A statistical technique for comparing the accuracies of several classifiers

Stephen W. Looney

doi:10.1016/0167-8655(88)90016-5

A statistical technique for comparing the accuracies of several classifiers

Stephen W. Looney

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

The problem of comparing the accuracies of several classifiers that have been applied to the same set of observations is considered. A strategy based on the application of repeated measures analysis procedures to dichotomous data is proposed for making the comparison. The strategy is illustrated using a set of data taken from the literature.

Original language	English (US)
Pages (from-to)	5-9
Number of pages	5
Journal	Pattern Recognition Letters
Volume	8
Issue number	1
DOIs	https://doi.org/10.1016/0167-8655(88)90016-5
State	Published - Jul 1988
Externally published	Yes

Keywords

Cochran Q test
Related proportions
adjusted F tests
pairwise comparisons
repeated measures
training set
validation set

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/0167-8655(88)90016-5

Cite this

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title = "A statistical technique for comparing the accuracies of several classifiers",

abstract = "The problem of comparing the accuracies of several classifiers that have been applied to the same set of observations is considered. A strategy based on the application of repeated measures analysis procedures to dichotomous data is proposed for making the comparison. The strategy is illustrated using a set of data taken from the literature.",

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AB - The problem of comparing the accuracies of several classifiers that have been applied to the same set of observations is considered. A strategy based on the application of repeated measures analysis procedures to dichotomous data is proposed for making the comparison. The strategy is illustrated using a set of data taken from the literature.

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KW - Related proportions

KW - adjusted F tests

KW - pairwise comparisons

KW - repeated measures

KW - training set

KW - validation set

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A statistical technique for comparing the accuracies of several classifiers

Abstract

Keywords

ASJC Scopus subject areas

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