Introduction
In machine learning, no single algorithm is perfect for all problems. Sometimes, combining multiple models works better than relying on just one. This is where ensemble learning comes in. Ensemble methods combine several weak or base learners to build a strong predictive model.
Two of the most popular ensemble techniques are:
Both improve accuracy but work in different ways. Let’s dive in.