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Table 2 Evaluation of models by frequency range in terms of the classification ACC, F1-score, SD, FPR and FNR

From: Automatic classification of the physical surface in sound uroflowmetry using machine learning methods

 

Frequency range

ACC (%)

F1-score (%)

SD (%)

FPR (%)

FNR (%)

SVM

[0–8 kHz]

94.17

94.18

0.82

2.92

5.89

SVM

[0–22.05 kHz]

96.00

96.01

0.65

2.00

4.01

SVM

[8–22.05 kHz]

89.38

89.27

1.15

5.30

10.63

RF

[0–8 kHz]

98.50

98.50

0.36

0.75

1.51

RF

[0–22.05 kHz]

99.46

99.46

0.32

0.27

0.54

RF

[8–22.05 kHz]

93.29

93.30

0.72

3.35

6.71

k-NN

[0–8 kHz]

98.58

98.63

0.44

0.71

1.44

k-NN

[0–22.05 kHz]

99.05

99.05

0.33

0.47

0.95

k-NN

[8–22.05 kHz]

90.88

90.82

1.36

4.57

9.20