Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method

Table 1

Heart disease dataset descriptions.

No.	Features	Descriptions
1	Age	Age of patient (years)
2	Sex	1: male, 0: female
3	Chest pain (CP)	CP types; 1 = typical angina; 2 = atypical angina; 3 = nonangina pain; 4 = asymptomatic
4	RestBP	Resting blood pressure
5	Chol	Serum cholesterol in mg/dl
6	FBS	Fasting blood sugar larger 120 mg/dl (1 true)
7	RestECG	Resting electrocardiographic result
8	Thalach	Maximum heart rate accomplished
9	Exang	Exercise-induce angina (1 yes)
10	Oldpeak	ST depression induce: exercise relative to rest
11	CA	Number of major vessels (0–3)
12	Slope	Slope of peak exercise ST
13	Thal	No explanation provided, but probably thalassemia
14	Num	Diagnosis of cardiac disease: 1: yes; 0: no