Response information 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.

The Response Information table contains the class identifier, the counts, and the percentage for each level of the response variable. Minitab displays either the Binary Response Information table or the Multinomial Response Information table, depending on the number of levels in your response. If you specify class weights, Minitab also displays this information.

In This Topic

Model validation with out-of-bag data
Model validation with out-of-bag data and separate test set

Model validation with out-of-bag data

The Response Information table shows the breakdown of response data into levels.

Variable: Name of the response variable.
Class: Levels of the response variable.
Count: Number of observations at each level of the response variable.
%: Percentage of observations at each level of the response variable.

Model validation with out-of-bag data and separate test set

If you use a test set in addition to the out-of-bag data method, Minitab displays results for both validation methods.

Training Count: Number of observations at each level of the response variable for the training data.
Training %: Percentage of observations at each level of the response variable for the training data.
Test Count: Number of observations at each level of the response variable for the test data.
Test %: Percentage of observations at each level of the response variable for the test data.

Response information table for Random Forests® Classification

Note

In This Topic

Model validation with out-of-bag data

Model validation with out-of-bag data and separate test set

Response information table for Random Forests^® Classification