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Which algorithm is typically used for both regression and classification tasks?

Practice Questions

Q1
Which algorithm is typically used for both regression and classification tasks?
  1. K-Nearest Neighbors
  2. Naive Bayes
  3. Random Forest
  4. Principal Component Analysis

Questions & Step-by-Step Solutions

Which algorithm is typically used for both regression and classification tasks?
  • Step 1: Understand what regression and classification tasks are.
  • Step 2: Know that regression tasks predict continuous values (like prices).
  • Step 3: Know that classification tasks predict categories (like spam or not spam).
  • Step 4: Learn about different algorithms used for these tasks.
  • Step 5: Identify that Random Forest is an algorithm that can handle both types of tasks.
  • Step 6: Conclude that Random Forest is versatile because it can be used for both regression and classification.
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