Where are the large and difficult datasets?

DOI10.1007/S11634-009-0037-8zbMath1231.62002OpenAlexW2132025700MaRDI QIDQ734518

Adrien Jamain, David J. Hand

Publication date: 13 October 2009

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-009-0037-8

zbMATH Keywords

error ratemeta-analysiscomparative studiesrepositories

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Artificial intelligence (68T99)

Related Items (2)

Rank-based classifiers for extremely high-dimensional gene expression data ⋮ Credit scoring with drift adaptation using local regions of competence

Uses Software

• UCI-ml

Cites Work

• Mining supervised classification performance studies: a meta-analytic investigation
• Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results
• Very simple classification rules perform well on most commonly used datasets
• 10.1162/153244304322972694
• A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
• Unnamed Item
• Unnamed Item

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