RMSPE: Root Mean Square Percentage Error Loss

In MLmetrics: Machine Learning Evaluation Metrics

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)

Example output

Attaching package: 'MLmetrics'

The following object is masked from 'package:base':

    Recall

[1] 0.4577901

MLmetrics documentation built on May 2, 2019, 11:28 a.m.