Machine Learning, AI, ML, Decision Trees, Probability.
features. That is the bulk of the training process of a decision tree. All that is left to finish build- ing our decision tree is to iterate on this step many times. In this section we learn how to do this. Using the three methods, accuracy, Gini index, and entropy, we decided that the best split