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

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Run10_v10.txt 70.9 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: Run11
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: FalseS4: True
Run variant: 10
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003677s
-------------------------------- 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
13     -1:ner      _
14     +1:ner    MED
15     -2:ner      _
16     +2:ner    MED
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
13     -1:ner           _
14     +1:ner           _
15     -2:ner           _
16     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=1.2523158494800481, c2=0.04250140142200323 ...................
[CV]  c1=1.2523158494800481, c2=0.04250140142200323, score=0.626926 -   1.5s
[CV] c1=0.042617870096191654, c2=0.05664950753130907 .................
[CV]  c1=0.042617870096191654, c2=0.05664950753130907, score=0.867810 -   1.5s
[CV] c1=0.4894882363272065, c2=0.043858462122021956 ..................
[CV]  c1=0.4894882363272065, c2=0.043858462122021956, score=0.676656 -   1.3s
[CV] c1=0.15620030990123313, c2=0.03903321817700139 ..................
[CV]  c1=0.15620030990123313, c2=0.03903321817700139, score=0.782581 -   1.5s
[CV] c1=0.3853642873457063, c2=0.006553983908683701 ..................
[CV]  c1=0.3853642873457063, c2=0.006553983908683701, score=0.685395 -   1.3s
[CV] c1=0.30378052853301285, c2=0.0032596553978256624 ................
[CV]  c1=0.30378052853301285, c2=0.0032596553978256624, score=0.780638 -   1.6s
[CV] c1=0.6663722603789696, c2=0.010978012566862962 ..................
[CV]  c1=0.6663722603789696, c2=0.010978012566862962, score=0.713651 -   1.5s
[CV] c1=0.15901671200752643, c2=0.08567877491299358 ..................
[CV]  c1=0.15901671200752643, c2=0.08567877491299358, score=0.883125 -   1.5s
[CV] c1=0.8241935715158306, c2=0.0683023163201573 ....................
[CV]  c1=0.8241935715158306, c2=0.0683023163201573, score=0.619581 -   1.2s
[CV] c1=1.0926560020181106, c2=0.023899254984075108 ..................
[CV]  c1=1.0926560020181106, c2=0.023899254984075108, score=0.594693 -   1.6s
[CV] c1=0.6596046344599059, c2=0.021611155686538867 ..................
[CV]  c1=0.6596046344599059, c2=0.021611155686538867, score=0.766506 -   1.6s
[CV] c1=0.8733957694832588, c2=0.04072706731786214 ...................
[CV]  c1=0.8733957694832588, c2=0.04072706731786214, score=0.847913 -   1.5s
[CV] c1=0.4786490054304202, c2=0.04997525133978265 ...................
[CV]  c1=0.4786490054304202, c2=0.04997525133978265, score=0.800892 -   1.5s
[CV] c1=0.9746357682461961, c2=0.03945208420639168 ...................
[CV]  c1=0.9746357682461961, c2=0.03945208420639168, score=0.793494 -   1.5s
[CV] c1=0.3947910391655151, c2=0.05267130232718953 ...................
[CV]  c1=0.3947910391655151, c2=0.05267130232718953, score=0.823018 -   1.6s
[CV] c1=0.30206555254217254, c2=0.005401817352659627 .................
[CV]  c1=0.30206555254217254, c2=0.005401817352659627, score=0.839090 -   1.4s
[CV] c1=0.3853642873457063, c2=0.006553983908683701 ..................
[CV]  c1=0.3853642873457063, c2=0.006553983908683701, score=0.823049 -   1.5s
[CV] c1=0.4883077719466978, c2=0.02090068732374874 ...................
[CV]  c1=0.4883077719466978, c2=0.02090068732374874, score=0.828553 -   1.5s
[CV] c1=0.2900263924295373, c2=0.008032430628395766 ..................
[CV]  c1=0.2900263924295373, c2=0.008032430628395766, score=0.839090 -   1.5s
[CV] c1=0.15901671200752643, c2=0.08567877491299358 ..................
[CV]  c1=0.15901671200752643, c2=0.08567877491299358, score=0.846433 -   1.5s
[CV] c1=0.8241935715158306, c2=0.0683023163201573 ....................
[CV]  c1=0.8241935715158306, c2=0.0683023163201573, score=0.793494 -   1.6s
[CV] c1=0.27762345108166386, c2=0.035414184693736736 .................
[CV]  c1=0.27762345108166386, c2=0.035414184693736736, score=0.820334 -   1.6s
[CV] c1=0.09516256609923207, c2=0.038083328825728985 .................
[CV]  c1=0.09516256609923207, c2=0.038083328825728985, score=0.700357 -   1.2s
[CV] c1=0.1780982265439882, c2=0.0049168163576965565 .................
[CV]  c1=0.1780982265439882, c2=0.0049168163576965565, score=0.811645 -   1.6s
[CV] c1=0.07002019201482157, c2=0.04084697416262914 ..................
[CV]  c1=0.07002019201482157, c2=0.04084697416262914, score=0.683175 -   1.1s
[CV] c1=0.4357986039650929, c2=0.019507053023529654 ..................
[CV]  c1=0.4357986039650929, c2=0.019507053023529654, score=0.809632 -   1.5s
[CV] c1=0.06396519641514808, c2=0.12218784537810826 ..................
[CV]  c1=0.06396519641514808, c2=0.12218784537810826, score=0.666893 -   1.2s
[CV] c1=0.7218709087298331, c2=0.056488103314003196 ..................
[CV]  c1=0.7218709087298331, c2=0.056488103314003196, score=0.777134 -   1.5s
[CV] c1=0.5457536854008066, c2=0.055564168492608035 ..................
[CV]  c1=0.5457536854008066, c2=0.055564168492608035, score=0.766506 -   1.6s
[CV] c1=0.4722680398127066, c2=0.14327988439101313 ...................
[CV]  c1=0.4722680398127066, c2=0.14327988439101313, score=0.808788 -   1.7s
[CV] c1=0.2448120948912434, c2=0.12573137501429865 ...................
[CV]  c1=0.2448120948912434, c2=0.12573137501429865, score=0.836198 -   1.5s
[CV] c1=0.3591185608789903, c2=0.027546668446867498 ..................
[CV]  c1=0.3591185608789903, c2=0.027546668446867498, score=0.811583 -   1.7s
[CV] c1=1.8574602546707168, c2=0.08719142733983697 ...................
[CV]  c1=1.8574602546707168, c2=0.08719142733983697, score=0.546597 -   1.6s
[CV] c1=0.27762345108166386, c2=0.035414184693736736 .................
[CV]  c1=0.27762345108166386, c2=0.035414184693736736, score=0.843668 -   1.6s
[CV] c1=0.09516256609923207, c2=0.038083328825728985 .................
[CV]  c1=0.09516256609923207, c2=0.038083328825728985, score=0.874476 -   1.5s
[CV] c1=0.43714260749669487, c2=0.051647235943209274 .................
[CV]  c1=0.43714260749669487, c2=0.051647235943209274, score=0.667411 -   1.3s
[CV] c1=0.1897106368535274, c2=0.028123509627636385 ..................
[CV]  c1=0.1897106368535274, c2=0.028123509627636385, score=0.811645 -   1.3s
[CV] c1=0.4357986039650929, c2=0.019507053023529654 ..................
[CV]  c1=0.4357986039650929, c2=0.019507053023529654, score=0.763716 -   1.6s
[CV] c1=0.04695664912560421, c2=0.08586263734760195 ..................
[CV]  c1=0.04695664912560421, c2=0.08586263734760195, score=0.781366 -   1.6s
[CV] c1=0.05449426998593601, c2=0.09109043441871098 ..................
[CV]  c1=0.05449426998593601, c2=0.09109043441871098, score=0.781366 -   1.7s
[CV] c1=1.4874439222971259, c2=0.01978410757347599 ...................
[CV]  c1=1.4874439222971259, c2=0.01978410757347599, score=0.631553 -   1.7s
[CV] c1=0.4883077719466978, c2=0.02090068732374874 ...................
[CV]  c1=0.4883077719466978, c2=0.02090068732374874, score=0.742253 -   1.5s
[CV] c1=0.2900263924295373, c2=0.008032430628395766 ..................
[CV]  c1=0.2900263924295373, c2=0.008032430628395766, score=0.811583 -   1.6s
[CV] c1=0.8215376350798923, c2=0.14641423983037533 ...................
[CV]  c1=0.8215376350798923, c2=0.14641423983037533, score=0.664829 -   1.7s
[CV] c1=1.4344558831427277, c2=0.05882694363203387 ...................
[CV]  c1=1.4344558831427277, c2=0.05882694363203387, score=0.799842 -   1.5s
[CV] c1=0.3529225509777797, c2=0.04163342787178293 ...................
[CV]  c1=0.3529225509777797, c2=0.04163342787178293, score=0.881211 -   1.5s
[CV] c1=0.39777796667919163, c2=0.04258355652829497 ..................
[CV]  c1=0.39777796667919163, c2=0.04258355652829497, score=0.668161 -   1.3s
[CV] c1=0.43714260749669487, c2=0.051647235943209274 .................
[CV]  c1=0.43714260749669487, c2=0.051647235943209274, score=0.875096 -   1.5s
[CV] c1=0.1488676425766575, c2=0.006107575628887397 ..................
[CV]  c1=0.1488676425766575, c2=0.006107575628887397, score=0.875732 -   1.5s
[CV] c1=2.337119008428356, c2=0.18232646344144052 ....................
[CV]  c1=2.337119008428356, c2=0.18232646344144052, score=0.742964 -   1.5s
[CV] c1=0.3461605416507371, c2=0.007918503717648559 ..................
[CV]  c1=0.3461605416507371, c2=0.007918503717648559, score=0.771651 -   1.5s
[CV] c1=0.9850784039069544, c2=0.013811075301783278 ..................
[CV]  c1=0.9850784039069544, c2=0.013811075301783278, score=0.787081 -   1.6s
[CV] c1=0.03986369111030151, c2=0.003822962638501938 .................
[CV]  c1=0.03986369111030151, c2=0.003822962638501938, score=0.694606 -   1.3s
[CV] c1=0.5687871674680189, c2=0.09219860021121916 ...................
[CV]  c1=0.5687871674680189, c2=0.09219860021121916, score=0.766506 -   1.6s
[CV] c1=0.6548452700930176, c2=0.022826350597830974 ..................
[CV]  c1=0.6548452700930176, c2=0.022826350597830974, score=0.859697 -   1.5s
[CV] c1=0.21653769718321067, c2=0.2530453917625133 ...................
[CV]  c1=0.21653769718321067, c2=0.2530453917625133, score=0.668161 -   1.2s
[CV] c1=0.7176276866619925, c2=0.02674514317266269 ...................
[CV]  c1=0.7176276866619925, c2=0.02674514317266269, score=0.702075 -   1.5s
[CV] c1=0.3529225509777797, c2=0.04163342787178293 ...................
