Table 2 Classification results of LD dataset
From: Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse
Classifier | Accuracy | F1 | AUC |
|---|---|---|---|
LR | 0.7002(0.0029) | 0.7252(0.0030) | 0.6975(0.0031) |
RF | 0.6826(0.0261) | 0.7038(0.0276) | 0.6810(0.0265) |
SVC | 0.5989(0.2220e-16) | 0.5831(0.0) | 0.6459(0.5310e-5) |
XGBoost | 0.6551(0.0180) | 0.6762(0.0201) | 0.7127(0.0191) |
LASSO-LR | 0.6935(0.0177) | 0.7187(0.0182) | 0.6909(0.0180) |
SCAD-LR | 0.6861(0.0179) | 0.7131(0.0191) | 0.6833(0.0177) |
Elastic Net-LR | 0.6943(0.0181) | 0.7196(0.0184) | 0.6917(0.0184) |