Table 4 Performance comparison of DNN vs. Base models.

From: Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks

Model

Accuracy (%)

Precision (%)

Recall (%)

F1 Score (%)

SVM

86.20

87.10

85.95

86.56

KNN

84.85

85.60

84.11

84.84

DNN

91.43

95.88

94.92

95.39

CNN [38]

93.50

92.11

90.18

92.87

RNN [39]

95.80

94.43

93.22

94.49

FB-DNN

96.15

98.44

98.17

98.32

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