-------------------------------- 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: Run5
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: TrueS4: False
Run variant: 11
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: 0.003767s
-------------------------------- 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   -2:lemma  culture
7  -2:postag      VBN
8   +2:lemma  minimal
9  +2:postag       JJ
--------------------------- 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   -2:lemma     affyexp
7  -2:postag          JJ
8   +2:lemma     glucose
9  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.31861312601840946, c2=0.12120072071169374 ..................
[CV]  c1=0.31861312601840946, c2=0.12120072071169374, score=0.688221 -   0.8s
[CV] c1=0.19137944760401207, c2=0.1060060507688273 ...................
[CV]  c1=0.19137944760401207, c2=0.1060060507688273, score=0.882173 -   1.3s
[CV] c1=0.19269028461074456, c2=0.012777379808540337 .................
[CV]  c1=0.19269028461074456, c2=0.012777379808540337, score=0.735883 -   1.1s
[CV] c1=0.5331362068095788, c2=0.07960817796812274 ...................
[CV]  c1=0.5331362068095788, c2=0.07960817796812274, score=0.709013 -   1.3s
[CV] c1=0.1704305063239902, c2=0.04902352112602352 ...................
[CV]  c1=0.1704305063239902, c2=0.04902352112602352, score=0.803391 -   1.5s
[CV] c1=0.9298542943474559, c2=0.013485239893926219 ..................
[CV]  c1=0.9298542943474559, c2=0.013485239893926219, score=0.675208 -   1.3s
[CV] c1=0.22216697879316827, c2=0.12641445197697174 ..................
[CV]  c1=0.22216697879316827, c2=0.12641445197697174, score=0.707070 -   1.2s
[CV] c1=0.11527309375814619, c2=0.0007142903984410407 ................
[CV]  c1=0.11527309375814619, c2=0.0007142903984410407, score=0.908773 -   1.3s
[CV] c1=0.0454619137432587, c2=0.044358615295553884 ..................
[CV]  c1=0.0454619137432587, c2=0.044358615295553884, score=0.879215 -   1.3s
[CV] c1=1.549756546367746, c2=0.09980884734574436 ....................
[CV]  c1=1.549756546367746, c2=0.09980884734574436, score=0.616107 -   1.3s
[CV] c1=0.003335400885808935, c2=0.008153886951342674 ................
[CV]  c1=0.003335400885808935, c2=0.008153886951342674, score=0.763168 -   1.4s
[CV] c1=0.787936167347692, c2=0.22255172323276626 ....................
[CV]  c1=0.787936167347692, c2=0.22255172323276626, score=0.600945 -   1.4s
[CV] c1=0.4751252798735379, c2=0.11107991643192612 ...................
[CV]  c1=0.4751252798735379, c2=0.11107991643192612, score=0.668685 -   1.0s
[CV] c1=0.13144954405592912, c2=0.05608862530171164 ..................
[CV]  c1=0.13144954405592912, c2=0.05608862530171164, score=0.800348 -   1.2s
[CV] c1=1.2209830178811576, c2=0.007618865827688214 ..................
[CV]  c1=1.2209830178811576, c2=0.007618865827688214, score=0.739883 -   1.1s
[CV] c1=0.45482419210178165, c2=0.013110464269243907 .................
[CV]  c1=0.45482419210178165, c2=0.013110464269243907, score=0.901789 -   1.2s
[CV] c1=0.0023331525056745498, c2=0.03264268739751146 ................
[CV]  c1=0.0023331525056745498, c2=0.03264268739751146, score=0.763168 -   1.3s
[CV] c1=0.10433258850476057, c2=0.006168097835001583 .................
[CV]  c1=0.10433258850476057, c2=0.006168097835001583, score=0.734771 -   1.0s
[CV] c1=0.2062466376186723, c2=0.04697563303419973 ...................
[CV]  c1=0.2062466376186723, c2=0.04697563303419973, score=0.803391 -   1.2s
[CV] c1=0.24766906260933258, c2=0.003187292727570713 .................
[CV]  c1=0.24766906260933258, c2=0.003187292727570713, score=0.803391 -   1.2s
[CV] c1=0.20685567789535406, c2=0.03123644190955728 ..................
[CV]  c1=0.20685567789535406, c2=0.03123644190955728, score=0.715440 -   1.0s
[CV] c1=0.2394665043790539, c2=0.02497526379759795 ...................
[CV]  c1=0.2394665043790539, c2=0.02497526379759795, score=0.906707 -   1.3s
[CV] c1=0.05596511665264958, c2=0.051797454440495196 .................
[CV]  c1=0.05596511665264958, c2=0.051797454440495196, score=0.800192 -   1.3s
[CV] c1=0.31221250302216436, c2=0.14805994066445172 ..................
[CV]  c1=0.31221250302216436, c2=0.14805994066445172, score=0.782379 -   1.3s
[CV] c1=0.01237949636847789, c2=0.07501253067348386 ..................
[CV]  c1=0.01237949636847789, c2=0.07501253067348386, score=0.866593 -   1.3s
[CV] c1=0.25336085858895946, c2=0.03687826757741486 ..................
[CV]  c1=0.25336085858895946, c2=0.03687826757741486, score=0.865502 -   1.1s
[CV] c1=0.26532764111469703, c2=0.031077460985383793 .................
[CV]  c1=0.26532764111469703, c2=0.031077460985383793, score=0.793437 -   1.4s
[CV] c1=0.19908972830294, c2=0.0755823285657963 ......................
[CV]  c1=0.19908972830294, c2=0.0755823285657963, score=0.803391 -   1.3s
[CV] c1=0.4878323604607843, c2=0.027586465119483268 ..................
[CV]  c1=0.4878323604607843, c2=0.027586465119483268, score=0.856686 -   1.2s
[CV] c1=1.6773003562710558, c2=0.0036549201358902295 .................
[CV]  c1=1.6773003562710558, c2=0.0036549201358902295, score=0.722740 -   1.3s
[CV] c1=0.4550434219956808, c2=0.1076209530549174 ....................
[CV]  c1=0.4550434219956808, c2=0.1076209530549174, score=0.782379 -   1.3s
[CV] c1=0.0329398951048407, c2=0.17928964182452956 ...................
[CV]  c1=0.0329398951048407, c2=0.17928964182452956, score=0.746341 -   1.0s
[CV] c1=0.8927299059785582, c2=0.01697233865039244 ...................
[CV]  c1=0.8927299059785582, c2=0.01697233865039244, score=0.675828 -   1.3s
[CV] c1=0.08199794608839168, c2=0.011596829954996526 .................
[CV]  c1=0.08199794608839168, c2=0.011596829954996526, score=0.718792 -   1.0s
[CV] c1=0.42416345987264437, c2=0.0656300703109306 ...................
[CV]  c1=0.42416345987264437, c2=0.0656300703109306, score=0.782379 -   1.3s
[CV] c1=0.4518933716298782, c2=0.028143280425570932 ..................
[CV]  c1=0.4518933716298782, c2=0.028143280425570932, score=0.717474 -   1.0s
[CV] c1=1.2139506843272276, c2=0.11706516917636325 ...................
[CV]  c1=1.2139506843272276, c2=0.11706516917636325, score=0.697707 -   1.2s
[CV] c1=0.0747253981774921, c2=0.0018031315319789439 .................
[CV]  c1=0.0747253981774921, c2=0.0018031315319789439, score=0.868768 -   1.2s
[CV] c1=0.4981085066844368, c2=0.06209102851381553 ...................
[CV]  c1=0.4981085066844368, c2=0.06209102851381553, score=0.717348 -   1.3s
[CV] c1=0.10625827723808744, c2=0.04086897050551206 ..................
[CV]  c1=0.10625827723808744, c2=0.04086897050551206, score=0.770687 -   1.3s
[CV] c1=0.25074069196138327, c2=0.02767971244344382 ..................
[CV]  c1=0.25074069196138327, c2=0.02767971244344382, score=0.803391 -   1.3s
[CV] c1=1.0178434076444824, c2=0.02995006954316406 ...................
[CV]  c1=1.0178434076444824, c2=0.02995006954316406, score=0.779947 -   1.2s
[CV] c1=0.40517417585521504, c2=0.07074782650959643 ..................
[CV]  c1=0.40517417585521504, c2=0.07074782650959643, score=0.827881 -   1.3s
[CV] c1=1.0577282814901503, c2=0.004563324133922199 ..................
[CV]  c1=1.0577282814901503, c2=0.004563324133922199, score=0.640919 -   1.0s
[CV] c1=0.20685567789535406, c2=0.03123644190955728 ..................
[CV]  c1=0.20685567789535406, c2=0.03123644190955728, score=0.888841 -   1.3s
[CV] c1=0.45998012296866947, c2=0.0259574185333197 ...................
[CV]  c1=0.45998012296866947, c2=0.0259574185333197, score=0.738214 -   1.2s
[CV] c1=0.5666324662468307, c2=0.04669824744189712 ...................
[CV]  c1=0.5666324662468307, c2=0.04669824744189712, score=0.873048 -   1.2s
[CV] c1=0.2539787551828269, c2=0.10024261218651523 ...................
[CV]  c1=0.2539787551828269, c2=0.10024261218651523, score=0.840662 -   1.3s
[CV] c1=0.1769740001899864, c2=0.041239927180721184 ..................
[CV]  c1=0.1769740001899864, c2=0.041239927180721184, score=0.860111 -   1.2s
[CV] c1=0.13144954405592912, c2=0.05608862530171164 ..................
[CV]  c1=0.13144954405592912, c2=0.05608862530171164, score=0.697530 -   1.1s
[CV] c1=1.127780153675887, c2=0.008571861792052993 ...................
[CV]  c1=1.127780153675887, c2=0.008571861792052993, score=0.862393 -   1.2s
[CV] c1=0.07317374451841185, c2=0.013027740709477648 .................
[CV]  c1=0.07317374451841185, c2=0.013027740709477648, score=0.799467 -   1.3s
[CV] c1=0.25074069196138327, c2=0.02767971244344382 ..................
[CV]  c1=0.25074069196138327, c2=0.02767971244344382, score=0.793437 -   1.2s
[CV] c1=0.18480313524900868, c2=0.144702299722739 ....................
[CV]  c1=0.18480313524900868, c2=0.144702299722739, score=0.761726 -   1.3s
[CV] c1=0.40517417585521504, c2=0.07074782650959643 ..................
[CV]  c1=0.40517417585521504, c2=0.07074782650959643, score=0.733583 -   1.3s
[CV] c1=0.07493104506947067, c2=0.14116459084144103 ..................
[CV]  c1=0.07493104506947067, c2=0.14116459084144103, score=0.760778 -   1.3s
[CV] c1=0.1107202351031119, c2=0.01221596988521561 ...................
[CV]  c1=0.1107202351031119, c2=0.01221596988521561, score=0.801856 -   1.3s
[CV] c1=1.194268712819326, c2=0.002111601897806666 ...................
[CV]  c1=1.194268712819326, c2=0.002111601897806666, score=0.627884 -   1.2s
[CV] c1=0.37110241491112095, c2=0.12464265646509914 ..................
[CV]  c1=0.37110241491112095, c2=0.12464265646509914, score=0.680437 -   1.0s
[CV] c1=0.192685495551757, c2=0.09444535695044358 ....................
