Cross-validation is a statistical approach for validating predictive methods, classification models, and clustering techniques. It assesses the reliability and stability of the results of the corresponding statistical analyses (e.g., predictions, classifications,...
CITATION STYLE
Dinov, I. D. (2018). Prediction and Internal Statistical Cross Validation. In Data Science and Predictive Analytics (pp. 697–734). Springer International Publishing. https://doi.org/10.1007/978-3-319-72347-1_21
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