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

Go to a project
Toggle navigation Toggle navigation pinning
Switch branch/tag
Run7_v11.txt 71 KB
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 
-------------------------------- 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: Run7
Exclude stop words: False
Levels: S1: FalseS2: TrueS3: 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: 0.003686s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0        1
0       lemma        :
1      postag        :
2    -1:lemma       in
3   -1:postag       IN
4    +1:lemma       m9
5   +1:postag       NN
6        word        :
7     isUpper    False
8     isLower    False
9     isGreek    False
10   isNumber    False
11    -1:word       in
12    +1:word       M9
13   -2:lemma  culture
14  -2:postag      VBN
15   +2:lemma  minimal
16  +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        word  delta-arcA
7     isUpper       False
8     isLower       False
9     isGreek       False
10   isNumber       False
11    -1:word           _
12    +1:word           _
13   -2:lemma     affyexp
14  -2:postag          JJ
15   +2:lemma     glucose
16  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.7074366748667956, c2=0.011163597627217496 ..................
[CV]  c1=0.7074366748667956, c2=0.011163597627217496, score=0.800605 -   1.5s
[CV] c1=0.01640092534730905, c2=0.02334032117408328 ..................
[CV]  c1=0.01640092534730905, c2=0.02334032117408328, score=0.727907 -   1.2s
[CV] c1=0.42417981195536114, c2=0.004981241167258888 .................
[CV]  c1=0.42417981195536114, c2=0.004981241167258888, score=0.711982 -   1.2s
[CV] c1=0.03149222417941423, c2=0.020855380623907932 .................
[CV]  c1=0.03149222417941423, c2=0.020855380623907932, score=0.850857 -   1.4s
[CV] c1=0.847613678871929, c2=0.034642798572775815 ...................
[CV]  c1=0.847613678871929, c2=0.034642798572775815, score=0.704724 -   1.1s
[CV] c1=0.417437125535066, c2=0.08911278904024504 ....................
[CV]  c1=0.417437125535066, c2=0.08911278904024504, score=0.776928 -   1.5s
[CV] c1=1.1725555257872322, c2=0.025448919401088867 ..................
[CV]  c1=1.1725555257872322, c2=0.025448919401088867, score=0.803722 -   1.4s
[CV] c1=0.20583355880971654, c2=0.08802752825342151 ..................
[CV]  c1=0.20583355880971654, c2=0.08802752825342151, score=0.822560 -   1.7s
[CV] c1=0.2746801743479633, c2=0.08018040649358808 ...................
[CV]  c1=0.2746801743479633, c2=0.08018040649358808, score=0.825629 -   1.6s
[CV] c1=0.04785456922750736, c2=0.20397319120063562 ..................
[CV]  c1=0.04785456922750736, c2=0.20397319120063562, score=0.774516 -   1.6s
[CV] c1=0.23878531342101858, c2=0.04617487509013554 ..................
[CV]  c1=0.23878531342101858, c2=0.04617487509013554, score=0.822560 -   1.6s
[CV] c1=0.031957638957658276, c2=0.04959049950654494 .................
[CV]  c1=0.031957638957658276, c2=0.04959049950654494, score=0.805365 -   1.6s
[CV] c1=0.20683679383507061, c2=0.007367586512242107 .................
[CV]  c1=0.20683679383507061, c2=0.007367586512242107, score=0.861990 -   1.4s
[CV] c1=0.11550912719239621, c2=0.02191878871015035 ..................
[CV]  c1=0.11550912719239621, c2=0.02191878871015035, score=0.822560 -   1.5s
[CV] c1=0.20981199836312353, c2=0.35755713885668516 ..................
[CV]  c1=0.20981199836312353, c2=0.35755713885668516, score=0.831779 -   1.5s
[CV] c1=0.03149222417941423, c2=0.020855380623907932 .................
[CV]  c1=0.03149222417941423, c2=0.020855380623907932, score=0.756654 -   1.2s
[CV] c1=0.17304726594712122, c2=0.03741150435224387 ..................
[CV]  c1=0.17304726594712122, c2=0.03741150435224387, score=0.854628 -   1.7s
[CV] c1=0.1132833808751859, c2=0.04387257556372944 ...................
[CV]  c1=0.1132833808751859, c2=0.04387257556372944, score=0.792724 -   1.6s
[CV] c1=1.088508870979727, c2=0.01953307866096488 ....................
[CV]  c1=1.088508870979727, c2=0.01953307866096488, score=0.634407 -   1.7s
[CV] c1=0.09929592686704274, c2=0.013033972570977463 .................
[CV]  c1=0.09929592686704274, c2=0.013033972570977463, score=0.866995 -   1.5s
[CV] c1=0.3285805175557343, c2=0.01554041559620966 ...................
[CV]  c1=0.3285805175557343, c2=0.01554041559620966, score=0.859037 -   1.5s
[CV] c1=1.8595800481739864, c2=0.03132228815124959 ...................
[CV]  c1=1.8595800481739864, c2=0.03132228815124959, score=0.725195 -   1.5s
[CV] c1=0.05238291068519, c2=0.03403244797168877 .....................
[CV]  c1=0.05238291068519, c2=0.03403244797168877, score=0.850857 -   1.5s
[CV] c1=0.031957638957658276, c2=0.04959049950654494 .................
[CV]  c1=0.031957638957658276, c2=0.04959049950654494, score=0.791174 -   1.6s
[CV] c1=0.5746487876881318, c2=0.0619402410729387 ....................
[CV]  c1=0.5746487876881318, c2=0.0619402410729387, score=0.725277 -   1.5s
[CV] c1=0.738096163980694, c2=0.03865014750153331 ....................
[CV]  c1=0.738096163980694, c2=0.03865014750153331, score=0.785489 -   1.6s
[CV] c1=0.32973845421832393, c2=0.04094369218817692 ..................
[CV]  c1=0.32973845421832393, c2=0.04094369218817692, score=0.727775 -   1.2s
[CV] c1=0.0716898995354181, c2=0.14726697029930955 ...................
[CV]  c1=0.0716898995354181, c2=0.14726697029930955, score=0.867320 -   1.4s
[CV] c1=0.5840229492339339, c2=0.013104541827226705 ..................
[CV]  c1=0.5840229492339339, c2=0.013104541827226705, score=0.828453 -   1.5s
[CV] c1=0.2762743071899032, c2=0.08303979878559127 ...................
[CV]  c1=0.2762743071899032, c2=0.08303979878559127, score=0.822560 -   1.6s
[CV] c1=0.38747594462867596, c2=0.12092323724443166 ..................
[CV]  c1=0.38747594462867596, c2=0.12092323724443166, score=0.713927 -   1.2s
[CV] c1=1.536119848288508, c2=0.018444711611760707 ...................
[CV]  c1=1.536119848288508, c2=0.018444711611760707, score=0.570340 -   1.5s
[CV] c1=1.4349786410928151, c2=0.07114056216396565 ...................
[CV]  c1=1.4349786410928151, c2=0.07114056216396565, score=0.773422 -   1.5s
[CV] c1=0.6991537965774974, c2=0.04570291980488693 ...................
[CV]  c1=0.6991537965774974, c2=0.04570291980488693, score=0.803283 -   1.4s
[CV] c1=1.7726396565262006, c2=0.042866278299750565 ..................
[CV]  c1=1.7726396565262006, c2=0.042866278299750565, score=0.542078 -   1.2s
[CV] c1=0.13625951784456822, c2=0.018672561947623272 .................
[CV]  c1=0.13625951784456822, c2=0.018672561947623272, score=0.905292 -   1.5s
[CV] c1=0.12823567075468947, c2=0.008425255614496086 .................
[CV]  c1=0.12823567075468947, c2=0.008425255614496086, score=0.899489 -   1.6s
[CV] c1=0.01593338388462716, c2=0.09853744150926547 ..................
[CV]  c1=0.01593338388462716, c2=0.09853744150926547, score=0.855135 -   1.4s
[CV] c1=0.42417981195536114, c2=0.004981241167258888 .................
[CV]  c1=0.42417981195536114, c2=0.004981241167258888, score=0.858674 -   1.5s
[CV] c1=0.0322091674181712, c2=0.09533859358358143 ...................
[CV]  c1=0.0322091674181712, c2=0.09533859358358143, score=0.812234 -   1.6s
[CV] c1=0.18545785102170131, c2=0.11740039449408464 ..................
[CV]  c1=0.18545785102170131, c2=0.11740039449408464, score=0.679674 -   1.4s
[CV] c1=0.38240923544255145, c2=0.04475572667852682 ..................
[CV]  c1=0.38240923544255145, c2=0.04475572667852682, score=0.902900 -   1.5s
[CV] c1=0.01482308805569382, c2=0.02775422891555355 ..................
[CV]  c1=0.01482308805569382, c2=0.02775422891555355, score=0.818597 -   1.6s
[CV] c1=1.536119848288508, c2=0.018444711611760707 ...................
[CV]  c1=1.536119848288508, c2=0.018444711611760707, score=0.574073 -   1.2s
[CV] c1=0.3285805175557343, c2=0.01554041559620966 ...................
[CV]  c1=0.3285805175557343, c2=0.01554041559620966, score=0.839574 -   1.6s
[CV] c1=0.0882059313482759, c2=0.029846714970675203 ..................
[CV]  c1=0.0882059313482759, c2=0.029846714970675203, score=0.808412 -   1.6s
[CV] c1=0.13126281789522845, c2=0.03056677864581711 ..................
[CV]  c1=0.13126281789522845, c2=0.03056677864581711, score=0.855817 -   1.4s
[CV] c1=0.13625951784456822, c2=0.018672561947623272 .................
[CV]  c1=0.13625951784456822, c2=0.018672561947623272, score=0.813673 -   1.6s
[CV] c1=0.7074366748667956, c2=0.011163597627217496 ..................
[CV]  c1=0.7074366748667956, c2=0.011163597627217496, score=0.703290 -   1.2s
[CV] c1=0.3444258098730653, c2=0.015514778114727321 ..................
[CV]  c1=0.3444258098730653, c2=0.015514778114727321, score=0.859037 -   1.4s
[CV] c1=0.7720054005612511, c2=0.0051400727509498464 .................
[CV]  c1=0.7720054005612511, c2=0.0051400727509498464, score=0.869563 -   1.4s
[CV] c1=0.03149222417941423, c2=0.020855380623907932 .................
[CV]  c1=0.03149222417941423, c2=0.020855380623907932, score=0.791290 -   1.5s
[CV] c1=0.847613678871929, c2=0.034642798572775815 ...................
[CV]  c1=0.847613678871929, c2=0.034642798572775815, score=0.689803 -   1.6s
[CV] c1=0.13348174314080838, c2=0.014141301190015311 .................
[CV]  c1=0.13348174314080838, c2=0.014141301190015311, score=0.825798 -   1.5s
[CV] c1=1.088508870979727, c2=0.01953307866096488 ....................
[CV]  c1=1.088508870979727, c2=0.01953307866096488, score=0.803722 -   1.5s
[CV] c1=0.07919488535331357, c2=0.04197409949814856 ..................
