CRAN/E | CustomerScoringMetrics

CustomerScoringMetrics

Evaluation Metrics for Customer Scoring Models Depending on Binary Classifiers

Installation

About

Functions for evaluating and visualizing predictive model performance (specifically: binary classifiers) in the field of customer scoring. These metrics include lift, lift index, gain percentage, top-decile lift, F1-score, expected misclassification cost and absolute misclassification cost. See Berry & Linoff (2004, ISBN:0-471-47064-3), Witten and Frank (2005, 0-12-088407-0) and Blattberg, Kim & Neslin (2008, ISBN:978–0–387–72578–9) for details. Visualization functions are included for lift charts and gain percentage charts. All metrics that require class predictions offer the possibility to dynamically determine cutoff values for transforming real-valued probability predictions into class predictions.

Key Metrics

Version 1.0.0
Published 2018-04-06 2206 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks CustomerScoringMetrics results

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Maintainer

Maintainer

Koen W. De Bock

kdebock@audencia.com

Authors

Koen W. De Bock

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64