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. Author manuscript; available in PMC: 2020 May 20.
Published in final edited form as: Diabetologia. 2019 Jan 15;62(4):687–703. doi: 10.1007/s00125-018-4800-2

Fig. 3.

Fig. 3

The machine learning approach in predictive signature discovery. (a, b) ROC curve for type 2 diabetes (T2DM) cases (a) and control participants (b) in the filtered classifier algorithm. The mean AUC was 0.92 for both case (a) and control (b) within the 95% CI. (c) The decision tree generated from the filtered classifier algorithm. (d) The selection of cross-validation through the ‘one standard error’ rule where K=45 was selected. (e) Comparison table for the top biomarkers found using the different approaches