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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