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

Go to a project
Toggle navigation Toggle navigation pinning
Switch branch/tag
Run6_v13.txt 65.2 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 
-------------------------------- 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: Run6
Exclude stop words: False
Levels: S1: TrueS2: FalseS3: TrueS4: False
Run variant: 13
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003654s
-------------------------------- 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  lemma[:1]        :
11   -2:lemma  culture
12  -2:postag      VBN
13   +2:lemma  minimal
14  +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      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10  lemma[:1]           d
11  lemma[:2]          de
12   -2:lemma     affyexp
13  -2:postag          JJ
14   +2:lemma     glucose
15  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.24724082450382343, c2=0.0032541892196374087 ................
[CV]  c1=0.24724082450382343, c2=0.0032541892196374087, score=0.901717 -   1.4s
[CV] c1=0.9569879623839517, c2=0.07523230460221642 ...................
[CV]  c1=0.9569879623839517, c2=0.07523230460221642, score=0.665558 -   1.4s
[CV] c1=0.34771782193614725, c2=0.09131270055999265 ..................
[CV]  c1=0.34771782193614725, c2=0.09131270055999265, score=0.798138 -   1.4s
[CV] c1=0.4151214771890496, c2=0.04905087171538544 ...................
[CV]  c1=0.4151214771890496, c2=0.04905087171538544, score=0.893260 -   1.4s
[CV] c1=0.38682902881357734, c2=0.04288167700418651 ..................
[CV]  c1=0.38682902881357734, c2=0.04288167700418651, score=0.729649 -   1.1s
[CV] c1=0.022659025885917724, c2=0.05536397699405541 .................
[CV]  c1=0.022659025885917724, c2=0.05536397699405541, score=0.849381 -   1.3s
[CV] c1=0.7193140611110298, c2=0.04809732007398597 ...................
[CV]  c1=0.7193140611110298, c2=0.04809732007398597, score=0.699668 -   1.1s
[CV] c1=0.48272205020691644, c2=0.010078598493654257 .................
[CV]  c1=0.48272205020691644, c2=0.010078598493654257, score=0.853008 -   1.3s
[CV] c1=0.5327756984920766, c2=0.014562188549016385 ..................
[CV]  c1=0.5327756984920766, c2=0.014562188549016385, score=0.730813 -   1.1s
[CV] c1=0.7223447703583099, c2=0.058997635061345935 ..................
[CV]  c1=0.7223447703583099, c2=0.058997635061345935, score=0.822112 -   1.6s
[CV] c1=1.3485236744175935, c2=0.015638619850280283 ..................
[CV]  c1=1.3485236744175935, c2=0.015638619850280283, score=0.583137 -   1.5s
[CV] c1=1.0344409618920174, c2=0.03595924162279505 ...................
[CV]  c1=1.0344409618920174, c2=0.03595924162279505, score=0.665279 -   1.5s
[CV] c1=0.26186329711813966, c2=0.04297074423665015 ..................
[CV]  c1=0.26186329711813966, c2=0.04297074423665015, score=0.793435 -   1.1s
[CV] c1=0.03035384096331735, c2=0.18127212777661192 ..................
[CV]  c1=0.03035384096331735, c2=0.18127212777661192, score=0.807892 -   1.5s
[CV] c1=0.12119827497754622, c2=0.045279111962686344 .................
[CV]  c1=0.12119827497754622, c2=0.045279111962686344, score=0.895214 -   1.5s
[CV] c1=0.12590098421905943, c2=0.031097401969881585 .................
[CV]  c1=0.12590098421905943, c2=0.031097401969881585, score=0.802737 -   1.6s
[CV] c1=1.0350198894175204, c2=0.025786015907696604 ..................
[CV]  c1=1.0350198894175204, c2=0.025786015907696604, score=0.661249 -   1.2s
[CV] c1=0.4729948108700858, c2=0.009873388129061815 ..................
[CV]  c1=0.4729948108700858, c2=0.009873388129061815, score=0.737424 -   1.2s
[CV] c1=0.49454428763901725, c2=0.00039787062892069334 ...............
[CV]  c1=0.49454428763901725, c2=0.00039787062892069334, score=0.744442 -   1.2s
[CV] c1=0.431040225114706, c2=0.06204344291665024 ....................
[CV]  c1=0.431040225114706, c2=0.06204344291665024, score=0.900771 -   1.6s
[CV] c1=0.17205964448994673, c2=0.0032597231265530414 ................
[CV]  c1=0.17205964448994673, c2=0.0032597231265530414, score=0.815855 -   1.5s
[CV] c1=1.6992099647479735, c2=0.042794640209682086 ..................
[CV]  c1=1.6992099647479735, c2=0.042794640209682086, score=0.608850 -   1.5s
[CV] c1=0.30497194503283903, c2=0.060271291652734496 .................
[CV]  c1=0.30497194503283903, c2=0.060271291652734496, score=0.843061 -   1.4s
[CV] c1=0.35782933358029434, c2=0.030619923987485906 .................
[CV]  c1=0.35782933358029434, c2=0.030619923987485906, score=0.906088 -   1.4s
[CV] c1=0.018937829422370992, c2=0.009941125318682386 ................
[CV]  c1=0.018937829422370992, c2=0.009941125318682386, score=0.809613 -   1.1s
[CV] c1=0.7266325378627134, c2=0.014650518735286396 ..................
[CV]  c1=0.7266325378627134, c2=0.014650518735286396, score=0.700586 -   1.5s
[CV] c1=0.2933976345871316, c2=0.011041942882961335 ..................
[CV]  c1=0.2933976345871316, c2=0.011041942882961335, score=0.739694 -   1.1s
[CV] c1=0.12590098421905943, c2=0.031097401969881585 .................
[CV]  c1=0.12590098421905943, c2=0.031097401969881585, score=0.901717 -   1.4s
[CV] c1=1.3252184195067058, c2=0.08692163221435184 ...................
[CV]  c1=1.3252184195067058, c2=0.08692163221435184, score=0.845146 -   1.3s
[CV] c1=0.25829313117451536, c2=0.0068203367055467675 ................
[CV]  c1=0.25829313117451536, c2=0.0068203367055467675, score=0.848003 -   1.5s
[CV] c1=0.49454428763901725, c2=0.00039787062892069334 ...............
[CV]  c1=0.49454428763901725, c2=0.00039787062892069334, score=0.762824 -   1.5s
[CV] c1=0.6481991909051603, c2=0.0395376726712716 ....................
[CV]  c1=0.6481991909051603, c2=0.0395376726712716, score=0.813441 -   1.4s
[CV] c1=0.5327756984920766, c2=0.014562188549016385 ..................
[CV]  c1=0.5327756984920766, c2=0.014562188549016385, score=0.891149 -   1.4s
[CV] c1=0.007262650929554484, c2=0.013140234113938424 ................
[CV]  c1=0.007262650929554484, c2=0.013140234113938424, score=0.801087 -   1.4s
[CV] c1=0.30497194503283903, c2=0.060271291652734496 .................
[CV]  c1=0.30497194503283903, c2=0.060271291652734496, score=0.782385 -   1.4s
[CV] c1=1.0344409618920174, c2=0.03595924162279505 ...................
[CV]  c1=1.0344409618920174, c2=0.03595924162279505, score=0.718550 -   1.4s
[CV] c1=0.02223144329707993, c2=0.01544820908809836 ..................
[CV]  c1=0.02223144329707993, c2=0.01544820908809836, score=0.878358 -   1.3s
[CV] c1=0.28110929867303724, c2=0.029512298661972726 .................
[CV]  c1=0.28110929867303724, c2=0.029512298661972726, score=0.736584 -   1.2s
[CV] c1=0.10441955697389638, c2=0.02551826931874028 ..................
[CV]  c1=0.10441955697389638, c2=0.02551826931874028, score=0.901717 -   1.4s
[CV] c1=0.11719463099502622, c2=0.02971905171926392 ..................
[CV]  c1=0.11719463099502622, c2=0.02971905171926392, score=0.901717 -   1.4s
[CV] c1=0.8253230854049421, c2=0.0005212704277349651 .................
[CV]  c1=0.8253230854049421, c2=0.0005212704277349651, score=0.692935 -   1.2s
[CV] c1=0.045422957058802026, c2=0.05379553636355583 .................
[CV]  c1=0.045422957058802026, c2=0.05379553636355583, score=0.816317 -   1.5s
[CV] c1=2.0698722117760404, c2=0.006118397680235404 ..................
[CV]  c1=2.0698722117760404, c2=0.006118397680235404, score=0.785436 -   1.4s
[CV] c1=0.48272205020691644, c2=0.010078598493654257 .................
[CV]  c1=0.48272205020691644, c2=0.010078598493654257, score=0.900325 -   1.5s
[CV] c1=0.5327756984920766, c2=0.014562188549016385 ..................
[CV]  c1=0.5327756984920766, c2=0.014562188549016385, score=0.810792 -   1.4s
[CV] c1=0.007262650929554484, c2=0.013140234113938424 ................
[CV]  c1=0.007262650929554484, c2=0.013140234113938424, score=0.846183 -   1.5s
[CV] c1=0.19702561446724978, c2=0.09587355947648375 ..................
[CV]  c1=0.19702561446724978, c2=0.09587355947648375, score=0.798358 -   1.5s
[CV] c1=0.3609377860424175, c2=0.004815975462977955 ..................
[CV]  c1=0.3609377860424175, c2=0.004815975462977955, score=0.903852 -   1.4s
[CV] c1=0.02223144329707993, c2=0.01544820908809836 ..................
[CV]  c1=0.02223144329707993, c2=0.01544820908809836, score=0.843306 -   1.4s
[CV] c1=0.5987950675449116, c2=0.0035132107367418135 .................
[CV]  c1=0.5987950675449116, c2=0.0035132107367418135, score=0.737424 -   1.1s
[CV] c1=0.10441955697389638, c2=0.02551826931874028 ..................
[CV]  c1=0.10441955697389638, c2=0.02551826931874028, score=0.877007 -   1.5s
[CV] c1=0.030269909906492077, c2=0.044054962165971795 ................
