Sentence examples for auc characteristics from inspiring English sources

(C) Area Under the ROC Curve (AUC) characteristics are shown for fully nested cross-validated estimates using the "pathway -selected 11 gene set, the "array"-selected 10 gene set, and the 4 clinical variables.

The SanchezC and Stransky datasets share a total of 8518 GeneSymbols and were used to explore the AUC characteristics.

A sensitivity of 0.75 and specificity of 0.70 with an area under the curve (AUC) characteristic of 0.80 was determined a priori as acceptable.

The accuracy of the predictive model was measured as the area under receiver operating characteristics (AUC) curve.

ROC: Receiver operating characteristic; AUC: Area Under Curve; 95% CI: 95% Confidence Interval.

It yielded an ROC AUC (Receiver Operating Characteristic Area Under the Curve score) of 0.710, considerably better than a random predictor.

Serum folate also had the highest area under the receiver operating characteristic (AUC) curve to predict the risk of HHcy (AUC, 0.81) and BHcy (AUC, 0.77).

We assessed the predictive power of these models using the area under the receiver operating characteristic (AUC).

Area under the curve (AUC) receiver operating characteristic (ROC), sensitivity, and specificity were used to evaluate the diagnostic performance of HRT II algorithms.

Model discrimination was estimated using the area under the receiver operating characteristic (AUC) curve (Hosmer et al. 2013).

The area under the receiver-operating characteristic (AUC) from cross-validation was used as a standard measure of model quality.