Continuous predictive modeling - A comparative analysis

Nissan Levin, Jacob Zahavi

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

We evaluate the performance of several predictive models to analyze continuous response vis-à-vis the performance of a discrete-choice logistic regression model. The models were evaluated based on three measures - profitability analysis, goodness-of-fit criteria, and prediction accuracy. The evaluation was conducted on a real application involving an home equity loan campaign in the banking industry. The implications of the results for decision making are also discussed.

Original languageEnglish
Pages (from-to)5-22
Number of pages18
JournalJournal of Interactive Marketing
Volume12
Issue number2
DOIs
StatePublished - 1998

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