Hello, Currently I'm working on a classifier to classify documents written in different programming languages in the correct category. I made a test and a training set, and I get a confusion table as a result. This is nice, but the program does not supply any probabilities/uncertainties that a particular file belongs to a certain category, it only returns whether or not a single file belongs to a category or not. Because it is a Bayesian algorithm, probabilities must be involved somehow.
What I would like to have is for a single input file the chance/probability of that file belonging to each category, for instance like this: C: 25% C++: 50% Java: 25% The classifyDocument method in the class BayesAlgorithm does return numbers, but these are not really probabilities since they do not add up to 1. Looking in the javadoc it says that these numbers are dot products between the vector of this document and the training set. So my question is, is it possible to convert the numbers as stored in ClassifierResult and calculated in BayesAlgorithm.classifyDocument to some kind of probability? Regards, Steven -- Software Improvement Group www.sig.eu We would like to invite you to complete our survey on the Awareness of Green Software. It will take you less than 10 minutes. Link to survey: http://bit.ly/kfWGZM
