Question: Task 2 You have been given a binary classification problem (positiveegative) where the original dataset contains 29 positive and 35 negative samples. We have 2
Task 2 You have been given a binary classification problem (positiveegative) where the original dataset contains 29 positive and 35 negative samples. We have 2 features of A1 and A2 which can be used for splitting the data. We would like to build a decision tree and figure below provides the resulting splits for each feature. Which feature would you use to split the data? A1 or A2? Justify your answer. Tip: use information gain. (29+, 35-) A1=? (29,35-) A2=? 16.30-) 23
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