auc {ModelMetrics} | R Documentation |
Area Under the Curve
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 |
predicted |
A vector of predicted values |
modelObject |
the model object. Currently supported |
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)
[Package ModelMetrics version 1.2.2.2 Index]