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

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Run3_v12.txt 72.5 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run3
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: FalseS4: False
Run variant: 12
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: 0.003713s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0      1
0       lemma      :
1      postag      :
2    -1:lemma     in
3   -1:postag     IN
4    +1:lemma     m9
5   +1:postag     NN
6        word      :
7     isUpper  False
8     isLower  False
9     isGreek  False
10   isNumber  False
11    -1:word     in
12    +1:word     M9
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.544331463550695, c2=0.003124847489675923 ...................
[CV]  c1=0.544331463550695, c2=0.003124847489675923, score=0.758529 -   1.4s
[CV] c1=0.07441656717644117, c2=0.05125178477695386 ..................
[CV]  c1=0.07441656717644117, c2=0.05125178477695386, score=0.826880 -   1.4s
[CV] c1=0.786388867605131, c2=0.006563547393048118 ...................
[CV]  c1=0.786388867605131, c2=0.006563547393048118, score=0.744402 -   1.3s
[CV] c1=0.20583300116191122, c2=0.10450791145031822 ..................
[CV]  c1=0.20583300116191122, c2=0.10450791145031822, score=0.824409 -   1.4s
[CV] c1=0.32717999022475214, c2=0.10688582537518981 ..................
[CV]  c1=0.32717999022475214, c2=0.10688582537518981, score=0.882555 -   1.4s
[CV] c1=0.0432893721470305, c2=0.0012411055951942634 .................
[CV]  c1=0.0432893721470305, c2=0.0012411055951942634, score=0.688496 -   1.1s
[CV] c1=0.4525666390333342, c2=0.03702980621784213 ...................
[CV]  c1=0.4525666390333342, c2=0.03702980621784213, score=0.685769 -   1.0s
[CV] c1=0.04868982300712571, c2=0.015059161813145708 .................
[CV]  c1=0.04868982300712571, c2=0.015059161813145708, score=0.690029 -   1.1s
[CV] c1=0.854921662489187, c2=0.05730591228665777 ....................
[CV]  c1=0.854921662489187, c2=0.05730591228665777, score=0.788241 -   1.3s
[CV] c1=0.461150098535041, c2=0.09738463194025582 ....................
[CV]  c1=0.461150098535041, c2=0.09738463194025582, score=0.730215 -   1.4s
[CV] c1=0.33350569757449683, c2=0.03874807589636396 ..................
[CV]  c1=0.33350569757449683, c2=0.03874807589636396, score=0.893690 -   1.4s
[CV] c1=0.11298706377060201, c2=0.0348598087694621 ...................
[CV]  c1=0.11298706377060201, c2=0.0348598087694621, score=0.816750 -   1.4s
[CV] c1=1.2348849736842997, c2=0.016613016197119107 ..................
[CV]  c1=1.2348849736842997, c2=0.016613016197119107, score=0.814338 -   1.4s
[CV] c1=0.36281472306025975, c2=0.024631215202557965 .................
[CV]  c1=0.36281472306025975, c2=0.024631215202557965, score=0.699948 -   1.1s
[CV] c1=0.7682213840025478, c2=0.058786452269390714 ..................
[CV]  c1=0.7682213840025478, c2=0.058786452269390714, score=0.858504 -   1.4s
[CV] c1=0.7150480749426072, c2=0.008155512876444834 ..................
[CV]  c1=0.7150480749426072, c2=0.008155512876444834, score=0.718876 -   1.4s
[CV] c1=0.1971520804010086, c2=0.04346819694505129 ...................
[CV]  c1=0.1971520804010086, c2=0.04346819694505129, score=0.811645 -   1.4s
[CV] c1=0.4038096909866398, c2=0.03934935023972845 ...................
[CV]  c1=0.4038096909866398, c2=0.03934935023972845, score=0.687046 -   1.1s
[CV] c1=0.36227824705563044, c2=0.0032423470957740133 ................
[CV]  c1=0.36227824705563044, c2=0.0032423470957740133, score=0.808864 -   1.5s
[CV] c1=0.957004203307135, c2=0.014989925315925613 ...................
[CV]  c1=0.957004203307135, c2=0.014989925315925613, score=0.626785 -   1.4s
[CV] c1=0.7131630824892042, c2=0.02178938724113383 ...................
[CV]  c1=0.7131630824892042, c2=0.02178938724113383, score=0.701672 -   1.4s
[CV] c1=0.21926470689044822, c2=0.029178280032840506 .................
[CV]  c1=0.21926470689044822, c2=0.029178280032840506, score=0.668577 -   1.2s
[CV] c1=0.5369864870335218, c2=0.1816111284669473 ....................
[CV]  c1=0.5369864870335218, c2=0.1816111284669473, score=0.799245 -   1.2s
[CV] c1=0.36239765903149956, c2=0.006811223719955329 .................
[CV]  c1=0.36239765903149956, c2=0.006811223719955329, score=0.897230 -   1.3s
[CV] c1=1.2348849736842997, c2=0.016613016197119107 ..................
[CV]  c1=1.2348849736842997, c2=0.016613016197119107, score=0.631080 -   1.4s
[CV] c1=0.36281472306025975, c2=0.024631215202557965 .................
[CV]  c1=0.36281472306025975, c2=0.024631215202557965, score=0.823922 -   1.3s
[CV] c1=0.7566491018858174, c2=0.09339442136749426 ...................
[CV]  c1=0.7566491018858174, c2=0.09339442136749426, score=0.790451 -   1.3s
[CV] c1=0.5291735249201137, c2=0.008382010923676938 ..................
[CV]  c1=0.5291735249201137, c2=0.008382010923676938, score=0.808551 -   1.3s
[CV] c1=0.1365159431004061, c2=0.060302023653829 .....................
[CV]  c1=0.1365159431004061, c2=0.060302023653829, score=0.793313 -   1.4s
[CV] c1=0.4038096909866398, c2=0.03934935023972845 ...................
[CV]  c1=0.4038096909866398, c2=0.03934935023972845, score=0.794539 -   1.5s
[CV] c1=0.07103097710884178, c2=0.03347608990310143 ..................
[CV]  c1=0.07103097710884178, c2=0.03347608990310143, score=0.830049 -   1.4s
[CV] c1=0.039555262747434046, c2=0.04972593596576458 .................
[CV]  c1=0.039555262747434046, c2=0.04972593596576458, score=0.874875 -   1.4s
[CV] c1=0.3983514595845029, c2=0.09518895348936861 ...................
[CV]  c1=0.3983514595845029, c2=0.09518895348936861, score=0.822193 -   1.3s
[CV] c1=0.26320024875119874, c2=0.0006598061410221684 ................
[CV]  c1=0.26320024875119874, c2=0.0006598061410221684, score=0.854672 -   1.3s
[CV] c1=0.15878588375081998, c2=0.06263450918293277 ..................
[CV]  c1=0.15878588375081998, c2=0.06263450918293277, score=0.666178 -   1.1s
[CV] c1=0.36239765903149956, c2=0.006811223719955329 .................
[CV]  c1=0.36239765903149956, c2=0.006811223719955329, score=0.823922 -   1.3s
[CV] c1=1.760120504866678, c2=0.041270778702704465 ...................
[CV]  c1=1.760120504866678, c2=0.041270778702704465, score=0.537407 -   1.3s
[CV] c1=1.5881005457949107, c2=0.03769678311079603 ...................
[CV]  c1=1.5881005457949107, c2=0.03769678311079603, score=0.710786 -   1.3s
[CV] c1=1.5037987148019318, c2=0.01608010929548141 ...................
[CV]  c1=1.5037987148019318, c2=0.01608010929548141, score=0.600741 -   1.4s
[CV] c1=0.21429295211874821, c2=0.12836345401595348 ..................
[CV]  c1=0.21429295211874821, c2=0.12836345401595348, score=0.813414 -   1.4s
[CV] c1=0.14031383612794537, c2=0.045126989450395574 .................
[CV]  c1=0.14031383612794537, c2=0.045126989450395574, score=0.815346 -   1.4s
[CV] c1=0.21405427497842347, c2=0.050007584246172666 .................
[CV]  c1=0.21405427497842347, c2=0.050007584246172666, score=0.895684 -   1.4s
[CV] c1=0.22738857555962, c2=0.06043053451746051 .....................
[CV]  c1=0.22738857555962, c2=0.06043053451746051, score=0.663840 -   1.3s
[CV] c1=0.957004203307135, c2=0.014989925315925613 ...................
[CV]  c1=0.957004203307135, c2=0.014989925315925613, score=0.662194 -   1.1s
[CV] c1=0.854921662489187, c2=0.05730591228665777 ....................
[CV]  c1=0.854921662489187, c2=0.05730591228665777, score=0.671890 -   1.4s
[CV] c1=0.461150098535041, c2=0.09738463194025582 ....................
[CV]  c1=0.461150098535041, c2=0.09738463194025582, score=0.787625 -   1.4s
[CV] c1=0.33350569757449683, c2=0.03874807589636396 ..................
[CV]  c1=0.33350569757449683, c2=0.03874807589636396, score=0.824409 -   1.4s
[CV] c1=0.11298706377060201, c2=0.0348598087694621 ...................
[CV]  c1=0.11298706377060201, c2=0.0348598087694621, score=0.783954 -   1.5s
[CV] c1=1.0156392999203145, c2=0.17570813996623968 ...................
[CV]  c1=1.0156392999203145, c2=0.17570813996623968, score=0.648644 -   1.3s
[CV] c1=0.02760809092832949, c2=0.03433953633725689 ..................
[CV]  c1=0.02760809092832949, c2=0.03433953633725689, score=0.680404 -   1.0s
[CV] c1=0.35908775212908967, c2=0.08959621230030236 ..................
[CV]  c1=0.35908775212908967, c2=0.08959621230030236, score=0.819201 -   1.4s
[CV] c1=0.05801120517229356, c2=0.05144282199308062 ..................
[CV]  c1=0.05801120517229356, c2=0.05144282199308062, score=0.829207 -   1.4s
[CV] c1=0.2530384892434057, c2=0.115749017911931 .....................
[CV]  c1=0.2530384892434057, c2=0.115749017911931, score=0.824634 -   1.3s
[CV] c1=0.05354562666006231, c2=0.03945949665078987 ..................
[CV]  c1=0.05354562666006231, c2=0.03945949665078987, score=0.781398 -   1.4s
[CV] c1=0.36227824705563044, c2=0.0032423470957740133 ................
[CV]  c1=0.36227824705563044, c2=0.0032423470957740133, score=0.808095 -   1.4s
[CV] c1=0.6003947384452487, c2=0.036281011637110824 ..................
[CV]  c1=0.6003947384452487, c2=0.036281011637110824, score=0.715049 -   1.4s
[CV] c1=0.4218916393127991, c2=0.01383256196330212 ...................
[CV]  c1=0.4218916393127991, c2=0.01383256196330212, score=0.700230 -   1.2s
[CV] c1=0.461150098535041, c2=0.09738463194025582 ....................
[CV]  c1=0.461150098535041, c2=0.09738463194025582, score=0.663784 -   1.1s
[CV] c1=0.10464836570775639, c2=0.11800048877059358 ..................
[CV]  c1=0.10464836570775639, c2=0.11800048877059358, score=0.881547 -   1.4s
[CV] c1=0.4934702529548433, c2=0.024955808495108603 ..................
