Child mortality is regarded as one of the most revealing measures of society’s ability to meet the needs of
its people. The Millennium Development Goal 4 (MDG 4) advocates a reduction of under-five mortality
rate by two-thirds between 1990 and 2015. The main objective of this study was to develop a validated set
of statistical models and select the most appropriate model between logistic regression and K Nearest
Neighbor to predict mortality among children under five and to compare the influence of selected risk
factors on the probability of death before the age of 5 years among children in Ghana. The study revealed
that the K Nearest Neighbor model was the most efficient in modeling Mortality in Children under five with
a CCR of 83%. The Logistic Regression model will also do a good job at predicting mortality in children
under five with a CCR of 81%. The highest educational level of mother, Age of mother at birth, Type of
toilet facility used by family, alcohol consumption and the wealth index of family were discovered as the
most important variables in predicting mortality amongst children under five in Ghana across both models.