Hi
Like I wrote in my previous post SA's effectiveness has dropped dramatically over the past couple of days. I read something about "overtraining" bayes databases a while ago and was wondering if this could be an issue. How can I check the status of my bayes DB? The output of sa-learn --dump magic doesn't mean much to me. Are there routines to run to clean up a bayes db and if so how often should they be run? I ran sa-learn --force-expire today but it appears to have made little difference on the output of sa-learn --dump magic: before: 0.000 0 3 0 non-token data: bayes db version 0.000 0 12234 0 non-token data: nspam 0.000 0 115904 0 non-token data: nham 0.000 0 179531 0 non-token data: ntokens 0.000 0 1169633453 0 non-token data: oldest atime 0.000 0 1172424260 0 non-token data: newest atime 0.000 0 0 0 non-token data: last journal sync atime 0.000 0 1172399818 0 non-token data: last expiry atime 0.000 0 2764800 0 non-token data: last expire atime delta 0.000 0 1438 0 non-token data: last expire reduction count after: 0.000 0 3 0 non-token data: bayes db version 0.000 0 12234 0 non-token data: nspam 0.000 0 115905 0 non-token data: nham 0.000 0 178179 0 non-token data: ntokens 0.000 0 1169659662 0 non-token data: oldest atime 0.000 0 1172426770 0 non-token data: newest atime 0.000 0 0 0 non-token data: last journal sync atime 0.000 0 1172427375 0 non-token data: last expiry atime 0.000 0 2764800 0 non-token data: last expire atime delta 0.000 0 1386 0 non-token data: last expire reduction count Would it make sense to clean (using sa-learn --clear) out the bayes db and retrain with recent ham/spam? Regards Bram