Dataset

Heart Attack Possibility ( https://www.kaggle.com/nareshbhat/health-care-data-set-on-heart-attack-possibility )

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
6. resting electrocardiographic results (values 0,1,2)
7. maximum heart rate achieved
8. exercise induced angina
9. oldpeak = ST depression induced by exercise relative to rest 11)the slope of the peak exercise ST segment
10. number of major vessels (0-3) colored by flourosopy
11. thal: 0 = normal; 1 = fixed defect; 2 = reversable defect
12. target: 0= less chance of heart attack 1= more chance of heart attack

Task

Predict the risk of heart attack

Challenge

Assess the impact of the age and gender