2. For this question, suppose that we have a larger version of the Super-Duper Electronics dataset from Table 1 containing data on 1,000 customers. (a) Having trained a decision tree model on this dataset, we want to estimate its classification accuracy when predicting the Buys computer label for new customers who we have not seen before. Choose a method which is appropriate for estimating classification accuracy for new customers. Write down the name of the method you chose. (b) Briefly (in your own words) describe the evaluation method you chose. (c) Briefly explain why the evaluation method you chose is appropriate. (d) Your manager has asked you to create an informative graph to visualize the performance of the model, to be presented to company executives who are not experts in data science. The presentation will help the executives decide whether the model is ready to be deployed for use by the company. Choose an appropriate graph/curve to be presented in the meeting. Write down the name of the curve you chose. (e) Briefly (in your own words) describe the curve you chose (f) Briefly explain why the curve you chose is appropriate