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Answer: Both creating sparse datasets and reducing split options for categorical variables
One-hot encoding can lead to two main issues when used with tree-based models: it can create sparse datasets, which may degrade model performance, and it can limit the number of split options available for categorical variables by increasing dimensionality. Both of these issues are valid concerns that can affect the efficiency and effectiveness of tree-based models.
Author: LeetQuiz Editorial Team
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What challenges might one-hot encoding (OHE) introduce when applied to tree-based models?
A
Creating sparse datasets
B
No issues arise from using OHE with tree-based models
C
Reducing the split options for categorical variables
D
Both creating sparse datasets and reducing split options for categorical variables
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