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Using SAS ® Enterprise Miner TM to Prescribe a PreScreen Mailing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pruitt, Rex Bankcard, Premier Falls, Sioux |
| Copyright Year | 2008 |
| Abstract | The Objective (Target) of this project was to prescribe a pre-screen test mailing program using a combination of a “Risk Score” and Specific Credit Bureau Attributes (CBA). CBA variables chosen were predictive of accounts that generate revenue in the Top 50% of the Company's customer portfolio, have acceptable delinquency levels and have a “Risk Score” less than what is normally acceptable. A random sample of 20,000 records was selected from our total current portfolio of customers ranked by Revenue. The binary target value was determined using the objective statement noted above. The affirmative value for the target was represented by approximately 19% of the sample population. Four modeling methods were used: Neural Network, Logistic Regression, Dmine Regression and Decision Tree. Based on model assessment, the Decision Tree is the strongest model based on misclassification rate, KS, Gini, etc. Since we will be establishing “Cut-Points” based on a decision process, the Decision Tree model will be used for identification of the selection parameters as opposed to deploying a record scoring methodology. Tables that will be used to demonstrate the data preparation/selection, model selection scores, and chosen decision tree specifications are as follows: TABLES: 1. Decision Tree Cut Point Table 2. Variable Definition Table 3. Sample Selection Statistics Tables (3.1 & 3.2) 4. Training Model Comparison Table 5. Validation Model Comparison Table 6. Decision Tree Variable Significance Table 7. Decision Tree Model Misclassification Plot 8. Decision Tree Model Average Square Error Plot. Data Mining and Predictive Modeling SAS Global Forum 2008 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www2.sas.com/proceedings/forum2008/146-2008.pdf |
| Alternate Webpage(s) | http://www.mycaps.info/uploads/SGF2008-146-2008.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
