Table 3 The performance of the two models on the training set and our final selected model on the test set, evaluated using area under the curve (AUC), specificity and, sensitivity
LOPO CV | Independent Testing | ||||
|---|---|---|---|---|---|
Ensemble Model | Penalized Logistic Model | Penalized Logistic Model | |||
Sample-level | In silico mixing | Sample-level | In silico mixing | In vitro mixing | |
AUC | 0.90 [0.87–0.93] | 0.93 [0.88–0.98] | 0.87 [0.83–0.91] | 0.91 [0.85–0.97] | 0.87 [0.76–0.98] |
Specificity | 0.92 [0.86–0.96] | 0.95 [0.82–0.99] | 0.91 [0.85–0.95] | 0.95 [0.82–0.99] | 0.88 [0.70–0.98] |
Sensitivity | 0.73 [0.67–0.79] | 0.79 [0.66–0.89] | 0.71 [0.64–0.77] | 0.72 [0.58–0.83] | 0.70 [0.47–0.87] |