XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer.Lung cancer has been the leading cause of cancer-related deaths worldwide. 
XML-GBM lung
The outcome of the predictive model with ROS (Random Oversampling) class balancing technique is used to comprehend the most relevant clinical features that contributed to the prediction of lung cancer using a machine learning explainable technique termed SHAP (SHapley Additive exPlanation). 
SHAP
The outcome of the predictive model with ROS (Random Oversampling) class balancing technique is used to comprehend the most relevant clinical features that contributed to the prediction of lung cancer using a machine learning explainable technique termed SHAP (SHapley Additive exPlanation). 
ROS