From: Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse
Imputation Method | Accuracy | F1 | AUC |
---|---|---|---|
Mean | 0.7874(0.0075) | 0.8443(0.0061) | 0.8563(0.0069) |
EM | 0.7846(0.0073) | 0.8440(0.0058) | 0.8490(0.0068) |
KNN | 0.7862(0.0074) | 0.8441(0.0059) | 0.8519(0.0065) |
DAE | 0.7007(0.0082) | 0.7868(0.0067) | 0.7562(0.0084) |
GAIN | 0.7894(0.0072) | 0.8456(0.0057) | 0.8569(0.0067) |