -   1.1s
[CV] c1=0.13949395818006816, c2=0.012026353469741185 .................
[CV]  c1=0.13949395818006816, c2=0.012026353469741185, score=0.775371 -   1.3s
[CV] c1=0.04336079812311747, c2=0.03359280202286673 ..................
[CV]  c1=0.04336079812311747, c2=0.03359280202286673, score=0.680437 -   1.0s
[CV] c1=0.060553602397758935, c2=0.012669259098105927 ................
[CV]  c1=0.060553602397758935, c2=0.012669259098105927, score=0.777791 -   0.9s
[CV] c1=0.7731954666697496, c2=0.060748053772790016 ..................
[CV]  c1=0.7731954666697496, c2=0.060748053772790016, score=0.669205 -   1.0s
[CV] c1=0.2804995161887461, c2=0.008989342729337352 ..................
[CV]  c1=0.2804995161887461, c2=0.008989342729337352, score=0.886247 -   1.2s
[CV] c1=0.7755471568969584, c2=0.052536519183681754 ..................
[CV]  c1=0.7755471568969584, c2=0.052536519183681754, score=0.694646 -   1.0s
[CV] c1=0.07862966737348483, c2=0.06686401507610978 ..................
[CV]  c1=0.07862966737348483, c2=0.06686401507610978, score=0.892587 -   1.2s
[CV] c1=0.18899837421750548, c2=0.07708829359792886 ..................
[CV]  c1=0.18899837421750548, c2=0.07708829359792886, score=0.766440 -   1.3s
[CV] c1=0.5218081477540167, c2=0.03350807351490763 ...................
[CV]  c1=0.5218081477540167, c2=0.03350807351490763, score=0.846358 -   1.2s
[CV] c1=1.9336036768575655, c2=0.07434435392579959 ...................
[CV]  c1=1.9336036768575655, c2=0.07434435392579959, score=0.589578 -   1.3s
[CV] c1=0.701783258062258, c2=0.1943019424805825 .....................
[CV]  c1=0.701783258062258, c2=0.1943019424805825, score=0.656195 -   1.1s
[CV] c1=0.4107930433718495, c2=0.0004916634974751376 .................
[CV]  c1=0.4107930433718495, c2=0.0004916634974751376, score=0.868298 -   1.3s
[CV] c1=0.10807345941731777, c2=0.001537415773694349 .................
[CV]  c1=0.10807345941731777, c2=0.001537415773694349, score=0.754825 -   1.0s
[CV] c1=0.16724409936000836, c2=0.0103337951353634 ...................
[CV]  c1=0.16724409936000836, c2=0.0103337951353634, score=0.849731 -   1.2s
[CV] c1=0.04336079812311747, c2=0.03359280202286673 ..................
[CV]  c1=0.04336079812311747, c2=0.03359280202286673, score=0.839828 -   1.2s
[CV] c1=0.38197345489768614, c2=0.047878679636196575 .................
[CV]  c1=0.38197345489768614, c2=0.047878679636196575, score=0.796534 -   0.8s
Training done in: 17.140899s
     Saving training model...
        Saving training model done in: 0.013049s
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Prediction done in: 0.027189s