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On the application of ROC analysis to predict classification performance under varying class distributions

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Publication:1777410
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DOI10.1007/s10994-005-4257-7zbMath1075.68079OpenAlexW2133439825WikidataQ62833720 ScholiaQ62833720MaRDI QIDQ1777410

Geoffrey I. Webb, Kai Ming Ting

Publication date: 13 May 2005

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-005-4257-7



Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (6)

Drift mining in data: a framework for addressing drift in classification ⋮ On constructing a fuzzy inference framework using crisp decision trees ⋮ Quantification-oriented learning based on reliable classifiers ⋮ Pointwise exact bootstrap distributions of ROC curves ⋮ On the study of nearest neighbor algorithms for prevalence estimation in binary problems ⋮ The bane of skew. Uncertain ranks and unrepresentative precision




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