📊 Math Score Predictor
Predict student math performance based on their profile
Predicted Math Score
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ℹ️ How it works
This predictor uses machine learning trained on historical student data to estimate math scores based on student demographics, socioeconomic factors, and existing test scores. The prediction is an estimate and may vary from actual results.
🤖 Model Selection & Performance
To build this predictor, I tested multiple supervised learning algorithms including:
Linear Regression
Ridge Regression
Lasso Regression
Decision Tree
Random Forest
Gradient Boosting
AdaBoost
Support Vector Regression (SVR)
K-Neighbors
CatBoost
XGBRegressor
✨ Best Model Selected: Ridge Regression
R² Score: 0.8806
Ridge Regression provides the best balance between accuracy and generalization, making it ideal for predicting student math scores with high reliability.