Counterfactual Explanations For Machine Learning A Review. In this paper, we seek to review and categorize research on counterfactual explanations, a specific class of explanation that provides a link between what could have happened had input. Emerging explainability technique in machine learning.
【NeurIPS2020】最新《机器学习反事实解释》综述论文，22页pdf 专知VIP from www.zhuanzhi.ai
For a given datapoint and model, a counterfactual explanation is a datapoint in the. The “event” is the predicted outcome of an instance, the. In this paper, we seek to review and categorize research on counterfactual explanations, a specific class of explanation that provides a link between what could have happened had input.
For A Given Datapoint And Model, A Counterfactual Explanation Is A Datapoint In The.
Machine learning and data mining machine learning algorithms enable discovery of important “regularities” in large data sets; In this paper, we seek to review and categorize research on counterfactual explanations, a specific class of explanation that provides a link between what could have happened had input. A burgeoning body of research seeks to define the goals and methods of.
In Interpretable Machine Learning, Counterfactual Explanations Can Be Used To Explain Predictions Of Individual Instances.
The “event” is the predicted outcome of an instance, the. Emerging explainability technique in machine learning.
