# Non-Exhaustive Cross-Validation Task

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.

- Non-exhaustive cross validation methods do not compute all ways of splitting the original sample. Those methods are approximations of leave-