[CV]  c1=0.07919488535331357, c2=0.04197409949814856, score=0.806023 -   1.6s
[CV] c1=0.3285805175557343, c2=0.01554041559620966 ...................
[CV]  c1=0.3285805175557343, c2=0.01554041559620966, score=0.911097 -   1.6s
[CV] c1=1.8595800481739864, c2=0.03132228815124959 ...................
[CV]  c1=1.8595800481739864, c2=0.03132228815124959, score=0.606476 -   1.6s
[CV] c1=0.05238291068519, c2=0.03403244797168877 .....................
[CV]  c1=0.05238291068519, c2=0.03403244797168877, score=0.798620 -   1.6s
[CV] c1=0.13625951784456822, c2=0.018672561947623272 .................
[CV]  c1=0.13625951784456822, c2=0.018672561947623272, score=0.877540 -   1.5s
[CV] c1=0.7530466967887264, c2=0.03995202682444961 ...................
[CV]  c1=0.7530466967887264, c2=0.03995202682444961, score=0.803283 -   1.5s
[CV] c1=0.8673847880356236, c2=0.023870166187632918 ..................
[CV]  c1=0.8673847880356236, c2=0.023870166187632918, score=0.800605 -   1.5s
[CV] c1=0.01504862845566513, c2=0.01147875800505408 ..................
[CV]  c1=0.01504862845566513, c2=0.01147875800505408, score=0.848045 -   1.4s
[CV] c1=0.16657549697905746, c2=0.03637150007426991 ..................
[CV]  c1=0.16657549697905746, c2=0.03637150007426991, score=0.871290 -   1.4s
[CV] c1=0.5840229492339339, c2=0.013104541827226705 ..................
[CV]  c1=0.5840229492339339, c2=0.013104541827226705, score=0.750250 -   1.5s
[CV] c1=0.2762743071899032, c2=0.08303979878559127 ...................
[CV]  c1=0.2762743071899032, c2=0.08303979878559127, score=0.799749 -   1.5s
[CV] c1=1.7549975258539325, c2=0.23335825153289222 ...................
[CV]  c1=1.7549975258539325, c2=0.23335825153289222, score=0.524902 -   1.1s
[CV] c1=0.09929592686704274, c2=0.013033972570977463 .................
[CV]  c1=0.09929592686704274, c2=0.013033972570977463, score=0.825629 -   1.6s
[CV] c1=0.058985761157574416, c2=0.003179038349964388 ................
[CV]  c1=0.058985761157574416, c2=0.003179038349964388, score=0.801370 -   1.6s
[CV] c1=0.0882059313482759, c2=0.029846714970675203 ..................
[CV]  c1=0.0882059313482759, c2=0.029846714970675203, score=0.827103 -   1.6s
[CV] c1=1.7726396565262006, c2=0.042866278299750565 ..................
[CV]  c1=1.7726396565262006, c2=0.042866278299750565, score=0.767663 -   1.3s
[CV] c1=0.13625951784456822, c2=0.018672561947623272 .................
[CV]  c1=0.13625951784456822, c2=0.018672561947623272, score=0.822214 -   1.6s
[CV] c1=0.12823567075468947, c2=0.008425255614496086 .................
[CV]  c1=0.12823567075468947, c2=0.008425255614496086, score=0.866995 -   1.5s
[CV] c1=0.01593338388462716, c2=0.09853744150926547 ..................
[CV]  c1=0.01593338388462716, c2=0.09853744150926547, score=0.778916 -   1.5s
[CV] c1=0.576412021571655, c2=0.06443735729285986 ....................
[CV]  c1=0.576412021571655, c2=0.06443735729285986, score=0.880817 -   1.5s
[CV] c1=0.06221982133591153, c2=0.0647409154902905 ...................
[CV]  c1=0.06221982133591153, c2=0.0647409154902905, score=0.729836 -   1.1s
[CV] c1=0.5147550850928538, c2=0.044074208716494256 ..................
[CV]  c1=0.5147550850928538, c2=0.044074208716494256, score=0.706551 -   1.3s
[CV] c1=0.13348174314080838, c2=0.014141301190015311 .................
[CV]  c1=0.13348174314080838, c2=0.014141301190015311, score=0.805821 -   1.6s
[CV] c1=1.088508870979727, c2=0.01953307866096488 ....................
[CV]  c1=1.088508870979727, c2=0.01953307866096488, score=0.612249 -   1.6s
[CV] c1=0.09929592686704274, c2=0.013033972570977463 .................
[CV]  c1=0.09929592686704274, c2=0.013033972570977463, score=0.886736 -   1.5s
[CV] c1=0.3285805175557343, c2=0.01554041559620966 ...................
[CV]  c1=0.3285805175557343, c2=0.01554041559620966, score=0.809990 -   1.6s
[CV] c1=1.8595800481739864, c2=0.03132228815124959 ...................
[CV]  c1=1.8595800481739864, c2=0.03132228815124959, score=0.551203 -   1.7s
[CV] c1=1.7726396565262006, c2=0.042866278299750565 ..................
[CV]  c1=1.7726396565262006, c2=0.042866278299750565, score=0.788518 -   1.5s
[CV] c1=0.10877154070690549, c2=0.0038482366294448275 ................
[CV]  c1=0.10877154070690549, c2=0.0038482366294448275, score=0.904693 -   1.5s
[CV] c1=0.5746487876881318, c2=0.0619402410729387 ....................
[CV]  c1=0.5746487876881318, c2=0.0619402410729387, score=0.714999 -   1.2s
[CV] c1=0.01640092534730905, c2=0.02334032117408328 ..................
[CV]  c1=0.01640092534730905, c2=0.02334032117408328, score=0.865159 -   1.5s
[CV] c1=0.576412021571655, c2=0.06443735729285986 ....................
[CV]  c1=0.576412021571655, c2=0.06443735729285986, score=0.725277 -   1.6s
[CV] c1=0.06221982133591153, c2=0.0647409154902905 ...................
[CV]  c1=0.06221982133591153, c2=0.0647409154902905, score=0.820955 -   1.6s
[CV] c1=0.5840229492339339, c2=0.013104541827226705 ..................
[CV]  c1=0.5840229492339339, c2=0.013104541827226705, score=0.893884 -   1.4s
[CV] c1=0.3037822868738045, c2=0.015728371133724998 ..................
[CV]  c1=0.3037822868738045, c2=0.015728371133724998, score=0.839574 -   1.6s
[CV] c1=1.7549975258539325, c2=0.23335825153289222 ...................
[CV]  c1=1.7549975258539325, c2=0.23335825153289222, score=0.713350 -   1.4s
[CV] c1=0.9426462528778126, c2=0.0025634577201602794 .................
[CV]  c1=0.9426462528778126, c2=0.0025634577201602794, score=0.696455 -   1.2s
[CV] c1=0.058985761157574416, c2=0.003179038349964388 ................
[CV]  c1=0.058985761157574416, c2=0.003179038349964388, score=0.878281 -   1.6s
[CV] c1=0.6991537965774974, c2=0.04570291980488693 ...................
[CV]  c1=0.6991537965774974, c2=0.04570291980488693, score=0.708125 -   1.6s
[CV] c1=0.5816507899142498, c2=0.005786099892587632 ..................
[CV]  c1=0.5816507899142498, c2=0.005786099892587632, score=0.890721 -   1.5s
[CV] c1=0.33853724354622605, c2=0.10675072536996977 ..................
[CV]  c1=0.33853724354622605, c2=0.10675072536996977, score=0.701549 -   1.2s
[CV] c1=0.8990217594484189, c2=0.011360518623520976 ..................
[CV]  c1=0.8990217594484189, c2=0.011360518623520976, score=0.673136 -   1.1s
[CV] c1=0.11550912719239621, c2=0.02191878871015035 ..................
[CV]  c1=0.11550912719239621, c2=0.02191878871015035, score=0.905292 -   1.5s
[CV] c1=1.5458747348243667, c2=0.06576181040994135 ...................
[CV]  c1=1.5458747348243667, c2=0.06576181040994135, score=0.537518 -   1.2s
[CV] c1=0.01504862845566513, c2=0.01147875800505408 ..................
[CV]  c1=0.01504862845566513, c2=0.01147875800505408, score=0.869287 -   1.5s
[CV] c1=0.0716898995354181, c2=0.14726697029930955 ...................
[CV]  c1=0.0716898995354181, c2=0.14726697029930955, score=0.721309 -   1.3s
[CV] c1=0.5840229492339339, c2=0.013104541827226705 ..................
[CV]  c1=0.5840229492339339, c2=0.013104541827226705, score=0.707028 -   1.2s
[CV] c1=0.38240923544255145, c2=0.04475572667852682 ..................
[CV]  c1=0.38240923544255145, c2=0.04475572667852682, score=0.807507 -   1.6s
[CV] c1=0.4430498148592107, c2=0.23314316222255071 ...................
[CV]  c1=0.4430498148592107, c2=0.23314316222255071, score=0.731927 -   1.7s
[CV] c1=0.9426462528778126, c2=0.0025634577201602794 .................
[CV]  c1=0.9426462528778126, c2=0.0025634577201602794, score=0.791945 -   1.4s
[CV] c1=2.252713414829602, c2=0.009769591879074464 ...................
[CV]  c1=2.252713414829602, c2=0.009769591879074464, score=0.501456 -   1.2s
[CV] c1=0.6991537965774974, c2=0.04570291980488693 ...................
[CV]  c1=0.6991537965774974, c2=0.04570291980488693, score=0.864939 -   1.6s
[CV] c1=1.7726396565262006, c2=0.042866278299750565 ..................
[CV]  c1=1.7726396565262006, c2=0.042866278299750565, score=0.623325 -   1.6s
[CV] c1=0.10877154070690549, c2=0.0038482366294448275 ................
[CV]  c1=0.10877154070690549, c2=0.0038482366294448275, score=0.845689 -   1.5s
[CV] c1=0.5746487876881318, c2=0.0619402410729387 ....................
[CV]  c1=0.5746487876881318, c2=0.0619402410729387, score=0.817463 -   1.4s
[CV] c1=0.738096163980694, c2=0.03865014750153331 ....................
[CV]  c1=0.738096163980694, c2=0.03865014750153331, score=0.715029 -   1.7s
[CV] c1=0.8577731432471695, c2=0.10250767998454163 ...................
[CV]  c1=0.8577731432471695, c2=0.10250767998454163, score=0.690203 -   1.5s
[CV] c1=0.17304726594712122, c2=0.03741150435224387 ..................
[CV]  c1=0.17304726594712122, c2=0.03741150435224387, score=0.734089 -   1.2s
[CV] c1=0.5289094067756892, c2=0.07319000486175029 ...................
[CV]  c1=0.5289094067756892, c2=0.07319000486175029, score=0.896240 -   1.6s
[CV] c1=0.49218749425047786, c2=0.04874952524805749 ..................
[CV]  c1=0.49218749425047786, c2=0.04874952524805749, score=0.898512 -   1.6s
[CV] c1=0.38747594462867596, c2=0.12092323724443166 ..................
