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

Go to a project
Toggle navigation Toggle navigation pinning
Switch branch/tag
Run12_v10.txt 73 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 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 
-------------------------------- 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: Run12
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: FalseS4: True
Run variant: 10
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: 0.003727s
-------------------------------- 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       word      :
12    isUpper  False
13    isLower  False
14    isGreek  False
15   isNumber  False
16    -1:word     in
17    +1:word     M9
18     -1:ner      _
19     +1:ner    MED
20     -2:ner      _
21     +2:ner    MED
--------------------------- 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       word  delta-arcA
13    isUpper       False
14    isLower       False
15    isGreek       False
16   isNumber       False
17    -1:word           _
18    +1:word           _
19     -1:ner           _
20     +1:ner           _
21     -2:ner           _
22     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.11083106091336384, c2=0.011046911209500042 .................
[CV]  c1=0.11083106091336384, c2=0.011046911209500042, score=0.835178 -   1.8s
[CV] c1=0.06616177285773818, c2=0.027636781460818473 .................
[CV]  c1=0.06616177285773818, c2=0.027636781460818473, score=0.699142 -   1.3s
[CV] c1=0.9616954492909006, c2=0.18267239234232072 ...................
[CV]  c1=0.9616954492909006, c2=0.18267239234232072, score=0.801705 -   1.6s
[CV] c1=0.44884984278011203, c2=0.04490300684977304 ..................
[CV]  c1=0.44884984278011203, c2=0.04490300684977304, score=0.705022 -   1.4s
[CV] c1=0.6953837720973993, c2=0.04919053100586277 ...................
[CV]  c1=0.6953837720973993, c2=0.04919053100586277, score=0.813854 -   1.7s
[CV] c1=0.4456209013521188, c2=0.13625662407889708 ...................
[CV]  c1=0.4456209013521188, c2=0.13625662407889708, score=0.739865 -   1.3s
[CV] c1=0.7310487099198196, c2=0.002507151993799863 ..................
[CV]  c1=0.7310487099198196, c2=0.002507151993799863, score=0.695970 -   1.7s
[CV] c1=0.07934965199192158, c2=0.04261404828484543 ..................
[CV]  c1=0.07934965199192158, c2=0.04261404828484543, score=0.802156 -   1.7s
[CV] c1=0.631027947968624, c2=0.016488673352136548 ...................
[CV]  c1=0.631027947968624, c2=0.016488673352136548, score=0.860704 -   1.7s
[CV] c1=0.4764646282523361, c2=0.0387100850596715 ....................
[CV]  c1=0.4764646282523361, c2=0.0387100850596715, score=0.740774 -   1.7s
[CV] c1=0.13388061662833867, c2=0.07640822949994511 ..................
[CV]  c1=0.13388061662833867, c2=0.07640822949994511, score=0.847591 -   1.6s
[CV] c1=0.014606226819270336, c2=0.0032895890765964313 ...............
[CV]  c1=0.014606226819270336, c2=0.0032895890765964313, score=0.820758 -   1.7s
[CV] c1=0.14326619776790114, c2=0.004035060618187721 .................
[CV]  c1=0.14326619776790114, c2=0.004035060618187721, score=0.801171 -   1.6s
[CV] c1=0.5270097122815337, c2=0.03672850623443032 ...................
[CV]  c1=0.5270097122815337, c2=0.03672850623443032, score=0.780781 -   1.7s
[CV] c1=0.4480817020201422, c2=0.08526158952201686 ...................
[CV]  c1=0.4480817020201422, c2=0.08526158952201686, score=0.817501 -   1.7s
[CV] c1=0.40951067846285677, c2=0.12329982706011917 ..................
[CV]  c1=0.40951067846285677, c2=0.12329982706011917, score=0.826261 -   1.6s
[CV] c1=0.22420084036464155, c2=0.03225175063047042 ..................
[CV]  c1=0.22420084036464155, c2=0.03225175063047042, score=0.847591 -   1.6s
[CV] c1=0.4456209013521188, c2=0.13625662407889708 ...................
[CV]  c1=0.4456209013521188, c2=0.13625662407889708, score=0.722694 -   1.7s
[CV] c1=0.3786836730983696, c2=0.017866602458293978 ..................
[CV]  c1=0.3786836730983696, c2=0.017866602458293978, score=0.818434 -   1.7s
[CV] c1=0.42607150398916616, c2=0.0018433674924572836 ................
[CV]  c1=0.42607150398916616, c2=0.0018433674924572836, score=0.765676 -   1.7s
[CV] c1=0.4133432407781473, c2=0.015146168070666467 ..................
[CV]  c1=0.4133432407781473, c2=0.015146168070666467, score=0.771047 -   1.9s
[CV] c1=0.06207988140980612, c2=0.20095169993383669 ..................
[CV]  c1=0.06207988140980612, c2=0.20095169993383669, score=0.710543 -   1.4s
[CV] c1=0.08979601520332763, c2=0.001246407304196685 .................
[CV]  c1=0.08979601520332763, c2=0.001246407304196685, score=0.804017 -   1.7s
[CV] c1=0.6652674459722233, c2=0.0035905166025409735 .................
[CV]  c1=0.6652674459722233, c2=0.0035905166025409735, score=0.740168 -   1.3s
[CV] c1=0.23841226915731578, c2=0.03559935031113641 ..................
[CV]  c1=0.23841226915731578, c2=0.03559935031113641, score=0.845339 -   1.7s
[CV] c1=0.2844729638637471, c2=0.14384578404827503 ...................
[CV]  c1=0.2844729638637471, c2=0.14384578404827503, score=0.707664 -   1.4s
[CV] c1=0.4480817020201422, c2=0.08526158952201686 ...................
[CV]  c1=0.4480817020201422, c2=0.08526158952201686, score=0.807392 -   1.6s
[CV] c1=0.0275616779154723, c2=0.09811452293647199 ...................
[CV]  c1=0.0275616779154723, c2=0.09811452293647199, score=0.847591 -   1.6s
[CV] c1=0.6953837720973993, c2=0.04919053100586277 ...................
[CV]  c1=0.6953837720973993, c2=0.04919053100586277, score=0.688566 -   1.7s
[CV] c1=0.36696444431618425, c2=0.003120672835707965 .................
[CV]  c1=0.36696444431618425, c2=0.003120672835707965, score=0.833191 -   1.7s
[CV] c1=0.3786836730983696, c2=0.017866602458293978 ..................
[CV]  c1=0.3786836730983696, c2=0.017866602458293978, score=0.777949 -   1.7s
[CV] c1=0.6667149253016506, c2=0.010535444535484887 ..................
[CV]  c1=0.6667149253016506, c2=0.010535444535484887, score=0.735596 -   1.6s
[CV] c1=0.3118428636704462, c2=0.0054833329094951064 .................
[CV]  c1=0.3118428636704462, c2=0.0054833329094951064, score=0.796632 -   1.7s
[CV] c1=0.2744662448714224, c2=0.11303454401337319 ...................
[CV]  c1=0.2744662448714224, c2=0.11303454401337319, score=0.670749 -   1.5s
[CV] c1=0.08979601520332763, c2=0.001246407304196685 .................
[CV]  c1=0.08979601520332763, c2=0.001246407304196685, score=0.806178 -   1.7s
[CV] c1=0.6652674459722233, c2=0.0035905166025409735 .................
[CV]  c1=0.6652674459722233, c2=0.0035905166025409735, score=0.849551 -   1.6s
[CV] c1=1.9650443339004386, c2=0.016708921329132424 ..................
[CV]  c1=1.9650443339004386, c2=0.016708921329132424, score=0.538534 -   1.6s
[CV] c1=0.13638993865319704, c2=0.038355448983596774 .................
[CV]  c1=0.13638993865319704, c2=0.038355448983596774, score=0.846433 -   1.6s
[CV] c1=0.04427110095223796, c2=0.1421560004531813 ...................
[CV]  c1=0.04427110095223796, c2=0.1421560004531813, score=0.847591 -   1.6s
[CV] c1=0.20498796198128075, c2=0.023626111256684512 .................
[CV]  c1=0.20498796198128075, c2=0.023626111256684512, score=0.847591 -   1.6s
[CV] c1=0.07629789912962252, c2=0.004770760029705087 .................
[CV]  c1=0.07629789912962252, c2=0.004770760029705087, score=0.866442 -   1.7s
[CV] c1=0.2201272945133022, c2=0.024204836714490315 ..................
[CV]  c1=0.2201272945133022, c2=0.024204836714490315, score=0.817948 -   1.8s
[CV] c1=0.374440631223813, c2=0.07176040866171611 ....................
[CV]  c1=0.374440631223813, c2=0.07176040866171611, score=0.819736 -   1.6s
[CV] c1=0.2785576582596558, c2=0.037008736617844144 ..................
[CV]  c1=0.2785576582596558, c2=0.037008736617844144, score=0.831166 -   1.7s
[CV] c1=0.631027947968624, c2=0.016488673352136548 ...................
[CV]  c1=0.631027947968624, c2=0.016488673352136548, score=0.694441 -   1.7s
[CV] c1=0.9590768552538691, c2=0.09278911351875685 ...................
[CV]  c1=0.9590768552538691, c2=0.09278911351875685, score=0.862959 -   1.7s
[CV] c1=0.08979601520332763, c2=0.001246407304196685 .................
[CV]  c1=0.08979601520332763, c2=0.001246407304196685, score=0.762351 -   1.4s
[CV] c1=0.014606226819270336, c2=0.0032895890765964313 ...............
[CV]  c1=0.014606226819270336, c2=0.0032895890765964313, score=0.858099 -   1.7s
[CV] c1=0.26383441179430916, c2=0.016519787750290536 .................
[CV]  c1=0.26383441179430916, c2=0.016519787750290536, score=0.877157 -   1.4s
[CV] c1=0.3425082648208213, c2=0.09310386432562945 ...................
[CV]  c1=0.3425082648208213, c2=0.09310386432562945, score=0.878022 -   1.7s
[CV] c1=0.26558973978932293, c2=0.006842179060336045 .................
[CV]  c1=0.26558973978932293, c2=0.006842179060336045, score=0.785667 -   1.7s
[CV] c1=0.4263584245022001, c2=0.004002528092782009 ..................
[CV]  c1=0.4263584245022001, c2=0.004002528092782009, score=0.813084 -   1.8s
[CV] c1=0.8491399781588902, c2=0.0038494883611620853 .................
[CV]  c1=0.8491399781588902, c2=0.0038494883611620853, score=0.703253 -   1.8s
[CV] c1=0.2201272945133022, c2=0.024204836714490315 ..................
[CV]  c1=0.2201272945133022, c2=0.024204836714490315, score=0.890179 -   1.7s
[CV] c1=0.04793533038765453, c2=0.0996485296339176 ...................
[CV]  c1=0.04793533038765453, c2=0.0996485296339176, score=0.879430 -   1.7s
[CV] c1=0.07934965199192158, c2=0.04261404828484543 ..................
[CV]  c1=0.07934965199192158, c2=0.04261404828484543, score=0.883300 -   1.7s
[CV] c1=0.04165990247332978, c2=0.06228663534647384 ..................
[CV]  c1=0.04165990247332978, c2=0.06228663534647384, score=0.846433 -   1.7s
[CV] c1=1.9735109119891376, c2=0.018754510998783305 ..................
