Table 3 Comparing predictive performance of machine learning models with and without sound as an input.

From: Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling

Model

 

SDNN

Normalized-HF

  

RMSE

MAPE

RMSE

MAPE

Without Sound

NN

23.77

45.00

12.56

84.20

CART

20.58

36.11

11.60

75.43

MARS

19.85

35.04

11.04

73.57

RF

17.08

28.78

9.77

57.35

GBM

17.98

26.55

10.30

51.98

Our model

17.50

27.80

9.42

50.27

With Sound

NN

23.77

45.00

12.56

84.20

CART

20.58

36.11

11.60

75.43

MARS

19.21

33.97

10.83

72.64

RF

16.96

28.48

9.58

56.79

GBM

17.05

26.07

9.24

51.35

Our model

17.06

26.56

8.90

44.36

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