Performance Evaluation of Machine Learning Techniques (MLT) for Heart Disease Prediction

Table 1

Features of the dataset.

S.no	Attributes	Description
1	Age	Age in years
2	Gender	If a person is male or female
3	Trestbs	Hospital admission mm/hg for the resting blood pressure
4	Chol	Mg/dl of serum cholesterol
5	Fbs	Blood sugar levels at breakfast (more than 120 mg|dl). 1 indicates true. 0 indicates false.
6	Thalch	It achieved maximum heart rate
7	Smoker	Whether the person is a smoker or not
8	CP	Whether the person is having chest pain or not
9	Skin cancer	Whether the person is suffering from skin cancer or not.
10	BMI	Body mass index of a person
11	Blood pressure	Whether the person is having blood pressure or not.
12	Outcome	0 denotes the absence of heart disease. 1 denotes cardiovascular disease