[CV]  c1=1.9735109119891376, c2=0.018754510998783305, score=0.674719 -   1.7s
[CV] c1=0.13388061662833867, c2=0.07640822949994511 ..................
[CV]  c1=0.13388061662833867, c2=0.07640822949994511, score=0.872795 -   1.8s
[CV] c1=0.014606226819270336, c2=0.0032895890765964313 ...............
[CV]  c1=0.014606226819270336, c2=0.0032895890765964313, score=0.846544 -   1.6s
[CV] c1=0.22075722896638814, c2=0.006717806487513099 .................
[CV]  c1=0.22075722896638814, c2=0.006717806487513099, score=0.802727 -   1.7s
[CV] c1=0.1674508603790891, c2=0.12216722648212762 ...................
[CV]  c1=0.1674508603790891, c2=0.12216722648212762, score=0.772393 -   1.7s
[CV] c1=0.0010935538556235485, c2=0.06771405146043179 ................
[CV]  c1=0.0010935538556235485, c2=0.06771405146043179, score=0.857721 -   1.6s
[CV] c1=0.5422529211657697, c2=0.02543176079244562 ...................
[CV]  c1=0.5422529211657697, c2=0.02543176079244562, score=0.747008 -   1.4s
[CV] c1=0.22420084036464155, c2=0.03225175063047042 ..................
[CV]  c1=0.22420084036464155, c2=0.03225175063047042, score=0.820391 -   1.8s
[CV] c1=0.8403834264822172, c2=0.003308204425637173 ..................
[CV]  c1=0.8403834264822172, c2=0.003308204425637173, score=0.799052 -   1.8s
[CV] c1=0.14811562006094964, c2=0.07617324132278668 ..................
[CV]  c1=0.14811562006094964, c2=0.07617324132278668, score=0.875347 -   1.7s
[CV] c1=0.15030815554843324, c2=0.02226800944008174 ..................
[CV]  c1=0.15030815554843324, c2=0.02226800944008174, score=0.875794 -   1.7s
[CV] c1=0.15191721254428456, c2=0.0318414433374712 ...................
[CV]  c1=0.15191721254428456, c2=0.0318414433374712, score=0.884944 -   1.6s
[CV] c1=0.06207988140980612, c2=0.20095169993383669 ..................
[CV]  c1=0.06207988140980612, c2=0.20095169993383669, score=0.868339 -   1.7s
[CV] c1=0.07096235622173495, c2=0.07144538302474196 ..................
[CV]  c1=0.07096235622173495, c2=0.07144538302474196, score=0.709633 -   1.3s
[CV] c1=0.9057157694060957, c2=0.02143636102011329 ...................
[CV]  c1=0.9057157694060957, c2=0.02143636102011329, score=0.724041 -   1.7s
[CV] c1=0.23841226915731578, c2=0.03559935031113641 ..................
[CV]  c1=0.23841226915731578, c2=0.03559935031113641, score=0.677068 -   1.4s
[CV] c1=0.13638993865319704, c2=0.038355448983596774 .................
[CV]  c1=0.13638993865319704, c2=0.038355448983596774, score=0.814533 -   1.7s
[CV] c1=0.4480817020201422, c2=0.08526158952201686 ...................
[CV]  c1=0.4480817020201422, c2=0.08526158952201686, score=0.745908 -   1.7s
[CV] c1=0.40951067846285677, c2=0.12329982706011917 ..................
[CV]  c1=0.40951067846285677, c2=0.12329982706011917, score=0.860250 -   1.7s
[CV] c1=0.22420084036464155, c2=0.03225175063047042 ..................
[CV]  c1=0.22420084036464155, c2=0.03225175063047042, score=0.777486 -   1.7s
[CV] c1=0.4456209013521188, c2=0.13625662407889708 ...................
[CV]  c1=0.4456209013521188, c2=0.13625662407889708, score=0.798914 -   1.7s
[CV] c1=1.733347442840721, c2=0.0015899858912783082 ..................
[CV]  c1=1.733347442840721, c2=0.0015899858912783082, score=0.566293 -   1.3s
[CV] c1=0.2785576582596558, c2=0.037008736617844144 ..................
[CV]  c1=0.2785576582596558, c2=0.037008736617844144, score=0.823110 -   1.7s
[CV] c1=0.3118428636704462, c2=0.0054833329094951064 .................
[CV]  c1=0.3118428636704462, c2=0.0054833329094951064, score=0.781984 -   1.7s
[CV] c1=0.9590768552538691, c2=0.09278911351875685 ...................
[CV]  c1=0.9590768552538691, c2=0.09278911351875685, score=0.685539 -   1.8s
[CV] c1=0.06486237464353134, c2=0.012694605657916006 .................
[CV]  c1=0.06486237464353134, c2=0.012694605657916006, score=0.717168 -   1.3s
[CV] c1=0.014606226819270336, c2=0.0032895890765964313 ...............
[CV]  c1=0.014606226819270336, c2=0.0032895890765964313, score=0.839293 -   1.7s
[CV] c1=0.6817900284358976, c2=0.03387075418539954 ...................
[CV]  c1=0.6817900284358976, c2=0.03387075418539954, score=0.787144 -   1.7s
[CV] c1=0.5270097122815337, c2=0.03672850623443032 ...................
[CV]  c1=0.5270097122815337, c2=0.03672850623443032, score=0.793822 -   1.3s
[CV] c1=0.6045737881828117, c2=0.024987908473098216 ..................
[CV]  c1=0.6045737881828117, c2=0.024987908473098216, score=0.708369 -   1.7s
[CV] c1=0.20498796198128075, c2=0.023626111256684512 .................
[CV]  c1=0.20498796198128075, c2=0.023626111256684512, score=0.784654 -   1.8s
[CV] c1=0.6953837720973993, c2=0.04919053100586277 ...................
[CV]  c1=0.6953837720973993, c2=0.04919053100586277, score=0.865306 -   1.7s
[CV] c1=0.36696444431618425, c2=0.003120672835707965 .................
[CV]  c1=0.36696444431618425, c2=0.003120672835707965, score=0.785139 -   1.7s
[CV] c1=0.3786836730983696, c2=0.017866602458293978 ..................
[CV]  c1=0.3786836730983696, c2=0.017866602458293978, score=0.871452 -   1.7s
[CV] c1=0.6667149253016506, c2=0.010535444535484887 ..................
[CV]  c1=0.6667149253016506, c2=0.010535444535484887, score=0.701473 -   1.8s
[CV] c1=0.4133432407781473, c2=0.015146168070666467 ..................
[CV]  c1=0.4133432407781473, c2=0.015146168070666467, score=0.872160 -   1.6s
[CV] c1=0.9590768552538691, c2=0.09278911351875685 ...................
[CV]  c1=0.9590768552538691, c2=0.09278911351875685, score=0.657852 -   2.0s
[CV] c1=0.07096235622173495, c2=0.07144538302474196 ..................
[CV]  c1=0.07096235622173495, c2=0.07144538302474196, score=0.894358 -   1.6s
[CV] c1=0.6496765025318411, c2=0.238169224828183 .....................
[CV]  c1=0.6496765025318411, c2=0.238169224828183, score=0.878393 -   1.6s
[CV] c1=0.43129324141077957, c2=0.03193189112823024 ..................
[CV]  c1=0.43129324141077957, c2=0.03193189112823024, score=0.825049 -   1.4s
[CV] c1=0.3425082648208213, c2=0.09310386432562945 ...................
[CV]  c1=0.3425082648208213, c2=0.09310386432562945, score=0.756495 -   1.7s
[CV] c1=0.6045737881828117, c2=0.024987908473098216 ..................
[CV]  c1=0.6045737881828117, c2=0.024987908473098216, score=0.869392 -   1.7s
[CV] c1=1.1610154116879525, c2=0.2292989518529306 ....................
[CV]  c1=1.1610154116879525, c2=0.2292989518529306, score=0.645275 -   1.9s
[CV] c1=0.07629789912962252, c2=0.004770760029705087 .................
[CV]  c1=0.07629789912962252, c2=0.004770760029705087, score=0.794010 -   1.8s
[CV] c1=0.36696444431618425, c2=0.003120672835707965 .................
[CV]  c1=0.36696444431618425, c2=0.003120672835707965, score=0.717597 -   1.5s
[CV] c1=0.04793533038765453, c2=0.0996485296339176 ...................
[CV]  c1=0.04793533038765453, c2=0.0996485296339176, score=0.819500 -   1.7s
[CV] c1=0.2785576582596558, c2=0.037008736617844144 ..................
[CV]  c1=0.2785576582596558, c2=0.037008736617844144, score=0.887768 -   1.8s
[CV] c1=0.631027947968624, c2=0.016488673352136548 ...................
[CV]  c1=0.631027947968624, c2=0.016488673352136548, score=0.771816 -   1.8s
[CV] c1=0.9590768552538691, c2=0.09278911351875685 ...................
[CV]  c1=0.9590768552538691, c2=0.09278911351875685, score=0.801009 -   1.6s
[CV] c1=0.08979601520332763, c2=0.001246407304196685 .................
[CV]  c1=0.08979601520332763, c2=0.001246407304196685, score=0.851461 -   1.6s
[CV] c1=0.9057157694060957, c2=0.02143636102011329 ...................
[CV]  c1=0.9057157694060957, c2=0.02143636102011329, score=0.798606 -   1.7s
[CV] c1=0.6817900284358976, c2=0.03387075418539954 ...................
[CV]  c1=0.6817900284358976, c2=0.03387075418539954, score=0.698555 -   1.8s
[CV] c1=0.5270097122815337, c2=0.03672850623443032 ...................
[CV]  c1=0.5270097122815337, c2=0.03672850623443032, score=0.803991 -   1.6s
[CV] c1=0.4480817020201422, c2=0.08526158952201686 ...................
[CV]  c1=0.4480817020201422, c2=0.08526158952201686, score=0.682397 -   1.4s
[CV] c1=0.20498796198128075, c2=0.023626111256684512 .................
[CV]  c1=0.20498796198128075, c2=0.023626111256684512, score=0.874639 -   1.7s
[CV] c1=0.8491399781588902, c2=0.0038494883611620853 .................
[CV]  c1=0.8491399781588902, c2=0.0038494883611620853, score=0.727344 -   1.8s
[CV] c1=0.2201272945133022, c2=0.024204836714490315 ..................
[CV]  c1=0.2201272945133022, c2=0.024204836714490315, score=0.842229 -   1.7s
[CV] c1=0.04793533038765453, c2=0.0996485296339176 ...................
[CV]  c1=0.04793533038765453, c2=0.0996485296339176, score=0.847591 -   1.7s
[CV] c1=0.07934965199192158, c2=0.04261404828484543 ..................
[CV]  c1=0.07934965199192158, c2=0.04261404828484543, score=0.807114 -   1.8s
[CV] c1=0.631027947968624, c2=0.016488673352136548 ...................
[CV]  c1=0.631027947968624, c2=0.016488673352136548, score=0.795993 -   1.5s
[CV] c1=0.4764646282523361, c2=0.0387100850596715 ....................
[CV]  c1=0.4764646282523361, c2=0.0387100850596715, score=0.869742 -   1.7s
[CV] c1=0.13388061662833867, c2=0.07640822949994511 ..................
