Benchmarks

Mean Absolute Error (MAE)

\begin{equation} MAE = \frac{1}{N}\sum_{i=1}^N |y_i - \hat{y}_i| \end{equation}

Mean Absolute Percentile Error (MAPE)

\begin{equation} MAPE = \frac{1}{N}\sum_{i=1}^N|\frac{y_i - \hat{y}_i}{y_i}| \end{equation}

Root Mean Square Error (RMSE)

\begin{equation} RMSE = (\frac{1}{N} \sum_{i=1}^N {|y_i - \hat{y}_i|}^2 )^{\frac{1}{2}} \end{equation}