[CV]  c1=0.192685495551757, c2=0.09444535695044358, score=0.876969 -   1.3s
[CV] c1=0.4751252798735379, c2=0.11107991643192612 ...................
[CV]  c1=0.4751252798735379, c2=0.11107991643192612, score=0.844120 -   1.3s
[CV] c1=1.4711680428394909, c2=0.0028530085913344968 .................
[CV]  c1=1.4711680428394909, c2=0.0028530085913344968, score=0.603928 -   1.2s
[CV] c1=1.0096638009996957, c2=0.24658603198932072 ...................
[CV]  c1=1.0096638009996957, c2=0.24658603198932072, score=0.735731 -   1.1s
[CV] c1=0.19908972830294, c2=0.0755823285657963 ......................
[CV]  c1=0.19908972830294, c2=0.0755823285657963, score=0.696964 -   0.9s
[CV] c1=0.25074069196138327, c2=0.02767971244344382 ..................
[CV]  c1=0.25074069196138327, c2=0.02767971244344382, score=0.864640 -   1.2s
[CV] c1=0.18480313524900868, c2=0.144702299722739 ....................
[CV]  c1=0.18480313524900868, c2=0.144702299722739, score=0.768202 -   1.2s
[CV] c1=0.2062466376186723, c2=0.04697563303419973 ...................
[CV]  c1=0.2062466376186723, c2=0.04697563303419973, score=0.862518 -   1.2s
[CV] c1=0.6820788522831922, c2=0.03838234509363 ......................
[CV]  c1=0.6820788522831922, c2=0.03838234509363, score=0.768304 -   1.3s
[CV] c1=0.9687116108063709, c2=0.048661210794563405 ..................
[CV]  c1=0.9687116108063709, c2=0.048661210794563405, score=0.668707 -   1.3s
[CV] c1=0.45998012296866947, c2=0.0259574185333197 ...................
[CV]  c1=0.45998012296866947, c2=0.0259574185333197, score=0.892510 -   1.2s
[CV] c1=0.5275234660218101, c2=0.011187437723769605 ..................
[CV]  c1=0.5275234660218101, c2=0.011187437723769605, score=0.794430 -   1.3s
[CV] c1=0.2539787551828269, c2=0.10024261218651523 ...................
[CV]  c1=0.2539787551828269, c2=0.10024261218651523, score=0.794430 -   1.3s
[CV] c1=0.1769740001899864, c2=0.041239927180721184 ..................
[CV]  c1=0.1769740001899864, c2=0.041239927180721184, score=0.705818 -   0.9s
[CV] c1=0.0747253981774921, c2=0.0018031315319789439 .................
[CV]  c1=0.0747253981774921, c2=0.0018031315319789439, score=0.725882 -   1.0s
[CV] c1=0.19269028461074456, c2=0.012777379808540337 .................
[CV]  c1=0.19269028461074456, c2=0.012777379808540337, score=0.803391 -   1.2s
[CV] c1=0.24965353745044339, c2=0.06521292334929078 ..................
[CV]  c1=0.24965353745044339, c2=0.06521292334929078, score=0.803391 -   1.3s
[CV] c1=0.5260580020827927, c2=0.0906031082855851 ....................
[CV]  c1=0.5260580020827927, c2=0.0906031082855851, score=0.693383 -   1.2s
[CV] c1=0.09303139883132601, c2=0.037372217337095885 .................
[CV]  c1=0.09303139883132601, c2=0.037372217337095885, score=0.770687 -   1.5s
[CV] c1=0.2062466376186723, c2=0.04697563303419973 ...................
[CV]  c1=0.2062466376186723, c2=0.04697563303419973, score=0.897397 -   1.3s
[CV] c1=0.24766906260933258, c2=0.003187292727570713 .................
[CV]  c1=0.24766906260933258, c2=0.003187292727570713, score=0.797016 -   1.3s
[CV] c1=0.20685567789535406, c2=0.03123644190955728 ..................
[CV]  c1=0.20685567789535406, c2=0.03123644190955728, score=0.795741 -   1.3s
[CV] c1=1.194268712819326, c2=0.002111601897806666 ...................
[CV]  c1=1.194268712819326, c2=0.002111601897806666, score=0.629385 -   1.0s
[CV] c1=0.5275234660218101, c2=0.011187437723769605 ..................
[CV]  c1=0.5275234660218101, c2=0.011187437723769605, score=0.742265 -   1.3s
[CV] c1=0.2539787551828269, c2=0.10024261218651523 ...................
[CV]  c1=0.2539787551828269, c2=0.10024261218651523, score=0.884308 -   1.3s
[CV] c1=0.2606977748379257, c2=0.07960603250068207 ...................
[CV]  c1=0.2606977748379257, c2=0.07960603250068207, score=0.776097 -   1.1s
[CV] c1=0.6149492540855628, c2=0.11734002233546502 ...................
[CV]  c1=0.6149492540855628, c2=0.11734002233546502, score=0.778398 -   1.2s
[CV] c1=0.5077561117113805, c2=0.06468251192601603 ...................
[CV]  c1=0.5077561117113805, c2=0.06468251192601603, score=0.690917 -   1.0s
[CV] c1=0.24965353745044339, c2=0.06521292334929078 ..................
[CV]  c1=0.24965353745044339, c2=0.06521292334929078, score=0.793437 -   1.2s
[CV] c1=1.5635260584006245, c2=0.06699444284062765 ...................
[CV]  c1=1.5635260584006245, c2=0.06699444284062765, score=0.615283 -   1.3s
[CV] c1=0.9298542943474559, c2=0.013485239893926219 ..................
[CV]  c1=0.9298542943474559, c2=0.013485239893926219, score=0.653513 -   1.0s
[CV] c1=1.6773003562710558, c2=0.0036549201358902295 .................
[CV]  c1=1.6773003562710558, c2=0.0036549201358902295, score=0.759160 -   1.3s
[CV] c1=0.4550434219956808, c2=0.1076209530549174 ....................
[CV]  c1=0.4550434219956808, c2=0.1076209530549174, score=0.670128 -   1.0s
[CV] c1=1.0577282814901503, c2=0.004563324133922199 ..................
[CV]  c1=1.0577282814901503, c2=0.004563324133922199, score=0.629837 -   1.3s
[CV] c1=0.8927299059785582, c2=0.01697233865039244 ...................
[CV]  c1=0.8927299059785582, c2=0.01697233865039244, score=0.672940 -   1.3s
[CV] c1=0.08199794608839168, c2=0.011596829954996526 .................
[CV]  c1=0.08199794608839168, c2=0.011596829954996526, score=0.903569 -   1.2s
[CV] c1=0.014293445288255985, c2=0.0026518008278089305 ...............
[CV]  c1=0.014293445288255985, c2=0.0026518008278089305, score=0.870445 -   1.2s
[CV] c1=0.2999290495471086, c2=0.045137832427793116 ..................
[CV]  c1=0.2999290495471086, c2=0.045137832427793116, score=0.699758 -   1.0s
[CV] c1=0.1769740001899864, c2=0.041239927180721184 ..................
[CV]  c1=0.1769740001899864, c2=0.041239927180721184, score=0.798088 -   1.4s
[CV] c1=1.4711680428394909, c2=0.0028530085913344968 .................
[CV]  c1=1.4711680428394909, c2=0.0028530085913344968, score=0.840709 -   1.2s
[CV] c1=1.0096638009996957, c2=0.24658603198932072 ...................
[CV]  c1=1.0096638009996957, c2=0.24658603198932072, score=0.633615 -   1.2s
[CV] c1=0.19908972830294, c2=0.0755823285657963 ......................
[CV]  c1=0.19908972830294, c2=0.0755823285657963, score=0.787733 -   1.3s
[CV] c1=0.4878323604607843, c2=0.027586465119483268 ..................
[CV]  c1=0.4878323604607843, c2=0.027586465119483268, score=0.719304 -   1.0s
[CV] c1=0.10433258850476057, c2=0.006168097835001583 .................
[CV]  c1=0.10433258850476057, c2=0.006168097835001583, score=0.812869 -   1.3s
[CV] c1=0.3125520162622316, c2=0.002816188824411844 ..................
[CV]  c1=0.3125520162622316, c2=0.002816188824411844, score=0.870765 -   1.2s
[CV] c1=0.817540051965912, c2=0.0041141191812147 .....................
[CV]  c1=0.817540051965912, c2=0.0041141191812147, score=0.702325 -   1.0s
[CV] c1=0.20685567789535406, c2=0.03123644190955728 ..................
[CV]  c1=0.20685567789535406, c2=0.03123644190955728, score=0.803391 -   1.2s
[CV] c1=1.194268712819326, c2=0.002111601897806666 ...................
[CV]  c1=1.194268712819326, c2=0.002111601897806666, score=0.860441 -   1.2s
[CV] c1=0.42416345987264437, c2=0.0656300703109306 ...................
[CV]  c1=0.42416345987264437, c2=0.0656300703109306, score=0.888841 -   1.3s
[CV] c1=0.192685495551757, c2=0.09444535695044358 ....................
[CV]  c1=0.192685495551757, c2=0.09444535695044358, score=0.785386 -   1.3s
[CV] c1=0.2606977748379257, c2=0.07960603250068207 ...................
[CV]  c1=0.2606977748379257, c2=0.07960603250068207, score=0.799807 -   1.4s
[CV] c1=1.0931024554848308, c2=0.016784017845288126 ..................
[CV]  c1=1.0931024554848308, c2=0.016784017845288126, score=0.627884 -   1.3s
[CV] c1=1.2209830178811576, c2=0.007618865827688214 ..................
[CV]  c1=1.2209830178811576, c2=0.007618865827688214, score=0.627884 -   1.3s
[CV] c1=0.46029642004094673, c2=0.10281654145713731 ..................
[CV]  c1=0.46029642004094673, c2=0.10281654145713731, score=0.792698 -   1.2s
[CV] c1=0.21755601190982582, c2=0.030518405436889464 .................
[CV]  c1=0.21755601190982582, c2=0.030518405436889464, score=0.719102 -   1.0s
[CV] c1=1.0178434076444824, c2=0.02995006954316406 ...................
[CV]  c1=1.0178434076444824, c2=0.02995006954316406, score=0.633739 -   1.4s
[CV] c1=0.03422722379147148, c2=0.07281306400766661 ..................
[CV]  c1=0.03422722379147148, c2=0.07281306400766661, score=0.760368 -   1.3s
[CV] c1=0.817540051965912, c2=0.0041141191812147 .....................
[CV]  c1=0.817540051965912, c2=0.0041141191812147, score=0.673114 -   1.3s
[CV] c1=0.5225447844725379, c2=0.1317217294326983 ....................
[CV]  c1=0.5225447844725379, c2=0.1317217294326983, score=0.668685 -   1.0s
[CV] c1=1.194268712819326, c2=0.002111601897806666 ...................
[CV]  c1=1.194268712819326, c2=0.002111601897806666, score=0.779947 -   1.1s
[CV] c1=0.42416345987264437, c2=0.0656300703109306 ...................
[CV]  c1=0.42416345987264437, c2=0.0656300703109306, score=0.733583 -   1.3s
[CV] c1=0.4518933716298782, c2=0.028143280425570932 ..................
