Sneha Mishra

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



Research Interests: Computer systems and computational processes, Computer Vision, Neural Networks, Computer Networks, Image Processing


Ms. Sneha Mishra serving as an Assistant Professor in Noida International University and pursuing her PhD from Galgotias University, Greater Noida. She has done her Bachelor’s degree in CSE from Rishi Institute of Engineering and Technology affiliated from U.P.T.U U.P, in 2012 and her M.Tech. From Amity University, Noida,U.P. in 2014. Her current research interests include image processing, neural networks and Computer Vision. She has five Patents in the IPO. She has various research papers in international journals.

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:, 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.

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