Figure 13.
ROC curve for logistic regression showing sensitivity against specificity. The curve indicates model performance with a title at the top.The image displays a receiver operating characteristic (ROC) curve for logistic regression, illustrating the relationship between sensitivity and specificity. The horizontal axis represents specificity, ranging from zero to one, while the vertical axis shows sensitivity, also ranging from zero to one. A blue line curves upwards from the origin, indicating varying levels of sensitivity with respect to specificity. The curve is complemented by a diagonal gray line representing the no-discrimination line, indicating random chance. The title ROC Curve - Logistic Regression is positioned at the top of the graph.

ROC curve

Source: Own elaboration

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