Nested cross-validation with ensemble feature selection and classification model for high-dimensional biological data

DOI10.1080/03610918.2020.1850790MaRDI QIDQ6171282

Prabhakar Chalise, Yi Zhong, Jianghua He

Publication date: 17 July 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

zbMATH Keywords

cross-validationrandom forestsupport vector machineensemble learningelastic netarea under ROC

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification

Cites Work

• Unnamed Item
• Pegasos: primal estimated sub-gradient solver for SVM
• Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
• Boosting and microarray data
• Arcing classifiers. (With discussion)
• Boosting the margin: a new explanation for the effectiveness of voting methods
• Support-vector networks
• A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification
• Optimal feature selection for support vector machines
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Combining Pattern Classifiers
• Regularization and Variable Selection Via the Elastic Net
• Random forests

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