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The silent killer Chronic Kidney Disease (CKD) in wealthy countries and listed with the leading causes of death in impoverished countries. Because of its rising incidence, CKD is included in the most serious public health problems. It is apparent that early detection of CKD may reduce the severity of damage in maturity. The patient must go to a diagnostic facility and consult with a doctor. This significant issue has been solved with the introduction of machine learning. This study’s main objective is to build a model that can reliably predict a person’s risk of acquiring CKD. Data mining and machine learning techniques have been widely employed for forecasting chronic renal disease, but little research has been done mixing imputation approaches at the pre-processing stage and feature selection strategy so that classification accuracy will be enhanced. The CKD Database, which is used in the experiments and consists …