repoGitHubTrust 82 · PrimaryPublished yesterdayLive · 22h ago
cconsta1/SexEst
SexEst is an open-source Streamlit web application for predicting biological sex from skeletal measurements using machine learning (XGBoost, LightGBM, Linear Discriminant Analysis). The best-performing models achieved cross-validated accuracies of ~80–90% on the Goldman (postcranial) and Howells (cranial) datasets.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
