Jayati Mukherjee

Work place: Department of CSE, Noida International University, Noida, India

E-mail: jayati.uit93@gmail.com

Website: https://orcid.org/0000-0003-3433-8141

Research Interests: Computational Learning Theory, Pattern Recognition, Image Compression, Image Manipulation, Image Processing


Ms. Jayati Mukherjee, currently working as an Assistant Professor in Noida International University, has done her B.E. from the University of Burdwan, WB in 2015. She completed her M.Tech from BIT, Mesra in 2017. Currently she is pursuing her Ph.D. in Pattern Recognition from Visva-Bharati University. She has worked as a PLP in the Indian Statistical Institute. Her research interests include Machine Learning, Pattern Recognition and Image Processing. She has published in multiple national and international reputed journals and conferences. She has 2 patents in the IPO.

Author Articles
Analysis of Student’s Academic Performance based on their Time Spent on Extra-Curricular Activities using Machine Learning Techniques

By Neeta Sharma Shanmuganathan Appukutti Umang Garg Jayati Mukherjee Sneha Mishra

DOI: https://doi.org/10.5815/ijmecs.2023.01.04, Pub. Date: 8 Feb. 2023

The foundational tenet of any nation's prosperity, character, and progress is education. Thus, a lot of emphasis is laid on quality of education and education delivery system in India with current financial year (2022-23) education budget outlay of Rs. 1,04,277.72 crores. This research contributes in analyzing how students perform in academics depending upon the time spent on their extracurricular activities with the help of three Machine Learning prediction algorithms namely Decision Tree, Random Forest and KNN. Additionally, in order to comprehend the underlying causes of the shortcomings in each machine learning technique, comparisons of the prediction outcomes obtained by these various techniques are made. On our dataset, the Decision Tree outscored all other algorithms, achieving F1 84 and an accuracy of 85%. The research, which is at an introductory level, is meant to open the door for more complexes, specialised, and in-depth studies in the area of predicting the performance in academics.

[...] Read more.
Other Articles