[CV]  c1=0.3529225509777797, c2=0.04163342787178293, score=0.668161 -   1.2s
[CV] c1=0.4975814432178775, c2=0.09504239741064707 ...................
[CV]  c1=0.4975814432178775, c2=0.09504239741064707, score=0.788138 -   1.6s
[CV] c1=0.43714260749669487, c2=0.051647235943209274 .................
[CV]  c1=0.43714260749669487, c2=0.051647235943209274, score=0.825269 -   1.4s
[CV] c1=0.4786490054304202, c2=0.04997525133978265 ...................
[CV]  c1=0.4786490054304202, c2=0.04997525133978265, score=0.748894 -   1.4s
[CV] c1=0.12984691998146577, c2=0.0737292182911522 ...................
[CV]  c1=0.12984691998146577, c2=0.0737292182911522, score=0.777635 -   1.5s
[CV] c1=0.06396519641514808, c2=0.12218784537810826 ..................
[CV]  c1=0.06396519641514808, c2=0.12218784537810826, score=0.787542 -   1.5s
[CV] c1=0.15620030990123313, c2=0.03903321817700139 ..................
[CV]  c1=0.15620030990123313, c2=0.03903321817700139, score=0.878742 -   1.5s
[CV] c1=1.4874439222971259, c2=0.01978410757347599 ...................
[CV]  c1=1.4874439222971259, c2=0.01978410757347599, score=0.544958 -   1.2s
[CV] c1=1.581302198562341, c2=0.07225525486542318 ....................
[CV]  c1=1.581302198562341, c2=0.07225525486542318, score=0.774355 -   1.6s
[CV] c1=0.2448120948912434, c2=0.12573137501429865 ...................
[CV]  c1=0.2448120948912434, c2=0.12573137501429865, score=0.752767 -   1.6s
[CV] c1=1.1816436283110996, c2=0.017020913502225052 ..................
[CV]  c1=1.1816436283110996, c2=0.017020913502225052, score=0.827220 -   1.5s
[CV] c1=1.8574602546707168, c2=0.08719142733983697 ...................
[CV]  c1=1.8574602546707168, c2=0.08719142733983697, score=0.580017 -   1.6s
[CV] c1=0.27762345108166386, c2=0.035414184693736736 .................
[CV]  c1=0.27762345108166386, c2=0.035414184693736736, score=0.795670 -   1.5s
[CV] c1=0.4975814432178775, c2=0.09504239741064707 ...................
[CV]  c1=0.4975814432178775, c2=0.09504239741064707, score=0.822091 -   1.5s
[CV] c1=0.8733957694832588, c2=0.04072706731786214 ...................
[CV]  c1=0.8733957694832588, c2=0.04072706731786214, score=0.632509 -   1.5s
[CV] c1=0.6317950975886659, c2=0.02718740305518636 ...................
[CV]  c1=0.6317950975886659, c2=0.02718740305518636, score=0.761193 -   1.3s
[CV] c1=0.12984691998146577, c2=0.0737292182911522 ...................
[CV]  c1=0.12984691998146577, c2=0.0737292182911522, score=0.883125 -   1.5s
[CV] c1=0.06396519641514808, c2=0.12218784537810826 ..................
[CV]  c1=0.06396519641514808, c2=0.12218784537810826, score=0.881956 -   1.5s
[CV] c1=0.05449426998593601, c2=0.09109043441871098 ..................
[CV]  c1=0.05449426998593601, c2=0.09109043441871098, score=0.873621 -   1.5s
[CV] c1=0.03527181047946029, c2=0.016165253775878168 .................
[CV]  c1=0.03527181047946029, c2=0.016165253775878168, score=0.804788 -   1.6s
[CV] c1=0.30378052853301285, c2=0.0032596553978256624 ................
[CV]  c1=0.30378052853301285, c2=0.0032596553978256624, score=0.889407 -   1.7s
[CV] c1=0.2900263924295373, c2=0.008032430628395766 ..................
[CV]  c1=0.2900263924295373, c2=0.008032430628395766, score=0.774866 -   1.6s
[CV] c1=0.8215376350798923, c2=0.14641423983037533 ...................
[CV]  c1=0.8215376350798923, c2=0.14641423983037533, score=0.600064 -   1.2s
[CV] c1=1.8574602546707168, c2=0.08719142733983697 ...................
[CV]  c1=1.8574602546707168, c2=0.08719142733983697, score=0.712710 -   1.5s
[CV] c1=0.3341722141473799, c2=0.012154994915181764 ..................
[CV]  c1=0.3341722141473799, c2=0.012154994915181764, score=0.800493 -   1.5s
[CV] c1=0.0774602963736868, c2=0.034265196751726394 ..................
[CV]  c1=0.0774602963736868, c2=0.034265196751726394, score=0.785099 -   1.6s
[CV] c1=0.8733957694832588, c2=0.04072706731786214 ...................
[CV]  c1=0.8733957694832588, c2=0.04072706731786214, score=0.680342 -   1.6s
[CV] c1=0.1897106368535274, c2=0.028123509627636385 ..................
[CV]  c1=0.1897106368535274, c2=0.028123509627636385, score=0.682896 -   0.9s
[CV] c1=0.35491424461483434, c2=0.02409749789753768 ..................
[CV]  c1=0.35491424461483434, c2=0.02409749789753768, score=0.897601 -   1.6s
[CV] c1=0.4287693916578526, c2=0.015947498861769178 ..................
[CV]  c1=0.4287693916578526, c2=0.015947498861769178, score=0.879774 -   1.6s
[CV] c1=0.7218709087298331, c2=0.056488103314003196 ..................
[CV]  c1=0.7218709087298331, c2=0.056488103314003196, score=0.698935 -   1.7s
[CV] c1=0.18447654708019526, c2=0.08876806194113329 ..................
[CV]  c1=0.18447654708019526, c2=0.08876806194113329, score=0.656046 -   1.4s
[CV] c1=0.03986369111030151, c2=0.003822962638501938 .................
[CV]  c1=0.03986369111030151, c2=0.003822962638501938, score=0.792446 -   1.6s
[CV] c1=1.2116272073706724, c2=0.005632434722115082 ..................
[CV]  c1=1.2116272073706724, c2=0.005632434722115082, score=0.581955 -   1.5s
[CV] c1=0.3553506707363763, c2=0.009806674586683224 ..................
[CV]  c1=0.3553506707363763, c2=0.009806674586683224, score=0.842179 -   1.5s
[CV] c1=0.5753291651416234, c2=0.009138111983154906 ..................
[CV]  c1=0.5753291651416234, c2=0.009138111983154906, score=0.814704 -   1.6s
[CV] c1=0.06500512236150216, c2=0.12239145937658119 ..................
[CV]  c1=0.06500512236150216, c2=0.12239145937658119, score=0.787542 -   1.6s
[CV] c1=1.2067057804251298, c2=0.1443847560592625 ....................
[CV]  c1=1.2067057804251298, c2=0.1443847560592625, score=0.549156 -   1.2s
[CV] c1=0.015506263778080433, c2=0.013427237581722117 ................
[CV]  c1=0.015506263778080433, c2=0.013427237581722117, score=0.682397 -   1.2s
[CV] c1=0.171103528960831, c2=0.005923095187525127 ...................
[CV]  c1=0.171103528960831, c2=0.005923095187525127, score=0.678955 -   1.2s
[CV] c1=0.07002019201482157, c2=0.04084697416262914 ..................
[CV]  c1=0.07002019201482157, c2=0.04084697416262914, score=0.852828 -   1.4s
[CV] c1=0.9746357682461961, c2=0.03945208420639168 ...................
[CV]  c1=0.9746357682461961, c2=0.03945208420639168, score=0.843593 -   1.5s
[CV] c1=0.3947910391655151, c2=0.05267130232718953 ...................
[CV]  c1=0.3947910391655151, c2=0.05267130232718953, score=0.832107 -   1.4s
[CV] c1=0.15620030990123313, c2=0.03903321817700139 ..................
[CV]  c1=0.15620030990123313, c2=0.03903321817700139, score=0.846433 -   1.5s
[CV] c1=1.4874439222971259, c2=0.01978410757347599 ...................
[CV]  c1=1.4874439222971259, c2=0.01978410757347599, score=0.740492 -   1.4s
[CV] c1=0.30378052853301285, c2=0.0032596553978256624 ................
[CV]  c1=0.30378052853301285, c2=0.0032596553978256624, score=0.837316 -   1.4s
[CV] c1=0.2448120948912434, c2=0.12573137501429865 ...................
[CV]  c1=0.2448120948912434, c2=0.12573137501429865, score=0.787441 -   1.6s
[CV] c1=1.1816436283110996, c2=0.017020913502225052 ..................
[CV]  c1=1.1816436283110996, c2=0.017020913502225052, score=0.648141 -   1.6s
[CV] c1=0.8241935715158306, c2=0.0683023163201573 ....................
[CV]  c1=0.8241935715158306, c2=0.0683023163201573, score=0.834236 -   1.5s
[CV] c1=0.27762345108166386, c2=0.035414184693736736 .................
[CV]  c1=0.27762345108166386, c2=0.035414184693736736, score=0.889407 -   1.5s
[CV] c1=0.4975814432178775, c2=0.09504239741064707 ...................
[CV]  c1=0.4975814432178775, c2=0.09504239741064707, score=0.733599 -   1.5s
[CV] c1=0.8733957694832588, c2=0.04072706731786214 ...................
[CV]  c1=0.8733957694832588, c2=0.04072706731786214, score=0.793494 -   1.5s
[CV] c1=0.1488676425766575, c2=0.006107575628887397 ..................
[CV]  c1=0.1488676425766575, c2=0.006107575628887397, score=0.708675 -   1.2s
[CV] c1=0.042617870096191654, c2=0.05664950753130907 .................
[CV]  c1=0.042617870096191654, c2=0.05664950753130907, score=0.852828 -   1.4s
[CV] c1=0.4894882363272065, c2=0.043858462122021956 ..................
[CV]  c1=0.4894882363272065, c2=0.043858462122021956, score=0.822201 -   1.5s
[CV] c1=0.48289016425990167, c2=0.019411742310328835 .................
[CV]  c1=0.48289016425990167, c2=0.019411742310328835, score=0.882612 -   1.5s
[CV] c1=0.27237893963509213, c2=0.03493380235000669 ..................
[CV]  c1=0.27237893963509213, c2=0.03493380235000669, score=0.793089 -   1.6s
[CV] c1=0.9022393979457329, c2=0.08197521958355719 ...................
[CV]  c1=0.9022393979457329, c2=0.08197521958355719, score=0.845284 -   1.5s
[CV] c1=0.6548452700930176, c2=0.022826350597830974 ..................
[CV]  c1=0.6548452700930176, c2=0.022826350597830974, score=0.665161 -   1.3s
[CV] c1=0.25788173491195515, c2=0.07967690143490674 ..................
[CV]  c1=0.25788173491195515, c2=0.07967690143490674, score=0.870973 -   1.5s
[CV] c1=1.4344558831427277, c2=0.05882694363203387 ...................
