Table 8 Performance results of different classification techniques for the detection of PD on balanced and original datasets.

From: Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning

Techniques

Before SMOTE (original dataset)

After SMOTE (balanced dataset)

Acc

Sen.

Spec.

F1

Score

Training

time (Sec.)

Acc.

Sen.

Spec.

F1

Score

Training

time (Sec.)

RFT

96.2

95.3

93.2

94.5

20

97.5

97

95

96.4

14.7

SVM

95.2

93.4

92.2

93.4

25

96

94.5

94

95.5

20

K-NN

94.2

91

92.7

90.5

22

95.7

92.4

93.5

92

16

NB

92.3

90

91.3

87

20

93.2

91

92

89.5

14

LR

90

87

82.5

86.3

25

91.1

89

84.5

88

19