Data Preprocessing Questions
Data imputation using regression is a technique used in data preprocessing to fill in missing values in a dataset by predicting the missing values based on the relationship between the target variable and other variables in the dataset. It involves using regression analysis to estimate the missing values by fitting a regression model on the observed data and then using this model to predict the missing values. This method is particularly useful when the missing values are related to other variables in the dataset and can help to preserve the overall structure and relationships within the data.