Using Python (Jupyter) or MATLAB programming to perform the following: 1. Process the data and make training dataset and test dataset 2. Use training dataset to design a decision tree based on entropy criteria to make decision, to sell or not to sell. Then use test dataset to evaluate the performance in terms of precision, accuracy, and AUC-ROC curve. Please display the decision tree and export IF-THEN rules from the decision tree. 3. Optimize the decision tree and repeat task 2.