X + Opaper%202017.pdf SI . c) Model 1 and Model2 predict whether a customer will churn or remain loyal in a telecommunications dataset. Given information below on both models (i.e. decision tree, lift chart and confusion matrix), determine the 'best' decision tree (DT) based on the weighted combination of the Accuracy, Simplicity and Lift measures. Use the table 1 to fill your answers. 19 marks]] Assumptions: Overall Score: This is a weighted combination of the scores for accuracy, simplicity, and lift. The weighs are: Accuracy: 0.50, Simplicity: 0.25, Lift: 0.25. The target event is Churn. Accuracy: Use the confusion matrix to determine the number of records correctly classified Lift: The lift value (i.e. Percentage of Churn) for rules that have posterior probability greater than 50%i.e. Confidence for Churn > 0.50. Use the approach specified in the lecture notes to obtain the corresponding score. In lift chart Confidence for Churn is on x-axis and Percentage of Churn and Count on y-axis. . Simplicity: The score is to be obtained is obtained using the formulas below: o Scoresimplicity = 0 if NumberOfLeaves 0.50. Use the approach specified in the lecture notes to obtain the corresponding score. In lift chart Confidence for Churn is on x-axis and Percentage of Churn and Count on y-axis. . Simplicity: The score is to be obtained is obtained using the formulas below: o Scoresimplicity = 0 if NumberOfLeaves