[CV]  c1=0.030269909906492077, c2=0.044054962165971795, score=0.811288 -   1.4s
[CV] c1=1.0350198894175204, c2=0.025786015907696604 ..................
[CV]  c1=1.0350198894175204, c2=0.025786015907696604, score=0.713193 -   1.4s
[CV] c1=0.022659025885917724, c2=0.05536397699405541 .................
[CV]  c1=0.022659025885917724, c2=0.05536397699405541, score=0.789263 -   1.1s
[CV] c1=2.0698722117760404, c2=0.006118397680235404 ..................
[CV]  c1=2.0698722117760404, c2=0.006118397680235404, score=0.546932 -   1.5s
[CV] c1=0.037068588325997326, c2=0.051047147451732715 ................
[CV]  c1=0.037068588325997326, c2=0.051047147451732715, score=0.849381 -   1.3s
[CV] c1=1.528456850847705, c2=0.09811194985571142 ....................
[CV]  c1=1.528456850847705, c2=0.09811194985571142, score=0.771020 -   1.5s
[CV] c1=0.5325973693179032, c2=0.06696331958430089 ...................
[CV]  c1=0.5325973693179032, c2=0.06696331958430089, score=0.822575 -   1.4s
[CV] c1=1.847334688303957, c2=0.04110672877744175 ....................
[CV]  c1=1.847334688303957, c2=0.04110672877744175, score=0.803613 -   1.4s
[CV] c1=0.01897465516727078, c2=0.025101791681963227 .................
[CV]  c1=0.01897465516727078, c2=0.025101791681963227, score=0.792368 -   1.1s
[CV] c1=0.37044317757927264, c2=0.009083557644160665 .................
[CV]  c1=0.37044317757927264, c2=0.009083557644160665, score=0.787449 -   1.4s
[CV] c1=0.28110929867303724, c2=0.029512298661972726 .................
[CV]  c1=0.28110929867303724, c2=0.029512298661972726, score=0.910186 -   1.4s
[CV] c1=0.2933976345871316, c2=0.011041942882961335 ..................
[CV]  c1=0.2933976345871316, c2=0.011041942882961335, score=0.853929 -   1.4s
[CV] c1=0.030269909906492077, c2=0.044054962165971795 ................
[CV]  c1=0.030269909906492077, c2=0.044054962165971795, score=0.830334 -   1.4s
[CV] c1=0.21766299833546002, c2=0.13266147013642332 ..................
[CV]  c1=0.21766299833546002, c2=0.13266147013642332, score=0.886580 -   1.5s
[CV] c1=0.022659025885917724, c2=0.05536397699405541 .................
[CV]  c1=0.022659025885917724, c2=0.05536397699405541, score=0.811739 -   1.5s
[CV] c1=1.2194816733768896, c2=0.026270848912098216 ..................
[CV]  c1=1.2194816733768896, c2=0.026270848912098216, score=0.643983 -   1.2s
[CV] c1=0.16889374405050336, c2=0.027001034542754272 .................
[CV]  c1=0.16889374405050336, c2=0.027001034542754272, score=0.745849 -   1.2s
[CV] c1=1.528456850847705, c2=0.09811194985571142 ....................
[CV]  c1=1.528456850847705, c2=0.09811194985571142, score=0.625902 -   1.2s
[CV] c1=0.007262650929554484, c2=0.013140234113938424 ................
[CV]  c1=0.007262650929554484, c2=0.013140234113938424, score=0.869035 -   1.5s
[CV] c1=0.30497194503283903, c2=0.060271291652734496 .................
[CV]  c1=0.30497194503283903, c2=0.060271291652734496, score=0.811184 -   1.5s
[CV] c1=0.35782933358029434, c2=0.030619923987485906 .................
[CV]  c1=0.35782933358029434, c2=0.030619923987485906, score=0.834383 -   1.5s
[CV] c1=0.26186329711813966, c2=0.04297074423665015 ..................
[CV]  c1=0.26186329711813966, c2=0.04297074423665015, score=0.907625 -   1.1s
[CV] c1=0.03035384096331735, c2=0.18127212777661192 ..................
[CV]  c1=0.03035384096331735, c2=0.18127212777661192, score=0.827779 -   1.4s
[CV] c1=0.47696974362051786, c2=0.10174481953980193 ..................
[CV]  c1=0.47696974362051786, c2=0.10174481953980193, score=0.832413 -   1.4s
[CV] c1=0.4207445782811626, c2=0.07556872456525357 ...................
[CV]  c1=0.4207445782811626, c2=0.07556872456525357, score=0.792761 -   1.4s
[CV] c1=2.0810870418849237, c2=0.15184397520564574 ...................
[CV]  c1=2.0810870418849237, c2=0.15184397520564574, score=0.783113 -   1.6s
[CV] c1=0.045422957058802026, c2=0.05379553636355583 .................
[CV]  c1=0.045422957058802026, c2=0.05379553636355583, score=0.880253 -   1.5s
[CV] c1=0.49454428763901725, c2=0.00039787062892069334 ...............
[CV]  c1=0.49454428763901725, c2=0.00039787062892069334, score=0.851969 -   1.4s
[CV] c1=0.6481991909051603, c2=0.0395376726712716 ....................
[CV]  c1=0.6481991909051603, c2=0.0395376726712716, score=0.715593 -   1.6s
[CV] c1=0.5327756984920766, c2=0.014562188549016385 ..................
[CV]  c1=0.5327756984920766, c2=0.014562188549016385, score=0.719051 -   1.6s
[CV] c1=0.6332849343647023, c2=0.004374446249007093 ..................
[CV]  c1=0.6332849343647023, c2=0.004374446249007093, score=0.820521 -   1.4s
[CV] c1=3.318848841453513, c2=0.09290045240436955 ....................
[CV]  c1=3.318848841453513, c2=0.09290045240436955, score=0.677357 -   1.5s
[CV] c1=0.3609377860424175, c2=0.004815975462977955 ..................
[CV]  c1=0.3609377860424175, c2=0.004815975462977955, score=0.863544 -   1.3s
[CV] c1=0.02223144329707993, c2=0.01544820908809836 ..................
[CV]  c1=0.02223144329707993, c2=0.01544820908809836, score=0.796944 -   1.1s
[CV] c1=0.8384804523542457, c2=0.01525725991847101 ...................
[CV]  c1=0.8384804523542457, c2=0.01525725991847101, score=0.811952 -   1.3s
[CV] c1=0.12119827497754622, c2=0.045279111962686344 .................
[CV]  c1=0.12119827497754622, c2=0.045279111962686344, score=0.738782 -   1.0s
[CV] c1=0.4207445782811626, c2=0.07556872456525357 ...................
[CV]  c1=0.4207445782811626, c2=0.07556872456525357, score=0.837621 -   1.3s
[CV] c1=1.5726936120957706, c2=0.006260700176041746 ..................
[CV]  c1=1.5726936120957706, c2=0.006260700176041746, score=0.628608 -   1.1s
[CV] c1=0.9936451031383006, c2=0.059962411451326615 ..................
[CV]  c1=0.9936451031383006, c2=0.059962411451326615, score=0.778770 -   1.4s
[CV] c1=0.08705944867403091, c2=0.2108886294786827 ...................
[CV]  c1=0.08705944867403091, c2=0.2108886294786827, score=0.829779 -   1.3s
[CV] c1=1.2194816733768896, c2=0.026270848912098216 ..................
[CV]  c1=1.2194816733768896, c2=0.026270848912098216, score=0.630665 -   1.4s
[CV] c1=0.4520139479052911, c2=0.04913308721311386 ...................
[CV]  c1=0.4520139479052911, c2=0.04913308721311386, score=0.824829 -   1.4s
[CV] c1=1.0045291558749159, c2=0.16535228525586979 ...................
[CV]  c1=1.0045291558749159, c2=0.16535228525586979, score=0.648870 -   1.2s
[CV] c1=0.5325973693179032, c2=0.06696331958430089 ...................
[CV]  c1=0.5325973693179032, c2=0.06696331958430089, score=0.792761 -   1.4s
[CV] c1=1.847334688303957, c2=0.04110672877744175 ....................
[CV]  c1=1.847334688303957, c2=0.04110672877744175, score=0.591964 -   1.1s
[CV] c1=0.35782933358029434, c2=0.030619923987485906 .................
[CV]  c1=0.35782933358029434, c2=0.030619923987485906, score=0.855454 -   1.5s
[CV] c1=0.37044317757927264, c2=0.009083557644160665 .................
[CV]  c1=0.37044317757927264, c2=0.009083557644160665, score=0.839167 -   1.4s
[CV] c1=0.28110929867303724, c2=0.029512298661972726 .................
[CV]  c1=0.28110929867303724, c2=0.029512298661972726, score=0.793435 -   1.4s
[CV] c1=0.2933976345871316, c2=0.011041942882961335 ..................
[CV]  c1=0.2933976345871316, c2=0.011041942882961335, score=0.824929 -   1.5s
[CV] c1=0.5864170185853823, c2=0.09676881826036364 ...................
[CV]  c1=0.5864170185853823, c2=0.09676881826036364, score=0.712854 -   1.5s
[CV] c1=0.9936451031383006, c2=0.059962411451326615 ..................
[CV]  c1=0.9936451031383006, c2=0.059962411451326615, score=0.652221 -   1.2s
[CV] c1=0.022659025885917724, c2=0.05536397699405541 .................
[CV]  c1=0.022659025885917724, c2=0.05536397699405541, score=0.875049 -   1.4s
[CV] c1=0.7193140611110298, c2=0.04809732007398597 ...................
[CV]  c1=0.7193140611110298, c2=0.04809732007398597, score=0.692024 -   1.5s
[CV] c1=0.4520139479052911, c2=0.04913308721311386 ...................
[CV]  c1=0.4520139479052911, c2=0.04913308721311386, score=0.739129 -   1.2s
[CV] c1=1.528456850847705, c2=0.09811194985571142 ....................
[CV]  c1=1.528456850847705, c2=0.09811194985571142, score=0.572098 -   1.4s
[CV] c1=0.6332849343647023, c2=0.004374446249007093 ..................
