Because a decision tree only asks simple ‘yes or no’ questions about predictors, it works for both categorical and continuous predictors, or a mixture of both.
October 11, 2014
Classification and regression trees (CART)
A quick introduction to a very simple but widely-applicable model that can perform classification (predicting a discrete label) or regression (predicting a continuous value). The tree is learned from labelled data, using supervised learning. Before watching this video, you might want to check that you understand what Entropy is.
This is the new version. Still under construction.