timonecomcastnet tim peters anthony baxter ive got test set thats last 3 bit years email infoekitcom infoeknocom really ugly set 20000 messages currently broken 7000 spam 9000 ham 9000 currently unclassified addresses 70some different ekiteknoisiconnect websites get lot spam well usual spam also customers complaining credit card charges people interested service asking questions long distance rates c c c lots lots commercial speech words stuff sa gets pretty badly wrong corpus shared suppose im currently mangling feeding parts text html whatever else filters well selected number headers contenttype xmailer also list header count_of_header showing nice stuff eg xuidl stoopid spammers blindly copy messages ever shared corpus easy refactoring timtest allow plug different tokenizers ive made three changes grahams algorithm far well ive made dozens three survived testing proven winners rest refining tokenization provide better clues received moment causes rates drop thats ambiguous accuracy rates error rates ham spam rates im also stripping html tags except href src theres much goodness note im keeping contents attributes mining embedded httphttpsftp thingies cut false negative rate half tests keying href scanning anything looked like one single biggest fn improvement ive seen didnt change false positive rate know whether src added additional power fri 06 sep 2002 105938 0400 spambayes test sets