What are some alternative methods for data imputation?
An example of an AI chatbot conversation about other data imputation methods.
What are some alternative methods for data imputation?
There are several methods for data imputation, including mean/mode imputation, k-nearest neighbors, and regression imputation.
Can you explain how k-nearest neighbors works for imputation?
Sure! K-nearest neighbors (KNN) imputation fills in missing values by looking at the 'k' closest data points and averaging their values.
What are the advantages of using regression imputation?
Regression imputation can provide more accurate estimates by using relationships between variables, but it assumes a linear relationship.
Are there any drawbacks to these methods?
Yes, each method has its drawbacks. For example, KNN can be computationally expensive, and regression imputation may introduce bias if the assumptions are violated.
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