What are decision tree algorithms?
An example of an AI chatbot conversation about decision tree algorithms in machine learning.
What are decision tree algorithms?
Decision tree algorithms are a type of supervised learning method used for classification and regression tasks.
How do they work?
They work by splitting the data into subsets based on the value of input features, creating a tree-like model.
What are the advantages of using decision trees?
Some advantages include their simplicity, interpretability, and ability to handle both numerical and categorical data.
Are there any disadvantages?
Yes, they can be prone to overfitting and may not perform well on unseen data without proper pruning.
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