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Table 3 Comparative analysis of OBCSA-OSAE model with existing methods in terms of different measures

From: A novel oppositional binary crow search algorithm with optimal machine learning based postpartum hemorrhage prediction model

Methods

Accuracy

Recall

Precision

F-Score

MCC

RF

0.912

0.747

0.937

0.830

0.630

GBDT

0.919

0.655

0.736

0.690

0.670

XGB

0.916

0.739

0.878

0.800

0.660

SVM

0.923

0.748

0.937

0.830

0.640

EL-HC

0.907

0.656

0.953

0.780

0.650

EL-SC

0.932

0.697

0.847

0.760

0.690

OBCSA-OSAE

0.938

0.948

0.983

0.965

0.700