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We provide a general theoretical analysis of expected out-of-sample utility, also referred to as decision-theoretic classification, for non-decomposable binary classification metrics such as F-measure and Jaccard coefficient.
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An exact algorithm for f-measure maximization
Krzysztof J Dembczynski, Willem Waegeman, Weiwei Cheng, and Eyke Hüllermeier · 2011
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Optimizing F-measures: a tale of two approaches
Nan Ye, Kian Ming A Chai, Wee Sun Lee, and Hai Leong Chieu · 2012
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Consistent binary classification with generalized performance metrics
Oluwasanmi O Koyejo, Nagarajan Natarajan, Pradeep K Ravikumar, and Inderjit S Dhillon · 2014
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On the statistical consistency of plug-in classifiers for non-decomposable performance measures
Harikrishna Narasimhan, Rohit Vaish, and Shivani Agarwal · 2014
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Optimizing f-measures by cost-sensitive classification
Shameem Puthiya Parambath, Nicolas Usunier, and Yves Grandvalet · 2014
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