UTILIZING LOGISTIC REGRESSION TO IDENTIFY HOUSEHOLD POVERTY STATUS IN BENUE STATE OF NIGERIA

Authors

  • Terseer Andrew Gaav
    Benue State University Makurdi
  • Beatrice O. Akumba
    Benue State University image/svg+xml
  • Samera U. Otor
    Benue State University Makurdi
  • Selumun Agber
    Benue State University Makurdi

Keywords:

Detection, Poverty Status, Logistic Regression, Household, Algorithm

Abstract

Despite numerous poverty alleviation programmes in Nigeria, household poverty continues to rise. This paper aimed to improve poverty detection by analyzing household socio-economic and environmental data using logistic regression models. Data was collected through Google forms and pre-processing and feature extractions were performed. Five logistic models were developed to represent different types of poverty. The models were evaluated for accuracy, precision, recall, and F1 score, achieving 80% for Absolute Poverty and 100% for Chronic/Structural, Conjectural/Transitory, and Locational/Spatial poverty. The analysis revealed that over half of the households were poor, with Spatial/Locational poverty being the most prevalent. Targeting this type of poverty is recommended for effective intervention.

Author Biographies

Terseer Andrew Gaav

Gaav Terseer Andrew is a PG student, in the Department of Mathematics/Computer Science, Benue State University Makurdi. 

Beatrice O. Akumba

Beatrice Obianiberi Akumba is a Senior Lecturer in the Department of Mathematics/Computer Science. 

A researcher with special interests in Machine Learning, Software Engineering and Data Analysis.

Samera U. Otor

Dr. Samera Otor is a Senior Lecturer in the Department of Mathematics/Computer Science, Benue State University Makurdi. 

Selumun Agber

Mr. Selumun is a Lecturer in the Department of mathematics/Computer Science, Benue State University, Makurdi.

Dimensions

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Published

30-06-2024

How to Cite

UTILIZING LOGISTIC REGRESSION TO IDENTIFY HOUSEHOLD POVERTY STATUS IN BENUE STATE OF NIGERIA. (2024). FUDMA JOURNAL OF SCIENCES, 8(3), 416-421. https://doi.org/10.33003/fjs-2024-0803-2524

Issue

Vol. 8 No. 3 (2024): FUDMA Journal of Sciences - Vol. 8 No. 3 (Special Issue)

Section

Research Articles
Copyright & Licensing

FUDMA Journal of Sciences

How to Cite

UTILIZING LOGISTIC REGRESSION TO IDENTIFY HOUSEHOLD POVERTY STATUS IN BENUE STATE OF NIGERIA. (2024). FUDMA JOURNAL OF SCIENCES, 8(3), 416-421. https://doi.org/10.33003/fjs-2024-0803-2524

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