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Related Questions
- What are some examples of real-world problems where random forests are used for classification tasks?
- Can random forests be used for regression tasks, and if so, what are some common applications?
- How do random forests compare to other machine learning algorithms, such as neural networks, in terms of performance and interpretability?
- What are some common techniques for tuning the hyperparameters of a random forest model?
- Can random forests be used for imbalanced datasets, and if so, what are some strategies for handling class imbalance?
- How do random forests handle missing values in the data, and what are some strategies for dealing with missing data?
- What are some common applications of random forests in the field of computer vision?
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