Data Preprocessing Questions
Data imputation using genetic programming is a technique that involves using genetic programming algorithms to fill in missing or incomplete data values in a dataset. It is a form of data preprocessing that aims to improve the quality and completeness of the dataset before further analysis or modeling. Genetic programming algorithms use evolutionary principles to iteratively generate and refine potential solutions for imputing missing values based on the available data. This approach can be particularly useful when dealing with large datasets or complex patterns of missing data.