Question: Using the variables listed below construct a decision tree classification model to predict Fraud with a 70-30 % partitioning rule and test the model accuracy

Using the variables listed below construct a decision tree classification model to predict Fraud with a 70-30 % partitioning rule and test the model accuracy and compute the AUC statistic for the model and report model precision and F1 score. Use seed 123.Age (numeric), Make (factor), VehiclePrice (factor), VehicleCategory (factor), Deductible (numeric), MaritalStatus (factor), Sex (factor), PastNumberOfClaims (factor), RepNumber (numeric), DriverRating (numeric) and FraudFound_P (factor)

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