[CV]  c1=1.4344558831427277, c2=0.05882694363203387, score=0.544958 -   1.2s
[CV] c1=0.2916036077372858, c2=0.04112326580157005 ...................
[CV]  c1=0.2916036077372858, c2=0.04112326580157005, score=0.758683 -   1.6s
[CV] c1=0.09516256609923207, c2=0.038083328825728985 .................
[CV]  c1=0.09516256609923207, c2=0.038083328825728985, score=0.787542 -   1.6s
[CV] c1=0.44678174121114606, c2=0.04663901099776818 ..................
[CV]  c1=0.44678174121114606, c2=0.04663901099776818, score=0.667411 -   1.2s
[CV] c1=1.2523158494800481, c2=0.04250140142200323 ...................
[CV]  c1=1.2523158494800481, c2=0.04250140142200323, score=0.569984 -   1.7s
[CV] c1=0.5452331803350856, c2=0.06716657134695188 ...................
[CV]  c1=0.5452331803350856, c2=0.06716657134695188, score=0.810598 -   1.4s
[CV] c1=0.9494135793517107, c2=0.01157849122168346 ...................
[CV]  c1=0.9494135793517107, c2=0.01157849122168346, score=0.603445 -   1.2s
[CV] c1=0.30206555254217254, c2=0.005401817352659627 .................
[CV]  c1=0.30206555254217254, c2=0.005401817352659627, score=0.820653 -   1.7s
[CV] c1=0.27237893963509213, c2=0.03493380235000669 ..................
[CV]  c1=0.27237893963509213, c2=0.03493380235000669, score=0.884781 -   1.5s
[CV] c1=0.5687871674680189, c2=0.09219860021121916 ...................
[CV]  c1=0.5687871674680189, c2=0.09219860021121916, score=0.645087 -   1.3s
[CV] c1=1.133426518342521, c2=0.042021737507984575 ...................
[CV]  c1=1.133426518342521, c2=0.042021737507984575, score=0.589209 -   1.3s
[CV] c1=0.15901671200752643, c2=0.08567877491299358 ..................
[CV]  c1=0.15901671200752643, c2=0.08567877491299358, score=0.777635 -   1.5s
[CV] c1=0.8241935715158306, c2=0.0683023163201573 ....................
[CV]  c1=0.8241935715158306, c2=0.0683023163201573, score=0.729485 -   1.5s
[CV] c1=0.2916036077372858, c2=0.04112326580157005 ...................
[CV]  c1=0.2916036077372858, c2=0.04112326580157005, score=0.889773 -   1.6s
[CV] c1=0.09516256609923207, c2=0.038083328825728985 .................
[CV]  c1=0.09516256609923207, c2=0.038083328825728985, score=0.851061 -   1.5s
[CV] c1=0.43714260749669487, c2=0.051647235943209274 .................
[CV]  c1=0.43714260749669487, c2=0.051647235943209274, score=0.761804 -   1.5s
[CV] c1=1.2523158494800481, c2=0.04250140142200323 ...................
[CV]  c1=1.2523158494800481, c2=0.04250140142200323, score=0.825813 -   1.5s
[CV] c1=0.2913669366356478, c2=0.028771329215319687 ..................
[CV]  c1=0.2913669366356478, c2=0.028771329215319687, score=0.773312 -   1.5s
[CV] c1=0.7011088927178207, c2=0.019514569506172176 ..................
[CV]  c1=0.7011088927178207, c2=0.019514569506172176, score=0.794575 -   1.5s
[CV] c1=0.30206555254217254, c2=0.005401817352659627 .................
[CV]  c1=0.30206555254217254, c2=0.005401817352659627, score=0.777868 -   1.6s
[CV] c1=0.11745253756202324, c2=0.01058228660579126 ..................
[CV]  c1=0.11745253756202324, c2=0.01058228660579126, score=0.881084 -   1.5s
[CV] c1=0.31238985455299734, c2=0.013698467371036166 .................
[CV]  c1=0.31238985455299734, c2=0.013698467371036166, score=0.783346 -   1.6s
[CV] c1=1.133426518342521, c2=0.042021737507984575 ...................
[CV]  c1=1.133426518342521, c2=0.042021737507984575, score=0.588368 -   1.6s
[CV] c1=0.25788173491195515, c2=0.07967690143490674 ..................
[CV]  c1=0.25788173491195515, c2=0.07967690143490674, score=0.668161 -   1.3s
[CV] c1=0.7176276866619925, c2=0.02674514317266269 ...................
[CV]  c1=0.7176276866619925, c2=0.02674514317266269, score=0.709605 -   1.6s
[CV] c1=0.2916036077372858, c2=0.04112326580157005 ...................
[CV]  c1=0.2916036077372858, c2=0.04112326580157005, score=0.851290 -   1.4s
[CV] c1=0.09516256609923207, c2=0.038083328825728985 .................
[CV]  c1=0.09516256609923207, c2=0.038083328825728985, score=0.809878 -   1.6s
[CV] c1=0.44678174121114606, c2=0.04663901099776818 ..................
[CV]  c1=0.44678174121114606, c2=0.04663901099776818, score=0.878066 -   1.4s
[CV] c1=1.2523158494800481, c2=0.04250140142200323 ...................
[CV]  c1=1.2523158494800481, c2=0.04250140142200323, score=0.566510 -   1.3s
[CV] c1=0.12984691998146577, c2=0.0737292182911522 ...................
[CV]  c1=0.12984691998146577, c2=0.0737292182911522, score=0.787542 -   1.6s
[CV] c1=0.3947910391655151, c2=0.05267130232718953 ...................
[CV]  c1=0.3947910391655151, c2=0.05267130232718953, score=0.746885 -   1.6s
[CV] c1=0.30206555254217254, c2=0.005401817352659627 .................
[CV]  c1=0.30206555254217254, c2=0.005401817352659627, score=0.889407 -   1.5s
[CV] c1=0.3853642873457063, c2=0.006553983908683701 ..................
[CV]  c1=0.3853642873457063, c2=0.006553983908683701, score=0.757020 -   1.6s
[CV] c1=0.4883077719466978, c2=0.02090068732374874 ...................
[CV]  c1=0.4883077719466978, c2=0.02090068732374874, score=0.798356 -   1.6s
[CV] c1=1.133426518342521, c2=0.042021737507984575 ...................
[CV]  c1=1.133426518342521, c2=0.042021737507984575, score=0.646634 -   1.7s
[CV] c1=0.25788173491195515, c2=0.07967690143490674 ..................
[CV]  c1=0.25788173491195515, c2=0.07967690143490674, score=0.785160 -   1.7s
[CV] c1=0.7281396678637285, c2=0.0013300023370136154 .................
[CV]  c1=0.7281396678637285, c2=0.0013300023370136154, score=0.659322 -   1.3s
[CV] c1=0.3529225509777797, c2=0.04163342787178293 ...................
[CV]  c1=0.3529225509777797, c2=0.04163342787178293, score=0.838431 -   1.6s
[CV] c1=0.009763180928839868, c2=0.22720073035376998 .................
[CV]  c1=0.009763180928839868, c2=0.22720073035376998, score=0.686530 -   1.2s
[CV] c1=0.43714260749669487, c2=0.051647235943209274 .................
[CV]  c1=0.43714260749669487, c2=0.051647235943209274, score=0.807188 -   1.6s
[CV] c1=1.2523158494800481, c2=0.04250140142200323 ...................
[CV]  c1=1.2523158494800481, c2=0.04250140142200323, score=0.778972 -   1.5s
[CV] c1=0.2913669366356478, c2=0.028771329215319687 ..................
[CV]  c1=0.2913669366356478, c2=0.028771329215319687, score=0.820508 -   1.4s
[CV] c1=0.7011088927178207, c2=0.019514569506172176 ..................
[CV]  c1=0.7011088927178207, c2=0.019514569506172176, score=0.704570 -   1.7s
[CV] c1=0.32814911822336323, c2=0.013888889938404706 .................
[CV]  c1=0.32814911822336323, c2=0.013888889938404706, score=0.832842 -   1.5s
[CV] c1=0.11745253756202324, c2=0.01058228660579126 ..................
[CV]  c1=0.11745253756202324, c2=0.01058228660579126, score=0.805410 -   1.6s
[CV] c1=0.31238985455299734, c2=0.013698467371036166 .................
[CV]  c1=0.31238985455299734, c2=0.013698467371036166, score=0.811583 -   1.6s
[CV] c1=0.10384050257898088, c2=0.025045647816910644 .................
[CV]  c1=0.10384050257898088, c2=0.025045647816910644, score=0.784143 -   1.6s
[CV] c1=0.25788173491195515, c2=0.07967690143490674 ..................
[CV]  c1=0.25788173491195515, c2=0.07967690143490674, score=0.832842 -   1.6s
[CV] c1=1.4344558831427277, c2=0.05882694363203387 ...................
[CV]  c1=1.4344558831427277, c2=0.05882694363203387, score=0.568096 -   1.5s
[CV] c1=0.05310548431988674, c2=0.030533953878003808 .................
[CV]  c1=0.05310548431988674, c2=0.030533953878003808, score=0.666054 -   1.2s
[CV] c1=0.39777796667919163, c2=0.04258355652829497 ..................
[CV]  c1=0.39777796667919163, c2=0.04258355652829497, score=0.875096 -   1.6s
[CV] c1=0.44678174121114606, c2=0.04663901099776818 ..................
[CV]  c1=0.44678174121114606, c2=0.04663901099776818, score=0.768257 -   1.5s
[CV] c1=0.6317950975886659, c2=0.02718740305518636 ...................
[CV]  c1=0.6317950975886659, c2=0.02718740305518636, score=0.854568 -   1.6s
[CV] c1=0.12984691998146577, c2=0.0737292182911522 ...................
[CV]  c1=0.12984691998146577, c2=0.0737292182911522, score=0.852828 -   1.4s
[CV] c1=0.06396519641514808, c2=0.12218784537810826 ..................
[CV]  c1=0.06396519641514808, c2=0.12218784537810826, score=0.852828 -   1.4s
[CV] c1=0.05449426998593601, c2=0.09109043441871098 ..................
[CV]  c1=0.05449426998593601, c2=0.09109043441871098, score=0.794944 -   1.6s
[CV] c1=0.03527181047946029, c2=0.016165253775878168 .................
[CV]  c1=0.03527181047946029, c2=0.016165253775878168, score=0.787542 -   1.4s
[CV] c1=1.581302198562341, c2=0.07225525486542318 ....................
[CV]  c1=1.581302198562341, c2=0.07225525486542318, score=0.729706 -   1.5s
[CV] c1=0.2448120948912434, c2=0.12573137501429865 ...................
[CV]  c1=0.2448120948912434, c2=0.12573137501429865, score=0.866874 -   1.5s
[CV] c1=0.3591185608789903, c2=0.027546668446867498 ..................
