What is an appropriate way to handle missing values in a column when the missing values exceed 50 (of a descriptive feature) and the dataset is limited when building a machine learning model a Impute the missing values using the mean or median of the column b Impute the missing values using a model c Impute the missing values using the mode of the column d Remove the column entirely from the dataset

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Question: What is an appropriate way to handle missing values in a column when the missing values exceed 50% (of a descriptive feature) and the dataset

What is an appropriate way to handle missing values in a column when the missing values exceed 50% (of a descriptive feature) and the dataset is limited when building a machine-learning model?

Impute the missing values using the mean or median of the column

Impute the missing values using a model

Impute the missing values using the mode of the column

Remove the column entirely from the dataset.

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