Test the Network Performance

After training you will want to see how well the neural network performs on data that it has not yet "seen". NeuroSolutions for Excel will automatically feed the data that you tagged as "Testing" into the trained neural network and then generate one of the two types of reports shown below. Classification problems are those where the goal is to label each input with a specified classification. A simple example of a classification problem is one where the goal of the neural network is to label each person as male or female (the two classes). In this type of report you are most concerned with the percentage of cases that the neural network classified correctly. Regression problems are those where the goal is to determine a numeric value given a set of inputs. An example of a regression problem is one where you are trying to have the neural network predict a future stock price. Here you are most concerned with how close the network output is to the desired output.

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