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Related Questions
- What is the relationship between the number of samples and the computational cost of uncertainty sampling in a random forest?
- How does the choice of sampling method (e.g. entropy, margin, or variance) impact the trade-off between computational cost and sampling efficiency in a random forest?
- Can you provide an example of how query-by-committee methods can be used to improve sampling efficiency in a random forest while increasing computational cost?
- In what scenarios would you use uncertainty sampling versus query-by-committee methods in a random forest, and why?
- How does the size of the ensemble (i.e. number of trees) in a random forest impact the trade-off between computational cost and sampling efficiency?
- Can you discuss the role of hyperparameter tuning in balancing computational cost and sampling efficiency in a random forest?
- What are some common pitfalls to avoid when implementing uncertainty sampling or query-by-committee methods in a random forest to minimize the trade-off between computational cost and sampling efficiency?
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