Stacking in Machine Learning

"When there is Unity, there is always victory"

Ensemble modeling is a powerful way to improve the performance of your model. It is a machine learning paradigm where multiple models are trained to solve the same problem and combined to get better results. It is also an art of combining a diverse set of learners together to improvise on the stability and predictive power of the model.

Most common types of Ensemble Methods:

BaggingBoostingStacking

In this article, we will focus on Stacking. B...