-------------------------------- 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: Run1
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: FalseS4: False
Run variant: 13
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: 0.003719s
-------------------------------- 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
--------------------------- FeaturesTest -----------------------------
           0           1
0      lemma  delta-arca
1     postag          NN
2   -1:lemma           _
3  -1:postag          NN
4   +1:lemma           _
5  +1:postag          CD
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.4362882755461965, c2=0.07348649615104257 ...................
[CV]  c1=0.4362882755461965, c2=0.07348649615104257, score=0.654048 -   0.8s
[CV] c1=0.9799271819591984, c2=0.011714114569726422 ..................
[CV]  c1=0.9799271819591984, c2=0.011714114569726422, score=0.636661 -   1.0s
[CV] c1=0.7551899832629215, c2=0.011563204646513836 ..................
[CV]  c1=0.7551899832629215, c2=0.011563204646513836, score=0.751511 -   1.1s
[CV] c1=1.493195115786258, c2=0.12044535448786818 ....................
[CV]  c1=1.493195115786258, c2=0.12044535448786818, score=0.605137 -   1.1s
[CV] c1=0.77866494181764, c2=0.11133507553898421 .....................
[CV]  c1=0.77866494181764, c2=0.11133507553898421, score=0.745036 -   1.0s
[CV] c1=0.043802274379697234, c2=0.026565471192349623 ................
[CV]  c1=0.043802274379697234, c2=0.026565471192349623, score=0.899689 -   1.1s
[CV] c1=0.15179467683940245, c2=0.23492774042499887 ..................
[CV]  c1=0.15179467683940245, c2=0.23492774042499887, score=0.652759 -   1.0s
[CV] c1=1.9512374788519966, c2=0.012670017781901436 ..................
[CV]  c1=1.9512374788519966, c2=0.012670017781901436, score=0.580760 -   1.1s
[CV] c1=0.5474829353106915, c2=0.011471692118133904 ..................
[CV]  c1=0.5474829353106915, c2=0.011471692118133904, score=0.830027 -   1.0s
[CV] c1=0.6824212061139323, c2=0.01946961765571599 ...................
[CV]  c1=0.6824212061139323, c2=0.01946961765571599, score=0.775559 -   1.1s
[CV] c1=0.8470802107069724, c2=0.02634588694704015 ...................
[CV]  c1=0.8470802107069724, c2=0.02634588694704015, score=0.745036 -   1.1s
[CV] c1=0.6840913362368842, c2=0.03565340877709582 ...................
[CV]  c1=0.6840913362368842, c2=0.03565340877709582, score=0.695971 -   1.1s
[CV] c1=1.3337072486119361, c2=0.07950537940459657 ...................
[CV]  c1=1.3337072486119361, c2=0.07950537940459657, score=0.607006 -   1.1s
[CV] c1=0.9799271819591984, c2=0.011714114569726422 ..................
[CV]  c1=0.9799271819591984, c2=0.011714114569726422, score=0.718789 -   1.0s
[CV] c1=0.7392502423341978, c2=0.0017672398924334966 .................
[CV]  c1=0.7392502423341978, c2=0.0017672398924334966, score=0.750577 -   1.2s
[CV] c1=1.493195115786258, c2=0.12044535448786818 ....................
[CV]  c1=1.493195115786258, c2=0.12044535448786818, score=0.549783 -   1.2s
[CV] c1=0.7985739573740684, c2=0.010068844262321625 ..................
[CV]  c1=0.7985739573740684, c2=0.010068844262321625, score=0.751511 -   1.1s
[CV] c1=0.09849791866799963, c2=0.07936133618461311 ..................
[CV]  c1=0.09849791866799963, c2=0.07936133618461311, score=0.664245 -   0.9s
[CV] c1=0.15179467683940245, c2=0.23492774042499887 ..................
[CV]  c1=0.15179467683940245, c2=0.23492774042499887, score=0.768728 -   1.2s
[CV] c1=0.05030857873008258, c2=0.035754470328303194 .................
[CV]  c1=0.05030857873008258, c2=0.035754470328303194, score=0.830028 -   1.1s
[CV] c1=0.5664117921518823, c2=0.096464464577714 .....................
[CV]  c1=0.5664117921518823, c2=0.096464464577714, score=0.642515 -   0.9s
[CV] c1=0.07548087268980254, c2=0.04076739952510902 ..................
[CV]  c1=0.07548087268980254, c2=0.04076739952510902, score=0.672593 -   0.9s
[CV] c1=0.7647401437330664, c2=0.03064267308862378 ...................
[CV]  c1=0.7647401437330664, c2=0.03064267308862378, score=0.825310 -   1.2s
[CV] c1=0.19578568180441216, c2=0.012737291623923511 .................
[CV]  c1=0.19578568180441216, c2=0.012737291623923511, score=0.803234 -   1.1s
[CV] c1=1.3337072486119361, c2=0.07950537940459657 ...................
[CV]  c1=1.3337072486119361, c2=0.07950537940459657, score=0.557690 -   1.1s
[CV] c1=0.9799271819591984, c2=0.011714114569726422 ..................
[CV]  c1=0.9799271819591984, c2=0.011714114569726422, score=0.664556 -   1.1s
[CV] c1=0.7551899832629215, c2=0.011563204646513836 ..................
[CV]  c1=0.7551899832629215, c2=0.011563204646513836, score=0.842528 -   1.1s
[CV] c1=1.493195115786258, c2=0.12044535448786818 ....................
[CV]  c1=1.493195115786258, c2=0.12044535448786818, score=0.512140 -   0.8s
[CV] c1=1.0815384394711745, c2=0.002656500621296976 ..................
[CV]  c1=1.0815384394711745, c2=0.002656500621296976, score=0.621244 -   1.0s
[CV] c1=0.03969635065888768, c2=0.10409266724479077 ..................
[CV]  c1=0.03969635065888768, c2=0.10409266724479077, score=0.813821 -   1.1s
[CV] c1=1.2801943672811311, c2=0.04411893416662903 ...................
[CV]  c1=1.2801943672811311, c2=0.04411893416662903, score=0.793697 -   1.1s
[CV] c1=0.41879648853777046, c2=0.03625039674835494 ..................
[CV]  c1=0.41879648853777046, c2=0.03625039674835494, score=0.832488 -   1.1s
[CV] c1=0.5474829353106915, c2=0.011471692118133904 ..................
[CV]  c1=0.5474829353106915, c2=0.011471692118133904, score=0.859272 -   1.1s
[CV] c1=0.6824212061139323, c2=0.01946961765571599 ...................
[CV]  c1=0.6824212061139323, c2=0.01946961765571599, score=0.698679 -   1.1s
[CV] c1=0.8470802107069724, c2=0.02634588694704015 ...................
[CV]  c1=0.8470802107069724, c2=0.02634588694704015, score=0.825310 -   1.1s
[CV] c1=0.6840913362368842, c2=0.03565340877709582 ...................
[CV]  c1=0.6840913362368842, c2=0.03565340877709582, score=0.833119 -   1.1s
[CV] c1=0.42163728823360747, c2=0.1378481298532761 ...................
[CV]  c1=0.42163728823360747, c2=0.1378481298532761, score=0.780785 -   1.1s
[CV] c1=0.10837617773971947, c2=0.05561818605106359 ..................
[CV]  c1=0.10837617773971947, c2=0.05561818605106359, score=0.810732 -   1.1s
[CV] c1=0.7392502423341978, c2=0.0017672398924334966 .................
[CV]  c1=0.7392502423341978, c2=0.0017672398924334966, score=0.678025 -   0.9s
[CV] c1=0.6096724646163806, c2=0.06782614398987494 ...................
[CV]  c1=0.6096724646163806, c2=0.06782614398987494, score=0.772227 -   1.2s
[CV] c1=0.8527515303147669, c2=0.010510107172109588 ..................
[CV]  c1=0.8527515303147669, c2=0.010510107172109588, score=0.826555 -   1.1s
[CV] c1=0.6512381289645105, c2=0.01322824931699415 ...................
[CV]  c1=0.6512381289645105, c2=0.01322824931699415, score=0.802679 -   1.0s
[CV] c1=0.5898532395313596, c2=0.11388600054644188 ...................
[CV]  c1=0.5898532395313596, c2=0.11388600054644188, score=0.682748 -   1.1s
[CV] c1=1.9512374788519966, c2=0.012670017781901436 ..................
[CV]  c1=1.9512374788519966, c2=0.012670017781901436, score=0.514591 -   1.2s
[CV] c1=0.4273521208524577, c2=0.03645033339088513 ...................
[CV]  c1=0.4273521208524577, c2=0.03645033339088513, score=0.662841 -   1.0s
[CV] c1=0.07548087268980254, c2=0.04076739952510902 ..................
[CV]  c1=0.07548087268980254, c2=0.04076739952510902, score=0.766899 -   1.2s
[CV] c1=0.07615981738633507, c2=0.004790353920378798 .................
[CV]  c1=0.07615981738633507, c2=0.004790353920378798, score=0.890617 -   1.1s
[CV] c1=2.969567985112396, c2=0.06424114172261204 ....................
[CV]  c1=2.969567985112396, c2=0.06424114172261204, score=0.322366 -   0.9s
[CV] c1=0.614079047136926, c2=0.0071614769334473714 ..................
[CV]  c1=0.614079047136926, c2=0.0071614769334473714, score=0.854660 -   1.0s
[CV] c1=0.16487650251702668, c2=0.07308728081694545 ..................
[CV]  c1=0.16487650251702668, c2=0.07308728081694545, score=0.878639 -   1.1s
[CV] c1=0.7551899832629215, c2=0.011563204646513836 ..................
[CV]  c1=0.7551899832629215, c2=0.011563204646513836, score=0.685290 -   1.1s
[CV] c1=1.363495869934817, c2=0.09761027311255885 ....................
[CV]  c1=1.363495869934817, c2=0.09761027311255885, score=0.603372 -   1.1s
[CV] c1=0.7985739573740684, c2=0.010068844262321625 ..................
[CV]  c1=0.7985739573740684, c2=0.010068844262321625, score=0.718348 -   1.1s
[CV] c1=0.09849791866799963, c2=0.07936133618461311 ..................
[CV]  c1=0.09849791866799963, c2=0.07936133618461311, score=0.884459 -   1.1s
[CV] c1=0.37316166256081024, c2=0.014472394024483526 .................
[CV]  c1=0.37316166256081024, c2=0.014472394024483526, score=0.774458 -   1.1s
[CV] c1=0.0486468018406265, c2=0.049114602988059 .....................
[CV]  c1=0.0486468018406265, c2=0.049114602988059, score=0.898137 -   1.1s
[CV] c1=0.35241709353245326, c2=0.07622289329960462 ..................
[CV]  c1=0.35241709353245326, c2=0.07622289329960462, score=0.659964 -   0.9s
[CV] c1=1.4210097920328295, c2=0.031758319727277315 ..................
[CV]  c1=1.4210097920328295, c2=0.031758319727277315, score=0.793101 -   1.0s
[CV] c1=0.5543779906646145, c2=0.00986360364738194 ...................
[CV]  c1=0.5543779906646145, c2=0.00986360364738194, score=0.873872 -   1.0s
[CV] c1=0.06437686734037372, c2=0.015411636781241739 .................
