gini {ModelMetrics} | R Documentation |
GINI Coefficient
Description
Calculates the GINI coefficient for a binary classifcation model
Usage
gini(...)
## Default S3 method:
gini(actual, predicted, ...)
## S3 method for class 'glm'
gini(modelObject, ...)
## S3 method for class 'randomForest'
gini(modelObject, ...)
## S3 method for class 'glmerMod'
gini(modelObject, ...)
## S3 method for class 'gbm'
gini(modelObject, ...)
## S3 method for class 'rpart'
gini(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')
gini(testDF$y, Preds)
# using s3 method for glm
gini(glmModel)
[Package ModelMetrics version 1.2.2.2 Index]