Machine learning versus statistical modeling

被引：77

作者：

Boulesteix, Anne-Laure ^{[1
]}

Schmid, Matthias ^{[2
]}

机构：

[1] Univ Munich, Dept Med Informat Biometry & Epidemiol, D-81377 Munich, Germany

[2] Univ Munich, Dept Stat, D-81377 Munich, Germany

来源：

BIOMETRICAL JOURNAL | 2014年 / 56卷 / 04期

关键词：

Logistic regression; Prediction; Reproducibility; Transportability; Tuning parameters; ERROR RATE; PREDICTION; BIOINFORMATICS;

D O I：

10.1002/bimj.201300226

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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, Gerard Biau, Michael Kohler, Inke R. Konig, 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. Konig, and Andreas Ziegler.

引用

页码：588 / 593

页数：6

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