[CV]  c1=0.3591185608789903, c2=0.027546668446867498, score=0.704676 -   1.4s
[CV] c1=0.4031696334645846, c2=0.006303603235800745 ..................
[CV]  c1=0.4031696334645846, c2=0.006303603235800745, score=0.797344 -   1.6s
[CV] c1=1.0926560020181106, c2=0.023899254984075108 ..................
[CV]  c1=1.0926560020181106, c2=0.023899254984075108, score=0.583949 -   1.3s
[CV] c1=1.2067057804251298, c2=0.1443847560592625 ....................
[CV]  c1=1.2067057804251298, c2=0.1443847560592625, score=0.796731 -   1.5s
[CV] c1=0.7584152191684216, c2=0.04648927533684474 ...................
[CV]  c1=0.7584152191684216, c2=0.04648927533684474, score=0.649209 -   1.2s
[CV] c1=0.22724221878703849, c2=0.025909998353273678 .................
[CV]  c1=0.22724221878703849, c2=0.025909998353273678, score=0.664408 -   1.2s
[CV] c1=0.09368984248727405, c2=0.0251062105575634 ...................
[CV]  c1=0.09368984248727405, c2=0.0251062105575634, score=0.675169 -   1.2s
[CV] c1=0.9746357682461961, c2=0.03945208420639168 ...................
[CV]  c1=0.9746357682461961, c2=0.03945208420639168, score=0.669087 -   1.6s
[CV] c1=0.7011088927178207, c2=0.019514569506172176 ..................
[CV]  c1=0.7011088927178207, c2=0.019514569506172176, score=0.866853 -   1.5s
[CV] c1=0.30206555254217254, c2=0.005401817352659627 .................
[CV]  c1=0.30206555254217254, c2=0.005401817352659627, score=0.671592 -   1.2s
[CV] c1=1.4874439222971259, c2=0.01978410757347599 ...................
[CV]  c1=1.4874439222971259, c2=0.01978410757347599, score=0.817215 -   1.5s
[CV] c1=0.30378052853301285, c2=0.0032596553978256624 ................
[CV]  c1=0.30378052853301285, c2=0.0032596553978256624, score=0.705376 -   1.2s
[CV] c1=0.12769192015733927, c2=9.146835014134972e-05 ................
[CV]  c1=0.12769192015733927, c2=9.146835014134972e-05, score=0.846964 -   1.4s
[CV] c1=0.2246970246704248, c2=0.12832090603419388 ...................
[CV]  c1=0.2246970246704248, c2=0.12832090603419388, score=0.665558 -   1.2s
[CV] c1=0.21653769718321067, c2=0.2530453917625133 ...................
[CV]  c1=0.21653769718321067, c2=0.2530453917625133, score=0.769330 -   1.6s
[CV] c1=0.06500512236150216, c2=0.12239145937658119 ..................
[CV]  c1=0.06500512236150216, c2=0.12239145937658119, score=0.677503 -   1.2s
[CV] c1=0.05310548431988674, c2=0.030533953878003808 .................
[CV]  c1=0.05310548431988674, c2=0.030533953878003808, score=0.878494 -   1.4s
[CV] c1=0.009763180928839868, c2=0.22720073035376998 .................
[CV]  c1=0.009763180928839868, c2=0.22720073035376998, score=0.876555 -   1.5s
[CV] c1=0.171103528960831, c2=0.005923095187525127 ...................
[CV]  c1=0.171103528960831, c2=0.005923095187525127, score=0.891622 -   1.4s
[CV] c1=0.09368984248727405, c2=0.0251062105575634 ...................
[CV]  c1=0.09368984248727405, c2=0.0251062105575634, score=0.851061 -   1.4s
[CV] c1=0.042617870096191654, c2=0.05664950753130907 .................
[CV]  c1=0.042617870096191654, c2=0.05664950753130907, score=0.701135 -   1.2s
[CV] c1=0.3947910391655151, c2=0.05267130232718953 ...................
[CV]  c1=0.3947910391655151, c2=0.05267130232718953, score=0.668161 -   1.3s
[CV] c1=0.05449426998593601, c2=0.09109043441871098 ..................
[CV]  c1=0.05449426998593601, c2=0.09109043441871098, score=0.852828 -   1.3s
[CV] c1=0.18447654708019526, c2=0.08876806194113329 ..................
[CV]  c1=0.18447654708019526, c2=0.08876806194113329, score=0.787603 -   1.6s
[CV] c1=1.581302198562341, c2=0.07225525486542318 ....................
[CV]  c1=1.581302198562341, c2=0.07225525486542318, score=0.531433 -   1.3s
[CV] c1=0.12769192015733927, c2=9.146835014134972e-05 ................
[CV]  c1=0.12769192015733927, c2=9.146835014134972e-05, score=0.718587 -   1.2s
[CV] c1=0.6548452700930176, c2=0.022826350597830974 ..................
[CV]  c1=0.6548452700930176, c2=0.022826350597830974, score=0.709605 -   1.6s
[CV] c1=0.5753291651416234, c2=0.009138111983154906 ..................
[CV]  c1=0.5753291651416234, c2=0.009138111983154906, score=0.673594 -   1.3s
[CV] c1=0.7281396678637285, c2=0.0013300023370136154 .................
[CV]  c1=0.7281396678637285, c2=0.0013300023370136154, score=0.863877 -   1.5s
[CV] c1=0.05310548431988674, c2=0.030533953878003808 .................
[CV]  c1=0.05310548431988674, c2=0.030533953878003808, score=0.803935 -   1.5s
[CV] c1=0.009763180928839868, c2=0.22720073035376998 .................
[CV]  c1=0.009763180928839868, c2=0.22720073035376998, score=0.852828 -   1.4s
[CV] c1=0.171103528960831, c2=0.005923095187525127 ...................
[CV]  c1=0.171103528960831, c2=0.005923095187525127, score=0.799353 -   1.5s
[CV] c1=0.10346015477578065, c2=0.08486541083483379 ..................
[CV]  c1=0.10346015477578065, c2=0.08486541083483379, score=0.850588 -   1.5s
[CV] c1=0.5452331803350856, c2=0.06716657134695188 ...................
[CV]  c1=0.5452331803350856, c2=0.06716657134695188, score=0.661652 -   1.3s
[CV] c1=0.4894882363272065, c2=0.043858462122021956 ..................
[CV]  c1=0.4894882363272065, c2=0.043858462122021956, score=0.876183 -   1.7s
[CV] c1=0.32814911822336323, c2=0.013888889938404706 .................
[CV]  c1=0.32814911822336323, c2=0.013888889938404706, score=0.820508 -   1.6s
[CV] c1=0.27237893963509213, c2=0.03493380235000669 ..................
[CV]  c1=0.27237893963509213, c2=0.03493380235000669, score=0.834914 -   1.5s
[CV] c1=0.5687871674680189, c2=0.09219860021121916 ...................
[CV]  c1=0.5687871674680189, c2=0.09219860021121916, score=0.802835 -   1.5s
[CV] c1=0.10384050257898088, c2=0.025045647816910644 .................
[CV]  c1=0.10384050257898088, c2=0.025045647816910644, score=0.846433 -   1.5s
[CV] c1=0.25788173491195515, c2=0.07967690143490674 ..................
[CV]  c1=0.25788173491195515, c2=0.07967690143490674, score=0.761973 -   1.5s
[CV] c1=1.4344558831427277, c2=0.05882694363203387 ...................
[CV]  c1=1.4344558831427277, c2=0.05882694363203387, score=0.733426 -   1.4s
[CV] c1=0.3529225509777797, c2=0.04163342787178293 ...................
[CV]  c1=0.3529225509777797, c2=0.04163342787178293, score=0.756092 -   1.5s
[CV] c1=0.39777796667919163, c2=0.04258355652829497 ..................
[CV]  c1=0.39777796667919163, c2=0.04258355652829497, score=0.835856 -   1.5s
[CV] c1=0.44678174121114606, c2=0.04663901099776818 ..................
[CV]  c1=0.44678174121114606, c2=0.04663901099776818, score=0.833222 -   1.5s
[CV] c1=0.10346015477578065, c2=0.08486541083483379 ..................
[CV]  c1=0.10346015477578065, c2=0.08486541083483379, score=0.788397 -   1.5s
[CV] c1=0.5452331803350856, c2=0.06716657134695188 ...................
[CV]  c1=0.5452331803350856, c2=0.06716657134695188, score=0.779409 -   1.6s
[CV] c1=0.3461605416507371, c2=0.007918503717648559 ..................
[CV]  c1=0.3461605416507371, c2=0.007918503717648559, score=0.838707 -   1.5s
[CV] c1=0.9850784039069544, c2=0.013811075301783278 ..................
[CV]  c1=0.9850784039069544, c2=0.013811075301783278, score=0.613143 -   1.6s
[CV] c1=0.03986369111030151, c2=0.003822962638501938 .................
[CV]  c1=0.03986369111030151, c2=0.003822962638501938, score=0.877542 -   1.5s
[CV] c1=1.2116272073706724, c2=0.005632434722115082 ..................
[CV]  c1=1.2116272073706724, c2=0.005632434722115082, score=0.833273 -   1.5s
[CV] c1=0.3553506707363763, c2=0.009806674586683224 ..................
[CV]  c1=0.3553506707363763, c2=0.009806674586683224, score=0.675684 -   1.2s
[CV] c1=0.21653769718321067, c2=0.2530453917625133 ...................
[CV]  c1=0.21653769718321067, c2=0.2530453917625133, score=0.867323 -   1.6s
[CV] c1=0.7281396678637285, c2=0.0013300023370136154 .................
[CV]  c1=0.7281396678637285, c2=0.0013300023370136154, score=0.801767 -   1.5s
[CV] c1=0.8048219994701323, c2=0.04613491749516657 ...................
[CV]  c1=0.8048219994701323, c2=0.04613491749516657, score=0.857281 -   1.5s
[CV] c1=0.015506263778080433, c2=0.013427237581722117 ................
[CV]  c1=0.015506263778080433, c2=0.013427237581722117, score=0.877575 -   1.5s
[CV] c1=0.22724221878703849, c2=0.025909998353273678 .................
[CV]  c1=0.22724221878703849, c2=0.025909998353273678, score=0.885236 -   1.3s
[CV] c1=0.1488676425766575, c2=0.006107575628887397 ..................
[CV]  c1=0.1488676425766575, c2=0.006107575628887397, score=0.799915 -   1.6s
[CV] c1=0.4287693916578526, c2=0.015947498861769178 ..................
[CV]  c1=0.4287693916578526, c2=0.015947498861769178, score=0.688677 -   1.2s
[CV] c1=0.9494135793517107, c2=0.01157849122168346 ...................
[CV]  c1=0.9494135793517107, c2=0.01157849122168346, score=0.662582 -   1.5s
[CV] c1=0.9850784039069544, c2=0.013811075301783278 ..................
[CV]  c1=0.9850784039069544, c2=0.013811075301783278, score=0.602905 -   1.2s
[CV] c1=0.11745253756202324, c2=0.01058228660579126 ..................
