https://github.com/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.
https://github.com/cconsta1/sexest
archaeological-science datasets docker dockerfile forensic-anthropology lda lightgbm machine-learning open-science osteoarchaeology python reproducible-research streamlit streamlit-webapp xgboost
Last synced: 3 months ago
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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.
- Host: GitHub
- URL: https://github.com/cconsta1/sexest
- Owner: cconsta1
- License: apache-2.0
- Created: 2022-03-10T14:12:55.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2025-12-23T12:01:36.000Z (6 months ago)
- Last Synced: 2025-12-25T01:47:06.334Z (6 months ago)
- Topics: archaeological-science, datasets, docker, dockerfile, forensic-anthropology, lda, lightgbm, machine-learning, open-science, osteoarchaeology, python, reproducible-research, streamlit, streamlit-webapp, xgboost
- Language: Python
- Homepage: http://sexest.cyi.ac.cy/
- Size: 2.43 MB
- Stars: 11
- Watchers: 1
- Forks: 6
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE