Skip to main content
  • 296 Accesses

Abstract

The information provided in Chapters 1 through 10 should be sufficient to provide an understanding of the processes involved in the construction and application of predictive models of consumer behaviour. In this chapter three further topics are discussed. The first considers model construction and validation when only small samples are available. The second topic looks at alternative methods of assessing model performance, which are particularly useful when two competing models are being compared. The third and final topic examines multi-model systems, sometimes referred to as ensembles or fusion systems. A multi-model system is when several different models are constructed to predict a single behaviour. The predictions made by each model are then combined together in some way to deliver a better overall prediction than that generated by any single model on its own.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Authors

Copyright information

© 2010 Steven Finlay

About this chapter

Cite this chapter

Finlay, S. (2010). Further Topics. In: Credit Scoring, Response Modelling and Insurance Rating. Palgrave Macmillan, London. https://doi.org/10.1057/9780230298989_11

Download citation

Publish with us

Policies and ethics