mdae: Median Absolute Error

In Metrics: Evaluation Metrics for Machine Learning

Description

mdae computes the median absolute difference between two numeric vectors.

Usage

mdae(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

mae 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)
mdae(actual, predicted)

Example output

[1] 0.15

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