Response information table for Fit Model and Discover Key Predictors with TreeNet® Classification

Note

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

The Response Information table contains the class identifier, the counts, and the percentage for each level of the response variable. Minitab displays either the Binary Response Information table or the Multinomial Response Information table, depending on the number of levels in your response. If you specify class weights or individual case weights, Minitab also displays this information.

With cross-validation as the model selection method

The Response Information table shows the breakdown of response data into levels.
Variable
Name of the response variable.
Class
Levels of the response variable.
Count
Number of observations at each level of the response variable.
%
Percentage of observations at each level of the response variable.

With separate test set as the model selection method

If you use a test set instead of cross-validation, Minitab displays results for the Training and Test sets for comparisons. Use the Test results to evaluate the performance of the TreeNet® model. Use the Training results to evaluate whether the model overfits the training data.
Training Count
Number of observations at each level of the response variable for the training data set.
Training %
Percentage of observations at each level of the response variable for the training data set.
Test Count
Number of observations at each level of the response variable for the test data set.
Test %
Percentage of observations at each level of the response variable for the test data set.
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