Table 9 Performance of machine learning classifiers for predicting MMSE ≥ 27 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

0.696 (0.584–0.808)

0.786

0.596

linear SVM

0.715 (0.605–0.826)

0.667

0.787

RF

0.777 (0.680–0.875)

0.857

0.638

XGBoost

0.729 (0.624–0.834)

0.857

0.532

MLP

0.700 (0.589–0.811)

0.714

0.681

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