G-fold cross validation

{
  "id": "MLC-T-CHM-004870",
  "term": "G-fold cross validation",
  "field": "Chemistry",
  "definition": "A technique for assessing the predictive performance of a statistical model by partitioning the original dataset into G distinct, non-overlapping subsamples, or folds. The model is trained G times, each time using G-1 folds as the training data and the remaining fold as the validation data. The final performance metric is the average of the results obtained from the G validation tests.",
  "subject": "Analytical Chemistry",
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 420 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/g-fold-cross-validation/"
}