Cílová skupina
Tato část není lokalizována
Modelers, analysts, and statisticians who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance, and telecommunications industriesStruktura kurzu
Tato část není lokalizována
Predictive Modeling
- Business applications.
- Analytical challenges.
Fitting the Model
- Parameter estimation.
- Adjustments for oversampling.
Preparing the Input Variables
- Missing values.
- Categorical inputs.
- Variable clustering.
- Variable screening.
- Subset selection.
Classifier Performance
- ROC curves and lift charts.
- Optimal cutoffs.
- K-S statistic.
- c
- Profit.
- Evaluating a series of models.
