Algorithms* | Accuracy | Precision | F1 score | Sensitivity | Specificity | AUC |
---|---|---|---|---|---|---|
HC v.s. RA | ||||||
 DT | 0.75 (0.70–0.79) | 0.77 (0.69–0.86) | 0.69 (0.63–0.75) | 0.62 (0.56–0.69) | 0.85 (0.81–0.90) | 0.74 (0.69–0.78) |
 RF | 0.80 (0.79–0.82) | 0.83 (0.81–0.85) | 0.79 (0.77–0.80) | 0.76 (0.74–0.79) | 0.84 (0.82–0.87) | 0.88 (0.87–0.89) |
 SVM | 0.71 (0.64–0.78)) | 0.90 (0.78–1.00) | 0.62 (0.51–0.73) | 0.49 (0.37–0.62) | 0.94 (0.89–1.00) | 0.86 (0.78–0.93) |
OA v.s. RA | ||||||
 DT | 0.78 (0.73–0.83) | 0.90 (0.85–0.95) | 0.77 (0.70–0.84) | 0.68 (0.58–0.78) | 0.89 (0.82–0.96) | 0.79 (0.74–0.83) |
 RF | 0.80 (0.75–0.85) | 0.84 (0.78–0.90) | 0.84 (0.80–0.88) | 0.86 (0.79–0.92) | 0.68 (0.52–0.85) | 0.87 (0.82–0.92) |
 SVM | 0.66 (0.56–0.70) | 0.66 (0.56–0.70) | 0.79 (0.72–0.82 | 0.47 (0.33–0.60) | 0.93 (0.88–0.99) | 0.82 (0.80–0.85) |