Random forest versus logistic regression: a large-scale benchmark experiment

Random forest versus logistic regression: a large-scale benchmark experiment

Abstract Background and goal The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific f...

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Bibliographic Details
Main Authors: Raphael Couronné, Philipp Probst, Anne-Laure Boulesteix
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Bioinformatics
Subjects:
Logistic regression
Classification
Prediction
Comparison study
Online Access:http://link.springer.com/article/10.1186/s12859-018-2264-5

Internet

http://link.springer.com/article/10.1186/s12859-018-2264-5

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