Using Machine Learning Models to Evaluate the Performance of Website in Iraqi Universities

Armaneesa Naaman Hasoon
International Journal of Computational and Electronic Aspects in Engineering
Volume 3: Issue 4, December 2022, pp 63-69

Author's Information
Armaneesa Naaman Hasoon1 
Corresponding Author
1Department of Computer Sciences, College of Computer Science & math, Tikrit University, Iraq
armaneesa@tu.edu.iq
Article -- Peer Reviewed
First online on – 9 December 2022

Open Access article under Creative Commons License

Cite this article –Armaneesa Naaman Hasoon “Using Machine Learning Models to Evaluate the Performance of Website in Iraqi Universities”, International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 3, Issue 4, pp. 63-69, 2022.
https://doi.org/10.26706/ijceae.3.4.2211496

Abstract:-
Academic website played a main role in giving information about academic institutions and view the services that introduced to their users. The purpose of this research evaluates the performance of Iraqi universities websites. A dynamic regression model was built. Created a dataset with 113 university websites then preprocessed executed at first then apply a correlation statistics method for determine the most features that influenced at the prediction of performance. Lastly, eight machine learning regression models was applied. After that compared these models, SGD regressor give the best result of evaluation metrics from other models were applied. For increasing the quality of a websites performance, academic institutions should take the result obtained from this research.
Index Terms:-
website, regression, feature selection, accuracy, performance
REFERENCES
  1. M.Bilal, Z. Song, and C. Wang, “Evaluate Accessibility and Usability Issues of Particular China and Pakistan Government Websites”, in 2019 2nd International Conference on Artificial Intelligence and Big Data, IEEE, 2019, pp.316-322.
    Crossref
  2. S. H. Mustafa, L. F. Al-Zoua’bi, “ Usability of the Academic Websites of Jordan's Universities An Evaluation Study”, in 2008 9th International Arab Conference for Information Technology(ACIT'2008), 2008.
    Online
  3. K. Devi, A. Sharma, “ Framework for Evaluation of Academic Website”, International Journal of Computer Techniques ,Vol.3, Issue 2, pp. 234-239, 2016.
    Online
  4. L.Peng , Y. Lu, and D. Wang, “ Brief analysis on web site performance evaluation”, in 2015 3rd International Conference on Cyberspace Technology (CCT), IEEE, 2015.
    Crossref
  5. M. Rashida and et al, “ Towards Developing a Framework to Analyze the Qualities of the UniversityWebsites”, Computers, Vol 10,57, pp.1-16, 2021.
    Crossref
  6. A. Islam, K. Tsuji, “Evaluation of Usage of University Websites in Bangladesh”, DESIDOC Journal of Library & Information Technology, Vol. 31, No. 6, pp. 469-479, 2011.
    Crossref
  7. L. Hasan, E. Abuelrub,” Assessing the quality of web sites”, Applied Computing and Informatics, Vol 9, pp.11–29, 2011.
    Crossref
  8. S. Kaur, K. Kaur, P.Kaur, “ An Empirical Performance Evaluation of Universities Website”, International Journal of Computer Applications ,Vol 146 , No.15, pp.10-16, 2016.
    Crossref
  9. N. Kumar, S. Kumar, R. Rajak, “Website Performance Analysis and Evaluation using Automated Tools”, in 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT) , IEEE, pp. 210-214, 2021.
    Crossref
  10. A. Botchkarev, “Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology”, arXiv preprint arXiv:1809.03006, 2018.
    Crossref
  11. D. Chicco, M. J. Warrens, and G. Jurman, “ The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation”, PeerJ Comput. Sci., Vol:7, 2021.
    Crossref
  12. D. Christie, S. P. Neil, “ easuring and Observing the Ocean Renewable Energy Resource”, Comprehensive Renewable Energy , Elsevier, Vol:2, pp. 149-175, 2022.
    Crossref

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