Database, Decision Tree, Random Forest, Entropy, Gini Index.
attributes left but we have both positive and negative examples, this means that the selected features are not sufficient for classification or that there is an error in the examples (can use majority vote). Feature Split The main factor defining the decision tree algorithm is how we choose which