Modeling and Multivariate Methods - SAS

336 Recursively Partitioning Data Chapter 13
Graphs for Goodness of Fit
Table 13.2 Validation Methods (Continued)
Validation Column
Uses a column’s values to divide the data into parts. The column is
assigned using the Validation role on the Partition launch window. See
Table 13.1.
The column’s values determine how the data is split, and what method
is used for validation:
• If the column’s values are 0, 1and 2, then:
– Rows with 0 are assigned to the Training set
– Rows with 1 are assigned to the Validation set
– Rows with 2 are assigned to the Test set
• If the column’s values are 0 and 1, then only Training and
Validation sets are used.
Graphs for Goodness of Fit
The graph for goodness of fit depends on which type of response you use. The Actual by Predicted plot is
for continuous responses, and the ROC Curve and Lift Curve are for categorical responses.
Actual by Predicted Plot
For continuous responses, the Actual by Predicted plot shows how well the model fits the data. Each leaf is
predicted with its mean, so the x-coordinates are these means. The actual values form a scatter of points
around each leaf mean. A diagonal line represents the locus of where predicted and actual values are the
same. For a perfect fit, all the points would be on this diagonal.