7 min readSupervised Learning
Decision Trees and Ensembles
How recursive binary splitting builds a tree, why the Gini index beats accuracy as a splitting criterion, and how bagging and random forests turn a high-variance learner into a strong one, with the split arithmetic worked out.
Machine LearningStatistics