Diagnosing a disorder in a classification benchmark

James McDermott; Richard S. Forsyth

doi:10.1016/j.patrec.2016.01.004

Diagnosing a disorder in a classification benchmark

James McDermott, Richard S. Forsyth

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

53 Citations (Scopus)

Abstract

A large majority of the many hundreds of papers which use the UCI BUPA Liver Disorders data set as a benchmark for classification misunderstand the data and use an unsuitable dependent variable.

Original language	English
Pages (from-to)	41-43
Number of pages	3
Journal	Pattern Recognition Letters
Volume	73
DOIs	https://doi.org/10.1016/j.patrec.2016.01.004
Publication status	Published - 1 Apr 2016
Externally published	Yes

Keywords

BUPA liver disorder
Benchmarks
Classification
Machine learning
UCI

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10.1016/j.patrec.2016.01.004

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title = "Diagnosing a disorder in a classification benchmark",

abstract = "A large majority of the many hundreds of papers which use the UCI BUPA Liver Disorders data set as a benchmark for classification misunderstand the data and use an unsuitable dependent variable.",

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language = "English",

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journal = "Pattern Recognition Letters",

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KW - Benchmarks

KW - Classification

KW - Machine learning

KW - UCI

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EP - 43

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

ER -

Diagnosing a disorder in a classification benchmark

Abstract

Keywords

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