Table 4 Comparison of SMNN 1–9 architectures (see Table 3).

From: Novel AI driven approach to classify infant motor functions

SMNN

TP

FP

FN

TN

Sensitivity

Specificity

Precision

Acc.

F1-Score

FM+

FM−

FM+

FM−

FM+

FM−

FM+

FM−

1

209.00

46.60

28.20

158.40

0.88

0.77

0.77

0.88

0.83

0.86

0.83

0.85

0.80

(14.80)

(39.48)

(18.95)

(41.75)

(0.08)

(0.20)

(0.20)

(0.08)

(0.10)

(0.06)

(0.08)

(0.06)

(0.13)

2

215.00

48.20

22.20

156.80

0.91

0.76

0.76

0.91

0.83

0.88

0.84

0.86

0.81

(15.49)

(36.57)

(16.45)

(37.49)

(0.07)

(0.18)

(0.18)

(0.07)

(0.10)

(0.07)

(0.08)

(0.06)

(0.12)

3

214.20

47.00

23.00

158.00

0.90

0.77

0.77

0.90

0.83

0.88

0.84

0.86

0.81

(12.34)

(32.44)

(13.87)

(33.14)

(0.06)

(0.16)

(0.16)

(0.06)

(0.09)

(0.06)

(0.07)

(0.06)

(0.11)

4

209.40

40.80

27.80

164.20

0.88

0.80

0.80

0.88

0.84

0.86

0.84

0.86

0.82

(7.57)

(19.46)

(8.87)

(20.19)

(0.04)

(0.10)

(0.10)

(0.04)

(0.06)

(0.03)

(0.03)

(0.02)

(0.05)

5

214.00

29.60

23.20

175.40

0.90

0.86

0.86

0.90

0.88

0.89

0.88

0.89

0.87

(10.05)

(12.20)

(10.73)

(13.26)

(0.04)

(0.06)

(0.06)

(0.04)

(0.04)

(0.04)

(0.02)

(0.02)

(0.02)

6

212.80

47.00

24.40

158.00

0.90

0.77

0.77

0.90

0.83

0.87

0.84

0.86

0.81

(10.03)

(34.18)

(11.87)

(36.15)

(0.05)

(0.17)

(0.17)

(0.05)

(0.10)

(0.04)

(0.06)

(0.04)

(0.09)

7

205.20

45.20

23.20

168.60

0.90

0.78

0.78

0.90

0.83

0.88

0.85

0.86

0.82

(16.89)

(29.35)

(9.73)

(41.88)

(0.04)

(0.15)

(0.15)

(0.04)

(0.08)

(0.04)

(0.06)

(0.04)

(0.10)

8

209.00

46.00

28.20

159.00

0.88

0.77

0.77

0.88

0.83

0.85

0.83

0.85

0.80

(12.02)

(36.59)

(11.05)

(37.99)

(0.05)

(0.18)

(0.18)

(0.05)

(0.10)

(0.03)

(0.07)

(0.04)

(0.11)

9

205.20

39.60

25.40

172.00

0.89

0.81

0.81

0.89

0.85

0.87

0.85

0.86

0.84

(17.20)

(25.68)

(10.55)

(34.89)

(0.05)

(0.13)

(0.13)

(0.05)

(0.07)

(0.03)

(0.05)

(0.04)

(0.07)

  1. Mean and standard deviation (in parenthesis) obtained on five cross-validation test sets (see Table 2) are shown for each model. Acc. - Accuracy. Best average values are shown in bold font.