Data description There are 3 types of input features:

Objective: factual information; Examination: results of medical examination; Subjective: information given by the patient. Features:

1. Age | Objective Feature | age | int (days)
2. Height | Objective Feature | height | int (cm) |
3. Weight | Objective Feature | weight | float (kg) |
4. Gender | Objective Feature | gender | categorical code | 5)Systolic blood pressure | Examination Feature | ap_hi | int |
5. Diastolic blood pressure | Examination Feature | ap_lo | int |
6. Cholesterol | Examination Feature | cholesterol | 1: normal, 2: above normal, 3: well above normal |
7. Glucose | Examination Feature | gluc | 1: normal, 2: above normal, 3: well above normal |
8. Smoking | Subjective Feature | smoke | binary |
9. Alcohol intake | Subjective Feature | alco | binary |
10. Physical activity | Subjective Feature | active | binary |
11. Presence or absence of cardiovascular disease | Target Variable | cardio | binary |

All of the dataset values were collected at the moment of medical examination.