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

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Run2_v12.txt 72.6 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: Run2
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: 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: 0.003703s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0      1
0        lemma      :
1       postag      :
2     -1:lemma     in
3    -1:postag     IN
4     +1:lemma     m9
5    +1:postag     NN
6       hUpper  False
7       hLower  False
8       hGreek  False
9         symb  False
10    word[:1]      :
11  postag[:1]      :
--------------------------- FeaturesTest -----------------------------
             0           1
0        lemma  delta-arca
1       postag          NN
2     -1:lemma           _
3    -1:postag          NN
4     +1:lemma           _
5    +1:postag          CD
6       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10    word[:1]           d
11    word[:2]          de
12  postag[:1]           N
13  postag[:2]          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.01266926211763664, c2=0.0229831851990538 ...................
[CV]  c1=0.01266926211763664, c2=0.0229831851990538, score=0.830102 -   1.2s
[CV] c1=0.12589388523068204, c2=0.008113716246739197 .................
[CV]  c1=0.12589388523068204, c2=0.008113716246739197, score=0.817155 -   1.2s
[CV] c1=0.15267910780370592, c2=0.030381787890255803 .................
[CV]  c1=0.15267910780370592, c2=0.030381787890255803, score=0.821649 -   1.2s
[CV] c1=0.33012012231575216, c2=0.04813933370374048 ..................
[CV]  c1=0.33012012231575216, c2=0.04813933370374048, score=0.808970 -   1.2s
[CV] c1=0.28551639104003335, c2=0.06253148763543187 ..................
[CV]  c1=0.28551639104003335, c2=0.06253148763543187, score=0.799050 -   1.3s
[CV] c1=0.7619660265528359, c2=0.0815990854627302 ....................
[CV]  c1=0.7619660265528359, c2=0.0815990854627302, score=0.679635 -   1.3s
[CV] c1=0.6827746303226107, c2=0.02023779198682862 ...................
[CV]  c1=0.6827746303226107, c2=0.02023779198682862, score=0.820108 -   1.3s
[CV] c1=0.01824921638786281, c2=0.014419365500497959 .................
[CV]  c1=0.01824921638786281, c2=0.014419365500497959, score=0.697183 -   1.0s
[CV] c1=0.15162981911612544, c2=0.12520605910502144 ..................
[CV]  c1=0.15162981911612544, c2=0.12520605910502144, score=0.795432 -   1.2s
[CV] c1=0.33280416866605217, c2=0.03840093837102723 ..................
[CV]  c1=0.33280416866605217, c2=0.03840093837102723, score=0.803390 -   1.2s
[CV] c1=1.0366970968760056, c2=0.02448076446843689 ...................
[CV]  c1=1.0366970968760056, c2=0.02448076446843689, score=0.737427 -   1.2s
[CV] c1=0.12148822594770455, c2=0.0036574949122799255 ................
[CV]  c1=0.12148822594770455, c2=0.0036574949122799255, score=0.810837 -   1.2s
[CV] c1=0.041486904881029095, c2=0.03130462922966571 .................
[CV]  c1=0.041486904881029095, c2=0.03130462922966571, score=0.888656 -   1.3s
[CV] c1=0.8162396634438217, c2=0.012314576856829886 ..................
[CV]  c1=0.8162396634438217, c2=0.012314576856829886, score=0.691117 -   1.3s
[CV] c1=0.8278528054254713, c2=0.006089432882426809 ..................
[CV]  c1=0.8278528054254713, c2=0.006089432882426809, score=0.658230 -   1.0s
[CV] c1=0.1224894967350899, c2=0.0285098750384583 ....................
[CV]  c1=0.1224894967350899, c2=0.0285098750384583, score=0.883482 -   1.3s
[CV] c1=0.8660010340153819, c2=0.11027038745170055 ...................
[CV]  c1=0.8660010340153819, c2=0.11027038745170055, score=0.630392 -   1.3s
[CV] c1=0.40188359160300635, c2=0.013111537283100987 .................
[CV]  c1=0.40188359160300635, c2=0.013111537283100987, score=0.881231 -   1.3s
[CV] c1=0.830009114107177, c2=0.0034222086990891814 ..................
[CV]  c1=0.830009114107177, c2=0.0034222086990891814, score=0.680890 -   0.9s
[CV] c1=0.05247004377226752, c2=0.11690177458614262 ..................
[CV]  c1=0.05247004377226752, c2=0.11690177458614262, score=0.799353 -   1.3s
[CV] c1=0.3978352444756519, c2=0.002072727541087433 ..................
[CV]  c1=0.3978352444756519, c2=0.002072727541087433, score=0.713380 -   1.0s
[CV] c1=0.18496617566233853, c2=0.07544129901141039 ..................
[CV]  c1=0.18496617566233853, c2=0.07544129901141039, score=0.781773 -   1.3s
[CV] c1=1.0366970968760056, c2=0.02448076446843689 ...................
[CV]  c1=1.0366970968760056, c2=0.02448076446843689, score=0.657040 -   1.3s
[CV] c1=0.12148822594770455, c2=0.0036574949122799255 ................
[CV]  c1=0.12148822594770455, c2=0.0036574949122799255, score=0.806167 -   1.3s
[CV] c1=0.18840894412063364, c2=0.02581581713139161 ..................
[CV]  c1=0.18840894412063364, c2=0.02581581713139161, score=0.810769 -   1.0s
[CV] c1=1.2509489705502612, c2=0.037179018884311264 ..................
[CV]  c1=1.2509489705502612, c2=0.037179018884311264, score=0.731745 -   1.2s
[CV] c1=0.6222498915613125, c2=0.011296677490134077 ..................
[CV]  c1=0.6222498915613125, c2=0.011296677490134077, score=0.832806 -   1.3s
[CV] c1=0.4678978661574418, c2=0.018042823800478926 ..................
[CV]  c1=0.4678978661574418, c2=0.018042823800478926, score=0.712028 -   1.0s
[CV] c1=0.21368701855162034, c2=0.0015740541249593212 ................
[CV]  c1=0.21368701855162034, c2=0.0015740541249593212, score=0.811509 -   1.3s
[CV] c1=0.037304518517793865, c2=0.016734685220228546 ................
[CV]  c1=0.037304518517793865, c2=0.016734685220228546, score=0.784955 -   1.3s
[CV] c1=0.3954689315764318, c2=0.0445881845604689 ....................
[CV]  c1=0.3954689315764318, c2=0.0445881845604689, score=0.707695 -   1.0s
[CV] c1=1.1256501397225984, c2=0.018853379949596752 ..................
[CV]  c1=1.1256501397225984, c2=0.018853379949596752, score=0.644933 -   1.0s
[CV] c1=0.13208139509691944, c2=0.06561921784515605 ..................
[CV]  c1=0.13208139509691944, c2=0.06561921784515605, score=0.869778 -   1.3s
[CV] c1=0.0528269287330099, c2=0.018060671087271336 ..................
[CV]  c1=0.0528269287330099, c2=0.018060671087271336, score=0.689696 -   1.1s
[CV] c1=0.7640368656230999, c2=0.10039001961660393 ...................
[CV]  c1=0.7640368656230999, c2=0.10039001961660393, score=0.641397 -   1.0s
[CV] c1=0.07603327536144228, c2=0.1452052795203397 ...................
[CV]  c1=0.07603327536144228, c2=0.1452052795203397, score=0.795432 -   1.2s
[CV] c1=1.0674098836573012, c2=0.010288823725011482 ..................
[CV]  c1=1.0674098836573012, c2=0.010288823725011482, score=0.740176 -   1.2s
[CV] c1=0.26719701436732185, c2=0.039683979940857844 .................
[CV]  c1=0.26719701436732185, c2=0.039683979940857844, score=0.808970 -   1.2s
[CV] c1=0.4817906256172655, c2=0.03899952766471099 ...................
[CV]  c1=0.4817906256172655, c2=0.03899952766471099, score=0.836960 -   1.2s
[CV] c1=0.08235834425928296, c2=0.014937689436838934 .................
[CV]  c1=0.08235834425928296, c2=0.014937689436838934, score=0.834061 -   1.3s
[CV] c1=0.49611040203266393, c2=0.06063952175102284 ..................
[CV]  c1=0.49611040203266393, c2=0.06063952175102284, score=0.793396 -   1.3s
[CV] c1=0.037304518517793865, c2=0.016734685220228546 ................
[CV]  c1=0.037304518517793865, c2=0.016734685220228546, score=0.700000 -   1.0s
[CV] c1=0.40188359160300635, c2=0.013111537283100987 .................
[CV]  c1=0.40188359160300635, c2=0.013111537283100987, score=0.712045 -   0.9s
[CV] c1=0.6737899422499969, c2=0.02080068140992164 ...................
[CV]  c1=0.6737899422499969, c2=0.02080068140992164, score=0.828019 -   1.2s
[CV] c1=0.9467762611690765, c2=0.043935398855781085 ..................
[CV]  c1=0.9467762611690765, c2=0.043935398855781085, score=0.659181 -   1.3s
[CV] c1=0.7025618745370235, c2=0.014854508387242216 ..................
[CV]  c1=0.7025618745370235, c2=0.014854508387242216, score=0.854238 -   1.2s
[CV] c1=0.6045012735934187, c2=0.03655495437660279 ...................
[CV]  c1=0.6045012735934187, c2=0.03655495437660279, score=0.705746 -   1.0s
[CV] c1=1.0366970968760056, c2=0.02448076446843689 ...................
[CV]  c1=1.0366970968760056, c2=0.02448076446843689, score=0.671452 -   1.3s
[CV] c1=1.0674098836573012, c2=0.010288823725011482 ..................
[CV]  c1=1.0674098836573012, c2=0.010288823725011482, score=0.659181 -   1.2s
[CV] c1=0.2168196981884929, c2=0.03125970090818026 ...................
[CV]  c1=0.2168196981884929, c2=0.03125970090818026, score=0.817155 -   1.1s
[CV] c1=0.4234954728016311, c2=0.052811018488557473 ..................
[CV]  c1=0.4234954728016311, c2=0.052811018488557473, score=0.779154 -   1.2s
[CV] c1=0.11100106715209647, c2=0.06870472404640676 ..................
[CV]  c1=0.11100106715209647, c2=0.06870472404640676, score=0.881661 -   1.3s
[CV] c1=0.015341343694669225, c2=0.07799633144822117 .................
[CV]  c1=0.015341343694669225, c2=0.07799633144822117, score=0.834061 -   1.3s
[CV] c1=0.28551639104003335, c2=0.06253148763543187 ..................
[CV]  c1=0.28551639104003335, c2=0.06253148763543187, score=0.860401 -   1.2s
[CV] c1=0.5595740725523412, c2=0.020682588104193843 ..................
[CV]  c1=0.5595740725523412, c2=0.020682588104193843, score=0.837093 -   1.2s
[CV] c1=0.30620902522343396, c2=0.08475835013917343 ..................
[CV]  c1=0.30620902522343396, c2=0.08475835013917343, score=0.744045 -   1.3s
[CV] c1=0.9467762611690765, c2=0.043935398855781085 ..................
[CV]  c1=0.9467762611690765, c2=0.043935398855781085, score=0.644603 -   1.0s
[CV] c1=0.9189588206188103, c2=0.026283131358764575 ..................
