On Tue, 13 Feb 2018 21:02:46 +0000
Horváth Szabolcs wrote:
One more question: is there a recommended ham to spam ratio? 1:1?
On 14.02.18 15:09, RW wrote:
No, this is a myth. Bayes computes token probabilities from a token's
frequencies in spam and ham, so it all scales through. If you have
2000 ham and 200 spam the problem is too few spams, not a bad ratio.
my experience says you will need more ham than spam, because you want to get
rid of false positives (ham marked as spam) much more than of false negatives.
what really matters is how many of FP/FNs you have, you can decrease
probability by training anything too far from BAYES_00 for ham and BAYES_99
for ham
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