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Table 1. Play Tennis dataset Day Outlook Humidity Wind Play D1 Sunny High Weak No D2 Sunny High Strong No D3 Overcast High Weak Yes D4 Rain High Weak Yes D5 Rain Normal Weak Yes D6 Rain Normal Strong No D7 Overcast Normal Strong Yes D8 Sunny High Weak No D9 Sunny Normal Weak Yes D10 Rain Normal Weak Yes D11 Sunny Normal Strong Yes D12 Overcast High Strong Yes D13 Overcast Normal Weak Yes D14 Rain High Strong No New Data (X) Day Outlook Humidity Wind Play D15 Rain High Weak ?The given 14 instances in Table 1, show the mapping between different attributes. The new data feature vector (x) is also provided to predict whether Dee will play Tennis on Day 15 or not using machine learning technique. Answer the following questions from the dataset provided. a) Which of the major machine learning categories (supervised, unsupervised, or reinforcement) does this problem fall under? Justify your answer. (2 Marks) b) The decision tree takes the training set and splits it into the smaller subsets based on features. We repeat this procedure at every node of a tree with different subsets and attributes till there is no uncertainty that Dee will play Tennis on Day 15 or not. Draw the relevant decision trees using divide and conquer method to predict whether the Dee will play tennis or not on Day 15 based on new feature vector (X). Substantiate your answer. (8 Marks) Note: Students can draw relevant decision trees using pen and paper, take a snapshot and provide as evidence in the Assignment answer file along with their explanation. Page 5 of 13