[CV]  c1=0.4934702529548433, c2=0.024955808495108603, score=0.680736 -   1.1s
[CV] c1=0.3353430141364603, c2=0.01891179173100898 ...................
[CV]  c1=0.3353430141364603, c2=0.01891179173100898, score=0.670949 -   0.9s
[CV] c1=0.5096329012332254, c2=0.029267105300454017 ..................
[CV]  c1=0.5096329012332254, c2=0.029267105300454017, score=0.682186 -   1.2s
[CV] c1=0.026124881439858985, c2=0.014313649255369001 ................
[CV]  c1=0.026124881439858985, c2=0.014313649255369001, score=0.830028 -   1.4s
[CV] c1=0.786388867605131, c2=0.006563547393048118 ...................
[CV]  c1=0.786388867605131, c2=0.006563547393048118, score=0.844432 -   1.3s
[CV] c1=0.20583300116191122, c2=0.10450791145031822 ..................
[CV]  c1=0.20583300116191122, c2=0.10450791145031822, score=0.866869 -   1.4s
[CV] c1=0.12574146023171254, c2=0.04270888652356361 ..................
[CV]  c1=0.12574146023171254, c2=0.04270888652356361, score=0.670393 -   1.1s
[CV] c1=1.3588369688349708, c2=0.01663146531837323 ...................
[CV]  c1=1.3588369688349708, c2=0.01663146531837323, score=0.809955 -   1.4s
[CV] c1=0.07103097710884178, c2=0.03347608990310143 ..................
[CV]  c1=0.07103097710884178, c2=0.03347608990310143, score=0.669743 -   1.0s
[CV] c1=0.957004203307135, c2=0.014989925315925613 ...................
[CV]  c1=0.957004203307135, c2=0.014989925315925613, score=0.668725 -   1.4s
[CV] c1=0.7131630824892042, c2=0.02178938724113383 ...................
[CV]  c1=0.7131630824892042, c2=0.02178938724113383, score=0.850861 -   1.3s
[CV] c1=0.8680073828597988, c2=0.018215939910042916 ..................
[CV]  c1=0.8680073828597988, c2=0.018215939910042916, score=0.861293 -   1.3s
[CV] c1=0.33350569757449683, c2=0.03874807589636396 ..................
[CV]  c1=0.33350569757449683, c2=0.03874807589636396, score=0.815346 -   1.4s
[CV] c1=0.36239765903149956, c2=0.006811223719955329 .................
[CV]  c1=0.36239765903149956, c2=0.006811223719955329, score=0.791117 -   1.4s
[CV] c1=1.0156392999203145, c2=0.17570813996623968 ...................
[CV]  c1=1.0156392999203145, c2=0.17570813996623968, score=0.815851 -   1.2s
[CV] c1=1.5881005457949107, c2=0.03769678311079603 ...................
[CV]  c1=1.5881005457949107, c2=0.03769678311079603, score=0.596132 -   1.4s
[CV] c1=1.5037987148019318, c2=0.01608010929548141 ...................
[CV]  c1=1.5037987148019318, c2=0.01608010929548141, score=0.717376 -   1.4s
[CV] c1=0.21429295211874821, c2=0.12836345401595348 ..................
[CV]  c1=0.21429295211874821, c2=0.12836345401595348, score=0.778578 -   1.5s
[CV] c1=0.1365159431004061, c2=0.060302023653829 .....................
[CV]  c1=0.1365159431004061, c2=0.060302023653829, score=0.883221 -   1.3s
[CV] c1=0.21405427497842347, c2=0.050007584246172666 .................
[CV]  c1=0.21405427497842347, c2=0.050007584246172666, score=0.817789 -   1.4s
[CV] c1=0.34900191140810444, c2=0.005184810849234618 .................
[CV]  c1=0.34900191140810444, c2=0.005184810849234618, score=0.905427 -   1.4s
[CV] c1=0.04868982300712571, c2=0.015059161813145708 .................
[CV]  c1=0.04868982300712571, c2=0.015059161813145708, score=0.785099 -   1.5s
[CV] c1=0.3983514595845029, c2=0.09518895348936861 ...................
[CV]  c1=0.3983514595845029, c2=0.09518895348936861, score=0.882555 -   1.3s
[CV] c1=0.26320024875119874, c2=0.0006598061410221684 ................
[CV]  c1=0.26320024875119874, c2=0.0006598061410221684, score=0.728906 -   1.2s
[CV] c1=1.275923863887669, c2=0.04636721021535823 ....................
[CV]  c1=1.275923863887669, c2=0.04636721021535823, score=0.809955 -   1.3s
[CV] c1=0.15110117701724735, c2=0.13062903473598872 ..................
[CV]  c1=0.15110117701724735, c2=0.13062903473598872, score=0.873340 -   1.4s
[CV] c1=1.760120504866678, c2=0.041270778702704465 ...................
[CV]  c1=1.760120504866678, c2=0.041270778702704465, score=0.770439 -   1.3s
[CV] c1=1.5881005457949107, c2=0.03769678311079603 ...................
[CV]  c1=1.5881005457949107, c2=0.03769678311079603, score=0.527542 -   1.1s
[CV] c1=0.12025968334327074, c2=0.05935822302121351 ..................
[CV]  c1=0.12025968334327074, c2=0.05935822302121351, score=0.792756 -   1.5s
[CV] c1=0.05801120517229356, c2=0.05144282199308062 ..................
[CV]  c1=0.05801120517229356, c2=0.05144282199308062, score=0.844126 -   1.4s
[CV] c1=0.2530384892434057, c2=0.115749017911931 .....................
[CV]  c1=0.2530384892434057, c2=0.115749017911931, score=0.806269 -   1.4s
[CV] c1=1.0370840295775117, c2=0.03640501015044946 ...................
[CV]  c1=1.0370840295775117, c2=0.03640501015044946, score=0.644096 -   1.5s
[CV] c1=0.22738857555962, c2=0.06043053451746051 .....................
[CV]  c1=0.22738857555962, c2=0.06043053451746051, score=0.829842 -   1.3s
[CV] c1=0.957004203307135, c2=0.014989925315925613 ...................
[CV]  c1=0.957004203307135, c2=0.014989925315925613, score=0.773935 -   1.4s
[CV] c1=0.4218916393127991, c2=0.01383256196330212 ...................
[CV]  c1=0.4218916393127991, c2=0.01383256196330212, score=0.808864 -   1.5s
[CV] c1=0.8680073828597988, c2=0.018215939910042916 ..................
[CV]  c1=0.8680073828597988, c2=0.018215939910042916, score=0.665475 -   1.5s
[CV] c1=1.275923863887669, c2=0.04636721021535823 ....................
[CV]  c1=1.275923863887669, c2=0.04636721021535823, score=0.551289 -   1.4s
[CV] c1=0.21758649429523874, c2=0.0038355317069413163 ................
[CV]  c1=0.21758649429523874, c2=0.0038355317069413163, score=0.729449 -   1.1s
[CV] c1=1.760120504866678, c2=0.041270778702704465 ...................
[CV]  c1=1.760120504866678, c2=0.041270778702704465, score=0.608089 -   1.3s
[CV] c1=1.5881005457949107, c2=0.03769678311079603 ...................
[CV]  c1=1.5881005457949107, c2=0.03769678311079603, score=0.799222 -   1.4s
[CV] c1=1.5037987148019318, c2=0.01608010929548141 ...................
[CV]  c1=1.5037987148019318, c2=0.01608010929548141, score=0.551829 -   1.1s
[CV] c1=0.05801120517229356, c2=0.05144282199308062 ..................
[CV]  c1=0.05801120517229356, c2=0.05144282199308062, score=0.874875 -   1.4s
[CV] c1=0.2530384892434057, c2=0.115749017911931 .....................
[CV]  c1=0.2530384892434057, c2=0.115749017911931, score=0.664904 -   1.3s
[CV] c1=0.42511876227456274, c2=0.11004969406263246 ..................
[CV]  c1=0.42511876227456274, c2=0.11004969406263246, score=0.803488 -   1.4s
[CV] c1=0.2776621794959733, c2=0.17125922603885105 ...................
[CV]  c1=0.2776621794959733, c2=0.17125922603885105, score=0.665676 -   1.2s
[CV] c1=0.44071855738121224, c2=0.038608103331076296 .................
[CV]  c1=0.44071855738121224, c2=0.038608103331076296, score=0.791758 -   1.4s
[CV] c1=0.3922560824718844, c2=0.015659232798103103 ..................
[CV]  c1=0.3922560824718844, c2=0.015659232798103103, score=0.891815 -   1.3s
[CV] c1=0.11461775684221079, c2=0.13143297890378974 ..................
[CV]  c1=0.11461775684221079, c2=0.13143297890378974, score=0.671847 -   1.2s
[CV] c1=0.38023055386492144, c2=0.006269373242422433 .................
[CV]  c1=0.38023055386492144, c2=0.006269373242422433, score=0.707016 -   1.1s
[CV] c1=0.7385460578308364, c2=0.14134265044918196 ...................
[CV]  c1=0.7385460578308364, c2=0.14134265044918196, score=0.643516 -   1.1s
[CV] c1=0.15110117701724735, c2=0.13062903473598872 ..................
[CV]  c1=0.15110117701724735, c2=0.13062903473598872, score=0.773364 -   1.4s
[CV] c1=1.0156392999203145, c2=0.17570813996623968 ...................
[CV]  c1=1.0156392999203145, c2=0.17570813996623968, score=0.721421 -   1.3s
[CV] c1=1.5881005457949107, c2=0.03769678311079603 ...................
[CV]  c1=1.5881005457949107, c2=0.03769678311079603, score=0.544030 -   1.4s
[CV] c1=0.7682213840025478, c2=0.058786452269390714 ..................
[CV]  c1=0.7682213840025478, c2=0.058786452269390714, score=0.685415 -   1.4s
[CV] c1=0.5291735249201137, c2=0.008382010923676938 ..................
[CV]  c1=0.5291735249201137, c2=0.008382010923676938, score=0.878010 -   1.4s
[CV] c1=0.1365159431004061, c2=0.060302023653829 .....................
[CV]  c1=0.1365159431004061, c2=0.060302023653829, score=0.662455 -   1.1s
[CV] c1=1.0370840295775117, c2=0.03640501015044946 ...................
[CV]  c1=1.0370840295775117, c2=0.03640501015044946, score=0.773935 -   1.3s
[CV] c1=0.36227824705563044, c2=0.0032423470957740133 ................
[CV]  c1=0.36227824705563044, c2=0.0032423470957740133, score=0.829651 -   1.4s
[CV] c1=0.6003947384452487, c2=0.036281011637110824 ..................
[CV]  c1=0.6003947384452487, c2=0.036281011637110824, score=0.791359 -   1.3s
[CV] c1=0.854921662489187, c2=0.05730591228665777 ....................
[CV]  c1=0.854921662489187, c2=0.05730591228665777, score=0.665475 -   1.4s
[CV] c1=0.10654213564034694, c2=0.0162036096905019 ...................
[CV]  c1=0.10654213564034694, c2=0.0162036096905019, score=0.833283 -   1.4s
[CV] c1=0.5369864870335218, c2=0.1816111284669473 ....................
