This white paper describes the technology underlying FICO’s scorecard development platform, Scorecard module for FICO™ Model Builder. Starting out with a brief introduction to scoring and a discussion of its relationship to statistical modeling, we describe the main elements of the technology. These include score formulas and score engineering, binning, fitting objectives and fitting algorithms, characteristic selection, score calibration and score scaling, performance inference, bootstrap validation and bagging The purpose of this paper is to provide analytically oriented business users of predictive modeling tools with a description of FICO™ Model Builder’s Scorecard module (MBS). This should help readers understand MBS business value and exploit its unique modeling options to their fullest advantage.
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