[CV]  c1=0.13388061662833867, c2=0.07640822949994511, score=0.779027 -   1.7s
[CV] c1=0.9057157694060957, c2=0.02143636102011329 ...................
[CV]  c1=0.9057157694060957, c2=0.02143636102011329, score=0.865306 -   1.6s
[CV] c1=0.22075722896638814, c2=0.006717806487513099 .................
[CV]  c1=0.22075722896638814, c2=0.006717806487513099, score=0.873681 -   1.7s
[CV] c1=0.2844729638637471, c2=0.14384578404827503 ...................
[CV]  c1=0.2844729638637471, c2=0.14384578404827503, score=0.878533 -   1.6s
[CV] c1=0.46152222053325964, c2=0.009403070304122083 .................
[CV]  c1=0.46152222053325964, c2=0.009403070304122083, score=0.799722 -   1.7s
[CV] c1=0.44884984278011203, c2=0.04490300684977304 ..................
[CV]  c1=0.44884984278011203, c2=0.04490300684977304, score=0.758019 -   1.7s
[CV] c1=0.1580775984464407, c2=0.006882626094853958 ..................
[CV]  c1=0.1580775984464407, c2=0.006882626094853958, score=0.863109 -   1.7s
[CV] c1=0.8403834264822172, c2=0.003308204425637173 ..................
[CV]  c1=0.8403834264822172, c2=0.003308204425637173, score=0.770456 -   1.8s
[CV] c1=0.14811562006094964, c2=0.07617324132278668 ..................
[CV]  c1=0.14811562006094964, c2=0.07617324132278668, score=0.681847 -   1.4s
[CV] c1=0.42607150398916616, c2=0.0018433674924572836 ................
[CV]  c1=0.42607150398916616, c2=0.0018433674924572836, score=0.867777 -   1.7s
[CV] c1=0.4133432407781473, c2=0.015146168070666467 ..................
[CV]  c1=0.4133432407781473, c2=0.015146168070666467, score=0.704292 -   1.4s
[CV] c1=0.4764646282523361, c2=0.0387100850596715 ....................
[CV]  c1=0.4764646282523361, c2=0.0387100850596715, score=0.799456 -   1.8s
[CV] c1=0.08979601520332763, c2=0.001246407304196685 .................
[CV]  c1=0.08979601520332763, c2=0.001246407304196685, score=0.865097 -   1.7s
[CV] c1=0.9057157694060957, c2=0.02143636102011329 ...................
[CV]  c1=0.9057157694060957, c2=0.02143636102011329, score=0.689296 -   1.7s
[CV] c1=0.23841226915731578, c2=0.03559935031113641 ..................
[CV]  c1=0.23841226915731578, c2=0.03559935031113641, score=0.883385 -   1.7s
[CV] c1=0.3466227285134773, c2=0.09864310650410704 ...................
[CV]  c1=0.3466227285134773, c2=0.09864310650410704, score=0.669414 -   1.4s
[CV] c1=0.04427110095223796, c2=0.1421560004531813 ...................
[CV]  c1=0.04427110095223796, c2=0.1421560004531813, score=0.795674 -   1.7s
[CV] c1=0.0275616779154723, c2=0.09811452293647199 ...................
[CV]  c1=0.0275616779154723, c2=0.09811452293647199, score=0.821833 -   1.7s
[CV] c1=0.22420084036464155, c2=0.03225175063047042 ..................
[CV]  c1=0.22420084036464155, c2=0.03225175063047042, score=0.882220 -   1.7s
[CV] c1=0.4456209013521188, c2=0.13625662407889708 ...................
[CV]  c1=0.4456209013521188, c2=0.13625662407889708, score=0.813917 -   1.7s
[CV] c1=0.3786836730983696, c2=0.017866602458293978 ..................
[CV]  c1=0.3786836730983696, c2=0.017866602458293978, score=0.826864 -   1.6s
[CV] c1=0.6667149253016506, c2=0.010535444535484887 ..................
[CV]  c1=0.6667149253016506, c2=0.010535444535484887, score=0.783030 -   1.6s
[CV] c1=0.3118428636704462, c2=0.0054833329094951064 .................
[CV]  c1=0.3118428636704462, c2=0.0054833329094951064, score=0.829247 -   1.8s
[CV] c1=0.2744662448714224, c2=0.11303454401337319 ...................
[CV]  c1=0.2744662448714224, c2=0.11303454401337319, score=0.755762 -   1.8s
[CV] c1=0.06486237464353134, c2=0.012694605657916006 .................
[CV]  c1=0.06486237464353134, c2=0.012694605657916006, score=0.793728 -   1.7s
[CV] c1=0.6496765025318411, c2=0.238169224828183 .....................
[CV]  c1=0.6496765025318411, c2=0.238169224828183, score=0.677505 -   1.5s
[CV] c1=0.11083106091336384, c2=0.011046911209500042 .................
[CV]  c1=0.11083106091336384, c2=0.011046911209500042, score=0.773684 -   1.4s
[CV] c1=0.3466227285134773, c2=0.09864310650410704 ...................
[CV]  c1=0.3466227285134773, c2=0.09864310650410704, score=0.754244 -   1.8s
[CV] c1=0.9616954492909006, c2=0.18267239234232072 ...................
[CV]  c1=0.9616954492909006, c2=0.18267239234232072, score=0.652117 -   1.7s
[CV] c1=0.44884984278011203, c2=0.04490300684977304 ..................
[CV]  c1=0.44884984278011203, c2=0.04490300684977304, score=0.806141 -   1.8s
[CV] c1=0.1580775984464407, c2=0.006882626094853958 ..................
[CV]  c1=0.1580775984464407, c2=0.006882626094853958, score=0.795360 -   1.7s
[CV] c1=0.6180583978101375, c2=0.042768320481873776 ..................
[CV]  c1=0.6180583978101375, c2=0.042768320481873776, score=0.799018 -   1.7s
[CV] c1=0.14811562006094964, c2=0.07617324132278668 ..................
[CV]  c1=0.14811562006094964, c2=0.07617324132278668, score=0.847591 -   1.6s
[CV] c1=0.15030815554843324, c2=0.02226800944008174 ..................
[CV]  c1=0.15030815554843324, c2=0.02226800944008174, score=0.788429 -   1.7s
[CV] c1=0.15191721254428456, c2=0.0318414433374712 ...................
[CV]  c1=0.15191721254428456, c2=0.0318414433374712, score=0.803065 -   1.7s
[CV] c1=0.06207988140980612, c2=0.20095169993383669 ..................
[CV]  c1=0.06207988140980612, c2=0.20095169993383669, score=0.817561 -   1.6s
[CV] c1=0.07096235622173495, c2=0.07144538302474196 ..................
[CV]  c1=0.07096235622173495, c2=0.07144538302474196, score=0.847591 -   1.6s
[CV] c1=0.6496765025318411, c2=0.238169224828183 .....................
[CV]  c1=0.6496765025318411, c2=0.238169224828183, score=0.805212 -   1.4s
[CV] c1=0.11083106091336384, c2=0.011046911209500042 .................
[CV]  c1=0.11083106091336384, c2=0.011046911209500042, score=0.880191 -   1.6s
[CV] c1=0.2844729638637471, c2=0.14384578404827503 ...................
[CV]  c1=0.2844729638637471, c2=0.14384578404827503, score=0.836250 -   1.6s
[CV] c1=0.9616954492909006, c2=0.18267239234232072 ...................
[CV]  c1=0.9616954492909006, c2=0.18267239234232072, score=0.641204 -   1.8s
[CV] c1=0.5422529211657697, c2=0.02543176079244562 ...................
[CV]  c1=0.5422529211657697, c2=0.02543176079244562, score=0.817584 -   1.5s
[CV] c1=0.1580775984464407, c2=0.006882626094853958 ..................
[CV]  c1=0.1580775984464407, c2=0.006882626094853958, score=0.766899 -   1.4s
[CV] c1=0.8403834264822172, c2=0.003308204425637173 ..................
[CV]  c1=0.8403834264822172, c2=0.003308204425637173, score=0.865306 -   1.7s
[CV] c1=1.733347442840721, c2=0.0015899858912783082 ..................
[CV]  c1=1.733347442840721, c2=0.0015899858912783082, score=0.783982 -   1.7s
[CV] c1=0.42607150398916616, c2=0.0018433674924572836 ................
[CV]  c1=0.42607150398916616, c2=0.0018433674924572836, score=0.706299 -   1.3s
[CV] c1=0.631027947968624, c2=0.016488673352136548 ...................
[CV]  c1=0.631027947968624, c2=0.016488673352136548, score=0.747697 -   1.4s
[CV] c1=0.9105417883404512, c2=0.23007425521626668 ...................
[CV]  c1=0.9105417883404512, c2=0.23007425521626668, score=0.675175 -   1.7s
[CV] c1=0.2584821989578059, c2=0.023016106911738853 ..................
[CV]  c1=0.2584821989578059, c2=0.023016106911738853, score=0.788962 -   1.7s
[CV] c1=0.3934372852791336, c2=0.04515320668513248 ...................
[CV]  c1=0.3934372852791336, c2=0.04515320668513248, score=0.836963 -   1.7s
[CV] c1=0.6817900284358976, c2=0.03387075418539954 ...................
[CV]  c1=0.6817900284358976, c2=0.03387075418539954, score=0.804336 -   1.5s
[CV] c1=0.13638993865319704, c2=0.038355448983596774 .................
[CV]  c1=0.13638993865319704, c2=0.038355448983596774, score=0.883473 -   1.7s
[CV] c1=0.04427110095223796, c2=0.1421560004531813 ...................
[CV]  c1=0.04427110095223796, c2=0.1421560004531813, score=0.883300 -   1.7s
[CV] c1=0.20498796198128075, c2=0.023626111256684512 .................
[CV]  c1=0.20498796198128075, c2=0.023626111256684512, score=0.750477 -   1.4s
[CV] c1=0.15223617538827808, c2=0.006973812868747213 .................
[CV]  c1=0.15223617538827808, c2=0.006973812868747213, score=0.811875 -   1.6s
[CV] c1=0.4307500336472987, c2=0.010168262490418736 ..................
[CV]  c1=0.4307500336472987, c2=0.010168262490418736, score=0.873840 -   1.7s
[CV] c1=0.7310487099198196, c2=0.002507151993799863 ..................
[CV]  c1=0.7310487099198196, c2=0.002507151993799863, score=0.701996 -   1.8s
[CV] c1=0.07934965199192158, c2=0.04261404828484543 ..................
[CV]  c1=0.07934965199192158, c2=0.04261404828484543, score=0.696640 -   1.4s
[CV] c1=1.4198605963458062, c2=0.014207242583386601 ..................
[CV]  c1=1.4198605963458062, c2=0.014207242583386601, score=0.820366 -   1.7s
[CV] c1=0.9105417883404512, c2=0.23007425521626668 ...................
[CV]  c1=0.9105417883404512, c2=0.23007425521626668, score=0.654982 -   1.7s
[CV] c1=0.33928613127292334, c2=0.016500176074770192 .................
[CV]  c1=0.33928613127292334, c2=0.016500176074770192, score=0.815990 -   1.7s
[CV] c1=0.3934372852791336, c2=0.04515320668513248 ...................
[CV]  c1=0.3934372852791336, c2=0.04515320668513248, score=0.760798 -   1.9s
[CV] c1=0.6817900284358976, c2=0.03387075418539954 ...................