[CV]  c1=0.38747594462867596, c2=0.12092323724443166, score=0.896240 -   1.6s
[CV] c1=0.2210030423673923, c2=0.021392524964607657 ..................
[CV]  c1=0.2210030423673923, c2=0.021392524964607657, score=0.799749 -   1.5s
[CV] c1=0.09600975142996006, c2=0.008007909271304375 .................
[CV]  c1=0.09600975142996006, c2=0.008007909271304375, score=0.850846 -   1.4s
[CV] c1=1.2059222366230646, c2=0.013469582751461054 ..................
[CV]  c1=1.2059222366230646, c2=0.013469582751461054, score=0.670298 -   1.2s
[CV] c1=1.7726396565262006, c2=0.042866278299750565 ..................
[CV]  c1=1.7726396565262006, c2=0.042866278299750565, score=0.561791 -   1.7s
[CV] c1=0.33853724354622605, c2=0.10675072536996977 ..................
[CV]  c1=0.33853724354622605, c2=0.10675072536996977, score=0.776928 -   1.4s
[CV] c1=0.7074366748667956, c2=0.011163597627217496 ..................
[CV]  c1=0.7074366748667956, c2=0.011163597627217496, score=0.722122 -   1.6s
[CV] c1=0.8673847880356236, c2=0.023870166187632918 ..................
[CV]  c1=0.8673847880356236, c2=0.023870166187632918, score=0.858117 -   1.5s
[CV] c1=0.01504862845566513, c2=0.01147875800505408 ..................
[CV]  c1=0.01504862845566513, c2=0.01147875800505408, score=0.803139 -   1.5s
[CV] c1=0.16657549697905746, c2=0.03637150007426991 ..................
[CV]  c1=0.16657549697905746, c2=0.03637150007426991, score=0.822560 -   1.6s
[CV] c1=0.5289094067756892, c2=0.07319000486175029 ...................
[CV]  c1=0.5289094067756892, c2=0.07319000486175029, score=0.732959 -   1.6s
[CV] c1=0.49218749425047786, c2=0.04874952524805749 ..................
[CV]  c1=0.49218749425047786, c2=0.04874952524805749, score=0.811949 -   1.6s
[CV] c1=0.20583355880971654, c2=0.08802752825342151 ..................
[CV]  c1=0.20583355880971654, c2=0.08802752825342151, score=0.799749 -   1.6s
[CV] c1=0.4444943295318832, c2=0.004242778545624148 ..................
[CV]  c1=0.4444943295318832, c2=0.004242778545624148, score=0.805650 -   1.6s
[CV] c1=0.07219074675521348, c2=0.0007288670335419899 ................
[CV]  c1=0.07219074675521348, c2=0.0007288670335419899, score=0.724898 -   1.2s
[CV] c1=1.2059222366230646, c2=0.013469582751461054 ..................
[CV]  c1=1.2059222366230646, c2=0.013469582751461054, score=0.794448 -   1.4s
[CV] c1=1.5521796181647511, c2=0.03710482898105592 ...................
[CV]  c1=1.5521796181647511, c2=0.03710482898105592, score=0.618603 -   1.5s
[CV] c1=0.007713217923374723, c2=0.04325006662373007 .................
[CV]  c1=0.007713217923374723, c2=0.04325006662373007, score=0.850983 -   1.3s
[CV] c1=0.20683679383507061, c2=0.007367586512242107 .................
[CV]  c1=0.20683679383507061, c2=0.007367586512242107, score=0.806991 -   1.2s
[CV] c1=0.11550912719239621, c2=0.02191878871015035 ..................
[CV]  c1=0.11550912719239621, c2=0.02191878871015035, score=0.816264 -   1.5s
[CV] c1=1.5458747348243667, c2=0.06576181040994135 ...................
[CV]  c1=1.5458747348243667, c2=0.06576181040994135, score=0.570340 -   1.6s
[CV] c1=0.03149222417941423, c2=0.020855380623907932 .................
[CV]  c1=0.03149222417941423, c2=0.020855380623907932, score=0.802926 -   1.6s
[CV] c1=0.5147550850928538, c2=0.044074208716494256 ..................
[CV]  c1=0.5147550850928538, c2=0.044074208716494256, score=0.770648 -   1.7s
[CV] c1=0.2671042646127421, c2=0.0765045140139823 ....................
[CV]  c1=0.2671042646127421, c2=0.0765045140139823, score=0.816376 -   1.6s
[CV] c1=0.4430498148592107, c2=0.23314316222255071 ...................
[CV]  c1=0.4430498148592107, c2=0.23314316222255071, score=0.874171 -   1.5s
[CV] c1=1.536119848288508, c2=0.018444711611760707 ...................
[CV]  c1=1.536119848288508, c2=0.018444711611760707, score=0.611177 -   1.6s
[CV] c1=1.4349786410928151, c2=0.07114056216396565 ...................
[CV]  c1=1.4349786410928151, c2=0.07114056216396565, score=0.570340 -   1.7s
[CV] c1=1.1384279065755318, c2=0.07514957135045887 ...................
[CV]  c1=1.1384279065755318, c2=0.07514957135045887, score=0.804603 -   1.5s
[CV] c1=1.5521796181647511, c2=0.03710482898105592 ...................
[CV]  c1=1.5521796181647511, c2=0.03710482898105592, score=0.808740 -   1.5s
[CV] c1=0.007713217923374723, c2=0.04325006662373007 .................
[CV]  c1=0.007713217923374723, c2=0.04325006662373007, score=0.878292 -   1.4s
[CV] c1=0.5746487876881318, c2=0.0619402410729387 ....................
[CV]  c1=0.5746487876881318, c2=0.0619402410729387, score=0.883194 -   1.5s
[CV] c1=0.738096163980694, c2=0.03865014750153331 ....................
[CV]  c1=0.738096163980694, c2=0.03865014750153331, score=0.703904 -   1.2s
[CV] c1=0.01504862845566513, c2=0.01147875800505408 ..................
[CV]  c1=0.01504862845566513, c2=0.01147875800505408, score=0.742173 -   1.2s
[CV] c1=0.06221982133591153, c2=0.0647409154902905 ...................
[CV]  c1=0.06221982133591153, c2=0.0647409154902905, score=0.893004 -   1.5s
[CV] c1=0.18545785102170131, c2=0.11740039449408464 ..................
[CV]  c1=0.18545785102170131, c2=0.11740039449408464, score=0.795784 -   1.5s
[CV] c1=0.3037822868738045, c2=0.015728371133724998 ..................
[CV]  c1=0.3037822868738045, c2=0.015728371133724998, score=0.863332 -   1.4s
[CV] c1=0.4430498148592107, c2=0.23314316222255071 ...................
[CV]  c1=0.4430498148592107, c2=0.23314316222255071, score=0.663599 -   1.2s
[CV] c1=0.09929592686704274, c2=0.013033972570977463 .................
[CV]  c1=0.09929592686704274, c2=0.013033972570977463, score=0.813673 -   1.6s
[CV] c1=0.058985761157574416, c2=0.003179038349964388 ................
[CV]  c1=0.058985761157574416, c2=0.003179038349964388, score=0.893039 -   1.5s
[CV] c1=0.0882059313482759, c2=0.029846714970675203 ..................
[CV]  c1=0.0882059313482759, c2=0.029846714970675203, score=0.893784 -   1.6s
[CV] c1=0.13126281789522845, c2=0.03056677864581711 ..................
[CV]  c1=0.13126281789522845, c2=0.03056677864581711, score=0.856646 -   1.6s
[CV] c1=0.10877154070690549, c2=0.0038482366294448275 ................
[CV]  c1=0.10877154070690549, c2=0.0038482366294448275, score=0.813673 -   1.5s
[CV] c1=0.5480898390376876, c2=0.05174099769137184 ...................
[CV]  c1=0.5480898390376876, c2=0.05174099769137184, score=0.900623 -   1.4s
[CV] c1=0.6286746442165896, c2=0.0012691307572038873 .................
[CV]  c1=0.6286746442165896, c2=0.0012691307572038873, score=0.813273 -   1.4s
[CV] c1=0.20981199836312353, c2=0.35755713885668516 ..................
[CV]  c1=0.20981199836312353, c2=0.35755713885668516, score=0.757925 -   1.6s
[CV] c1=0.37132486242400087, c2=0.01119444771873534 ..................
[CV]  c1=0.37132486242400087, c2=0.01119444771873534, score=0.903498 -   1.6s
[CV] c1=0.5147550850928538, c2=0.044074208716494256 ..................
[CV]  c1=0.5147550850928538, c2=0.044074208716494256, score=0.837717 -   1.7s
[CV] c1=0.38240923544255145, c2=0.04475572667852682 ..................
[CV]  c1=0.38240923544255145, c2=0.04475572667852682, score=0.868329 -   1.4s
[CV] c1=0.6483183793737672, c2=0.005918400788139635 ..................
[CV]  c1=0.6483183793737672, c2=0.005918400788139635, score=0.822873 -   1.6s
[CV] c1=0.3100693166187756, c2=0.020076050442806845 ..................
[CV]  c1=0.3100693166187756, c2=0.020076050442806845, score=0.807507 -   1.6s
[CV] c1=1.4349786410928151, c2=0.07114056216396565 ...................
[CV]  c1=1.4349786410928151, c2=0.07114056216396565, score=0.614454 -   1.6s
[CV] c1=1.1384279065755318, c2=0.07514957135045887 ...................
[CV]  c1=1.1384279065755318, c2=0.07514957135045887, score=0.859059 -   1.6s
[CV] c1=0.5816507899142498, c2=0.005786099892587632 ..................
[CV]  c1=0.5816507899142498, c2=0.005786099892587632, score=0.711308 -   1.4s
[CV] c1=0.10877154070690549, c2=0.0038482366294448275 ................
[CV]  c1=0.10877154070690549, c2=0.0038482366294448275, score=0.862333 -   1.5s
[CV] c1=0.7074366748667956, c2=0.011163597627217496 ..................
[CV]  c1=0.7074366748667956, c2=0.011163597627217496, score=0.872594 -   1.6s
[CV] c1=0.01640092534730905, c2=0.02334032117408328 ..................
[CV]  c1=0.01640092534730905, c2=0.02334032117408328, score=0.800950 -   1.5s
[CV] c1=0.576412021571655, c2=0.06443735729285986 ....................
[CV]  c1=0.576412021571655, c2=0.06443735729285986, score=0.817463 -   1.5s
[CV] c1=0.16657549697905746, c2=0.03637150007426991 ..................
[CV]  c1=0.16657549697905746, c2=0.03637150007426991, score=0.898022 -   1.6s
[CV] c1=0.5840229492339339, c2=0.013104541827226705 ..................
[CV]  c1=0.5840229492339339, c2=0.013104541827226705, score=0.825818 -   1.5s
[CV] c1=0.2762743071899032, c2=0.08303979878559127 ...................
[CV]  c1=0.2762743071899032, c2=0.08303979878559127, score=0.856428 -   1.5s
[CV] c1=1.7549975258539325, c2=0.23335825153289222 ...................
