Performance Evaluation of Machine Learning Algorithm for Classification of Unintended Pregnancy among Married Women in Bangladesh

Table 2

Percentage distribution and association between selected covariates and women’s pregnancy intentions in Bangladesh.

Variables	Current Pregnancy Intention		χ^2value	p value
	Intended (n = 847)	Unintended (n = 282)
Division			24.91	<0.001
Barisal	75.4	24.6
Chittagong	83.9	16.1
Dhaka	75.1	24.9
Khulna	83.5	16.5
Mymensingh	77.4	22.6
Rajshahi	70.2	29.8
Rangpur	66.7	33.3
Sylhet	66.2	33.8
Sex of Household Head			10.54	<0.001
Male	73.5	26.5
Female	86.7	13.3
Women’s age group (in years)			13.06	0.005
15-19	79.0	21.0
20-24	76.3	23.7
25-29	75.3	24.7
30-49	64.5	35.5
Wealth status			12.73	0.002
Poor	70.3	29.7
Middle	73.6	26.4
Rich	80.4	19.6
Education status			22.20	<0.001
No education	56.3	43.8
Primary education	68.3	31.7
Secondary and above	78.8	21.2
Respondent occupation			5.21	0.01
Yes	70.8	29.2
No	77.1	22.9
Husband age			7.57	0.02
≤24	78.3	21.7
25-34	77.3	22.7
≥35	70.1	29.9
Husband education status			39.65	<0.001
No education	58.5	41.5
Primary education	70.4	29.6
Secondary and above	81.7	18.3
Contraceptive intention			4.04	0.04
Intended to use	74.8	25.2
Unintended to use	93.8	6.3
Age at first birth			72.32	<0.001
Early	62.1	37.9
Not early	70.2	29.8
Don't Know	88.1	11.9
Age at first cohabitation			14.12	<0.001
<18	71.6	28.4
≥18	81.9	18.1
Number of children			102.76	<0.001
0	88.3	11.7
1-2	69.1	30.9
3+	43.3	56.7
Family size			9.00	0.01
<4	81.6	18.4
4-6	71.7	28.3
>6	75.4	24.6
Partner residence			7.14	0.004
Living with partner	73.4	26.6
Staying elsewhere	82.4	17.6