Linear Discriminant Analysis (LDA)

It's used to find a linear combination of features that best separates the classes in a dataset.

Notes:

• It can only learn Linear boundaries, therefore Quadratic Discriminant Analysis (QDA) is suggest for none-linear problems.
• It can can model on more than two classes.
• It's very simple with highly interpretable results.