Select the tables that you want to display for the analysis.
- Method
- Display information about model validation, node splitting method, and other information about the analysis.
- Response
information
-
Display class information, count information, prior probabilities, and other information about the responses.
- Model
summary
- Display the statistics that describe the model. Includes the number of predictors, important predictors, number of nodes, misclassification costs, and goodness-of-fit information about the model.
- Confusion
matrix
-
Display a matrix to compare performance measurements of the classification models.
- Misclassification
- Display the details of class misclassification.
- Terminal
node type
- Choose whether to display the best nodes, the worst nodes, or both for the Effectiveness of classification table and the Criteria for classifying subjects table.
- Best: By default,
Minitab displays the best terminal nodes. The best nodes have the least impurity. For a binary response, the best nodes have event probabilities close to the two end cases of 1 or 0.
- Worst: Select to display the worst terminal nodes. The worst nodes have the most impurity. For a binary response, the worst nodes have event probabilities close to the middle value of 0.5.
- Best and
Worst: Select to display the best and worst terminal nodes.
- Effectiveness of classification by K terminal
nodes; K=
- By default,
Minitab displays 5 terminal nodes.
- Criteria
for classifying subjects into K terminal nodes; K=
- By default,
Minitab displays 5 terminal nodes.