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Related Questions
- What is the concept of partial dependence plots and how do they help in understanding feature importance in neural networks?
- How does the LIME (Local Interpretable Model-agnostic Explanations) technique work and what are its limitations?
- What is the difference between feature importance and feature relevance in the context of neural networks?
- Can you explain the SHAP (SHapley Additive exPlanations) values method for understanding feature importance in neural networks?
- What is the relationship between feature importance and the marginal contribution of each feature to the model's predictions?
- How can permutation feature importance be used to estimate the importance of individual neurons in a neural network?
- What are some common pitfalls to avoid when interpreting feature importance in neural networks, and how can they be addressed?
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