The phrase "auc used" is not correct in written English and lacks clarity.
It seems to be an abbreviation or a fragment that requires additional context to be understood or used appropriately.
Example: "The auc used in this analysis was not clearly defined."
Alternatives: "area under the curve" or "AUC applied".
Area under the curve (AUC) used to assess the accuracy of each test.
The learning curve for AUC used in this study is based on a linear prediction model (online supplementary appendix 1).
The values of AUC used to detect early ESCC such as pTis-1 and pStage0-I were 0.9479 and 0.9642, respectively.
The area under the ROC curve (AUC) used to validate the model's predictive ability and the associated standard error was 0.71 ± 0.01 (95% CI 0.68 - 0.74).
The accuracy of the questionnaires was evaluated using Receiver Operator Characteristic (ROC) curves with the Area Under the Curve (AUC) used to examine each test's accuracy to discriminate participants with insomnia from those without insomnia.
The area under the curve (AUC), used as a measure of growth, was calculated with Excel 2008 (Microsoft Corporation, Redmond, WA) and expressed as a percentage of the control.
Evaluation of Area Under Curve (AUC) using Receiver Operating Characteristic (ROC) method showed no significant difference in migraine and control groups (AUC=0,63-0,68 in mentioned above parameters).
The method separately establishes a full model and a partial model (without the variable), and it calculates the AUC using the testing data.
The second method was a jackknife estimator of the variable importance based on the change in the AUC using the testing data (Massada et al. 2013).
Probability of correctly predicting the game winner (AUC) using the Markov chain model and the 'leader wins' model for football, hockey, and basketball.
First we compute AUC using real gene expression data.
