Figure 2
An R O C curve showing model performance with an A U C value of 0.92 for the new Ohlson logistic regression model.The graph titled “R O C Curve Analysis – New Ohlson Logistic Regression Model” shows a horizontal axis labeled “False Positive Rate” that ranges from 0.0 to 1.0 in increments of 0.2 units. The vertical axis is labeled “True Positive Rate” and ranges from 0.0 to 1.0 in increments of 0.2 units. The graph displays two lines. A legend is present on the bottom-right showing that the solid line indicates “R O C Curve (A U C equals 0.92)” and the dashed line indicates “Chance Level (A U C equals 0.50)”. The solid line representing “R O C Curve (A U C equals 0.92)” starts from (0.0, 0.0), passing through the points (0.1, 0.785), (0.2, 0.902), and (0.4, 0.971), and then moves rightward toward the point (1.0, 1.0). The diagonal dashed line representing “Chance Level (A U C equals 0.50)” starts from (0.0, 0.0) and ends at (1.0, 1.0) with a positive slope. Note: All numerical data values are approximated.

Re-estimated Ohlson’s area under ROC curve. Source: Authors’ own elaboration

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