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Table 2 Selected optimal hyper-parameters as number (No.) of hidden neurons, optimal (Opt.) window size, average test accuracy values, and the corresponding standard deviations for each model

From: Temporal social network reconstruction using wireless proximity sensors: model selection and consequences

 

unreconstr.

naïve

HMM

BiLSTM-bin

BiLSTM-logi

BiLSTM-RSSI

No. hidden neurons

64

16

32

Opt. window size

0

6

6

27

25

27

Average accuracy

77.28 %

83.36%

84.25%

88.34%

89.02%

90.03%

Standard deviation

14.91%

12.11%

11.67%

9.55%

9.36%

8.99%