Making classifier performance comparisons when ROC curves intersect
type: Item
instance of: scholarly article
title: Making classifier performance comparisons when ROC curves intersect
zbMATH Open document ID: 1506.62068
author: Chiara Gigliarano
author: Silvia Figini
author: Pietro Muliere
published in: Computational Statistics and Data Analysis
publication date: 2018-11-23T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62P05
zbMATH DE Number: 6984027
zbMATH Keywords: ROC curve
zbMATH Keywords: AUC measure
zbMATH Keywords: stochastic dominance
zbMATH Keywords: classification
zbMATH Keywords: model selection
MaRDI profile type: Publication
full work available at URL: j.csda.2014.03.008
OpenAlex ID: W2046776299
cites work: Nonparametric Tests of Stochastic Dominance in Income Distributions
cites work: Consistent Tests for Stochastic Dominance
cites work: Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
cites work: Partial AUC Estimation and Regression
cites work: Continua of stochastic dominance relations for bounded probability distributions
cites work: Continua of stochastic dominance relations for unbounded probability distributions
cites work: Measuring classifier performance: a coherent alternative to the area under the ROC curve
cites work: Assessing the Performance of Classification Methods
cites work: A simple generalisation of the area under the ROC curve for multiple class classification problems
cites work: Nonparametric and semiparametric estimation of the receiver operating characteristic curve
cites work: ROC Curves for Continuous Data
cites work: Noisy replication in skewed binary classification.
cites work: Inequalities: theory of majorization and its applications
cites work: Comparison methods for stochastic models and risks
cites work: A note on stochastic dominance and inequality measures
cites work: Advances in Neural Networks – ISNN 2005
cites work: Q4301147
cites work: Transfer Sensitive Inequality Measures
cites work: Marker selection via maximizing the partial area under the ROC curve of linear risk scores
cites work: Assessing classifiers in terms of the partial area under the ROC curve
cites work: A semiparametric hypothesis testing procedure for the ROC curve area under a density ratio model
DOI: 10.1016/J.CSDA.2014.03.008
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description: scientific article; zbMATH DE number 6984027