ModelMetrics (version 1.2.2.2)

mse: Mean Square Error

Description

Calculates the mean square error

Usage

mse(...)
# S3 method for default
mse(actual, predicted, ...)
# S3 method for lm
mse(modelObject, ...)
# S3 method for glm
mse(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')

mse(testDF$y, Preds)

# }