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

Go to a project
Toggle navigation Toggle navigation pinning
Switch branch/tag
Run4_v12.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 1012 1013 1014 1015 
-------------------------------- 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: Run4
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: FalseS4: False
Run variant: 12
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003715s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0      1
0        lemma      :
1       postag      :
2     -1:lemma     in
3    -1:postag     IN
4     +1:lemma     m9
5    +1:postag     NN
6       hUpper  False
7       hLower  False
8       hGreek  False
9         symb  False
10    word[:1]      :
11  postag[:1]      :
12        word      :
13     isUpper  False
14     isLower  False
15     isGreek  False
16    isNumber  False
17     -1:word     in
18     +1:word     M9
--------------------------- FeaturesTest -----------------------------
             0           1
0        lemma  delta-arca
1       postag          NN
2     -1:lemma           _
3    -1:postag          NN
4     +1:lemma           _
5    +1:postag          CD
6       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10    word[:1]           d
11    word[:2]          de
12  postag[:1]           N
13  postag[:2]          NN
14        word  delta-arcA
15     isUpper       False
16     isLower       False
17     isGreek       False
18    isNumber       False
19     -1:word           _
20     +1:word           _
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.13591497349948053, c2=0.015370126153879957 .................
[CV]  c1=0.13591497349948053, c2=0.015370126153879957, score=0.811875 -   1.6s
[CV] c1=0.5756025325105375, c2=0.15095598256112344 ...................
[CV]  c1=0.5756025325105375, c2=0.15095598256112344, score=0.772889 -   1.5s
[CV] c1=0.38338608631652843, c2=0.027822655413081262 .................
[CV]  c1=0.38338608631652843, c2=0.027822655413081262, score=0.811913 -   1.5s
[CV] c1=0.713940846165791, c2=0.09586205073777561 ....................
[CV]  c1=0.713940846165791, c2=0.09586205073777561, score=0.771020 -   1.5s
[CV] c1=0.06891173458224052, c2=0.04337605961806967 ..................
[CV]  c1=0.06891173458224052, c2=0.04337605961806967, score=0.722705 -   1.2s
[CV] c1=0.563606374926745, c2=0.007071153747444824 ...................
[CV]  c1=0.563606374926745, c2=0.007071153747444824, score=0.801250 -   1.6s
[CV] c1=0.8058926306368921, c2=0.056988887198474406 ..................
[CV]  c1=0.8058926306368921, c2=0.056988887198474406, score=0.690860 -   1.5s
[CV] c1=0.5186599221104069, c2=0.1720205572483906 ....................
[CV]  c1=0.5186599221104069, c2=0.1720205572483906, score=0.665411 -   1.2s
[CV] c1=0.8758757292500615, c2=0.08029718223992988 ...................
[CV]  c1=0.8758757292500615, c2=0.08029718223992988, score=0.775232 -   1.5s
[CV] c1=0.3540172604558067, c2=0.0648917621152238 ....................
[CV]  c1=0.3540172604558067, c2=0.0648917621152238, score=0.793995 -   1.4s
[CV] c1=0.6055938433272359, c2=0.15779271604338616 ...................
[CV]  c1=0.6055938433272359, c2=0.15779271604338616, score=0.837415 -   1.4s
[CV] c1=0.5644634292209963, c2=0.14705512716465463 ...................
[CV]  c1=0.5644634292209963, c2=0.14705512716465463, score=0.866636 -   1.5s
[CV] c1=0.14215208171786164, c2=0.03134535229288128 ..................
[CV]  c1=0.14215208171786164, c2=0.03134535229288128, score=0.874740 -   1.3s
[CV] c1=0.08743658976751602, c2=0.05247191710430043 ..................
[CV]  c1=0.08743658976751602, c2=0.05247191710430043, score=0.713018 -   1.3s
[CV] c1=0.2568625165776027, c2=0.11084627845198175 ...................
[CV]  c1=0.2568625165776027, c2=0.11084627845198175, score=0.861072 -   1.4s
[CV] c1=0.15219007813321114, c2=0.09688991151743129 ..................
[CV]  c1=0.15219007813321114, c2=0.09688991151743129, score=0.693876 -   1.2s
[CV] c1=0.2531307967603095, c2=0.0060011221627798775 .................
[CV]  c1=0.2531307967603095, c2=0.0060011221627798775, score=0.720461 -   1.3s
[CV] c1=0.14460630240189126, c2=0.0521736961548441 ...................
[CV]  c1=0.14460630240189126, c2=0.0521736961548441, score=0.685517 -   1.3s
[CV] c1=0.34836452241726185, c2=0.053783822376658214 .................
[CV]  c1=0.34836452241726185, c2=0.053783822376658214, score=0.690980 -   1.2s
[CV] c1=0.028762721414033823, c2=0.17454942038075205 .................
[CV]  c1=0.028762721414033823, c2=0.17454942038075205, score=0.809895 -   1.5s
[CV] c1=0.5138797433202519, c2=0.2253453288676045 ....................
[CV]  c1=0.5138797433202519, c2=0.2253453288676045, score=0.847272 -   1.5s
[CV] c1=0.4285460963436179, c2=0.015974681628424837 ..................
[CV]  c1=0.4285460963436179, c2=0.015974681628424837, score=0.720947 -   1.3s
[CV] c1=0.3540172604558067, c2=0.0648917621152238 ....................
[CV]  c1=0.3540172604558067, c2=0.0648917621152238, score=0.862125 -   1.6s
[CV] c1=0.6055938433272359, c2=0.15779271604338616 ...................
[CV]  c1=0.6055938433272359, c2=0.15779271604338616, score=0.660924 -   1.2s
[CV] c1=0.8129308420706898, c2=0.0034398000719502372 .................
[CV]  c1=0.8129308420706898, c2=0.0034398000719502372, score=0.692750 -   1.7s
[CV] c1=0.3649931570092844, c2=0.15098183095306128 ...................
[CV]  c1=0.3649931570092844, c2=0.15098183095306128, score=0.736783 -   1.5s
[CV] c1=0.35868429962500403, c2=0.006192603410161613 .................
[CV]  c1=0.35868429962500403, c2=0.006192603410161613, score=0.722476 -   1.3s
[CV] c1=0.060818484883880045, c2=0.00017684390762451324 ..............
[CV]  c1=0.060818484883880045, c2=0.00017684390762451324, score=0.783869 -   1.6s
[CV] c1=0.713940846165791, c2=0.09586205073777561 ....................
[CV]  c1=0.713940846165791, c2=0.09586205073777561, score=0.699217 -   1.5s
[CV] c1=0.06891173458224052, c2=0.04337605961806967 ..................
[CV]  c1=0.06891173458224052, c2=0.04337605961806967, score=0.785017 -   1.5s
[CV] c1=1.6929157712041003, c2=0.05222159385138813 ...................
[CV]  c1=1.6929157712041003, c2=0.05222159385138813, score=0.537128 -   1.2s
[CV] c1=0.8058926306368921, c2=0.056988887198474406 ..................
[CV]  c1=0.8058926306368921, c2=0.056988887198474406, score=0.784491 -   1.5s
[CV] c1=0.5138797433202519, c2=0.2253453288676045 ....................
[CV]  c1=0.5138797433202519, c2=0.2253453288676045, score=0.659294 -   1.1s
[CV] c1=0.15152701030792404, c2=0.12398468462449115 ..................
[CV]  c1=0.15152701030792404, c2=0.12398468462449115, score=0.787283 -   1.5s
[CV] c1=2.903986766195795, c2=0.14073265016712758 ....................
[CV]  c1=2.903986766195795, c2=0.14073265016712758, score=0.589964 -   1.6s
[CV] c1=0.287172286762967, c2=0.07372141932025343 ....................
[CV]  c1=0.287172286762967, c2=0.07372141932025343, score=0.803524 -   1.6s
[CV] c1=0.5644634292209963, c2=0.14705512716465463 ...................
[CV]  c1=0.5644634292209963, c2=0.14705512716465463, score=0.709579 -   1.5s
[CV] c1=0.18424037136150165, c2=0.0017421449700899287 ................
[CV]  c1=0.18424037136150165, c2=0.0017421449700899287, score=0.791639 -   1.4s
[CV] c1=0.08743658976751602, c2=0.05247191710430043 ..................
[CV]  c1=0.08743658976751602, c2=0.05247191710430043, score=0.807391 -   1.6s
[CV] c1=0.4773034968799546, c2=0.015469955762877694 ..................
[CV]  c1=0.4773034968799546, c2=0.015469955762877694, score=0.716614 -   1.2s
[CV] c1=0.15219007813321114, c2=0.09688991151743129 ..................
[CV]  c1=0.15219007813321114, c2=0.09688991151743129, score=0.804478 -   1.6s
[CV] c1=0.41007335906401543, c2=1.7812117434355214e-05 ...............
[CV]  c1=0.41007335906401543, c2=1.7812117434355214e-05, score=0.867342 -   1.6s
[CV] c1=1.3281370462526119, c2=0.03954256817080354 ...................
[CV]  c1=1.3281370462526119, c2=0.03954256817080354, score=0.624970 -   1.7s
[CV] c1=0.08239932157639981, c2=0.07318823624686652 ..................
[CV]  c1=0.08239932157639981, c2=0.07318823624686652, score=0.875094 -   1.4s
[CV] c1=0.056423939630223484, c2=0.02520731063675488 .................
[CV]  c1=0.056423939630223484, c2=0.02520731063675488, score=0.790144 -   1.6s
[CV] c1=0.15152701030792404, c2=0.12398468462449115 ..................
[CV]  c1=0.15152701030792404, c2=0.12398468462449115, score=0.804026 -   1.5s
[CV] c1=2.903986766195795, c2=0.14073265016712758 ....................
[CV]  c1=2.903986766195795, c2=0.14073265016712758, score=0.541681 -   1.5s
[CV] c1=0.287172286762967, c2=0.07372141932025343 ....................
[CV]  c1=0.287172286762967, c2=0.07372141932025343, score=0.808200 -   1.5s
[CV] c1=0.8129308420706898, c2=0.0034398000719502372 .................
[CV]  c1=0.8129308420706898, c2=0.0034398000719502372, score=0.675423 -   1.6s
[CV] c1=0.4124841756484281, c2=0.041440514500226136 ..................
[CV]  c1=0.4124841756484281, c2=0.041440514500226136, score=0.822716 -   1.6s
[CV] c1=0.5756025325105375, c2=0.15095598256112344 ...................
[CV]  c1=0.5756025325105375, c2=0.15095598256112344, score=0.842965 -   1.5s
[CV] c1=0.38338608631652843, c2=0.027822655413081262 .................
[CV]  c1=0.38338608631652843, c2=0.027822655413081262, score=0.865731 -   1.5s
[CV] c1=0.713940846165791, c2=0.09586205073777561 ....................
[CV]  c1=0.713940846165791, c2=0.09586205073777561, score=0.639413 -   1.2s
[CV] c1=0.41604082304944556, c2=0.021965025210964797 .................
