Mean Absolute Scaled Error1

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  MASE (Mean Absolute Scaled Error) Information MASE (Mean Absolute Scaled Error) is a metric for measuring forecast accuracy. MASE compares the accuracy of a given forecast with that of a naive forecast (e.g., a seasonal naïve or a random walk model). MASE is scale-independent, making it useful for comparing the accuracy of forecasts across different time series with different scales. The formula for MASE is: MASE = mean(|e_t|) /.. Zettelkasten/Terminology Information 2023. 4. 3.