AI engineering glossary · Feature engineering data prep
What is mode imputation?
Mode imputation: Replacing missing values in a categorical column with its most frequent category. It is quick and keeps the data type, but can exaggerate the dominant category and hide missingness patterns.
Mode imputation: an example
If 70 percent of customers list 'Mumbai' and some rows are blank, those blanks become 'Mumbai'.
Related terms
More Feature engineering data prep terms
- Multiple imputation
- Mutual information
- Nominal variable
- One-hot encoding
- Ordinal encoding
- Ordinal variable
- Outlier treatment
- Oversampling
Where you learn it
Mode imputation is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.