[CV]  c1=0.11745253756202324, c2=0.01058228660579126, score=0.780537 -   1.6s
[CV] c1=0.5687871674680189, c2=0.09219860021121916 ...................
[CV]  c1=0.5687871674680189, c2=0.09219860021121916, score=0.716413 -   1.6s
[CV] c1=0.10384050257898088, c2=0.025045647816910644 .................
[CV]  c1=0.10384050257898088, c2=0.025045647816910644, score=0.781398 -   1.7s
[CV] c1=0.21653769718321067, c2=0.2530453917625133 ...................
[CV]  c1=0.21653769718321067, c2=0.2530453917625133, score=0.818795 -   1.5s
[CV] c1=0.7281396678637285, c2=0.0013300023370136154 .................
[CV]  c1=0.7281396678637285, c2=0.0013300023370136154, score=0.723134 -   1.5s
[CV] c1=0.8048219994701323, c2=0.04613491749516657 ...................
[CV]  c1=0.8048219994701323, c2=0.04613491749516657, score=0.615652 -   1.2s
[CV] c1=0.39777796667919163, c2=0.04258355652829497 ..................
[CV]  c1=0.39777796667919163, c2=0.04258355652829497, score=0.820122 -   1.6s
[CV] c1=0.171103528960831, c2=0.005923095187525127 ...................
[CV]  c1=0.171103528960831, c2=0.005923095187525127, score=0.851061 -   1.3s
[CV] c1=0.1488676425766575, c2=0.006107575628887397 ..................
[CV]  c1=0.1488676425766575, c2=0.006107575628887397, score=0.856953 -   1.4s
[CV] c1=2.337119008428356, c2=0.18232646344144052 ....................
[CV]  c1=2.337119008428356, c2=0.18232646344144052, score=0.585811 -   1.5s
[CV] c1=0.3461605416507371, c2=0.007918503717648559 ..................
[CV]  c1=0.3461605416507371, c2=0.007918503717648559, score=0.811583 -   1.6s
[CV] c1=0.5457536854008066, c2=0.055564168492608035 ..................
[CV]  c1=0.5457536854008066, c2=0.055564168492608035, score=0.864062 -   1.5s
[CV] c1=0.35608129709215813, c2=0.039368801439238266 .................
[CV]  c1=0.35608129709215813, c2=0.039368801439238266, score=0.763528 -   1.4s
[CV] c1=0.9022393979457329, c2=0.08197521958355719 ...................
[CV]  c1=0.9022393979457329, c2=0.08197521958355719, score=0.600064 -   1.2s
[CV] c1=0.10384050257898088, c2=0.025045647816910644 .................
[CV]  c1=0.10384050257898088, c2=0.025045647816910644, score=0.878141 -   1.5s
[CV] c1=0.8215376350798923, c2=0.14641423983037533 ...................
[CV]  c1=0.8215376350798923, c2=0.14641423983037533, score=0.787831 -   1.5s
[CV] c1=0.7176276866619925, c2=0.02674514317266269 ...................
[CV]  c1=0.7176276866619925, c2=0.02674514317266269, score=0.809335 -   1.6s
[CV] c1=0.2916036077372858, c2=0.04112326580157005 ...................
[CV]  c1=0.2916036077372858, c2=0.04112326580157005, score=0.820508 -   1.6s
[CV] c1=0.39777796667919163, c2=0.04258355652829497 ..................
[CV]  c1=0.39777796667919163, c2=0.04258355652829497, score=0.764433 -   1.6s
[CV] c1=0.44678174121114606, c2=0.04663901099776818 ..................
[CV]  c1=0.44678174121114606, c2=0.04663901099776818, score=0.809180 -   1.6s
[CV] c1=0.1488676425766575, c2=0.006107575628887397 ..................
[CV]  c1=0.1488676425766575, c2=0.006107575628887397, score=0.778408 -   1.6s
[CV] c1=2.337119008428356, c2=0.18232646344144052 ....................
[CV]  c1=2.337119008428356, c2=0.18232646344144052, score=0.523317 -   1.6s
[CV] c1=0.7218709087298331, c2=0.056488103314003196 ..................
[CV]  c1=0.7218709087298331, c2=0.056488103314003196, score=0.659209 -   1.2s
[CV] c1=0.48289016425990167, c2=0.019411742310328835 .................
[CV]  c1=0.48289016425990167, c2=0.019411742310328835, score=0.791967 -   1.5s
[CV] c1=0.27237893963509213, c2=0.03493380235000669 ..................
[CV]  c1=0.27237893963509213, c2=0.03493380235000669, score=0.820508 -   1.6s
[CV] c1=0.9022393979457329, c2=0.08197521958355719 ...................
[CV]  c1=0.9022393979457329, c2=0.08197521958355719, score=0.793494 -   1.5s
[CV] c1=0.6548452700930176, c2=0.022826350597830974 ..................
[CV]  c1=0.6548452700930176, c2=0.022826350597830974, score=0.723134 -   1.6s
[CV] c1=0.5753291651416234, c2=0.009138111983154906 ..................
[CV]  c1=0.5753291651416234, c2=0.009138111983154906, score=0.746511 -   1.6s
[CV] c1=0.06500512236150216, c2=0.12239145937658119 ..................
[CV]  c1=0.06500512236150216, c2=0.12239145937658119, score=0.852828 -   1.3s
[CV] c1=0.05310548431988674, c2=0.030533953878003808 .................
[CV]  c1=0.05310548431988674, c2=0.030533953878003808, score=0.782981 -   1.6s
[CV] c1=0.015506263778080433, c2=0.013427237581722117 ................
[CV]  c1=0.015506263778080433, c2=0.013427237581722117, score=0.807452 -   1.6s
[CV] c1=0.22724221878703849, c2=0.025909998353273678 .................
[CV]  c1=0.22724221878703849, c2=0.025909998353273678, score=0.846433 -   1.2s
[CV] c1=0.4786490054304202, c2=0.04997525133978265 ...................
[CV]  c1=0.4786490054304202, c2=0.04997525133978265, score=0.812009 -   1.5s
[CV] c1=0.9746357682461961, c2=0.03945208420639168 ...................
[CV]  c1=0.9746357682461961, c2=0.03945208420639168, score=0.600241 -   1.2s
[CV] c1=0.06396519641514808, c2=0.12218784537810826 ..................
[CV]  c1=0.06396519641514808, c2=0.12218784537810826, score=0.779476 -   1.5s
[CV] c1=0.05449426998593601, c2=0.09109043441871098 ..................
[CV]  c1=0.05449426998593601, c2=0.09109043441871098, score=0.693269 -   1.2s
[CV] c1=0.18447654708019526, c2=0.08876806194113329 ..................
[CV]  c1=0.18447654708019526, c2=0.08876806194113329, score=0.887846 -   1.6s
[CV] c1=0.4722680398127066, c2=0.14327988439101313 ...................
[CV]  c1=0.4722680398127066, c2=0.14327988439101313, score=0.654083 -   1.3s
[CV] c1=1.2116272073706724, c2=0.005632434722115082 ..................
[CV]  c1=1.2116272073706724, c2=0.005632434722115082, score=0.577001 -   1.3s
[CV] c1=0.6548452700930176, c2=0.022826350597830974 ..................
[CV]  c1=0.6548452700930176, c2=0.022826350597830974, score=0.787705 -   1.4s
[CV] c1=0.21653769718321067, c2=0.2530453917625133 ...................
[CV]  c1=0.21653769718321067, c2=0.2530453917625133, score=0.731595 -   1.5s
[CV] c1=0.7281396678637285, c2=0.0013300023370136154 .................
[CV]  c1=0.7281396678637285, c2=0.0013300023370136154, score=0.725224 -   1.5s
[CV] c1=0.05310548431988674, c2=0.030533953878003808 .................
[CV]  c1=0.05310548431988674, c2=0.030533953878003808, score=0.802938 -   1.5s
[CV] c1=0.009763180928839868, c2=0.22720073035376998 .................
[CV]  c1=0.009763180928839868, c2=0.22720073035376998, score=0.778708 -   1.6s
[CV] c1=0.171103528960831, c2=0.005923095187525127 ...................
[CV]  c1=0.171103528960831, c2=0.005923095187525127, score=0.803860 -   1.4s
[CV] c1=0.1897106368535274, c2=0.028123509627636385 ..................
[CV]  c1=0.1897106368535274, c2=0.028123509627636385, score=0.839853 -   1.1s
[CV] c1=0.35491424461483434, c2=0.02409749789753768 ..................
[CV]  c1=0.35491424461483434, c2=0.02409749789753768, score=0.828561 -   1.6s
[CV] c1=0.04695664912560421, c2=0.08586263734760195 ..................
[CV]  c1=0.04695664912560421, c2=0.08586263734760195, score=0.803076 -   1.6s
[CV] c1=0.21913278085797164, c2=0.027231332908024375 .................
[CV]  c1=0.21913278085797164, c2=0.027231332908024375, score=0.784772 -   1.7s
[CV] c1=0.03527181047946029, c2=0.016165253775878168 .................
[CV]  c1=0.03527181047946029, c2=0.016165253775878168, score=0.846964 -   1.5s
[CV] c1=1.581302198562341, c2=0.07225525486542318 ....................
[CV]  c1=1.581302198562341, c2=0.07225525486542318, score=0.561611 -   1.6s
[CV] c1=0.6663722603789696, c2=0.010978012566862962 ..................
[CV]  c1=0.6663722603789696, c2=0.010978012566862962, score=0.864643 -   1.7s
[CV] c1=0.15901671200752643, c2=0.08567877491299358 ..................
[CV]  c1=0.15901671200752643, c2=0.08567877491299358, score=0.662155 -   1.2s
[CV] c1=2.279970024392646, c2=0.0005981089114258274 ..................
[CV]  c1=2.279970024392646, c2=0.0005981089114258274, score=0.513285 -   1.2s
[CV] c1=1.1788474532885123, c2=0.005112518162903923 ..................
[CV]  c1=1.1788474532885123, c2=0.005112518162903923, score=0.827981 -   1.6s
[CV] c1=1.2067057804251298, c2=0.1443847560592625 ....................
[CV]  c1=1.2067057804251298, c2=0.1443847560592625, score=0.637397 -   1.5s
[CV] c1=0.7584152191684216, c2=0.04648927533684474 ...................
[CV]  c1=0.7584152191684216, c2=0.04648927533684474, score=0.801770 -   1.4s
[CV] c1=1.6819248406527207, c2=0.05031930037119195 ...................
[CV]  c1=1.6819248406527207, c2=0.05031930037119195, score=0.522788 -   1.1s
[CV] c1=0.10346015477578065, c2=0.08486541083483379 ..................
[CV]  c1=0.10346015477578065, c2=0.08486541083483379, score=0.787542 -   1.6s
[CV] c1=2.337119008428356, c2=0.18232646344144052 ....................
[CV]  c1=2.337119008428356, c2=0.18232646344144052, score=0.622166 -   1.4s
[CV] c1=0.3461605416507371, c2=0.007918503717648559 ..................
