Compute the weighted gini index of split

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Reference no: EM133087032

Consider the same dataset as in Problem 1.

X1

X2

Y

3

5

1

1

4

0

3

2

0

2

2

1

4

1

1

1. We would now like to train a classification tree to the above dataset. Consider the split X1 = 2.5. Compute the weighted Gini Index of this split.

2. Suppose we change the split to X1 = 3.5. Provide an argument for why this split is better or worse.

3. Based on your judgment, introduce a split on X2 in addition to the previous split on X1 (either 2.5 or 3.5). Show that this split improves fit.

Reference no: EM133087032

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