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
- What are the common pitfalls to avoid when using cross-validation to evaluate model performance?
- How can I choose the optimal number of folds for cross-validation in my dataset?
- What is the difference between stratified and non-stratified cross-validation, and when should I use each?
- Can I use cross-validation to evaluate the performance of a model on a test set, or is it only for model selection?
- How can I use cross-validation to estimate the generalization error of a model on unseen data?
- What are some common metrics to use when evaluating model performance using cross-validation?
- How can I handle class imbalance in my dataset when using cross-validation to evaluate model performance?
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