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Related Questions
- How do feature importance scores help in understanding the decision-making process of a machine learning model?
- What are some common methods for calculating feature importance scores, and how do they differ?
- Can you provide an example of a scenario where feature importance scores would be particularly useful in model interpretation?
- How do feature importance scores relate to the concept of variable selection in machine learning?
- Are there any limitations or potential biases associated with using feature importance scores?
- Can feature importance scores be used to identify correlations between variables, or are they better suited for measuring direct contributions?
- How can feature importance scores be used to improve the performance of a machine learning model, and what are some potential pitfalls to watch out for?
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