Hi guys,
I have a question regarding Bayes classifier. My case is to classify
text as good or bad.
My question is, do I have to train the classifier with both good and bad
examples? Or is it enough to train with either of good or bad.?
For eg., I have only bad data. I train the classifier with this data
and generate a model. If I try this on a new set of data, will it classify
something that is not bad? If yes, what would be its label??
