Threshold optimisation for multi-label classifiers

DOI10.1016/j.patcog.2013.01.012zbMath1296.68140OpenAlexW2141072099MaRDI QIDQ743256

Ignazio Pillai, Fabio Roli, Giorgio Fumera

Publication date: 23 September 2014

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2013.01.012

zbMATH Keywords

multi-label classificationprecision-recall curve\(F\) measureS-cut thresholding

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

Multi-label core vector machine with a zero label ⋮ A stacking weighted \(k\)-nearest neighbour with thresholding ⋮ Designing multi-label classifiers that maximize \(F\) measures: state of the art

Uses Software

• LIBSVM
• MULAN

Cites Work

• Introduction to Information Retrieval
• A non-classical logic for information retrieval
• Unnamed Item

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