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Among the options, the most appropriate simple statistic to monitor for categorical feature drift is mode.
The others aren't right due to the below reasons:
Number of unique values - while useful for understanding the diversity of categories, it does not directory indicate drive unless the number of categories changes significantly.
Percentage of missing values - while important for data quality, it does not directly indicate drift in the distribution of categorical values.
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