Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification

1 code implementation • 1 Sep 2021 • Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li

While practitioners commonly combine ambiguous outcome labels for all data points (instances) in an ad hoc way to improve the accuracy of multi-class classification, there lacks a principled approach to guide the label combination for all data points by any optimality criterion.

Classification Multi-class Classification +1