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Related Questions
- How does stratified sampling compare to random sampling in terms of representativeness of the dataset?
- What are the potential biases introduced when selecting samples based on specific criteria, and how can they be mitigated?
- Can you explain the concept of sampling bias and its impact on the accuracy of machine learning models?
- What are the advantages and disadvantages of using data quality-based sampling versus feature relevance-based sampling?
- How does the choice of sampling method affect the generalizability of the model to unseen data?
- Can you discuss the trade-off between sample size and sample quality in the context of machine learning?
- What are some common pitfalls to avoid when designing a sampling strategy for a machine learning project?
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