Two house-price models are scored on the same validation houses. Errors are measured in thousands of dollars.
| model | MSE | MAE |
|---|---|---|
| P | ||
| Q |
Both were trained with MSE, so on the number they were optimised for, they are tied.
What do these numbers tell you about how each model's errors are spread across the houses?
Select all that apply.