As you move along the ROC curve, what changes?
A. The priors in the population
B. The true negative rate in the population
C. The proportion of events in the training data
D. The probability cutoff for scoring
Answer:D
As you move along the ROC curve, what changes?
A. The priors in the population B. The true negative rate in the population C. The proportion of events in the training data D. The probability cutoff for scoring
Explanation: As you move along the ROC curve, you get more true positive (Sensitivity) but also more false positive (1-Specificity). It also changes the probability cutoff for scoring as the idea is to maximize the difference between True Positive and False Positive.