Research Article
Mood Detection from Physical and Neurophysical Data Using Deep Learning Models
Table 6
Accuracy, F-measure, precision, and recall results of all user data based both traditional machine learning algorithms and deep learning models.
| Algorithm | Accuracy | F-measure | Precision | Recall |
| MNB | 31.23 | 26.44 | 29.30 | 39.27 | RF | 62.56 | 54.81 | 58.11 | 70.35 | SVR | 57.45 | 52.17 | 55.92 | 65.84 | DT | 82.03 | 78.02 | 79.05 | 88.07 | DIS | 79.27 | 72.70 | 76.61 | 90.40 | FNN | 73.42 | 68.35 | 67.58 | 83.12 | CNN | 84.31 | 80.29 | 82.57 | 91.04 | RNN | 79.55 | 74.33 | 76.42 | 85.00 | LSTM | 80.17 | 74.25 | 71.25 | 87.66 |
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