Regulating threshold values of spam rate
Spam recognition is based on modern filtration methods, which allow training Anti-Spam to distinguish spam, probable spam and useful email. In doing so, every individual element of good emails or spam is assigned a factor.
When an email message enters your inbox, Anti-Spam scans the message using the iBayes algorithm for elements of spam and good email. The component sums up the ratings of each spam (useful mail) item and calculates the resulting spam rate. The larger the spam rate, the higher the probability that such mail contains spam. A message is recognized by default as useful mail if its spam rate does not exceed 60. If spam rate is higher than 60, such message is considered to be potential spam. If the value exceeds 90, such message is recognized as spam. You can modify the threshold values for the spam rate.
To change the spam rate thresholds, perform the following steps: