(Solved): Consider the following Play Tennis dataset with the attributes and possible values: Attributes: {p ...

Consider the following Play Tennis dataset with the attributes and possible values: Attributes: {possible values} Outlook:{Sunny, Rain, Overcast} Temperature: {Hot, Mild, Cool} Humidity: (High, Normal) Wind: (Strong, Weak} PlayTennis: (Yes, No} ID Temperature Humidity High Wind Weak Strong Play Tennis No Hot Hot No High Normal Hot Weak Yes Mild Normal Strong Yes Mild Normal Weak No Mild High Strong No Mild Normal Weak Yes Cool Normal Weak Yes Mild Normal Strong Yes Cool Normal Strong No 10 11 12 Rain Overcast Hot High Weak Yes Overcast Cool High Strong Yes 13 Overcast Mild High Strong Yes 14 Overcast Hot Normal Weak Yes Based on the weather data, the machine learning task is to predict whether to play tennis or not. Provide answers to the following two questions: A. Which of the machine learning techniques (supervised or unsupervised) does this problem fall under? Why? B. In case of building a decision tree, what should be the tree output in the leaf box labelled B? Why? Outlook ... Sunny Overcast Rain De Outlook 1 Sunny 2 Sunny 3 Sunny 4 Sunny 5 Sunny 6 Rain 7 Rain 8 Rain 9 Rain 1