[CV]  c1=0.9189588206188103, c2=0.026283131358764575, score=0.632507 -   1.3s
[CV] c1=0.33280416866605217, c2=0.03840093837102723 ..................
[CV]  c1=0.33280416866605217, c2=0.03840093837102723, score=0.767357 -   1.3s
[CV] c1=0.07603327536144228, c2=0.1452052795203397 ...................
[CV]  c1=0.07603327536144228, c2=0.1452052795203397, score=0.874698 -   1.2s
[CV] c1=1.0674098836573012, c2=0.010288823725011482 ..................
[CV]  c1=1.0674098836573012, c2=0.010288823725011482, score=0.836849 -   1.2s
[CV] c1=1.0398641768041168, c2=0.029008300837244812 ..................
[CV]  c1=1.0398641768041168, c2=0.029008300837244812, score=0.671452 -   1.3s
[CV] c1=0.4817906256172655, c2=0.03899952766471099 ...................
[CV]  c1=0.4817906256172655, c2=0.03899952766471099, score=0.759652 -   1.2s
[CV] c1=0.08235834425928296, c2=0.014937689436838934 .................
[CV]  c1=0.08235834425928296, c2=0.014937689436838934, score=0.797163 -   1.3s
[CV] c1=0.49611040203266393, c2=0.06063952175102284 ..................
[CV]  c1=0.49611040203266393, c2=0.06063952175102284, score=0.770241 -   1.2s
[CV] c1=0.14208185317777577, c2=0.18903230090349632 ..................
[CV]  c1=0.14208185317777577, c2=0.18903230090349632, score=0.745339 -   1.3s
[CV] c1=0.14814091846984684, c2=0.02905601459779374 ..................
[CV]  c1=0.14814091846984684, c2=0.02905601459779374, score=0.811848 -   1.2s
[CV] c1=0.22242529884527956, c2=0.001726570729737258 .................
[CV]  c1=0.22242529884527956, c2=0.001726570729737258, score=0.817155 -   1.2s
[CV] c1=0.13208139509691944, c2=0.06561921784515605 ..................
[CV]  c1=0.13208139509691944, c2=0.06561921784515605, score=0.797094 -   1.3s
[CV] c1=0.0528269287330099, c2=0.018060671087271336 ..................
[CV]  c1=0.0528269287330099, c2=0.018060671087271336, score=0.804670 -   1.2s
[CV] c1=0.03143458605028879, c2=0.059375162235667016 .................
[CV]  c1=0.03143458605028879, c2=0.059375162235667016, score=0.811368 -   1.2s
[CV] c1=0.6894862230439859, c2=0.0032053730083677853 .................
[CV]  c1=0.6894862230439859, c2=0.0032053730083677853, score=0.707957 -   1.0s
[CV] c1=0.23856708336709848, c2=0.03702898225966359 ..................
[CV]  c1=0.23856708336709848, c2=0.03702898225966359, score=0.804519 -   1.2s
[CV] c1=1.0398641768041168, c2=0.029008300837244812 ..................
[CV]  c1=1.0398641768041168, c2=0.029008300837244812, score=0.830596 -   1.2s
[CV] c1=0.19058867794581283, c2=0.04298452712087092 ..................
[CV]  c1=0.19058867794581283, c2=0.04298452712087092, score=0.687871 -   1.0s
[CV] c1=0.7615252297316173, c2=0.2559146490206223 ....................
[CV]  c1=0.7615252297316173, c2=0.2559146490206223, score=0.790224 -   1.2s
[CV] c1=0.6764072789743412, c2=0.019391502739669723 ..................
[CV]  c1=0.6764072789743412, c2=0.019391502739669723, score=0.695635 -   1.0s
[CV] c1=0.28551639104003335, c2=0.06253148763543187 ..................
[CV]  c1=0.28551639104003335, c2=0.06253148763543187, score=0.803390 -   1.2s
[CV] c1=0.5595740725523412, c2=0.020682588104193843 ..................
[CV]  c1=0.5595740725523412, c2=0.020682588104193843, score=0.765083 -   1.2s
[CV] c1=0.30620902522343396, c2=0.08475835013917343 ..................
[CV]  c1=0.30620902522343396, c2=0.08475835013917343, score=0.859036 -   1.3s
[CV] c1=0.05247004377226752, c2=0.11690177458614262 ..................
[CV]  c1=0.05247004377226752, c2=0.11690177458614262, score=0.788572 -   1.2s
[CV] c1=0.15162981911612544, c2=0.12520605910502144 ..................
[CV]  c1=0.15162981911612544, c2=0.12520605910502144, score=0.784992 -   1.3s
[CV] c1=1.7276113388587833, c2=0.0009721091705500321 .................
[CV]  c1=1.7276113388587833, c2=0.0009721091705500321, score=0.782236 -   1.2s
[CV] c1=0.07603327536144228, c2=0.1452052795203397 ...................
[CV]  c1=0.07603327536144228, c2=0.1452052795203397, score=0.777470 -   1.3s
[CV] c1=1.0674098836573012, c2=0.010288823725011482 ..................
[CV]  c1=1.0674098836573012, c2=0.010288823725011482, score=0.675197 -   1.2s
[CV] c1=0.041486904881029095, c2=0.03130462922966571 .................
[CV]  c1=0.041486904881029095, c2=0.03130462922966571, score=0.823012 -   1.2s
[CV] c1=0.19058867794581283, c2=0.04298452712087092 ..................
[CV]  c1=0.19058867794581283, c2=0.04298452712087092, score=0.796321 -   1.3s
[CV] c1=0.08235834425928296, c2=0.014937689436838934 .................
[CV]  c1=0.08235834425928296, c2=0.014937689436838934, score=0.678511 -   1.0s
[CV] c1=0.6764072789743412, c2=0.019391502739669723 ..................
[CV]  c1=0.6764072789743412, c2=0.019391502739669723, score=0.836226 -   1.2s
[CV] c1=0.5825814512661628, c2=0.04050782071453343 ...................
[CV]  c1=0.5825814512661628, c2=0.04050782071453343, score=0.739831 -   1.3s
[CV] c1=0.31741296467975944, c2=0.004889220249110515 .................
[CV]  c1=0.31741296467975944, c2=0.004889220249110515, score=0.801333 -   1.2s
[CV] c1=0.6827746303226107, c2=0.02023779198682862 ...................
[CV]  c1=0.6827746303226107, c2=0.02023779198682862, score=0.732238 -   1.3s
[CV] c1=0.01824921638786281, c2=0.014419365500497959 .................
[CV]  c1=0.01824921638786281, c2=0.014419365500497959, score=0.810142 -   1.2s
[CV] c1=0.7025618745370235, c2=0.014854508387242216 ..................
[CV]  c1=0.7025618745370235, c2=0.014854508387242216, score=0.741300 -   1.2s
[CV] c1=0.6045012735934187, c2=0.03655495437660279 ...................
[CV]  c1=0.6045012735934187, c2=0.03655495437660279, score=0.725924 -   1.2s
[CV] c1=0.47450869005330804, c2=0.08140173158881378 ..................
[CV]  c1=0.47450869005330804, c2=0.08140173158881378, score=0.737969 -   1.3s
[CV] c1=0.23856708336709848, c2=0.03702898225966359 ..................
[CV]  c1=0.23856708336709848, c2=0.03702898225966359, score=0.796312 -   1.2s
[CV] c1=0.041486904881029095, c2=0.03130462922966571 .................
[CV]  c1=0.041486904881029095, c2=0.03130462922966571, score=0.834061 -   1.2s
[CV] c1=0.8162396634438217, c2=0.012314576856829886 ..................
[CV]  c1=0.8162396634438217, c2=0.012314576856829886, score=0.745507 -   1.2s
[CV] c1=0.7615252297316173, c2=0.2559146490206223 ....................
[CV]  c1=0.7615252297316173, c2=0.2559146490206223, score=0.637501 -   1.3s
[CV] c1=0.8089650013158115, c2=0.003033108791950899 ..................
[CV]  c1=0.8089650013158115, c2=0.003033108791950899, score=0.719146 -   1.3s
[CV] c1=0.14208185317777577, c2=0.18903230090349632 ..................
[CV]  c1=0.14208185317777577, c2=0.18903230090349632, score=0.862754 -   1.2s
[CV] c1=0.14814091846984684, c2=0.02905601459779374 ..................
[CV]  c1=0.14814091846984684, c2=0.02905601459779374, score=0.871600 -   1.2s
[CV] c1=0.830009114107177, c2=0.0034222086990891814 ..................
[CV]  c1=0.830009114107177, c2=0.0034222086990891814, score=0.691117 -   1.3s
[CV] c1=0.13208139509691944, c2=0.06561921784515605 ..................
[CV]  c1=0.13208139509691944, c2=0.06561921784515605, score=0.689205 -   1.0s
[CV] c1=0.7025618745370235, c2=0.014854508387242216 ..................
[CV]  c1=0.7025618745370235, c2=0.014854508387242216, score=0.729148 -   1.3s
[CV] c1=0.7640368656230999, c2=0.10039001961660393 ...................
[CV]  c1=0.7640368656230999, c2=0.10039001961660393, score=0.823351 -   1.2s
[CV] c1=0.47450869005330804, c2=0.08140173158881378 ..................
[CV]  c1=0.47450869005330804, c2=0.08140173158881378, score=0.775585 -   1.3s
[CV] c1=0.06116340406456156, c2=0.010559943195825518 .................
[CV]  c1=0.06116340406456156, c2=0.010559943195825518, score=0.794425 -   1.1s
[CV] c1=0.2168196981884929, c2=0.03125970090818026 ...................
[CV]  c1=0.2168196981884929, c2=0.03125970090818026, score=0.874944 -   1.2s
[CV] c1=0.12589388523068204, c2=0.008113716246739197 .................
[CV]  c1=0.12589388523068204, c2=0.008113716246739197, score=0.891850 -   1.2s
[CV] c1=0.15267910780370592, c2=0.030381787890255803 .................
[CV]  c1=0.15267910780370592, c2=0.030381787890255803, score=0.823750 -   1.3s
[CV] c1=0.1224894967350899, c2=0.0285098750384583 ....................
[CV]  c1=0.1224894967350899, c2=0.0285098750384583, score=0.691711 -   1.0s
[CV] c1=0.9270921393503371, c2=0.04793607124346225 ...................
[CV]  c1=0.9270921393503371, c2=0.04793607124346225, score=0.671452 -   1.3s
[CV] c1=0.5595740725523412, c2=0.020682588104193843 ..................
[CV]  c1=0.5595740725523412, c2=0.020682588104193843, score=0.785587 -   1.4s
[CV] c1=0.6737899422499969, c2=0.02080068140992164 ...................
[CV]  c1=0.6737899422499969, c2=0.02080068140992164, score=0.745507 -   1.2s
[CV] c1=0.9467762611690765, c2=0.043935398855781085 ..................
[CV]  c1=0.9467762611690765, c2=0.043935398855781085, score=0.740176 -   1.2s
[CV] c1=0.3978352444756519, c2=0.002072727541087433 ..................
[CV]  c1=0.3978352444756519, c2=0.002072727541087433, score=0.813916 -   1.3s
[CV] c1=0.6045012735934187, c2=0.03655495437660279 ...................
[CV]  c1=0.6045012735934187, c2=0.03655495437660279, score=0.752036 -   1.3s
[CV] c1=0.48250744912491206, c2=0.10913615450105958 ..................
