Model Performance Monitoring System

[ShaikArshidBanu]

Description Implement a system to continuously monitor the performance of deployed machine learning models and alert administrators of any significant changes or degradations in performance.

Motivation Ensuring the continuous accuracy and reliability of our models is crucial for maintaining the quality of our service. By monitoring performance metrics and alerting administrators of significant changes, we can promptly address issues and maintain model integrity.

Key Metrics to Monitor

• Accuracy
• Precision
• Recall
• F1-score
• AUC-ROC
• RMSE
• MAE

Expected Outcome

• A robust system to track and visualize model performance.
• Immediate alerts to administrators when performance degrades beyond acceptable thresholds.
• Historical performance data for analysis and improvement.

• @sanjay-kv I would love to work on this issue can you please assign this to me under GSSOC'24 label.

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