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Library/ Machine Learning (Supervised + Unsupervised)/ Supervised Learning by Building/ S11 · Build: Model Comparison, Error Analysis & Interpretation

subtopic

Fairness check of the final classifier

10 min applied20 min research1 curated resources

Compare approval rate, Bad recall and false-positive rate by sex and age band (attributes excluded from the model, used only for audit). Concepts: Group fairness metrics; proxies Project A: Approval and error rates by sex and age band. Project B: Not applicable.

Builds on: E04 · Build: Target Analysis

Notes, key code, what to skip and 1 curated resources are inside the platform.Join the waitlist and we'll build you a roadmap that includes this topic only if your goal needs it.

Fairness check of the final classifier · 1x1labs.ai