[CV]  c1=0.6817900284358976, c2=0.03387075418539954, score=0.669052 -   1.3s
[CV] c1=0.3425082648208213, c2=0.09310386432562945 ...................
[CV]  c1=0.3425082648208213, c2=0.09310386432562945, score=0.787487 -   1.8s
[CV] c1=0.6045737881828117, c2=0.024987908473098216 ..................
[CV]  c1=0.6045737881828117, c2=0.024987908473098216, score=0.721593 -   1.7s
[CV] c1=1.1610154116879525, c2=0.2292989518529306 ....................
[CV]  c1=1.1610154116879525, c2=0.2292989518529306, score=0.747266 -   1.8s
[CV] c1=0.07629789912962252, c2=0.004770760029705087 .................
[CV]  c1=0.07629789912962252, c2=0.004770760029705087, score=0.764742 -   1.4s
[CV] c1=0.4307500336472987, c2=0.010168262490418736 ..................
[CV]  c1=0.4307500336472987, c2=0.010168262490418736, score=0.715151 -   1.4s
[CV] c1=0.3220647758630333, c2=0.009948424148252866 ..................
[CV]  c1=0.3220647758630333, c2=0.009948424148252866, score=0.811243 -   1.7s
[CV] c1=0.20794165864657813, c2=0.17067639948294686 ..................
[CV]  c1=0.20794165864657813, c2=0.17067639948294686, score=0.677842 -   1.4s
[CV] c1=0.15030815554843324, c2=0.02226800944008174 ..................
[CV]  c1=0.15030815554843324, c2=0.02226800944008174, score=0.846433 -   1.7s
[CV] c1=0.15191721254428456, c2=0.0318414433374712 ...................
[CV]  c1=0.15191721254428456, c2=0.0318414433374712, score=0.811875 -   1.8s
[CV] c1=0.1664493529372724, c2=0.0983147012892039 ....................
[CV]  c1=0.1664493529372724, c2=0.0983147012892039, score=0.690544 -   1.3s
[CV] c1=0.06486237464353134, c2=0.012694605657916006 .................
[CV]  c1=0.06486237464353134, c2=0.012694605657916006, score=0.836444 -   1.6s
[CV] c1=0.6652674459722233, c2=0.0035905166025409735 .................
[CV]  c1=0.6652674459722233, c2=0.0035905166025409735, score=0.806368 -   1.7s
[CV] c1=0.26383441179430916, c2=0.016519787750290536 .................
[CV]  c1=0.26383441179430916, c2=0.016519787750290536, score=0.709884 -   0.9s
[CV] c1=0.07716043851694744, c2=0.00804866111290982 ..................
[CV]  c1=0.07716043851694744, c2=0.00804866111290982, score=0.860953 -   1.7s
[CV] c1=0.1674508603790891, c2=0.12216722648212762 ...................
[CV]  c1=0.1674508603790891, c2=0.12216722648212762, score=0.790144 -   1.8s
[CV] c1=0.027587593768987218, c2=0.04304963544118648 .................
[CV]  c1=0.027587593768987218, c2=0.04304963544118648, score=0.699288 -   1.4s
[CV] c1=0.5422529211657697, c2=0.02543176079244562 ...................
[CV]  c1=0.5422529211657697, c2=0.02543176079244562, score=0.879106 -   1.8s
[CV] c1=0.1580775984464407, c2=0.006882626094853958 ..................
[CV]  c1=0.1580775984464407, c2=0.006882626094853958, score=0.840096 -   1.6s
[CV] c1=0.6180583978101375, c2=0.042768320481873776 ..................
[CV]  c1=0.6180583978101375, c2=0.042768320481873776, score=0.783030 -   1.8s
[CV] c1=0.11851860455250864, c2=0.002595393227239295 .................
[CV]  c1=0.11851860455250864, c2=0.002595393227239295, score=0.872948 -   1.7s
[CV] c1=0.35118614208942905, c2=0.1314146888502144 ...................
[CV]  c1=0.35118614208942905, c2=0.1314146888502144, score=0.670749 -   1.5s
[CV] c1=0.15191721254428456, c2=0.0318414433374712 ...................
[CV]  c1=0.15191721254428456, c2=0.0318414433374712, score=0.716660 -   1.4s
[CV] c1=0.2744662448714224, c2=0.11303454401337319 ...................
[CV]  c1=0.2744662448714224, c2=0.11303454401337319, score=0.877397 -   1.7s
[CV] c1=0.06486237464353134, c2=0.012694605657916006 .................
[CV]  c1=0.06486237464353134, c2=0.012694605657916006, score=0.866636 -   1.6s
[CV] c1=0.6652674459722233, c2=0.0035905166025409735 .................
[CV]  c1=0.6652674459722233, c2=0.0035905166025409735, score=0.694380 -   1.7s
[CV] c1=0.26383441179430916, c2=0.016519787750290536 .................
[CV]  c1=0.26383441179430916, c2=0.016519787750290536, score=0.840674 -   1.3s
[CV] c1=0.07716043851694744, c2=0.00804866111290982 ..................
[CV]  c1=0.07716043851694744, c2=0.00804866111290982, score=0.728312 -   1.4s
[CV] c1=0.06616177285773818, c2=0.027636781460818473 .................
[CV]  c1=0.06616177285773818, c2=0.027636781460818473, score=0.868157 -   1.6s
[CV] c1=0.0010935538556235485, c2=0.06771405146043179 ................
[CV]  c1=0.0010935538556235485, c2=0.06771405146043179, score=0.843908 -   1.7s
[CV] c1=0.38450098647710973, c2=0.040757612583088076 .................
[CV]  c1=0.38450098647710973, c2=0.040757612583088076, score=0.871540 -   1.8s
[CV] c1=0.02648295692567047, c2=0.04239713745599504 ..................
[CV]  c1=0.02648295692567047, c2=0.04239713745599504, score=0.828322 -   1.8s
[CV] c1=0.4849319720168695, c2=0.04192651038748931 ...................
[CV]  c1=0.4849319720168695, c2=0.04192651038748931, score=0.866240 -   1.6s
[CV] c1=0.20794165864657813, c2=0.17067639948294686 ..................
[CV]  c1=0.20794165864657813, c2=0.17067639948294686, score=0.866940 -   1.8s
[CV] c1=0.20799671981917292, c2=0.02405771239895315 ..................
[CV]  c1=0.20799671981917292, c2=0.02405771239895315, score=0.832940 -   1.6s
[CV] c1=0.9539057901981437, c2=0.007949359042353842 ..................
[CV]  c1=0.9539057901981437, c2=0.007949359042353842, score=0.790796 -   1.8s
[CV] c1=0.33928613127292334, c2=0.016500176074770192 .................
[CV]  c1=0.33928613127292334, c2=0.016500176074770192, score=0.710631 -   1.4s
[CV] c1=1.0613854635176792, c2=0.03562053456556115 ...................
[CV]  c1=1.0613854635176792, c2=0.03562053456556115, score=0.622758 -   1.4s
[CV] c1=0.3678712380282221, c2=0.12319322823825574 ...................
[CV]  c1=0.3678712380282221, c2=0.12319322823825574, score=0.682397 -   1.4s
[CV] c1=0.22075722896638814, c2=0.006717806487513099 .................
[CV]  c1=0.22075722896638814, c2=0.006717806487513099, score=0.842229 -   1.7s
[CV] c1=0.1674508603790891, c2=0.12216722648212762 ...................
[CV]  c1=0.1674508603790891, c2=0.12216722648212762, score=0.701145 -   1.4s
[CV] c1=0.46152222053325964, c2=0.009403070304122083 .................
[CV]  c1=0.46152222053325964, c2=0.009403070304122083, score=0.823017 -   1.8s
[CV] c1=0.44884984278011203, c2=0.04490300684977304 ..................
[CV]  c1=0.44884984278011203, c2=0.04490300684977304, score=0.819736 -   1.6s
[CV] c1=0.4066664356106763, c2=0.10080943204496445 ...................
[CV]  c1=0.4066664356106763, c2=0.10080943204496445, score=0.818511 -   1.6s
[CV] c1=0.8403834264822172, c2=0.003308204425637173 ..................
[CV]  c1=0.8403834264822172, c2=0.003308204425637173, score=0.685914 -   2.2s
[CV] c1=0.11851860455250864, c2=0.002595393227239295 .................
[CV]  c1=0.11851860455250864, c2=0.002595393227239295, score=0.841641 -   1.6s
[CV] c1=0.35118614208942905, c2=0.1314146888502144 ...................
[CV]  c1=0.35118614208942905, c2=0.1314146888502144, score=0.762561 -   1.7s
[CV] c1=0.9539057901981437, c2=0.007949359042353842 ..................
[CV]  c1=0.9539057901981437, c2=0.007949359042353842, score=0.857833 -   1.6s
[CV] c1=0.027555162653294985, c2=0.01951073181314627 .................
[CV]  c1=0.027555162653294985, c2=0.01951073181314627, score=0.875538 -   1.7s
[CV] c1=1.0613854635176792, c2=0.03562053456556115 ...................
[CV]  c1=1.0613854635176792, c2=0.03562053456556115, score=0.836478 -   1.7s
[CV] c1=0.06632102351985615, c2=0.08453926504092035 ..................
[CV]  c1=0.06632102351985615, c2=0.08453926504092035, score=0.717536 -   1.1s
[CV] c1=0.22075722896638814, c2=0.006717806487513099 .................
[CV]  c1=0.22075722896638814, c2=0.006717806487513099, score=0.789150 -   1.7s
[CV] c1=0.2844729638637471, c2=0.14384578404827503 ...................
[CV]  c1=0.2844729638637471, c2=0.14384578404827503, score=0.781415 -   1.8s
[CV] c1=0.0010935538556235485, c2=0.06771405146043179 ................
[CV]  c1=0.0010935538556235485, c2=0.06771405146043179, score=0.819353 -   1.7s
[CV] c1=0.5422529211657697, c2=0.02543176079244562 ...................
[CV]  c1=0.5422529211657697, c2=0.02543176079244562, score=0.789791 -   1.7s
[CV] c1=0.1580775984464407, c2=0.006882626094853958 ..................
[CV]  c1=0.1580775984464407, c2=0.006882626094853958, score=0.831594 -   1.8s
[CV] c1=0.3220647758630333, c2=0.009948424148252866 ..................
[CV]  c1=0.3220647758630333, c2=0.009948424148252866, score=0.776384 -   1.7s
[CV] c1=0.11851860455250864, c2=0.002595393227239295 .................
[CV]  c1=0.11851860455250864, c2=0.002595393227239295, score=0.800112 -   1.7s
[CV] c1=0.35118614208942905, c2=0.1314146888502144 ...................
[CV]  c1=0.35118614208942905, c2=0.1314146888502144, score=0.817572 -   1.7s
[CV] c1=0.15024868994680451, c2=0.10204034496181141 ..................
[CV]  c1=0.15024868994680451, c2=0.10204034496181141, score=0.784072 -   1.7s
[CV] c1=0.027555162653294985, c2=0.01951073181314627 .................
[CV]  c1=0.027555162653294985, c2=0.01951073181314627, score=0.709676 -   1.3s
[CV] c1=0.40426006785830715, c2=0.018313372124613685 .................
