Learn R Programming

InformationValue (version 1.2.3)

ks_plot: ks_plot

Description

Plot the cumulative percentage of responders (ones) captured by the model

Usage

ks_plot(actuals, predictedScores)

Arguments

actuals
The actual binary flags for the response variable. It can take a numeric vector containing values of either 1 or 0, where 1 represents the 'Good' or 'Events' while 0 represents 'Bad' or 'Non-Events'.
predictedScores
The prediction probability scores for each observation. If your classification model gives the 1/0 predcitions, convert it to a numeric vector of 1's and 0's.

Value

The KS plot

Details

Plot the cumulative percentage of responders (ones) captured by the model against the expected cumulative percentage of responders at random (i.e. had there been no model). The greater the distance between the random and model cumulatives, the better is the predictive ability of the model to effectively capture the responders (ones).

Examples

Run this code
data('ActualsAndScores')
ks_plot(actuals=ActualsAndScores$Actuals, predictedScores=ActualsAndScores$PredictedScores)

Run the code above in your browser using DataLab