Table 5. Experiment results of GloVe and OHE embedding models with deep learning algorithms for independent dataset.
The best accuracy percentages are represented in bold letters.
| MODELS | ACC | SEN | SPE | MCC | AUC |
|---|---|---|---|---|---|
| GL+CNN | 82.81 | 90.90 | 74.19 | 66.24 | 82.55 |
| GL+LSTM | 84.37 | 79.69 | 88.57 | 72.59 | 84.87 |
| GL+BiLSTM | 85.93 | 88.92 | 93.54 | 72.87 | 86.16 |
| OHE+CNN | 75.16 | 85.23 | 82.54 | 77.08 | 84.19 |
| OHE+LSTM | 57.81 | 58.36 | 67.46 | 51.17 | 60.09 |
| OHE+BiLSTM | 82.81 | 86.13 | 84.74 | 78.09 | 82.35 |