Evaluation of Athletic Events of Olympic History for 100 Years Using Ranking Algorithm

Authors

  • Lalitha C Dept. of Computer Science, C.T.T.E College for Women,Chennai, India
  • Arulselvarani S Dept. of Computer Science, Stet Women’s College, Mannargudi, India

Keywords:

Classification, data mining tool, machine learning, Ranking, WEKA, ZeroR

Abstract

This paper investigates the result of athletic games of Olympic history for the past 100 years. As a case study, we evaluate ZeroR classification machine algorithms on game datasets. Here we compare the dataset in ranking algorithms in order to determine the results like leading city and the winner of the game. In this paper, we used machine learning data mining tool WEKA for different analysis. We have provided an evaluation based on applying these classification methods on our datasets and measuring the accuracy of test results.

References

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Published

2025-11-25

How to Cite

[1]
C. Lalitha and S. Arulselvarani, “Evaluation of Athletic Events of Olympic History for 100 Years Using Ranking Algorithm”, Int. J. Comp. Sci. Eng., vol. 7, no. 5, pp. 156–160, Nov. 2025.

Issue

Vol. 7 No. 5 (2019): IJCSE Special Issue Mar Edition

Section

Research Article

License

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