1.2 Key Features of the System
- Automated Anomaly Detection: The system automatically flags suspicious login attempts and payment activities.
- Customizable Model Settings: Users can define and adjust various model parameters, including sensitivity, error metrics, and data sources.
- Real-time Monitoring: The system enables continuous tracking and drift detection to ensure model effectiveness over time.
- Debugging and Logging: Provides detailed logs for troubleshooting.
- User-Friendly Interface: Simplifies model setup, evaluation, and maintenance through intuitive screens and action buttons.
Parent topic: Introduction