Population Forecasting System Using Machine Learning Algorithm

© 2020 by IJCTT Journal
Volume-68 Issue-12
Year of Publication : 2020
Authors : Dr. Nwanze Ashioba, Ndubuife Nonso Daniel
DOI :  10.14445/22312803/IJCTT-V68I12P109

How to Cite?

Dr. Nwanze Ashioba, Ndubuife Nonso Daniel, "Population Forecasting System Using Machine Learning Algorithm," International Journal of Computer Trends and Technology, vol. 68, no. 12, pp. 40-43, 2020. Crossref, 10.14445/22312803/IJCTT-V68I12P109

In every nation, there has been a platform to ascertain its citizens` exact number, population growth rate and make plans and decisions using the population information. The government spent a lot of resources on census enumeration. Unfortunately, in Nigeria, census enumeration has been embroiled in controversies. To overcome these problems, the existing systems face, the researchers have designed and developed a population forecasting system using a machine learning algorithm. The researchers adopted the Object-Oriented analysis and design methodology in developing the Population Forecasting System. The results have shown that Linear Regression Model has lower percentage error margins (between 0.76% and 1.09%) than the Average Projection Model and the Nature Fund Growth model with a percentage error margin between 4.73% - 1.43% and 0.9% - 1.89%, respectively.

Population, Population Forecasting, Population Estimation, Machine Learning Algorithm.

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