RMSPE: Root Mean Square Percentage Error Loss

View source: R/Regression.R

RMSPER Documentation

Root Mean Square Percentage Error Loss

Description

Compute the root mean squared percentage error regression loss.

Usage

RMSPE(y_pred, y_true)

Arguments

y_pred

Estimated target values vector

y_true

Ground truth (correct) target values vector

Value

Root Mean Squared Percentage Error Loss

Examples

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

MLmetrics documentation built on May 29, 2024, 9:34 a.m.

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