Table 8.
Deep learning models: results from the test data set
Model | TN | FN | FP | TP | Accuracy | F1-score | Precision | Recall |
---|---|---|---|---|---|---|---|---|
ALBERT | 937 | 83 | 62 | 1058 | 93.22 | 93.59 | 94.46 | 92.73 |
DistilBERT | 988 | 32 | 20 | 1100 | 97.57 | 97.69 | 98.21 | 97.17 |
BERT | 988 | 32 | 13 | 1107 | 97.90 | 98.00 | 98.84 | 97.19 |
BERTweet-COVID-19 | 992 | 28 | 16 | 1104 | 97.94 | 98.05 | 98.57 | 97.53 |
CT-BERT | 993 | 27 | 11 | 1109 | 98.22 | 98.32 | 99.02 | 97.62 |
RoBERTa | 1002 | 18 | 13 | 1107 | 98.55 | 98.62 | 98.84 | 98.40 |