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• Finally, you should not use the MAPE, because by definition, the MAPE is a Mean APE... and nobody likes Mean APEs.

  

  Image credit: Ivan Svetunkov. Used with kind permission. Please attribute to him if you reuse it.

• Finally, you should not use the MAPE, because by definition, the MAPE is a Mean APE... and nobody likes Mean APEs.

  

  Image credit: Ivan Svetunkov. Used with kind permission. Please attribute to him if you reuse it.

• Finally, you should not use the MAPE, because by definition, the MAPE is a Mean APE... and nobody likes Mean APEs.

  

  Image credit: Ivan Svetunkov. Used with kind permission. Please attribute to him if you reuse it.

Related CrossValidated questions

• The difference between MSE and MAPE
• Best way to optimize MAPE
• Mean absolute percentage error with respect to predictions (on using the actual in the denominator)
• Minimizing symmetric mean absolute percentage error (SMAPE) (on using the average of the forecast and the actual in the denominator)
• Optimal prediction under squared percentage loss (on using the squared instead of the absolute percentage error)
• MAPE vs R-squared in regression models
• Why use a certain measure of forecast error (e.g. MAD) as opposed to another (e.g. MSE)?
• Does it make sense to increment by 1 the numerator and denominator in the MAPE to avoid division by 0?

Related CrossValidated and Data Science questions

• The difference between MSE and MAPE
• Best way to optimize MAPE
• Mean absolute percentage error with respect to predictions (on using the actual in the denominator)
• Minimizing symmetric mean absolute percentage error (SMAPE) (on using the average of the forecast and the actual in the denominator)
• Optimal prediction under squared percentage loss (on using the squared instead of the absolute percentage error)
• MAPE vs R-squared in regression models
• Why use a certain measure of forecast error (e.g. MAD) as opposed to another (e.g. MSE)?
• Does it make sense to increment by 1 the numerator and denominator in the MAPE to avoid division by 0?
• MAD vs RMSE vs MAE vs MSLE vs R²: When to use which?