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| Recall (感度)× | 特異度（Specificity）× | |
|---|---|---|
| 分野 | モデル評価 | モデル評価 |
| 系統 | MCDM | MCDM |
| 提唱年 | 20th century | 20th century |
| 提唱者 | Historical statistical foundations | Historical statistical foundations |
| 種類 | Evaluation metric | Evaluation metric |
| 原典 | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ |
| 別名≠ | Sensitivity, True Positive Rate, TPR | True Negative Rate, TNR |
| 関連 | 5 | 5 |
| 概要≠ | Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly. | 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. |
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