Table 7. Experimental results for machine learning classifiers using GloVe features.
| Model | Accuracy | Class | Precision | Recall | F1 score |
|---|---|---|---|---|---|
| RF | 0.81 | Sarcasm | 0.83 | 0.81 | 0.82 |
| Non-sarcasm | 0.78 | 0.79 | 0.78 | ||
| Macro Avg | 0.81 | 0.80 | 0.80 | ||
| ETC | 0.81 | Sarcasm | 0.81 | 0.81 | 0.81 |
| Non-sarcasm | 0.81 | 0.80 | 0.80 | ||
| Macro Avg | 0.81 | 0.81 | 0.81 | ||
| SVC | 30.76 | Sarcasm | 0.76 | 0.76 | 0.76 |
| Non-sarcasm | 0.76 | 0.76 | 0.76 | ||
| Macro Avg | 0.76 | 0.76 | 0.76 | ||
| DT | 0.68 | Sarcasm | 0.69 | 0.68 | 0.68 |
| Non-sarcasm | 0.67 | 0.68 | 0.67 | ||
| Macro Avg | 0.68 | 0.68 | 0.68 |