[CV]  c1=0.48250744912491206, c2=0.10913615450105958, score=0.827742 -   1.2s
[CV] c1=0.06116340406456156, c2=0.010559943195825518 .................
[CV]  c1=0.06116340406456156, c2=0.010559943195825518, score=0.682482 -   1.0s
[CV] c1=1.0398641768041168, c2=0.029008300837244812 ..................
[CV]  c1=1.0398641768041168, c2=0.029008300837244812, score=0.737427 -   1.2s
[CV] c1=0.19058867794581283, c2=0.04298452712087092 ..................
[CV]  c1=0.19058867794581283, c2=0.04298452712087092, score=0.808970 -   1.2s
[CV] c1=0.8278528054254713, c2=0.006089432882426809 ..................
[CV]  c1=0.8278528054254713, c2=0.006089432882426809, score=0.745507 -   1.2s
[CV] c1=0.8089650013158115, c2=0.003033108791950899 ..................
[CV]  c1=0.8089650013158115, c2=0.003033108791950899, score=0.759301 -   1.2s
[CV] c1=0.2588287278761264, c2=0.05562748422220981 ...................
[CV]  c1=0.2588287278761264, c2=0.05562748422220981, score=0.787903 -   1.2s
[CV] c1=0.40188359160300635, c2=0.013111537283100987 .................
[CV]  c1=0.40188359160300635, c2=0.013111537283100987, score=0.816813 -   1.3s
[CV] c1=0.22242529884527956, c2=0.001726570729737258 .................
[CV]  c1=0.22242529884527956, c2=0.001726570729737258, score=0.808161 -   1.3s
[CV] c1=0.13208139509691944, c2=0.06561921784515605 ..................
[CV]  c1=0.13208139509691944, c2=0.06561921784515605, score=0.775701 -   1.3s
[CV] c1=0.07395022035693057, c2=0.02449366958028576 ..................
[CV]  c1=0.07395022035693057, c2=0.02449366958028576, score=0.877053 -   1.2s
[CV] c1=0.08814862620520324, c2=0.029799045061197422 .................
[CV]  c1=0.08814862620520324, c2=0.029799045061197422, score=0.896841 -   1.2s
[CV] c1=0.6366055332913967, c2=0.001397118930965426 ..................
[CV]  c1=0.6366055332913967, c2=0.001397118930965426, score=0.706360 -   1.0s
[CV] c1=0.06116340406456156, c2=0.010559943195825518 .................
[CV]  c1=0.06116340406456156, c2=0.010559943195825518, score=0.832432 -   1.2s
[CV] c1=0.2168196981884929, c2=0.03125970090818026 ...................
[CV]  c1=0.2168196981884929, c2=0.03125970090818026, score=0.807541 -   1.4s
[CV] c1=1.1062040206990043, c2=0.008321265098177566 ..................
[CV]  c1=1.1062040206990043, c2=0.008321265098177566, score=0.640304 -   1.0s
[CV] c1=0.11100106715209647, c2=0.06870472404640676 ..................
[CV]  c1=0.11100106715209647, c2=0.06870472404640676, score=0.775701 -   1.3s
[CV] c1=0.33012012231575216, c2=0.04813933370374048 ..................
[CV]  c1=0.33012012231575216, c2=0.04813933370374048, score=0.793413 -   1.4s
[CV] c1=0.5825814512661628, c2=0.04050782071453343 ...................
[CV]  c1=0.5825814512661628, c2=0.04050782071453343, score=0.825202 -   1.2s
[CV] c1=0.31741296467975944, c2=0.004889220249110515 .................
[CV]  c1=0.31741296467975944, c2=0.004889220249110515, score=0.893360 -   1.2s
[CV] c1=0.6827746303226107, c2=0.02023779198682862 ...................
[CV]  c1=0.6827746303226107, c2=0.02023779198682862, score=0.695635 -   1.0s
[CV] c1=0.05247004377226752, c2=0.11690177458614262 ..................
[CV]  c1=0.05247004377226752, c2=0.11690177458614262, score=0.805118 -   1.3s
[CV] c1=0.3978352444756519, c2=0.002072727541087433 ..................
[CV]  c1=0.3978352444756519, c2=0.002072727541087433, score=0.885308 -   1.3s
[CV] c1=0.6045012735934187, c2=0.03655495437660279 ...................
[CV]  c1=0.6045012735934187, c2=0.03655495437660279, score=0.829798 -   1.3s
[CV] c1=0.47450869005330804, c2=0.08140173158881378 ..................
[CV]  c1=0.47450869005330804, c2=0.08140173158881378, score=0.827742 -   1.3s
[CV] c1=0.23856708336709848, c2=0.03702898225966359 ..................
[CV]  c1=0.23856708336709848, c2=0.03702898225966359, score=0.803858 -   1.3s
[CV] c1=0.0334674840031809, c2=0.3290662774990729 ....................
[CV]  c1=0.0334674840031809, c2=0.3290662774990729, score=0.850501 -   1.0s
[CV] c1=1.2509489705502612, c2=0.037179018884311264 ..................
[CV]  c1=1.2509489705502612, c2=0.037179018884311264, score=0.615172 -   1.0s
[CV] c1=1.224514983454904, c2=0.07138855299808204 ....................
[CV]  c1=1.224514983454904, c2=0.07138855299808204, score=0.763227 -   1.3s
[CV] c1=0.7329171281945546, c2=0.1025142427381945 ....................
[CV]  c1=0.7329171281945546, c2=0.1025142427381945, score=0.829779 -   1.3s
[CV] c1=0.21368701855162034, c2=0.0015740541249593212 ................
[CV]  c1=0.21368701855162034, c2=0.0015740541249593212, score=0.724403 -   1.1s
[CV] c1=0.2588287278761264, c2=0.05562748422220981 ...................
[CV]  c1=0.2588287278761264, c2=0.05562748422220981, score=0.808970 -   1.3s
[CV] c1=0.14814091846984684, c2=0.02905601459779374 ..................
[CV]  c1=0.14814091846984684, c2=0.02905601459779374, score=0.687190 -   1.1s
[CV] c1=0.830009114107177, c2=0.0034222086990891814 ..................
[CV]  c1=0.830009114107177, c2=0.0034222086990891814, score=0.817560 -   1.3s
[CV] c1=0.3038191137983108, c2=0.09359833793469712 ...................
[CV]  c1=0.3038191137983108, c2=0.09359833793469712, score=0.748307 -   1.3s
[CV] c1=0.2903637085262638, c2=0.015308220257334693 ..................
[CV]  c1=0.2903637085262638, c2=0.015308220257334693, score=0.821658 -   1.3s
[CV] c1=0.03143458605028879, c2=0.059375162235667016 .................
[CV]  c1=0.03143458605028879, c2=0.059375162235667016, score=0.821538 -   1.2s
[CV] c1=0.6894862230439859, c2=0.0032053730083677853 .................
[CV]  c1=0.6894862230439859, c2=0.0032053730083677853, score=0.791731 -   1.3s
[CV] c1=0.47540559748736155, c2=0.07835410020505391 ..................
[CV]  c1=0.47540559748736155, c2=0.07835410020505391, score=0.693919 -   0.9s
[CV] c1=0.18840894412063364, c2=0.02581581713139161 ..................
[CV]  c1=0.18840894412063364, c2=0.02581581713139161, score=0.807541 -   1.1s
[CV] c1=0.4234954728016311, c2=0.052811018488557473 ..................
[CV]  c1=0.4234954728016311, c2=0.052811018488557473, score=0.738982 -   1.3s
[CV] c1=0.6222498915613125, c2=0.011296677490134077 ..................
[CV]  c1=0.6222498915613125, c2=0.011296677490134077, score=0.791086 -   1.4s
[CV] c1=0.015341343694669225, c2=0.07799633144822117 .................
[CV]  c1=0.015341343694669225, c2=0.07799633144822117, score=0.820443 -   1.2s
[CV] c1=0.9270921393503371, c2=0.04793607124346225 ...................
[CV]  c1=0.9270921393503371, c2=0.04793607124346225, score=0.740176 -   1.2s
[CV] c1=0.19603449332233544, c2=0.025237762982165346 .................
[CV]  c1=0.19603449332233544, c2=0.025237762982165346, score=0.802826 -   1.3s
[CV] c1=0.30620902522343396, c2=0.08475835013917343 ..................
[CV]  c1=0.30620902522343396, c2=0.08475835013917343, score=0.784811 -   1.2s
[CV] c1=0.9467762611690765, c2=0.043935398855781085 ..................
[CV]  c1=0.9467762611690765, c2=0.043935398855781085, score=0.836229 -   1.3s
[CV] c1=0.3978352444756519, c2=0.002072727541087433 ..................
[CV]  c1=0.3978352444756519, c2=0.002072727541087433, score=0.823088 -   1.3s
[CV] c1=1.7276113388587833, c2=0.0009721091705500321 .................
[CV]  c1=1.7276113388587833, c2=0.0009721091705500321, score=0.605604 -   1.4s
[CV] c1=0.47450869005330804, c2=0.08140173158881378 ..................
[CV]  c1=0.47450869005330804, c2=0.08140173158881378, score=0.770241 -   1.2s
[CV] c1=0.06116340406456156, c2=0.010559943195825518 .................
[CV]  c1=0.06116340406456156, c2=0.010559943195825518, score=0.881158 -   1.3s
[CV] c1=0.0334674840031809, c2=0.3290662774990729 ....................
[CV]  c1=0.0334674840031809, c2=0.3290662774990729, score=0.720990 -   0.8s
[CV] c1=1.2509489705502612, c2=0.037179018884311264 ..................
[CV]  c1=1.2509489705502612, c2=0.037179018884311264, score=0.771970 -   1.3s
[CV] c1=1.224514983454904, c2=0.07138855299808204 ....................
[CV]  c1=1.224514983454904, c2=0.07138855299808204, score=0.590694 -   1.0s
[CV] c1=0.8278528054254713, c2=0.006089432882426809 ..................
[CV]  c1=0.8278528054254713, c2=0.006089432882426809, score=0.836922 -   1.3s
[CV] c1=0.8089650013158115, c2=0.003033108791950899 ..................
[CV]  c1=0.8089650013158115, c2=0.003033108791950899, score=0.691117 -   1.4s
[CV] c1=0.14208185317777577, c2=0.18903230090349632 ..................
[CV]  c1=0.14208185317777577, c2=0.18903230090349632, score=0.790223 -   1.2s
[CV] c1=0.14814091846984684, c2=0.02905601459779374 ..................
[CV]  c1=0.14814091846984684, c2=0.02905601459779374, score=0.775701 -   1.4s
[CV] c1=1.1256501397225984, c2=0.018853379949596752 ..................
[CV]  c1=1.1256501397225984, c2=0.018853379949596752, score=0.652697 -   1.3s
[CV] c1=0.5204870426195805, c2=0.024335561870213657 ..................
[CV]  c1=0.5204870426195805, c2=0.024335561870213657, score=0.791086 -   1.4s
[CV] c1=0.21073791730865923, c2=0.00041167594776075683 ...............
[CV]  c1=0.21073791730865923, c2=0.00041167594776075683, score=0.723526 -   1.0s
[CV] c1=0.08814862620520324, c2=0.029799045061197422 .................