[CV]  c1=1.7549975258539325, c2=0.23335825153289222, score=0.620366 -   1.6s
[CV] c1=0.9426462528778126, c2=0.0025634577201602794 .................
[CV]  c1=0.9426462528778126, c2=0.0025634577201602794, score=0.698414 -   1.6s
[CV] c1=0.09600975142996006, c2=0.008007909271304375 .................
[CV]  c1=0.09600975142996006, c2=0.008007909271304375, score=0.727530 -   1.2s
[CV] c1=0.6991537965774974, c2=0.04570291980488693 ...................
[CV]  c1=0.6991537965774974, c2=0.04570291980488693, score=0.790805 -   1.6s
[CV] c1=0.5816507899142498, c2=0.005786099892587632 ..................
[CV]  c1=0.5816507899142498, c2=0.005786099892587632, score=0.754215 -   1.5s
[CV] c1=0.33853724354622605, c2=0.10675072536996977 ..................
[CV]  c1=0.33853724354622605, c2=0.10675072536996977, score=0.816874 -   1.5s
[CV] c1=0.5746487876881318, c2=0.0619402410729387 ....................
[CV]  c1=0.5746487876881318, c2=0.0619402410729387, score=0.790805 -   1.6s
[CV] c1=0.10091524180580203, c2=0.0828102161160284 ...................
[CV]  c1=0.10091524180580203, c2=0.0828102161160284, score=0.798375 -   1.6s
[CV] c1=0.6223954865806207, c2=0.18351971412387091 ...................
[CV]  c1=0.6223954865806207, c2=0.18351971412387091, score=0.862592 -   1.4s
[CV] c1=0.17304726594712122, c2=0.03741150435224387 ..................
[CV]  c1=0.17304726594712122, c2=0.03741150435224387, score=0.865898 -   1.5s
[CV] c1=0.417437125535066, c2=0.08911278904024504 ....................
[CV]  c1=0.417437125535066, c2=0.08911278904024504, score=0.848881 -   1.5s
[CV] c1=1.1725555257872322, c2=0.025448919401088867 ..................
[CV]  c1=1.1725555257872322, c2=0.025448919401088867, score=0.612017 -   1.4s
[CV] c1=0.20583355880971654, c2=0.08802752825342151 ..................
[CV]  c1=0.20583355880971654, c2=0.08802752825342151, score=0.852133 -   1.4s
[CV] c1=0.4444943295318832, c2=0.004242778545624148 ..................
[CV]  c1=0.4444943295318832, c2=0.004242778545624148, score=0.855659 -   1.4s
[CV] c1=0.01280059944279151, c2=0.0054503127951117045 ................
[CV]  c1=0.01280059944279151, c2=0.0054503127951117045, score=0.756227 -   1.2s
[CV] c1=1.1384279065755318, c2=0.07514957135045887 ...................
[CV]  c1=1.1384279065755318, c2=0.07514957135045887, score=0.634407 -   1.5s
[CV] c1=0.5816507899142498, c2=0.005786099892587632 ..................
[CV]  c1=0.5816507899142498, c2=0.005786099892587632, score=0.841806 -   1.5s
[CV] c1=0.33853724354622605, c2=0.10675072536996977 ..................
[CV]  c1=0.33853724354622605, c2=0.10675072536996977, score=0.863121 -   1.6s
[CV] c1=0.12823567075468947, c2=0.008425255614496086 .................
[CV]  c1=0.12823567075468947, c2=0.008425255614496086, score=0.745882 -   1.0s
[CV] c1=0.6286746442165896, c2=0.0012691307572038873 .................
[CV]  c1=0.6286746442165896, c2=0.0012691307572038873, score=0.881385 -   1.5s
[CV] c1=0.20981199836312353, c2=0.35755713885668516 ..................
[CV]  c1=0.20981199836312353, c2=0.35755713885668516, score=0.878444 -   1.7s
[CV] c1=0.37132486242400087, c2=0.01119444771873534 ..................
[CV]  c1=0.37132486242400087, c2=0.01119444771873534, score=0.710862 -   1.3s
[CV] c1=0.847613678871929, c2=0.034642798572775815 ...................
[CV]  c1=0.847613678871929, c2=0.034642798572775815, score=0.858815 -   1.5s
[CV] c1=0.13348174314080838, c2=0.014141301190015311 .................
[CV]  c1=0.13348174314080838, c2=0.014141301190015311, score=0.900088 -   1.7s
[CV] c1=0.6483183793737672, c2=0.005918400788139635 ..................
[CV]  c1=0.6483183793737672, c2=0.005918400788139635, score=0.872845 -   1.5s
[CV] c1=0.09929592686704274, c2=0.013033972570977463 .................
[CV]  c1=0.09929592686704274, c2=0.013033972570977463, score=0.728685 -   1.2s
[CV] c1=0.0460549429032943, c2=0.028769458673108553 ..................
[CV]  c1=0.0460549429032943, c2=0.028769458673108553, score=0.895771 -   1.5s
[CV] c1=0.04785456922750736, c2=0.20397319120063562 ..................
[CV]  c1=0.04785456922750736, c2=0.20397319120063562, score=0.706680 -   1.2s
[CV] c1=0.02353381131847421, c2=0.1525121442960256 ...................
[CV]  c1=0.02353381131847421, c2=0.1525121442960256, score=0.810989 -   1.6s
[CV] c1=0.16618772182639738, c2=0.023477790221810495 .................
[CV]  c1=0.16618772182639738, c2=0.023477790221810495, score=0.825282 -   1.6s
[CV] c1=0.09907338920848256, c2=0.02186824273526147 ..................
[CV]  c1=0.09907338920848256, c2=0.02186824273526147, score=0.716337 -   1.1s
[CV] c1=0.8990217594484189, c2=0.011360518623520976 ..................
[CV]  c1=0.8990217594484189, c2=0.011360518623520976, score=0.704724 -   1.0s
[CV] c1=0.02678993662496756, c2=0.040545830222749706 .................
[CV]  c1=0.02678993662496756, c2=0.040545830222749706, score=0.814672 -   1.6s
[CV] c1=1.5458747348243667, c2=0.06576181040994135 ...................
[CV]  c1=1.5458747348243667, c2=0.06576181040994135, score=0.615263 -   1.6s
[CV] c1=0.03149222417941423, c2=0.020855380623907932 .................
[CV]  c1=0.03149222417941423, c2=0.020855380623907932, score=0.895771 -   1.6s
[CV] c1=0.847613678871929, c2=0.034642798572775815 ...................
[CV]  c1=0.847613678871929, c2=0.034642798572775815, score=0.735281 -   1.6s
[CV] c1=0.2671042646127421, c2=0.0765045140139823 ....................
[CV]  c1=0.2671042646127421, c2=0.0765045140139823, score=0.722945 -   1.3s
[CV] c1=1.088508870979727, c2=0.01953307866096488 ....................
[CV]  c1=1.088508870979727, c2=0.01953307866096488, score=0.856614 -   1.6s
[CV] c1=0.07919488535331357, c2=0.04197409949814856 ..................
[CV]  c1=0.07919488535331357, c2=0.04197409949814856, score=0.689485 -   1.2s
[CV] c1=0.2746801743479633, c2=0.08018040649358808 ...................
[CV]  c1=0.2746801743479633, c2=0.08018040649358808, score=0.722250 -   1.3s
[CV] c1=0.09600975142996006, c2=0.008007909271304375 .................
[CV]  c1=0.09600975142996006, c2=0.008007909271304375, score=0.854628 -   1.6s
[CV] c1=0.02353381131847421, c2=0.1525121442960256 ...................
[CV]  c1=0.02353381131847421, c2=0.1525121442960256, score=0.855135 -   1.5s
[CV] c1=0.16618772182639738, c2=0.023477790221810495 .................
[CV]  c1=0.16618772182639738, c2=0.023477790221810495, score=0.813673 -   1.6s
[CV] c1=0.6406262185524928, c2=0.05833302557005381 ...................
[CV]  c1=0.6406262185524928, c2=0.05833302557005381, score=0.810834 -   1.3s
[CV] c1=1.5926395986328217, c2=0.027772534566537985 ..................
[CV]  c1=1.5926395986328217, c2=0.027772534566537985, score=0.781900 -   1.5s
[CV] c1=0.3444258098730653, c2=0.015514778114727321 ..................
[CV]  c1=0.3444258098730653, c2=0.015514778114727321, score=0.807507 -   1.5s
[CV] c1=0.42417981195536114, c2=0.004981241167258888 .................
[CV]  c1=0.42417981195536114, c2=0.004981241167258888, score=0.793539 -   1.6s
[CV] c1=0.0322091674181712, c2=0.09533859358358143 ...................
[CV]  c1=0.0322091674181712, c2=0.09533859358358143, score=0.778465 -   1.6s
[CV] c1=0.18545785102170131, c2=0.11740039449408464 ..................
[CV]  c1=0.18545785102170131, c2=0.11740039449408464, score=0.856428 -   1.5s
[CV] c1=0.3037822868738045, c2=0.015728371133724998 ..................
[CV]  c1=0.3037822868738045, c2=0.015728371133724998, score=0.787827 -   1.6s
[CV] c1=1.7549975258539325, c2=0.23335825153289222 ...................
[CV]  c1=1.7549975258539325, c2=0.23335825153289222, score=0.783623 -   1.5s
[CV] c1=0.9426462528778126, c2=0.0025634577201602794 .................
[CV]  c1=0.9426462528778126, c2=0.0025634577201602794, score=0.853918 -   1.6s
[CV] c1=2.252713414829602, c2=0.009769591879074464 ...................
[CV]  c1=2.252713414829602, c2=0.009769591879074464, score=0.624774 -   1.6s
[CV] c1=1.2059222366230646, c2=0.013469582751461054 ..................
[CV]  c1=1.2059222366230646, c2=0.013469582751461054, score=0.852085 -   1.5s
[CV] c1=1.5521796181647511, c2=0.03710482898105592 ...................
[CV]  c1=1.5521796181647511, c2=0.03710482898105592, score=0.559876 -   1.3s
[CV] c1=0.33853724354622605, c2=0.10675072536996977 ..................
[CV]  c1=0.33853724354622605, c2=0.10675072536996977, score=0.896240 -   1.7s
[CV] c1=0.7530466967887264, c2=0.03995202682444961 ...................
[CV]  c1=0.7530466967887264, c2=0.03995202682444961, score=0.722650 -   1.6s
[CV] c1=0.8673847880356236, c2=0.023870166187632918 ..................
[CV]  c1=0.8673847880356236, c2=0.023870166187632918, score=0.737105 -   1.7s
[CV] c1=0.8577731432471695, c2=0.10250767998454163 ...................
[CV]  c1=0.8577731432471695, c2=0.10250767998454163, score=0.686751 -   1.6s
[CV] c1=0.17304726594712122, c2=0.03741150435224387 ..................
[CV]  c1=0.17304726594712122, c2=0.03741150435224387, score=0.895324 -   1.5s
[CV] c1=0.417437125535066, c2=0.08911278904024504 ....................
