Refer to the following exhibit:

After creating a decision tree in SAS Visual Statistics, what is the value in deriving a Leaf ID Variable?

• A.Use the leaf ID data item in filters in other types of visualizations.
• B.Use the leaf ID to identify the most important variables.
• C.Use the leaf ID to identify clusters.
• D.Use the leaf ID to rank order by posterior probabilities.

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When examining the Cluster Summary tab, what information is typically available?

• A.Statistics for each cluster, such as mean and standard deviation
• B.The number of iterations performed during clustering
• C.The decision tree structure for each cluster
• D.The number of variables in the analysis

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In group-by modeling, when is the p-value for the group-by variable considered significant?

• A.When the p-value is greater than 0.05
• B.When the p-value is exactly 0.05
• C.When the p-value is less than 0.01
• D.When the p-value is less than 0.05

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Which of the following criteria are commonly used for pruning a decision tree?

• A.Maximum tree height
• B.Minimum split count
• C.Maximum depth
• D.Maximum leaf nodes

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In decision tree analysis, what is typically found on the y-axis of an icicle plot?

• A.Depth of the tree
• B.Feature values
• C.Impurity measures
• D.Class labels

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