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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