Messages marked as spam - Actions?

michel at casa.co.cu michel at casa.co.cu
Sun Oct 4 04:06:00 CEST 2009


David Relson <relson at osagesoftware.com> escribió:

> On Sat, 03 Oct 2009 14:15:02 +0200
> Matthias Andree wrote:
>
>> Am 02.10.2009, 22:20 Uhr, schrieb Michel Bulgado <michel at casa.co.cu>:
>>
>> > Hello List
>> >
>> > I have a concern, after applying the filter bogofilter in my work, I
>> > have dedicated myself to train him.
>> >
>> > I've gotten to the point that recognizes and marks each message as
>> > Spam or Ham.
>> >
>> > But I still enter even marked as spam messages.
>> >
>> > I ask, when are marked as spam filter should not remove them or
>> > reject them???
>> >
>> > X-Bogosity: Unsure, tests = bogofilter, spamicity = 0.508496,
>> > version = 1.2.1
>> >
>> >
>> > Not achieve sufficient scores to remove or take any action upon?
>>
>> I do not quite understand, but I'll try:
>>
>> 1. bogofilter only marks messages as ham/spam/unsure. What you do
>> then is your decision. You can use the maildrop package (from the
>> courier-mta project) to direct messages to a spam folder, or reject
>> them.
>>
>> 2. if you're getting "unsure", please try training more messages -
>> and you must train BOTH good AND spam.
>>
>> Hope that helps
>>
>> --
>> Matthias Andree
>
> Bogofilter's configuration includes 2 special parameters used in
> identifying ham and spam.  The parameters and their default values are:
>
>   ham_cutoff=0.45
>   spam_cutoff=0.99
>
> Any message whose score is 0.45 or less is marked as ham.  Any message
> whose score is 0.99 or above is marked as spam.  All other messages are
> marked as unsure.
>
> The default values were chosen to minimize errors in classification.
> Until bogofilter is trained with a fair amount of _your_ ham and spam,
> a lot of messages will be classified as unusre.
>
> When you have a message classified as unsure, the best thing to do is
> decide whether it is ham or spam and train bogofilter accordingly.  The
> man pages and FAQ have a lot more information of this subject.
>
> Hope this helps,
>
> David
>


Then will still train bogofilter with the spam and ham messages.

Thanks


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