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.




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