The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales.
The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales.
The R2 score is one of the performance evaluation measures for forecasting-based machine learning models.
The Spearman's rank coefficient of correlation is a non-parametric measure of rank correlation.
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Known values of ForecastingPrimaryMetrics that the service accepts.