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.
This tool helps osteoarchaeologists and forensic anthropologists estimate the biological sex of human remains. You input skeletal measurements from either the cranium or postcranial skeleton, and it outputs a sex prediction (male or female). It's designed for researchers and practitioners working with skeletal collections or forensic cases.
Use this if you need to quickly and reliably estimate biological sex from skeletal measurements using a web-based application.
Not ideal if you need to train custom machine learning models on new datasets or require highly specialized statistical analyses beyond sex estimation.
Stars
11
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 23, 2025
Commits (30d)
0
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