Table 7 Findings of optimization methods LSTM Model for the classifying heart disease.

From: Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory

Models

Accuracy

Sensitivity (TRP)

Specificity (TNP)

P value (PPV)

N value (NPV)

F-score

GGO + LSTM

0.995763

0.996086

0.995516

0.994141

0.997006

0.995112

BER + LSTM

0.978346

0.978846

0.977823

0.978846

0.977823

0.978846

DTO + LSTM

0.970742

0.969432

0.971944

0.969432

0.971944

0.969432

PSO + LSTM

0.950363

0.951777

0.949074

0.944584

0.955711

0.948167

GWO + LSTM

0.944223

0.937695

0.949074

0.931889

0.953488

0.934783

FAO + LSTM

0.935103

0.937695

0.932773

0.926154

0.943343

0.931889

WAO + LSTM

0.930556

0.934783

0.92638

0.926154

0.934985

0.930448

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