विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| संतुलित सटीकता (Balanced Accuracy)× | मैट्यूज़ सहसंबंध गुणांक (Matthews Correlation Coefficient)× | |
|---|---|---|
| क्षेत्र | मॉडल मूल्यांकन | मॉडल मूल्यांकन |
| परिवार | MCDM | MCDM |
| उद्भव वर्ष≠ | 2010 | 1975 |
| प्रवर्तक≠ | Brodersen, Ong, Stephan, and Buhmann | Brian W. Matthews |
| प्रकार | Evaluation metric | Evaluation metric |
| मौलिक स्रोत≠ | 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 ↗ | Matthews, B. W. (1975). Comparison of predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta (BBA)-Protein Structure, 405(2), 442-451. DOI ↗ |
| उपनाम | Average Recall, Equal-weight Average Sensitivity | Phi Coefficient, Binary Classification Correlation |
| संबंधित | 5 | 5 |
| सारांश≠ | 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. | The Matthews Correlation Coefficient (MCC) is a correlation measure between predicted and actual binary classifications. It ranges from -1 to 1 and is considered one of the most reliable single-score metrics for evaluating binary classifiers, especially on imbalanced datasets. |
| ScholarGateडेटासेट ↗ |
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