Cross-validation

Berrar, Daniel (2019). Cross-validation. In: Ranganathan, Shoba; Gribskov, Michael; Nakai, Kenta; Schönbach, Christian and Cannataro, Mario eds. Encyclopedia of Bioinformatics and Computational Biology. Reference Module in Life Sciences, 1. Elsevier, pp. 542–545.

DOI: https://doi.org/10.1016/B978-0-12-809633-8.20349-X

Abstract

Cross-validation is one of the most widely used data resampling methods to estimate the true prediction error of models and to tune model parameters. This article provides an introduction to the most common types of cross-validation and their related data resampling methods.

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