rmse: Root Mean Squared Error

In Metrics: Evaluation Metrics for Machine Learning

Description

rmse computes the root mean squared error between two numeric vectors

Usage

rmse(actual, predicted)

Arguments

actual	The ground truth numeric vector.
predicted	The predicted numeric vector, where each element in the vector is a prediction for the corresponding element in actual.

See Also

mse

Examples

actual <- c(1.1, 1.9, 3.0, 4.4, 5.0, 5.6)
predicted <- c(0.9, 1.8, 2.5, 4.5, 5.0, 6.2)
rmse(actual, predicted)

Example output

[1] 0.3341656

Metrics documentation built on May 1, 2019, 10:11 p.m.