Hello, I am using a system-wide spamassassin setup (MailScanner). Nearly all my spam-mails are detected correctly (~0,1% is not), no FP. But, especially German spam-mails, are "wrongly" classified by the bayes-system. Should I train thees mails manually as spam, if they are not autolearned? Or should I train *all* my spam-mails regular?
Thanks, Yours, Heiner Email: 3870 Autolearn: 3575 Cached: 126 AvgScore: 29.35 Spam: 3562 Autolearn: 3411 Cached: 113 AvgScore: 32.22 Ham: 308 Autolearn: 164 Cached: 13 AvgScore: -3.81 TOP SPAM RULES FIRED (50/432) ======================================================================== RANK RULE NAME SCORE COUNT %OFMAIL %OFSPAM %OFHAM BAYES ------------------------------------------------------------------------ 18 BAYES_99 5.40 1970 50.90 55.31 0.00 100.00 27 BAYES_50 0.00 801 21.16 22.49 5.84 97.80 41 BAYES_80 2.00 259 6.69 7.27 0.00 100.00 43 BAYES_95 3.00 248 6.41 6.96 0.00 100.00 TOP HAM RULES FIRED (50/78) ======================================================================== RANK RULE NAME SCORE COUNT %OFMAIL %OFSPAM %OFHAM BAYES ------------------------------------------------------------------------ 2 BAYES_00 -4.90 253 8.01 1.60 82.14 81.61 12 BAYES_50 0.00 18 21.16 22.49 5.84 2.20 21 BAYES_40 -0.18 8 0.93 0.79 2.60 22.22 32 BAYES_05 -1.11 4 0.62 0.56 1.30 16.67 43 BAYES_20 -0.74 3 0.65 0.62 0.97 12.00 conf: bayes_expiry_max_db_size 1500000 bayes_auto_learn_threshold_spam 7.5
