Using Predictive Machine Learning Regression Model To Predict The Population Of Nigeria
Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 2
Abstract
In any nation, there is always a government in place charged with the responsibly of governing the citizens of the country and for effective governance, there should be plan based on the number of citizens (population) in such country. Government therefore spends a lot on census exercises which is meant to count the number of people living in the country. Census exercises in Nigeria were characterized by various abnormalities resulting into inaccuracies in the results obtained. Series of research work have been published on how to solve this problem. In this research, different types of predictive models to characterize the population of Nigeria were developed using machine learning regression method. The best of the models was selected and used to predict the population of Nigeria up to the year 2050. By 2050, all things being equal, the population was predicted to be 400,000,000. The instrument used for the implementation is Matlab modeling toolbox. The research work will serve as a very useful tool in the area of population prediction and assist the government in her future plan.
Authors and Affiliations
Dauda Odunayo OLANLOYE, Esther Odunayo ODUNTAN, Roseline Olawumi OLASUNKANMI
Keywords
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