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Table 3 Classification accuracy of the “Test_Data” set

From: Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples

 

For samples (accuracy) (%)

For subjects (accuracy) (%)

DNNE (with MENN)

 Mean

95.30

98.22

 Std

0.0101

0.0069

 Best

97.02

100

RF (with MENN)

 Mean

99.40

100

 Std

0.003

0

 Best

100

100

SVM (linear kernel)

 Mean

68.45

67.86

 Std

0

0

 Best

68.45

67.86

Method in [1]

 Mean

75

 Best

75