A Summary of Grant Application Models

Max Kuhn and Kjell Johnson
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Max Kuhn: Pfizer Global Research and Development, Division of Nonclinical Statistics
Kjell Johnson: Arbor Analytics

Chapter Chapter 15 in Applied Predictive Modeling, 2013, pp 415-418 from Springer

Abstract: Abstract Chapters 12-14, used a variety of different philosophies and techniques to predict grant-funding success. In this chapter we compare and contrast the models' performance on a specific test set and demonstrate how to select the optimal final model.

Keywords: Final Optimal Model; Variable Importance Measures; Uncertainty Help; Sponse Code; Strong Seasonal Effect (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-6849-3_15

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DOI: 10.1007/978-1-4614-6849-3_15

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