I have a set of training data and I need to build a classifier with it. There are just two classes of elements, and the values of the attributes are all integer, like:
$ \ [V_{11}, V_{12}, \ldots, V_{1N}] \in C_1 \\ \ [V_{21}, V_{22}, \ldots, V_{2N}] \in C_2 \\ \vdots \\ \ [V_{M1}, V_{M2}, \ldots, V_{MN}] \in C_M \\ \\ \ C_i \in [Class\_1, Class\_2] $
What kind of classifier should I use? I've been reading about Bayes classifiers but I'm not really sure if it would fit in here.