[CV]  c1=0.5369864870335218, c2=0.1816111284669473, score=0.853726 -   1.3s
[CV] c1=0.36239765903149956, c2=0.006811223719955329 .................
[CV]  c1=0.36239765903149956, c2=0.006811223719955329, score=0.780722 -   1.4s
[CV] c1=0.03645159469570202, c2=0.10081233927624596 ..................
[CV]  c1=0.03645159469570202, c2=0.10081233927624596, score=0.844126 -   1.4s
[CV] c1=0.026124881439858985, c2=0.014313649255369001 ................
[CV]  c1=0.026124881439858985, c2=0.014313649255369001, score=0.787542 -   1.4s
[CV] c1=0.786388867605131, c2=0.006563547393048118 ...................
[CV]  c1=0.786388867605131, c2=0.006563547393048118, score=0.795265 -   1.3s
[CV] c1=0.20583300116191122, c2=0.10450791145031822 ..................
[CV]  c1=0.20583300116191122, c2=0.10450791145031822, score=0.785824 -   1.4s
[CV] c1=0.12574146023171254, c2=0.04270888652356361 ..................
[CV]  c1=0.12574146023171254, c2=0.04270888652356361, score=0.814302 -   1.4s
[CV] c1=0.0432893721470305, c2=0.0012411055951942634 .................
[CV]  c1=0.0432893721470305, c2=0.0012411055951942634, score=0.891095 -   1.4s
[CV] c1=0.14333860806828874, c2=0.028036945142018366 .................
[CV]  c1=0.14333860806828874, c2=0.028036945142018366, score=0.674182 -   1.1s
[CV] c1=0.7947984656520249, c2=0.06253490988695445 ...................
[CV]  c1=0.7947984656520249, c2=0.06253490988695445, score=0.630604 -   1.4s
[CV] c1=0.3983514595845029, c2=0.09518895348936861 ...................
[CV]  c1=0.3983514595845029, c2=0.09518895348936861, score=0.738312 -   1.3s
[CV] c1=0.26320024875119874, c2=0.0006598061410221684 ................
[CV]  c1=0.26320024875119874, c2=0.0006598061410221684, score=0.809106 -   1.3s
[CV] c1=0.15878588375081998, c2=0.06263450918293277 ..................
[CV]  c1=0.15878588375081998, c2=0.06263450918293277, score=0.790098 -   1.4s
[CV] c1=0.7829298988691145, c2=0.03184078374591121 ...................
[CV]  c1=0.7829298988691145, c2=0.03184078374591121, score=0.661065 -   1.1s
[CV] c1=0.5097145093387841, c2=0.04540275195117466 ...................
[CV]  c1=0.5097145093387841, c2=0.04540275195117466, score=0.808524 -   1.3s
[CV] c1=0.02760809092832949, c2=0.03433953633725689 ..................
[CV]  c1=0.02760809092832949, c2=0.03433953633725689, score=0.855449 -   1.4s
[CV] c1=0.7566491018858174, c2=0.09339442136749426 ...................
[CV]  c1=0.7566491018858174, c2=0.09339442136749426, score=0.850861 -   1.4s
[CV] c1=0.5291735249201137, c2=0.008382010923676938 ..................
[CV]  c1=0.5291735249201137, c2=0.008382010923676938, score=0.693209 -   1.1s
[CV] c1=0.14031383612794537, c2=0.045126989450395574 .................
[CV]  c1=0.14031383612794537, c2=0.045126989450395574, score=0.854407 -   1.6s
[CV] c1=0.4038096909866398, c2=0.03934935023972845 ...................
[CV]  c1=0.4038096909866398, c2=0.03934935023972845, score=0.761015 -   1.4s
[CV] c1=0.34900191140810444, c2=0.005184810849234618 .................
[CV]  c1=0.34900191140810444, c2=0.005184810849234618, score=0.832083 -   1.3s
[CV] c1=0.04868982300712571, c2=0.015059161813145708 .................
[CV]  c1=0.04868982300712571, c2=0.015059161813145708, score=0.822558 -   1.4s
[CV] c1=0.3343977422248091, c2=0.10575518734626099 ...................
[CV]  c1=0.3343977422248091, c2=0.10575518734626099, score=0.880421 -   1.4s
[CV] c1=0.21926470689044822, c2=0.029178280032840506 .................
[CV]  c1=0.21926470689044822, c2=0.029178280032840506, score=0.801465 -   1.4s
[CV] c1=1.275923863887669, c2=0.04636721021535823 ....................
[CV]  c1=1.275923863887669, c2=0.04636721021535823, score=0.759497 -   1.3s
[CV] c1=0.15110117701724735, c2=0.13062903473598872 ..................
[CV]  c1=0.15110117701724735, c2=0.13062903473598872, score=0.831593 -   1.3s
[CV] c1=0.544331463550695, c2=0.003124847489675923 ...................
[CV]  c1=0.544331463550695, c2=0.003124847489675923, score=0.789104 -   1.4s
[CV] c1=1.4651607146625962, c2=0.0369344865210285 ....................
[CV]  c1=1.4651607146625962, c2=0.0369344865210285, score=0.719433 -   1.3s
[CV] c1=0.240567873177692, c2=0.02896295310785781 ....................
[CV]  c1=0.240567873177692, c2=0.02896295310785781, score=0.811645 -   1.4s
[CV] c1=0.8113119512524607, c2=0.022361877406705567 ..................
[CV]  c1=0.8113119512524607, c2=0.022361877406705567, score=0.850861 -   1.3s
[CV] c1=0.42511876227456274, c2=0.11004969406263246 ..................
[CV]  c1=0.42511876227456274, c2=0.11004969406263246, score=0.663784 -   1.1s
[CV] c1=0.39468776064858857, c2=0.015489938315122732 .................
[CV]  c1=0.39468776064858857, c2=0.015489938315122732, score=0.808864 -   1.3s
[CV] c1=0.14333860806828874, c2=0.028036945142018366 .................
[CV]  c1=0.14333860806828874, c2=0.028036945142018366, score=0.883660 -   1.3s
[CV] c1=0.33740732910379234, c2=0.04504898473495429 ..................
[CV]  c1=0.33740732910379234, c2=0.04504898473495429, score=0.664245 -   1.1s
[CV] c1=0.3343977422248091, c2=0.10575518734626099 ...................
[CV]  c1=0.3343977422248091, c2=0.10575518734626099, score=0.806156 -   1.3s
[CV] c1=0.21926470689044822, c2=0.029178280032840506 .................
[CV]  c1=0.21926470689044822, c2=0.029178280032840506, score=0.808864 -   1.4s
[CV] c1=0.15878588375081998, c2=0.06263450918293277 ..................
[CV]  c1=0.15878588375081998, c2=0.06263450918293277, score=0.842813 -   1.3s
[CV] c1=0.21758649429523874, c2=0.0038355317069413163 ................
[CV]  c1=0.21758649429523874, c2=0.0038355317069413163, score=0.832275 -   1.3s
[CV] c1=0.5097145093387841, c2=0.04540275195117466 ...................
[CV]  c1=0.5097145093387841, c2=0.04540275195117466, score=0.875549 -   1.3s
[CV] c1=0.02760809092832949, c2=0.03433953633725689 ..................
[CV]  c1=0.02760809092832949, c2=0.03433953633725689, score=0.827589 -   1.4s
[CV] c1=0.7682213840025478, c2=0.058786452269390714 ..................
[CV]  c1=0.7682213840025478, c2=0.058786452269390714, score=0.788241 -   1.3s
[CV] c1=0.7150480749426072, c2=0.008155512876444834 ..................
[CV]  c1=0.7150480749426072, c2=0.008155512876444834, score=0.753995 -   1.4s
[CV] c1=0.1365159431004061, c2=0.060302023653829 .....................
[CV]  c1=0.1365159431004061, c2=0.060302023653829, score=0.854407 -   1.3s
[CV] c1=0.4038096909866398, c2=0.03934935023972845 ...................
[CV]  c1=0.4038096909866398, c2=0.03934935023972845, score=0.815311 -   1.3s
[CV] c1=0.34900191140810444, c2=0.005184810849234618 .................
[CV]  c1=0.34900191140810444, c2=0.005184810849234618, score=0.830283 -   1.4s
[CV] c1=0.7947984656520249, c2=0.06253490988695445 ...................
[CV]  c1=0.7947984656520249, c2=0.06253490988695445, score=0.858504 -   1.4s
[CV] c1=0.3343977422248091, c2=0.10575518734626099 ...................
[CV]  c1=0.3343977422248091, c2=0.10575518734626099, score=0.665199 -   1.1s
[CV] c1=0.8680073828597988, c2=0.018215939910042916 ..................
[CV]  c1=0.8680073828597988, c2=0.018215939910042916, score=0.671890 -   1.4s
[CV] c1=0.5369864870335218, c2=0.1816111284669473 ....................
[CV]  c1=0.5369864870335218, c2=0.1816111284669473, score=0.774598 -   1.4s
[CV] c1=0.15110117701724735, c2=0.13062903473598872 ..................
[CV]  c1=0.15110117701724735, c2=0.13062903473598872, score=0.768205 -   1.4s
[CV] c1=0.5096329012332254, c2=0.029267105300454017 ..................
[CV]  c1=0.5096329012332254, c2=0.029267105300454017, score=0.742963 -   1.4s
[CV] c1=1.4651607146625962, c2=0.0369344865210285 ....................
[CV]  c1=1.4651607146625962, c2=0.0369344865210285, score=0.539180 -   1.4s
[CV] c1=1.2571725092463724, c2=0.015033463073876924 ..................
[CV]  c1=1.2571725092463724, c2=0.015033463073876924, score=0.597605 -   1.0s
[CV] c1=0.6884774901537701, c2=0.07015302307211556 ...................
[CV]  c1=0.6884774901537701, c2=0.07015302307211556, score=0.844432 -   1.3s
[CV] c1=0.32717999022475214, c2=0.10688582537518981 ..................
[CV]  c1=0.32717999022475214, c2=0.10688582537518981, score=0.664245 -   1.1s
[CV] c1=1.3588369688349708, c2=0.01663146531837323 ...................
[CV]  c1=1.3588369688349708, c2=0.01663146531837323, score=0.547624 -   1.5s
[CV] c1=0.4525666390333342, c2=0.03702980621784213 ...................
[CV]  c1=0.4525666390333342, c2=0.03702980621784213, score=0.803488 -   1.4s
[CV] c1=0.33740732910379234, c2=0.04504898473495429 ..................
[CV]  c1=0.33740732910379234, c2=0.04504898473495429, score=0.830357 -   1.2s
[CV] c1=0.033341837942467784, c2=0.05832417737387531 .................
[CV]  c1=0.033341837942467784, c2=0.05832417737387531, score=0.681632 -   1.2s
[CV] c1=0.26320024875119874, c2=0.0006598061410221684 ................
[CV]  c1=0.26320024875119874, c2=0.0006598061410221684, score=0.905427 -   1.4s
[CV] c1=0.15878588375081998, c2=0.06263450918293277 ..................
[CV]  c1=0.15878588375081998, c2=0.06263450918293277, score=0.799138 -   1.4s
[CV] c1=0.21758649429523874, c2=0.0038355317069413163 ................
