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Table 3 Results of ablation study

From: Body landmarks and genetic algorithm-based approach for non-contact detection of head forward posture among Chinese adolescents: revitalizing machine learning in medicine

Features

Accuracy (%)

Sensitivity (%)

Specificity (%)

PPV (%)

NPV (%)

EAH

55.8

54.4

58.1

68.3

43.4

PAH

61.2

53.4

74.2

77.5

48.9

NAH

71.5

72.8

69.4

79.8

60.6

ENA

75.8

72.8

80.6

86.2

64.1

PAH + EAH

70.9

63.1

83.9

86.7

57.8

NAH + PAH

73.9

71.8

77.4

84.1

62.3

ENA + PAH

77.0

74.8

80.6

86.5

65.8

NAH + ENA

77.0

74.8

80.6

86.5

65.8

NAH + EAH

79.4

78.6

80.6

87.1

69.4

ENA + EAH

80.0

78.6

82.3

88.0

69.9

NAH + PAH + EAH

78.2

77.7

79.0

86.0

68.1

NAH + ENA + EAH

78.8

76.7

82.3

87.8

68.0

ENA + PAH + EAH

78.8

74.8

85.5

89.5

67.1

NAH + ENA + PAH

80.0

79.6

80.6

87.2

70.4

All Features

76.4

72.8

82.3

87.2

64.6

NAH + ENA + PAH + EAH

82.4

80.6

85.5

90.2

72.6

  1. PPV denotes positive predictive value, NPV denotes negative predictive value, NAH Nasal-Acromion-Horizontal Angle, ENA Ear-Nasal-Acromion Angle, PAH Pupil-Acromion-Horizontal Angle, EAH Ear-Acromion-Horizontal Angle