Running the flow trains the C5.0 rule and neural network (net). The network may take some time to train, but training can be interrupted early to save a net that produces reasonable results. After the learning is complete, model nuggets are generated: one represents the neural net and one represents the rule.

These model nuggets enable us to test the system or export the results of the model. In this example, we will test the results of the model.