[CV]  c1=0.41604082304944556, c2=0.021965025210964797, score=0.799889 -   1.6s
[CV] c1=0.885196350138138, c2=0.03840149867361084 ....................
[CV]  c1=0.885196350138138, c2=0.03840149867361084, score=0.780549 -   1.5s
[CV] c1=0.8058926306368921, c2=0.056988887198474406 ..................
[CV]  c1=0.8058926306368921, c2=0.056988887198474406, score=0.644756 -   1.3s
[CV] c1=0.05422728395016724, c2=0.07380234337089829 ..................
[CV]  c1=0.05422728395016724, c2=0.07380234337089829, score=0.778945 -   1.6s
[CV] c1=0.8758757292500615, c2=0.08029718223992988 ...................
[CV]  c1=0.8758757292500615, c2=0.08029718223992988, score=0.641313 -   1.6s
[CV] c1=0.9537130761893851, c2=0.06969685522397395 ...................
[CV]  c1=0.9537130761893851, c2=0.06969685522397395, score=0.844153 -   1.4s
[CV] c1=0.2921870278811029, c2=0.05642844177477966 ...................
[CV]  c1=0.2921870278811029, c2=0.05642844177477966, score=0.867614 -   1.7s
[CV] c1=0.47399989011559385, c2=0.009453320884155101 .................
[CV]  c1=0.47399989011559385, c2=0.009453320884155101, score=0.720947 -   1.3s
[CV] c1=1.6806339983392504, c2=0.01188763172786089 ...................
[CV]  c1=1.6806339983392504, c2=0.01188763172786089, score=0.554860 -   1.3s
[CV] c1=1.473801359505112, c2=0.025685518314835627 ...................
[CV]  c1=1.473801359505112, c2=0.025685518314835627, score=0.554860 -   1.5s
[CV] c1=0.2568625165776027, c2=0.11084627845198175 ...................
[CV]  c1=0.2568625165776027, c2=0.11084627845198175, score=0.685539 -   1.3s
[CV] c1=0.16672690886292027, c2=0.0543813537829294 ...................
[CV]  c1=0.16672690886292027, c2=0.0543813537829294, score=0.697807 -   1.1s
[CV] c1=0.42280629009947474, c2=0.07612062512435638 ..................
[CV]  c1=0.42280629009947474, c2=0.07612062512435638, score=0.873827 -   1.5s
[CV] c1=0.14460630240189126, c2=0.0521736961548441 ...................
[CV]  c1=0.14460630240189126, c2=0.0521736961548441, score=0.884572 -   1.6s
[CV] c1=1.6929157712041003, c2=0.05222159385138813 ...................
[CV]  c1=1.6929157712041003, c2=0.05222159385138813, score=0.716501 -   1.4s
[CV] c1=0.37010377139640904, c2=0.038787957622486616 .................
[CV]  c1=0.37010377139640904, c2=0.038787957622486616, score=0.699577 -   1.1s
[CV] c1=0.5138797433202519, c2=0.2253453288676045 ....................
[CV]  c1=0.5138797433202519, c2=0.2253453288676045, score=0.789472 -   1.5s
[CV] c1=0.4285460963436179, c2=0.015974681628424837 ..................
[CV]  c1=0.4285460963436179, c2=0.015974681628424837, score=0.798829 -   1.6s
[CV] c1=0.7369719741542966, c2=0.002848460077984143 ..................
[CV]  c1=0.7369719741542966, c2=0.002848460077984143, score=0.802052 -   1.4s
[CV] c1=0.25814430296020247, c2=0.004792686030134921 .................
[CV]  c1=0.25814430296020247, c2=0.004792686030134921, score=0.701894 -   1.3s
[CV] c1=0.8202843848274336, c2=0.14668052485697722 ...................
[CV]  c1=0.8202843848274336, c2=0.14668052485697722, score=0.850808 -   1.5s
[CV] c1=0.13591497349948053, c2=0.015370126153879957 .................
[CV]  c1=0.13591497349948053, c2=0.015370126153879957, score=0.883729 -   1.4s
[CV] c1=0.6774233676967737, c2=0.01996188962664533 ...................
[CV]  c1=0.6774233676967737, c2=0.01996188962664533, score=0.794855 -   1.5s
[CV] c1=0.2681014278724104, c2=0.02824399876697426 ...................
[CV]  c1=0.2681014278724104, c2=0.02824399876697426, score=0.799962 -   1.6s
[CV] c1=0.7183471594493764, c2=0.06190336591380472 ...................
[CV]  c1=0.7183471594493764, c2=0.06190336591380472, score=0.798797 -   1.5s
[CV] c1=0.18356824062568097, c2=0.13234549133254084 ..................
[CV]  c1=0.18356824062568097, c2=0.13234549133254084, score=0.787283 -   1.5s
[CV] c1=0.885196350138138, c2=0.03840149867361084 ....................
[CV]  c1=0.885196350138138, c2=0.03840149867361084, score=0.674887 -   1.6s
[CV] c1=0.01236671095508829, c2=0.031308289278128225 .................
[CV]  c1=0.01236671095508829, c2=0.031308289278128225, score=0.880228 -   1.5s
[CV] c1=0.5186599221104069, c2=0.1720205572483906 ....................
[CV]  c1=0.5186599221104069, c2=0.1720205572483906, score=0.834460 -   1.5s
[CV] c1=0.2820429619869953, c2=0.05842104099533571 ...................
[CV]  c1=0.2820429619869953, c2=0.05842104099533571, score=0.869725 -   1.5s
[CV] c1=0.7369719741542966, c2=0.002848460077984143 ..................
[CV]  c1=0.7369719741542966, c2=0.002848460077984143, score=0.715280 -   1.2s
[CV] c1=0.6055938433272359, c2=0.15779271604338616 ...................
[CV]  c1=0.6055938433272359, c2=0.15779271604338616, score=0.772889 -   1.5s
[CV] c1=0.5644634292209963, c2=0.14705512716465463 ...................
[CV]  c1=0.5644634292209963, c2=0.14705512716465463, score=0.772889 -   1.4s
[CV] c1=0.28499667784545524, c2=0.07937372821848077 ..................
[CV]  c1=0.28499667784545524, c2=0.07937372821848077, score=0.869725 -   1.5s
[CV] c1=0.5756025325105375, c2=0.15095598256112344 ...................
[CV]  c1=0.5756025325105375, c2=0.15095598256112344, score=0.659294 -   1.2s
[CV] c1=0.2681014278724104, c2=0.02824399876697426 ...................
[CV]  c1=0.2681014278724104, c2=0.02824399876697426, score=0.805250 -   1.6s
[CV] c1=0.7183471594493764, c2=0.06190336591380472 ...................
[CV]  c1=0.7183471594493764, c2=0.06190336591380472, score=0.809066 -   1.5s
[CV] c1=0.18356824062568097, c2=0.13234549133254084 ..................
[CV]  c1=0.18356824062568097, c2=0.13234549133254084, score=0.689544 -   1.2s
[CV] c1=0.563606374926745, c2=0.007071153747444824 ...................
[CV]  c1=0.563606374926745, c2=0.007071153747444824, score=0.861239 -   1.6s
[CV] c1=0.028762721414033823, c2=0.17454942038075205 .................
[CV]  c1=0.028762721414033823, c2=0.17454942038075205, score=0.813324 -   1.5s
[CV] c1=0.14741252546368624, c2=0.0113439578468306 ...................
[CV]  c1=0.14741252546368624, c2=0.0113439578468306, score=0.806749 -   1.6s
[CV] c1=0.4285460963436179, c2=0.015974681628424837 ..................
[CV]  c1=0.4285460963436179, c2=0.015974681628424837, score=0.812398 -   1.5s
[CV] c1=0.9537130761893851, c2=0.06969685522397395 ...................
[CV]  c1=0.9537130761893851, c2=0.06969685522397395, score=0.635931 -   1.3s
[CV] c1=0.6055938433272359, c2=0.15779271604338616 ...................
[CV]  c1=0.6055938433272359, c2=0.15779271604338616, score=0.695016 -   1.6s
[CV] c1=0.5644634292209963, c2=0.14705512716465463 ...................
[CV]  c1=0.5644634292209963, c2=0.14705512716465463, score=0.794017 -   1.5s
[CV] c1=1.5216349291170277, c2=0.02919311838493049 ...................
[CV]  c1=1.5216349291170277, c2=0.02919311838493049, score=0.688723 -   1.2s
[CV] c1=0.08743658976751602, c2=0.05247191710430043 ..................
[CV]  c1=0.08743658976751602, c2=0.05247191710430043, score=0.884124 -   1.5s
[CV] c1=0.6896475575702035, c2=0.01719319048828942 ...................
[CV]  c1=0.6896475575702035, c2=0.01719319048828942, score=0.682192 -   1.2s
[CV] c1=0.15219007813321114, c2=0.09688991151743129 ..................
[CV]  c1=0.15219007813321114, c2=0.09688991151743129, score=0.876032 -   1.5s
[CV] c1=0.31022344057323326, c2=0.0500842488645489 ...................
[CV]  c1=0.31022344057323326, c2=0.0500842488645489, score=0.865171 -   1.5s
[CV] c1=0.258955822385283, c2=0.13815314717101032 ....................
[CV]  c1=0.258955822385283, c2=0.13815314717101032, score=0.791085 -   1.6s
[CV] c1=0.9387192964017146, c2=0.0037364456438913497 .................
[CV]  c1=0.9387192964017146, c2=0.0037364456438913497, score=0.690860 -   1.6s
[CV] c1=0.056423939630223484, c2=0.02520731063675488 .................
[CV]  c1=0.056423939630223484, c2=0.02520731063675488, score=0.703519 -   1.2s
[CV] c1=0.12283651191092018, c2=0.02106129288718142 ..................
[CV]  c1=0.12283651191092018, c2=0.02106129288718142, score=0.869641 -   1.5s
[CV] c1=0.11458043832833432, c2=0.01370797012860997 ..................
[CV]  c1=0.11458043832833432, c2=0.01370797012860997, score=0.826467 -   1.6s
[CV] c1=0.08029750753637778, c2=0.004474855876795374 .................
[CV]  c1=0.08029750753637778, c2=0.004474855876795374, score=0.711508 -   1.2s
[CV] c1=0.22586164387876648, c2=0.1482844380399891 ...................
[CV]  c1=0.22586164387876648, c2=0.1482844380399891, score=0.688878 -   1.2s
[CV] c1=0.8202843848274336, c2=0.14668052485697722 ...................
[CV]  c1=0.8202843848274336, c2=0.14668052485697722, score=0.655057 -   1.5s
[CV] c1=0.14215208171786164, c2=0.03134535229288128 ..................
[CV]  c1=0.14215208171786164, c2=0.03134535229288128, score=0.817919 -   1.2s
[CV] c1=0.20632026909340012, c2=0.07285245251808146 ..................
[CV]  c1=0.20632026909340012, c2=0.07285245251808146, score=0.793103 -   1.5s
[CV] c1=0.6896475575702035, c2=0.01719319048828942 ...................
[CV]  c1=0.6896475575702035, c2=0.01719319048828942, score=0.719428 -   1.6s
[CV] c1=0.0856047156376655, c2=0.03528535329060277 ...................
