文件名称:BayesSpam-master
介绍说明－－下载内容均来自于网络，请自行研究使用
能够实现邮件分类，分出垃圾邮件，并且错误路在0.01%以下(To be able to classify mail and to separate spam)
相关搜索： 邮件分类
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| BayesSpam-master | 0 | 2017-12-01 |
| BayesSpam-master\.gitattributes | 378 | 2016-04-20 |
| BayesSpam-master\.gitignore | 649 | 2016-04-20 |
| BayesSpam-master\.project | 363 | 2016-04-20 |
| BayesSpam-master\.pydevproject | 454 | 2016-04-20 |
| BayesSpam-master\.settings | 0 | 2017-12-01 |
| BayesSpam-master\.settings\org.eclipse.core.resources.prefs | 356 | 2016-04-20 |
| BayesSpam-master\data | 0 | 2017-12-01 |
| BayesSpam-master\data\normal | 0 | 2017-12-01 |
| BayesSpam-master\data\normal\1000 | 1673 | 2016-04-20 |
| BayesSpam-master\data\normal\1001 | 1922 | 2016-04-20 |
| BayesSpam-master\data\normal\1002 | 3094 | 2016-04-20 |
| BayesSpam-master\data\normal\1003 | 3057 | 2016-04-20 |
| BayesSpam-master\data\normal\1004 | 2958 | 2016-04-20 |
| BayesSpam-master\data\normal\1006 | 1504 | 2016-04-20 |
| BayesSpam-master\data\normal\1007 | 3127 | 2016-04-20 |
| BayesSpam-master\data\normal\1008 | 3296 | 2016-04-20 |
| BayesSpam-master\data\normal\1009 | 1315 | 2016-04-20 |
| BayesSpam-master\data\normal\1010 | 1418 | 2016-04-20 |
| BayesSpam-master\data\normal\1011 | 1274 | 2016-04-20 |
| BayesSpam-master\data\normal\1012 | 1576 | 2016-04-20 |
| BayesSpam-master\data\normal\1013 | 1383 | 2016-04-20 |
| BayesSpam-master\data\normal\1014 | 1267 | 2016-04-20 |
| BayesSpam-master\data\normal\1015 | 1578 | 2016-04-20 |
| BayesSpam-master\data\normal\1016 | 1465 | 2016-04-20 |
| BayesSpam-master\data\normal\1017 | 1385 | 2016-04-20 |
| BayesSpam-master\data\normal\1018 | 1723 | 2016-04-20 |
| BayesSpam-master\data\normal\1019 | 1326 | 2016-04-20 |
| BayesSpam-master\data\normal\1020 | 1859 | 2016-04-20 |
| BayesSpam-master\data\normal\1021 | 1800 | 2016-04-20 |
| BayesSpam-master\data\normal\1022 | 2925 | 2016-04-20 |
| BayesSpam-master\data\normal\1023 | 2614 | 2016-04-20 |
| BayesSpam-master\data\normal\1024 | 1301 | 2016-04-20 |
| BayesSpam-master\data\normal\1025 | 1454 | 2016-04-20 |
| BayesSpam-master\data\normal\1026 | 1637 | 2016-04-20 |
| BayesSpam-master\data\normal\1027 | 1709 | 2016-04-20 |
| BayesSpam-master\data\normal\1028 | 2310 | 2016-04-20 |
| BayesSpam-master\data\normal\1029 | 3055 | 2016-04-20 |
| BayesSpam-master\data\normal\1030 | 1344 | 2016-04-20 |
| BayesSpam-master\data\normal\1031 | 1371 | 2016-04-20 |
| BayesSpam-master\data\normal\1032 | 2019 | 2016-04-20 |
| BayesSpam-master\data\normal\1033 | 1200 | 2016-04-20 |
| BayesSpam-master\data\normal\1034 | 2989 | 2016-04-20 |
| BayesSpam-master\data\normal\1035 | 1607 | 2016-04-20 |
| BayesSpam-master\data\normal\1036 | 1724 | 2016-04-20 |
| BayesSpam-master\data\normal\1037 | 1821 | 2016-04-20 |
| BayesSpam-master\data\normal\1038 | 2836 | 2016-04-20 |
| BayesSpam-master\data\normal\1039 | 2140 | 2016-04-20 |
| BayesSpam-master\data\normal\1040 | 1711 | 2016-04-20 |
