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What is Label Encoding used for in machine learning?
Which of the following best describes the process of Label Encoding?
When should you use Label Encoding?
What is an important caution to keep in mind when using Label Encoding?
Which method should be considered for high cardinality categories instead of Label Encoding?
What is the main difference between Label Encoding and One-Hot Encoding?
In which real-world scenario can Label Encoding be applied effectively?
What should you consider before applying Label Encoding to your data?
Which machine learning models are tree-based and suitable for Label Encoding?
What is the purpose of Label Encoding in machine learning?
How does Label Encoding handle ordinal data compared to nominal data?
What is a potential issue when using Label Encoding on nominal data?
What is an advantage of using Label Encoding over One-Hot Encoding?
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