ModelMetrics (version 1.2.2.2)

rmse: Root-Mean Square Error

Description

Calculates the root mean square error

Usage

rmse(...)
# S3 method for default
rmse(actual, predicted, ...)
# S3 method for lm
rmse(modelObject, ...)
# S3 method for 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

# NOT RUN {
data(testDF)
glmModel <- glm(y ~ ., data = testDF, family="binomial")
Preds <- predict(glmModel, type = 'response')

rmse(testDF$y, Preds)

# }