Note: SAS Enterprise Miner automatically assigns the role Target to any
variable whose name begins with the prefix TARGET_. For more
information about the rules that SAS Enterprise Miner uses to automatically
assign roles, see the SAS Enterprise Miner Help.
f. Select the Yes option button to indicate that you want to build models based on
the values of decisions. Click Next.
• On the Prior Probabilities tab, select the Yes option button to indicate that
you want to enter new prior probabilities. In the Adjusted Prior column of the
table, enter 0.05 for Level 1 and 0.95 for Level 0.
The values in the Prior column reflect the proportions of observations in the
data set for which TARGET_B is equal to 1 and 0 (0.25 and 0.75,
respectively). However, as the business analyst, you know that these
proportions resulted from over-sampling of donors from the 97NK
solicitation. In fact, you know that the true proportion of donors for the
solicitation was closer to 0.05 than 0.25. For this reason, you adjust the prior
• On the Decision Weights tab, the Maximize option button is automatically
selected, which indicates that you want to maximize profit in this analysis.
Enter 14.5 as the Decision 1 weight for Level 1, -0.5 as the Decision 1
weight for Level 0, and
0.0 as the Decision 2 weight for both levels. Click
In this example, Decision 1 is the decision to mail a solicitation to an
individual. Decision 2 is the decision to not mail a solicitation. If you mail a
solicitation, and the individual does not respond, then your cost is $0.50 (the
price of postage). However, if the individual does respond, then based on the
previous solicitation, you expect to receive a $15.00 donation on average.
Less the $0.50 postage cost, your organization expects $14.50 profit. If you
do not mail a solicitation, you neither incur a cost nor expect a profit. These
numbers are reflected in the decision weights that you entered in the table.
g. In the Data Source Wizard — Create Sample window, you decide whether to
create a sample data set from the entire data source. This example uses the entire
data set, so you need to select No. Click Next.
h. The Role of the data source is automatically selected as Raw. Click Next.
i. Click Finish.
12 Chapter 3 • Set Up the Project