Algorithm | AUC | f1 | Accuracy | Specificity | Sensitivity |
---|---|---|---|---|---|
Random forest | 0.69 (0.57–0.81) | 0.69 (0.57–0.81) | 0.67 (0.54–0.79) | 0.60 (0.47–0.73) | 0.78 (0.67–0.89) |
Logistic regression | 0.50 (0.37–0.63) | 0.77(0.66–0.88) | 0.63 (0.50–0.75) | 1 | 0 |
KNN | 0.57 (0.44–0.70) | 0.73 (0.61–0.84) | 0.63 (0.5–0.75) | 0.80 (0.69–0.91) | 0.33 (0.21–0.46) |
Decision tree | 0.43 (0.30–0.56) | 0.29 (0.17–0.41) | 0.38 (0.25–0.50) | 0.20 (0.09–0.31) | 0.67 (0.54–0.79) |