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What is the primary drawback of using one-hot encoding for high cardinality categorical variables in a machine learning model?
A
One-hot encoding always leads to underfitting.
B
It decreases the dimensionality of the dataset.
C
One-hot encoding has no impact on computational complexity.
D
It increases the dimensionality of the dataset, potentially causing increased computational complexity and issues with model performance, such as overfitting.