[CV]  c1=0.0856047156376655, c2=0.03528535329060277, score=0.881523 -   1.6s
[CV] c1=1.0589597359201788, c2=0.07150298051855385 ...................
[CV]  c1=1.0589597359201788, c2=0.07150298051855385, score=0.650476 -   1.6s
[CV] c1=0.42028578027251295, c2=0.0030019242243159235 ................
[CV]  c1=0.42028578027251295, c2=0.0030019242243159235, score=0.799420 -   1.6s
[CV] c1=0.028762721414033823, c2=0.17454942038075205 .................
[CV]  c1=0.028762721414033823, c2=0.17454942038075205, score=0.809034 -   1.6s
[CV] c1=0.5138797433202519, c2=0.2253453288676045 ....................
[CV]  c1=0.5138797433202519, c2=0.2253453288676045, score=0.783935 -   1.7s
[CV] c1=0.055140948422507406, c2=0.12550806963034283 .................
[CV]  c1=0.055140948422507406, c2=0.12550806963034283, score=0.719344 -   1.2s
[CV] c1=0.9537130761893851, c2=0.06969685522397395 ...................
[CV]  c1=0.9537130761893851, c2=0.06969685522397395, score=0.777169 -   1.5s
[CV] c1=0.25814430296020247, c2=0.004792686030134921 .................
[CV]  c1=0.25814430296020247, c2=0.004792686030134921, score=0.877348 -   1.5s
[CV] c1=0.47399989011559385, c2=0.009453320884155101 .................
[CV]  c1=0.47399989011559385, c2=0.009453320884155101, score=0.870255 -   1.5s
[CV] c1=0.14215208171786164, c2=0.03134535229288128 ..................
[CV]  c1=0.14215208171786164, c2=0.03134535229288128, score=0.691036 -   1.2s
[CV] c1=0.20632026909340012, c2=0.07285245251808146 ..................
[CV]  c1=0.20632026909340012, c2=0.07285245251808146, score=0.689205 -   1.2s
[CV] c1=0.3245331769329797, c2=0.00577105733450321 ...................
[CV]  c1=0.3245331769329797, c2=0.00577105733450321, score=0.795574 -   1.6s
[CV] c1=0.16672690886292027, c2=0.0543813537829294 ...................
[CV]  c1=0.16672690886292027, c2=0.0543813537829294, score=0.779916 -   1.6s
[CV] c1=0.31022344057323326, c2=0.0500842488645489 ...................
[CV]  c1=0.31022344057323326, c2=0.0500842488645489, score=0.775945 -   1.4s
[CV] c1=0.258955822385283, c2=0.13815314717101032 ....................
[CV]  c1=0.258955822385283, c2=0.13815314717101032, score=0.688878 -   1.2s
[CV] c1=1.598480688782499, c2=0.056528673465844614 ...................
[CV]  c1=1.598480688782499, c2=0.056528673465844614, score=0.549317 -   1.2s
[CV] c1=0.01236671095508829, c2=0.031308289278128225 .................
[CV]  c1=0.01236671095508829, c2=0.031308289278128225, score=0.832657 -   1.5s
[CV] c1=0.5186599221104069, c2=0.1720205572483906 ....................
[CV]  c1=0.5186599221104069, c2=0.1720205572483906, score=0.778660 -   1.4s
[CV] c1=0.2820429619869953, c2=0.05842104099533571 ...................
[CV]  c1=0.2820429619869953, c2=0.05842104099533571, score=0.791137 -   1.6s
[CV] c1=0.23666552356098447, c2=0.054449860013810684 .................
[CV]  c1=0.23666552356098447, c2=0.054449860013810684, score=0.689205 -   1.2s
[CV] c1=0.2921870278811029, c2=0.05642844177477966 ...................
[CV]  c1=0.2921870278811029, c2=0.05642844177477966, score=0.826531 -   1.5s
[CV] c1=0.8202843848274336, c2=0.14668052485697722 ...................
[CV]  c1=0.8202843848274336, c2=0.14668052485697722, score=0.756616 -   1.5s
[CV] c1=0.28499667784545524, c2=0.07937372821848077 ..................
[CV]  c1=0.28499667784545524, c2=0.07937372821848077, score=0.789616 -   1.6s
[CV] c1=0.35868429962500403, c2=0.006192603410161613 .................
[CV]  c1=0.35868429962500403, c2=0.006192603410161613, score=0.881172 -   1.6s
[CV] c1=0.3837515071360174, c2=0.07727270855969667 ...................
[CV]  c1=0.3837515071360174, c2=0.07727270855969667, score=0.780917 -   1.5s
[CV] c1=0.42280629009947474, c2=0.07612062512435638 ..................
[CV]  c1=0.42280629009947474, c2=0.07612062512435638, score=0.825439 -   1.6s
[CV] c1=0.7651218316038122, c2=0.04175391952080033 ...................
[CV]  c1=0.7651218316038122, c2=0.04175391952080033, score=0.688848 -   1.3s
[CV] c1=0.34836452241726185, c2=0.053783822376658214 .................
[CV]  c1=0.34836452241726185, c2=0.053783822376658214, score=0.810504 -   1.7s
[CV] c1=0.12121105505578947, c2=0.015875927821598055 .................
[CV]  c1=0.12121105505578947, c2=0.015875927821598055, score=0.873873 -   1.5s
[CV] c1=0.4607417788487625, c2=0.05245901813269428 ...................
[CV]  c1=0.4607417788487625, c2=0.05245901813269428, score=0.815151 -   1.6s
[CV] c1=0.11458043832833432, c2=0.01370797012860997 ..................
[CV]  c1=0.11458043832833432, c2=0.01370797012860997, score=0.817865 -   1.5s
[CV] c1=0.9826649783965967, c2=0.011130234260704384 ..................
[CV]  c1=0.9826649783965967, c2=0.011130234260704384, score=0.780506 -   1.5s
[CV] c1=0.1522011480787068, c2=0.1408243897695283 ....................
[CV]  c1=0.1522011480787068, c2=0.1408243897695283, score=0.758150 -   1.4s
[CV] c1=0.06050418864705958, c2=0.06261971809248305 ..................
[CV]  c1=0.06050418864705958, c2=0.06261971809248305, score=0.712278 -   1.1s
[CV] c1=0.3649931570092844, c2=0.15098183095306128 ...................
[CV]  c1=0.3649931570092844, c2=0.15098183095306128, score=0.861547 -   1.5s
[CV] c1=0.5756025325105375, c2=0.15095598256112344 ...................
[CV]  c1=0.5756025325105375, c2=0.15095598256112344, score=0.794017 -   1.6s
[CV] c1=0.3837515071360174, c2=0.07727270855969667 ...................
[CV]  c1=0.3837515071360174, c2=0.07727270855969667, score=0.668661 -   1.2s
[CV] c1=0.7183471594493764, c2=0.06190336591380472 ...................
[CV]  c1=0.7183471594493764, c2=0.06190336591380472, score=0.781519 -   1.6s
[CV] c1=0.06891173458224052, c2=0.04337605961806967 ..................
[CV]  c1=0.06891173458224052, c2=0.04337605961806967, score=0.807391 -   1.5s
[CV] c1=0.34836452241726185, c2=0.053783822376658214 .................
[CV]  c1=0.34836452241726185, c2=0.053783822376658214, score=0.819732 -   1.6s
[CV] c1=0.37010377139640904, c2=0.038787957622486616 .................
[CV]  c1=0.37010377139640904, c2=0.038787957622486616, score=0.881734 -   1.5s
[CV] c1=0.4607417788487625, c2=0.05245901813269428 ...................
[CV]  c1=0.4607417788487625, c2=0.05245901813269428, score=0.685902 -   1.2s
[CV] c1=0.4285460963436179, c2=0.015974681628424837 ..................
[CV]  c1=0.4285460963436179, c2=0.015974681628424837, score=0.787339 -   1.5s
[CV] c1=0.9537130761893851, c2=0.06969685522397395 ...................
[CV]  c1=0.9537130761893851, c2=0.06969685522397395, score=0.654388 -   1.5s
[CV] c1=0.2921870278811029, c2=0.05642844177477966 ...................
[CV]  c1=0.2921870278811029, c2=0.05642844177477966, score=0.790517 -   1.6s
[CV] c1=0.8202843848274336, c2=0.14668052485697722 ...................
[CV]  c1=0.8202843848274336, c2=0.14668052485697722, score=0.685989 -   1.5s
[CV] c1=0.4124841756484281, c2=0.041440514500226136 ..................
[CV]  c1=0.4124841756484281, c2=0.041440514500226136, score=0.696965 -   1.2s
[CV] c1=0.08743658976751602, c2=0.05247191710430043 ..................
[CV]  c1=0.08743658976751602, c2=0.05247191710430043, score=0.812131 -   1.5s
[CV] c1=0.6896475575702035, c2=0.01719319048828942 ...................
[CV]  c1=0.6896475575702035, c2=0.01719319048828942, score=0.787663 -   1.6s
[CV] c1=0.0856047156376655, c2=0.03528535329060277 ...................
[CV]  c1=0.0856047156376655, c2=0.03528535329060277, score=0.831741 -   1.6s
[CV] c1=0.41604082304944556, c2=0.021965025210964797 .................
[CV]  c1=0.41604082304944556, c2=0.021965025210964797, score=0.716614 -   1.3s
[CV] c1=0.42028578027251295, c2=0.0030019242243159235 ................
[CV]  c1=0.42028578027251295, c2=0.0030019242243159235, score=0.868771 -   1.6s
[CV] c1=0.08239932157639981, c2=0.07318823624686652 ..................
[CV]  c1=0.08239932157639981, c2=0.07318823624686652, score=0.809711 -   1.6s
[CV] c1=0.14741252546368624, c2=0.0113439578468306 ...................
[CV]  c1=0.14741252546368624, c2=0.0113439578468306, score=0.893239 -   1.6s
[CV] c1=0.8758757292500615, c2=0.08029718223992988 ...................
[CV]  c1=0.8758757292500615, c2=0.08029718223992988, score=0.670866 -   1.7s
[CV] c1=0.9537130761893851, c2=0.06969685522397395 ...................
[CV]  c1=0.9537130761893851, c2=0.06969685522397395, score=0.643204 -   1.6s
[CV] c1=0.25814430296020247, c2=0.004792686030134921 .................
[CV]  c1=0.25814430296020247, c2=0.004792686030134921, score=0.815321 -   1.5s
[CV] c1=0.47399989011559385, c2=0.009453320884155101 .................
[CV]  c1=0.47399989011559385, c2=0.009453320884155101, score=0.807189 -   1.5s
[CV] c1=0.28499667784545524, c2=0.07937372821848077 ..................
[CV]  c1=0.28499667784545524, c2=0.07937372821848077, score=0.818620 -   1.7s
[CV] c1=0.3245331769329797, c2=0.00577105733450321 ...................
[CV]  c1=0.3245331769329797, c2=0.00577105733450321, score=0.881959 -   1.6s
[CV] c1=0.16672690886292027, c2=0.0543813537829294 ...................
