Table 2 Comparison with different types of features using different algorithms on classification accuracy (mean ± std, UNIT: %)

60.90 ± 7.21

58.21 ± 5.56

58.90 ± 9.67

54.09 ± 8.96

54.81 ± 8.52

70.47 ± 6.11

66.40 ± 4.11

67.75 ± 4.95

68.49 ± 4.32

70.49 ± 3.58

74.34 ± 5.40

69.85 ± 4.57

73.89 ± 5.52

73.32 ± 9.42

69.85 ± 6.63

76.73 ± 4.39

73.20 ± 5.13

76.63 ± 6.04

70.52 ± 4.84

75.98 ± 2.18

78.13 ± 6.41

66.47 ± 5.27

61.11 ± 10.89

67.70 ± 8.81

69.27 ± 9.69

82.24 ± 7.19

72.70 ± 7.42

69.87 ± 4.88

77.99 ± 7.15

74.77 ± 11.24

89.05 ± 4.40

80.29 ± 7.28

77.46 ± 4.74

78.70 ± 5.97

83.67 ± 8.10

93.19 ± 4.01

83.70 ± 6.97

80.87 ± 5.97

80.05 ± 5.56

83.69 ± 8.50

87.65 ± 3.93

72.63 ± 5.72

76.61 ± 5.04

78.61 ± 8.03

71.92 ± 3.56

88.98 ± 6.20

80.82 ± 7.91

83.48 ± 3.37

80.75 ± 5.52

84.20 ± 5.87

92.43 ± 3.00

82.25 ± 5.42

86.22 ± 3.78

86.91 ± 5.43

84.22 ± 3.92

95.15 ± 3.98

82.93 ± 4.56

88.24 ± 5.50

86.91 ± 5.43

84.27 ± 3.14