For simple classification tasks, naive bayes performs surprisingly well, is very easy to setup and run, and is relatively computationally inexpensive. It's exce

For simple classification tasks, naive bayes performs surprisingly well, is very easy to setup and run, and is relatively computationally inexpensive. It's excellent for getting a good baseline performance approximation because it's just so easy to use. If you have a lot of training data and computational power, an SVM will almost always outperform naive bayes, but they take longer to train and tune. Try naive bayes first.