Network Information

The network information table displays information about the neural network and is useful for ensuring that the specifications are correct. Here, note in particular that:

• The number of units in the input layer is the number of covariates plus the total number of factor levels; a separate unit is created for each category of Level of education and none of the categories are considered "redundant" units as is typical in many modeling procedures.
• Likewise, a separate output unit is created for each category of Previously defaulted, for a total of two units in the output layer.
• Automatic architecture selection has chosen four units in the hidden layer.
• All other network information is default for the procedure.

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