Sentence examples for model performance where from inspiring English sources

The AUC is a threshold independent measure of model performance, where an AUC value of 1 indicates optimal performance, and AUC = 0.5 indicates a model performing no better than a randomly generated one.

The area under the receiver operator curve (AUC), implemented in Maxent, was used to assess overall model performance, where an AUC score of 0.5 indicates random prediction, and a score of 1 a perfect prediction.

Indeed this was demonstrated in our evaluation of model performance where each hospital was used in turn as the validation dataset.

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).

This finding suggests a more general approach for assessing model performance where the point estimates and confidence intervals are more robust to inclusion of additional information, probably because of less bias in the initial estimates from nonindependence in the observations, particularly from excluded exposure information.

We distinguish between ideal model performance and pragmatic model performance, where the former refers to the model's performance in an ideal clinical setting where all individuals have fully observed predictors and the latter refers to the model's performance in a real-world clinical setting where some individuals have missing predictors.

Median and ranges may be more suitable, e.g. for some model performance measures, where variance estimates are generally unavailable.

It has value higher than 0.5 when the model has good performance, where (R_{text{o}}^{ 2}) indicates the coefficient of determination between the observed values and the predicted values expected from a perfect fit line.

In Chicago, Ren 10 is opening charter schools and trying to bring their flexibility to two new models: "performance" schools, where teachers are unionised, and "contract" schools, which may hire non-union teachers but must still abide by some district rules.The first step is to identify the seeds of a good school.

We demonstrate that extrapolations into novel climates typically understate the magnitude of climate change and modeling uncertainty, creating a false impression of robust predictions in locations where model performance is poorest.

The model with randomly selected sets generated the lowest values in both the training set, where model performance should be "the best" and in the test set.