विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| यूडेंस जे सांख्यिकी× | संतुलित सटीकता (Balanced Accuracy)× | |
|---|---|---|
| क्षेत्र | मॉडल मूल्यांकन | मॉडल मूल्यांकन |
| परिवार | MCDM | MCDM |
| उद्भव वर्ष≠ | 1950 | 2010 |
| प्रवर्तक≠ | W. J. Youden | Brodersen, Ong, Stephan, and Buhmann |
| प्रकार | Evaluation metric | Evaluation metric |
| मौलिक स्रोत≠ | Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35. DOI ↗ | Brodersen, K. H., Ong, C. S., Stephan, K. E., & Buhmann, J. M. (2010). The balanced accuracy and its posterior distribution. 20th International Conference on Pattern Recognition (ICPR), 3121-3124. DOI ↗ |
| उपनाम | Youden Index, Sensitivity + Specificity - 1 | Average Recall, Equal-weight Average Sensitivity |
| संबंधित≠ | 3 | 5 |
| सारांश≠ | Youdens J statistic, also called the Youden index, measures the maximum difference between the true positive rate and false positive rate across different classification thresholds. It is useful for selecting optimal cutoff points in diagnostic testing. | Balanced accuracy is the average of recall values computed for each class separately. It corrects for class imbalance by giving equal weight to the performance on each class, regardless of class frequency in the dataset. |
| ScholarGateडेटासेट ↗ |
|
|