Paper Title
Chronic Renal Failure Prediction using Ensemble Classifiers

Abstract
In this paper we have provided a solution to detect chronic renal failure using various Ensemble techniques .Prediction of kidney failure at a early stage can reduces the chances of its fatal effect . It is rapidly becoming a global health crisis. Unhealthy dietary habits and insufficient water consumption are significant contributors to this disease. Without kidneys, a person can only live for 18 days on average, requiring kidney transplantation and dialysis. Globally, chronic kidney disease directly resulted in an estimated 1.23 million deaths in 2017 .In this study we have taken dataset from cleveland and used various methods to clean the dataset before applying algorithms, we them applied machine learning techniques like KNN, Adaboost , decision tree ,Logistic regression ,etc. with and with feature selection and comparied the result obtained to show which algorithm outperforms the other algorithms Keywords - Data Pre Processing , Ensemble Classifier, Feature Engineering Etc