actual

forecast

<code>pe</code> takes actual and forecast numeric vectors and returns a
numeric vector where forecast is subtracted from the actual and
then those errors are divided by the actuals. Lastly, the
absolute value of those percent errors are taken.

A set of tools to quickly score models commonly used to data
    analysis and data science using uncommon scoring metrics. For example,
    you might want to use a weighted absolute percent error instead of
    a root mean square deviation to score that regression model.

ape: Calculate absolute percent error between actual and forecast.

Description

Usage

Arguments

Value

Examples