7 Pitfalls to avoid while using Model-Agnostic Interpretation Techniques

General pitfalls of interpretable machine learning

Image by Mohamed Hassan from Pixabay

Interpretable machine learning techniques are becoming more popular among the data science community as more and more complex machine learning algorithms are adopted which are not easily interpretable.