While tuning parameters for a classification algorithm, three different confusion matrices were produced. For parameter p1, the confusion matrix is c1. For parameter p2, the confusion matrix is c2. For parameter p3, the confusion matrix is c3. Explain how to draw RoC curve and write the necessary equations. Using the ROC curve, determine the best parameter among p1, p2, and p3. Show each of the steps clearly. [5 marks] Confusion matrix: c1 Predicted: No Predicted: Yes Actual: No 500 100 Actual: Yes 50 1000 Confusion matrix: c2 Predicted: No Predicted: Yes Actual: No 540 60 Actual: Yes 250 800 Confusion matrix: c3 Predicted: No Predicted: Yes Actual: No 570 30 Actual: Yes 450 600