[CV]  c1=0.6332849343647023, c2=0.004374446249007093, score=0.810792 -   1.5s
[CV] c1=3.318848841453513, c2=0.09290045240436955 ....................
[CV]  c1=3.318848841453513, c2=0.09290045240436955, score=0.543266 -   1.4s
[CV] c1=0.01897465516727078, c2=0.025101791681963227 .................
[CV]  c1=0.01897465516727078, c2=0.025101791681963227, score=0.880253 -   1.3s
[CV] c1=0.923473612129259, c2=0.06860993728413702 ....................
[CV]  c1=0.923473612129259, c2=0.06860993728413702, score=0.789930 -   1.3s
[CV] c1=1.968565242328575, c2=0.2115927958929107 .....................
[CV]  c1=1.968565242328575, c2=0.2115927958929107, score=0.781400 -   1.3s
[CV] c1=0.40611877857779033, c2=0.0014178454456294852 ................
[CV]  c1=0.40611877857779033, c2=0.0014178454456294852, score=0.901989 -   1.4s
[CV] c1=0.4151214771890496, c2=0.04905087171538544 ...................
[CV]  c1=0.4151214771890496, c2=0.04905087171538544, score=0.728914 -   1.2s
[CV] c1=0.21766299833546002, c2=0.13266147013642332 ..................
[CV]  c1=0.21766299833546002, c2=0.13266147013642332, score=0.843448 -   1.3s
[CV] c1=0.022659025885917724, c2=0.05536397699405541 .................
[CV]  c1=0.022659025885917724, c2=0.05536397699405541, score=0.818706 -   1.4s
[CV] c1=0.7193140611110298, c2=0.04809732007398597 ...................
[CV]  c1=0.7193140611110298, c2=0.04809732007398597, score=0.809792 -   1.3s
[CV] c1=0.16889374405050336, c2=0.027001034542754272 .................
[CV]  c1=0.16889374405050336, c2=0.027001034542754272, score=0.901717 -   1.3s
[CV] c1=0.3994993784221809, c2=0.005971184434859137 ..................
[CV]  c1=0.3994993784221809, c2=0.005971184434859137, score=0.901989 -   1.4s
[CV] c1=0.5325973693179032, c2=0.06696331958430089 ...................
[CV]  c1=0.5325973693179032, c2=0.06696331958430089, score=0.875056 -   1.5s
[CV] c1=3.318848841453513, c2=0.09290045240436955 ....................
[CV]  c1=3.318848841453513, c2=0.09290045240436955, score=0.460701 -   1.5s
[CV] c1=0.01897465516727078, c2=0.025101791681963227 .................
[CV]  c1=0.01897465516727078, c2=0.025101791681963227, score=0.849381 -   1.3s
[CV] c1=0.36462634186481857, c2=0.11356359638718563 ..................
[CV]  c1=0.36462634186481857, c2=0.11356359638718563, score=0.884432 -   1.3s
[CV] c1=0.8384804523542457, c2=0.01525725991847101 ...................
[CV]  c1=0.8384804523542457, c2=0.01525725991847101, score=0.817825 -   1.4s
[CV] c1=0.10441955697389638, c2=0.02551826931874028 ..................
[CV]  c1=0.10441955697389638, c2=0.02551826931874028, score=0.744890 -   1.1s
[CV] c1=0.22452827954021223, c2=0.0027560878535982485 ................
[CV]  c1=0.22452827954021223, c2=0.0027560878535982485, score=0.833015 -   1.5s
[CV] c1=1.3252184195067058, c2=0.08692163221435184 ...................
[CV]  c1=1.3252184195067058, c2=0.08692163221435184, score=0.619474 -   1.4s
[CV] c1=0.4729948108700858, c2=0.009873388129061815 ..................
[CV]  c1=0.4729948108700858, c2=0.009873388129061815, score=0.893603 -   1.5s
[CV] c1=2.0698722117760404, c2=0.006118397680235404 ..................
[CV]  c1=2.0698722117760404, c2=0.006118397680235404, score=0.628407 -   1.5s
[CV] c1=0.48272205020691644, c2=0.010078598493654257 .................
[CV]  c1=0.48272205020691644, c2=0.010078598493654257, score=0.823631 -   1.4s
[CV] c1=1.528456850847705, c2=0.09811194985571142 ....................
[CV]  c1=1.528456850847705, c2=0.09811194985571142, score=0.616610 -   1.5s
[CV] c1=0.5325973693179032, c2=0.06696331958430089 ...................
[CV]  c1=0.5325973693179032, c2=0.06696331958430089, score=0.737071 -   1.2s
[CV] c1=0.19702561446724978, c2=0.09587355947648375 ..................
[CV]  c1=0.19702561446724978, c2=0.09587355947648375, score=0.910186 -   1.4s
[CV] c1=0.35782933358029434, c2=0.030619923987485906 .................
[CV]  c1=0.35782933358029434, c2=0.030619923987485906, score=0.787787 -   1.6s
[CV] c1=0.24724082450382343, c2=0.0032541892196374087 ................
[CV]  c1=0.24724082450382343, c2=0.0032541892196374087, score=0.833323 -   1.5s
[CV] c1=0.9569879623839517, c2=0.07523230460221642 ...................
[CV]  c1=0.9569879623839517, c2=0.07523230460221642, score=0.622416 -   1.5s
[CV] c1=0.40611877857779033, c2=0.0014178454456294852 ................
[CV]  c1=0.40611877857779033, c2=0.0014178454456294852, score=0.776400 -   1.4s
[CV] c1=0.4151214771890496, c2=0.04905087171538544 ...................
[CV]  c1=0.4151214771890496, c2=0.04905087171538544, score=0.839126 -   1.4s
[CV] c1=0.38682902881357734, c2=0.04288167700418651 ..................
[CV]  c1=0.38682902881357734, c2=0.04288167700418651, score=0.849191 -   1.3s
[CV] c1=0.21448336808832927, c2=0.012630498794962459 .................
[CV]  c1=0.21448336808832927, c2=0.012630498794962459, score=0.749516 -   1.2s
[CV] c1=1.2194816733768896, c2=0.026270848912098216 ..................
[CV]  c1=1.2194816733768896, c2=0.026270848912098216, score=0.881644 -   1.4s
[CV] c1=0.4520139479052911, c2=0.04913308721311386 ...................
[CV]  c1=0.4520139479052911, c2=0.04913308721311386, score=0.898660 -   1.4s
[CV] c1=0.8476170967644063, c2=0.013713105558875957 ..................
[CV]  c1=0.8476170967644063, c2=0.013713105558875957, score=0.877151 -   1.4s
[CV] c1=0.497849008624245, c2=0.025410030815817143 ...................
[CV]  c1=0.497849008624245, c2=0.025410030815817143, score=0.730334 -   1.4s
[CV] c1=1.847334688303957, c2=0.04110672877744175 ....................
[CV]  c1=1.847334688303957, c2=0.04110672877744175, score=0.719304 -   1.3s
[CV] c1=0.01897465516727078, c2=0.025101791681963227 .................
[CV]  c1=0.01897465516727078, c2=0.025101791681963227, score=0.813970 -   1.3s
[CV] c1=0.02223144329707993, c2=0.01544820908809836 ..................
[CV]  c1=0.02223144329707993, c2=0.01544820908809836, score=0.844281 -   1.3s
[CV] c1=0.28110929867303724, c2=0.029512298661972726 .................
[CV]  c1=0.28110929867303724, c2=0.029512298661972726, score=0.851626 -   1.3s
[CV] c1=0.2933976345871316, c2=0.011041942882961335 ..................
[CV]  c1=0.2933976345871316, c2=0.011041942882961335, score=0.791133 -   1.4s
[CV] c1=0.030269909906492077, c2=0.044054962165971795 ................
[CV]  c1=0.030269909906492077, c2=0.044054962165971795, score=0.781689 -   1.1s
[CV] c1=1.3252184195067058, c2=0.08692163221435184 ...................
[CV]  c1=1.3252184195067058, c2=0.08692163221435184, score=0.582655 -   1.3s
[CV] c1=0.045422957058802026, c2=0.05379553636355583 .................
[CV]  c1=0.045422957058802026, c2=0.05379553636355583, score=0.844067 -   1.4s
[CV] c1=0.49454428763901725, c2=0.00039787062892069334 ...............
[CV]  c1=0.49454428763901725, c2=0.00039787062892069334, score=0.888685 -   1.5s
[CV] c1=0.6481991909051603, c2=0.0395376726712716 ....................
[CV]  c1=0.6481991909051603, c2=0.0395376726712716, score=0.730238 -   1.1s
[CV] c1=0.17205964448994673, c2=0.0032597231265530414 ................
[CV]  c1=0.17205964448994673, c2=0.0032597231265530414, score=0.733523 -   1.1s
[CV] c1=1.0045291558749159, c2=0.16535228525586979 ...................
[CV]  c1=1.0045291558749159, c2=0.16535228525586979, score=0.762811 -   1.3s
[CV] c1=0.4583287125913001, c2=0.029179172004687094 ..................
[CV]  c1=0.4583287125913001, c2=0.029179172004687094, score=0.846761 -   1.4s
[CV] c1=0.04040337116517548, c2=0.0019871392632971135 ................
[CV]  c1=0.04040337116517548, c2=0.0019871392632971135, score=0.838419 -   1.1s
[CV] c1=0.3609377860424175, c2=0.004815975462977955 ..................
[CV]  c1=0.3609377860424175, c2=0.004815975462977955, score=0.779399 -   1.4s
[CV] c1=0.36462634186481857, c2=0.11356359638718563 ..................
[CV]  c1=0.36462634186481857, c2=0.11356359638718563, score=0.737237 -   1.4s
[CV] c1=0.7266325378627134, c2=0.014650518735286396 ..................
[CV]  c1=0.7266325378627134, c2=0.014650518735286396, score=0.823650 -   1.4s
[CV] c1=0.2933976345871316, c2=0.011041942882961335 ..................
[CV]  c1=0.2933976345871316, c2=0.011041942882961335, score=0.912049 -   1.5s
[CV] c1=0.030269909906492077, c2=0.044054962165971795 ................
