Model | AUC [95% CI] | Precision | Recall |
Logistic Regression | |||
T2 | 0.56 [0.52, 0.59] | 0.26 | 0.56 |
T3 | 0.56 [0.53. 0.59] | 0.42 | 0.61 |
T4 | 0.56 [0.53, 0.59] | 0.49 | 0.57 |
Multiple Logistic Regression | |||
T2 | 0.72 [0.69, 0.76] | 0.43 | 0.71 |
T3 | 0.70 [0.67, 0.73] | 0.57 | 0.72 |
T4 | 0.70 [0.68, 0.73] | 0.63 | 0.71 |
Random Forest | |||
T2 | 0.87 [0.84, 0.90] | 0.94 | 0.76 |
T3 | 0.89 [0.87, 0.92] | .83 | 0.09 |
T4 | 0.90 [0.88, 0.92] | 0.86 | 0.09 |