Christoph Molnar
(3 articles)
1986
Feature Importance
Techniques used to identify and rank the significance of input variables (features) in contributing to the predictive power of a ML model.
Generality: 800
2016
Explainability
Ability of a system to transparently convey how it arrived at a decision, making its operations understandable to humans.
Generality: 820
2016
Interpretability
Extent to which a human can understand the cause of a decision made by an AI system.
Generality: 900