Turn the classifier into a pipeline so that we can classify using bayesian filtering as well as other methodologies. This involves transforming the present bayesian filtering to return a probability as opposed to "spam"/"ham". For example, values ranging (-1,1), where anything positive is ham and anything negative is spam.
Turn the classifier into a pipeline so that we can classify using bayesian filtering as well as other methodologies. This involves transforming the present bayesian filtering to return a probability as opposed to "spam"/"ham". For example, values ranging (-1,1), where anything positive is ham and anything negative is spam.