AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease

Table 1

Attributes of the dataset.

Sl. No.	Features	Description	Values
1	Age	Age in years	Continuous
2	Sex	Gender of patient	Male/female
3	CP	Chest pain	Four types
4	Trestbps	Resting blood pressure	Continuous
5	Chol	Serum cholesterol	Continuous
6	FBS	Fasting blood sugar	<, or >120 mg/dl
7	Restecg	Resting electrocardiograph	Five values
8	Thalach	Maximum heart rate achieved	Continuous
9	Exang	Exercise induced angina	Yes/no
10	Oldpeak	ST depression when working out compared to the amount of rest taken	Continuous
11	Slope	Slope of peak exercise ST segment	Up/flat/down
12	Ca	Gives number of major vessels colored by fluoroscopy	0–3
13	Thal	Defect type	Reversible/fixed/normal
14	Num (disorder)	Heart disease	Not present (“NO”)/present in the four major types (“YES”)