[CV]  c1=0.21758649429523874, c2=0.0038355317069413163, score=0.806420 -   1.3s
[CV] c1=1.0156392999203145, c2=0.17570813996623968 ...................
[CV]  c1=1.0156392999203145, c2=0.17570813996623968, score=0.580601 -   1.3s
[CV] c1=0.02760809092832949, c2=0.03433953633725689 ..................
[CV]  c1=0.02760809092832949, c2=0.03433953633725689, score=0.870329 -   1.4s
[CV] c1=0.7682213840025478, c2=0.058786452269390714 ..................
[CV]  c1=0.7682213840025478, c2=0.058786452269390714, score=0.643516 -   1.2s
[CV] c1=0.21429295211874821, c2=0.12836345401595348 ..................
[CV]  c1=0.21429295211874821, c2=0.12836345401595348, score=0.865289 -   1.3s
[CV] c1=0.14031383612794537, c2=0.045126989450395574 .................
[CV]  c1=0.14031383612794537, c2=0.045126989450395574, score=0.879635 -   1.4s
[CV] c1=1.0370840295775117, c2=0.03640501015044946 ...................
[CV]  c1=1.0370840295775117, c2=0.03640501015044946, score=0.633121 -   1.1s
[CV] c1=0.2776621794959733, c2=0.17125922603885105 ...................
[CV]  c1=0.2776621794959733, c2=0.17125922603885105, score=0.859395 -   1.4s
[CV] c1=0.946173824732658, c2=0.005192139826148712 ...................
[CV]  c1=0.946173824732658, c2=0.005192139826148712, score=0.653390 -   1.1s
[CV] c1=1.1732634254565057, c2=0.02345934585239625 ...................
[CV]  c1=1.1732634254565057, c2=0.02345934585239625, score=0.603557 -   0.9s
[CV] c1=0.3343977422248091, c2=0.10575518734626099 ...................
[CV]  c1=0.3343977422248091, c2=0.10575518734626099, score=0.819201 -   1.3s
[CV] c1=0.21926470689044822, c2=0.029178280032840506 .................
[CV]  c1=0.21926470689044822, c2=0.029178280032840506, score=0.841270 -   1.3s
[CV] c1=1.275923863887669, c2=0.04636721021535823 ....................
[CV]  c1=1.275923863887669, c2=0.04636721021535823, score=0.631080 -   1.4s
[CV] c1=0.21758649429523874, c2=0.0038355317069413163 ................
[CV]  c1=0.21758649429523874, c2=0.0038355317069413163, score=0.900539 -   1.3s
[CV] c1=0.544331463550695, c2=0.003124847489675923 ...................
[CV]  c1=0.544331463550695, c2=0.003124847489675923, score=0.876178 -   1.3s
[CV] c1=0.07441656717644117, c2=0.05125178477695386 ..................
[CV]  c1=0.07441656717644117, c2=0.05125178477695386, score=0.869653 -   1.4s
[CV] c1=0.786388867605131, c2=0.006563547393048118 ...................
[CV]  c1=0.786388867605131, c2=0.006563547393048118, score=0.684776 -   1.4s
[CV] c1=0.6884774901537701, c2=0.07015302307211556 ...................
[CV]  c1=0.6884774901537701, c2=0.07015302307211556, score=0.643151 -   1.1s
[CV] c1=0.9439956754151393, c2=0.012090309580867358 ..................
[CV]  c1=0.9439956754151393, c2=0.012090309580867358, score=0.589918 -   1.4s
[CV] c1=0.39468776064858857, c2=0.015489938315122732 .................
[CV]  c1=0.39468776064858857, c2=0.015489938315122732, score=0.891815 -   1.3s
[CV] c1=0.4525666390333342, c2=0.03702980621784213 ...................
[CV]  c1=0.4525666390333342, c2=0.03702980621784213, score=0.891356 -   1.4s
[CV] c1=0.039555262747434046, c2=0.04972593596576458 .................
[CV]  c1=0.039555262747434046, c2=0.04972593596576458, score=0.829207 -   1.4s
[CV] c1=0.033341837942467784, c2=0.05832417737387531 .................
[CV]  c1=0.033341837942467784, c2=0.05832417737387531, score=0.875671 -   1.3s
[CV] c1=0.025200108656593286, c2=0.04068235689097386 .................
[CV]  c1=0.025200108656593286, c2=0.04068235689097386, score=0.677449 -   1.1s
[CV] c1=0.15878588375081998, c2=0.06263450918293277 ..................
[CV]  c1=0.15878588375081998, c2=0.06263450918293277, score=0.882690 -   1.4s
[CV] c1=0.21758649429523874, c2=0.0038355317069413163 ................
[CV]  c1=0.21758649429523874, c2=0.0038355317069413163, score=0.809659 -   1.4s
[CV] c1=0.5096329012332254, c2=0.029267105300454017 ..................
[CV]  c1=0.5096329012332254, c2=0.029267105300454017, score=0.811828 -   1.3s
[CV] c1=1.4651607146625962, c2=0.0369344865210285 ....................
[CV]  c1=1.4651607146625962, c2=0.0369344865210285, score=0.600741 -   1.4s
[CV] c1=0.240567873177692, c2=0.02896295310785781 ....................
[CV]  c1=0.240567873177692, c2=0.02896295310785781, score=0.842813 -   1.4s
[CV] c1=0.6884774901537701, c2=0.07015302307211556 ...................
[CV]  c1=0.6884774901537701, c2=0.07015302307211556, score=0.699869 -   1.3s
[CV] c1=0.32717999022475214, c2=0.10688582537518981 ..................
[CV]  c1=0.32717999022475214, c2=0.10688582537518981, score=0.812300 -   1.4s
[CV] c1=0.0432893721470305, c2=0.0012411055951942634 .................
[CV]  c1=0.0432893721470305, c2=0.0012411055951942634, score=0.808864 -   1.4s
[CV] c1=0.44071855738121224, c2=0.038608103331076296 .................
[CV]  c1=0.44071855738121224, c2=0.038608103331076296, score=0.887716 -   1.3s
[CV] c1=1.1732634254565057, c2=0.02345934585239625 ...................
[CV]  c1=1.1732634254565057, c2=0.02345934585239625, score=0.816441 -   1.4s
[CV] c1=0.10090087212580112, c2=0.008263635876586876 .................
[CV]  c1=0.10090087212580112, c2=0.008263635876586876, score=0.673494 -   1.1s
[CV] c1=0.025200108656593286, c2=0.04068235689097386 .................
[CV]  c1=0.025200108656593286, c2=0.04068235689097386, score=0.876758 -   1.3s
[CV] c1=0.7385460578308364, c2=0.14134265044918196 ...................
[CV]  c1=0.7385460578308364, c2=0.14134265044918196, score=0.858504 -   1.4s
[CV] c1=0.7829298988691145, c2=0.03184078374591121 ...................
[CV]  c1=0.7829298988691145, c2=0.03184078374591121, score=0.788241 -   1.2s
[CV] c1=0.5097145093387841, c2=0.04540275195117466 ...................
[CV]  c1=0.5097145093387841, c2=0.04540275195117466, score=0.664944 -   0.8s
[CV] c1=1.0111465194908393, c2=0.07151845649134363 ...................
[CV]  c1=1.0111465194908393, c2=0.07151845649134363, score=0.766790 -   1.3s
[CV] c1=0.12025968334327074, c2=0.05935822302121351 ..................
[CV]  c1=0.12025968334327074, c2=0.05935822302121351, score=0.844126 -   1.4s
[CV] c1=1.2571725092463724, c2=0.015033463073876924 ..................
[CV]  c1=1.2571725092463724, c2=0.015033463073876924, score=0.726726 -   1.2s
[CV] c1=0.8113119512524607, c2=0.022361877406705567 ..................
[CV]  c1=0.8113119512524607, c2=0.022361877406705567, score=0.692370 -   1.4s
[CV] c1=0.42511876227456274, c2=0.11004969406263246 ..................
[CV]  c1=0.42511876227456274, c2=0.11004969406263246, score=0.741322 -   1.3s
[CV] c1=0.3112416807794335, c2=0.01925083415979573 ...................
[CV]  c1=0.3112416807794335, c2=0.01925083415979573, score=0.663591 -   1.0s
[CV] c1=0.4525666390333342, c2=0.03702980621784213 ...................
[CV]  c1=0.4525666390333342, c2=0.03702980621784213, score=0.811828 -   1.3s
[CV] c1=0.039555262747434046, c2=0.04972593596576458 .................
[CV]  c1=0.039555262747434046, c2=0.04972593596576458, score=0.855449 -   1.3s
[CV] c1=0.3983514595845029, c2=0.09518895348936861 ...................
[CV]  c1=0.3983514595845029, c2=0.09518895348936861, score=0.812300 -   1.4s
[CV] c1=0.025200108656593286, c2=0.04068235689097386 .................
[CV]  c1=0.025200108656593286, c2=0.04068235689097386, score=0.829207 -   1.3s
[CV] c1=0.7385460578308364, c2=0.14134265044918196 ...................
[CV]  c1=0.7385460578308364, c2=0.14134265044918196, score=0.687765 -   1.4s
[CV] c1=0.3353430141364603, c2=0.01891179173100898 ...................
[CV]  c1=0.3353430141364603, c2=0.01891179173100898, score=0.895634 -   1.2s
[CV] c1=1.2348849736842997, c2=0.016613016197119107 ..................
[CV]  c1=1.2348849736842997, c2=0.016613016197119107, score=0.726726 -   1.3s
[CV] c1=0.36281472306025975, c2=0.024631215202557965 .................
[CV]  c1=0.36281472306025975, c2=0.024631215202557965, score=0.802720 -   1.4s
[CV] c1=0.36128791957558143, c2=0.04927886222934455 ..................
[CV]  c1=0.36128791957558143, c2=0.04927886222934455, score=0.806269 -   1.4s
[CV] c1=0.20583300116191122, c2=0.10450791145031822 ..................
[CV]  c1=0.20583300116191122, c2=0.10450791145031822, score=0.806269 -   1.5s
[CV] c1=0.42511876227456274, c2=0.11004969406263246 ..................
[CV]  c1=0.42511876227456274, c2=0.11004969406263246, score=0.877637 -   1.5s
[CV] c1=0.3112416807794335, c2=0.01925083415979573 ...................
[CV]  c1=0.3112416807794335, c2=0.01925083415979573, score=0.829842 -   1.4s
[CV] c1=0.44071855738121224, c2=0.038608103331076296 .................
[CV]  c1=0.44071855738121224, c2=0.038608103331076296, score=0.685769 -   1.1s
[CV] c1=0.33740732910379234, c2=0.04504898473495429 ..................
[CV]  c1=0.33740732910379234, c2=0.04504898473495429, score=0.895788 -   1.4s
[CV] c1=0.033341837942467784, c2=0.05832417737387531 .................
[CV]  c1=0.033341837942467784, c2=0.05832417737387531, score=0.846348 -   1.3s
[CV] c1=0.025200108656593286, c2=0.04068235689097386 .................
[CV]  c1=0.025200108656593286, c2=0.04068235689097386, score=0.855449 -   1.3s
[CV] c1=0.7385460578308364, c2=0.14134265044918196 ...................