[CV]  c1=0.4518933716298782, c2=0.028143280425570932, score=0.723065 -   1.2s
[CV] c1=0.01237949636847789, c2=0.07501253067348386 ..................
[CV]  c1=0.01237949636847789, c2=0.07501253067348386, score=0.849610 -   1.2s
[CV] c1=0.25336085858895946, c2=0.03687826757741486 ..................
[CV]  c1=0.25336085858895946, c2=0.03687826757741486, score=0.728894 -   1.0s
[CV] c1=1.2209830178811576, c2=0.007618865827688214 ..................
[CV]  c1=1.2209830178811576, c2=0.007618865827688214, score=0.856058 -   1.2s
[CV] c1=0.45482419210178165, c2=0.013110464269243907 .................
[CV]  c1=0.45482419210178165, c2=0.013110464269243907, score=0.757079 -   1.1s
[CV] c1=0.0023331525056745498, c2=0.03264268739751146 ................
[CV]  c1=0.0023331525056745498, c2=0.03264268739751146, score=0.802578 -   1.3s
[CV] c1=0.10433258850476057, c2=0.006168097835001583 .................
[CV]  c1=0.10433258850476057, c2=0.006168097835001583, score=0.867911 -   1.3s
[CV] c1=0.03422722379147148, c2=0.07281306400766661 ..................
[CV]  c1=0.03422722379147148, c2=0.07281306400766661, score=0.787131 -   1.3s
[CV] c1=0.817540051965912, c2=0.0041141191812147 .....................
[CV]  c1=0.817540051965912, c2=0.0041141191812147, score=0.863232 -   1.2s
[CV] c1=0.8927299059785582, c2=0.01697233865039244 ...................
[CV]  c1=0.8927299059785582, c2=0.01697233865039244, score=0.654074 -   1.0s
[CV] c1=0.45998012296866947, c2=0.0259574185333197 ...................
[CV]  c1=0.45998012296866947, c2=0.0259574185333197, score=0.798014 -   1.4s
[CV] c1=0.37110241491112095, c2=0.12464265646509914 ..................
[CV]  c1=0.37110241491112095, c2=0.12464265646509914, score=0.851424 -   1.2s
[CV] c1=0.192685495551757, c2=0.09444535695044358 ....................
[CV]  c1=0.192685495551757, c2=0.09444535695044358, score=0.803699 -   1.2s
[CV] c1=1.2139506843272276, c2=0.11706516917636325 ...................
[CV]  c1=1.2139506843272276, c2=0.11706516917636325, score=0.563824 -   1.3s
[CV] c1=1.0931024554848308, c2=0.016784017845288126 ..................
[CV]  c1=1.0931024554848308, c2=0.016784017845288126, score=0.779947 -   1.2s
[CV] c1=1.127780153675887, c2=0.008571861792052993 ...................
[CV]  c1=1.127780153675887, c2=0.008571861792052993, score=0.635197 -   1.3s
[CV] c1=0.07317374451841185, c2=0.013027740709477648 .................
[CV]  c1=0.07317374451841185, c2=0.013027740709477648, score=0.803391 -   1.4s
[CV] c1=0.7492450917744811, c2=0.30298192898033016 ...................
[CV]  c1=0.7492450917744811, c2=0.30298192898033016, score=0.839772 -   1.2s
[CV] c1=0.10433258850476057, c2=0.006168097835001583 .................
[CV]  c1=0.10433258850476057, c2=0.006168097835001583, score=0.799467 -   1.3s
[CV] c1=0.3125520162622316, c2=0.002816188824411844 ..................
[CV]  c1=0.3125520162622316, c2=0.002816188824411844, score=0.903226 -   1.3s
[CV] c1=0.817540051965912, c2=0.0041141191812147 .....................
[CV]  c1=0.817540051965912, c2=0.0041141191812147, score=0.814764 -   1.2s
[CV] c1=0.8927299059785582, c2=0.01697233865039244 ...................
[CV]  c1=0.8927299059785582, c2=0.01697233865039244, score=0.786703 -   1.2s
[CV] c1=0.2949536777760526, c2=0.1457623493064383 ....................
[CV]  c1=0.2949536777760526, c2=0.1457623493064383, score=0.740520 -   1.3s
[CV] c1=0.37110241491112095, c2=0.12464265646509914 ..................
[CV]  c1=0.37110241491112095, c2=0.12464265646509914, score=0.819981 -   1.2s
[CV] c1=0.4518933716298782, c2=0.028143280425570932 ..................
[CV]  c1=0.4518933716298782, c2=0.028143280425570932, score=0.855891 -   1.1s
[CV] c1=1.0489940205462738, c2=0.03176113688374108 ...................
[CV]  c1=1.0489940205462738, c2=0.03176113688374108, score=0.848271 -   1.2s
[CV] c1=0.9992122737739859, c2=0.025253110956616188 ..................
[CV]  c1=0.9992122737739859, c2=0.025253110956616188, score=0.643784 -   1.0s
[CV] c1=0.26532764111469703, c2=0.031077460985383793 .................
[CV]  c1=0.26532764111469703, c2=0.031077460985383793, score=0.723633 -   1.1s
[CV] c1=0.45482419210178165, c2=0.013110464269243907 .................
[CV]  c1=0.45482419210178165, c2=0.013110464269243907, score=0.739181 -   1.0s
[CV] c1=0.25074069196138327, c2=0.02767971244344382 ..................
[CV]  c1=0.25074069196138327, c2=0.02767971244344382, score=0.716467 -   0.9s
[CV] c1=0.09303139883132601, c2=0.037372217337095885 .................
[CV]  c1=0.09303139883132601, c2=0.037372217337095885, score=0.855151 -   1.2s
[CV] c1=0.22216697879316827, c2=0.12641445197697174 ..................
[CV]  c1=0.22216697879316827, c2=0.12641445197697174, score=0.785386 -   1.3s
[CV] c1=0.11527309375814619, c2=0.0007142903984410407 ................
[CV]  c1=0.11527309375814619, c2=0.0007142903984410407, score=0.866361 -   1.1s
[CV] c1=0.0329398951048407, c2=0.17928964182452956 ...................
[CV]  c1=0.0329398951048407, c2=0.17928964182452956, score=0.769689 -   1.3s
[CV] c1=1.549756546367746, c2=0.09980884734574436 ....................
[CV]  c1=1.549756546367746, c2=0.09980884734574436, score=0.747560 -   1.2s
[CV] c1=0.003335400885808935, c2=0.008153886951342674 ................
[CV]  c1=0.003335400885808935, c2=0.008153886951342674, score=0.758234 -   1.0s
[CV] c1=0.35671201635857924, c2=0.024002545807718614 .................
[CV]  c1=0.35671201635857924, c2=0.024002545807718614, score=0.902202 -   1.2s
[CV] c1=0.27691469493327403, c2=0.009402513955186043 .................
[CV]  c1=0.27691469493327403, c2=0.009402513955186043, score=0.736796 -   0.9s
[CV] c1=0.31861312601840946, c2=0.12120072071169374 ..................
[CV]  c1=0.31861312601840946, c2=0.12120072071169374, score=0.858797 -   1.1s
[CV] c1=0.19137944760401207, c2=0.1060060507688273 ...................
[CV]  c1=0.19137944760401207, c2=0.1060060507688273, score=0.767103 -   1.4s
[CV] c1=0.5077561117113805, c2=0.06468251192601603 ...................
[CV]  c1=0.5077561117113805, c2=0.06468251192601603, score=0.823115 -   1.2s
[CV] c1=0.6133095999068873, c2=0.05130290338531834 ...................
[CV]  c1=0.6133095999068873, c2=0.05130290338531834, score=0.774044 -   1.4s
[CV] c1=0.07008821642887259, c2=0.013612900465018922 .................
[CV]  c1=0.07008821642887259, c2=0.013612900465018922, score=0.803391 -   1.3s
[CV] c1=0.18480313524900868, c2=0.144702299722739 ....................
[CV]  c1=0.18480313524900868, c2=0.144702299722739, score=0.832330 -   1.3s
[CV] c1=0.40517417585521504, c2=0.07074782650959643 ..................
[CV]  c1=0.40517417585521504, c2=0.07074782650959643, score=0.888742 -   1.3s
[CV] c1=0.07493104506947067, c2=0.14116459084144103 ..................
[CV]  c1=0.07493104506947067, c2=0.14116459084144103, score=0.784742 -   1.4s
[CV] c1=0.1107202351031119, c2=0.01221596988521561 ...................
[CV]  c1=0.1107202351031119, c2=0.01221596988521561, score=0.865502 -   1.3s
[CV] c1=0.2949536777760526, c2=0.1457623493064383 ....................
[CV]  c1=0.2949536777760526, c2=0.1457623493064383, score=0.858952 -   1.4s
[CV] c1=0.014293445288255985, c2=0.0026518008278089305 ...............
[CV]  c1=0.014293445288255985, c2=0.0026518008278089305, score=0.788358 -   1.0s
[CV] c1=0.4518933716298782, c2=0.028143280425570932 ..................
[CV]  c1=0.4518933716298782, c2=0.028143280425570932, score=0.890410 -   1.3s
[CV] c1=1.2139506843272276, c2=0.11706516917636325 ...................
[CV]  c1=1.2139506843272276, c2=0.11706516917636325, score=0.594248 -   0.7s
[CV] c1=0.19137944760401207, c2=0.1060060507688273 ...................
[CV]  c1=0.19137944760401207, c2=0.1060060507688273, score=0.711043 -   1.0s
[CV] c1=0.9992122737739859, c2=0.025253110956616188 ..................
[CV]  c1=0.9992122737739859, c2=0.025253110956616188, score=0.786703 -   1.2s
[CV] c1=0.5331362068095788, c2=0.07960817796812274 ...................
[CV]  c1=0.5331362068095788, c2=0.07960817796812274, score=0.779509 -   1.1s
[CV] c1=0.1704305063239902, c2=0.04902352112602352 ...................
[CV]  c1=0.1704305063239902, c2=0.04902352112602352, score=0.711043 -   1.1s
[CV] c1=0.21755601190982582, c2=0.030518405436889464 .................
[CV]  c1=0.21755601190982582, c2=0.030518405436889464, score=0.899260 -   1.2s
[CV] c1=0.22982782334212634, c2=0.039971349972568876 .................
[CV]  c1=0.22982782334212634, c2=0.039971349972568876, score=0.716613 -   1.1s
[CV] c1=0.03422722379147148, c2=0.07281306400766661 ..................
[CV]  c1=0.03422722379147148, c2=0.07281306400766661, score=0.874397 -   1.3s
[CV] c1=1.0577282814901503, c2=0.004563324133922199 ..................
[CV]  c1=1.0577282814901503, c2=0.004563324133922199, score=0.633301 -   1.3s
[CV] c1=0.8927299059785582, c2=0.01697233865039244 ...................
[CV]  c1=0.8927299059785582, c2=0.01697233865039244, score=0.862075 -   1.4s
[CV] c1=0.2949536777760526, c2=0.1457623493064383 ....................
[CV]  c1=0.2949536777760526, c2=0.1457623493064383, score=0.782379 -   1.3s
[CV] c1=0.014293445288255985, c2=0.0026518008278089305 ...............
