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ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 8

Decision trees parameter tuning Part 8 of the ‘Decision Trees and Ensemble Learning’ section is dedicated to tuning decision tree parameters. Parameter tuning involves selecting the best parameters for training. In this context, ‘tuning’ means choosing parameters in a way that maximizes or minimizes a chosen performance metric (such as AUC or RMSE) on theContinue reading “ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 8”