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.