The accompanying data set contains three predictor variables (x₁, x₂, and x₃) and the target variable (y). Partition the data to develop a naïve Bayes classification model where “1” denotes the positive or success class for y. 

a. Report the accuracy, sensitivity, specificity, and precision rates for the validation data set. 

b. Generate the cumulative lift chart. Does the entire lift curve lie above the baseline?

c. Generate the ROC curve. What is the area under the ROC curve (or the AUC value)? 

d. Can the naïve Bayes model be used to effectively classify the data? Explain your answer.