Below are the evaluation results of three classification models (two decision tree and one K Nearest Neighbor model) on training and testing data. 1. Decision Tree model with max depth =2 : Performances on training data: Performances on testing data: 2. Decision Tree model with max depth =10: Performances on training data: Performances on testing data: 3. K Nearest Neighbor model: Performances on training data: Performances on testing data: Yes: BAD BUY No: NOT BAD BUY 1. Which model has the best performance on "Yes" class? why? ( 2 points) 2. Compare the accuracy of two decision tree models, which decision tree model is better, and why? ( 3 points) 3. Which model has the highest confidence in predicting BAD BUY cars on testing data? ( 2 points) 4. Which model is the best to identify BAD BUY cars on testing data? (2 points) 5. How many BAD BUY cars are in the testing data? (1 point) 6. If you are a car dealership, which decision model you will use to predict IsBadBuy, and why? ( 3 points)