Question 1: Suppose that a Naive Bayesian classifier is created using a given training data set. Then, predictions are made on several testing points using this classifier. The predicted positive class probabilities and the actual class labels for these testing points are shown as follows. Please draw the ROC curve for the above prediction. Please clearly denote your splitting values and show the TP, FP, TN, FN, TPR, FPR values at each splitting value.

Sample ID	Actual Class Label	Predicted Positive Class Probability
1	-	0.1
2	+	0.3
3	-	0.4
4	+	0.4
5	+	0.6
6	+	0.8