Naive Bayes The Naive Bayes Classifier is a classification technique inspired by Bayes Theorem, which states the following equation: Because of the naive assumption (hence the name) that variables are independent given the class, we can rewrite P(X|y) as follows: Also, since we are solving fo...
How can you choose a classifier based on training set size? If training set is small, high bias / low variance models (e.g. Naive Bayes) tend to perform better because they are less likely to be overfit. If training set is large, low bias / high variance models (e.g. Logistic Regre...