[CV]  c1=0.16672690886292027, c2=0.0543813537829294, score=0.882754 -   1.5s
[CV] c1=0.2531307967603095, c2=0.0060011221627798775 .................
[CV]  c1=0.2531307967603095, c2=0.0060011221627798775, score=0.809158 -   1.5s
[CV] c1=0.7651218316038122, c2=0.04175391952080033 ...................
[CV]  c1=0.7651218316038122, c2=0.04175391952080033, score=0.796807 -   1.4s
[CV] c1=1.598480688782499, c2=0.056528673465844614 ...................
[CV]  c1=1.598480688782499, c2=0.056528673465844614, score=0.631240 -   1.4s
[CV] c1=0.37010377139640904, c2=0.038787957622486616 .................
[CV]  c1=0.37010377139640904, c2=0.038787957622486616, score=0.805492 -   1.5s
[CV] c1=0.07502018666627175, c2=0.01510760633099241 ..................
[CV]  c1=0.07502018666627175, c2=0.01510760633099241, score=0.688218 -   1.2s
[CV] c1=0.2820429619869953, c2=0.05842104099533571 ...................
[CV]  c1=0.2820429619869953, c2=0.05842104099533571, score=0.804186 -   1.5s
[CV] c1=0.7369719741542966, c2=0.002848460077984143 ..................
[CV]  c1=0.7369719741542966, c2=0.002848460077984143, score=0.692750 -   1.6s
[CV] c1=0.22586164387876648, c2=0.1482844380399891 ...................
[CV]  c1=0.22586164387876648, c2=0.1482844380399891, score=0.875248 -   1.5s
[CV] c1=1.3441805314856148, c2=0.011604106121003058 ..................
[CV]  c1=1.3441805314856148, c2=0.011604106121003058, score=0.609574 -   1.1s
[CV] c1=0.28499667784545524, c2=0.07937372821848077 ..................
[CV]  c1=0.28499667784545524, c2=0.07937372821848077, score=0.807511 -   1.5s
[CV] c1=0.5756025325105375, c2=0.15095598256112344 ...................
[CV]  c1=0.5756025325105375, c2=0.15095598256112344, score=0.711648 -   1.5s
[CV] c1=0.38338608631652843, c2=0.027822655413081262 .................
[CV]  c1=0.38338608631652843, c2=0.027822655413081262, score=0.781814 -   1.6s
[CV] c1=0.42280629009947474, c2=0.07612062512435638 ..................
[CV]  c1=0.42280629009947474, c2=0.07612062512435638, score=0.757274 -   1.6s
[CV] c1=0.7651218316038122, c2=0.04175391952080033 ...................
[CV]  c1=0.7651218316038122, c2=0.04175391952080033, score=0.855775 -   1.5s
[CV] c1=1.598480688782499, c2=0.056528673465844614 ...................
[CV]  c1=1.598480688782499, c2=0.056528673465844614, score=0.801171 -   1.7s
[CV] c1=0.12121105505578947, c2=0.015875927821598055 .................
[CV]  c1=0.12121105505578947, c2=0.015875927821598055, score=0.812821 -   1.6s
[CV] c1=0.12283651191092018, c2=0.02106129288718142 ..................
[CV]  c1=0.12283651191092018, c2=0.02106129288718142, score=0.684672 -   1.2s
[CV] c1=0.055140948422507406, c2=0.12550806963034283 .................
[CV]  c1=0.055140948422507406, c2=0.12550806963034283, score=0.814184 -   1.5s
[CV] c1=0.23666552356098447, c2=0.054449860013810684 .................
[CV]  c1=0.23666552356098447, c2=0.054449860013810684, score=0.791137 -   1.6s
[CV] c1=0.1522011480787068, c2=0.1408243897695283 ....................
[CV]  c1=0.1522011480787068, c2=0.1408243897695283, score=0.862965 -   1.5s
[CV] c1=1.3441805314856148, c2=0.011604106121003058 ..................
[CV]  c1=1.3441805314856148, c2=0.011604106121003058, score=0.739883 -   1.3s
[CV] c1=1.5216349291170277, c2=0.02919311838493049 ...................
[CV]  c1=1.5216349291170277, c2=0.02919311838493049, score=0.558281 -   1.4s
[CV] c1=0.6774233676967737, c2=0.01996188962664533 ...................
[CV]  c1=0.6774233676967737, c2=0.01996188962664533, score=0.703807 -   1.2s
[CV] c1=0.6896475575702035, c2=0.01719319048828942 ...................
[CV]  c1=0.6896475575702035, c2=0.01719319048828942, score=0.773505 -   1.5s
[CV] c1=0.3941382832332017, c2=0.03833752697388326 ...................
[CV]  c1=0.3941382832332017, c2=0.03833752697388326, score=0.776799 -   1.7s
[CV] c1=1.0589597359201788, c2=0.07150298051855385 ...................
[CV]  c1=1.0589597359201788, c2=0.07150298051855385, score=0.777169 -   1.5s
[CV] c1=0.42028578027251295, c2=0.0030019242243159235 ................
[CV]  c1=0.42028578027251295, c2=0.0030019242243159235, score=0.800209 -   1.5s
[CV] c1=0.08239932157639981, c2=0.07318823624686652 ..................
[CV]  c1=0.08239932157639981, c2=0.07318823624686652, score=0.782573 -   1.6s
[CV] c1=0.14741252546368624, c2=0.0113439578468306 ...................
[CV]  c1=0.14741252546368624, c2=0.0113439578468306, score=0.821444 -   1.5s
[CV] c1=0.4285460963436179, c2=0.015974681628424837 ..................
[CV]  c1=0.4285460963436179, c2=0.015974681628424837, score=0.867099 -   1.6s
[CV] c1=0.3540172604558067, c2=0.0648917621152238 ....................
[CV]  c1=0.3540172604558067, c2=0.0648917621152238, score=0.813243 -   1.6s
[CV] c1=0.2921870278811029, c2=0.05642844177477966 ...................
[CV]  c1=0.2921870278811029, c2=0.05642844177477966, score=0.786553 -   1.6s
[CV] c1=0.47399989011559385, c2=0.009453320884155101 .................
[CV]  c1=0.47399989011559385, c2=0.009453320884155101, score=0.820376 -   1.5s
[CV] c1=0.14215208171786164, c2=0.03134535229288128 ..................
[CV]  c1=0.14215208171786164, c2=0.03134535229288128, score=0.823735 -   1.5s
[CV] c1=0.6542945272207081, c2=0.02183167601623874 ...................
[CV]  c1=0.6542945272207081, c2=0.02183167601623874, score=0.800412 -   1.5s
[CV] c1=0.4773034968799546, c2=0.015469955762877694 ..................
[CV]  c1=0.4773034968799546, c2=0.015469955762877694, score=0.762459 -   1.6s
[CV] c1=0.0856047156376655, c2=0.03528535329060277 ...................
[CV]  c1=0.0856047156376655, c2=0.03528535329060277, score=0.782573 -   1.6s
[CV] c1=0.41604082304944556, c2=0.021965025210964797 .................
[CV]  c1=0.41604082304944556, c2=0.021965025210964797, score=0.773509 -   1.6s
[CV] c1=0.885196350138138, c2=0.03840149867361084 ....................
[CV]  c1=0.885196350138138, c2=0.03840149867361084, score=0.846887 -   1.5s
[CV] c1=0.8058926306368921, c2=0.056988887198474406 ..................
[CV]  c1=0.8058926306368921, c2=0.056988887198474406, score=0.851569 -   1.5s
[CV] c1=0.5138797433202519, c2=0.2253453288676045 ....................
[CV]  c1=0.5138797433202519, c2=0.2253453288676045, score=0.704054 -   1.6s
[CV] c1=0.2820429619869953, c2=0.05842104099533571 ...................
[CV]  c1=0.2820429619869953, c2=0.05842104099533571, score=0.681808 -   1.4s
[CV] c1=0.7369719741542966, c2=0.002848460077984143 ..................
[CV]  c1=0.7369719741542966, c2=0.002848460077984143, score=0.841689 -   1.5s
[CV] c1=0.25814430296020247, c2=0.004792686030134921 .................
[CV]  c1=0.25814430296020247, c2=0.004792686030134921, score=0.815028 -   1.6s
[CV] c1=1.3441805314856148, c2=0.011604106121003058 ..................
[CV]  c1=1.3441805314856148, c2=0.011604106121003058, score=0.801307 -   1.4s
[CV] c1=0.18424037136150165, c2=0.0017421449700899287 ................
[CV]  c1=0.18424037136150165, c2=0.0017421449700899287, score=0.712531 -   1.0s
[CV] c1=1.473801359505112, c2=0.025685518314835627 ...................
[CV]  c1=1.473801359505112, c2=0.025685518314835627, score=0.621442 -   1.6s
[CV] c1=0.3245331769329797, c2=0.00577105733450321 ...................
[CV]  c1=0.3245331769329797, c2=0.00577105733450321, score=0.812398 -   1.5s
[CV] c1=0.16672690886292027, c2=0.0543813537829294 ...................
[CV]  c1=0.16672690886292027, c2=0.0543813537829294, score=0.809446 -   1.5s
[CV] c1=0.2531307967603095, c2=0.0060011221627798775 .................
[CV]  c1=0.2531307967603095, c2=0.0060011221627798775, score=0.826074 -   1.7s
[CV] c1=0.258955822385283, c2=0.13815314717101032 ....................
[CV]  c1=0.258955822385283, c2=0.13815314717101032, score=0.811525 -   1.4s
[CV] c1=0.9387192964017146, c2=0.0037364456438913497 .................
[CV]  c1=0.9387192964017146, c2=0.0037364456438913497, score=0.690755 -   1.1s
[CV] c1=0.37010377139640904, c2=0.038787957622486616 .................
[CV]  c1=0.37010377139640904, c2=0.038787957622486616, score=0.826531 -   1.5s
[CV] c1=0.4607417788487625, c2=0.05245901813269428 ...................
[CV]  c1=0.4607417788487625, c2=0.05245901813269428, score=0.783353 -   1.5s
[CV] c1=0.055140948422507406, c2=0.12550806963034283 .................
[CV]  c1=0.055140948422507406, c2=0.12550806963034283, score=0.816145 -   1.5s
[CV] c1=0.23666552356098447, c2=0.054449860013810684 .................
[CV]  c1=0.23666552356098447, c2=0.054449860013810684, score=0.811525 -   1.5s
[CV] c1=0.22586164387876648, c2=0.1482844380399891 ...................
[CV]  c1=0.22586164387876648, c2=0.1482844380399891, score=0.802078 -   1.5s
[CV] c1=1.3441805314856148, c2=0.011604106121003058 ..................
[CV]  c1=1.3441805314856148, c2=0.011604106121003058, score=0.570093 -   1.4s
[CV] c1=0.3649931570092844, c2=0.15098183095306128 ...................
[CV]  c1=0.3649931570092844, c2=0.15098183095306128, score=0.778531 -   1.5s
[CV] c1=0.35868429962500403, c2=0.006192603410161613 .................
