Re: What's the best way to process missed spams ?

Not entirely sure what your question is ... are you saying you dont think its right that spamprobe finds the headers as even more
informative then the body text ?




> Hi all,
>
> I use spamprobe in 'train' mode. Following what's described in the manpage, I
> have a script which calls 'spamprobe spam' on all spams which were missed (I
> don't call 'remove', though, as I recall reading that it wasn't necessary -
> perhaps I'm wrong). In anycase, this script doesn't seem to help in anyway.
>
> If I look at the terms which are used to score a missed spam before and after
> I call 'spamprobe spam' on it, almost all the terms are from the headers,
> even though very spammy terms (at least I'd think so) are readable in the
> message subject and body.
>
> For instance, here's the output of '-T score' on a missed spam :
>
> GOOD 0.0001013 adfa24bf07250a84e116d550070ed9e1
>     Spam Prob   Count    Good    Spam  Word
>     0.0000010       1     102       0  libraries
>     0.0000025       1      32       0  what do
>     0.0000030       1      27       0  dark
>     0.0000058       1      14       0  Hsubject_spread
>     0.0000068       1      12       0  everywhere
>     0.0000081       1      10       0  work and
>     0.0000090       1       9       0  brutally
>     0.0000101       1       8       0  they need
>     0.0000101       1       8       0  what they
>     0.0000116       1       7       0  the dark
>     0.0000162       1       5       0  and libraries
>     0.0000162       1       5       0  needless
>     0.0000162       1       5       0  needless to
>     0.0000162       1       5       0  to ride
>     0.0000203       1       4       0  and tired
>     0.0000203       1       4       0  ending
>     0.0000203       1       4       0  sick and
>     0.0000203       1       4       0  they want
>     0.0000270       1       3       0  about work
>     0.0000270       1       3       0  all they
>     0.0000270       1       3       0  fucked
>     0.0000270       1       3       0  is everywhere
>     0.9999676       1       0       5  Hrecvx_dsl.telesp.net.br
>     0.0108696       1      91       2  ride
>     0.0136986       1     180       5  that s
>     0.9760120       1      16    1302  U_php
>     0.0447761       1      32       3  do the
> COMMAND score FILE spam DIGEST adfa24bf07250a84e116d550070ed9e1 SUBJECT Horny
> college girls ... PROCESSED
>
> Then I remove it (just to make sure), flag it as spam and rescore it :
>
> glaurent@linux4:glaurent> spamprobe remove spam
> glaurent@linux4:glaurent> spamprobe spam spam
> glaurent@linux4:glaurent> spamprobe -v -T score spam
> SPAM 0.9972383 adfa24bf07250a84e116d550070ed9e1
>     Spam Prob   Count    Good    Spam  Word
>     0.9999838       1       0      10  Hrecvx_dsl.telesp.net.br
>     0.9999676       1       0       5  Hfrom_ozondticxas
>     0.9999676       1       0       5  Hfrom_ozondticxas yahoo.com
>     0.9999676       1       0       5  Hrecv_033b590f1a
>     0.9999676       1       0       5  Hrecv_033b590f1a for
>     0.9999676       1       0       5  Hrecv_id 033b590f1a
>     0.9999676       1       0       5  Hrecvx_0005fs
>     0.9999676       1       0       5  Hrecvx_0005fs-uv
>     0.9999676       1       0       5  Hrecvx_1dumus
>     0.9999676       1       0       5  Hrecvx_1dumus-0005fs-uv
>     0.9999676       1       0       5  Hrecvx_1dumus-0005fs-uv for
>     0.9999676       1       0       5  Hrecvx_201-1-55-182.dsl.telesp.net.br
>     0.9999676       1       0       5  Hrecvx_201-1-55-182.dsl.telesp.net.br
> 201.1.55.182
>     0.9999676       1       0       5  Hrecvx_201.1.55.182
>     0.9999676       1       0       5  Hrecvx_201.1.55.182 helo
>     0.9999676       1       0       5  Hrecvx_from
> 201-1-55-182.dsl.telesp.net.br
>     0.9999676       1       0       5  Hrecvx_id 1dumus-0005fs-uv
>     0.0239090       1     102       5  libraries
>     0.9760872       1      16    1307  U_php
>     0.0270108       1     180      10  that s
>     0.0370150       1      91       7  ride
>     0.0564282       1    1227      97  search
>     0.0642486       1     393      54  find
>     0.0667873       1     391      56  work
>     0.0724223       1      32       5  what do
>     0.9245472       1      23     564  U_mail
>     0.0846979       1      27       5  dark
> COMMAND score FILE spam DIGEST adfa24bf07250a84e116d550070ed9e1 SUBJECT Horny
> college girls ... PROCESSED
>
> Help welcome :-)
>
> -- 
> Guillaume.
> http://www.telegraph-road.org
>
>
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