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Model predictivity was confirmed by a cross validation procedure (Wold, 1978 ).
To compare the prediction accuracies of the models 1and 7 QTL in the NAM panel, we estimated prediction accuracies by a cross validation scheme of random subsampling.
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ADMIXTURE provides an assessment of the "best" K by computing a cross validation index, which points to the predictive accuracy of the model at a given K.
By using a cross validation strategy within the Holstein and Jersey data sets, we were able to identify and confirm a large number of QTL.
Although MDR doesn't allow for adjustments of covariates, it does control for multiple comparisons and spurious risk estimates by using a cross validation and permutation testing scheme as a built-in feature.
As a cross validation, results by a parallel ELISA quantification also fell well within this zone.
We evaluated the validity of the regression models by a cross-validation procedure.
Classification performance along with CI was obtained by a cross-validation strategy based on several partitions.
The stability of the classification procedure was checked by a cross-validation run.
Therefore, throughout the paper, the training phase always refers to an initial feature-selection, followed by a cross-validation to find the best parameters.
Although some attempts are being made to 'a priori' decide which kernel function is more suitable for a problem, no definite solution for this task has been found yet, since choosing the best kernel very often reduces to a selection among different possibilities by a cross-validation process.
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CEO of Professional Science Editing for Scientists @ prosciediting.com