Here, we have designated classification error as thefitness function.

The lower classification error seen with the BPNN is due toover-fitting.

It was the very first specimen, despite the classification error.

Advantages are that it is free of classification error, and it requires minimum advance knowledge of the population other than the frame.

Discriminant analysis then, finds "good" regions of to minimize classification error, therefore leading to a high percent correct classified in the classification table.

On October 1, 1995, actions were effected to reclassify positions that were misclassified due to classification error.

This technique requires less cognitive effort than the former technique; it uses an automatic method to determine the optimal parameters, which minimize the classification errors.

It features a monster by the same name (actually a classification error took place; in reality it features a nukekubi, not a rokurokubi).

Thiscriterion is either a classification error of zero or the maximumnumber of generations has been reached.

This extension significantly improves the classification error, but involves a more expensive optimization problem.