[CV]  c1=0.35868429962500403, c2=0.006192603410161613, score=0.779628 -   1.6s
[CV] c1=0.3837515071360174, c2=0.07727270855969667 ...................
[CV]  c1=0.3837515071360174, c2=0.07727270855969667, score=0.788562 -   1.3s
[CV] c1=0.713940846165791, c2=0.09586205073777561 ....................
[CV]  c1=0.713940846165791, c2=0.09586205073777561, score=0.781519 -   1.6s
[CV] c1=0.14460630240189126, c2=0.0521736961548441 ...................
[CV]  c1=0.14460630240189126, c2=0.0521736961548441, score=0.807541 -   1.5s
[CV] c1=1.6929157712041003, c2=0.05222159385138813 ...................
[CV]  c1=1.6929157712041003, c2=0.05222159385138813, score=0.554860 -   1.6s
[CV] c1=0.12121105505578947, c2=0.015875927821598055 .................
[CV]  c1=0.12121105505578947, c2=0.015875927821598055, score=0.824044 -   1.4s
[CV] c1=0.07502018666627175, c2=0.01510760633099241 ..................
[CV]  c1=0.07502018666627175, c2=0.01510760633099241, score=0.879513 -   1.5s
[CV] c1=0.11458043832833432, c2=0.01370797012860997 ..................
[CV]  c1=0.11458043832833432, c2=0.01370797012860997, score=0.868272 -   1.5s
[CV] c1=0.9826649783965967, c2=0.011130234260704384 ..................
[CV]  c1=0.9826649783965967, c2=0.011130234260704384, score=0.835351 -   1.5s
[CV] c1=0.1522011480787068, c2=0.1408243897695283 ....................
[CV]  c1=0.1522011480787068, c2=0.1408243897695283, score=0.689544 -   1.2s
[CV] c1=0.47399989011559385, c2=0.009453320884155101 .................
[CV]  c1=0.47399989011559385, c2=0.009453320884155101, score=0.755380 -   1.5s
[CV] c1=0.3649931570092844, c2=0.15098183095306128 ...................
[CV]  c1=0.3649931570092844, c2=0.15098183095306128, score=0.668661 -   1.2s
[CV] c1=0.3602729136565183, c2=0.057450915307566866 ..................
[CV]  c1=0.3602729136565183, c2=0.057450915307566866, score=0.813878 -   1.7s
[CV] c1=0.38338608631652843, c2=0.027822655413081262 .................
[CV]  c1=0.38338608631652843, c2=0.027822655413081262, score=0.799889 -   1.6s
[CV] c1=0.42280629009947474, c2=0.07612062512435638 ..................
[CV]  c1=0.42280629009947474, c2=0.07612062512435638, score=0.783344 -   1.4s
[CV] c1=0.14460630240189126, c2=0.0521736961548441 ...................
[CV]  c1=0.14460630240189126, c2=0.0521736961548441, score=0.822513 -   1.4s
[CV] c1=1.6929157712041003, c2=0.05222159385138813 ...................
[CV]  c1=1.6929157712041003, c2=0.05222159385138813, score=0.612183 -   1.7s
[CV] c1=0.12121105505578947, c2=0.015875927821598055 .................
[CV]  c1=0.12121105505578947, c2=0.015875927821598055, score=0.691422 -   1.2s
[CV] c1=0.5186599221104069, c2=0.1720205572483906 ....................
[CV]  c1=0.5186599221104069, c2=0.1720205572483906, score=0.794017 -   1.6s
[CV] c1=0.055140948422507406, c2=0.12550806963034283 .................
[CV]  c1=0.055140948422507406, c2=0.12550806963034283, score=0.790547 -   1.6s
[CV] c1=0.9826649783965967, c2=0.011130234260704384 ..................
[CV]  c1=0.9826649783965967, c2=0.011130234260704384, score=0.658375 -   1.2s
[CV] c1=0.25814430296020247, c2=0.004792686030134921 .................
[CV]  c1=0.25814430296020247, c2=0.004792686030134921, score=0.814329 -   1.6s
[CV] c1=1.3441805314856148, c2=0.011604106121003058 ..................
[CV]  c1=1.3441805314856148, c2=0.011604106121003058, score=0.618147 -   1.5s
[CV] c1=0.13591497349948053, c2=0.015370126153879957 .................
[CV]  c1=0.13591497349948053, c2=0.015370126153879957, score=0.803082 -   1.5s
[CV] c1=0.3602729136565183, c2=0.057450915307566866 ..................
[CV]  c1=0.3602729136565183, c2=0.057450915307566866, score=0.776341 -   1.6s
[CV] c1=0.38338608631652843, c2=0.027822655413081262 .................
[CV]  c1=0.38338608631652843, c2=0.027822655413081262, score=0.699577 -   1.1s
[CV] c1=0.25482346544378437, c2=0.19254938768889218 ..................
[CV]  c1=0.25482346544378437, c2=0.19254938768889218, score=0.812261 -   1.6s
[CV] c1=0.18356824062568097, c2=0.13234549133254084 ..................
[CV]  c1=0.18356824062568097, c2=0.13234549133254084, score=0.784587 -   1.6s
[CV] c1=0.34836452241726185, c2=0.053783822376658214 .................
[CV]  c1=0.34836452241726185, c2=0.053783822376658214, score=0.776851 -   1.6s
[CV] c1=0.01236671095508829, c2=0.031308289278128225 .................
[CV]  c1=0.01236671095508829, c2=0.031308289278128225, score=0.812216 -   1.6s
[CV] c1=0.4607417788487625, c2=0.05245901813269428 ...................
[CV]  c1=0.4607417788487625, c2=0.05245901813269428, score=0.752090 -   1.6s
[CV] c1=0.11458043832833432, c2=0.01370797012860997 ..................
[CV]  c1=0.11458043832833432, c2=0.01370797012860997, score=0.690087 -   1.2s
[CV] c1=0.7369719741542966, c2=0.002848460077984143 ..................
[CV]  c1=0.7369719741542966, c2=0.002848460077984143, score=0.707303 -   1.6s
[CV] c1=0.22586164387876648, c2=0.1482844380399891 ...................
[CV]  c1=0.22586164387876648, c2=0.1482844380399891, score=0.792756 -   1.6s
[CV] c1=0.06050418864705958, c2=0.06261971809248305 ..................
[CV]  c1=0.06050418864705958, c2=0.06261971809248305, score=0.881523 -   1.4s
[CV] c1=1.5216349291170277, c2=0.02919311838493049 ...................
[CV]  c1=1.5216349291170277, c2=0.02919311838493049, score=0.802303 -   1.5s
[CV] c1=0.6542945272207081, c2=0.02183167601623874 ...................
[CV]  c1=0.6542945272207081, c2=0.02183167601623874, score=0.732238 -   1.4s
[CV] c1=0.4773034968799546, c2=0.015469955762877694 ..................
[CV]  c1=0.4773034968799546, c2=0.015469955762877694, score=0.864366 -   1.6s
[CV] c1=0.25482346544378437, c2=0.19254938768889218 ..................
[CV]  c1=0.25482346544378437, c2=0.19254938768889218, score=0.871330 -   1.6s
[CV] c1=0.41604082304944556, c2=0.021965025210964797 .................
[CV]  c1=0.41604082304944556, c2=0.021965025210964797, score=0.784136 -   1.4s
[CV] c1=0.563606374926745, c2=0.007071153747444824 ...................
[CV]  c1=0.563606374926745, c2=0.007071153747444824, score=0.764694 -   1.7s
[CV] c1=0.8058926306368921, c2=0.056988887198474406 ..................
[CV]  c1=0.8058926306368921, c2=0.056988887198474406, score=0.684190 -   1.6s
[CV] c1=0.5186599221104069, c2=0.1720205572483906 ....................
[CV]  c1=0.5186599221104069, c2=0.1720205572483906, score=0.728112 -   1.5s
[CV] c1=0.2820429619869953, c2=0.05842104099533571 ...................
[CV]  c1=0.2820429619869953, c2=0.05842104099533571, score=0.790660 -   1.7s
[CV] c1=0.23666552356098447, c2=0.054449860013810684 .................
[CV]  c1=0.23666552356098447, c2=0.054449860013810684, score=0.812821 -   1.6s
[CV] c1=0.1522011480787068, c2=0.1408243897695283 ....................
[CV]  c1=0.1522011480787068, c2=0.1408243897695283, score=0.787903 -   1.6s
[CV] c1=0.06050418864705958, c2=0.06261971809248305 ..................
[CV]  c1=0.06050418864705958, c2=0.06261971809248305, score=0.790547 -   1.3s
[CV] c1=0.13591497349948053, c2=0.015370126153879957 .................
[CV]  c1=0.13591497349948053, c2=0.015370126153879957, score=0.809947 -   1.5s
[CV] c1=0.3602729136565183, c2=0.057450915307566866 ..................
[CV]  c1=0.3602729136565183, c2=0.057450915307566866, score=0.699577 -   1.2s
[CV] c1=0.4773034968799546, c2=0.015469955762877694 ..................
[CV]  c1=0.4773034968799546, c2=0.015469955762877694, score=0.816824 -   1.5s
[CV] c1=0.0856047156376655, c2=0.03528535329060277 ...................
[CV]  c1=0.0856047156376655, c2=0.03528535329060277, score=0.698315 -   1.2s
[CV] c1=0.31022344057323326, c2=0.0500842488645489 ...................
[CV]  c1=0.31022344057323326, c2=0.0500842488645489, score=0.806352 -   1.6s
[CV] c1=1.3281370462526119, c2=0.03954256817080354 ...................
[CV]  c1=1.3281370462526119, c2=0.03954256817080354, score=0.594708 -   1.2s
[CV] c1=0.9387192964017146, c2=0.0037364456438913497 .................
[CV]  c1=0.9387192964017146, c2=0.0037364456438913497, score=0.825523 -   1.6s
[CV] c1=0.7118296108030993, c2=0.03207988572242224 ...................
[CV]  c1=0.7118296108030993, c2=0.03207988572242224, score=0.794855 -   1.5s
[CV] c1=0.12283651191092018, c2=0.02106129288718142 ..................
[CV]  c1=0.12283651191092018, c2=0.02106129288718142, score=0.822513 -   1.5s
[CV] c1=0.1656872449280038, c2=0.1347386017982027 ....................
[CV]  c1=0.1656872449280038, c2=0.1347386017982027, score=0.795141 -   1.6s
[CV] c1=0.08029750753637778, c2=0.004474855876795374 .................
[CV]  c1=0.08029750753637778, c2=0.004474855876795374, score=0.804720 -   1.6s
[CV] c1=0.5134819829477036, c2=0.030687334942670532 ..................
[CV]  c1=0.5134819829477036, c2=0.030687334942670532, score=0.811121 -   1.4s
[CV] c1=0.3782537417848111, c2=0.19771397659162418 ...................
[CV]  c1=0.3782537417848111, c2=0.19771397659162418, score=0.668661 -   0.9s
[CV] c1=0.14215208171786164, c2=0.03134535229288128 ..................
