Package 'Modelcharts'

Functions Gain Chart

Description

Creates a Gain chart.

Usage

GAIN_CHART(INPUT, Probability, cutoffs, Outcome, Event)

Arguments

INPUT	Input data
Probability	Probability values between zero and one
cutoffs	probability cutoffs(c(0.80,0.60,0.40,0.20,0)/c(0.5,0))
Outcome	outcome variable(target variable)
Event	outcome representation ("YES"/"Y"/"1")

Value

A gain chart

See Also

Modelcharts

Examples

## Not run: 
# Run it and see for yourself

## End(Not run)
data.tmp<-read.csv(system.file("ext", "testdata.csv", package="Modelcharts"))
GAIN_CHART(data.tmp,data.tmp$Probability,seq(0.95,0,-0.05),data.tmp$Outcome,"Y")

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Functions Lift Chart

Description

Creates a Lift chart.

Usage

LIFT_CHART(INPUT, Probability, cutoffs, Outcome, Event)

Arguments

INPUT	Input data
Probability	Probability values between zero and one
cutoffs	probability cutoffs(c(0.80,0.60,0.40,0.20,0)/c(0.5,0))
Outcome	outcome variable(target variable)
Event	outcome representation ("YES"/"Y"/"1")

Value

A lift chart

See Also

Modelcharts

Examples

## Not run: 
# Run it and see for yourself

## End(Not run)
data.tmp<-read.csv(system.file("ext", "testdata.csv", package="Modelcharts"))
LIFT_CHART(data.tmp,data.tmp$Probability,seq(0.95,0,-0.05),data.tmp$Outcome,"Y")

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Gain Chart and Lift Chart

Description

This Package provides two important functions for producing Gain chart and Lift chart for any classification model.

GAIN_CHART()

Creates a gain chart based on calculated probability values and actual outcome.

LIFT_CHART()

creates a lift chart based on calculated probability values and actual outcome.

See Also

GAIN_CHART, LIFT_CHART

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