Question: Question 1 of 2 ( 3 ) For a machine learning algorithm prone to overfitting due to a large number of features, how does the

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For a machine learning algorithm prone to overfitting due to a large number of features, how does the algorithm's performance change as the dimensionality of the feature space increases?

Enhanced computational efficiency

Reduced overfitting

Improved generalization

Increased risk of overfitting

Question 1 of 2 (3) For a machine learning algorithm prone

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