InformationValue (version 1.2.3)

plotROC: plotROC

Description

Plot the Receiver Operating Characteristics(ROC) Curve based on ggplot2

Usage

plotROC(actuals, predictedScores, Show.labels = F, returnSensitivityMat = F)

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.

Show.labels

Whether the probability scores should be printed at change points?. Defaults to False.

returnSensitivityMat

Whether the sensitivity matrix (a dataframe) should be returned. Defaults to FALSE.

Value

Plots the ROC curve

Details

For a given actuals and predicted probability scores, A ROC curve is plotted using the ggplot2 framework along the the area under the curve.

Examples

data('ActualsAndScores')
plotROC(actuals=ActualsAndScores$Actuals, predictedScores=ActualsAndScores$PredictedScores)