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Fig. 4 | BMC Cancer

Fig. 4

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

Fig. 4

Performance assessment of prediction model in validation sets. in binarized predictive scenario. a & c Confusion matrix was used to determine whether there is a consistency between the actual and the predicted results in LUAD (up) and LUSC (down). b & d Receiver operating characteristic (ROC) curve analysis for the prediction of the pathologic stages in LUAD (up) and LUSC (down). e Average precision score of prediction model in LUAD. f Average precision score of prediction model in LUSC

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