Prediction and analysis of lung cancer using machine learning models

Abstract

Lung cancer is one of the most serious cancers, which has high death rate. In much research, researchers find that preventing lung cancer more effective for people to against it. In this paper, we aim to predict the possibility of lung cancer for the test individuals and exploit the main factors. We apply three machine learning models, including linear regression. Polynomial regression and bootstrap for this task. In the experiment. We find the linear regression achieves the best performance, with the lowest MSE (0.11). Furthermore, we find that the age, smoke and alcohol take important role in lung cancer. The author provides a comprehensive prediction and analysis for lung cancer precaution.