Random Forest approach optimized by the Grid Search process for predicting the dropout students-Reference-Cited by-同舟云学术

Random Forest approach optimized by the Grid Search process for predicting the dropout students

Published:2024-06-07 Issue: Volume:8 Page:1-6
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Container-title:2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET)
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Author:

Kumar Devendra¹,Kothiyal Arnav²,Kumar Raj³,Hemantha C⁴,Maranan Ramya⁵

Affiliation:

1. GLA University,Department of Electronics and Communication Engineering,Mathura,Uttar Pradesh,India,281406

2. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

3. Swami Keshvanand Institute of Technology Management & Gramothan,Department of Mechanical Engineering,Jaipur,Rajasthan,India,302017

4. BGS Institute of Technology, BG Nagar,Department of Mechanical Engineering,Mandya,Karnataka,India,571448

5. Saveetha School of Engineering SIMATS,Department of Research and Innovation,Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

Reference15 articles.

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4. Developing webbased support systems for predicting poor-performing students using educational data mining techniques;Sokkheyand;Studies,2020