Table 6 Comparison of performance measures of each model.

From: Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction

Model

Accuracy

Precision

Recall

F1-Score

AUC

ELM

0.6948

0.588

0.200

0.298

0.6910

MSCOA-ELM

0.8377

0.833

0.660

0.737

0.7017

COA-ELM

0.7987

0.794

0.529

0.635

0.7064

DBO-ELM

0.7987

0.868

0.559

0.681

0.7067

SABO-ELM

0.8312

0.892

0.600

0.718

0.7055

GWO-ELM

0.7792

0.735

0.632

0.679

0.7087

WWPA-ELM

0.7597

0.757

0.500

0.602

0.7080

CDO-ELM

0.7597

0.757

0.500

0.602

0.7141

LPO-ELM

0.8312

0.780

0.653

0.713

0.6977

APO-ELM

0.8442

0.761

0.729

0.743

0.7049

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