This project implements a Random Forest classifier from scratch using Python. A Random Forest is an ensemble learning method that combines multiple decision trees to improve classification or ...

A random forest is an ensemble machine learning model which aims to reduce overfitting by training a "forest" of many decision trees each trained on a bootstrapped dataset using randomly sampled ...

Random Forest is an ensemble tree-based algorithm. It consists of a set of decision trees that are randomly selected from a subset of the training data.