Prediction and Internal Statistical Cross Validation

  • Dinov I
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Abstract

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,...

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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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