🎓 Student Performance Prediction (Machine Learning in R)

🧠 Overview

This project predicts whether a student will pass or fail based on their academic performance and extracurricular activity data.
It uses R language with multiple ML models (Logistic Regression and Random Forest) and evaluates their performance using accuracy, confusion matrix, and ROC/AUC metrics.

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📂 Dataset

###Example Data Set Columns:

Feature	Description
Math_Score	Math subject score
Reading_Score	Reading subject score
Writing_Score	Writing subject score
Placement_Score	Placement test score
Club_Join_Date	Year student joined a club
Pass_Fail	Target variable (pass or fail)