Explain the KNN imputation method.

1.	Explain the KNN imputation method.
Answer» A KNN (K-nearest neighbor) model is usually CONSIDERED one of the most common TECHNIQUES for IMPUTATION. It allows a point in multidimensional space to be matched with its closest k neighbors. By using the distance function, TWO attribute values are compared. Using this APPROACH, the closest attribute values to the missing values are used to impute these missing values.

Discussion