Table 3 Sample data format.
From: Optimizing brain stroke detection with a weighted voting ensemble machine learning model
Gender | Age | Hypertension | Heart_ disease | Ever_ married | Job type | Residence type | Avg_ Glucose level | BMI | Smoking status | Stroke |
|---|---|---|---|---|---|---|---|---|---|---|
Male | 57 | 0 | 1 | No | Govt | Urban | 217.08 | 33.80841 | Unknown | 1 |
Male | 58 | 0 | 0 | Yes | Private | Rural | 189.84 | 31.37853 | Unknown | 1 |
Female | 58 | 0 | 0 | Yes | Private | Urban | 71.2 | 30.00388 | Unknown | 1 |
Male | 58 | 0 | 0 | Yes | Private | Urban | 82.3 | 30.19957 | smokes | 1 |
Female | 59 | 0 | 0 | Yes | Private | Rural | 211.78 | 33.48457 | formerly smoked | 1 |
Male | 79 | 0 | 1 | Yes | Private | Urban | 57.08 | 22 | formerly smoked | 0 |
Female | 37 | 0 | 0 | Yes | Private | Rural | 162.96 | 39.4 | never smoked | 0 |
Female | 37 | 0 | 0 | Yes | Private | Rural | 73.5 | 26.1 | formerly smoked | 0 |
