Table 1 Results from the test dataset on the classification task
From: Deep transfer learning for visual analysis and attribution of paintings by Raphael
Precision | Recall | F1-Score | |
|---|---|---|---|
Class 0 (Raphael) | 0.98 | 0.97 | 0.97 |
Class 1 (Not Raphael) | 0.97 | 0.97 | 0.98 |
Accuracy | 0.98 | ||
Weighted Avg | 0.96 | 0.97 | 0.98 |