[CV]  c1=0.14215208171786164, c2=0.03134535229288128, score=0.819641 -   1.5s
[CV] c1=0.6542945272207081, c2=0.02183167601623874 ...................
[CV]  c1=0.6542945272207081, c2=0.02183167601623874, score=0.781519 -   1.6s
[CV] c1=0.2681014278724104, c2=0.02824399876697426 ...................
[CV]  c1=0.2681014278724104, c2=0.02824399876697426, score=0.827544 -   1.4s
[CV] c1=0.25482346544378437, c2=0.19254938768889218 ..................
[CV]  c1=0.25482346544378437, c2=0.19254938768889218, score=0.797558 -   1.4s
[CV] c1=1.0589597359201788, c2=0.07150298051855385 ...................
[CV]  c1=1.0589597359201788, c2=0.07150298051855385, score=0.643204 -   1.6s
[CV] c1=0.563606374926745, c2=0.007071153747444824 ...................
[CV]  c1=0.563606374926745, c2=0.007071153747444824, score=0.810954 -   1.4s
[CV] c1=0.028762721414033823, c2=0.17454942038075205 .................
[CV]  c1=0.028762721414033823, c2=0.17454942038075205, score=0.730014 -   1.3s
[CV] c1=0.05422728395016724, c2=0.07380234337089829 ..................
[CV]  c1=0.05422728395016724, c2=0.07380234337089829, score=0.881523 -   1.5s
[CV] c1=0.15152701030792404, c2=0.12398468462449115 ..................
[CV]  c1=0.15152701030792404, c2=0.12398468462449115, score=0.701936 -   1.2s
[CV] c1=1.0016504391309329, c2=0.13104701846705755 ...................
[CV]  c1=1.0016504391309329, c2=0.13104701846705755, score=0.845910 -   1.5s
[CV] c1=1.2193722221566443, c2=0.03118702861344294 ...................
[CV]  c1=1.2193722221566443, c2=0.03118702861344294, score=0.805918 -   1.5s
[CV] c1=0.5134819829477036, c2=0.030687334942670532 ..................
[CV]  c1=0.5134819829477036, c2=0.030687334942670532, score=0.707695 -   1.3s
[CV] c1=0.263209562975899, c2=0.1238212084368448 .....................
[CV]  c1=0.263209562975899, c2=0.1238212084368448, score=0.868920 -   1.2s
[CV] c1=1.5216349291170277, c2=0.02919311838493049 ...................
[CV]  c1=1.5216349291170277, c2=0.02919311838493049, score=0.600467 -   1.7s
[CV] c1=0.3602729136565183, c2=0.057450915307566866 ..................
[CV]  c1=0.3602729136565183, c2=0.057450915307566866, score=0.860014 -   1.5s
[CV] c1=0.060818484883880045, c2=0.00017684390762451324 ..............
[CV]  c1=0.060818484883880045, c2=0.00017684390762451324, score=0.824968 -   1.6s
[CV] c1=0.713940846165791, c2=0.09586205073777561 ....................
[CV]  c1=0.713940846165791, c2=0.09586205073777561, score=0.874257 -   1.4s
[CV] c1=0.18356824062568097, c2=0.13234549133254084 ..................
[CV]  c1=0.18356824062568097, c2=0.13234549133254084, score=0.801724 -   1.5s
[CV] c1=0.34836452241726185, c2=0.053783822376658214 .................
[CV]  c1=0.34836452241726185, c2=0.053783822376658214, score=0.864625 -   1.6s
[CV] c1=0.01236671095508829, c2=0.031308289278128225 .................
[CV]  c1=0.01236671095508829, c2=0.031308289278128225, score=0.834752 -   1.6s
[CV] c1=0.4607417788487625, c2=0.05245901813269428 ...................
[CV]  c1=0.4607417788487625, c2=0.05245901813269428, score=0.873827 -   1.5s
[CV] c1=0.055140948422507406, c2=0.12550806963034283 .................
[CV]  c1=0.055140948422507406, c2=0.12550806963034283, score=0.878120 -   1.5s
[CV] c1=0.23666552356098447, c2=0.054449860013810684 .................
[CV]  c1=0.23666552356098447, c2=0.054449860013810684, score=0.889599 -   1.6s
[CV] c1=0.22586164387876648, c2=0.1482844380399891 ...................
[CV]  c1=0.22586164387876648, c2=0.1482844380399891, score=0.809346 -   1.7s
[CV] c1=0.06050418864705958, c2=0.06261971809248305 ..................
[CV]  c1=0.06050418864705958, c2=0.06261971809248305, score=0.816145 -   1.3s
[CV] c1=1.6806339983392504, c2=0.01188763172786089 ...................
[CV]  c1=1.6806339983392504, c2=0.01188763172786089, score=0.549317 -   1.0s
[CV] c1=1.473801359505112, c2=0.025685518314835627 ...................
[CV]  c1=1.473801359505112, c2=0.025685518314835627, score=0.807230 -   1.5s
[CV] c1=0.3245331769329797, c2=0.00577105733450321 ...................
[CV]  c1=0.3245331769329797, c2=0.00577105733450321, score=0.724402 -   1.3s
[CV] c1=0.3837515071360174, c2=0.07727270855969667 ...................
[CV]  c1=0.3837515071360174, c2=0.07727270855969667, score=0.864625 -   1.5s
[CV] c1=0.42280629009947474, c2=0.07612062512435638 ..................
[CV]  c1=0.42280629009947474, c2=0.07612062512435638, score=0.662646 -   1.3s
[CV] c1=0.06891173458224052, c2=0.04337605961806967 ..................
[CV]  c1=0.06891173458224052, c2=0.04337605961806967, score=0.816726 -   1.6s
[CV] c1=1.6929157712041003, c2=0.05222159385138813 ...................
[CV]  c1=1.6929157712041003, c2=0.05222159385138813, score=0.798609 -   1.5s
[CV] c1=0.37010377139640904, c2=0.038787957622486616 .................
[CV]  c1=0.37010377139640904, c2=0.038787957622486616, score=0.784101 -   1.6s
[CV] c1=0.07502018666627175, c2=0.01510760633099241 ..................
[CV]  c1=0.07502018666627175, c2=0.01510760633099241, score=0.800760 -   1.5s
[CV] c1=0.11458043832833432, c2=0.01370797012860997 ..................
[CV]  c1=0.11458043832833432, c2=0.01370797012860997, score=0.805505 -   1.5s
[CV] c1=0.9826649783965967, c2=0.011130234260704384 ..................
[CV]  c1=0.9826649783965967, c2=0.011130234260704384, score=0.709652 -   1.6s
[CV] c1=0.18586438804593614, c2=0.019389581453201722 .................
[CV]  c1=0.18586438804593614, c2=0.019389581453201722, score=0.705737 -   1.3s
[CV] c1=0.06050418864705958, c2=0.06261971809248305 ..................
[CV]  c1=0.06050418864705958, c2=0.06261971809248305, score=0.807391 -   1.4s
[CV] c1=0.18424037136150165, c2=0.0017421449700899287 ................
[CV]  c1=0.18424037136150165, c2=0.0017421449700899287, score=0.797994 -   1.4s
[CV] c1=0.08743658976751602, c2=0.05247191710430043 ..................
[CV]  c1=0.08743658976751602, c2=0.05247191710430043, score=0.776501 -   1.6s
[CV] c1=0.4773034968799546, c2=0.015469955762877694 ..................
[CV]  c1=0.4773034968799546, c2=0.015469955762877694, score=0.799675 -   1.5s
[CV] c1=0.25482346544378437, c2=0.19254938768889218 ..................
[CV]  c1=0.25482346544378437, c2=0.19254938768889218, score=0.766965 -   1.6s
[CV] c1=0.18356824062568097, c2=0.13234549133254084 ..................
[CV]  c1=0.18356824062568097, c2=0.13234549133254084, score=0.857693 -   1.5s
[CV] c1=0.885196350138138, c2=0.03840149867361084 ....................
[CV]  c1=0.885196350138138, c2=0.03840149867361084, score=0.671243 -   1.2s
[CV] c1=0.08239932157639981, c2=0.07318823624686652 ..................
[CV]  c1=0.08239932157639981, c2=0.07318823624686652, score=0.816726 -   1.5s
[CV] c1=0.05422728395016724, c2=0.07380234337089829 ..................
[CV]  c1=0.05422728395016724, c2=0.07380234337089829, score=0.816145 -   1.5s
[CV] c1=0.15152701030792404, c2=0.12398468462449115 ..................
[CV]  c1=0.15152701030792404, c2=0.12398468462449115, score=0.790547 -   1.6s
[CV] c1=0.3540172604558067, c2=0.0648917621152238 ....................
[CV]  c1=0.3540172604558067, c2=0.0648917621152238, score=0.681088 -   1.2s
[CV] c1=0.287172286762967, c2=0.07372141932025343 ....................
[CV]  c1=0.287172286762967, c2=0.07372141932025343, score=0.864625 -   1.5s
[CV] c1=0.8129308420706898, c2=0.0034398000719502372 .................
[CV]  c1=0.8129308420706898, c2=0.0034398000719502372, score=0.855532 -   1.5s
[CV] c1=0.4031898563554973, c2=0.031529395742586 .....................
[CV]  c1=0.4031898563554973, c2=0.031529395742586, score=0.720947 -   0.9s
[CV] c1=1.6806339983392504, c2=0.01188763172786089 ...................
[CV]  c1=1.6806339983392504, c2=0.01188763172786089, score=0.801812 -   1.5s
[CV] c1=0.20632026909340012, c2=0.07285245251808146 ..................
[CV]  c1=0.20632026909340012, c2=0.07285245251808146, score=0.813940 -   1.5s
[CV] c1=0.6896475575702035, c2=0.01719319048828942 ...................
[CV]  c1=0.6896475575702035, c2=0.01719319048828942, score=0.852178 -   1.6s
[CV] c1=0.3941382832332017, c2=0.03833752697388326 ...................
[CV]  c1=0.3941382832332017, c2=0.03833752697388326, score=0.698300 -   1.2s
[CV] c1=0.31022344057323326, c2=0.0500842488645489 ...................
[CV]  c1=0.31022344057323326, c2=0.0500842488645489, score=0.686140 -   1.3s
[CV] c1=0.7651218316038122, c2=0.04175391952080033 ...................
[CV]  c1=0.7651218316038122, c2=0.04175391952080033, score=0.698274 -   1.8s
[CV] c1=0.9387192964017146, c2=0.0037364456438913497 .................
[CV]  c1=0.9387192964017146, c2=0.0037364456438913497, score=0.780506 -   1.5s
[CV] c1=0.7118296108030993, c2=0.03207988572242224 ...................
[CV]  c1=0.7118296108030993, c2=0.03207988572242224, score=0.694469 -   1.2s
[CV] c1=0.07502018666627175, c2=0.01510760633099241 ..................
[CV]  c1=0.07502018666627175, c2=0.01510760633099241, score=0.826562 -   1.6s
[CV] c1=0.1656872449280038, c2=0.1347386017982027 ....................
