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Classification accuracy comparison of existing approaches and MLSTM_3 classifier for two class of emotion classification to analyze the mental state during pandemic.
| Method | Partition | Accuracy (%) |
|---|---|---|
| Max | ||
| Neural network | 80–20 | 74 |
| Random forest | 80–20 | 70 |
| Genetic programming | 80–20 | 79 |
| SVM | 80–20 | 76 |
| FSGP | 80–20 | 85 |
Bold shows the maximum value of accuracy.
