smape

SMAPE is computed as \(mean(abs(forecast - validation) / ((abs(forecast) + abs(validation)) / 2))\).

Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association
rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD),
and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic
fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar,
Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.

Michal Burda

Linguistic Fuzzy Logic

smape function

<dl><dt>forecast</dt>
<dd>A numeric vector of forecasted values</dd>
<dt>validation</dt>
<dd>A numeric vector of actual (real) values</dd></dl>

Arguments

Author

Compute Symmetric Mean Absolute Percentage Error (SMAPE) — smape

<dl>

<dt>forecast</dt>
<dd>A numeric vector of forecasted values</dd>


<dt>validation</dt>
<dd>A numeric vector of actual (real) values</dd>

</dl>

smape: Compute Symmetric Mean Absolute Percentage Error (SMAPE)

Description

Usage

Value

Arguments

Author

See Also