Lung Cancer Prediction using Machine Learning

Due to unchecked cell development in the lungs, lung cancer typically affects both men and women. This seriously impairs one's ability to breathe in and out of the chest. According to the World Health Organisation, the main causes of lung cancer are cigarettes and passive smoking. Compared to other cancers, the death rate from lung cancer is rising daily among both young and old people. Despite the availability of advanced medical facilities for accurate diagnosis and effective medical care, the mortality rate is still not effectively under control. The prediction of lung cancer was investigated using classification techniques as Naive Bayes, Random Forest, Decision trees, and Logistic Regression. The primary objective of the research is to analyse the effectiveness of categorisation algorithms in order to identify lung cancer early.