[CV]  c1=0.030269909906492077, c2=0.044054962165971795, score=0.818706 -   1.6s
[CV] c1=0.21766299833546002, c2=0.13266147013642332 ..................
[CV]  c1=0.21766299833546002, c2=0.13266147013642332, score=0.811167 -   1.5s
[CV] c1=0.08705944867403091, c2=0.2108886294786827 ...................
[CV]  c1=0.08705944867403091, c2=0.2108886294786827, score=0.813491 -   1.4s
[CV] c1=0.3078461675646761, c2=0.0048126638573450274 .................
[CV]  c1=0.3078461675646761, c2=0.0048126638573450274, score=0.902237 -   1.5s
[CV] c1=0.21494959907854852, c2=0.011404378125393355 .................
[CV]  c1=0.21494959907854852, c2=0.011404378125393355, score=0.789067 -   1.4s
[CV] c1=1.0045291558749159, c2=0.16535228525586979 ...................
[CV]  c1=1.0045291558749159, c2=0.16535228525586979, score=0.624331 -   1.5s
[CV] c1=0.38250300531923964, c2=0.04426987638556847 ..................
[CV]  c1=0.38250300531923964, c2=0.04426987638556847, score=0.782385 -   1.5s
[CV] c1=1.9320504980457118, c2=0.012486954501154736 ..................
[CV]  c1=1.9320504980457118, c2=0.012486954501154736, score=0.791479 -   1.4s
[CV] c1=0.07174746366470547, c2=0.009680470330648262 .................
[CV]  c1=0.07174746366470547, c2=0.009680470330648262, score=0.784265 -   0.9s
[CV] c1=0.36462634186481857, c2=0.11356359638718563 ..................
[CV]  c1=0.36462634186481857, c2=0.11356359638718563, score=0.792761 -   1.3s
[CV] c1=0.7266325378627134, c2=0.014650518735286396 ..................
[CV]  c1=0.7266325378627134, c2=0.014650518735286396, score=0.688881 -   1.1s
[CV] c1=0.4600977529465775, c2=0.028719722475870204 ..................
[CV]  c1=0.4600977529465775, c2=0.028719722475870204, score=0.858217 -   1.4s
[CV] c1=0.22452827954021223, c2=0.0027560878535982485 ................
[CV]  c1=0.22452827954021223, c2=0.0027560878535982485, score=0.752614 -   1.1s
[CV] c1=1.5726936120957706, c2=0.006260700176041746 ..................
[CV]  c1=1.5726936120957706, c2=0.006260700176041746, score=0.843890 -   1.5s
[CV] c1=0.2840113551739134, c2=0.08550786098808913 ...................
[CV]  c1=0.2840113551739134, c2=0.08550786098808913, score=0.847097 -   1.4s
[CV] c1=0.24402922557651618, c2=0.05575049070786281 ..................
[CV]  c1=0.24402922557651618, c2=0.05575049070786281, score=0.748968 -   1.2s
[CV] c1=0.3078461675646761, c2=0.0048126638573450274 .................
[CV]  c1=0.3078461675646761, c2=0.0048126638573450274, score=0.793803 -   1.5s
[CV] c1=0.21494959907854852, c2=0.011404378125393355 .................
[CV]  c1=0.21494959907854852, c2=0.011404378125393355, score=0.848003 -   1.5s
[CV] c1=0.7686292294189703, c2=0.01863389674958797 ...................
[CV]  c1=0.7686292294189703, c2=0.01863389674958797, score=0.692024 -   1.5s
[CV] c1=0.5965050880062592, c2=0.044035695297189426 ..................
[CV]  c1=0.5965050880062592, c2=0.044035695297189426, score=0.740736 -   1.2s
[CV] c1=0.21091343088566317, c2=0.026594756383937653 .................
[CV]  c1=0.21091343088566317, c2=0.026594756383937653, score=0.751196 -   1.2s
[CV] c1=1.1177260203960406, c2=0.07521094720771565 ...................
[CV]  c1=1.1177260203960406, c2=0.07521094720771565, score=0.862611 -   1.3s
[CV] c1=0.37044317757927264, c2=0.009083557644160665 .................
[CV]  c1=0.37044317757927264, c2=0.009083557644160665, score=0.853929 -   1.3s
[CV] c1=0.7266325378627134, c2=0.014650518735286396 ..................
[CV]  c1=0.7266325378627134, c2=0.014650518735286396, score=0.808075 -   1.4s
[CV] c1=0.10441955697389638, c2=0.02551826931874028 ..................
[CV]  c1=0.10441955697389638, c2=0.02551826931874028, score=0.825992 -   1.3s
[CV] c1=0.11719463099502622, c2=0.02971905171926392 ..................
[CV]  c1=0.11719463099502622, c2=0.02971905171926392, score=0.810739 -   1.4s
[CV] c1=0.8253230854049421, c2=0.0005212704277349651 .................
[CV]  c1=0.8253230854049421, c2=0.0005212704277349651, score=0.832204 -   1.6s
[CV] c1=0.33885176709768816, c2=0.081882519218754 ....................
[CV]  c1=0.33885176709768816, c2=0.081882519218754, score=0.807600 -   1.5s
[CV] c1=0.7193140611110298, c2=0.04809732007398597 ...................
[CV]  c1=0.7193140611110298, c2=0.04809732007398597, score=0.781514 -   1.4s
[CV] c1=0.16889374405050336, c2=0.027001034542754272 .................
[CV]  c1=0.16889374405050336, c2=0.027001034542754272, score=0.835787 -   1.5s
[CV] c1=0.8476170967644063, c2=0.013713105558875957 ..................
[CV]  c1=0.8476170967644063, c2=0.013713105558875957, score=0.682134 -   1.4s
[CV] c1=0.497849008624245, c2=0.025410030815817143 ...................
[CV]  c1=0.497849008624245, c2=0.025410030815817143, score=0.816158 -   1.5s
[CV] c1=0.04040337116517548, c2=0.0019871392632971135 ................
[CV]  c1=0.04040337116517548, c2=0.0019871392632971135, score=0.890439 -   1.5s
[CV] c1=1.1177260203960406, c2=0.07521094720771565 ...................
[CV]  c1=1.1177260203960406, c2=0.07521094720771565, score=0.774329 -   1.3s
[CV] c1=1.2509716718041635, c2=0.007723878837726824 ..................
[CV]  c1=1.2509716718041635, c2=0.007723878837726824, score=0.641960 -   0.9s
[CV] c1=0.03035384096331735, c2=0.18127212777661192 ..................
[CV]  c1=0.03035384096331735, c2=0.18127212777661192, score=0.776090 -   1.2s
[CV] c1=1.968565242328575, c2=0.2115927958929107 .....................
[CV]  c1=1.968565242328575, c2=0.2115927958929107, score=0.573841 -   1.2s
[CV] c1=0.13537421182917211, c2=0.046705764950876805 .................
[CV]  c1=0.13537421182917211, c2=0.046705764950876805, score=0.797340 -   1.4s
[CV] c1=0.15729280683582067, c2=0.0957847906662774 ...................
[CV]  c1=0.15729280683582067, c2=0.0957847906662774, score=0.769512 -   1.3s
[CV] c1=0.21766299833546002, c2=0.13266147013642332 ..................
[CV]  c1=0.21766299833546002, c2=0.13266147013642332, score=0.785163 -   1.5s
[CV] c1=0.08705944867403091, c2=0.2108886294786827 ...................
[CV]  c1=0.08705944867403091, c2=0.2108886294786827, score=0.764058 -   1.2s
[CV] c1=0.7193140611110298, c2=0.04809732007398597 ...................
[CV]  c1=0.7193140611110298, c2=0.04809732007398597, score=0.880076 -   1.5s
[CV] c1=0.16889374405050336, c2=0.027001034542754272 .................
[CV]  c1=0.16889374405050336, c2=0.027001034542754272, score=0.845839 -   1.4s
[CV] c1=0.3994993784221809, c2=0.005971184434859137 ..................
[CV]  c1=0.3994993784221809, c2=0.005971184434859137, score=0.853929 -   1.4s
[CV] c1=0.497849008624245, c2=0.025410030815817143 ...................
[CV]  c1=0.497849008624245, c2=0.025410030815817143, score=0.898660 -   1.5s
[CV] c1=1.847334688303957, c2=0.04110672877744175 ....................
[CV]  c1=1.847334688303957, c2=0.04110672877744175, score=0.561697 -   1.5s
[CV] c1=1.1177260203960406, c2=0.07521094720771565 ...................
[CV]  c1=1.1177260203960406, c2=0.07521094720771565, score=0.630665 -   1.3s
[CV] c1=0.24724082450382343, c2=0.0032541892196374087 ................
[CV]  c1=0.24724082450382343, c2=0.0032541892196374087, score=0.744446 -   1.2s
[CV] c1=0.28110929867303724, c2=0.029512298661972726 .................
[CV]  c1=0.28110929867303724, c2=0.029512298661972726, score=0.811184 -   1.5s
[CV] c1=0.13537421182917211, c2=0.046705764950876805 .................
[CV]  c1=0.13537421182917211, c2=0.046705764950876805, score=0.808350 -   1.4s
[CV] c1=0.5864170185853823, c2=0.09676881826036364 ...................
[CV]  c1=0.5864170185853823, c2=0.09676881826036364, score=0.790044 -   1.5s
[CV] c1=0.9936451031383006, c2=0.059962411451326615 ..................
[CV]  c1=0.9936451031383006, c2=0.059962411451326615, score=0.665279 -   1.4s
[CV] c1=0.08705944867403091, c2=0.2108886294786827 ...................
[CV]  c1=0.08705944867403091, c2=0.2108886294786827, score=0.780922 -   1.4s
[CV] c1=1.2194816733768896, c2=0.026270848912098216 ..................
[CV]  c1=1.2194816733768896, c2=0.026270848912098216, score=0.686745 -   1.4s
[CV] c1=0.21494959907854852, c2=0.011404378125393355 .................
[CV]  c1=0.21494959907854852, c2=0.011404378125393355, score=0.743465 -   1.3s
[CV] c1=0.8476170967644063, c2=0.013713105558875957 ..................
