Different types of diseases will occur because of unawareness and negligence of the body among human being. All types of diabetes can lead to complications in many parts of the body and can increase the overall risk of dying prematurely. The risk of diseases is increasing day by day and is found common in every body. The very dangerous diseases in medicinal field attacked which are affected for many peoples in popular countries like India. The diagnosis of these diseases is a tedious process. In this paper, four diseases (Diabetes, Hepatitis, Heart Disease and Gastro intestinal Lesions in Regular Colonoscopy) datasets considered. So with improvement in science and technology it is made easy to predict the disease. The purpose is to diagnose whether the person is affected by any particular disease or not using Random Forest (RF) Classification Algorithm. The different types of dataset are taken as the training data and the details of the patient are taken as testing data. The training data are classified by using the RF classifier and secondly the target data is predicted. RF algorithm used here would be more efficient for both classification and prediction. The results are analyzed with different values for the parameter k.