| BayesSpam-master\data\normal\1041 | 1315 | 2016-04-20 |
| BayesSpam-master\data\normal\1042 | 1249 | 2016-04-20 |
| BayesSpam-master\data\normal\1043 | 2792 | 2016-04-20 |
| BayesSpam-master\data\normal\1044 | 1927 | 2016-04-20 |
| BayesSpam-master\data\normal\1045 | 1271 | 2016-04-20 |
| BayesSpam-master\data\normal\1047 | 3153 | 2016-04-20 |
| BayesSpam-master\data\normal\1048 | 1831 | 2016-04-20 |
| BayesSpam-master\data\normal\1049 | 1152 | 2016-04-20 |
| BayesSpam-master\data\normal\1051 | 1981 | 2016-04-20 |
| BayesSpam-master\data\normal\1052 | 1537 | 2016-04-20 |
| BayesSpam-master\data\normal\1053 | 1583 | 2016-04-20 |
| BayesSpam-master\data\normal\1054 | 1318 | 2016-04-20 |
| BayesSpam-master\data\normal\1055 | 1386 | 2016-04-20 |
| BayesSpam-master\data\normal\1056 | 1871 | 2016-04-20 |
| BayesSpam-master\data\normal\1057 | 2303 | 2016-04-20 |
| BayesSpam-master\data\normal\1058 | 1312 | 2016-04-20 |
| BayesSpam-master\data\normal\1059 | 1634 | 2016-04-20 |
| BayesSpam-master\data\normal\1060 | 1354 | 2016-04-20 |
| BayesSpam-master\data\normal\1061 | 2152 | 2016-04-20 |
| BayesSpam-master\data\normal\1062 | 1666 | 2016-04-20 |
| BayesSpam-master\data\normal\1063 | 3407 | 2016-04-20 |
| BayesSpam-master\data\normal\1064 | 2922 | 2016-04-20 |
| BayesSpam-master\data\normal\1065 | 2998 | 2016-04-20 |
| BayesSpam-master\data\normal\1066 | 2398 | 2016-04-20 |
| BayesSpam-master\data\normal\1067 | 1753 | 2016-04-20 |
| BayesSpam-master\data\normal\1068 | 1430 | 2016-04-20 |
| BayesSpam-master\data\normal\1069 | 1284 | 2016-04-20 |
| BayesSpam-master\data\normal\1070 | 1489 | 2016-04-20 |
| BayesSpam-master\data\normal\1071 | 1498 | 2016-04-20 |
| BayesSpam-master\data\normal\1072 | 1276 | 2016-04-20 |
| BayesSpam-master\data\normal\1073 | 1333 | 2016-04-20 |
| BayesSpam-master\data\normal\1074 | 2331 | 2016-04-20 |
| BayesSpam-master\data\normal\1075 | 3829 | 2016-04-20 |
| BayesSpam-master\data\normal\1076 | 1667 | 2016-04-20 |
| BayesSpam-master\data\normal\1081 | 1856 | 2016-04-20 |
| BayesSpam-master\data\normal\1083 | 1204 | 2016-04-20 |
| BayesSpam-master\data\normal\1084 | 1309 | 2016-04-20 |
| BayesSpam-master\data\normal\1085 | 1445 | 2016-04-20 |
| BayesSpam-master\data\normal\1087 | 1099 | 2016-04-20 |
| BayesSpam-master\data\normal\1088 | 1884 | 2016-04-20 |
| BayesSpam-master\data\normal\1089 | 1704 | 2016-04-20 |
| BayesSpam-master\data\normal\1090 | 1777 | 2016-04-20 |
| BayesSpam-master\data\normal\1091 | 1304 | 2016-04-20 |
| BayesSpam-master\data\normal\1092 | 1183 | 2016-04-20 |
| BayesSpam-master\data\normal\1093 | 1202 | 2016-04-20 |
| BayesSpam-master\data\normal\1094 | 2601 | 2016-04-20 |
| BayesSpam-master\data\normal\1095 | 2602 | 2016-04-20 |
| BayesSpam-master\data\normal\1096 | 3243 | 2016-04-20 |
| BayesSpam-master\data\normal\1097 | 2049 | 2016-04-20 |
| BayesSpam-master\data\normal\1098 | 1406 | 2016-04-20 |
| BayesSpam-master\data\normal\1099 | 1914 | 2016-04-20 |