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- W2890230899 abstract "This paper deals with prediction in direct marketing for banks. Nowadays, direct marketing methods are used to reach potential customers as they involve reduced promotional cost. For getting maximum business from the huge customer data sets, accurate prediction of response becomes crucial. The data considered here is of a Portuguese banking institution. Input is a 20-attribute data set about bank clients while the response is to predict if the client will subscribe to term deposit or not. Comparative analysis is done between random forest and neural networks in R platform for the stated prediction problem." @default.
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- W2890230899 date "2018-09-19" @default.
- W2890230899 modified "2023-09-26" @default.
- W2890230899 title "Comparative Study of Random Forest and Neural Network for Prediction in Direct Marketing" @default.
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- W2890230899 doi "https://doi.org/10.1007/978-981-13-1822-1_37" @default.
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