I'm trying to understand what it is happening in my spamassassin 3.4.1 bayes system.
I make it learn a new message as spam and it learns it correctly, so that the message is reported BAYES_50. Unfortunately, after a few minutes, and with no new messages learnt (autolearn=no), the message is reported as BAYES_00 !!! I'm testing with command line spamassassin -t file. Since I don't teach any new message to the bayes system, how can it change idea on a message in a few minutes? Please note that these messages are in italian. I list the result of --dump magic since I noticed a very large difference between nspam and nham... sincerely I can't interpret if these numbers are good or not ... Thank you Francesco $ sa-learn --dump magic netset: cannot include 127.0.0.0/8 as it has already been included netset: cannot include 0:0:0:0:0:0:0:1/128 as it has already been included 0.000 0 3 0 non-token data: bayes db version 0.000 0 1042011 0 non-token data: nspam 0.000 0 66472 0 non-token data: nham 0.000 0 663479 0 non-token data: ntokens 0.000 0 1558905855 0 non-token data: oldest atime 0.000 0 1558951293 0 non-token data: newest atime 0.000 0 0 0 non-token data: last journal sync atime 0.000 0 1558948806 0 non-token data: last expiry atime 0.000 0 43200 0 non-token data: last expire atime delta 0.000 0 191486 0 non-token data: last expire reduction count
