Difference between revisions of "NonExhaustive CrossValidation Algorithm"
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Latest revision as of 23:43, 14 February 2020
A NonExhaustive CrossValidation Algorithm is a CrossValidation Algorithm in which not all the ways of splitting samples are computed.
 Context:
 It can be implemented by a NonExhaustive CrossValidation System to solve a NonExhaustive CrossValidation Task.
 Example(s):
 CounterExample(s):
 See: Temporal Data Evaluation, OutofSample 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 KFold Cross Validation Algorithm
References
2020
 (Wikipedia, 2020) ⇒ https://www.wikiwand.com/en/Crossvalidation_(statistics)#/Nonexhaustive_crossvalidation Retrieved:2020214.
 Nonexhaustive cross validation methods do not compute all ways of splitting the original sample. Those methods are approximations of leavepout crossvalidation.