SAS ENTERPRISE MINER TRAINING /FORECAST STUDIO

SAS ENTERPRISE MINER TRAINING

Data Preparation

Starting a new Enterprise Miner project
Missing values
Initial data exploration including data visualization/measurement levels or scales/variable

reduction
Transformation/recoding/binning

Predictive Models

Data splitting/balancing/overfitting/oversampling
Logistic/linear regression
Artificial neural networks (MLP)
Decision trees
Variable importance/odds ratio
Profit/loss/prior probabilities

Model Assessment

Comparison between models/lift chart/ROC/profit & loss
Assessment of a single model

Scoring and Implementation

Score a data set
Model implementation