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. 2021 May 11;21(10):3311. doi: 10.3390/s21103311

Table 1.

Simulated dataset—performance of the different methods in terms of the fraction of correctly classified, mean error (ME), and root-mean-squared error (RMSE).

Fraction of Correctly
Classified
T-VAF
(90%)
T-VAF
(95%)
E-VAF P-VAF ChoOSyn
No noise 2/75 36/75 75/75 75/75 73/75
SNR = 30 dB 0/75 24/75 75/75 75/75 73/75
SNR = 25 dB 0/75 18/75 75/75 75/75 74/75
SNR = 20 dB 0/75 9/75 74/75 72/75 72/75
SNR = 15 dB 0/75 0/75 65/75 73/75 63/75
ME 1 T-VAF
(90%)
T-VAF
(95%)
E-VAF P-VAF ChoOSyn
No noise −1.29 −0.52 0.00 0.00 −0.03
SNR = 30 dB −1.48 −0.68 0.00 0.00 −0.03
SNR = 25 dB −1.57 −0.79 0.00 0.00 −0.01
SNR = 20 dB −2.11 −1.04 0.01 0.04 −0.05
SNR = 15 dB −3.07 −1.93 −0.15 0.03 0.04
RMSE 1 T-VAF
(90%)
T-VAF
(95%)
E-VAF P-VAF ChoOSyn
No noise 1.39 0.72 0.00 0.00 0.16
SNR = 30 dB 1.56 0.82 0.00 0.00 0.16
SNR = 25 dB 1.65 0.92 0.00 0.00 0.12
SNR = 20 dB 2.19 1.17 0.12 0.20 0.28
SNR = 15 dB 3.15 2.00 0.53 0.16 0.53

1 Unit of measure of ME and RMSE: number of synergies.