寻找学生最佳学习地点的机器学习方法:家庭与旅馆

Jarin Nooder, Ashrarfi Mahbuba, Shayla Sharmin, Nazmun Nessa Moon, Lamisha Haque Poushy, Salauddin Ahmed Bhuiyan, Samia Nawshin
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引用次数: 0

摘要

学生是国家的脊梁。必须为他们提供适当的学习环境。在所有这些标准中,您可以为您的需求找到适当设置的位置是最重要的。这项研究的目的是找出与父母和宿舍住在一起的学生的最佳学习环境。本研究还探讨了学生的生活和学业机会等问题。采用适应性问卷对来自不同学院、研究所的400名学生和刚毕业的学生的回答进行了评估。根据调查的结果,学生们选择在家里生活和学习,因为这样既健康又方便。使用了各种算法技术,但物流回归算法是本研究的关键偏好,因为它具有最高的准确性得分。由此得出的结论是,学生选择呆在家里。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Approach to Find Students' Best Place to Study: Home vs Hostel
Students are a country's backbone. The appropriate surroundings for studying must be provided for them. Of all these criteria, a place where you may locate the appropriate setting for your requirements is the most important. The purpose of the study is to identify the best environment to study among students living with parents and hostels. This research also explores issues such as the life and academic chances of students. Adapted questionnaires were utilized to evaluate the responses of 400 students from different colleges, institutes, and students freshly graduated. According to the findings of the survey, students choose to live and study at home because it is healthy and convenient. A variety of algorithm techniques are used, but the Logistics Regression algorithm was the key preference for this study because it had the highest accuracy score. This leads to the conclusion that students opt to stay at home.
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