[CV]  c1=0.417437125535066, c2=0.08911278904024504, score=0.896240 -   1.5s
[CV] c1=1.1725555257872322, c2=0.025448919401088867 ..................
[CV]  c1=1.1725555257872322, c2=0.025448919401088867, score=0.664528 -   1.2s
[CV] c1=1.7549975258539325, c2=0.23335825153289222 ...................
[CV]  c1=1.7549975258539325, c2=0.23335825153289222, score=0.557560 -   1.6s
[CV] c1=0.2210030423673923, c2=0.021392524964607657 ..................
[CV]  c1=0.2210030423673923, c2=0.021392524964607657, score=0.735616 -   1.4s
[CV] c1=2.252713414829602, c2=0.009769591879074464 ...................
[CV]  c1=2.252713414829602, c2=0.009769591879074464, score=0.548345 -   1.6s
[CV] c1=1.2059222366230646, c2=0.013469582751461054 ..................
[CV]  c1=1.2059222366230646, c2=0.013469582751461054, score=0.627565 -   1.7s
[CV] c1=0.16618772182639738, c2=0.023477790221810495 .................
[CV]  c1=0.16618772182639738, c2=0.023477790221810495, score=0.724771 -   1.4s
[CV] c1=0.007713217923374723, c2=0.04325006662373007 .................
[CV]  c1=0.007713217923374723, c2=0.04325006662373007, score=0.814672 -   1.4s
[CV] c1=0.7530466967887264, c2=0.03995202682444961 ...................
[CV]  c1=0.7530466967887264, c2=0.03995202682444961, score=0.864939 -   1.5s
[CV] c1=0.8673847880356236, c2=0.023870166187632918 ..................
[CV]  c1=0.8673847880356236, c2=0.023870166187632918, score=0.703608 -   1.2s
[CV] c1=0.42417981195536114, c2=0.004981241167258888 .................
[CV]  c1=0.42417981195536114, c2=0.004981241167258888, score=0.810575 -   1.5s
[CV] c1=0.06221982133591153, c2=0.0647409154902905 ...................
[CV]  c1=0.06221982133591153, c2=0.0647409154902905, score=0.806751 -   1.5s
[CV] c1=0.18545785102170131, c2=0.11740039449408464 ..................
[CV]  c1=0.18545785102170131, c2=0.11740039449408464, score=0.789548 -   1.8s
[CV] c1=0.49218749425047786, c2=0.04874952524805749 ..................
[CV]  c1=0.49218749425047786, c2=0.04874952524805749, score=0.782379 -   1.6s
[CV] c1=0.38747594462867596, c2=0.12092323724443166 ..................
[CV]  c1=0.38747594462867596, c2=0.12092323724443166, score=0.843945 -   1.6s
[CV] c1=0.4444943295318832, c2=0.004242778545624148 ..................
[CV]  c1=0.4444943295318832, c2=0.004242778545624148, score=0.791077 -   1.6s
[CV] c1=0.01280059944279151, c2=0.0054503127951117045 ................
[CV]  c1=0.01280059944279151, c2=0.0054503127951117045, score=0.870758 -   1.6s
[CV] c1=0.087089706759416, c2=0.02399220826469535 ....................
[CV]  c1=0.087089706759416, c2=0.02399220826469535, score=0.735411 -   1.3s
[CV] c1=0.16618772182639738, c2=0.023477790221810495 .................
[CV]  c1=0.16618772182639738, c2=0.023477790221810495, score=0.903226 -   1.5s
[CV] c1=0.6406262185524928, c2=0.05833302557005381 ...................
[CV]  c1=0.6406262185524928, c2=0.05833302557005381, score=0.697482 -   1.2s
[CV] c1=1.5926395986328217, c2=0.027772534566537985 ..................
[CV]  c1=1.5926395986328217, c2=0.027772534566537985, score=0.559876 -   0.8s
[CV] c1=0.02678993662496756, c2=0.040545830222749706 .................
[CV]  c1=0.02678993662496756, c2=0.040545830222749706, score=0.794350 -   1.5s
[CV] c1=1.5458747348243667, c2=0.06576181040994135 ...................
[CV]  c1=1.5458747348243667, c2=0.06576181040994135, score=0.808740 -   1.5s
[CV] c1=0.6223954865806207, c2=0.18351971412387091 ...................
[CV]  c1=0.6223954865806207, c2=0.18351971412387091, score=0.682751 -   1.2s
[CV] c1=0.0716898995354181, c2=0.14726697029930955 ...................
[CV]  c1=0.0716898995354181, c2=0.14726697029930955, score=0.774880 -   1.5s
[CV] c1=0.5289094067756892, c2=0.07319000486175029 ...................
[CV]  c1=0.5289094067756892, c2=0.07319000486175029, score=0.805056 -   1.5s
[CV] c1=1.1725555257872322, c2=0.025448919401088867 ..................
[CV]  c1=1.1725555257872322, c2=0.025448919401088867, score=0.856614 -   1.5s
[CV] c1=0.20583355880971654, c2=0.08802752825342151 ..................
[CV]  c1=0.20583355880971654, c2=0.08802752825342151, score=0.690215 -   1.3s
[CV] c1=0.2210030423673923, c2=0.021392524964607657 ..................
[CV]  c1=0.2210030423673923, c2=0.021392524964607657, score=0.904693 -   1.6s
[CV] c1=0.09600975142996006, c2=0.008007909271304375 .................
[CV]  c1=0.09600975142996006, c2=0.008007909271304375, score=0.816264 -   1.6s
[CV] c1=1.2059222366230646, c2=0.013469582751461054 ..................
[CV]  c1=1.2059222366230646, c2=0.013469582751461054, score=0.604665 -   1.6s
[CV] c1=0.16618772182639738, c2=0.023477790221810495 .................
[CV]  c1=0.16618772182639738, c2=0.023477790221810495, score=0.871290 -   1.5s
[CV] c1=0.6406262185524928, c2=0.05833302557005381 ...................
[CV]  c1=0.6406262185524928, c2=0.05833302557005381, score=0.790805 -   1.3s
[CV] c1=0.5480898390376876, c2=0.05174099769137184 ...................
[CV]  c1=0.5480898390376876, c2=0.05174099769137184, score=0.725277 -   1.4s
[CV] c1=0.3444258098730653, c2=0.015514778114727321 ..................
[CV]  c1=0.3444258098730653, c2=0.015514778114727321, score=0.709447 -   1.2s
[CV] c1=0.20981199836312353, c2=0.35755713885668516 ..................
[CV]  c1=0.20981199836312353, c2=0.35755713885668516, score=0.699714 -   1.3s
[CV] c1=0.32973845421832393, c2=0.04094369218817692 ..................
[CV]  c1=0.32973845421832393, c2=0.04094369218817692, score=0.859037 -   1.4s
[CV] c1=0.17304726594712122, c2=0.03741150435224387 ..................
[CV]  c1=0.17304726594712122, c2=0.03741150435224387, score=0.813673 -   1.6s
[CV] c1=0.1132833808751859, c2=0.04387257556372944 ...................
[CV]  c1=0.1132833808751859, c2=0.04387257556372944, score=0.896815 -   1.6s
[CV] c1=2.0860857132741657, c2=0.0034979084390273614 .................
[CV]  c1=2.0860857132741657, c2=0.0034979084390273614, score=0.615333 -   1.4s
[CV] c1=0.20387691693835, c2=0.031362381001457156 ....................
[CV]  c1=0.20387691693835, c2=0.031362381001457156, score=0.809990 -   1.5s
[CV] c1=0.2746801743479633, c2=0.08018040649358808 ...................
[CV]  c1=0.2746801743479633, c2=0.08018040649358808, score=0.871290 -   1.5s
[CV] c1=0.07219074675521348, c2=0.0007288670335419899 ................
[CV]  c1=0.07219074675521348, c2=0.0007288670335419899, score=0.873245 -   1.5s
[CV] c1=0.087089706759416, c2=0.02399220826469535 ....................
[CV]  c1=0.087089706759416, c2=0.02399220826469535, score=0.867458 -   1.4s
[CV] c1=0.575460098667562, c2=0.00021419045862628924 .................
[CV]  c1=0.575460098667562, c2=0.00021419045862628924, score=0.707695 -   1.2s
[CV] c1=0.007713217923374723, c2=0.04325006662373007 .................
[CV]  c1=0.007713217923374723, c2=0.04325006662373007, score=0.776497 -   1.4s
[CV] c1=0.20683679383507061, c2=0.007367586512242107 .................
[CV]  c1=0.20683679383507061, c2=0.007367586512242107, score=0.905292 -   1.2s
[CV] c1=0.02678993662496756, c2=0.040545830222749706 .................
[CV]  c1=0.02678993662496756, c2=0.040545830222749706, score=0.840527 -   1.4s
[CV] c1=0.10091524180580203, c2=0.0828102161160284 ...................
[CV]  c1=0.10091524180580203, c2=0.0828102161160284, score=0.865502 -   1.5s
[CV] c1=0.32973845421832393, c2=0.04094369218817692 ..................
[CV]  c1=0.32973845421832393, c2=0.04094369218817692, score=0.803666 -   1.6s
[CV] c1=0.15223561989628817, c2=0.021641808821875122 .................
[CV]  c1=0.15223561989628817, c2=0.021641808821875122, score=0.745197 -   1.3s
[CV] c1=0.417437125535066, c2=0.08911278904024504 ....................
[CV]  c1=0.417437125535066, c2=0.08911278904024504, score=0.690533 -   1.3s
[CV] c1=0.49218749425047786, c2=0.04874952524805749 ..................
[CV]  c1=0.49218749425047786, c2=0.04874952524805749, score=0.844586 -   1.5s
[CV] c1=0.38747594462867596, c2=0.12092323724443166 ..................
[CV]  c1=0.38747594462867596, c2=0.12092323724443166, score=0.808066 -   1.5s
[CV] c1=0.4444943295318832, c2=0.004242778545624148 ..................
[CV]  c1=0.4444943295318832, c2=0.004242778545624148, score=0.714054 -   1.2s
[CV] c1=2.252713414829602, c2=0.009769591879074464 ...................
[CV]  c1=2.252713414829602, c2=0.009769591879074464, score=0.709885 -   1.5s
[CV] c1=1.1384279065755318, c2=0.07514957135045887 ...................
[CV]  c1=1.1384279065755318, c2=0.07514957135045887, score=0.606845 -   1.6s
[CV] c1=1.5521796181647511, c2=0.03710482898105592 ...................
[CV]  c1=1.5521796181647511, c2=0.03710482898105592, score=0.739758 -   1.6s
[CV] c1=0.6406262185524928, c2=0.05833302557005381 ...................
[CV]  c1=0.6406262185524928, c2=0.05833302557005381, score=0.879207 -   1.5s
[CV] c1=0.7074366748667956, c2=0.011163597627217496 ..................
[CV]  c1=0.7074366748667956, c2=0.011163597627217496, score=0.790805 -   1.6s
[CV] c1=0.8673847880356236, c2=0.023870166187632918 ..................