[CV]  c1=0.3461605416507371, c2=0.007918503717648559, score=0.895281 -   1.5s
[CV] c1=0.9850784039069544, c2=0.013811075301783278 ..................
[CV]  c1=0.9850784039069544, c2=0.013811075301783278, score=0.651322 -   1.6s
[CV] c1=0.35608129709215813, c2=0.039368801439238266 .................
[CV]  c1=0.35608129709215813, c2=0.039368801439238266, score=0.839195 -   1.4s
[CV] c1=0.9022393979457329, c2=0.08197521958355719 ...................
[CV]  c1=0.9022393979457329, c2=0.08197521958355719, score=0.669087 -   1.6s
[CV] c1=0.3553506707363763, c2=0.009806674586683224 ..................
[CV]  c1=0.3553506707363763, c2=0.009806674586683224, score=0.881211 -   1.5s
[CV] c1=0.5753291651416234, c2=0.009138111983154906 ..................
[CV]  c1=0.5753291651416234, c2=0.009138111983154906, score=0.869122 -   1.5s
[CV] c1=0.06500512236150216, c2=0.12239145937658119 ..................
[CV]  c1=0.06500512236150216, c2=0.12239145937658119, score=0.790662 -   1.5s
[CV] c1=0.8048219994701323, c2=0.04613491749516657 ...................
[CV]  c1=0.8048219994701323, c2=0.04613491749516657, score=0.686334 -   1.5s
[CV] c1=0.015506263778080433, c2=0.013427237581722117 ................
[CV]  c1=0.015506263778080433, c2=0.013427237581722117, score=0.858720 -   1.5s
[CV] c1=0.22724221878703849, c2=0.025909998353273678 .................
[CV]  c1=0.22724221878703849, c2=0.025909998353273678, score=0.799353 -   1.3s
[CV] c1=0.10346015477578065, c2=0.08486541083483379 ..................
[CV]  c1=0.10346015477578065, c2=0.08486541083483379, score=0.877144 -   1.5s
[CV] c1=0.042617870096191654, c2=0.05664950753130907 .................
[CV]  c1=0.042617870096191654, c2=0.05664950753130907, score=0.776836 -   1.6s
[CV] c1=0.9494135793517107, c2=0.01157849122168346 ...................
[CV]  c1=0.9494135793517107, c2=0.01157849122168346, score=0.793494 -   1.4s
[CV] c1=0.48289016425990167, c2=0.019411742310328835 .................
[CV]  c1=0.48289016425990167, c2=0.019411742310328835, score=0.753453 -   1.6s
[CV] c1=0.35608129709215813, c2=0.039368801439238266 .................
[CV]  c1=0.35608129709215813, c2=0.039368801439238266, score=0.883821 -   1.6s
[CV] c1=0.9022393979457329, c2=0.08197521958355719 ...................
[CV]  c1=0.9022393979457329, c2=0.08197521958355719, score=0.636051 -   1.6s
[CV] c1=0.3553506707363763, c2=0.009806674586683224 ..................
[CV]  c1=0.3553506707363763, c2=0.009806674586683224, score=0.780678 -   1.6s
[CV] c1=0.5753291651416234, c2=0.009138111983154906 ..................
[CV]  c1=0.5753291651416234, c2=0.009138111983154906, score=0.786578 -   1.6s
[CV] c1=1.1788474532885123, c2=0.005112518162903923 ..................
[CV]  c1=1.1788474532885123, c2=0.005112518162903923, score=0.572804 -   1.3s
[CV] c1=0.8048219994701323, c2=0.04613491749516657 ...................
[CV]  c1=0.8048219994701323, c2=0.04613491749516657, score=0.774559 -   1.6s
[CV] c1=0.015506263778080433, c2=0.013427237581722117 ................
[CV]  c1=0.015506263778080433, c2=0.013427237581722117, score=0.786565 -   1.6s
[CV] c1=0.22724221878703849, c2=0.025909998353273678 .................
[CV]  c1=0.22724221878703849, c2=0.025909998353273678, score=0.814958 -   1.2s
[CV] c1=0.09368984248727405, c2=0.0251062105575634 ...................
[CV]  c1=0.09368984248727405, c2=0.0251062105575634, score=0.817615 -   1.6s
[CV] c1=0.5452331803350856, c2=0.06716657134695188 ...................
[CV]  c1=0.5452331803350856, c2=0.06716657134695188, score=0.718214 -   1.6s
[CV] c1=0.3461605416507371, c2=0.007918503717648559 ..................
[CV]  c1=0.3461605416507371, c2=0.007918503717648559, score=0.685201 -   1.3s
[CV] c1=0.32814911822336323, c2=0.013888889938404706 .................
[CV]  c1=0.32814911822336323, c2=0.013888889938404706, score=0.709008 -   1.2s
[CV] c1=0.3853642873457063, c2=0.006553983908683701 ..................
[CV]  c1=0.3853642873457063, c2=0.006553983908683701, score=0.879099 -   1.5s
[CV] c1=0.4883077719466978, c2=0.02090068732374874 ...................
[CV]  c1=0.4883077719466978, c2=0.02090068732374874, score=0.684247 -   1.2s
[CV] c1=0.6663722603789696, c2=0.010978012566862962 ..................
[CV]  c1=0.6663722603789696, c2=0.010978012566862962, score=0.661652 -   1.3s
[CV] c1=0.2246970246704248, c2=0.12832090603419388 ...................
[CV]  c1=0.2246970246704248, c2=0.12832090603419388, score=0.811645 -   1.6s
[CV] c1=2.279970024392646, c2=0.0005981089114258274 ..................
[CV]  c1=2.279970024392646, c2=0.0005981089114258274, score=0.749973 -   1.5s
[CV] c1=1.0926560020181106, c2=0.023899254984075108 ..................
[CV]  c1=1.0926560020181106, c2=0.023899254984075108, score=0.791758 -   1.5s
[CV] c1=0.6596046344599059, c2=0.021611155686538867 ..................
[CV]  c1=0.6596046344599059, c2=0.021611155686538867, score=0.859697 -   1.4s
[CV] c1=1.096478046256978, c2=0.005591071847447476 ...................
[CV]  c1=1.096478046256978, c2=0.005591071847447476, score=0.840407 -   1.5s
[CV] c1=0.408709661792656, c2=0.03558124895069358 ....................
[CV]  c1=0.408709661792656, c2=0.03558124895069358, score=0.668161 -   1.0s
[CV] c1=0.07002019201482157, c2=0.04084697416262914 ..................
[CV]  c1=0.07002019201482157, c2=0.04084697416262914, score=0.797924 -   1.5s
[CV] c1=0.2913669366356478, c2=0.028771329215319687 ..................
[CV]  c1=0.2913669366356478, c2=0.028771329215319687, score=0.885025 -   1.5s
[CV] c1=0.7011088927178207, c2=0.019514569506172176 ..................
[CV]  c1=0.7011088927178207, c2=0.019514569506172176, score=0.656110 -   1.3s
[CV] c1=0.15620030990123313, c2=0.03903321817700139 ..................
[CV]  c1=0.15620030990123313, c2=0.03903321817700139, score=0.677030 -   1.2s
[CV] c1=0.03527181047946029, c2=0.016165253775878168 .................
[CV]  c1=0.03527181047946029, c2=0.016165253775878168, score=0.714379 -   1.2s
[CV] c1=0.03986369111030151, c2=0.003822962638501938 .................
[CV]  c1=0.03986369111030151, c2=0.003822962638501938, score=0.793683 -   1.6s
[CV] c1=0.12769192015733927, c2=9.146835014134972e-05 ................
[CV]  c1=0.12769192015733927, c2=9.146835014134972e-05, score=0.884479 -   1.5s
[CV] c1=0.2246970246704248, c2=0.12832090603419388 ...................
[CV]  c1=0.2246970246704248, c2=0.12832090603419388, score=0.749476 -   1.5s
[CV] c1=0.4031696334645846, c2=0.006303603235800745 ..................
[CV]  c1=0.4031696334645846, c2=0.006303603235800745, score=0.839323 -   1.5s
[CV] c1=1.1788474532885123, c2=0.005112518162903923 ..................
[CV]  c1=1.1788474532885123, c2=0.005112518162903923, score=0.653524 -   1.6s
[CV] c1=1.2067057804251298, c2=0.1443847560592625 ....................
[CV]  c1=1.2067057804251298, c2=0.1443847560592625, score=0.586053 -   1.6s
[CV] c1=1.096478046256978, c2=0.005591071847447476 ...................
[CV]  c1=1.096478046256978, c2=0.005591071847447476, score=0.582909 -   1.3s
[CV] c1=1.6819248406527207, c2=0.05031930037119195 ...................
[CV]  c1=1.6819248406527207, c2=0.05031930037119195, score=0.771180 -   1.3s
[CV] c1=0.6317950975886659, c2=0.02718740305518636 ...................
[CV]  c1=0.6317950975886659, c2=0.02718740305518636, score=0.662183 -   0.9s
[CV] c1=0.35491424461483434, c2=0.02409749789753768 ..................
[CV]  c1=0.35491424461483434, c2=0.02409749789753768, score=0.681062 -   1.3s
[CV] c1=2.337119008428356, c2=0.18232646344144052 ....................
[CV]  c1=2.337119008428356, c2=0.18232646344144052, score=0.456616 -   1.4s
[CV] c1=0.9494135793517107, c2=0.01157849122168346 ...................
[CV]  c1=0.9494135793517107, c2=0.01157849122168346, score=0.683988 -   1.6s
[CV] c1=0.9850784039069544, c2=0.013811075301783278 ..................
[CV]  c1=0.9850784039069544, c2=0.013811075301783278, score=0.847933 -   1.6s
[CV] c1=0.35608129709215813, c2=0.039368801439238266 .................
[CV]  c1=0.35608129709215813, c2=0.039368801439238266, score=0.681062 -   1.2s
[CV] c1=0.5687871674680189, c2=0.09219860021121916 ...................
[CV]  c1=0.5687871674680189, c2=0.09219860021121916, score=0.868648 -   1.5s
[CV] c1=0.10384050257898088, c2=0.025045647816910644 .................
[CV]  c1=0.10384050257898088, c2=0.025045647816910644, score=0.695566 -   1.2s
[CV] c1=0.15901671200752643, c2=0.08567877491299358 ..................
[CV]  c1=0.15901671200752643, c2=0.08567877491299358, score=0.784885 -   1.6s
[CV] c1=0.7176276866619925, c2=0.02674514317266269 ...................
[CV]  c1=0.7176276866619925, c2=0.02674514317266269, score=0.659209 -   1.3s
[CV] c1=0.3341722141473799, c2=0.012154994915181764 ..................
[CV]  c1=0.3341722141473799, c2=0.012154994915181764, score=0.814363 -   1.6s
[CV] c1=0.4975814432178775, c2=0.09504239741064707 ...................
