Compare and Contrast of Machine Learning Classification Algorithms to Predict Accuracy and Performance of Lung Cancer Disease

Lung cancer becoming one of dangerous disease that occur in human life due to unmanageable growth of cells in lungs and it will cause the serious breathing problems occurs. The medical industries are providing high-tech facilities and efficient medical treatment for procure lung cancer diseases, so, it will control the lung cancer disease up to good extent and focus to take early precaution also including symptoms for better diagnosis. In today’s Artificial Intelligence and Machine Learning algorithms has great influence in medical sectors at the early prediction of the diseases and other measures with accurate outcomes along with data analysis. During this research, we apply various classification algorithms of machine learning to classify the lung cancer disease along with lung cancer dataset. Above classifiers are created and data is prepossessed in rapid-miner tool, and it has transformed into binary form to detect accuracy and performance of lung cancer disease.