Database, Decision Tree, Random Forest, Entropy, Gini Index.
attribute and value we should split on next. We want to minimize the complexity (depth) of the tree, but still be accurate. In practice, we will usually assume the data is noisy and ignore some. So how can we choose attributes? We rely on this concept of entropy. Let’s say we have a sample data X