Millions of people throughout the world suffer from CKD (Chronic Kidney Disease), which significantly affects the rates of mortality and morbidity.
To slow progression of the CKD while preventing respective complications, prompt identification and therapy are essential. Acknowledgement to the
improved measures of variables that can defined via predictive modelling, we are able to create a set of predictive models using different types of
machine learning algorithms. In fact, Classifiers based on machine learning algorithms have been studied thouroughly showing that they are the best
performance indicators which reveal that innovative logics and better machine learning models produce superior outcomes.