Table 3 Classification results of imputed datasets under LR classifier
From: Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse
Imputation Method | Accuracy | F1 | AUC |
|---|---|---|---|
Mean | 0.7164(0.0012) | 0.8110(0.0008) | 0.6158(0.0025) |
EM | 0.7148(0.0011) | 0.8098(0.0008) | 0.6140(0.0025) |
KNN | 0.7174(0.0013) | 0.8113(0.0009) | 0.6179(0.0024) |
DAE | 0.7170(0.0015) | 0.8030(0.0011) | 0.6434(0.0033) |
GAIN | 0.8010(0.0009) | 0.8555(0.0006) | 0.7641(0.0015) |