Random Forest
Aim
To implement the Random Forest algorithm as an ensemble of multiple decision trees using random sampling and feature selection, and to evaluate its performance for classification tasks.
To implement the Random Forest algorithm as an ensemble of multiple decision trees using random sampling and feature selection, and to evaluate its performance for classification tasks.