[CV]  c1=0.8476170967644063, c2=0.013713105558875957, score=0.832204 -   1.4s
[CV] c1=0.4583287125913001, c2=0.029179172004687094 ..................
[CV]  c1=0.4583287125913001, c2=0.029179172004687094, score=0.893260 -   1.5s
[CV] c1=0.04040337116517548, c2=0.0019871392632971135 ................
[CV]  c1=0.04040337116517548, c2=0.0019871392632971135, score=0.854980 -   1.3s
[CV] c1=1.1177260203960406, c2=0.07521094720771565 ...................
[CV]  c1=1.1177260203960406, c2=0.07521094720771565, score=0.662898 -   1.1s
[CV] c1=0.018937829422370992, c2=0.009941125318682386 ................
[CV]  c1=0.018937829422370992, c2=0.009941125318682386, score=0.869598 -   1.4s
[CV] c1=0.5987950675449116, c2=0.0035132107367418135 .................
[CV]  c1=0.5987950675449116, c2=0.0035132107367418135, score=0.723361 -   1.5s
[CV] c1=0.34771782193614725, c2=0.09131270055999265 ..................
[CV]  c1=0.34771782193614725, c2=0.09131270055999265, score=0.844685 -   1.3s
[CV] c1=0.15729280683582067, c2=0.0957847906662774 ...................
[CV]  c1=0.15729280683582067, c2=0.0957847906662774, score=0.798358 -   1.4s
[CV] c1=0.38682902881357734, c2=0.04288167700418651 ..................
[CV]  c1=0.38682902881357734, c2=0.04288167700418651, score=0.901989 -   1.6s
[CV] c1=0.24402922557651618, c2=0.05575049070786281 ..................
[CV]  c1=0.24402922557651618, c2=0.05575049070786281, score=0.910186 -   1.4s
[CV] c1=0.2871046277617113, c2=0.00048152999853626037 ................
[CV]  c1=0.2871046277617113, c2=0.00048152999853626037, score=0.720378 -   1.1s
[CV] c1=0.21494959907854852, c2=0.011404378125393355 .................
[CV]  c1=0.21494959907854852, c2=0.011404378125393355, score=0.901717 -   1.3s
[CV] c1=1.0045291558749159, c2=0.16535228525586979 ...................
[CV]  c1=1.0045291558749159, c2=0.16535228525586979, score=0.852395 -   1.4s
[CV] c1=0.4583287125913001, c2=0.029179172004687094 ..................
[CV]  c1=0.4583287125913001, c2=0.029179172004687094, score=0.738096 -   1.1s
[CV] c1=3.318848841453513, c2=0.09290045240436955 ....................
[CV]  c1=3.318848841453513, c2=0.09290045240436955, score=0.588457 -   1.5s
[CV] c1=0.3609377860424175, c2=0.004815975462977955 ..................
[CV]  c1=0.3609377860424175, c2=0.004815975462977955, score=0.829739 -   1.4s
[CV] c1=0.24724082450382343, c2=0.0032541892196374087 ................
[CV]  c1=0.24724082450382343, c2=0.0032541892196374087, score=0.848142 -   1.3s
[CV] c1=0.9569879623839517, c2=0.07523230460221642 ...................
[CV]  c1=0.9569879623839517, c2=0.07523230460221642, score=0.874863 -   1.4s
[CV] c1=0.34771782193614725, c2=0.09131270055999265 ..................
[CV]  c1=0.34771782193614725, c2=0.09131270055999265, score=0.782572 -   1.6s
[CV] c1=0.4151214771890496, c2=0.04905087171538544 ...................
[CV]  c1=0.4151214771890496, c2=0.04905087171538544, score=0.798138 -   1.4s
[CV] c1=0.2840113551739134, c2=0.08550786098808913 ...................
[CV]  c1=0.2840113551739134, c2=0.08550786098808913, score=0.899746 -   1.5s
[CV] c1=0.24402922557651618, c2=0.05575049070786281 ..................
[CV]  c1=0.24402922557651618, c2=0.05575049070786281, score=0.855454 -   1.3s
[CV] c1=0.2871046277617113, c2=0.00048152999853626037 ................
[CV]  c1=0.2871046277617113, c2=0.00048152999853626037, score=0.799144 -   1.4s
[CV] c1=0.37480855332987917, c2=0.04846942518189146 ..................
[CV]  c1=0.37480855332987917, c2=0.04846942518189146, score=0.807600 -   1.5s
[CV] c1=0.7686292294189703, c2=0.01863389674958797 ...................
[CV]  c1=0.7686292294189703, c2=0.01863389674958797, score=0.804911 -   1.4s
[CV] c1=0.5965050880062592, c2=0.044035695297189426 ..................
[CV]  c1=0.5965050880062592, c2=0.044035695297189426, score=0.880076 -   1.4s
[CV] c1=1.9320504980457118, c2=0.012486954501154736 ..................
[CV]  c1=1.9320504980457118, c2=0.012486954501154736, score=0.600285 -   1.1s
[CV] c1=1.1177260203960406, c2=0.07521094720771565 ...................
[CV]  c1=1.1177260203960406, c2=0.07521094720771565, score=0.613937 -   1.3s
[CV] c1=1.2509716718041635, c2=0.007723878837726824 ..................
[CV]  c1=1.2509716718041635, c2=0.007723878837726824, score=0.780852 -   1.2s
[CV] c1=0.08935333490939884, c2=0.0891239084994759 ...................
[CV]  c1=0.08935333490939884, c2=0.0891239084994759, score=0.841512 -   1.3s
[CV] c1=0.4600977529465775, c2=0.028719722475870204 ..................
[CV]  c1=0.4600977529465775, c2=0.028719722475870204, score=0.738096 -   1.1s
[CV] c1=0.4207445782811626, c2=0.07556872456525357 ...................
[CV]  c1=0.4207445782811626, c2=0.07556872456525357, score=0.888342 -   1.5s
[CV] c1=1.5726936120957706, c2=0.006260700176041746 ..................
[CV]  c1=1.5726936120957706, c2=0.006260700176041746, score=0.762794 -   1.4s
[CV] c1=0.2840113551739134, c2=0.08550786098808913 ...................
[CV]  c1=0.2840113551739134, c2=0.08550786098808913, score=0.734346 -   1.2s
[CV] c1=0.21448336808832927, c2=0.012630498794962459 .................
[CV]  c1=0.21448336808832927, c2=0.012630498794962459, score=0.902056 -   1.4s
[CV] c1=0.3078461675646761, c2=0.0048126638573450274 .................
[CV]  c1=0.3078461675646761, c2=0.0048126638573450274, score=0.734173 -   1.3s
[CV] c1=0.4520139479052911, c2=0.04913308721311386 ...................
[CV]  c1=0.4520139479052911, c2=0.04913308721311386, score=0.844206 -   1.4s
[CV] c1=0.8476170967644063, c2=0.013713105558875957 ..................
[CV]  c1=0.8476170967644063, c2=0.013713105558875957, score=0.819921 -   1.4s
[CV] c1=0.497849008624245, c2=0.025410030815817143 ...................
[CV]  c1=0.497849008624245, c2=0.025410030815817143, score=0.846761 -   1.4s
[CV] c1=1.847334688303957, c2=0.04110672877744175 ....................
[CV]  c1=1.847334688303957, c2=0.04110672877744175, score=0.603402 -   1.5s
[CV] c1=0.01897465516727078, c2=0.025101791681963227 .................
[CV]  c1=0.01897465516727078, c2=0.025101791681963227, score=0.834328 -   1.5s
[CV] c1=0.018937829422370992, c2=0.009941125318682386 ................
[CV]  c1=0.018937829422370992, c2=0.009941125318682386, score=0.843306 -   1.5s
[CV] c1=0.9569879623839517, c2=0.07523230460221642 ...................
[CV]  c1=0.9569879623839517, c2=0.07523230460221642, score=0.778770 -   1.3s
[CV] c1=0.34771782193614725, c2=0.09131270055999265 ..................
[CV]  c1=0.34771782193614725, c2=0.09131270055999265, score=0.893260 -   1.4s
[CV] c1=0.15729280683582067, c2=0.0957847906662774 ...................
[CV]  c1=0.15729280683582067, c2=0.0957847906662774, score=0.846472 -   1.3s
[CV] c1=0.9936451031383006, c2=0.059962411451326615 ..................
[CV]  c1=0.9936451031383006, c2=0.059962411451326615, score=0.872483 -   1.4s
[CV] c1=0.08705944867403091, c2=0.2108886294786827 ...................
[CV]  c1=0.08705944867403091, c2=0.2108886294786827, score=0.892536 -   1.5s
[CV] c1=1.2194816733768896, c2=0.026270848912098216 ..................
[CV]  c1=1.2194816733768896, c2=0.026270848912098216, score=0.781273 -   1.3s
[CV] c1=0.4520139479052911, c2=0.04913308721311386 ...................
[CV]  c1=0.4520139479052911, c2=0.04913308721311386, score=0.764023 -   1.7s
[CV] c1=0.7686292294189703, c2=0.01863389674958797 ...................
[CV]  c1=0.7686292294189703, c2=0.01863389674958797, score=0.880076 -   1.4s
[CV] c1=0.38250300531923964, c2=0.04426987638556847 ..................
[CV]  c1=0.38250300531923964, c2=0.04426987638556847, score=0.895715 -   1.4s
[CV] c1=0.21091343088566317, c2=0.026594756383937653 .................
[CV]  c1=0.21091343088566317, c2=0.026594756383937653, score=0.855454 -   1.4s
[CV] c1=0.033217373044715205, c2=0.049023628485085874 ................
[CV]  c1=0.033217373044715205, c2=0.049023628485085874, score=0.818706 -   1.2s
[CV] c1=0.923473612129259, c2=0.06860993728413702 ....................
[CV]  c1=0.923473612129259, c2=0.06860993728413702, score=0.871955 -   1.5s
[CV] c1=1.968565242328575, c2=0.2115927958929107 .....................
[CV]  c1=1.968565242328575, c2=0.2115927958929107, score=0.680322 -   1.3s
[CV] c1=0.40611877857779033, c2=0.0014178454456294852 ................
