Implement the information gain

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Reference no: EM133625971

Question: Implement the information gain (i.e., entropy of the parent node minus the weighted sum of entropy of the child nodes) splitting rule for greedy decision tree learning. Include your code below. See decision tree starter.py for the recommended starter code. It contains a simplified decision tree implementation that splits only on one feature at a time, using the functions you implement. Note: The sample implementation assumes that all features are continuous. You may convert all your features to be continuous or augment the implementation to handle discrete features.

Reference no: EM133625971

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