1. Which of the following statements isfalseregrading categorical input variables and cardinality?
a. Cardinality is the number of distinct levels in a categorical variable.
b. Categorical variables with high cardinality can lead to overfitting in a predictive model.
c. Calculating cardinality is an important exploratory tool before transforming the categorical input.
d. Categorical variables with a low cardinality ratio have more distinct levels than variables with a high cardinality ratio.
e. All are false.
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