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

 2. Consider that there are 2 classes C1 and C2. Based

2. 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 12 instances 12 instances instances CO C1 2 2 2 2 CO C1 1 0 Co ci 2 2 3 1 | 5 5 Co ci 1 0 3 1 | 31

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