[CV]  c1=0.08814862620520324, c2=0.029799045061197422, score=0.706742 -   1.1s
[CV] c1=0.6894862230439859, c2=0.0032053730083677853 .................
[CV]  c1=0.6894862230439859, c2=0.0032053730083677853, score=0.777251 -   1.2s
[CV] c1=0.354152199963702, c2=0.02015494000947058 ....................
[CV]  c1=0.354152199963702, c2=0.02015494000947058, score=0.712028 -   1.0s
[CV] c1=0.18840894412063364, c2=0.02581581713139161 ..................
[CV]  c1=0.18840894412063364, c2=0.02581581713139161, score=0.790614 -   1.2s
[CV] c1=0.8877334338027107, c2=0.08338406708646236 ...................
[CV]  c1=0.8877334338027107, c2=0.08338406708646236, score=0.740176 -   1.2s
[CV] c1=0.11100106715209647, c2=0.06870472404640676 ..................
[CV]  c1=0.11100106715209647, c2=0.06870472404640676, score=0.798366 -   1.3s
[CV] c1=0.015341343694669225, c2=0.07799633144822117 .................
[CV]  c1=0.015341343694669225, c2=0.07799633144822117, score=0.811700 -   1.3s
[CV] c1=0.28551639104003335, c2=0.06253148763543187 ..................
[CV]  c1=0.28551639104003335, c2=0.06253148763543187, score=0.782742 -   1.3s
[CV] c1=0.7619660265528359, c2=0.0815990854627302 ....................
[CV]  c1=0.7619660265528359, c2=0.0815990854627302, score=0.823351 -   1.3s
[CV] c1=0.6737899422499969, c2=0.02080068140992164 ...................
[CV]  c1=0.6737899422499969, c2=0.02080068140992164, score=0.728142 -   1.3s
[CV] c1=0.01824921638786281, c2=0.014419365500497959 .................
[CV]  c1=0.01824921638786281, c2=0.014419365500497959, score=0.899502 -   1.3s
[CV] c1=0.7025618745370235, c2=0.014854508387242216 ..................
[CV]  c1=0.7025618745370235, c2=0.014854508387242216, score=0.702878 -   1.3s
[CV] c1=0.6045012735934187, c2=0.03655495437660279 ...................
[CV]  c1=0.6045012735934187, c2=0.03655495437660279, score=0.785587 -   1.3s
[CV] c1=0.48250744912491206, c2=0.10913615450105958 ..................
[CV]  c1=0.48250744912491206, c2=0.10913615450105958, score=0.688818 -   1.0s
[CV] c1=0.23856708336709848, c2=0.03702898225966359 ..................
[CV]  c1=0.23856708336709848, c2=0.03702898225966359, score=0.871008 -   1.2s
[CV] c1=0.2168196981884929, c2=0.03125970090818026 ...................
[CV]  c1=0.2168196981884929, c2=0.03125970090818026, score=0.802826 -   1.2s
[CV] c1=0.12589388523068204, c2=0.008113716246739197 .................
[CV]  c1=0.12589388523068204, c2=0.008113716246739197, score=0.831741 -   1.3s
[CV] c1=0.1513129923821222, c2=0.01923419410184113 ...................
[CV]  c1=0.1513129923821222, c2=0.01923419410184113, score=0.689698 -   1.0s
[CV] c1=0.015341343694669225, c2=0.07799633144822117 .................
[CV]  c1=0.015341343694669225, c2=0.07799633144822117, score=0.726560 -   1.0s
[CV] c1=1.709152989648552, c2=0.035568815007143054 ...................
[CV]  c1=1.709152989648552, c2=0.035568815007143054, score=0.600285 -   1.3s
[CV] c1=0.6437061768252308, c2=0.07871254477324935 ...................
[CV]  c1=0.6437061768252308, c2=0.07871254477324935, score=0.787638 -   1.4s
[CV] c1=0.28298676543023854, c2=0.05944130459394801 ..................
[CV]  c1=0.28298676543023854, c2=0.05944130459394801, score=0.782742 -   1.3s
[CV] c1=0.05247004377226752, c2=0.11690177458614262 ..................
[CV]  c1=0.05247004377226752, c2=0.11690177458614262, score=0.876429 -   1.3s
[CV] c1=0.15162981911612544, c2=0.12520605910502144 ..................
[CV]  c1=0.15162981911612544, c2=0.12520605910502144, score=0.705414 -   1.0s
[CV] c1=0.18496617566233853, c2=0.07544129901141039 ..................
[CV]  c1=0.18496617566233853, c2=0.07544129901141039, score=0.869190 -   1.2s
[CV] c1=1.3723038114693806, c2=0.027500352824269284 ..................
[CV]  c1=1.3723038114693806, c2=0.027500352824269284, score=0.615721 -   1.0s
[CV] c1=0.4490156746645725, c2=0.0694671723173939 ....................
[CV]  c1=0.4490156746645725, c2=0.0694671723173939, score=0.706360 -   1.0s
[CV] c1=0.354152199963702, c2=0.02015494000947058 ....................
[CV]  c1=0.354152199963702, c2=0.02015494000947058, score=0.810669 -   1.2s
[CV] c1=0.26719701436732185, c2=0.039683979940857844 .................
[CV]  c1=0.26719701436732185, c2=0.039683979940857844, score=0.795141 -   1.2s
[CV] c1=0.4817906256172655, c2=0.03899952766471099 ...................
[CV]  c1=0.4817906256172655, c2=0.03899952766471099, score=0.738982 -   1.3s
[CV] c1=0.08235834425928296, c2=0.014937689436838934 .................
[CV]  c1=0.08235834425928296, c2=0.014937689436838934, score=0.784412 -   1.3s
[CV] c1=0.21368701855162034, c2=0.0015740541249593212 ................
[CV]  c1=0.21368701855162034, c2=0.0015740541249593212, score=0.888007 -   1.2s
[CV] c1=0.037304518517793865, c2=0.016734685220228546 ................
[CV]  c1=0.037304518517793865, c2=0.016734685220228546, score=0.888716 -   1.2s
[CV] c1=0.14085270040652179, c2=0.13997438751803878 ..................
[CV]  c1=0.14085270040652179, c2=0.13997438751803878, score=0.872450 -   1.3s
[CV] c1=1.1256501397225984, c2=0.018853379949596752 ..................
[CV]  c1=1.1256501397225984, c2=0.018853379949596752, score=0.835340 -   1.2s
[CV] c1=0.5204870426195805, c2=0.024335561870213657 ..................
[CV]  c1=0.5204870426195805, c2=0.024335561870213657, score=0.712028 -   1.0s
[CV] c1=0.2903637085262638, c2=0.015308220257334693 ..................
[CV]  c1=0.2903637085262638, c2=0.015308220257334693, score=0.797333 -   1.3s
[CV] c1=0.03143458605028879, c2=0.059375162235667016 .................
[CV]  c1=0.03143458605028879, c2=0.059375162235667016, score=0.897876 -   1.2s
[CV] c1=0.6894862230439859, c2=0.0032053730083677853 .................
[CV]  c1=0.6894862230439859, c2=0.0032053730083677853, score=0.829567 -   1.3s
[CV] c1=0.354152199963702, c2=0.02015494000947058 ....................
[CV]  c1=0.354152199963702, c2=0.02015494000947058, score=0.780349 -   1.2s
[CV] c1=0.041486904881029095, c2=0.03130462922966571 .................
[CV]  c1=0.041486904881029095, c2=0.03130462922966571, score=0.821001 -   1.2s
[CV] c1=0.8162396634438217, c2=0.012314576856829886 ..................
[CV]  c1=0.8162396634438217, c2=0.012314576856829886, score=0.726637 -   1.3s
[CV] c1=0.8278528054254713, c2=0.006089432882426809 ..................
[CV]  c1=0.8278528054254713, c2=0.006089432882426809, score=0.691117 -   1.3s
[CV] c1=0.49611040203266393, c2=0.06063952175102284 ..................
[CV]  c1=0.49611040203266393, c2=0.06063952175102284, score=0.730941 -   1.3s
[CV] c1=0.14208185317777577, c2=0.18903230090349632 ..................
[CV]  c1=0.14208185317777577, c2=0.18903230090349632, score=0.790122 -   1.4s
[CV] c1=0.14085270040652179, c2=0.13997438751803878 ..................
[CV]  c1=0.14085270040652179, c2=0.13997438751803878, score=0.762647 -   1.3s
[CV] c1=1.1256501397225984, c2=0.018853379949596752 ..................
[CV]  c1=1.1256501397225984, c2=0.018853379949596752, score=0.737427 -   1.2s
[CV] c1=0.5204870426195805, c2=0.024335561870213657 ..................
[CV]  c1=0.5204870426195805, c2=0.024335561870213657, score=0.765083 -   1.2s
[CV] c1=0.07395022035693057, c2=0.02449366958028576 ..................
[CV]  c1=0.07395022035693057, c2=0.02449366958028576, score=0.691711 -   1.0s
[CV] c1=0.7640368656230999, c2=0.10039001961660393 ...................
[CV]  c1=0.7640368656230999, c2=0.10039001961660393, score=0.740176 -   1.2s
[CV] c1=0.48250744912491206, c2=0.10913615450105958 ..................
[CV]  c1=0.48250744912491206, c2=0.10913615450105958, score=0.732704 -   1.2s
[CV] c1=0.06116340406456156, c2=0.010559943195825518 .................
[CV]  c1=0.06116340406456156, c2=0.010559943195825518, score=0.778339 -   1.2s
[CV] c1=0.0334674840031809, c2=0.3290662774990729 ....................
[CV]  c1=0.0334674840031809, c2=0.3290662774990729, score=0.729086 -   1.3s
[CV] c1=0.4234954728016311, c2=0.052811018488557473 ..................
[CV]  c1=0.4234954728016311, c2=0.052811018488557473, score=0.706360 -   0.9s
[CV] c1=1.224514983454904, c2=0.07138855299808204 ....................
[CV]  c1=1.224514983454904, c2=0.07138855299808204, score=0.617788 -   1.4s
[CV] c1=0.7329171281945546, c2=0.1025142427381945 ....................
[CV]  c1=0.7329171281945546, c2=0.1025142427381945, score=0.684728 -   1.3s
[CV] c1=1.709152989648552, c2=0.035568815007143054 ...................
[CV]  c1=1.709152989648552, c2=0.035568815007143054, score=0.531876 -   1.1s
[CV] c1=0.037304518517793865, c2=0.016734685220228546 ................
[CV]  c1=0.037304518517793865, c2=0.016734685220228546, score=0.794425 -   1.2s
[CV] c1=0.14085270040652179, c2=0.13997438751803878 ..................
[CV]  c1=0.14085270040652179, c2=0.13997438751803878, score=0.790223 -   1.3s
[CV] c1=1.1256501397225984, c2=0.018853379949596752 ..................
[CV]  c1=1.1256501397225984, c2=0.018853379949596752, score=0.633684 -   1.3s
[CV] c1=0.06059163305356962, c2=0.06002859773783808 ..................
[CV]  c1=0.06059163305356962, c2=0.06002859773783808, score=0.730291 -   1.1s
[CV] c1=0.07395022035693057, c2=0.02449366958028576 ..................
[CV]  c1=0.07395022035693057, c2=0.02449366958028576, score=0.831741 -   1.3s
[CV] c1=0.08814862620520324, c2=0.029799045061197422 .................