[CV]  c1=0.06437686734037372, c2=0.015411636781241739, score=0.897402 -   1.1s
[CV] c1=0.614079047136926, c2=0.0071614769334473714 ..................
[CV]  c1=0.614079047136926, c2=0.0071614769334473714, score=0.690704 -   0.9s
[CV] c1=0.9799271819591984, c2=0.011714114569726422 ..................
[CV]  c1=0.9799271819591984, c2=0.011714114569726422, score=0.824437 -   1.1s
[CV] c1=0.7392502423341978, c2=0.0017672398924334966 .................
[CV]  c1=0.7392502423341978, c2=0.0017672398924334966, score=0.701840 -   1.1s
[CV] c1=0.6365201742454027, c2=0.03120017337002656 ...................
[CV]  c1=0.6365201742454027, c2=0.03120017337002656, score=0.760278 -   1.1s
[CV] c1=0.77866494181764, c2=0.11133507553898421 .....................
[CV]  c1=0.77866494181764, c2=0.11133507553898421, score=0.660853 -   1.1s
[CV] c1=0.043802274379697234, c2=0.026565471192349623 ................
[CV]  c1=0.043802274379697234, c2=0.026565471192349623, score=0.817505 -   1.1s
[CV] c1=0.7918555786527192, c2=0.0200296805884215 ....................
[CV]  c1=0.7918555786527192, c2=0.0200296805884215, score=0.829072 -   1.1s
[CV] c1=0.05030857873008258, c2=0.035754470328303194 .................
[CV]  c1=0.05030857873008258, c2=0.035754470328303194, score=0.899689 -   1.1s
[CV] c1=0.4273521208524577, c2=0.03645033339088513 ...................
[CV]  c1=0.4273521208524577, c2=0.03645033339088513, score=0.829809 -   1.1s
[CV] c1=1.4210097920328295, c2=0.031758319727277315 ..................
[CV]  c1=1.4210097920328295, c2=0.031758319727277315, score=0.542899 -   1.1s
[CV] c1=0.07615981738633507, c2=0.004790353920378798 .................
[CV]  c1=0.07615981738633507, c2=0.004790353920378798, score=0.665404 -   0.9s
[CV] c1=0.6840913362368842, c2=0.03565340877709582 ...................
[CV]  c1=0.6840913362368842, c2=0.03565340877709582, score=0.766619 -   1.1s
[CV] c1=0.08070512725038369, c2=0.16614259961819555 ..................
[CV]  c1=0.08070512725038369, c2=0.16614259961819555, score=0.753309 -   1.2s
[CV] c1=0.46122596800282994, c2=0.021569741172036465 .................
[CV]  c1=0.46122596800282994, c2=0.021569741172036465, score=0.868490 -   1.0s
[CV] c1=0.1283312011601915, c2=0.024464456141811603 ..................
[CV]  c1=0.1283312011601915, c2=0.024464456141811603, score=0.668467 -   0.9s
[CV] c1=0.00084178893321496, c2=0.02569494717099116 ..................
[CV]  c1=0.00084178893321496, c2=0.02569494717099116, score=0.703842 -   0.9s
[CV] c1=0.22123862123548027, c2=0.10553868372430071 ..................
[CV]  c1=0.22123862123548027, c2=0.10553868372430071, score=0.870507 -   1.1s
[CV] c1=0.09849791866799963, c2=0.07936133618461311 ..................
[CV]  c1=0.09849791866799963, c2=0.07936133618461311, score=0.775722 -   1.1s
[CV] c1=0.5134213529313475, c2=0.07331955692239649 ...................
[CV]  c1=0.5134213529313475, c2=0.07331955692239649, score=0.835989 -   1.1s
[CV] c1=0.0486468018406265, c2=0.049114602988059 .....................
[CV]  c1=0.0486468018406265, c2=0.049114602988059, score=0.820474 -   1.1s
[CV] c1=0.35241709353245326, c2=0.07622289329960462 ..................
[CV]  c1=0.35241709353245326, c2=0.07622289329960462, score=0.717550 -   1.2s
[CV] c1=0.4520585815678241, c2=0.08449648700670592 ...................
[CV]  c1=0.4520585815678241, c2=0.08449648700670592, score=0.841327 -   1.1s
[CV] c1=0.6090705793412249, c2=0.13279947703467318 ...................
[CV]  c1=0.6090705793412249, c2=0.13279947703467318, score=0.700197 -   1.0s
[CV] c1=1.0594908829230996, c2=0.01353427803177659 ...................
[CV]  c1=1.0594908829230996, c2=0.01353427803177659, score=0.621244 -   0.8s
[CV] c1=0.17417699540334605, c2=0.02465625355715445 ..................
[CV]  c1=0.17417699540334605, c2=0.02465625355715445, score=0.672408 -   0.9s
[CV] c1=0.10837617773971947, c2=0.05561818605106359 ..................
[CV]  c1=0.10837617773971947, c2=0.05561818605106359, score=0.882573 -   1.1s
[CV] c1=0.5169257160581356, c2=0.040074222463448356 ..................
[CV]  c1=0.5169257160581356, c2=0.040074222463448356, score=0.769215 -   1.1s
[CV] c1=0.23882380642474374, c2=0.11276309532747393 ..................
[CV]  c1=0.23882380642474374, c2=0.11276309532747393, score=0.790115 -   1.1s
[CV] c1=1.0815384394711745, c2=0.002656500621296976 ..................
[CV]  c1=1.0815384394711745, c2=0.002656500621296976, score=0.651669 -   1.1s
[CV] c1=0.6512381289645105, c2=0.01322824931699415 ...................
[CV]  c1=0.6512381289645105, c2=0.01322824931699415, score=0.834233 -   1.1s
[CV] c1=0.5898532395313596, c2=0.11388600054644188 ...................
[CV]  c1=0.5898532395313596, c2=0.11388600054644188, score=0.767005 -   1.1s
[CV] c1=0.07035349936733629, c2=0.009614232927992275 .................
[CV]  c1=0.07035349936733629, c2=0.009614232927992275, score=0.900248 -   1.0s
[CV] c1=0.07880211835159928, c2=0.04668368225251371 ..................
[CV]  c1=0.07880211835159928, c2=0.04668368225251371, score=0.897578 -   1.1s
[CV] c1=0.07548087268980254, c2=0.04076739952510902 ..................
[CV]  c1=0.07548087268980254, c2=0.04076739952510902, score=0.898137 -   1.1s
[CV] c1=0.8470802107069724, c2=0.02634588694704015 ...................
[CV]  c1=0.8470802107069724, c2=0.02634588694704015, score=0.685167 -   1.1s
[CV] c1=0.6840913362368842, c2=0.03565340877709582 ...................
[CV]  c1=0.6840913362368842, c2=0.03565340877709582, score=0.791575 -   1.1s
[CV] c1=0.4362882755461965, c2=0.07348649615104257 ...................
[CV]  c1=0.4362882755461965, c2=0.07348649615104257, score=0.777850 -   1.1s
[CV] c1=1.8313038209087744, c2=0.06586771944753546 ...................
[CV]  c1=1.8313038209087744, c2=0.06586771944753546, score=0.581440 -   1.1s
[CV] c1=0.28560023765845, c2=0.02824549926898011 .....................
[CV]  c1=0.28560023765845, c2=0.02824549926898011, score=0.794292 -   1.1s
[CV] c1=0.1563672444274629, c2=0.01843257565957365 ...................
[CV]  c1=0.1563672444274629, c2=0.01843257565957365, score=0.889133 -   1.1s
[CV] c1=0.16450236817415148, c2=0.015921824592528826 .................
[CV]  c1=0.16450236817415148, c2=0.015921824592528826, score=0.869262 -   1.1s
[CV] c1=0.9603492642087813, c2=0.0719573582109563 ....................
[CV]  c1=0.9603492642087813, c2=0.0719573582109563, score=0.581015 -   0.9s
[CV] c1=0.37316166256081024, c2=0.014472394024483526 .................
[CV]  c1=0.37316166256081024, c2=0.014472394024483526, score=0.812126 -   1.1s
[CV] c1=0.0486468018406265, c2=0.049114602988059 .....................
[CV]  c1=0.0486468018406265, c2=0.049114602988059, score=0.665732 -   0.8s
[CV] c1=0.07880211835159928, c2=0.04668368225251371 ..................
[CV]  c1=0.07880211835159928, c2=0.04668368225251371, score=0.766899 -   1.1s
[CV] c1=1.4210097920328295, c2=0.031758319727277315 ..................
[CV]  c1=1.4210097920328295, c2=0.031758319727277315, score=0.680967 -   1.1s
[CV] c1=0.5543779906646145, c2=0.00986360364738194 ...................
[CV]  c1=0.5543779906646145, c2=0.00986360364738194, score=0.827134 -   1.0s
[CV] c1=0.06437686734037372, c2=0.015411636781241739 .................
[CV]  c1=0.06437686734037372, c2=0.015411636781241739, score=0.830028 -   1.1s
[CV] c1=0.08070512725038369, c2=0.16614259961819555 ..................
[CV]  c1=0.08070512725038369, c2=0.16614259961819555, score=0.766656 -   1.2s
[CV] c1=0.46122596800282994, c2=0.021569741172036465 .................
[CV]  c1=0.46122596800282994, c2=0.021569741172036465, score=0.682186 -   0.9s
[CV] c1=0.28560023765845, c2=0.02824549926898011 .....................
[CV]  c1=0.28560023765845, c2=0.02824549926898011, score=0.882080 -   1.1s
[CV] c1=0.00084178893321496, c2=0.02569494717099116 ..................
[CV]  c1=0.00084178893321496, c2=0.02569494717099116, score=0.848607 -   1.0s
[CV] c1=0.023499693602799722, c2=0.0144118654639378 ..................
[CV]  c1=0.023499693602799722, c2=0.0144118654639378, score=0.847760 -   1.0s
[CV] c1=1.1989657480077733, c2=0.03377927737138253 ...................
[CV]  c1=1.1989657480077733, c2=0.03377927737138253, score=0.780586 -   1.1s
[CV] c1=0.5134213529313475, c2=0.07331955692239649 ...................
[CV]  c1=0.5134213529313475, c2=0.07331955692239649, score=0.652118 -   0.9s
[CV] c1=0.05030857873008258, c2=0.035754470328303194 .................
[CV]  c1=0.05030857873008258, c2=0.035754470328303194, score=0.776627 -   1.1s
[CV] c1=0.5664117921518823, c2=0.096464464577714 .....................
[CV]  c1=0.5664117921518823, c2=0.096464464577714, score=0.695971 -   1.1s
[CV] c1=0.2973802085665617, c2=0.07460548272743177 ...................
[CV]  c1=0.2973802085665617, c2=0.07460548272743177, score=0.746136 -   1.1s
[CV] c1=0.07615981738633507, c2=0.004790353920378798 .................
[CV]  c1=0.07615981738633507, c2=0.004790353920378798, score=0.770329 -   1.1s
[CV] c1=1.0993997237392759, c2=0.01975909552533796 ...................
[CV]  c1=1.0993997237392759, c2=0.01975909552533796, score=0.718789 -   0.9s
[CV] c1=1.3337072486119361, c2=0.07950537940459657 ...................
