Sentence examples for an auc from inspiring English sources

An AUC of 1.0 indicates perfect classifier whereas an AUC of classifier no better than random is 0.5.

An AUC of 1.0 indicates perfect concordance, whereas an AUC of 0.5 indicates no relationship.

An AUC close to 1 indicates an optimal method, whereas an AUC of 0.5 just random performance.

An AUC of 0.50 indicated no better than chance discriminability, and an AUC of 1.00 indicated perfect discriminability.

An AuC of 0.5 indicates a random classifier; an AuC of 1 indicates a perfect classifier.

An AUC of 1 indicates perfect prediction while an AUC of 0.5 represents random guessing.

An AUC of ≥0.9 is defined as "outstanding", an AUC of 0.8 0.9 is considered "excellent", an AUC of 0.7 0.8 represents "acceptable" discrimination, and an AUC of ≤0.5 represents no discrimination.

An AUC of 1.00 indicates perfect discrimination whereas an AUC of 0.50 indicates that discrimination is no better than chance.

An AUC of 1.0 indicates perfect discrimination, whereas an AUC of 0.50 indicates no performance better than chance.

A random prediction produces an AUC value of 0.5.

For example, the linear SVM performed poorly on DNA sequence-specific features with an AUC = 0.69, while the Random Forest and AdaBoost performed best with an AUC = 0.81.