Credit Model Dashboard

Model Performance Over Time
Monthly accuracy, precision, and recall metrics for the credit scoring model.
System Health Overview
Real-time status of key system components.
  • API Uptime
    99.98%
  • Average API Latency
    75ms
  • Error Rate
    0.05%
  • Database Connections
    85/100
Model Retraining Triggers
Conditions that may initiate automated model retraining.

Performance Degradation

If model accuracy drops below 80% for 3 consecutive days.

Data Drift Detected

Significant shift in input data distribution (e.g., average income changes by >15%).

Scheduled Retraining

Automatic retraining every 90 days with the latest available data.

AI-Powered Risk Factor Analysis
Paste historical loan data in CSV format to identify key risk factors and get policy recommendations. Ensure CSV has headers like 'Age,Income,LoanAmount,DefaultStatus', etc.