Table 1 Description of dataset.
Feature | Description | Data type | Values |
---|---|---|---|
ID | Unique identification number of patient | Numerical data | 67, 68, 69…0.72940 |
Age (in years) | Age of patient | Numerical data | 1, 2, 3…. 81,82 |
Gender | This attribute tells about gender | Categorical data | Male, Female |
Hypertension | It tells whether the patient is hypertensive or not. | Numerical data | 0,1 |
Heart_disease | This attribute gives information about heart disease | Numerical data | 0,1 |
Ever_married | This attribute shows the marital status of the patient | Categorical data | Yes, No |
Work_type | This feature gives information regarding the type of work | Categorical data | Private, Self-employed, Govt_job, children, Never_worked |
Residence_type | It gives information regarding the residential area type | Categorical data | Urban, Rural |
Average glucose level | It shows the average glucose level of the patient | Numerical data | 55.12 |
BMI | This attribute denotes the body mass index | Numerical data | 10.3, 16,17 .…0.97.6 |
Smoking_status | It represents the smoking condition of the patient | Categorical data | Formerly smoked, never smoked, smokes, unknown |
Stroke | It indicates whether the patient has a stroke risk or not | Categorical data | 0, 1 |