[CV]  c1=0.1656872449280038, c2=0.1347386017982027, score=0.864493 -   1.4s
[CV] c1=0.08029750753637778, c2=0.004474855876795374 .................
[CV]  c1=0.08029750753637778, c2=0.004474855876795374, score=0.866620 -   1.6s
[CV] c1=0.18586438804593614, c2=0.019389581453201722 .................
[CV]  c1=0.18586438804593614, c2=0.019389581453201722, score=0.833283 -   1.5s
[CV] c1=0.263209562975899, c2=0.1238212084368448 .....................
[CV]  c1=0.263209562975899, c2=0.1238212084368448, score=0.790465 -   1.2s
[CV] c1=0.4124841756484281, c2=0.041440514500226136 ..................
[CV]  c1=0.4124841756484281, c2=0.041440514500226136, score=0.770367 -   1.7s
[CV] c1=0.3602729136565183, c2=0.057450915307566866 ..................
[CV]  c1=0.3602729136565183, c2=0.057450915307566866, score=0.798753 -   1.5s
[CV] c1=0.060818484883880045, c2=0.00017684390762451324 ..............
[CV]  c1=0.060818484883880045, c2=0.00017684390762451324, score=0.796291 -   1.4s
[CV] c1=0.7183471594493764, c2=0.06190336591380472 ...................
[CV]  c1=0.7183471594493764, c2=0.06190336591380472, score=0.671243 -   1.2s
[CV] c1=1.0589597359201788, c2=0.07150298051855385 ...................
[CV]  c1=1.0589597359201788, c2=0.07150298051855385, score=0.615857 -   1.2s
[CV] c1=0.258955822385283, c2=0.13815314717101032 ....................
[CV]  c1=0.258955822385283, c2=0.13815314717101032, score=0.779408 -   1.6s
[CV] c1=0.9408583960271837, c2=0.016727280054374943 ..................
[CV]  c1=0.9408583960271837, c2=0.016727280054374943, score=0.674887 -   1.5s
[CV] c1=0.056423939630223484, c2=0.02520731063675488 .................
[CV]  c1=0.056423939630223484, c2=0.02520731063675488, score=0.801940 -   1.5s
[CV] c1=0.4212696441397375, c2=0.03369714551057075 ...................
[CV]  c1=0.4212696441397375, c2=0.03369714551057075, score=0.770765 -   1.5s
[CV] c1=1.0016504391309329, c2=0.13104701846705755 ...................
[CV]  c1=1.0016504391309329, c2=0.13104701846705755, score=0.770088 -   1.5s
[CV] c1=1.2193722221566443, c2=0.03118702861344294 ...................
[CV]  c1=1.2193722221566443, c2=0.03118702861344294, score=0.578045 -   1.6s
[CV] c1=0.8129308420706898, c2=0.0034398000719502372 .................
[CV]  c1=0.8129308420706898, c2=0.0034398000719502372, score=0.688848 -   1.2s
[CV] c1=0.263209562975899, c2=0.1238212084368448 .....................
[CV]  c1=0.263209562975899, c2=0.1238212084368448, score=0.802078 -   1.2s
[CV] c1=0.18424037136150165, c2=0.0017421449700899287 ................
[CV]  c1=0.18424037136150165, c2=0.0017421449700899287, score=0.892353 -   1.3s
[CV] c1=0.20632026909340012, c2=0.07285245251808146 ..................
[CV]  c1=0.20632026909340012, c2=0.07285245251808146, score=0.877300 -   1.5s
[CV] c1=0.2568625165776027, c2=0.11084627845198175 ...................
[CV]  c1=0.2568625165776027, c2=0.11084627845198175, score=0.820794 -   1.7s
[CV] c1=0.3941382832332017, c2=0.03833752697388326 ...................
[CV]  c1=0.3941382832332017, c2=0.03833752697388326, score=0.806034 -   1.7s
[CV] c1=0.41604082304944556, c2=0.021965025210964797 .................
[CV]  c1=0.41604082304944556, c2=0.021965025210964797, score=0.878233 -   1.5s
[CV] c1=0.42028578027251295, c2=0.0030019242243159235 ................
[CV]  c1=0.42028578027251295, c2=0.0030019242243159235, score=0.812398 -   1.5s
[CV] c1=0.028762721414033823, c2=0.17454942038075205 .................
[CV]  c1=0.028762721414033823, c2=0.17454942038075205, score=0.882191 -   1.6s
[CV] c1=0.14741252546368624, c2=0.0113439578468306 ...................
[CV]  c1=0.14741252546368624, c2=0.0113439578468306, score=0.774154 -   1.5s
[CV] c1=0.8758757292500615, c2=0.08029718223992988 ...................
[CV]  c1=0.8758757292500615, c2=0.08029718223992988, score=0.638919 -   1.3s
[CV] c1=2.903986766195795, c2=0.14073265016712758 ....................
[CV]  c1=2.903986766195795, c2=0.14073265016712758, score=0.425551 -   1.2s
[CV] c1=1.2193722221566443, c2=0.03118702861344294 ...................
[CV]  c1=1.2193722221566443, c2=0.03118702861344294, score=0.643097 -   1.2s
[CV] c1=0.1522011480787068, c2=0.1408243897695283 ....................
[CV]  c1=0.1522011480787068, c2=0.1408243897695283, score=0.784475 -   1.7s
[CV] c1=0.263209562975899, c2=0.1238212084368448 .....................
[CV]  c1=0.263209562975899, c2=0.1238212084368448, score=0.685539 -   1.2s
[CV] c1=0.28499667784545524, c2=0.07937372821848077 ..................
[CV]  c1=0.28499667784545524, c2=0.07937372821848077, score=0.684873 -   1.3s
[CV] c1=0.6774233676967737, c2=0.01996188962664533 ...................
[CV]  c1=0.6774233676967737, c2=0.01996188962664533, score=0.781519 -   1.5s
[CV] c1=0.060818484883880045, c2=0.00017684390762451324 ..............
[CV]  c1=0.060818484883880045, c2=0.00017684390762451324, score=0.681523 -   1.2s
[CV] c1=0.0856047156376655, c2=0.03528535329060277 ...................
[CV]  c1=0.0856047156376655, c2=0.03528535329060277, score=0.812131 -   1.4s
[CV] c1=1.0589597359201788, c2=0.07150298051855385 ...................
[CV]  c1=1.0589597359201788, c2=0.07150298051855385, score=0.840809 -   1.5s
[CV] c1=1.3281370462526119, c2=0.03954256817080354 ...................
[CV]  c1=1.3281370462526119, c2=0.03954256817080354, score=0.561833 -   1.6s
[CV] c1=0.08239932157639981, c2=0.07318823624686652 ..................
[CV]  c1=0.08239932157639981, c2=0.07318823624686652, score=0.722142 -   1.3s
[CV] c1=0.056423939630223484, c2=0.02520731063675488 .................
[CV]  c1=0.056423939630223484, c2=0.02520731063675488, score=0.831741 -   1.5s
[CV] c1=0.4212696441397375, c2=0.03369714551057075 ...................
[CV]  c1=0.4212696441397375, c2=0.03369714551057075, score=0.816339 -   1.6s
[CV] c1=2.903986766195795, c2=0.14073265016712758 ....................
[CV]  c1=2.903986766195795, c2=0.14073265016712758, score=0.649097 -   1.5s
[CV] c1=0.287172286762967, c2=0.07372141932025343 ....................
[CV]  c1=0.287172286762967, c2=0.07372141932025343, score=0.681808 -   1.2s
[CV] c1=0.5134819829477036, c2=0.030687334942670532 ..................
[CV]  c1=0.5134819829477036, c2=0.030687334942670532, score=0.877130 -   1.5s
[CV] c1=0.3782537417848111, c2=0.19771397659162418 ...................
[CV]  c1=0.3782537417848111, c2=0.19771397659162418, score=0.732704 -   1.1s
[CV] c1=1.5216349291170277, c2=0.02919311838493049 ...................
[CV]  c1=1.5216349291170277, c2=0.02919311838493049, score=0.583933 -   1.0s
[CV] c1=1.473801359505112, c2=0.025685518314835627 ...................
[CV]  c1=1.473801359505112, c2=0.025685518314835627, score=0.688723 -   1.5s
[CV] c1=0.3245331769329797, c2=0.00577105733450321 ...................
[CV]  c1=0.3245331769329797, c2=0.00577105733450321, score=0.833034 -   1.7s
[CV] c1=0.15219007813321114, c2=0.09688991151743129 ..................
[CV]  c1=0.15219007813321114, c2=0.09688991151743129, score=0.789689 -   1.7s
[CV] c1=0.41007335906401543, c2=1.7812117434355214e-05 ...............
[CV]  c1=0.41007335906401543, c2=1.7812117434355214e-05, score=0.818591 -   1.5s
[CV] c1=1.3281370462526119, c2=0.03954256817080354 ...................
[CV]  c1=1.3281370462526119, c2=0.03954256817080354, score=0.732590 -   1.6s
[CV] c1=0.9408583960271837, c2=0.016727280054374943 ..................
[CV]  c1=0.9408583960271837, c2=0.016727280054374943, score=0.690860 -   1.6s
[CV] c1=0.05422728395016724, c2=0.07380234337089829 ..................
[CV]  c1=0.05422728395016724, c2=0.07380234337089829, score=0.834061 -   1.6s
[CV] c1=0.8758757292500615, c2=0.08029718223992988 ...................
[CV]  c1=0.8758757292500615, c2=0.08029718223992988, score=0.846025 -   1.5s
[CV] c1=2.903986766195795, c2=0.14073265016712758 ....................
[CV]  c1=2.903986766195795, c2=0.14073265016712758, score=0.494924 -   1.8s
[CV] c1=0.2921870278811029, c2=0.05642844177477966 ...................
[CV]  c1=0.2921870278811029, c2=0.05642844177477966, score=0.703909 -   1.2s
[CV] c1=0.5644634292209963, c2=0.14705512716465463 ...................
[CV]  c1=0.5644634292209963, c2=0.14705512716465463, score=0.655337 -   1.2s
[CV] c1=0.3782537417848111, c2=0.19771397659162418 ...................
[CV]  c1=0.3782537417848111, c2=0.19771397659162418, score=0.778531 -   1.1s
[CV] c1=1.6806339983392504, c2=0.01188763172786089 ...................
[CV]  c1=1.6806339983392504, c2=0.01188763172786089, score=0.608888 -   1.6s
[CV] c1=0.6542945272207081, c2=0.02183167601623874 ...................
[CV]  c1=0.6542945272207081, c2=0.02183167601623874, score=0.851169 -   1.6s
[CV] c1=0.2681014278724104, c2=0.02824399876697426 ...................
[CV]  c1=0.2681014278724104, c2=0.02824399876697426, score=0.877300 -   1.5s
[CV] c1=0.25482346544378437, c2=0.19254938768889218 ..................
[CV]  c1=0.25482346544378437, c2=0.19254938768889218, score=0.688878 -   1.3s
[CV] c1=0.41007335906401543, c2=1.7812117434355214e-05 ...............
