Table 6. Training Dataset Outdoor Temperature AC Running Indoor Condition Temperature Index Cool Hot Hot Hot Cool Cool Hot Cool Hot Cool Cool Cool Hot Hot Cool Cool Cool Cool Cool Cool On 4 On On On On Given that Kevin observed the "Outdoor Temperature" and "AC Running Condition", Kevin wants to use these two input variables to predict the output variable "Indoor Temperature" Please use the decision tree method to learn the rules from Table 1) Construct the decision tree by using Gini index. 2) Suppose we use Table 7 to test the decision tree learnt from the above Table 6. Please provide the confusion matrix. Please compute the True Positive Rate (TPR) and True negative rate (TNR) Table 7. Testing Dataset Outdoor Temperature AC Running Indoor Index Condition Temperature Hot Hot Cool Cool Hot Cool Hot Hot Cool Hot Hot Cool Cool Cool Hot Cool 3 4 6 Table 6. Training Dataset Outdoor Temperature AC Running Indoor Condition Temperature Index Cool Hot Hot Hot Cool Cool Hot Cool Hot Cool Cool Cool Hot Hot Cool Cool Cool Cool Cool Cool On 4 On On On On Given that Kevin observed the "Outdoor Temperature" and "AC Running Condition", Kevin wants to use these two input variables to predict the output variable "Indoor Temperature" Please use the decision tree method to learn the rules from Table 1) Construct the decision tree by using Gini index. 2) Suppose we use Table 7 to test the decision tree learnt from the above Table 6. Please provide the confusion matrix. Please compute the True Positive Rate (TPR) and True negative rate (TNR) Table 7. Testing Dataset Outdoor Temperature AC Running Indoor Index Condition Temperature Hot Hot Cool Cool Hot Cool Hot Hot Cool Hot Hot Cool Cool Cool Hot Cool 3 4 6