For time-series data, which variation of gradient boosting might be more appropriate?
- XGBoost
- AdaBoost
- LightGBM
- Random Forest
Time-series data often has specific characteristics, such as seasonality and trends. LightGBM is well-suited for such data as it can handle categorical features efficiently and is capable of capturing complex patterns, making it a strong choice for time-series forecasting.
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