bayes learn best practice

[Arthur Kerpician]

Hi,
I recently upgraded to 3.2.5 and re-trained bayes db from scratch. The 
auto-learn is on so now I have about 6000 mails trained as spam and 3000 
as ham. I tried to manually keep both spam and ham at the same level in 
the bayes db but it seems that spamassassin is learning spam twice as 
fast as ham. The docs mention that after 5000 spam and ham learned, 
spamassassin doesn't improve spam detection much. What is the best 
practice to optimize the bayes detection? Should I stop auto-learning 
after reaching the 5000 mark and than re-train from time to time from 
scratch?

Thanks,
Arthur