How-To
TreeNet® Regression
Before you start
Overview
Data considerations
Example
Example of discover key predictors
Example of prediction
Perform the analysis
Enter your data
Predictor elimination
Specify the interactions
Specify the validation method
Select the analysis options
Select the graphs to display
Select the results to display
Store statistics
Select an alternative model
Select an alternative model from Discover Key Predictors
Tune hyperparameters
Select hyperparameter values to evaluate
Add partial dependence plots
Select more predictors to plot
Predict new results
Predict new results
Select the prediction results to display
Store prediction statistics
Interpret the results
Method table
Response information table
Model evaluation
Optimization of hyperparameters
R-squared vs number of trees plot
MAD vs number of trees plot
Model summary table
Relative variable importance chart
Scatterplot of response fits vs actual values
Top 2-way interaction strength tables
Boxplot of residuals
Percent of error statistics
Partial dependence plots
Prediction table
Methods and formulas
Methods
Selection of the optimal number of trees
Response information
Model summary
Predictor elimination
Tune hyperparameters
Percent of error statistics
Top 2-way interaction strength
Partial dependence plots