What Is Mean Absolute Percentage Error (MAPE) In Statistics and Machine Learning?

Mean Absolute Percentage Error (MAPE)

Mean Absolute Percentage Error is one of the most common metrics of model prediction accuracy and the percentage equivalent of MAE. MAPE measures the average magnitude of error produced by a model, or how far off predictions are on average. See MAE for considerations when using this metric.