手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| F1スコア× | 精度（Precision）× | |
|---|---|---|
| 分野 | モデル評価 | モデル評価 |
| 系統 | MCDM | MCDM |
| 提唱年≠ | 1979 | 20th century |
| 提唱者≠ | C. J. van Rijsbergen | Historical statistical foundations |
| 種類 | Evaluation metric | Evaluation metric |
| 原典≠ | van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ |
| 別名 | F-measure, Harmonic Mean | Positive Predictive Value, PPV |
| 関連 | 5 | 5 |
| 概要≠ | The F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important. | Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly. |
| ScholarGateデータセット ↗ |
|
|