MLmetrics (version 1.1.1)

RMSLE: Root Mean Squared Logarithmic Error Loss

Description

Compute the root mean squared logarithmic error regression loss.

Usage

RMSLE(y_pred, y_true)

Value

Root Mean Squared Logarithmic Error Loss

Arguments

y_pred

Estimated target values vector

y_true

Ground truth (correct) target values vector

Examples

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

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