विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| आर-स्क्वेयर्ड (आर²)× | माध्य निरपेक्ष त्रुटि (MAE)× | |
|---|---|---|
| क्षेत्र | मॉडल मूल्यांकन | मॉडल मूल्यांकन |
| परिवार | MCDM | MCDM |
| उद्भव वर्ष≠ | 1896 | 1799 |
| प्रवर्तक≠ | Karl Pearson | Pierre-Simon Laplace |
| प्रकार≠ | Goodness-of-fit metric | Robust distance-based metric |
| मौलिक स्रोत≠ | Pearson, K. (1896). Mathematical contributions to the theory of evolution. Philosophical Transactions of the Royal Society A, 187, 253-318. link ↗ | Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat. link ↗ |
| उपनाम | R², coefficient of determination, r2 score | MAE, L1 error, mean absolute deviation |
| संबंधित≠ | 5 | 3 |
| सारांश≠ | The coefficient of determination, denoted R², measures the proportion of variance in the dependent variable explained by the independent variables in a regression model. Introduced by Karl Pearson in the late 19th century, R² is one of the most widely used metrics for assessing how well a model fits observed data. | 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. |
| ScholarGateडेटासेट ↗ |
|
|