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Predictive Modeling Using SAS Enterprise Miner 5 Exam
Please note that the Predictive Modeling Using SAS Enterprise Miner 5 Exam is not available through Prometric. You can register for this exam here.Audience
A SAS Enterprise Miner predictive modeler should have the ability to prepare data, build predictive models, assess models, score new data sets, and implement models. During this performance-based examination, candidates will use SAS Enterprise Miner to perform the examination tasks. It is essential that the SAS Enterprise Miner predictive modeler have a firm understanding and mastery of the functionalities for predictive modeling available in SAS Enterprise Miner 5. Candidates for this examination can elect to complete this examination using the SAS Enterprise Miner 5.2 or 5.3 interface.Test Content
Please note: Candidates will use SAS Enterprise Miner to perform this exam and will select the software interface they prefer to use (SAS Enterprise Miner 5.2 or 5.3).Data Preparation
- Missing values
- Initial data exploration including data visualization/measurement levels or scales/variable reduction
- Transformation/recoding/binning
- Data splitting/balancing/overfitting/oversampling
- Logistic/linear regression
- Artificial neural networks (MLP)
- Decision trees
- Variable importance/odds ratio
- Profit/loss/prior probabilities
- Comparison between models/lift chart/ROC/profit & loss
- Assessment of a single model
- Score a data set
- Model implementation