Network Information

Figure 1. Network information
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 Marital status, Level of education, Retired, and Gender, 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 Customer category, for a total of 4 units in the output layer.
  • Covariates are rescaled using the adjusted normalized method.
  • Automatic architecture selection has chosen 9 units in the hidden layer.
  • All other network information is default for the procedure.

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