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Table 2 Data set description

From: Optimizing heart disease diagnosis with advanced machine learning models: a comparison of predictive performance

S.No

Variable Name

Description and range

Feature Type

1.

Age

Age 30 to 90

Integer

2.

Sex

0-female, 1-male

Binary

3.

Chest-pain

Chest pain type 1 to 4

Nominal

4.

Rest-bp

Resting Blood Pressure 90 to 180

Integer

5.

Serum-chol

Serum Cholestrol mg/dl [126,564]

Integer

6.

Fastingbloodsugar (FBS)

FBS above 120 mg/dl [1 = true, 0 = false]

Binary

7.

Electrocardiographic (ECG)

Resting electrocardiographic results

Nominal

8.

Max-heart-rate

Maximum heart rate achieved 90 to 180

Integer

9.

Angina

exercise induced angina [0 = no, 1 = yes]

Binary

10.

Old peak

oldpeak = ST depression induced by exercise relative to rest

Integer

11.

Slope

the slope of the peak exercise ST segment

Normal

12.

Target

0-No, 1-Yes

Binary