# Difference between revisions of "Non-Exhaustive Cross-Validation Task"

(Created page with "A Non-Exhaustive Cross-Validation Task is a Cross-Validation Task in which not all the ways of splitting samples are computed. * <B>Example(s):</B> ** a K-Fold C...") |
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A [[Non-Exhaustive Cross-Validation Task]] is a [[Cross-Validation Task]] in which not all the ways of splitting [[sample]]s are computed. | A [[Non-Exhaustive Cross-Validation Task]] is a [[Cross-Validation Task]] in which not all the ways of splitting [[sample]]s are computed. | ||

+ | * <B>Context:</B> | ||

+ | ** It can be solved by a [[Non-Exhaustive Cross-Validation System]] that implements a [[Non-Exhaustive Cross-Validation Algorithm]] | ||

* <B>Example(s):</B> | * <B>Example(s):</B> | ||

** a [[K-Fold Cross-Validation Task]], | ** a [[K-Fold Cross-Validation Task]], | ||

Line 5: | Line 7: | ||

** a [[Monte Carlo Cross-Validation Task]] | ** a [[Monte Carlo Cross-Validation Task]] | ||

* <B>Counter-Example(s):</B> | * <B>Counter-Example(s):</B> | ||

− | ** an [[Exhaustive Cross-Validation Task]] | + | ** an [[Exhaustive Cross-Validation Task]], |

− | ** a [[Nested Cross-validation Task]] | + | ** a [[Nested Cross-validation Task]]. |

− | |||

* <B>See:</B> [[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]] | * <B>See:</B> [[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]] | ||

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## Latest revision as of 23:45, 14 February 2020

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-