Porovnať metódy
Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Citlivosť (Recall)× | Presnosť× | |
|---|---|---|
| Odbor | Hodnotenie modelov | Hodnotenie modelov |
| Rodina | MCDM | MCDM |
| Rok vzniku | 20th century | 20th century |
| Tvorca | Historical statistical foundations | Historical statistical foundations |
| Typ | Evaluation metric | Evaluation metric |
| Pôvodný zdroj | 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 ↗ |
| Ďalšie názvy≠ | Sensitivity, True Positive Rate, TPR | Positive Predictive Value, PPV |
| Príbuzné | 5 | 5 |
| Zhrnutie≠ | 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. | 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. |
| ScholarGateDátová sada ↗ |
|
|