Comparing Classifiers: Decision Trees, K-NN & Naive Bayes

A myriad of options exist for classification. That said, three popular classification methods-- Decision Trees, k-NN & Naive Bayes--can be tweaked for practically every situation. Naive Bayes and K-NN, are both examples of supervised learning (where the data comes already labeled). Decision trees are easy to use for small amounts of classes. If you're trying to decide between the three, your best option is to take all three for a test drive on your data, and see which produces the best results.