Input Misclassification Cost

Indicates the misclassification costs that you specify. By default, Minitab uses equal costs of 1. To indicate higher costs, use larger values. Costs must be greater than 0.

Interpretation

For example, suppose the cost of misclassifying a potential customer is 10 times more costly than misclassifying an uninterested customer.

Predicted Level
Actual Level Yes (Event) No
Yes (Event) 10
No 1

Actual Class

Indicates the counts of the actual events.

Misclassed Training

Misclassed
Indicates the number of cases that were misclassified in the training data set.
%Error
Indicates the percentage of cases that were misclassified in the training data set.
Cost
Indicates the cost of the cases that were misclassified in the training data set. The cost is the product of the %error * misclassification cost.

Misclassed Test

Misclassed
Indicates the number of cases that were misclassified in the test data set.
%Error
Indicates the percentage of cases that were misclassified in the test data set.
Cost
Indicates the cost of the cases that were misclassified in the test data set. The cost is the product of the %error * misclassification cost.
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