ce: Classification error

In ModelMetrics: Rapid Calculation of Model Metrics

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

ModelMetrics documentation built on March 26, 2020, 7:48 p.m.