Original Post
I have implimented a bayes classifier to classify some text, given a max of 15 inputs with a single outcome. As I add more training data the floating point values are becoming exponentially smaller ie (6^-15) and very soon are going to become in-accurate. What can I do to help this? I thought multiplying either side of the equation by a large value. As this will not affect the probability.
