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Which of the following is a disadvantage of using too many features in a model?

Practice Questions

Q1
Which of the following is a disadvantage of using too many features in a model?
  1. Increased interpretability
  2. Higher computational cost
  3. Better model performance
  4. Reduced risk of overfitting

Questions & Step-by-Step Solutions

Which of the following is a disadvantage of using too many features in a model?
  • Step 1: Understand what features are in a model. Features are the different pieces of information used to make predictions.
  • Step 2: Recognize that using many features can make the model more complex.
  • Step 3: Realize that a complex model can take more time and resources to run, which means higher computational costs.
  • Step 4: Learn about overfitting, which happens when a model learns too much from the training data, including noise and outliers.
  • Step 5: Understand that overfitting makes the model perform poorly on new, unseen data because it is too tailored to the training data.
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