Prediction error sum of squares

{
  "id": "MLC-T-CHM-009368",
  "term": "Prediction error sum of squares",
  "field": "Chemistry",
  "definition": "A statistical measure used in multivariate calibration and regression analysis to assess the predictive ability of a model. It is calculated by summing the squared differences between the predicted values and the actual observed values for a set of validation samples. A lower value indicates a better predictive performance of the model.",
  "synonyms": [
    "residual sum of squares",
    "sum of squared errors of prediction",
    "sum of squared residuals"
  ],
  "subject": "Analytical Chemistry",
  "see_also": [
    "multivariate calibration",
    "root mean squared error of prediction"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 422 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/prediction-error-sum-of-squares/"
}