Calculates the GINI coefficient for a binary classifcation model
gini(...)# S3 method for default gini(actual, predicted, ...)# S3 method for glm gini(modelObject, ...)# S3 method for randomForest gini(modelObject, ...)# S3 method for glmerMod gini(modelObject, ...)# S3 method for gbm gini(modelObject, ...)# S3 method for rpart gini(modelObject, ...)
# S3 method for default gini(actual, predicted, ...)
# S3 method for glm gini(modelObject, ...)
# S3 method for randomForest gini(modelObject, ...)
# S3 method for glmerMod gini(modelObject, ...)
# S3 method for gbm gini(modelObject, ...)
# S3 method for rpart gini(modelObject, ...)
additional parameters to be passed the the s3 methods
A vector of the labels. Can be numeric, character, or factor
numeric, character, or factor
A vector of predicted values
the model object. Currently supported glm, randomForest, glmerMod, gbm
glm, randomForest, glmerMod, gbm
# NOT RUN { 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) # }
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