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Keyword: Interpretable Machine LearningOpen AccessArticle
7 Pages, 1,606 KB 
A Machine Learning Model Selection Considering Tradeoffs between Accuracy and Interpretability
Abstract:
Applying black-box ML models in high-stakes fields like criminology, healthcare and real-time operating systems might create issues because of poor interpretability and complexity. Also, model building methods that include interpretability is now one of the growing research topics due to the absence of interpretability metrics that are both model-agnostic and quantitative. This paper introduces model…
Read More(This article belongs to the SP13 (Special Issue on Innovation in Computing, Engineering Science & Technology 2022) & Section Artificial Intelligence in Computer Science (CAI))