Research Article
Performance Assessment of Certain Machine Learning Models for Predicting the Major Depressive Disorder among IT Professionals during Pandemic times
Table 2
Features of data samples.
| Sl. No | Features |
| 1 | Age | 2 | Gender | 3 | Falling asleep during work | 4 | Reduction in food intake | 5 | Increase in food intake | 6 | Untime wakeup | 7 | Ability to enjoy with the team | 8 | Bad mood frequency | 9 | Irritated towards work | 10 | Uneasiness at work | 11 | Any relation between mood and time at work | 12 | Weight decreased recently | 13 | Weight increased recently | 14 | Sleeping more than the usual | 15 | Anxiousness during work | 16 | Concentration/decision-making during work | 17 | View of my future at my work place | 18 | Suicidal thoughts | 19 | Symptoms in body language | 20 | Alarming symptoms | 21 | Heart rate recorded average from sensors | 22 | Sleep pattern recorded average from sensors |
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