Describe the metrics use cases, and any relevant references.
MFE measures the average difference between predicted and actual values. It captures whether the model systematically over-predicts or under-predicts.
Additional context
FYI, MFE is different ni the sense that it specifically measures the bias in forecasts, rather than the overall accuracy or precision.
Metric's name Mean Forecast Error
Metric's category Time Series
Metrics formula
Describe the metrics use cases, and any relevant references. MFE measures the average difference between predicted and actual values. It captures whether the model systematically over-predicts or under-predicts.
Additional context FYI, MFE is different ni the sense that it specifically measures the bias in forecasts, rather than the overall accuracy or precision.