An Ensemble Machine Learning Approach for Classifying Job Positions

Authors

  • Ayaz Khalid Mohammed Computer System Department, Ararat Private Technical Institute, Kurdistan Region - Iraq
  • Abdullahi Aliyu Danlami Department of Engineering, National Agency for Science and Engineering Infrastructure (NASENI), Abuja, Nigeria
  • Dindar I. Saeed Employee in Scientific Journal University of Zakho, University of Zakho, Kurdistan Region - Iraq
  • Abdulmalik Ahmad Lawan Department of Computer Science, Kano University of Science and Technology, 713281 Wudil, Nigeria
  • Adamu Hussaini Department of Computer Science, Kano University of Science and Technology, Nigeria
  • Ramadhan Kh. Mohammed Computer System Department, Ararat Private Technical Institute, Kurdistan Region - Iraq

DOI:

https://doi.org/10.25007/ajnu.v12n3a1547

Keywords:

Machine learning, heterogeneous ensemble, job position, multi-class classification

Abstract

Machine learning is one of the promising research areas in computer science, with numerous applications in automated detection of meaningful data patterns. Several data-centric studies were conducted on evaluating competencies, detecting similar jobs and predicting salaries of various job positions. However, the hazy distinction between closely related job positions requires powerful predictive algorithms. The present study proposed an ensemble approach for accurate classification of various job positions. Accordingly, different machine learning algorithms were applied on 955 instances obtained from Glassdoor using web scraping. Furthermore, the present study classify various job positions based on average salary and other correlated explanatory variables that cover many aspects of job activities on the internet. The study result revealed the superior performance of heterogeneous ensembles in terms of precision and accuracy. The proposed data-centric approach produce strong models for researchers, recruiters, and candidates to assigned job positions and its competencies.

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References

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Published

2023-08-30

How to Cite

Khalid Mohammed, A., Aliyu Danlami, A., I. Saeed, D., Ahmad Lawan, A., Hussaini, A., & Kh. Mohammed, R. (2023). An Ensemble Machine Learning Approach for Classifying Job Positions. Academic Journal of Nawroz University, 12(3), 547–555. https://doi.org/10.25007/ajnu.v12n3a1547

Issue

Vol. 12 No. 3 (2023)

Section

Articles

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