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SpamAssassin Publisher Description

SpamAssassin is a mail filter which attempts to identify spam using a variety of mechanisms including text analysis, Bayesian filtering,
DNS blocklists, and collaborative filtering databases.

Using its rule base, it uses a wide range of heuristic tests on mail
headers and body text to identify "spam", also known as unsolicited
commercial email.

Once identified, the mail can then be optionally tagged as spam for
later filtering using the user's own mail user-agent application.

SpamAssassin typically differentiates successfully between spam and
non-spam in between 95% and 100% of cases, depending on what kind of
mail you get and your training of its Bayesian filter. Specifically,
SpamAssassin has been shown to produce around 0.9% false negatives (spam
that was missed) and around 0.1% false positives (ham incorrectly marked
as spam). See the rules/STATISTICS*.txt files for more information.
OS: PPC
Requirements: Mac OS X 10.2 or later, Perl.
Whats new:
Version 3.2 release notes

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