| Library | Strengths | Weaknesses |
|---|---|---|
| XGBoost | Highly customizable, GPU support, mature | Slower than LGBM on large data |
| LightGBM | Extremely fast, memory-efficient | Less accurate with small data |
| CatBoost | Best for categorical features, low tuning | Slower training, high RAM use |
Created
November 1, 2025 13:33
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Summary Table: Boosting Libraries
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