Timeline for Why does the MAE of my estimation improve substantially when I divide it by 10 (in a very noisy dataset)?
Current License: CC BY-SA 3.0
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| Oct 30, 2017 at 15:08 | history | edited | dan | CC BY-SA 3.0 |
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| Oct 30, 2017 at 14:30 | history | edited | dan | CC BY-SA 3.0 |
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| Oct 30, 2017 at 14:29 | comment | added | dan | It does! That's exactly the problem. My model is significantly worse than an all-zero vector when I do not divide my prediction | |
| Oct 30, 2017 at 13:35 | comment | added | meh | I wouldn't call it Jungian, but in our culture 'bigger is better', so I think it would be less confusing if you subtracted the MAE of the zero guess from the MAE of your model, so the number you presented showed the improvement of the model over the guess of 'all zero'. | |
| Oct 30, 2017 at 13:29 | history | edited | dan | CC BY-SA 3.0 |
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| Oct 30, 2017 at 13:27 | comment | added | dan | Note that it is compared to the MAE of an all-zero vector (I pointed it out but I'll edit to make it more clear) | |
| Oct 30, 2017 at 12:33 | history | edited | Richard Hardy | CC BY-SA 3.0 |
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| Oct 30, 2017 at 12:14 | comment | added | Tim | How exactly did you get those values? How MAE, that is mean of absolute values, could be negative..?! | |
| Oct 30, 2017 at 12:01 | history | asked | dan | CC BY-SA 3.0 |