Bayesian

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The Bayesian Analyzer uses statistics to determine whether an email is spam based on analysis of previous emails. We have included a brief description of how it works.


Max Points  sets the maximum number of points that the Bayesian Analyzer can contribute the spam score. If the Bayesian Analyzer is not certain, then only a couple of points might be added or deducted.


Only add points to spam  Setting this option will cause the Bayesian Analyzer to only add to the spam score. The number of points it adds is determined by the statistical analysis.


Add and subtract points  Setting this option will allow the Bayesian Analyzer to add points for spam and deduct points if the email message is determined statistically to be a good message. With this option set, the Bayesian Analyzer can add or deduct Max Points.


You must train the Bayesian analyzer with previous emails. Training is not difficult, but it does require that you correct any mistakes that Spam Sleuth might have made in the past. You must also let Spam Sleuth keep your good email so that it has both spam and good email with which to train.


Steps:

1.  Turn on 'Score and store nonspam messages'.

2.  Correct any mistakes by using Mark as Good and Mark as Spam.

3.  Hit the Train button



Train  Lets you train the analyzer with previous emails.


View Statistics  Lets you see how many emails have been trained and the distribution of probabilities.


Export...  Export the word probabilities to a comma separated (.CSV) file.


Import...  Import the word probabilities from a comma separated (.CSV) file.



