Comparaison de la prédictivité d'un réseau de neurones à rétropropagation avec celles des méthodes de régression linéaire, logistique et AID pour le calcul des scores en marketing direct

Pierre Desmet (pierre.desmet@dauphine.fr)

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Abstract: In comparison with other statistical methods (MCO, logistic regression, disciminant analysis, AID), the advantages of a neural network with retropropagation are numerous and well known (non linear effects, distribution free variables, low sensibility to outlyers or missing variables). However, implementation and efficiency have not yet received a strong interest. The paper reviews comparative analyses and presents the results obtained in predicting a behavior in Fund raising.

Keywords: scoring; réseau de neurones; logistique; prédictivité; collecte de fonds (search for similar items in EconPapers)
Date: 1996-01-25
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Published in Recherche et Applications en Marketing (French Edition), 1996, 11 (2), pp.17-27

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00143454

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