[CV]  c1=0.8673847880356236, c2=0.023870166187632918, score=0.676312 -   1.6s
[CV] c1=0.8577731432471695, c2=0.10250767998454163 ...................
[CV]  c1=0.8577731432471695, c2=0.10250767998454163, score=0.855870 -   1.6s
[CV] c1=0.0716898995354181, c2=0.14726697029930955 ...................
[CV]  c1=0.0716898995354181, c2=0.14726697029930955, score=0.800679 -   1.5s
[CV] c1=0.5289094067756892, c2=0.07319000486175029 ...................
[CV]  c1=0.5289094067756892, c2=0.07319000486175029, score=0.820703 -   1.5s
[CV] c1=0.49218749425047786, c2=0.04874952524805749 ..................
[CV]  c1=0.49218749425047786, c2=0.04874952524805749, score=0.706551 -   1.2s
[CV] c1=0.4430498148592107, c2=0.23314316222255071 ...................
[CV]  c1=0.4430498148592107, c2=0.23314316222255071, score=0.797907 -   1.6s
[CV] c1=0.9426462528778126, c2=0.0025634577201602794 .................
[CV]  c1=0.9426462528778126, c2=0.0025634577201602794, score=0.671257 -   1.6s
[CV] c1=0.09600975142996006, c2=0.008007909271304375 .................
[CV]  c1=0.09600975142996006, c2=0.008007909271304375, score=0.904693 -   1.7s
[CV] c1=0.02353381131847421, c2=0.1525121442960256 ...................
[CV]  c1=0.02353381131847421, c2=0.1525121442960256, score=0.864676 -   1.5s
[CV] c1=1.5521796181647511, c2=0.03710482898105592 ...................
[CV]  c1=1.5521796181647511, c2=0.03710482898105592, score=0.570340 -   1.5s
[CV] c1=0.6406262185524928, c2=0.05833302557005381 ...................
[CV]  c1=0.6406262185524928, c2=0.05833302557005381, score=0.725277 -   1.4s
[CV] c1=0.7530466967887264, c2=0.03995202682444961 ...................
[CV]  c1=0.7530466967887264, c2=0.03995202682444961, score=0.692146 -   1.2s
[CV] c1=0.01593338388462716, c2=0.09853744150926547 ..................
[CV]  c1=0.01593338388462716, c2=0.09853744150926547, score=0.878292 -   1.4s
[CV] c1=0.42417981195536114, c2=0.004981241167258888 .................
[CV]  c1=0.42417981195536114, c2=0.004981241167258888, score=0.896472 -   1.6s
[CV] c1=0.0322091674181712, c2=0.09533859358358143 ...................
[CV]  c1=0.0322091674181712, c2=0.09533859358358143, score=0.855135 -   1.5s
[CV] c1=0.1224491789275251, c2=0.0033517505477052272 .................
[CV]  c1=0.1224491789275251, c2=0.0033517505477052272, score=0.842643 -   1.6s
[CV] c1=0.3037822868738045, c2=0.015728371133724998 ..................
[CV]  c1=0.3037822868738045, c2=0.015728371133724998, score=0.734614 -   1.2s
[CV] c1=0.6483183793737672, c2=0.005918400788139635 ..................
[CV]  c1=0.6483183793737672, c2=0.005918400788139635, score=0.803283 -   1.6s
[CV] c1=0.3100693166187756, c2=0.020076050442806845 ..................
[CV]  c1=0.3100693166187756, c2=0.020076050442806845, score=0.729576 -   1.2s
[CV] c1=0.0460549429032943, c2=0.028769458673108553 ..................
[CV]  c1=0.0460549429032943, c2=0.028769458673108553, score=0.792471 -   1.6s
[CV] c1=1.8595800481739864, c2=0.03132228815124959 ...................
[CV]  c1=1.8595800481739864, c2=0.03132228815124959, score=0.526103 -   1.2s
[CV] c1=0.087089706759416, c2=0.02399220826469535 ....................
[CV]  c1=0.087089706759416, c2=0.02399220826469535, score=0.830688 -   1.6s
[CV] c1=0.3794849475746575, c2=0.052776022037807326 ..................
[CV]  c1=0.3794849475746575, c2=0.052776022037807326, score=0.721718 -   1.2s
[CV] c1=0.09907338920848256, c2=0.02186824273526147 ..................
[CV]  c1=0.09907338920848256, c2=0.02186824273526147, score=0.893784 -   1.3s
[CV] c1=0.5480898390376876, c2=0.05174099769137184 ...................
[CV]  c1=0.5480898390376876, c2=0.05174099769137184, score=0.839015 -   1.3s
[CV] c1=0.6286746442165896, c2=0.0012691307572038873 .................
[CV]  c1=0.6286746442165896, c2=0.0012691307572038873, score=0.724454 -   1.7s
[CV] c1=0.7720054005612511, c2=0.0051400727509498464 .................
[CV]  c1=0.7720054005612511, c2=0.0051400727509498464, score=0.810471 -   1.4s
[CV] c1=0.37132486242400087, c2=0.01119444771873534 ..................
[CV]  c1=0.37132486242400087, c2=0.01119444771873534, score=0.803666 -   1.6s
[CV] c1=0.1224491789275251, c2=0.0033517505477052272 .................
[CV]  c1=0.1224491789275251, c2=0.0033517505477052272, score=0.734477 -   1.3s
[CV] c1=0.2671042646127421, c2=0.0765045140139823 ....................
[CV]  c1=0.2671042646127421, c2=0.0765045140139823, score=0.911097 -   1.6s
[CV] c1=0.6483183793737672, c2=0.005918400788139635 ..................
[CV]  c1=0.6483183793737672, c2=0.005918400788139635, score=0.703602 -   1.3s
[CV] c1=0.07919488535331357, c2=0.04197409949814856 ..................
[CV]  c1=0.07919488535331357, c2=0.04197409949814856, score=0.895771 -   1.6s
[CV] c1=0.0460549429032943, c2=0.028769458673108553 ..................
[CV]  c1=0.0460549429032943, c2=0.028769458673108553, score=0.850857 -   1.5s
[CV] c1=0.04785456922750736, c2=0.20397319120063562 ..................
[CV]  c1=0.04785456922750736, c2=0.20397319120063562, score=0.849932 -   1.5s
[CV] c1=0.23878531342101858, c2=0.04617487509013554 ..................
[CV]  c1=0.23878531342101858, c2=0.04617487509013554, score=0.799749 -   1.6s
[CV] c1=0.3794849475746575, c2=0.052776022037807326 ..................
[CV]  c1=0.3794849475746575, c2=0.052776022037807326, score=0.813806 -   1.6s
[CV] c1=0.6761343506101218, c2=0.006181947071106111 ..................
[CV]  c1=0.6761343506101218, c2=0.006181947071106111, score=0.705388 -   0.9s
[CV] c1=0.5480898390376876, c2=0.05174099769137184 ...................
[CV]  c1=0.5480898390376876, c2=0.05174099769137184, score=0.793318 -   1.4s
[CV] c1=0.3444258098730653, c2=0.015514778114727321 ..................
[CV]  c1=0.3444258098730653, c2=0.015514778114727321, score=0.803666 -   1.5s
[CV] c1=0.7720054005612511, c2=0.0051400727509498464 .................
[CV]  c1=0.7720054005612511, c2=0.0051400727509498464, score=0.700838 -   1.2s
[CV] c1=0.6223954865806207, c2=0.18351971412387091 ...................
[CV]  c1=0.6223954865806207, c2=0.18351971412387091, score=0.796987 -   1.4s
[CV] c1=0.15223561989628817, c2=0.021641808821875122 .................
[CV]  c1=0.15223561989628817, c2=0.021641808821875122, score=0.809990 -   1.6s
[CV] c1=0.1132833808751859, c2=0.04387257556372944 ...................
[CV]  c1=0.1132833808751859, c2=0.04387257556372944, score=0.808412 -   1.6s
[CV] c1=2.0860857132741657, c2=0.0034979084390273614 .................
[CV]  c1=2.0860857132741657, c2=0.0034979084390273614, score=0.540999 -   1.7s
[CV] c1=0.07919488535331357, c2=0.04197409949814856 ..................
[CV]  c1=0.07919488535331357, c2=0.04197409949814856, score=0.827103 -   1.5s
[CV] c1=0.3285805175557343, c2=0.01554041559620966 ...................
[CV]  c1=0.3285805175557343, c2=0.01554041559620966, score=0.729576 -   1.2s
[CV] c1=0.04785456922750736, c2=0.20397319120063562 ..................
[CV]  c1=0.04785456922750736, c2=0.20397319120063562, score=0.864676 -   1.5s
[CV] c1=0.23878531342101858, c2=0.04617487509013554 ..................
[CV]  c1=0.23878531342101858, c2=0.04617487509013554, score=0.734102 -   1.3s
[CV] c1=0.575460098667562, c2=0.00021419045862628924 .................
[CV]  c1=0.575460098667562, c2=0.00021419045862628924, score=0.896984 -   1.6s
[CV] c1=0.09907338920848256, c2=0.02186824273526147 ..................
[CV]  c1=0.09907338920848256, c2=0.02186824273526147, score=0.860111 -   1.2s
[CV] c1=0.8990217594484189, c2=0.011360518623520976 ..................
[CV]  c1=0.8990217594484189, c2=0.011360518623520976, score=0.804904 -   1.3s
[CV] c1=0.6286746442165896, c2=0.0012691307572038873 .................
[CV]  c1=0.6286746442165896, c2=0.0012691307572038873, score=0.711099 -   1.2s
[CV] c1=0.10091524180580203, c2=0.0828102161160284 ...................
[CV]  c1=0.10091524180580203, c2=0.0828102161160284, score=0.824792 -   1.6s
[CV] c1=0.6223954865806207, c2=0.18351971412387091 ...................
[CV]  c1=0.6223954865806207, c2=0.18351971412387091, score=0.794587 -   1.6s
[CV] c1=0.847613678871929, c2=0.034642798572775815 ...................
[CV]  c1=0.847613678871929, c2=0.034642798572775815, score=0.800605 -   1.4s
[CV] c1=0.13348174314080838, c2=0.014141301190015311 .................
[CV]  c1=0.13348174314080838, c2=0.014141301190015311, score=0.744605 -   1.2s
[CV] c1=2.0860857132741657, c2=0.0034979084390273614 .................
[CV]  c1=2.0860857132741657, c2=0.0034979084390273614, score=0.782634 -   1.6s
[CV] c1=0.20387691693835, c2=0.031362381001457156 ....................
[CV]  c1=0.20387691693835, c2=0.031362381001457156, score=0.733399 -   1.2s
[CV] c1=0.2210030423673923, c2=0.021392524964607657 ..................
[CV]  c1=0.2210030423673923, c2=0.021392524964607657, score=0.826145 -   1.6s
[CV] c1=0.01280059944279151, c2=0.0054503127951117045 ................
[CV]  c1=0.01280059944279151, c2=0.0054503127951117045, score=0.856219 -   1.5s
[CV] c1=0.087089706759416, c2=0.02399220826469535 ....................
