Data Preprocessing Questions
Data imputation using Bayesian networks is a technique used in data preprocessing to fill in missing values in a dataset. It involves using the probabilistic relationships between variables in a Bayesian network to estimate the missing values based on the observed data. By considering the dependencies between variables, Bayesian networks can provide more accurate imputations compared to other methods. The imputed values are determined by calculating the conditional probabilities of the missing values given the observed values and the network structure.