[CV]  c1=0.014293445288255985, c2=0.0026518008278089305, score=0.854148 -   1.2s
[CV] c1=0.2999290495471086, c2=0.045137832427793116 ..................
[CV]  c1=0.2999290495471086, c2=0.045137832427793116, score=0.857556 -   1.1s
[CV] c1=0.4751252798735379, c2=0.11107991643192612 ...................
[CV]  c1=0.4751252798735379, c2=0.11107991643192612, score=0.782379 -   1.2s
[CV] c1=1.4711680428394909, c2=0.0028530085913344968 .................
[CV]  c1=1.4711680428394909, c2=0.0028530085913344968, score=0.589635 -   1.0s
[CV] c1=0.26532764111469703, c2=0.031077460985383793 .................
[CV]  c1=0.26532764111469703, c2=0.031077460985383793, score=0.908748 -   1.2s
[CV] c1=0.46029642004094673, c2=0.10281654145713731 ..................
[CV]  c1=0.46029642004094673, c2=0.10281654145713731, score=0.678162 -   1.0s
[CV] c1=0.0023331525056745498, c2=0.03264268739751146 ................
[CV]  c1=0.0023331525056745498, c2=0.03264268739751146, score=0.878020 -   1.2s
[CV] c1=1.0178434076444824, c2=0.02995006954316406 ...................
[CV]  c1=1.0178434076444824, c2=0.02995006954316406, score=0.635204 -   0.9s
[CV] c1=1.4748667113035918, c2=0.10169260625547337 ...................
[CV]  c1=1.4748667113035918, c2=0.10169260625547337, score=0.620797 -   1.3s
[CV] c1=0.6820788522831922, c2=0.03838234509363 ......................
[CV]  c1=0.6820788522831922, c2=0.03838234509363, score=0.684609 -   1.2s
[CV] c1=0.45431027443887256, c2=0.014743560635977588 .................
[CV]  c1=0.45431027443887256, c2=0.014743560635977588, score=0.794430 -   1.3s
[CV] c1=0.4591846866867121, c2=0.06593113945893257 ...................
[CV]  c1=0.4591846866867121, c2=0.06593113945893257, score=0.727473 -   1.4s
[CV] c1=0.5666324662468307, c2=0.04669824744189712 ...................
[CV]  c1=0.5666324662468307, c2=0.04669824744189712, score=0.713036 -   1.2s
[CV] c1=0.2539787551828269, c2=0.10024261218651523 ...................
[CV]  c1=0.2539787551828269, c2=0.10024261218651523, score=0.774337 -   1.3s
[CV] c1=0.22129195374355565, c2=0.04730480352759837 ..................
[CV]  c1=0.22129195374355565, c2=0.04730480352759837, score=0.793437 -   1.3s
[CV] c1=0.13144954405592912, c2=0.05608862530171164 ..................
[CV]  c1=0.13144954405592912, c2=0.05608862530171164, score=0.879215 -   1.2s
[CV] c1=1.2209830178811576, c2=0.007618865827688214 ..................
[CV]  c1=1.2209830178811576, c2=0.007618865827688214, score=0.629979 -   1.0s
[CV] c1=0.10625827723808744, c2=0.04086897050551206 ..................
[CV]  c1=0.10625827723808744, c2=0.04086897050551206, score=0.857987 -   1.2s
[CV] c1=0.07008821642887259, c2=0.013612900465018922 .................
[CV]  c1=0.07008821642887259, c2=0.013612900465018922, score=0.865502 -   1.2s
[CV] c1=0.18639228816957745, c2=0.2335234093472913 ...................
[CV]  c1=0.18639228816957745, c2=0.2335234093472913, score=0.732462 -   1.3s
[CV] c1=1.4748667113035918, c2=0.10169260625547337 ...................
[CV]  c1=1.4748667113035918, c2=0.10169260625547337, score=0.544750 -   1.3s
[CV] c1=0.24766906260933258, c2=0.003187292727570713 .................
[CV]  c1=0.24766906260933258, c2=0.003187292727570713, score=0.720534 -   1.0s
[CV] c1=0.0454619137432587, c2=0.044358615295553884 ..................
[CV]  c1=0.0454619137432587, c2=0.044358615295553884, score=0.857738 -   1.2s
[CV] c1=1.549756546367746, c2=0.09980884734574436 ....................
[CV]  c1=1.549756546367746, c2=0.09980884734574436, score=0.546978 -   1.0s
[CV] c1=0.6386340441559737, c2=0.07860313576003898 ...................
[CV]  c1=0.6386340441559737, c2=0.07860313576003898, score=0.866261 -   1.2s
[CV] c1=0.35671201635857924, c2=0.024002545807718614 .................
[CV]  c1=0.35671201635857924, c2=0.024002545807718614, score=0.720460 -   1.0s
[CV] c1=0.2999290495471086, c2=0.045137832427793116 ..................
[CV]  c1=0.2999290495471086, c2=0.045137832427793116, score=0.892505 -   1.2s
[CV] c1=1.0489940205462738, c2=0.03176113688374108 ...................
[CV]  c1=1.0489940205462738, c2=0.03176113688374108, score=0.640530 -   1.2s
[CV] c1=0.9992122737739859, c2=0.025253110956616188 ..................
[CV]  c1=0.9992122737739859, c2=0.025253110956616188, score=0.633739 -   1.3s
[CV] c1=0.24965353745044339, c2=0.06521292334929078 ..................
[CV]  c1=0.24965353745044339, c2=0.06521292334929078, score=0.910372 -   1.2s
[CV] c1=0.1704305063239902, c2=0.04902352112602352 ...................
[CV]  c1=0.1704305063239902, c2=0.04902352112602352, score=0.852124 -   1.2s
[CV] c1=0.4878323604607843, c2=0.027586465119483268 ..................
[CV]  c1=0.4878323604607843, c2=0.027586465119483268, score=0.723065 -   1.3s
[CV] c1=1.6773003562710558, c2=0.0036549201358902295 .................
[CV]  c1=1.6773003562710558, c2=0.0036549201358902295, score=0.537839 -   1.3s
[CV] c1=0.18157538299723475, c2=0.04421805859246227 ..................
[CV]  c1=0.18157538299723475, c2=0.04421805859246227, score=0.886597 -   1.2s
[CV] c1=0.0329398951048407, c2=0.17928964182452956 ...................
[CV]  c1=0.0329398951048407, c2=0.17928964182452956, score=0.872534 -   1.2s
[CV] c1=0.6750775698713195, c2=0.004516005059272041 ..................
[CV]  c1=0.6750775698713195, c2=0.004516005059272041, score=0.716406 -   1.0s
[CV] c1=0.2949536777760526, c2=0.1457623493064383 ....................
[CV]  c1=0.2949536777760526, c2=0.1457623493064383, score=0.835795 -   1.2s
[CV] c1=0.37110241491112095, c2=0.12464265646509914 ..................
[CV]  c1=0.37110241491112095, c2=0.12464265646509914, score=0.738157 -   1.3s
[CV] c1=0.4518933716298782, c2=0.028143280425570932 ..................
[CV]  c1=0.4518933716298782, c2=0.028143280425570932, score=0.794739 -   1.2s
[CV] c1=0.01237949636847789, c2=0.07501253067348386 ..................
[CV]  c1=0.01237949636847789, c2=0.07501253067348386, score=0.760368 -   1.3s
[CV] c1=0.9992122737739859, c2=0.025253110956616188 ..................
[CV]  c1=0.9992122737739859, c2=0.025253110956616188, score=0.855158 -   1.2s
[CV] c1=0.5331362068095788, c2=0.07960817796812274 ...................
[CV]  c1=0.5331362068095788, c2=0.07960817796812274, score=0.868112 -   1.2s
[CV] c1=0.1704305063239902, c2=0.04902352112602352 ...................
[CV]  c1=0.1704305063239902, c2=0.04902352112602352, score=0.795784 -   1.3s
[CV] c1=0.4878323604607843, c2=0.027586465119483268 ..................
[CV]  c1=0.4878323604607843, c2=0.027586465119483268, score=0.794430 -   1.3s
[CV] c1=0.21241599300675976, c2=0.08748219921477295 ..................
[CV]  c1=0.21241599300675976, c2=0.08748219921477295, score=0.886076 -   1.3s
[CV] c1=0.18157538299723475, c2=0.04421805859246227 ..................
[CV]  c1=0.18157538299723475, c2=0.04421805859246227, score=0.690095 -   1.0s
[CV] c1=0.3331438602628524, c2=0.07628919324233911 ...................
[CV]  c1=0.3331438602628524, c2=0.07628919324233911, score=0.682155 -   0.9s
[CV] c1=0.1107202351031119, c2=0.01221596988521561 ...................
[CV]  c1=0.1107202351031119, c2=0.01221596988521561, score=0.880483 -   1.3s
[CV] c1=1.194268712819326, c2=0.002111601897806666 ...................
[CV]  c1=1.194268712819326, c2=0.002111601897806666, score=0.633301 -   1.2s
[CV] c1=0.42416345987264437, c2=0.0656300703109306 ...................
[CV]  c1=0.42416345987264437, c2=0.0656300703109306, score=0.840974 -   1.2s
[CV] c1=0.192685495551757, c2=0.09444535695044358 ....................
[CV]  c1=0.192685495551757, c2=0.09444535695044358, score=0.857942 -   1.2s
[CV] c1=0.4751252798735379, c2=0.11107991643192612 ...................
[CV]  c1=0.4751252798735379, c2=0.11107991643192612, score=0.777576 -   1.2s
[CV] c1=1.4711680428394909, c2=0.0028530085913344968 .................
[CV]  c1=1.4711680428394909, c2=0.0028530085913344968, score=0.733134 -   1.1s
[CV] c1=1.0096638009996957, c2=0.24658603198932072 ...................
[CV]  c1=1.0096638009996957, c2=0.24658603198932072, score=0.835414 -   1.2s
[CV] c1=0.19908972830294, c2=0.0755823285657963 ......................
[CV]  c1=0.19908972830294, c2=0.0755823285657963, score=0.882173 -   1.3s
[CV] c1=0.21755601190982582, c2=0.030518405436889464 .................
[CV]  c1=0.21755601190982582, c2=0.030518405436889464, score=0.847968 -   1.2s
[CV] c1=0.22982782334212634, c2=0.039971349972568876 .................
[CV]  c1=0.22982782334212634, c2=0.039971349972568876, score=0.793437 -   1.3s
[CV] c1=0.4550434219956808, c2=0.1076209530549174 ....................
[CV]  c1=0.4550434219956808, c2=0.1076209530549174, score=0.844120 -   1.2s
[CV] c1=0.817540051965912, c2=0.0041141191812147 .....................
[CV]  c1=0.817540051965912, c2=0.0041141191812147, score=0.762368 -   1.3s
[CV] c1=0.5225447844725379, c2=0.1317217294326983 ....................
[CV]  c1=0.5225447844725379, c2=0.1317217294326983, score=0.691242 -   1.3s
[CV] c1=0.08199794608839168, c2=0.011596829954996526 .................
[CV]  c1=0.08199794608839168, c2=0.011596829954996526, score=0.844936 -   1.3s
[CV] c1=0.35671201635857924, c2=0.024002545807718614 .................
[CV]  c1=0.35671201635857924, c2=0.024002545807718614, score=0.793437 -   1.3s
[CV] c1=0.27691469493327403, c2=0.009402513955186043 .................
