Research Article
Deploying Machine Learning Techniques for Human Emotion Detection
Table 8
Comparison of eight ML classifiers on JAFFE dataset.
| Classifier | Classification accuracy | Precision | Recall | F1-score | Training time (seconds) |
| Gaussian NB | 0.90 | 0.93 | 0.90 | 0.91 | 0.005 | QDA | 0.79 | 0.80 | 0.79 | 0.79 | 0.005 | DT | 0.90 | 0.91 | 0.90 | 0.90 | 0.005 | LR | 0.86 | 0.90 | 0.86 | 0.86 | 0.09 | RF | 0.93 | 0.94 | 0.93 | 0.93 | 0.33 | MLP | 0.90 | 0.94 | 0.90 | 0.91 | 0.41 | SVM | 0.88 | 0.91 | 0.88 | 0.88 | 0.008 | KNN | 0.95 | 0.97 | 0.95 | 0.95 | 0.002 |
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