[CV]  c1=0.08814862620520324, c2=0.029799045061197422, score=0.779285 -   1.3s
[CV] c1=0.4490156746645725, c2=0.0694671723173939 ....................
[CV]  c1=0.4490156746645725, c2=0.0694671723173939, score=0.859063 -   1.3s
[CV] c1=0.4841117521471548, c2=0.018948912996004843 ..................
[CV]  c1=0.4841117521471548, c2=0.018948912996004843, score=0.710693 -   1.0s
[CV] c1=0.2168196981884929, c2=0.03125970090818026 ...................
[CV]  c1=0.2168196981884929, c2=0.03125970090818026, score=0.712358 -   1.0s
[CV] c1=1.2509489705502612, c2=0.037179018884311264 ..................
[CV]  c1=1.2509489705502612, c2=0.037179018884311264, score=0.565080 -   1.3s
[CV] c1=0.6222498915613125, c2=0.011296677490134077 ..................
[CV]  c1=0.6222498915613125, c2=0.011296677490134077, score=0.725583 -   1.4s
[CV] c1=0.015341343694669225, c2=0.07799633144822117 .................
[CV]  c1=0.015341343694669225, c2=0.07799633144822117, score=0.890107 -   1.2s
[CV] c1=0.9270921393503371, c2=0.04793607124346225 ...................
[CV]  c1=0.9270921393503371, c2=0.04793607124346225, score=0.651917 -   1.0s
[CV] c1=0.6437061768252308, c2=0.07871254477324935 ...................
[CV]  c1=0.6437061768252308, c2=0.07871254477324935, score=0.697143 -   1.3s
[CV] c1=0.3954689315764318, c2=0.0445881845604689 ....................
[CV]  c1=0.3954689315764318, c2=0.0445881845604689, score=0.798182 -   1.3s
[CV] c1=0.7928054200165806, c2=0.1075521385235751 ....................
[CV]  c1=0.7928054200165806, c2=0.1075521385235751, score=0.740176 -   1.2s
[CV] c1=0.06059163305356962, c2=0.06002859773783808 ..................
[CV]  c1=0.06059163305356962, c2=0.06002859773783808, score=0.813590 -   1.2s
[CV] c1=0.21073791730865923, c2=0.00041167594776075683 ...............
[CV]  c1=0.21073791730865923, c2=0.00041167594776075683, score=0.815574 -   1.3s
[CV] c1=0.3048137789123368, c2=0.021378952184981093 ..................
[CV]  c1=0.3048137789123368, c2=0.021378952184981093, score=0.798964 -   1.2s
[CV] c1=1.8249188559537604, c2=0.06746073357183952 ...................
[CV]  c1=1.8249188559537604, c2=0.06746073357183952, score=0.746794 -   1.2s
[CV] c1=0.7308179737847172, c2=0.2582403470429481 ....................
[CV]  c1=0.7308179737847172, c2=0.2582403470429481, score=0.569701 -   0.8s
[CV] c1=0.00017349682901428325, c2=0.07978979191208807 ...............
[CV]  c1=0.00017349682901428325, c2=0.07978979191208807, score=0.821538 -   1.3s
[CV] c1=1.1062040206990043, c2=0.008321265098177566 ..................
[CV]  c1=1.1062040206990043, c2=0.008321265098177566, score=0.737427 -   1.2s
[CV] c1=0.1513129923821222, c2=0.01923419410184113 ...................
[CV]  c1=0.1513129923821222, c2=0.01923419410184113, score=0.829462 -   1.3s
[CV] c1=0.1224894967350899, c2=0.0285098750384583 ....................
[CV]  c1=0.1224894967350899, c2=0.0285098750384583, score=0.776939 -   1.3s
[CV] c1=0.5825814512661628, c2=0.04050782071453343 ...................
[CV]  c1=0.5825814512661628, c2=0.04050782071453343, score=0.753689 -   1.2s
[CV] c1=0.31741296467975944, c2=0.004889220249110515 .................
[CV]  c1=0.31741296467975944, c2=0.004889220249110515, score=0.799985 -   1.3s
[CV] c1=0.830009114107177, c2=0.0034222086990891814 ..................
[CV]  c1=0.830009114107177, c2=0.0034222086990891814, score=0.745507 -   1.3s
[CV] c1=0.3038191137983108, c2=0.09359833793469712 ...................
[CV]  c1=0.3038191137983108, c2=0.09359833793469712, score=0.784811 -   1.2s
[CV] c1=0.2903637085262638, c2=0.015308220257334693 ..................
[CV]  c1=0.2903637085262638, c2=0.015308220257334693, score=0.804519 -   1.2s
[CV] c1=0.7640368656230999, c2=0.10039001961660393 ...................
[CV]  c1=0.7640368656230999, c2=0.10039001961660393, score=0.679635 -   1.3s
[CV] c1=0.48250744912491206, c2=0.10913615450105958 ..................
[CV]  c1=0.48250744912491206, c2=0.10913615450105958, score=0.780526 -   1.3s
[CV] c1=0.354152199963702, c2=0.02015494000947058 ....................
[CV]  c1=0.354152199963702, c2=0.02015494000947058, score=0.808970 -   1.1s
[CV] c1=0.0334674840031809, c2=0.3290662774990729 ....................
[CV]  c1=0.0334674840031809, c2=0.3290662774990729, score=0.774598 -   1.2s
[CV] c1=0.4234954728016311, c2=0.052811018488557473 ..................
[CV]  c1=0.4234954728016311, c2=0.052811018488557473, score=0.857243 -   1.3s
[CV] c1=0.6222498915613125, c2=0.011296677490134077 ..................
[CV]  c1=0.6222498915613125, c2=0.011296677490134077, score=0.750292 -   1.2s
[CV] c1=0.4678978661574418, c2=0.018042823800478926 ..................
[CV]  c1=0.4678978661574418, c2=0.018042823800478926, score=0.803710 -   1.3s
[CV] c1=0.9270921393503371, c2=0.04793607124346225 ...................
[CV]  c1=0.9270921393503371, c2=0.04793607124346225, score=0.659078 -   1.4s
[CV] c1=0.5595740725523412, c2=0.020682588104193843 ..................
[CV]  c1=0.5595740725523412, c2=0.020682588104193843, score=0.721562 -   1.4s
[CV] c1=0.6737899422499969, c2=0.02080068140992164 ...................
[CV]  c1=0.6737899422499969, c2=0.02080068140992164, score=0.785587 -   1.3s
[CV] c1=0.01824921638786281, c2=0.014419365500497959 .................
[CV]  c1=0.01824921638786281, c2=0.014419365500497959, score=0.834752 -   1.3s
[CV] c1=0.2903637085262638, c2=0.015308220257334693 ..................
[CV]  c1=0.2903637085262638, c2=0.015308220257334693, score=0.895528 -   1.3s
[CV] c1=0.7640368656230999, c2=0.10039001961660393 ...................
[CV]  c1=0.7640368656230999, c2=0.10039001961660393, score=0.684728 -   1.3s
[CV] c1=0.6894862230439859, c2=0.0032053730083677853 .................
[CV]  c1=0.6894862230439859, c2=0.0032053730083677853, score=0.709932 -   1.4s
[CV] c1=0.47540559748736155, c2=0.07835410020505391 ..................
[CV]  c1=0.47540559748736155, c2=0.07835410020505391, score=0.728142 -   1.2s
[CV] c1=0.041486904881029095, c2=0.03130462922966571 .................
[CV]  c1=0.041486904881029095, c2=0.03130462922966571, score=0.693446 -   1.0s
[CV] c1=0.12589388523068204, c2=0.008113716246739197 .................
[CV]  c1=0.12589388523068204, c2=0.008113716246739197, score=0.720118 -   0.9s
[CV] c1=0.6222498915613125, c2=0.011296677490134077 ..................
[CV]  c1=0.6222498915613125, c2=0.011296677490134077, score=0.710693 -   1.0s
[CV] c1=0.7329171281945546, c2=0.1025142427381945 ....................
[CV]  c1=0.7329171281945546, c2=0.1025142427381945, score=0.679635 -   1.3s
[CV] c1=0.21368701855162034, c2=0.0015740541249593212 ................
[CV]  c1=0.21368701855162034, c2=0.0015740541249593212, score=0.817155 -   1.2s
[CV] c1=0.037304518517793865, c2=0.016734685220228546 ................
[CV]  c1=0.037304518517793865, c2=0.016734685220228546, score=0.831741 -   1.3s
[CV] c1=0.14085270040652179, c2=0.13997438751803878 ..................
[CV]  c1=0.14085270040652179, c2=0.13997438751803878, score=0.767149 -   1.3s
[CV] c1=0.7928054200165806, c2=0.1075521385235751 ....................
[CV]  c1=0.7928054200165806, c2=0.1075521385235751, score=0.635588 -   1.0s
[CV] c1=0.5204870426195805, c2=0.024335561870213657 ..................
[CV]  c1=0.5204870426195805, c2=0.024335561870213657, score=0.857639 -   1.4s
[CV] c1=0.07395022035693057, c2=0.02449366958028576 ..................
[CV]  c1=0.07395022035693057, c2=0.02449366958028576, score=0.784412 -   1.3s
[CV] c1=0.3048137789123368, c2=0.021378952184981093 ..................
[CV]  c1=0.3048137789123368, c2=0.021378952184981093, score=0.712045 -   1.0s
[CV] c1=0.6366055332913967, c2=0.001397118930965426 ..................
[CV]  c1=0.6366055332913967, c2=0.001397118930965426, score=0.822865 -   1.3s
[CV] c1=0.47540559748736155, c2=0.07835410020505391 ..................
[CV]  c1=0.47540559748736155, c2=0.07835410020505391, score=0.827742 -   1.1s
[CV] c1=0.18840894412063364, c2=0.02581581713139161 ..................
[CV]  c1=0.18840894412063364, c2=0.02581581713139161, score=0.883194 -   1.3s
[CV] c1=0.8877334338027107, c2=0.08338406708646236 ...................
[CV]  c1=0.8877334338027107, c2=0.08338406708646236, score=0.679100 -   1.3s
[CV] c1=0.15267910780370592, c2=0.030381787890255803 .................
[CV]  c1=0.15267910780370592, c2=0.030381787890255803, score=0.785358 -   1.4s
[CV] c1=0.6764072789743412, c2=0.019391502739669723 ..................
[CV]  c1=0.6764072789743412, c2=0.019391502739669723, score=0.761944 -   1.3s
[CV] c1=0.5825814512661628, c2=0.04050782071453343 ...................
[CV]  c1=0.5825814512661628, c2=0.04050782071453343, score=0.791731 -   1.3s
[CV] c1=0.40188359160300635, c2=0.013111537283100987 .................
[CV]  c1=0.40188359160300635, c2=0.013111537283100987, score=0.758723 -   1.3s
[CV] c1=0.22242529884527956, c2=0.001726570729737258 .................
[CV]  c1=0.22242529884527956, c2=0.001726570729737258, score=0.723526 -   1.1s
[CV] c1=0.3038191137983108, c2=0.09359833793469712 ...................
[CV]  c1=0.3038191137983108, c2=0.09359833793469712, score=0.857243 -   1.3s
[CV] c1=0.0528269287330099, c2=0.018060671087271336 ..................
