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

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(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.
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* <B>Context:</B>
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** 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]],
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** 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]] such as:
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** an [[Exhaustive Cross-Validation Task]],
** a [[Nested Cross-validation Task]] such as:
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** 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