[CV]  c1=0.7385460578308364, c2=0.14134265044918196, score=0.794715 -   1.3s
[CV] c1=0.7829298988691145, c2=0.03184078374591121 ...................
[CV]  c1=0.7829298988691145, c2=0.03184078374591121, score=0.681193 -   1.3s
[CV] c1=1.0156392999203145, c2=0.17570813996623968 ...................
[CV]  c1=1.0156392999203145, c2=0.17570813996623968, score=0.550433 -   1.0s
[CV] c1=0.22714902716636468, c2=0.07182948376816355 ..................
[CV]  c1=0.22714902716636468, c2=0.07182948376816355, score=0.665676 -   1.1s
[CV] c1=0.12025968334327074, c2=0.05935822302121351 ..................
[CV]  c1=0.12025968334327074, c2=0.05935822302121351, score=0.667897 -   1.2s
[CV] c1=0.240567873177692, c2=0.02896295310785781 ....................
[CV]  c1=0.240567873177692, c2=0.02896295310785781, score=0.806990 -   1.3s
[CV] c1=0.6884774901537701, c2=0.07015302307211556 ...................
[CV]  c1=0.6884774901537701, c2=0.07015302307211556, score=0.797475 -   1.3s
[CV] c1=0.32717999022475214, c2=0.10688582537518981 ..................
[CV]  c1=0.32717999022475214, c2=0.10688582537518981, score=0.815798 -   1.4s
[CV] c1=0.0432893721470305, c2=0.0012411055951942634 .................
[CV]  c1=0.0432893721470305, c2=0.0012411055951942634, score=0.820113 -   1.3s
[CV] c1=0.14333860806828874, c2=0.028036945142018366 .................
[CV]  c1=0.14333860806828874, c2=0.028036945142018366, score=0.815229 -   1.4s
[CV] c1=1.1732634254565057, c2=0.02345934585239625 ...................
[CV]  c1=1.1732634254565057, c2=0.02345934585239625, score=0.644096 -   1.4s
[CV] c1=0.10090087212580112, c2=0.008263635876586876 .................
[CV]  c1=0.10090087212580112, c2=0.008263635876586876, score=0.847968 -   1.4s
[CV] c1=0.38023055386492144, c2=0.006269373242422433 .................
[CV]  c1=0.38023055386492144, c2=0.006269373242422433, score=0.802720 -   1.4s
[CV] c1=0.4934702529548433, c2=0.024955808495108603 ..................
[CV]  c1=0.4934702529548433, c2=0.024955808495108603, score=0.880957 -   1.4s
[CV] c1=0.1273208105111454, c2=0.12653084034472514 ...................
[CV]  c1=0.1273208105111454, c2=0.12653084034472514, score=0.669802 -   1.0s
[CV] c1=0.5096329012332254, c2=0.029267105300454017 ..................
[CV]  c1=0.5096329012332254, c2=0.029267105300454017, score=0.782960 -   1.4s
[CV] c1=0.12025968334327074, c2=0.05935822302121351 ..................
[CV]  c1=0.12025968334327074, c2=0.05935822302121351, score=0.880872 -   1.4s
[CV] c1=1.2571725092463724, c2=0.015033463073876924 ..................
[CV]  c1=1.2571725092463724, c2=0.015033463073876924, score=0.815602 -   1.3s
[CV] c1=0.8113119512524607, c2=0.022361877406705567 ..................
[CV]  c1=0.8113119512524607, c2=0.022361877406705567, score=0.639235 -   1.1s
[CV] c1=0.12574146023171254, c2=0.04270888652356361 ..................
[CV]  c1=0.12574146023171254, c2=0.04270888652356361, score=0.821347 -   1.4s
[CV] c1=0.39468776064858857, c2=0.015489938315122732 .................
[CV]  c1=0.39468776064858857, c2=0.015489938315122732, score=0.829651 -   1.3s
[CV] c1=0.4525666390333342, c2=0.03702980621784213 ...................
[CV]  c1=0.4525666390333342, c2=0.03702980621784213, score=0.756360 -   1.4s
[CV] c1=0.039555262747434046, c2=0.04972593596576458 .................
[CV]  c1=0.039555262747434046, c2=0.04972593596576458, score=0.787542 -   1.4s
[CV] c1=0.033341837942467784, c2=0.05832417737387531 .................
[CV]  c1=0.033341837942467784, c2=0.05832417737387531, score=0.829207 -   1.4s
[CV] c1=0.025200108656593286, c2=0.04068235689097386 .................
[CV]  c1=0.025200108656593286, c2=0.04068235689097386, score=0.775637 -   1.5s
[CV] c1=0.6297423661883802, c2=0.11218733043913694 ...................
[CV]  c1=0.6297423661883802, c2=0.11218733043913694, score=0.643151 -   1.1s
[CV] c1=0.7829298988691145, c2=0.03184078374591121 ...................
[CV]  c1=0.7829298988691145, c2=0.03184078374591121, score=0.858504 -   1.3s
[CV] c1=0.03645159469570202, c2=0.10081233927624596 ..................
[CV]  c1=0.03645159469570202, c2=0.10081233927624596, score=0.682313 -   1.2s
[CV] c1=0.02760809092832949, c2=0.03433953633725689 ..................
[CV]  c1=0.02760809092832949, c2=0.03433953633725689, score=0.787542 -   1.4s
[CV] c1=0.7566491018858174, c2=0.09339442136749426 ...................
[CV]  c1=0.7566491018858174, c2=0.09339442136749426, score=0.681897 -   1.4s
[CV] c1=0.8092634127962941, c2=0.007003984144864157 ..................
[CV]  c1=0.8092634127962941, c2=0.007003984144864157, score=0.653390 -   1.1s
[CV] c1=0.1971520804010086, c2=0.04346819694505129 ...................
[CV]  c1=0.1971520804010086, c2=0.04346819694505129, score=0.842813 -   1.3s
[CV] c1=0.21405427497842347, c2=0.050007584246172666 .................
[CV]  c1=0.21405427497842347, c2=0.050007584246172666, score=0.668577 -   1.1s
[CV] c1=0.36227824705563044, c2=0.0032423470957740133 ................
[CV]  c1=0.36227824705563044, c2=0.0032423470957740133, score=0.903315 -   1.4s
[CV] c1=0.6003947384452487, c2=0.036281011637110824 ..................
[CV]  c1=0.6003947384452487, c2=0.036281011637110824, score=0.659964 -   1.2s
[CV] c1=0.3922560824718844, c2=0.015659232798103103 ..................
[CV]  c1=0.3922560824718844, c2=0.015659232798103103, score=0.713131 -   1.2s
[CV] c1=0.10090087212580112, c2=0.008263635876586876 .................
[CV]  c1=0.10090087212580112, c2=0.008263635876586876, score=0.833227 -   1.3s
[CV] c1=0.38023055386492144, c2=0.006269373242422433 .................
[CV]  c1=0.38023055386492144, c2=0.006269373242422433, score=0.832760 -   1.3s
[CV] c1=0.6297423661883802, c2=0.11218733043913694 ...................
[CV]  c1=0.6297423661883802, c2=0.11218733043913694, score=0.801318 -   1.3s
[CV] c1=0.3353430141364603, c2=0.01891179173100898 ...................
[CV]  c1=0.3353430141364603, c2=0.01891179173100898, score=0.830138 -   1.2s
[CV] c1=0.09483817000002204, c2=0.03914228595830399 ..................
[CV]  c1=0.09483817000002204, c2=0.03914228595830399, score=0.781398 -   1.2s
[CV] c1=0.22714902716636468, c2=0.07182948376816355 ..................
[CV]  c1=0.22714902716636468, c2=0.07182948376816355, score=0.829842 -   1.3s
[CV] c1=0.35908775212908967, c2=0.08959621230030236 ..................
[CV]  c1=0.35908775212908967, c2=0.08959621230030236, score=0.806156 -   1.5s
[CV] c1=0.7150480749426072, c2=0.008155512876444834 ..................
[CV]  c1=0.7150480749426072, c2=0.008155512876444834, score=0.847221 -   1.4s
[CV] c1=0.1971520804010086, c2=0.04346819694505129 ...................
[CV]  c1=0.1971520804010086, c2=0.04346819694505129, score=0.801465 -   1.4s
[CV] c1=0.4038096909866398, c2=0.03934935023972845 ...................
[CV]  c1=0.4038096909866398, c2=0.03934935023972845, score=0.887716 -   1.4s
[CV] c1=0.34900191140810444, c2=0.005184810849234618 .................
[CV]  c1=0.34900191140810444, c2=0.005184810849234618, score=0.808864 -   1.5s
[CV] c1=0.7947984656520249, c2=0.06253490988695445 ...................
[CV]  c1=0.7947984656520249, c2=0.06253490988695445, score=0.788241 -   1.3s
[CV] c1=0.3343977422248091, c2=0.10575518734626099 ...................
[CV]  c1=0.3343977422248091, c2=0.10575518734626099, score=0.762680 -   1.5s
[CV] c1=0.26320024875119874, c2=0.0006598061410221684 ................
[CV]  c1=0.26320024875119874, c2=0.0006598061410221684, score=0.794818 -   1.5s
[CV] c1=0.7385460578308364, c2=0.14134265044918196 ...................
[CV]  c1=0.7385460578308364, c2=0.14134265044918196, score=0.679094 -   1.5s
[CV] c1=0.3353430141364603, c2=0.01891179173100898 ...................
[CV]  c1=0.3353430141364603, c2=0.01891179173100898, score=0.795572 -   1.2s
[CV] c1=1.2348849736842997, c2=0.016613016197119107 ..................
[CV]  c1=1.2348849736842997, c2=0.016613016197119107, score=0.599525 -   0.9s
[CV] c1=0.22714902716636468, c2=0.07182948376816355 ..................
[CV]  c1=0.22714902716636468, c2=0.07182948376816355, score=0.788088 -   1.4s
[CV] c1=1.5037987148019318, c2=0.01608010929548141 ...................
[CV]  c1=1.5037987148019318, c2=0.01608010929548141, score=0.804505 -   1.4s
[CV] c1=0.21429295211874821, c2=0.12836345401595348 ..................
[CV]  c1=0.21429295211874821, c2=0.12836345401595348, score=0.762680 -   1.3s
[CV] c1=0.14031383612794537, c2=0.045126989450395574 .................
[CV]  c1=0.14031383612794537, c2=0.045126989450395574, score=0.819299 -   1.4s
[CV] c1=1.0370840295775117, c2=0.03640501015044946 ...................
[CV]  c1=1.0370840295775117, c2=0.03640501015044946, score=0.581748 -   1.4s
[CV] c1=0.22738857555962, c2=0.06043053451746051 .....................
[CV]  c1=0.22738857555962, c2=0.06043053451746051, score=0.899324 -   1.3s
[CV] c1=0.6003947384452487, c2=0.036281011637110824 ..................
[CV]  c1=0.6003947384452487, c2=0.036281011637110824, score=0.763777 -   1.3s
[CV] c1=0.4218916393127991, c2=0.01383256196330212 ...................
[CV]  c1=0.4218916393127991, c2=0.01383256196330212, score=0.891815 -   1.3s
[CV] c1=0.10654213564034694, c2=0.0162036096905019 ...................
[CV]  c1=0.10654213564034694, c2=0.0162036096905019, score=0.871425 -   1.3s
[CV] c1=0.33350569757449683, c2=0.03874807589636396 ..................
