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Table 7 Improved predictive performance using only selected features in decision trees, random forests, and support vector machines for healthy controls (HCs) versus rheumatoid arthritis (RA) patients and osteoarthritis (OA) versus RA patients

From: Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women

Algorithm*

Accuracy

Precision

F1 score

Sensitivity

Specificity

AUC

Selected feature

HC v.s. RA

 DT

0.84 (0.80–0.87)

0.92 (0.88–0.95)

0.80 (0.76–0.85)

0.73 (0.67–0.80)

0.93 (0.89–0.97)

0.86 (0.82–0.89)

IgM anti-HPT78−108 HNE

IgG anti-THRB328−345

 RF

0.87 (0.85–0.90)

0.91 (0.87–0.95)

0.85 (0.82–0.88)

0.81 (0.76–0.87)

0.93 (0.91–0.96)

0.92 (0.90–0.95)

IgM anti-HPT78−108 HNE

IgM anti-HPT78−108

IgG anti-HPT78−108

IgG anti-THRB328−345

HNE adducts

 SVM

0.71 (0.62–0.80)

0.97 (0.91–1.00)

0.56 (0.42–0.70)

0.42 (0.27–0.58)

0.98 (0.95–1.00)

0.82 (0.75–0.89)

IgM anti-HPT78−108 HNE

IgG anti-HPT78−108 HNE

IgM anti IGKC2−19

IgM anti-CFAH1121−1230 HNE

OA v.s. RA

 DT

0.81 (0.75–0.87)

0.94 (0.89–0.98)

0.82 (0.76–0.89)

0.74 (0.62–0.83)

0.93 (0.88–0.98)

0.84 (0.79–0.89)

IgM anti-HPT78−108 HNE IgG anti-THRB328−345 IgG anti-IGKC2−19

 RF

0.85 (0.81–0.89)

0.87 (0.82–0.91)

0.87 (0.82–0.92)

0.88 (0.79–0.97)

0.79 (0.71–0.87)

0.92 (0.88–0.96)

IgM anti-HPT78−108 HNE IgG anti-HPT78−108 HNE IgG anti-IGKC2−19 IgM anti-CFAH1121−1230 HNE

 SVM

0.68 (0.61–0.76)

0.68 (0.61–0.76)

0.81 (0.75–0.86)

0.53 (0.31–0.66)

0.94 (0.89–0.98)

0.88 (0.83–0.93)

IgM anti-HPT78−108 HNE IgG anti-THRB328−345

  1. *DT, decision trees; RF, random forests; SVM, support vector machines