Introduction to Ensemble Methods

Author(s): Dr. Roi Yehoshua

Originally published on Towards AI.

Why Creating an Ensemble is a Good Idea?

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An ensemble method is a powerful technique that allows you to combine multiple machine learning models into one model, which often performs better than any of the individual models alone.

This article explains the rationale behind ensemble methods, reviews the different types of ensemble methods, and provides a few examples.

One might wonder why a combination of different models produces a model that is better than each of the individual models.

For example, if you ask two people the same question, and each one has only 70% chance of giving you… Read the full blog for free on Medium.

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Published via Towards AI