http://issues.apache.org/SpamAssassin/show_bug.cgi?id=5686





------- Additional Comments From [EMAIL PROTECTED]  2007-10-19 07:09 -------
here's that Bayes chain rule, with K3=8:

SCORE  NUMHIT   DETAIL     OVERALL HISTOGRAM  (. = ham, # = spam)
0.000 (100.000%) 
..........|.......................................................
0.000 ( 1.709%) ##########|#
0.040 ( 0.055%) #         |
0.120 ( 0.055%) #         |
0.920 ( 0.055%) #         |
0.960 (98.126%) 
##########|#######################################################

Threshold optimization for hamcutoff=0.30, spamcutoff=0.70: cost=$33.00
Total ham:spam:   1976:1814
FP:     0 0.000%    FN:    33 1.819%
Unsure:     0 0.000%     (ham:     0 0.000%    spam:     0 0.000%)
TCRs:              l=1 54.970    l=5 54.970    l=9 54.970
SUMMARY: 0.30/0.70  fp     0 fn    33 uh     0 us     0    c 33.00


so that doesn't really improve it much.  I think the method used in comment 2
seems to be performing the best here so far; that's the use of OSBF with
traditional naive Bayes combining (at least, the trad combiner we used to use in
SA before we switched to Fisher/Robinson chi square combining).



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