Here are my counts since 6:50 PM yesterday for all URI_RBL rules sorted by spam and ham:
URI_RBL spam counts:
3577 - AB_URI_RBL (5.0) - surbl.cf 2499 - DS_URI_RBL (0.33) - surbl.cf 7282 - OB_URI_RBL (4.0) - surbl.cf 4279 - SPAMCOP_URI_RBL (3.0) - surbl.cf 5458 - WS_URI_RBL (3.0) - surbl.cf
URI_RBL ham counts:
231 - DS_URI_RBL (0.33) - surbl.cf 18 - OB_URI_RBL (4.0) - surbl.cf 1 - SPAMCOP_URI_RBL (3.0) - surbl.cf 29 - WS_URI_RBL (3.0) - surbl.cf
Interesting that AB_URI_RBL has no false positives yet... Still, we haven't released spam filtering to our users yet so my Bayes training is based pretty much on all of the SA rulesets' interpretation of spam (which isn't necessarily a bad thing).
Don Newcomer Senior Manager, Systems Infrastructure Systems Department Library and Information Services Dickinson College P.O. Box 1773 Carlisle, PA 17013 717-245-1256 (Voice) 717-245-1690 (FAX) newcomer@dickinson.edu
On Thu, 1 Jul 2004, Jeff Chan wrote:
Still looking for anyone's spam detection rates and false positive rates with all the lists:
sc.surbl.org - SpamCop spamvertised sites ws.surbl.org - sa-blacklist, BigEvil and other data ob.surbl.org - OutBlaze spamvertised sites ab.surbl.org - AbuseButler spamvertised sites
ds.surbl.org (beta, 6dos data)
Jeff C.
Jeff Chan mailto:jeffc@surbl.org http://www.surbl.org/
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