Explain Your Machine Learning Predictions With Tree SHAP (Tree Explainer)

Author(s): Chetan Ambi

Originally published on Towards AI.

Shapley values

Source: SHAP

Explainable AI (XAI) is one of the hot topics in AI-ML. It refers to the tools and techniques that can be used to make any black-box machine learning to be understood by human experts. There are many such tools available in the market such as LIME, SHAP, ELI5, Interpretml, etc.

The goal of this article is to understand what are Shapley values, how SHAP value emerges from Shapley value. Then we will use the SHAP value to interpret and explain any machine learning predictions. Let’s get started.

As stated by the author on the Github page — “SHAP (SHapley Additive exPlanations)… Read the full blog for free on Medium.

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Published via Towards AI