1. A computer implemented method for reducing false classifications during Bayesian filtering, the method comprising the steps of: within a context of Bayesian filtering, analyzing content of at least one document to be classified; determining whether more than a threshold amount of the content of the at least one document is known wherein determining whether more than a threshold amount of the content of the at least one document is known further comprises performing at least one step from a group of steps consisting of: determining a percentage of words of the at least one document that are known from Bayesian filter training; and determining a percentage of a maximum correction value utilized during Bayesian filtering of the at least one document; and classifying the document responsive to results of the determination.