Using IBM SPSS Modeler, this webinar will demonstrate methods to improve the accuracy of predictive models. It should be noted that most of these approaches are not unique to the SPSS Modeler application and may have relevance for people working with alternative software packages. The session will explore the following six approaches to increasing predictive accuracy:
- Bootstrap aggregation
- Boosted models
- Feature engineering
- Ensemble models
- Meta-modelling
- Split-method models
Who should view this webinar?
- Anyone who is building predictive models in any tool and who’s interested in learning more about how to improve their accuracy
Watch a recording of this webinar or download the event slides here.
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