Boosting algorithms have become one of the most powerful algorithms for training on structural (tabular) data. The three most famous boosting algorithm implementations that have provided various recipes for winning ML competitions are: In this article, we will primarily focus on CatBoost, how it fares against other algorithms and when you should choose it over […]
The post When to Choose CatBoost Over XGBoost or LightGBM [Practical Guide] appeared first on neptune.ai.
from Planet SciPy
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