SAGE Reference - Encyclopedia of Research Design

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Cross-Validation

In: Encyclopedia of Research Design
Edited by: Neil J. Salkind
Subject:Research Design

Cross-validation is a data-dependent method for estimating the prediction error of a fitted model or a trained algorithm. The basic idea is to divide the available data into two parts, called training data and testing data, respectively. The training data are ...

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  Salkind, N. J. (2010). Cross-validation. In Encyclopedia of research design (Vol. 1, pp. 315-316). SAGE Publications, Inc., https://dx.doi.org/10.4135/9781412961288.n97
  
  Salkind, Neil J. "Cross-Validation." In Encyclopedia of Research Design, edited by Salkind, Neil J., 315-16. Thousand Oaks, CA: SAGE Publications, Inc., 2010. https://dx.doi.org/10.4135/9781412961288.n97.
  
  Salkind, N. J. 2010. Cross-Validation. In: Neil J. Salkind Editor, 2010. Encyclopedia of Research Design, Thousand Oaks, CA: SAGE Publications, Inc. pp. 315-316 Available at: <https://dx.doi.org/10.4135/9781412961288.n97> [Accessed 18 May 2022].
  
  Salkind, Neil J. "Cross-Validation." Encyclopedia of Research Design. Edited by Vol. 1. Thousand Oaks: SAGE Publications, Inc., 2010, pp. 315-16. SAGE Knowledge. 18 May 2022, doi: https://dx.doi.org/10.4135/9781412961288.n97.
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