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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 · 12 The MAPE is a metric that can be used for regression problems : MAPE = 1 n n ∑ t = 1|At − Ft At | Where A represents the actual value and F the the forecast. I have to …
regression - Why getting very high values for MSE/MAE/MAPE …
Sep 25, 2021 · Why getting very high values for MSE/MAE/MAPE when R2 score is very good Ask Question Asked 3 years, 9 months ago Modified 10 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.
MAPE vs R-squared in regression models - Cross Validated
Feb 8, 2018 · MAPE vs R-squared in regression models Ask Question Asked 7 years, 4 months ago Modified 7 years 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 …
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 …
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 …
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 …
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