Ensemble Learning: Maximizing Predictive Power through Collective Intelligence

Photo by Cristina Marin on Unsplash

Ensemble Learning is a powerful method used in Machine Learning to improve model performance by combining multiple individual models. These individual models, also known as “base models” or “weak learners,” may have limitations such as high variance or high bias.