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AI Features

Feature Randomization

Explore how the random forest algorithm enhances prediction accuracy by combining bagging with feature randomization. Understand the method of selecting random feature subsets at each split point to build diverse decision trees for classification and regression problems.

Constraining available features

The random forest algorithm doesn’t stop with bagging. The algorithm also randomizes the features available to train each decision tree in the forest. The ...