xgboost-lightgbm

SKILL.md

XGBoost (eXtreme Gradient Boosting) and LightGBM (Light Gradient Boosting Machine) are the de facto standard libraries for machine learning on tabular/structured data. They consistently win Kaggle competitions and are widely used in industry for their speed, accuracy, and robustness.

XGBoost Official: https://xgboost.readthedocs.io/ XGBoost GitHub: https://github.com/dmlc/xgboost LightGBM Official: https://lightgbm.readthedocs.io/ LightGBM GitHub: https://github.com/microsoft/LightGBM Search patterns: xgboost.XGBClassifier, lightgbm.LGBMRegressor, xgboost.train, lightgbm.cv

Gradient Boosting Trees Both libraries build an ensemble of decision trees sequentially, where each new tree corrects errors from previous trees. This creates highly accurate models that capture complex non-linear patterns.

适用于表格数据和结构化数据集的行业标准梯度增强库。 XGBoost 和 LightGBM 擅长表、CSV 和数据库的分类和回归任务。当处理表格机器学习、梯度提升树、Kaggle 竞赛、特征重要性分析、超参数调整时，或者当您需要结构化数据的最先进性能时，请使用。 来源：tondevrel/scientific-agent-skills。

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