?? temp.train.txt.model
字號:
svm_type c_svc
kernel_type polynomial
degree 1
gamma 10
coef0 0
nr_class 2
total_sv 408
rho 0.39967
label 1 0
nr_sv 180 228
SV
1.955360722564689 103:0.071097 350:0.071097 650:0.071097 1236:0.071097 2981:0.071097 4158:0.071097 5271:0.071097 5468:0.071097 7038:0.071097 16242:0.14683 23702:0.071097 25944:0.071097 38822:0.071097
0.295347768148683 18:0.047035 62:0.047035 260:0.097136 276:0.047035 337:0.047035 395:0.047035 603:0.047035 653:0.047035 790:0.097136 791:0.097136 828:0.047035 1935:0.047035 1982:0.047035 2238:0.047035 5471:0.047035 5672:0.097136 16964:0.047035
0.9722995482400468 1565:0.24752 2738:0.12541 3216:0.12541 6745:0.12541 6968:0.12541 13535:0.12541 20786:0.12541
0.4345694448271625 103:0.043158 439:0.043158 698:0.043158 964:0.043158 1383:0.043158 1565:0.13403 2395:0.043158 2482:0.043158 2738:0.043158 3216:0.043158 3507:0.043158 6179:0.043158 6745:0.043158 6968:0.043158 8024:0.043158 8903:0.043158 13427:0.08913 13535:0.043158 20786:0.043158 38685:0.043158
0.658170805802701 30:0.035714 103:0.035714 373:0.035714 392:0.035714 439:0.035714 698:0.035714 928:0.035714 1194:0.035714 1425:0.035714 1803:0.035714 2292:0.035714 2462:0.035714 2469:0.035714 2916:0.035714 4014:0.035714 4636:0.035714 4886:0.035714 6745:0.035714 7189:0.035714 7202:0.035714 7558:0.035714 10100:0.035714 10484:0.035714 10780:0.035714 11187:0.035714 13427:0.035714 20786:0.035714 38691:0.035714
2.347515967224575 171:0.034483 260:0.034483 373:0.034483 592:0.034483 629:0.034483 646:0.034483 698:0.034483 790:0.034483 852:0.034483 928:0.034483 1039:0.034483 1194:0.034483 2292:0.034483 2462:0.034483 2675:0.034483 2916:0.034483 3320:0.034483 3326:0.034483 3521:0.034483 4014:0.034483 4018:0.034483 4636:0.034483 4886:0.034483 5702:0.034483 7189:0.034483 7286:0.034483 10780:0.034483 11187:0.034483 41059:0.034483
0.7193758472884105 178:0.25 1191:0.25 1328:0.25 9249:0.25
3.755820608536663 14:0.041667 91:0.041667 103:0.041667 121:0.041667 171:0.041667 218:0.041667 708:0.041667 722:0.041667 914:0.041667 1021:0.041667 2077:0.041667 2137:0.041667 2260:0.041667 2270:0.041667 2396:0.041667 2746:0.041667 4823:0.041667 6421:0.041667 7769:0.041667 7960:0.041667 8014:0.041667 11231:0.041667 16306:0.041667 26550:0.041667
1.249820108938812 121:0.033117 171:0.033117 183:0.033117 246:0.068394 543:0.033117 646:0.033117 771:0.033117 914:0.033117 1068:0.033117 1366:0.033117 1425:0.068394 1701:0.033117 2137:0.033117 2205:0.033117 2260:0.033117 2270:0.033117 2482:0.068394 2746:0.033117 2933:0.033117 4676:0.033117 4679:0.033117 6975:0.033117 7286:0.033117 8014:0.033117 16306:0.033117 23799:0.033117 26550:0.033117
2.36731646201637 95:0.034483 104:0.034483 246:0.034483 269:0.034483 439:0.034483 564:0.034483 735:0.034483 986:0.034483 1039:0.034483 1599:0.034483 2260:0.034483 2270:0.034483 2482:0.034483 2981:0.034483 3629:0.034483 3995:0.034483 4991:0.034483 5868:0.034483 6304:0.034483 6944:0.034483 7267:0.034483 10214:0.034483 10818:0.034483 10845:0.034483 12312:0.034483 17244:0.034483 19745:0.034483 20081:0.034483 23806:0.034483
1.366141523198586 40:0.038501 95:0.038501 246:0.038501 269:0.038501 414:0.038501 439:0.038501 462:0.038501 463:0.038501 986:0.038501 1039:0.038501 2260:0.038501 2270:0.038501 2482:0.075987 3629:0.038501 3987:0.038501 3995:0.038501 4991:0.038501 6139:0.038501 6304:0.038501 10214:0.038501 10818:0.038501 10845:0.038501 17244:0.038501 19745:0.038501 20081:0.038501
0.3077283093060619 40:0.11628 95:0.058915 414:0.058915 462:0.058915 463:0.058915 465:0.058915 473:0.058915 1234:0.058915 1453:0.058915 2237:0.058915 2482:0.058915 3657:0.058915 3987:0.058915 6139:0.058915 7494:0.058915 10214:0.058915
