From: Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse
Imputation Method | Accuracy | F1 | AUC |
---|---|---|---|
Mean | 0.7098(0.0077) | 0.8082(0.0059) | 0.6026(0.0070) |
EM | 0.7096(0.0075) | 0.8082(0.0059) | 0.6020(0.0067) |
KNN | 0.7120(0.0074) | 0.8094(0.0057) | 0.6062(0.0071) |
DAE | 0.7078(0.0080) | 0.7985(0.0064) | 0.6274(0.0089) |
GAIN | 0.7957(0.0069) | 0.8521(0.0055) | 0.7577(0.0081) |