Table 3.
Sentiment accuracy comparison on binomial dataset
| Algorithm | Train–test split percentage | 10-FCV | ||||||
|---|---|---|---|---|---|---|---|---|
| 10% | 20% | 30% | 40% | 50% | 60% | 70% | ||
| KNN | 73.26 | 76.45 | 78.86 | 78.98 | 82.13 | 81.47 | 82.37 | 82.89 |
| DT | 74.34 | 75.96 | 76.65 | 76.34 | 77.26 | 76.23 | 77.61 | 76.39 |
| SVM | 76.47 | 78.58 | 80.90 | 83.28 | 83.65 | 84.13 | 85.21 | 86.42 |
| NB | 71.54 | 76.79 | 77.30 | 79.03 | 80.67 | 80.49 | 81.05 | 81.43 |
| Voting | 76.23 | 80.14 | 82.16 | 83.89 | 85.35 | 85.35 | 85.71 | 86.75 |
| Bagging (KNN) | 73.63 | 76.95 | 78.82 | 79.38 | 81.95 | 82.08 | 82.57 | 82.86 |
| Bagging (DT) | 75.15 | 76.34 | 77.34 | 76.75 | 78.05 | 76.84 | 78.32 | 76.85 |
| Bagging (SVM) | 76.33 | 78.05 | 80.86 | 82.57 | 83.53 | 83.90 | 85.31 | 86.08 |
| Bagging (NB) | 71.64 | 76.98 | 77.21 | 79.28 | 80.67 | 80.64 | 81.26 | 81.46 |