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Which of the following techniques can help prevent overfitting in linear regression?

Practice Questions

1 question
Q1
Which of the following techniques can help prevent overfitting in linear regression?
  1. Increasing the number of features
  2. Using regularization techniques like Lasso or Ridge
  3. Decreasing the size of the training set
  4. Ignoring outliers

Questions & Step-by-step Solutions

1 item
Q
Q: Which of the following techniques can help prevent overfitting in linear regression?
Solution: Regularization techniques like Lasso or Ridge can help prevent overfitting by adding a penalty for larger coefficients.
Steps: 0

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