Cross-study validation for the assessment of prediction algorithms

Motivation: Numerous competing algorithms for prediction in high-dimensional settings have been developed in the statistical and machine-learning literature. Learning algorithms and the prediction models they generate are typically evaluated on the basis of cross-validation error estimates in a few...

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Bibliographic Details
Main Authors: Bernau, Christoph, Riester, Markus, Boulesteix, Anne-Laure, Parmigiani, Giovanni, Huttenhower, Curtis, Waldron, Levi, Trippa, Lorenzo
Format: Online
Language:English
Published: Oxford University Press 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058929/