[CV]  c1=0.40426006785830715, c2=0.018313372124613685, score=0.875662 -   1.7s
[CV] c1=0.3678712380282221, c2=0.12319322823825574 ...................
[CV]  c1=0.3678712380282221, c2=0.12319322823825574, score=0.867494 -   1.5s
[CV] c1=0.23841226915731578, c2=0.03559935031113641 ..................
[CV]  c1=0.23841226915731578, c2=0.03559935031113641, score=0.811875 -   1.7s
[CV] c1=0.2844729638637471, c2=0.14384578404827503 ...................
[CV]  c1=0.2844729638637471, c2=0.14384578404827503, score=0.763940 -   1.7s
[CV] c1=0.0010935538556235485, c2=0.06771405146043179 ................
[CV]  c1=0.0010935538556235485, c2=0.06771405146043179, score=0.894215 -   1.7s
[CV] c1=0.5422529211657697, c2=0.02543176079244562 ...................
[CV]  c1=0.5422529211657697, c2=0.02543176079244562, score=0.719533 -   2.0s
[CV] c1=0.02648295692567047, c2=0.04239713745599504 ..................
[CV]  c1=0.02648295692567047, c2=0.04239713745599504, score=0.852325 -   1.6s
[CV] c1=0.3220647758630333, c2=0.009948424148252866 ..................
[CV]  c1=0.3220647758630333, c2=0.009948424148252866, score=0.709959 -   1.4s
[CV] c1=1.733347442840721, c2=0.0015899858912783082 ..................
[CV]  c1=1.733347442840721, c2=0.0015899858912783082, score=0.715754 -   1.7s
[CV] c1=0.42607150398916616, c2=0.0018433674924572836 ................
[CV]  c1=0.42607150398916616, c2=0.0018433674924572836, score=0.800240 -   1.9s
[CV] c1=0.15191721254428456, c2=0.0318414433374712 ...................
[CV]  c1=0.15191721254428456, c2=0.0318414433374712, score=0.852219 -   1.6s
[CV] c1=0.06207988140980612, c2=0.20095169993383669 ..................
[CV]  c1=0.06207988140980612, c2=0.20095169993383669, score=0.793266 -   1.7s
[CV] c1=0.40426006785830715, c2=0.018313372124613685 .................
[CV]  c1=0.40426006785830715, c2=0.018313372124613685, score=0.713345 -   1.4s
[CV] c1=0.6496765025318411, c2=0.238169224828183 .....................
[CV]  c1=0.6496765025318411, c2=0.238169224828183, score=0.615576 -   1.4s
[CV] c1=0.11083106091336384, c2=0.011046911209500042 .................
[CV]  c1=0.11083106091336384, c2=0.011046911209500042, score=0.798271 -   1.8s
[CV] c1=0.1674508603790891, c2=0.12216722648212762 ...................
[CV]  c1=0.1674508603790891, c2=0.12216722648212762, score=0.841458 -   1.8s
[CV] c1=0.027587593768987218, c2=0.04304963544118648 .................
[CV]  c1=0.027587593768987218, c2=0.04304963544118648, score=0.879840 -   1.7s
[CV] c1=0.38450098647710973, c2=0.040757612583088076 .................
[CV]  c1=0.38450098647710973, c2=0.040757612583088076, score=0.706299 -   1.3s
[CV] c1=0.4066664356106763, c2=0.10080943204496445 ...................
[CV]  c1=0.4066664356106763, c2=0.10080943204496445, score=0.814348 -   1.7s
[CV] c1=0.6180583978101375, c2=0.042768320481873776 ..................
[CV]  c1=0.6180583978101375, c2=0.042768320481873776, score=0.703223 -   1.5s
[CV] c1=1.733347442840721, c2=0.0015899858912783082 ..................
[CV]  c1=1.733347442840721, c2=0.0015899858912783082, score=0.608601 -   1.7s
[CV] c1=0.42607150398916616, c2=0.0018433674924572836 ................
[CV]  c1=0.42607150398916616, c2=0.0018433674924572836, score=0.825517 -   1.6s
[CV] c1=0.4133432407781473, c2=0.015146168070666467 ..................
[CV]  c1=0.4133432407781473, c2=0.015146168070666467, score=0.832528 -   1.8s
[CV] c1=0.2744662448714224, c2=0.11303454401337319 ...................
[CV]  c1=0.2744662448714224, c2=0.11303454401337319, score=0.841458 -   1.6s
[CV] c1=0.06486237464353134, c2=0.012694605657916006 .................
[CV]  c1=0.06486237464353134, c2=0.012694605657916006, score=0.804260 -   1.7s
[CV] c1=0.6652674459722233, c2=0.0035905166025409735 .................
[CV]  c1=0.6652674459722233, c2=0.0035905166025409735, score=0.778305 -   1.7s
[CV] c1=0.14326619776790114, c2=0.004035060618187721 .................
[CV]  c1=0.14326619776790114, c2=0.004035060618187721, score=0.793425 -   1.7s
[CV] c1=0.3466227285134773, c2=0.09864310650410704 ...................
[CV]  c1=0.3466227285134773, c2=0.09864310650410704, score=0.879515 -   1.7s
[CV] c1=0.46152222053325964, c2=0.009403070304122083 .................
[CV]  c1=0.46152222053325964, c2=0.009403070304122083, score=0.874225 -   1.6s
[CV] c1=0.40951067846285677, c2=0.12329982706011917 ..................
[CV]  c1=0.40951067846285677, c2=0.12329982706011917, score=0.682397 -   1.4s
[CV] c1=0.07629789912962252, c2=0.004770760029705087 .................
[CV]  c1=0.07629789912962252, c2=0.004770760029705087, score=0.858469 -   1.6s
[CV] c1=0.2201272945133022, c2=0.024204836714490315 ..................
[CV]  c1=0.2201272945133022, c2=0.024204836714490315, score=0.740320 -   1.4s
[CV] c1=0.7310487099198196, c2=0.002507151993799863 ..................
[CV]  c1=0.7310487099198196, c2=0.002507151993799863, score=0.865306 -   1.7s
[CV] c1=0.861075784508034, c2=0.10045368852796835 ....................
[CV]  c1=0.861075784508034, c2=0.10045368852796835, score=0.867150 -   1.7s
[CV] c1=1.4198605963458062, c2=0.014207242583386601 ..................
[CV]  c1=1.4198605963458062, c2=0.014207242583386601, score=0.627759 -   1.9s
[CV] c1=1.9735109119891376, c2=0.018754510998783305 ..................
[CV]  c1=1.9735109119891376, c2=0.018754510998783305, score=0.547576 -   1.3s
[CV] c1=0.027555162653294985, c2=0.01951073181314627 .................
[CV]  c1=0.027555162653294985, c2=0.01951073181314627, score=0.848550 -   1.6s
[CV] c1=1.0613854635176792, c2=0.03562053456556115 ...................
[CV]  c1=1.0613854635176792, c2=0.03562053456556115, score=0.793773 -   1.6s
[CV] c1=0.06632102351985615, c2=0.08453926504092035 ..................
[CV]  c1=0.06632102351985615, c2=0.08453926504092035, score=0.847591 -   1.2s
[CV] c1=0.14326619776790114, c2=0.004035060618187721 .................
[CV]  c1=0.14326619776790114, c2=0.004035060618187721, score=0.829150 -   1.8s
[CV] c1=0.3466227285134773, c2=0.09864310650410704 ...................
[CV]  c1=0.3466227285134773, c2=0.09864310650410704, score=0.837909 -   1.7s
[CV] c1=0.9616954492909006, c2=0.18267239234232072 ...................
[CV]  c1=0.9616954492909006, c2=0.18267239234232072, score=0.833785 -   1.6s
[CV] c1=0.44884984278011203, c2=0.04490300684977304 ..................
[CV]  c1=0.44884984278011203, c2=0.04490300684977304, score=0.871593 -   1.7s
[CV] c1=0.4066664356106763, c2=0.10080943204496445 ...................
[CV]  c1=0.4066664356106763, c2=0.10080943204496445, score=0.740002 -   1.8s
[CV] c1=0.6180583978101375, c2=0.042768320481873776 ..................
[CV]  c1=0.6180583978101375, c2=0.042768320481873776, score=0.871729 -   1.7s
[CV] c1=1.733347442840721, c2=0.0015899858912783082 ..................
[CV]  c1=1.733347442840721, c2=0.0015899858912783082, score=0.569125 -   1.9s
[CV] c1=0.15030815554843324, c2=0.02226800944008174 ..................
[CV]  c1=0.15030815554843324, c2=0.02226800944008174, score=0.835222 -   1.8s
[CV] c1=0.15024868994680451, c2=0.10204034496181141 ..................
[CV]  c1=0.15024868994680451, c2=0.10204034496181141, score=0.707146 -   1.3s
[CV] c1=0.2744662448714224, c2=0.11303454401337319 ...................
[CV]  c1=0.2744662448714224, c2=0.11303454401337319, score=0.820391 -   1.7s
[CV] c1=0.07096235622173495, c2=0.07144538302474196 ..................
[CV]  c1=0.07096235622173495, c2=0.07144538302474196, score=0.817209 -   1.7s
[CV] c1=0.6496765025318411, c2=0.238169224828183 .....................
[CV]  c1=0.6496765025318411, c2=0.238169224828183, score=0.708859 -   1.6s
[CV] c1=1.9650443339004386, c2=0.016708921329132424 ..................
[CV]  c1=1.9650443339004386, c2=0.016708921329132424, score=0.716458 -   1.5s
[CV] c1=0.18532091908653692, c2=0.05269219478270196 ..................
[CV]  c1=0.18532091908653692, c2=0.05269219478270196, score=0.814319 -   1.7s
[CV] c1=0.04427110095223796, c2=0.1421560004531813 ...................
[CV]  c1=0.04427110095223796, c2=0.1421560004531813, score=0.803307 -   1.8s
[CV] c1=0.0275616779154723, c2=0.09811452293647199 ...................
[CV]  c1=0.0275616779154723, c2=0.09811452293647199, score=0.720207 -   1.4s
[CV] c1=0.8491399781588902, c2=0.0038494883611620853 .................
[CV]  c1=0.8491399781588902, c2=0.0038494883611620853, score=0.802347 -   1.6s
[CV] c1=0.4307500336472987, c2=0.010168262490418736 ..................
[CV]  c1=0.4307500336472987, c2=0.010168262490418736, score=0.830257 -   1.6s
[CV] c1=0.4849319720168695, c2=0.04192651038748931 ...................
[CV]  c1=0.4849319720168695, c2=0.04192651038748931, score=0.793010 -   1.8s
[CV] c1=0.861075784508034, c2=0.10045368852796835 ....................
[CV]  c1=0.861075784508034, c2=0.10045368852796835, score=0.623278 -   1.4s
[CV] c1=0.20799671981917292, c2=0.02405771239895315 ..................
[CV]  c1=0.20799671981917292, c2=0.02405771239895315, score=0.884577 -   1.7s
[CV] c1=0.9539057901981437, c2=0.007949359042353842 ..................
[CV]  c1=0.9539057901981437, c2=0.007949359042353842, score=0.715647 -   1.4s
[CV] c1=0.1664493529372724, c2=0.0983147012892039 ....................
[CV]  c1=0.1664493529372724, c2=0.0983147012892039, score=0.885681 -   1.7s
[CV] c1=0.40426006785830715, c2=0.018313372124613685 .................
