Hi, After years of stability, my bayes db is doing poorly. When I first noticed it, it was classifying lots of ham BAYES_99, I cleared the db and started over. Now it finds *very* few ham.
0.000 0 3 0 non-token data: bayes db version 0.000 0 14779 0 non-token data: nspam 0.000 0 86 0 non-token data: nham 0.000 0 231925 0 non-token data: ntokens 0.000 0 1177142672 0 non-token data: oldest atime 0.000 0 1179789654 0 non-token data: newest atime 0.000 0 1179789681 0 non-token data: last journal sync atime 0.000 0 1179761284 0 non-token data: last expiry atime 0.000 0 43200 0 non-token data: last expire atime delta 0.000 0 90881 0 non-token data: last expire reduction count I've seen people report large spam/ham ratios on this list, but this seems extreme, >170:1. So I added about 500 ham (I am sure of the quality) to the db with "sa-learn --ham", hoping that would help. But it is still behaving poorly, over 20% of my ham is BAYES_99. (Normally less the 1% of my ham is BAYES_99.) Does anyone know why my system can't find any ham? It's a fairly typical university site of about 10000 messages/day with a 50/50 ham/spam ratio, so I know it is receiving plenty of ham. Running 3.2.0 if it matters. Thanks, Fletcher
