temp.train.txt

Multiple INstance Learning Library

1 13:0.0625 62:0.0625 244:0.0625 268:0.0625 727:0.0625 784:0.0625 785:0.0625 786:0.0625 1234:0.0625 2514:0.0625 4823:0.0625 4884:0.0625 5432:0.0625 7955:0.0625 7960:0.0625 26135:0.0625 
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1 4:0.047619 62:0.047619 109:0.047619 155:0.047619 268:0.047619 311:0.047619 439:0.047619 754:0.047619 791:0.047619 1118:0.047619 1280:0.047619 1418:0.047619 1496:0.047619 1513:0.047619 2514:0.047619 3608:0.047619 3612:0.047619 3641:0.047619 4995:0.047619 7242:0.047619 7957:0.047619 
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1 40:0.25176 410:0.049241 571:0.049241 1406:0.049241 2147:0.049241 2229:0.049241 3609:0.10169 4064:0.049241 5136:0.049241 7662:0.10169 11759:0.049241 28399:0.049241 34966:0.10169 
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1 276:0.49669 506:0.25166 4338:0.25166 
1 37:0.062246 75:0.062246 169:0.062246 198:0.062246 276:0.12855 465:0.062246 475:0.062246 506:0.062246 1061:0.062246 1106:0.062246 2223:0.062246 2294:0.062246 3987:0.062246 4338:0.062246 22738:0.062246 
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1 37:0.049676 131:0.049676 152:0.049676 235:0.049676 372:0.049676 396:0.049676 491:0.10259 564:0.049676 771:0.049676 1425:0.049676 1658:0.049676 1787:0.049676 1858:0.049676 2100:0.049676 2237:0.049676 2408:0.049676 11097:0.049676 13427:0.10259 
1 152:0.059098 235:0.059098 443:0.059098 491:0.11664 564:0.059098 771:0.059098 854:0.059098 1008:0.059098 1425:0.059098 2100:0.11664 2237:0.059098 11097:0.059098 13427:0.11664 19583:0.059098 
1 62:0.042917 117:0.042917 235:0.042917 269:0.042917 443:0.042917 491:0.088631 523:0.042917 564:0.042917 638:0.042917 771:0.042917 854:0.042917 1008:0.088631 1234:0.042917 1787:0.042917 2100:0.13328 11097:0.042917 13427:0.042917 19583:0.088631 
1 14:0.035898 60:0.035898 62:0.035898 117:0.035898 235:0.10654 269:0.035898 439:0.035898 491:0.070851 523:0.070851 564:0.10654 638:0.035898 771:0.035898 1008:0.035898 1030:0.035898 1234:0.035898 1544:0.035898 1787:0.035898 2100:0.070851 11097:0.035898 13427:0.035898 19583:0.035898 
1 14:0.049259 60:0.049259 91:0.049259 235:0.10173 372:0.049259 439:0.049259 491:0.049259 523:0.049259 564:0.10173 1030:0.049259 1544:0.049259 2100:0.15297 2437:0.049259 13427:0.10173 24201:0.049259 
1 57:0.061995 60:0.061995 91:0.061995 235:0.061995 372:0.061995 936:0.061995 1400:0.061995 1681:0.061995 2094:0.061995 2100:0.12803 2329:0.061995 2437:0.061995 13427:0.12803 24201:0.061995 
1 53:0.043112 57:0.043112 60:0.089034 162:0.043112 235:0.089034 771:0.043112 899:0.043112 936:0.043112 1008:0.043112 1197:0.043112 1400:0.043112 1505:0.043112 1681:0.043112 1858:0.043112 2085:0.043112 2094:0.089034 2329:0.043112 2408:0.043112 13427:0.043112 19583:0.043112 
1 28:0.037037 53:0.037037 60:0.037037 62:0.037037 162:0.037037 235:0.037037 493:0.037037 597:0.037037 771:0.037037 835:0.037037 899:0.037037 1008:0.037037 1197:0.037037 1505:0.037037 1858:0.037037 2085:0.037037 2094:0.037037 2408:0.037037 3606:0.037037 3860:0.037037 4702:0.037037 5467:0.037037 6885:0.037037 7297:0.037037 7438:0.037037 12198:0.037037 19583:0.037037 
1 299:0.090909 565:0.090909 771:0.090909 835:0.090909 1490:0.090909 2085:0.090909 2094:0.090909 4702:0.090909 6757:0.090909 13427:0.090909 19583:0.090909 
