Table 8.
Performance measures of the text + image models on fakeddit dataset
| Text+Image model | Fusion method | Validation | Test | Precision | Recall | F1-score |
|---|---|---|---|---|---|---|
| accuracy | accuracy | |||||
| BERT+Xception | Maximum | 91.61% | 91.87% | 93.43% | 93.07% | 93.25% |
| BERT+Xception | Concatenate | 91.67% | 91.88% | 93.31% | 93.22% | 93.26% |
| (BERT+Dense)+Xception | Maximum | 91.68% | 91.94% | 93.76% | 92.83% | 93.29% |
| (BERT+Dense)+Xception | Concatenate | 91.70% | 91.87% | 93.39% | 93.29% | 93.25% |
Bold indicates models with better performance measures (here validation and Test accuracy)