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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Prediction and Improving Academic Performance of Students Using Various Classification Techniques |
| Authors Name: | Yuwaraj Khadke , Dr. Dharmendra Choukse |
| Unique Id: | IJSDR2306219 |
| Published In: | Volume 8 Issue 6, June-2023 |
| Abstract: | One of the ultimate goals of the learning process is the success of student learning. Using data and students' achievement with machine learning to predict the success of student learning will be a crucial contribution to everyone involved in determining appropriate strategies to help students’ performance. Data mining combines machine learning, statistics and visualization techniques to discover and extract knowledge from large database. One of the biggest challenge that in technical education faces is to improve students’ performance. This study found that the classification machine learning algorithm was most often used in predicting the success of students' learning. Four algorithms that were used most often to predict the success of students' learning are KNN, Naive Bayes, SVM and Decision Tree. |
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| Cite Article: | "Prediction and Improving Academic Performance of Students Using Various Classification Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1635 - 1639, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306219.pdf |
| Downloads: | 000337350 |
| Publication Details: | Published Paper ID: IJSDR2306219 Registration ID:207444 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: 1635 - 1639 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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