Comprehensive guide to Random Forests: theory, implementation, tuning, and interpretation. What are Random Forests? Random Forest is an ensemble learning method that constructs multiple decision trees and combines their predictions. Key Concepts: Bagging: Bootstrap Aggregating - train each tree on random subset of data …