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What is a key advantage of using Decision Trees for customer churn prediction?
What is a key advantage of using Decision Trees for customer churn prediction?
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What is a key advantage of using Decision Trees for customer churn prediction?
They require no data preprocessing
They provide clear decision rules
They are the fastest algorithms available
They can only handle numerical data
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Decision Trees provide clear decision rules that can help understand the factors leading to customer churn.
Questions & Step-by-step Solutions
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Q
Q: What is a key advantage of using Decision Trees for customer churn prediction?
Solution:
Decision Trees provide clear decision rules that can help understand the factors leading to customer churn.
Steps: 5
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Step 1: Understand what customer churn means. It refers to customers leaving a service or product.
Step 2: Learn about Decision Trees. They are a type of model that helps make decisions based on data.
Step 3: Recognize that Decision Trees create a visual representation of decisions. This makes it easy to see how decisions are made.
Step 4: Identify that Decision Trees provide clear rules. For example, if a customer has a low satisfaction score, they might be more likely to leave.
Step 5: Conclude that these clear rules help businesses understand why customers might churn, allowing them to take action to keep customers.
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