🏗️

The Feature Builder

Master Feature Engineering to Predict Student Success!

Welcome, Data Engineer! 🎯

You'll see student data: study hours, coffee cups, sleep hours, and more. Your mission? Create smart features that predict exam scores!

Sometimes "coffee per study hour" predicts better than just "coffee cups." This is feature engineering—finding the right lens to view data through!

📚
Raw Data
⚙️
Build Features
🎯
Predict Scores

Create Smart Features! ⚙️

Combine raw data to create predictive features

Student 1/5

Build Your Features (Choose up to 3)

Study Efficiency
Study Hours / Days Before Exam
Caffeine per Hour
Coffee Cups / Study Hours
Life Balance
Sleep Hours / Study Hours
Study Intensity
Study Hours × Coffee Cups
Cramming Index
Study Hours / (Days Before × Sleep)
Wellness Score
Sleep Hours - Coffee Cups
1/5
Students
0/3
Features
--
Best Correlation

🎉 Feature Engineering Complete!

Let's see which features predict best!

🏆 Feature Performance Ranking

Feature Correlations with Exam Scores

💡 What You Just Learned

Congratulations! You just performed feature engineering!

  • 🔧 Feature engineering creates new variables from existing data
  • 📊 Good features have high correlation with the target
  • 🎯 The right feature can be more predictive than raw data
  • ⚡ Ratios and interactions often reveal hidden patterns
  • 💼 This is crucial for machine learning success in business!