## About Dataset

This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to

this date.The "target" field refers to the presence of heart disease in the patient. It is integer valued 0 = no/less chance of heart attack and 1 = more chance of heart attack

### Attribute Information

1) age

2) sex

3) chest pain type (4 values)

4) resting blood pressure

5) serum cholestoral in mg/dl

6)fasting blood sugar > 120 mg/dl

7) resting electrocardiographic results (values 0,1,2)

8) maximum heart rate achieved

9) exercise induced angina

10) oldpeak = ST depression induced by exercise relative to rest

11)the slope of the peak exercise ST segment

12) number of major vessels (0-3) colored by flourosopy

13) thal: 0 = normal; 1 = fixed defect; 2 = reversable defect

14) target: 0= less chance of heart attack 1= more chance of heart attack

Dataset is taken for learning purpose. Source of the data : https://archive.ics.uci.edu/ml/datasets/Heart+Disease