RuleMatrix: Visualizing and Understanding Classifiers with Rules

• Published in: IEEE transactions on visualization and computer graphics Vol. 25; no. 1; pp. 342 - 352
• Main Authors: Ming, Yao, Qu, Huamin, Bertini, Enrico
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Data models; Data visualization; Decision trees; explainable machine learning; Interactive systems; Knowledge representation; Machine learning; Neural networks; rule visualization; Support vector machines; visual analytics; Visualization

With the growing adoption of machine learning techniques, there is a surge of research interest towards making machine learning systems more transparent and interpretable. Various visualizations have been developed to help model developers understand, diagnose, and refine machine learning models. Ho...