[CV]  c1=1.3337072486119361, c2=0.07950537940459657, score=0.522705 -   0.7s
[CV] c1=0.17176832079353213, c2=0.01563159789226653 ..................
[CV]  c1=0.17176832079353213, c2=0.01563159789226653, score=0.844272 -   1.0s
[CV] c1=0.46122596800282994, c2=0.021569741172036465 .................
[CV]  c1=0.46122596800282994, c2=0.021569741172036465, score=0.832488 -   1.0s
[CV] c1=0.1283312011601915, c2=0.024464456141811603 ..................
[CV]  c1=0.1283312011601915, c2=0.024464456141811603, score=0.844735 -   1.0s
[CV] c1=0.1563672444274629, c2=0.01843257565957365 ...................
[CV]  c1=0.1563672444274629, c2=0.01843257565957365, score=0.803566 -   1.1s
[CV] c1=0.16450236817415148, c2=0.015921824592528826 .................
[CV]  c1=0.16450236817415148, c2=0.015921824592528826, score=0.806818 -   1.1s
[CV] c1=0.8025268841737552, c2=0.05755876245393842 ...................
[CV]  c1=0.8025268841737552, c2=0.05755876245393842, score=0.607676 -   0.9s
[CV] c1=0.0012484793115256315, c2=0.05953277847371019 ................
[CV]  c1=0.0012484793115256315, c2=0.05953277847371019, score=0.896113 -   1.0s
[CV] c1=0.2591059587828192, c2=0.07406378160379672 ...................
[CV]  c1=0.2591059587828192, c2=0.07406378160379672, score=0.870801 -   1.1s
[CV] c1=0.30392331037980735, c2=0.007137234625431192 .................
[CV]  c1=0.30392331037980735, c2=0.007137234625431192, score=0.711149 -   0.9s
[CV] c1=0.2973802085665617, c2=0.07460548272743177 ...................
[CV]  c1=0.2973802085665617, c2=0.07460548272743177, score=0.804265 -   1.1s
[CV] c1=0.8520894301957259, c2=0.02945124435224298 ...................
[CV]  c1=0.8520894301957259, c2=0.02945124435224298, score=0.641212 -   0.8s
[CV] c1=0.06437686734037372, c2=0.015411636781241739 .................
[CV]  c1=0.06437686734037372, c2=0.015411636781241739, score=0.850049 -   1.1s
[CV] c1=0.7862437045205263, c2=0.028352249807511082 ..................
[CV]  c1=0.7862437045205263, c2=0.028352249807511082, score=0.663170 -   0.9s
[CV] c1=0.10837617773971947, c2=0.05561818605106359 ..................
[CV]  c1=0.10837617773971947, c2=0.05561818605106359, score=0.801994 -   1.1s
[CV] c1=0.18093212951156784, c2=0.047392223479283374 .................
[CV]  c1=0.18093212951156784, c2=0.047392223479283374, score=0.814904 -   1.0s
[CV] c1=0.23882380642474374, c2=0.11276309532747393 ..................
[CV]  c1=0.23882380642474374, c2=0.11276309532747393, score=0.746586 -   1.1s
[CV] c1=0.8527515303147669, c2=0.010510107172109588 ..................
[CV]  c1=0.8527515303147669, c2=0.010510107172109588, score=0.672197 -   0.9s
[CV] c1=0.03969635065888768, c2=0.10409266724479077 ..................
[CV]  c1=0.03969635065888768, c2=0.10409266724479077, score=0.811219 -   1.0s
[CV] c1=0.8025268841737552, c2=0.05755876245393842 ...................
[CV]  c1=0.8025268841737552, c2=0.05755876245393842, score=0.791575 -   1.0s
[CV] c1=0.4838411349026169, c2=0.005108593204549865 ..................
[CV]  c1=0.4838411349026169, c2=0.005108593204549865, score=0.696758 -   0.9s
[CV] c1=0.2591059587828192, c2=0.07406378160379672 ...................
[CV]  c1=0.2591059587828192, c2=0.07406378160379672, score=0.659964 -   0.9s
[CV] c1=0.5664117921518823, c2=0.096464464577714 .....................
[CV]  c1=0.5664117921518823, c2=0.096464464577714, score=0.772227 -   1.1s
[CV] c1=0.023479356149106883, c2=0.0010065616717003705 ...............
[CV]  c1=0.023479356149106883, c2=0.0010065616717003705, score=0.845737 -   1.0s
[CV] c1=0.8520894301957259, c2=0.02945124435224298 ...................
[CV]  c1=0.8520894301957259, c2=0.02945124435224298, score=0.685167 -   1.0s
[CV] c1=1.0993997237392759, c2=0.01975909552533796 ...................
[CV]  c1=1.0993997237392759, c2=0.01975909552533796, score=0.823442 -   1.0s
[CV] c1=0.08070512725038369, c2=0.16614259961819555 ..................
[CV]  c1=0.08070512725038369, c2=0.16614259961819555, score=0.864166 -   1.1s
[CV] c1=1.8313038209087744, c2=0.06586771944753546 ...................
[CV]  c1=1.8313038209087744, c2=0.06586771944753546, score=0.684790 -   1.1s
[CV] c1=0.28560023765845, c2=0.02824549926898011 .....................
[CV]  c1=0.28560023765845, c2=0.02824549926898011, score=0.785508 -   1.1s
[CV] c1=0.00084178893321496, c2=0.02569494717099116 ..................
[CV]  c1=0.00084178893321496, c2=0.02569494717099116, score=0.805516 -   1.1s
[CV] c1=0.16450236817415148, c2=0.015921824592528826 .................
[CV]  c1=0.16450236817415148, c2=0.015921824592528826, score=0.811723 -   1.2s
[CV] c1=0.9603492642087813, c2=0.0719573582109563 ....................
[CV]  c1=0.9603492642087813, c2=0.0719573582109563, score=0.598175 -   1.1s
[CV] c1=0.0012484793115256315, c2=0.05953277847371019 ................
[CV]  c1=0.0012484793115256315, c2=0.05953277847371019, score=0.800977 -   1.1s
[CV] c1=0.14767593841614263, c2=0.0005967385589712515 ................
[CV]  c1=0.14767593841614263, c2=0.0005967385589712515, score=0.697587 -   0.8s
[CV] c1=0.30392331037980735, c2=0.007137234625431192 .................
[CV]  c1=0.30392331037980735, c2=0.007137234625431192, score=0.885314 -   1.1s
[CV] c1=0.4520585815678241, c2=0.08449648700670592 ...................
[CV]  c1=0.4520585815678241, c2=0.08449648700670592, score=0.654464 -   0.9s
[CV] c1=0.07615981738633507, c2=0.004790353920378798 .................
[CV]  c1=0.07615981738633507, c2=0.004790353920378798, score=0.848821 -   1.0s
[CV] c1=2.969567985112396, c2=0.06424114172261204 ....................
[CV]  c1=2.969567985112396, c2=0.06424114172261204, score=0.475522 -   1.0s
[CV] c1=0.08070512725038369, c2=0.16614259961819555 ..................
[CV]  c1=0.08070512725038369, c2=0.16614259961819555, score=0.664672 -   0.9s
[CV] c1=0.5229446346181292, c2=0.06027395845760663 ...................
[CV]  c1=0.5229446346181292, c2=0.06027395845760663, score=0.715371 -   1.1s
[CV] c1=0.21126935133900127, c2=0.02080263440281381 ..................
[CV]  c1=0.21126935133900127, c2=0.02080263440281381, score=0.874907 -   1.0s
[CV] c1=1.363495869934817, c2=0.09761027311255885 ....................
[CV]  c1=1.363495869934817, c2=0.09761027311255885, score=0.653189 -   1.0s
[CV] c1=0.7985739573740684, c2=0.010068844262321625 ..................
[CV]  c1=0.7985739573740684, c2=0.010068844262321625, score=0.685167 -   1.1s
[CV] c1=0.1841128904152996, c2=0.005882610613422059 ..................
[CV]  c1=0.1841128904152996, c2=0.005882610613422059, score=0.821386 -   1.1s
[CV] c1=0.37316166256081024, c2=0.014472394024483526 .................
[CV]  c1=0.37316166256081024, c2=0.014472394024483526, score=0.879613 -   1.1s
[CV] c1=0.44901119677119355, c2=0.008188883404018493 .................
[CV]  c1=0.44901119677119355, c2=0.008188883404018493, score=0.875003 -   1.1s
[CV] c1=0.5664117921518823, c2=0.096464464577714 .....................
[CV]  c1=0.5664117921518823, c2=0.096464464577714, score=0.829717 -   1.1s
[CV] c1=0.2973802085665617, c2=0.07460548272743177 ...................
[CV]  c1=0.2973802085665617, c2=0.07460548272743177, score=0.869599 -   1.1s
[CV] c1=0.5543779906646145, c2=0.00986360364738194 ...................
[CV]  c1=0.5543779906646145, c2=0.00986360364738194, score=0.778595 -   1.1s
[CV] c1=2.969567985112396, c2=0.06424114172261204 ....................
[CV]  c1=2.969567985112396, c2=0.06424114172261204, score=0.517380 -   1.1s
[CV] c1=0.08070512725038369, c2=0.16614259961819555 ..................
[CV]  c1=0.08070512725038369, c2=0.16614259961819555, score=0.800506 -   1.1s
[CV] c1=1.8313038209087744, c2=0.06586771944753546 ...................
[CV]  c1=1.8313038209087744, c2=0.06586771944753546, score=0.570373 -   1.1s
[CV] c1=0.28560023765845, c2=0.02824549926898011 .....................
[CV]  c1=0.28560023765845, c2=0.02824549926898011, score=0.837696 -   1.1s
[CV] c1=0.00084178893321496, c2=0.02569494717099116 ..................
[CV]  c1=0.00084178893321496, c2=0.02569494717099116, score=0.824158 -   1.1s
[CV] c1=0.023499693602799722, c2=0.0144118654639378 ..................
[CV]  c1=0.023499693602799722, c2=0.0144118654639378, score=0.776627 -   1.1s
[CV] c1=0.9603492642087813, c2=0.0719573582109563 ....................
[CV]  c1=0.9603492642087813, c2=0.0719573582109563, score=0.817442 -   1.1s
[CV] c1=0.0012484793115256315, c2=0.05953277847371019 ................
[CV]  c1=0.0012484793115256315, c2=0.05953277847371019, score=0.678405 -   0.9s
[CV] c1=0.44901119677119355, c2=0.008188883404018493 .................
[CV]  c1=0.44901119677119355, c2=0.008188883404018493, score=0.780550 -   1.2s
[CV] c1=0.35241709353245326, c2=0.07622289329960462 ..................
[CV]  c1=0.35241709353245326, c2=0.07622289329960462, score=0.783349 -   1.1s
[CV] c1=0.4520585815678241, c2=0.08449648700670592 ...................
[CV]  c1=0.4520585815678241, c2=0.08449648700670592, score=0.715371 -   1.1s
[CV] c1=0.14007205972001874, c2=0.020722806977780187 .................
[CV]  c1=0.14007205972001874, c2=0.020722806977780187, score=0.871533 -   1.1s
[CV] c1=0.04274046604988626, c2=0.025834628123113348 .................
[CV]  c1=0.04274046604988626, c2=0.025834628123113348, score=0.667039 -   0.8s
[CV] c1=1.3337072486119361, c2=0.07950537940459657 ...................
