Model Summary

The model summary displays information about the results of training, testing, and applying the final network to the holdout sample.

Sum of squares error is displayed because that is always used for RBF networks. This is the error function that the network tries to minimize during training and testing.
The percentage of incorrect predictions is taken from the classification table and will be discussed further in that topic.