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.

適用於表格資料和結構化資料集的行業標準梯度增強庫。 XGBoost 和 LightGBM 擅長表格、CSV 和資料庫的分類和迴歸任務。當處理表格機器學習、梯度提升樹、Kaggle 競賽、特徵重要性分析、超參數調整時，或當您需要結構化資料的最先進效能時，請使用。 來源：tondevrel/scientific-agent-skills。

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