mae: Mean Absolute Error

In Metrics: Evaluation Metrics for Machine Learning

Description

mae computes the average absolute difference between two numeric vectors.

Usage

mae(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

mdae mape

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)
mae(actual, predicted)

Example output

[1] 0.25

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