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Table 1 Factors classification of malnutrition used in this study

From: Assessing risk factors for malnutrition among women in Bangladesh and forecasting malnutrition using machine learning approaches

Factors

Description

Factor types

Class level

Age

Age in group

Categorical

15-24, 25-34, 35-49

Division

Division

Categorical

Barisal, Chittagong, Dhaka, Khulna, Mymensingh, Rajshahi, Rangpur, Sylhet

Residence

Type of place of residence

Categorical

Urban, Rural

Wealth index

Wealth index

Categorical

Poor, Middle, Rich

Education

Highest educational level

Categorical

No education, Primary, Secondary, Higher

Currently working

Respondent currently working

Categorical

No, Yes

Children ever born

Number of children ever born

Categorical

1-2, 3-4, 5 or more

Birth in last 5 years

Number of birth in last 5 years

Categorical

1-2, 3-4

Currently pregnant

Pregnancy status

Categorical

No, Yes

Currently breastfeeding

Breastfeeding status

Categorical

No, Yes

Husband’s Education

Highest educational level

Categorical

No education, Primary, Secondary, Higher

Drinking water

Source of drinking water

Categorical

Safe, Unsafe

Toilet facility

Type of toilet facility

Categorical

Hygenic, Unhygenic

Cooking fuel

Type of cooking fuel

Categorical

Improved, Unimproved