MLOps & Data Pipelines
Data Drift Demo
Change feature distribution and watch model metrics degrade until retraining is required.
Prompt: Move drift sliders
Scenario preset
Accuracy
83.5%
Precision
78.5%
Recall
75.5%
Model health verdict
Model still stable
Experience progression
1.Entered model health monitoring.
2.Interacted with distribution shift controls.
3.Understood drift impact on key quality metrics.
4.Perceived depth in continuous model governance.