[CV]  c1=0.40611877857779033, c2=0.0014178454456294852, score=0.860520 -   1.3s
[CV] c1=0.4151214771890496, c2=0.04905087171538544 ...................
[CV]  c1=0.4151214771890496, c2=0.04905087171538544, score=0.782572 -   1.5s
[CV] c1=0.38682902881357734, c2=0.04288167700418651 ..................
[CV]  c1=0.38682902881357734, c2=0.04288167700418651, score=0.811184 -   1.6s
[CV] c1=0.15802961913997074, c2=0.006850693527337331 .................
[CV]  c1=0.15802961913997074, c2=0.006850693527337331, score=0.916722 -   1.4s
[CV] c1=0.431040225114706, c2=0.06204344291665024 ....................
[CV]  c1=0.431040225114706, c2=0.06204344291665024, score=0.745182 -   1.1s
[CV] c1=0.37480855332987917, c2=0.04846942518189146 ..................
[CV]  c1=0.37480855332987917, c2=0.04846942518189146, score=0.895648 -   1.5s
[CV] c1=0.7686292294189703, c2=0.01863389674958797 ...................
[CV]  c1=0.7686292294189703, c2=0.01863389674958797, score=0.705181 -   1.1s
[CV] c1=0.4583287125913001, c2=0.029179172004687094 ..................
[CV]  c1=0.4583287125913001, c2=0.029179172004687094, score=0.777196 -   1.5s
[CV] c1=0.04040337116517548, c2=0.0019871392632971135 ................
[CV]  c1=0.04040337116517548, c2=0.0019871392632971135, score=0.879549 -   1.5s
[CV] c1=0.033217373044715205, c2=0.049023628485085874 ................
[CV]  c1=0.033217373044715205, c2=0.049023628485085874, score=0.880253 -   1.3s
[CV] c1=0.923473612129259, c2=0.06860993728413702 ....................
[CV]  c1=0.923473612129259, c2=0.06860993728413702, score=0.671762 -   1.5s
[CV] c1=1.968565242328575, c2=0.2115927958929107 .....................
[CV]  c1=1.968565242328575, c2=0.2115927958929107, score=0.548408 -   1.4s
[CV] c1=0.40611877857779033, c2=0.0014178454456294852 ................
[CV]  c1=0.40611877857779033, c2=0.0014178454456294852, score=0.836463 -   1.5s
[CV] c1=1.5726936120957706, c2=0.006260700176041746 ..................
[CV]  c1=1.5726936120957706, c2=0.006260700176041746, score=0.616610 -   1.4s
[CV] c1=0.2840113551739134, c2=0.08550786098808913 ...................
[CV]  c1=0.2840113551739134, c2=0.08550786098808913, score=0.776860 -   1.4s
[CV] c1=0.24402922557651618, c2=0.05575049070786281 ..................
[CV]  c1=0.24402922557651618, c2=0.05575049070786281, score=0.797118 -   1.4s
[CV] c1=0.2871046277617113, c2=0.00048152999853626037 ................
[CV]  c1=0.2871046277617113, c2=0.00048152999853626037, score=0.848142 -   1.4s
[CV] c1=0.37480855332987917, c2=0.04846942518189146 ..................
[CV]  c1=0.37480855332987917, c2=0.04846942518189146, score=0.782572 -   1.4s
[CV] c1=0.7686292294189703, c2=0.01863389674958797 ...................
[CV]  c1=0.7686292294189703, c2=0.01863389674958797, score=0.805619 -   1.3s
[CV] c1=0.38250300531923964, c2=0.04426987638556847 ..................
[CV]  c1=0.38250300531923964, c2=0.04426987638556847, score=0.858217 -   1.4s
[CV] c1=0.21091343088566317, c2=0.026594756383937653 .................
[CV]  c1=0.21091343088566317, c2=0.026594756383937653, score=0.806003 -   1.6s
[CV] c1=0.07174746366470547, c2=0.009680470330648262 .................
[CV]  c1=0.07174746366470547, c2=0.009680470330648262, score=0.845068 -   1.1s
[CV] c1=0.24724082450382343, c2=0.0032541892196374087 ................
[CV]  c1=0.24724082450382343, c2=0.0032541892196374087, score=0.799450 -   1.5s
[CV] c1=1.968565242328575, c2=0.2115927958929107 .....................
[CV]  c1=1.968565242328575, c2=0.2115927958929107, score=0.599232 -   1.5s
[CV] c1=0.4207445782811626, c2=0.07556872456525357 ...................
[CV]  c1=0.4207445782811626, c2=0.07556872456525357, score=0.724878 -   1.1s
[CV] c1=0.15729280683582067, c2=0.0957847906662774 ...................
[CV]  c1=0.15729280683582067, c2=0.0957847906662774, score=0.817995 -   1.5s
[CV] c1=0.38682902881357734, c2=0.04288167700418651 ..................
[CV]  c1=0.38682902881357734, c2=0.04288167700418651, score=0.788097 -   1.5s
[CV] c1=0.21448336808832927, c2=0.012630498794962459 .................
[CV]  c1=0.21448336808832927, c2=0.012630498794962459, score=0.855454 -   1.4s
[CV] c1=0.3078461675646761, c2=0.0048126638573450274 .................
[CV]  c1=0.3078461675646761, c2=0.0048126638573450274, score=0.850905 -   1.4s
[CV] c1=0.21494959907854852, c2=0.011404378125393355 .................
[CV]  c1=0.21494959907854852, c2=0.011404378125393355, score=0.845839 -   1.4s
[CV] c1=1.0045291558749159, c2=0.16535228525586979 ...................
[CV]  c1=1.0045291558749159, c2=0.16535228525586979, score=0.631761 -   1.5s
[CV] c1=0.4583287125913001, c2=0.029179172004687094 ..................
[CV]  c1=0.4583287125913001, c2=0.029179172004687094, score=0.798138 -   1.4s
[CV] c1=0.21091343088566317, c2=0.026594756383937653 .................
[CV]  c1=0.21091343088566317, c2=0.026594756383937653, score=0.901717 -   1.5s
[CV] c1=0.033217373044715205, c2=0.049023628485085874 ................
[CV]  c1=0.033217373044715205, c2=0.049023628485085874, score=0.844067 -   1.2s
[CV] c1=0.26186329711813966, c2=0.04297074423665015 ..................
[CV]  c1=0.26186329711813966, c2=0.04297074423665015, score=0.817369 -   1.2s
[CV] c1=0.08935333490939884, c2=0.0891239084994759 ...................
[CV]  c1=0.08935333490939884, c2=0.0891239084994759, score=0.797404 -   1.4s
[CV] c1=0.4600977529465775, c2=0.028719722475870204 ..................
[CV]  c1=0.4600977529465775, c2=0.028719722475870204, score=0.778534 -   1.6s
[CV] c1=0.12590098421905943, c2=0.031097401969881585 .................
[CV]  c1=0.12590098421905943, c2=0.031097401969881585, score=0.855454 -   1.4s
[CV] c1=0.8253230854049421, c2=0.0005212704277349651 .................
[CV]  c1=0.8253230854049421, c2=0.0005212704277349651, score=0.870368 -   1.5s
[CV] c1=0.4729948108700858, c2=0.009873388129061815 ..................
[CV]  c1=0.4729948108700858, c2=0.009873388129061815, score=0.828568 -   1.4s
[CV] c1=2.0698722117760404, c2=0.006118397680235404 ..................
[CV]  c1=2.0698722117760404, c2=0.006118397680235404, score=0.714283 -   1.5s
[CV] c1=0.037068588325997326, c2=0.051047147451732715 ................
[CV]  c1=0.037068588325997326, c2=0.051047147451732715, score=0.785692 -   1.2s
[CV] c1=0.620055631766763, c2=0.3364761821818869 .....................
[CV]  c1=0.620055631766763, c2=0.3364761821818869, score=0.737754 -   1.4s
[CV] c1=1.6992099647479735, c2=0.042794640209682086 ..................
[CV]  c1=1.6992099647479735, c2=0.042794640209682086, score=0.607057 -   1.2s
[CV] c1=0.5965050880062592, c2=0.044035695297189426 ..................
[CV]  c1=0.5965050880062592, c2=0.044035695297189426, score=0.809792 -   1.4s
[CV] c1=1.9320504980457118, c2=0.012486954501154736 ..................
[CV]  c1=1.9320504980457118, c2=0.012486954501154736, score=0.715157 -   1.4s
[CV] c1=0.07174746366470547, c2=0.009680470330648262 .................
[CV]  c1=0.07174746366470547, c2=0.009680470330648262, score=0.810739 -   1.2s
[CV] c1=0.37044317757927264, c2=0.009083557644160665 .................
[CV]  c1=0.37044317757927264, c2=0.009083557644160665, score=0.908075 -   1.3s
[CV] c1=0.7266325378627134, c2=0.014650518735286396 ..................
[CV]  c1=0.7266325378627134, c2=0.014650518735286396, score=0.868627 -   1.4s
[CV] c1=0.10441955697389638, c2=0.02551826931874028 ..................
[CV]  c1=0.10441955697389638, c2=0.02551826931874028, score=0.810739 -   1.4s
[CV] c1=0.11719463099502622, c2=0.02971905171926392 ..................
[CV]  c1=0.11719463099502622, c2=0.02971905171926392, score=0.802205 -   1.4s
[CV] c1=1.0350198894175204, c2=0.025786015907696604 ..................
[CV]  c1=1.0350198894175204, c2=0.025786015907696604, score=0.886141 -   1.4s
[CV] c1=0.33885176709768816, c2=0.081882519218754 ....................
[CV]  c1=0.33885176709768816, c2=0.081882519218754, score=0.733457 -   1.2s
[CV] c1=0.49454428763901725, c2=0.00039787062892069334 ...............
[CV]  c1=0.49454428763901725, c2=0.00039787062892069334, score=0.825423 -   1.5s
[CV] c1=0.48272205020691644, c2=0.010078598493654257 .................
[CV]  c1=0.48272205020691644, c2=0.010078598493654257, score=0.746333 -   1.2s
[CV] c1=0.620055631766763, c2=0.3364761821818869 .....................
