From: Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse
Imputation Method | Accuracy | F1 | AUC |
---|---|---|---|
Mean | 0.7104(0.0080) | 0.8087(0.0060) | 0.6031(0.0076) |
EM | 0.7099(0.0073) | 0.8084(0.0056) | 0.6027(0.0068) |
KNN | 0.7127(0.0074) | 0.8098(0.0057) | 0.6075(0.0073) |
DAE | 0.7007(0.0085) | 0.7987(0.0066) | 0.6030(0.0082) |
GAIN | 0.7923(0.0069) | 0.8504(0.0054) | 0.7505(0.0083) |