[CV]  c1=0.087089706759416, c2=0.02399220826469535, score=0.898988 -   1.6s
[CV] c1=0.575460098667562, c2=0.00021419045862628924 .................
[CV]  c1=0.575460098667562, c2=0.00021419045862628924, score=0.766750 -   1.6s
[CV] c1=0.3432611249535935, c2=0.0021626833035718724 .................
[CV]  c1=0.3432611249535935, c2=0.0021626833035718724, score=0.722495 -   1.2s
[CV] c1=0.5480898390376876, c2=0.05174099769137184 ...................
[CV]  c1=0.5480898390376876, c2=0.05174099769137184, score=0.713710 -   0.9s
[CV] c1=0.02678993662496756, c2=0.040545830222749706 .................
[CV]  c1=0.02678993662496756, c2=0.040545830222749706, score=0.726998 -   1.3s
[CV] c1=0.738096163980694, c2=0.03865014750153331 ....................
[CV]  c1=0.738096163980694, c2=0.03865014750153331, score=0.864939 -   1.5s
[CV] c1=0.8577731432471695, c2=0.10250767998454163 ...................
[CV]  c1=0.8577731432471695, c2=0.10250767998454163, score=0.683812 -   1.2s
[CV] c1=0.16657549697905746, c2=0.03637150007426991 ..................
[CV]  c1=0.16657549697905746, c2=0.03637150007426991, score=0.736042 -   1.2s
[CV] c1=0.1224491789275251, c2=0.0033517505477052272 .................
[CV]  c1=0.1224491789275251, c2=0.0033517505477052272, score=0.868240 -   1.5s
[CV] c1=0.38240923544255145, c2=0.04475572667852682 ..................
[CV]  c1=0.38240923544255145, c2=0.04475572667852682, score=0.782453 -   1.5s
[CV] c1=0.01482308805569382, c2=0.02775422891555355 ..................
[CV]  c1=0.01482308805569382, c2=0.02775422891555355, score=0.830998 -   1.5s
[CV] c1=1.536119848288508, c2=0.018444711611760707 ...................
[CV]  c1=1.536119848288508, c2=0.018444711611760707, score=0.825281 -   1.5s
[CV] c1=1.4349786410928151, c2=0.07114056216396565 ...................
[CV]  c1=1.4349786410928151, c2=0.07114056216396565, score=0.551373 -   1.3s
[CV] c1=0.0882059313482759, c2=0.029846714970675203 ..................
[CV]  c1=0.0882059313482759, c2=0.029846714970675203, score=0.738997 -   1.2s
[CV] c1=0.05238291068519, c2=0.03403244797168877 .....................
[CV]  c1=0.05238291068519, c2=0.03403244797168877, score=0.737622 -   1.2s
[CV] c1=0.3794849475746575, c2=0.052776022037807326 ..................
[CV]  c1=0.3794849475746575, c2=0.052776022037807326, score=0.892971 -   1.7s
[CV] c1=0.6761343506101218, c2=0.006181947071106111 ..................
[CV]  c1=0.6761343506101218, c2=0.006181947071106111, score=0.874664 -   1.0s
[CV] c1=0.8990217594484189, c2=0.011360518623520976 ..................
[CV]  c1=0.8990217594484189, c2=0.011360518623520976, score=0.865243 -   1.3s
[CV] c1=0.11550912719239621, c2=0.02191878871015035 ..................
[CV]  c1=0.11550912719239621, c2=0.02191878871015035, score=0.861208 -   1.4s
[CV] c1=1.5458747348243667, c2=0.06576181040994135 ...................
[CV]  c1=1.5458747348243667, c2=0.06576181040994135, score=0.777365 -   1.5s
[CV] c1=0.6223954865806207, c2=0.18351971412387091 ...................
[CV]  c1=0.6223954865806207, c2=0.18351971412387091, score=0.712770 -   1.6s
[CV] c1=0.15223561989628817, c2=0.021641808821875122 .................
[CV]  c1=0.15223561989628817, c2=0.021641808821875122, score=0.825629 -   1.6s
[CV] c1=0.13348174314080838, c2=0.014141301190015311 .................
[CV]  c1=0.13348174314080838, c2=0.014141301190015311, score=0.867854 -   1.5s
[CV] c1=1.088508870979727, c2=0.01953307866096488 ....................
[CV]  c1=1.088508870979727, c2=0.01953307866096488, score=0.678898 -   1.3s
[CV] c1=0.20387691693835, c2=0.031362381001457156 ....................
[CV]  c1=0.20387691693835, c2=0.031362381001457156, score=0.865502 -   1.5s
[CV] c1=0.2746801743479633, c2=0.08018040649358808 ...................
[CV]  c1=0.2746801743479633, c2=0.08018040649358808, score=0.799749 -   1.6s
[CV] c1=0.07219074675521348, c2=0.0007288670335419899 ................
[CV]  c1=0.07219074675521348, c2=0.0007288670335419899, score=0.808132 -   1.6s
[CV] c1=0.23878531342101858, c2=0.04617487509013554 ..................
[CV]  c1=0.23878531342101858, c2=0.04617487509013554, score=0.865898 -   1.5s
[CV] c1=0.3794849475746575, c2=0.052776022037807326 ..................
[CV]  c1=0.3794849475746575, c2=0.052776022037807326, score=0.776928 -   1.6s
[CV] c1=0.3432611249535935, c2=0.0021626833035718724 .................
[CV]  c1=0.3432611249535935, c2=0.0021626833035718724, score=0.806991 -   1.1s
[CV] c1=0.20683679383507061, c2=0.007367586512242107 .................
[CV]  c1=0.20683679383507061, c2=0.007367586512242107, score=0.802138 -   1.2s
[CV] c1=0.11550912719239621, c2=0.02191878871015035 ..................
[CV]  c1=0.11550912719239621, c2=0.02191878871015035, score=0.734351 -   1.3s
[CV] c1=0.10091524180580203, c2=0.0828102161160284 ...................
[CV]  c1=0.10091524180580203, c2=0.0828102161160284, score=0.896221 -   1.6s
[CV] c1=0.32973845421832393, c2=0.04094369218817692 ..................
[CV]  c1=0.32973845421832393, c2=0.04094369218817692, score=0.807507 -   1.7s
[CV] c1=0.15223561989628817, c2=0.021641808821875122 .................
[CV]  c1=0.15223561989628817, c2=0.021641808821875122, score=0.871290 -   1.5s
[CV] c1=0.1132833808751859, c2=0.04387257556372944 ...................
[CV]  c1=0.1132833808751859, c2=0.04387257556372944, score=0.855817 -   1.5s
[CV] c1=2.0860857132741657, c2=0.0034979084390273614 .................
[CV]  c1=2.0860857132741657, c2=0.0034979084390273614, score=0.718362 -   1.5s
[CV] c1=0.20387691693835, c2=0.031362381001457156 ....................
[CV]  c1=0.20387691693835, c2=0.031362381001457156, score=0.810575 -   1.6s
[CV] c1=0.0460549429032943, c2=0.028769458673108553 ..................
[CV]  c1=0.0460549429032943, c2=0.028769458673108553, score=0.740874 -   1.3s
[CV] c1=0.07219074675521348, c2=0.0007288670335419899 ................
[CV]  c1=0.07219074675521348, c2=0.0007288670335419899, score=0.905292 -   1.6s
[CV] c1=0.087089706759416, c2=0.02399220826469535 ....................
[CV]  c1=0.087089706759416, c2=0.02399220826469535, score=0.808412 -   1.6s
[CV] c1=0.575460098667562, c2=0.00021419045862628924 .................
[CV]  c1=0.575460098667562, c2=0.00021419045862628924, score=0.811460 -   1.6s
[CV] c1=0.3432611249535935, c2=0.0021626833035718724 .................
[CV]  c1=0.3432611249535935, c2=0.0021626833035718724, score=0.907129 -   1.2s
[CV] c1=0.12823567075468947, c2=0.008425255614496086 .................
[CV]  c1=0.12823567075468947, c2=0.008425255614496086, score=0.816264 -   1.7s
[CV] c1=0.01640092534730905, c2=0.02334032117408328 ..................
[CV]  c1=0.01640092534730905, c2=0.02334032117408328, score=0.823472 -   1.5s
[CV] c1=0.01504862845566513, c2=0.01147875800505408 ..................
[CV]  c1=0.01504862845566513, c2=0.01147875800505408, score=0.890012 -   1.4s
[CV] c1=0.06221982133591153, c2=0.0647409154902905 ...................
[CV]  c1=0.06221982133591153, c2=0.0647409154902905, score=0.840527 -   1.4s
[CV] c1=0.18545785102170131, c2=0.11740039449408464 ..................
[CV]  c1=0.18545785102170131, c2=0.11740039449408464, score=0.900007 -   1.6s
[CV] c1=0.2762743071899032, c2=0.08303979878559127 ...................
[CV]  c1=0.2762743071899032, c2=0.08303979878559127, score=0.718418 -   1.2s
[CV] c1=0.01482308805569382, c2=0.02775422891555355 ..................
[CV]  c1=0.01482308805569382, c2=0.02775422891555355, score=0.850857 -   1.4s
[CV] c1=0.3100693166187756, c2=0.020076050442806845 ..................
[CV]  c1=0.3100693166187756, c2=0.020076050442806845, score=0.912960 -   1.5s
[CV] c1=0.058985761157574416, c2=0.003179038349964388 ................
[CV]  c1=0.058985761157574416, c2=0.003179038349964388, score=0.864170 -   1.5s
[CV] c1=0.0882059313482759, c2=0.029846714970675203 ..................
[CV]  c1=0.0882059313482759, c2=0.029846714970675203, score=0.861208 -   1.4s
[CV] c1=0.13126281789522845, c2=0.03056677864581711 ..................
[CV]  c1=0.13126281789522845, c2=0.03056677864581711, score=0.737064 -   1.2s
[CV] c1=0.031957638957658276, c2=0.04959049950654494 .................
[CV]  c1=0.031957638957658276, c2=0.04959049950654494, score=0.871648 -   1.6s
[CV] c1=0.6761343506101218, c2=0.006181947071106111 ..................
[CV]  c1=0.6761343506101218, c2=0.006181947071106111, score=0.819777 -   1.0s
[CV] c1=1.5926395986328217, c2=0.027772534566537985 ..................
[CV]  c1=1.5926395986328217, c2=0.027772534566537985, score=0.570340 -   1.5s
[CV] c1=0.01593338388462716, c2=0.09853744150926547 ..................
[CV]  c1=0.01593338388462716, c2=0.09853744150926547, score=0.725885 -   1.3s
[CV] c1=0.7720054005612511, c2=0.0051400727509498464 .................
[CV]  c1=0.7720054005612511, c2=0.0051400727509498464, score=0.715807 -   1.6s
[CV] c1=0.0322091674181712, c2=0.09533859358358143 ...................
[CV]  c1=0.0322091674181712, c2=0.09533859358358143, score=0.869054 -   1.4s
[CV] c1=0.5147550850928538, c2=0.044074208716494256 ..................
