Table 4 Final model result.

From: A synthetic data generation system for myalgic encephalomyelitis/chronic fatigue syndrome questionnaires

Metrics

Steps models summary

STEP 1

STEP 2

STEP 3

STEP 4

STEP 5

Inputs models (dimension)

SF-36 (2321 × 36)

SF-36 + HAD (2314 × 50)

SF-36 + HAD + SCL 90 R (2019 × 140)

SF36 + HAD + SCL 90 R + FIS8 (2019 × 148)

SF-36 + HAD + SCL 90 R + FIS8 + FIS40 (1902 × 188)

Accuracy

0.67

0.78

0.81

0.78

0.78

Precision

0.69

0.78

0.83

0.79

0.80

Recall

0.72

0.76

0.76

0.74

0.76

F1 score

0.70

0.77

0.81

0.76

0.78

Mean error

 − 1.35%

 − 1.22%

 − 2.59%

 − 2.81%

 − 5.50%

t-student

0.79

0.85

0.67

0.18

0.37

output

HAD

SCL 90 R

FIS8

FIS40

PSQI

  1. Each question of each step needs different parameters, so it has to train 188 models with other parameters.
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