Table 1 Description of characteristics for overweight and obese individuals.

From: Personalized optimal nutrition lifestyle for self obesity management using metaalgorithms

Feature

Feature summary

Drop in variance

P value

Minimum

Maximum

Average

Standard deviation

Continuous feature

FCVC

1.00

3.00

2.43

0.51

165.15

0.0000

NCP

1.00

4.00

2.64

0.73

3.40

0.0334

FAF

0.00

3.00

0.93

0.80

3.34

0.0353

CH2O

1.00

3.00

2.06

0.60

0.18

0.8328

TUE

0.00

2.00

0.62

0.58

0.15

0.8581

Age

15.00

56.00

25.60

6.48

0.02

0.9784

Categorical feature

 

Category

Count

  

FHWO

Yes

1442

17.77

0.0000

No

102

FAVC

Yes

1429

12.34

0.0000

No

115

SCC

Yes

38

3.48

0.0309

No

1506

Gender

Female

720

2.41

0.0897

Male

824

CALC

Frequently

51

0.97

0.3793

Sometimes

1079

No

414

CAEC

Always

17

0.77

0.4629

Frequently

38

Sometimes

1451

No

38

SMOKE

Yes

30

0.75

0.4723

No

1514

MTRANS

Walking

18

0.26

0.7674

Biking

3

Public Transportation

1154

Automobile

364

Motorbike

5

  1. Drop in Variance is the test statistic of covariance test. P Value is the p value of covariance test. For continuous features, minimum, maximum, average and standard deviation are displayed. For categorical features, Count is the sample size under each category.