Classification & Comparison of Kidney Disease with Various Classifiers

Here, we will classify kidney disease and compare the accuracies of the various classifiers like Bayesian, fine tree, fine gaussian SVM, and fine KNN. Kidney disease means your kidneys are damaged and can’t filter blood the way they should. You are at greater risk for kidney disease if you have diabetes or high blood pressure. 

If you experience kidney failure, treatments include kidney transplants or dialysis. Other kidney problems include acute kidney injury, kidney cysts, kidney stones, and kidney infections. In this work, the abnormal kidney indicates a sign of Negative and the normal kidney indicates a sign Positive. To analyze the effectiveness of classifiers, the accuracies of various classifiers are evaluated.

Keywords: Classification, bayesian classifier, fine tree classifier, fine gaussian SVM classifier, fine KNN classifier.