Running the Analysis

  1. To run a Multilayer Perceptron analysis, from the menus choose:

    Analyze > Neural Networks > Multilayer Perceptron...

    Figure 1. Multilayer Perceptron: Variables tab
    Multilayer Perceptron: Variables tab
  2. Select Previously defaulted [default] as a dependent variable.
  3. Select Level of education [ed] as a factor.
  4. Select Age in years [age] through Other debt in thousands [othdebt] as covariates.
  5. Click the Partitions tab.
    Figure 2. Multilayer Perceptron: Partitions tab
    Multilayer Perceptron: Partitions tab
  6. Select Use partitioning variable to assign cases.
  7. Select partition as the partitioning variable.
  8. Click the Output tab.
    Figure 3. Multilayer Perceptron: Output tab
    Multilayer Perceptron: Output tab
  9. Deselect Diagram in the Network Structure group.
  10. Select ROC curve, Cumulative gains chart, Lift chart, and Predicted by observed chart in the Network Performance group. The Residual by predicted chart is unavailable because the dependent variable is not scale.
  11. Select Independent variable importance analysis.
  12. Click OK.

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