[CV]  c1=0.620055631766763, c2=0.3364761821818869, score=0.855646 -   1.4s
[CV] c1=1.6992099647479735, c2=0.042794640209682086 ..................
[CV]  c1=1.6992099647479735, c2=0.042794640209682086, score=0.817415 -   1.4s
[CV] c1=1.3485236744175935, c2=0.015638619850280283 ..................
[CV]  c1=1.3485236744175935, c2=0.015638619850280283, score=0.633591 -   1.1s
[CV] c1=0.21091343088566317, c2=0.026594756383937653 .................
[CV]  c1=0.21091343088566317, c2=0.026594756383937653, score=0.835787 -   1.4s
[CV] c1=0.07174746366470547, c2=0.009680470330648262 .................
[CV]  c1=0.07174746366470547, c2=0.009680470330648262, score=0.901717 -   1.2s
[CV] c1=0.26186329711813966, c2=0.04297074423665015 ..................
[CV]  c1=0.26186329711813966, c2=0.04297074423665015, score=0.742518 -   0.8s
[CV] c1=0.03035384096331735, c2=0.18127212777661192 ..................
[CV]  c1=0.03035384096331735, c2=0.18127212777661192, score=0.873689 -   1.5s
[CV] c1=0.47696974362051786, c2=0.10174481953980193 ..................
[CV]  c1=0.47696974362051786, c2=0.10174481953980193, score=0.717169 -   1.6s
[CV] c1=0.22452827954021223, c2=0.0027560878535982485 ................
[CV]  c1=0.22452827954021223, c2=0.0027560878535982485, score=0.901717 -   1.4s
[CV] c1=2.0810870418849237, c2=0.15184397520564574 ...................
[CV]  c1=2.0810870418849237, c2=0.15184397520564574, score=0.567049 -   1.3s
[CV] c1=0.2840113551739134, c2=0.08550786098808913 ...................
[CV]  c1=0.2840113551739134, c2=0.08550786098808913, score=0.840348 -   1.5s
[CV] c1=0.15802961913997074, c2=0.006850693527337331 .................
[CV]  c1=0.15802961913997074, c2=0.006850693527337331, score=0.802041 -   1.5s
[CV] c1=0.431040225114706, c2=0.06204344291665024 ....................
[CV]  c1=0.431040225114706, c2=0.06204344291665024, score=0.792761 -   1.5s
[CV] c1=0.620055631766763, c2=0.3364761821818869 .....................
[CV]  c1=0.620055631766763, c2=0.3364761821818869, score=0.661704 -   1.2s
[CV] c1=0.7223447703583099, c2=0.058997635061345935 ..................
[CV]  c1=0.7223447703583099, c2=0.058997635061345935, score=0.712927 -   1.2s
[CV] c1=0.38250300531923964, c2=0.04426987638556847 ..................
[CV]  c1=0.38250300531923964, c2=0.04426987638556847, score=0.737424 -   1.2s
[CV] c1=0.04040337116517548, c2=0.0019871392632971135 ................
[CV]  c1=0.04040337116517548, c2=0.0019871392632971135, score=0.824988 -   1.5s
[CV] c1=0.033217373044715205, c2=0.049023628485085874 ................
[CV]  c1=0.033217373044715205, c2=0.049023628485085874, score=0.785487 -   1.0s
[CV] c1=1.2509716718041635, c2=0.007723878837726824 ..................
[CV]  c1=1.2509716718041635, c2=0.007723878837726824, score=0.656839 -   1.3s
[CV] c1=0.8384804523542457, c2=0.01525725991847101 ...................
[CV]  c1=0.8384804523542457, c2=0.01525725991847101, score=0.880269 -   1.5s
[CV] c1=0.12119827497754622, c2=0.045279111962686344 .................
[CV]  c1=0.12119827497754622, c2=0.045279111962686344, score=0.778172 -   1.5s
[CV] c1=0.11719463099502622, c2=0.02971905171926392 ..................
[CV]  c1=0.11719463099502622, c2=0.02971905171926392, score=0.842262 -   1.4s
[CV] c1=0.8253230854049421, c2=0.0005212704277349651 .................
[CV]  c1=0.8253230854049421, c2=0.0005212704277349651, score=0.822624 -   1.3s
[CV] c1=0.4729948108700858, c2=0.009873388129061815 ..................
[CV]  c1=0.4729948108700858, c2=0.009873388129061815, score=0.776554 -   1.5s
[CV] c1=0.7497022582332932, c2=0.02755179929441255 ...................
[CV]  c1=0.7497022582332932, c2=0.02755179929441255, score=0.691333 -   1.2s
[CV] c1=0.48272205020691644, c2=0.010078598493654257 .................
[CV]  c1=0.48272205020691644, c2=0.010078598493654257, score=0.778732 -   1.5s
[CV] c1=1.528456850847705, c2=0.09811194985571142 ....................
[CV]  c1=1.528456850847705, c2=0.09811194985571142, score=0.818302 -   1.4s
[CV] c1=0.6332849343647023, c2=0.004374446249007093 ..................
[CV]  c1=0.6332849343647023, c2=0.004374446249007093, score=0.736089 -   1.2s
[CV] c1=1.3485236744175935, c2=0.015638619850280283 ..................
[CV]  c1=1.3485236744175935, c2=0.015638619850280283, score=0.772890 -   1.3s
[CV] c1=0.42467933555149107, c2=0.05653815714448707 ..................
[CV]  c1=0.42467933555149107, c2=0.05653815714448707, score=0.739857 -   1.2s
[CV] c1=0.033217373044715205, c2=0.049023628485085874 ................
[CV]  c1=0.033217373044715205, c2=0.049023628485085874, score=0.804971 -   1.2s
[CV] c1=1.2509716718041635, c2=0.007723878837726824 ..................
[CV]  c1=1.2509716718041635, c2=0.007723878837726824, score=0.630825 -   1.3s
[CV] c1=0.8384804523542457, c2=0.01525725991847101 ...................
[CV]  c1=0.8384804523542457, c2=0.01525725991847101, score=0.687523 -   1.4s
[CV] c1=0.12119827497754622, c2=0.045279111962686344 .................
[CV]  c1=0.12119827497754622, c2=0.045279111962686344, score=0.810739 -   1.5s
[CV] c1=0.11719463099502622, c2=0.02971905171926392 ..................
[CV]  c1=0.11719463099502622, c2=0.02971905171926392, score=0.737917 -   1.2s
[CV] c1=1.3252184195067058, c2=0.08692163221435184 ...................
[CV]  c1=1.3252184195067058, c2=0.08692163221435184, score=0.646963 -   1.2s
[CV] c1=0.25829313117451536, c2=0.0068203367055467675 ................
[CV]  c1=0.25829313117451536, c2=0.0068203367055467675, score=0.742410 -   1.2s
[CV] c1=0.21448336808832927, c2=0.012630498794962459 .................
[CV]  c1=0.21448336808832927, c2=0.012630498794962459, score=0.802315 -   1.5s
[CV] c1=0.2871046277617113, c2=0.00048152999853626037 ................
[CV]  c1=0.2871046277617113, c2=0.00048152999853626037, score=0.857276 -   1.5s
[CV] c1=0.17205964448994673, c2=0.0032597231265530414 ................
[CV]  c1=0.17205964448994673, c2=0.0032597231265530414, score=0.901717 -   1.4s
[CV] c1=0.7223447703583099, c2=0.058997635061345935 ..................
[CV]  c1=0.7223447703583099, c2=0.058997635061345935, score=0.880076 -   1.5s
[CV] c1=0.5965050880062592, c2=0.044035695297189426 ..................
[CV]  c1=0.5965050880062592, c2=0.044035695297189426, score=0.734724 -   1.4s
[CV] c1=1.9320504980457118, c2=0.012486954501154736 ..................
[CV]  c1=1.9320504980457118, c2=0.012486954501154736, score=0.619259 -   1.5s
[CV] c1=0.4934475924246177, c2=0.01270613010373317 ...................
[CV]  c1=0.4934475924246177, c2=0.01270613010373317, score=0.897566 -   1.1s
[CV] c1=0.018937829422370992, c2=0.009941125318682386 ................
[CV]  c1=0.018937829422370992, c2=0.009941125318682386, score=0.836769 -   1.4s
[CV] c1=0.5987950675449116, c2=0.0035132107367418135 .................
[CV]  c1=0.5987950675449116, c2=0.0035132107367418135, score=0.817527 -   1.3s
[CV] c1=0.13537421182917211, c2=0.046705764950876805 .................
[CV]  c1=0.13537421182917211, c2=0.046705764950876805, score=0.841565 -   1.4s
[CV] c1=0.5864170185853823, c2=0.09676881826036364 ...................
[CV]  c1=0.5864170185853823, c2=0.09676881826036364, score=0.806587 -   1.3s
[CV] c1=0.21766299833546002, c2=0.13266147013642332 ..................
[CV]  c1=0.21766299833546002, c2=0.13266147013642332, score=0.753818 -   1.1s
[CV] c1=0.33885176709768816, c2=0.081882519218754 ....................
[CV]  c1=0.33885176709768816, c2=0.081882519218754, score=0.893260 -   1.5s
[CV] c1=0.7497022582332932, c2=0.02755179929441255 ...................
[CV]  c1=0.7497022582332932, c2=0.02755179929441255, score=0.697286 -   1.5s
[CV] c1=0.037068588325997326, c2=0.051047147451732715 ................
[CV]  c1=0.037068588325997326, c2=0.051047147451732715, score=0.845848 -   1.5s
[CV] c1=0.3994993784221809, c2=0.005971184434859137 ..................
[CV]  c1=0.3994993784221809, c2=0.005971184434859137, score=0.789782 -   1.3s
[CV] c1=0.5325973693179032, c2=0.06696331958430089 ...................
[CV]  c1=0.5325973693179032, c2=0.06696331958430089, score=0.712854 -   1.3s
[CV] c1=3.318848841453513, c2=0.09290045240436955 ....................