[CV]  c1=0.33350569757449683, c2=0.03874807589636396, score=0.664245 -   1.1s
[CV] c1=1.0316263750117962, c2=0.0826977476246933 ....................
[CV]  c1=1.0316263750117962, c2=0.0826977476246933, score=0.842525 -   1.4s
[CV] c1=1.8197881324109395, c2=0.0461695094918273 ....................
[CV]  c1=1.8197881324109395, c2=0.0461695094918273, score=0.503134 -   0.9s
[CV] c1=0.09483817000002204, c2=0.03914228595830399 ..................
[CV]  c1=0.09483817000002204, c2=0.03914228595830399, score=0.663554 -   1.1s
[CV] c1=1.0111465194908393, c2=0.07151845649134363 ...................
[CV]  c1=1.0111465194908393, c2=0.07151845649134363, score=0.644096 -   1.5s
[CV] c1=0.35908775212908967, c2=0.08959621230030236 ..................
[CV]  c1=0.35908775212908967, c2=0.08959621230030236, score=0.884927 -   1.4s
[CV] c1=0.05801120517229356, c2=0.05144282199308062 ..................
[CV]  c1=0.05801120517229356, c2=0.05144282199308062, score=0.673477 -   1.1s
[CV] c1=0.8113119512524607, c2=0.022361877406705567 ..................
[CV]  c1=0.8113119512524607, c2=0.022361877406705567, score=0.792640 -   1.4s
[CV] c1=0.42511876227456274, c2=0.11004969406263246 ..................
[CV]  c1=0.42511876227456274, c2=0.11004969406263246, score=0.809712 -   1.4s
[CV] c1=0.3112416807794335, c2=0.01925083415979573 ...................
[CV]  c1=0.3112416807794335, c2=0.01925083415979573, score=0.794818 -   1.5s
[CV] c1=0.946173824732658, c2=0.005192139826148712 ...................
[CV]  c1=0.946173824732658, c2=0.005192139826148712, score=0.668735 -   1.5s
[CV] c1=0.854921662489187, c2=0.05730591228665777 ....................
[CV]  c1=0.854921662489187, c2=0.05730591228665777, score=0.636149 -   1.1s
[CV] c1=0.11461775684221079, c2=0.13143297890378974 ..................
[CV]  c1=0.11461775684221079, c2=0.13143297890378974, score=0.872144 -   1.4s
[CV] c1=0.10464836570775639, c2=0.11800048877059358 ..................
[CV]  c1=0.10464836570775639, c2=0.11800048877059358, score=0.677244 -   1.1s
[CV] c1=0.6297423661883802, c2=0.11218733043913694 ...................
[CV]  c1=0.6297423661883802, c2=0.11218733043913694, score=0.698638 -   1.5s
[CV] c1=0.1273208105111454, c2=0.12653084034472514 ...................
[CV]  c1=0.1273208105111454, c2=0.12653084034472514, score=0.880974 -   1.1s
[CV] c1=0.5097145093387841, c2=0.04540275195117466 ...................
[CV]  c1=0.5097145093387841, c2=0.04540275195117466, score=0.797902 -   1.4s
[CV] c1=0.36281472306025975, c2=0.024631215202557965 .................
[CV]  c1=0.36281472306025975, c2=0.024631215202557965, score=0.780722 -   1.4s
[CV] c1=0.36128791957558143, c2=0.04927886222934455 ..................
[CV]  c1=0.36128791957558143, c2=0.04927886222934455, score=0.889681 -   1.4s
[CV] c1=0.8092634127962941, c2=0.007003984144864157 ..................
[CV]  c1=0.8092634127962941, c2=0.007003984144864157, score=0.701672 -   1.4s
[CV] c1=0.12574146023171254, c2=0.04270888652356361 ..................
[CV]  c1=0.12574146023171254, c2=0.04270888652356361, score=0.877817 -   1.3s
[CV] c1=0.39468776064858857, c2=0.015489938315122732 .................
[CV]  c1=0.39468776064858857, c2=0.015489938315122732, score=0.778444 -   1.5s
[CV] c1=0.14333860806828874, c2=0.028036945142018366 .................
[CV]  c1=0.14333860806828874, c2=0.028036945142018366, score=0.799324 -   1.4s
[CV] c1=0.33740732910379234, c2=0.04504898473495429 ..................
[CV]  c1=0.33740732910379234, c2=0.04504898473495429, score=0.817789 -   1.4s
[CV] c1=0.10090087212580112, c2=0.008263635876586876 .................
[CV]  c1=0.10090087212580112, c2=0.008263635876586876, score=0.870500 -   1.4s
[CV] c1=0.38023055386492144, c2=0.006269373242422433 .................
[CV]  c1=0.38023055386492144, c2=0.006269373242422433, score=0.891150 -   1.2s
[CV] c1=0.6297423661883802, c2=0.11218733043913694 ...................
[CV]  c1=0.6297423661883802, c2=0.11218733043913694, score=0.856711 -   1.3s
[CV] c1=0.7829298988691145, c2=0.03184078374591121 ...................
[CV]  c1=0.7829298988691145, c2=0.03184078374591121, score=0.741173 -   1.4s
[CV] c1=0.09483817000002204, c2=0.03914228595830399 ..................
[CV]  c1=0.09483817000002204, c2=0.03914228595830399, score=0.848620 -   1.2s
[CV] c1=1.0111465194908393, c2=0.07151845649134363 ...................
[CV]  c1=1.0111465194908393, c2=0.07151845649134363, score=0.580601 -   1.4s
[CV] c1=0.35908775212908967, c2=0.08959621230030236 ..................
[CV]  c1=0.35908775212908967, c2=0.08959621230030236, score=0.664245 -   1.2s
[CV] c1=1.2571725092463724, c2=0.015033463073876924 ..................
[CV]  c1=1.2571725092463724, c2=0.015033463073876924, score=0.631080 -   1.5s
[CV] c1=0.8113119512524607, c2=0.022361877406705567 ..................
[CV]  c1=0.8113119512524607, c2=0.022361877406705567, score=0.667602 -   1.5s
[CV] c1=0.05354562666006231, c2=0.03945949665078987 ..................
[CV]  c1=0.05354562666006231, c2=0.03945949665078987, score=0.804857 -   1.5s
[CV] c1=0.36227824705563044, c2=0.0032423470957740133 ................
[CV]  c1=0.36227824705563044, c2=0.0032423470957740133, score=0.718798 -   1.1s
[CV] c1=0.946173824732658, c2=0.005192139826148712 ...................
[CV]  c1=0.946173824732658, c2=0.005192139826148712, score=0.849798 -   1.5s
[CV] c1=0.3922560824718844, c2=0.015659232798103103 ..................
[CV]  c1=0.3922560824718844, c2=0.015659232798103103, score=0.823017 -   1.3s
[CV] c1=0.11461775684221079, c2=0.13143297890378974 ..................
[CV]  c1=0.11461775684221079, c2=0.13143297890378974, score=0.837026 -   1.4s
[CV] c1=0.10464836570775639, c2=0.11800048877059358 ..................
[CV]  c1=0.10464836570775639, c2=0.11800048877059358, score=0.781398 -   1.4s
[CV] c1=1.0316263750117962, c2=0.0826977476246933 ....................
[CV]  c1=1.0316263750117962, c2=0.0826977476246933, score=0.571706 -   1.1s
[CV] c1=0.3353430141364603, c2=0.01891179173100898 ...................
[CV]  c1=0.3353430141364603, c2=0.01891179173100898, score=0.817789 -   1.2s
[CV] c1=0.5096329012332254, c2=0.029267105300454017 ..................
[CV]  c1=0.5096329012332254, c2=0.029267105300454017, score=0.880139 -   1.4s
[CV] c1=1.4651607146625962, c2=0.0369344865210285 ....................
[CV]  c1=1.4651607146625962, c2=0.0369344865210285, score=0.792173 -   1.3s
[CV] c1=0.240567873177692, c2=0.02896295310785781 ....................
[CV]  c1=0.240567873177692, c2=0.02896295310785781, score=0.901458 -   1.4s
[CV] c1=0.6884774901537701, c2=0.07015302307211556 ...................
[CV]  c1=0.6884774901537701, c2=0.07015302307211556, score=0.698638 -   1.3s
[CV] c1=0.32717999022475214, c2=0.10688582537518981 ..................
[CV]  c1=0.32717999022475214, c2=0.10688582537518981, score=0.762680 -   1.4s
[CV] c1=0.0432893721470305, c2=0.0012411055951942634 .................
[CV]  c1=0.0432893721470305, c2=0.0012411055951942634, score=0.831860 -   1.3s
[CV] c1=0.14333860806828874, c2=0.028036945142018366 .................
[CV]  c1=0.14333860806828874, c2=0.028036945142018366, score=0.849913 -   1.3s
[CV] c1=0.33740732910379234, c2=0.04504898473495429 ..................
[CV]  c1=0.33740732910379234, c2=0.04504898473495429, score=0.772797 -   1.5s
[CV] c1=0.033341837942467784, c2=0.05832417737387531 .................
[CV]  c1=0.033341837942467784, c2=0.05832417737387531, score=0.787542 -   1.4s
[CV] c1=0.38023055386492144, c2=0.006269373242422433 .................
[CV]  c1=0.38023055386492144, c2=0.006269373242422433, score=0.771906 -   1.5s
[CV] c1=0.4934702529548433, c2=0.024955808495108603 ..................
[CV]  c1=0.4934702529548433, c2=0.024955808495108603, score=0.748571 -   1.4s
[CV] c1=1.8197881324109395, c2=0.0461695094918273 ....................
[CV]  c1=1.8197881324109395, c2=0.0461695094918273, score=0.772290 -   1.0s
[CV] c1=1.760120504866678, c2=0.041270778702704465 ...................
[CV]  c1=1.760120504866678, c2=0.041270778702704465, score=0.501289 -   0.9s
[CV] c1=1.0111465194908393, c2=0.07151845649134363 ...................
[CV]  c1=1.0111465194908393, c2=0.07151845649134363, score=0.609987 -   1.1s
[CV] c1=1.4651607146625962, c2=0.0369344865210285 ....................
[CV]  c1=1.4651607146625962, c2=0.0369344865210285, score=0.586094 -   1.1s
[CV] c1=0.36128791957558143, c2=0.04927886222934455 ..................
[CV]  c1=0.36128791957558143, c2=0.04927886222934455, score=0.825148 -   1.3s
[CV] c1=0.8092634127962941, c2=0.007003984144864157 ..................
[CV]  c1=0.8092634127962941, c2=0.007003984144864157, score=0.741173 -   1.5s
[CV] c1=0.12574146023171254, c2=0.04270888652356361 ..................
[CV]  c1=0.12574146023171254, c2=0.04270888652356361, score=0.854407 -   1.6s
[CV] c1=0.3112416807794335, c2=0.01925083415979573 ...................
[CV]  c1=0.3112416807794335, c2=0.01925083415979573, score=0.790415 -   1.4s
[CV] c1=0.44071855738121224, c2=0.038608103331076296 .................
[CV]  c1=0.44071855738121224, c2=0.038608103331076296, score=0.821118 -   1.4s
[CV] c1=1.1732634254565057, c2=0.02345934585239625 ...................
