ModelMetrics (version 1.2.2.2)

ce: Classification error

Description

Calculates the classification error

Usage

ce(...)
# S3 method for default
ce(actual, predicted, ...)
# S3 method for lm
ce(modelObject, ...)
# S3 method for glm
ce(modelObject, ...)
# S3 method for randomForest
ce(modelObject, ...)
# S3 method for glmerMod
ce(modelObject, ...)
# S3 method for gbm
ce(modelObject, ...)
# S3 method for rpart
ce(modelObject, ...)

Arguments

…

additional parameters to be passed the the s3 methods

actual

A vector of the labels

predicted

A vector of predicted values

modelObject

the model object. Currently supported lm, glm, randomForest, glmerMod, gbm, rpart