🛡️ Fraud Detection System

ℹ️ What to input: Enter exactly 20 numeric values (positive or negative) separated by commas

📊 Feature explanation: These values represent normalized transaction features from a machine learning model. They could represent:

• • Negative values: Features below average (e.g., unusual transaction amount, atypical merchant category)
• • Positive values: Features above average (e.g., regular spending patterns, trusted merchant)
• • Magnitude: Larger absolute values indicate stronger signals (more unusual or more normal)

💡 Tip: Click "Load Sample" to test with pre-filled features