R: Root-Mean Square Error

rmse {ModelMetrics} | R Documentation

## Root-Mean Square Error

### Description

Calculates the root mean square error

### Usage

    rmse(...)

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

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

    ## S3 method for class 'glm'
    rmse(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`

### Examples

    data(testDF)
    glmModel <- glm(y ~ ., data = testDF, family="binomial")
    Preds <- predict(glmModel, type = 'response')

    rmse(testDF$y, Preds)

[Package ModelMetrics version 1.2.2.2 Index]