Sentence examples for measures validation is from inspiring English sources

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The task of searching for optimal hyper-parameters, with respect to the performance measures (validation), is the called 'SVM Model Selection'.

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As mentioned earlier, criterion validation is measured by comparing the responses to questionnaires to a recognised gold standard.

A Translatability AssessmentSM of the measure has since been performed confirming the cultural appropriateness of the measure and psychometric validation is planned for the future to further explore the reliability, and validity of the new questionnaire in a larger caregiver sample.

The Response Measures Validation Study is a multicenter, prospective cohort study of patients who are starting initial or subsequent treatments for chronic GVHD.

A detailed description of the job strain measure and its validation is provided elsewhere.

The detailed list of these potential drug targets incorporating the network centrality measure scores and validation is provided as Supplementary Material available online at http://dx.doi.org/10.1155/2015/212061.org/10.1155/2015/212061

Note that here we assume that the case mix of the validation study is identical to the development study; if this is not the case then the interpretation of the value of D (or, indeed, any other model performance measure) at external validation is more complex [ 29, 30].

Validation of smoking cessation will not be undertaken as reviews confirm the accuracy of self-report measures, and conclude that validation is unnecessary in trials where there is no strong association between the interviewer and respondent [ 43].

Cross validation is a measure of model accuracy and its robustness against random changes in the relative composition of the training data and the data for which an inference is made [21].

When choosing a measure, researchers must consider the purpose of the measure in the planned analysis, the outcome and population on which the measure's original validation was conducted, the measure's predictive power, and availability of data to construct the measure.

When B = 500, prediction accuracy measured by cross validation was always maximized at r =1 and the greatest value of n for OLS.

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