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. Author manuscript; available in PMC: 2021 Feb 1.
Published in final edited form as: Stroke. 2019 Dec 30;51(2):489–497. doi: 10.1161/STROKEAHA.119.027457

Figure 3. A) ROC of the DL model and ML models on the evaluation voxel set.

Figure 3

With AUC=0.958, DL model showed significantly superior performance (p<0.001) compared with traditional ML models (AUC=0.897, 0.918, 0.930, 0.925, 0.924, and 0.933 for the six methods in the legend, respectively). B) Precision-Recall curves of the DL model and ML models. Significantly superior performance of the DL model was confirmed by precision-recall curve (AUC = 0.957, p<0.001), compared to 6 ML models (AUC= 0.790, 0.802, 0.809, 0.804, 0.806, and 0.932), respectively.