ML-11

Imbalanced Classification and Calibration Lab

Compare metrics, resampling, class weights, focal loss, Platt scaling, and isotonic calibration on multiple datasets.

• Status: planned
• Proof: code
• Tier: focused-exhibit
• Roles: ai-engineer, backend-engineer

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