Sentence examples for assessing model performance in from inspiring English sources

Second, cohort heterogeneities pose challenges to assessing model performance in that it is impossible to reflect all patient and population level differences in any analysis; the availability of data that adequately characterize heterogeneities within this study cohort remain limited.

To reduce optimism associated with training and assessing model performance in the same dataset, we examined the performance of the two primary models (cross sectional and longitudinal) in the independent hospital 1 testing set, which had not been included in model development.

Therefore, the omission curve can be as important as the AUC value in terms of assessing model performance, if not more-so.

We will also assess model performance in the validation population by comparing sensitivity, specificity, positive and negative predictive values and discrimination and calibration compared to the performance in the derivation population.

More specifically, we note that in calculating P5 and P6, the between-imputation variability in and is averaged out (and thus eliminated before assessing model performance), resulting in a single deterministic prediction, derived from observed x and y.

For each model, we calculated the same indices for assessing model performance [19] as in the derivation model.

ROC curves are a frequently used tool for assessing model performance and sensitivity in predictive habitat models (Fielding and Bell 2003; Jiménez-Valverde 2007).

This includes careful assessment of different metrics for performance of visual saliency models, and identification of remaining difficulties in assessing model performance.

We thus do not advocate the use of P5 or P6 in assessing model performance.

We integrated the Area Under the Curve (AUC) for the ROC curves (Robin et al., 2011), in order to assess model performance, where a value of 0.5 and 1.0 indicates no predictive power and perfect prediction, respectively (Boyce et al., 2002).

Lastly, studies vary in the measures used to assess model performance.