MLmetrics (version 1.1.0)

MSE: Mean Square Error Loss

Description

Compute the mean squared error regression loss.

Usage

MSE(y_pred, y_true)

Arguments

y_pred

Estimated target values vector

y_true

Ground truth (correct) target values vector

Value

• Mean Square Error Loss

Examples

data(cars)
reg <- lm(log(dist) ~ log(speed), data = cars)
MSE(y_pred = exp(reg$fitted.values), y_true = cars$dist)