• S.Deepika
• S. Divya Bharathi

Logistic Regression is commonly applied to all sort of tasks and any property of the input can be a feature. It involves a more probabilistic view of classification. This paper aims at analysing the student behaviour to check whether there is a malpractice or not on online examination by the environment of the student to ensure that they gain knowledge only through their hard work and not by cheating on examination. The testing environment of the student must be silent but due to pandemic, student education has come to become a question mark. Technologies have made sure that the education of students must continue even though there is pandemic going on. As a result of solving the situation, online examination is the solution. When the student attend exams on online sitting in their home. There are sounds that they can’t control like traffic, children playing. This analysis will help to check the student’s background noises that should be and should not be in the testing environment.

Logistic Regression, Analysis, Background Noises.

"BEHAVIOUR ANALYSIS OF STUDENTS IN ONLINE EXAMINATION USING MACHINE LEARING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.102-105, April-2021, Available :http://www.jetir.org/papers/JETIRER06026.pdf

"BEHAVIOUR ANALYSIS OF STUDENTS IN ONLINE EXAMINATION USING MACHINE LEARING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp102-105, April-2021, Available at : http://www.jetir.org/papers/JETIRER06026.pdf