ce {ModelMetrics}

Classification error

Description

Calculates the classification error

Usage

ce(...)

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

## S3 method for class 'lm'
ce(modelObject, ...)

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

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

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

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

## S3 method for class '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