Predictive Modelling of Undergraduate Student Intake - aair

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Model refinement • Preferences as observations is bad • Outcome of each preference is not independent • Each applicant as an observation • Group information from preferences together th • Create additional variables • Often datasets require modifying in some way AAIR Forum 2008 22 Anatoli Lightfoot – ANU
Reliable models • Simple models are usually better models • Modelling is not an exact science • But the theory behind it is! • Many different models are possible • All of them may produce acceptable results • A model should make intuitive sense • If it doesn’t, something is probably wrong with it! AAIR Forum 2008 23 Anatoli Lightfoot – ANU
Page 1 and 2: Predictive Modelling of Undergradua
Page 3 and 4: Why is this important? • Load man
Page 5 and 6: Things this presentation does not c
Page 7 and 8: Regression • Relationship between
Page 9 and 10: The regression equation - example
Page 11 and 12: The regression equation • The ε
Page 13 and 14: Transformations • The variables u
Page 15 and 16: Predictions • Model is fit on obs
Page 17 and 18: Applications of regression • Many
Page 19 and 20: Applications of regression • Conv
Page 21: Model refinement • Iterative proc
Page 25 and 26: Detailed example - acceptance rates
Page 27 and 28: Detailed example - acceptance rates

Predictive Modelling of Undergraduate Student Intake - aair

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