[CV]  c1=1.3337072486119361, c2=0.07950537940459657, score=0.653189 -   1.0s
[CV] c1=0.10837617773971947, c2=0.05561818605106359 ..................
[CV]  c1=0.10837617773971947, c2=0.05561818605106359, score=0.773043 -   1.1s
[CV] c1=0.7392502423341978, c2=0.0017672398924334966 .................
[CV]  c1=0.7392502423341978, c2=0.0017672398924334966, score=0.802816 -   1.0s
[CV] c1=0.6365201742454027, c2=0.03120017337002656 ...................
[CV]  c1=0.6365201742454027, c2=0.03120017337002656, score=0.707078 -   1.1s
[CV] c1=0.8527515303147669, c2=0.010510107172109588 ..................
[CV]  c1=0.8527515303147669, c2=0.010510107172109588, score=0.638345 -   1.2s
[CV] c1=0.043802274379697234, c2=0.026565471192349623 ................
[CV]  c1=0.043802274379697234, c2=0.026565471192349623, score=0.770483 -   1.1s
[CV] c1=0.7918555786527192, c2=0.0200296805884215 ....................
[CV]  c1=0.7918555786527192, c2=0.0200296805884215, score=0.685167 -   1.1s
[CV] c1=0.05030857873008258, c2=0.035754470328303194 .................
[CV]  c1=0.05030857873008258, c2=0.035754470328303194, score=0.822728 -   1.1s
[CV] c1=0.4273521208524577, c2=0.03645033339088513 ...................
[CV]  c1=0.4273521208524577, c2=0.03645033339088513, score=0.787664 -   1.2s
[CV] c1=0.023479356149106883, c2=0.0010065616717003705 ...............
[CV]  c1=0.023479356149106883, c2=0.0010065616717003705, score=0.728276 -   0.9s
[CV] c1=0.5543779906646145, c2=0.00986360364738194 ...................
[CV]  c1=0.5543779906646145, c2=0.00986360364738194, score=0.717615 -   1.1s
[CV] c1=2.969567985112396, c2=0.06424114172261204 ....................
[CV]  c1=2.969567985112396, c2=0.06424114172261204, score=0.600692 -   1.1s
[CV] c1=0.17417699540334605, c2=0.02465625355715445 ..................
[CV]  c1=0.17417699540334605, c2=0.02465625355715445, score=0.803566 -   1.1s
[CV] c1=0.16487650251702668, c2=0.07308728081694545 ..................
[CV]  c1=0.16487650251702668, c2=0.07308728081694545, score=0.803909 -   1.0s
[CV] c1=0.7551899832629215, c2=0.011563204646513836 ..................
[CV]  c1=0.7551899832629215, c2=0.011563204646513836, score=0.676101 -   0.9s
[CV] c1=0.23882380642474374, c2=0.11276309532747393 ..................
[CV]  c1=0.23882380642474374, c2=0.11276309532747393, score=0.659964 -   0.8s
[CV] c1=0.05981179280460644, c2=0.04650344454406657 ..................
[CV]  c1=0.05981179280460644, c2=0.04650344454406657, score=0.897578 -   1.1s
[CV] c1=0.03969635065888768, c2=0.10409266724479077 ..................
[CV]  c1=0.03969635065888768, c2=0.10409266724479077, score=0.899464 -   1.1s
[CV] c1=0.8025268841737552, c2=0.05755876245393842 ...................
[CV]  c1=0.8025268841737552, c2=0.05755876245393842, score=0.664556 -   1.1s
[CV] c1=0.41879648853777046, c2=0.03625039674835494 ..................
[CV]  c1=0.41879648853777046, c2=0.03625039674835494, score=0.863453 -   1.1s
[CV] c1=0.540612909509479, c2=0.10458376701813653 ....................
[CV]  c1=0.540612909509479, c2=0.10458376701813653, score=0.695971 -   1.1s
[CV] c1=0.3855205976279322, c2=0.04924984861325685 ...................
[CV]  c1=0.3855205976279322, c2=0.04924984861325685, score=0.737247 -   1.2s
[CV] c1=0.5327629214223283, c2=0.03664250885159377 ...................
[CV]  c1=0.5327629214223283, c2=0.03664250885159377, score=0.769215 -   1.1s
[CV] c1=0.19578568180441216, c2=0.012737291623923511 .................
[CV]  c1=0.19578568180441216, c2=0.012737291623923511, score=0.803814 -   1.1s
[CV] c1=1.3337072486119361, c2=0.07950537940459657 ...................
[CV]  c1=1.3337072486119361, c2=0.07950537940459657, score=0.781098 -   0.9s
[CV] c1=0.15938617826906568, c2=0.03896001013358366 ..................
[CV]  c1=0.15938617826906568, c2=0.03896001013358366, score=0.664245 -   0.9s
[CV] c1=0.46122596800282994, c2=0.021569741172036465 .................
[CV]  c1=0.46122596800282994, c2=0.021569741172036465, score=0.738865 -   1.1s
[CV] c1=0.1283312011601915, c2=0.024464456141811603 ..................
[CV]  c1=0.1283312011601915, c2=0.024464456141811603, score=0.772915 -   1.1s
[CV] c1=0.05981179280460644, c2=0.04650344454406657 ..................
[CV]  c1=0.05981179280460644, c2=0.04650344454406657, score=0.666021 -   0.9s
[CV] c1=0.16450236817415148, c2=0.015921824592528826 .................
[CV]  c1=0.16450236817415148, c2=0.015921824592528826, score=0.658514 -   0.9s
[CV] c1=1.1989657480077733, c2=0.03377927737138253 ...................
[CV]  c1=1.1989657480077733, c2=0.03377927737138253, score=0.583352 -   0.9s
[CV] c1=0.7918555786527192, c2=0.0200296805884215 ....................
[CV]  c1=0.7918555786527192, c2=0.0200296805884215, score=0.685290 -   1.1s
[CV] c1=0.44901119677119355, c2=0.008188883404018493 .................
[CV]  c1=0.44901119677119355, c2=0.008188883404018493, score=0.759287 -   1.1s
[CV] c1=0.35241709353245326, c2=0.07622289329960462 ..................
[CV]  c1=0.35241709353245326, c2=0.07622289329960462, score=0.860632 -   1.1s
[CV] c1=0.023479356149106883, c2=0.0010065616717003705 ...............
[CV]  c1=0.023479356149106883, c2=0.0010065616717003705, score=0.886750 -   1.1s
[CV] c1=0.8520894301957259, c2=0.02945124435224298 ...................
[CV]  c1=0.8520894301957259, c2=0.02945124435224298, score=0.833119 -   1.1s
[CV] c1=1.0993997237392759, c2=0.01975909552533796 ...................
[CV]  c1=1.0993997237392759, c2=0.01975909552533796, score=0.664556 -   1.0s
[CV] c1=0.7994966004860042, c2=0.028452763637411033 ..................
[CV]  c1=0.7994966004860042, c2=0.028452763637411033, score=0.835905 -   0.8s
[CV] c1=0.17176832079353213, c2=0.01563159789226653 ..................
[CV]  c1=0.17176832079353213, c2=0.01563159789226653, score=0.797276 -   1.2s
[CV] c1=0.46122596800282994, c2=0.021569741172036465 .................
[CV]  c1=0.46122596800282994, c2=0.021569741172036465, score=0.784739 -   1.1s
[CV] c1=0.6096724646163806, c2=0.06782614398987494 ...................
[CV]  c1=0.6096724646163806, c2=0.06782614398987494, score=0.695971 -   1.2s
[CV] c1=1.0815384394711745, c2=0.002656500621296976 ..................
[CV]  c1=1.0815384394711745, c2=0.002656500621296976, score=0.833006 -   1.2s
[CV] c1=0.8600533003352069, c2=0.01764857583700827 ...................
[CV]  c1=0.8600533003352069, c2=0.01764857583700827, score=0.785100 -   1.1s
[CV] c1=0.5898532395313596, c2=0.11388600054644188 ...................
[CV]  c1=0.5898532395313596, c2=0.11388600054644188, score=0.706866 -   1.1s
[CV] c1=0.07035349936733629, c2=0.009614232927992275 .................
[CV]  c1=0.07035349936733629, c2=0.009614232927992275, score=0.825876 -   1.1s
[CV] c1=0.07880211835159928, c2=0.04668368225251371 ..................
[CV]  c1=0.07880211835159928, c2=0.04668368225251371, score=0.813456 -   1.1s
[CV] c1=1.4210097920328295, c2=0.031758319727277315 ..................
[CV]  c1=1.4210097920328295, c2=0.031758319727277315, score=0.610901 -   1.2s
[CV] c1=0.07615981738633507, c2=0.004790353920378798 .................
[CV]  c1=0.07615981738633507, c2=0.004790353920378798, score=0.825429 -   1.2s
[CV] c1=1.0993997237392759, c2=0.01975909552533796 ...................
[CV]  c1=1.0993997237392759, c2=0.01975909552533796, score=0.590261 -   0.9s
[CV] c1=0.17417699540334605, c2=0.02465625355715445 ..................
[CV]  c1=0.17417699540334605, c2=0.02465625355715445, score=0.850522 -   1.1s
[CV] c1=0.16487650251702668, c2=0.07308728081694545 ..................
[CV]  c1=0.16487650251702668, c2=0.07308728081694545, score=0.764039 -   1.1s
[CV] c1=0.21966608208746563, c2=0.050527204469523315 .................
[CV]  c1=0.21966608208746563, c2=0.050527204469523315, score=0.664245 -   0.9s
[CV] c1=0.6365201742454027, c2=0.03120017337002656 ...................
[CV]  c1=0.6365201742454027, c2=0.03120017337002656, score=0.644440 -   0.9s
[CV] c1=0.05981179280460644, c2=0.04650344454406657 ..................
[CV]  c1=0.05981179280460644, c2=0.04650344454406657, score=0.766899 -   1.1s
[CV] c1=0.8600533003352069, c2=0.01764857583700827 ...................
[CV]  c1=0.8600533003352069, c2=0.01764857583700827, score=0.645493 -   0.9s
[CV] c1=0.8025268841737552, c2=0.05755876245393842 ...................
[CV]  c1=0.8025268841737552, c2=0.05755876245393842, score=0.829717 -   1.1s
[CV] c1=0.4838411349026169, c2=0.005108593204549865 ..................
[CV]  c1=0.4838411349026169, c2=0.005108593204549865, score=0.752103 -   1.1s
[CV] c1=0.14767593841614263, c2=0.0005967385589712515 ................
[CV]  c1=0.14767593841614263, c2=0.0005967385589712515, score=0.795712 -   1.1s
[CV] c1=0.3855205976279322, c2=0.04924984861325685 ...................
[CV]  c1=0.3855205976279322, c2=0.04924984861325685, score=0.659964 -   0.9s
[CV] c1=0.18953980945852955, c2=0.05190940619692189 ..................
[CV]  c1=0.18953980945852955, c2=0.05190940619692189, score=0.882944 -   1.1s
[CV] c1=0.14007205972001874, c2=0.020722806977780187 .................
[CV]  c1=0.14007205972001874, c2=0.020722806977780187, score=0.668467 -   0.9s
[CV] c1=1.0594908829230996, c2=0.01353427803177659 ...................
