Sentence examples for auc which has a from inspiring English sources

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Lisa Anderson, president of the American University in Cairo (AUC) which has a campus near the institute, says the Dar al-Kutub, the National Library and Archives, is leading a rescue effort by scholars, library specialists, and archivists.

The area under the curve (AUC), which has a maximum value of 100%, is a summary statistic that accounts for both the sensitivity and the specificity of the predictions.

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As performances metric, we get for the EL FARABI database an AUC which has value of 0.79.

In addition, exposure to carboplatin is commonly targeted to a defined area under the plasma concentration time curve (AUC), which has been shown to more closely correlate with clinical parameters including toxicity and response than the dose administered [11,12].

And little or none of the American money is likely to be used against the AUC, which has also been accused of involvement in the drugs trade.

The −15 treatment arm had a significantly lower AUC of 0.41 ± 0.51 mmol/l/min than the 0 treatment arm at an AUC of 2.11 ± 0.66 mmol/l/min (P = 0.030) and the −30 treatment arm, which had a AUC of 1.89 ± 0.72 mmol/l/min (P = 0.029).

However, since random guessing produces the diagonal line between (0, 0) and (1, 1), which has an area of 0.5, a classifier should have an AUC higher than 0.5 (good classifiers should have AUC values close to 1).

However, as the random guessing produces the diagonal line between the points [0,0] and [1,1], which has an area of 0.5, reasonable tests should have 0. 5 ≤ AUC ≤ 1 (3.2).

When examining the ability to predict a hospital stay of greater than 16 days, EVCI had an AUC of 0.67 (95% CI 0.67 to 0.68) versus the DCCI which had an AUC of 0.57 (95% CI 0.56 to 0.57) with a p value for difference of <0.001.

This may have optimistically biased the performance of the computer system, which had an AUC value of 0.87, higher than any of the pathologists who participated in the study.

Two of the top genes were selected to serve as a logistic regression-based smoking history classifier (RUNX1T1, AKR1C2) which had an AUC of 0.78 within the training set.

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