You have
just modeled the input data using decision trees, which are nonparametric.
As part of your analysis, you will now perform the following tasks
in order to also model the data using parametric methods:
-
You will impute values to use as replacements for
missing values that are in the input data. Regressions and neural
networks would otherwise ignore missing values, which would decrease
the amount of data that you use in the models and lower their predictive
power.
-
You will transform input variables to make the usual
assumptions of regression more appropriate for the input data.
-
You will model the input data using logistic regression,
a statistical method with which your management is familiar.
-
You will model the input data using neural networks,
which are more flexible than logistic regression (and more complicated).
In SAS Enterprise Miner, there are two nodes for development of neural
network models. In this example, you will use both.