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. 2022 Jan 26;7(5):4001–4010. doi: 10.1021/acsomega.1c05060

Figure 5.

Figure 5

ROC curve analysis to evaluate the performance of different classifier construction models. Each colored line represents the ROC curve of the Parkinson’s odor diagnosis model constructed by different classifiers: (A) development cohort: the ROC curve of the model. The AUCs of five classifiers (SVM, RF, KNN, AB, and NB) are 0.808, 0.868, 0.800, 0.929, and 0.914, respectively and (B) validation cohort: the ROC curve of the medical diagnostic tests. The AUCs of five classifiers are 0.681, 0.819, 0.729, 0.826, and 0.698, respectively.