From: Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse
Imputation Method | Accuracy | F1 | AUC |
---|---|---|---|
Mean | 0.7937(0.0072) | 0.8504(0.0058) | 0.7566(0.0084) |
EM | 0.7892(0.0082) | 0.8499(0.0065) | 0.7412(0.0092) |
KNN | 0.7916(0.0073) | 0.8495(0.0055) | 0.7516(0.0095) |
DAE | 0.7030 (0.0069) | 0.7899(0.0058) | 0.6371(0.0073) |
GAIN | 0.8064(0.0101) | 0.8510(0.0082) | 0.7614(0.0118) |