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Related Questions
- What is cross-validation and how does it prevent overfitting in machine learning models?
- Can you explain the types of cross-validation techniques used in machine learning, such as k-fold cross-validation and leave-one-out cross-validation?
- How does cross-validation improve the generalizability of machine learning models to unseen data?
- What is the difference between cross-validation and model selection, and how are they used together?
- Can you discuss the importance of cross-validation in deep learning models, and how it is used to prevent overfitting?
- How can cross-validation be used to compare the performance of different machine learning models on a given dataset?
- What are some common pitfalls to avoid when using cross-validation, and how can they be mitigated?
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