https://issues.apache.org/SpamAssassin/show_bug.cgi?id=6942
--- Comment #14 from Mark Martinec <[email protected]> --- > > > 12240246 non-token data: nspam > > > 5076877 non-token data: nham > > > used_memory_human:3.10G > > Suggesting: bayes_auto_learn_on_error 1 > > why? >From the stats it seems to me like a large number of tokens, and 3 GB of resident storage is on a high side and probably growing still at the same rate (until expiration kicks in). The bayes_auto_learn_on_error can reduce the growth rate substantially, without sacrificing much on the quality of results. Some studies even indicated that a learn_on_error strategy increased the classification quality (but I won't speculate on that here). -- You are receiving this mail because: You are the assignee for the bug.
