Striking the Right Balance: Understanding Underfitting and Overfitting in Machine Learning Models

This article will explain the basic concept of overfitting and underfitting from the machine learning and deep learning perspective.

Seeing underfitting and overfitting as a problem

Every person working on a machine learning problem wants their model to work as optimally as possible. But there are times when the model might not work as optimally as we want. It might either have an accuracy worse than ideal or better than ideal. In machine learning, …

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