[CV]  c1=0.40426006785830715, c2=0.018313372124613685, score=0.759076 -   1.7s
[CV] c1=0.3678712380282221, c2=0.12319322823825574 ...................
[CV]  c1=0.3678712380282221, c2=0.12319322823825574, score=0.818511 -   1.4s
[CV] c1=0.43129324141077957, c2=0.03193189112823024 ..................
[CV]  c1=0.43129324141077957, c2=0.03193189112823024, score=0.809389 -   1.3s
[CV] c1=0.3425082648208213, c2=0.09310386432562945 ...................
[CV]  c1=0.3425082648208213, c2=0.09310386432562945, score=0.675577 -   1.3s
[CV] c1=0.06616177285773818, c2=0.027636781460818473 .................
[CV]  c1=0.06616177285773818, c2=0.027636781460818473, score=0.793384 -   1.7s
[CV] c1=0.027587593768987218, c2=0.04304963544118648 .................
[CV]  c1=0.027587593768987218, c2=0.04304963544118648, score=0.816874 -   1.7s
[CV] c1=0.38450098647710973, c2=0.040757612583088076 .................
[CV]  c1=0.38450098647710973, c2=0.040757612583088076, score=0.811538 -   1.8s
[CV] c1=1.6387560700628747, c2=0.03556072332213859 ...................
[CV]  c1=1.6387560700628747, c2=0.03556072332213859, score=0.791541 -   1.7s
[CV] c1=0.4849319720168695, c2=0.04192651038748931 ...................
[CV]  c1=0.4849319720168695, c2=0.04192651038748931, score=0.743704 -   1.8s
[CV] c1=0.20794165864657813, c2=0.17067639948294686 ..................
[CV]  c1=0.20794165864657813, c2=0.17067639948294686, score=0.787890 -   1.7s
[CV] c1=1.4198605963458062, c2=0.014207242583386601 ..................
[CV]  c1=1.4198605963458062, c2=0.014207242583386601, score=0.635140 -   1.5s
[CV] c1=0.9539057901981437, c2=0.007949359042353842 ..................
[CV]  c1=0.9539057901981437, c2=0.007949359042353842, score=0.689993 -   1.8s
[CV] c1=0.027555162653294985, c2=0.01951073181314627 .................
[CV]  c1=0.027555162653294985, c2=0.01951073181314627, score=0.790144 -   1.7s
[CV] c1=0.3820119931639959, c2=0.13207268583555512 ...................
[CV]  c1=0.3820119931639959, c2=0.13207268583555512, score=0.670076 -   1.3s
[CV] c1=0.06632102351985615, c2=0.08453926504092035 ..................
[CV]  c1=0.06632102351985615, c2=0.08453926504092035, score=0.881455 -   1.3s
[CV] c1=0.6817900284358976, c2=0.03387075418539954 ...................
[CV]  c1=0.6817900284358976, c2=0.03387075418539954, score=0.867548 -   1.5s
[CV] c1=0.18532091908653692, c2=0.05269219478270196 ..................
[CV]  c1=0.18532091908653692, c2=0.05269219478270196, score=0.845350 -   1.6s
[CV] c1=0.6045737881828117, c2=0.024987908473098216 ..................
[CV]  c1=0.6045737881828117, c2=0.024987908473098216, score=0.795993 -   1.6s
[CV] c1=1.1610154116879525, c2=0.2292989518529306 ....................
[CV]  c1=1.1610154116879525, c2=0.2292989518529306, score=0.608703 -   1.9s
[CV] c1=0.07629789912962252, c2=0.004770760029705087 .................
[CV]  c1=0.07629789912962252, c2=0.004770760029705087, score=0.791071 -   1.7s
[CV] c1=0.36696444431618425, c2=0.003120672835707965 .................
[CV]  c1=0.36696444431618425, c2=0.003120672835707965, score=0.831166 -   1.6s
[CV] c1=0.374440631223813, c2=0.07176040866171611 ....................
[CV]  c1=0.374440631223813, c2=0.07176040866171611, score=0.683146 -   1.4s
[CV] c1=0.861075784508034, c2=0.10045368852796835 ....................
[CV]  c1=0.861075784508034, c2=0.10045368852796835, score=0.742697 -   1.8s
[CV] c1=0.04165990247332978, c2=0.06228663534647384 ..................
[CV]  c1=0.04165990247332978, c2=0.06228663534647384, score=0.828207 -   1.8s
[CV] c1=0.4764646282523361, c2=0.0387100850596715 ....................
[CV]  c1=0.4764646282523361, c2=0.0387100850596715, score=0.712683 -   1.4s
[CV] c1=0.2584821989578059, c2=0.023016106911738853 ..................
[CV]  c1=0.2584821989578059, c2=0.023016106911738853, score=0.701932 -   1.4s
[CV] c1=1.0613854635176792, c2=0.03562053456556115 ...................
[CV]  c1=1.0613854635176792, c2=0.03562053456556115, score=0.742429 -   1.7s
[CV] c1=0.22587567545681744, c2=0.00452769351556596 ..................
[CV]  c1=0.22587567545681744, c2=0.00452769351556596, score=0.718650 -   1.1s
[CV] c1=0.43129324141077957, c2=0.03193189112823024 ..................
[CV]  c1=0.43129324141077957, c2=0.03193189112823024, score=0.749840 -   1.5s
[CV] c1=0.18532091908653692, c2=0.05269219478270196 ..................
[CV]  c1=0.18532091908653692, c2=0.05269219478270196, score=0.786501 -   1.8s
[CV] c1=0.04427110095223796, c2=0.1421560004531813 ...................
[CV]  c1=0.04427110095223796, c2=0.1421560004531813, score=0.712044 -   1.3s
[CV] c1=0.4263584245022001, c2=0.004002528092782009 ..................
[CV]  c1=0.4263584245022001, c2=0.004002528092782009, score=0.824151 -   1.7s
[CV] c1=0.15223617538827808, c2=0.006973812868747213 .................
[CV]  c1=0.15223617538827808, c2=0.006973812868747213, score=0.829668 -   1.6s
[CV] c1=1.6387560700628747, c2=0.03556072332213859 ...................
[CV]  c1=1.6387560700628747, c2=0.03556072332213859, score=0.733840 -   1.8s
[CV] c1=0.4849319720168695, c2=0.04192651038748931 ...................
[CV]  c1=0.4849319720168695, c2=0.04192651038748931, score=0.827320 -   1.8s
[CV] c1=0.861075784508034, c2=0.10045368852796835 ....................
[CV]  c1=0.861075784508034, c2=0.10045368852796835, score=0.801009 -   1.6s
[CV] c1=1.4198605963458062, c2=0.014207242583386601 ..................
[CV]  c1=1.4198605963458062, c2=0.014207242583386601, score=0.787652 -   1.6s
[CV] c1=0.9105417883404512, c2=0.23007425521626668 ...................
[CV]  c1=0.9105417883404512, c2=0.23007425521626668, score=0.583470 -   1.4s
[CV] c1=0.1664493529372724, c2=0.0983147012892039 ....................
[CV]  c1=0.1664493529372724, c2=0.0983147012892039, score=0.847591 -   1.6s
[CV] c1=0.40426006785830715, c2=0.018313372124613685 .................
[CV]  c1=0.40426006785830715, c2=0.018313372124613685, score=0.834559 -   1.6s
[CV] c1=0.3678712380282221, c2=0.12319322823825574 ...................
[CV]  c1=0.3678712380282221, c2=0.12319322823825574, score=0.758019 -   1.5s
[CV] c1=0.26383441179430916, c2=0.016519787750290536 .................
[CV]  c1=0.26383441179430916, c2=0.016519787750290536, score=0.773208 -   1.6s
[CV] c1=0.18532091908653692, c2=0.05269219478270196 ..................
[CV]  c1=0.18532091908653692, c2=0.05269219478270196, score=0.868656 -   1.7s
[CV] c1=0.6045737881828117, c2=0.024987908473098216 ..................
[CV]  c1=0.6045737881828117, c2=0.024987908473098216, score=0.740168 -   1.4s
[CV] c1=0.4263584245022001, c2=0.004002528092782009 ..................
[CV]  c1=0.4263584245022001, c2=0.004002528092782009, score=0.754972 -   1.4s
[CV] c1=0.38450098647710973, c2=0.040757612583088076 .................
[CV]  c1=0.38450098647710973, c2=0.040757612583088076, score=0.757638 -   1.8s
[CV] c1=0.02648295692567047, c2=0.04239713745599504 ..................
[CV]  c1=0.02648295692567047, c2=0.04239713745599504, score=0.812216 -   1.8s
[CV] c1=0.4849319720168695, c2=0.04192651038748931 ...................
[CV]  c1=0.4849319720168695, c2=0.04192651038748931, score=0.764774 -   1.4s
[CV] c1=0.11851860455250864, c2=0.002595393227239295 .................
[CV]  c1=0.11851860455250864, c2=0.002595393227239295, score=0.782377 -   1.4s
[CV] c1=0.15030815554843324, c2=0.02226800944008174 ..................
[CV]  c1=0.15030815554843324, c2=0.02226800944008174, score=0.685319 -   1.5s
[CV] c1=0.4133432407781473, c2=0.015146168070666467 ..................
[CV]  c1=0.4133432407781473, c2=0.015146168070666467, score=0.816385 -   1.8s
[CV] c1=0.06207988140980612, c2=0.20095169993383669 ..................
[CV]  c1=0.06207988140980612, c2=0.20095169993383669, score=0.783134 -   1.7s
[CV] c1=0.07096235622173495, c2=0.07144538302474196 ..................
[CV]  c1=0.07096235622173495, c2=0.07144538302474196, score=0.790144 -   1.9s
[CV] c1=0.3678712380282221, c2=0.12319322823825574 ...................
[CV]  c1=0.3678712380282221, c2=0.12319322823825574, score=0.830579 -   1.5s
[CV] c1=1.9650443339004386, c2=0.016708921329132424 ..................
[CV]  c1=1.9650443339004386, c2=0.016708921329132424, score=0.592299 -   1.7s
[CV] c1=0.13638993865319704, c2=0.038355448983596774 .................
[CV]  c1=0.13638993865319704, c2=0.038355448983596774, score=0.784835 -   1.8s
[CV] c1=0.4480817020201422, c2=0.08526158952201686 ...................
[CV]  c1=0.4480817020201422, c2=0.08526158952201686, score=0.878682 -   1.6s
[CV] c1=0.0275616779154723, c2=0.09811452293647199 ...................
[CV]  c1=0.0275616779154723, c2=0.09811452293647199, score=0.883300 -   1.7s
[CV] c1=0.6953837720973993, c2=0.04919053100586277 ...................
[CV]  c1=0.6953837720973993, c2=0.04919053100586277, score=0.673332 -   1.4s
[CV] c1=0.4307500336472987, c2=0.010168262490418736 ..................
[CV]  c1=0.4307500336472987, c2=0.010168262490418736, score=0.821263 -   1.8s
[CV] c1=0.04793533038765453, c2=0.0996485296339176 ...................
[CV]  c1=0.04793533038765453, c2=0.0996485296339176, score=0.718302 -   1.3s
[CV] c1=0.20794165864657813, c2=0.17067639948294686 ..................
