SVM-light Version V3.50
0 # kernel type
1 # kernel parameter -d 
1 # kernel parameter -g 
1 # kernel parameter -s 
0 # kernel parameter -r 
EmptyParam # kernel parameter -u 
1000 # highest feature index 
418 # number of training documents 
122 # number of support vectors plus 1 
1.0563994 # threshold b 
0.99999993212504223 119:0.088132001 131:0.054166999 179:0.059946001 231:0.065788999 237:0.187172 243:0.30381599 247:0.141525 248:0.074992999 260:0.128769 267:0.080445997 286:0.072760001 288:0.088132001 299:0.072760001 318:0.061852999 323:0.065788999 355:0.067307003 370:0.060704 389:0.068956003 397:0.074992999 399:0.083902001 402:0.070762999 418:0.247412 420:0.063075997 423:0.080445997 424:0.060704 459:0.074992999 482:0.053392999 501:0.106786 525:0.088132001 534:0.093585998 590:0.05962 592:0.080445997 599:0.051245 614:0.074992999 625:0.321785 663:0.083902001 673:0.103868 680:0.088132001 686:0.176265 692:0.070762999 702:0.088132001 729:0.101272 736:0.264397 737:0.232572 739:0.072760001 742:0.176265 748:0.241339 750:0.101272 777:0.057622999 781:0.088132001 785:0.074992999 800:0.077523999 808:0.058595002 827:0.264397 850:0.13461301 857:0.185559 882:0.101272 887:0.052650001 893:0.101272 912:0.072760001 929:0.128769 949:0.072760001 951:0.05962 964:0.058595002 
-0.48363844405932266 10:0.152234 24:0.115108 104:0.056917999 106:0.094708003 131:0.088111997 170:0.086852998 227:0.164737 229:0.071598999 253:0.095316 276:0.16896001 304:0.085643999 312:0.164737 314:0.30446801 328:0.118357 335:0.143363 342:0.121989 355:0.109486 363:0.078291997 373:0.143363 418:0.100615 427:0.152234 447:0.164737 456:0.104733 535:0.121989 554:0.077372 572:0.118357 586:0.096983001 588:0.082277 592:0.13086 612:0.164737 618:0.164737 652:0.121989 666:0.121989 686:0.143363 703:0.143363 732:0.12610701 739:0.118357 753:0.143363 767:0.086852998 787:0.152234 789:0.143363 800:0.252213 808:0.095316 812:0.164737 834:0.143363 870:0.13086 887:0.085643999 897:0.109486 909:0.085643999 917:0.121989 920:0.136482 931:0.136482 934:0.115108 945:0.152234 996:0.152234 999:0.09223 
-0.098624655213540968 38:0.158994 63:0.138569 104:0.088198997 125:0.195411 131:0.136536 186:0.21148901 207:0.235897 234:0.202777 254:0.235897 270:0.222151 286:0.183403 330:0.073379003 338:0.183403 349:0.165832 402:0.178368 473:0.12917 517:0.150282 592:0.202777 599:0.12917 653:0.21148901 678:0.16965599 681:0.14069299 687:0.14069299 732:0.195411 736:0.222151 819:0.150282 836:0.150282 848:0.124307 857:0.15591 909:0.13271099 956:0.235897 985:0.16229101 991:0.173814 
-0.063846722467216149 47:0.188594 133:0.297519 143:0.22361401 151:0.234887 179:0.079882003 245:0.234887 304:0.14032 359:0.17159501 416:0.164849 467:0.22361401 517:0.158898 624:0.30221999 686:0.234887 743:0.249422 808:0.156166 817:0.146514 827:0.234887 857:0.164849 886:0.269907 909:0.14032 932:0.249422 937:0.17938299 991:0.183779 
-0.99999993212504223 8:0.048043001 48:0.241392 56:0.100215 106:0.033101998 117:0.080463998 124:0.115156 135:0.091475002 179:0.034081999 194:0.095404997 260:0.146422 286:0.082735002 351:0.20043001 375:0.53207999 468:0.066629 483:0.085274003 496:0.085274003 517:0.067794003 527:0.082735002 541:0.106416 552:0.100215 570:0.091475002 617:0.063468002 644:0.066629 672:0.059868 686:0.20043001 703:0.100215 705:0.106416 713:0.069026001 769:0.30064499 784:0.100215 799:0.50107503 805:0.104525 827:0.100215 857:0.070332997 900:0.061593 985:0.073210999 994:0.115156 
