Specify the class weights for Random Forests® Classification

Predictive Analytics Module > Random Forests® Classification > Class weights

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

Class weights allow you to specify the weights for each class of the response variable. For example, an observation from one class may weigh more than an observation from a different class. Class weights are similar to prior probabilities and can help provide a more accurate model.
Minitab does not weigh the classes.
Weighted to ensure equal sample sizes across classes
Minitab automatically balances unequal class sizes so that the class weights are proportional to the sample frequencies of classes.
Specify weights
Enter a weight for each class. Class weights affect the model generation and the model performance, but do not affect the class counts.

Class weights must be > 0.The default value is 1.