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hints:teaching_system_recognize_spam_not [2021/02/21 07:26]
admin [How you can teach the system] 		hints:teaching_system_recognize_spam_not [2021/03/06 21:07] (current)
admin [How you can teach the system]
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 | 2.0 BAYES_80 BODY: Bayes spam\\ probability is 80 to 95% [score: 0.8325]  | Spam with 83.25% certainty,\\ spam score increased by 2.0    | | 2.0 BAYES_80 BODY: Bayes spam\\ probability is 80 to 95% [score: 0.8325]  | Spam with 83.25% certainty,\\ spam score increased by 2.0    |
 | BAYES_HAM(-2.73) [98.80%]                                                 | Not-spam with 98.8% certainty,\\ spam score decreased by 2.73  | | BAYES_HAM(-2.73) [98.80%]                                                 | Not-spam with 98.8% certainty,\\ spam score decreased by 2.73  |
 +
 +Note that anything recognized as spam with high certainty is immediately rejected during incoming SMTP, so you will never see it (see [[/hints/classic_linux_mail_flow|Classic Linux mail flow]]).  Most of the time you will see these BAYES headers only when email was not recognized as spam with a high enough certainty.
 ===== How the system learns ===== ===== How the system learns =====
  
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 Or select a bunch of ham (not-spam) messages, and forward them **as an attachment** to the ham-recognizing email address: <hamtrap@rahul.net>. Or select a bunch of ham (not-spam) messages, and forward them **as an attachment** to the ham-recognizing email address: <hamtrap@rahul.net>.
  
-These email addresses will automatically tokenize the contents of whatever they get, an add these tokens into the database as spam or ham tokens respectively.+These email addresses will automatically tokenize the contents of whatever they get, and add these tokens into the database as spam or ham tokens respectively.
  
 **Ham tokens are important.** They let the Bayesian system learn how to recognize legitimate email, thus subtracting from its spam score, and making it less likely to be erroneously classified as spam. Make it a point to send at least as much ham as you send spam. **Ham tokens are important.** They let the Bayesian system learn how to recognize legitimate email, thus subtracting from its spam score, and making it less likely to be erroneously classified as spam. Make it a point to send at least as much ham as you send spam.
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 If you are forwarding a single message to <spamtrap@rahul.net> or <hamtrap@rahul.net>, you can send it as an attachment or you can use the **bounce** or **resend** feature of some mail clients. All of these are equally good. If you are forwarding a single message to <spamtrap@rahul.net> or <hamtrap@rahul.net>, you can send it as an attachment or you can use the **bounce** or **resend** feature of some mail clients. All of these are equally good.
  
-A normal forward not as an attachment often does not include the complete headers, so might not be as useful (but it's still better than nothing).+A normal forward not as an attachment often does not include the complete headers, so it is less useful, but it's still better than nothing.
  
 **Budget your time.** Life is short. Spend no more than, say, 2–3 minutes per week sending spam or ham. You can do it once a week, or you could spend just 5–10 seconds a day quickly forwarding two or three selected messages. **Budget your time.** Life is short. Spend no more than, say, 2–3 minutes per week sending spam or ham. You can do it once a week, or you could spend just 5–10 seconds a day quickly forwarding two or three selected messages.
hints/teaching_system_recognize_spam_not.1613921189.txt.gz · Last modified: 2021/02/21 07:26 by admin

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