Model | Imputation | Features | Parameters | 10-fold CV average | Independent test data | ||||||
Trees | Mtry | MCC | Sen | Spec | MCC | Sen | Spec | AUC | |||
M1 | missForest | 232 | 200 | 10 | 0.38 | 0.80 | 0.58 | 0.76 | 0.96 | 0.78 | 0.83 |
M2 | missForest | 25 | 200 | sqrt(25) | 0.60 | 0.82 | 0.77 | 0.71 | 0.92 | 0.78 | 0.85 |
M3 | missForest | 15 | 60 | sqrt(15) | 0.63 | 0.80 | 0.83 | 0.57 | 0.80 | 0.78 | 0.83 |
M4 | Median | 234 | 150 | sqrt(234) | 0.43 | 0.80 | 0.62 | 0.76 | 0.96 | 0.78 | 0.83 |
M5 | Median | 25 | 200 | sqrt(25) | 0.55 | 0.83 | 0.73 | 0.53 | 0.76 | 0.78 | 0.86 |
M6 | Median | 15 | 60 | sqrt(15) | 0.63 | 0.83 | 0.82 | 0.55 | 0.72 | 0.83 | 0.84 |
AUC, area under the curve; CV, cross-validation; MCC, Matthews Correlation Coefficient; Sen, Sensitivity; Spec, Specificity.