Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring Can Dominate the Proper One Even for Massive Data Sets

DOI10.1007/978-3-319-12355-4_23zbMath1333.62278OpenAlexW2473532945MaRDI QIDQ2787331

Hans-J. Lenz

Publication date: 25 February 2016

Published in: Frontiers in Statistical Quality Control 11 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-12355-4_23

zbMATH Keywords

over-fittingcurse of dimensiondependency structures

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Miscellanea. Small-sample degrees of freedom with multiple imputation
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