Modeling and Multivariate Methods - SAS

320 Recursively Partitioning Data Chapter 13
Partition Method
Initially, all rows are in one branch. In order to determine the first split, each X column must be considered.
The candidate columns are shown in the Candidates report. As shown in Figure 13.4, the rooms column
has the largest LogWorth, and is therefore the optimum split to make. See “Statistical Details” on page 348
for more information about LogWorth.
Figure 13.4 Candidates Columns
The optimum split is noted by an asterisk. However, there are cases where the SS is higher for one variable,
but the Logworth is higher for a different variable. In this case > and < are used to point in the best direction
for each variable. The asterisk corresponds to the condition where they agree. See “Statistical Details” on
page 348 for more information about LogWorth and SS.
Click the Split button and notice the first split was made on the column rooms, at a value of 6.943. Open
the two new candidate reports. See Figure 13.5.