[CV]  c1=0.27691469493327403, c2=0.009402513955186043, score=0.847968 -   1.0s
[CV] c1=1.0489940205462738, c2=0.03176113688374108 ...................
[CV]  c1=1.0489940205462738, c2=0.03176113688374108, score=0.633739 -   1.2s
[CV] c1=0.19269028461074456, c2=0.012777379808540337 .................
[CV]  c1=0.19269028461074456, c2=0.012777379808540337, score=0.901503 -   1.3s
[CV] c1=0.24965353745044339, c2=0.06521292334929078 ..................
[CV]  c1=0.24965353745044339, c2=0.06521292334929078, score=0.700216 -   1.1s
[CV] c1=1.5635260584006245, c2=0.06699444284062765 ...................
[CV]  c1=1.5635260584006245, c2=0.06699444284062765, score=0.762441 -   1.2s
[CV] c1=0.9298542943474559, c2=0.013485239893926219 ..................
[CV]  c1=0.9298542943474559, c2=0.013485239893926219, score=0.864287 -   1.3s
[CV] c1=0.21241599300675976, c2=0.08748219921477295 ..................
[CV]  c1=0.21241599300675976, c2=0.08748219921477295, score=0.704539 -   1.0s
[CV] c1=0.3125520162622316, c2=0.002816188824411844 ..................
[CV]  c1=0.3125520162622316, c2=0.002816188824411844, score=0.797402 -   1.3s
[CV] c1=0.3331438602628524, c2=0.07628919324233911 ...................
[CV]  c1=0.3331438602628524, c2=0.07628919324233911, score=0.879530 -   1.2s
[CV] c1=0.5225447844725379, c2=0.1317217294326983 ....................
[CV]  c1=0.5225447844725379, c2=0.1317217294326983, score=0.841770 -   1.3s
[CV] c1=0.08199794608839168, c2=0.011596829954996526 .................
[CV]  c1=0.08199794608839168, c2=0.011596829954996526, score=0.801856 -   1.2s
[CV] c1=0.014293445288255985, c2=0.0026518008278089305 ...............
[CV]  c1=0.014293445288255985, c2=0.0026518008278089305, score=0.772021 -   1.3s
[CV] c1=0.27691469493327403, c2=0.009402513955186043 .................
[CV]  c1=0.27691469493327403, c2=0.009402513955186043, score=0.799424 -   1.0s
[CV] c1=0.01237949636847789, c2=0.07501253067348386 ..................
[CV]  c1=0.01237949636847789, c2=0.07501253067348386, score=0.755532 -   1.0s
[CV] c1=0.0747253981774921, c2=0.0018031315319789439 .................
[CV]  c1=0.0747253981774921, c2=0.0018031315319789439, score=0.789741 -   1.2s
[CV] c1=1.127780153675887, c2=0.008571861792052993 ...................
[CV]  c1=1.127780153675887, c2=0.008571861792052993, score=0.635204 -   0.9s
[CV] c1=0.6133095999068873, c2=0.05130290338531834 ...................
[CV]  c1=0.6133095999068873, c2=0.05130290338531834, score=0.702854 -   1.2s
[CV] c1=0.5260580020827927, c2=0.0906031082855851 ....................
[CV]  c1=0.5260580020827927, c2=0.0906031082855851, score=0.782379 -   1.2s
[CV] c1=0.18639228816957745, c2=0.2335234093472913 ...................
[CV]  c1=0.18639228816957745, c2=0.2335234093472913, score=0.699391 -   1.0s
[CV] c1=0.21241599300675976, c2=0.08748219921477295 ..................
[CV]  c1=0.21241599300675976, c2=0.08748219921477295, score=0.785386 -   1.3s
[CV] c1=0.18157538299723475, c2=0.04421805859246227 ..................
[CV]  c1=0.18157538299723475, c2=0.04421805859246227, score=0.857556 -   1.4s
[CV] c1=0.0454619137432587, c2=0.044358615295553884 ..................
[CV]  c1=0.0454619137432587, c2=0.044358615295553884, score=0.797791 -   1.3s
[CV] c1=1.549756546367746, c2=0.09980884734574436 ....................
[CV]  c1=1.549756546367746, c2=0.09980884734574436, score=0.554395 -   1.3s
[CV] c1=0.05596511665264958, c2=0.051797454440495196 .................
[CV]  c1=0.05596511665264958, c2=0.051797454440495196, score=0.708582 -   1.0s
[CV] c1=0.11689294009113, c2=0.03609074954698069 .....................
[CV]  c1=0.11689294009113, c2=0.03609074954698069, score=0.874011 -   1.2s
[CV] c1=0.16453096552676025, c2=0.01919664987800629 ..................
[CV]  c1=0.16453096552676025, c2=0.01919664987800629, score=0.904464 -   1.0s
[CV] c1=0.22129195374355565, c2=0.04730480352759837 ..................
[CV]  c1=0.22129195374355565, c2=0.04730480352759837, score=0.703549 -   1.0s
[CV] c1=0.6149492540855628, c2=0.11734002233546502 ...................
[CV]  c1=0.6149492540855628, c2=0.11734002233546502, score=0.763080 -   1.3s
[CV] c1=0.4981085066844368, c2=0.06209102851381553 ...................
[CV]  c1=0.4981085066844368, c2=0.06209102851381553, score=0.835936 -   1.2s
[CV] c1=0.07317374451841185, c2=0.013027740709477648 .................
[CV]  c1=0.07317374451841185, c2=0.013027740709477648, score=0.881721 -   1.3s
[CV] c1=0.0023331525056745498, c2=0.03264268739751146 ................
[CV]  c1=0.0023331525056745498, c2=0.03264268739751146, score=0.746457 -   1.0s
[CV] c1=0.18480313524900868, c2=0.144702299722739 ....................
[CV]  c1=0.18480313524900868, c2=0.144702299722739, score=0.890249 -   1.3s
[CV] c1=0.2062466376186723, c2=0.04697563303419973 ...................
[CV]  c1=0.2062466376186723, c2=0.04697563303419973, score=0.696964 -   1.1s
[CV] c1=0.11527309375814619, c2=0.0007142903984410407 ................
[CV]  c1=0.11527309375814619, c2=0.0007142903984410407, score=0.827527 -   1.3s
[CV] c1=0.45431027443887256, c2=0.014743560635977588 .................
[CV]  c1=0.45431027443887256, c2=0.014743560635977588, score=0.897529 -   1.3s
[CV] c1=0.2394665043790539, c2=0.02497526379759795 ...................
[CV]  c1=0.2394665043790539, c2=0.02497526379759795, score=0.733375 -   1.0s
[CV] c1=0.003335400885808935, c2=0.008153886951342674 ................
[CV]  c1=0.003335400885808935, c2=0.008153886951342674, score=0.852547 -   1.2s
[CV] c1=0.11689294009113, c2=0.03609074954698069 .....................
[CV]  c1=0.11689294009113, c2=0.03609074954698069, score=0.712219 -   1.0s
[CV] c1=0.27691469493327403, c2=0.009402513955186043 .................
[CV]  c1=0.27691469493327403, c2=0.009402513955186043, score=0.907129 -   1.1s
[CV] c1=1.2139506843272276, c2=0.11706516917636325 ...................
[CV]  c1=1.2139506843272276, c2=0.11706516917636325, score=0.853230 -   1.2s
[CV] c1=0.0747253981774921, c2=0.0018031315319789439 .................
[CV]  c1=0.0747253981774921, c2=0.0018031315319789439, score=0.791374 -   1.3s
[CV] c1=0.4981085066844368, c2=0.06209102851381553 ...................
[CV]  c1=0.4981085066844368, c2=0.06209102851381553, score=0.782379 -   1.3s
[CV] c1=0.07317374451841185, c2=0.013027740709477648 .................
[CV]  c1=0.07317374451841185, c2=0.013027740709477648, score=0.860542 -   1.0s
[CV] c1=0.07008821642887259, c2=0.013612900465018922 .................
[CV]  c1=0.07008821642887259, c2=0.013612900465018922, score=0.805683 -   1.3s
[CV] c1=0.18639228816957745, c2=0.2335234093472913 ...................
[CV]  c1=0.18639228816957745, c2=0.2335234093472913, score=0.733863 -   1.3s
[CV] c1=0.2062466376186723, c2=0.04697563303419973 ...................
[CV]  c1=0.2062466376186723, c2=0.04697563303419973, score=0.795784 -   1.3s
[CV] c1=0.07493104506947067, c2=0.14116459084144103 ..................
[CV]  c1=0.07493104506947067, c2=0.14116459084144103, score=0.700855 -   1.0s
[CV] c1=0.45431027443887256, c2=0.014743560635977588 .................
[CV]  c1=0.45431027443887256, c2=0.014743560635977588, score=0.856969 -   1.2s
[CV] c1=0.2394665043790539, c2=0.02497526379759795 ...................
[CV]  c1=0.2394665043790539, c2=0.02497526379759795, score=0.865502 -   1.3s
[CV] c1=0.05596511665264958, c2=0.051797454440495196 .................
[CV]  c1=0.05596511665264958, c2=0.051797454440495196, score=0.857738 -   1.2s
[CV] c1=0.787936167347692, c2=0.22255172323276626 ....................
[CV]  c1=0.787936167347692, c2=0.22255172323276626, score=0.607324 -   1.0s
[CV] c1=0.16453096552676025, c2=0.01919664987800629 ..................
[CV]  c1=0.16453096552676025, c2=0.01919664987800629, score=0.728047 -   0.9s
[CV] c1=0.1769740001899864, c2=0.041239927180721184 ..................
[CV]  c1=0.1769740001899864, c2=0.041239927180721184, score=0.899260 -   1.3s
[CV] c1=0.13144954405592912, c2=0.05608862530171164 ..................
[CV]  c1=0.13144954405592912, c2=0.05608862530171164, score=0.770687 -   1.3s
[CV] c1=0.26532764111469703, c2=0.031077460985383793 .................
[CV]  c1=0.26532764111469703, c2=0.031077460985383793, score=0.862085 -   1.2s
[CV] c1=0.46029642004094673, c2=0.10281654145713731 ..................
[CV]  c1=0.46029642004094673, c2=0.10281654145713731, score=0.782379 -   1.3s
[CV] c1=0.21755601190982582, c2=0.030518405436889464 .................
[CV]  c1=0.21755601190982582, c2=0.030518405436889464, score=0.803391 -   1.3s
[CV] c1=1.6773003562710558, c2=0.0036549201358902295 .................
[CV]  c1=1.6773003562710558, c2=0.0036549201358902295, score=0.615283 -   1.3s
[CV] c1=0.4550434219956808, c2=0.1076209530549174 ....................
[CV]  c1=0.4550434219956808, c2=0.1076209530549174, score=0.703565 -   1.3s
[CV] c1=0.3331438602628524, c2=0.07628919324233911 ...................
[CV]  c1=0.3331438602628524, c2=0.07628919324233911, score=0.794739 -   1.3s
[CV] c1=0.6750775698713195, c2=0.004516005059272041 ..................
[CV]  c1=0.6750775698713195, c2=0.004516005059272041, score=0.874777 -   1.3s
[CV] c1=0.6386340441559737, c2=0.07860313576003898 ...................
