Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- Can feature importance plots be misleading if the model is non-linear or has interactions between features?
- How do partial dependence plots account for correlations between features?
- Can feature importance and partial dependence plots be used to evaluate fairness in models with high-dimensional feature spaces?
- Are there any known limitations of using feature importance and partial dependence plots to evaluate the impact of feature engineering on model fairness?
- Can these methods be used to identify bias in models that use categorical variables with a large number of categories?
- How do feature importance and partial dependence plots handle missing values in the data?
- Can these methods be used to evaluate fairness in models that use non-standard or custom features, such as embeddings or word vectors?
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