liftChart {CustomerScoringMetrics} | R Documentation |
Visualize lift through a lift chart.
liftChart(predTest, depTest, resolution = 1/10)
predTest |
Vector with predictions (real-valued or discrete) |
depTest |
Vector with true class labels |
resolution |
Value for the determination of percentile intervals. Default 1/10 (10%). |
Koen W. De Bock, kdebock@audencia.com
Berry, M.J.A. and Linoff, G.S. (2004): "Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition". John Wiley & Sons.
Blattberg, R.C., Kim, B.D. and Neslin, S.A. (2008): "Database Marketing: Analyzing and Managing Customers". Springer.
topDecileLift
, liftIndex
, liftChart
## Load response modeling predictions
data("response")
## Apply liftChart function to visualize lift table results
liftChart(response$test[,2],response$test[,1])