Assume we have three binary input attributes, A, B, C, and one binary outcome attribute Y. The three input attributes, A, B, C take values in the set {0,1} while the Y attribute takes values in the set {True, False} a. Which attribute (A, B, or C) has the highest information gain? b. Construct the full decision tree for this problem, without doing any pruning. If at any point you have a choice between splitting on two equally desirable attributes, choose the one that comes first alphabetically. If there is a tie on how to label a leaf, then choose True.(NEED ONLY HANDWRITTEN SOLUTIION)

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Decision Tree

A decision tree is a unique kind of probability tree. A popular and powerful tool used for prediction and classification. The decision tree structure is the same as a flowchart with a tree structure. The internal node refers to the attribute test, the branch refers to the outcome of the test, and the leaf node(terminal) contains the class label.