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An ROC (receiver operating characteristic) curve plots the false positive rate (x-axis) against the true positive rate (y-axis) for different model thresholds. The graph below

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An ROC (receiver operating characteristic) curve plots the false positive rate (x-axis) against the true positive rate (y-axis) for different model thresholds. The graph below shows three different ROC curves labeled 1, 2, and 3. (Click the icon to view the pruned decision tree.) Requirements 1. Compare the curves labeled 1, 2, and 3 in the chart above. Which curve represents the model that would be most useful for a management accountant? Explain. 2. Explain what a "straight line" ROC curve actually represents. Requirement 1. Compare the curves labeled 1, 2, and 3 in the chart above. Which curve represents the model that would be most useful for a management accountant? Explain. The more accurately a model predicts negative outcomes as negative outcomes and positive outcomes as positive outcomes, the closer the ROC curve will Therefore, the ROC curve labeled V represents the model that would be most useful for a management accountant. Requirement 2. Explain what a "straight line" ROC curve actually represents. - X A straight line ROC curve is one that is perfectly meaning it is i Figure 3 0.75 2 True Positive Rate 0.5 0.25 Click to select your answer(s). 0.25 0.5 0.75 False Positive Rate

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