Sentence examples for model performance whereas from inspiring English sources

We used sets 1 9 to assess model performance, whereas we reserved set 10 to evaluate model over-fitting.

Almost 89% of the 'full' models fitted gave AUC values >0·9, indicating a 'high' model performance [28], whereas <2% of the models gave AUC values ≤0·7.

For catchments with low moisture homogeneity (IM < 80%), IM is a better predictor of model performance improvement than ITV; whereas for catchments with high moisture homogeneity (IM > 80%), ITV is a better predictor of performance improvement than IM.

Model selection criteria examples and comparison of model performance statistics.

Risk model performance was assessed.

Fig. 9 Model performance.

We assessed model performance as described above.

Pragmatic model performance is generally lower than ideal model performance.

Alternative measures of model performance.

When assessing model performance, it is important to remember that explanatory models are judged based on strength of associations, whereas predictive models are judged solely based on their ability to make accurate predictions.

LR model performance was compared to radiologists' performance.