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Consider the following dataset: X1 X2 X3 Y T T T 1 F T F 0 T F T 0 F F T 1 If
Consider the following dataset:
X1 | X2 | X3 | Y |
T | T | T | 1 |
F | T | F | 0 |
T | F | T | 0 |
F | F | T | 1 |
If we fully train the decision tree using the root feature (as the answer of the previous question) until each leaf has data points of the same output label (i.e., all leaf nodes will be completely homogenous), what will be the depth of that tree?
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