Spam Folder: Difference between revisions

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message to decide whether it is spam or not. One of the

checks it can do, is to compare the message with previous

messages. -this is called Bayesian Learning.

messages -this is called Bayesian Learning.

==Checking the learning==

If you view the 'headers' of a message, you should see the spam report, and a line looking like:

-3.0 BAYES_00 BODY: Bayes spam probability is 0 to 1%

or perhaps

0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60%

Here you can see the 'Bayes spam probability' as a percentage.

==Teaching the system==

If the 'Bayes spam probability' is incorrect, then it can be taught about

If our system is marking non-spam messages as spam, and not marking spam messages, then one way to improce this is

~~to teach the Bayesian Learning system about~~ messages that ~~have been miss-classified.~~ ~~This~~ is ~~done~~ in the following ways:

messages that it has got wrong in the following ways:

*Move a message '''OUT''' of the spam folder to tell the system it is '''NOT''' spam

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If you make a mistake, just move the message back.

The process of learning doesn't guarantee that the system will be correct next time a similar message is received, but it should help.

The process of learning doesn't guarantee that the system will be correct next time a similar message is received, but it should help