Abstract: Lung cancer has become the most prevalent and threatening cancer worldwide. The main reason for this lung cancer is due to cigarette smoking. Lung cancer is the cancer that originates in the tissues of the lungs. It occurs when cells in the lung start to grow rapidly in an uncontrolled manner. Lung cancer can start anywhere in the lungs and affect any part of the respiratory system. So, lung cancer needs to be detected at early stages and this can be predicted by using various machine learning algorithms. In this paper, KNN algorithm is used for predicting lung cancer and also accuracy score has been calculated along with confusion matrix to identify the correct and incorrect predicted features. In this paper, lung cancer prediction is done by importing the dataset and performing machine learning algorithms on the dataset to find out whether the users are affected with cancer.

Keywords: lung cancer, prediction, KNN, accuracy, performance

| DOI: 10.17148/IARJSET.2022.94116