A Comparative Study of Classification Algorithm and Performance Analysis Using Cancer Data to Predict Lung Cancer Disease

E. Sathiyapriya, Dr. S. Mary Venila

Lung Cancer is the major cause of human deaths in worldwide. Therefore, to identify the lung cancer is very important to avoid a more deaths in the world. The Lungs are the important organs in our human body and  It act as Primary Organ In Our Human Body. The function of lungs is to extract oxygen from the atmosphere and transfer the oxygen in to blood stream and to release carbon dioxide from bloodstream in to atmosphere. Therefore a lung cancer prediction process it has very ease, cost effective and time has saved more when compare to diagnosis system manually by using Lab Test Reports. The aim of this study to predict lung cancer diagnosis using the classification algorithm. Earlier these study were carried out by the classification algorithm such as Naive Bayes algorithm, J48 decision tree algorithm and SVM algorithm. Data set of 1000 Lung cancer patients data, it has Preprocessed and perform classification using a classification algorithm. J48 produces more accurate results than the Naïve Bayes and SVM Classification algorithm.