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Question 1 of 5
1. Question
What is boosting in machine learning?
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Question 2 of 5
2. Question
In Ada Boost, how are the weights of misclassified instances updated during each iteration?
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Question 3 of 5
3. Question
what is the key idea behind gradient boosting?
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Question 4 of 5
4. Question
What is a characteristic feature of XGBoost that distinguishes it from traditional gradient boosting algorithms?
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Question 5 of 5
5. Question
Which hyperparameter in boosting algorithms controls the contribution of each weak learner to the final prediction?
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