Which of the following is a better approach in dealing with null values and why?
- Fill the null values with the mode (most occurring value).
- Consider the null itself as a category by converting it to a string.
- Remove the records with the null value.
- Predict it using another non-null columns.
Edit P.S: I am work with the following dataset https://data.ontario.ca/dataset/confirmed-positive-cases-of-covid-19-in-ontario
It is about the covid-19 cases in Ontario. In this dataset a string categorical column named "Case_AcquisitionInfo". It has some values with string "MISSING INFORMATION" so should I consider this null or consider this as a category.