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Student Performance

Model Comparison Studio

Comparing 7 regression models with full EDA, correlation analysis, and live prediction

Scikit-learn Chart.js Python Machine Learning EDA

📋 Dataset Overview

Exploring the Student Performance dataset — demographics, exam scores, and feature distributions.

📄 Raw Data Preview

🔍 Exploratory Data Analysis

Deep dive into score distributions, correlations, and categorical impacts.

Math Score Distribution

Reading Score Distribution

Writing Score Distribution

Average Score Distribution

Feature Correlation Heatmap

💡 Reading and Writing scores show the highest correlation, indicating strong interdependence between verbal skills.

Score Breakdown by Category

Feature Relationship Analysis

🤖 Model Training & Comparison

7 regression models trained and evaluated on student exam score prediction.

📊 Performance Metrics

Model R² Score MAE RMSE MSE CV Mean R²

🎯 Live Prediction

Input student demographics and predict exam scores in real-time using Linear Regression.

📝 Student Profile

🏆 Model Leaderboard

Final rankings — which model wins across all targets?

🎯 Top 3 Models — Radar Comparison