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.