[CV]  c1=0.6386340441559737, c2=0.07860313576003898, score=0.680792 -   1.0s
[CV] c1=0.37110241491112095, c2=0.12464265646509914 ..................
[CV]  c1=0.37110241491112095, c2=0.12464265646509914, score=0.782379 -   1.3s
[CV] c1=0.2999290495471086, c2=0.045137832427793116 ..................
[CV]  c1=0.2999290495471086, c2=0.045137832427793116, score=0.793437 -   1.2s
[CV] c1=0.22129195374355565, c2=0.04730480352759837 ..................
[CV]  c1=0.22129195374355565, c2=0.04730480352759837, score=0.912933 -   1.3s
[CV] c1=1.0931024554848308, c2=0.016784017845288126 ..................
[CV]  c1=1.0931024554848308, c2=0.016784017845288126, score=0.633301 -   1.2s
[CV] c1=1.127780153675887, c2=0.008571861792052993 ...................
[CV]  c1=1.127780153675887, c2=0.008571861792052993, score=0.627647 -   1.3s
[CV] c1=0.45482419210178165, c2=0.013110464269243907 .................
[CV]  c1=0.45482419210178165, c2=0.013110464269243907, score=0.798014 -   1.3s
[CV] c1=0.21755601190982582, c2=0.030518405436889464 .................
[CV]  c1=0.21755601190982582, c2=0.030518405436889464, score=0.793437 -   1.3s
[CV] c1=0.22982782334212634, c2=0.039971349972568876 .................
[CV]  c1=0.22982782334212634, c2=0.039971349972568876, score=0.803391 -   1.4s
[CV] c1=0.4550434219956808, c2=0.1076209530549174 ....................
[CV]  c1=0.4550434219956808, c2=0.1076209530549174, score=0.784667 -   1.2s
[CV] c1=0.3331438602628524, c2=0.07628919324233911 ...................
[CV]  c1=0.3331438602628524, c2=0.07628919324233911, score=0.831179 -   1.2s
[CV] c1=0.5225447844725379, c2=0.1317217294326983 ....................
[CV]  c1=0.5225447844725379, c2=0.1317217294326983, score=0.770434 -   1.2s
[CV] c1=0.08199794608839168, c2=0.011596829954996526 .................
[CV]  c1=0.08199794608839168, c2=0.011596829954996526, score=0.855151 -   1.2s
[CV] c1=0.014293445288255985, c2=0.0026518008278089305 ...............
[CV]  c1=0.014293445288255985, c2=0.0026518008278089305, score=0.827627 -   1.3s
[CV] c1=0.2999290495471086, c2=0.045137832427793116 ..................
[CV]  c1=0.2999290495471086, c2=0.045137832427793116, score=0.803391 -   1.2s
[CV] c1=0.4751252798735379, c2=0.11107991643192612 ...................
[CV]  c1=0.4751252798735379, c2=0.11107991643192612, score=0.697478 -   1.2s
[CV] c1=1.4711680428394909, c2=0.0028530085913344968 .................
[CV]  c1=1.4711680428394909, c2=0.0028530085913344968, score=0.563897 -   1.2s
[CV] c1=0.5331362068095788, c2=0.07960817796812274 ...................
[CV]  c1=0.5331362068095788, c2=0.07960817796812274, score=0.688930 -   1.0s
[CV] c1=0.46029642004094673, c2=0.10281654145713731 ..................
[CV]  c1=0.46029642004094673, c2=0.10281654145713731, score=0.703565 -   1.2s
[CV] c1=0.7492450917744811, c2=0.30298192898033016 ...................
[CV]  c1=0.7492450917744811, c2=0.30298192898033016, score=0.607289 -   1.3s
[CV] c1=0.22982782334212634, c2=0.039971349972568876 .................
[CV]  c1=0.22982782334212634, c2=0.039971349972568876, score=0.862518 -   1.3s
[CV] c1=0.3125520162622316, c2=0.002816188824411844 ..................
[CV]  c1=0.3125520162622316, c2=0.002816188824411844, score=0.803391 -   1.3s
[CV] c1=0.3331438602628524, c2=0.07628919324233911 ...................
[CV]  c1=0.3331438602628524, c2=0.07628919324233911, score=0.759523 -   1.3s
[CV] c1=0.5225447844725379, c2=0.1317217294326983 ....................
[CV]  c1=0.5225447844725379, c2=0.1317217294326983, score=0.773805 -   1.3s
[CV] c1=0.6386340441559737, c2=0.07860313576003898 ...................
[CV]  c1=0.6386340441559737, c2=0.07860313576003898, score=0.687072 -   1.2s
[CV] c1=0.35671201635857924, c2=0.024002545807718614 .................
[CV]  c1=0.35671201635857924, c2=0.024002545807718614, score=0.868690 -   1.3s
[CV] c1=0.27691469493327403, c2=0.009402513955186043 .................
[CV]  c1=0.27691469493327403, c2=0.009402513955186043, score=0.803391 -   1.1s
[CV] c1=0.31861312601840946, c2=0.12120072071169374 ..................
[CV]  c1=0.31861312601840946, c2=0.12120072071169374, score=0.742233 -   1.2s
[CV] c1=0.6149492540855628, c2=0.11734002233546502 ...................
[CV]  c1=0.6149492540855628, c2=0.11734002233546502, score=0.671445 -   1.1s
[CV] c1=0.19269028461074456, c2=0.012777379808540337 .................
[CV]  c1=0.19269028461074456, c2=0.012777379808540337, score=0.799424 -   1.3s
[CV] c1=0.6133095999068873, c2=0.05130290338531834 ...................
[CV]  c1=0.6133095999068873, c2=0.05130290338531834, score=0.867730 -   1.2s
[CV] c1=0.5260580020827927, c2=0.0906031082855851 ....................
[CV]  c1=0.5260580020827927, c2=0.0906031082855851, score=0.680792 -   1.1s
[CV] c1=0.9298542943474559, c2=0.013485239893926219 ..................
[CV]  c1=0.9298542943474559, c2=0.013485239893926219, score=0.670876 -   1.3s
[CV] c1=0.22216697879316827, c2=0.12641445197697174 ..................
[CV]  c1=0.22216697879316827, c2=0.12641445197697174, score=0.886150 -   1.4s
[CV] c1=0.6820788522831922, c2=0.03838234509363 ......................
[CV]  c1=0.6820788522831922, c2=0.03838234509363, score=0.866425 -   1.2s
[CV] c1=0.45431027443887256, c2=0.014743560635977588 .................
[CV]  c1=0.45431027443887256, c2=0.014743560635977588, score=0.749263 -   1.3s
[CV] c1=0.4591846866867121, c2=0.06593113945893257 ...................
[CV]  c1=0.4591846866867121, c2=0.06593113945893257, score=0.884130 -   1.3s
[CV] c1=0.5275234660218101, c2=0.011187437723769605 ..................
[CV]  c1=0.5275234660218101, c2=0.011187437723769605, score=0.733547 -   1.0s
[CV] c1=0.787936167347692, c2=0.22255172323276626 ....................
[CV]  c1=0.787936167347692, c2=0.22255172323276626, score=0.844649 -   1.3s
[CV] c1=0.6248880363266621, c2=0.04353505106016606 ...................
[CV]  c1=0.6248880363266621, c2=0.04353505106016606, score=0.698101 -   0.9s
[CV] c1=0.01237949636847789, c2=0.07501253067348386 ..................
[CV]  c1=0.01237949636847789, c2=0.07501253067348386, score=0.798894 -   1.3s
[CV] c1=0.25336085858895946, c2=0.03687826757741486 ..................
[CV]  c1=0.25336085858895946, c2=0.03687826757741486, score=0.803391 -   1.3s
[CV] c1=1.0096638009996957, c2=0.24658603198932072 ...................
[CV]  c1=1.0096638009996957, c2=0.24658603198932072, score=0.594100 -   1.2s
[CV] c1=0.1704305063239902, c2=0.04902352112602352 ...................
[CV]  c1=0.1704305063239902, c2=0.04902352112602352, score=0.886597 -   1.2s
[CV] c1=0.4878323604607843, c2=0.027586465119483268 ..................
[CV]  c1=0.4878323604607843, c2=0.027586465119483268, score=0.894910 -   1.2s
[CV] c1=1.6773003562710558, c2=0.0036549201358902295 .................
[CV]  c1=1.6773003562710558, c2=0.0036549201358902295, score=0.548138 -   1.0s
[CV] c1=0.03422722379147148, c2=0.07281306400766661 ..................
[CV]  c1=0.03422722379147148, c2=0.07281306400766661, score=0.750189 -   1.0s
[CV] c1=0.07493104506947067, c2=0.14116459084144103 ..................
[CV]  c1=0.07493104506947067, c2=0.14116459084144103, score=0.872534 -   1.2s
[CV] c1=0.9687116108063709, c2=0.048661210794563405 ..................
[CV]  c1=0.9687116108063709, c2=0.048661210794563405, score=0.633739 -   1.3s
[CV] c1=0.45998012296866947, c2=0.0259574185333197 ...................
[CV]  c1=0.45998012296866947, c2=0.0259574185333197, score=0.864609 -   1.2s
[CV] c1=0.5666324662468307, c2=0.04669824744189712 ...................
[CV]  c1=0.5666324662468307, c2=0.04669824744189712, score=0.814764 -   1.2s
[CV] c1=0.2539787551828269, c2=0.10024261218651523 ...................
[CV]  c1=0.2539787551828269, c2=0.10024261218651523, score=0.696465 -   1.0s
[CV] c1=0.6248880363266621, c2=0.04353505106016606 ...................
[CV]  c1=0.6248880363266621, c2=0.04353505106016606, score=0.808735 -   0.8s
[CV] c1=0.31861312601840946, c2=0.12120072071169374 ..................
[CV]  c1=0.31861312601840946, c2=0.12120072071169374, score=0.820389 -   1.0s
[CV] c1=0.19137944760401207, c2=0.1060060507688273 ...................
[CV]  c1=0.19137944760401207, c2=0.1060060507688273, score=0.787691 -   1.3s
[CV] c1=0.5077561117113805, c2=0.06468251192601603 ...................
[CV]  c1=0.5077561117113805, c2=0.06468251192601603, score=0.877831 -   1.3s
[CV] c1=0.6133095999068873, c2=0.05130290338531834 ...................
[CV]  c1=0.6133095999068873, c2=0.05130290338531834, score=0.802182 -   1.2s
[CV] c1=0.5260580020827927, c2=0.0906031082855851 ....................
[CV]  c1=0.5260580020827927, c2=0.0906031082855851, score=0.775374 -   1.2s
[CV] c1=0.18639228816957745, c2=0.2335234093472913 ...................
[CV]  c1=0.18639228816957745, c2=0.2335234093472913, score=0.859757 -   1.2s
[CV] c1=1.4748667113035918, c2=0.10169260625547337 ...................
[CV]  c1=1.4748667113035918, c2=0.10169260625547337, score=0.754102 -   1.4s
[CV] c1=0.6820788522831922, c2=0.03838234509363 ......................
[CV]  c1=0.6820788522831922, c2=0.03838234509363, score=0.808735 -   1.2s
[CV] c1=0.9687116108063709, c2=0.048661210794563405 ..................
