auc: Area Under the Curve

In JackStat/ModelMetrics: Rapid Calculation of Model Metrics

Description

Calculates the area under the curve for a binary classifcation model

Usage

auc(...)

## Default S3 method:
auc(actual, predicted, ...)

## S3 method for class 'glm'
auc(modelObject, ...)

## S3 method for class 'randomForest'
auc(modelObject, ...)

## S3 method for class 'glmerMod'
auc(modelObject, ...)

## S3 method for class 'gbm'
auc(modelObject, ...)

## S3 method for class 'rpart'
auc(modelObject, ...)

Arguments

...	additional parameters to be passed the the s3 methods
actual	A vector of the labels. Can be numeric, character, or factor
predicted	A vector of predicted values
modelObject	the model object. Currently supported glm, randomForest, glmerMod, gbm

Examples

data(testDF)
glmModel <- glm(y ~ ., data = testDF, family="binomial")
Preds <- predict(glmModel, type = 'response')

auc(testDF$y, Preds)
# using s3 method for glm
auc(glmModel)

JackStat/ModelMetrics documentation built on July 6, 2021, 9:48 a.m.