This dataset has been trained using a decision tree structure model. Necessary hyperparameters and features have been used to prevent overfitting.
This data set dates from 1988 and consists of four databases: Cleveland, Hungary, Switzerland, and Long Beach V. It contains 76 attributes, including the predicted attribute, but all published experiments refer to using a subset of 14 of them. The "target" field refers to the presence of heart disease in the patient. It is integer valued 0 = no disease and 1 = disease.
- age.
- gender.
- chest pain type (4 values).
- resting blood pressure.
- serum cholestoral in mg/dl.
- fasting blood sugar > 120 mg/dl.
- resting electrocardiographic results (values 0,1,2).
- maximum heart rate achieved.
- exercise induced angina.
- oldpeak = ST depression induced by exercise relative to rest.
- the slope of the peak exercise ST segment.
- number of major vessels (0-3) colored by flourosopy.
- thal: 0 = normal; 1 = fixed defect; 2 = reversable defect.
The names and social security numbers of the patients were recently removed from the database, replaced with dummy values.