Fig. 5From: 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 in terms of precision and recall score. a Average precision score of prediction model in LUAD, micro-average over all classes: AP = 0.84. b Extension of precision-recall curve to multi-classes in LUAD. The corresponding reference groups are all the other stages patients. c Average precision score of prediction model in LUSC, micro-average over all classes: AP = 0.62. d Extension of precision-recall curve to multi-classes in LUSC. The corresponding reference groups are all the other stages patientsBack to article page