GitHub - TonyTran03/distinguishable_data: Evaluation pipeline for synthetic biomedical tabular data, focusing on classifier distinguishability, feature-level discrepancies, structural preservation, noise sensitivity, and ablation-based failure analysis.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 60 Commits
data_synthesis		data_synthesis
randomForest_HIV_vaccine-main		randomForest_HIV_vaccine-main
.gitignore		.gitignore
auc_all_datasets_v2.png		auc_all_datasets_v2.png
metrics_all_datasets_v1.png		metrics_all_datasets_v1.png
pca_rf_fig1.png		pca_rf_fig1.png
pyproject.toml		pyproject.toml
uv.lock		uv.lock

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Evaluation pipeline for synthetic biomedical tabular data, focusing on classifier distinguishability, feature-level discrepancies, structural preservation, noise sensitivity, and ablation-based failure analysis.