Table 5 Performance analysis with 80% training data.

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

 

RF20

DNN21

CNN22

TCN26

Deep_STAN

Accuracy

0.8802

0.8308

0.9112

0.9408

0.9804

Precision

0.8269

0.7835

0.9287

0.9167

0.9722

Sensitivity

0.8951

0.8539

0.8706

0.9221

0.9859

Specificity

0.8218

0.8125

0.9224

0.9265

0.9756

F-measure

0.8821

0.8172

0.908

0.9342

0.979

MCC

0.7685

0.6625

0.8254

0.8807

0.9607

NPV

0.8932

0.875

0.8791

0.9362

0.9877

FPR

0.1782

0.1875

0.0976

0.0635

0.0244

FNR

0.0949

0.1461

0.1294

0.0779

0.0141

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