[CV]  c1=1.0594908829230996, c2=0.01353427803177659, score=0.833006 -   1.0s
[CV] c1=0.42163728823360747, c2=0.1378481298532761 ...................
[CV]  c1=0.42163728823360747, c2=0.1378481298532761, score=0.649176 -   0.7s
[CV] c1=0.17176832079353213, c2=0.01563159789226653 ..................
[CV]  c1=0.17176832079353213, c2=0.01563159789226653, score=0.674334 -   0.9s
[CV] c1=1.8313038209087744, c2=0.06586771944753546 ...................
[CV]  c1=1.8313038209087744, c2=0.06586771944753546, score=0.501727 -   0.8s
[CV] c1=0.21966608208746563, c2=0.050527204469523315 .................
[CV]  c1=0.21966608208746563, c2=0.050527204469523315, score=0.790415 -   1.2s
[CV] c1=0.7375426771505558, c2=0.019535999733496248 ..................
[CV]  c1=0.7375426771505558, c2=0.019535999733496248, score=0.676101 -   0.9s
[CV] c1=0.7985739573740684, c2=0.010068844262321625 ..................
[CV]  c1=0.7985739573740684, c2=0.010068844262321625, score=0.835366 -   1.2s
[CV] c1=0.1841128904152996, c2=0.005882610613422059 ..................
[CV]  c1=0.1841128904152996, c2=0.005882610613422059, score=0.850522 -   1.0s
[CV] c1=0.7918555786527192, c2=0.0200296805884215 ....................
[CV]  c1=0.7918555786527192, c2=0.0200296805884215, score=0.676101 -   0.9s
[CV] c1=1.9512374788519966, c2=0.012670017781901436 ..................
[CV]  c1=1.9512374788519966, c2=0.012670017781901436, score=0.684790 -   1.1s
[CV] c1=0.5474829353106915, c2=0.011471692118133904 ..................
[CV]  c1=0.5474829353106915, c2=0.011471692118133904, score=0.771931 -   1.1s
[CV] c1=0.07548087268980254, c2=0.04076739952510902 ..................
[CV]  c1=0.07548087268980254, c2=0.04076739952510902, score=0.817929 -   1.0s
[CV] c1=0.8470802107069724, c2=0.02634588694704015 ...................
[CV]  c1=0.8470802107069724, c2=0.02634588694704015, score=0.712218 -   1.1s
[CV] c1=0.06437686734037372, c2=0.015411636781241739 .................
[CV]  c1=0.06437686734037372, c2=0.015411636781241739, score=0.770112 -   1.1s
[CV] c1=0.7862437045205263, c2=0.028352249807511082 ..................
[CV]  c1=0.7862437045205263, c2=0.028352249807511082, score=0.719319 -   1.2s
[CV] c1=0.5229446346181292, c2=0.06027395845760663 ...................
[CV]  c1=0.5229446346181292, c2=0.06027395845760663, score=0.777850 -   1.1s
[CV] c1=0.21126935133900127, c2=0.02080263440281381 ..................
[CV]  c1=0.21126935133900127, c2=0.02080263440281381, score=0.837696 -   1.1s
[CV] c1=0.7375426771505558, c2=0.019535999733496248 ..................
[CV]  c1=0.7375426771505558, c2=0.019535999733496248, score=0.687058 -   1.1s
[CV] c1=0.22123862123548027, c2=0.10553868372430071 ..................
[CV]  c1=0.22123862123548027, c2=0.10553868372430071, score=0.793255 -   1.2s
[CV] c1=1.1989657480077733, c2=0.03377927737138253 ...................
[CV]  c1=1.1989657480077733, c2=0.03377927737138253, score=0.647542 -   1.1s
[CV] c1=0.5134213529313475, c2=0.07331955692239649 ...................
[CV]  c1=0.5134213529313475, c2=0.07331955692239649, score=0.795324 -   1.0s
[CV] c1=0.0486468018406265, c2=0.049114602988059 .....................
[CV]  c1=0.0486468018406265, c2=0.049114602988059, score=0.817469 -   1.1s
[CV] c1=0.35241709353245326, c2=0.07622289329960462 ..................
[CV]  c1=0.35241709353245326, c2=0.07622289329960462, score=0.788640 -   1.0s
[CV] c1=0.023479356149106883, c2=0.0010065616717003705 ...............
[CV]  c1=0.023479356149106883, c2=0.0010065616717003705, score=0.820572 -   1.1s
[CV] c1=0.8520894301957259, c2=0.02945124435224298 ...................
[CV]  c1=0.8520894301957259, c2=0.02945124435224298, score=0.751511 -   1.0s
[CV] c1=1.0993997237392759, c2=0.01975909552533796 ...................
[CV]  c1=1.0993997237392759, c2=0.01975909552533796, score=0.631699 -   1.0s
[CV] c1=0.42163728823360747, c2=0.1378481298532761 ...................
[CV]  c1=0.42163728823360747, c2=0.1378481298532761, score=0.772532 -   1.0s
[CV] c1=0.10837617773971947, c2=0.05561818605106359 ..................
[CV]  c1=0.10837617773971947, c2=0.05561818605106359, score=0.668577 -   0.9s
[CV] c1=0.5169257160581356, c2=0.040074222463448356 ..................
[CV]  c1=0.5169257160581356, c2=0.040074222463448356, score=0.654048 -   0.8s
[CV] c1=0.1283312011601915, c2=0.024464456141811603 ..................
[CV]  c1=0.1283312011601915, c2=0.024464456141811603, score=0.871533 -   1.1s
[CV] c1=0.1563672444274629, c2=0.01843257565957365 ...................
[CV]  c1=0.1563672444274629, c2=0.01843257565957365, score=0.670393 -   0.9s
[CV] c1=0.023499693602799722, c2=0.0144118654639378 ..................
[CV]  c1=0.023499693602799722, c2=0.0144118654639378, score=0.890296 -   1.1s
[CV] c1=1.1989657480077733, c2=0.03377927737138253 ...................
[CV]  c1=1.1989657480077733, c2=0.03377927737138253, score=0.580454 -   1.2s
[CV] c1=0.0012484793115256315, c2=0.05953277847371019 ................
[CV]  c1=0.0012484793115256315, c2=0.05953277847371019, score=0.847312 -   1.0s
[CV] c1=0.2591059587828192, c2=0.07406378160379672 ...................
[CV]  c1=0.2591059587828192, c2=0.07406378160379672, score=0.752177 -   1.1s
[CV] c1=0.30392331037980735, c2=0.007137234625431192 .................
[CV]  c1=0.30392331037980735, c2=0.007137234625431192, score=0.837696 -   1.1s
[CV] c1=0.4520585815678241, c2=0.08449648700670592 ...................
[CV]  c1=0.4520585815678241, c2=0.08449648700670592, score=0.777850 -   1.0s
[CV] c1=0.6090705793412249, c2=0.13279947703467318 ...................
[CV]  c1=0.6090705793412249, c2=0.13279947703467318, score=0.643710 -   0.9s
[CV] c1=2.969567985112396, c2=0.06424114172261204 ....................
[CV]  c1=2.969567985112396, c2=0.06424114172261204, score=0.446313 -   1.1s
[CV] c1=0.614079047136926, c2=0.0071614769334473714 ..................
[CV]  c1=0.614079047136926, c2=0.0071614769334473714, score=0.732643 -   1.1s
[CV] c1=0.03686808871031574, c2=0.03739239180331614 ..................
[CV]  c1=0.03686808871031574, c2=0.03739239180331614, score=0.893819 -   1.1s
[CV] c1=0.21126935133900127, c2=0.02080263440281381 ..................
[CV]  c1=0.21126935133900127, c2=0.02080263440281381, score=0.668577 -   0.9s
[CV] c1=1.363495869934817, c2=0.09761027311255885 ....................
[CV]  c1=1.363495869934817, c2=0.09761027311255885, score=0.772250 -   1.1s
[CV] c1=0.7985739573740684, c2=0.010068844262321625 ..................
[CV]  c1=0.7985739573740684, c2=0.010068844262321625, score=0.676101 -   0.9s
[CV] c1=0.6512381289645105, c2=0.01322824931699415 ...................
[CV]  c1=0.6512381289645105, c2=0.01322824931699415, score=0.728149 -   1.0s
[CV] c1=0.5898532395313596, c2=0.11388600054644188 ...................
[CV]  c1=0.5898532395313596, c2=0.11388600054644188, score=0.643710 -   0.8s
[CV] c1=0.4838411349026169, c2=0.005108593204549865 ..................
[CV]  c1=0.4838411349026169, c2=0.005108593204549865, score=0.830027 -   1.0s
[CV] c1=0.14767593841614263, c2=0.0005967385589712515 ................
[CV]  c1=0.14767593841614263, c2=0.0005967385589712515, score=0.889692 -   1.0s
[CV] c1=0.18880796961288845, c2=0.045702870132420526 .................
[CV]  c1=0.18880796961288845, c2=0.045702870132420526, score=0.668577 -   0.8s
[CV] c1=0.023479356149106883, c2=0.0010065616717003705 ...............
[CV]  c1=0.023479356149106883, c2=0.0010065616717003705, score=0.789734 -   1.1s
[CV] c1=0.8520894301957259, c2=0.02945124435224298 ...................
[CV]  c1=0.8520894301957259, c2=0.02945124435224298, score=0.672374 -   1.1s
[CV] c1=1.0594908829230996, c2=0.01353427803177659 ...................
[CV]  c1=1.0594908829230996, c2=0.01353427803177659, score=0.718789 -   0.9s
[CV] c1=0.4362882755461965, c2=0.07348649615104257 ...................
[CV]  c1=0.4362882755461965, c2=0.07348649615104257, score=0.772532 -   1.1s
[CV] c1=0.03686808871031574, c2=0.03739239180331614 ..................
[CV]  c1=0.03686808871031574, c2=0.03739239180331614, score=0.824968 -   1.0s
[CV] c1=0.21126935133900127, c2=0.02080263440281381 ..................
[CV]  c1=0.21126935133900127, c2=0.02080263440281381, score=0.803234 -   1.1s
[CV] c1=0.00084178893321496, c2=0.02569494717099116 ..................
[CV]  c1=0.00084178893321496, c2=0.02569494717099116, score=0.899689 -   1.1s
[CV] c1=0.023499693602799722, c2=0.0144118654639378 ..................
[CV]  c1=0.023499693602799722, c2=0.0144118654639378, score=0.686481 -   0.8s
[CV] c1=0.1841128904152996, c2=0.005882610613422059 ..................
[CV]  c1=0.1841128904152996, c2=0.005882610613422059, score=0.688162 -   0.9s
[CV] c1=1.2801943672811311, c2=0.04411893416662903 ...................
[CV]  c1=1.2801943672811311, c2=0.04411893416662903, score=0.564161 -   1.1s
[CV] c1=1.9512374788519966, c2=0.012670017781901436 ..................
[CV]  c1=1.9512374788519966, c2=0.012670017781901436, score=0.649401 -   1.0s
[CV] c1=0.540612909509479, c2=0.10458376701813653 ....................
[CV]  c1=0.540612909509479, c2=0.10458376701813653, score=0.772227 -   1.2s
[CV] c1=0.6824212061139323, c2=0.01946961765571599 ...................
