i. Calculate the accuracy of the machine learning method. ii. Compute sensitivity and specificity of the machine learning method. iii. What is the false positive rate? (b) A receiver operating characteristics (ROC) graph is a technique for visualizing and selecting classifiers based on their performance. i. On a diagram, draw the ROC of an ideal classification method and a "no information" classifier, respectively.[4 marks] ii. Briefly explain the meaning of the area under the ROC curve (AUC).What is the AUC value of the "no information" classifier? [4 marks] (c) Compare and contrast linear regression method and k-nearest neighbours regression method. (d) How can you deal with synergy effect in linear regression method?

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