Response information table for CART® Classification

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 prior probabilities or 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, before any splits. The data in this table match the data in the root node of the tree.
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 select a tree with a test set instead of with cross-validation, Minitab displays results for the Training and Test sets for comparisons. Use the Test results to evaluate the performance of the classification tree. The training data set is used to grow and prune the tree, while the test set is used to select the tree.
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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