Hi List, I realize I asked this question a bit ago but nobody seemed to know anything so I'm asking again to double check:
 
What is chi squared combining and how does it affect bayesian filtering?
 
Quoting from the docs:
 
bayes_use_chi2_combining (default: 0)
Should the Bayesian classifier use chi-squared combining, instead of Robinson/Graham-style naive Bayesian combining? Chi-squared produces more 'extreme' output results, but may be more resistant to changes in corpus size etc.
 
This isn't very clear to me...can anyone give a more in-depth explanation?
 
Thankyou.
 
Matt Tolton
Network Administrator
JDI Technologies, Inc.
Ph: 818-936-7000 x124

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