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Modeling and Multivariate Methods - SAS

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Chapter 13 Recursively Partitioning Data 319<br />

Partition Method<br />

Decision Tree Report<br />

As an example, use the Boston Housing.jmp data table. Launch the Partition platform <strong>and</strong> assign mvalue to<br />

the Y, Response role. Assign all the other variables to the X, Factor role. If using JMP Pro, select Decision<br />

Tree from the Method menu, then click OK. The initial report is shown in Figure 13.3.<br />

Figure 13.3 Decision Tree Initial Report<br />

The Split button is used to partition the data, creating a tree of partitions. Repeatedly splitting the data<br />

results in branches <strong>and</strong> leaves of the tree. This can be thought of as growing the tree. The Prune button is<br />

used to combine the most recent split back into one group.<br />

Note the reported statistics:<br />

RSquare<br />

is the current R 2 value.<br />

N<br />

is the number of observations (if no Freq variable is used).<br />

Number of Splits<br />

is the current number of splits.<br />

AICc<br />

Count<br />

Mean<br />

is the corrected Akaike’s Information Criterion.<br />

gives the number of rows in the branch.<br />

gives the average response for all rows in that branch.<br />

Std Dev<br />

gives the st<strong>and</strong>ard deviation of the response for all rows in that branch.

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