Sentence examples for a graph of sensitivity from inspiring English sources

The ROC curve is a graph of sensitivity (y-axis) vs. 1- specificity (x-axis).

The curve is a graph of sensitivity versus 1-specificity (or false-positive rate) for various cutoff definitions of a positive diagnostic test result[50].

A graph of sensitivity against 1-specificity is called ROC curve.

A graph of sensitivity against 1 – specificity is called a receiver operating characteristic (ROC) curve.

An ROC curve (a graph of "sensitivity" and "1 minus specificity" for different cutoff values) is used to compare the accuracy of diagnostic tests; larger area under curve indicates higher accuracy [ 11].

A receiver operating characteristic curve is a graph of sensitivity versus 1-specificity (or false-positive rate) for various cut-off definitions of a positive diagnostic test result [ 35].

Figure  2 shows the receiver operating curve (ROC), a graph of the sensitivity (y‒axis) and the specificity (x-axis).

The ROC curve is a graph of the sensitivity against one minus specificity as the threshold cut-off is varied, and also calculates the area under the curve.

Open image in new window Fig. 3 Graph of sensitivity analysis.

In the graph of sensitivity and specificity, sensitivity represented the number of positive cases correctly classified and specificity represented the number of negative cases incorrectly classified as positive.

A tool used in analysis of tests is the calculation of the area under the curve (AUC) of the receiver-operating characteristic graph of sensitivity versus (1-specificity).