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.

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.
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