PMSVM: An Optimized Support Vector Machine Classification Algorithm Based on PCA and Multilevel Grid Search Methods

Table 1

Description of the UCI Stalog Heart Disease Dataset.

Number	Attributes	Full name of attributes	Value types
1	age	Age in years	Real
2	sex	Sex (1 = male; 0 = female)	Binary
3	cp	cp: chest pain type (1 = typical angina; 2 = atypical angina; 3 = nonanginal pain; 4 = asymptomatic)	Nominal
4	trestbps	Resting blood pressure (in mm Hg on admission to the hospital)	Real
5	chol	Serum cholesterol in mg/dL	Real
6	fbs	(Fasting blood sugar 120 mg/dL) (1 = true; 0 = false)	Binary
7	restecg	Resting electrocardiographic results (values 0, 1, 2)	Nominal
8	thalach	Maximum heart rate achieved	Real
9	exang	Exercise induced angina (1 = yes; 0 = no)	Binary
10	oldpeak	ST depression induced by exercise relative to rest	Real
11	slope	The slope of the peak exercise ST segment	Ordered
12	ca	Number of major vessels (0–3) colored by fluoroscopy	Real
13	thal	3 = normal; 6 = fixed defect; 7 = reversible defect	Nominal
14	num	Diagnosis of heart disease (angiographic disease status: 1 = absence; 2 = presence)	Binary