MLmetrics (version 1.0.0)

RMSLE: Root Mean Squared Logarithmic Error Loss

Description

Compute the root mean squared logarithmic error regression loss.

Usage

RMSLE(y_true, y_pred)

Arguments

y_true

Ground truth (correct) target values vector

y_pred

Estimated target values vector

Value

• Root Mean Squared Logarithmic Error Loss

Examples

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