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Title

Machine Learning Approach to Find Students' Best Place to Study: Home vs Hostel

Author

Jarin Nooder, Ashrarfi Mahbuba, Lamisha Haque Poushy, Nazmun Nessa Moon, Salauddin Ahmed Bhuiyan, Samia Nawshin, Shayla Sharmin,

Email

Abstract

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.

Keywords

Natural language processing , Detection approach , Accuracy rate , Naive Bayes , Text chunk approach

Journal or Conference Name

2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)

Publication Year

2021

Indexing

scopus