What are the shortcomings of the Mean Absolute Percentage …
Aug 25, 2017 · The MAPE, as a percentage, only makes sense for values where divisions and ratios make sense. It doesn't make sense to calculate percentages of temperatures, for …
machine learning - Best way to optimize MAPE - Cross Validated
May 22, 2016 · Best way to optimize MAPE Ask Question Asked 9 years, 6 months ago Modified 9 years, 6 months ago
The difference between MSE and MAPE - Cross Validated
Apr 15, 2016 · in comparing forecast values and measuring best fit model, from different methods we can use MSE, MAPE and RMSE. which method has least one is better model.
forecasting - ARIMA: How to interpret MAPE? - Cross Validated
Mar 8, 2015 · I interpreted the MAPE like, "on average, the forecast if off by 14%", which sounds fine for me. But on the other side the MASE is greater than 1, which means the model is worse …
RMSE or MAPE? which one to choose for accuracy?
Dec 1, 2021 · If you truly want to find a MAPE-optimal forecast, you should also use the MAPE to fit your model. I am not aware of any off-the-shelf forecasting software that does this (if you …
MAPE vs R-squared in regression models - Cross Validated
Feb 8, 2018 · MAPE vs R-squared in regression models Ask Question Asked 7 years, 10 months ago Modified 7 years, 6 months ago
Alternative to mean absolute percentage error (MAPE)
Feb 16, 2022 · MAPE metric has problems when the actual value to be predicted is very small. In the extreme when the actual value is 0 then MAPE will be infinity (if the prediction is not …
MAPE is better but MAE is worse in regression models
Sep 28, 2020 · I am working on a regression problem to predict price of the vehicle based on its features. I have been experimenting with several trials but in one of them, MAPE (Mean …
How do I interpret mean absolute error (MAE) or mean absolute ...
Apr 29, 2020 · For example, I am predicting a score that can have value from 0 to 100. Lets assume MAPE = 10 for one case. In other case MAE = 10. How can I interpret it in layman …
time series - Is there any standard / criteria of good forecast ...
Jun 24, 2020 · I found an interesting reference about the criteria of a good forecast result based on MAPE from Lewis (1982): ...but in my case, I can't use MAPE for some dataset because …