Root mean square error of cross validation

{
  "id": "MLC-T-CHM-010402",
  "term": "Root mean square error of cross validation",
  "field": "Chemistry",
  "definition": "A statistical measure of the average magnitude of the errors in predictions made by a model during a cross-validation procedure. It quantifies the difference between the predicted values and the actual values for data points not used in training the model. A lower RMSECV indicates a better predictive performance of the model.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "root mean squared error of prediction"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 424 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/root-mean-square-error-of-cross-validation/"
}