Misclassification table for Random Forests^® Classification

Note

This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.

In This Topic

Out-of-Bag
Test

Every analysis includes out-of-bag validation. If you add validation with a test set to validation with the out-of-bag data, then Minitab displays results for both validation methods.

Out-of-Bag

Count: Indicates the counts of the actual events that are in the out-of-bag data.
Misclassed: Indicates the number of misclassified cases that are in the out-of-bag data.
%Error: Indicates the percentage of misclassified cases that are in the out-of-bag data.

Test

Count: Indicates the counts of the actual events that are in the test set.
Misclassed: Indicates the number of misclassified cases that are in the test set.
%Error: Indicates the percentage of misclassified cases that are in the test set.

Misclassification table for Random Forests® Classification

Note

In This Topic

Out-of-Bag

Test

Misclassification table for Random Forests^® Classification