timonecomcastnet tim peters neil schemenauer woops didnt summary files regenerated using slightly different set data results enabling received header processing false positive percentages 0707 0530 2504 0873 0524 3998 0301 0301 tied 1047 1047 tied 0602 0452 2492 0353 0177 4986 4 times tied 2 times lost 0 times total unique fp went 17 14 1765 false negative percentages 2167 1238 4287 0969 0969 tied 1887 1372 2729 1616 1292 2005 1029 0858 1662 1548 1548 tied 4 times tied 2 times lost 0 times total unique fn went 50 38 2400 test set different tims email received account also set contains email sent mailing lists use different addresses mailing lists enabling received headers works even better heres fn section quick run 500element subsets 0600 0200 6667 0200 0200 tied 0200 0000 10000 0800 0400 5000 0400 0200 5000 0400 0000 10000 0200 0000 10000 1000 0400 6000 0800 0200 7500 1200 0600 5000 0400 0200 5000 2000 0800 6000 0400 0400 tied 1200 0600 5000 0400 0000 10000 2000 1000 5000 0400 0000 10000 0800 0000 10000 0000 0200 lost 0 0400 0000 10000 17 times tied 2 times lost 1 times total unique fn went 38 15 6053 huge improvement wrong reasons except entirely powerful discriminator whole database one training set became receivedunknown 881 099 thats got nothing bruceg right receivedbfsmediacom also strong spam indicator across training sets im jealous people cook ideas happy test neil using tokenizer tokenizertokenizertokenize generator whichever someone whos afraid headers try adding mboxtestmytokenizertokenize_headers mix lieu tokenizertokenizertokenize_headers addition jeremy reported former sun 08 sep 2002 233600 0400 spambayes testing results