In decision tree analysis, predictor variables may be nominal, ordinal, or continuous in level.
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Q4: In a classification tree, there may be
Q5: The same predictor variable may appear in
Q6: The label for the first or top
Q7: What is a way decision tree analysis
Q8: Interaction effects are handled automatically by decision
Q10: Decision trees are
A) Nonparametric
B) Nonlinear
C) Robust against
Q11: In decision tree analysis, it is not
Q12: Selecting salient variables prior to running the
Q13: Name the most common approach used to
Q14: What is true of sample size in
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