[CV]  c1=0.6824212061139323, c2=0.01946961765571599, score=0.788435 -   1.0s
[CV] c1=0.7647401437330664, c2=0.03064267308862378 ...................
[CV]  c1=0.7647401437330664, c2=0.03064267308862378, score=0.676101 -   0.9s
[CV] c1=0.13647089117049988, c2=0.08160342567971302 ..................
[CV]  c1=0.13647089117049988, c2=0.08160342567971302, score=0.664245 -   0.8s
[CV] c1=1.0594908829230996, c2=0.01353427803177659 ...................
[CV]  c1=1.0594908829230996, c2=0.01353427803177659, score=0.631699 -   0.9s
[CV] c1=0.4362882755461965, c2=0.07348649615104257 ...................
[CV]  c1=0.4362882755461965, c2=0.07348649615104257, score=0.713397 -   1.1s
[CV] c1=0.03686808871031574, c2=0.03739239180331614 ..................
[CV]  c1=0.03686808871031574, c2=0.03739239180331614, score=0.776627 -   1.1s
[CV] c1=0.28560023765845, c2=0.02824549926898011 .....................
[CV]  c1=0.28560023765845, c2=0.02824549926898011, score=0.663591 -   1.0s
[CV] c1=0.7375426771505558, c2=0.019535999733496248 ..................
[CV]  c1=0.7375426771505558, c2=0.019535999733496248, score=0.791575 -   1.0s
[CV] c1=0.22123862123548027, c2=0.10553868372430071 ..................
[CV]  c1=0.22123862123548027, c2=0.10553868372430071, score=0.742206 -   1.1s
[CV] c1=0.09849791866799963, c2=0.07936133618461311 ..................
[CV]  c1=0.09849791866799963, c2=0.07936133618461311, score=0.761523 -   1.2s
[CV] c1=0.5134213529313475, c2=0.07331955692239649 ...................
[CV]  c1=0.5134213529313475, c2=0.07331955692239649, score=0.777850 -   1.2s
[CV] c1=0.2591059587828192, c2=0.07406378160379672 ...................
[CV]  c1=0.2591059587828192, c2=0.07406378160379672, score=0.809696 -   1.1s
[CV] c1=0.30392331037980735, c2=0.007137234625431192 .................
[CV]  c1=0.30392331037980735, c2=0.007137234625431192, score=0.791019 -   1.0s
[CV] c1=0.4520585815678241, c2=0.08449648700670592 ...................
[CV]  c1=0.4520585815678241, c2=0.08449648700670592, score=0.772532 -   1.0s
[CV] c1=0.6090705793412249, c2=0.13279947703467318 ...................
[CV]  c1=0.6090705793412249, c2=0.13279947703467318, score=0.826356 -   1.1s
[CV] c1=1.0594908829230996, c2=0.01353427803177659 ...................
[CV]  c1=1.0594908829230996, c2=0.01353427803177659, score=0.649127 -   1.0s
[CV] c1=0.614079047136926, c2=0.0071614769334473714 ..................
[CV]  c1=0.614079047136926, c2=0.0071614769334473714, score=0.826192 -   1.1s
[CV] c1=0.5229446346181292, c2=0.06027395845760663 ...................
[CV]  c1=0.5229446346181292, c2=0.06027395845760663, score=0.798002 -   1.1s
[CV] c1=0.21966608208746563, c2=0.050527204469523315 .................
[CV]  c1=0.21966608208746563, c2=0.050527204469523315, score=0.767539 -   1.1s
[CV] c1=0.7375426771505558, c2=0.019535999733496248 ..................
[CV]  c1=0.7375426771505558, c2=0.019535999733496248, score=0.837873 -   1.1s
[CV] c1=0.22123862123548027, c2=0.10553868372430071 ..................
[CV]  c1=0.22123862123548027, c2=0.10553868372430071, score=0.659964 -   0.9s
[CV] c1=0.043802274379697234, c2=0.026565471192349623 ................
[CV]  c1=0.043802274379697234, c2=0.026565471192349623, score=0.823232 -   1.0s
[CV] c1=0.15179467683940245, c2=0.23492774042499887 ..................
[CV]  c1=0.15179467683940245, c2=0.23492774042499887, score=0.724530 -   1.2s
[CV] c1=0.05030857873008258, c2=0.035754470328303194 .................
[CV]  c1=0.05030857873008258, c2=0.035754470328303194, score=0.664006 -   0.9s
[CV] c1=0.5474829353106915, c2=0.011471692118133904 ..................
[CV]  c1=0.5474829353106915, c2=0.011471692118133904, score=0.732137 -   1.0s
[CV] c1=0.6824212061139323, c2=0.01946961765571599 ...................
[CV]  c1=0.6824212061139323, c2=0.01946961765571599, score=0.678025 -   0.9s
[CV] c1=0.5327629214223283, c2=0.03664250885159377 ...................
[CV]  c1=0.5327629214223283, c2=0.03664250885159377, score=0.849257 -   1.0s
[CV] c1=0.14007205972001874, c2=0.020722806977780187 .................
[CV]  c1=0.14007205972001874, c2=0.020722806977780187, score=0.772038 -   1.1s
[CV] c1=0.8328645664311604, c2=0.12463431237119378 ...................
[CV]  c1=0.8328645664311604, c2=0.12463431237119378, score=0.580660 -   0.7s
[CV] c1=0.7994966004860042, c2=0.028452763637411033 ..................
[CV]  c1=0.7994966004860042, c2=0.028452763637411033, score=0.675352 -   1.0s
[CV] c1=0.15938617826906568, c2=0.03896001013358366 ..................
[CV]  c1=0.15938617826906568, c2=0.03896001013358366, score=0.772915 -   1.2s
[CV] c1=0.18093212951156784, c2=0.047392223479283374 .................
[CV]  c1=0.18093212951156784, c2=0.047392223479283374, score=0.772915 -   1.1s
[CV] c1=0.6365201742454027, c2=0.03120017337002656 ...................
[CV]  c1=0.6365201742454027, c2=0.03120017337002656, score=0.795109 -   1.1s
[CV] c1=0.77866494181764, c2=0.11133507553898421 .....................
[CV]  c1=0.77866494181764, c2=0.11133507553898421, score=0.824379 -   1.1s
[CV] c1=0.1841128904152996, c2=0.005882610613422059 ..................
[CV]  c1=0.1841128904152996, c2=0.005882610613422059, score=0.879517 -   1.1s
[CV] c1=0.7918555786527192, c2=0.0200296805884215 ....................
[CV]  c1=0.7918555786527192, c2=0.0200296805884215, score=0.751511 -   1.1s
[CV] c1=0.44901119677119355, c2=0.008188883404018493 .................
[CV]  c1=0.44901119677119355, c2=0.008188883404018493, score=0.832488 -   1.1s
[CV] c1=0.5664117921518823, c2=0.096464464577714 .....................
[CV]  c1=0.5664117921518823, c2=0.096464464577714, score=0.718027 -   1.1s
[CV] c1=0.2973802085665617, c2=0.07460548272743177 ...................
[CV]  c1=0.2973802085665617, c2=0.07460548272743177, score=0.796366 -   1.2s
[CV] c1=0.6090705793412249, c2=0.13279947703467318 ...................
[CV]  c1=0.6090705793412249, c2=0.13279947703467318, score=0.684497 -   1.2s
[CV] c1=0.04274046604988626, c2=0.025834628123113348 .................
[CV]  c1=0.04274046604988626, c2=0.025834628123113348, score=0.830028 -   0.9s
[CV] c1=0.614079047136926, c2=0.0071614769334473714 ..................
[CV]  c1=0.614079047136926, c2=0.0071614769334473714, score=0.793210 -   1.1s
[CV] c1=0.03686808871031574, c2=0.03739239180331614 ..................
[CV]  c1=0.03686808871031574, c2=0.03739239180331614, score=0.817505 -   1.1s
[CV] c1=0.21126935133900127, c2=0.02080263440281381 ..................
[CV]  c1=0.21126935133900127, c2=0.02080263440281381, score=0.795658 -   1.1s
[CV] c1=0.7375426771505558, c2=0.019535999733496248 ..................
[CV]  c1=0.7375426771505558, c2=0.019535999733496248, score=0.685290 -   1.1s
[CV] c1=0.023499693602799722, c2=0.0144118654639378 ..................
[CV]  c1=0.023499693602799722, c2=0.0144118654639378, score=0.830028 -   1.1s
[CV] c1=1.1989657480077733, c2=0.03377927737138253 ...................
[CV]  c1=1.1989657480077733, c2=0.03377927737138253, score=0.710430 -   1.1s
[CV] c1=0.5134213529313475, c2=0.07331955692239649 ...................
[CV]  c1=0.5134213529313475, c2=0.07331955692239649, score=0.715371 -   1.1s
[CV] c1=0.0486468018406265, c2=0.049114602988059 .....................
[CV]  c1=0.0486468018406265, c2=0.049114602988059, score=0.773043 -   1.2s
[CV] c1=0.30392331037980735, c2=0.007137234625431192 .................
[CV]  c1=0.30392331037980735, c2=0.007137234625431192, score=0.817502 -   1.1s
[CV] c1=0.18953980945852955, c2=0.05190940619692189 ..................
[CV]  c1=0.18953980945852955, c2=0.05190940619692189, score=0.664245 -   0.9s
[CV] c1=0.6090705793412249, c2=0.13279947703467318 ...................
[CV]  c1=0.6090705793412249, c2=0.13279947703467318, score=0.767005 -   1.1s
[CV] c1=0.04274046604988626, c2=0.025834628123113348 .................
[CV]  c1=0.04274046604988626, c2=0.025834628123113348, score=0.893261 -   1.0s
[CV] c1=0.7862437045205263, c2=0.028352249807511082 ..................
[CV]  c1=0.7862437045205263, c2=0.028352249807511082, score=0.751511 -   1.0s
[CV] c1=0.16487650251702668, c2=0.07308728081694545 ..................
[CV]  c1=0.16487650251702668, c2=0.07308728081694545, score=0.664245 -   0.9s
[CV] c1=0.18093212951156784, c2=0.047392223479283374 .................
[CV]  c1=0.18093212951156784, c2=0.047392223479283374, score=0.805432 -   1.1s
[CV] c1=0.6365201742454027, c2=0.03120017337002656 ...................
[CV]  c1=0.6365201742454027, c2=0.03120017337002656, score=0.835201 -   1.1s
[CV] c1=1.0815384394711745, c2=0.002656500621296976 ..................
[CV]  c1=1.0815384394711745, c2=0.002656500621296976, score=0.629757 -   1.1s
[CV] c1=0.6512381289645105, c2=0.01322824931699415 ...................
[CV]  c1=0.6512381289645105, c2=0.01322824931699415, score=0.687768 -   0.9s
[CV] c1=0.8025268841737552, c2=0.05755876245393842 ...................
[CV]  c1=0.8025268841737552, c2=0.05755876245393842, score=0.687301 -   1.1s
[CV] c1=0.41879648853777046, c2=0.03625039674835494 ..................
[CV]  c1=0.41879648853777046, c2=0.03625039674835494, score=0.682186 -   0.9s
[CV] c1=0.14767593841614263, c2=0.0005967385589712515 ................
