Go Classes | DA Course | Machine Learning

Suppose we fit three classifiers and plot the ROC curves for each classifier on the test set. The test set contains 100 points: the first 50 points are labeled 0 and the second 50 points are labeled 1. Determine which models produce each ROC curve.

1. Predicts $P(Y = 1|X)$ using a random number between 0 and 1
2. Assigns $P( Y = 1|X) = 0.3$ to the first 50 points and $P( Y = 1|X) = 0.4$ to the second 50 points.
3. Assigns $P( Y = 1|X) = 0.8$ to the first 50 points and $P(Y = 1|X) = 0.6$ to the second 50 points.

1. ROC A, ROC B, ROC C
2. ROC A, ROC C, ROC B
3. ROC B, ROC A, ROC C
4. ROC A, ROC B, ROC A