[CV]  c1=1.1732634254565057, c2=0.02345934585239625, score=0.766790 -   1.4s
[CV] c1=0.10090087212580112, c2=0.008263635876586876 .................
[CV]  c1=0.10090087212580112, c2=0.008263635876586876, score=0.811645 -   1.5s
[CV] c1=0.10464836570775639, c2=0.11800048877059358 ..................
[CV]  c1=0.10464836570775639, c2=0.11800048877059358, score=0.837876 -   1.4s
[CV] c1=0.4934702529548433, c2=0.024955808495108603 ..................
[CV]  c1=0.4934702529548433, c2=0.024955808495108603, score=0.811828 -   1.3s
[CV] c1=0.1273208105111454, c2=0.12653084034472514 ...................
[CV]  c1=0.1273208105111454, c2=0.12653084034472514, score=0.837026 -   1.1s
[CV] c1=0.09483817000002204, c2=0.03914228595830399 ..................
[CV]  c1=0.09483817000002204, c2=0.03914228595830399, score=0.876621 -   1.0s
[CV] c1=1.0111465194908393, c2=0.07151845649134363 ...................
[CV]  c1=1.0111465194908393, c2=0.07151845649134363, score=0.856227 -   1.5s
[CV] c1=0.12025968334327074, c2=0.05935822302121351 ..................
[CV]  c1=0.12025968334327074, c2=0.05935822302121351, score=0.817664 -   1.5s
[CV] c1=1.2571725092463724, c2=0.015033463073876924 ..................
[CV]  c1=1.2571725092463724, c2=0.015033463073876924, score=0.562055 -   1.4s
[CV] c1=0.2530384892434057, c2=0.115749017911931 .....................
[CV]  c1=0.2530384892434057, c2=0.115749017911931, score=0.892012 -   1.4s
[CV] c1=0.05354562666006231, c2=0.03945949665078987 ..................
[CV]  c1=0.05354562666006231, c2=0.03945949665078987, score=0.669743 -   1.1s
[CV] c1=0.3112416807794335, c2=0.01925083415979573 ...................
[CV]  c1=0.3112416807794335, c2=0.01925083415979573, score=0.905427 -   1.4s
[CV] c1=0.44071855738121224, c2=0.038608103331076296 .................
[CV]  c1=0.44071855738121224, c2=0.038608103331076296, score=0.758636 -   1.4s
[CV] c1=1.1732634254565057, c2=0.02345934585239625 ...................
[CV]  c1=1.1732634254565057, c2=0.02345934585239625, score=0.576868 -   1.4s
[CV] c1=0.11461775684221079, c2=0.13143297890378974 ..................
[CV]  c1=0.11461775684221079, c2=0.13143297890378974, score=0.779999 -   1.5s
[CV] c1=0.5414134612596626, c2=0.048832389599413634 ..................
[CV]  c1=0.5414134612596626, c2=0.048832389599413634, score=0.872141 -   1.5s
[CV] c1=0.11298706377060201, c2=0.0348598087694621 ...................
[CV]  c1=0.11298706377060201, c2=0.0348598087694621, score=0.871411 -   1.4s
[CV] c1=0.3510211268055555, c2=0.07390408059256591 ...................
[CV]  c1=0.3510211268055555, c2=0.07390408059256591, score=0.664245 -   0.8s
[CV] c1=0.5097145093387841, c2=0.04540275195117466 ...................
[CV]  c1=0.5097145093387841, c2=0.04540275195117466, score=0.730643 -   1.4s
[CV] c1=0.36281472306025975, c2=0.024631215202557965 .................
[CV]  c1=0.36281472306025975, c2=0.024631215202557965, score=0.891815 -   1.3s
[CV] c1=0.7566491018858174, c2=0.09339442136749426 ...................
[CV]  c1=0.7566491018858174, c2=0.09339442136749426, score=0.639235 -   1.1s
[CV] c1=0.21429295211874821, c2=0.12836345401595348 ..................
[CV]  c1=0.21429295211874821, c2=0.12836345401595348, score=0.666348 -   1.1s
[CV] c1=0.2530384892434057, c2=0.115749017911931 .....................
[CV]  c1=0.2530384892434057, c2=0.115749017911931, score=0.762680 -   1.4s
[CV] c1=1.0370840295775117, c2=0.03640501015044946 ...................
[CV]  c1=1.0370840295775117, c2=0.03640501015044946, score=0.841748 -   1.3s
[CV] c1=0.2776621794959733, c2=0.17125922603885105 ...................
[CV]  c1=0.2776621794959733, c2=0.17125922603885105, score=0.801155 -   1.4s
[CV] c1=0.6003947384452487, c2=0.036281011637110824 ..................
[CV]  c1=0.6003947384452487, c2=0.036281011637110824, score=0.844432 -   1.4s
[CV] c1=0.854921662489187, c2=0.05730591228665777 ....................
[CV]  c1=0.854921662489187, c2=0.05730591228665777, score=0.858504 -   1.4s
[CV] c1=0.461150098535041, c2=0.09738463194025582 ....................
[CV]  c1=0.461150098535041, c2=0.09738463194025582, score=0.817997 -   1.4s
[CV] c1=0.5414134612596626, c2=0.048832389599413634 ..................
[CV]  c1=0.5414134612596626, c2=0.048832389599413634, score=0.781722 -   1.4s
[CV] c1=0.11298706377060201, c2=0.0348598087694621 ...................
[CV]  c1=0.11298706377060201, c2=0.0348598087694621, score=0.659375 -   1.1s
[CV] c1=0.1273208105111454, c2=0.12653084034472514 ...................
[CV]  c1=0.1273208105111454, c2=0.12653084034472514, score=0.778741 -   1.1s
[CV] c1=0.544331463550695, c2=0.003124847489675923 ...................
[CV]  c1=0.544331463550695, c2=0.003124847489675923, score=0.677206 -   1.2s
[CV] c1=0.026124881439858985, c2=0.014313649255369001 ................
[CV]  c1=0.026124881439858985, c2=0.014313649255369001, score=0.866926 -   1.3s
[CV] c1=0.36128791957558143, c2=0.04927886222934455 ..................
[CV]  c1=0.36128791957558143, c2=0.04927886222934455, score=0.664245 -   1.1s
[CV] c1=0.7150480749426072, c2=0.008155512876444834 ..................
[CV]  c1=0.7150480749426072, c2=0.008155512876444834, score=0.795265 -   1.3s
[CV] c1=0.1971520804010086, c2=0.04346819694505129 ...................
[CV]  c1=0.1971520804010086, c2=0.04346819694505129, score=0.668577 -   1.0s
[CV] c1=0.05354562666006231, c2=0.03945949665078987 ..................
[CV]  c1=0.05354562666006231, c2=0.03945949665078987, score=0.853201 -   1.3s
[CV] c1=0.2776621794959733, c2=0.17125922603885105 ...................
[CV]  c1=0.2776621794959733, c2=0.17125922603885105, score=0.749362 -   1.4s
[CV] c1=0.946173824732658, c2=0.005192139826148712 ...................
[CV]  c1=0.946173824732658, c2=0.005192139826148712, score=0.589918 -   1.4s
[CV] c1=0.3922560824718844, c2=0.015659232798103103 ..................
[CV]  c1=0.3922560824718844, c2=0.015659232798103103, score=0.799915 -   1.4s
[CV] c1=0.461150098535041, c2=0.09738463194025582 ....................
[CV]  c1=0.461150098535041, c2=0.09738463194025582, score=0.877637 -   1.3s
[CV] c1=0.5414134612596626, c2=0.048832389599413634 ..................
[CV]  c1=0.5414134612596626, c2=0.048832389599413634, score=0.652423 -   1.0s
[CV] c1=0.6297423661883802, c2=0.11218733043913694 ...................
[CV]  c1=0.6297423661883802, c2=0.11218733043913694, score=0.779867 -   1.5s
[CV] c1=0.1273208105111454, c2=0.12653084034472514 ...................
[CV]  c1=0.1273208105111454, c2=0.12653084034472514, score=0.788156 -   1.2s
[CV] c1=0.03645159469570202, c2=0.10081233927624596 ..................
[CV]  c1=0.03645159469570202, c2=0.10081233927624596, score=0.874875 -   1.4s
[CV] c1=0.026124881439858985, c2=0.014313649255369001 ................
[CV]  c1=0.026124881439858985, c2=0.014313649255369001, score=0.848610 -   1.3s
[CV] c1=0.36128791957558143, c2=0.04927886222934455 ..................
[CV]  c1=0.36128791957558143, c2=0.04927886222934455, score=0.767272 -   1.5s
[CV] c1=0.20583300116191122, c2=0.10450791145031822 ..................
[CV]  c1=0.20583300116191122, c2=0.10450791145031822, score=0.666348 -   1.2s
[CV] c1=0.9439956754151393, c2=0.012090309580867358 ..................
[CV]  c1=0.9439956754151393, c2=0.012090309580867358, score=0.858504 -   1.3s
[CV] c1=1.3588369688349708, c2=0.01663146531837323 ...................
[CV]  c1=1.3588369688349708, c2=0.01663146531837323, score=0.588014 -   1.1s
[CV] c1=0.22738857555962, c2=0.06043053451746051 .....................
[CV]  c1=0.22738857555962, c2=0.06043053451746051, score=0.788088 -   1.4s
[CV] c1=0.04868982300712571, c2=0.015059161813145708 .................
[CV]  c1=0.04868982300712571, c2=0.015059161813145708, score=0.867368 -   1.3s
[CV] c1=0.7131630824892042, c2=0.02178938724113383 ...................
[CV]  c1=0.7131630824892042, c2=0.02178938724113383, score=0.679656 -   1.2s
[CV] c1=0.10654213564034694, c2=0.0162036096905019 ...................
[CV]  c1=0.10654213564034694, c2=0.0162036096905019, score=0.673494 -   1.1s
[CV] c1=0.10464836570775639, c2=0.11800048877059358 ..................
[CV]  c1=0.10464836570775639, c2=0.11800048877059358, score=0.796874 -   1.4s
[CV] c1=0.4934702529548433, c2=0.024955808495108603 ..................
[CV]  c1=0.4934702529548433, c2=0.024955808495108603, score=0.779893 -   1.4s
[CV] c1=1.8197881324109395, c2=0.0461695094918273 ....................
[CV]  c1=1.8197881324109395, c2=0.0461695094918273, score=0.608089 -   1.0s
[CV] c1=1.2348849736842997, c2=0.016613016197119107 ..................
[CV]  c1=1.2348849736842997, c2=0.016613016197119107, score=0.562055 -   1.4s
[CV] c1=0.026124881439858985, c2=0.014313649255369001 ................
[CV]  c1=0.026124881439858985, c2=0.014313649255369001, score=0.688943 -   1.1s
[CV] c1=0.7682213840025478, c2=0.058786452269390714 ..................
[CV]  c1=0.7682213840025478, c2=0.058786452269390714, score=0.772494 -   1.4s
[CV] c1=0.5291735249201137, c2=0.008382010923676938 ..................
[CV]  c1=0.5291735249201137, c2=0.008382010923676938, score=0.745311 -   1.5s
[CV] c1=0.9439956754151393, c2=0.012090309580867358 ..................