0.707230533201887 40:0.055637 180:0.055637 304:0.055637 384:0.055637 439:0.055637 473:0.055637 645:0.055637 709:0.055637 941:0.055637 2237:0.10981 3095:0.055637 3657:0.055637 3660:0.055637 3987:0.055637 4945:0.055637 10324:0.055637 25763:0.055637
1.414179901786354 102:0.052705 104:0.052705 180:0.052705 283:0.052705 304:0.052705 384:0.052705 439:0.052705 666:0.052705 709:0.052705 722:0.052705 941:0.052705 1425:0.052705 2053:0.052705 2237:0.10402 2404:0.052705 3987:0.052705 10214:0.052705 10324:0.052705
0.1527764175326309 31:0.092502 62:0.044791 127:0.044791 472:0.044791 608:0.044791 631:0.044791 663:0.092502 1125:0.044791 1510:0.092502 2670:0.044791 3320:0.092502 4186:0.044791 4950:0.092502 7242:0.044791 10343:0.044791 12710:0.044791 19034:0.044791
0.4057162278354313 31:0.10431 127:0.052851 183:0.052851 188:0.052851 304:0.052851 524:0.052851 663:0.10431 862:0.052851 928:0.052851 1125:0.052851 1510:0.052851 3320:0.052851 4186:0.052851 4950:0.10431 12710:0.052851 19034:0.052851
2.735286595942506 31:0.05 32:0.05 62:0.05 176:0.05 183:0.05 185:0.05 188:0.05 304:0.05 524:0.05 663:0.05 862:0.05 928:0.05 1696:0.05 1715:0.05 1837:0.05 2294:0.05 2341:0.05 4917:0.05 4950:0.05 12710:0.05
1.415604058338851 31:0.084897 32:0.041108 62:0.084897 127:0.041108 176:0.041108 183:0.041108 185:0.041108 663:0.041108 928:0.041108 1518:0.041108 1696:0.084897 1715:0.041108 1837:0.041108 2294:0.041108 2341:0.041108 4917:0.084897 4950:0.084897 10621:0.041108 12710:0.041108
1.87807447709389 40:0.049838 62:0.049838 645:0.049838 814:0.049838 894:0.049838 1177:0.049838 2000:0.049838 2732:0.049838 3084:0.049838 3650:0.049838 3704:0.049838 3780:0.049838 3864:0.049838 3894:0.049838 4412:0.049838 5136:0.10292 5137:0.049838 14580:0.049838 19278:0.049838
0.2329081163202107 40:0.077271 91:0.077271 104:0.077271 110:0.077271 119:0.077271 645:0.22933 2278:0.077271 3894:0.077271 5136:0.077271 5137:0.15251
0.04638970100324757 14580:1
1.37310589097378 9:0.043478 62:0.043478 103:0.043478 110:0.043478 119:0.043478 268:0.043478 394:0.043478 395:0.043478 2278:0.043478 2294:0.043478 2970:0.043478 4412:0.043478 5136:0.043478 5137:0.043478 5624:0.043478 5800:0.043478 6417:0.043478 8414:0.043478 9339:0.043478 10752:0.043478 19278:0.043478 20422:0.043478 25686:0.043478
0.2065762437408958 62:0.10239 267:0.049577 311:0.049577 484:0.049577 509:0.049577 572:0.049577 727:0.049577 1550:0.049577 2422:0.049577 2697:0.049577 2743:0.049577 4689:0.049577 5671:0.049577 7183:0.049577 7242:0.15396 8951:0.049577 21848:0.049577
0.6438871660922005 62:0.14007 84:0.045105 267:0.045105 311:0.045105 383:0.045105 484:0.045105 521:0.045105 1121:0.045105 1670:0.045105 2422:0.045105 4689:0.045105 5671:0.045105 6142:0.045105 7183:0.045105 7242:0.09315 9796:0.045105 21848:0.045105 35919:0.045105 46084:0.045105
0.9274410727446667 62:0.10997 84:0.055719 383:0.055719 436:0.055719 521:0.055719 627:0.055719 1121:0.055719 1225:0.055719 1670:0.055719 6142:0.055719 7242:0.055719 8925:0.055719 9796:0.055719 25302:0.10997 35919:0.055719 46084:0.055719
1.065036263861205 64:0.044841 103:0.044841 198:0.044841 269:0.044841 494:0.13925 521:0.044841 536:0.044841 649:0.044841 1664:0.044841 2490:0.044841 3095:0.044841 4158:0.044841 4823:0.092605 5560:0.044841 6868:0.092605 7960:0.092605 24288:0.044841
1.294047993809207 62:0.089034 64:0.043112 198:0.043112 269:0.043112 431:0.043112 521:0.043112 649:0.043112 763:0.043112 1664:0.043112 2217:0.043112 2490:0.043112 3095:0.043112 4158:0.043112 4823:0.089034 5560:0.043112 5596:0.043112 6868:0.043112 7960:0.089034 7961:0.043112 35805:0.043112
0.8625634810112132 103:0.066667 171:0.066667 183:0.066667 260:0.066667 559:0.066667 945:0.066667 1068:0.066667 2041:0.066667 3914:0.066667 4822:0.066667 5234:0.066667 7242:0.066667 7930:0.066667 46000:0.066667 64696:0.066667
