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Table 4 Identified risk factors with best fit model and feature importance

From: Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm

Feature

Values

Feature

Values

Duration of current pregnancy

10.3953193

Current pregnancy wanted

3.838873474

Age in 5-year groups

9.69394377

Body mass index

2.787116569

Source of drinking water

8.99369175

Number of ANC visits

2.600944933

History of contraceptive use

6.61405164

Highest educational level

2.419310637

Pregnant woman’s occupation

6.12946203

History of terminating a pregnancy

0.849814164

Number of household members

5.85914199

Currently breastfeeding

0.732357678

Wealth index

5.63211101

Type of place of residence

0.576997215

Frequency of listening to the radio

5.16045505

Vitamin A in last 6 months

0.356953114

Husband/partner's education level

5.02943094

During pregnancy, given or bought iron tablets/syrup

0.046775106

Region

4.3314029

History of Place of delivery

0.010932682

Husband/partner's occupation

3.96855455

During pregnancy took: sp/ fansidar for malaria

0.00058328

Birth history

3.87177534