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// docs/ML_METRICS.md

ML System Metrics

Overview

Add a brief overview of this document here.

Table of Contents

Performance Metrics

  • Model Training Time
  • Inference Latency
  • Memory Usage
  • GPU Utilization
  • Batch Processing Speed

System Health Metrics

  • CPU Usage
  • Memory Allocation
  • Network Bandwidth
  • Storage I/O
  • Thread Pool Utilization

Business Metrics

  • Transaction Success Rate
  • Model Accuracy
  • Prediction Confidence
  • Error Rates
  • User Activity

Agent Metrics

  • Agent Response Time
  • Message Processing Rate
  • Action Success Rate
  • State Synchronization Time
  • Resource Utilization

Validation Metrics

  • Data Quality Score
  • Model Drift Detection
  • System Stability Index
  • Privacy Compliance Score
  • Security Audit Results

Monitoring & Alerts

  • Real-time Performance Monitoring
  • Automated Alert System
  • Metric Visualization
  • Trend Analysis
  • Anomaly Detection

Last updated: 2025-06-02

See Also