השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| דיוק מאוזן× | דיוק (Precision)× | |
|---|---|---|
| תחום | הערכת מודלים | הערכת מודלים |
| משפחה | MCDM | MCDM |
| שנת המקור≠ | 2010 | 20th century |
| הוגה השיטה≠ | Brodersen, Ong, Stephan, and Buhmann | Historical statistical foundations |
| סוג | Evaluation metric | Evaluation metric |
| מקור מכונן≠ | 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 ↗ |
| כינויים | Average Recall, Equal-weight Average Sensitivity | Positive Predictive Value, PPV |
| קשורות | 5 | 5 |
| תקציר≠ | 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. | 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. |
| ScholarGateמערך נתונים ↗ |
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