[CV]  c1=0.20794165864657813, c2=0.17067639948294686, score=0.841458 -   1.6s
[CV] c1=0.20799671981917292, c2=0.02405771239895315 ..................
[CV]  c1=0.20799671981917292, c2=0.02405771239895315, score=0.760705 -   1.4s
[CV] c1=0.15024868994680451, c2=0.10204034496181141 ..................
[CV]  c1=0.15024868994680451, c2=0.10204034496181141, score=0.885858 -   1.7s
[CV] c1=0.1664493529372724, c2=0.0983147012892039 ....................
[CV]  c1=0.1664493529372724, c2=0.0983147012892039, score=0.776384 -   1.7s
[CV] c1=0.40426006785830715, c2=0.018313372124613685 .................
[CV]  c1=0.40426006785830715, c2=0.018313372124613685, score=0.813961 -   1.7s
[CV] c1=0.06632102351985615, c2=0.08453926504092035 ..................
[CV]  c1=0.06632102351985615, c2=0.08453926504092035, score=0.805639 -   1.4s
[CV] c1=0.26383441179430916, c2=0.016519787750290536 .................
[CV]  c1=0.26383441179430916, c2=0.016519787750290536, score=0.811875 -   1.6s
[CV] c1=0.18532091908653692, c2=0.05269219478270196 ..................
[CV]  c1=0.18532091908653692, c2=0.05269219478270196, score=0.726817 -   1.4s
[CV] c1=0.06616177285773818, c2=0.027636781460818473 .................
[CV]  c1=0.06616177285773818, c2=0.027636781460818473, score=0.790144 -   1.9s
[CV] c1=1.1610154116879525, c2=0.2292989518529306 ....................
[CV]  c1=1.1610154116879525, c2=0.2292989518529306, score=0.815609 -   1.7s
[CV] c1=0.8491399781588902, c2=0.0038494883611620853 .................
[CV]  c1=0.8491399781588902, c2=0.0038494883611620853, score=0.701067 -   1.4s
[CV] c1=1.6387560700628747, c2=0.03556072332213859 ...................
[CV]  c1=1.6387560700628747, c2=0.03556072332213859, score=0.557217 -   1.5s
[CV] c1=0.3220647758630333, c2=0.009948424148252866 ..................
[CV]  c1=0.3220647758630333, c2=0.009948424148252866, score=0.838518 -   1.7s
[CV] c1=0.11851860455250864, c2=0.002595393227239295 .................
[CV]  c1=0.11851860455250864, c2=0.002595393227239295, score=0.831594 -   1.8s
[CV] c1=0.20799671981917292, c2=0.02405771239895315 ..................
[CV]  c1=0.20799671981917292, c2=0.02405771239895315, score=0.776678 -   1.7s
[CV] c1=0.9105417883404512, c2=0.23007425521626668 ...................
[CV]  c1=0.9105417883404512, c2=0.23007425521626668, score=0.825445 -   1.8s
[CV] c1=0.33928613127292334, c2=0.016500176074770192 .................
[CV]  c1=0.33928613127292334, c2=0.016500176074770192, score=0.838187 -   1.6s
[CV] c1=0.3820119931639959, c2=0.13207268583555512 ...................
[CV]  c1=0.3820119931639959, c2=0.13207268583555512, score=0.836149 -   1.7s
[CV] c1=1.9425761852278378, c2=0.014503663276848325 ..................
[CV]  c1=1.9425761852278378, c2=0.014503663276848325, score=0.547576 -   1.0s
[CV] c1=1.9650443339004386, c2=0.016708921329132424 ..................
[CV]  c1=1.9650443339004386, c2=0.016708921329132424, score=0.550180 -   1.1s
[CV] c1=0.07716043851694744, c2=0.00804866111290982 ..................
[CV]  c1=0.07716043851694744, c2=0.00804866111290982, score=0.841673 -   1.6s
[CV] c1=0.06616177285773818, c2=0.027636781460818473 .................
[CV]  c1=0.06616177285773818, c2=0.027636781460818473, score=0.846433 -   1.6s
[CV] c1=0.027587593768987218, c2=0.04304963544118648 .................
[CV]  c1=0.027587593768987218, c2=0.04304963544118648, score=0.812216 -   1.8s
[CV] c1=0.15223617538827808, c2=0.006973812868747213 .................
[CV]  c1=0.15223617538827808, c2=0.006973812868747213, score=0.872589 -   1.7s
[CV] c1=1.6387560700628747, c2=0.03556072332213859 ...................
[CV]  c1=1.6387560700628747, c2=0.03556072332213859, score=0.602479 -   1.9s
[CV] c1=0.7310487099198196, c2=0.002507151993799863 ..................
[CV]  c1=0.7310487099198196, c2=0.002507151993799863, score=0.700564 -   1.4s
[CV] c1=0.20794165864657813, c2=0.17067639948294686 ..................
[CV]  c1=0.20794165864657813, c2=0.17067639948294686, score=0.766772 -   1.8s
[CV] c1=0.20799671981917292, c2=0.02405771239895315 ..................
[CV]  c1=0.20799671981917292, c2=0.02405771239895315, score=0.814319 -   1.8s
[CV] c1=0.9105417883404512, c2=0.23007425521626668 ...................
[CV]  c1=0.9105417883404512, c2=0.23007425521626668, score=0.792917 -   1.6s
[CV] c1=0.33928613127292334, c2=0.016500176074770192 .................
[CV]  c1=0.33928613127292334, c2=0.016500176074770192, score=0.878652 -   1.7s
[CV] c1=0.3820119931639959, c2=0.13207268583555512 ...................
[CV]  c1=0.3820119931639959, c2=0.13207268583555512, score=0.750236 -   1.7s
[CV] c1=0.22587567545681744, c2=0.00452769351556596 ..................
[CV]  c1=0.22587567545681744, c2=0.00452769351556596, score=0.852219 -   1.2s
[CV] c1=0.11083106091336384, c2=0.011046911209500042 .................
[CV]  c1=0.11083106091336384, c2=0.011046911209500042, score=0.845770 -   1.6s
[CV] c1=0.1674508603790891, c2=0.12216722648212762 ...................
[CV]  c1=0.1674508603790891, c2=0.12216722648212762, score=0.882569 -   1.7s
[CV] c1=0.0010935538556235485, c2=0.06771405146043179 ................
[CV]  c1=0.0010935538556235485, c2=0.06771405146043179, score=0.711077 -   1.3s
[CV] c1=0.40951067846285677, c2=0.12329982706011917 ..................
[CV]  c1=0.40951067846285677, c2=0.12329982706011917, score=0.740002 -   1.7s
[CV] c1=0.4066664356106763, c2=0.10080943204496445 ...................
[CV]  c1=0.4066664356106763, c2=0.10080943204496445, score=0.867494 -   1.7s
[CV] c1=0.8403834264822172, c2=0.003308204425637173 ..................
[CV]  c1=0.8403834264822172, c2=0.003308204425637173, score=0.695652 -   1.4s
[CV] c1=0.3786836730983696, c2=0.017866602458293978 ..................
[CV]  c1=0.3786836730983696, c2=0.017866602458293978, score=0.748023 -   1.4s
[CV] c1=0.07934965199192158, c2=0.04261404828484543 ..................
[CV]  c1=0.07934965199192158, c2=0.04261404828484543, score=0.847591 -   1.6s
[CV] c1=0.04165990247332978, c2=0.06228663534647384 ..................
[CV]  c1=0.04165990247332978, c2=0.06228663534647384, score=0.715786 -   1.3s
[CV] c1=0.9539057901981437, c2=0.007949359042353842 ..................
[CV]  c1=0.9539057901981437, c2=0.007949359042353842, score=0.702123 -   1.8s
[CV] c1=0.33928613127292334, c2=0.016500176074770192 .................
[CV]  c1=0.33928613127292334, c2=0.016500176074770192, score=0.762382 -   1.8s
[CV] c1=0.3934372852791336, c2=0.04515320668513248 ...................
[CV]  c1=0.3934372852791336, c2=0.04515320668513248, score=0.706299 -   1.4s
[CV] c1=0.22587567545681744, c2=0.00452769351556596 ..................
[CV]  c1=0.22587567545681744, c2=0.00452769351556596, score=0.794300 -   1.2s
[CV] c1=0.43129324141077957, c2=0.03193189112823024 ..................
[CV]  c1=0.43129324141077957, c2=0.03193189112823024, score=0.752024 -   1.2s
[CV] c1=0.07716043851694744, c2=0.00804866111290982 ..................
[CV]  c1=0.07716043851694744, c2=0.00804866111290982, score=0.806432 -   1.8s
[CV] c1=0.26558973978932293, c2=0.006842179060336045 .................
[CV]  c1=0.26558973978932293, c2=0.006842179060336045, score=0.874446 -   1.6s
[CV] c1=0.4263584245022001, c2=0.004002528092782009 ..................
[CV]  c1=0.4263584245022001, c2=0.004002528092782009, score=0.878608 -   1.7s
[CV] c1=0.15223617538827808, c2=0.006973812868747213 .................
[CV]  c1=0.15223617538827808, c2=0.006973812868747213, score=0.787555 -   1.7s
[CV] c1=1.6387560700628747, c2=0.03556072332213859 ...................
[CV]  c1=1.6387560700628747, c2=0.03556072332213859, score=0.583005 -   2.1s
[CV] c1=0.04793533038765453, c2=0.0996485296339176 ...................
[CV]  c1=0.04793533038765453, c2=0.0996485296339176, score=0.808631 -   1.7s
[CV] c1=0.2785576582596558, c2=0.037008736617844144 ..................
[CV]  c1=0.2785576582596558, c2=0.037008736617844144, score=0.780067 -   1.8s
[CV] c1=0.3118428636704462, c2=0.0054833329094951064 .................
[CV]  c1=0.3118428636704462, c2=0.0054833329094951064, score=0.796433 -   1.4s
[CV] c1=1.9735109119891376, c2=0.018754510998783305 ..................
[CV]  c1=1.9735109119891376, c2=0.018754510998783305, score=0.536787 -   1.7s
[CV] c1=0.13388061662833867, c2=0.07640822949994511 ..................
[CV]  c1=0.13388061662833867, c2=0.07640822949994511, score=0.694572 -   1.4s
[CV] c1=0.3820119931639959, c2=0.13207268583555512 ...................
[CV]  c1=0.3820119931639959, c2=0.13207268583555512, score=0.802112 -   1.7s
[CV] c1=1.9425761852278378, c2=0.014503663276848325 ..................
[CV]  c1=1.9425761852278378, c2=0.014503663276848325, score=0.605218 -   1.1s
[CV] c1=0.14326619776790114, c2=0.004035060618187721 .................
[CV]  c1=0.14326619776790114, c2=0.004035060618187721, score=0.882872 -   1.6s
[CV] c1=0.5270097122815337, c2=0.03672850623443032 ...................
[CV]  c1=0.5270097122815337, c2=0.03672850623443032, score=0.874510 -   1.8s
[CV] c1=0.46152222053325964, c2=0.009403070304122083 .................
[CV]  c1=0.46152222053325964, c2=0.009403070304122083, score=0.718536 -   1.3s
[CV] c1=0.20498796198128075, c2=0.023626111256684512 .................
[CV]  c1=0.20498796198128075, c2=0.023626111256684512, score=0.811875 -   1.7s
[CV] c1=0.6953837720973993, c2=0.04919053100586277 ...................
