ape: Absolute Percent Error

In Metrics: Evaluation Metrics for Machine Learning

Description

ape computes the elementwise absolute percent difference between two numeric vectors

Usage

ape(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.

Details

ape is calculated as (actual - predicted) / abs(actual). This means that the function will return -Inf, Inf, or NaN if actual is zero.

See Also

mape smape

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)
ape(actual, predicted)

Example output

[1] 0.18181818 0.05263158 0.16666667 0.02272727 0.00000000 0.10714286

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