Am 20.05.2016 um 16:20 schrieb Kris Deugau:
Emin Akbulut wrote:I tried to train SA with tons of spam messages which contains zip file (includes .js) The max spam score was lesser than 5 so I did set 4 to delete messsages. Then same kind of spam messages appear with the score of lesser than 2. In short; training the SA seems not helpful. What do you suggest to fight these spams?I've had some luck doing that, but it takes a while
make 10 copies of such a message and change date/message-id headerin fact we have a "spamfilter-retrain /path/to/sample.eml" which creates 5 copies per call in the corpus folder and when something i train not get's BAYES_99 it's called as long as it hits BAYES_99 (except rare caeses which you need to ignore and can't tran that way)
why should i wait until i get the same crap 10 times fro outside?
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