[CV]  c1=0.4975814432178775, c2=0.09504239741064707, score=0.663822 -   1.3s
[CV] c1=0.1780982265439882, c2=0.0049168163576965565 .................
[CV]  c1=0.1780982265439882, c2=0.0049168163576965565, score=0.896743 -   1.5s
[CV] c1=0.0417888516856897, c2=0.05896289697147146 ...................
[CV]  c1=0.0417888516856897, c2=0.05896289697147146, score=0.695940 -   0.9s
[CV] c1=0.07002019201482157, c2=0.04084697416262914 ..................
[CV]  c1=0.07002019201482157, c2=0.04084697416262914, score=0.787542 -   1.5s
[CV] c1=0.2913669366356478, c2=0.028771329215319687 ..................
[CV]  c1=0.2913669366356478, c2=0.028771329215319687, score=0.662061 -   1.2s
[CV] c1=0.3947910391655151, c2=0.05267130232718953 ...................
[CV]  c1=0.3947910391655151, c2=0.05267130232718953, score=0.872765 -   1.6s
[CV] c1=0.15620030990123313, c2=0.03903321817700139 ..................
[CV]  c1=0.15620030990123313, c2=0.03903321817700139, score=0.805410 -   1.5s
[CV] c1=1.4874439222971259, c2=0.01978410757347599 ...................
[CV]  c1=1.4874439222971259, c2=0.01978410757347599, score=0.568096 -   1.6s
[CV] c1=0.4883077719466978, c2=0.02090068732374874 ...................
[CV]  c1=0.4883077719466978, c2=0.02090068732374874, score=0.884704 -   1.5s
[CV] c1=0.2900263924295373, c2=0.008032430628395766 ..................
[CV]  c1=0.2900263924295373, c2=0.008032430628395766, score=0.700501 -   1.2s
[CV] c1=0.3591185608789903, c2=0.027546668446867498 ..................
[CV]  c1=0.3591185608789903, c2=0.027546668446867498, score=0.839195 -   1.5s
[CV] c1=2.279970024392646, c2=0.0005981089114258274 ..................
[CV]  c1=2.279970024392646, c2=0.0005981089114258274, score=0.608856 -   1.4s
[CV] c1=1.0926560020181106, c2=0.023899254984075108 ..................
[CV]  c1=1.0926560020181106, c2=0.023899254984075108, score=0.653475 -   1.6s
[CV] c1=0.0774602963736868, c2=0.034265196751726394 ..................
[CV]  c1=0.0774602963736868, c2=0.034265196751726394, score=0.678847 -   1.1s
[CV] c1=0.7584152191684216, c2=0.04648927533684474 ...................
[CV]  c1=0.7584152191684216, c2=0.04648927533684474, score=0.852319 -   1.6s
[CV] c1=1.6819248406527207, c2=0.05031930037119195 ...................
[CV]  c1=1.6819248406527207, c2=0.05031930037119195, score=0.603689 -   1.2s
[CV] c1=0.10346015477578065, c2=0.08486541083483379 ..................
[CV]  c1=0.10346015477578065, c2=0.08486541083483379, score=0.685339 -   1.3s
[CV] c1=0.2913669366356478, c2=0.028771329215319687 ..................
[CV]  c1=0.2913669366356478, c2=0.028771329215319687, score=0.843668 -   1.6s
[CV] c1=0.4894882363272065, c2=0.043858462122021956 ..................
[CV]  c1=0.4894882363272065, c2=0.043858462122021956, score=0.720505 -   1.5s
[CV] c1=0.32814911822336323, c2=0.013888889938404706 .................
[CV]  c1=0.32814911822336323, c2=0.013888889938404706, score=0.789819 -   1.5s
[CV] c1=0.11745253756202324, c2=0.01058228660579126 ..................
[CV]  c1=0.11745253756202324, c2=0.01058228660579126, score=0.801171 -   1.5s
[CV] c1=0.31238985455299734, c2=0.013698467371036166 .................
[CV]  c1=0.31238985455299734, c2=0.013698467371036166, score=0.838431 -   1.5s
[CV] c1=1.133426518342521, c2=0.042021737507984575 ...................
[CV]  c1=1.133426518342521, c2=0.042021737507984575, score=0.786486 -   1.5s
[CV] c1=0.8215376350798923, c2=0.14641423983037533 ...................
[CV]  c1=0.8215376350798923, c2=0.14641423983037533, score=0.640315 -   1.7s
[CV] c1=1.4344558831427277, c2=0.05882694363203387 ...................
[CV]  c1=1.4344558831427277, c2=0.05882694363203387, score=0.615739 -   1.5s
[CV] c1=0.3529225509777797, c2=0.04163342787178293 ...................
[CV]  c1=0.3529225509777797, c2=0.04163342787178293, score=0.817676 -   1.6s
[CV] c1=0.009763180928839868, c2=0.22720073035376998 .................
[CV]  c1=0.009763180928839868, c2=0.22720073035376998, score=0.788039 -   2.0s
[CV] c1=0.408709661792656, c2=0.03558124895069358 ....................
[CV]  c1=0.408709661792656, c2=0.03558124895069358, score=0.868667 -   1.1s
[CV] c1=0.6317950975886659, c2=0.02718740305518636 ...................
[CV]  c1=0.6317950975886659, c2=0.02718740305518636, score=0.778864 -   1.3s
[CV] c1=0.4357986039650929, c2=0.019507053023529654 ..................
[CV]  c1=0.4357986039650929, c2=0.019507053023529654, score=0.822201 -   1.4s
[CV] c1=0.04695664912560421, c2=0.08586263734760195 ..................
[CV]  c1=0.04695664912560421, c2=0.08586263734760195, score=0.852828 -   1.5s
[CV] c1=0.21913278085797164, c2=0.027231332908024375 .................
[CV]  c1=0.21913278085797164, c2=0.027231332908024375, score=0.844193 -   1.5s
[CV] c1=0.18447654708019526, c2=0.08876806194113329 ..................
[CV]  c1=0.18447654708019526, c2=0.08876806194113329, score=0.763885 -   1.7s
[CV] c1=1.581302198562341, c2=0.07225525486542318 ....................
[CV]  c1=1.581302198562341, c2=0.07225525486542318, score=0.610603 -   1.7s
[CV] c1=0.6663722603789696, c2=0.010978012566862962 ..................
[CV]  c1=0.6663722603789696, c2=0.010978012566862962, score=0.732721 -   1.6s
[CV] c1=1.1816436283110996, c2=0.017020913502225052 ..................
[CV]  c1=1.1816436283110996, c2=0.017020913502225052, score=0.789548 -   1.4s
[CV] c1=1.8574602546707168, c2=0.08719142733983697 ...................
[CV]  c1=1.8574602546707168, c2=0.08719142733983697, score=0.763410 -   1.4s
[CV] c1=0.3341722141473799, c2=0.012154994915181764 ..................
[CV]  c1=0.3341722141473799, c2=0.012154994915181764, score=0.880398 -   1.5s
[CV] c1=0.0774602963736868, c2=0.034265196751726394 ..................
[CV]  c1=0.0774602963736868, c2=0.034265196751726394, score=0.879681 -   1.5s
[CV] c1=0.1780982265439882, c2=0.0049168163576965565 .................
[CV]  c1=0.1780982265439882, c2=0.0049168163576965565, score=0.701987 -   1.2s
[CV] c1=1.6819248406527207, c2=0.05031930037119195 ...................
[CV]  c1=1.6819248406527207, c2=0.05031930037119195, score=0.556161 -   1.3s
[CV] c1=0.6317950975886659, c2=0.02718740305518636 ...................
[CV]  c1=0.6317950975886659, c2=0.02718740305518636, score=0.711746 -   1.4s
[CV] c1=0.12984691998146577, c2=0.0737292182911522 ...................
[CV]  c1=0.12984691998146577, c2=0.0737292182911522, score=0.697638 -   1.2s
[CV] c1=0.04695664912560421, c2=0.08586263734760195 ..................
[CV]  c1=0.04695664912560421, c2=0.08586263734760195, score=0.692050 -   1.3s
[CV] c1=0.7218709087298331, c2=0.056488103314003196 ..................
[CV]  c1=0.7218709087298331, c2=0.056488103314003196, score=0.843080 -   1.6s
[CV] c1=0.5457536854008066, c2=0.055564168492608035 ..................
[CV]  c1=0.5457536854008066, c2=0.055564168492608035, score=0.818954 -   1.4s
[CV] c1=0.03986369111030151, c2=0.003822962638501938 .................
[CV]  c1=0.03986369111030151, c2=0.003822962638501938, score=0.807229 -   1.5s
[CV] c1=1.2116272073706724, c2=0.005632434722115082 ..................
[CV]  c1=1.2116272073706724, c2=0.005632434722115082, score=0.652995 -   1.5s
[CV] c1=0.3553506707363763, c2=0.009806674586683224 ..................
[CV]  c1=0.3553506707363763, c2=0.009806674586683224, score=0.809139 -   1.6s
[CV] c1=0.4031696334645846, c2=0.006303603235800745 ..................
[CV]  c1=0.4031696334645846, c2=0.006303603235800745, score=0.883872 -   1.6s
[CV] c1=1.1788474532885123, c2=0.005112518162903923 ..................
[CV]  c1=1.1788474532885123, c2=0.005112518162903923, score=0.789548 -   1.5s
[CV] c1=1.2067057804251298, c2=0.1443847560592625 ....................
[CV]  c1=1.2067057804251298, c2=0.1443847560592625, score=0.738908 -   1.5s
[CV] c1=0.7584152191684216, c2=0.04648927533684474 ...................
[CV]  c1=0.7584152191684216, c2=0.04648927533684474, score=0.688011 -   1.5s
[CV] c1=0.408709661792656, c2=0.03558124895069358 ....................
[CV]  c1=0.408709661792656, c2=0.03558124895069358, score=0.758003 -   1.1s
[CV] c1=0.07002019201482157, c2=0.04084697416262914 ..................
[CV]  c1=0.07002019201482157, c2=0.04084697416262914, score=0.869718 -   1.5s
[CV] c1=0.9746357682461961, c2=0.03945208420639168 ...................
[CV]  c1=0.9746357682461961, c2=0.03945208420639168, score=0.632509 -   1.6s
[CV] c1=0.7011088927178207, c2=0.019514569506172176 ..................
[CV]  c1=0.7011088927178207, c2=0.019514569506172176, score=0.780423 -   1.6s
[CV] c1=0.32814911822336323, c2=0.013888889938404706 .................
[CV]  c1=0.32814911822336323, c2=0.013888889938404706, score=0.883468 -   1.5s
[CV] c1=0.11745253756202324, c2=0.01058228660579126 ..................
[CV]  c1=0.11745253756202324, c2=0.01058228660579126, score=0.685061 -   1.2s
[CV] c1=0.30378052853301285, c2=0.0032596553978256624 ................
[CV]  c1=0.30378052853301285, c2=0.0032596553978256624, score=0.813411 -   1.5s
[CV] c1=0.6663722603789696, c2=0.010978012566862962 ..................
