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 …
The difference between MSE and MAPE - Cross Validated
Apr 15, 2016 · The difference between MSE and MAPE Ask Question Asked 14 years, 4 months ago Modified 8 years, 7 months ago
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 …
machine learning - Best way to optimize MAPE - Cross Validated
May 22, 2016 · Best way to optimize MAPE Ask Question Asked 9 years, 5 months ago Modified 9 years, 5 months ago
MAPE vs R-squared in regression models - Cross Validated
Feb 8, 2018 · MAPE vs R-squared in regression models Ask Question Asked 7 years, 8 months ago Modified 7 years, 4 months ago
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 …
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 …
Is this the correct place to use MAPE as a loss function?
Jun 15, 2020 · What does the MAPE, the MSE or any other PFEM do? It evaluates how close our estimate for the target functional gets to the actual functional. The MSE is minimized in …
Mean Absolute percentage error getting infinity?
Jun 24, 2020 · MAPE doesn't make sense when y_true can be zero, because division by zero is not defined. You'll have to use a different measurement. Excluding values where y_true is zero …
time series - Is MAPE a good error measurement statistic? And …
May 19, 2017 · I have a time series that deals with rainfall. It is a period of 10 years (daily resolution), and covers climate variables. I'm going to feed the data into an Artificial Neural …