Web: http://arxiv.org/abs/2209.06408

Sept. 15, 2022, 1:11 a.m. | Yanyun Wang, Dehui Du, Yuanhao Liu

cs.LG updates on arXiv.org arxiv.org

Classifiers have been widely implemented in practice, while how to evaluate
them properly remains a problem. Commonly used two types of metrics
respectively based on confusion matrix and loss function have different
advantages in flexibility and mathematical completeness, while they struggle in
different dilemmas like the insensitivity to slight improvements or the lack of
customizability in different tasks. In this paper, we propose a novel metric
named Meta Pattern Concern Score based on the abstract representation of the
probabilistic prediction, …

arxiv classification evaluation meta

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