, July 29, 2005 8:24 AM
To: users@spamassassin.apache.org
Subject: RE: generating rule stats from spamd logs
I'd be able to code it in myself but I'm not fluent in perl (PHP guy)
and of course, the string parsing functions confuse the hell out of me.
LOL. Thought that there might be a lot of perl
Message-
From: Matthew Yette
Sent: Friday, July 29, 2005 8:24 AM
To: users@spamassassin.apache.org
Subject: RE: generating rule stats from spamd logs
I'd be able to code it in myself but I'm not fluent in perl (PHP guy)
and of course, the string parsing functions confuse the hell
out
(w)
315-356-0597 (f)
AIM/Yahoo: MAPolceNOC
MSN: [EMAIL PROTECTED]
-Original Message-
From: Dallas L. Engelken [mailto:[EMAIL PROTECTED]
Sent: Wednesday, August 03, 2005 3:06 PM
To: Matthew Yette
Subject: RE: generating rule stats from spamd logs
Can you give me a snip of your
Subject: RE: generating rule stats from spamd logs
Is there any way to modify this code to accept another command-line
argument for domain-specific? Meaning, I want to look for all rule hits
for mail destined for domain.com?
--
Matthew Yette
Senior Engineer - NOC/Operations
MA Polce Consulting, Inc
(f)
AIM/Yahoo: MAPolceNOC
MSN: [EMAIL PROTECTED]
-Original Message-
From: Dallas L. Engelken [mailto:[EMAIL PROTECTED]
Sent: Wednesday, July 27, 2005 1:02 PM
To: users@spamassassin.apache.org
Subject: RE: generating rule stats from spamd logs
My mistake.. It is fixed, hopefully for good
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Sent: Tuesday, July 26, 2005 7:15 PM
To: jdow
Cc: users@spamassassin.apache.org
Subject: Re: generating rule stats from spamd logs
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
jdow writes:
From
Another Dallas miracle!
Oh? Er, how does it determine if a message was ham
or spam?
It looks like
it is rather random based on the reports. BAYES_99
may well
hit on 84.33%
of spam. But I doubt, given it's score, it hits on
44.53% of ham.
The code should be
:[EMAIL PROTECTED]
Sent: Wednesday, July 27, 2005 10:44 AM
To: users@spamassassin.apache.org
Subject: RE: generating rule stats from spamd logs
Another Dallas miracle!
Oh? Er, how does it determine if a message was ham
Dallas L. Engelken wrote:
BAYES_00 hits 15.27 of spam on yours, the %ofspam on top ham rules and
%ofham on top spam rules must be buggy.
i'm not running that version with the 5th column. It must be buggy.
i play with it after bit.
Dallas
Dallas,
Did you see the patch I sent to the
M 10BAYES_9915351 4.46% 45.42% 60.57%
M 19BAYES_50 6443 1.87% 19.06% 25.42%
M 31BAYES_80 1154 0.34% 3.41% 4.55%
M 32BAYES_60 1147 0.33% 3.39% 4.53%
M 38
-Original Message-
From: Chris Thielen [mailto:[EMAIL PROTECTED]
Sent: Wednesday, July 27, 2005 11:02 AM
To: Dallas L. Engelken
Cc: users@spamassassin.apache.org
Subject: Re: generating rule stats from spamd logs
Dallas L. Engelken wrote:
BAYES_00 hits 15.27 of spam on yours
Dallas L. Engelken [EMAIL PROTECTED]
wrote on 07/27/2005 11:26:54 AM:
-Original Message-
From: Chris Thielen [mailto:[EMAIL PROTECTED]
Sent: Wednesday, July 27, 2005 11:02 AM
To: Dallas L. Engelken
Cc: users@spamassassin.apache.org
Subject: Re: generating rule stats from
as L. Engelken" [EMAIL PROTECTED] wrote on 07/27/2005 11:26:54 AM: -Original Message- From: Chris Thielen [mailto:[EMAIL PROTECTED]]Sent: Wednesday, July 27, 2005 11:02 AM To: Dallas L. Engelken Cc: users@spamassassin.apache.org Subject: Re: generating rule s
; users@spamassassin.apache.org
Subject: Re: generating rule stats from spamd logs
He only fixed the spam rules section.
The TOP HAM RULES sections still has these two incorrect
computations...
my $perc2=sprintf(%.2f,($HAM_RULES{$key}/$NUM_SPAM
-Original Message-
From: Charles Sprickman [mailto:[EMAIL PROTECTED]
Sent: Monday, July 25, 2005 10:46 PM
To: users@spamassassin.apache.org
Subject: generating rule stats from spamd logs
Hi,
Anyone aware of anything that can parse a day's spamd logs
and then give a
From: Chris Santerre [EMAIL PROTECTED]
Do you mean this script?
http://www.rulesemporium.com/programs/sa-stats.txt
Note: It may be named the same as sa-stats.pl, but it is different. Per
rule
based.
Another Dallas miracle!
Oh? Er, how does it determine if a message was ham or spam? It
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