Machine Learning Algorithms for understanding the determinants of under-five Mortality

Table 1 Multivariate Logistic Regression Analysis for predicting the factors for under-five mortality data

Background Characteristics	Standard Error	P -value	Odds Ratio	Confidence Interval
Births in the last five years				Lower	Upper
No births (Ref)
One birth	0.03	0.00	0.39	0.33	0.44
= > 2 birth	0.01	0.00	0.17	0.14	0.20
Breastfeeding status
No (Ref)
Yes	0.21	0.00	3.71	3.33	4.14
Exposure
Fecund (Ref)
Pregnant	0.08	0.66	1.03	0.89	1.20
Postpartum amenorrheic	0.06	0.06	0.89	0.78	1.01
Infecund, menopausal	0.15	0.68	0.94	0.68	1.28
Sex of child
Female (Ref)
Male	0.06	0.01	1.14	1.03	1.26
Living children
No Children (Ref)
One Child	0.0012	0.00	0.01	0.01	0.01
> 2 Children			1.00
Child Size
Large (Ref)
Average	0.12	0.00	1.60	1.38	1.85
Smaller	0.07	0.05	0.85	0.72	1.00
ANC
No (Ref)
Yes	0.23	0.00	2.09	1.69	2.58
Birth order
One birth order (Ref)
Two birth order	0.18	0.00	2.05	1.73	2.44
> 2 Birth order	0.11	0.50	1.07	0.88	1.31
Education level
No education (Ref)
Primary	0.07	0.78	0.98	0.85	1.13
Secondary	0.06	0.79	0.98	0.87	1.12
Higher	0.12	0.60	0.93	0.72	1.21
Wealth Index
Poor (Ref)
Middle	0.07	0.44	0.95	0.83	1.08
Rich	0.09	0.11	1.13	0.97	1.31
MXP
No exposure (Ref)
Any exposure	0.06	0.57	0.97	0.86	1.08
Time in months
0–11 (Ref)
12–23	0.06	0.00	0.70	0.59	0.84
24–35	0.06	0.00	0.72	0.60	0.86
36–47	0.06	0.00	0.65	0.54	0.77
48–59	0.07	0.01	0.78	0.65	0.93
Children ever born
One Child (Ref)
Two Children	1.48	0.00	11.47	8.91	14.76
> Two Children			1.00
Desire for more children
One Child (Ref)
Two Children	0.05	0.00	0.57	0.48	0.67
> Two Children	0.04	0.00	0.64	0.56	0.73
Constant
	2.07	0.00	11.62	8.20	16.47

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