Hi,
My results below...
omehegan wrote:
<SNIP>
Here are two more of a type that have been getting through CONSTANTLY.
They're always almost exactly the same, and I keep training them into my
bayes DB but it's not hitting on them :(
http://www.nerdnetworks.org/spam/spam7
Content analysis details: (9.3 points, 5.0 required)
pts rule name description
---- ----------------------
--------------------------------------------------
3.5 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
[score: 1.0000]
2.1 SUBJ_ALL_CAPS Subject is all capitals
0.6 US_DOLLARS_3 BODY: Mentions millions of $ ($NN,NNN,NNN.NN)
0.6 J_CHICKENPOX_73 BODY: 7alpha-pock-3alpha
0.5 RAZOR2_CHECK Listed in Razor2 (http://razor.sf.net/)
1.5 RAZOR2_CF_RANGE_E4_51_100 Razor2 gives engine 4 confidence level
above 50%
[cf: 100]
0.5 RAZOR2_CF_RANGE_51_100 Razor2 gives confidence level above 50%
[cf: 100]
http://www.nerdnetworks.org/spam/spam8
Content analysis details: (7.5 points, 5.0 required)
pts rule name description
---- ----------------------
--------------------------------------------------
3.5 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
[score: 1.0000]
1.5 MILLION_USD BODY: Talks about millions of dollars
2.1 SUBJ_ALL_CAPS Subject is all capitals
0.4 AWL AWL: From: address is in the auto white-list
It looks like my Bayes is trained to be better at picking these up.
--
Anthony Peacock
CHIME, UCL Medical School
WWW: http://www.chime.ucl.ac.uk/~rmhiajp/
Study Health Informatics - Modular Postgraduate Degree
http://www.chime.ucl.ac.uk/study-health-informatics/
