Abstract- Lung cancer is a dangerous disease that is seen in different age groups people. Different types of lung cancer are detected at the advanced stage. For early detection of cancer, some methods are used for the prediction of lung cancers. This paperwork discusses the Machine Learning (ML) models that are implemented for detecting lung cancer.  Here implementing the Logistic Regression, Support Vector Machine and Random Forest Classifier algorithms are studied. Analyzing the accuracy performance of all these algorithms. The results obtained from the proposed model were found that the SVM is more reliable and produces enhanced accuracy when compared with other models.

Keywords – Machine Learning, Lung Cancer, SVM, Precision, Recall.