What output does the command "sa-learn --dump magic" produce?
On Fri, 19 Apr 2013, Joe Acquisto-j4 wrote:
0.000 0 1872 0 non-token data: nspam
0.000 0 9184 0 non-token data: nham
On 19.04.13 07:41, John Hardin wrote:
Generally you want the ratio of trained messages to reflect the ratio
of mail you're seeing. Most people get a lot more spam than ham, so
it looks like you need a lot more spam trained in.
I try to maintain at least a 2:1 spam:ham ratio.
well, I have similar ratio than above:
0.000 0 1736 0 non-token data: nspam
0.000 0 54729 0 non-token data: nham
and it still catches most of spam...
Note that false negatives (non-catched spam) are still better than false
positives (catched non-spam).
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