Simply put, a "False Positive" is a legitimate email message
incorrectly tagged by spam filtering software as spam.
False Positives can occur when the spam filtering criteria is too
stringent or spammers develop new methods to circumvent the spam
filters. Praetor uses Bayesian analysis to quickly
train the filter, adapt and
stop the new spammer techniques.
show that Praetor maintains an excellent False Positive rate, averaging
less than 0.03% or 1 email for every 3000 messages received.