What is the main purpose of pruning in Decision Trees?

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Question: What is the main purpose of pruning in Decision Trees?

Options:

Correct Answer: To reduce the size of the tree and prevent overfitting

Solution:

Pruning is used to reduce the size of the tree and prevent overfitting, leading to better generalization on unseen data.

What is the main purpose of pruning in Decision Trees?

What is the main purpose of pruning in Decision Trees?

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.

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