Computational Learning Model for Prediction of Heart Disease Using Machine Learning Based on a New Regularizer

Table 1

Dataset description for heart disease.

S. no.	Attribute name	Value range
1	Age group	≥25
2	Gender	Male = 1, female = 0
3	Pain in chest	4 distinct values denote the intensity of pain
4	Diastolic pressure	≥94
5	Cholesterol quantity per mg/dl	≥126
6	Sugar quantity in blood per mg/dl	≥120
7	ECG values	0, 1 or 2
8	MHR	≥71
9	Angina induced	0 or 1
10	ST peak depression	≥0
11	ST segment elevation	1, 2 or 3
12	No. of great vessels considered	0, 1, 2 or 3
13	Thal value	Fixed defect = 6, reversible defect = 7, normal = 3.