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Table 4 Performance statistics for classification models built from 50 random subsets of 10 healthy and 10 CFS/ME subjects

From: Illness progression in chronic fatigue syndrome: a shifting immune baseline

Classification based on IL-1α, 6 and 8 Median (MADM Std Err a) Mean (Std Err)
(a) 50 random subsets: Age < =18 years  
 Correct rate 0.90 (0.01) 0.89 (0.06)
 Sensitivity 0.90 (0.00) 0.92 (0.06)
 Specificity 0.85 (0.01) 0.86 (0.08)
 Positive predictive value 0.87 (0.01) 0.87 (0.07)
 Negative predictive value 0.90 (0.00) 0.92 (0.06)
(b) 50 random subsets: 18 < Age < = 50 years
 Correct rate 0.75 (0.01) 0.76 (0.08)
 Sensitivity 0.80 (0.02) 0.78 (0.09)
 Specificity 0.70 (0.02) 0.73 (0.11)
 Positive predictive value 0.73 (0.01) 0.75 (0.10)
 Negative predictive value 0.78 (0.01) 0.77 (0.08)
(c) 50 random subsets: Age > 50 years b
 Correct rate 0.80 (0.01) 0.79 (0.08)
 Sensitivity 0.80 (0.02) 0.75 (0.12)
 Specificity 0.80 (0.01) 0.83 (0.08)
 Positive predictive value 0.80 (0.01) 0.82 (0.08)
 Negative predictive value 0.80 (0.02) 0.77 (0.09)
  1. aMADM Std Err = 1.4826 × MADM/√n
  2. b n = 28 of 47 HC to match ME/CFS age and BMI