How does Learning work?
Updated: 22/03/2021
Article #: 36
Learning or Bayesian Statistics are used by MailWasher to help recognize
spam and good email, based on email you train as spam or good. After a
short period of training, the learning filter becomes very accurate.
In the Inbox screen, the column Classification shows thumbs up or thumbs down. Clicking the thumbs up icon means you think the email is good, while clicking the thumbs down icon means you think the email is spam. Clicking a colored thumbs up or down icon again will cause it to change to neutral.
In the Inbox screen, the column Classification shows thumbs up or thumbs down. Clicking the thumbs up icon means you think the email is good, while clicking the thumbs down icon means you think the email is spam. Clicking a colored thumbs up or down icon again will cause it to change to neutral.
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