Table 6. Experimental results for machine learning classifiers using TF-IDF features.
| Model | Accuracy | Class | Precision | Recall | F1 score |
|---|---|---|---|---|---|
| RF | 0.89 | Sarcasm | 0.89 | 0.89 | 0.89 |
| Non-sarcasm | 0.89 | 0.89 | 0.89 | ||
| Macro Avg | 0.89 | 0.89 | 0.89 | ||
| ETC | 0.88 | Sarcasm | 0.89 | 0.89 | 0.89 |
| Non-sarcasm | 0.89 | 0.88 | 0.88 | ||
| Macro Avg | 0.89 | 0.89 | 0.89 | ||
| SVC | 0.90 | Sarcasm | 0.90 | 0.90 | 0.90 |
| Non-sarcasm | 0.90 | 0.90 | 0.90 | ||
| Macro Avg | 0.90 | 0.90 | 0.90 | ||
| DT | 0.88 | Sarcasm | 0.88 | 0.88 | 0.88 |
| Non-sarcasm | 0.88 | 0.88 | 0.88 | ||
| Macro Avg | 0.88 | 0.88 | 0.88 |