Sentence examples for cross-validation sampling from inspiring English sources
Cross-validation sampling was done in two ways.
A further benefit is the increased statistical power that has become a necessary condition for robust genetic analyses allowing the required cross-validation sampling strategy.
Seven classification algorithms (Naïve Bayes, Logistic Regression, k Nearest Neighbors, Classification Tree, CN2 rules, Support Vector Machine [SVM], and Random Forest) available for binary class prediction were used with 20-fold cross-validation sampling to classify the subjects as regenerator or degenerator based on the demographic, anthropometric, and biochemical data.
Cross-validation sampling was stratified by biparental family, so that in each cross-validation fold, ~80% of the RILs within each family were selected for inclusion in the training data set, with the remaining 20% allocated to the validation data set.
With such retrofitting of a model to the data (eg, removing items that are not well accounted for by the model), standard psychometric practices for establishing construct validity require use of a separate (cross-validation) sample 51 this was done in CFA-6 using the validation sample provided by Accreditation Canada.
When this kind of retrofitting of a model to the data is done, it is important to validate the modified model in a separate (cross-validation) sample; this was done in CFA-4 using an independent sample of upper-level nursing students from one Ontario university (n=132) as well as with data from our main sample regarding their classroom experiences.
Stability of the predictive equation was confirmed in the cross-validation sample (R2 =.68, p <.001).
This pattern of findings was almost identical between the derivation and cross-validation samples.
Scale development involved a derivation sample (n = 6265) and a separate cross-validation sample (n = 1000), both drawn from four universities and Amazon Mechanical Turk.
In -fold cross-validation, sample data is partitioned into folds, for.
RS assisted with data collection in the cross-validation sample.
