विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| संतुलित सटीकता (Balanced Accuracy)× | कन्फ्यूजन मैट्रिक्स× | |
|---|---|---|
| क्षेत्र | मॉडल मूल्यांकन | मॉडल मूल्यांकन |
| परिवार | MCDM | MCDM |
| उद्भव वर्ष≠ | 2010 | 20th century |
| प्रवर्तक≠ | Brodersen, Ong, Stephan, and Buhmann | Statistical foundations |
| प्रकार≠ | Evaluation metric | Evaluation visualization |
| 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 ↗ | Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗ |
| उपनाम | Average Recall, Equal-weight Average Sensitivity | Error Matrix, Contingency Table |
| 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 confusion matrix is a table that displays the counts of true positives, true negatives, false positives, and false negatives. It provides a complete picture of where a classifier makes correct and incorrect predictions, enabling calculation of all other classification metrics. |
| ScholarGateडेटासेट ↗ |
|
|