[CV]  c1=0.9687116108063709, c2=0.048661210794563405, score=0.857265 -   1.3s
[CV] c1=0.4591846866867121, c2=0.06593113945893257 ...................
[CV]  c1=0.4591846866867121, c2=0.06593113945893257, score=0.824093 -   1.3s
[CV] c1=0.5666324662468307, c2=0.04669824744189712 ...................
[CV]  c1=0.5666324662468307, c2=0.04669824744189712, score=0.713804 -   1.1s
[CV] c1=0.31221250302216436, c2=0.14805994066445172 ..................
[CV]  c1=0.31221250302216436, c2=0.14805994066445172, score=0.692236 -   1.0s
[CV] c1=0.16453096552676025, c2=0.01919664987800629 ..................
[CV]  c1=0.16453096552676025, c2=0.01919664987800629, score=0.860111 -   0.9s
[CV] c1=1.2139506843272276, c2=0.11706516917636325 ...................
[CV]  c1=1.2139506843272276, c2=0.11706516917636325, score=0.622844 -   1.3s
[CV] c1=1.0931024554848308, c2=0.016784017845288126 ..................
[CV]  c1=1.0931024554848308, c2=0.016784017845288126, score=0.860845 -   1.3s
[CV] c1=1.127780153675887, c2=0.008571861792052993 ...................
[CV]  c1=1.127780153675887, c2=0.008571861792052993, score=0.779947 -   1.1s
[CV] c1=0.07317374451841185, c2=0.013027740709477648 .................
[CV]  c1=0.07317374451841185, c2=0.013027740709477648, score=0.725630 -   1.0s
[CV] c1=0.07008821642887259, c2=0.013612900465018922 .................
[CV]  c1=0.07008821642887259, c2=0.013612900465018922, score=0.881721 -   1.3s
[CV] c1=0.18639228816957745, c2=0.2335234093472913 ...................
[CV]  c1=0.18639228816957745, c2=0.2335234093472913, score=0.811926 -   1.2s
[CV] c1=1.4748667113035918, c2=0.10169260625547337 ...................
[CV]  c1=1.4748667113035918, c2=0.10169260625547337, score=0.717630 -   1.2s
[CV] c1=0.6820788522831922, c2=0.03838234509363 ......................
[CV]  c1=0.6820788522831922, c2=0.03838234509363, score=0.690070 -   1.0s
[CV] c1=0.0329398951048407, c2=0.17928964182452956 ...................
[CV]  c1=0.0329398951048407, c2=0.17928964182452956, score=0.849610 -   1.5s
[CV] c1=0.2394665043790539, c2=0.02497526379759795 ...................
[CV]  c1=0.2394665043790539, c2=0.02497526379759795, score=0.795741 -   1.3s
[CV] c1=0.5275234660218101, c2=0.011187437723769605 ..................
[CV]  c1=0.5275234660218101, c2=0.011187437723769605, score=0.883242 -   1.2s
[CV] c1=0.31221250302216436, c2=0.14805994066445172 ..................
[CV]  c1=0.31221250302216436, c2=0.14805994066445172, score=0.854033 -   1.3s
[CV] c1=0.3679394603007823, c2=0.012162878767055458 ..................
[CV]  c1=0.3679394603007823, c2=0.012162878767055458, score=0.732109 -   0.8s
[CV] c1=0.22129195374355565, c2=0.04730480352759837 ..................
[CV]  c1=0.22129195374355565, c2=0.04730480352759837, score=0.803391 -   1.3s
[CV] c1=0.13144954405592912, c2=0.05608862530171164 ..................
[CV]  c1=0.13144954405592912, c2=0.05608862530171164, score=0.857738 -   1.2s
[CV] c1=1.2209830178811576, c2=0.007618865827688214 ..................
[CV]  c1=1.2209830178811576, c2=0.007618865827688214, score=0.635197 -   1.3s
[CV] c1=0.46029642004094673, c2=0.10281654145713731 ..................
[CV]  c1=0.46029642004094673, c2=0.10281654145713731, score=0.844120 -   1.2s
[CV] c1=0.7492450917744811, c2=0.30298192898033016 ...................
[CV]  c1=0.7492450917744811, c2=0.30298192898033016, score=0.571592 -   1.0s
[CV] c1=1.0178434076444824, c2=0.02995006954316406 ...................
[CV]  c1=1.0178434076444824, c2=0.02995006954316406, score=0.853203 -   1.3s
[CV] c1=0.40517417585521504, c2=0.07074782650959643 ..................
[CV]  c1=0.40517417585521504, c2=0.07074782650959643, score=0.690739 -   1.1s
[CV] c1=0.24766906260933258, c2=0.003187292727570713 .................
[CV]  c1=0.24766906260933258, c2=0.003187292727570713, score=0.870427 -   1.2s
[CV] c1=0.9687116108063709, c2=0.048661210794563405 ..................
[CV]  c1=0.9687116108063709, c2=0.048661210794563405, score=0.779947 -   1.2s
[CV] c1=0.4591846866867121, c2=0.06593113945893257 ...................
[CV]  c1=0.4591846866867121, c2=0.06593113945893257, score=0.692544 -   1.0s
[CV] c1=0.05596511665264958, c2=0.051797454440495196 .................
[CV]  c1=0.05596511665264958, c2=0.051797454440495196, score=0.876959 -   1.2s
[CV] c1=0.11689294009113, c2=0.03609074954698069 .....................
[CV]  c1=0.11689294009113, c2=0.03609074954698069, score=0.812869 -   1.3s
[CV] c1=0.6248880363266621, c2=0.04353505106016606 ...................
[CV]  c1=0.6248880363266621, c2=0.04353505106016606, score=0.704918 -   0.9s
[CV] c1=0.31861312601840946, c2=0.12120072071169374 ..................
[CV]  c1=0.31861312601840946, c2=0.12120072071169374, score=0.785388 -   1.1s
[CV] c1=0.6149492540855628, c2=0.11734002233546502 ...................
[CV]  c1=0.6149492540855628, c2=0.11734002233546502, score=0.863789 -   1.3s
[CV] c1=0.5077561117113805, c2=0.06468251192601603 ...................
[CV]  c1=0.5077561117113805, c2=0.06468251192601603, score=0.709013 -   1.3s
[CV] c1=0.10625827723808744, c2=0.04086897050551206 ..................
[CV]  c1=0.10625827723808744, c2=0.04086897050551206, score=0.693156 -   1.0s
[CV] c1=0.5260580020827927, c2=0.0906031082855851 ....................
[CV]  c1=0.5260580020827927, c2=0.0906031082855851, score=0.870673 -   1.2s
[CV] c1=0.09303139883132601, c2=0.037372217337095885 .................
[CV]  c1=0.09303139883132601, c2=0.037372217337095885, score=0.812081 -   1.3s
[CV] c1=0.22216697879316827, c2=0.12641445197697174 ..................
[CV]  c1=0.22216697879316827, c2=0.12641445197697174, score=0.794739 -   1.4s
[CV] c1=0.24766906260933258, c2=0.003187292727570713 .................
[CV]  c1=0.24766906260933258, c2=0.003187292727570713, score=0.906707 -   1.3s
[CV] c1=0.9687116108063709, c2=0.048661210794563405 ..................
[CV]  c1=0.9687116108063709, c2=0.048661210794563405, score=0.640346 -   1.0s
[CV] c1=1.549756546367746, c2=0.09980884734574436 ....................
[CV]  c1=1.549756546367746, c2=0.09980884734574436, score=0.695829 -   1.2s
[CV] c1=0.003335400885808935, c2=0.008153886951342674 ................
[CV]  c1=0.003335400885808935, c2=0.008153886951342674, score=0.825838 -   1.2s
[CV] c1=0.11689294009113, c2=0.03609074954698069 .....................
[CV]  c1=0.11689294009113, c2=0.03609074954698069, score=0.855151 -   1.3s
[CV] c1=0.16453096552676025, c2=0.01919664987800629 ..................
[CV]  c1=0.16453096552676025, c2=0.01919664987800629, score=0.799467 -   1.1s
[CV] c1=0.2606977748379257, c2=0.07960603250068207 ...................
[CV]  c1=0.2606977748379257, c2=0.07960603250068207, score=0.860143 -   1.1s
[CV] c1=0.6149492540855628, c2=0.11734002233546502 ...................
[CV]  c1=0.6149492540855628, c2=0.11734002233546502, score=0.682825 -   1.3s
[CV] c1=0.4981085066844368, c2=0.06209102851381553 ...................
[CV]  c1=0.4981085066844368, c2=0.06209102851381553, score=0.884130 -   1.3s
[CV] c1=0.10625827723808744, c2=0.04086897050551206 ..................
[CV]  c1=0.10625827723808744, c2=0.04086897050551206, score=0.879215 -   1.1s
[CV] c1=0.07008821642887259, c2=0.013612900465018922 .................
[CV]  c1=0.07008821642887259, c2=0.013612900465018922, score=0.727539 -   1.1s
[CV] c1=0.09303139883132601, c2=0.037372217337095885 .................
[CV]  c1=0.09303139883132601, c2=0.037372217337095885, score=0.693804 -   1.1s
[CV] c1=0.21241599300675976, c2=0.08748219921477295 ..................
[CV]  c1=0.21241599300675976, c2=0.08748219921477295, score=0.838792 -   1.3s
[CV] c1=0.18157538299723475, c2=0.04421805859246227 ..................
[CV]  c1=0.18157538299723475, c2=0.04421805859246227, score=0.795784 -   1.4s
[CV] c1=0.0454619137432587, c2=0.044358615295553884 ..................
[CV]  c1=0.0454619137432587, c2=0.044358615295553884, score=0.710782 -   1.0s
[CV] c1=0.6750775698713195, c2=0.004516005059272041 ..................
[CV]  c1=0.6750775698713195, c2=0.004516005059272041, score=0.704821 -   1.3s
[CV] c1=0.6386340441559737, c2=0.07860313576003898 ...................
[CV]  c1=0.6386340441559737, c2=0.07860313576003898, score=0.784463 -   1.1s
[CV] c1=0.35671201635857924, c2=0.024002545807718614 .................
[CV]  c1=0.35671201635857924, c2=0.024002545807718614, score=0.803391 -   1.5s
[CV] c1=0.6248880363266621, c2=0.04353505106016606 ...................
[CV]  c1=0.6248880363266621, c2=0.04353505106016606, score=0.867330 -   1.0s
[CV] c1=1.0489940205462738, c2=0.03176113688374108 ...................
[CV]  c1=1.0489940205462738, c2=0.03176113688374108, score=0.782063 -   1.2s
[CV] c1=0.9992122737739859, c2=0.025253110956616188 ..................
[CV]  c1=0.9992122737739859, c2=0.025253110956616188, score=0.635197 -   1.3s
[CV] c1=0.5331362068095788, c2=0.07960817796812274 ...................
[CV]  c1=0.5331362068095788, c2=0.07960817796812274, score=0.782379 -   1.3s
[CV] c1=1.5635260584006245, c2=0.06699444284062765 ...................
[CV]  c1=1.5635260584006245, c2=0.06699444284062765, score=0.559521 -   0.9s
[CV] c1=0.7492450917744811, c2=0.30298192898033016 ...................
