The conversation between human and AI assistant.
How can I deal with missing values in a predictive model?
Are there any drawbacks to using imputation methods?
Yes, there are potential drawbacks to using imputation methods. For instance, they are based on assumptions about the underlying data structure, and if those assumptions are not accurate, imputed values can lead to biased results. Additionally, imputing missing data can increase the variance of the dataset, which can lead to overfitting of the model.