arni wrote:
[snip snap]
I looked for the lowest scoring email of the past 2 days (dont save
them longer), this is the one:
X-Spam-Status: Yes, score=10.7 required=5.0 tests=BAYES_99,DCC_CHECK,
DKIM_POLICY_SIGNSOME,HTML_MESSAGE,LOGINHASH1,LOGINHASH2,MIME_HTML_MOSTLY
autolearn=no version=3.2.0
X-Spam-Report:
* 5.5 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
* [score: 1.0000]
* 0.0 DKIM_POLICY_SIGNSOME Domain Keys Identified Mail: policy says
domain
* signs some mails
* 0.0 MIME_HTML_MOSTLY BODY: Multipart message mostly text/html MIME
* 0.0 HTML_MESSAGE BODY: HTML included in message
* 1.5 LOGINHASH2 BODY: mail has been classified as spam @ unknown
company,
* Germany
* 1.5 LOGINHASH1 BODY: mail has been classified as spam @
LogIn&Solutions
* AG, Germany
* 2.2 DCC_CHECK Listed in DCC (http://rhyolite.com/anti-spam/dcc/)
Note that already a well trained BAYES can take these mails out on its
own on my system.
> Bayes are good if its well trained
If you find your bayes to score really acurate then its a good idea to
increase the scores. For me bayes is fed from 2 spamtrap addresses
with around 50 pieces of the finest spam every day. Doing this, bayes
scores BAYES_99 on 99.5% of my remaining spam - i hardly ever see it
score below BAYES_80 and thats just great.
Kind a new to spam ... and especially how people use bayes.
So how many ham mails do you get per day ? wandering if I could do
something to my system so bayes may score higher ....
I have read some where that spam mails in bayes should be alot higher
than ham mails ... is that true ?
Cause I'm doing spam scans for multiple domains ..
So maybe training bayes better or increasing the score will put and
end to this for you.
arni
Any aditional reading on bayes are welcome ...
// Mikael Syska