[CV]  c1=0.0528269287330099, c2=0.018060671087271336, score=0.872715 -   1.3s
[CV] c1=0.03143458605028879, c2=0.059375162235667016 .................
[CV]  c1=0.03143458605028879, c2=0.059375162235667016, score=0.756352 -   1.1s
[CV] c1=0.48250744912491206, c2=0.10913615450105958 ..................
[CV]  c1=0.48250744912491206, c2=0.10913615450105958, score=0.760214 -   1.2s
[CV] c1=0.354152199963702, c2=0.02015494000947058 ....................
[CV]  c1=0.354152199963702, c2=0.02015494000947058, score=0.861183 -   1.2s
[CV] c1=0.26719701436732185, c2=0.039683979940857844 .................
[CV]  c1=0.26719701436732185, c2=0.039683979940857844, score=0.771618 -   1.2s
[CV] c1=0.4817906256172655, c2=0.03899952766471099 ...................
[CV]  c1=0.4817906256172655, c2=0.03899952766471099, score=0.785587 -   1.4s
[CV] c1=0.7329171281945546, c2=0.1025142427381945 ....................
[CV]  c1=0.7329171281945546, c2=0.1025142427381945, score=0.641397 -   1.0s
[CV] c1=0.49611040203266393, c2=0.06063952175102284 ..................
[CV]  c1=0.49611040203266393, c2=0.06063952175102284, score=0.706360 -   1.0s
[CV] c1=0.5825814512661628, c2=0.04050782071453343 ...................
[CV]  c1=0.5825814512661628, c2=0.04050782071453343, score=0.703625 -   1.0s
[CV] c1=0.5595740725523412, c2=0.020682588104193843 ..................
[CV]  c1=0.5595740725523412, c2=0.020682588104193843, score=0.710693 -   1.0s
[CV] c1=0.28298676543023854, c2=0.05944130459394801 ..................
[CV]  c1=0.28298676543023854, c2=0.05944130459394801, score=0.711081 -   1.0s
[CV] c1=0.7928054200165806, c2=0.1075521385235751 ....................
[CV]  c1=0.7928054200165806, c2=0.1075521385235751, score=0.814468 -   1.3s
[CV] c1=0.06059163305356962, c2=0.06002859773783808 ..................
[CV]  c1=0.06059163305356962, c2=0.06002859773783808, score=0.834061 -   1.3s
[CV] c1=0.21073791730865923, c2=0.00041167594776075683 ...............
[CV]  c1=0.21073791730865923, c2=0.00041167594776075683, score=0.807040 -   1.3s
[CV] c1=1.3723038114693806, c2=0.027500352824269284 ..................
[CV]  c1=1.3723038114693806, c2=0.027500352824269284, score=0.626664 -   1.3s
[CV] c1=0.12148822594770455, c2=0.0036574949122799255 ................
[CV]  c1=0.12148822594770455, c2=0.0036574949122799255, score=0.726873 -   1.0s
[CV] c1=0.7308179737847172, c2=0.2582403470429481 ....................
[CV]  c1=0.7308179737847172, c2=0.2582403470429481, score=0.794161 -   0.9s
[CV] c1=1.0398641768041168, c2=0.029008300837244812 ..................
[CV]  c1=1.0398641768041168, c2=0.029008300837244812, score=0.652697 -   1.2s
[CV] c1=0.19058867794581283, c2=0.04298452712087092 ..................
[CV]  c1=0.19058867794581283, c2=0.04298452712087092, score=0.779285 -   1.2s
[CV] c1=0.08235834425928296, c2=0.014937689436838934 .................
[CV]  c1=0.08235834425928296, c2=0.014937689436838934, score=0.883178 -   1.2s
[CV] c1=0.49611040203266393, c2=0.06063952175102284 ..................
[CV]  c1=0.49611040203266393, c2=0.06063952175102284, score=0.827742 -   1.3s
[CV] c1=0.14208185317777577, c2=0.18903230090349632 ..................
[CV]  c1=0.14208185317777577, c2=0.18903230090349632, score=0.712785 -   1.0s
[CV] c1=0.31741296467975944, c2=0.004889220249110515 .................
[CV]  c1=0.31741296467975944, c2=0.004889220249110515, score=0.725541 -   1.0s
[CV] c1=0.30620902522343396, c2=0.08475835013917343 ..................
[CV]  c1=0.30620902522343396, c2=0.08475835013917343, score=0.805946 -   1.3s
[CV] c1=0.9467762611690765, c2=0.043935398855781085 ..................
[CV]  c1=0.9467762611690765, c2=0.043935398855781085, score=0.671452 -   1.3s
[CV] c1=0.7025618745370235, c2=0.014854508387242216 ..................
[CV]  c1=0.7025618745370235, c2=0.014854508387242216, score=0.695635 -   1.0s
[CV] c1=0.33280416866605217, c2=0.03840093837102723 ..................
[CV]  c1=0.33280416866605217, c2=0.03840093837102723, score=0.796962 -   1.3s
[CV] c1=0.07603327536144228, c2=0.1452052795203397 ...................
[CV]  c1=0.07603327536144228, c2=0.1452052795203397, score=0.728164 -   1.0s
[CV] c1=1.8249188559537604, c2=0.06746073357183952 ...................
[CV]  c1=1.8249188559537604, c2=0.06746073357183952, score=0.511388 -   1.1s
[CV] c1=0.4841117521471548, c2=0.018948912996004843 ..................
[CV]  c1=0.4841117521471548, c2=0.018948912996004843, score=0.814155 -   1.0s
[CV] c1=0.01266926211763664, c2=0.0229831851990538 ...................
[CV]  c1=0.01266926211763664, c2=0.0229831851990538, score=0.825019 -   1.3s
[CV] c1=0.8162396634438217, c2=0.012314576856829886 ..................
[CV]  c1=0.8162396634438217, c2=0.012314576856829886, score=0.841295 -   1.2s
[CV] c1=0.7615252297316173, c2=0.2559146490206223 ....................
[CV]  c1=0.7615252297316173, c2=0.2559146490206223, score=0.639789 -   1.2s
[CV] c1=0.6764072789743412, c2=0.019391502739669723 ..................
[CV]  c1=0.6764072789743412, c2=0.019391502739669723, score=0.770179 -   1.4s
[CV] c1=0.2588287278761264, c2=0.05562748422220981 ...................
[CV]  c1=0.2588287278761264, c2=0.05562748422220981, score=0.814678 -   1.3s
[CV] c1=0.14814091846984684, c2=0.02905601459779374 ..................
[CV]  c1=0.14814091846984684, c2=0.02905601459779374, score=0.827702 -   1.3s
[CV] c1=0.22242529884527956, c2=0.001726570729737258 .................
[CV]  c1=0.22242529884527956, c2=0.001726570729737258, score=0.800803 -   1.3s
[CV] c1=0.5204870426195805, c2=0.024335561870213657 ..................
[CV]  c1=0.5204870426195805, c2=0.024335561870213657, score=0.721494 -   1.3s
[CV] c1=0.07395022035693057, c2=0.02449366958028576 ..................
[CV]  c1=0.07395022035693057, c2=0.02449366958028576, score=0.809576 -   1.2s
[CV] c1=0.08814862620520324, c2=0.029799045061197422 .................
[CV]  c1=0.08814862620520324, c2=0.029799045061197422, score=0.833201 -   1.3s
[CV] c1=0.6366055332913967, c2=0.001397118930965426 ..................
[CV]  c1=0.6366055332913967, c2=0.001397118930965426, score=0.760713 -   1.3s
[CV] c1=0.47540559748736155, c2=0.07835410020505391 ..................
[CV]  c1=0.47540559748736155, c2=0.07835410020505391, score=0.779666 -   1.1s
[CV] c1=0.00017349682901428325, c2=0.07978979191208807 ...............
[CV]  c1=0.00017349682901428325, c2=0.07978979191208807, score=0.834253 -   1.1s
[CV] c1=0.8877334338027107, c2=0.08338406708646236 ...................
[CV]  c1=0.8877334338027107, c2=0.08338406708646236, score=0.659078 -   1.2s
[CV] c1=0.15267910780370592, c2=0.030381787890255803 .................
[CV]  c1=0.15267910780370592, c2=0.030381787890255803, score=0.866989 -   1.3s
[CV] c1=0.33012012231575216, c2=0.04813933370374048 ..................
[CV]  c1=0.33012012231575216, c2=0.04813933370374048, score=0.781702 -   1.3s
[CV] c1=0.8660010340153819, c2=0.11027038745170055 ...................
[CV]  c1=0.8660010340153819, c2=0.11027038745170055, score=0.793677 -   1.3s
[CV] c1=0.7619660265528359, c2=0.0815990854627302 ....................
[CV]  c1=0.7619660265528359, c2=0.0815990854627302, score=0.654795 -   1.0s
[CV] c1=0.28298676543023854, c2=0.05944130459394801 ..................
[CV]  c1=0.28298676543023854, c2=0.05944130459394801, score=0.808970 -   1.3s
[CV] c1=0.16582034000878407, c2=0.03722855996009986 ..................
[CV]  c1=0.16582034000878407, c2=0.03722855996009986, score=0.779285 -   1.3s
[CV] c1=0.15162981911612544, c2=0.12520605910502144 ..................
[CV]  c1=0.15162981911612544, c2=0.12520605910502144, score=0.770325 -   1.3s
[CV] c1=1.7276113388587833, c2=0.0009721091705500321 .................
[CV]  c1=1.7276113388587833, c2=0.0009721091705500321, score=0.550112 -   1.0s
[CV] c1=1.0366970968760056, c2=0.02448076446843689 ...................
[CV]  c1=1.0366970968760056, c2=0.02448076446843689, score=0.851802 -   1.2s
[CV] c1=0.12148822594770455, c2=0.0036574949122799255 ................
[CV]  c1=0.12148822594770455, c2=0.0036574949122799255, score=0.880035 -   1.2s
[CV] c1=0.5670628147721314, c2=0.03984499943930506 ...................
[CV]  c1=0.5670628147721314, c2=0.03984499943930506, score=0.706360 -   0.7s
[CV] c1=0.00017349682901428325, c2=0.07978979191208807 ...............
[CV]  c1=0.00017349682901428325, c2=0.07978979191208807, score=0.740679 -   1.1s
[CV] c1=0.8877334338027107, c2=0.08338406708646236 ...................
[CV]  c1=0.8877334338027107, c2=0.08338406708646236, score=0.803710 -   1.2s
[CV] c1=0.11100106715209647, c2=0.06870472404640676 ..................
[CV]  c1=0.11100106715209647, c2=0.06870472404640676, score=0.798033 -   1.3s
[CV] c1=0.33012012231575216, c2=0.04813933370374048 ..................
[CV]  c1=0.33012012231575216, c2=0.04813933370374048, score=0.707695 -   1.0s
[CV] c1=0.9270921393503371, c2=0.04793607124346225 ...................
[CV]  c1=0.9270921393503371, c2=0.04793607124346225, score=0.827788 -   1.3s
[CV] c1=0.19603449332233544, c2=0.025237762982165346 .................
[CV]  c1=0.19603449332233544, c2=0.025237762982165346, score=0.809203 -   1.3s
[CV] c1=0.30620902522343396, c2=0.08475835013917343 ..................
