In this post, we’ll have explore the fundamentals of ensemble learning. Specifically, we’ll discuss techniques like bagging, boosting, and stacking in detail and take a brief look at various foundational algorithms that adopt these techniques.
Without further ado, let’s get started!
This article presents techniques for improving classification accuracy by aggregating various classifiers in different ways. These techniques are known as the ensemble methods.