What is a potential drawback of using Decision Trees?

Practice Questions

Q1
What is a potential drawback of using Decision Trees?
  1. They are very fast to train
  2. They can easily overfit the training data
  3. They require no feature selection
  4. They are not interpretable

Questions & Step-by-Step Solutions

What is a potential drawback of using Decision Trees?
  • Step 1: Understand what a Decision Tree is. It is a model used to make decisions based on data.
  • Step 2: Learn about overfitting. Overfitting happens when a model learns the training data too well, including its noise and outliers.
  • Step 3: Realize that Decision Trees can create very complex models that fit the training data perfectly.
  • Step 4: Know that if a Decision Tree is too complex, it may not perform well on new, unseen data.
  • Step 5: Understand that pruning is a technique used to simplify the tree and reduce overfitting.
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