The Bayesian filter has a set of settings that it uses to implement it's probability rankings. You can also help train the filter while reading messages. The rule test window has been enhanced to help train the SPAM filter in a convenient fashion. You can enable Junk Mail filtering in your rules and set the desired level of sensitivity. This filter is trainable and can be made more effective based on marking known SPAM messages and false positives. This filter predicts the probability that an email message is SPAM. It uses a combination of techniques and some new functionality.Īuto-Mate now includes a native Bayesian SPAM filter that can be used within your rules. Auto-Mate now includes new features that build upon it's powerful rules to help reduce Junk Mail in your inbox.
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