[CV]  c1=0.6663722603789696, c2=0.010978012566862962, score=0.779966 -   1.5s
[CV] c1=1.1816436283110996, c2=0.017020913502225052 ..................
[CV]  c1=1.1816436283110996, c2=0.017020913502225052, score=0.576125 -   1.2s
[CV] c1=0.4031696334645846, c2=0.006303603235800745 ..................
[CV]  c1=0.4031696334645846, c2=0.006303603235800745, score=0.681062 -   1.2s
[CV] c1=0.06500512236150216, c2=0.12239145937658119 ..................
[CV]  c1=0.06500512236150216, c2=0.12239145937658119, score=0.875932 -   1.5s
[CV] c1=0.8048219994701323, c2=0.04613491749516657 ...................
[CV]  c1=0.8048219994701323, c2=0.04613491749516657, score=0.691675 -   1.9s
[CV] c1=1.096478046256978, c2=0.005591071847447476 ...................
[CV]  c1=1.096478046256978, c2=0.005591071847447476, score=0.784277 -   1.6s
[CV] c1=0.0417888516856897, c2=0.05896289697147146 ...................
[CV]  c1=0.0417888516856897, c2=0.05896289697147146, score=0.814820 -   1.1s
[CV] c1=0.1897106368535274, c2=0.028123509627636385 ..................
[CV]  c1=0.1897106368535274, c2=0.028123509627636385, score=0.888833 -   1.1s
[CV] c1=0.35491424461483434, c2=0.02409749789753768 ..................
[CV]  c1=0.35491424461483434, c2=0.02409749789753768, score=0.790954 -   1.6s
[CV] c1=0.4287693916578526, c2=0.015947498861769178 ..................
[CV]  c1=0.4287693916578526, c2=0.015947498861769178, score=0.789162 -   1.6s
[CV] c1=0.21913278085797164, c2=0.027231332908024375 .................
[CV]  c1=0.21913278085797164, c2=0.027231332908024375, score=0.664408 -   1.3s
[CV] c1=0.5457536854008066, c2=0.055564168492608035 ..................
[CV]  c1=0.5457536854008066, c2=0.055564168492608035, score=0.660982 -   1.4s
[CV] c1=0.35608129709215813, c2=0.039368801439238266 .................
[CV]  c1=0.35608129709215813, c2=0.039368801439238266, score=0.839738 -   1.7s
[CV] c1=1.2116272073706724, c2=0.005632434722115082 ..................
[CV]  c1=1.2116272073706724, c2=0.005632434722115082, score=0.751220 -   1.5s
[CV] c1=0.2246970246704248, c2=0.12832090603419388 ...................
[CV]  c1=0.2246970246704248, c2=0.12832090603419388, score=0.875551 -   1.6s
[CV] c1=0.4031696334645846, c2=0.006303603235800745 ..................
[CV]  c1=0.4031696334645846, c2=0.006303603235800745, score=0.780056 -   1.6s
[CV] c1=1.0926560020181106, c2=0.023899254984075108 ..................
[CV]  c1=1.0926560020181106, c2=0.023899254984075108, score=0.837737 -   1.6s
[CV] c1=0.6596046344599059, c2=0.021611155686538867 ..................
[CV]  c1=0.6596046344599059, c2=0.021611155686538867, score=0.818775 -   1.4s
[CV] c1=1.096478046256978, c2=0.005591071847447476 ...................
[CV]  c1=1.096478046256978, c2=0.005591071847447476, score=0.660664 -   1.5s
[CV] c1=0.408709661792656, c2=0.03558124895069358 ....................
[CV]  c1=0.408709661792656, c2=0.03558124895069358, score=0.843668 -   1.2s
[CV] c1=0.09368984248727405, c2=0.0251062105575634 ...................
[CV]  c1=0.09368984248727405, c2=0.0251062105575634, score=0.882045 -   1.5s
[CV] c1=0.042617870096191654, c2=0.05664950753130907 .................
[CV]  c1=0.042617870096191654, c2=0.05664950753130907, score=0.810256 -   1.5s
[CV] c1=0.4894882363272065, c2=0.043858462122021956 ..................
[CV]  c1=0.4894882363272065, c2=0.043858462122021956, score=0.775730 -   1.6s
[CV] c1=0.48289016425990167, c2=0.019411742310328835 .................
[CV]  c1=0.48289016425990167, c2=0.019411742310328835, score=0.839575 -   1.4s
[CV] c1=0.27237893963509213, c2=0.03493380235000669 ..................
[CV]  c1=0.27237893963509213, c2=0.03493380235000669, score=0.675533 -   1.2s
[CV] c1=0.31238985455299734, c2=0.013698467371036166 .................
[CV]  c1=0.31238985455299734, c2=0.013698467371036166, score=0.696174 -   1.2s
[CV] c1=0.2900263924295373, c2=0.008032430628395766 ..................
[CV]  c1=0.2900263924295373, c2=0.008032430628395766, score=0.889407 -   1.5s
[CV] c1=1.1816436283110996, c2=0.017020913502225052 ..................
[CV]  c1=1.1816436283110996, c2=0.017020913502225052, score=0.586582 -   1.6s
[CV] c1=0.8241935715158306, c2=0.0683023163201573 ....................
[CV]  c1=0.8241935715158306, c2=0.0683023163201573, score=0.687527 -   1.5s
[CV] c1=0.27762345108166386, c2=0.035414184693736736 .................
[CV]  c1=0.27762345108166386, c2=0.035414184693736736, score=0.692560 -   1.4s
[CV] c1=0.4975814432178775, c2=0.09504239741064707 ...................
[CV]  c1=0.4975814432178775, c2=0.09504239741064707, score=0.873253 -   1.5s
[CV] c1=0.8733957694832588, c2=0.04072706731786214 ...................
[CV]  c1=0.8733957694832588, c2=0.04072706731786214, score=0.615652 -   1.3s
[CV] c1=0.408709661792656, c2=0.03558124895069358 ....................
[CV]  c1=0.408709661792656, c2=0.03558124895069358, score=0.815131 -   1.2s
[CV] c1=0.09368984248727405, c2=0.0251062105575634 ...................
[CV]  c1=0.09368984248727405, c2=0.0251062105575634, score=0.811813 -   1.6s
[CV] c1=0.5452331803350856, c2=0.06716657134695188 ...................
[CV]  c1=0.5452331803350856, c2=0.06716657134695188, score=0.864615 -   1.5s
[CV] c1=0.9494135793517107, c2=0.01157849122168346 ...................
[CV]  c1=0.9494135793517107, c2=0.01157849122168346, score=0.841106 -   1.5s
[CV] c1=0.48289016425990167, c2=0.019411742310328835 .................
[CV]  c1=0.48289016425990167, c2=0.019411742310328835, score=0.680313 -   1.2s
[CV] c1=0.3853642873457063, c2=0.006553983908683701 ..................
[CV]  c1=0.3853642873457063, c2=0.006553983908683701, score=0.808778 -   1.5s
[CV] c1=0.31238985455299734, c2=0.013698467371036166 .................
[CV]  c1=0.31238985455299734, c2=0.013698467371036166, score=0.889407 -   1.5s
[CV] c1=1.133426518342521, c2=0.042021737507984575 ...................
[CV]  c1=1.133426518342521, c2=0.042021737507984575, score=0.840861 -   1.4s
[CV] c1=0.8215376350798923, c2=0.14641423983037533 ...................
[CV]  c1=0.8215376350798923, c2=0.14641423983037533, score=0.840665 -   1.5s
[CV] c1=0.7176276866619925, c2=0.02674514317266269 ...................
[CV]  c1=0.7176276866619925, c2=0.02674514317266269, score=0.863877 -   1.5s
[CV] c1=0.2916036077372858, c2=0.04112326580157005 ...................
[CV]  c1=0.2916036077372858, c2=0.04112326580157005, score=0.691301 -   1.2s
[CV] c1=0.0774602963736868, c2=0.034265196751726394 ..................
[CV]  c1=0.0774602963736868, c2=0.034265196751726394, score=0.807566 -   1.5s
[CV] c1=0.1780982265439882, c2=0.0049168163576965565 .................
[CV]  c1=0.1780982265439882, c2=0.0049168163576965565, score=0.806584 -   1.4s
[CV] c1=0.0417888516856897, c2=0.05896289697147146 ...................
[CV]  c1=0.0417888516856897, c2=0.05896289697147146, score=0.881587 -   1.1s
[CV] c1=0.4786490054304202, c2=0.04997525133978265 ...................
[CV]  c1=0.4786490054304202, c2=0.04997525133978265, score=0.663822 -   0.9s
[CV] c1=0.35491424461483434, c2=0.02409749789753768 ..................
[CV]  c1=0.35491424461483434, c2=0.02409749789753768, score=0.837316 -   1.5s
[CV] c1=0.4287693916578526, c2=0.015947498861769178 ..................
[CV]  c1=0.4287693916578526, c2=0.015947498861769178, score=0.762864 -   1.6s
[CV] c1=0.21913278085797164, c2=0.027231332908024375 .................
[CV]  c1=0.21913278085797164, c2=0.027231332908024375, score=0.881577 -   1.6s
[CV] c1=0.18447654708019526, c2=0.08876806194113329 ..................
[CV]  c1=0.18447654708019526, c2=0.08876806194113329, score=0.847674 -   1.4s
[CV] c1=0.4722680398127066, c2=0.14327988439101313 ...................
[CV]  c1=0.4722680398127066, c2=0.14327988439101313, score=0.859448 -   1.5s
[CV] c1=0.12769192015733927, c2=9.146835014134972e-05 ................
[CV]  c1=0.12769192015733927, c2=9.146835014134972e-05, score=0.795777 -   1.6s
[CV] c1=0.2246970246704248, c2=0.12832090603419388 ...................
[CV]  c1=0.2246970246704248, c2=0.12832090603419388, score=0.829846 -   1.7s
[CV] c1=2.279970024392646, c2=0.0005981089114258274 ..................
[CV]  c1=2.279970024392646, c2=0.0005981089114258274, score=0.542571 -   1.6s
[CV] c1=0.3341722141473799, c2=0.012154994915181764 ..................
[CV]  c1=0.3341722141473799, c2=0.012154994915181764, score=0.823049 -   1.5s
[CV] c1=0.0774602963736868, c2=0.034265196751726394 ..................
[CV]  c1=0.0774602963736868, c2=0.034265196751726394, score=0.789506 -   1.5s
[CV] c1=0.1780982265439882, c2=0.0049168163576965565 .................
[CV]  c1=0.1780982265439882, c2=0.0049168163576965565, score=0.802982 -   1.5s
[CV] c1=0.0417888516856897, c2=0.05896289697147146 ...................
[CV]  c1=0.0417888516856897, c2=0.05896289697147146, score=0.852828 -   1.1s
Training done in: 21.381073s
     Saving training model...
        Saving training model done in: 0.013585s
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Prediction done in: 0.035599s