model9.mdl

文本分类算法

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 
116 # number of support vectors plus 1 
1.0601215 # threshold b 
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0.99999993212504223 47:0.110403 84:0.14601199 104:0.054591998 105:0.14601199 125:0.24190401 170:0.083302997 229:0.068672001 248:0.117003 259:0.22703899 300:0.275006 330:0.090837002 390:0.070151001 440:0.110403 445:0.065269001 462:0.130904 481:0.089902997 485:0.120952 497:0.093019001 506:0.120952 508:0.137503 527:0.113519 572:0.113519 617:0.087084003 686:0.41251001 701:0.14601199 717:0.096501999 726:0.137503 730:0.275006 785:0.117003 796:0.120952 804:0.28412801 833:0.14601199 857:0.096501999 869:0.31600699 909:0.082143001 917:0.117003 927:0.064010002 957:0.137503 999:0.088459998 
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-0.12373135577843637 8:0.107391 104:0.177875 154:0.40895 235:0.16365001 304:0.13382301 307:0.237873 323:0.16722 395:0.19704799 438:0.25740901 498:0.184939 521:0.237873 522:0.237873 588:0.128561 599:0.130252 681:0.141872 686:0.44802299 748:0.204475 755:0.21325999 882:0.25740901 
0.70930559916637914 12:0.19494 38:0.060708001 48:0.068106003 94:0.05291 98:0.09747 104:0.033677001 106:0.056035999 112:0.090071999 115:0.061967 124:0.09747 148:0.19494 156:0.084824003 167:0.072177 187:0.084824003 210:0.084824003 218:0.074614003 231:0.063318998 266:0.057381999 276:0.049984001 301:0.09747 302:0.044236001 321:0.090071999 335:0.084824003 337:0.080752 352:0.084824003 356:0.058425002 396:0.14922699 413:0.068106003 423:0.154852 428:0.084824003 434:0.074614003 444:0.076053001 447:0.09747 459:0.072177 462:0.161505 466:0.068106003 473:0.049321 481:0.055459999 491:0.090071999 504:0.055459999 509:0.090071999 543:0.084824003 559:0.090071999 602:0.090071999 622:0.09747 634:0.090071999 651:0.090071999 656:0.223841 657:0.110919 662:0.080752 663:0.080752 681:0.053721 684:0.084824003 727:0.084824003 743:0.090071999 752:0.077426001 767:0.051387999 769:0.084824003 772:0.059531 792:0.09747 793:0.080752 800:0.223841 804:0.35054901 857:0.119062 882:0.48734999 905:0.080752 926:0.056396 927:0.039487001 932:0.090071999 940:0.080752 948:0.063318998 985:0.061967 990:0.090071999 
0.55584263824801206 106:0.062545002 136:0.180263 184:0.172838 302:0.098747 330:0.062545002 412:0.180263 468:0.125892 477:0.14460699 517:0.128094 599:0.110099 604:0.217582 646:0.135519 656:0.16655999 727:0.378703 775:0.201068 804:0.391265 811:0.201068 827:0.18935201 853:0.172838 857:0.39867201 917:0.161121 921:0.201068 932:0.201068 948:0.14134701 
0.99999993212504223 48:0.12577 104:0.124381 115:0.114434 125:0.137787 170:0.094898 283:0.166335 293:0.072224997 302:0.081689 313:0.137787 380:0.104145 381:0.359992 440:0.12577 462:0.149124 491:0.166335 497:0.105966 508:0.156642 509:0.166335 551:0.179996 599:0.18216 686:0.156642 741:0.149124 745:0.137787 767:0.094898 804:0.215784 848:0.087650999 855:0.099205002 857:0.219869 869:0.179996 875:0.112109 882:0.53998798 999:0.100773 
0.99999993212504223 8:0.106601 106:0.073449001 109:0.25551701 184:0.20297199 237:0.23612399 357:0.22236399 398:0.195599 446:0.195599 599:0.12929399 686:0.444729 688:0.118621 736:0.22236399 769:0.22236399 797:0.23612399 804:0.30632001 808:0.14783999 812:0.25551701 853:0.20297199 857:0.15606 882:0.25551701 
0.99999993212504223 17:0.093305998 155:0.149241 193:0.15249801 206:0.105365 245:0.204289 276:0.120382 323:0.15249801 349:0.15249801 366:0.143374 444:0.091582999 473:0.118784 480:0.179699 514:0.127428 571:0.21693 594:0.16865601 599:0.356352 656:0.179699 681:0.129381 727:0.408577 730:0.204289 804:0.14071 853:0.186472 857:0.43012199 915:0.127428 937:0.15601499 
