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What is a potential drawback of using Decision Trees?
Practice Questions
Q1
What is a potential drawback of using Decision Trees?
They are very fast to train
They can easily overfit the training data
They require no feature selection
They are not interpretable
Questions & Step-by-Step Solutions
What is a potential drawback of using Decision Trees?
Steps
Concepts
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.
No concepts available.
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