Extreme value correction: a method for correcting optimistic estimations in rule learning

DOI10.1007/S10994-018-5731-3zbMath1480.62131OpenAlexW2810881507MaRDI QIDQ669278

Jure Žabkar, Janez Demšar, Ivan Bratko, Martin Možina

Publication date: 15 March 2019

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

Full work available at URL: https://doi.org/10.1007/s10994-018-5731-3

zbMATH Keywords

extreme value distributionmachine learningmultiple comparisonsrule learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistics of extreme values; tail inference (62G32) Pattern recognition, speech recognition (68T10)

Uses Software

• UCI-ml
• LIBLINEAR
• ismev
• Orange
• ENDER

Cites Work

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• Predictive learning via rule ensembles
• Multiple comparisons in induction algorithms
• ROC `n' rule learning -- towards a better understanding of covering algorithms
• On the quest for optimal rule learning heuristics
• A sharper Bonferroni procedure for multiple tests of significance
• 10.1162/153244303321897690
• Machine Learning: ECML 2004
• Order Statistics from the Gamma Distribution
• An introduction to statistical modeling of extreme values

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