Before revision: Explainable machine learning seeks to provide various stakeholders with insights into model behavior via feature importance scores, counterfactual explanations, and influential samples, among other techniques.
After revision: Explainable machine learning seeks to provide various stakeholders with insights into model behavior by using various methods such as feature importance scores, counterfactual explanations, and influential samples, among other techniques.