Table 3 Comprehensive evaluation metrics across datasets.
From: Hybrid optimization driven fake news detection using reinforced transformer models
Dataset | Model | Precision | Recall | F1-Score | Specificity |
---|---|---|---|---|---|
DGM4 | CNN + LSTM | 0.849 | 0.848 | 0.848 | 0.862 |
 | ImageBind | 0.842 | 0.839 | 0.840 | 0.851 |
 | PandaGPT | 0.837 | 0.832 | 0.834 | 0.846 |
 | Proposed | 0.867 | 0.864 | 0.865 | 0.879 |
Fakeddit | CNN + LSTM | 0.989 | 0.989 | 0.989 | 0.982 |
 | ImageBind | 0.872 | 0.865 | 0.868 | 0.874 |
 | PandaGPT | 0.869 | 0.863 | 0.866 | 0.871 |
 | Proposed | 0.991 | 0.990 | 0.990 | 0.987 |