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.
We'll cover the following...
We'll cover the following...
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 random forest algorithm provides a random subset of features at every split point for every tree in the forest.
For classification scenarios, the random forest algorithm only provides a random subset of features equal to the square root ...