Assessing classifiers in terms of the partial area under the ROC curve
type: Item
instance of: scholarly article
title: Assessing classifiers in terms of the partial area under the ROC curve
zbMATH Open document ID: 1468.62223
author: Waleed A. Yousef
published in: Computational Statistics and Data Analysis
publication date: 2018-10-19T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62G09
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6958942
zbMATH Keywords: classification
zbMATH Keywords: classifier assessment
zbMATH Keywords: partial area under the ROC curve
zbMATH Keywords: bootstrap
zbMATH Keywords: nonparametric inference
describes a project that uses: UCI-ml
describes a project that uses: ElemStatLearn
describes a project that uses: bootstrap
MaRDI profile type: Publication
full work available at URL: j.csda.2013.02.032
OpenAlex ID: W2013921804
cites work: Classifier variability: accounting for training and testing
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cites work: Q4318617
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cites work: Q3998716
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cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: A Probability Distribution and Its Uses in Fitting Data
cites work: Confidence interval estimation of partial area under curve based on combined biomarkers
cites work: Nonparametric estimation of the threshold at an operating point on the ROC curve
DOI: 10.1016/J.CSDA.2013.02.032
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description: scientific article; zbMATH DE number 6958942