Table 2 The family-wise attribute information of the obesity dataset.

From: Lifestyle data-based multiclass obesity prediction with interpretable ensemble models incorporating SHAP and LIME analysis

Attribute information

Value range

Min

Max

Mean

SD

25%

50%

75%

Bio parameters

Patient’s age (AG)

Numeric

14

61

24.31

6.34

19.94

22.77

26

Patient’s gender (GD)

Female, male

0

1

0.50

0.50

0

1

1

Patient’s height (HT)

Numeric value in meters

1.45

1.98

1.70

0.09

1.630

1.700

1.768

Patient’s weight (WT)

Numeric value in kilograms

49

173

86.58

26.19

65.47

83

107.43

If any family member of the patient is/was overweight (FH)

Yes, no

0

1

0.81

0.38

1

1

1

Food habits

If the patient eats high-calorie food frequently (FF)

Yes, no

0

1

0.88

0.32

1

1

1

If the patient usually eats vegetables with meals (FV)

Never, sometimes, always

1

3

2.41

0.53

2

2.38

3

Number of main meals the patient has daily (NM)

One or two, three, more than three

1

4

2.68

0.77

2.65

3

3

Does the patient eat any food between meals (CM)

No, sometimes, frequently, always

0

3

1.85

0.46

2

2

2

How much water the patient drinks daily (CW)

Less than a litre, 1–2 L, more than 2 L

1

3

2

0.61

1.58

2

2.47

Addiction

Does the patient smoke (SK)

Yes, no

0

1

0.02

0.14

0

0

0

How often does the patient drink alcohol (CA)

Never, sometimes, frequently, always

0

3

2.26

0.51

2

2

3

Health consciousness

Does the patient monitor the calories you eat daily (CC)

Yes, no

0

1

0.04

0.20

0

0

0

How often does the patient have physical activity in a week (FA)

Never, 1–2 days, 2–4 days, 4–5 days

0

3

1.01

0.85

0.12

1

1.66

Other lifestyles

How much time does the patient spend using electronic gadgets (e.g., cell phone, videogames, television, computer, etc.) others in a day (TD)

0–2 h, 3–5 h, more than 5 h

0

2

0.65

0.60

0

0.62

1

Which transportation does the patient generally use (TU)

Car, motorbike, bike, public transportation, walking

0

4

2.36

1.26

3

3

3

Target disease

Weight or obesity prediction of the patient (OB)

Underweight, normal weight, overweight level I, overweight level II, obesity type I, obesity type II and obesity type III

0

6

3.01

1.95

1

3

5