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What does XGBoost stand for?
Which concept is related to Gradient Boosting Machines (GBMs)?
What does the ‘gradient’ in Gradient Boosting refer to?
What technique does XGBoost use to prevent overfitting?
What does XGBoost have a built-in method to handle?
Which algorithm is known for providing highly accurate models quickly?
What does the F1-Score measure in classification models?
Which boosting algorithm grows plants in a vertical fashion?
What is one of the advantages of XGBoost over other algorithms?
What is a limitation of XGBoost in terms of computational resources?
Which feature does XGBoost have a built-in routine to handle?
What is the main strength of XGBoost in terms of model performance?
Which algorithm is known for being a heavyweight champion in machine learning?
What is one of the challenges of using XGBoost?
How does XGBoost improve the efficiency of model training?
What is a key feature of XGBoost that helps with large datasets?
In XGBoost, what role does the ‘learning rate’ parameter play?
Which of the following is a common application of XGBoost?
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