[CV]  c1=0.5147550850928538, c2=0.044074208716494256, score=0.844586 -   1.5s
[CV] c1=0.2671042646127421, c2=0.0765045140139823 ....................
[CV]  c1=0.2671042646127421, c2=0.0765045140139823, score=0.865502 -   1.6s
[CV] c1=0.01482308805569382, c2=0.02775422891555355 ..................
[CV]  c1=0.01482308805569382, c2=0.02775422891555355, score=0.734404 -   1.2s
[CV] c1=0.07919488535331357, c2=0.04197409949814856 ..................
[CV]  c1=0.07919488535331357, c2=0.04197409949814856, score=0.861208 -   1.4s
[CV] c1=0.0460549429032943, c2=0.028769458673108553 ..................
[CV]  c1=0.0460549429032943, c2=0.028769458673108553, score=0.812234 -   1.6s
[CV] c1=0.04785456922750736, c2=0.20397319120063562 ..................
[CV]  c1=0.04785456922750736, c2=0.20397319120063562, score=0.775332 -   1.5s
[CV] c1=0.05238291068519, c2=0.03403244797168877 .....................
[CV]  c1=0.05238291068519, c2=0.03403244797168877, score=0.895176 -   1.5s
[CV] c1=0.031957638957658276, c2=0.04959049950654494 .................
[CV]  c1=0.031957638957658276, c2=0.04959049950654494, score=0.726998 -   1.2s
[CV] c1=0.09907338920848256, c2=0.02186824273526147 ..................
[CV]  c1=0.09907338920848256, c2=0.02186824273526147, score=0.855769 -   1.3s
[CV] c1=0.8990217594484189, c2=0.011360518623520976 ..................
[CV]  c1=0.8990217594484189, c2=0.011360518623520976, score=0.698414 -   1.5s
[CV] c1=0.6286746442165896, c2=0.0012691307572038873 .................
[CV]  c1=0.6286746442165896, c2=0.0012691307572038873, score=0.822360 -   1.6s
[CV] c1=0.7720054005612511, c2=0.0051400727509498464 .................
[CV]  c1=0.7720054005612511, c2=0.0051400727509498464, score=0.788087 -   1.6s
[CV] c1=0.0322091674181712, c2=0.09533859358358143 ...................
[CV]  c1=0.0322091674181712, c2=0.09533859358358143, score=0.720221 -   1.2s
[CV] c1=0.5147550850928538, c2=0.044074208716494256 ..................
[CV]  c1=0.5147550850928538, c2=0.044074208716494256, score=0.894129 -   1.6s
[CV] c1=0.2671042646127421, c2=0.0765045140139823 ....................
[CV]  c1=0.2671042646127421, c2=0.0765045140139823, score=0.799749 -   1.6s
[CV] c1=0.01482308805569382, c2=0.02775422891555355 ..................
[CV]  c1=0.01482308805569382, c2=0.02775422891555355, score=0.862558 -   1.6s
[CV] c1=0.3100693166187756, c2=0.020076050442806845 ..................
[CV]  c1=0.3100693166187756, c2=0.020076050442806845, score=0.859037 -   1.6s
[CV] c1=1.4349786410928151, c2=0.07114056216396565 ...................
[CV]  c1=1.4349786410928151, c2=0.07114056216396565, score=0.823320 -   1.5s
[CV] c1=0.6991537965774974, c2=0.04570291980488693 ...................
[CV]  c1=0.6991537965774974, c2=0.04570291980488693, score=0.708841 -   1.2s
[CV] c1=0.13126281789522845, c2=0.03056677864581711 ..................
[CV]  c1=0.13126281789522845, c2=0.03056677864581711, score=0.898988 -   1.5s
[CV] c1=0.13625951784456822, c2=0.018672561947623272 .................
[CV]  c1=0.13625951784456822, c2=0.018672561947623272, score=0.732375 -   1.2s
[CV] c1=0.3432611249535935, c2=0.0021626833035718724 .................
[CV]  c1=0.3432611249535935, c2=0.0021626833035718724, score=0.809990 -   1.3s
[CV] c1=1.5926395986328217, c2=0.027772534566537985 ..................
[CV]  c1=1.5926395986328217, c2=0.027772534566537985, score=0.612630 -   1.6s
[CV] c1=0.01593338388462716, c2=0.09853744150926547 ..................
[CV]  c1=0.01593338388462716, c2=0.09853744150926547, score=0.814672 -   1.6s
[CV] c1=0.576412021571655, c2=0.06443735729285986 ....................
[CV]  c1=0.576412021571655, c2=0.06443735729285986, score=0.711107 -   1.2s
[CV] c1=0.37132486242400087, c2=0.01119444771873534 ..................
[CV]  c1=0.37132486242400087, c2=0.01119444771873534, score=0.857855 -   1.6s
[CV] c1=0.1224491789275251, c2=0.0033517505477052272 .................
[CV]  c1=0.1224491789275251, c2=0.0033517505477052272, score=0.823919 -   1.6s
[CV] c1=0.3037822868738045, c2=0.015728371133724998 ..................
[CV]  c1=0.3037822868738045, c2=0.015728371133724998, score=0.906531 -   1.5s
[CV] c1=0.4430498148592107, c2=0.23314316222255071 ...................
[CV]  c1=0.4430498148592107, c2=0.23314316222255071, score=0.809013 -   1.5s
[CV] c1=1.536119848288508, c2=0.018444711611760707 ...................
[CV]  c1=1.536119848288508, c2=0.018444711611760707, score=0.777365 -   1.6s
[CV] c1=2.252713414829602, c2=0.009769591879074464 ...................
[CV]  c1=2.252713414829602, c2=0.009769591879074464, score=0.771566 -   1.5s
[CV] c1=1.1384279065755318, c2=0.07514957135045887 ...................
[CV]  c1=1.1384279065755318, c2=0.07514957135045887, score=0.658721 -   1.2s
[CV] c1=0.13126281789522845, c2=0.03056677864581711 ..................
[CV]  c1=0.13126281789522845, c2=0.03056677864581711, score=0.816264 -   1.6s
[CV] c1=0.10877154070690549, c2=0.0038482366294448275 ................
[CV]  c1=0.10877154070690549, c2=0.0038482366294448275, score=0.727498 -   1.2s
[CV] c1=0.6761343506101218, c2=0.006181947071106111 ..................
[CV]  c1=0.6761343506101218, c2=0.006181947071106111, score=0.822873 -   1.1s
[CV] c1=0.20683679383507061, c2=0.007367586512242107 .................
[CV]  c1=0.20683679383507061, c2=0.007367586512242107, score=0.726662 -   0.9s
[CV] c1=0.02678993662496756, c2=0.040545830222749706 .................
[CV]  c1=0.02678993662496756, c2=0.040545830222749706, score=0.872207 -   1.6s
[CV] c1=0.10091524180580203, c2=0.0828102161160284 ...................
[CV]  c1=0.10091524180580203, c2=0.0828102161160284, score=0.688020 -   1.5s
[CV] c1=0.32973845421832393, c2=0.04094369218817692 ..................
[CV]  c1=0.32973845421832393, c2=0.04094369218817692, score=0.911097 -   1.6s
[CV] c1=0.15223561989628817, c2=0.021641808821875122 .................
[CV]  c1=0.15223561989628817, c2=0.021641808821875122, score=0.905292 -   1.6s
[CV] c1=0.1132833808751859, c2=0.04387257556372944 ...................
[CV]  c1=0.1132833808751859, c2=0.04387257556372944, score=0.724781 -   1.4s
[CV] c1=1.1725555257872322, c2=0.025448919401088867 ..................
[CV]  c1=1.1725555257872322, c2=0.025448919401088867, score=0.634838 -   1.6s
[CV] c1=0.20387691693835, c2=0.031362381001457156 ....................
[CV]  c1=0.20387691693835, c2=0.031362381001457156, score=0.897424 -   1.6s
[CV] c1=0.2746801743479633, c2=0.08018040649358808 ...................
[CV]  c1=0.2746801743479633, c2=0.08018040649358808, score=0.911097 -   1.5s
[CV] c1=0.07219074675521348, c2=0.0007288670335419899 ................
[CV]  c1=0.07219074675521348, c2=0.0007288670335419899, score=0.802542 -   1.6s
[CV] c1=0.23878531342101858, c2=0.04617487509013554 ..................
[CV]  c1=0.23878531342101858, c2=0.04617487509013554, score=0.912960 -   1.6s
[CV] c1=0.3794849475746575, c2=0.052776022037807326 ..................
[CV]  c1=0.3794849475746575, c2=0.052776022037807326, score=0.863332 -   1.5s
[CV] c1=0.3432611249535935, c2=0.0021626833035718724 .................
[CV]  c1=0.3432611249535935, c2=0.0021626833035718724, score=0.859037 -   1.2s
[CV] c1=0.7530466967887264, c2=0.03995202682444961 ...................
[CV]  c1=0.7530466967887264, c2=0.03995202682444961, score=0.776560 -   1.6s
[CV] c1=0.738096163980694, c2=0.03865014750153331 ....................
[CV]  c1=0.738096163980694, c2=0.03865014750153331, score=0.803283 -   1.5s
[CV] c1=0.8577731432471695, c2=0.10250767998454163 ...................
[CV]  c1=0.8577731432471695, c2=0.10250767998454163, score=0.805255 -   1.5s
[CV] c1=0.0716898995354181, c2=0.14726697029930955 ...................
[CV]  c1=0.0716898995354181, c2=0.14726697029930955, score=0.845918 -   1.8s
[CV] c1=0.417437125535066, c2=0.08911278904024504 ....................
[CV]  c1=0.417437125535066, c2=0.08911278904024504, score=0.811949 -   1.6s
[CV] c1=2.0860857132741657, c2=0.0034979084390273614 .................
[CV]  c1=2.0860857132741657, c2=0.0034979084390273614, score=0.517137 -   1.2s
[CV] c1=0.20583355880971654, c2=0.08802752825342151 ..................
[CV]  c1=0.20583355880971654, c2=0.08802752825342151, score=0.906531 -   1.5s
[CV] c1=0.4444943295318832, c2=0.004242778545624148 ..................
[CV]  c1=0.4444943295318832, c2=0.004242778545624148, score=0.897070 -   1.6s
[CV] c1=0.01280059944279151, c2=0.0054503127951117045 ................
[CV]  c1=0.01280059944279151, c2=0.0054503127951117045, score=0.803979 -   1.5s
[CV] c1=0.02353381131847421, c2=0.1525121442960256 ...................
[CV]  c1=0.02353381131847421, c2=0.1525121442960256, score=0.775332 -   1.6s
[CV] c1=0.575460098667562, c2=0.00021419045862628924 .................
[CV]  c1=0.575460098667562, c2=0.00021419045862628924, score=0.841443 -   1.5s
[CV] c1=0.09907338920848256, c2=0.02186824273526147 ..................
[CV]  c1=0.09907338920848256, c2=0.02186824273526147, score=0.808412 -   1.3s
Training done in: 21.736258s
     Saving training model...
        Saving training model done in: 0.013450s
*********************************
Prediction done in: 0.034785s