ONCS: Experimental Design to Predict Students Electronic Gadget Addiction Using Optimized Neural Classification Scheme

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Screenshot of ONCS: Experimental Design to Predict Students Electronic Gadget Addiction Using Optimized Neural Classification Scheme

Technologies Used

Python
Machine Learning
SVM
RF
ONCS
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Project Overview & Abstract

This project is an interactive desktop app that predicts student gadget addiction by comparing various machine learning models, featuring a primary Optimized Neural Classification Scheme (ONCS). It serves as a user-friendly experimental tool for researchers and educators to analyze predictive factors and evaluate algorithm performance.