Missing data is a problem where there are empty values or incomplete values in the data. The University of California Irvine (UCI) Machine Learning Repository dataset that records chronic kidney disease patient data is one of the datasets that has a data loss problem. Lost data handling can be done by two methods, namely deletion and imputation. One of the deletion algorithms is ReliefF, while …