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What is the maximum depth of a Decision Tree?
Practice Questions
Q1
What is the maximum depth of a Decision Tree?
It is always fixed.
It can be controlled by hyperparameters.
It is determined by the number of features.
It is irrelevant to the model's performance.
Questions & Step-by-Step Solutions
What is the maximum depth of a Decision Tree?
Steps
Concepts
Step 1: Understand what a Decision Tree is. It is a model used for making decisions based on data.
Step 2: Learn about 'depth' in a Decision Tree. Depth refers to how many levels the tree has from the top to the bottom.
Step 3: Know that a deeper tree can make more complex decisions but may also overfit the data, meaning it might not perform well on new data.
Step 4: Realize that we can control the maximum depth of the tree using something called hyperparameters.
Step 5: Setting a maximum depth helps to prevent overfitting and makes the model simpler and more general.
No concepts available.
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