Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Mesurë e Gabimit Mesatar Absolut të Skalëzuar (MASE)× | Mesatarja absolute e gabimit (MAE)× | |
|---|---|---|
| Fusha | Vlerësimi i modeleve | Vlerësimi i modeleve |
| Familja | MCDM | MCDM |
| Viti i origjinës≠ | 2006 | 1799 |
| Krijuesi≠ | Rob J. Hyndman and Anne B. Koehler | Pierre-Simon Laplace |
| Lloji≠ | Scale-independent baseline comparison metric | Robust distance-based metric |
| Burimi themelues≠ | Hyndman, R. J., & Koehler, A. B. (2006). Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4), 679-688. DOI ↗ | Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat. link ↗ |
| Emërtime të tjera≠ | MASE | MAE, L1 error, mean absolute deviation |
| Të lidhura≠ | 4 | 3 |
| Përmbledhja≠ | Mean Absolute Scaled Error is a scale-independent metric that measures prediction accuracy relative to a simple baseline (naive forecast). Introduced by Hyndman and Koehler (2006), MASE directly compares model performance to a reference method, overcoming limitations of MAPE and other percentage-based metrics. | Mean Absolute Error is a robust metric that measures the average absolute magnitude of prediction errors in regression models. Dating back to Pierre-Simon Laplace's work on observational errors (1799), MAE quantifies typical prediction deviation by averaging the absolute differences between observed and predicted values. |
| ScholarGateSeti i të dhënave ↗ |
|
|