Am 25.09.2014 um 16:02 schrieb Deeztek Support: > On 9/25/2014 9:26 AM, Deeztek Support wrote: >> On 9/25/2014 6:31 AM, Matus UHLAR - fantomas wrote: >> > On 24.09.14 14:03, Deeztek Support wrote: >> >> score BAYES_00 0.000 >> > >> > why 0? current is -1.5 without and -1.9 with network checks... >> >> Do you mean that the default is supposed to be -1.5 without networks >> tests and -1.9 with network tests? > > I went ahead and set BAYES_00 to -1.9 and I just received a spam message with > these headers: > > X-Spam-Status: No, score=0.204 tagged_above=-999 required=0.6 > tests=[BAYES_00=-1.9, DCC_CHECK=1.1, FROM_STARTS_WITH_NUMS=0.738, > RP_MATCHES_RCVD=-0.735, URIBL_BLOCKED=0.001, URI_OPTOUT_3LD=1] > autolearn=disabled > > From looking at it, it looks like the BAYES_00 took away -1.9 which made the > difference of whether or not it got > tagged as spam or not. I don't think -1.9 is the correct setting here. Any > thoughts?
train your bayse better, ihave around 1500 ham and 1500 spam messages classified with no autolearning at all, sa-milter rejects with a score above 8 and the bayes is nearly error free that's why BAYES_99 together with score BAYES_999 0.5 since it happens only very rare for legit mail and that ones have mostly whitelists, SPF, DKIM to keep the result below 8 score BAYES_00 -2.5 score BAYES_05 -0.7 score BAYES_20 -0.06 score BAYES_40 -0.03 score BAYES_50 2.0 score BAYES_60 3.0 score BAYES_80 3.7 score BAYES_95 5.8 score BAYES_99 7.5 score BAYES_999 0.5 [sa-milt@mail-gw:~/training]$ ls ham/ | wc -l 1746 [sa-milt@mail-gw:~/training]$ ls spam/ | wc -l 1712
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