{ "_id": "6a1effc9b401979e7341ab10", "Package": "CustomerScoringMetrics", "Type": "Package", "Title": "Evaluation Metrics for Customer Scoring Models Depending on\nBinary Classifiers", "Version": "1.0.0", "Author": "Koen W. De Bock", "Maintainer": "Koen W. De Bock ", "Description": "Functions for evaluating and visualizing predictive model\nperformance (specifically: binary classifiers) in the field of\ncustomer scoring. These metrics include lift, lift index, gain\npercentage, top-decile lift, F1-score, expected\nmisclassification cost and absolute misclassification cost. See\nBerry & Linoff (2004, ISBN:0-471-47064-3), Witten and Frank\n(2005, 0-12-088407-0) and Blattberg, Kim & Neslin (2008,\nISBN:978–0–387–72578–9) for details. Visualization functions\nare included for lift charts and gain percentage charts. 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