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What is the main purpose of pruning in Decision Trees?
Practice Questions
Q1
What is the main purpose of pruning in Decision Trees?
To increase the depth of the tree
To reduce the size of the tree and prevent overfitting
To improve the interpretability of the tree
To enhance the training speed
Questions & Step-by-Step Solutions
What is the main purpose of pruning in Decision Trees?
Steps
Concepts
Step 1: Understand what a Decision Tree is. It is a model used for making decisions based on data.
Step 2: Learn that a Decision Tree can become very large and complex, which may lead to overfitting.
Step 3: Overfitting means the tree is too tailored to the training data and may not perform well on new, unseen data.
Step 4: Pruning is the process of trimming the tree to make it smaller and simpler.
Step 5: By pruning, we remove parts of the tree that do not provide significant information.
Step 6: The main purpose of pruning is to improve the model's ability to generalize, or perform well on new data.
No concepts available.
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