[CV]  c1=0.9439956754151393, c2=0.012090309580867358, score=0.671890 -   1.5s
[CV] c1=0.39468776064858857, c2=0.015489938315122732 .................
[CV]  c1=0.39468776064858857, c2=0.015489938315122732, score=0.699948 -   1.1s
[CV] c1=0.07103097710884178, c2=0.03347608990310143 ..................
[CV]  c1=0.07103097710884178, c2=0.03347608990310143, score=0.878398 -   1.3s
[CV] c1=0.7947984656520249, c2=0.06253490988695445 ...................
[CV]  c1=0.7947984656520249, c2=0.06253490988695445, score=0.643516 -   1.1s
[CV] c1=0.4218916393127991, c2=0.01383256196330212 ...................
[CV]  c1=0.4218916393127991, c2=0.01383256196330212, score=0.821605 -   1.2s
[CV] c1=0.10654213564034694, c2=0.0162036096905019 ...................
[CV]  c1=0.10654213564034694, c2=0.0162036096905019, score=0.817433 -   1.3s
[CV] c1=0.33350569757449683, c2=0.03874807589636396 ..................
[CV]  c1=0.33350569757449683, c2=0.03874807589636396, score=0.772797 -   1.5s
[CV] c1=0.36239765903149956, c2=0.006811223719955329 .................
[CV]  c1=0.36239765903149956, c2=0.006811223719955329, score=0.699500 -   1.1s
[CV] c1=0.3510211268055555, c2=0.07390408059256591 ...................
[CV]  c1=0.3510211268055555, c2=0.07390408059256591, score=0.885583 -   1.0s
[CV] c1=1.760120504866678, c2=0.041270778702704465 ...................
[CV]  c1=1.760120504866678, c2=0.041270778702704465, score=0.701978 -   1.2s
[CV] c1=0.22714902716636468, c2=0.07182948376816355 ..................
[CV]  c1=0.22714902716636468, c2=0.07182948376816355, score=0.814958 -   1.5s
[CV] c1=1.5037987148019318, c2=0.01608010929548141 ...................
[CV]  c1=1.5037987148019318, c2=0.01608010929548141, score=0.539180 -   1.4s
[CV] c1=0.7150480749426072, c2=0.008155512876444834 ..................
[CV]  c1=0.7150480749426072, c2=0.008155512876444834, score=0.653060 -   1.2s
[CV] c1=0.14031383612794537, c2=0.045126989450395574 .................
[CV]  c1=0.14031383612794537, c2=0.045126989450395574, score=0.662455 -   1.1s
[CV] c1=0.05354562666006231, c2=0.03945949665078987 ..................
[CV]  c1=0.05354562666006231, c2=0.03945949665078987, score=0.868446 -   1.4s
[CV] c1=0.2776621794959733, c2=0.17125922603885105 ...................
[CV]  c1=0.2776621794959733, c2=0.17125922603885105, score=0.815798 -   1.4s
[CV] c1=0.946173824732658, c2=0.005192139826148712 ...................
[CV]  c1=0.946173824732658, c2=0.005192139826148712, score=0.773935 -   1.3s
[CV] c1=0.3922560824718844, c2=0.015659232798103103 ..................
[CV]  c1=0.3922560824718844, c2=0.015659232798103103, score=0.766431 -   1.4s
[CV] c1=0.11461775684221079, c2=0.13143297890378974 ..................
[CV]  c1=0.11461775684221079, c2=0.13143297890378974, score=0.778741 -   1.5s
[CV] c1=0.5414134612596626, c2=0.048832389599413634 ..................
[CV]  c1=0.5414134612596626, c2=0.048832389599413634, score=0.817510 -   1.3s
[CV] c1=1.0316263750117962, c2=0.0826977476246933 ....................
[CV]  c1=1.0316263750117962, c2=0.0826977476246933, score=0.759497 -   1.3s
[CV] c1=1.8197881324109395, c2=0.0461695094918273 ....................
[CV]  c1=1.8197881324109395, c2=0.0461695094918273, score=0.699574 -   1.0s
[CV] c1=0.03645159469570202, c2=0.10081233927624596 ..................
[CV]  c1=0.03645159469570202, c2=0.10081233927624596, score=0.799555 -   1.4s
[CV] c1=0.07441656717644117, c2=0.05125178477695386 ..................
[CV]  c1=0.07441656717644117, c2=0.05125178477695386, score=0.667153 -   1.1s
[CV] c1=0.7566491018858174, c2=0.09339442136749426 ...................
[CV]  c1=0.7566491018858174, c2=0.09339442136749426, score=0.678884 -   1.4s
[CV] c1=0.8092634127962941, c2=0.007003984144864157 ..................
[CV]  c1=0.8092634127962941, c2=0.007003984144864157, score=0.850389 -   1.3s
[CV] c1=0.1365159431004061, c2=0.060302023653829 .....................
[CV]  c1=0.1365159431004061, c2=0.060302023653829, score=0.811645 -   1.4s
[CV] c1=1.3588369688349708, c2=0.01663146531837323 ...................
[CV]  c1=1.3588369688349708, c2=0.01663146531837323, score=0.632541 -   1.4s
[CV] c1=0.07103097710884178, c2=0.03347608990310143 ..................
[CV]  c1=0.07103097710884178, c2=0.03347608990310143, score=0.787542 -   1.4s
[CV] c1=0.039555262747434046, c2=0.04972593596576458 .................
[CV]  c1=0.039555262747434046, c2=0.04972593596576458, score=0.678004 -   1.1s
[CV] c1=0.7131630824892042, c2=0.02178938724113383 ...................
[CV]  c1=0.7131630824892042, c2=0.02178938724113383, score=0.753995 -   1.3s
[CV] c1=0.21926470689044822, c2=0.029178280032840506 .................
[CV]  c1=0.21926470689044822, c2=0.029178280032840506, score=0.905753 -   1.4s
[CV] c1=1.275923863887669, c2=0.04636721021535823 ....................
[CV]  c1=1.275923863887669, c2=0.04636721021535823, score=0.603557 -   1.1s
[CV] c1=0.11298706377060201, c2=0.0348598087694621 ...................
[CV]  c1=0.11298706377060201, c2=0.0348598087694621, score=0.854407 -   1.3s
[CV] c1=0.3510211268055555, c2=0.07390408059256591 ...................
[CV]  c1=0.3510211268055555, c2=0.07390408059256591, score=0.820875 -   0.8s
[CV] c1=0.03645159469570202, c2=0.10081233927624596 ..................
[CV]  c1=0.03645159469570202, c2=0.10081233927624596, score=0.775025 -   1.4s
[CV] c1=0.07441656717644117, c2=0.05125178477695386 ..................
[CV]  c1=0.07441656717644117, c2=0.05125178477695386, score=0.844126 -   1.3s
[CV] c1=0.786388867605131, c2=0.006563547393048118 ...................
[CV]  c1=0.786388867605131, c2=0.006563547393048118, score=0.661065 -   1.1s
[CV] c1=0.5291735249201137, c2=0.008382010923676938 ..................
[CV]  c1=0.5291735249201137, c2=0.008382010923676938, score=0.789104 -   1.4s
[CV] c1=0.9439956754151393, c2=0.012090309580867358 ..................
[CV]  c1=0.9439956754151393, c2=0.012090309580867358, score=0.653390 -   1.1s
[CV] c1=0.21405427497842347, c2=0.050007584246172666 .................
[CV]  c1=0.21405427497842347, c2=0.050007584246172666, score=0.842813 -   1.3s
[CV] c1=0.22738857555962, c2=0.06043053451746051 .....................
[CV]  c1=0.22738857555962, c2=0.06043053451746051, score=0.815346 -   1.4s
[CV] c1=0.04868982300712571, c2=0.015059161813145708 .................
[CV]  c1=0.04868982300712571, c2=0.015059161813145708, score=0.850943 -   1.3s
[CV] c1=0.7131630824892042, c2=0.02178938724113383 ...................
[CV]  c1=0.7131630824892042, c2=0.02178938724113383, score=0.795265 -   1.2s
[CV] c1=0.8680073828597988, c2=0.018215939910042916 ..................
[CV]  c1=0.8680073828597988, c2=0.018215939910042916, score=0.657914 -   1.0s
[CV] c1=0.5414134612596626, c2=0.048832389599413634 ..................
[CV]  c1=0.5414134612596626, c2=0.048832389599413634, score=0.735111 -   1.3s
[CV] c1=1.0316263750117962, c2=0.0826977476246933 ....................
[CV]  c1=1.0316263750117962, c2=0.0826977476246933, score=0.644096 -   1.4s
[CV] c1=1.8197881324109395, c2=0.0461695094918273 ....................
[CV]  c1=1.8197881324109395, c2=0.0461695094918273, score=0.539727 -   1.0s
[CV] c1=0.09483817000002204, c2=0.03914228595830399 ..................
[CV]  c1=0.09483817000002204, c2=0.03914228595830399, score=0.796997 -   1.3s
[CV] c1=0.22714902716636468, c2=0.07182948376816355 ..................
[CV]  c1=0.22714902716636468, c2=0.07182948376816355, score=0.889420 -   1.4s
[CV] c1=0.35908775212908967, c2=0.08959621230030236 ..................
[CV]  c1=0.35908775212908967, c2=0.08959621230030236, score=0.762680 -   1.5s
[CV] c1=0.05801120517229356, c2=0.05144282199308062 ..................
[CV]  c1=0.05801120517229356, c2=0.05144282199308062, score=0.781398 -   1.5s
[CV] c1=0.1971520804010086, c2=0.04346819694505129 ...................
[CV]  c1=0.1971520804010086, c2=0.04346819694505129, score=0.902698 -   1.4s
[CV] c1=0.21405427497842347, c2=0.050007584246172666 .................
[CV]  c1=0.21405427497842347, c2=0.050007584246172666, score=0.799138 -   1.5s
[CV] c1=0.34900191140810444, c2=0.005184810849234618 .................
[CV]  c1=0.34900191140810444, c2=0.005184810849234618, score=0.728968 -   1.2s
[CV] c1=0.957004203307135, c2=0.014989925315925613 ...................
[CV]  c1=0.957004203307135, c2=0.014989925315925613, score=0.858504 -   1.4s
[CV] c1=0.4218916393127991, c2=0.01383256196330212 ...................
[CV]  c1=0.4218916393127991, c2=0.01383256196330212, score=0.775303 -   1.4s
[CV] c1=0.10654213564034694, c2=0.0162036096905019 ...................
[CV]  c1=0.10654213564034694, c2=0.0162036096905019, score=0.821374 -   1.5s
[CV] c1=0.5369864870335218, c2=0.1816111284669473 ....................
[CV]  c1=0.5369864870335218, c2=0.1816111284669473, score=0.730076 -   1.4s
[CV] c1=0.15110117701724735, c2=0.13062903473598872 ..................
[CV]  c1=0.15110117701724735, c2=0.13062903473598872, score=0.670512 -   1.1s
[CV] c1=0.3510211268055555, c2=0.07390408059256591 ...................
[CV]  c1=0.3510211268055555, c2=0.07390408059256591, score=0.803437 -   0.9s
Training done in: 19.226831s
     Saving training model...
        Saving training model done in: 0.013504s
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Prediction done in: 0.030823s