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. 2022 Dec 20;307(1):e220715. doi: 10.1148/radiol.220715

Figure 2:

Receiver operating characteristic curves illustrate the performance inflation gained from each subsequent radiomics machine learning methodologic mistake as demonstrated on random radiomics features. Without mistakes, the area under the receiver operating characteristic curve (AUC) value (ROC-AUC) approximates 0.5 or random chance and compounding sufficient mistakes lead to idealized performance of a 1.0 AUC value.

Receiver operating characteristic curves illustrate the performance inflation gained from each subsequent radiomics machine learning methodologic mistake as demonstrated on random radiomics features. Without mistakes, the area under the receiver operating characteristic curve (AUC) value (ROC-AUC) approximates 0.5 or random chance and compounding sufficient mistakes lead to idealized performance of a 1.0 AUC value.