catboost原理介绍，与lightgbm和xgboost比较优劣？ - 知乎
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与 XGBoost 和 LightGBM 不同，CatBoost 构建对称（平衡）树。在每一步中，前一棵树的叶子都使用相同的条件进行拆分。选择损失最低的特征分割对并将其用于所有级别的节点。这种平衡的树结构有助于高效的 CPU 实现，减少预测时间，模型结构可作为正则化以防止过度拟合。
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