2.585337020593968 2:0.058935 50:0.058935 53:0.058935 62:0.17491 236:0.058935 515:0.058935 571:0.058935 727:0.058935 791:0.058935 841:0.058935 1211:0.058935 1221:0.058935 1438:0.058935 2046:0.058935 5370:0.058935
0.5695268645434871 117:1
3.235291414404244 103:0.045238 110:0.045238 142:0.045238 276:0.045238 449:0.045238 466:0.045238 536:0.045238 822:0.045238 849:0.14048 881:0.045238 963:0.045238 1078:0.045238 1295:0.045238 1563:0.045238 1584:0.045238 1979:0.045238 1980:0.045238 2821:0.045238 3235:0.045238 8473:0.045238
3.04235314937701 62:0.039832 67:0.039832 435:0.039832 696:0.039832 770:0.039832 841:0.039832 843:0.039832 1054:0.039832 1453:0.039832 1476:0.039832 1982:0.039832 2234:0.039832 2464:0.039832 2560:0.039832 3907:0.039832 4317:0.039832 5972:0.039832 7189:0.039832 7962:0.039832 8361:0.039832 8472:0.039832 8481:0.1237 12034:0.039832
1.074298854806023 608:0.2 4109:0.2 4627:0.2 5684:0.2 7955:0.2
0.9683743789865363 121:0.045187 127:0.093319 186:0.045187 423:0.045187 1140:0.045187 1150:0.045187 1633:0.045187 1898:0.045187 2111:0.045187 2517:0.093319 3911:0.045187 3987:0.045187 3992:0.045187 4030:0.045187 4995:0.045187 5017:0.045187 5672:0.045187 7242:0.045187 8542:0.045187 15622:0.045187
2.728593791551974 18:0.047035 25:0.047035 43:0.047035 276:0.097136 478:0.097136 480:0.097136 712:0.047035 722:0.047035 1039:0.047035 1492:0.047035 2295:0.047035 3215:0.097136 3755:0.047035 3920:0.047035 7061:0.047035 18251:0.047035 24080:0.047035
0.2066596776178114 18:0.047619 25:0.047619 43:0.047619 62:0.047619 71:0.047619 84:0.047619 142:0.047619 145:0.047619 276:0.047619 337:0.047619 394:0.047619 478:0.047619 480:0.047619 712:0.047619 722:0.047619 1039:0.047619 2295:0.047619 3037:0.047619 3215:0.047619 3755:0.047619 8220:0.047619
1.754715022104199 62:0.10446 71:0.052925 84:0.052925 85:0.052925 142:0.052925 145:0.052925 183:0.10446 185:0.10446 276:0.052925 767:0.052925 1039:0.10446 1332:0.052925 1490:0.052925 3215:0.052925 3805:0.052925
4.556125011737094 62:0.047325 71:0.097736 84:0.047325 113:0.047325 145:0.097736 147:0.047325 185:0.047325 332:0.047325 382:0.047325 394:0.047325 631:0.047325 663:0.047325 767:0.047325 894:0.047325 961:0.047325 3037:0.047325 3415:0.047325 4799:0.047325 12750:0.047325
0.4085760493273316 62:0.08808 71:0.04265 84:0.04265 145:0.13245 147:0.13245 332:0.04265 382:0.04265 383:0.04265 663:0.04265 894:0.04265 961:0.13245 2372:0.04265 3037:0.04265 3415:0.04265 12750:0.08808
0.2256703539868432 71:0.1674 309:0.1674 766:0.1674 1062:0.3304 26537:0.1674
2.652235100848538 62:0.082393 69:0.039896 79:0.039896 126:0.039896 188:0.039896 304:0.039896 389:0.039896 428:0.039896 436:0.039896 643:0.039896 650:0.039896 979:0.039896 1039:0.039896 1058:0.039896 1749:0.039896 2234:0.039896 2804:0.039896 3529:0.039896 5331:0.039896 6548:0.039896 7963:0.039896 8380:0.039896 10560:0.039896 23644:0.039896
0.8784371718452528 62:0.045455 79:0.045455 276:0.045455 436:0.045455 478:0.045455 480:0.045455 979:0.045455 1039:0.045455 1492:0.045455 2234:0.045455 2804:0.045455 3215:0.045455 3920:0.045455 5331:0.045455 6548:0.045455 7061:0.045455 7963:0.045455 8380:0.045455 10560:0.045455 18251:0.045455 23644:0.045455 24080:0.045455
2.508142626248574 62:0.038462 79:0.038462 85:0.038462 103:0.038462 119:0.038462 145:0.038462 296:0.038462 517:0.038462 931:0.038462 974:0.038462 1245:0.038462 1510:0.038462 1976:0.038462 3415:0.038462 3728:0.038462 3803:0.038462 4977:0.038462 5331:0.038462 8420:0.038462 8801:0.038462 9258:0.038462 17032:0.038462 23644:0.038462 25917:0.038462 35841:0.038462 35842:0.038462
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