Blood Glucose Mass > 115 Yes Carbohydrate Consumption> 70 Drug Effectiveness Ratio = 0.4333 Yes Drug Effectiveness Ratio = 0.582 Diastolic Blood Pressure > 42.3 ON Yes Drug Effectiveness Ratio = 0.859 Drug Effectiveness Radio = 0.1667 (a) Using that decision tree, predict the drug effectiveness ratio for a patient with Blood Glucose of 90 g, Carbohydrate Consumption of 57 g, Insulin Mass of 3781 mg, and Diastolic Blood Pressure of 29.7 N. (b) What would K-Nearest Neighbours with A set to 3 predict for that same patient? (You may consider the data as it is given when determining nearest neighbours, without going through an initial step of standardizing the data) (c) According to this decision tree, what is the most important feature for predicting drug effectiveness? Justify your answer. (d) After constructing a predictive model, why are decision trees faster to make predictions than KNN