-0.52081628095417565 26:0.140838 104:0.055916 106:0.232601 131:0.086560003 139:0.161835 219:0.161835 301:0.161835 302:0.14689501 330:0.046519998 342:0.11984 352:0.140838 357:0.140838 362:0.149553 424:0.097006001 471:0.149553 473:0.081890002 483:0.11984 486:0.24777099 509:0.149553 514:0.087848999 581:0.11984 588:0.080826998 599:0.245671 658:0.140838 661:0.161835 671:0.140838 686:0.140838 709:0.128555 726:0.28167599 797:0.149553 827:0.140838 848:0.078806996 853:0.128555 856:0.098843001 857:0.395372 882:0.161835 916:0.102888 971:0.232545 997:0.087848999 
-0.031362826463833149 15:0.13565201 95:0.16431101 115:0.120036 150:0.14998201 176:0.17447899 206:0.084746003 276:0.096823998 293:0.075760998 319:0.156425 323:0.122655 334:0.122655 361:0.16431101 398:0.14453401 446:0.72266799 468:0.109244 584:0.115317 665:0.122655 686:0.16431101 827:0.328623 857:0.115317 867:0.18880901 900:0.100987 927:0.07649 
-0.18134678203182159 15:0.077509001 34:0.085697003 68:0.093884997 70:0.082584001 121:0.093884997 150:0.085697003 193:0.070083 206:0.048423 220:0.077509001 231:0.070083 253:0.12484 276:0.055323999 286:0.077509001 303:0.093884997 316:0.082584001 341:0.089378998 342:0.079888001 420:0.067194 431:0.082584001 443:0.099693999 473:0.054589 514:0.058561999 555:0.107882 557:0.34278801 584:0.065889999 590:0.12702399 604:0.107882 637:0.099693999 639:0.093884997 643:0.099693999 659:0.079888001 686:0.18776999 691:0.085697003 717:0.065889999 748:0.085697003 817:0.058561999 821:0.107882 827:0.093884997 857:0.72479302 867:0.107882 920:0.089378998 931:0.089378998 948:0.070083 970:0.089378998 973:0.077509001 979:0.089378998 
-0.17866851466250913 8:0.056722 63:0.147605 105:0.12564 130:0.135959 210:0.354956 214:0.104077 230:0.108 242:0.12564 253:0.23599499 259:0.29304299 317:0.354956 322:0.118319 330:0.039081998 335:0.118319 349:0.088322997 387:0.090360001 435:0.118319 449:0.084680997 456:0.086437002 466:0.094999999 468:0.078665003 512:0.100679 517:0.080040999 554:0.38313299 572:0.097681001 593:0.108 653:0.11264 673:0.20916601 678:0.090360001 689:0.104077 754:0.12564 765:0.12564 777:0.077359997 785:0.100679 809:0.135959 827:0.118319 855:0.074933998 857:0.166077 909:0.070683002 927:0.055078998 973:0.195362 
-0.01794311521723754 5:0.136813 24:0.133058 41:0.087986998 71:0.087986998 94:0.051685002 106:0.054738998 133:0.052476998 140:0.087986998 167:0.070505999 179:0.028179999 183:0.075632997 188:0.072885998 189:0.082859002 230:0.075632997 244:0.078882001 264:0.072885998 280:0.072885998 297:0.072885998 304:0.0495 309:0.048179001 318:0.058152001 342:0.141012 349:0.061852999 353:0.078882001 359:0.121064 363:0.045249999 381:0.095213003 383:0.141012 384:0.087986998 385:0.082859002 389:0.12966099 396:0.072885998 397:0.141012 398:0.072885998 429:0.061852999 440:0.066528998 444:0.037145998 446:0.072885998 471:0.087986998 480:0.072885998 482:0.050198998 503:0.078882001 549:0.121064 554:0.044718001 586:0.056053001 588:0.095106997 594:0.068406999 599:0.048179001 627:0.075632997 662:0.078882001 679:0.057071999 686:0.248578 689:0.072885998 706:0.060532 734:0.066528998 739:0.136813 759:0.063280001 760:0.072885998 767:0.100397 772:0.058152001 808:0.055089999 824:0.082859002 827:0.082859002 853:0.075632997 855:0.052476998 874:0.082859002 882:0.66649002 885:0.070505999 897:0.126559 927:0.038573001 932:0.087986998 934:0.066528998 959:0.087986998 971:0.068406999 992:0.082859002