পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Youdens J Statistic× | ভারসাম্যপূর্ণ নির্ভুলতা (Balanced Accuracy)× | নির্দিষ্টতা (Specificity)× | |
|---|---|---|---|
| ক্ষেত্র | মডেল মূল্যায়ন | মডেল মূল্যায়ন | মডেল মূল্যায়ন |
| পরিবার | MCDM | MCDM | MCDM |
| উদ্ভবের বছর≠ | 1950 | 2010 | 20th century |
| প্রবর্তক≠ | W. J. Youden | Brodersen, Ong, Stephan, and Buhmann | Historical statistical foundations |
| ধরন | Evaluation metric | Evaluation metric | Evaluation metric |
| মৌলিক উৎস≠ | 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 ↗ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ |
| অপর নাম | Youden Index, Sensitivity + Specificity - 1 | Average Recall, Equal-weight Average Sensitivity | True Negative Rate, TNR |
| সম্পর্কিত≠ | 3 | 5 | 5 |
| সারসংক্ষেপ≠ | 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. | Specificity measures the proportion of actual negative cases that were correctly identified as negative by the classifier. It answers the question: 'Of all the cases that were truly negative, how many did we correctly reject?' Specificity is complementary to recall and is essential when false positives are costly. |
| ScholarGateডেটাসেট ↗ |
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