The goal is to predict the presence of heart disease in the patient. The predicted value is an integer valued from 0 (no presence) to 4. This data set is sourced from the UCI Machine Learning Repository.
Attribute information:
- age: age in years
- sex: 1 = male; 0 = female
- cp: chest pain type (1: typical angina; 2: atypical angina; 3: non-anginal pain)
- trestbps: resting blood pressure (in mm Hg on admission to the hospital)
- chol: serum cholestoral in mg/dl
- fbs: fasting blood sugar > 120 mg/dl (1 = true; 0 = false)
- restecg: resting electrocardiographic results (0: normal; 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV); 2: showing probable or definite left ventricular hypertrophy by Estes' criteria
- thalach: maximum heart rate achieved
- exang: exercise induced angina (1 = yes; 0 = no)
- oldpeak = ST depression induced by exercise relative to rest
- slope: the slope of the peak exercise ST segment (1: upsloping; 2: flat; 3: downsloping)
- ca: number of major vessels (0-3) colored by flourosopy
- thal: 3 = normal; 6 = fixed defect; 7 = reversable defect
- num: predicted value, diagnosis of heart disease; integer valued from 0 (no presence) to 4