Which technique can help prevent overfitting in supervised learning?

Practice Questions

1 question
Q1
Which technique can help prevent overfitting in supervised learning?
  1. Increasing the number of features
  2. Using a more complex model
  3. Applying regularization
  4. Reducing the size of the training dataset

Questions & Step-by-step Solutions

1 item
Q
Q: Which technique can help prevent overfitting in supervised learning?
Solution: Applying regularization techniques can help prevent overfitting by penalizing overly complex models.
Steps: 0

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