AnyLoss: Transforming Classification Metrics into Loss Functions
Author:
Affiliation:
1. Department of Computer Science & Engineering and Lucy Family Institute for Data & Society, University of Notre Dame, Notre Dame, IN, USA
2. Lucy Family Institute for Data & Society, University of Notre Dame, Notre Dame, IN, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3672017
Reference30 articles.
1. Gabriel Bénédict, Vincent Koops, Daan Odijk, and Maarten de Rijke. 2021. SigmoidF1: A smooth F1 score surrogate loss for multilabel classification. arXiv preprint arXiv:2108.10566 (2021).
2. Data preprocessing for heart disease classification: A systematic literature review
3. The Balanced Accuracy and Its Posterior Distribution
4. Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, and Eyke Hüllermeier. 2015. Online f-measure optimization. Advances in Neural Information Processing Systems, Vol. 28 (2015).
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