Machine Learning Techniques to Improve the Results of Student Performance
SK Kaja Mohiddin1, P Satish Kumar2, S. Amrutha Mani Sai3, M. V. B. T Santhi4
1SK Kaja Mohiddin, Department of Computer Science Engineering, KLEF, Vaddeswaram (Andhra Pradesh), India.
2P.Satish Kumar, Department of Computer Science Engineering, KLEF, Vaddeswaram (Andhra Pradesh), India.
3S.Amrutha Mani Sai, Department of Computer Science Engineering, KLEF, Vaddeswaram (Andhra Pradesh), India.
4M.V. B. T Santhi, Associate Professor, Department of Computer Science Engineering, KLEF, Vaddeswaram (Andhra Pradesh), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 590-594 | Volume-8 Issue-5, March 2019 | Retrieval Number: D3248028419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Calculating the student performance is most widely done in many institutions. It is very important for every institution to collect the performance of the student based on marks secured. Previously classification and clustering also used to get the results. The dataset used in this paper is student dataset with all student details such as name, marks, address etc. In this paper various machine learning techniques are implemented and analysed the performance of the student. Results show the comparison of the proposed system.
Keyword: Student Performance, Educational Data Mining, Performance Prediction.
Scope of the Article: Machine Learning