Bagging Ensemble Method: Bagging Machine Learning Algorithm

Ensemble Learning: Combining multiple individual models (weak learners) to achieve better predictive performance than any single model could achieve alone. Goal: Reduce bias, variance, or improve prediction accuracy. Two Main Categories: Bagging: Parallel combination (e.g., Random Forest) Boosting: Sequential combination