Table 6 Experiment 1 with SemEval dataset
From: AraXLNet: pre-trained language model for sentiment analysis of Arabic
| Precision | Recall | F1-Score | Support | |
|---|---|---|---|---|
| 0 | 0.85 | 0.90 | 0.88 | 808 |
| 1 | 0.87 | 0.81 | 0.84 | 647 |
| Accuracy | – | – | 0.86 | 1455 |
| Macro Avg | 0.86 | 0.85 | 0.86 | 1455 |
| Weighted Avg | 0.86 | 0.86 | 0.86 | 1455 |