mse: Mean Square Error

In ModelMetrics: Rapid Calculation of Model Metrics

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)

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