XGBoost Interview Questions and Answers

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Discuss how XGBoost can handle highly imbalanced datasets.

answered Jul 11 in XGBoost by rajeshsharma

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How does the objective function affect the performance of the XGBoost model?

answered Jul 11 in XGBoost by rajeshsharma

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What is early stopping in XGBoost and how can it be implemented?

answered Jul 11 in XGBoost by rajeshsharma

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Discuss how to manage the trade-off between learning rate and n_estimators in XGBoost.

answered Jul 11 in XGBoost by rajeshsharma

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Explain the importance of the 'max_depth' parameter in XGBoost.

answered Jul 11 in XGBoost by rajeshsharma

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What are the core parameters in XGBoost that you often consider tuning?

answered Jul 11 in XGBoost by rajeshsharma

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Describe the role of shrinkage (learning rate) in XGBoost.

answered Jul 11 in XGBoost by rajeshsharma

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How does XGBoost use tree pruning and why is it important?

answered Jul 11 in XGBoost by rajeshsharma

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What are the loss functions used in XGBoost for regression and classification problems?

answered Jul 11 in XGBoost by rajeshsharma

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Explain the concept of gradient boosting. How does it work in the context of XGBoost?

answered Jul 10 in XGBoost by Robindeniel

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How does XGBoost differ from random forests?

answered Jul 10 in XGBoost by Robindeniel

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What is meant by 'regularization' in XGBoost and how does it help in preventing overfitting?

answered Jul 10 in XGBoost by Robindeniel

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How does XGBoost handle missing or null values in the dataset?

answered Jul 10 in XGBoost by Robindeniel

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Can you explain the differences between gradient boosting machines (GBM) and XGBoost?

answered Jul 10 in XGBoost by Robindeniel

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What is XGBoost and why is it considered an effective machine learning algorithm?

answered Jul 10 in XGBoost by Robindeniel

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