[Retracted] Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques

Table 1

Dataset attributes.

Attribute	Representation	Details
Age	Age	In years
Sex	Sex	Male = 1, female = 0
Chest pain	CP	4 types: 4-asymptomatic, 2-nonanginal, 3-atypical, and 1-typical
Rest blood pressure	Trestbps	On hospital admission in mm Hg
Serum cholesterol	Chol	In mg/dl
Fasting blood sugar	Fbs	>120 mg/dl (0-false, 1-true)
Rest electrocardiograph	Restecg	0-normal, 1-abnormal, and 2-maximum heart rate
Max heart rate	Thalch	Maximum heart rate
Exercise-induced angina	Exang	1-yes, 0-no
ST depression	Oldpeak	Depression induced by exercise
Slope	Slope	1-up, 2-flat, and 3-down
No. of vessels	Ca	Vessels colored by fluoroscopy
Thalassemia	Thal	3-normal, 6-fixed, and 7-irreviersible
Num	Class	0-no risk, 1-low risk, 2-high risk, and 3-very high risk