Data Cleaning for Missing Values

The following methods can be used to clean data for missing values in a particular attribute:

• Ignore the tuple
• Fill in the missing value manually
• Use a global constant to fill in the missing value
• Use the attribute mean to fill in the missing value
• Use the attribute mean for all samples belonging to the same class as the given tuple.
• Use the most probable value to fill in the missing value.

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