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 |

6. Diastolic blood pressure | Examination Feature | ap_lo | int |

7. Cholesterol | Examination Feature | cholesterol | 1: normal, 2: above normal, 3: well above normal |

8. Glucose | Examination Feature | gluc | 1: normal, 2: above normal, 3: well above normal |

9. Smoking | Subjective Feature | smoke | binary |

10. Alcohol intake | Subjective Feature | alco | binary |

11. Physical activity | Subjective Feature | active | binary |

12. Presence or absence of cardiovascular disease | Target Variable | cardio | binary |

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