Compare decision trees and random forests

Overview

This question evaluates understanding of supervised learning models, ensemble methods, and bias–variance trade-offs specifically comparing decision trees and random forests. It is commonly asked to probe model selection trade-offs such as overfitting versus interpretability, falls under the Machine Learning category, and tests both conceptual understanding and practical application.