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Akaike's information criterion and Schwarz's Bayesian information criterion aided in the model selection [26], and the Pratt-adjusted coefficient of determination [27, 28] and the root mean square error [29] were used as measures of the models' fit to the data.
19 26 We then calculated the common diagnostic accuracy measures of the models (that is, sensitivity, specificity, and positive and negative predictive values).
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The numerical performance measures of the model are total weighted delay of all trains at their destination terminals and computational time for resolution.
The measures of the model performance of the model h2 are only slightly worse than those of h4.
The other measures of the model performance such as the GCV and adjusted r 2 also give worse results than those of the full models h1-h5, when dropping any single effects.
Chemical bonding features such as stereochemistry, hydrogen bonding and distribution of bond lengths and angles are complementary measures of the model quality.
The impact of missed cancers by mammographic surveillance was assumed to be negligible on the outcome measures of the modelling in the base-case analysis.
Inspection of the plots showing measures of the model uncertainty (2 σ) versus the mean probability, for each slope unit, reveals that LDA and LR models are characterized by a smaller variability than the QDA model.
C-statistic (area under the ROC Curve) was calculated as a measure of the models' ability to predict mortality.
The model selection was based on the evaluation measures of the measurement models.
The GDI gives a quantitative measure of the model discrepancy with respect to the real system.
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