[CV]  c1=0.14767593841614263, c2=0.0005967385589712515, score=0.817145 -   1.2s
[CV] c1=0.3855205976279322, c2=0.04924984861325685 ...................
[CV]  c1=0.3855205976279322, c2=0.04924984861325685, score=0.866243 -   1.2s
[CV] c1=0.5327629214223283, c2=0.03664250885159377 ...................
[CV]  c1=0.5327629214223283, c2=0.03664250885159377, score=0.798002 -   1.1s
[CV] c1=0.19578568180441216, c2=0.012737291623923511 .................
[CV]  c1=0.19578568180441216, c2=0.012737291623923511, score=0.874907 -   1.1s
[CV] c1=1.5497265057593164, c2=0.048627637098759106 ..................
[CV]  c1=1.5497265057593164, c2=0.048627637098759106, score=0.515126 -   0.6s
[CV] c1=0.42163728823360747, c2=0.1378481298532761 ...................
[CV]  c1=0.42163728823360747, c2=0.1378481298532761, score=0.840940 -   0.8s
[CV] c1=0.17176832079353213, c2=0.01563159789226653 ..................
[CV]  c1=0.17176832079353213, c2=0.01563159789226653, score=0.805819 -   1.1s
[CV] c1=0.5169257160581356, c2=0.040074222463448356 ..................
[CV]  c1=0.5169257160581356, c2=0.040074222463448356, score=0.846525 -   1.1s
[CV] c1=0.6096724646163806, c2=0.06782614398987494 ...................
[CV]  c1=0.6096724646163806, c2=0.06782614398987494, score=0.829727 -   1.1s
[CV] c1=0.05981179280460644, c2=0.04650344454406657 ..................
[CV]  c1=0.05981179280460644, c2=0.04650344454406657, score=0.826344 -   1.1s
[CV] c1=0.8600533003352069, c2=0.01764857583700827 ...................
[CV]  c1=0.8600533003352069, c2=0.01764857583700827, score=0.830617 -   1.1s
[CV] c1=1.2801943672811311, c2=0.04411893416662903 ...................
[CV]  c1=1.2801943672811311, c2=0.04411893416662903, score=0.547739 -   1.0s
[CV] c1=0.4838411349026169, c2=0.005108593204549865 ..................
[CV]  c1=0.4838411349026169, c2=0.005108593204549865, score=0.792193 -   1.1s
[CV] c1=0.540612909509479, c2=0.10458376701813653 ....................
[CV]  c1=0.540612909509479, c2=0.10458376701813653, score=0.639429 -   0.9s
[CV] c1=0.18880796961288845, c2=0.045702870132420526 .................
[CV]  c1=0.18880796961288845, c2=0.045702870132420526, score=0.887053 -   1.1s
[CV] c1=0.18953980945852955, c2=0.05190940619692189 ..................
[CV]  c1=0.18953980945852955, c2=0.05190940619692189, score=0.792748 -   1.1s
[CV] c1=0.14007205972001874, c2=0.020722806977780187 .................
[CV]  c1=0.14007205972001874, c2=0.020722806977780187, score=0.801994 -   1.1s
[CV] c1=0.04274046604988626, c2=0.025834628123113348 .................
[CV]  c1=0.04274046604988626, c2=0.025834628123113348, score=0.815227 -   0.9s
[CV] c1=0.7994966004860042, c2=0.028452763637411033 ..................
[CV]  c1=0.7994966004860042, c2=0.028452763637411033, score=0.685167 -   1.0s
[CV] c1=0.15938617826906568, c2=0.03896001013358366 ..................
[CV]  c1=0.15938617826906568, c2=0.03896001013358366, score=0.797276 -   1.1s
[CV] c1=0.18093212951156784, c2=0.047392223479283374 .................
[CV]  c1=0.18093212951156784, c2=0.047392223479283374, score=0.664245 -   0.9s
[CV] c1=0.6096724646163806, c2=0.06782614398987494 ...................
[CV]  c1=0.6096724646163806, c2=0.06782614398987494, score=0.642515 -   0.9s
[CV] c1=0.1563672444274629, c2=0.01843257565957365 ...................
[CV]  c1=0.1563672444274629, c2=0.01843257565957365, score=0.850522 -   1.0s
[CV] c1=0.16450236817415148, c2=0.015921824592528826 .................
[CV]  c1=0.16450236817415148, c2=0.015921824592528826, score=0.846508 -   1.1s
[CV] c1=0.9603492642087813, c2=0.0719573582109563 ....................
[CV]  c1=0.9603492642087813, c2=0.0719573582109563, score=0.713277 -   1.0s
[CV] c1=0.0012484793115256315, c2=0.05953277847371019 ................
[CV]  c1=0.0012484793115256315, c2=0.05953277847371019, score=0.813821 -   1.2s
[CV] c1=0.2591059587828192, c2=0.07406378160379672 ...................
[CV]  c1=0.2591059587828192, c2=0.07406378160379672, score=0.767088 -   1.1s
[CV] c1=0.18880796961288845, c2=0.045702870132420526 .................
[CV]  c1=0.18880796961288845, c2=0.045702870132420526, score=0.803814 -   1.3s
[CV] c1=0.5327629214223283, c2=0.03664250885159377 ...................
[CV]  c1=0.5327629214223283, c2=0.03664250885159377, score=0.678560 -   0.9s
[CV] c1=0.14007205972001874, c2=0.020722806977780187 .................
[CV]  c1=0.14007205972001874, c2=0.020722806977780187, score=0.846508 -   1.1s
[CV] c1=0.04274046604988626, c2=0.025834628123113348 .................
[CV]  c1=0.04274046604988626, c2=0.025834628123113348, score=0.845520 -   0.9s
[CV] c1=0.7994966004860042, c2=0.028452763637411033 ..................
[CV]  c1=0.7994966004860042, c2=0.028452763637411033, score=0.644347 -   0.6s
[CV] c1=0.17176832079353213, c2=0.01563159789226653 ..................
[CV]  c1=0.17176832079353213, c2=0.01563159789226653, score=0.876880 -   1.1s
[CV] c1=1.8313038209087744, c2=0.06586771944753546 ...................
[CV]  c1=1.8313038209087744, c2=0.06586771944753546, score=0.532867 -   1.1s
[CV] c1=0.1283312011601915, c2=0.024464456141811603 ..................
[CV]  c1=0.1283312011601915, c2=0.024464456141811603, score=0.807249 -   1.1s
[CV] c1=0.1563672444274629, c2=0.01843257565957365 ...................
[CV]  c1=0.1563672444274629, c2=0.01843257565957365, score=0.801359 -   1.1s
[CV] c1=0.03969635065888768, c2=0.10409266724479077 ..................
[CV]  c1=0.03969635065888768, c2=0.10409266724479077, score=0.672631 -   0.9s
[CV] c1=0.9603492642087813, c2=0.0719573582109563 ....................
[CV]  c1=0.9603492642087813, c2=0.0719573582109563, score=0.660853 -   1.2s
[CV] c1=0.4838411349026169, c2=0.005108593204549865 ..................
[CV]  c1=0.4838411349026169, c2=0.005108593204549865, score=0.868490 -   1.1s
[CV] c1=0.14767593841614263, c2=0.0005967385589712515 ................
[CV]  c1=0.14767593841614263, c2=0.0005967385589712515, score=0.853077 -   1.1s
[CV] c1=0.18880796961288845, c2=0.045702870132420526 .................
[CV]  c1=0.18880796961288845, c2=0.045702870132420526, score=0.814904 -   1.1s
[CV] c1=0.18953980945852955, c2=0.05190940619692189 ..................
[CV]  c1=0.18953980945852955, c2=0.05190940619692189, score=0.814904 -   1.1s
[CV] c1=0.13647089117049988, c2=0.08160342567971302 ..................
[CV]  c1=0.13647089117049988, c2=0.08160342567971302, score=0.884459 -   1.2s
[CV] c1=0.8328645664311604, c2=0.12463431237119378 ...................
[CV]  c1=0.8328645664311604, c2=0.12463431237119378, score=0.715467 -   0.8s
[CV] c1=0.4362882755461965, c2=0.07348649615104257 ...................
[CV]  c1=0.4362882755461965, c2=0.07348649615104257, score=0.844116 -   1.1s
[CV] c1=0.03686808871031574, c2=0.03739239180331614 ..................
[CV]  c1=0.03686808871031574, c2=0.03739239180331614, score=0.668281 -   0.8s
[CV] c1=0.7551899832629215, c2=0.011563204646513836 ..................
[CV]  c1=0.7551899832629215, c2=0.011563204646513836, score=0.673435 -   1.1s
[CV] c1=1.493195115786258, c2=0.12044535448786818 ....................
[CV]  c1=1.493195115786258, c2=0.12044535448786818, score=0.643080 -   1.0s
[CV] c1=0.77866494181764, c2=0.11133507553898421 .....................
[CV]  c1=0.77866494181764, c2=0.11133507553898421, score=0.635042 -   1.2s
[CV] c1=0.1841128904152996, c2=0.005882610613422059 ..................
[CV]  c1=0.1841128904152996, c2=0.005882610613422059, score=0.798273 -   1.1s
[CV] c1=0.37316166256081024, c2=0.014472394024483526 .................
[CV]  c1=0.37316166256081024, c2=0.014472394024483526, score=0.659518 -   0.9s
[CV] c1=0.07035349936733629, c2=0.009614232927992275 .................
[CV]  c1=0.07035349936733629, c2=0.009614232927992275, score=0.855836 -   1.0s
[CV] c1=0.07880211835159928, c2=0.04668368225251371 ..................
[CV]  c1=0.07880211835159928, c2=0.04668368225251371, score=0.801994 -   1.0s
[CV] c1=0.07548087268980254, c2=0.04076739952510902 ..................
[CV]  c1=0.07548087268980254, c2=0.04076739952510902, score=0.817505 -   1.1s
[CV] c1=0.5543779906646145, c2=0.00986360364738194 ...................
[CV]  c1=0.5543779906646145, c2=0.00986360364738194, score=0.696758 -   0.9s
[CV] c1=0.19578568180441216, c2=0.012737291623923511 .................
[CV]  c1=0.19578568180441216, c2=0.012737291623923511, score=0.664636 -   0.9s
[CV] c1=0.8328645664311604, c2=0.12463431237119378 ...................
[CV]  c1=0.8328645664311604, c2=0.12463431237119378, score=0.818184 -   0.8s
[CV] c1=0.17417699540334605, c2=0.02465625355715445 ..................
[CV]  c1=0.17417699540334605, c2=0.02465625355715445, score=0.772915 -   1.1s
[CV] c1=0.16487650251702668, c2=0.07308728081694545 ..................
[CV]  c1=0.16487650251702668, c2=0.07308728081694545, score=0.761151 -   1.1s
[CV] c1=0.21966608208746563, c2=0.050527204469523315 .................
[CV]  c1=0.21966608208746563, c2=0.050527204469523315, score=0.814904 -   1.1s
[CV] c1=1.363495869934817, c2=0.09761027311255885 ....................
[CV]  c1=1.363495869934817, c2=0.09761027311255885, score=0.553101 -   1.1s
[CV] c1=0.22123862123548027, c2=0.10553868372430071 ..................
