The Art of Explaining Predictions

How to explain your model in a human-friendly way

Conor O'Sullivan
Towards Data Science
11 min readMay 23, 2022

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Photo by Jason Goodman on Unsplash

An important part of a data scientist’s role is to explain model predictions. Often, the person receiving the explanation will be non-technical. If you start talking about cost functions, hyperparameters or p-values you will be met with blank stares. We need to translate these technical concepts into layman’s terms. This…

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PhD Student | Writer | Houseplant Addict | Follow me for articles on IML, XAI, Algorithm Fairness and Remote Sensing