lift: Model Lift Curves

In MachineShop: Machine Learning Models and Tools

Model Lift Curves

Description

Calculate lift curves from observed and predicted responses.

Usage

lift(x, y = NULL, weights = NULL, na.rm = TRUE, ...)

Arguments

x	observed responses or resample result containing observed and predicted responses.
y	predicted responses if not contained in x.
weights	numeric vector of non-negative case weights for the observed x responses [default: equal weights].
na.rm	logical indicating whether to remove observed or predicted responses that are NA when calculating metrics.
...	arguments passed to other methods.

Value

LiftCurve class object that inherits from PerformanceCurve.

See Also

c, plot, summary

Examples

## Requires prior installation of suggested package gbm to run

data(Pima.tr, package = "MASS")

res <- resample(type ~ ., data = Pima.tr, model = GBMModel)
lf <- lift(res)
plot(lf)

MachineShop documentation built on Sept. 11, 2024, 6:28 p.m.