Type of ML | Accuracy (95% CI) | Sensitivity | Specificity | AUC (95% CI) |
---|---|---|---|---|
Logistic Regression (LR) | 0.83 [0.77,0.89] | 0.72 | 0.60 | 0.82 [0.66,0.98] |
T-wise Regression (TR) | 0.79 [0.73,0.84] | 0.70 | 0.59 | 0.79 [0.66,0.92] |
Decision Tree: C5.0 (C5.0) | 0.92 [0.83,1] | 0.87 | 0.94 | 0.91 [0.77,1] |
Decision Tree: CART (CART) | 0.87 [0.80,0.94] | 0.69 | 0.91 | 0.82 [0.70,0.94] |
Support Vector Machine (SVM) | 0.81 [0.75,0.87] | 0.50 | 0.94 | 0.72 [0.59,0.85] |
Random Forest (RF) | 0.77 [0.71,0.84] | 0.56 | 0.86 | 0.7 [0.60,0.81] |