Fig. 3From: Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysisPerformance assessment of prediction model in validation sets. a The class distribution of samples in LUAD dataset. b The class distribution of samples in LUSC dataset. c and d. Confusion matrix was used to determine whether there is a consistency between the actual and the predicted results in LUAD (c) and LUSC (d). e and f) Receiver operating characteristic (ROC) curve analysis for the prediction of the pathologic stages in LUAD (e) and LUSC (f). The corresponding reference groups are all the other stages patientsBack to article page