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tools4uplift (version 0.1-0)

QiniArea: Qini coefficient

Description

Computes the area under the Qini curve.

Usage

QiniArea(x)

Arguments

x

a table that must be the output of QiniTable function.

Value

the Qini coefficient

References

Radcliffe, N. and Surry, P. (2011). Real-World Uplift Modelling with Significance-Based Uplift Trees. Portrait Technical Report, TR-2011-1.

Radcliffe, N. (2007). Using control groups to target on predicted lift: Building and assessing uplift models. Direct Marketing Analytics Journal, An Annual Publication from the Direct Marketing Association Analytics Council, pages 14-21.

See Also

QiniTable

Examples

Run this code
# NOT RUN {
library(tools4uplift)
data("SimUplift")

square1 <- SquareUplift(SimUplift, "X1", "X2", "treat", "y")

#performance of the heat map uplift estimation on the training dataset
perf <- QiniTable(data = square1, treat = "treat", 
                  outcome = "y", prediction = "Uplift_X1_X2", nb.group = 5)

QiniArea(perf)

# }

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