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- W2050059326 abstract "Purpose – This paper aims to focus on different approaches to variable pre-selection for building net score models (also known as uplift modelling or incremental response modelling). The application of these models supports the identification of customers whose response can be traced back to be an effect of the campaign under consideration. Design/methodology/approach – First, a net scoring methodology based on decision trees is presented. Then, derived from research contributions on this subject and analytics performed on real data from the financial sector, different approaches of variable pre-selection are discussed and compared numerically. Findings – Net-χ2 and net information value as well as the rank lift impact correlation for interval variables would be preferred when performing variable pre-selection for net score models. Simulations showed that the results were relatively stable with respect to the number of cross-validation samples. Practical implications – Variable pre-selection is required s..." @default.
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- W2050059326 date "2013-10-14" @default.
- W2050059326 modified "2023-09-22" @default.
- W2050059326 title "Methods of variable pre-selection for net score modeling" @default.
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- W2050059326 doi "https://doi.org/10.1108/jrim-03-2013-0017" @default.
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