mse: Mean Square Error

Description Usage Arguments Examples

View source: R/mse.R

Description

Calculates the mean square error

Usage

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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

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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.