0.017106875518718798 2:0.26549101 10:0.122671 85:0.132745 106:0.114474 117:0.092753999 119:0.115522 158:0.115522 193:0.086235002 208:0.115522 260:0.25318101 262:0.074318998 265:0.098298997 290:0.109978 293:0.053265002 297:0.101617 304:0.069012001 318:0.16215201 352:0.115522 353:0.109978 414:0.23104499 417:0.109978 465:0.105447 473:0.134341 475:0.090386003 501:0.069986999 503:0.109978 514:0.072058 541:0.122671 554:0.124692 578:0.101617 583:0.109978 614:0.29489699 617:0.073163003 625:0.105447 628:0.076806001 651:0.122671 686:0.346567 732:0.101617 748:0.105447 790:0.101617 799:0.115522 800:0.203234 804:0.079568997 827:0.23104499 836:0.078148998 848:0.064641997 875:0.082679003 912:0.190745 968:0.210895 
0.63728303398195307 8:0.072803997 22:0.113364 119:0.15186501 133:0.096179001 248:0.129223 260:0.33283001 262:0.097699001 280:0.13358501 297:0.13358501 309:0.176604 326:0.15186501 353:0.144576 371:0.144576 488:0.303729 496:0.129223 554:0.08196 599:0.088302001 614:0.25844601 631:0.144576 642:0.13358501 650:0.13862 664:0.144576 666:0.129223 686:0.303729 687:0.096179001 761:0.16126201 784:0.15186501 790:0.13358501 801:0.17450599 804:0.104601 819:0.102734 850:0.231958 857:0.213163 868:0.094727002 882:0.17450599 933:0.129223 943:0.13862 
0.99999993212504223 8:0.107028 17:0.101968 104:0.088636003 106:0.073743001 254:0.237068 260:0.163096 272:0.170498 280:0.196381 323:0.166655 330:0.073743001 394:0.237068 440:0.179253 522:0.237068 526:0.237068 554:0.120488 578:0.196381 625:0.20378301 694:0.20378301 761:0.237068 800:0.196381 814:0.237068 817:0.139257 819:0.15102801 866:0.212538 873:0.237068 882:0.25653899 932:0.237068 948:0.166655 
0.99999993212504223 179:0.061949998 220:0.150387 260:0.133075 286:0.150387 288:0.18216 302:0.094997004 310:0.173417 316:0.160234 363:0.19895899 377:0.18216 507:0.209318 552:0.18216 554:0.19662 573:0.209318 578:0.160234 593:0.166273 618:0.209318 625:0.166273 628:0.12111 686:0.18216 691:0.166273 726:0.18216 732:0.160234 761:0.193431 762:0.088207997 787:0.193431 792:0.209318 827:0.18216 850:0.13911501 899:0.193431 912:0.150387 915:0.113624 925:0.18216 934:0.14625899 945:0.193431 
0.99999993212504223 5:0.079141997 106:0.031665001 119:0.479316 158:0.191726 166:0.075005002 179:0.032602001 214:0.25297299 238:0.087503001 247:0.076970004 260:0.070032001 265:0.24471299 269:0.110155 285:0.175006 318:0.067279004 353:0.091261998 356:0.066028997 388:0.110155 402:0.076970004 419:0.110155 468:0.063735001 482:0.058077 507:0.110155 522:0.101795 554:0.051736001 570:0.175006 574:0.108634 579:0.087503001 590:0.064850003 614:0.163142 617:0.060711998 625:0.087503001 631:0.091261998 686:0.191726 687:0.060711998 695:0.237427 705:0.101795 713:0.066028997 748:0.087503001 750:0.110155 762:0.04642 769:0.095863 773:0.101795 799:0.191726 804:0.132057 805:0.049993001 827:0.191726 848:0.053640999 850:0.073210999 857:0.13455699 877:0.095863 882:0.110155 905:0.091261998 920:0.182524 945:0.101795 975:0.087503001 
