From: Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse
Imputation methods | FSM(No. of selected features) | Accuracy | F1 | AUC |
---|---|---|---|---|
Mean | LASSO(20) | 0.7132(0.0011) | 0.8094(0.0006) | 0.6101(0.0026) |
SCAD(41) | 0.7147(0.0011) | 0.8101(0.0007) | 0.6127(0.0026) | |
BAR(7) | 0.7016(0.0007) | 0.8030(0.0005) | 0.5925(0.0022) | |
EM | LASSO(20) | 0.7140(0.0010) | 0.8097(0.0007) | 0.6117(0.0028) |
SCAD(30) | 0.7148(0.0009) | 0.8102(0.0008) | 0.6131(0.0024) | |
BAR(7) | 0.7069(0.0007) | 0.8057(0.0006) | 0.6010(0.0020) | |
KNN | LASSO(20) | 0.7152(0.0008) | 0.8104(0.0006) | 0.6134(0.0027) |
SCAD(38) | 0.7162(0.0011) | 0.8106(0.0006) | 0.6159(0.0027) | |
BAR(7) | 0.7070(0.0008) | 0.8058(0.0007) | 0.6012(0.0024) | |
DAE | LASSO(27) | 0.7056(0.0008) | 0.7999(0.0009) | 0.6160(0.0021) |
SCAD(62) | 0.7160(0.0012) | 0.8027(0.0009) | 0.6412(0.0030) | |
BAR(7) | 0.6944(0.0008) | 0.7944(0.0011) | 0.5962(0.0022) | |
GAIN | LASSO(10) | 0.7939(0.0006) | 0.8508(0.0004) | 0.7554(0.0014) |
SCAD(52) | 0.8009(0.0008) | 0.8557(0.0006) | 0.7643(0.0016) | |
BAR(9) | 0.7960(0.0006) | 0.8521(0.0005) | 0.7589(0.0015) |