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examples/benchmarks/CatBoost/README.md
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examples/benchmarks/CatBoost/README.md
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# CatBoost
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* Code: [https://github.com/catboost/catboost](https://github.com/catboost/catboost)
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* Paper: CatBoost: unbiased boosting with categorical features. [https://proceedings.neurips.cc/paper/2018/file/14491b756b3a51daac41c24863285549-Paper.pdf](https://proceedings.neurips.cc/paper/2018/file/14491b756b3a51daac41c24863285549-Paper.pdf).
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examples/benchmarks/LightGBM/README.md
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examples/benchmarks/LightGBM/README.md
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# LightGBM
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* Code: [https://github.com/microsoft/LightGBM](https://github.com/microsoft/LightGBM)
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* Paper: LightGBM: A Highly Efficient Gradient Boosting
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Decision Tree. [https://proceedings.neurips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf](https://proceedings.neurips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf).
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examples/benchmarks/XGBoost/README.md
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examples/benchmarks/XGBoost/README.md
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# XGBoost
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* Code: [https://github.com/dmlc/xgboost](https://github.com/dmlc/xgboost)
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* Paper: XGBoost: A Scalable Tree Boosting System. [https://dl.acm.org/doi/pdf/10.1145/2939672.2939785](https://dl.acm.org/doi/pdf/10.1145/2939672.2939785).
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