R: Evaluation Metrics for Customer Scoring Models Depending on Binary Classifiers

# Evaluation Metrics for Customer Scoring Models Depending on Binary Classifiers

## Documentation for package ‘CustomerScoringMetrics’ version 1.0.0

- DESCRIPTION file.

## Help Pages

checkDepVector | Perform check on the true class label vector
confMatrixMetrics | Obtain several metrics based on the confusion matrix
cumGainsChart | Plot a cumulative gains chart
cumGainsTable | Calculates cumulative gains table
cutoffSensitivityPlot | Plot a sensitivity plot for cutoff values
dynAccuracy | Calculate accuracy
dynConfMatrix | Calculate a confusion matrix
expMisclassCost | Calculate expected misclassification cost
liftChart | Generate a lift chart
liftIndex | Calculate lift index
liftTable | Calculate lift table
misclassCost | Calculate misclassification cost
response | response data
topDecileLift | Calculate top-decile lift