[CV]  c1=0.30620902522343396, c2=0.08475835013917343, score=0.706748 -   1.1s
[CV] c1=0.16582034000878407, c2=0.03722855996009986 ..................
[CV]  c1=0.16582034000878407, c2=0.03722855996009986, score=0.872155 -   1.3s
[CV] c1=0.9189588206188103, c2=0.026283131358764575 ..................
[CV]  c1=0.9189588206188103, c2=0.026283131358764575, score=0.689021 -   1.3s
[CV] c1=0.33280416866605217, c2=0.03840093837102723 ..................
[CV]  c1=0.33280416866605217, c2=0.03840093837102723, score=0.884277 -   1.2s
[CV] c1=1.0366970968760056, c2=0.02448076446843689 ...................
[CV]  c1=1.0366970968760056, c2=0.02448076446843689, score=0.640653 -   1.0s
[CV] c1=0.4490156746645725, c2=0.0694671723173939 ....................
[CV]  c1=0.4490156746645725, c2=0.0694671723173939, score=0.766827 -   1.1s
[CV] c1=0.4841117521471548, c2=0.018948912996004843 ..................
[CV]  c1=0.4841117521471548, c2=0.018948912996004843, score=0.863794 -   1.1s
[CV] c1=0.26719701436732185, c2=0.039683979940857844 .................
[CV]  c1=0.26719701436732185, c2=0.039683979940857844, score=0.878554 -   1.2s
[CV] c1=0.4817906256172655, c2=0.03899952766471099 ...................
[CV]  c1=0.4817906256172655, c2=0.03899952766471099, score=0.707541 -   1.1s
[CV] c1=0.7615252297316173, c2=0.2559146490206223 ....................
[CV]  c1=0.7615252297316173, c2=0.2559146490206223, score=0.693987 -   1.2s
[CV] c1=0.8089650013158115, c2=0.003033108791950899 ..................
[CV]  c1=0.8089650013158115, c2=0.003033108791950899, score=0.830781 -   1.3s
[CV] c1=0.2588287278761264, c2=0.05562748422220981 ...................
[CV]  c1=0.2588287278761264, c2=0.05562748422220981, score=0.865091 -   1.2s
[CV] c1=0.40188359160300635, c2=0.013111537283100987 .................
[CV]  c1=0.40188359160300635, c2=0.013111537283100987, score=0.792801 -   1.3s
[CV] c1=0.830009114107177, c2=0.0034222086990891814 ..................
[CV]  c1=0.830009114107177, c2=0.0034222086990891814, score=0.722815 -   1.2s
[CV] c1=0.3038191137983108, c2=0.09359833793469712 ...................
[CV]  c1=0.3038191137983108, c2=0.09359833793469712, score=0.806143 -   1.3s
[CV] c1=0.0528269287330099, c2=0.018060671087271336 ..................
[CV]  c1=0.0528269287330099, c2=0.018060671087271336, score=0.828191 -   1.3s
[CV] c1=0.03143458605028879, c2=0.059375162235667016 .................
[CV]  c1=0.03143458605028879, c2=0.059375162235667016, score=0.816902 -   1.3s
[CV] c1=0.6366055332913967, c2=0.001397118930965426 ..................
[CV]  c1=0.6366055332913967, c2=0.001397118930965426, score=0.726863 -   1.3s
[CV] c1=0.47540559748736155, c2=0.07835410020505391 ..................
[CV]  c1=0.47540559748736155, c2=0.07835410020505391, score=0.760214 -   1.1s
[CV] c1=0.01266926211763664, c2=0.0229831851990538 ...................
[CV]  c1=0.01266926211763664, c2=0.0229831851990538, score=0.899987 -   1.2s
[CV] c1=1.1062040206990043, c2=0.008321265098177566 ..................
[CV]  c1=1.1062040206990043, c2=0.008321265098177566, score=0.832657 -   1.2s
[CV] c1=0.1513129923821222, c2=0.01923419410184113 ...................
[CV]  c1=0.1513129923821222, c2=0.01923419410184113, score=0.878583 -   1.3s
[CV] c1=0.1224894967350899, c2=0.0285098750384583 ....................
[CV]  c1=0.1224894967350899, c2=0.0285098750384583, score=0.817155 -   1.2s
[CV] c1=0.8660010340153819, c2=0.11027038745170055 ...................
[CV]  c1=0.8660010340153819, c2=0.11027038745170055, score=0.740176 -   1.2s
[CV] c1=0.7619660265528359, c2=0.0815990854627302 ....................
[CV]  c1=0.7619660265528359, c2=0.0815990854627302, score=0.687293 -   1.3s
[CV] c1=0.6827746303226107, c2=0.02023779198682862 ...................
[CV]  c1=0.6827746303226107, c2=0.02023779198682862, score=0.751917 -   1.3s
[CV] c1=0.01824921638786281, c2=0.014419365500497959 .................
[CV]  c1=0.01824921638786281, c2=0.014419365500497959, score=0.812958 -   1.3s
[CV] c1=0.2903637085262638, c2=0.015308220257334693 ..................
[CV]  c1=0.2903637085262638, c2=0.015308220257334693, score=0.712045 -   1.0s
[CV] c1=1.7276113388587833, c2=0.0009721091705500321 .................
[CV]  c1=1.7276113388587833, c2=0.0009721091705500321, score=0.543858 -   1.3s
[CV] c1=0.47450869005330804, c2=0.08140173158881378 ..................
[CV]  c1=0.47450869005330804, c2=0.08140173158881378, score=0.704040 -   1.0s
[CV] c1=1.0674098836573012, c2=0.010288823725011482 ..................
[CV]  c1=1.0674098836573012, c2=0.010288823725011482, score=0.644933 -   1.0s
[CV] c1=0.7308179737847172, c2=0.2582403470429481 ....................
[CV]  c1=0.7308179737847172, c2=0.2582403470429481, score=0.693987 -   0.9s
[CV] c1=0.18840894412063364, c2=0.02581581713139161 ..................
[CV]  c1=0.18840894412063364, c2=0.02581581713139161, score=0.711023 -   0.9s
[CV] c1=1.2509489705502612, c2=0.037179018884311264 ..................
[CV]  c1=1.2509489705502612, c2=0.037179018884311264, score=0.630746 -   1.3s
[CV] c1=1.224514983454904, c2=0.07138855299808204 ....................
[CV]  c1=1.224514983454904, c2=0.07138855299808204, score=0.731745 -   1.3s
[CV] c1=0.7329171281945546, c2=0.1025142427381945 ....................
[CV]  c1=0.7329171281945546, c2=0.1025142427381945, score=0.718869 -   1.2s
[CV] c1=0.21368701855162034, c2=0.0015740541249593212 ................
[CV]  c1=0.21368701855162034, c2=0.0015740541249593212, score=0.823722 -   1.3s
[CV] c1=0.6437061768252308, c2=0.07871254477324935 ...................
[CV]  c1=0.6437061768252308, c2=0.07871254477324935, score=0.694993 -   1.0s
[CV] c1=0.14085270040652179, c2=0.13997438751803878 ..................
[CV]  c1=0.14085270040652179, c2=0.13997438751803878, score=0.712333 -   1.1s
[CV] c1=0.22242529884527956, c2=0.001726570729737258 .................
[CV]  c1=0.22242529884527956, c2=0.001726570729737258, score=0.873765 -   1.3s
[CV] c1=0.13208139509691944, c2=0.06561921784515605 ..................
[CV]  c1=0.13208139509691944, c2=0.06561921784515605, score=0.805118 -   1.3s
[CV] c1=0.0528269287330099, c2=0.018060671087271336 ..................
[CV]  c1=0.0528269287330099, c2=0.018060671087271336, score=0.785358 -   1.3s
[CV] c1=0.08814862620520324, c2=0.029799045061197422 .................
[CV]  c1=0.08814862620520324, c2=0.029799045061197422, score=0.806408 -   1.3s
[CV] c1=0.6366055332913967, c2=0.001397118930965426 ..................
[CV]  c1=0.6366055332913967, c2=0.001397118930965426, score=0.798210 -   1.4s
[CV] c1=0.4841117521471548, c2=0.018948912996004843 ..................
[CV]  c1=0.4841117521471548, c2=0.018948912996004843, score=0.745205 -   1.0s
[CV] c1=0.00017349682901428325, c2=0.07978979191208807 ...............
[CV]  c1=0.00017349682901428325, c2=0.07978979191208807, score=0.835389 -   1.3s
[CV] c1=0.8162396634438217, c2=0.012314576856829886 ..................
[CV]  c1=0.8162396634438217, c2=0.012314576856829886, score=0.666206 -   1.0s
[CV] c1=0.15267910780370592, c2=0.030381787890255803 .................
[CV]  c1=0.15267910780370592, c2=0.030381787890255803, score=0.693048 -   1.0s
[CV] c1=0.4678978661574418, c2=0.018042823800478926 ..................
[CV]  c1=0.4678978661574418, c2=0.018042823800478926, score=0.777176 -   1.2s
[CV] c1=1.709152989648552, c2=0.035568815007143054 ...................
[CV]  c1=1.709152989648552, c2=0.035568815007143054, score=0.652221 -   1.2s
[CV] c1=0.6437061768252308, c2=0.07871254477324935 ...................
[CV]  c1=0.6437061768252308, c2=0.07871254477324935, score=0.730610 -   1.2s
[CV] c1=0.3954689315764318, c2=0.0445881845604689 ....................
[CV]  c1=0.3954689315764318, c2=0.0445881845604689, score=0.822030 -   1.4s
[CV] c1=0.16582034000878407, c2=0.03722855996009986 ..................
[CV]  c1=0.16582034000878407, c2=0.03722855996009986, score=0.687871 -   1.0s
[CV] c1=0.06059163305356962, c2=0.06002859773783808 ..................
[CV]  c1=0.06059163305356962, c2=0.06002859773783808, score=0.882871 -   1.3s
[CV] c1=0.21073791730865923, c2=0.00041167594776075683 ...............
[CV]  c1=0.21073791730865923, c2=0.00041167594776075683, score=0.894853 -   1.3s
[CV] c1=0.3048137789123368, c2=0.021378952184981093 ..................
[CV]  c1=0.3048137789123368, c2=0.021378952184981093, score=0.801567 -   1.3s
[CV] c1=0.4490156746645725, c2=0.0694671723173939 ....................
[CV]  c1=0.4490156746645725, c2=0.0694671723173939, score=0.783967 -   1.3s
[CV] c1=0.7308179737847172, c2=0.2582403470429481 ....................
[CV]  c1=0.7308179737847172, c2=0.2582403470429481, score=0.643906 -   1.0s
[CV] c1=0.01266926211763664, c2=0.0229831851990538 ...................
[CV]  c1=0.01266926211763664, c2=0.0229831851990538, score=0.694521 -   1.0s
[CV] c1=0.8877334338027107, c2=0.08338406708646236 ...................
[CV]  c1=0.8877334338027107, c2=0.08338406708646236, score=0.622728 -   1.0s
[CV] c1=1.224514983454904, c2=0.07138855299808204 ....................
[CV]  c1=1.224514983454904, c2=0.07138855299808204, score=0.559704 -   1.3s
[CV] c1=0.4678978661574418, c2=0.018042823800478926 ..................
[CV]  c1=0.4678978661574418, c2=0.018042823800478926, score=0.866814 -   1.2s
[CV] c1=1.709152989648552, c2=0.035568815007143054 ...................
