Okay, I apologize for all the following questions but, the more I troubleshoot dspam without progress, the more questions I have.
Are there recommendations/documentation on how to properly train? It seems that some users do corpus training and other users just train based on actual messages. What are the pros/cons of using a corpus vs. actual messages? Does it help to retrain multiple times using the same corpus and/or messages? What are the specific stats that one should look to achieve to determine if dspam has had enough training? Does TL need to be at zero before dspam will work at all? Do you have to train separately for each user or can all users share the same training? I've tried training and retraining multiple times using corpuses and actual messages but don't seem to be making any real progress. Here are my current stats after training with a corpus: sudo dspam_train <username> spam_2 easy_ham_2 sudo dspam_stats -H <username> TP True Positives: 0 TN True Negatives: 1315 FP False Positives: 2443 FN False Negatives: 2154 SC Spam Corpusfed: 0 NC Nonspam Corpusfed: 0 TL Training Left: 0 SHR Spam Hit Rate 0.00% HSR Ham Strike Rate: 65.01% PPV Positive predictive value: 0.00% OCA Overall Accuracy: 22.24% As you can see, the OCA is still low but better than it was before. It might help if someone could post working configurations for postfix, dspam, dovecot, and clamAV for comparison. I've tried to follow the online documentation but apparently I'm missing something. -- View this message in context: http://dspam-users.2290790.n4.nabble.com/dspam-not-training-tp4641961p4641980.html Sent from the dspam users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ _______________________________________________ Dspam-user mailing list Dspam-user@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/dspam-user