Select the tables that you want to display for the analysis.
- 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.
- Display the details of class misclassification.