| Method | Quantity | Accuracy | Macro-Precision | Macro-Recall | Macro-F1 |
| Logistic Regression | 50,000 | 73.79 | 69.59 | 71.12 | 70.08 |
| 150,000 | 75.88 | 74.03 | 76.83 | 74.91 | |
| 450,000 | 72.45 | 68.62 | 68.59 | 68.50 | |
| SVM | 50,000 | 67.21 | 64.57 | 62.99 | 63.20 |
| 150,000 | 73.05 | 69.83 | 68.81 | 69.24 | |
| 450,000 | 71.81 | 68.55 | 70.18 | 68.96 | |
| Naive Bayes | 50,000 | 62.66 | 61.47 | 63.04 | 61.61 |
| 150,000 | 65.73 | 61.86 | 62.12 | 61.97 | |
| 450,000 | 67.83 | 65.72 | 67.32 | 66.37 | |
| Decision Tree | 50,000 | 67.37 | 63.25 | 63.97 | 63.05 |
| 150,000 | 71.15 | 74.08 | 77.56 | 75.07 | |
| 450,000 | 71.43 | 68.62 | 71.07 | 69.02 | |
| Random Forest | 50,000 | 73.51 | 71.85 | 75.12 | 72.24 |
| 150,000 | 73.09 | 71.16 | 74.73 | 72.09 | |
| 450,000 | 73.88 | 71.42 | 73.15 | 71.46 | |
| ANN | 50,000 | 63.57 | 62.08 | 64.82 | 62.32 |
| 150,000 | 63.86 | 60.59 | 61.85 | 60.85 | |
| 450,000 | 65.37 | 62.02 | 62.90 | 62.01 | |
| BP | 50,000 | 70.59 | 65.78 | 66.27 | 65.89 |
| 150,000 | 71.16 | 73.54 | 73.47 | 73.44 | |
| 450,000 | 69.37 | 64.68 | 64.35 | 64.38 | |
| Our Neural Networks | 50,000 | 82.29 | 48.94 | 52.73 | 46.31 |
| 150,000 | 86.05 | 84.27 | 86.81 | 84.88 | |
| 450,000 | 88.02 | 86.19 | 89.05 | 87.30 |