Top Machine Learning Questions and Answers for Exam Preparation

Explore top Machine Learning questions and answers to boost your exam preparation and enhance your understanding of key concepts.

Machine Learning Questions

Q. What is the main disadvantage of the k-nearest neighbors algorithm?

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Q. What is the purpose of batch size in neural networks?

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Q. Which technique reduces the dimensionality of data?

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Q. What is the role of activation functions in neural networks?

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Q. Which algorithm uses a tree-based approach for regression?

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Q. What is the purpose of a validation set?

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Q. Which technique is used to handle missing data?

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Q. What does the ROC curve represent?

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Q. Which algorithm is sensitive to outliers?

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Q. Which method is used to select the best features?

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