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) | 0.7906(0.0077) | 0.8466(0.0060) | 0.8586(0.0075) |
SCAD(41) | 0.7891(0.0070) | 0.8453(0.0058) | 0.8581(0.0067) | |
BAR(7) | 0.7273(0.0077) | 0.8114(0.0060) | 0.7626(0.0078) | |
EM | LASSO(20) | 0.7565(0.0080) | 0.8299(0.0064) | 0.7991(0.0071) |
SCAD(30) | 0.7722(0.0083) | 0.8391(0.0066) | 0.8275(0.0076) | |
BAR(7) | 0.7282(0.0071) | 0.8125(0.0054) | 0.7616(0.0077) | |
KNN | LASSO(20) | 0.7714(0.0073) | 0.8375(0.0061) | 0.8282(0.0079) |
SCAD(38) | 0.7879(0.0083) | 0.8455(0.0068) | 0.8534(0.0074) | |
BAR(7) | 0.7282(0.0071) | 0.8124(0.0054) | 0.7616(0.0077) | |
DAE | LASSO(27) | 0.6984(0.0086) | 0.7859(0.0074) | 0.7529(0.0082) |
SCAD(62) | 0.7006(0.0089) | 0.7867(0.0073) | 0.7563(0.0082) | |
BAR(7) | 0.6866(0.0076) | 0.7791(0.0061) | 0.7400(0.0090) | |
GAIN | LASSO(10) | 0.7847(0.0066) | 0.8423(0.0056) | 0.8522(0.0065) |
SCAD(52) | 0.7895(0.0079) | 0.8455(0.0067) | 0.8574(0.0072) | |
BAR(9) | 0.7906(0.0077) | 0.8460(0.0062) | 0.8572(0.0073) |