2021
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
ICML 2021spotlight
In recent years, methods were proposed for assigning feature importance scores to measure the contribution of individual features. While in some cases the goal is to understand a specific model, in many cases the goal is to understand the contribution of certain properties (features) to a real-world…