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Table 6 Performance indexes for the optimal subset and for each classification algorithm using 10-fold style under normal walking speed

From: The impact of feature extraction and selection for the classification of gait patterns between ACL deficient and intact knees based on different classification models

Algorithm

Feature set

SEN (%)

SPF (%)

ACC (%)

PPV (%)

NPV (%)

MCC

SVM

Opitmal feature set shown in Table 2

100

90.48

95.12

90.91

100

0.907

KNN

Opitmal feature set shown in Table 2

91.30

77.78

85.37

84.00

87.50

0.703

NB classifier

Opitmal feature set shown in Table 2

50.00

73.68

60.98

68.75

56.00

0.242

Decision tree

Opitmal feature set shown in Table 2

75.00

88.24

80.49

90.00

71.43

0.623

ELA classifier

Opitmal feature set shown in Table 2

90.00

66.67

78.05

72.00

87.50

0.581

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