[CV]  c1=0.22123862123548027, c2=0.10553868372430071, score=0.800506 -   1.1s
[CV] c1=0.09849791866799963, c2=0.07936133618461311 ..................
[CV]  c1=0.09849791866799963, c2=0.07936133618461311, score=0.810732 -   1.0s
[CV] c1=0.37316166256081024, c2=0.014472394024483526 .................
[CV]  c1=0.37316166256081024, c2=0.014472394024483526, score=0.835236 -   1.0s
[CV] c1=0.44901119677119355, c2=0.008188883404018493 .................
[CV]  c1=0.44901119677119355, c2=0.008188883404018493, score=0.666714 -   0.9s
[CV] c1=0.4273521208524577, c2=0.03645033339088513 ...................
[CV]  c1=0.4273521208524577, c2=0.03645033339088513, score=0.736589 -   1.2s
[CV] c1=0.2973802085665617, c2=0.07460548272743177 ...................
[CV]  c1=0.2973802085665617, c2=0.07460548272743177, score=0.659964 -   0.9s
[CV] c1=0.8470802107069724, c2=0.02634588694704015 ...................
[CV]  c1=0.8470802107069724, c2=0.02634588694704015, score=0.628281 -   0.8s
[CV] c1=0.13647089117049988, c2=0.08160342567971302 ..................
[CV]  c1=0.13647089117049988, c2=0.08160342567971302, score=0.803909 -   1.1s
[CV] c1=1.5497265057593164, c2=0.048627637098759106 ..................
[CV]  c1=1.5497265057593164, c2=0.048627637098759106, score=0.741682 -   0.8s
[CV] c1=0.7862437045205263, c2=0.028352249807511082 ..................
[CV]  c1=0.7862437045205263, c2=0.028352249807511082, score=0.675864 -   1.1s
[CV] c1=0.5229446346181292, c2=0.06027395845760663 ...................
[CV]  c1=0.5229446346181292, c2=0.06027395845760663, score=0.652118 -   0.9s
[CV] c1=0.7392502423341978, c2=0.0017672398924334966 .................
[CV]  c1=0.7392502423341978, c2=0.0017672398924334966, score=0.830634 -   1.1s
[CV] c1=1.493195115786258, c2=0.12044535448786818 ....................
[CV]  c1=1.493195115786258, c2=0.12044535448786818, score=0.755242 -   1.1s
[CV] c1=0.77866494181764, c2=0.11133507553898421 .....................
[CV]  c1=0.77866494181764, c2=0.11133507553898421, score=0.611956 -   0.9s
[CV] c1=0.8600533003352069, c2=0.01764857583700827 ...................
[CV]  c1=0.8600533003352069, c2=0.01764857583700827, score=0.668447 -   1.1s
[CV] c1=0.5898532395313596, c2=0.11388600054644188 ...................
[CV]  c1=0.5898532395313596, c2=0.11388600054644188, score=0.832506 -   1.1s
[CV] c1=1.9512374788519966, c2=0.012670017781901436 ..................
[CV]  c1=1.9512374788519966, c2=0.012670017781901436, score=0.495543 -   0.8s
[CV] c1=0.540612909509479, c2=0.10458376701813653 ....................
[CV]  c1=0.540612909509479, c2=0.10458376701813653, score=0.835060 -   1.1s
[CV] c1=0.18880796961288845, c2=0.045702870132420526 .................
[CV]  c1=0.18880796961288845, c2=0.045702870132420526, score=0.779059 -   1.1s
[CV] c1=0.18953980945852955, c2=0.05190940619692189 ..................
[CV]  c1=0.18953980945852955, c2=0.05190940619692189, score=0.772915 -   1.1s
[CV] c1=0.13647089117049988, c2=0.08160342567971302 ..................
[CV]  c1=0.13647089117049988, c2=0.08160342567971302, score=0.769384 -   1.1s
[CV] c1=0.8328645664311604, c2=0.12463431237119378 ...................
[CV]  c1=0.8328645664311604, c2=0.12463431237119378, score=0.653741 -   0.8s
[CV] c1=0.17417699540334605, c2=0.02465625355715445 ..................
[CV]  c1=0.17417699540334605, c2=0.02465625355715445, score=0.880557 -   1.1s
[CV] c1=0.9799271819591984, c2=0.011714114569726422 ..................
[CV]  c1=0.9799271819591984, c2=0.011714114569726422, score=0.621244 -   0.9s
[CV] c1=0.18093212951156784, c2=0.047392223479283374 .................
[CV]  c1=0.18093212951156784, c2=0.047392223479283374, score=0.887053 -   1.1s
[CV] c1=0.23882380642474374, c2=0.11276309532747393 ..................
[CV]  c1=0.23882380642474374, c2=0.11276309532747393, score=0.724800 -   1.1s
[CV] c1=1.0815384394711745, c2=0.002656500621296976 ..................
[CV]  c1=1.0815384394711745, c2=0.002656500621296976, score=0.718789 -   1.0s
[CV] c1=0.8600533003352069, c2=0.01764857583700827 ...................
[CV]  c1=0.8600533003352069, c2=0.01764857583700827, score=0.685167 -   1.2s
[CV] c1=0.15179467683940245, c2=0.23492774042499887 ..................
[CV]  c1=0.15179467683940245, c2=0.23492774042499887, score=0.846278 -   1.1s
[CV] c1=0.07035349936733629, c2=0.009614232927992275 .................
[CV]  c1=0.07035349936733629, c2=0.009614232927992275, score=0.664619 -   0.9s
[CV] c1=0.540612909509479, c2=0.10458376701813653 ....................
[CV]  c1=0.540612909509479, c2=0.10458376701813653, score=0.732467 -   1.1s
[CV] c1=0.3855205976279322, c2=0.04924984861325685 ...................
[CV]  c1=0.3855205976279322, c2=0.04924984861325685, score=0.787664 -   1.1s
[CV] c1=0.7647401437330664, c2=0.03064267308862378 ...................
[CV]  c1=0.7647401437330664, c2=0.03064267308862378, score=0.682738 -   1.2s
[CV] c1=0.6840913362368842, c2=0.03565340877709582 ...................
[CV]  c1=0.6840913362368842, c2=0.03565340877709582, score=0.663170 -   0.8s
[CV] c1=0.8328645664311604, c2=0.12463431237119378 ...................
[CV]  c1=0.8328645664311604, c2=0.12463431237119378, score=0.593874 -   0.8s
[CV] c1=0.42163728823360747, c2=0.1378481298532761 ...................
[CV]  c1=0.42163728823360747, c2=0.1378481298532761, score=0.713397 -   0.9s
[CV] c1=0.15938617826906568, c2=0.03896001013358366 ..................
[CV]  c1=0.15938617826906568, c2=0.03896001013358366, score=0.817466 -   1.1s
[CV] c1=0.5169257160581356, c2=0.040074222463448356 ..................
[CV]  c1=0.5169257160581356, c2=0.040074222463448356, score=0.804616 -   1.1s
[CV] c1=0.6096724646163806, c2=0.06782614398987494 ...................
[CV]  c1=0.6096724646163806, c2=0.06782614398987494, score=0.792430 -   1.1s
[CV] c1=0.05981179280460644, c2=0.04650344454406657 ..................
[CV]  c1=0.05981179280460644, c2=0.04650344454406657, score=0.817469 -   1.1s
[CV] c1=0.03969635065888768, c2=0.10409266724479077 ..................
[CV]  c1=0.03969635065888768, c2=0.10409266724479077, score=0.787195 -   1.2s
[CV] c1=1.2801943672811311, c2=0.04411893416662903 ...................
[CV]  c1=1.2801943672811311, c2=0.04411893416662903, score=0.610901 -   1.1s
[CV] c1=0.41879648853777046, c2=0.03625039674835494 ..................
[CV]  c1=0.41879648853777046, c2=0.03625039674835494, score=0.790461 -   1.2s
[CV] c1=0.07880211835159928, c2=0.04668368225251371 ..................
[CV]  c1=0.07880211835159928, c2=0.04668368225251371, score=0.677962 -   0.9s
[CV] c1=0.6824212061139323, c2=0.01946961765571599 ...................
[CV]  c1=0.6824212061139323, c2=0.01946961765571599, score=0.835908 -   1.1s
[CV] c1=0.7647401437330664, c2=0.03064267308862378 ...................
[CV]  c1=0.7647401437330664, c2=0.03064267308862378, score=0.791575 -   1.1s
[CV] c1=0.19578568180441216, c2=0.012737291623923511 .................
[CV]  c1=0.19578568180441216, c2=0.012737291623923511, score=0.850522 -   1.1s
[CV] c1=1.5497265057593164, c2=0.048627637098759106 ..................
[CV]  c1=1.5497265057593164, c2=0.048627637098759106, score=0.679197 -   0.7s
[CV] c1=0.7862437045205263, c2=0.028352249807511082 ..................
[CV]  c1=0.7862437045205263, c2=0.028352249807511082, score=0.827962 -   1.1s
[CV] c1=0.5229446346181292, c2=0.06027395845760663 ...................
[CV]  c1=0.5229446346181292, c2=0.06027395845760663, score=0.838778 -   1.1s
[CV] c1=0.21966608208746563, c2=0.050527204469523315 .................
[CV]  c1=0.21966608208746563, c2=0.050527204469523315, score=0.886878 -   1.1s
[CV] c1=1.363495869934817, c2=0.09761027311255885 ....................
[CV]  c1=1.363495869934817, c2=0.09761027311255885, score=0.519041 -   0.9s
[CV] c1=0.8527515303147669, c2=0.010510107172109588 ..................
[CV]  c1=0.8527515303147669, c2=0.010510107172109588, score=0.675864 -   1.1s
[CV] c1=0.6512381289645105, c2=0.01322824931699415 ...................
[CV]  c1=0.6512381289645105, c2=0.01322824931699415, score=0.761817 -   1.1s
[CV] c1=0.15179467683940245, c2=0.23492774042499887 ..................
[CV]  c1=0.15179467683940245, c2=0.23492774042499887, score=0.769423 -   1.1s
[CV] c1=0.07035349936733629, c2=0.009614232927992275 .................
[CV]  c1=0.07035349936733629, c2=0.009614232927992275, score=0.780495 -   1.1s
[CV] c1=0.4273521208524577, c2=0.03645033339088513 ...................
[CV]  c1=0.4273521208524577, c2=0.03645033339088513, score=0.859814 -   1.1s
[CV] c1=1.4210097920328295, c2=0.031758319727277315 ..................
[CV]  c1=1.4210097920328295, c2=0.031758319727277315, score=0.523073 -   0.9s
[CV] c1=0.7647401437330664, c2=0.03064267308862378 ...................
[CV]  c1=0.7647401437330664, c2=0.03064267308862378, score=0.685290 -   1.1s
[CV] c1=0.06437686734037372, c2=0.015411636781241739 .................
[CV]  c1=0.06437686734037372, c2=0.015411636781241739, score=0.661021 -   0.9s
[CV] c1=1.5497265057593164, c2=0.048627637098759106 ..................
[CV]  c1=1.5497265057593164, c2=0.048627637098759106, score=0.610109 -   0.7s
Training done in: 15.088868s
     Saving training model...
        Saving training model done in: 0.013439s
*********************************
Prediction done in: 0.022766s