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What is a limitation of Decision Trees?

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Question: What is a limitation of Decision Trees?

Options:

  1. They are very interpretable
  2. They can easily overfit the training data
  3. They handle both categorical and numerical data
  4. They require a lot of data to train

Correct Answer: They can easily overfit the training data

Solution: 

Decision Trees can easily overfit the training data, especially with complex trees.

What is a limitation of Decision Trees?

Practice Questions

Q1
What is a limitation of Decision Trees?
  1. They are very interpretable
  2. They can easily overfit the training data
  3. They handle both categorical and numerical data
  4. They require a lot of data to train

Questions & Step-by-Step Solutions

What is a limitation of Decision Trees?
  • Overfitting – Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern, leading to poor generalization on unseen data.
  • Complexity of Trees – Complex decision trees can capture intricate patterns but may also capture noise, making them less effective on new data.
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