title: Machine learning versus statistical modeling.
abstract: This is a discussion of the following papers: "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory" by Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley, and Andreas Ziegler; and "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications" by Jochen Kruppa, Yufeng Liu, Hans-Christian Diener, Theresa Holste, Christian Weimar, Inke R. König, and Andreas Ziegler.
authors.affiliation: Department of Medical Informatics, Biometry and Epidemiology, University of Munich, Germany.
authors.forename: Anne-Laure
authors.initials: AL
authors.lastname: Boulesteix
authors.forename: Matthias
authors.initials: M
authors.lastname: Schmid
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry / Q000379:methods*; D015233:Models, Statistical; D015203:Reproducibility of Results; D013269:Stochastic Processes
keywords: Logistic regression; Prediction; Reproducibility; Transportability; Tuning parameters