What subject matter questions motivate the use of machine learning approaches compared to statistical models for probability prediction?

DOI10.1002/BIMJ.201300218zbMath1441.62286OpenAlexW1592922325WikidataQ43584998 ScholiaQ43584998MaRDI QIDQ2875749

Harald Binder

Publication date: 11 August 2014

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201300218

zbMATH Keywords

uncertaintylogistic regressionrisk predictionadded valueexternal knowledge

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Rejoinder ⋮ Probability estimation and machine learning-Editorial

Uses Software

• glmnet

Cites Work

• Classifier technology and the illusion of progress
• Network‐Based Penalized Regression With Application to Genomic Data
• Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory
• Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications

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