Data mining finds its application in many areas by its capability of extracting the interesting knowledge from the data set. In the health care department to predict the dreadful disease the output of data mining is highly useful. Particularly in the healthcare, the amounts and complexity of data involved are large. The decision making is highly improved by using data mining in the place of traditional method. The kidney disease cases are keeping increasing in the modern world due to life style and food habit. The work involves the performance analysis using the classification techniques namely Naïve Bayes, Multilayer Perceptron, AdaBoost, Decision Table and J48 over chronic kidney disease data set. © 2016, International Journal Of Pharmacy and Technology. All rights reserved.