On Sat, 28 Sep 2013, Bart Schaefer wrote:

On Mon, Sep 16, 2013 at 1:38 PM, Harry Putnam <[email protected]> wrote:

Yes, here is an example of a message rated as spam:

X-Spam-Report: *  3.5 BAYES_99 BODY: Bayes spam probability is 99 to 100%
        *      [score: 0.9999]

OK, so you've got a BAYES_99 on that message, which is a pretty good
indication that the training has worked.  However, SA's confidence in
the Bayes algorithm is only worth about one point out of a necessary
five, so the rest of the rules have to contribute the other (just a
bit more than) four points, and they do not:

You're misreading that. The bayes evaluation is 0.9999 (99%) probability spam, which leads to BAYES_99, which adds 3.5 points.

        *  0.4 STOX_REPLY_TYPE STOX_REPLY_TYPE
        *  1.2 RCVD_NUMERIC_HELO Received: contains an IP address used for
        HELO
        *  1.8 STOX_REPLY_TYPE_WITHOUT_QUOTES STOX_REPLY_TYPE_WITHOUT_QUOTES

3.5 + .4 + 1.2 + 1.8 = 6.9

According to that, if the threshold hasn't been changed this message should have been considered spam.

Agreed that hitting BAYES_99 is a good indicator that training is working.

--
 John Hardin KA7OHZ                    http://www.impsec.org/~jhardin/
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