[CV]  c1=3.318848841453513, c2=0.09290045240436955, score=0.395305 -   1.1s
[CV] c1=1.0344409618920174, c2=0.03595924162279505 ...................
[CV]  c1=1.0344409618920174, c2=0.03595924162279505, score=0.657516 -   1.1s
[CV] c1=0.4934475924246177, c2=0.01270613010373317 ...................
[CV]  c1=0.4934475924246177, c2=0.01270613010373317, score=0.734972 -   1.1s
[CV] c1=0.36462634186481857, c2=0.11356359638718563 ..................
[CV]  c1=0.36462634186481857, c2=0.11356359638718563, score=0.730023 -   1.0s
[CV] c1=0.08935333490939884, c2=0.0891239084994759 ...................
[CV]  c1=0.08935333490939884, c2=0.0891239084994759, score=0.902104 -   1.5s
[CV] c1=0.4600977529465775, c2=0.028719722475870204 ..................
[CV]  c1=0.4600977529465775, c2=0.028719722475870204, score=0.839667 -   1.5s
[CV] c1=0.12590098421905943, c2=0.031097401969881585 .................
[CV]  c1=0.12590098421905943, c2=0.031097401969881585, score=0.808350 -   1.4s
[CV] c1=1.3252184195067058, c2=0.08692163221435184 ...................
[CV]  c1=1.3252184195067058, c2=0.08692163221435184, score=0.740087 -   1.3s
[CV] c1=0.045422957058802026, c2=0.05379553636355583 .................
[CV]  c1=0.045422957058802026, c2=0.05379553636355583, score=0.857727 -   1.5s
[CV] c1=2.0698722117760404, c2=0.006118397680235404 ..................
[CV]  c1=2.0698722117760404, c2=0.006118397680235404, score=0.574251 -   1.2s
[CV] c1=0.6481991909051603, c2=0.0395376726712716 ....................
[CV]  c1=0.6481991909051603, c2=0.0395376726712716, score=0.880076 -   1.5s
[CV] c1=0.620055631766763, c2=0.3364761821818869 .....................
[CV]  c1=0.620055631766763, c2=0.3364761821818869, score=0.673301 -   1.4s
[CV] c1=1.6992099647479735, c2=0.042794640209682086 ..................
[CV]  c1=1.6992099647479735, c2=0.042794640209682086, score=0.755221 -   1.3s
[CV] c1=1.3485236744175935, c2=0.015638619850280283 ..................
[CV]  c1=1.3485236744175935, c2=0.015638619850280283, score=0.621522 -   1.4s
[CV] c1=1.0344409618920174, c2=0.03595924162279505 ...................
[CV]  c1=1.0344409618920174, c2=0.03595924162279505, score=0.881935 -   1.4s
[CV] c1=1.0622486857887035, c2=0.09515544465094948 ...................
[CV]  c1=1.0622486857887035, c2=0.09515544465094948, score=0.647349 -   0.9s
[CV] c1=0.923473612129259, c2=0.06860993728413702 ....................
[CV]  c1=0.923473612129259, c2=0.06860993728413702, score=0.652221 -   1.2s
[CV] c1=0.5987950675449116, c2=0.0035132107367418135 .................
[CV]  c1=0.5987950675449116, c2=0.0035132107367418135, score=0.817960 -   1.4s
[CV] c1=0.34771782193614725, c2=0.09131270055999265 ..................
[CV]  c1=0.34771782193614725, c2=0.09131270055999265, score=0.729439 -   1.1s
[CV] c1=0.5864170185853823, c2=0.09676881826036364 ...................
[CV]  c1=0.5864170185853823, c2=0.09676881826036364, score=0.670131 -   1.1s
[CV] c1=0.8253230854049421, c2=0.0005212704277349651 .................
[CV]  c1=0.8253230854049421, c2=0.0005212704277349651, score=0.692971 -   1.4s
[CV] c1=0.4729948108700858, c2=0.009873388129061815 ..................
[CV]  c1=0.4729948108700858, c2=0.009873388129061815, score=0.823631 -   1.4s
[CV] c1=0.7497022582332932, c2=0.02755179929441255 ...................
[CV]  c1=0.7497022582332932, c2=0.02755179929441255, score=0.888932 -   1.4s
[CV] c1=0.037068588325997326, c2=0.051047147451732715 ................
[CV]  c1=0.037068588325997326, c2=0.051047147451732715, score=0.816317 -   1.4s
[CV] c1=0.3994993784221809, c2=0.005971184434859137 ..................
[CV]  c1=0.3994993784221809, c2=0.005971184434859137, score=0.726481 -   1.2s
[CV] c1=0.007262650929554484, c2=0.013140234113938424 ................
[CV]  c1=0.007262650929554484, c2=0.013140234113938424, score=0.839072 -   1.3s
[CV] c1=0.30497194503283903, c2=0.060271291652734496 .................
[CV]  c1=0.30497194503283903, c2=0.060271291652734496, score=0.741327 -   1.1s
[CV] c1=0.42467933555149107, c2=0.05653815714448707 ..................
[CV]  c1=0.42467933555149107, c2=0.05653815714448707, score=0.893260 -   1.3s
[CV] c1=0.07174746366470547, c2=0.009680470330648262 .................
[CV]  c1=0.07174746366470547, c2=0.009680470330648262, score=0.877007 -   1.2s
[CV] c1=1.2509716718041635, c2=0.007723878837726824 ..................
[CV]  c1=1.2509716718041635, c2=0.007723878837726824, score=0.872397 -   1.1s
[CV] c1=0.08935333490939884, c2=0.0891239084994759 ...................
[CV]  c1=0.08935333490939884, c2=0.0891239084994759, score=0.782549 -   1.2s
[CV] c1=0.47696974362051786, c2=0.10174481953980193 ..................
[CV]  c1=0.47696974362051786, c2=0.10174481953980193, score=0.725116 -   1.2s
[CV] c1=0.40611877857779033, c2=0.0014178454456294852 ................
[CV]  c1=0.40611877857779033, c2=0.0014178454456294852, score=0.751112 -   1.1s
[CV] c1=0.15729280683582067, c2=0.0957847906662774 ...................
[CV]  c1=0.15729280683582067, c2=0.0957847906662774, score=0.899854 -   1.5s
[CV] c1=0.9936451031383006, c2=0.059962411451326615 ..................
[CV]  c1=0.9936451031383006, c2=0.059962411451326615, score=0.704530 -   1.5s
[CV] c1=0.21448336808832927, c2=0.012630498794962459 .................
[CV]  c1=0.21448336808832927, c2=0.012630498794962459, score=0.793803 -   1.5s
[CV] c1=0.3078461675646761, c2=0.0048126638573450274 .................
[CV]  c1=0.3078461675646761, c2=0.0048126638573450274, score=0.838995 -   1.5s
[CV] c1=0.37480855332987917, c2=0.04846942518189146 ..................
[CV]  c1=0.37480855332987917, c2=0.04846942518189146, score=0.849652 -   1.6s
[CV] c1=0.7223447703583099, c2=0.058997635061345935 ..................
[CV]  c1=0.7223447703583099, c2=0.058997635061345935, score=0.697770 -   1.5s
[CV] c1=0.5965050880062592, c2=0.044035695297189426 ..................
[CV]  c1=0.5965050880062592, c2=0.044035695297189426, score=0.816158 -   1.5s
[CV] c1=0.42467933555149107, c2=0.05653815714448707 ..................
[CV]  c1=0.42467933555149107, c2=0.05653815714448707, score=0.752974 -   1.4s
[CV] c1=1.0622486857887035, c2=0.09515544465094948 ...................
[CV]  c1=1.0622486857887035, c2=0.09515544465094948, score=0.856182 -   1.0s
[CV] c1=0.02223144329707993, c2=0.01544820908809836 ..................
[CV]  c1=0.02223144329707993, c2=0.01544820908809836, score=0.813970 -   1.5s
[CV] c1=0.5987950675449116, c2=0.0035132107367418135 .................
[CV]  c1=0.5987950675449116, c2=0.0035132107367418135, score=0.880103 -   1.4s
[CV] c1=0.13537421182917211, c2=0.046705764950876805 .................
[CV]  c1=0.13537421182917211, c2=0.046705764950876805, score=0.746345 -   1.2s
[CV] c1=0.030269909906492077, c2=0.044054962165971795 ................
[CV]  c1=0.030269909906492077, c2=0.044054962165971795, score=0.880253 -   1.4s
[CV] c1=1.0350198894175204, c2=0.025786015907696604 ..................
[CV]  c1=1.0350198894175204, c2=0.025786015907696604, score=0.672361 -   1.4s
[CV] c1=0.33885176709768816, c2=0.081882519218754 ....................
[CV]  c1=0.33885176709768816, c2=0.081882519218754, score=0.844545 -   1.4s
[CV] c1=0.7497022582332932, c2=0.02755179929441255 ...................
[CV]  c1=0.7497022582332932, c2=0.02755179929441255, score=0.804911 -   1.5s
[CV] c1=0.16889374405050336, c2=0.027001034542754272 .................
[CV]  c1=0.16889374405050336, c2=0.027001034542754272, score=0.808350 -   1.5s
[CV] c1=0.3994993784221809, c2=0.005971184434859137 ..................
[CV]  c1=0.3994993784221809, c2=0.005971184434859137, score=0.865982 -   1.4s
[CV] c1=0.497849008624245, c2=0.025410030815817143 ...................
[CV]  c1=0.497849008624245, c2=0.025410030815817143, score=0.737424 -   1.2s
[CV] c1=0.19702561446724978, c2=0.09587355947648375 ..................
[CV]  c1=0.19702561446724978, c2=0.09587355947648375, score=0.857185 -   1.3s
[CV] c1=0.35782933358029434, c2=0.030619923987485906 .................
[CV]  c1=0.35782933358029434, c2=0.030619923987485906, score=0.728186 -   1.2s
[CV] c1=1.0622486857887035, c2=0.09515544465094948 ...................
[CV]  c1=1.0622486857887035, c2=0.09515544465094948, score=0.631349 -   1.0s
Training done in: 19.961268s
     Saving training model...
        Saving training model done in: 0.013542s
*********************************
Prediction done in: 0.031613s