Select the results to display for Fit Model and Discover Key Predictors with TreeNet^® Regression

Available results are the same for the following analyses:

Predictive Analytics Module > TreeNet® Regression > Fit Model > Results

Predictive Analytics Module > TreeNet® Regression > Discover Key Predictors > Results

This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.

Select the tables that you want to display for the analysis.

Method: Display information about model validation, the criterion for selecting the optimal number of trees, 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, important predictors, number of trees grown, 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.

Select the results to display for Fit Model and Discover Key Predictors with TreeNet® Regression