-0.22295764425874764 7:0.108987 41:0.126789 106:0.039439 147:0.1194 179:0.040607002 181:0.13720199 183:0.108987 286:0.098573998 288:0.238801 293:0.055052999 302:0.062268 315:0.091186002 326:0.238801 330:0.078878 336:0.13720199 340:0.13720199 355:0.091186002 371:0.11367 380:0.079383999 390:0.060915999 397:0.101599 402:0.095867999 413:0.095867999 416:0.083797999 423:0.21797501 440:0.095867999 442:0.108987 444:0.053527001 445:0.056676 451:0.11367 479:0.11367 481:0.078066997 497:0.080773003 501:0.14467201 513:0.098573998 554:0.064438999 567:0.126789 580:0.098573998 590:0.080773003 594:0.098573998 606:0.1194 642:0.31508499 650:0.108987 672:0.142658 686:0.1194 703:0.1194 717:0.083797999 736:0.1194 739:0.197148 745:0.105028 781:0.1194 801:0.13720199 827:0.1194 831:0.1194 833:0.126789 850:0.091186002 855:0.075618997 867:0.13720199 875:0.085455 882:0.27440399 900:0.073384002 927:0.055583 951:0.080773003 969:0.101599 975:0.108987 1000:0.091186002 
-0.41693854023305366 8:0.081243001 129:0.149069 159:0.169467 235:0.123803 247:0.136068 254:0.17995401 262:0.109023 272:0.12942199 326:0.169467 337:0.16133399 349:0.379513 382:0.154688 440:0.136068 444:0.075971998 451:0.16133399 475:0.132594 517:0.229285 526:0.17995401 570:0.154688 584:0.118936 617:0.107328 686:0.169467 693:0.17995401 694:0.154688 695:0.279816 781:0.169467 827:0.33893499 857:0.118936 865:0.16133399 873:0.17995401 887:0.101238 912:0.139908 951:0.114642 
-0.26013201696390714 5:0.1095 17:0.020192999 18:0.044211 106:0.014603 108:0.030452 116:0.046946999 123:0.046946999 131:0.027172999 167:0.037620001 169:0.034591999 179:0.045107 200:0.15048 205:0.050802998 206:0.022802999 212:0.046946999 231:0.066005997 238:0.161422 247:0.035498001 251:0.044211 258:0.037620001 265:0.037620001 293:0.020385001 294:0.14084101 297:0.350007 298:0.042089 302:0.046112999 306:0.077779002 309:0.025707001 328:0.36499801 339:0.126268 351:0.221057 363:0.024143999 377:0.044211 380:0.029394001 383:0.075240001 384:0.046946999 389:0.069182999 396:0.03889 402:0.070996001 420:0.031642001 423:0.040355999 425:0.093893997 428:0.132634 429:0.033002999 440:0.035498001 444:0.019819999 451:0.042089 452:0.031642001 453:0.040355999 466:0.035498001 468:0.058788002 473:0.025707001 481:0.028906001 482:0.026784001 512:0.037620001 525:0.044211 574:0.050101001 579:0.121067 588:0.025373001 590:0.089725003 593:0.121067 603:0.050802998 605:0.046946999 617:0.083999999 627:0.040355999 631:0.042089 643:0.32863 651:0.046946999 658:0.044211 659:0.15048 664:0.042089 666:0.037620001 673:0.026053 679:0.030452 683:0.093893997 686:0.221057 695:0.145999 700:0.046946999 705:0.046946999 706:0.064595997 721:0.036499999 736:0.044211 748:0.161422 762:0.14985999 765:0.093893997 777:0.028906001 779:0.046946999 782:0.093893997 790:0.233338 814:0.046946999 817:0.055155002 827:0.044211 842:0.046946999 845:0.042089 850:0.067528002 855:0.028000001 857:0.186171 882:0.050802998 885:0.037620001 896:0.046946999 900:0.027172999 907:0.044211 909:0.026411001 915:0.027577 920:0.042089 924:0.029394001 934:0.035498001 943:0.080711 948:0.033002999 953:0.034591999 954:0.036499999 956:0.046946999 982:0.046946999 
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