mse {ModelMetrics}

Mean Square Error

Description

Calculates the mean square error

Usage

mse(...)

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

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

## S3 method for class '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

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

mse(testDF$y, Preds)