Table 4 Performance analysis with 70% training data.

From: High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning

 

RF20

DNN21

CNN22

TCN26

Deep_STAN

Accuracy

0.8429

0.8865

0.9009

0.8557

0.9937

Precision

0.8006

0.907

0.9109

0.8111

0.987

Sensitivity

0.7476

0.8302

0.8846

0.869

0.9898

Specificity

0.8145

0.902

0.9167

0.8455

0.9878

F-measure

0.837

0.8934

0.8976

0.8391

0.9935

MCC

0.7082

0.7838

0.8020

0.7099

0.9874

NPV

0.7636

0.8085

0.8919

0.8942

0.99876

FPR

0.0855

0.098

0.0833

0.1545

0.0122

FNR

0.2524

0.1698

0.1154

0.131

0.0100

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