Table 23 The performance for RF classification algorithm for the first situation used the text files with Preprocessing 1.
From: Open source Arabic research paper dataset for natural language processing
Class label | Precision | Recall | F1-score | Accuracy |
|---|---|---|---|---|
0: Agricultural | 0.97 | 0.97 | 0.97 | 0.97 |
1: Arabic | 0.96 | 0.97 | 0.96 | 0.97 |
2: Art | 1.00 | 0.96 | 0.98 | 0.97 |
3: Business | 0.96 | 0.98 | 0.97 | 0.97 |
4: Education | 0.97 | 0.97 | 0.97 | 0.97 |
5: Law | 0.99 | 0.99 | 0.99 | 0.97 |
6: Religion | 0.97 | 0.97 | 0.97 | 0.97 |
