Improving Performance Of Memory Based Reasoning Model Using Weight of Evidence Coded Categorical Variables

Memory based Reasoning (MBR) is an empirical classification method which works by comparing cases in hand with similar examples from the past and then applying that information to the new case. MBR modeling is based on the assumptions that the input variables are numeric, orthogonal to each other, and standardized. The latter two assumptions are taken care by Principal Components’ transformation of raw variables and using the components instead of the raw variables as inputs to MBR. To satisfy

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