[Retracted] An Effective Machine Learning-Based Model for an Early Heart Disease Prediction

Table 1

Feature information of Cleveland UCI HD dataset.

Attribute	Data type	Range	Description
Age	Numeric	29−77	The age is displayed in years.
Sex	Nominal	0 or 1	1 stands for male, and 0 stands for female.
Cp	Nominal	1−4	The chest pain types are represented by 4 values.
Trestbps	Numeric	94−200	The resting blood pressure is measured in mm Hg on admission to the hospitals.
Chol	Numeric	126−564	The serum cholesterol is measured in mg/dl.
Fbs	Nominal	0 or 1	The fasting blood sugar must be ≥120 mg/dl; it is represented by 1 for true and 0 for false.
Restecg	Nominal	0−2	This is the resting electrocardiographic results.
Thalach	Numeric	71−202	This is the maximum heart rate achieved.
Exang	Nominal	0 or 1	This is exercise-induced angina (; ).
Oldpeak	Numeric	0−62	This is the ST depression induced by exercise when a patient is at rest.
Slope	Nominal	1−3	This the slope of the peak exercise ST segment.
Ca	Numeric	0−3	The number of major vessels (0–3) colored by fluoroscopy.
Thal	Nominal	3−7	This stands for thallium stress result; , , .
Num	Nominal	0−4	It is the outcome; and .