Select the results to display for Fit Model and Discover Key Predictors with TreeNet^® Classification

Select the tables that you want to display for the analysis.

Method

Display information about model validation, the criterion for selecting the optimal number of trees, and other information about the analysis.

Response information

Display class and count information for the responses.

Model summary

Display the statistics that describe the performance of the predictive model for model evaluation. Includes the number of predictors, important predictors, number of trees grown, misclassification rates, and goodness-of-fit information about the model.

Assign event class when

For a binary response, specify the threshold to assign a case to the event class.

• Event probability exceeds specified value: Specify the minimum predicted probability to assign a case to the event class. For example, a value of 0.5 means that Minitab assigns a case to the event class when the probability of the event is higher than 0.5.
• Event probability exceeds sample event rate: Specify to use the sample event rate from the training data as the threshold to assign the predicted class for a case. When the sample event rate is greater than 0.50, this option makes events less likely to be classified as the event and more likely to be classified as the non-event. Typically, you consider this option when you want to balance the misclassification rates of the events and nonevents compared to what they would be with a threshold of 0.50.

Confusion matrix

Display a matrix to compare performance measurements of the classification model.

Misclassification

Display the details of class misclassification.