Model Summary

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

• Cross entropy error is displayed because the output layer uses the softmax activation function. This is the error function that the network tries to minimize during training.
• The percentage of incorrect predictions is taken from the classification table and will be discussed further in that topic.
• The estimation algorithm stopped because the maximum number of epochs was reached. Ideally, training should stop because the error has converged. This raises questions about whether something went wrong during training and is something to keep in mind while further inspecting the output.

Next