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Table 5 Confusion matrix for classifiers of ADC vs. SQC relying on Δ x 205, Δ x 21, x U6 as well as on y DV (see Eq. (2)) and y opt (see Eq. (10))

From: Statistical analysis of a Bayesian classifier based on the expression of miRNAs

   Classification
Measure Diagnosis Target Versus
   ρ>9 9>ρ>1 9>ρ>1 ρ>9
Δ x 205 target 12 5 1 0
  versus 0 0 6 9
Δ x 21 target 9 9 1 0
  versus 8 5 2 1
x U6 target 2 14 3 0
  versus 3 4 8 1
y DV target 16 1 1 0
  versus 0 1 1 13
y opt target 16 1 1 0
  versus 1 0 0 14
  1. The quantity ρ corresponds to the odds: ρ=1 50:50; ρ=9 90:10. Entries in italic refer to false responses (false positives and negatives); the other entries refer to correct responses (true positives and negatives); high-reliability entries, with odds at least 90:10, are marked in bold