Non-Exhaustive Cross-Validation Task
Jump to navigation
Jump to search
A Non-Exhaustive Cross-Validation Task is a Cross-Validation Task in which not all the ways of splitting samples are computed.
- Context:
- It can be solved by a Non-Exhaustive Cross-Validation System that implements a Non-Exhaustive Cross-Validation Algorithm.
- Example(s):
- Counter-Example(s):
- 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.
References
2020
- (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.