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Fig. 2 | BMC Cancer

Fig. 2

From: Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis

Fig. 2

Performance assessment of prediction model in training/testing sets in binarized predictive scenario. a The imbalanced class distribution of NSCLC samples. b The final class distribution of NSCLC samples after equilibrium processing. c Receiver operating characteristic (ROC) curve analysis for the prediction of the pathologic stages in NSCLC cohort. d. Confusion matrix was used to examine whether there is a consistency between the actual and the predicted results in NSCLC cohort. e Precision-recall curve in NSCLC cohort. f Average precision score of prediction model in NSCLC cohort

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BMC Cancer

ISSN: 1471-2407

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