1 37:0.04532 131:0.04532 299:0.04532 372:0.04532 396:0.04532 491:0.04532 565:0.04532 771:0.04532 835:0.04532 1490:0.04532 1658:0.04532 1787:0.04532 1858:0.04532 2085:0.04532 2094:0.04532 2100:0.04532 2408:0.04532 4702:0.04532 6757:0.04532 13427:0.093595 19583:0.04532 
1 28:0.037073 62:0.037073 309:0.037073 370:0.037073 493:0.037073 565:0.037073 597:0.037073 608:0.037073 759:0.037073 835:0.037073 2094:0.037073 2585:0.037073 2631:0.037073 3021:0.037073 3606:0.037073 3860:0.037073 4702:0.07317 4703:0.037073 4704:0.037073 5467:0.037073 6885:0.037073 7297:0.037073 7438:0.037073 12198:0.037073 13427:0.037073 24401:0.037073 
1 309:0.037109 370:0.037109 565:0.073242 597:0.037109 608:0.037109 759:0.037109 786:0.037109 835:0.037109 1387:0.037109 1490:0.037109 1858:0.037109 2085:0.037109 2094:0.037109 2175:0.037109 2585:0.037109 2631:0.037109 3021:0.037109 4702:0.037109 4703:0.037109 4704:0.037109 5672:0.037109 8024:0.037109 10484:0.037109 13427:0.073242 24401:0.037109 
1 62:0.125 183:0.125 2529:0.125 7242:0.125 8765:0.125 14022:0.125 14237:0.125 16756:0.125 
1 62:0.052632 140:0.052632 183:0.052632 341:0.052632 1493:0.052632 2029:0.052632 2529:0.052632 2946:0.052632 3637:0.052632 4831:0.052632 6381:0.052632 7242:0.052632 8765:0.052632 9297:0.052632 9764:0.052632 9784:0.052632 14022:0.052632 14237:0.052632 16756:0.052632 
1 5:0.043478 46:0.043478 140:0.043478 327:0.043478 341:0.043478 345:0.043478 380:0.043478 470:0.043478 510:0.043478 1387:0.043478 1493:0.043478 1641:0.043478 2029:0.043478 2946:0.043478 3514:0.043478 3637:0.043478 3728:0.043478 4831:0.043478 6381:0.043478 6602:0.043478 9297:0.043478 9764:0.043478 9784:0.043478 
1 5:0.035714 46:0.035714 142:0.035714 145:0.035714 266:0.035714 269:0.035714 327:0.035714 345:0.035714 380:0.035714 448:0.035714 470:0.035714 510:0.035714 603:0.035714 1021:0.035714 1323:0.035714 1387:0.035714 1541:0.035714 1641:0.035714 2279:0.035714 3514:0.035714 3728:0.035714 5763:0.035714 6602:0.035714 7242:0.035714 11263:0.035714 11343:0.035714 11772:0.035714 30611:0.035714 
1 30:0.034252 46:0.034252 142:0.070736 145:0.070736 266:0.034252 269:0.034252 327:0.034252 448:0.034252 603:0.034252 649:0.034252 1021:0.034252 1323:0.034252 1541:0.034252 1988:0.034252 2279:0.034252 2851:0.034252 3089:0.034252 3219:0.034252 4311:0.034252 4823:0.034252 5763:0.034252 7242:0.034252 11263:0.034252 11343:0.034252 11772:0.034252 30611:0.070736 
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1 14:0.066667 126:0.066667 142:0.066667 622:0.066667 715:0.066667 889:0.066667 1074:0.066667 1506:0.066667 1740:0.066667 2531:0.066667 2840:0.066667 3437:0.066667 7072:0.066667 11929:0.066667 44975:0.066667 
1 126:0.055719 142:0.055719 359:0.055719 450:0.055719 715:0.055719 889:0.055719 963:0.10997 1506:0.055719 1740:0.055719 2531:0.055719 2840:0.055719 3990:0.055719 4587:0.055719 7065:0.10997 7431:0.055719 11929:0.055719 
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1 155:0.04471 260:0.092335 359:0.04471 448:0.04471 759:0.04471 790:0.04471 791:0.092335 963:0.13885 1418:0.04471 1740:0.092335 1908:0.04471 3483:0.04471 3990:0.092335 7065:0.04471 7351:0.04471 7680:0.04471 
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1 14:0.16667 622:0.16667 1074:0.16667 3437:0.16667 7072:0.16667 44975:0.16667 
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1 30:0.25 2436:0.25 4743:0.25 6789:0.25 
1 3593:0.25 7003:0.25 12168:0.25 23875:0.25