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 instance, so you …

12 The MAPE is a metric that can be used for regression problems : MAPE = 1 n ∑t=1n ∣∣∣At −Ft At ∣∣∣ MAPE = 1 n ∑ t = 1 n | A t F t A t | Where A A represents the actual value and F F the the …

The difference between MSE and MAPE Ask Question Asked 14 years, 1 month ago Modified 8 years, 3 months ago

MAPE vs R-squared in regression models Ask Question Asked 7 years, 5 months ago Modified 7 years, 1 month ago

I am applying different regression models (RF, Knn, etc) on some well-known datasets (bike sharing, diabetics, etc). The value of R2 is very good. From the R2 score, we can say that the …

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 Network to predict ...

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 there is some …

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 is not good …

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 use an ML …

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