Performance Analysis of Machine Learning Algorithms for Lung Cancer Prediction

One of the main factors contributing to cancer-related deaths globally is lung cancer. Physicians may be better able to decide on a patient's course of therapy if lung cancer can be accurately predicted. The goal of this work is to predict lung cancer using distinct machine learning (ML) algorithms. This work includes prediction of lung cancer using Machine Learning algorithms such as Linear Regression, Random Forest (RF), K Nearest Neighbors (KNN), Decision Tree Classifier and Gradient Boosting Classifier. The performance analysis of all the algorithms is presented.