Ensembling classification models based on phalanxes of variables with applications in drug discovery

DOI10.1214/14-AOAS778zbMath1454.62408arXiv1303.4805OpenAlexW3102050851MaRDI QIDQ124196

Ruben H. Zamar, William Welch, Jabed Tomal, Ruben H. Zamar, William J. Welch, Jabed Tomal

Publication date: 1 March 2015

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1303.4805

zbMATH Keywords

rankingmodel selectionclusteringrandom forestquantitative structure activity relationshiprare class

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Robust ranking by ensembling of diverse models and assessment metrics ⋮ EPX

Uses Software

• randomForest
• ElemStatLearn
• SMOTE

Cites Work

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• Bagging predictors
• An efficient method to estimate bagging's generalization error
• Statistical fraud detection: a review
• The Group Lasso for Logistic Regression
• Model Selection and Estimation in Regression with Grouped Variables
• Random forests

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