[CV]  c1=0.7492450917744811, c2=0.30298192898033016, score=0.663907 -   1.3s
[CV] c1=0.22982782334212634, c2=0.039971349972568876 .................
[CV]  c1=0.22982782334212634, c2=0.039971349972568876, score=0.886597 -   1.3s
[CV] c1=0.3125520162622316, c2=0.002816188824411844 ..................
[CV]  c1=0.3125520162622316, c2=0.002816188824411844, score=0.726031 -   1.0s
[CV] c1=1.0577282814901503, c2=0.004563324133922199 ..................
[CV]  c1=1.0577282814901503, c2=0.004563324133922199, score=0.860845 -   1.2s
[CV] c1=0.1107202351031119, c2=0.01221596988521561 ...................
[CV]  c1=0.1107202351031119, c2=0.01221596988521561, score=0.728137 -   1.0s
[CV] c1=0.4591846866867121, c2=0.06593113945893257 ...................
[CV]  c1=0.4591846866867121, c2=0.06593113945893257, score=0.782379 -   1.3s
[CV] c1=0.42416345987264437, c2=0.0656300703109306 ...................
[CV]  c1=0.42416345987264437, c2=0.0656300703109306, score=0.694487 -   1.0s
[CV] c1=0.31221250302216436, c2=0.14805994066445172 ..................
[CV]  c1=0.31221250302216436, c2=0.14805994066445172, score=0.721320 -   1.2s
[CV] c1=0.3679394603007823, c2=0.012162878767055458 ..................
[CV]  c1=0.3679394603007823, c2=0.012162878767055458, score=0.872834 -   0.8s
[CV] c1=0.1769740001899864, c2=0.041239927180721184 ..................
[CV]  c1=0.1769740001899864, c2=0.041239927180721184, score=0.803391 -   1.3s
[CV] c1=0.25336085858895946, c2=0.03687826757741486 ..................
[CV]  c1=0.25336085858895946, c2=0.03687826757741486, score=0.793437 -   1.3s
[CV] c1=1.0096638009996957, c2=0.24658603198932072 ...................
[CV]  c1=1.0096638009996957, c2=0.24658603198932072, score=0.563203 -   1.0s
[CV] c1=0.45482419210178165, c2=0.013110464269243907 .................
[CV]  c1=0.45482419210178165, c2=0.013110464269243907, score=0.862054 -   1.1s
[CV] c1=0.0023331525056745498, c2=0.03264268739751146 ................
[CV]  c1=0.0023331525056745498, c2=0.03264268739751146, score=0.857738 -   1.2s
[CV] c1=1.0178434076444824, c2=0.02995006954316406 ...................
[CV]  c1=1.0178434076444824, c2=0.02995006954316406, score=0.640530 -   1.3s
[CV] c1=0.03422722379147148, c2=0.07281306400766661 ..................
[CV]  c1=0.03422722379147148, c2=0.07281306400766661, score=0.849610 -   1.1s
[CV] c1=0.07493104506947067, c2=0.14116459084144103 ..................
[CV]  c1=0.07493104506947067, c2=0.14116459084144103, score=0.849610 -   1.2s
[CV] c1=0.20685567789535406, c2=0.03123644190955728 ..................
[CV]  c1=0.20685567789535406, c2=0.03123644190955728, score=0.860111 -   1.2s
[CV] c1=0.45998012296866947, c2=0.0259574185333197 ...................
[CV]  c1=0.45998012296866947, c2=0.0259574185333197, score=0.720133 -   1.0s
[CV] c1=0.05596511665264958, c2=0.051797454440495196 .................
[CV]  c1=0.05596511665264958, c2=0.051797454440495196, score=0.804031 -   1.3s
[CV] c1=0.787936167347692, c2=0.22255172323276626 ....................
[CV]  c1=0.787936167347692, c2=0.22255172323276626, score=0.735731 -   1.3s
[CV] c1=0.3679394603007823, c2=0.012162878767055458 ..................
[CV]  c1=0.3679394603007823, c2=0.012162878767055458, score=0.903969 -   0.9s
[CV] c1=1.0489940205462738, c2=0.03176113688374108 ...................
[CV]  c1=1.0489940205462738, c2=0.03176113688374108, score=0.635204 -   1.0s
[CV] c1=0.25336085858895946, c2=0.03687826757741486 ..................
[CV]  c1=0.25336085858895946, c2=0.03687826757741486, score=0.902601 -   1.2s
[CV] c1=0.26532764111469703, c2=0.031077460985383793 .................
[CV]  c1=0.26532764111469703, c2=0.031077460985383793, score=0.803391 -   1.3s
[CV] c1=0.19908972830294, c2=0.0755823285657963 ......................
[CV]  c1=0.19908972830294, c2=0.0755823285657963, score=0.842635 -   1.1s
[CV] c1=0.7492450917744811, c2=0.30298192898033016 ...................
[CV]  c1=0.7492450917744811, c2=0.30298192898033016, score=0.735731 -   1.2s
[CV] c1=0.10433258850476057, c2=0.006168097835001583 .................
[CV]  c1=0.10433258850476057, c2=0.006168097835001583, score=0.862518 -   1.1s
[CV] c1=0.40517417585521504, c2=0.07074782650959643 ..................
[CV]  c1=0.40517417585521504, c2=0.07074782650959643, score=0.782379 -   1.3s
[CV] c1=1.0577282814901503, c2=0.004563324133922199 ..................
[CV]  c1=1.0577282814901503, c2=0.004563324133922199, score=0.779947 -   1.2s
[CV] c1=0.1107202351031119, c2=0.01221596988521561 ...................
[CV]  c1=0.1107202351031119, c2=0.01221596988521561, score=0.812869 -   1.2s
[CV] c1=0.2949536777760526, c2=0.1457623493064383 ....................
[CV]  c1=0.2949536777760526, c2=0.1457623493064383, score=0.692236 -   1.0s
[CV] c1=0.5666324662468307, c2=0.04669824744189712 ...................
[CV]  c1=0.5666324662468307, c2=0.04669824744189712, score=0.782379 -   1.2s
[CV] c1=0.192685495551757, c2=0.09444535695044358 ....................
[CV]  c1=0.192685495551757, c2=0.09444535695044358, score=0.711043 -   1.1s
[CV] c1=0.3679394603007823, c2=0.012162878767055458 ..................
[CV]  c1=0.3679394603007823, c2=0.012162878767055458, score=0.803391 -   0.8s
[CV] c1=0.22129195374355565, c2=0.04730480352759837 ..................
[CV]  c1=0.22129195374355565, c2=0.04730480352759837, score=0.860143 -   1.2s
[CV] c1=1.0931024554848308, c2=0.016784017845288126 ..................
[CV]  c1=1.0931024554848308, c2=0.016784017845288126, score=0.635204 -   1.0s
[CV] c1=0.5077561117113805, c2=0.06468251192601603 ...................
[CV]  c1=0.5077561117113805, c2=0.06468251192601603, score=0.782379 -   1.3s
[CV] c1=0.10625827723808744, c2=0.04086897050551206 ..................
[CV]  c1=0.10625827723808744, c2=0.04086897050551206, score=0.804160 -   1.3s
[CV] c1=0.25074069196138327, c2=0.02767971244344382 ..................
[CV]  c1=0.25074069196138327, c2=0.02767971244344382, score=0.914796 -   1.3s
[CV] c1=0.18480313524900868, c2=0.144702299722739 ....................
[CV]  c1=0.18480313524900868, c2=0.144702299722739, score=0.708618 -   1.0s
[CV] c1=1.4748667113035918, c2=0.10169260625547337 ...................
[CV]  c1=1.4748667113035918, c2=0.10169260625547337, score=0.569627 -   1.0s
[CV] c1=0.18157538299723475, c2=0.04421805859246227 ..................
[CV]  c1=0.18157538299723475, c2=0.04421805859246227, score=0.803391 -   1.4s
[CV] c1=0.45431027443887256, c2=0.014743560635977588 .................
[CV]  c1=0.45431027443887256, c2=0.014743560635977588, score=0.718063 -   1.0s
[CV] c1=0.6750775698713195, c2=0.004516005059272041 ..................
[CV]  c1=0.6750775698713195, c2=0.004516005059272041, score=0.824839 -   1.3s
[CV] c1=0.6386340441559737, c2=0.07860313576003898 ...................
[CV]  c1=0.6386340441559737, c2=0.07860313576003898, score=0.771600 -   1.3s
[CV] c1=0.11689294009113, c2=0.03609074954698069 .....................
[CV]  c1=0.11689294009113, c2=0.03609074954698069, score=0.809643 -   1.3s
[CV] c1=0.16453096552676025, c2=0.01919664987800629 ..................
[CV]  c1=0.16453096552676025, c2=0.01919664987800629, score=0.803391 -   1.1s
[CV] c1=0.2606977748379257, c2=0.07960603250068207 ...................
[CV]  c1=0.2606977748379257, c2=0.07960603250068207, score=0.684174 -   1.0s
[CV] c1=0.19137944760401207, c2=0.1060060507688273 ...................
[CV]  c1=0.19137944760401207, c2=0.1060060507688273, score=0.855183 -   1.2s
[CV] c1=0.19269028461074456, c2=0.012777379808540337 .................
[CV]  c1=0.19269028461074456, c2=0.012777379808540337, score=0.860111 -   1.2s
[CV] c1=0.24965353745044339, c2=0.06521292334929078 ..................
[CV]  c1=0.24965353745044339, c2=0.06521292334929078, score=0.854779 -   1.2s
[CV] c1=1.5635260584006245, c2=0.06699444284062765 ...................
[CV]  c1=1.5635260584006245, c2=0.06699444284062765, score=0.543815 -   1.3s
[CV] c1=0.09303139883132601, c2=0.037372217337095885 .................
[CV]  c1=0.09303139883132601, c2=0.037372217337095885, score=0.879215 -   1.3s
[CV] c1=0.22216697879316827, c2=0.12641445197697174 ..................
[CV]  c1=0.22216697879316827, c2=0.12641445197697174, score=0.829314 -   1.2s
[CV] c1=0.11527309375814619, c2=0.0007142903984410407 ................
[CV]  c1=0.11527309375814619, c2=0.0007142903984410407, score=0.730258 -   1.0s
[CV] c1=0.0329398951048407, c2=0.17928964182452956 ...................
[CV]  c1=0.0329398951048407, c2=0.17928964182452956, score=0.779956 -   1.4s
[CV] c1=0.6750775698713195, c2=0.004516005059272041 ..................
[CV]  c1=0.6750775698713195, c2=0.004516005059272041, score=0.761213 -   1.3s
[CV] c1=0.003335400885808935, c2=0.008153886951342674 ................
[CV]  c1=0.003335400885808935, c2=0.008153886951342674, score=0.811250 -   1.4s
[CV] c1=0.787936167347692, c2=0.22255172323276626 ....................
[CV]  c1=0.787936167347692, c2=0.22255172323276626, score=0.663907 -   1.3s
[CV] c1=0.6248880363266621, c2=0.04353505106016606 ...................
[CV]  c1=0.6248880363266621, c2=0.04353505106016606, score=0.779524 -   1.0s
Training done in: 17.540391s
     Saving training model...
        Saving training model done in: 0.013217s
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Prediction done in: 0.027608s