Machine Learning Models

🎯 Single Model Prediction

Enter 30 feature values separated by commas (id, V1-V28, Amount)

🤝 Ensemble Model Prediction

Feature Input Helper

Sample Transaction Features:

Feature Description:

  • id: Unique identifier for each transaction
  • V1-V28: Anonymized features representing various transaction attributes (e.g., time, location, etc.)
  • Amount: The transaction amount
  • Class: Binary label indicating whether the transaction is fraudulent (1) or not (0)