How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models

29 Oct 2019Gero Szepannek

One of the most popular approaches to understanding feature effects of modern black box machine learning models are partial dependence plots (PDP). These plots are easy to understand but only able to visualize low order dependencies... (read more)

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