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Nov 3, 2022 - Python
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tree-based-models
Here are 5 public repositories matching this topic...
CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.
python machine-learning random-forest optimization python3 adaboost decision-tree binary-classification counterfactual-explanations algorithmic-recourse tree-based-models
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Jan 16, 2024 - Python
Comprehensive benchmark study of feature selection techniques for predictive machine learning models on tabular data. Various feature selection methods are evaluated across different data characteristics and predictive scenarios.
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Sep 14, 2025 - Python
Orbit Boost is a research-oriented gradient boosting library built from scratch in Python, designed as an experimental alternative to LightGBM, XGBoost, and CatBoost. It introduces oblique projections, BOSS sampling, Newton-style updates, and a ridge-based warm start for improved performance.
python machine-learning research deep-learning scikit-learn xgboost lightgbm boosting-algorithms gradient-boosting boosting catboost tree-based-models
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Oct 4, 2025 - Python
Streamlined toolkit for predicting human phenotypes from UK Biobank using tree-based ensembles and linear models. Load high-dimensional SNP and covariate data, select variants via Random Feature Selection to balance accuracy and runtime, and interpret genetic plus socio-demographic feature contributions with SHAP.
python machine-learning genomics data-visualization classification hyperparameter-tuning uk-biobank precision-medicine genotype-phenotype-map demographics-data tree-based-models sociodemographic
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Jul 1, 2025 - Python
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