What type of data is best suited for Decision Trees?

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Question: What type of data is best suited for Decision Trees?

Options:

Correct Answer: Categorical and numerical data

Solution:

Decision Trees can handle both categorical and numerical data effectively.

What type of data is best suited for Decision Trees?

What type of data is best suited for Decision Trees?

Step 1: Understand what Decision Trees are. They are a type of model used for making decisions based on data.
Step 2: Identify the types of data. There are two main types: categorical data (like colors or types) and numerical data (like age or height).
Step 3: Recognize that Decision Trees can work with both types of data. They can split data based on categories or numerical values.
Step 4: Conclude that both categorical and numerical data are suitable for Decision Trees.

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