Table 10 Performance of machine learning classifiers for predicting MoCA ≥ 26 using the seven-acid signature

From: Classifying the risk of cognitive impairment in Parkinson’s disease using serum bile acid profiles and machine learning

Variables

AUC (95% CI)

Sensitivity

Specificity

RBF SVM

0.740 (0.637–0.844)

0.727

0.667

linear SVM

0.777 (0.678–0.875)

0.795

0.689

RF

0.833 (0.750–0.916)

0.705

0.844

XGBoost

0.803 (0.710–0.895)

0.682

0.822

MLP

0.784 (0.687–0.881)

0.795

0.689

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