Research Article
[Retracted] Detection of Types of Mental Illness through the Social Network Using Ensembled Deep Learning Model
Table 1
Comparison table of the deep learning models.
| Channel | Class | CNN | Ensemble deep learning model | | Accuracy (%) | Precision | Recall | F1 score | Accuracy | Precision | Recall | F1 score |
| Anxiety | Anxiety | 77.81 | 87.54 | 41.44 | 56.25 | 80.13 | 89.63 | 50.14 | 64.30 | Nonanxiety | 75.92 | 96.91 | 85.14 | 77.16 | 98.13 | 86.39 | Bipolar | Bipolar | 90.20 | 87.22 | 38.02 | 52.95 | 92.14 | 89.13 | 45.42 | 60.17 | Nonbipolar | 90.40 | 99.05 | 94.53 | 92.56 | 99.43 | 95.99 | Dementia | Dementia | 75.13 | 89.1 | 71.75 | 79.49 | 80.45 | 90.46 | 76.17 | 82.7 | Nondementia | 58.66 | 82.04 | 68.41 | 64.23 | 86.04 | 73.55 | Psychotic | Psychotic | | | | | 78.85 | 83.45 | 61.23 | 70.63 | Nonpsychotic | | | | | 76.73 | 70.94 | 73.75 |
|
|