Tutorial B – Developing an Application Scorecard Model in SAS Enterprise Miner
B.1.1 Step 1 – Import the XML Diagram
B.1.2 Step 2 – Define the Data Source
B.1.3 Step 3 – Visualize the Data
B.1.4 Step 4 – Partition the Data
B.1.5 Step 5 –Perform Screening and Grouping with Interactive Grouping
B.1.6 Step 6 – Create a Scorecard and Fit a Logistic Regression Model
B.1.7 Step 7 – Create a Rejected Data Source
B.1.8 Step 8 – Perform Reject Inference and Create an Augmented Data Set
B.1.9 Step 9 – Partition the Augmented Data Set into Training, Test and Validation Samples
B.1.10 Step 10 – Perform Univariate Characteristic Screening and Grouping on the Augmented Data Set
B.1.11 Step 11 – Fit a Logistic Regression Model and Score the Augmented ...
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