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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: Proc IEEE Inst Electr Electron Eng. 2018 Feb 6;106(4):690–707. doi: 10.1109/JPROC.2017.2789319

TABLE V.

Prediction Accuracy (AUC) on diabetes data.

Settings avg. AUC std AUC
ACC, L = 1 (SLSVM) 79.24% 0.52%
ACC, L = 2 78.55% 0.41%
ACC, L = 3 78.53% 0.41%
ACC, L = 4 78.46% 0.35%
ACC, L = 5 78.36% 0.36%
ACC, L = 6 78.18% 0.50%
4-LRT 78.74% 0.28%
Lin. SVM 76.87% 0.48%
RBF SVM 77.96% 0.27%
sparse LR 78.91% 0.38%
CT-LSVM (L = 2) 75.63% 0.50%
CT-SLSVM (L = 2) 77.99% 0.49%
random forests 84.53% 0.26%
random forests on selected features (baseline) 65.77% 0.47%