\(F^*\): an interpretable transformation of the F-measure

DOI10.1007/s10994-021-05964-1OpenAlexW3136501774MaRDI QIDQ2051253

Nishadi Kirielle, Peter Christen, David J. Hand

Publication date: 24 November 2021

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

Full work available at URL: https://arxiv.org/abs/2008.00103

zbMATH Keywords

performanceclassificationprecisioninterpretabilityrecallerror rateF1-score

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Methodology for analyzing bitstreams based on the use of the Damerau-Levenshtein distance and other metrics

Uses Software

• UCI-ml
• Scikit

Cites Work

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• A note on using the F-measure for evaluating record linkage algorithms
• Measuring classifier performance: a coherent alternative to the area under the ROC curve
• A non-classical logic for information retrieval
• Assessing the Performance of Classification Methods

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