CustomerScoringMetrics

cranv1.0.0

Evaluation Metrics for Customer Scoring Models Depending on Binary Classifiers. 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 Berr

License GPL (>= 2)0 versions1 maintainers0 deps88 weekly dl
https://CRAN.R-project.org/package=CustomerScoringMetrics
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Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
12/15
maturity
2/15
community
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First published · 2018-04-06 10:44:21

Last updated · 2018-04-06T09:39:01+00:00

CustomerScoringMetrics — Health Score 39/100 | DepScope