Machine Learning Approaches of Social Media Addiction Among Bangladeshi Students

Abstract

Using excessive use of social media can use many kinds of mental health issue. In my project work I was trying to build a machine learning project that can help students their social media addiction status. In my project I used about ten machine learning algorithms which is significant works with better accuracies. Logistic Regression accuracies accuracy come 85% and Random Forest accuracy level is 98%. Most of the feature’s value if textual. And I have this model can help student verry well. Even parents can understand or detect their children addiction status. So therefore, this research can help people and can contribute to the society very well.