Difference between revisions of "Non-Exhaustive Cross-Validation Algorithm"
(Created page with "A Non-Exhaustive Cross-Validation Algorithm is a Cross-Validation Algorithm in which not all the ways of splitting samples are computed. * <B>Context:</B> ** It ca...")
Latest revision as of 23:43, 14 February 2020
- See: Temporal Data Evaluation, Out-of-Sample Forecasting Experiment, Extrinsic Performance, Variance, Model Validation, Statistics, Accuracy, Predictive Modelling, Validation Set, Overfitting, Selection Bias, Partition of a Set, Statistical Sample, Data, Training Set, Sample, Stratified K-Fold Cross Validation Algorithm
- (Wikipedia, 2020) ⇒ https://www.wikiwand.com/en/Cross-validation_(statistics)#/Non-exhaustive_cross-validation Retrieved:2020-2-14.
- Non-exhaustive cross validation methods do not compute all ways of splitting the original sample. Those methods are approximations of leave-p-out cross-validation.