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Consider that there are 2 classes C1 and C2. Based on Gini index, which feature is better to split on for a decision tree in

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Consider that there are 2 classes C1 and C2. Based on Gini index, which feature is better to split on for a decision tree in the following case (the numbers indicate the number of instances of the specified class) (15 points) Feature-1 Feature-2 Feature-3 12 instances 12 instances 12 instances CO C1 2. 2 Co ci 1 0 Co ci 2 2 2. CO C1 3 1 CO C1 2 2 CO C1 5 5 N CO C1 1 0 Co ci 3 1 Co C1 3 1 2

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