[CV]  c1=0.6953837720973993, c2=0.04919053100586277, score=0.793901 -   1.6s
[CV] c1=0.36696444431618425, c2=0.003120672835707965 .................
[CV]  c1=0.36696444431618425, c2=0.003120672835707965, score=0.872160 -   1.7s
[CV] c1=0.374440631223813, c2=0.07176040866171611 ....................
[CV]  c1=0.374440631223813, c2=0.07176040866171611, score=0.748338 -   1.7s
[CV] c1=0.6667149253016506, c2=0.010535444535484887 ..................
[CV]  c1=0.6667149253016506, c2=0.010535444535484887, score=0.872466 -   1.7s
[CV] c1=0.3118428636704462, c2=0.0054833329094951064 .................
[CV]  c1=0.3118428636704462, c2=0.0054833329094951064, score=0.886603 -   1.7s
[CV] c1=0.9590768552538691, c2=0.09278911351875685 ...................
[CV]  c1=0.9590768552538691, c2=0.09278911351875685, score=0.656428 -   1.3s
[CV] c1=0.2584821989578059, c2=0.023016106911738853 ..................
[CV]  c1=0.2584821989578059, c2=0.023016106911738853, score=0.814319 -   1.7s
[CV] c1=0.014606226819270336, c2=0.0032895890765964313 ...............
[CV]  c1=0.014606226819270336, c2=0.0032895890765964313, score=0.819599 -   1.4s
[CV] c1=1.9425761852278378, c2=0.014503663276848325 ..................
[CV]  c1=1.9425761852278378, c2=0.014503663276848325, score=0.777815 -   1.2s
[CV] c1=1.9650443339004386, c2=0.016708921329132424 ..................
[CV]  c1=1.9650443339004386, c2=0.016708921329132424, score=0.771937 -   1.4s
[CV] c1=0.3425082648208213, c2=0.09310386432562945 ...................
[CV]  c1=0.3425082648208213, c2=0.09310386432562945, score=0.829247 -   1.7s
[CV] c1=0.26558973978932293, c2=0.006842179060336045 .................
[CV]  c1=0.26558973978932293, c2=0.006842179060336045, score=0.802727 -   1.7s
[CV] c1=1.1610154116879525, c2=0.2292989518529306 ....................
[CV]  c1=1.1610154116879525, c2=0.2292989518529306, score=0.556362 -   1.4s
[CV] c1=0.15223617538827808, c2=0.006973812868747213 .................
[CV]  c1=0.15223617538827808, c2=0.006973812868747213, score=0.752781 -   1.3s
[CV] c1=0.02648295692567047, c2=0.04239713745599504 ..................
[CV]  c1=0.02648295692567047, c2=0.04239713745599504, score=0.868599 -   1.7s
[CV] c1=0.3220647758630333, c2=0.009948424148252866 ..................
[CV]  c1=0.3220647758630333, c2=0.009948424148252866, score=0.884203 -   1.7s
[CV] c1=0.14811562006094964, c2=0.07617324132278668 ..................
[CV]  c1=0.14811562006094964, c2=0.07617324132278668, score=0.784072 -   1.8s
[CV] c1=0.35118614208942905, c2=0.1314146888502144 ...................
[CV]  c1=0.35118614208942905, c2=0.1314146888502144, score=0.817981 -   1.6s
[CV] c1=0.15024868994680451, c2=0.10204034496181141 ..................
[CV]  c1=0.15024868994680451, c2=0.10204034496181141, score=0.847591 -   1.7s
[CV] c1=0.1664493529372724, c2=0.0983147012892039 ....................
[CV]  c1=0.1664493529372724, c2=0.0983147012892039, score=0.784072 -   1.8s
[CV] c1=1.0613854635176792, c2=0.03562053456556115 ...................
[CV]  c1=1.0613854635176792, c2=0.03562053456556115, score=0.654613 -   1.7s
[CV] c1=0.06632102351985615, c2=0.08453926504092035 ..................
[CV]  c1=0.06632102351985615, c2=0.08453926504092035, score=0.808631 -   1.4s
[CV] c1=0.43129324141077957, c2=0.03193189112823024 ..................
[CV]  c1=0.43129324141077957, c2=0.03193189112823024, score=0.869085 -   1.3s
[CV] c1=0.07716043851694744, c2=0.00804866111290982 ..................
[CV]  c1=0.07716043851694744, c2=0.00804866111290982, score=0.785043 -   1.8s
[CV] c1=0.26558973978932293, c2=0.006842179060336045 .................
[CV]  c1=0.26558973978932293, c2=0.006842179060336045, score=0.702513 -   1.4s
[CV] c1=0.027587593768987218, c2=0.04304963544118648 .................
[CV]  c1=0.027587593768987218, c2=0.04304963544118648, score=0.853841 -   1.7s
[CV] c1=0.38450098647710973, c2=0.040757612583088076 .................
[CV]  c1=0.38450098647710973, c2=0.040757612583088076, score=0.829247 -   1.7s
[CV] c1=0.02648295692567047, c2=0.04239713745599504 ..................
[CV]  c1=0.02648295692567047, c2=0.04239713745599504, score=0.715294 -   1.4s
[CV] c1=0.6180583978101375, c2=0.042768320481873776 ..................
[CV]  c1=0.6180583978101375, c2=0.042768320481873776, score=0.717627 -   1.6s
[CV] c1=0.14811562006094964, c2=0.07617324132278668 ..................
[CV]  c1=0.14811562006094964, c2=0.07617324132278668, score=0.772511 -   1.8s
[CV] c1=0.35118614208942905, c2=0.1314146888502144 ...................
[CV]  c1=0.35118614208942905, c2=0.1314146888502144, score=0.878022 -   1.7s
[CV] c1=0.15024868994680451, c2=0.10204034496181141 ..................
[CV]  c1=0.15024868994680451, c2=0.10204034496181141, score=0.781152 -   1.8s
[CV] c1=0.027555162653294985, c2=0.01951073181314627 .................
[CV]  c1=0.027555162653294985, c2=0.01951073181314627, score=0.812746 -   1.8s
[CV] c1=0.3820119931639959, c2=0.13207268583555512 ...................
[CV]  c1=0.3820119931639959, c2=0.13207268583555512, score=0.867494 -   1.7s
[CV] c1=0.22587567545681744, c2=0.00452769351556596 ..................
[CV]  c1=0.22587567545681744, c2=0.00452769351556596, score=0.869127 -   1.4s
[CV] c1=0.23841226915731578, c2=0.03559935031113641 ..................
[CV]  c1=0.23841226915731578, c2=0.03559935031113641, score=0.780067 -   1.7s
[CV] c1=0.3466227285134773, c2=0.09864310650410704 ...................
[CV]  c1=0.3466227285134773, c2=0.09864310650410704, score=0.820420 -   1.7s
[CV] c1=0.9616954492909006, c2=0.18267239234232072 ...................
[CV]  c1=0.9616954492909006, c2=0.18267239234232072, score=0.597044 -   1.4s
[CV] c1=0.0275616779154723, c2=0.09811452293647199 ...................
[CV]  c1=0.0275616779154723, c2=0.09811452293647199, score=0.806188 -   1.7s
[CV] c1=0.22420084036464155, c2=0.03225175063047042 ..................
[CV]  c1=0.22420084036464155, c2=0.03225175063047042, score=0.738652 -   1.4s
[CV] c1=0.2201272945133022, c2=0.024204836714490315 ..................
[CV]  c1=0.2201272945133022, c2=0.024204836714490315, score=0.790524 -   1.7s
[CV] c1=0.374440631223813, c2=0.07176040866171611 ....................
[CV]  c1=0.374440631223813, c2=0.07176040866171611, score=0.863993 -   1.7s
[CV] c1=0.2785576582596558, c2=0.037008736617844144 ..................
[CV]  c1=0.2785576582596558, c2=0.037008736617844144, score=0.687479 -   1.3s
[CV] c1=1.4198605963458062, c2=0.014207242583386601 ..................
[CV]  c1=1.4198605963458062, c2=0.014207242583386601, score=0.631180 -   1.7s
[CV] c1=1.9735109119891376, c2=0.018754510998783305 ..................
[CV]  c1=1.9735109119891376, c2=0.018754510998783305, score=0.777054 -   1.6s
[CV] c1=0.2584821989578059, c2=0.023016106911738853 ..................
[CV]  c1=0.2584821989578059, c2=0.023016106911738853, score=0.892546 -   1.7s
[CV] c1=0.3934372852791336, c2=0.04515320668513248 ...................
[CV]  c1=0.3934372852791336, c2=0.04515320668513248, score=0.867494 -   1.6s
[CV] c1=0.22587567545681744, c2=0.00452769351556596 ..................
[CV]  c1=0.22587567545681744, c2=0.00452769351556596, score=0.805171 -   1.3s
[CV] c1=0.14326619776790114, c2=0.004035060618187721 .................
[CV]  c1=0.14326619776790114, c2=0.004035060618187721, score=0.715325 -   1.4s
[CV] c1=0.13638993865319704, c2=0.038355448983596774 .................
[CV]  c1=0.13638993865319704, c2=0.038355448983596774, score=0.692133 -   1.3s
[CV] c1=0.26558973978932293, c2=0.006842179060336045 .................
[CV]  c1=0.26558973978932293, c2=0.006842179060336045, score=0.843512 -   1.6s
[CV] c1=0.4263584245022001, c2=0.004002528092782009 ..................
[CV]  c1=0.4263584245022001, c2=0.004002528092782009, score=0.762149 -   1.8s
[CV] c1=0.8491399781588902, c2=0.0038494883611620853 .................
[CV]  c1=0.8491399781588902, c2=0.0038494883611620853, score=0.855936 -   1.6s
[CV] c1=0.4307500336472987, c2=0.010168262490418736 ..................
[CV]  c1=0.4307500336472987, c2=0.010168262490418736, score=0.769699 -   1.8s
[CV] c1=0.7310487099198196, c2=0.002507151993799863 ..................
[CV]  c1=0.7310487099198196, c2=0.002507151993799863, score=0.766602 -   1.6s
[CV] c1=0.861075784508034, c2=0.10045368852796835 ....................
[CV]  c1=0.861075784508034, c2=0.10045368852796835, score=0.665682 -   1.8s
[CV] c1=0.04165990247332978, c2=0.06228663534647384 ..................
[CV]  c1=0.04165990247332978, c2=0.06228663534647384, score=0.876257 -   1.7s
[CV] c1=1.9735109119891376, c2=0.018754510998783305 ..................
[CV]  c1=1.9735109119891376, c2=0.018754510998783305, score=0.592299 -   1.7s
[CV] c1=0.2584821989578059, c2=0.023016106911738853 ..................
[CV]  c1=0.2584821989578059, c2=0.023016106911738853, score=0.837983 -   1.7s
[CV] c1=0.3934372852791336, c2=0.04515320668513248 ...................
[CV]  c1=0.3934372852791336, c2=0.04515320668513248, score=0.832528 -   1.6s
[CV] c1=1.9425761852278378, c2=0.014503663276848325 ..................
[CV]  c1=1.9425761852278378, c2=0.014503663276848325, score=0.653324 -   1.1s
Training done in: 23.527293s
     Saving training model...
        Saving training model done in: 0.013486s
*********************************
Prediction done in: 0.040941s