Table 8. Experiment results of FastText Embedding model including various N-grams with deep learning algorithms for ACPs250 dataset.
The best accuracy percentages are represented in bold letters.
| MODELS | ACC | SEN | SPE | MCC | AUC |
|---|---|---|---|---|---|
| FT(2)+CNN | 88.99 | 86.27 | 89.75 | 77.63 | 93.51 |
| FT(3)+CNN | 83.99 | 80.58 | 87.42 | 67.29 | 90.20 |
| FT(4)+CNN | 57.99 | 55.79 | 59.83 | 15.74 | 60.29 |
| FT(2)+LSTM | 72.00 | 65.22 | 78.13 | 40.85 | 76.68 |
| FT(3)+LSTM | 75.99 | 70.34 | 82.49 | 49.32 | 82.17 |
| FT(4)+LSTM | 60.22 | 55.79 | 59.83 | 15.74 | 60.29 |
| FT(2)+BiLSTM | 82.99 | 79.68 | 86.34 | 70.01 | 90.01 |
| FT(3)+BiLSTM | 92.50 | 96.29 | 82.60 | 80.27 | 89.45 |
| FT(4)+BiLSTM | 66.15 | 55.79 | 59.83 | 15.74 | 60.29 |