What is XGBoost and what are its main parameters (with example)
13:09
YouTubeUp data science
What is XGBoost and what are its main parameters (with example)
In this tutorial, learn about xgboost, what's its difference with bagging algorithms, how to apply it and what are the main parameters. Xgboost is an ensemble method to combine set of weak learnes & improve accuracy, normally it is faster than other ensemble classifiers. Main parameters are: - Number of estimators: How many trees to build ...
2K viewsSep 16, 2020
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