Select the tables that you want to display for the analysis.
- Method
- Display information about model validation, node splitting method, and other information about the analysis.
- Response
information
-
Display descriptive statistics about the response variable, such as the mean and standard deviation.
- Model
summary
- Display the statistics that describe the model. Includes the number of predictors, the important predictors, the number of nodes, and goodness-of-fit information about the model.
- Percent
error statistics due to K% largest residuals; K=
- Display the error statistics for both the training and test data for the largest residuals.
- You can specify the percentage to display, 0 < K ≤ 100. K=20 is the default value, which means that up to 20% of the largest residuals are displayed.
- Terminal
node type
- Choose whether to display the best nodes, the worst nodes, or both for the Fits and error statistics table and the Criteria for classifying subjects table.
- Best: By default,
Minitab displays the best terminal nodes. The best nodes have the lowest MSE or MAD values.
- Worst: Select to display the worst terminal nodes. The worst nodes have the highest MSE or MAD values.
- Best and
Worst: Select to display the best and worst terminal nodes.
- Response
fits and error statistics by K terminal nodes; K=
- By default,
Minitab displays 5 terminal nodes.
- Criteria
for classifying subjects into K terminal nodes; K=
- By default,
Minitab displays 5 terminal nodes.