SHAP

SHAP

Explain the output of any ML model

Description

Your model predicts well, but you can't explain why it flagged a customer as high risk. SHAP uses game-theoretic Shapley values to explain the output of any machine learning model.

It computes each feature's contribution to a prediction and plots waterfalls and beeswarms, from tree models to deep learning.

Features



Attribution:Shapley values.

Plots:Waterfall and beeswarm.

Any model:Trees to deep nets.

Views:Global and local.