Which algorithm can be used for both regression and classification tasks, and is particularly well-suited for dealing with large data sets and high-dimensional spaces?

  • Gradient Boosting
  • K-Means
  • Naive Bayes
  • Random Forest
Gradient Boosting is an algorithm that can be used for both regression and classification tasks. It's known for its robustness in handling large datasets and high-dimensional spaces, making it a versatile choice.
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