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Related Questions
- Can encoding categorical variables using one-hot encoding or label encoding exacerbate overfitting, especially if the number of categories is large?
- How does the choice of encoding method for categorical variables impact the model's ability to generalize?
- In what scenarios might using numerical values for categorical variables lead to overfitting, and how can this be mitigated?
- Can the use of categorical variables with specific numerical values result in multicollinearity, which can contribute to overfitting?
- How does the number of unique values in a categorical variable affect the risk of overfitting when using numerical values?
- Can using categorical variables with numerical values lead to an increase in model complexity, which can result in overfitting?
- What are some strategies for handling categorical variables with specific numerical values to prevent overfitting in machine learning models?
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