Stat > Predictive
Analytics > CART®
Classification > Results
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=