[CV]  c1=1.709152989648552, c2=0.035568815007143054, score=0.752046 -   1.2s
[CV] c1=0.6437061768252308, c2=0.07871254477324935 ...................
[CV]  c1=0.6437061768252308, c2=0.07871254477324935, score=0.832920 -   1.3s
[CV] c1=0.3954689315764318, c2=0.0445881845604689 ....................
[CV]  c1=0.3954689315764318, c2=0.0445881845604689, score=0.876560 -   1.3s
[CV] c1=0.7928054200165806, c2=0.1075521385235751 ....................
[CV]  c1=0.7928054200165806, c2=0.1075521385235751, score=0.659078 -   1.3s
[CV] c1=0.06059163305356962, c2=0.06002859773783808 ..................
[CV]  c1=0.06059163305356962, c2=0.06002859773783808, score=0.823957 -   1.3s
[CV] c1=0.18496617566233853, c2=0.07544129901141039 ..................
[CV]  c1=0.18496617566233853, c2=0.07544129901141039, score=0.687871 -   1.0s
[CV] c1=0.3048137789123368, c2=0.021378952184981093 ..................
[CV]  c1=0.3048137789123368, c2=0.021378952184981093, score=0.871701 -   1.3s
[CV] c1=0.4490156746645725, c2=0.0694671723173939 ....................
[CV]  c1=0.4490156746645725, c2=0.0694671723173939, score=0.730941 -   1.3s
[CV] c1=0.4841117521471548, c2=0.018948912996004843 ..................
[CV]  c1=0.4841117521471548, c2=0.018948912996004843, score=0.787593 -   1.1s
[CV] c1=0.26719701436732185, c2=0.039683979940857844 .................
[CV]  c1=0.26719701436732185, c2=0.039683979940857844, score=0.724207 -   1.0s
[CV] c1=1.1062040206990043, c2=0.008321265098177566 ..................
[CV]  c1=1.1062040206990043, c2=0.008321265098177566, score=0.621814 -   1.3s
[CV] c1=0.7615252297316173, c2=0.2559146490206223 ....................
[CV]  c1=0.7615252297316173, c2=0.2559146490206223, score=0.569701 -   1.0s
[CV] c1=0.33012012231575216, c2=0.04813933370374048 ..................
[CV]  c1=0.33012012231575216, c2=0.04813933370374048, score=0.862771 -   1.3s
[CV] c1=0.28551639104003335, c2=0.06253148763543187 ..................
[CV]  c1=0.28551639104003335, c2=0.06253148763543187, score=0.719680 -   1.0s
[CV] c1=0.19603449332233544, c2=0.025237762982165346 .................
[CV]  c1=0.19603449332233544, c2=0.025237762982165346, score=0.872155 -   1.2s
[CV] c1=0.28298676543023854, c2=0.05944130459394801 ..................
[CV]  c1=0.28298676543023854, c2=0.05944130459394801, score=0.875508 -   1.3s
[CV] c1=0.16582034000878407, c2=0.03722855996009986 ..................
[CV]  c1=0.16582034000878407, c2=0.03722855996009986, score=0.805250 -   1.2s
[CV] c1=0.9189588206188103, c2=0.026283131358764575 ..................
[CV]  c1=0.9189588206188103, c2=0.026283131358764575, score=0.740176 -   1.2s
[CV] c1=0.18496617566233853, c2=0.07544129901141039 ..................
[CV]  c1=0.18496617566233853, c2=0.07544129901141039, score=0.792808 -   1.2s
[CV] c1=1.3723038114693806, c2=0.027500352824269284 ..................
[CV]  c1=1.3723038114693806, c2=0.027500352824269284, score=0.729817 -   1.2s
[CV] c1=1.8249188559537604, c2=0.06746073357183952 ...................
[CV]  c1=1.8249188559537604, c2=0.06746073357183952, score=0.531270 -   1.3s
[CV] c1=0.5670628147721314, c2=0.03984499943930506 ...................
[CV]  c1=0.5670628147721314, c2=0.03984499943930506, score=0.766827 -   0.9s
[CV] c1=1.0398641768041168, c2=0.029008300837244812 ..................
[CV]  c1=1.0398641768041168, c2=0.029008300837244812, score=0.644933 -   1.0s
[CV] c1=1.1062040206990043, c2=0.008321265098177566 ..................
[CV]  c1=1.1062040206990043, c2=0.008321265098177566, score=0.652697 -   1.2s
[CV] c1=0.1513129923821222, c2=0.01923419410184113 ...................
[CV]  c1=0.1513129923821222, c2=0.01923419410184113, score=0.833212 -   1.2s
[CV] c1=0.1224894967350899, c2=0.0285098750384583 ....................
[CV]  c1=0.1224894967350899, c2=0.0285098750384583, score=0.816317 -   1.3s
[CV] c1=0.8660010340153819, c2=0.11027038745170055 ...................
[CV]  c1=0.8660010340153819, c2=0.11027038745170055, score=0.659078 -   1.3s
[CV] c1=0.31741296467975944, c2=0.004889220249110515 .................
[CV]  c1=0.31741296467975944, c2=0.004889220249110515, score=0.793820 -   1.3s
[CV] c1=0.6827746303226107, c2=0.02023779198682862 ...................
[CV]  c1=0.6827746303226107, c2=0.02023779198682862, score=0.722815 -   1.3s
[CV] c1=0.3038191137983108, c2=0.09359833793469712 ...................
[CV]  c1=0.3038191137983108, c2=0.09359833793469712, score=0.706748 -   1.0s
[CV] c1=0.3978352444756519, c2=0.002072727541087433 ..................
[CV]  c1=0.3978352444756519, c2=0.002072727541087433, score=0.784101 -   1.3s
[CV] c1=1.7276113388587833, c2=0.0009721091705500321 .................
[CV]  c1=1.7276113388587833, c2=0.0009721091705500321, score=0.659908 -   1.2s
[CV] c1=0.07603327536144228, c2=0.1452052795203397 ...................
[CV]  c1=0.07603327536144228, c2=0.1452052795203397, score=0.770325 -   1.3s
[CV] c1=0.23856708336709848, c2=0.03702898225966359 ..................
[CV]  c1=0.23856708336709848, c2=0.03702898225966359, score=0.725541 -   1.0s
[CV] c1=0.5670628147721314, c2=0.03984499943930506 ...................
[CV]  c1=0.5670628147721314, c2=0.03984499943930506, score=0.712042 -   0.9s
[CV] c1=0.01266926211763664, c2=0.0229831851990538 ...................
[CV]  c1=0.01266926211763664, c2=0.0229831851990538, score=0.812855 -   1.3s
[CV] c1=0.19058867794581283, c2=0.04298452712087092 ..................
[CV]  c1=0.19058867794581283, c2=0.04298452712087092, score=0.872155 -   1.3s
[CV] c1=0.8278528054254713, c2=0.006089432882426809 ..................
[CV]  c1=0.8278528054254713, c2=0.006089432882426809, score=0.719146 -   1.2s
[CV] c1=0.8089650013158115, c2=0.003033108791950899 ..................
[CV]  c1=0.8089650013158115, c2=0.003033108791950899, score=0.690009 -   1.0s
[CV] c1=0.8660010340153819, c2=0.11027038745170055 ...................
[CV]  c1=0.8660010340153819, c2=0.11027038745170055, score=0.627318 -   1.0s
[CV] c1=0.19603449332233544, c2=0.025237762982165346 .................
[CV]  c1=0.19603449332233544, c2=0.025237762982165346, score=0.803183 -   1.2s
[CV] c1=0.28298676543023854, c2=0.05944130459394801 ..................
[CV]  c1=0.28298676543023854, c2=0.05944130459394801, score=0.793074 -   1.3s
[CV] c1=0.05247004377226752, c2=0.11690177458614262 ..................
[CV]  c1=0.05247004377226752, c2=0.11690177458614262, score=0.729460 -   1.1s
[CV] c1=0.9189588206188103, c2=0.026283131358764575 ..................
[CV]  c1=0.9189588206188103, c2=0.026283131358764575, score=0.822922 -   1.2s
[CV] c1=0.18496617566233853, c2=0.07544129901141039 ..................
[CV]  c1=0.18496617566233853, c2=0.07544129901141039, score=0.803183 -   1.2s
[CV] c1=1.3723038114693806, c2=0.027500352824269284 ..................
[CV]  c1=1.3723038114693806, c2=0.027500352824269284, score=0.555403 -   1.3s
[CV] c1=0.12148822594770455, c2=0.0036574949122799255 ................
[CV]  c1=0.12148822594770455, c2=0.0036574949122799255, score=0.826562 -   1.3s
[CV] c1=0.5670628147721314, c2=0.03984499943930506 ...................
[CV]  c1=0.5670628147721314, c2=0.03984499943930506, score=0.793396 -   0.9s
[CV] c1=0.0334674840031809, c2=0.3290662774990729 ....................
[CV]  c1=0.0334674840031809, c2=0.3290662774990729, score=0.747053 -   1.3s
[CV] c1=0.4234954728016311, c2=0.052811018488557473 ..................
[CV]  c1=0.4234954728016311, c2=0.052811018488557473, score=0.796656 -   1.2s
[CV] c1=0.11100106715209647, c2=0.06870472404640676 ..................
[CV]  c1=0.11100106715209647, c2=0.06870472404640676, score=0.691797 -   1.1s
[CV] c1=0.4678978661574418, c2=0.018042823800478926 ..................
[CV]  c1=0.4678978661574418, c2=0.018042823800478926, score=0.763192 -   1.3s
[CV] c1=1.709152989648552, c2=0.035568815007143054 ...................
[CV]  c1=1.709152989648552, c2=0.035568815007143054, score=0.543858 -   1.4s
[CV] c1=0.19603449332233544, c2=0.025237762982165346 .................
[CV]  c1=0.19603449332233544, c2=0.025237762982165346, score=0.712949 -   1.0s
[CV] c1=0.3954689315764318, c2=0.0445881845604689 ....................
[CV]  c1=0.3954689315764318, c2=0.0445881845604689, score=0.752301 -   1.3s
[CV] c1=0.7928054200165806, c2=0.1075521385235751 ....................
[CV]  c1=0.7928054200165806, c2=0.1075521385235751, score=0.672635 -   1.3s
[CV] c1=0.9189588206188103, c2=0.026283131358764575 ..................
[CV]  c1=0.9189588206188103, c2=0.026283131358764575, score=0.658230 -   1.1s
[CV] c1=0.21073791730865923, c2=0.00041167594776075683 ...............
[CV]  c1=0.21073791730865923, c2=0.00041167594776075683, score=0.817155 -   1.3s
[CV] c1=1.3723038114693806, c2=0.027500352824269284 ..................
[CV]  c1=1.3723038114693806, c2=0.027500352824269284, score=0.774716 -   1.3s
[CV] c1=1.8249188559537604, c2=0.06746073357183952 ...................
[CV]  c1=1.8249188559537604, c2=0.06746073357183952, score=0.594335 -   1.3s
[CV] c1=0.5670628147721314, c2=0.03984499943930506 ...................
[CV]  c1=0.5670628147721314, c2=0.03984499943930506, score=0.832345 -   1.0s
Training done in: 17.503462s
     Saving training model...
        Saving training model done in: 0.013782s
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Prediction done in: 0.028975s