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What is a potential drawback of using too many features in a model?

Practice Questions

Q1
What is a potential drawback of using too many features in a model?
  1. Overfitting
  2. Underfitting
  3. Increased accuracy
  4. Faster training time

Questions & Step-by-Step Solutions

What is a potential drawback of using too many features in a model?
  • Step 1: Understand what features are. Features are the inputs or variables used in a model to make predictions.
  • Step 2: Recognize that having many features can make a model complex.
  • Step 3: Know that a complex model can fit the training data very well, including any random noise.
  • Step 4: Realize that when a model learns noise, it may not perform well on new, unseen data.
  • Step 5: This situation is called overfitting, where the model is too tailored to the training data.
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