Random Forest Trend 2026

A Random Forest is an ensemble machine learning algorithm that combines multiple decision trees to improve prediction accuracy and control overfitting. It is widely used for classification, regression, and feature selection tasks in fields like finance, healthcare, and e-commerce. Data scientists, analysts, and researchers benefit from its robustness, handling large datasets with missing values while providing reliable, interpretable results.