Nobody likes a black-box model. With sophisticated algorithms and a fair amount of data preparation, building good models is easy, but what’s going on inside? That’s where Explainable AI and SHAP come into place.

Today you’ll learn how to explain machine learning models to the general population. We’ll use three different plots for interpretation — one for a single prediction, one for a single variable, and one for the entire dataset.

After reading this article, you shouldn’t have any problems interpreting predictions of the machine learning model and the importance of each predictor.

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