Table 7.

Comparison with other methods.

Algorithm	Sen	Spc	Prc	Acc	F1	MCC	FMI
BRC-BC (Plant et al., 2010)	92.96 ± 1.63	88.78 ± 1.86	89.25 ± 1.59	90.87 ± 1.11	91.05 ± 1.09	81.83 ± 2.22	91.08 ± 1.09
TJM (Savio and Grana, 2013)	88.27 ± 3.27	92.45 ± 2.37	92.20 ± 2.03	90.36 ± 1.31	90.13 ± 1.44	80.88 ± 2.53	90.18 ± 1.41
RF (Gray et al., 2013)	87.86 ± 2.18	88.67 ± 1.70	88.60 ± 1.55	88.27 ± 1.36	88.21 ± 1.41	76.56 ± 2.72	88.22 ± 1.41
FMSA (Lahmiri and Boukadoum, 2014)	90.31 ± 2.32	87.86 ± 2.47	88.21 ± 1.93	89.08 ± 1.08	89.21 ± 1.08	78.25 ± 2.13	89.23 ± 1.07
DF (Zhang, 2015)	90.61 ± 1.65	93.16 ± 1.18	93.00 ± 1.08	91.89 ± 0.70	91.78 ± 0.75	83.83 ± 1.39	91.79 ± 0.74
PZM-SCG (Gorji and Haddadnia, 2015)	92.96 ± 1.63	92.65 ± 1.79	92.72 ± 1.57	92.81 ± 0.70	92.82 ± 0.69	85.65 ± 1.40	92.83 ± 0.69
BBO (Li, 2018)	91.73 ± 1.83	91.43 ± 2.21	91.52 ± 1.89	91.58 ± 0.60	91.60 ± 0.56	83.22 ± 1.21	91.61 ± 0.57
PZM-LRC (Du, 2017)	93.37 ± 1.82	92.76 ± 2.01	92.83 ± 1.81	93.06 ± 1.30	93.08 ± 1.29	86.15 ± 2.59	93.09 ± 1.29
CNN-LReLU (Sui, 2018)	97.35 ± 1.88	96.94 ± 1.08	96.97 ± 1.01	97.14 ± 0.87	97.14 ± 0.90	94.31 ± 1.72	97.15 ± 0.89
CNN-BND (Jiang and Chang, 2020)	97.04 ± 1.55	97.35 ± 1.29	97.36 ± 1.24	97.19 ± 0.88	97.19 ± 0.89	94.41 ± 1.73	97.19 ± 0.88
CNN-RNN-LSTM (Dua et al., 2020)	92.65 ± 1.65	92.35 ± 1.30	92.38 ± 1.19	92.50 ± 1.02	92.51 ± 1.04	85.02 ± 2.04	92.51 ± 1.04
Ours	97.65 ± 1.36	97.86 ± 1.55	97.87 ± 1.53	97.76 ± 1.13	97.75 ± 1.13	95.53 ± 2.27	97.76 ± 1.13