 neil schemenauer woops i didn t have the summary files so i regenerated them using a slightly different set of data here are the results of enabling the received header processing false positive percentages NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER tied NUMBER NUMBER NUMBER NUMBER tied NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER won NUMBER times tied NUMBER times lost NUMBER times total unique fp went from NUMBER to NUMBER won NUMBER NUMBER false negative percentages NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER tied NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER tied won NUMBER times tied NUMBER times lost NUMBER times total unique fn went from NUMBER to NUMBER won NUMBER NUMBER my test set is different than tim s in that all the email was received by the same account also my set contains email sent to me not to mailing lists i use a different addresses for mailing lists enabling the received headers works even better for me wink here s the f n section from a quick run on NUMBER element subsets NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER tied NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER tied NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER NUMBER NUMBER NUMBER NUMBER lost was NUMBER NUMBER NUMBER NUMBER NUMBER won NUMBER NUMBER won NUMBER times tied NUMBER times lost NUMBER times total unique fn went from NUMBER to NUMBER won NUMBER NUMBER a huge improvement but for wrong reasons except not entirely the most powerful discriminator in the whole database on one training set became received unknown NUMBER NUMBER NUMBER that s got nothing to do with bruceg right received bfsmedia com was also a strong spam indicator across all training sets i m jealous if people cook up more ideas i will be happy to test them neil are using your own tokenizer now or the tokenizer tokenizer tokenize generator whichever someone who s not afraid of their headers should try adding mboxtest mytokenizer tokenize_headers into the mix once in lieu of tokenizer tokenizer tokenize_headers and again in addition to it jeremy reported on just the former 