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

Table 1

Background characteristics of the study participants.

Variables	Frequency (n = 1129)	Percent (%)
Division
Barisal	114	10.1
Chittagong	174	15.4
Dhaka	173	15.3
Khulna	121	10.7
Mymensingh	146	12.9
Rajshahi	121	10.7
Rangpur	126	11.2
Sylhet	154	13.6
Sex of Household Head
Male	1001	88.7
Female	128	11.3
Woman’s Age Group (in years)
15-19	314	27.8
20-24	388	34.4
25-29	255	22.6
30-49	172	15.2
Wealth Status
Poor	458	40.6
Middle	212	18.8
Rich	459	40.7
Education Status
No education	48	4.3
Primary education	303	26.8
Secondary and above	778	68.9
Respondent Occupation
Yes	370	32.8
No	759	67.2
Husband Age
≤24	166	14.7
25-34	582	51.6
≥35	381	33.7
Husband’s Education Status
No education	142	12.6
Primary education	375	33.2
Secondary and above	612	54.2
Contraceptive Intention
Intended to use	1113	98.6
Unintended to use	16	1.4
Age at first birth
Early	309	27.4
Not early	376	33.3
Don't Know	444	39.3
Age at First Cohabitation
<18	758	67.1
≥18	371	32.9
Number of Children
0	469	41.5
1-2	570	50.5
3+	90	8.0
Family Size
4<4	255	22.6
4-6	541	47.9
>6	333	29.5
Partner Residence
Living with partner	925	81.9
Staying elsewhere	204	18.1
Involuntary Pregnancies
Intended	847	75.0
Unintended	282	25.0