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What is a potential drawback of using a single Decision Tree?
Practice Questions
Q1
What is a potential drawback of using a single Decision Tree?
They are very fast to train.
They can easily handle large datasets.
They are prone to overfitting.
They require extensive preprocessing.
Questions & Step-by-Step Solutions
What is a potential drawback of using a single Decision Tree?
Steps
Concepts
Step 1: Understand what a Decision Tree is. It is a model that makes decisions based on asking a series of questions.
Step 2: Recognize that a single Decision Tree can become very detailed and complex.
Step 3: Know that when a Decision Tree is too complex, it can fit the training data very well but may not perform well on new, unseen data.
Step 4: This issue is called 'overfitting.' It means the model learns the noise in the training data instead of the actual patterns.
Step 5: Conclude that a potential drawback of using a single Decision Tree is that it can overfit, leading to poor predictions on new data.
No concepts available.
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