Question: How is an attribute is typically selected for partitioning the data in tree growth algorithms in a decision tree? A . The attribute that results

How is an attribute is typically selected for partitioning the data in tree growth algorithms in a decision tree?
A.
The attribute that results in maximum information gain
B.
The attribute that has the minimal unique values
C.
The attribute that is categorical and does not have missing values
D.
The attribute that is the most likely predictor from a business point-of-view.

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