Chapter 11: Measure of Model Performance
Preparation for the Modeling Phase
Honest Assessment of a Classifier
PROC SURVEYSELECT for Creating Training and Validation Data Sets
Recommendations for the Model Preparation Stage
Assessing Classifier Performance
Measures of Performance Using the Classification Table
Measure of Performance Using the Receiver-Operator-Characteristic (ROC) Curve
Model Comparison Using the ROC and ROCCONTRAST Statements
Measures of Performance Using the Gains and Lift Charts
Adjustment to Performance Estimates When Oversampling Rare Events
The PEVENT Option for Defining Prior Probabilities
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