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Add support for diabetes dataset
- #58
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Add support for diabetes dataset
#58
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Commits on Nov 13, 2025
Add support for Diabetes dataset
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Add Balanced Random Forest selection as separate model
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Minor xgb fix for results compatibility
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Update tests with Diabetes dataset and unlock models testing
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Fix for config independent tests
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Update github actions to meet latest github system changes
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Commits on Feb 3, 2026
Add AUROC calculation and switch to predict_proba in models
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Improve Random Forest hyperparameters
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Minor changes with report generation
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Move to one commonm federated preprocessing function for public datasets.
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Add scripts for automated benchmarking
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Add notebook for results visualisation.
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Commits on Feb 4, 2026
Fix for AUROC in LSVC models since they do not output probabilites
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Add much faster tests with lower config parameters
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Add tree number parameter in config for RF
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Update preprocessing aggregation method in config
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Remove legacy dataset preparation function
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Commits on Feb 5, 2026
Add minimum num of samples in dirichlet partitioning
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Add threshold fine tuning on validation set for all models
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Fix missing metrics from XGBoost model in distributed fit
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Commits on Feb 9, 2026
Fix xgb training with device argument
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Add usage of seed from config for reproducibility
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Commits on Feb 10, 2026
Update benchmarking parameters
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Rename old XGBoost implementation to xgblr
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Rename old XGBoost implementation to xgblr tests
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Update gitignore
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Commits on Feb 23, 2026
Add new XGBoost with correct aggregation and modified Eta mechanism from NVFLARE
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Updates to metrics and linear models
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Commits on Apr 2, 2026
Add fairness metrics computation
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