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Given all the other bagging and boosting algorithms, when should I prefer XGBoost over others?

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closed as too broad by Ben Reiniger, Dawny33 Oct 10 at 2:34

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

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    $\begingroup$ Welcome to DS StackExchange. Please elaborate more your questions. The question as of now is too broad and its quality poor. Spend more time in making it more readable and useful for other users. $\endgroup$ – Leevo Sep 9 at 18:46
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Easy to implement via the sklearn.wrapper , a good success record in Kaggle winning solutions and consequently a considerable amount of notebooks using XGBoost to learn from. It also has a very comprehensive documentation

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  • $\begingroup$ This is why to prefer it, not when. But perhaps that just means your answer is "most of the time / always"? $\endgroup$ – Ben Reiniger Oct 9 at 22:33
  • $\begingroup$ Its a matter of accessibility, i answered the question based on my own experience, so yes most of the time xgboost > other boosting algorithms. $\endgroup$ – Blenz Oct 10 at 8:54

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