Lec 21: Tree based models, decision trees, and regression trees

Data Science Methods and Statistical Learning, University of Toronto
Prof. Samin Aref

Tree-based models, decision trees, regression trees, recursive binary splitting, cost complexity pruning, Gini impurity (Gini index), cross entropy, bootstrap aggregating (bagging), bagged trees, out-of-bag (OOB) estimate of test error, random forests, boosting, boosted trees, variable importance, machine learning explainability

Chapter 8 of the textbook:

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