Question: Q3. [20 point] Consider the Weather data to construct a decision tree for binary classification to decide to play outside or not. Use Entropy as

Q3. [20 point] Consider the Weather data to construct a decision tree for binary classification to decide to play outside or not. Use Entropy as measure of impurity for calculating for the following attributes. (show your work/calculations) A - (4 points) Calculate for Humidity B - (4 points) Calculate for Temperature consider each distinct value (multi-way split) C - (4 points) Calculate for Temperature consider values as groups [ (cool,mild), (hot)] (binary split) D - (4 points) Calculate for Temperature consider values as groups [(cool), (mild, hot)] (binary split) E - (4 points) Which attribute (with their split) you woul use to split the data, explain why

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