Sentence examples for minus specificity from inspiring English sources

A ROC curve is the graph where the y axis represents sensitivity and the x axis represents 1 minus specificity.

The ROC curve plots sensitivity (true-positive rate) against one minus specificity (false-positive rate), as the classification threshold varies.

The ROC curve is a plot of sensitivity (true positive rate) and one minus specificity (true negative rate) for each possible threshold value of the biomarker of interest.

For anti-CCP2 and anti-MCV, the receiving operating characteristic (ROC) curve was constructed by plotting sensitivity against one minus specificity (1 – specificity), varying the cutoffs [ 9, 26].

The power of discrimination can be represented by the area under the ROC curve (AUC), which plots sensitivity against 1 minus specificity.

A further improvement on NRI examines all potential cutoff values in the ROC analysis and examines the integral of sensitivity verses the integral of one minus specificity.

In the summary ROC plots the vertical axis shows sensitivity, while the horizontal axis shows one-minus-specificity.

The true ROC curve is generated by plotting the true sensitivity on the vertical axis versus one minus the true specificity on the horizontal axis.

The Receiver Operator Characteristics (ROC) curve shows the sensitivity as function of one minus the specificity.

The ROC curve plots the sensitivity of all possible values of the threshold against one minus the specificity.

The ROC curves were obtained by plotting the sensitivity of detecting RL as a function of [1 minus the specificity].