Hi David,
The probabilities in the file written by BLOG are Unnormalized Probabilities, i.e. \sum\limits_x exp(x) does not need to be 1.
To get the posterior probabilities, you need to normalize the output by yourself. For example:
Pr[Burglary = false] = exp(2.5786625920876856) / (exp(2.5786625920876856) + exp(1.617406082083277)) = 0.7233733088174801.
Pr[Burglary = true] = exp(1.617406082083277) / (exp(2.5786625920876856) + exp(1.617406082083277)) = 0.2766266911825274.
I hope this answers your question.
Best Regards,
Da Tang
在 2015年5月12日星期二 UTC+8下午1:45:38,David Wadden写道: