cross-validation

listen to the pronunciation of cross-validation
Английский Язык - Турецкий язык

Определение cross-validation в Английский Язык Турецкий язык словарь

crossvalidation
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crossvalidation
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Английский Язык - Английский Язык
Any technique or instance of assessing how the results of a statistical analysis will generalize to an independent dataset
Cross-validation is a convenient tool to check the possibility of the utilisation of any interpolation method or to select the method dependent parameters basing only on the available samples The "leave-one-out" strategy is the basis of cross-validation: the value of known datum is estimated with the help of all other data (known-estimating datum is extracted and not used in this estimation) Then this procedure is repeated for each sample from the data set The difference between the estimated and known values (cross-validation residuals) gives the "map of errors" and scatter plots of estimated data from the corresponding measured ones The residuals can be investigated using all possible statistical tools It is expected for residuals to have the median, the spread and the skewness close to 0 in any region Cross-validation is convenient and powerful tool for comparing different methods and to select the best one See 8 Deterministic Interpolations
(Data Mining Concepts)
Related to predictive validity; using results for one sample of individuals to determine if validity coefficients will remain stable for another sample
The result of taking a regression equation from one set of data, applying it to a new set of data, and examining the correlation between the predicted and obtained values on the new set of data
cross-validation
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