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Auto Model Regression Results on Absolute Error and Squared Error
Learner III
I have inquiry on absolute error and squared error. Does this same with mean absolute error (MAE) and mean squared error (MSE)? I did read the documentation but I'm still slightly confuse.
Another question is does the relative error is same as important for regression?
Would be great if someone can explain these to me.
Thank you
Another question is does the relative error is same as important for regression?
Would be great if someone can explain these to me.
Thank you
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Best Answer
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rjones13
Member Posts: 204 
Unicorn
Hi @Nayli,
The MAE is the mean error for each of the datapoints in the test dataset. MSE is the mean of the square of these errors.
Relative error is the average of the deviations divided by the actual value. I believe this is the formula: (1 / N) Σ_n (|Y_n - f(X_n)| / |Y_n|)
Best,
Roland1