[CV]  c1=0.41007335906401543, c2=1.7812117434355214e-05, score=0.810047 -   1.7s
[CV] c1=0.563606374926745, c2=0.007071153747444824 ...................
[CV]  c1=0.563606374926745, c2=0.007071153747444824, score=0.702632 -   1.3s
[CV] c1=0.9408583960271837, c2=0.016727280054374943 ..................
[CV]  c1=0.9408583960271837, c2=0.016727280054374943, score=0.780506 -   1.6s
[CV] c1=0.05422728395016724, c2=0.07380234337089829 ..................
[CV]  c1=0.05422728395016724, c2=0.07380234337089829, score=0.711465 -   1.3s
[CV] c1=0.4212696441397375, c2=0.03369714551057075 ...................
[CV]  c1=0.4212696441397375, c2=0.03369714551057075, score=0.694203 -   1.3s
[CV] c1=0.1656872449280038, c2=0.1347386017982027 ....................
[CV]  c1=0.1656872449280038, c2=0.1347386017982027, score=0.689544 -   1.3s
[CV] c1=0.9826649783965967, c2=0.011130234260704384 ..................
[CV]  c1=0.9826649783965967, c2=0.011130234260704384, score=0.656529 -   1.7s
[CV] c1=0.18586438804593614, c2=0.019389581453201722 .................
[CV]  c1=0.18586438804593614, c2=0.019389581453201722, score=0.872690 -   1.6s
[CV] c1=0.263209562975899, c2=0.1238212084368448 .....................
[CV]  c1=0.263209562975899, c2=0.1238212084368448, score=0.812974 -   1.3s
[CV] c1=0.3649931570092844, c2=0.15098183095306128 ...................
[CV]  c1=0.3649931570092844, c2=0.15098183095306128, score=0.812261 -   1.5s
[CV] c1=0.35868429962500403, c2=0.006192603410161613 .................
[CV]  c1=0.35868429962500403, c2=0.006192603410161613, score=0.822283 -   1.5s
[CV] c1=0.3837515071360174, c2=0.07727270855969667 ...................
[CV]  c1=0.3837515071360174, c2=0.07727270855969667, score=0.786339 -   1.6s
[CV] c1=0.2531307967603095, c2=0.0060011221627798775 .................
[CV]  c1=0.2531307967603095, c2=0.0060011221627798775, score=0.877300 -   1.5s
[CV] c1=0.14460630240189126, c2=0.0521736961548441 ...................
[CV]  c1=0.14460630240189126, c2=0.0521736961548441, score=0.785130 -   1.5s
[CV] c1=1.598480688782499, c2=0.056528673465844614 ...................
[CV]  c1=1.598480688782499, c2=0.056528673465844614, score=0.603762 -   1.5s
[CV] c1=0.12121105505578947, c2=0.015875927821598055 .................
[CV]  c1=0.12121105505578947, c2=0.015875927821598055, score=0.815574 -   1.6s
[CV] c1=0.07502018666627175, c2=0.01510760633099241 ..................
[CV]  c1=0.07502018666627175, c2=0.01510760633099241, score=0.778945 -   1.7s
[CV] c1=0.1656872449280038, c2=0.1347386017982027 ....................
[CV]  c1=0.1656872449280038, c2=0.1347386017982027, score=0.805738 -   1.4s
[CV] c1=0.08029750753637778, c2=0.004474855876795374 .................
[CV]  c1=0.08029750753637778, c2=0.004474855876795374, score=0.811736 -   1.5s
[CV] c1=0.18586438804593614, c2=0.019389581453201722 .................
[CV]  c1=0.18586438804593614, c2=0.019389581453201722, score=0.797713 -   1.6s
[CV] c1=0.3782537417848111, c2=0.19771397659162418 ...................
[CV]  c1=0.3782537417848111, c2=0.19771397659162418, score=0.831643 -   1.2s
[CV] c1=0.13591497349948053, c2=0.015370126153879957 .................
[CV]  c1=0.13591497349948053, c2=0.015370126153879957, score=0.684672 -   1.2s
[CV] c1=0.6542945272207081, c2=0.02183167601623874 ...................
[CV]  c1=0.6542945272207081, c2=0.02183167601623874, score=0.719612 -   1.2s
[CV] c1=0.2568625165776027, c2=0.11084627845198175 ...................
[CV]  c1=0.2568625165776027, c2=0.11084627845198175, score=0.785612 -   1.6s
[CV] c1=0.3941382832332017, c2=0.03833752697388326 ...................
[CV]  c1=0.3941382832332017, c2=0.03833752697388326, score=0.868723 -   1.5s
[CV] c1=0.41007335906401543, c2=1.7812117434355214e-05 ...............
[CV]  c1=0.41007335906401543, c2=1.7812117434355214e-05, score=0.722476 -   1.2s
[CV] c1=0.258955822385283, c2=0.13815314717101032 ....................
[CV]  c1=0.258955822385283, c2=0.13815314717101032, score=0.864832 -   1.6s
[CV] c1=0.9387192964017146, c2=0.0037364456438913497 .................
[CV]  c1=0.9387192964017146, c2=0.0037364456438913497, score=0.679163 -   1.6s
[CV] c1=0.056423939630223484, c2=0.02520731063675488 .................
[CV]  c1=0.056423939630223484, c2=0.02520731063675488, score=0.880721 -   1.5s
[CV] c1=0.12283651191092018, c2=0.02106129288718142 ..................
[CV]  c1=0.12283651191092018, c2=0.02106129288718142, score=0.802371 -   1.6s
[CV] c1=1.0016504391309329, c2=0.13104701846705755 ...................
[CV]  c1=1.0016504391309329, c2=0.13104701846705755, score=0.587896 -   1.3s
[CV] c1=0.08029750753637778, c2=0.004474855876795374 .................
[CV]  c1=0.08029750753637778, c2=0.004474855876795374, score=0.830860 -   1.5s
[CV] c1=0.18586438804593614, c2=0.019389581453201722 .................
[CV]  c1=0.18586438804593614, c2=0.019389581453201722, score=0.781108 -   1.7s
[CV] c1=0.4031898563554973, c2=0.031529395742586 .....................
[CV]  c1=0.4031898563554973, c2=0.031529395742586, score=0.868723 -   1.1s
[CV] c1=0.4124841756484281, c2=0.041440514500226136 ..................
[CV]  c1=0.4124841756484281, c2=0.041440514500226136, score=0.874484 -   1.4s
[CV] c1=0.6774233676967737, c2=0.01996188962664533 ...................
[CV]  c1=0.6774233676967737, c2=0.01996188962664533, score=0.850183 -   1.5s
[CV] c1=0.2681014278724104, c2=0.02824399876697426 ...................
[CV]  c1=0.2681014278724104, c2=0.02824399876697426, score=0.703909 -   1.2s
[CV] c1=0.3941382832332017, c2=0.03833752697388326 ...................
[CV]  c1=0.3941382832332017, c2=0.03833752697388326, score=0.788562 -   1.4s
[CV] c1=0.41007335906401543, c2=1.7812117434355214e-05 ...............
[CV]  c1=0.41007335906401543, c2=1.7812117434355214e-05, score=0.782324 -   1.6s
[CV] c1=0.42028578027251295, c2=0.0030019242243159235 ................
[CV]  c1=0.42028578027251295, c2=0.0030019242243159235, score=0.720947 -   1.2s
[CV] c1=0.9408583960271837, c2=0.016727280054374943 ..................
[CV]  c1=0.9408583960271837, c2=0.016727280054374943, score=0.853507 -   1.4s
[CV] c1=0.7118296108030993, c2=0.03207988572242224 ...................
[CV]  c1=0.7118296108030993, c2=0.03207988572242224, score=0.697147 -   1.6s
[CV] c1=0.4212696441397375, c2=0.03369714551057075 ...................
[CV]  c1=0.4212696441397375, c2=0.03369714551057075, score=0.803101 -   1.9s
[CV] c1=0.3540172604558067, c2=0.0648917621152238 ....................
[CV]  c1=0.3540172604558067, c2=0.0648917621152238, score=0.776341 -   1.6s
[CV] c1=0.6055938433272359, c2=0.15779271604338616 ...................
[CV]  c1=0.6055938433272359, c2=0.15779271604338616, score=0.802780 -   1.6s
[CV] c1=0.8202843848274336, c2=0.14668052485697722 ...................
[CV]  c1=0.8202843848274336, c2=0.14668052485697722, score=0.605743 -   1.1s
[CV] c1=0.4031898563554973, c2=0.031529395742586 .....................
[CV]  c1=0.4031898563554973, c2=0.031529395742586, score=0.812398 -   1.1s
[CV] c1=1.6806339983392504, c2=0.01188763172786089 ...................
[CV]  c1=1.6806339983392504, c2=0.01188763172786089, score=0.716501 -   1.1s
[CV] c1=1.473801359505112, c2=0.025685518314835627 ...................
[CV]  c1=1.473801359505112, c2=0.025685518314835627, score=0.586149 -   1.3s
[CV] c1=0.35868429962500403, c2=0.006192603410161613 .................
[CV]  c1=0.35868429962500403, c2=0.006192603410161613, score=0.805492 -   1.7s
[CV] c1=0.16672690886292027, c2=0.0543813537829294 ...................
[CV]  c1=0.16672690886292027, c2=0.0543813537829294, score=0.807541 -   1.5s
[CV] c1=0.2531307967603095, c2=0.0060011221627798775 .................
[CV]  c1=0.2531307967603095, c2=0.0060011221627798775, score=0.845099 -   1.5s
[CV] c1=0.7651218316038122, c2=0.04175391952080033 ...................
[CV]  c1=0.7651218316038122, c2=0.04175391952080033, score=0.771938 -   1.6s
[CV] c1=1.598480688782499, c2=0.056528673465844614 ...................
[CV]  c1=1.598480688782499, c2=0.056528673465844614, score=0.554860 -   1.5s
[CV] c1=0.7118296108030993, c2=0.03207988572242224 ...................
[CV]  c1=0.7118296108030993, c2=0.03207988572242224, score=0.858693 -   1.6s
[CV] c1=0.12283651191092018, c2=0.02106129288718142 ..................
[CV]  c1=0.12283651191092018, c2=0.02106129288718142, score=0.823735 -   1.6s
[CV] c1=0.1656872449280038, c2=0.1347386017982027 ....................
[CV]  c1=0.1656872449280038, c2=0.1347386017982027, score=0.787890 -   1.6s
[CV] c1=1.2193722221566443, c2=0.03118702861344294 ...................
[CV]  c1=1.2193722221566443, c2=0.03118702861344294, score=0.650476 -   1.5s
[CV] c1=0.5134819829477036, c2=0.030687334942670532 ..................
[CV]  c1=0.5134819829477036, c2=0.030687334942670532, score=0.738748 -   1.6s
[CV] c1=0.3782537417848111, c2=0.19771397659162418 ...................
[CV]  c1=0.3782537417848111, c2=0.19771397659162418, score=0.794017 -   1.2s
Training done in: 21.320971s
     Saving training model...
        Saving training model done in: 0.014393s
*********************************
Prediction done in: 0.035873s